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17 pages, 1912 KiB  
Article
Between-Session Reliability of Field-Based Assessments of Isometric Neck Strength
by Samuel W. Oxford, Neil D. Clarke and Jason Tallis
Sensors 2024, 24(15), 5015; https://doi.org/10.3390/s24155015 - 2 Aug 2024
Viewed by 370
Abstract
The reliability of the fixed-frame dynamometer for measuring isometric neck strength is established, but with limited field-based applications. This study aimed to establish the inter- and intra-session reliability of the peak force for neck flexors, extensors, and side flexors using the VALD ForceFrame [...] Read more.
The reliability of the fixed-frame dynamometer for measuring isometric neck strength is established, but with limited field-based applications. This study aimed to establish the inter- and intra-session reliability of the peak force for neck flexors, extensors, and side flexors using the VALD ForceFrame and DynaMo and the force–time characteristics in the quadruped position (ForceFrame). Twenty-seven recreationally active males performed three repetitions of isometric neck flexion, extension, and side flexion over two sessions in random order using the VALD ForceFrame and DynaMo. Both devices demonstrated acceptable reliability, with the Forceframe ICC > 0.8 and CV% < 13.8% and the DynaMo ICC > 0.76 and CV% < 13.8%. No systematic or proportional differences were found using the Passing–Bablock procedure, and Bland–Altman analysis confirmed agreement across measures. Reliability was shown for right-side (ICC > 0.76) and left-side (ICC > 0.79) flexion and flexion (ICC > 0.75) across 50, 100, 150, and 200 ms. Statistical parametric mapping indicated no differences in ForceFrame-generated isometric force–time curves between sessions, though the CV was highest in the force development phase. The findings suggest that both tools can reliably assess neck strength, supporting their use in sports and clinical settings. However, assessment methods are not interchangeable, emphasising the need for standardised neck strength assessment approaches. Full article
(This article belongs to the Collection Sensors for Gait, Human Movement Analysis, and Health Monitoring)
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Figure 1
<p>Test position adopted for (<b>A</b>) = flexion, (<b>B</b>) = extension, and (<b>C</b>) = side flexion for the VALD DynaMo and (<b>D</b>) = extension, (<b>E</b>) = side flexion, and (<b>F</b>) = flexion for the VALD ForceFrame for the assessment of isometric neck strength.</p>
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<p>(<b>A</b>) Bland–Altman plots comparing the mean isometric neck strength between the VALD DynaMo and the VALD ForceFrame for left-side flexion, right-side flexion, and extension. The upper and lower lines represent the 95% limits of agreement between the two methods (mean ± 1.96 standard deviation). (<b>B</b>) Flexion, extension, and left- and right-side flexion scatterplots with regression confidence intervals between VALD ForceFrame and VALD DynaMo.</p>
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<p>Comparison of between (<b>I</b>) and within-session (<b>II</b>) isometric neck strength force–time curves [left-hand panel = mean force (N) ± 95% CI; middle panel = results of SPM <span class="html-italic">t</span>-test; right-hand panel = mean CV (%) ± 95% CI; Ext = extension; Flex = flexion; LSF = left-side flexion; RSF = right-side flexion. N = 14 for Ext, Flex, and RSF; N = 13 for LSF].</p>
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12 pages, 3432 KiB  
Article
Shear-Wave Elastography Gradient Analysis of Newly Diagnosed Breast Tumours: A Critical Analysis
by Johannes Deeg, Michael Swoboda, Daniel Egle, Verena Wieser, Afschin Soleiman, Valentin Ladenhauf, Malik Galijasevic, Birgit Amort and Leonhard Gruber
Diagnostics 2024, 14(15), 1657; https://doi.org/10.3390/diagnostics14151657 - 31 Jul 2024
Viewed by 308
Abstract
Background: A better understanding of the peritumoral stroma changes due to tumour invasion using non-invasive diagnostic methods may improve the differentiation between benign and malignant breast lesions. This study aimed to assess the correlation between breast lesion differentiation and intra- and peritumoral shear-wave [...] Read more.
Background: A better understanding of the peritumoral stroma changes due to tumour invasion using non-invasive diagnostic methods may improve the differentiation between benign and malignant breast lesions. This study aimed to assess the correlation between breast lesion differentiation and intra- and peritumoral shear-wave elastography (SWE) gradients. Methods: A total of 135 patients with newly diagnosed breast lesions were included. Intratumoral, subsurface, and three consecutive peritumoral SWE value measurements (with three repetitions) were performed. Intratumoral, interface, and peritumoral gradients (Gradient 1 and Gradient 2) were calculated using averaged SWE values. Statistical analysis included descriptive statistics and an ordinary one-way ANOVA to compare overall and individual gradients among Breast Imaging-Reporting and Data System (BI-RADS) 2, 3, and 5 groups. Results: Malignant tumours showed higher average SWE velocity values at the tumour centre (BI-RADS 2/3: 4.1 ± 1.8 m/s vs. BI-RADS 5: 4.9 ± 2.0 m/s, p = 0.04) and the first peritumoral area (BI-RADS 2/3: 3.4 ± 1.8 m/s vs. BI-RADS 5: 4.3 ± 1.8 m/s, p = 0.003). No significant difference was found between intratumoral gradients (0.03 ± 0.32 m/s vs. 0.0 ± 0.28 m/s; p > 0.999) or gradients across the tumour–tissue interface (−0.17 ± 0.18 m/s vs. −0.13 ± 0.35 m/s; p = 0.202). However, the first peritumoral gradient (−0.16 ± 0.24 m/s vs. −0.35 ± 0.31 m/s; p < 0.0001) and the second peritumoral gradient (−0.11 ± 0.18 m/s vs. −0.22 ± 0.28 m/s; p = 0.037) were significantly steeper in malignant tumours. The AUC was best for PTG1 (0.7358) and PTG2 (0.7039). A threshold value for peritumoral SWI PT1 above 3.76 m/s and for PTG1 below −0.238 m/s·mm−1 indicated malignancy in 90.6% of cases. Conclusions: Evaluating the peritumoral SWE gradient may improve the diagnostic pre-test probability, as malignant tumours showed a significantly steeper curve of the elasticity values in the peritumoral stroma compared to the linear regression with a relatively flat curve of benign lesions. Full article
(This article belongs to the Section Medical Imaging and Theranostics)
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<p>Overview of participant screening, exclusion, and inclusion.</p>
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<p>Illustration of intra- and peritumoral shear-wave elastography (SWE) region-of-interest (ROI) placement (ITC: tumour centre, ITS: tumour surface, PT1: peritumoral 1, PT2: peritumoral 2, PT3: peritumoral 3, <span class="html-italic">ITG<sub>SWE</sub></span>: intratumoral gradient, <span class="html-italic">ING<sub>SWE</sub></span>: interface gradient, <span class="html-italic">PTG1<sub>SWE</sub></span>: peritumoral gradient 1, <span class="html-italic">PTG2<sub>SWE</sub></span>: peritumoral gradient 2).</p>
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<p>Ultrasound image of intra- (<b>a</b>) and peritumoral (<b>b</b>) shear-wave elastography (SWE) region-of-interest (ROI) placement.</p>
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<p>Distribution of histological tumour subtypes.</p>
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<p>Comparison of shear-wave elastography velocities measured across the tumour centre, subsurface region, and peritumoral regions 1–3 for B2/3 (<span class="html-italic">n</span> = 38) and B5 (<span class="html-italic">n</span> = 97) lesions.</p>
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<p>Comparison of intratumoral (<b>a</b>) and peritumoral SWE gradients (<b>b</b>) between BI-RADS 2/3 (<span class="html-italic">n</span> = 38) and BI-RADS 5 (<span class="html-italic">n</span> = 97) breast tumours.</p>
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<p>Comparison of intratumoral (<b>a</b>) and peritumoral SWE gradient slopes (<b>b</b>) between BI-RADS 2/3 (<span class="html-italic">n</span> = 38), DCIS (<span class="html-italic">n</span> = 15) and invasive BI-RADS 5 (<span class="html-italic">n</span> = 82) breast tumours.</p>
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<p>Receiver operating characteristics curve for (<b>a</b>–<b>c</b>) average shear-wave elastography measurements and (<b>d</b>–<b>f</b>) shear-wave elastography gradients.</p>
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11 pages, 2128 KiB  
Article
Massage It Out: Physiological Responses to a Percussive Therapy Device Used Intra-Resistance Exercise
by Daniel R. Greene, Jonathan J. Ruiz-Ramie and Andrew Craig-Jones
Muscles 2024, 3(2), 166-176; https://doi.org/10.3390/muscles3020015 - 19 Jun 2024
Viewed by 354
Abstract
Percussive therapy devices have been proven effective at reducing muscle inflammation, soreness, and tension and improving the range of motion before or after exercise. However, there is a notable lack of research on percussive therapy intra-exercise. Purpose: Examine the physiological responses (i.e., sets/reps) [...] Read more.
Percussive therapy devices have been proven effective at reducing muscle inflammation, soreness, and tension and improving the range of motion before or after exercise. However, there is a notable lack of research on percussive therapy intra-exercise. Purpose: Examine the physiological responses (i.e., sets/reps) to percussive therapy during single-arm biceps curls (BCs) and single-leg quadriceps extensions (LEs). Methods: Participants [N = 26, 10 females] completed an initial 10-repetition maximum (10 RM) for BCs and LEs. Following that, participants completed two testing sessions in which BCs and LEs were completed at their 10 RM until functional failure (i.e., <7 reps completed). Participants completed two testing sessions in which all body parts received percussive therapy at 25 Hz for 60 s between sets and no percussive therapy. Results: Participants completed more sets [p = 0.002; Cohen’s d = 0.54] and reps [p = 0.005; Cohen’s d = 0.51] during the control condition relative to the percussive therapy condition. There were no differences between body parts (i.e., BC vs. LE) or interaction effects. Conclusion: This study provides evidence that low-frequency long-duration percussive therapy used intra-resistance exercise decreases performance parameters. Full article
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<p>Flow diagram of participant recruitment and randomization.</p>
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<p>Picture of (<b>a</b>) single-arm biceps curls and (<b>b</b>) single-leg quadriceps extensions.</p>
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<p>Vigorous Innovations percussive therapy device used in the present study. The device comes with three attachments: (1). Large Ball: for large core muscles; (2). Medium Ball: for small core muscles; (3). Cone: for deep tissue. The present study used the depicted “Medium Ball” for all conditions.</p>
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<p>Number of sets completed, which can be compared for Condition and Exercise effects.</p>
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<p>Number of repetitions completed, which can be compared for Condition and Exercise effects.</p>
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11 pages, 3169 KiB  
Article
Effects of a Low Dose of Orally Administered Creatine Monohydrate on Post-Fatigue Muscle Power in Young Soccer Players
by Álvaro Huerta Ojeda, Emilio Jofré-Saldía, Maximiliano Torres-Banduc, Sergio Galdames Maliqueo, Guillermo Barahona-Fuentes, Carlos Cofré Acevedo, Gabriela Lizana Romero, Regina de Villa Garduño, Gerardo Riquelme Vera, Pablo Vera Paredes, Benjamín Barrios Ávalos, Tatiane Morales Serey, María-Mercedes Yeomans-Cabrera and Carlos Jorquera-Aguilera
Nutrients 2024, 16(9), 1324; https://doi.org/10.3390/nu16091324 - 28 Apr 2024
Cited by 1 | Viewed by 1681
Abstract
The use of creatine monohydrate (Cr) in professional soccer is widely documented. However, the effect of low doses of Cr on the physical performance of young soccer players is unknown. This study determined the effect of a low dose of orally administered Cr [...] Read more.
The use of creatine monohydrate (Cr) in professional soccer is widely documented. However, the effect of low doses of Cr on the physical performance of young soccer players is unknown. This study determined the effect of a low dose of orally administered Cr on muscle power after acute intra-session fatigue in young soccer players. Twenty-eight young soccer players (mean age = 17.1 ± 0.9 years) were randomly assigned to either a Cr (n = 14, 0.3 g·kg−1·day−1 for 14 days) or placebo group (n = 14), using a two-group matched, double-blind, placebo-controlled design. Before and after supplementation, participants performed 21 repetitions of 30 m (fatigue induction), and then, to measure muscle power, they performed four repetitions in half back squat (HBS) at 65% of 1RM. Statistical analysis included a two-factor ANOVA (p ˂ 0.05). Bar velocity at HBS, time: p = 0.0006, ŋp2 = 0.22; group: p = 0.0431, ŋp2 = 0.12, time × group p = 0.0744, ŋp2 = 0.02. Power at HBS, time: p = 0.0006, ŋp2 = 0.12; group: p = 0.16, ŋp2 = 0.06, time × group: p = 0.17, ŋp2 = 0.009. At the end of the study, it was found that, after the induction of acute intra-session fatigue, a low dose of Cr administered orally increases muscle power in young soccer players. Full article
(This article belongs to the Section Sports Nutrition)
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<p>Research design.</p>
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<p>Outcomes in half back squat before and after creatine supplementation. (<b>A</b>) bar velocity in half back squat; (<b>B</b>) power in half back squat; (<b>C</b>) force in half back squat; (<b>D</b>) rate of force development in half back squat; CG: control group; EG: experimental group; m-s<sup>−1</sup>: meters per seconds; N; newton; N/s: newton per seconds; RFD: rate of force development; W: watts; ns: <span class="html-italic">p</span> &gt; 0.05; *: <span class="html-italic">p</span> &lt; 0.05; **: <span class="html-italic">p</span> &lt; 0.01; ***: <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Outcomes in half back squat before and after creatine supplementation. (<b>A</b>) bar velocity in half back squat; (<b>B</b>) power in half back squat; (<b>C</b>) force in half back squat; (<b>D</b>) rate of force development in half back squat; CG: control group; EG: experimental group; m-s<sup>−1</sup>: meters per seconds; N; newton; N/s: newton per seconds; RFD: rate of force development; W: watts; ns: <span class="html-italic">p</span> &gt; 0.05; *: <span class="html-italic">p</span> &lt; 0.05; **: <span class="html-italic">p</span> &lt; 0.01; ***: <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Outcomes in RSA test before and after creatine supplementation.</p>
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10 pages, 500 KiB  
Article
Validity and Reliability of the Lower Extremity Motor Coordination Test (LEMOCOT) in Patients with Multiple Sclerosis
by Dimitra Zarbouti, Margialena Manola, Anna Christakou, George A. Koumantakis, Triantafyllos K. Doskas and Vasiliki Sakellari
Appl. Sci. 2024, 14(8), 3233; https://doi.org/10.3390/app14083233 - 11 Apr 2024
Viewed by 664
Abstract
The validity and reliability of the Lower Extremity Motor Coordination Test (LEMOCOT) were assessed in patients with multiple sclerosis (MS). The study involved 60 participants diagnosed with MS (mean age: 48.13 years, range: 24–80 years). Intra-rater reliability was assessed within-day (n = [...] Read more.
The validity and reliability of the Lower Extremity Motor Coordination Test (LEMOCOT) were assessed in patients with multiple sclerosis (MS). The study involved 60 participants diagnosed with MS (mean age: 48.13 years, range: 24–80 years). Intra-rater reliability was assessed within-day (n = 12), and inter-rater reliability was assessed within-day (n = 45) and between-days (n = 22). For known-groups validity, test scores were compared between participants of different sexes; for convergent validity, test scores were correlated with age, the Five-Repetition Sit-to-Stand test (FSTS), the Berg Balance Scale (BBS), the Lower Extremity Functional Scale (LEFS), and the Expanded Disability Status Scale (EDSS). To test the discriminant validity, the LEMOCOT test scores were correlated with the Mini-Mental State Evaluation (MMSE) and compared according to social history (living alone or not). The LEMOCOT test was tested under three different conditions and found to be very reliable (intraclass correlation coefficient, ICC2,1 > 0.94) with an acceptable error level (standard error of the measurement, SEM, between 1.39 and 3.47 targets and 95% minimum detectable change; MDC95%, between 3.84 and 9.58 targets). Convergent validity was verified, as the LEMOCOT registered very strong correlations with the FSTS test (r = −0.851) and the BBS scale (r = 0.815), a strong correlation with the LEFS scale (r = 0.78), a moderate correlation with the EDSS scale (r = −0.634), all highly significant (p < 0.001), and a weak correlation with age (r = −0.332, p < 0.01). Discriminant validity was also confirmed, as the LEMOCOT demonstrated a weak correlation with the MMSE scale (r = 0.365, p = 0.017) and no differences relative to living environment or sex. The LEMOCOT demonstrated excellent reliability and validity for patients with MS. Full article
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<p>Setup for conducting the LEMOCOT.</p>
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13 pages, 1633 KiB  
Article
Genetic Diversification and Resistome of Coagulase-Negative Staphylococci from Nostrils of Healthy Dogs and Dog-Owners in La Rioja, Spain
by Idris Nasir Abdullahi, Carmen Lozano, Carmen González-Azcona, Myriam Zarazaga and Carmen Torres
Pathogens 2024, 13(3), 229; https://doi.org/10.3390/pathogens13030229 - 5 Mar 2024
Viewed by 1394
Abstract
Coagulase-negative staphylococci (CoNS) species in healthy dogs and their owners could be transferred between these hosts and carry diverse antimicrobial resistance (AMR) genes of public health concern. This study determined the frequency, diversity, and AMR genes of nasal CoNS from healthy dogs and [...] Read more.
Coagulase-negative staphylococci (CoNS) species in healthy dogs and their owners could be transferred between these hosts and carry diverse antimicrobial resistance (AMR) genes of public health concern. This study determined the frequency, diversity, and AMR genes of nasal CoNS from healthy dogs and in-contact people as well as the rate of intra-household (between healthy dogs and dog-owners) transmission of CoNS. Nasal samples were collected and processed from 34 dogs and 41 humans from 27 households, and CoNS identification was done by MALDI-TOF-MS. The AMR determinants and genetic lineages were determined by PCR/sequencing. A total of 216 CoNS isolates were initially obtained and identified, and the AMR phenotypes were determined. From these, 130 non-repetitive CoNS were selected (one isolate of each species per sample or more than one if they presented different AMR phenotypes) and further characterized. The predominant species from dog carriers were S. epidermidis (26.5%), S. hominis (8.8%), and S. cohnii (8.8%), whereas in the human carriers, the predominant ones were S. epidermidis (80.4%), S. lugdunensis (9.8%), and S. hominis (9.8%). Intra-host species diversity (>one CoNS species) was detected in 37.5% of dogs and 21.6% of dog-owners. Conversely, 50% of dogs and 70.3% of dog-owners had intra-species AMR diversity (2–4 AMR-CoNS profiles). About 20% were susceptible to all antimicrobial agents tested, 31.5% displayed a multidrug resistance phenotype, and 17.4% were mecA-positive, located in SCCmec type V (24.2%), III (18.1%), IVc (12.1%), and II (6.1%). The other mec-A positive CoNS isolates (39.5%) had non-typeable SCCmec. The highest AMR rates were found against erythromycin (32.3%/mph(C), msr(A)) and mupirocin (20.8%/mupA), but the resistance rates for other antimicrobial agents were <10% each. Remarkably, one linezolid-resistant S. epidermidis-ST35 isolate was identified and mediated by four amino acid substitutions in L3 and one in L4 ribosomal proteins. Dogs and dog-owners as carriers of S. epidermidis with similar AMR patterns and genetic lineages (ST59, ST61, ST166 and ST278) were detected in four households (14.8%). Diverse CoNS carriage and moderate level of AMR were obtained from this study. The detection of CoNS carrying diverse SCCmec elements and intra-species AMR diversity highlights the roles of dog ownership in the potential transmission of antimicrobial-resistant CoNS in either direction. Full article
(This article belongs to the Section Bacterial Pathogens)
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<p>Frequency of antimicrobial resistance among non-repetitive coagulase-negative staphylococci isolates from nasal cavities of healthy dogs and dog-owners. CHL: chloramphenicol; CLI: clindamycin; CIP: ciprofloxacin; ERY: erythromycin; FOX: cefoxitin; GEN: gentamicin; LZD: linezolid; MUP: mupirocin; MDR: multi-drug resistance phenotype; PEN: penicillin; SXT: sulfamethoxazole/trimethoprim; TET: tetracycline, TOB: tobramycin.</p>
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<p>Frequency of the SCC<span class="html-italic">mec</span> mobile elements identified among the 33 non-repetitive methicillin-resistant coagulase-negative staphylococci isolates in healthy dogs and dog-owners.</p>
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<p>Frequency of intra-host species and intra-species AMR diversity among non-repetitive coagulase-negative staphylococci from healthy dogs and dog-owners. Note: The number of hosts with nasal carriage of more than one CoNS species were 16 dogs and 37 dog-owners.</p>
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25 pages, 12181 KiB  
Article
Two Repetitions May Be Enough! Reliability of Movement Timing in Physical Fitness Exercises Performed by Young, Trained Adults Using Inertial Sensors
by Analina Emmanouil, Elissavet Rousanoglou and Konstantinos Boudolos
Biomechanics 2024, 4(1), 84-108; https://doi.org/10.3390/biomechanics4010006 - 19 Feb 2024
Viewed by 833
Abstract
This study aimed to determine the minimum number of repetitions for a high reliability of movement timing in fundamental physical fitness exercises using inertial sensors. Fifteen young men and fifteen women performed eight exercises (two-leg hop, forward lunge, squat, sit-up, shoulder abduction, hip [...] Read more.
This study aimed to determine the minimum number of repetitions for a high reliability of movement timing in fundamental physical fitness exercises using inertial sensors. Fifteen young men and fifteen women performed eight exercises (two-leg hop, forward lunge, squat, sit-up, shoulder abduction, hip abduction, back extension, and push-up) (preferred tempo, 3 trials, 20 repetitions per trial). The movement timing (cycle of movement in seconds and its phases in seconds and %tcycle) was tested for intra- and inter-trial reliability (SPSS 28.0, p ≤ 0.05). Just two repetitions were adequate for excellent intra- and inter-trial relative reliability (ICCs ≥ 0.75, isolated exceptions only for durations expressed as %tcycle, in only three out of the eight exercises: hip abduction, back extension, and push-up), as well as for high absolute intra- and inter-trial reliability (average SEM% at 5.9%, respectively, and 6.8% and average MDC95% at 13.7% and 15.9%, respectively, which was consistently higher than the upper boundary limit of SEM%, and a rather low CV% ranging from 1.5% to 4.9% and averaging at 3.1%). A total of four repetitions, excluding the initial and the final one, appears adequate for high overall reliability of movement timing in the eight physical fitness exercises examined. Full article
(This article belongs to the Section Gait and Posture Biomechanics)
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<p>Exemplary filtered angular velocity trajectories (middle) in each movement pattern (left, the sensor position on the body is noted). Schematic definition of the cycle duration (right) as the time taken between 2 consecutive zero−crossing points (circle markers), indicating the same directional change. For the two−leg hop only, the cycle duration was defined between two consecutive dips (triangle markers) while phase1 (flight) and phase2 (contact) were defined between dip to peak and peak to dip, respectively.</p>
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<p>Graphical representation of intraclass correlation coefficient (ICC) for movement durations expressed in seconds (tcycle, tphase1, tphase2) in all accumulated repetitions, for intra-trial reliability (each trial separately: T1, T2, T3) and inter-trial reliability (averages of 2 and 3 trials: T1–T2 and T1–T2–T3, respectively). The error bars indicate the lower and upper bound of the 95% confidence intervals (95% CI).</p>
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<p>Graphical representation of standard error of measurement (SEM%) for movement durations expressed in seconds (tcycle, tphase1, tphase2), in all accumulated repetitions, for intra-trial reliability (each trial separately: T1, T2, T3) and inter-trial reliability (averages of 2 and 3 trials: T1–T2 and T1–T2–T3, respectively). The error bars indicate the lower and upper bound of the 95% confidence intervals (95% CI).</p>
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<p>Graphical representation of minimal detectable change (MDC95%) for movement durations expressed in seconds (tcycle, tphase1, tphase2) in all accumulated repetitions, for intra-trial reliability (each trial separately: T1, T2, T3) and inter-trial reliability (averages of 2 and 3 trials: T1–T2 and T1–T2–T3, respectively).</p>
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<p>Mean (SD) intra-trial (top, across the 3 single trials) and inter-trial (bottom, across T1–T2 and T1–T2–T3) MDC95% units above the SEM% upper boundary limit, for the temporal measures expressed in seconds (tcycle, tphase1, tphase2) and the temporal measures expressed as %tcycle (%tphase1, %tphase2). The MDC95% units above the SEM% upper boundary limit give a magnitude of how much the MDC95% exceeds the upper boundary limit of the SEM%, i.e., how much the observed changes go beyond what would be expected due to random measurement error alone.</p>
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<p>Graphical representation of coefficient of variability (CV%) for movement durations expressed in seconds (tcycle, tphase1, tphase2) in all accumulated repetitions for intra-trial reliability (each trial separately: T1, T2, T3) and inter-trial reliability (averages of 2 and 3 trials: T1–T2 and T1–T2–T3, respectively). The error bars indicate the lower and upper bound of the 95% confidence intervals (95% CI).</p>
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<p>List of proper execution key points observed by the experienced examiner who ensured that participants fulfilled the inclusion criteria for the study and monitored proper technique during data collection trials.</p>
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<p>The body position where each one of the 6 inertial sensors used in the study was placed, as well as the exercise that is associated with each sensor (the plane of motion of each exercise is noted). The Xsens inertial sensor and its fixed coordinate system (x, y, and z axes) are also shown.</p>
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<p>Frequency spectrum of the raw (left) and the filtered (right) angular velocity signal of each one of the participants (each colored line indicates one participant) in a single trial (1st trial), in the eight physical fitness exercises. The frequency spectrum of the raw signal clearly indicates the intensity of the signal below 2 Hz, the latter defined as cut-off frequency for the applied 4th-order Butterworth low-pass filter (MATLAB R2022b, MathWorks, Inc., Natick, MA, USA).</p>
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<p>Graphical representation of intraclass correlation coefficient (ICC) for the phases of movement expressed as %tcycle (%tphase1 and %tphase2) in all accumulated repetitions for intra-trial reliability (each trial separately: T1, T2, T3) and inter-trial reliability (averages of 2 and 3 trials: T1–T2, T1–T2–T3, respectively). The error bars indicate the lower and upper bound of the 95% confidence intervals (95% CI).</p>
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<p>Graphical representation of standard error of measurement (SEM%) for the phases of movement expressed as %tcycle (%tphase1%tphase2) in all accumulated repetitions for intra-trial reliability (each trial separately: T1, T2, T3) and inter-trial (averages of 2 and 3 trials: T1–T2, T1–T2–T3, respectively).</p>
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<p>Graphical representation of the minimal detectable change (MDC95%) for the phases of movement expressed as %tcycle (%tphase1%tphase2) in all accumulated repetitions for intra-trial reliability (each trial separately: T1, T2, T3) and inter-trial reliability (averages of 2 and 3 trials: T1–T2, T1–T2–T3, respectively).</p>
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<p>Graphical representation of the coefficient of variability (CV%) for the phases of movement expressed as %tcycle (%tphase1%tphase2) in all accumulated repetitions for intra-trial reliability (each trial separately: T1, T2, T3) and inter-trial reliability (averages of 2 and 3 trials: T1–T2, T1–T2–T3, respectively).</p>
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12 pages, 882 KiB  
Article
Comparison of 10% vs. 30% Velocity Loss during Squat Training with Low Loads on Strength and Sport-Specific Performance in Young Soccer Players
by Andrés Rojas-Jaramillo, Gustavo León-Sánchez, África Calvo-Lluch, Juan José González-Badillo and David Rodríguez-Rosell
Sports 2024, 12(2), 43; https://doi.org/10.3390/sports12020043 - 30 Jan 2024
Viewed by 2452
Abstract
The aim of this study was to compare the effects of two velocity-based resistance training (RT) programs using moderate loads (45–60% 1RM) but different magnitudes of velocity loss (VL) limits (10% vs. 30%) on the changes in physical performance in young soccer players. [...] Read more.
The aim of this study was to compare the effects of two velocity-based resistance training (RT) programs using moderate loads (45–60% 1RM) but different magnitudes of velocity loss (VL) limits (10% vs. 30%) on the changes in physical performance in young soccer players. Twenty young soccer players were randomly allocated into two groups: VL10% (n = 10) and VL30% (n = 10). All participants were assessed before and after the 8-week RT program (twice a week) involving the following tests: 20 m running sprint (T20), countermovement jump (CMJ), kicking a ball (KB), and progressive loading test in the full squat (SQ) exercise. The RT program was conducted using only the SQ exercise and movement velocity was monitored in all repetitions. Significant ‘time × group’ interaction (p < 0.05) was observed for sprint performance, KB and 1RM in the SQ exercise in favor of VL10%. No significant changes between groups at post-test were observed. The VL10% resulted in significant (p < 0.05–0.001) intra-group changes in all variables analyzed, except for KB, whereas VL30% only showed significant (p < 0.05) performance increments in a sprint test and 1RM in the SQ exercise. The percentage of change and the intra-group’s effect size were of greater magnitude for VL10% in all variables analyzed compared to VL30%. In conclusion, our results suggest that, for non-trained young soccer players, squat training with low to moderate relative loads and 10%VL is sufficient to elicit significant increases in muscle strength and sport-specific actions compared to 30%VL in the set. Full article
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<p>Number of repetitions performed in each velocity range and total number of repetitions completed by both experimental groups. Data are mean ± SD. Statistically significant differences between groups: ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001. VL10%: Group with 10% velocity loss (n = 10), VL30%: Group with 30% velocity loss (n = 10). Warm-up repetitions are excluded.</p>
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<p>Load–velocity curves in the full-squat exercise for VL10% (<b>A</b>) and VL30% (<b>B</b>) before and after an 8-week training period. Data are mean ± SD. Statistically significant differences within group: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. Note: only the loads that were executed by all the participants in both tests were analyzed.</p>
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19 pages, 5970 KiB  
Article
Origin of Redbeds in the Neoproterozoic Socheong Formation and Their Relation to the Dashigou Large Igneous Province
by Hawon Yun, Seung Hwan Lee and Inah Seo
Minerals 2024, 14(1), 59; https://doi.org/10.3390/min14010059 - 2 Jan 2024
Viewed by 1072
Abstract
During the latest Mesoproterozoic–Early Neoproterozoic era, extensional regimes generated a number of sedimentary basins in various regions in the Sino-Korean Craton. Mantle-plume emplacements are widely recognized in the sedimentary strata as mafic dikes and sills of the Dashigou Large Igneous Province (LIP). The [...] Read more.
During the latest Mesoproterozoic–Early Neoproterozoic era, extensional regimes generated a number of sedimentary basins in various regions in the Sino-Korean Craton. Mantle-plume emplacements are widely recognized in the sedimentary strata as mafic dikes and sills of the Dashigou Large Igneous Province (LIP). The occurrence of Fe-rich redbeds is first reported in the Neoproterozoic Socheong Formation of the Sangwon Supergroup in the Pyeongnam Basin. Their geochemical and mineralogical characteristics indicate basin-wide Fe enrichment due to hydrothermal fluid input. The episodic yet repetitive hydrothermal injection into the basin generated short-lived anoxia, recorded as greenish-gray coloration in the ferruginous beds. This hydrothermal fluid was likely sourced from the mafic igneous activities involved in the Dashigou LIP. The redbeds can be utilized as key beds for intra- or inter-basinal stratigraphic correlation and to study the negative carbon isotope excursions that occurred in the genetically related basins in the region (e.g., the Sangwon, Xu-Huai, and Dalian basins). Full article
(This article belongs to the Special Issue Large Igneous Provinces: Research Frontiers)
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<p>(<b>A</b>) Simplified tectonic map of Sino-Korean Craton, portraying three representative sedimentary basins, namely, the Pyeongnam (Pyongnam), Dalian, and Xu-Huai basins, during the latest Mesoproterozoic–Early Neoproterozoic period (modified after [<a href="#B4-minerals-14-00059" class="html-bibr">4</a>,<a href="#B6-minerals-14-00059" class="html-bibr">6</a>,<a href="#B12-minerals-14-00059" class="html-bibr">12</a>,<a href="#B18-minerals-14-00059" class="html-bibr">18</a>]); also shown are 940-890 Ma Dashigou dike swarms and their focal point (star) to mark the plume center [<a href="#B12-minerals-14-00059" class="html-bibr">12</a>]. (<b>B</b>) Simplified geologic map of the Baengnyeong, Daecheong, and Socheong islands (modified after [<a href="#B19-minerals-14-00059" class="html-bibr">19</a>]). (<b>C</b>) Geologic map of Socheong Island, presenting the locations of the redbeds and the sampling sites. The locations of representative sections are indicated as solid lines.</p>
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<p>(<b>A</b>) Schematic illustration of the columnar section of Socheong Formation and positions of samples collected. (<b>B</b>,<b>C</b>) LA-MC-ICP-MS U-Pb isotopic analyses results for samples of Socheong Formation (data from [<a href="#B10-minerals-14-00059" class="html-bibr">10</a>]).</p>
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<p>Outcrop photographs of the representative lithologies of the lower unit of Yedong Member, Socheong Formation. (<b>A</b>) Fine-grained gray sandstone intercalated with thin dark gray mudstone; (<b>B</b>) dark gray shale; (<b>C</b>) light gray marly shale; and (<b>D</b>) intercalated sandstone–mudstone exhibiting remarkable lateral continuity.</p>
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<p>Outcrop photographs of middle unit of Yedong Member, Socheong Formation: (<b>A</b>) interbedded mudstone–siltstone with parallel/horizontal bedding and (<b>B</b>) thick dark gray shale exhibiting parallel bedding.</p>
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<p>Outcrop photographs of upper unit of Yedong Member, Socheong Formation: (<b>A</b>) Shales with tabular or lenticular limestone; (<b>B</b>) interbedded mudstone and siltstone with wavy beddings; (<b>C</b>) thick sandstone; (<b>D</b>,<b>E</b>) Mudcracks; and (<b>F</b>) wave-ripple marks on the mudstone bedding planes.</p>
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<p>Outcrop photographs of Bunbawi Member of Socheong Formation: (<b>A</b>) lenticular limestone interbedded with purple shale (photo courtesy: Jeong-Hyun Lee) and (<b>B</b>) thick strata of stromatolitic limestone.</p>
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<p>Photographs of the outcrops of redbeds and associated lithologies of Yedong Member, Socheong Formation. (<b>A</b>,<b>B</b>) Siltstone–mudstone couplets in (<b>A</b>) purple and (<b>B</b>) greenish-gray shales; (<b>C</b>) siltstone–shale bed exhibiting gradual upward color change, from greenish-gray to purple, separated from the underlying purple shale by a sharp boundary; (<b>D</b>) hydrothermal veins in greenish-gray silty shale; (<b>E</b>) iron concretions in greenish-gray mudstone; (<b>F</b>) thickly developed purple shale beds below the upper boundary of Yedong Member.</p>
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<p>Major elemental compositions of the samples normalized to that of the upper continental crust of Socheong Formation (<b>A</b>: lower unit; <b>B</b>: upper unit). The symbols in panel B are color-coded to correspond with the bed colors; e.g., red represents red or purple beds, and green represents greenish-gray or dark greenish-gray beds.</p>
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<p>Rare earth element (REE) composition normalized to the post-Archean Australian Shale for (<b>A</b>) lower unit and (<b>B</b>) upper unit of Yedong Member, Socheong Formation.</p>
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<p>X-ray diffraction (XRD) results of the representative samples of Socheong Formation: (<b>A</b>) Gray mudstone sample (Sch-12) of lower unit; (<b>B</b>–<b>E</b>) representative samples of Fe-rich upper unit for (<b>B</b>) 23SCD-03A, (<b>C</b>) SOD-26, (<b>D</b>) 23SCD-04B, and (<b>E</b>) 23SCD-04A. Q = quartz, Mi/Ab = microcline/albite, Chl = chlorite, Mus = muscovite and illite, Hm = hematite, Ctd = chloritoid, and Pp = pyrophyllite.</p>
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<p>Photographs of thin sections of Fe-enriched upper unit samples: (<b>A</b>) dark greenish-gray silty shale (23SCD-03A, PPL); (<b>B</b>) purple shale (SOD-26); and (<b>C</b>,<b>D</b>) greenish-gray silty shale (23SCD-04A), after magnification. Q = quartz, Chl = chlorite, Hm = hematite and Ctd = chloritoid.</p>
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<p>Cross-plots of (<b>A</b>) Fe<sub>2</sub>O<sub>3(T)</sub> versus Al<sub>2</sub>O<sub>3</sub> and (<b>B</b>) Eu/Eu* versus Fe<sub>2</sub>O<sub>3</sub> of upper and lower units of Yedong Member, Socheong Formation.</p>
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13 pages, 1207 KiB  
Article
Flywheel Romanian Deadlift: Intra- and Inter-Day Kinetic and Kinematic Reliability of Four Inertial Loads Using Cluster Sets
by Shane Ryan, Rodrigo Ramirez-Campillo, Declan Browne, Jeremy Moody and Paul J. Byrne
J. Funct. Morphol. Kinesiol. 2024, 9(1), 1; https://doi.org/10.3390/jfmk9010001 - 19 Dec 2023
Viewed by 1850
Abstract
The primary aim of this study was to investigate the intra- and inter-day reliability of flywheel cluster set training in concentric power (CON), eccentric power (ECC), and ECC overload during the Romanian deadlift exercise (RDL). A secondary aim was to assess the acute [...] Read more.
The primary aim of this study was to investigate the intra- and inter-day reliability of flywheel cluster set training in concentric power (CON), eccentric power (ECC), and ECC overload during the Romanian deadlift exercise (RDL). A secondary aim was to assess the acute effect of internal and external attentional focus instructions on mean power when performing the flywheel RDL. Fourteen collegiate male field sport athletes (age, 23.3 ± 3.7 years; mass, 80.8 ± 9.9 kg; height, 1.79 ± 0.06 m) were randomized into internal (n = 7) or external (n = 7) attentional focus groups and attended four testing sessions, with a between-session separation of 7 days. Sessions consisted of four cluster sets of fifteen repetitions “excluding momentum repetitions” (4 × (5 + 5 + 5)) using a specific inertial load (0.025, 0.050, 0.075, and 0.100 kg·m−2) for a given set in a randomized ascending or descending order. Cluster sets were separated by a 45 s intra-set rest period. Both instructional focus groups attained familiarization, although the time taken to achieve familiarization (outcome stability) differed between groups. The external instructional group attained familiarization post-session 2 (Cohen’s d (ES), ES = 0.11–0.65) with little volatility between performance measures (CV% = 4.61–9.59). Additionally, the internal group reported inconsistencies among all inertial loads, reporting large differences in MP in the 0.100 kg·m−2 inertial load from day 2 to day 3 (ES = 1.22) and both 0.050 kg·m2 (p = 0.010) and 0.075 kg·m−2 (p = 0.016) between day 3 and day 4. The flywheel RDL cluster set approach is a reliable training modality for maintaining mean power output during cluster set repetitions. Full article
(This article belongs to the Special Issue Advances in Physiology of Training)
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<p>Testing procedure, including specific coaching instructions and weekly flywheel training program.</p>
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<p>Inter-day inter-set mean power (MP) by inertial load during the flywheel Romanian deadlift exercise from sessions 1 to 4. * = significantly greater than day 1 (<span class="html-italic">p</span> ≤ 0.05); ° = significantly greater than day 1 (<span class="html-italic">p</span> ≤ 0.001); # = significantly greater than day 2 (<span class="html-italic">p</span> ≤ 0.05); ∇ = significantly greater than day 2 (<span class="html-italic">p</span> ≤ 0.001); ◊ = significantly greater than day 3 (<span class="html-italic">p</span> ≤ 0.05).</p>
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20 pages, 971 KiB  
Article
Molecular Diversity of Mycobacterium avium subsp. paratuberculosis in Four Dairy Goat Herds from Thuringia (Germany)
by Chris Pickrodt, Heike Köhler, Udo Moog, Elisabeth M. Liebler-Tenorio and Petra Möbius
Animals 2023, 13(22), 3542; https://doi.org/10.3390/ani13223542 - 16 Nov 2023
Cited by 1 | Viewed by 914
Abstract
This study investigated the intra- and inter-herd diversity of Mycobacterium avium subsp. paratuberculosis (MAP) isolates from four goat herds in Thuringia (Germany) that were affected by paratuberculosis for several years. The main focus was on the characterization and distribution of genotypes among animals [...] Read more.
This study investigated the intra- and inter-herd diversity of Mycobacterium avium subsp. paratuberculosis (MAP) isolates from four goat herds in Thuringia (Germany) that were affected by paratuberculosis for several years. The main focus was on the characterization and distribution of genotypes among animals and the environment of goat herd 1. This study included 196 isolates from the feces of 121 infected goats, various tissues from 13 clinically diseased goats, 29 environmental samples from herd 1, and additionally, 22 isolates of different origin from herds 2 to 4. The isolates, sampled between 2018 and 2022, were genotyped using short-sequence-repeat (SSR) analysis, mycobacterial-interspersed repetitive units–variable-number tandem repeat (MIRU–VNTR) analysis, and a single nucleotide polymorphism (SNP)-based assay for phylogenetic grouping. All the isolates belonged to the MAP-C group. In herd 1, one predominant genotype was determined, while two other genotypes were identified very rarely and only in fecal and environmental samples. One of three further genotypes was found in each of herds 2 to 4. The assignment of genotypes to different phylogenetic clades suggested six different infection strains. The results indicated no epidemiological links between the examined herds. Based on the current MAP genotyping data from Germany, possible sources of infection are MAP-contaminated barns previously used by infected cattle and the purchase of sub-clinically infected goats. Full article
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<p>Localizations (1–4) of the examined four goat herds (herd 1 to 4) within the federal state Thuringia in Germany. The maps were generated with © GeoBasis-DE/Bundesamt für Kartographie und Geodäsie (2023).</p>
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<p>Origins of culture-positive environmental samples within the goat barn of herd 1 (<span class="html-italic">n</span> = 29) and determined <span class="html-italic">Mycobacterium avium</span> subsp. <span class="html-italic">paratuberculosis</span> genotypes. A (Q1–4)—Lactating goat area (stable quadrants 1–4); B—kidding area; C—stable entrance; D—waiting area milking parlor; E—exit milking parlor; F—milking parlor; orange points: genotype T1, green point: genotype T3.</p>
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13 pages, 252 KiB  
Article
Evaluation of Oxygen Absorbers Using Food Simulants and Inductively Coupled Mass Spectrometry
by Seung-Yeon Oh, Eun-Ji Kang, Kyung-Jik Lim, Yoon-Hee Lee and Han-Seung Shin
Foods 2023, 12(19), 3686; https://doi.org/10.3390/foods12193686 - 7 Oct 2023
Cited by 1 | Viewed by 1304
Abstract
In this study, we developed and validated an analytical method to evaluate the heavy metal elution from an active packaging material’s oxygen absorber to a food simulant. Using water, 4% acetic acid, n-heptane, 20% ethanol, and 50% ethanol as food simulants, we quantified [...] Read more.
In this study, we developed and validated an analytical method to evaluate the heavy metal elution from an active packaging material’s oxygen absorber to a food simulant. Using water, 4% acetic acid, n-heptane, 20% ethanol, and 50% ethanol as food simulants, we quantified cobalt, copper, platinum, and iron with inductively coupled plasma-mass spectrometry. The method was thoroughly validated for linearity, accuracy, precision, LOD, and LOQ through inter-day and intra-day analysis repetitions. R2 values ranged from 0.9986 to 1.0000, indicating excellent linearity. The LOD values ranged from 0.00002 to 0.2190 mg/kg, and the LOQ values ranged from 0.00007 to 0.6636 mg/kg. The method’s accuracy was 95.14% to 101.98%, with the precision ranging from 0.58% to 10.37%. Our results confirmed the method’s compliance with CODEX standards. Monitoring the oxygen absorber revealed undissolved platinum, cobalt levels from 0.10 to 19.29 μg/kg, copper levels from 0.30 to 976.14 μg/kg, and iron levels from 0.06 to 53.08 mg/kg. This study established a robust analytical approach for evaluating the heavy metal elution from oxygen absorbers, ensuring safety in the food industry. Full article
(This article belongs to the Section Food Analytical Methods)
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0 pages, 935 KiB  
Article
Within-Host Diversity of Coagulase-Negative Staphylococci Resistome from Healthy Pigs and Pig Farmers, with the Detection of cfr-Carrying Strains and MDR-S. borealis
by Idris Nasir Abdullahi, Carmen Lozano, Carmen Simón, Myriam Zarazaga and Carmen Torres
Antibiotics 2023, 12(10), 1505; https://doi.org/10.3390/antibiotics12101505 - 2 Oct 2023
Cited by 2 | Viewed by 1231
Abstract
The ecology and diversity of resistome in coagulase-negative staphylococci (CoNS) from healthy pigs and pig farmers are rarely available as most studies focused on the livestock-associated methicillin-resistant S. aureus. This study aims to characterize the antimicrobial resistance (AMR) mechanisms, intra-host species diversity [...] Read more.
The ecology and diversity of resistome in coagulase-negative staphylococci (CoNS) from healthy pigs and pig farmers are rarely available as most studies focused on the livestock-associated methicillin-resistant S. aureus. This study aims to characterize the antimicrobial resistance (AMR) mechanisms, intra-host species diversity (more than one species in a host), and intra-species AMR diversity (same species with more than one AMR profile) in CoNS recovered from the nasal cavities of healthy pigs and pig farmers. One-hundred-and-one CoNS strains previously recovered from 40 pigs and 10 pig farmers from four Spanish pig farms were tested to determine their AMR profiles. Non-repetitive strains were selected (n = 75) and their AMR genes, SCCmec types, and genetic lineages were analyzed by PCR/sequencing. Of the non-repetitive strains, 92% showed a multidrug resistance (MDR) phenotype, and 52% were mecA-positive, which were associated with SCCmec types V (46.2%), IVb (20.5%), and IVc (5.1%). A total of 28% of the pigs and pig farmers had intra-host species diversity, while 26% had intra-species AMR diversity. High repertoires of AMR genes were detected, including unusual ones such as tetO, ermT, erm43, and cfr. Most important was the detection of cfr (in S. saprophyticus and S. epidermidis-ST16) in pigs and pig farmers; whereas MDR-S. borealis strains were identified in pig farmers. Pig-to-pig transmission of CoNS with similar AMR genes and SCCmec types was detected in 42.5% of pigs. The high level of multidrug, within-host, and intra-species resistome diversity in the nasal CoNS highlights their ability to be AMR gene reservoirs in healthy pigs and pig farmers. The detection of MDR-S. borealis and linezolid-resistant strains underscore the need for comprehensive and continuous surveillance of MDR-CoNS at the pig farm level. Full article
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<p>Frequency of antimicrobial resistance in the CoNS strains recovered from nasal cavities of healthy pigs and pig farmers. Abbreviations CHL: chloramphenicol; CLI: clindamycin; CIP: ciprofloxacin; ERY: erythromycin; FOX: cefoxitin; GEN: gentamicin; LZD: linezolid; MUP: mupirocin; MDR: multidrug resistance; PEN: penicillin; SXT: sulfamethoxazole–trimethoprim; TET: tetracycline; TOB: tobramycin.</p>
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<p>Frequency of the types of SCC<span class="html-italic">mec</span> mobile elements identified in the MRCoNS nasal carriers.</p>
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<p>Frequency of intra-species AMR and intra-host species diversities of CoNS among healthy pigs and pig farmers. Note: The number of individuals included 10 pigs from each farm (a total of 40 pigs) and 10 workers from the four pig farms.</p>
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11 pages, 646 KiB  
Article
Acute Effects of Blood Flow Restriction Training on Movement Velocity and Neuromuscular Signal during the Back Squat Exercise
by Manuel García-Sillero, Sergio Maroto-Izquierdo, María Galván-García, Javier Benitez-Porres, Salvador Vargas-Molina and Jose Manuel Jurado-Castro
J. Clin. Med. 2023, 12(14), 4824; https://doi.org/10.3390/jcm12144824 - 21 Jul 2023
Viewed by 1744
Abstract
The aim of this study was to verify the effects of blood flow restriction on movement velocity and muscle activity during the back squat exercise. Methods: Twenty-four university students participated in this study. In two randomized sessions 72 h apart, participants performed a [...] Read more.
The aim of this study was to verify the effects of blood flow restriction on movement velocity and muscle activity during the back squat exercise. Methods: Twenty-four university students participated in this study. In two randomized sessions 72 h apart, participants performed a 4-set protocol consisting of 30-15-15-15 repetitions performed at 30% of their one-repetition maximum in the back squat exercise. In both sessions, neuromuscular function was monitored by surface electromyography (EMG) and movement velocity (mean propulsive velocity (MPV), peak concentric velocity (Vmax), and the effort index (EI)). Blood flow restriction (BFR) was applied during exercise in one of the experimental sessions with 80% of full arterial occlusion pressure over lower limbs. Results: The BFR condition showed higher (p < 0.05) EI, peak, and rooted mean square normalized EMG in Set 1 compared to Set 2. Similar MPV and Vmax were observed in each set for both the BFR and control conditions. No significant differences were observed between conditions in any set. Conclusions: BFR did not imply changes in neuromuscular performance during low-intensity resistance training, but it might induce greater intra-series velocity loss and less excitation of the muscles involved. Full article
(This article belongs to the Special Issue Clinical Advances in Rehabilitation and Prevention)
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<p>Diagram of study participants and experimental design.</p>
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10 pages, 2555 KiB  
Case Report
Artificial Intelligence-Based Hyper Accuracy Three-Dimensional (HA3D®) Models in Surgical Planning of Challenging Robotic Nephron-Sparing Surgery: A Case Report and Snapshot of the State-of-the-Art with Possible Future Implications
by Michele Di Dio, Simona Barbuto, Claudio Bisegna, Andrea Bellin, Mario Boccia, Daniele Amparore, Paolo Verri, Giovanni Busacca, Michele Sica, Sabrina De Cillis, Federico Piramide, Vincenzo Zaccone, Alberto Piana, Stefano Alba, Gabriele Volpi, Cristian Fiori, Francesco Porpiglia and Enrico Checcucci
Diagnostics 2023, 13(14), 2320; https://doi.org/10.3390/diagnostics13142320 - 10 Jul 2023
Cited by 6 | Viewed by 1696
Abstract
Recently, 3D models (3DM) gained popularity in urology, especially in nephron-sparing interventions (NSI). Up to now, the application of artificial intelligence (AI) techniques alone does not allow us to obtain a 3DM adequate to plan a robot-assisted partial nephrectomy (RAPN). Integration of AI [...] Read more.
Recently, 3D models (3DM) gained popularity in urology, especially in nephron-sparing interventions (NSI). Up to now, the application of artificial intelligence (AI) techniques alone does not allow us to obtain a 3DM adequate to plan a robot-assisted partial nephrectomy (RAPN). Integration of AI with computer vision algorithms seems promising as it allows to speed up the process. Herein, we present a 3DM realized with the integration of AI and a computer vision approach (CVA), displaying the utility of AI-based Hyper Accuracy Three-dimensional (HA3D®) models in preoperative planning and intraoperative decision-making process of challenging robotic NSI. A 54-year-old Caucasian female with no past medical history was referred to the urologist for incidental detection of the right renal mass. Preoperative contrast-enhanced abdominal CT confirmed a 35 × 25 mm lesion on the anterior surface of the upper pole (PADUA 7), with no signs of distant metastasis. CT images in DICOM format were processed to obtain a HA3D® model. RAPN was performed using Da Vinci Xi surgical system in a three-arm configuration. The enucleation strategy was achieved after selective clamping of the tumor-feeding artery. Overall operative time was 85 min (14 min of warm ischemia time). No intra-, peri- and post-operative complications were recorded. Histopathological examination revealed a ccRCC (stage pT1aNxMx). AI is breaking new ground in medical image analysis panorama, with enormous potential in organ/tissue classification and segmentation, thus obtaining 3DM automatically and repetitively. Realized with the integration of AI and CVA, the results of our 3DM were accurate as demonstrated during NSI, proving the potentialities of this approach for HA3D® models’ reconstruction. Full article
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<p>Axial slice of CT scan.</p>
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<p>HA3D<sup>®</sup> model workflow.</p>
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<p>HA3D<sup>®</sup> virtual model. (<b>A</b>) Standard 3D virtual model. (<b>B</b>) Standard 3D virtual model with transparent parenchyma. (<b>C</b>) A 3D virtual perfusion model.</p>
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<p>Result of automatic segmentation.</p>
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<p>Pre-, peri- and post-operative patient characteristics.</p>
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<p>Results of 3D reconstruction: (<b>A</b>) deep learning only; (<b>B</b>) deep learning combined with computer vision.</p>
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