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Search Results (322)

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35 pages, 3126 KiB  
Article
Behaviour Change Techniques: An Application to Increase Employees’ Willingness to Accept a Salary Reduction
by Emma Goelema, Muhammad Umar Boodoo, Fadi Makki, Ahmad Baasiri, Jana Kontar, Georgi Kirilov and Ivo Vlaev
Behav. Sci. 2024, 14(10), 924; https://doi.org/10.3390/bs14100924 - 10 Oct 2024
Viewed by 378
Abstract
During the COVID-19 pandemic, many organisations worldwide asked their employees to accept a temporary salary reduction to manage the financial consequences of the unprecedented event. In this paper, we use a CEO’s salary reduction announcement to all employees and investigate whether a behaviour [...] Read more.
During the COVID-19 pandemic, many organisations worldwide asked their employees to accept a temporary salary reduction to manage the financial consequences of the unprecedented event. In this paper, we use a CEO’s salary reduction announcement to all employees and investigate whether a behaviour change intervention using five selected Behaviour Change Techniques (BCTs) increases expat employees’ overall willingness to accept a temporary salary reduction. We use mixed qualitative and quantitative methods, including survey and experiment, to test our hypotheses and frame our results. The results show that, while the direction of impact was positive, respondents were overall not significantly more likely to accept a temporary salary reduction. However, a significant effect was found for the individual BCT ‘Modelling’. Participants were significantly more likely to accept a pay cut if they knew their senior management took a larger cut than asked of participants. The outcomes of this study suggest that the availability of a financial buffer and the strength of the employer–employee relationship play a, possibly more important, role in employees’ willingness to accept a pay reduction. In addition, leadership matters as this study shows that people are more willing to accept a salary reduction when senior management leads the way. Full article
(This article belongs to the Special Issue Managing Organizational Behaviors for Sustainable Wellbeing at Work)
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<p>Research Set-up.</p>
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13 pages, 263 KiB  
Article
Behavioral Biases and Judicial Decision-Making in Brazil
by Benjamin Miranda Tabak, Liziane Angelotti Meira, Ana Clarissa Masuko dos Santos Araujo and Aline Guiotti Garcia
Behav. Sci. 2024, 14(10), 922; https://doi.org/10.3390/bs14100922 - 10 Oct 2024
Viewed by 328
Abstract
We identify and present Brazil’s most common behavioral and heuristic biases in judicial decision-making. Through bibliographic and specific cases, we notice the occurrence of the representativeness heuristic, availability heuristic, anchoring heuristic (anchoring effect), confirmation bias, and affect heuristic bias in Brazilian judicial decisions. [...] Read more.
We identify and present Brazil’s most common behavioral and heuristic biases in judicial decision-making. Through bibliographic and specific cases, we notice the occurrence of the representativeness heuristic, availability heuristic, anchoring heuristic (anchoring effect), confirmation bias, and affect heuristic bias in Brazilian judicial decisions. We also present the current state of Brazilian legislation and its amendments that aim at impartiality in the production, the assessment of evidence, and the judge’s conviction. Finally, we present the suggestions and initiatives that aim to mitigate biases and heuristics in judicial decision-making in Brazil, especially with awareness techniques, the replacement of judges by algorithms, and the review of judicial decisions by collegiate bodies. Full article
(This article belongs to the Special Issue Decision Aggregation Processes and Sociocultural Influences)
32 pages, 12029 KiB  
Article
Fast Fashion, Sustainability, and Nudge Theory: Examining the Effects of Choice Architecture on Consumption of Sustainable Fashion over Fast Fashion
by Meital Peleg Mizrachi and Alon Tal
Sustainability 2024, 16(19), 8586; https://doi.org/10.3390/su16198586 - 3 Oct 2024
Viewed by 930
Abstract
This study considers ways to increase the consumption of sustainable fashion given the significant environmental and social damages associated with the industry. A series of experiments were conducted examining the impacts of choice architecture (nudges) under field conditions in collaboration with one of [...] Read more.
This study considers ways to increase the consumption of sustainable fashion given the significant environmental and social damages associated with the industry. A series of experiments were conducted examining the impacts of choice architecture (nudges) under field conditions in collaboration with one of Israel’s largest shopping centers. This study sought to identify which interventions at the retail level successfully motivate sustainable fashion behavioral change regarding purchases and willingness to pay more, along with agreement with several statements regarding the climate crisis and sustainable fashion. Among the types of nudges examined in this field study were providing information, increasing accessibility to sustainable alternatives and appealing to social identity in relation to demographics and green self-image. This study found that offering alternatives to consumers constituted the most effective way to “nudge” consumers toward more sustainable purchasing behavior. Nonetheless, this does not negate the contribution of providing information and strengthening social norms regarding sustainable fashion. Additionally, in all groups, most participants reported that they did not know how to distinguish between sustainable and non-sustainable fashion, nor did they believe that the clothes they purchased were actually sustainable. The findings emphasize the need for policies that will increase the accessibility of sustainable fashion. Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
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<p>Low WTPM for sustainable fashion in NIS under the various intervention conditions.</p>
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<p>The degree of agreement with statements regarding the climate crisis and sustainable fashion among the different intervention groups.</p>
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<p>Agreement with the statement “I Feel Like I Know How to Distinguish Between Green and Non-Green Clothes” among the different intervention groups.</p>
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<p>Agreement with the statement “I Came across Many Green Clothes Today” among the different intervention groups.</p>
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<p>Agreement with the statement “I Feel like I Know How to Distinguish between Green and Non-Green Clothes” among different age groups.</p>
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<p>Agreement with the statement “I Came Across Many Green Clothes Today” among the different age groups.</p>
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<p>Agreement with the statement “I Believe the Clothes I Bought Today Are Green Clothes” among the different age groups.</p>
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<p>Signs hanging from the ceiling of the mall, The signs, written in Hebrew, read: “Nylon pantyhose will take 30 to 40 years to decompose” (first from the left), “Fast and cheap fashion isn’t really cheap; someone else is paying the price” (second from the left), and “Raising animals for wool requires a huge amount of resources” (third from the left).</p>
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<p>Electronic sign outside the mall.</p>
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<p>“In order to produce one t-shirt it is necessary to use one hundred and fifty grams of insecticides”.</p>
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<p>“Eighty-two percent of our clothes end up in incineration or landfill”.</p>
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<p>“Eight thousand toxic chemicals are used in the process of dyeing clothes”.</p>
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<p>Sales stand of ecological birthing boxes.</p>
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<p>Second-hand clothes stand.</p>
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<p>Customers at a second-hand clothing stand.</p>
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<p>Participants holding cloth bags with the inscription “I Only Buy Green Fashion”.</p>
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12 pages, 924 KiB  
Article
Considering the Role of Behavioural Fatigue in the COVID-19 Lockdown Debates in Great Britain: A Retrospective Analysis of a National Survey Assessing the Relationships between Capability, Opportunity, Motivation, and Behaviour
by Saval Khanal, Kelly Ann Schmidtke, Kaloyan Haralampiev and Ivo Vlaev
Behav. Sci. 2024, 14(9), 852; https://doi.org/10.3390/bs14090852 - 23 Sep 2024
Viewed by 661
Abstract
During the COVID-19 pandemic, the term “behavioural fatigue” became the centre of policy debates in Great Britain. These debates involved deciding when to go into lockdown and whether behavioural interventions could be effective. Behavioural interventions can only succeed where people’s Capabilities, Opportunities, and [...] Read more.
During the COVID-19 pandemic, the term “behavioural fatigue” became the centre of policy debates in Great Britain. These debates involved deciding when to go into lockdown and whether behavioural interventions could be effective. Behavioural interventions can only succeed where people’s Capabilities, Opportunities, and Motivations to perform target behaviours are supported. Our retrospective data analyses examine the relationships between people’s Capabilities, Opportunities, Motivations, and Behaviours, i.e., adherence to lockdown guidelines. Our cross-sectional analyses include 17,962 unique participants in Great Britain who completed a survey over the initial 30 days of the first lockdown (April 2020). We examine trends in responses to each scale and then the relationships between the scales using Granger’s causality test with tests for stationarity and cointegration. A mixture of increasing and decreasing trends was identified for Capabilities and Opportunities. Decreasing trends were identified for Motivation and Behaviour. Granger’s causality tests found that Capability forecasts Opportunity and Behaviour and that Motivation forecasts Opportunity. The discussion reiterates that to realise and maintain Behaviour changes, policies surrounding people’s Capabilities, Opportunities, and Motivations must continue to support target behaviours. Full article
(This article belongs to the Special Issue Promoting Behavioral Change to Improve Health Outcomes)
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<p>Redrawn COM-B model figures from [<a href="#B12-behavsci-14-00852" class="html-bibr">12</a>].</p>
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<p>General algorithm of the relationship analyses.</p>
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<p>The mean daily scores with a best-fit model line for each COM-B component.</p>
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<p>Significant relationships between COM-B components with directionality. Plus signs (green lines) indicate positive relationships, and negative signs (red lines) indicate inverse relationships.</p>
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18 pages, 1469 KiB  
Article
Building Student Sustainability Competencies through a Trash-Practice Nudge Project: Service Learning Case Study in Kuwait
by Ali Aljamal and Mark Speece
Sustainability 2024, 16(18), 8102; https://doi.org/10.3390/su16188102 - 17 Sep 2024
Viewed by 581
Abstract
This discussion describes an experimental behavioral economics class implemented in a service learning format. Students implemented two nudge interventions to influence public trash behavior, which is an issue throughout the Middle East/North Africa (MENA). The aim in one project was to encourage more [...] Read more.
This discussion describes an experimental behavioral economics class implemented in a service learning format. Students implemented two nudge interventions to influence public trash behavior, which is an issue throughout the Middle East/North Africa (MENA). The aim in one project was to encourage more use of trash bins in a multi-screen theater and in the other to sort plastic, glass, and paper when throwing trash in the public bins at a university. These two organizations paid the implementation costs, which were quite low, as common for most nudges. The class was co-taught by two university faculty and several personnel from governmental and UN offices responsible for building nudge capabilities in Kuwait. In each case, results in the student projects demonstrated that nudging resulted in a substantial improvement. Students gained strong competencies in applying sustainability principles to a specific problem and in carrying out a real-world project. They learned the importance of collaborating with stakeholders and got to see that their work was actually used in policy formation by the Kuwait government and the UNDP’s Kuwait office. Full article
(This article belongs to the Special Issue Transformative Pedagogies for Sustainability Competence Development)
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<p>Levels of awareness about sustainability issues. Source: adapted from [<a href="#B39-sustainability-16-08102" class="html-bibr">39</a>], (p. 33, Figure 2); narrative by authors of this article.</p>
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<p>Cinema intervention logo. (The English is a translation of the Arabic.)</p>
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<p>Percent of trash in bins by control and rating.</p>
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<p>Percent of correctly sorted trash, control vs. treatments, both locations.</p>
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11 pages, 234 KiB  
Review
The Group Intertemporal Decision-Making Process
by Hong-Yue Sun, Yi-Ting Xiao and Shan-Shan Yang
Behav. Sci. 2024, 14(9), 815; https://doi.org/10.3390/bs14090815 - 14 Sep 2024
Viewed by 713
Abstract
Intertemporal decision making is the process by which individuals make judgments or choices regarding outcomes that occur at different times. Although intertemporal decision making is widely investigated, most studies explore it in terms of individual decision making, while neglecting group decision making, which [...] Read more.
Intertemporal decision making is the process by which individuals make judgments or choices regarding outcomes that occur at different times. Although intertemporal decision making is widely investigated, most studies explore it in terms of individual decision making, while neglecting group decision making, which holds more practical significance and adaptive value. This study recommends adopting a “two-process” approach that uses self-assessment questionnaires, audiovisual recordings, and visual decision-making tools to quantify interpersonal interaction processes and information processing in group intertemporal decision-making settings. In this way, studies can reveal the psychological and theoretical mechanisms of the group intertemporal decision-making process. At the level of interpersonal interaction processes, such an approach can identify the differential mechanisms between group and individual intertemporal decision making. In terms of information processing, it can reveal the mechanisms of the decision-making process in group intertemporal decision making. The findings of such work can provide a basis for interventions and nudges that encourage more visionary group intertemporal decision making. Full article
18 pages, 1950 KiB  
Article
Pro-Environmental Agriculture to Promote a Sustainable Lifestyle
by Sukanya Sereenonchai and Noppol Arunrat
Sustainability 2024, 16(17), 7449; https://doi.org/10.3390/su16177449 - 28 Aug 2024
Viewed by 576
Abstract
The non-burning rice straw (NBRS) strategy plays a crucial role in mitigating the climate impact of rice farming. This paper explores the factors influencing the efficacy of information nudges and proposes practical nudging strategies to promote NBRS. Experimental nudges were employed on participating [...] Read more.
The non-burning rice straw (NBRS) strategy plays a crucial role in mitigating the climate impact of rice farming. This paper explores the factors influencing the efficacy of information nudges and proposes practical nudging strategies to promote NBRS. Experimental nudges were employed on participating farmers, followed by a questionnaire survey and in-depth interviews to investigate clearer reasons for their adoption of non-burning practices, as well as the inclusion of participatory nudging design. Key factors influencing the efficacy of information nudges for NBRS among burning farmers showed that the perceived susceptibility and severity of burning could positively influence their adoption of non-burning practices, while rewards for burning were mostly found to be a significantly negative factor. Providing economic incentives helped the farmers to adopt non-burning practices because the monetary benefit was perceived. For those employing non-burning practices, self-efficacy was found to have a significant positive influence on the tendency to continue NBRS. The perceived cost of rice straw utilization (RSU) was mostly found to be a negative factor influencing RSU adoption. At first glance, the promotion of NBRS via demonstrating its ease and timeliness showed the practicality of information nudges, especially through leadership and farmers’ perception of success based on their direct experience. After testing each method, results indicate that if it fits the farmers’ context, making it seem social and attractive can build more confidence in RSU. Four main communication strategies for the nudging of NBRS include the following: (1) empower leading farmers as change agents through practical and visualized knowledge and skills training, continuous guidance and monitoring, and the providing of platforms to communicate the benefits of RSU to fellow farmers; (2) facilitate RSU and encourage farmers to practice integrated farming according to their local context; (3) elevate RSU among farmer groups to meet standardized and accepted levels; and (4) establish clear incentives for RSU and the systematic and collaborative managing of burning. Full article
(This article belongs to the Section Psychology of Sustainability and Sustainable Development)
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<p>Rice Straw Utilization (RSU): Self-efficacy, response efficacy, and response cost.</p>
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<p>Perceived rewards of burning, susceptibility, and severity.</p>
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<p>Practical nudging strategies and communication guidelines to promote RSU. (<b>Note</b>: (<b>1</b>) <b>All photos</b> were taken by the researchers from the study area; (<b>2</b>) <b>BF</b> means farmers with mainly burn rice straw; (<b>3</b>) <b>NBF</b> means farmers with mainly non-burn rice straw).</p>
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9 pages, 56292 KiB  
Proceeding Paper
The Influence of Nudges on Workers’ Safety Behavior in the Construction Industry
by Tzu-Lien Tzou, Pin-Chan Lee and Tzu-Ping Lo
Eng. Proc. 2024, 74(1), 15; https://doi.org/10.3390/engproc2024074015 - 27 Aug 2024
Viewed by 228
Abstract
The nudge theory has been applied to improve safety behavior in various industries. We implemented the nudge theory in the construction industry to improve worker safety. Nudges for construction safety were grouped into three categories and used in a project. The application of [...] Read more.
The nudge theory has been applied to improve safety behavior in various industries. We implemented the nudge theory in the construction industry to improve worker safety. Nudges for construction safety were grouped into three categories and used in a project. The application of nudges improved workers’ safety behavior, particularly in highlighting control measures. The background analysis results reveal that the implementation of nudges did not vary by gender, nationality, or age, demonstrating its high universality. The results of this study offer a reference for stakeholders in the construction industry who are aiming to bolster worker safety. Full article
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<p>Spray painting safety belt hooks as nudges.</p>
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<p>Examples of nudges.</p>
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<p>Influence of nudges on workers’ safety behavior.</p>
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50 pages, 3145 KiB  
Review
A History of Channel Coding in Aeronautical Mobile Telemetry and Deep-Space Telemetry
by Michael Rice
Entropy 2024, 26(8), 694; https://doi.org/10.3390/e26080694 - 16 Aug 2024
Viewed by 652
Abstract
This paper presents a history of the development of channel codes in deep-space telemetry and aeronautical mobile telemetry. The history emphasizes “firsts” and other remarkable achievements. Because coding was used first in deep-space telemetry, the history begins with the codes used for Mariner [...] Read more.
This paper presents a history of the development of channel codes in deep-space telemetry and aeronautical mobile telemetry. The history emphasizes “firsts” and other remarkable achievements. Because coding was used first in deep-space telemetry, the history begins with the codes used for Mariner and Pioneer. History continues with the international standard for concatenated coding developed for the Voyager program and the remarkable role channel coding played in rescuing the nearly-doomed Galileo mission. The history culminates with the adoption of turbo codes and LDPC codes and the programs that relied on them. The history of coding in aeronautical mobile telemetry is characterized by a number of “near misses” as channel codes were explored, sometimes tested, and rarely adopted. Aeronautical mobile telemetry is characterized by bandwidth constraints that make use of low-rate codes and their accompanying bandwidth expansion, an unattractive option. The emergence of a family of high-rate LDPC codes coupled with a bandwidth-efficient modulation has nudged the aeronautical mobile telemetry community to adopt the codes in their standards. Full article
(This article belongs to the Special Issue Coding for Aeronautical Telemetry)
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<p>An illustration of pulse code modulation (PCM): (<b>a</b>) the continuous-time sensor output and the corresponding 4-bit PCM representation using the NRZ pulse; (<b>b</b>) the two most common pulses used to represent bits: the non-return-to-zero (NRZ) pulse and the bi-phase (bi-<math display="inline"><semantics> <mi>ϕ</mi> </semantics></math>) pulse.</p>
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<p>A block diagram illustrating PCM/FM used in aeronautical mobile telemetry: (<b>a</b>) the airborne multiplexer/transmitter; (<b>b</b>) the ground-based demodulator/demultiplexer.</p>
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<p>A block diagram illustrating PCM/PSK/PM used in aerospace telemetry: (<b>a</b>) the space based multiplexer/transmitter; (<b>b</b>) the ground-based demodulator/demultiplexer.</p>
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<p>An encrypted aeronautical mobile telemetry system: (<b>a</b>) the encryption follows encoding; (<b>b</b>) encryption precedes encoding.</p>
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<p>A block diagram of the digital telemetry unit and transmitter used for <span class="html-italic">Pioneer</span> 9, 10, and 11. Adapted from [<a href="#B21-entropy-26-00694" class="html-bibr">21</a>].</p>
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<p>The rate-1/2 convolutional encoders used by the <span class="html-italic">Pioneer</span> program are as follows: (<b>a</b>) The systematic rate-1/2 convolutional encoder for <span class="html-italic">Pioneer</span> 9; (<b>b</b>) The non-systematic rate-1/2 convolutional encoder for <span class="html-italic">Pioneer</span> 10 and 11. The box with the “D” is a one-bit delay register.</p>
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<p>A block diagram of the <span class="html-italic">Mariner</span> 6 spacecraft.</p>
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<p>A block diagram of the concatenated coding system used for <span class="html-italic">Mariner</span> 9.</p>
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<p>The Viking telemetry systems: (<b>a</b>) the orbiter; (<b>b</b>) the lander.</p>
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<p>A block diagram of the <span class="html-italic">Voyager</span> 1 and 2 telemetry system: (<b>a</b>) a system-level overview (adapted from [<a href="#B47-entropy-26-00694" class="html-bibr">47</a>]); (<b>b</b>) a detailed view of the telecommunications subsystem.</p>
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<p>Coding procedures used for non-image telemetry data for <span class="html-italic">Voyager</span> 1 and 2: (<b>a</b>) <math display="inline"><semantics> <mrow> <mo stretchy="false">(</mo> <mn>7</mn> <mo>,</mo> <mstyle displaystyle="true"> <mfrac bevelled="true"> <mn>1</mn> <mn>2</mn> </mfrac> </mstyle> <mo stretchy="false">)</mo> </mrow> </semantics></math> convolutional encoding; (<b>b</b>) concatenated coding using the (24,12) Golay code as the outer code and the <math display="inline"><semantics> <mrow> <mo stretchy="false">(</mo> <mn>7</mn> <mo>,</mo> <mstyle displaystyle="true"> <mfrac bevelled="true"> <mn>1</mn> <mn>2</mn> </mfrac> </mstyle> <mo stretchy="false">)</mo> </mrow> </semantics></math> convolutional code as the inner code; (<b>c</b>) concatenated coding using the (255,223) Reed–Solomon code as the outer and the <math display="inline"><semantics> <mrow> <mo stretchy="false">(</mo> <mn>7</mn> <mo>,</mo> <mstyle displaystyle="true"> <mfrac bevelled="true"> <mn>1</mn> <mn>2</mn> </mfrac> </mstyle> <mo stretchy="false">)</mo> </mrow> </semantics></math> convolutional code as the inner code.</p>
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<p>The encoder for the <math display="inline"><semantics> <mrow> <mo stretchy="false">(</mo> <mn>7</mn> <mo>,</mo> <mstyle displaystyle="true"> <mfrac bevelled="true"> <mn>1</mn> <mn>2</mn> </mfrac> </mstyle> <mo stretchy="false">)</mo> </mrow> </semantics></math> convolutional code used by <span class="html-italic">Voyager</span> 1 and <span class="html-italic">Voyager</span> 2. Adapted from [<a href="#B6-entropy-26-00694" class="html-bibr">6</a>]. The box with a “D” is a single-bit delay.</p>
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<p>A block diagram of the originally planned Galileo orbiter telemetry system. Simplified from [<a href="#B61-entropy-26-00694" class="html-bibr">61</a>].</p>
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<p>A block diagram of the modified Galileo orbiter system completed before launch. Only TMU-B is shown. TMU-A remained unchanged from its original configuration shown in <a href="#entropy-26-00694-f013" class="html-fig">Figure 13</a>. Simplified from [<a href="#B61-entropy-26-00694" class="html-bibr">61</a>].</p>
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<p>A block diagram of the modified Galileo orbiter system to support the “Galileo S-band mission”. Simplified from [<a href="#B61-entropy-26-00694" class="html-bibr">61</a>].</p>
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<p>A simplified block diagram of the communication system and channel coding capabilities of the <span class="html-italic">Cassini</span>/<span class="html-italic">Huygens</span> space probe. Adapted from [<a href="#B69-entropy-26-00694" class="html-bibr">69</a>,<a href="#B73-entropy-26-00694" class="html-bibr">73</a>].</p>
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<p>The CCSDS turbo code encoder: (<b>a</b>) The turbo code structure based on two identical rate-1/4 systematic convolutional encoders and an information block buffer that also serves as an interleaver; (<b>b</b>) A block diagram of the constituent rate-1/4 systematic convolutional encoder.</p>
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<p>A block diagram of the <span class="html-italic">New Horizons</span> telemetry system.</p>
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<p>The experimental configuration for the coded PCM/FM experiment described in [<a href="#B129-entropy-26-00694" class="html-bibr">129</a>]: (<b>a</b>) the encoder and transmitter; (<b>b</b>) the demodulator and decoder.</p>
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<p>Trellis-coded modulation encoder/modulator studied by Carden, Kopp, and Ross [<a href="#B130-entropy-26-00694" class="html-bibr">130</a>,<a href="#B131-entropy-26-00694" class="html-bibr">131</a>,<a href="#B133-entropy-26-00694" class="html-bibr">133</a>,<a href="#B134-entropy-26-00694" class="html-bibr">134</a>]: (<b>a</b>) the 4-state trellis code mapping to 8-PSK; (<b>b</b>) the 4-state trellis code mapping to 16-PSK.</p>
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<p>A diagram of a simple PCM format comprising minor frames of <span class="html-italic">N</span> words and a major frame of <span class="html-italic">Z</span> minor frames [cf., <a href="#entropy-26-00694-f002" class="html-fig">Figure 2</a>a].</p>
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<p>A graphical representation of encoding used by a turbo product code based on <math display="inline"><semantics> <mrow> <mo stretchy="false">(</mo> <msub> <mi>n</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>k</mi> <mn>1</mn> </msub> <mo stretchy="false">)</mo> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mo stretchy="false">(</mo> <msub> <mi>n</mi> <mn>2</mn> </msub> <mo>,</mo> <msub> <mi>k</mi> <mn>2</mn> </msub> <mo stretchy="false">)</mo> </mrow> </semantics></math> linear block codes.</p>
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<p>A block diagram of the FTS dating from the 1950s: (<b>a</b>) the (ground-based) transmitter; (<b>b</b>) the (airborne) demodulator/decoder.</p>
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<p>A block diagram of the EFTS transmitter.</p>
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<p>A block diagram of the encoding procedure for the IRIG 106 LDPC codes.</p>
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<p>The structure of the iNET RF MAC frame and the RF burst. Adapted from Chapter 27 of IRIG 106-23 [<a href="#B163-entropy-26-00694" class="html-bibr">163</a>].</p>
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<p>The three packet layers defined in the packet telemetry downlink standard in IRIG 106, Section 7 [<a href="#B163-entropy-26-00694" class="html-bibr">163</a>].</p>
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12 pages, 1348 KiB  
Article
Multi-Level Protocol for Mechanistic Reaction Studies Using Semi-Local Fitted Potential Energy Surfaces
by Tomislav Piskor, Peter Pinski, Thilo Mast and Vladimir Rybkin
Int. J. Mol. Sci. 2024, 25(15), 8530; https://doi.org/10.3390/ijms25158530 - 5 Aug 2024
Viewed by 567
Abstract
In this work, we propose a multi-level protocol for routine theoretical studies of chemical reaction mechanisms. The initial reaction paths of our investigated systems are sampled using the Nudged Elastic Band (NEB) method driven by a cheap electronic structure method. Forces recalculated at [...] Read more.
In this work, we propose a multi-level protocol for routine theoretical studies of chemical reaction mechanisms. The initial reaction paths of our investigated systems are sampled using the Nudged Elastic Band (NEB) method driven by a cheap electronic structure method. Forces recalculated at the more accurate electronic structure theory for a set of points on the path are fitted with a machine learning technique (in our case symmetric gradient domain machine learning or sGDML) to produce a semi-local reactive potential energy surface (PES), embracing reactants, products and transition state (TS) regions. This approach has been successfully applied to a unimolecular (Bergman cyclization of enediyne) and a bimolecular (SN2 substitution) reaction. In particular, we demonstrate that with only 50 to 150 energy-force evaluations with the accurate reference methods (here complete-active-space self-consistent field, CASSCF, and coupled-cluster singles and doubles, CCSD) it is possible to construct a semi-local PES giving qualitative agreement for stationary-point geometries, intrinsic reaction coordinates and barriers. Furthermore, we find a qualitative agreement in vibrational frequencies and reaction rate coefficients. The key aspect of the method’s performance is its multi-level nature, which not only saves computational effort but also allows extracting meaningful information along the reaction path, characterized by zero gradients in all but one direction. Agnostic to the nature of the TS and computationally economic, the protocol can be readily automated and routinely used for mechanistic reaction studies. Full article
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<p>Bergman cyclization of enediyne. The reactant, transition state and product are labeled with R, TS and P, respectively. Elements are colored as follows: carbon (cyan), hydrogen (white).</p>
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<p>Potential energy profile for the Bergman cyclization of enediyne along the optimized NEB path. (<b>a</b>) Potential energy surface for CASSCF and sGDML. (<b>b</b>) Energy differences between the learned and CASSCF potential energy surface.</p>
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<p>Accuracy of geometric structures from the semi-local fitted PES for the Bergman cyclization of enediyne: position differences (MAE) for sGDML- and CASSCF-optimized structures. Atom numbering is given in <a href="#ijms-25-08530-f001" class="html-fig">Figure 1</a>.</p>
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<p>IRC for the Bergman cyclization of enediyne: relative energies and Root Mean Square gradients. The TS corresponds to the maximum energy value at an IRC displacement value of approximately 9.5.</p>
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<p>S<sub>N</sub>2 reaction of chloromethane with bromide. The reactant, TS and product states are given as R, TS and P, respectively. Elements are colored as follows: carbon (cyan), hydrogen (white), bromine (pink), chlorine (blue).</p>
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<p>Potential energy profile for the S<sub>N</sub>2 reaction of chloromethane and bromide along the optimized NEB path. (<b>a</b>) Potential energy surface for CCSD and sGDML. (<b>b</b>) Energy differences between the learned and CCSD potential energy surface.</p>
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<p>Accuracy of geometric structures from the semi-local fitted PES for the S<sub>N</sub>2 reaction of chloromethane and bromide: position differences (MAE) for sGDML- and CCSD-optimized structures. Atom numbering is given in <a href="#ijms-25-08530-f005" class="html-fig">Figure 5</a>.</p>
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<p>IRC for the S<sub>N</sub>2 reaction of chloromethane with bromide: relative energies and and Root Mean Square gradients. The TS corresponds to the maximum energy value at an IRC displacement value of approximately 4.8.</p>
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17 pages, 1152 KiB  
Article
Evaluating the Effectiveness of the Nudge Theory in Improving the Oral Self-Care of Schoolchildren with Refugee and Immigrant Backgrounds in Mashhad, Iran
by Seyed Ahmad Banihashem Rad, Marcella Esteves-Oliveira, Ali Kazemian, Negar Azami, Mehrzad Khorshid, Aylin Sohrabi, Amir Attaran Khorasani and Guglielmo Campus
Dent. J. 2024, 12(7), 228; https://doi.org/10.3390/dj12070228 - 19 Jul 2024
Viewed by 1016
Abstract
Nudge theory proposes using subtle interventions to encourage individuals to make better decisions. The aim of this study was to evaluate the effectiveness of the Nudge theory in plaque control and assess caries experience among third-grade primary schoolchildren with refugee and immigrant backgrounds [...] Read more.
Nudge theory proposes using subtle interventions to encourage individuals to make better decisions. The aim of this study was to evaluate the effectiveness of the Nudge theory in plaque control and assess caries experience among third-grade primary schoolchildren with refugee and immigrant backgrounds in Mashhad, Iran. Moreover, Afghan and Iranian schoolchildren were compared to assess differences in oral health outcomes. A quasi-experimental field trial was conducted in three public primary schools, comprising 309 participants approximately 9 years old. Interventions were randomly assigned to three schools: School I Messages based on Social Norms (MSN), School II Messages based on Fear of Negative Outcome (MFNO), and School III control group (C). MSN and MFNO received customized motivational video clips at baseline, while C only received Oral hygiene instruction (OHI). All participants received OHI, a brush, and toothpaste. Baseline plaque index (PI) and caries experience in primary and permanent dentition (dmft/DMFT) were recorded. PI was reassessed at two weeks, two months, and six months post-intervention. All data were subjected to statistical analysis. The mean PI decreased significantly in all three groups at the two-week follow-up (p < 0.01). The PI improvements declined over a six-month follow-up period in all groups, and the mean PI difference after six months compared to the pre-intervention was significant only in MSN and MFNO (p < 0.01), while C reverted almost to the pre-study level. Schoolchildren with at least one filled tooth or Iranian nationality showed a greater PI reduction (p < 0.01, p = 0.05). The overall mean ± SD dmft and DMFT were 4.24 ± 2.11 and 1.70 ± 1.24, respectively. Among all the examined participants, 32 (10.40%) individuals were caries-free. The mean dmft was statistically significantly higher in Afghan children than in Iranians (p = 0.01). MSN was more effective on PI reduction in the short term, while MFNO was more long-lasting. Using the Nudge theory via visual aids was more effective in motivating children to perform better oral self-care than solely traditional OHI. Full article
(This article belongs to the Special Issue Preventive Dentistry and Dental Public Health)
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<p>Schematic representation of study procedure. N: Number; MSN: Messages based on “Social Norms”; MFNO: Messages based on “Fear of Negative Outcome”; C: Control; OHI: Oral Hygiene Instruction; PI: Plaque Index; DMFT: Caries experience in the permanent dentition; dmft: Caries experience in the primary dentition.</p>
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<p>The plaque index mean changes in the study school groups at different time points. MSN: Messages based on Social Norms; MFNO: Messages based on Fear of Negative Outcome; C: Control. Horizontal axis shows “Time (follow-ups)”: T1: Baseline; T2: Two weeks; T3: Two months; T4: Six months. The vertical axis shows “Plaque Index means”.</p>
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34 pages, 23490 KiB  
Article
Assessing the Impact of Lightning Data Assimilation in the WRF Model
by Vanderlei Vargas, Rute Costa Ferreira, Osmar Pinto and Dirceu Luis Herdies
Atmosphere 2024, 15(7), 826; https://doi.org/10.3390/atmos15070826 - 10 Jul 2024
Cited by 1 | Viewed by 688
Abstract
Recent advancements in computational technologies have enhanced the importance of meteorological modeling, driven by an increased reliance on weather-dependent systems. This research implemented a lightning data assimilation technique to improve short-term weather forecasts in South America, potentially refining initialization methods used in meteorological [...] Read more.
Recent advancements in computational technologies have enhanced the importance of meteorological modeling, driven by an increased reliance on weather-dependent systems. This research implemented a lightning data assimilation technique to improve short-term weather forecasts in South America, potentially refining initialization methods used in meteorological operation centers. The main goal was to implement and enhance a data assimilation algorithm integrating lightning data into the WRF model, assessing its impact on forecast accuracy. Focusing on southern Brazil, a region with extensive observational infrastructure and frequent meteorological activity, this research utilized several data sources: precipitation data from the National Institute of Meteorology (INMET), lightning data from the Brazilian Lightning Detection Network (BrasilDAT), GOES-16 satellite images, synoptic weather charts from the National Institute for Space Research (INPE), and initial conditions from the GFS model. Employing the WRF-ARW model version 3.9.1.1 and WRFDA system version 3.9.1 with 3DVAR methodology, the study conducted three experimental setups during two meteorological events to evaluate the assimilation algorithm. These included a control (CTRL) without assimilation, a lightning data assimilation (LIGHT), and an adaptive humidity threshold assimilation (ALIGHT). Results showed that the lightning data assimilation system enhanced forecasts for large-scale systems, especially with humidity threshold adjustments. While it improved squall line timing and positioning, it had mixed effects when convection was thermally driven. The lightning data assimilation methodology represents a significant contribution to the field, indicating that using such alternative data can markedly improve short-term forecasts, benefiting various societal sectors. Full article
(This article belongs to the Section Meteorology)
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<p>(<b>a</b>) The study area, i.e., the simulation domain, is highlighted by a yellow square centered over Brazil and covers an extensive part of the southeast, south, and center–west regions (major cities marked in red). (<b>b</b>) The spatial distribution of observational data within the WRF simulation domain is shown, with the green square over most of São Paulo state indicating the evaluation area for assessing the impact of the assimilation process.</p>
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<p>Terrain elevation in meters (MSL) within the simulation domain outlined by a yellow square in <a href="#atmosphere-15-00826-f001" class="html-fig">Figure 1</a>a.</p>
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<p>Diagram illustrating the schematic structure of an experiment. The assimilation process was performed over a 30 min window around the analysis time (observations from 15 min before and after the analysis time were considered). All cycles were cold started.</p>
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<p>Illustration of the increase in <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>Q</mi> </mrow> <mrow> <mi>v</mi> </mrow> </msub> </mrow> </semantics></math> (difference between analysis and background values) resulting from the application of the assimilation algorithm developed in this study. The white points indicate the locations of the simulated observation stations (604 total), where lightning data were interpolated (as depicted in <a href="#atmosphere-15-00826-f005" class="html-fig">Figure 5</a>).</p>
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<p>Flash rate density (<math display="inline"><semantics> <mrow> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>2</mn> </mrow> </msup> <mo>/</mo> <msup> <mrow> <mi mathvariant="normal">k</mi> <mi mathvariant="normal">m</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msup> </mrow> </semantics></math>) derived from lightning detection data and interpolated onto the model’s grid, which has a 9 km horizontal resolution. This corresponds to the same period shown in <a href="#atmosphere-15-00826-f004" class="html-fig">Figure 4</a>.</p>
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<p>Diagram illustrating the integration of the assimilation algorithm with the WRF model’s structure [<a href="#B5-atmosphere-15-00826" class="html-bibr">5</a>,<a href="#B6-atmosphere-15-00826" class="html-bibr">6</a>]. It shows how the normal workflow of the model was modified to incorporate the data assimilation process. Highlighted in blue are structures necessary for the assimilation, while the assimilation algorithm developed in this study is highlighted in green.</p>
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<p>This graph displays the temporal variation in the number of lightning detections every 30 min for a specific case, represented by a blue line. The red line indicates the analysis time (18:00 on 19 May), while the black dots denote the data points used to compute the linear regression model. The green line represents the best fit to these points, and α is the angle used to determine the RH correction, as in Equation (2).</p>
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<p>Illustration of the Barnes interpolation algorithm applied to precipitation data (measured in mm/h) using datasets from INPE/CPTEC.</p>
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<p>Lightning detections every 30 min within the inner (i.e., the evaluation area) and outer (i.e., the simulation area) domains on 19 May 2018. Outer domain refers to the simulation domain while the inner domain refers to the evaluation area.</p>
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<p>(<b>a</b>) Synoptic chart at 00:00 UTC on 19 May 2018, depicting the surface synoptic environment in South America. (<b>b</b>) Synoptic chart at 00:00 UTC showing the environment at 250 hPa [<a href="#B66-atmosphere-15-00826" class="html-bibr">66</a>].</p>
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<p>Flash density during the peak lightning detection period in the inner domain for a 30 min interval from 11:15 to 11:45 UTC on 19 May 2018. The green square represents the same area highlighted in <a href="#atmosphere-15-00826-f001" class="html-fig">Figure 1</a>b.</p>
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<p>GOES-16 satellite images from channel 7 (3.90 µ) displaying cloud-top temperatures (°C) at 00:00 (<b>a</b>), 09:00 (<b>b</b>), and 18:00 (<b>c</b>) UTC on 19 May 2018 [<a href="#B69-atmosphere-15-00826" class="html-bibr">69</a>].</p>
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<p>Comparison of <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>Q</mi> </mrow> <mrow> <mi>v</mi> </mrow> </msub> </mrow> </semantics></math> increments (analysis minus CTRL) vertically integrated from the ALIGHT (<b>a</b>) and LIGHT (<b>b</b>) experiments at 09:00 UTC on 19 May 2018. The green square represents the same area highlighted in <a href="#atmosphere-15-00826-f001" class="html-fig">Figure 1</a>b.</p>
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<p>Total water vapor <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>Q</mi> </mrow> <mrow> <mi>v</mi> </mrow> </msub> </mrow> </semantics></math> added by the assimilation algorithm in the inner and outer domains, detailed for each simulation cycle on 19 May 2018.</p>
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<p>Accumulated precipitation totals in the evaluation area (i.e., inner domain) for each simulation cycle on 19 May 2018, broken down by experiment.</p>
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<p>BIAS for three-hour accumulated precipitation corresponding to the first case for each simulation cycle, with a dashed line indicating the corresponding average.</p>
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<p>Precipitation accumulation in the inner domain for cycle iv (09:00 UTC on 19 May 2018), broken down by time and experiment: (<b>a</b>–<b>c</b>) observed precipitation; (<b>d</b>–<b>f</b>) CTRL experiment; (<b>g</b>–<b>i</b>) LIGHT experiment; (<b>j</b>–<b>l</b>) ALIGHT experiment. Shown at 10:00 (1 h), 11:00 (2 h), and 12:00 (3 h).</p>
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<p>Simulated and observed precipitation rates from 09:00 UTC on 19 May 2018 to 08:00 UTC on 20 May 2018 (<b>a</b>), and the calculated BIAS for the precipitation rate (<b>b</b>).</p>
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<p>POD (<b>a</b>), TS (<b>b</b>), and FAR (<b>c</b>) for the precipitation rate shown in <a href="#atmosphere-15-00826-f018" class="html-fig">Figure 18</a> using the first threshold (30 km and 1 mm).</p>
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<p>Lightning detections every 30 min within the inner and outer domains on 24 January 2018. Outer domain refers to the simulation domain while the inner domain refers to the evaluation area.</p>
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<p>(<b>a</b>) Synoptic chart at 00:00 UTC on 24 January 2018, depicting the surface synoptic environment in South America. (<b>b</b>) Synoptic chart at 00:00 UTC showing the environment at 250 hPa [<a href="#B66-atmosphere-15-00826" class="html-bibr">66</a>].</p>
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<p>Flash density during the peak lightning detection period in the inner domain for a 30 min interval from 11:15 to 11:45 UTC on 24 January 2018. The green square represents the same area highlighted in <a href="#atmosphere-15-00826-f001" class="html-fig">Figure 1</a>b.</p>
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<p>GOES-16 satellite images from channel 7 (3.90 µ) displaying cloud-top temperatures (°C) at 00:00 (<b>a</b>), 09:00 (<b>b</b>), and 18:00 (<b>c</b>) UTC on 24 January 2018 [<a href="#B69-atmosphere-15-00826" class="html-bibr">69</a>].</p>
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<p>Comparison of <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>Q</mi> </mrow> <mrow> <mi>v</mi> </mrow> </msub> </mrow> </semantics></math> increments in g/kg (analysis minus CTRL), vertically integrated, from the ALIGHT (<b>a</b>) and LIGHT (<b>b</b>) experiments at 09:00 UTC on 24 January 2018. The green square represents the same area highlighted in <a href="#atmosphere-15-00826-f001" class="html-fig">Figure 1</a>b.</p>
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<p>Total water vapor <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>Q</mi> </mrow> <mrow> <mi>v</mi> </mrow> </msub> </mrow> </semantics></math> added by the assimilation algorithm in the inner and outer domains, detailed for each simulation cycle on 24 January 2018.</p>
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<p>Accumulated precipitation totals in the evaluation area (i.e., inner domain) for each simulation cycle on 24 January 2018, broken down by experiment.</p>
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<p>BIAS for three-hour accumulated precipitation corresponding to the second case for each simulation cycle, with a dashed line indicating the corresponding average.</p>
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<p>Precipitation accumulation in the inner domain for cycle iv (09:00 UTC on 24 January 2018), broken down by time and experiment: (<b>a</b>–<b>c</b>) observed precipitation; (<b>d</b>–<b>f</b>) CTRL experiment; (<b>g</b>–<b>i</b>) LIGHT experiment; (<b>j</b>–<b>l</b>) ALIGHT experiment. Shown at 10:00 (1 h), 11:00 (2 h), and 12:00 (3 h).</p>
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<p>Simulated and observed precipitation rates from 09:00 UTC on 24 January 2018 to 08:00 UTC on 25 January 2018 (<b>a</b>), and the calculated BIAS for the precipitation rate (<b>b</b>).</p>
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<p>Details for POD (<b>a</b>), TS (<b>b</b>), and FAR (<b>c</b>) for the precipitation rate are shown in <a href="#atmosphere-15-00826-f029" class="html-fig">Figure 29</a> using the first threshold (30 km and 1 mm).</p>
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20 pages, 3012 KiB  
Review
Typical Guidelines for Well-Balanced Diet and Science Communication in Japan and Worldwide
by Naohisa Shobako, Hiroshi Itoh and Keiko Honda
Nutrients 2024, 16(13), 2112; https://doi.org/10.3390/nu16132112 - 2 Jul 2024
Cited by 1 | Viewed by 1753
Abstract
Numerous studies have investigated healthy diets and nutrients. Governments and scientists have communicated their findings to the public in an easy-to-understand manner, which has played a critical role in achieving citizens’ well-being. Some countries have published dietary reference intakes (DRIs), whereas some academic [...] Read more.
Numerous studies have investigated healthy diets and nutrients. Governments and scientists have communicated their findings to the public in an easy-to-understand manner, which has played a critical role in achieving citizens’ well-being. Some countries have published dietary reference intakes (DRIs), whereas some academic organizations have provided scientific evidence on dietary methods, such as traditional diets. Recently, more user-friendly methods have been introduced; the Health Star Rating system and Optimized Nutri-Dense Meals are examples from Australia and Japan, respectively. Both organizations adopt a novel approach that incorporates nudges. This review summarizes the science communication regarding food policies, guidelines, and novel methods in Japan and other countries. In the food policies section, we discuss the advantages and disadvantages of the DRIs and food-based guidelines published by the government. Dietary methods widely known, such as The Mediterranean diet, Nordic diet, Japanese traditional diet, and the EAT-Lancet guidelines, were also reviewed. Finally, we discussed future methods of science communications, such as nudge. Full article
(This article belongs to the Special Issue The Impact of Nutritional Education and Food Policy on Consumers)
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<p>Fats (recommended amount) described in Japanese DRI. The fats enclosed by the dotted rectangle are regulated in the Japanese DRI.</p>
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<p>Food balance guides from various countries and traditional diets. (<b>a</b>) Japanese Food Guide Spinning Top. (<b>b</b>) My plate plan in the USA. (<b>c</b>) The Eat well guide in the UK. (<b>d</b>) The healthy food palm in Saudi Arabia. (<b>e</b>) The Australian guide to healthy eating. (<b>f</b>) The Mediterranean diet.</p>
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<p>Food balance guides from various countries and traditional diets. (<b>a</b>) Japanese Food Guide Spinning Top. (<b>b</b>) My plate plan in the USA. (<b>c</b>) The Eat well guide in the UK. (<b>d</b>) The healthy food palm in Saudi Arabia. (<b>e</b>) The Australian guide to healthy eating. (<b>f</b>) The Mediterranean diet.</p>
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<p>Approval symbol for Optimized Nutri-Dense Meals. Its definition is discussed in <a href="#sec5-nutrients-16-02112" class="html-sec">Section 5</a>.</p>
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9 pages, 604 KiB  
Systematic Review
Assessing the Impact of Behavioral Sciences Interventions on Chronic Disease Prevention and Management: A Systematic Review of Randomized Controlled Trials
by Rafael Corrêa, Matheus Britto Froner and Benjamin Miranda Tabak
Int. J. Environ. Res. Public Health 2024, 21(7), 837; https://doi.org/10.3390/ijerph21070837 - 27 Jun 2024
Viewed by 805
Abstract
Studies have highlighted the importance of applying Behavioral Sciences interventions to develop equity in the prevention of chronic diseases in the public health domain. Our study aims to assess the evidence of this influence. We undertook a systematic review study using the electronic [...] Read more.
Studies have highlighted the importance of applying Behavioral Sciences interventions to develop equity in the prevention of chronic diseases in the public health domain. Our study aims to assess the evidence of this influence. We undertook a systematic review study using the electronic databases PubMed, Web of Science, Scopus and Cochrane, searching for work published between 2013 and 2023. The research analyzed the influence of Behavioral Sciences intervention studies on public health. This review was registered and published in PROSPERO, registration number CRD42023412377. The systematic search identified 2951 articles. The review analyzed 26 studies. The quality assessment of the articles showed an overall average of 74%, with the majority of studies being of high quality. The interventions with the best evidence for chronic diseases used framing messages, nudges and vouchers. Messages with incentives also showed satisfactory evidence. The most prevalent outcomes were related to screening tests and patient adherence to treatment. The current state of decision-making remains mainly at the patient level, with potential for further exploration of the roles of healthcare professionals and decision-makers in future research efforts. Limitations relate to the heterogeneity of the study sample, which hinders a more precise analysis of specific interventions and outcomes in chronic diseases. Full article
(This article belongs to the Special Issue Analysis Approaches for Disease Prevention and Health Promotion)
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<p>Study flowchart.</p>
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16 pages, 924 KiB  
Article
Nudging Householders to Reduce Avoidable Food Waste: The OzHarvest Use It Up Tape
by Mark Boulet and Nita Lauren
Sustainability 2024, 16(12), 5132; https://doi.org/10.3390/su16125132 - 17 Jun 2024
Cited by 1 | Viewed by 1306
Abstract
Targeting households with food waste reduction interventions represents a critical opportunity to meet global targets to halve food loss and waste. While the evidence base on the effectiveness of food waste interventions is growing generally, less is known about the outcomes of household-focused [...] Read more.
Targeting households with food waste reduction interventions represents a critical opportunity to meet global targets to halve food loss and waste. While the evidence base on the effectiveness of food waste interventions is growing generally, less is known about the outcomes of household-focused interventions. This mixed methods study explores how households experienced a behaviourally orientated nudge (the OzHarvest Use it Up TapeTM) and examines its impact on food waste and behaviour change. The “Tape” served multiple functions for households—including as a visual prompt, a labelling device, a planning tool, and a communication tool—and was more effective for large families and for individuals who were disorganised when shopping and cooking. Significant reductions were also identified in participants’ fresh vegetable and fruit waste and in the total food amounts they wasted. This study demonstrates the effectiveness of behaviourally orientated nudges, like the Tape, in reducing food waste. Full article
(This article belongs to the Special Issue Food Science and Engineering for Sustainability)
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<p>OzHarvest Use It Up Tape<sup>TM</sup>.</p>
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<p>Example stills taken from participants’ diaries showing how the Tape was used. (<b>a</b>) To mark individual food items to use up. (<b>b</b>) To mark out a shelf in the refrigerator (or pantry) to place items that needed to be used up.</p>
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