[go: up one dir, main page]

 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (6,754)

Search Parameters:
Keywords = ranging-mode

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
16 pages, 1837 KiB  
Article
Novel Burst-Mode Control for Medium-to-Light Load Operation of Dual-Active-Bridge Converters, Achieving Minimum Backflow Power, Zero-Voltage-Switching , and DC Bias Suppression
by Chanh-Tin Truong, Byeong-Ryeol Na, Jeong-Soo Park and Sung-Jin Choi
Energies 2024, 17(22), 5748; https://doi.org/10.3390/en17225748 (registering DOI) - 17 Nov 2024
Abstract
The dual-active-bridge (DAB) converter is widely used in many applications such as solid-state transformers, multi-port converters, and on-board chargers. Nevertheless, its efficiency degrades significantly under light-load conditions due to high switching and conduction losses. Since a detailed analysis for burst-mode design has not [...] Read more.
The dual-active-bridge (DAB) converter is widely used in many applications such as solid-state transformers, multi-port converters, and on-board chargers. Nevertheless, its efficiency degrades significantly under light-load conditions due to high switching and conduction losses. Since a detailed analysis for burst-mode design has not been presented in the literature, effective burst-mode control for the light-load condition is proposed in this paper. In the proposed burst-mode, the regular duty cycle and the burst duty cycle are optimally coordinated to achieve the zero-voltage-switching (ZVS) condition and the minimum backflow power at the same time. Moreover, DC bias current is effectively eliminated in the proposed burst-mode. The switching loss and conduction loss are simultaneously minimized in the proposed burst-mode control. Therefore, the light-load efficiency is significantly improved. The detailed analysis and design procedure are also presented for both buck- and boost-mode operations to deal with widely varying output voltage ranges. The control mode switching condition is determined for achieving the ZVS condition for the whole load condition; thus, the proposed burst-mode control flowchart is presented. A 4 kW DAB converter prototype is built to verify the proposed method and the experiment results show about a 2% increment in efficiency of the proposed method compared to the conventional burst-mode method. Full article
(This article belongs to the Section F3: Power Electronics)
12 pages, 2857 KiB  
Article
A Widely and Continuously Tunable Single-Mode Transmitter Based on a Hybrid Microcavity Laser
by Miao-Qing Wang, Bin Zhang, Zhen-Ning Zhang, You-Zeng Hao, Zun-Hao Hu, Yue-De Yang, Jin-Long Xiao, António L. Teixeira and Yong-Zhen Huang
Photonics 2024, 11(11), 1080; https://doi.org/10.3390/photonics11111080 (registering DOI) - 17 Nov 2024
Abstract
A method for achieving the single-mode and efficient unidirectional emission of a whispering gallery mode (WGM) semiconductor laser is presented herein. Hybrid square-rectangular lasers (HSRLs) and hybrid square/rhombus-rectangular lasers (HSRRLs) consisting of a Fabry–Pérot (FP) cavity and a square or rhombus cavity microcavity [...] Read more.
A method for achieving the single-mode and efficient unidirectional emission of a whispering gallery mode (WGM) semiconductor laser is presented herein. Hybrid square-rectangular lasers (HSRLs) and hybrid square/rhombus-rectangular lasers (HSRRLs) consisting of a Fabry–Pérot (FP) cavity and a square or rhombus cavity microcavity are described. In addition, a transmitter optical subassembly (TOSA) based on an HSRRL chip was fabricated, which has a wide and continuous wavelength tuning range. Wavelength channels from 1555.75 nm to 1568.15 nm with a spacing of 50 GHz were demonstrated with a good side mode suppression ratio (SMSR) and good output power. These devices have the potential to meet the typical requirements of optical communication networks. Full article
(This article belongs to the Special Issue Advanced Lasers and Their Applications, 2nd Edition )
16 pages, 3869 KiB  
Article
A Polarization-Insensitive and Highly Sensitive THz Metamaterial Multi-Band Perfect Absorber
by Gang Tao, Qian Zhao, Qianju Song, Zao Yi, Yougen Yi and Qingdong Zeng
Micromachines 2024, 15(11), 1388; https://doi.org/10.3390/mi15111388 (registering DOI) - 16 Nov 2024
Viewed by 279
Abstract
In this article, we present a terahertz (THz) metamaterial absorber that blends two types of coordinated materials: Dirac semimetals and vanadium dioxide. Compared to other absorbers on the market, which are currently non-adjustable or have a single adjustment method, our absorber is superior [...] Read more.
In this article, we present a terahertz (THz) metamaterial absorber that blends two types of coordinated materials: Dirac semimetals and vanadium dioxide. Compared to other absorbers on the market, which are currently non-adjustable or have a single adjustment method, our absorber is superior because it has two coordinated modes with maximum adjustment ranges of 80.7% and 0.288 THz. The device contains four flawless absorption peaks (M1, M2, M3, and M4) spanning the frequency range of 2.0 THz to 6.0 THz, all with absorption rates greater than 99%. After calculation, the relative impedance of the device matches with that in free space, resulting in perfect absorption. In addition, our absorber has extremely excellent polarization insensitivity but is highly sensitive to changes in the environmental refractive index, with the highest environmental refractive index sensitivity of 716 GHz/RIU (gigahertz per refractive index unit). To sum up, the terahertz metamaterial absorber we showed has four perfect absorption peaks, high sensitivity, and stable polarization. This means it could be useful in areas like changing electromagnetic waves, making new sensors, and switching. Full article
16 pages, 6671 KiB  
Article
Wind-Induced Vibration Control of High-Rise Buildings with Double-Skin Façades Using Distributed Multiple Tuned Façade-Dampers-Inerters
by Haiwei Xu, Lingfeng Su, Wenjuan Lou and Zhehao Chen
Appl. Sci. 2024, 14(22), 10565; https://doi.org/10.3390/app142210565 (registering DOI) - 16 Nov 2024
Viewed by 273
Abstract
To address the shortcomings of tuned mass dampers (TMD), such as excessive internal space occupation and overlarge physical mass, this paper proposes a tuned façade damper inerter (TFDI) that utilizes parts of the outer façades of double-skin façades (DSF) as damping mass, capitalizing [...] Read more.
To address the shortcomings of tuned mass dampers (TMD), such as excessive internal space occupation and overlarge physical mass, this paper proposes a tuned façade damper inerter (TFDI) that utilizes parts of the outer façades of double-skin façades (DSF) as damping mass, capitalizing on the lightweight and efficient characteristics of inerters. The TFDI effectively resolves the challenge of multi-layer connections of inerters in high-rise buildings by utilizing corridor space. By vertically distributing TFDIs, a distributed multiple TFDI (d-MTFDI) system is formed. The configuration and motion of equations of this system are presented, and the control effectiveness is validated using wind tunnel test data. Two tuning modes are further proposed: unified tuning mode and distributed tuning mode. For the unified tuning mode, analytical expressions for optimal tuning frequency and damping ratio are derived; for the distributed tuning mode, numerical optimization methods are employed to determine the optimal tuning frequency range and damping ratio. Comparative results indicate that the distributed tuning mode achieves higher control efficiency than the unified tuning mode, with a significant reduction in the required optimal damping ratio. Furthermore, comparisons with d-MTMD demonstrate that d-MTFDI significantly enhances wind-induced vibration control performance. Full article
(This article belongs to the Special Issue Vibration-Based Structural Health Monitoring of Buildings and Bridges)
Show Figures

Figure 1

Figure 1
<p>Methodology.</p>
Full article ">Figure 2
<p>Parallel motion mode of MOS.</p>
Full article ">Figure 3
<p>Configuration of a TFDI: (<b>a</b>) cross-section view; (<b>b</b>) plan view.</p>
Full article ">Figure 4
<p>Elevation view of a super high-rise building with a d-MTFDI system.</p>
Full article ">Figure 5
<p>Benchmark building information: (<b>a</b>) elevation view; (<b>b</b>) plan view; (<b>c</b>) basic mode shape.</p>
Full article ">Figure 6
<p>Comparison of (<b>a</b>) wind profile, (<b>b</b>) turbulence, and (<b>c</b>) spectrum.</p>
Full article ">Figure 7
<p>(<b>a</b>) ABS model; (<b>b</b>) wind azimuths; (<b>c</b>) PSD of <span class="html-italic">p</span>(<span class="html-italic">t</span>).</p>
Full article ">Figure 8
<p>Tuning frequency distribution of d-MTFDI.</p>
Full article ">Figure 9
<p>Plot of <span class="html-italic">J</span> with the variation of Δ and <span class="html-italic">p</span> for [<span class="html-italic">R</span>, <span class="html-italic">p</span>, <span class="html-italic">β</span>] combinations of (<b>a</b>) [2, 2, 0.2]; (<b>b</b>) [6, 2, 0.2]; (<b>c</b>) [10, 2, 0.2]; (<b>d</b>) [6, 2, 0.4]; (<b>e</b>) [6, 4, 0.4]; (<b>f</b>) [6, 10, 0.4]; (<b>g</b>) [10, 10, 0.2]; (<b>h</b>) [10, 10, 0.4]; and (<b>i</b>) [10, 10, 1] (The red hollow dots are the maximum points and the blue ones are the corresponding projection on the X-Y plane).</p>
Full article ">Figure 10
<p>Comparison of <span class="html-italic">J<sup>opt</sup></span> with two tuning modes with the variation of <span class="html-italic">β</span> and <span class="html-italic">p</span> based on optimal tuning: (<b>a</b>) <span class="html-italic">R</span> = 2; (<b>b</b>) <span class="html-italic">R</span> = 6; (<b>c</b>) <span class="html-italic">R</span> = 10.</p>
Full article ">Figure 11
<p>Comparison of <math display="inline"><semantics> <mrow> <msubsup> <mi>ξ</mi> <mi>d</mi> <mrow> <mi>o</mi> <mi>p</mi> <mi>t</mi> </mrow> </msubsup> </mrow> </semantics></math> with two tuning modes with the variation of <span class="html-italic">β</span> and p based on optimal tuning (<b>a</b>) <span class="html-italic">R</span> = 2; (<b>b</b>) <span class="html-italic">R</span> = 6; (<b>c</b>) <span class="html-italic">R</span> = 10.</p>
Full article ">Figure 12
<p>Comparison of modulus of NTF with two different tuning frequencies (<span class="html-italic">R</span> = 10, <span class="html-italic">p</span> = 10, <span class="html-italic">β</span> = 0.25).</p>
Full article ">Figure 13
<p>Design process of d-MTFDI.</p>
Full article ">Figure 14
<p>Comparison of acceleration PSD with three types of dampers (<span class="html-italic">R</span> = 10, <span class="html-italic">p</span> = 10, <span class="html-italic">β</span> = 0.25).</p>
Full article ">
12 pages, 1659 KiB  
Article
Comparative Pharmacokinetic Assessment of Curcumin in Rats Following Intratracheal Instillation Versus Oral Administration: Concurrent Detection of Curcumin and Its Conjugates in Plasma by LC-MS/MS
by Nan Li, Jinle Lou, Lingchao Wang, Wenpeng Zhang, Chunmei Jin and Xiaomei Zhuang
Pharmaceutics 2024, 16(11), 1459; https://doi.org/10.3390/pharmaceutics16111459 - 15 Nov 2024
Viewed by 204
Abstract
Objective: To establish and validate an LC-MS/MS method for the simultaneous determination of curcumin (CUR) as well as its glucuronide conjugate (COG) and sulfate conjugate (COS) in rat plasma. The method was employed to evaluate and compare the pharmacokinetic behaviors of curcumin following [...] Read more.
Objective: To establish and validate an LC-MS/MS method for the simultaneous determination of curcumin (CUR) as well as its glucuronide conjugate (COG) and sulfate conjugate (COS) in rat plasma. The method was employed to evaluate and compare the pharmacokinetic behaviors of curcumin following oral and intratracheal administration in rats. Methods: Rat plasma samples were separated by chromatography on a C18 column after protein precipitation with acetonitrile. Gradient elution with a mobile phase of 0.5 mM ammonium acetate in acetonitrile was utilized. Mass spectrometry detection incorporated an electrospray ionization (ESI) source, multiple reaction monitoring (MRM), and dual-mode (positive and negative) scanning for quantitative analysis. A total of 12 SD rats were randomly divided into two groups and were orally (20 mg/kg) or intratracheally (10 mg/kg) administrated curcumin, respectively. CUR, COG, and COS concentrations in plasma were measured to assess pharmacokinetic disparities. Results: The method demonstrated linearity within the ranges of 2–400 ng/mL for CUR and COS and 5–1000 ng/mL for COG. Intratracheal administration significantly elevated CUR plasma concentrations compared to oral administration. The exposure of COG was higher than COS following oral administration. Conversely, intratracheal administration resulted in markedly higher COS exposure, with no significant difference in COG exposure after dose normalization between oral and inhalation routes. Conclusions: The established LC-MS/MS method provides a reliable tool for the simultaneous measurement of CUR, COG, and COS in rat plasma, facilitating preclinical pharmacokinetic investigations. The study reveals distinct pharmacokinetic profiles for CUR following oral versus intratracheal administration, suggesting that inhalation may offer superior therapeutic efficacy. Full article
(This article belongs to the Special Issue ADME Properties in the Drug Delivery)
Show Figures

Figure 1

Figure 1
<p>Schematic diagram of intratracheal instillation.</p>
Full article ">Figure 2
<p>Representative chromatograms of CUR, COS, and COG in rat plasma samples. (<b>A</b>) Rat blank plasma. (<b>B</b>) Rat plasma spiked with 100 ng/mL CUR, 100 ng/mL COS, and 250 ng/mL COG. (<b>C</b>) Actual sample taken from rat after CUR (10 mg/kg) was administered by inhalation at 15 min.</p>
Full article ">Figure 3
<p>Average concentration–time curves of plasma curcumin and its conjugates after oral administration of 20 mg/kg (<b>left</b>) and inhalation of 10 mg/kg curcumin (<b>right</b>) in rats (<span class="html-italic">n</span> = 6) (blue dotted line is the lower limit of quantification of CUR).</p>
Full article ">Figure 4
<p>Comparison of dose-normalized curcumin and its conjugates in plasma after oral (20 mg/kg) and intratracheal administration (10 mg/kg) of curcumin in rats (inhalation/0.5) (<span class="html-italic">n</span> = 6). **: <span class="html-italic">p</span> &lt; 0.01 statistically significant difference compared to oral administration and ns: not statistically significant.</p>
Full article ">
21 pages, 9459 KiB  
Article
Development and Space Experiment Verification of Annular Liquid Flow Payload for China Space Station
by Jia Wang, Yi Chen, Di Wu, Liang Hu, Zhijun Ye, Li Duan, Xilin Zhao, Yongli Yin and Qi Kang
Symmetry 2024, 16(11), 1530; https://doi.org/10.3390/sym16111530 - 15 Nov 2024
Viewed by 237
Abstract
The annular flow payload is among the first batch of space science experimental projects carried out on the Fluid Physics Rack of the China Space Station. This paper provides a detailed introduction to the development of the payload, ground validation, and in orbit [...] Read more.
The annular flow payload is among the first batch of space science experimental projects carried out on the Fluid Physics Rack of the China Space Station. This paper provides a detailed introduction to the development of the payload, ground validation, and in orbit experiments. The payload, sized 320 mm × 200 mm × 220 mm, includes an annular flow model and supports supply (24 V, 12 V, and 5 V), communication, and data transmission. A multi-functional heating column in the annular flow model was designed, allowing for the column to operate in fixed, rotating, and lifting scenarios. In the first round, 96 sets of space experiments covering volume ratio ranges from 0.45 to 1.06 were carried out. The annular flow liquid surface state, temperature oscillation, and infrared temperature field evolution were obtained. Mode decomposition shows the oscillatory convection of the m = 4 travelling wave, and contains m = 3, m = 6, and m = 8 waves. Full article
(This article belongs to the Section Physics)
Show Figures

Figure 1

Figure 1
<p>Annular liquid flow model.</p>
Full article ">Figure 2
<p>Annular liquid flow payload: (<b>a</b>) payload model diagram; (<b>b</b>) physical diagram of the payload.</p>
Full article ">Figure 3
<p>Composition of the annular flow payload system.</p>
Full article ">Figure 4
<p>Internal structure of the annular flow payload.</p>
Full article ">Figure 5
<p>Central column rotates clockwise in ground experiment. The arrow indicates that the rotation direction of the central column is clockwise. (<b>a</b>) <span class="html-italic">t</span> = <span class="html-italic">τ</span>; (<b>b</b>) <span class="html-italic">t</span> = <span class="html-italic">τ</span> + 1/4 period; (<b>c</b>) <span class="html-italic">t</span> = <span class="html-italic">τ</span> + 1/2 period.</p>
Full article ">Figure 6
<p>Central column rising process in ground experiment. The arrow indicates the movement direction of the central column, which is upward. (<b>a</b>) The height of the central column from the bottom of the pool is 3.53 mm; (<b>b</b>) The height of the central column from the bottom of the pool is 4.70 mm; (<b>c</b>) The height of the central column from the bottom of the pool is 5.56 mm.</p>
Full article ">Figure 7
<p>Infrared images of HTWs with different wave numbers in ground experiment. (<b>a</b>) HTWs with <span class="html-italic">m</span> = 3, <span class="html-italic">Vr</span> = 0.2, 1.5 cSt, Δ<span class="html-italic">T</span> = <span class="html-italic">T</span><sub>H</sub> − <span class="html-italic">T</span><sub>L</sub> = 36 °C − 12 °C = 24 °C; (<b>b</b>) the corresponding circumferential temperature time evolution of (<b>a</b>); (<b>c</b>) HTWs with <span class="html-italic">m</span> = 4, <span class="html-italic">Vr</span> = 0.15, 1.5 cst, Δ<span class="html-italic">T</span> = <span class="html-italic">T</span><sub>H</sub> − <span class="html-italic">T</span><sub>L</sub> = 30 °C − 10 °C = 20 °C; (<b>d</b>) the corresponding circumferential temperature time evolution of (<b>c</b>); (<b>e</b>) HTWs with m = 5, <span class="html-italic">Vr</span> = 0.15, 1 cst, Δ<span class="html-italic">T</span> = <span class="html-italic">T</span><sub>H</sub> − <span class="html-italic">T</span><sub>L</sub> = 27 °C − 11 °C = 16 °C; (<b>f</b>) the corresponding circumferential temperature time evolution of (<b>e</b>); (<b>g</b>) HTWs with <span class="html-italic">m</span> = 6, <span class="html-italic">Vr</span> = 0.10, 1 cst, Δ<span class="html-italic">T</span> = <span class="html-italic">T</span><sub>H</sub> − <span class="html-italic">T</span><sub>L</sub> = 27 °C − 13 °C = 14 °C; (<b>h</b>) the corresponding circumferential temperature time evolution of (<b>g</b>); (<b>i</b>) disordered waveform, <span class="html-italic">Vr</span> = 0.15, 1 cst, Δ<span class="html-italic">T</span> = <span class="html-italic">T</span><sub>H</sub> − <span class="html-italic">T</span><sub>L</sub> = 60 °C − 15 °C = 45 °C; (<b>j</b>) the corresponding circumferential temperature time evolution of (<b>i</b>).</p>
Full article ">Figure 7 Cont.
<p>Infrared images of HTWs with different wave numbers in ground experiment. (<b>a</b>) HTWs with <span class="html-italic">m</span> = 3, <span class="html-italic">Vr</span> = 0.2, 1.5 cSt, Δ<span class="html-italic">T</span> = <span class="html-italic">T</span><sub>H</sub> − <span class="html-italic">T</span><sub>L</sub> = 36 °C − 12 °C = 24 °C; (<b>b</b>) the corresponding circumferential temperature time evolution of (<b>a</b>); (<b>c</b>) HTWs with <span class="html-italic">m</span> = 4, <span class="html-italic">Vr</span> = 0.15, 1.5 cst, Δ<span class="html-italic">T</span> = <span class="html-italic">T</span><sub>H</sub> − <span class="html-italic">T</span><sub>L</sub> = 30 °C − 10 °C = 20 °C; (<b>d</b>) the corresponding circumferential temperature time evolution of (<b>c</b>); (<b>e</b>) HTWs with m = 5, <span class="html-italic">Vr</span> = 0.15, 1 cst, Δ<span class="html-italic">T</span> = <span class="html-italic">T</span><sub>H</sub> − <span class="html-italic">T</span><sub>L</sub> = 27 °C − 11 °C = 16 °C; (<b>f</b>) the corresponding circumferential temperature time evolution of (<b>e</b>); (<b>g</b>) HTWs with <span class="html-italic">m</span> = 6, <span class="html-italic">Vr</span> = 0.10, 1 cst, Δ<span class="html-italic">T</span> = <span class="html-italic">T</span><sub>H</sub> − <span class="html-italic">T</span><sub>L</sub> = 27 °C − 13 °C = 14 °C; (<b>h</b>) the corresponding circumferential temperature time evolution of (<b>g</b>); (<b>i</b>) disordered waveform, <span class="html-italic">Vr</span> = 0.15, 1 cst, Δ<span class="html-italic">T</span> = <span class="html-italic">T</span><sub>H</sub> − <span class="html-italic">T</span><sub>L</sub> = 60 °C − 15 °C = 45 °C; (<b>j</b>) the corresponding circumferential temperature time evolution of (<b>i</b>).</p>
Full article ">Figure 8
<p>Quasi-equilibrium state, hydrothermal wave with <span class="html-italic">m</span> = 6, <span class="html-italic">Vr</span> = 0.15, 1 cst, Δ<span class="html-italic">T</span> = <span class="html-italic">T</span><sub>H</sub> − <span class="html-italic">T</span><sub>L</sub> = 26 °C − 11 °C = 15 °C. The time interval from (<b>a</b>) to (<b>d</b>) is 1 s. (<b>a</b>) <span class="html-italic">t</span> = <span class="html-italic">τ</span>; (<b>b</b>) <span class="html-italic">t</span> = <span class="html-italic">τ</span> + 1 s; (<b>c</b>) <span class="html-italic">t</span> = <span class="html-italic">τ</span> + 2 s; (<b>d</b>) <span class="html-italic">t</span> = <span class="html-italic">τ</span> + 3 s. The red area <span class="html-italic">R</span>0 is an identification area made for facilitating the display of the rotation of the central column.</p>
Full article ">Figure 9
<p>Installation of the annular flow payload in the fluid cabinet (red area).</p>
Full article ">Figure 10
<p>On-orbit experiment process of the annular flow payload.</p>
Full article ">Figure 11
<p>Annular liquid flow in space. (<b>a</b>) Fixed central column: on the free surface, under the action of surface tension, the liquid flows from the center to the side wall. Following the conservation of mass, the liquid at the bottom flows back to the central column from the side wall. (<b>b</b>) Central column lifting: it can be lifted from the bottom to 15 mm. (<b>c</b>) Central column rotation: it can move clockwise or counterclockwise.</p>
Full article ">Figure 12
<p>Temporal evolution of temperature (circumferential): (<b>a</b>) the infrared image after modal decomposition, <span class="html-italic">Vr</span> = 1.05, 2 cSt, Δ<span class="html-italic">T</span> = <span class="html-italic">T</span><sub>H</sub> − <span class="html-italic">T</span><sub>L</sub> = 44 °C − 24 °C = 20 °C; (<b>b</b>) the corresponding circumferential temperature–time evolution.</p>
Full article ">Figure 13
<p>Modal decomposition of annular flow data (arranged according to the energy of HTWs), <span class="html-italic">Vr</span> = 1.0, 2 cSt, Δ<span class="html-italic">T</span> = <span class="html-italic">T</span><sub>H</sub> − <span class="html-italic">T</span><sub>L</sub> = 43 °C − 23 °C = 20 °C. (<b>a</b>) Infrared disturbance image after subtracting the average value, <span class="html-italic">m</span> = 4; (<b>b</b>) infrared disturbance images during heating and cooling; (<b>c</b>) <span class="html-italic">m</span> = 4, traveling wave, clockwise; (<b>d</b>) <span class="html-italic">m</span> = 8, harmonic wave; (<b>e</b>) <span class="html-italic">m</span> = 6, harmonic wave; (<b>f</b>) <span class="html-italic">m</span> = 8, harmonic wave; (<b>g</b>) <span class="html-italic">m</span> = 3, harmonic wave; (<b>h</b>) <span class="html-italic">m</span> = 8, harmonic wave.</p>
Full article ">Figure 13 Cont.
<p>Modal decomposition of annular flow data (arranged according to the energy of HTWs), <span class="html-italic">Vr</span> = 1.0, 2 cSt, Δ<span class="html-italic">T</span> = <span class="html-italic">T</span><sub>H</sub> − <span class="html-italic">T</span><sub>L</sub> = 43 °C − 23 °C = 20 °C. (<b>a</b>) Infrared disturbance image after subtracting the average value, <span class="html-italic">m</span> = 4; (<b>b</b>) infrared disturbance images during heating and cooling; (<b>c</b>) <span class="html-italic">m</span> = 4, traveling wave, clockwise; (<b>d</b>) <span class="html-italic">m</span> = 8, harmonic wave; (<b>e</b>) <span class="html-italic">m</span> = 6, harmonic wave; (<b>f</b>) <span class="html-italic">m</span> = 8, harmonic wave; (<b>g</b>) <span class="html-italic">m</span> = 3, harmonic wave; (<b>h</b>) <span class="html-italic">m</span> = 8, harmonic wave.</p>
Full article ">Figure 14
<p>Annular flow space scientific data: (<b>a</b>) temperature data collected by thermocouples, and the arrow indicates the critical oscillation point; (<b>b</b>) frequency analysis of temperature data collected by thermocouples, the main frequency <span class="html-italic">f</span><sub>0</sub> = 0.30 Hz; (<b>c</b>) original infrared image; (<b>d</b>) processed infrared image.</p>
Full article ">Figure 15
<p>Chaotic attractor: (<b>a</b>) position of selected point, <span class="html-italic">P</span><sub>a</sub>; (<b>b</b>) time histories of the temperature oscillations; (<b>c</b>) phase space reconstructions; (<b>d</b>) <span class="html-italic">λ</span> (Lyapunov exponent) calculation by the small data method. <span class="html-italic">T</span> (<span class="html-italic">τ</span>) is the temperature at time <span class="html-italic">τ</span>.</p>
Full article ">
15 pages, 59170 KiB  
Technical Note
Investigating Defect Detection in Advanced Ceramic Additive Manufacturing Using Active Thermography
by Anthonin Demarbaix, Enrique Juste, Tim Verlaine, Ilario Strazzeri, Julien Quinten and Arnaud Notebaert
NDT 2024, 2(4), 504-518; https://doi.org/10.3390/ndt2040031 - 15 Nov 2024
Viewed by 258
Abstract
Additive manufacturing of advanced materials has become widespread, encompassing a range of materials including thermoplastics, metals, and ceramics. For the ceramics, the complete production process typically involves indirect additive manufacturing, where the green ceramic part undergoes debinding and sintering to achieve its final [...] Read more.
Additive manufacturing of advanced materials has become widespread, encompassing a range of materials including thermoplastics, metals, and ceramics. For the ceramics, the complete production process typically involves indirect additive manufacturing, where the green ceramic part undergoes debinding and sintering to achieve its final mechanical and thermal properties. To avoid unnecessary energy-intensive steps, it is crucial to assess the internal integrity of the ceramic in its green stage. This study aims to investigate the use of active thermography for defect detection. The approach is to examine detectability using two benchmarks: the first focuses on the detectability threshold, and the second on typical defects encountered in 3D printing. For the first benchmark, reflection and transmission modes are tested with and without a camera angle to minimize reflection. The second benchmark will then be assessed using the most effective configurations identified. All defects larger than 1.2 mm were detectable across the benchmarks. The method can successfully detect defects, with transmission mode being more suitable since it does not require a camera angle adjustment to avoid reflections. However, the method struggles to detect typical 3D-printing defects because the minimum defect size is 0.6 mm, which is the size of the nozzle. Full article
(This article belongs to the Topic Nondestructive Testing and Evaluation)
Show Figures

Figure 1

Figure 1
<p>The three different mechanisms for MEX additive manufacturing.</p>
Full article ">Figure 2
<p>Physical principal of active thermography.</p>
Full article ">Figure 3
<p>External appearance of benchmarks at the end of 3D printing.</p>
Full article ">Figure 4
<p>Schematic view of benchmark B1 called benchmark “detection threshold”.</p>
Full article ">Figure 5
<p>Schematic view of benchmark B2 called benchmark “defect printing”.</p>
Full article ">Figure 6
<p>Schematic view of the experimental setup: (<b>a</b>) reflection mode and (<b>b</b>) transmission mode.</p>
Full article ">Figure 7
<p>Schematic view of the camera tilt in the experimental setup.</p>
Full article ">Figure 8
<p>PCT of benchmark B1 in 0° angle transmission with shape tracing.</p>
Full article ">Figure 9
<p>Measurement of the largest defects on PCT: (<b>a</b>) benchmark B1 and (<b>b</b>) benchmark B2.</p>
Full article ">
10 pages, 20455 KiB  
Communication
Sub-Micron Two-Dimensional Displacement Sensor Based on a Multi-Core Fiber
by Kexin Zhu, Shijie Ren, Xiangdong Li, Yuanzhen Liu, Jiaxin Li, Liqiang Zhang and Minghong Wang
Photonics 2024, 11(11), 1073; https://doi.org/10.3390/photonics11111073 - 15 Nov 2024
Viewed by 267
Abstract
A sub-micron two-dimensional displacement sensor based on a segment of multi-core fiber is presented in this paper. Light at the wavelengths of 1520 nm, 1530 nm, and 1540 nm was introduced separately into three cores of a seven-core fiber (SCF). They were independently [...] Read more.
A sub-micron two-dimensional displacement sensor based on a segment of multi-core fiber is presented in this paper. Light at the wavelengths of 1520 nm, 1530 nm, and 1540 nm was introduced separately into three cores of a seven-core fiber (SCF). They were independently transmitted in their respective cores, and after being emitted from the other end of the SCF, they were irradiated onto the end-face of a single-mode fiber (SMF). The SMF received light at three different wavelengths, the power of which was related to the relative position between the SCF and the SMF. When the SMF moved within a two-dimensional plane, the direction of displacement could be determined based on the changes in power at different wavelengths. As a benefit of the high sensitivity of the spectrometer, the sensor could detect displacements at the sub-micron level. When the SMF was translated in 200 nm steps over a range from 5.2 μm to 6.2 μm, the sensitivities at the wavelengths of 1520 nm, 1530 nm, and 1540 nm were 0.34 dB/μm, 0.40 dB/μm, and 0.36 dB/μm, respectively. The two-dimensional displacement sensor proposed in this paper offers the advantages of high detection precision, simple structure, and ease of implementation. Full article
(This article belongs to the Section Lasers, Light Sources and Sensors)
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Schematic diagram of the two-dimensional displacement sensor; (<b>b</b>) schematic diagram of the seven-core fiber end-face; (<b>c</b>) distribution of light spots on the end-face of the single-mode fiber.</p>
Full article ">Figure 2
<p>Gaussian beam output from core ①.</p>
Full article ">Figure 3
<p>Numerical model of the two-dimensional displacement sensor.</p>
Full article ">Figure 4
<p>(<b>a</b>) Definition of movement angle; (<b>b</b>) the power variation received by the SMF when moving in different directions; (<b>c</b>) the dependence of distance, t, on the angle.</p>
Full article ">Figure 5
<p>Variation in the optical power for each wavelength received by the SMF when it moves in different directions: (<b>a</b>) 30°; (<b>b</b>) 180°; (<b>c</b>) 210°.</p>
Full article ">Figure 6
<p>(<b>a</b>) Cross-sectional view of the SCF captured by a 1000× CCD camera; (<b>b</b>) schematic diagram of the displacement sensor; (<b>c</b>) relationship between the received power and the distance between the SCF and SMF.</p>
Full article ">Figure 7
<p>Power fluctuation of the light source within one hour. (<b>a</b>) stability of the light source itself; (<b>b</b>) Spectra of repeated scans of the experimental setup; (<b>c</b>) the power variation read by the spectrometer.</p>
Full article ">Figure 8
<p>Changes in power at different wavelengths when the SMF moves in the directions of 30° (<b>a1</b>,<b>a2</b>), 180° (<b>b1</b>,<b>b2</b>), and 210° (<b>c1</b>,<b>c2</b>).</p>
Full article ">Figure 8 Cont.
<p>Changes in power at different wavelengths when the SMF moves in the directions of 30° (<b>a1</b>,<b>a2</b>), 180° (<b>b1</b>,<b>b2</b>), and 210° (<b>c1</b>,<b>c2</b>).</p>
Full article ">Figure 9
<p>Changes in power at different wavelengths with the SMF moved in increments of 1 μm (<b>a</b>–<b>c</b>) and 200 nm (<b>d</b>–<b>f</b>).</p>
Full article ">Figure 9 Cont.
<p>Changes in power at different wavelengths with the SMF moved in increments of 1 μm (<b>a</b>–<b>c</b>) and 200 nm (<b>d</b>–<b>f</b>).</p>
Full article ">
25 pages, 7917 KiB  
Article
Synthesis of New 1,4-Naphthoquinone Fluorosulfate Derivatives and the Study of Their Biological and Electrochemical Properties
by Natalia V. Aseeva, Nadezhda V. Danilenko, Evgenii V. Plotnikov, Elena I. Korotkova, Olga I. Lipskikh, Anna N. Solomonenko, Alina V. Erkovich, Daria D. Eskova and Andrei I. Khlebnikov
Int. J. Mol. Sci. 2024, 25(22), 12245; https://doi.org/10.3390/ijms252212245 - 14 Nov 2024
Viewed by 503
Abstract
This study presents the synthesis of new fluorosulfate derivatives of 1,4-naphthoquinone by the SuFEx reaction. Anticancer properties of obtained compounds were studied on PC-3 (prostate adenocarcinoma), SKOV-3 (ovarian cancer), MCF-7 (breast cancer), and Jurkat cell lines. All the studied compounds showed higher cytotoxic [...] Read more.
This study presents the synthesis of new fluorosulfate derivatives of 1,4-naphthoquinone by the SuFEx reaction. Anticancer properties of obtained compounds were studied on PC-3 (prostate adenocarcinoma), SKOV-3 (ovarian cancer), MCF-7 (breast cancer), and Jurkat cell lines. All the studied compounds showed higher cytotoxic effects than Cisplatin. The DFT method was applied to determine the electronic structure characteristics of 1,4-naphthoquinone derivatives associated with cytotoxicity. A method of determination of 2,3-dichloro-1,4-naphthoquinone (NQ), 3-chloro-2-((4-hydroxyphenylamino)-1,4-naphthoquinone (NQ1), and 4-((3-chloro-1,4-naphthoquinon-2-yl)amino)phenyl fluorosulfate (NQS) in a pharmaceutical substance using an impregnated graphite electrode (IMGE) was developed. The morphology of the IMGE surface was studied using scanning electron microscopy (SEM). The electrochemical behavior of NQ, NQ1, and NQS was studied by cyclic voltammetry (CV) in 0.1 M NaClO4 (96% ethanol solution) at pH 4.0 in a potential range from −1 to +1.2 V. Electrochemical redox mechanisms for the investigated compounds were proposed based on the determining main features of the electrochemical processes. Calibration curves were obtained by linear scan voltammetry in the first derivative mode (LSVFD) with the detection limit (LOD) 7.2 × 10−6 mol·L−1 for NQ, 8 × 10−7 mol·L−1 for NQ1, and 8.6 × 10−8 mol·L−1 for NQS, respectively. Full article
(This article belongs to the Section Physical Chemistry and Chemical Physics)
Show Figures

Figure 1

Figure 1
<p>Radar bioavailability plots for compounds <b>NQ</b>, <b>NQ1</b>, <b>NQ2</b>, <b>NQS</b>, <b>NQS2</b>. The plots show the parameters LIPO (lipophilicity), SIZE (molecular weight), POLAR (polarity), INSOLU (insolubility), INSATU (insaturation) and FLEX (conformational flexibility).</p>
Full article ">Figure 2
<p>Distribution of cell death variants in the Jurkat cell population after 24 h of exposure to compounds at different concentrations (n = 6). The ratio of viable cells to cells in a state of early apoptosis, late apoptosis or necrosis is shown in the graphs.</p>
Full article ">Figure 3
<p>Oxidative stress level in Jurkat cells after 24 h of exposure to compounds at different concentrations. Results are shown as the percentage of cells with high levels of reactive oxygen species production (ROS+) and ROS-negative cells (ROS−) from the total cell population (n = 6).</p>
Full article ">Figure 4
<p>Cyclic voltammograms: (<b>A</b>) <b>NQ</b>, (<b>B</b>) <b>NQ1</b>, (<b>C</b>) <b>NQS</b> in 0.1 M NaClO<sub>4</sub> 96% ethanol solution (pH 4.0) at the IMGE vs. silver chloride electrode (1 mol·L<sup>−1</sup> KCl); v = 100 mV·s<sup>−1</sup>.</p>
Full article ">Figure 5
<p>The dependence of LSV peak current of (<b>A</b>) <b>NQ,</b> (<b>B</b>) <b>NQ1,</b> (<b>C</b>) <b>NQS</b> on the scan rate v in 0.1 mol·L<sup>−1</sup> NaClO<sub>4</sub> 96% ethanol solution at the IMGE vs. silver chloride electrode (1 mol·L<sup>−1</sup> KCl). Inset: Graph of lg I<sub>p</sub> vs. lg v (Semerano criterion).</p>
Full article ">Figure 6
<p>The dependence of the LSV reduction peak current on v1/2 in 0.1 M NaClO<sub>4</sub> 96% ethanol solution at the IMGE vs. silver chloride electrode (1 mol·L<sup>−1</sup> KCl). Inset: Cyclic voltammograms: NQ (A), NQ1 (B) and NQS (C) in 0.1 M NaClO<sub>4</sub> 96% ethanol solution (pH 4.0) at the IMGE vs. silver chloride electrode (1 mol·L<sup>−1</sup> KCl); v = 30–210 mV·s<sup>−1</sup>.</p>
Full article ">Figure 7
<p>The proposed mechanism of electrochemical oxidation–reduction reactions (<b>A</b>) <b>NQ,</b> (<b>B</b>) <b>NQ1</b> and (<b>C</b>) <b>NQS</b> on the IMGE.</p>
Full article ">Figure 8
<p>The dependence of <b>NQ</b> cathodic peak current measured by LSV on different parameters: (<b>A</b>) pH of the background electrolyte 0.1 M NaClO<sub>4</sub> 96% ethanol solution (without accumulation); (<b>B</b>) accumulation potential, V (pH 2.0; accumulation time 10 s); (<b>C</b>) accumulation time, s in 0.1 M NaClO<sub>4</sub> 96% ethanol solution (pH 2.0; accumulation potential 1 V) at the IMGE vs. silver chloride electrode (1 mol·L<sup>−1</sup> KCl); v = 100 mV·s<sup>−1</sup>.</p>
Full article ">Figure 9
<p>The dependence of the <b>NQ1</b> anodic peak current and <b>NQS</b> cathodic peak current measured by LSV on pH of the background electrolyte 0.1 M NaClO<sub>4</sub> 96% ethanol solution at the IMGE vs. silver chloride electrode (1 mol·L<sup>−1</sup> KCl); v = 100 mV·s<sup>−1</sup>. HCl or NaOH was added to the background electrolyte to obtain the desired pH value.</p>
Full article ">Figure 10
<p>The dependence of <b>NQ1</b> anodic peak current measured by LSV in 0.1 M NaClO<sub>4</sub> 96% ethanol solution on (<b>A</b>) accumulation potential, V (accumulation time 30 s); (<b>B</b>) accumulation time, s (accumulation potential −1.0 V) and <b>NQS</b> cathodic peak current measured by LSV in 0.1 M NaClO<sub>4</sub> 96% ethanol solution on (<b>C</b>) accumulation potential, V (accumulation time 20 s); (<b>D</b>) accumulation time, s (accumulation potential −1.8 V) at the IMGE vs. silver chloride electrode (1 mol·L<sup>−1</sup> KCl); v = 100 mV·s<sup>−1</sup>.</p>
Full article ">Figure 11
<p>The linear plots of LSVFD peak current on the concentration of (<b>A</b>) <b>NQ</b> (pH 2.0) in the concentration range 2 × 10<sup>−5</sup>–8 × 10<sup>−4</sup> M; (<b>B</b>) <b>NQ1</b> (pH 10.0) in the concentration range 1 × 10<sup>−6</sup>–8 × 10<sup>−4</sup> M; (<b>C</b>) <b>NQS</b> (pH 10.0) in the concentration range 5 × 10<sup>−7</sup>–1 × 10<sup>−5</sup> M in 0.1 M NaClO<sub>4</sub> 96% ethanol solution (pH 4.0) at the IMGE vs. silver chloride electrode (1 mol·L<sup>−1</sup> KCl); potential scan rate 100 mV·s<sup>−1</sup>. The bars indicate standard deviations.</p>
Full article ">Figure 12
<p>The influence of 10-fold excess of interfering components on the peak current of 5 µmol·L<sup>−1</sup> solutions of (<b>A</b>) <b>NQ1</b> and (<b>B</b>) <b>NQS</b> at the IMGE obtained by LSVFD. Error bars indicate standard deviations.</p>
Full article ">Figure 13
<p>The atom numbering used for signal assignments in the <sup>1</sup>H NMR spectra.</p>
Full article ">Figure 14
<p>SEM images of the IMGE in SE mode: (<b>A</b>) at 1000 magnification; (<b>B</b>) at 10000 magnification.</p>
Full article ">Figure 15
<p>Cyclic voltammograms of 5·10<sup>−3</sup> mol·L<sup>−1</sup> [Fe(CN)<sub>6</sub>]<sup>3−</sup>/[Fe(CN)<sub>6</sub>]<sup>4−</sup> in 1 mol·L<sup>−1</sup> KCl at the IMGE, v =100 mV·s<sup>−1</sup>.</p>
Full article ">Figure 16
<p>The EIS spectra of the IMGE (<b>A</b>) in the capacity coordinates in PBS solution (pH 6.86); (<b>B</b>) in the presence of 5·10<sup>−3</sup> mol·L<sup>−1</sup> [Fe(CN)<sub>6</sub>]<sup>3−</sup>/[Fe(CN)<sub>6</sub>]<sup>4−</sup> in 0.1 mol·L<sup>−1</sup> KCl in Nyquist coordinates. Inset: equivalent electrical circuits (Rs—solution resistance; CPE—constant phase element (replaces the capacitance); Rct—the charge transfer resistance; W—Warburg element).</p>
Full article ">Scheme 1
<p>Synthesis of hydroxyphenylamino derivatives from 2,3-dichloro-1,4-naphthoquinone.</p>
Full article ">Scheme 2
<p>Synthesis of 1,4-naphthoquinone-based fluorosulfate derivatives.</p>
Full article ">Scheme 3
<p>Synthesis of the silylated hydroxyphenylamino derivatives.</p>
Full article ">Scheme 4
<p>Synthesis of fluorosulfates from the silylated derivatives.</p>
Full article ">Scheme 5
<p>One-pot synthesis of the 1,4-naphthoquinone-based fluorosulfates.</p>
Full article ">
16 pages, 4404 KiB  
Article
Dual-Fuzzy Regenerative Braking Control Strategy Based on Braking Intention Recognition
by Yaning Qin, Zhu’an Zheng and Jialing Chen
World Electr. Veh. J. 2024, 15(11), 524; https://doi.org/10.3390/wevj15110524 - 14 Nov 2024
Viewed by 406
Abstract
Regenerative braking energy recovery is of critical importance for electric vehicles due to their range limitations. To further enhance regenerative braking energy recovery, a dual-fuzzy regenerative braking control strategy based on braking intention recognition is proposed. Firstly, the distribution strategy for braking force [...] Read more.
Regenerative braking energy recovery is of critical importance for electric vehicles due to their range limitations. To further enhance regenerative braking energy recovery, a dual-fuzzy regenerative braking control strategy based on braking intention recognition is proposed. Firstly, the distribution strategy for braking force is devised by considering classical curves like ideal braking force allocation and ECE regulations; secondly, taking the brake pedal opening and its opening change rate as inputs, the braking intention recognition fuzzy controller is designed for outputting braking strength. Based on the recognized braking strength, and considering the battery charging state and the speed of the vehicle as inputs, a regenerative braking duty ratio fuzzy controller is developed for regenerative braking force regulation to improve energy recovery. Furthermore, a control experiment is established to evaluate and compare the four models and their respective nine braking modes, aiming to define the dual fuzzy logic controller model. Ultimately, simulation validation is conducted using Matlab/Simulink R2019b and CRUISE 2019. The results show that the strategy in this paper has higher energy savings compared to the single fuzzy control and parallel control methods, with energy recovery improved by 26.26 kJ and 96.13 kJ under a single New European Driving Cycle (NEDC), respectively. Full article
Show Figures

Figure 1

Figure 1
<p>Vehicle braking force analysis.</p>
Full article ">Figure 2
<p>Braking force distribution scheme.</p>
Full article ">Figure 3
<p>Braking intention recognition fuzzy controller structure.</p>
Full article ">Figure 4
<p>Regenerative braking duty ratio fuzzy controller structure.</p>
Full article ">Figure 5
<p>Dual fuzzy controller structure.</p>
Full article ">Figure 6
<p>Variables relationship surface of the fuzzy controller for braking intention recognition. (<b>a</b>) T_T-type affiliation function; (<b>b</b>) G_S-type affiliation function.</p>
Full article ">Figure 7
<p>Affiliation function of the fuzzy controller for brake intention recognition. (<b>a</b>) Brake pedal opening; (<b>b</b>) Brake pedal opening rate of change; (<b>c</b>) Brake strength.</p>
Full article ">Figure 8
<p>Input and output relationship surface of the fuzzy controller for regenerative braking ratio. (<b>a</b>) T_T-type affiliation function; (<b>b</b>) G_S-type affiliation function.</p>
Full article ">Figure 9
<p>Affiliation function of the fuzzy controller for regenerative braking duty ratio.</p>
Full article ">Figure 10
<p>Plot of vehicle speed as a function of battery <span class="html-italic">SOC</span> correction factor. (<b>a</b>) Speed correction factor; (<b>b</b>) <span class="html-italic">SOC</span> correction factor.</p>
Full article ">Figure 11
<p>Vehicle speed follows under different cycle conditions. (<b>a</b>) Speed following under NEDC conditions; (<b>b</b>) Speed following under EUDC conditions.</p>
Full article ">Figure 12
<p>Energy recovery under different cycle conditions. (<b>a</b>) Energy recovery under NEDC conditions; (<b>b</b>) Energy recovery under EUDC conditions.</p>
Full article ">Figure 13
<p>Variation of battery <span class="html-italic">SOC</span> under different cycle conditions. (<b>a</b>) <span class="html-italic">SOC</span> under NEDC conditions; (<b>b</b>) <span class="html-italic">SOC</span> under EUDC conditions.</p>
Full article ">
12 pages, 1868 KiB  
Article
From the Operating Theater to the Pathology Laboratory: Failure Mode, Effects, and Criticality Analysis of the Biological Samples Transfer
by Francesco De Micco, Anna De Benedictis, Roberto Scendoni, Vittoradolfo Tambone, Gianmarco Di Palma and Rossana Alloni
Healthcare 2024, 12(22), 2279; https://doi.org/10.3390/healthcare12222279 - 14 Nov 2024
Viewed by 221
Abstract
Introduction: The frozen section intra-operative consultation is a pathology procedure that provides real-time evaluations of tissue samples during surgery, enabling quick and informed decisions. In the pre-analytical phase, errors related to sample collection, transport, and identification are common, and tools like failure [...] Read more.
Introduction: The frozen section intra-operative consultation is a pathology procedure that provides real-time evaluations of tissue samples during surgery, enabling quick and informed decisions. In the pre-analytical phase, errors related to sample collection, transport, and identification are common, and tools like failure mode, effects, and criticality analysis help identify and prevent risks. This study aims to enhance patient safety and diagnostic quality by analyzing risks and optimizing sample management. Materials and Methods: The failure mode, effects, and criticality analysis was conducted by a multidisciplinary team to analyze the workflow of frozen section sample handling from collection in the operating theater to acceptance at the pathology lab. Six steps were identified, each assigned tasks and responsibilities, with risks assessed through the risk priority number, calculated from severity, occurrence, and detectability. Severity was classified based on the WHO framework, ranging from “No Harm” to “Death”, to prioritize risks effectively. Results: The study identified 12 failure modes across 11 sub-processes, prioritized by risk. Key failures included missing patient identification, incorrect sample retrieval, missing labels, misdirected samples, and samples sent to the wrong lab. Discussion: Pre-analytical errors in pathology pose risks to diagnosis and patient care, with most errors occurring in this phase. A multidisciplinary team identified key issues, such as sample mislabeling and delays due to staff unavailability, and implemented corrective actions, including improved signage, staff re-training, and sample tracking systems. Monitoring and regular checks ensured ongoing adherence to protocols and reduced the risks of misidentification, transport delays, and procedural errors. Conclusions: The frozen section intra-operative consultation is vital in surgical pathology, with the pre-analytical phase posing significant risks due to potential errors in sample handling and labeling. Failure mode, effects, and criticality analysis has proven effective in identifying and prioritizing these failures, despite resource demands, by allowing corrective actions that enhance patient safety and healthcare quality. Full article
(This article belongs to the Section Healthcare Quality and Patient Safety)
Show Figures

Figure 1

Figure 1
<p>FMECA model: from identifying a high-risk process to redesigning it to reduce risk and ensure greater patient protection.</p>
Full article ">Figure 2
<p>FMECA model: qualitative and quantitative analysis.</p>
Full article ">Figure 3
<p>Pre-analytical phase.</p>
Full article ">Figure 4
<p>Identified risk priorities.</p>
Full article ">
12 pages, 1913 KiB  
Article
Optical Bench Evaluation of a Novel, Hydrophobic, Acrylic, One-Piece, Polyfocal Intraocular Lens with a “Zig-Zag” L-Loop Haptic Design
by Andreas F. Borkenstein, Eva-Maria Borkenstein, Pooria Omidi and Achim Langenbucher
Vision 2024, 8(4), 66; https://doi.org/10.3390/vision8040066 - 14 Nov 2024
Viewed by 246
Abstract
Purpose: The number of presbyopia-correcting (premium) intraocular lenses (IOLs) is growing steadily as the desire for spectacle independence after cataract surgery increases. The aim of this laboratory study was to evaluate a newly launched hydrophobic, acrylic, polyfocal, refractive intraocular lens with a new [...] Read more.
Purpose: The number of presbyopia-correcting (premium) intraocular lenses (IOLs) is growing steadily as the desire for spectacle independence after cataract surgery increases. The aim of this laboratory study was to evaluate a newly launched hydrophobic, acrylic, polyfocal, refractive intraocular lens with a new optical design and geometry. This polyfocal IOL has three different zones (within the optic) with radially asymmetric design. Methods: We performed optical bench tests to calculate the optical characteristics of the sample. The optical performance and quality of IOLs based on ISO 11979-2 and 11979-9 requirements were analyzed with the NIMO TR0815 (Lambda-X). In addition, optical quality metrics were evaluated with the IOLA MFD device (Rotlex). Sphere, Add, modulation transfer function (MTF), the energy distribution between the modes and the MTF along the whole range from far to near were analyzed. Results: The power histogram showed that the tested IOL has the characteristics of a polyfocal IOL with a wide range of optical power between 20.5 and 24.5 diopters. Two distinct peaks were observed, indicating bifocal functionality. In the radial and axial power surface map, all three zones, stated by the company, could be detected. Larger apertures lead to a significant increase in MTF at the far peak, indicating better visual acuity for distant objects under low-light conditions. It was observed that in small aperture sizes, intermediate vision seems to be dominant. The energy distribution remained almost constant with increasing aperture size. Conclusions: This laboratory study was able to confirm the properties of the polyfocal lens stated by the company. Three optical zones could be identified. However, further optical bench tests should be performed to evaluate the new lens under tilted and decentered conditions. Clinical studies have to confirm that the presbyopia-correcting, polyfocal lens can achieve good clinical results with high patient satisfaction without disturbing side effects. Full article
Show Figures

Figure 1

Figure 1
<p>Schematic drawing of the newly launched hydrophobic, acrylic, polyfocal presbyopia-correcting intraocular lens (AutofocusPro, ModelNo VVB10SCA) showing the three optical zones and the “zig-zag L-loop” haptic design.</p>
Full article ">Figure 2
<p>Multi-aperture MTF and power analysis for near and far focus. This figure presents the modulation transfer function (MTF) and optical power for both near and far focal points as a function of aperture size. The far power is represented by the green curve, while the near power is shown in orange. The red and blue lines correspond to the MTF at far and near focal points, respectively. The trends indicate how the optical performance and power vary with changes in aperture, highlighting the differences between near and far focus through various aperture sizes.</p>
Full article ">Figure 3
<p>Relative intensity distribution for far and near vision across aperture sizes. This figure shows the relative intensity distribution (RNI) between far (red) and near (green) focal points as a function of aperture size. As aperture size increases, the near intensity decreases while the far intensity increases, crossing at approximately 3.4 mm. The results indicate a shift in energy distribution favoring distance vision at larger apertures.</p>
Full article ">Figure 4
<p>Through-focus modulation transfer function of a multifocal lens. This figure illustrates the through-focus modulation transfer function (MTF) for a bifocal multifocal lens along two perpendicular meridians, at 0° (dark red line) and 90° (light red line). Peaks in the MTF curves correspond to the near and far focal points. The optical power ranges between 16.26 D to 28.2 D, with higher MTF values indicating better resolution at those specific focal points.</p>
Full article ">Figure 5
<p>Power and Energy Distribution for Near and Far Focus with Aperture Size. This figure shows the distribution of optical energy between the near (green) and far (red) focal points as aperture size changes. The near energy distribution de-creases with increasing aperture, while far energy increases, demonstrating how optical performance for both distances is affected by aperture size.</p>
Full article ">
17 pages, 2798 KiB  
Article
A Comprehensive LC–MS Metabolomics Assay for Quantitative Analysis of Serum and Plasma
by Lun Zhang, Jiamin Zheng, Mathew Johnson, Rupasri Mandal, Meryl Cruz, Miriam Martínez-Huélamo, Cristina Andres-Lacueva and David S. Wishart
Metabolites 2024, 14(11), 622; https://doi.org/10.3390/metabo14110622 - 14 Nov 2024
Viewed by 302
Abstract
Background/Objectives: Targeted metabolomics is often criticized for the limited metabolite coverage that it offers. Indeed, most targeted assays developed or used by researchers measure fewer than 200 metabolites. In an effort to both expand the coverage and improve the accuracy of metabolite quantification [...] Read more.
Background/Objectives: Targeted metabolomics is often criticized for the limited metabolite coverage that it offers. Indeed, most targeted assays developed or used by researchers measure fewer than 200 metabolites. In an effort to both expand the coverage and improve the accuracy of metabolite quantification in targeted metabolomics, we decided to develop a comprehensive liquid chromatography–tandem mass spectrometry (LC–MS/MS) assay that could quantitatively measure more than 700 metabolites in serum or plasma. Methods: The developed assay makes use of chemical derivatization followed by reverse phase LC–MS/MS and/or direct flow injection MS (DFI–MS) in both positive and negative ionization modes to separate metabolites. Multiple reaction monitoring (MRM), in combination with isotopic standards and multi-point calibration curves, is used to detect and absolutely quantify the targeted metabolites. The assay has been adapted to a 96-well plate format to enable automated, high-throughput sample analysis. Results: The assay (called MEGA) is able to detect and quantify 721 metabolites in serum/plasma, covering 20 metabolite classes and many commonly used clinical biomarkers. The limits of detection were determined to range from 1.4 nM to 10 mM, recovery rates were from 80% to 120%, and quantitative precision was within 20%. LC–MS/MS metabolite concentrations of the NIST® SRM®1950 plasma standard were found to be within 15% of NMR quantified levels. The MEGA assay was further validated in a large dietary intervention study. Conclusions: The MEGA assay should make comprehensive quantitative metabolomics much more affordable, accessible, automatable, and applicable to large-scale clinical studies. Full article
(This article belongs to the Special Issue Method Development in Metabolomics and Exposomics)
Show Figures

Figure 1

Figure 1
<p>Overlaid extracted ion chromatograms (EICs) of extracted metabolites and ISTDs in human serum. (<b>A</b>) EICs of amino acids, biogenic amines, and their derivatives, as well as other positively charged metabolites. (<b>B</b>) EICs of organic acids, ketone, and keto-acids, as well as other negatively charged metabolites. (<b>C</b>) EICs of acylcarnitines, hexose, phospholipids, and sphingomyelins. (<b>D</b>) EICs of cholesteryl esters, ceramides, diglycerides, and triglycerides.</p>
Full article ">
13 pages, 4362 KiB  
Article
High-Performance Self-Powered Dual-Mode Ultraviolet Photodetector Based on (PEA)2PbI4/GaN Heterojunction
by Ang Bian, Songchao Shen, Chen Yang and Jun Dai
Nanomaterials 2024, 14(22), 1819; https://doi.org/10.3390/nano14221819 - 13 Nov 2024
Viewed by 450
Abstract
Wide-bandgap semiconductors like GaN, known for their superior photoresponse and detection capabilities in the ultraviolet range, represent a foundational component in the design of advanced photodetectors, where the integration of materials with distinct spectral sensitivities into heterojunctions is pivotal for next-generation device innovation. [...] Read more.
Wide-bandgap semiconductors like GaN, known for their superior photoresponse and detection capabilities in the ultraviolet range, represent a foundational component in the design of advanced photodetectors, where the integration of materials with distinct spectral sensitivities into heterojunctions is pivotal for next-generation device innovation. A high-performance self-powered dual-mode ultraviolet photodetector based on a (PEA)2PbI4/GaN heterojunction was fabricated via spin coating. The device exhibits outstanding UV sensitivity under both positive and negative bias, achieving a responsivity of 1.39 A/W and a detectivity of 8.71 × 1010 Jones under 365 nm UV illumination. The built-in electric field at the heterojunction interface enables self-powered operation, achieving a rapid rise time of 46.9 ms and a decay time of 55.9 ms. These findings offer valuable insights into the development and application of perovskite and wide-bandgap semiconductor heterojunctions in optoelectronic devices. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>(PEA)<sub>2</sub>PbI<sub>4</sub>/GaN heterojunction photodetector. (<b>a</b>) planar structure, (<b>b</b>) optical image, (<b>c</b>) the top-view SEM image, (<b>d</b>) cross-section SEM image.</p>
Full article ">Figure 2
<p>(<b>a</b>) XRD pattern and (<b>b</b>) absorption spectra of (PEA)<sub>2</sub>PbI<sub>4</sub>/GaN, optical band gaps of (<b>c</b>) (PEA)<sub>2</sub>PbI<sub>4</sub> and (<b>d</b>) GaN.</p>
Full article ">Figure 3
<p>(<b>a</b>) I–V curves of (PEA)<sub>2</sub>PbI<sub>4</sub>/GaN heterojunction ultraviolet photodiodes under different light intensities, (<b>b</b>) I–V curves of (PEA)<sub>2</sub>PbI<sub>4</sub> and GaN ultraviolet in the dark.</p>
Full article ">Figure 4
<p>Parameters of (PEA)<sub>2</sub>PbI<sub>4</sub>/GaN heterojunction under different voltages and light intensities: (<b>a</b>) <span class="html-italic">PDCR</span> under positive voltages; (<b>b</b>) <span class="html-italic">PDCR</span> under negative voltages; (<b>c</b>) responsivity under positive voltages and (<b>d</b>) responsivity under negative voltages.</p>
Full article ">Figure 5
<p>Transient photoresponse characteristics (I-t curves) of (PEA)<sub>2</sub>PbI<sub>4</sub>/GaN heterojunction under forward bias or reverse bias at the light intensities of (<b>a</b>,<b>c</b>) 3.5 mW/cm<sup>2</sup>, (<b>b</b>,<b>d</b>) 0.5 mW/cm<sup>2</sup>.</p>
Full article ">Figure 6
<p>Transient photoresponse characteristics (I-t curves) of (PEA)<sub>2</sub>PbI<sub>4</sub>/GaN heterojunction under different light intensities for (<b>a</b>) at 5 V bias and (<b>b</b>) at zero bias.</p>
Full article ">Figure 7
<p>(<b>a</b>) and (<b>b</b>) are the fitted response time at light intensity of 3.5 mW/cm<sup>2</sup> in ±5 V, repectively. The red lines (solid and dashed) represent the rise, while the blue lines represent the fall.</p>
Full article ">Figure 8
<p>(<b>a</b>) The fitted response time at light intensity of 3.5 mW/cm<sup>2</sup> and 0 V, the red and blue dots represent the rise and fall, respectively. (<b>b</b>) the band diagram of the heterojunction photodetector at zero bias.</p>
Full article ">
22 pages, 3196 KiB  
Article
Simulation Study of Gas Seepage in Goaf Based on Fracture–Seepage Coupling Field
by Hongsheng Wang, Huaming An and Xin Zhang
Fire 2024, 7(11), 414; https://doi.org/10.3390/fire7110414 - 13 Nov 2024
Viewed by 362
Abstract
In order to solve the problem of gas overrun in the fully mechanized caving face and the upper corner of high gas and extra-thick coal seam, the fracture and caving process of the roof in the goaf is analyzed and studied by using [...] Read more.
In order to solve the problem of gas overrun in the fully mechanized caving face and the upper corner of high gas and extra-thick coal seam, the fracture and caving process of the roof in the goaf is analyzed and studied by using the relevant theories of fracture mechanics and seepage mechanics. The mathematical model of fracture and caving of the immediate roof and main roof in the goaf is established. Combined with ANSYS Fluent 6.3.26, the seepage process of gas in coal and rock accumulation in the goaf under different ventilation modes is simulated. The distribution law of gas concentration in the goaf is obtained, and the application scope of different ventilation modes is determined. In addition, the influence of the tail roadway application and the wind speed size on the gas concentration in the goaf and the upper corner of the fully mechanized caving face is also explored. The results show that, affected by wind speed and rock porosity, along the strike of the goaf, about 30 m near the working face, the gas concentration is low and growth is slow. In the range of 30~160 m, the gas concentration increases rapidly and reaches a higher value. After 160 m, the gas concentration tends to be stable. Along with the tendency of the working face, the gas concentration in the goaf increases gradually from the inlet side to the return side, and the gas concentration increases noticeably near the return air roadway. Along the vertical direction of the goaf, the gas concentration gradually increases, and the concentration of the fracture zone basically reaches 100%. Different ventilation modes have different application scopes. The U-type ventilation mode is suitable for the scenario of less desorption gas in the coal seam, while U + I and U + L-type ventilation modes are suitable for the scenario of more desorption gas in coal seam or higher mining intensity. The application of the tail roadway can reduce the gas concentration in the upper corner to a certain extent, but it has limited influence on the overall gas concentration distribution in the goaf. In addition, when the wind speed of the working face should be controlled at 2.0~3.5 m/s, it is more conducive to the discharge of gas, the method of reducing the gas concentration in the upper corner by increasing the wind speed of the working face is more suitable for the case where the absolute gas emission of the fully mechanized caving face is low, and the effect is limited when the absolute gas emission is high. The above conclusions provide a reference for solving the problem of gas overrun in the goaf and the upper corner of a fully mechanized caving face. Full article
Show Figures

Figure 1

Figure 1
<p>Division of the three horizontal and vertical zones in goaf.</p>
Full article ">Figure 2
<p>Geometric model of working face.</p>
Full article ">Figure 3
<p>Geometric model of goaf before initial weighting under U-type ventilation mode.</p>
Full article ">Figure 4
<p>Velocity cloud map of roof before initial weighting.</p>
Full article ">Figure 5
<p>Velocity vector map of roof before initial weighting.</p>
Full article ">Figure 6
<p>Gas concentration distribution map of roof before initial weighting.</p>
Full article ">Figure 7
<p>Geometric model of goaf after initial weighting under U-type ventilation mode.</p>
Full article ">Figure 8
<p>Distribution cloud map of air leakage velocity in goaf under U-type ventilation mode.</p>
Full article ">Figure 9
<p>Gas concentration cloud map when v = 1.5 m/s under U-type ventilation mode: (<b>a</b>) Gas concentration cloud map in goaf from floor z = 3 m; (<b>b</b>) Gas concentration cloud map in goaf from floor z = 10 m; (<b>c</b>) Gas concentration cloud map in vertical direction of goaf.</p>
Full article ">Figure 10
<p>Gas concentration cloud map when v = 2.0 m/s under U-type ventilation mode: (<b>a</b>) Gas concentration cloud map in goaf from floor z = 3 m; (<b>b</b>) Gas concentration cloud map in goaf from floor z = 10 m; (<b>c</b>) Gas concentration cloud map in vertical direction of goaf.</p>
Full article ">Figure 11
<p>Gas concentration cloud map when v = 2.5 m/s under U-type ventilation mode: (<b>a</b>) Gas concentration cloud map in goaf from floor z = 3 m; (<b>b</b>) Gas concentration cloud map in goaf from floor z = 10 m; (<b>c</b>) Gas concentration cloud map in vertical direction of goaf.</p>
Full article ">Figure 12
<p>Curve of gas concentration change in upper corner under U-type ventilation mode.</p>
Full article ">Figure 13
<p>Geometric model of goaf under U + I-type ventilation mode.</p>
Full article ">Figure 14
<p>Gas concentration in different horizontal sections of goaf under U + I-type ventilation mode: (<b>a</b>) Gas concentration distribution at horizontal section z = 0 m; (<b>b</b>) Gas concentration distribution at horizontal section z = 3 m; (<b>c</b>) Gas concentration distribution at horizontal section z = 8 m.</p>
Full article ">Figure 15
<p>Gas concentration in different vertical sections of goaf under U + I-type ventilation mode: (<b>a</b>) Gas concentration distribution at vertical section z = 20 m; (<b>b</b>) Gas concentration distribution at vertical section z = 265 m.</p>
Full article ">Figure 16
<p>Geometric model of goaf under U + L-type ventilation mode.</p>
Full article ">Figure 17
<p>Gas concentration of different horizontal sections in goaf under U + L-type ventilation mode when air distribution volume is 2:1: (<b>a</b>) Gas concentration distribution at horizontal section z = 0 m; (<b>b</b>) Gas concentration distribution at horizontal section z = 3 m.</p>
Full article ">Figure 18
<p>Gas concentration of different horizontal sections in goaf under U + L-type ventilation mode when air distribution volume is 3:1: (<b>a</b>) Gas concentration distribution at horizontal section z = 0 m; (<b>b</b>) Gas concentration distribution at horizontal section z = 3 m.</p>
Full article ">Figure 19
<p>Gas concentration of different horizontal sections in goaf under U + L-type ventilation mode when air distribution volume is 4:1: (<b>a</b>) Gas concentration distribution at horizontal section z = 0 m; (<b>b</b>) Gas concentration distribution at horizontal section z = 3 m.</p>
Full article ">Figure 20
<p>The curve of gas concentration at 0.5 m away from the working face under U-type ventilation mode.</p>
Full article ">Figure 21
<p>The curve of gas concentration at 0.5 m away from the working face under U + I-type ventilation mode.</p>
Full article ">Figure 22
<p>The curve of gas concentration at 0.5 m away from the working face under U + L-type ventilation mode.</p>
Full article ">Figure 23
<p>Gas concentration curve of goaf cross-section under U + L-type ventilation mode.</p>
Full article ">
Back to TopTop