bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Family of Single‐Switch High Step‐Up DC‐DC Converters Based on Switched‐Capacitor Converters
Authors: Fu Yu , Li Shouxiang , Zou Suli , Li Xiaolu Lucia , Yang Jingxi , Zhang Guoju 
Published: November 2024

ABSTRACTIn this paper, a family of single‐switch high step‐up DC‐DC converters based on switched‐capacitor (SC) cells and coupled inductor (CL) or built‐in transformer (BIT) is proposed. By replacing one active switch in the 3X‐ladder switched‐capacitor converter (SCC) with the primary side of a CL or BIT whose secondary side is incorporated into a multiplexed current path, the proposed topology integrates the high power‐density feature of a ladder SCC with the voltage‐lift effect of a CL or BIT. In addition, the problems of high current spikes and limited efficiency in the voltage regulation range of the traditional ladder SCC are tackled, making them suitable for distributed generation systems, microgrids, and so forth. For illustration purposes, the performance of the topologies within the family is compared in multiple ways, detailed operation principles and design considerations of one specific converter are given. Finally, experimental results are presented to verify the analytical findings.
Moving beyond the plan: Exploring the opportunities to accelerate the implementation of municipal climate change adaptation policies and plans
Authors: Rogers Nina J. L. , Adams Vanessa M. , Byrne Jason A. 
Published: November 2024

AbstractAcross the globe, ecosystems, biodiversity and human societies are experiencing the escalating and often catastrophic impacts of anthropogenic climate change. Well‐considered, properly resourced and trans‐scalar adaptation responses are essential. Local governments (e.g., municipal councils) can provide crucial support to communities enabling planning, response and recovery from climate change impacts. While innumerable municipal climate change adaptation policies, strategies and plans have been developed, the implementation of adaptation actions typically lags, creating a planning‐to‐implementation gap. Contributing factors and the opportunities to overcome key constraints remain underexplored. This article reports the results of research addressing that knowledge gap analysing the circumstances that give rise to a municipal climate adaptation implementation gap, and the opportunities to progress from adaptation planning to implementation. Interviews with 25 local government leaders and staff reveal five key opportunities to advance the implementation of adaptation polices and plans—(i) mobilising novel finance solutions; (ii) developing an adaptation skills pipeline; (iii) building collaborative and trans‐disciplinary ways of working across municipal councils; (iv) enhancing the salience and prominence of adaptation as a core municipal concern and (v) legislating for municipal climate change adaptation mainstreaming. Establishing good climate governance and improving capacity for adaptation will be critical if local governments are to close the municipal climate change adaptation planning‐to‐implementation gap.
Challenges and Insights Gained During the Implementation of Population‐Based Birth Defect (BD) Surveillance in a Tribal District of Maharashtra, India
Authors: Surve Suchitra , Gawai Priyanka , Kulkarni Ragini , Salvi Neha , Bodade Sanjay , Begum Shahina , Suryavanshi Dayanand , Chavan Milind , Pachalkar Ujwal , Pagi Pradeep , Chauhan Sanjay 
Published: November 2024

ABSTRACTBirth Defects (BDs) are a significant contributor to childhood mortality worldwide, yet BD surveillance and management in Low and Middle‐Income Countries (LMICs) like India remain under‐prioritised. This article presents findings from a population‐based BD surveillance conducted in the Palghar district, Maharashtra, India, aimed at identifying challenges and solutions in the implementation of BD surveillance. The data on BDs was collected between April 2021 and March 2023 from 38 Primary Health Centres (PHCs), nine Rural Hospitals (RH) and three Sub‐district Hospitals (SDH) from seven tribal blocks of Palghar district. A total of 402 BDs were identified during the study period through facility and community‐based approaches. Certain challenges were encountered at different levels of surveillance including underreporting by healthcare workers (ASHAs), non‐functional District Early Intervention Centres (DEICs), a non‐operational web portal for data entry and parenteral barriers attributing to screening, referral and management of BDs. Measures were taken to overcome these challenges comprising refresher training for ASHAs, the creation of communication channels and the distribution of educational materials. These initiatives encouraged and significantly improved the reporting of Visible BDs (VBDs) through ASHAs and programs (Rashtriya Bal Swasthya Karyakram) at the end of the reporting period. This study highlights that addressing these system shortcomings could be effectively achieved through intersectoral coordination and the involvement of Health Care Workers (HCWs) aligning with programme objectives. It further underscores the need for improved infrastructure and training to enhance BD surveillance effectiveness in South Asian countries, especially in tribal regions.
Predicting and Explaining Assessment Center Judgments: A Cross‐Validated Behavioral Approach to Performance Judgments in Interpersonal Assessment Center Exercises
Authors: Grunenberg Eric , Stachl Clemens , Breil Simon M. , Schäpers Philipp , Back Mitja D. 
Published: November 2024

ABSTRACTAlthough Assessment Center (AC) role‐play assessments have received ample attention in past research, their reliance on actual behavioral information is still unclear. Uncovering the behavioral basis of AC role‐play assessments is, however, a prerequisite for the optimization of existing and the development of novel automated AC procedures. This work provides a first data‐driven benchmark for the behavioral prediction and explanation of AC performance judgments. We used machine learning models trained on behavioral cues (C = 36) to predict performance judgments in three interpersonal AC exercises from a real‐life high‐stakes AC (selection of medical students, N = 199). Three main findings emerged: First, behavioral prediction models showed substantial predictive performance and outperformed prediction models representing potential judgment biases. Comparisons with in‐sample results revealed overfitting of traditional approaches, highlighting the importance of out‐of‐sample evaluations. Second, we demonstrate that linear combinations of behavioral cues can be strong predictors of assessors' judgments. Third, we identified consistent exercise‐specific patterns of individual cues and cross‐exercise consistent behavioral patterns of behavioral dimensions and interpersonal strategies that were especially predictive of the assessors' judgments. We discuss implications for future research and practice.
Displacement and menstrual shame for adolescent girls in South Sudan's humanitarian crises: A cross‐sectional analysis
Authors: Spiller Ellen , Blackwell Alexandra , Ayella Cosmas , Falb Kathryn 
Published: November 2024

SynopsisThis study investigates the association between forced displacement and the experience of menstrual shame, highlighting age and current displacement as influential factors of menstrual wellbeing amidst humanitarian crises.
LiteEncrypt: A Lightweight Block Cipher for Secure Communication in IoT Enabled Sensor
Authors: Sahay Rashmi , Lakshmi Lingutla , Dodhiawala Zion 
Published: November 2024

ABSTRACTThe resource‐constrained characteristics of the Internet of Things (IoT) sensors lead to a pressing security requirement for developing lightweight cryptographic algorithms. This work introduces and analyzes a novel lightweight cryptographic algorithm for resource‐constrained devices. The algorithm is based on the Feistel structure in which the round function combines circular shifts, XOR, and key addition operation for data encryption and decryption. With a key size of 128 bits and a block size of 64 bits, the algorithm employs Linear Feedback Shift Registers (LFSR) for key generation. The algorithm's security is evaluated by examining its adherence to the avalanche criterion, a critical property for robust encryption. A comprehensive comparison is made between the proposed algorithm and a previously developed lightweight encryption algorithm, which also utilized LFSR for key generation in terms of avalanche effect, execution time and energy consumption. The proposed cipher is found to be significantly faster with an encryption time of 88 microseconds on Android Uno. The proposed cipher is also faster and consumed less energy in ESP 32, STM Nucleo, and Android Nano.
Management costs influence golfer perceptions of turfgrass quality and playability
Authors: Amundsen Keenan , Thompson Cole , Kreuser William , Gaussoin Roch 
Published: November 2024

AbstractResearch was conducted to determine if turfgrass quality and playability perceptions of golf course fairway plots of buffalograss (Bouteloua dactyloides [Nutt.] Columbus), creeping bentgrass (Agrostis stolonifera L.), and Kentucky bluegrass (Poa pratensis L.) managed at a 1.27‐cm mowing height changed after participants were informed of management costs. A field study was designed with species as main plots, split with different irrigation, fertility, and pest control inputs that influenced management costs. Study participants indicated their golf ability level and playing frequency. Participants rated plots (0 for acceptable or 1 for not acceptable) for visual quality and playability as a golf course fairway. Participants were then informed of management cost ranges for described treatments and rated the plots again. The number of acceptable ratings for quality and playability were compared between informed and uniformed groups. Quality and playability perceptions changed the most between informed and uninformed groups for irrigation treatments. At the lowest cost group, buffalograss had the greatest increase in acceptability for quality and playability between informed and uninformed groups. Informing clientele about management costs may increase rate of turfgrass acceptability at reduced management inputs.
A Metabolomics Strategy Combining Countercurrent Separation and qNMR for the Comprehensive Chemical Evaluation of Polygoni Multiflori Radix Processing
Authors: Ngo Trung Huy , Lee Yoon‐Jin , Choi Hyukjae , Song Kyung‐Sik , Lee Kyu Joon , Nam Joo‐Won 
Published: November 2024

ABSTRACTIntroductionPolygoni Multiflori Radix (PMR) is commonly used in traditional medicine as both raw and processed forms. Raw PMR was prepared into processed PMR via processing procedure; however, there is a lack of standardized protocols ensuring the completeness of processing.ObjectiveThis aims to develop a strategy based on a metabolomics approach for the comprehensive chemical profiling and comparison of raw and processed PMR and establish a basis for PMR processing standardization.Materials and MethodsMethanol extracts of raw and processed PMR were fractionated by centrifugal partition chromatography (CPC) with an optimized two‐phase solvent system based on the partition coefficient calculated from the shake‐flask method to produce primary (1°Ms)‐ and secondary metabolites (2°Ms)‐enriched fractions. These fractions were profiled by 1D and 2D and selective 1D NMR experiments, spectral fitting, and comparison with reference standards. The profiled compounds were quantified via quantitative 1H NMR (qHNMR) to show the chemical changes, which were correlated with changes in antioxidant effects on H2452 cells.ResultsA CPC method was developed to efficiently separate 1°Ms‐ and 2°Ms‐enriched fractions. This method achieved high purity of the major stilbene in PMR in a single run. qHNMR effectively quantified four 2°Ms and twenty‐one 1°Ms in both raw and processed PMR, including meso‐butane‐2,3‐diol, which was first reported from processed PMR. Changes in chemical composition of PMR because of processing are highly correlated to the increase of antioxidant activity.ConclusionA convenient and cost‐effective strategy for the comprehensive chemical profiling of raw and processed PMR was developed by combining countercurrent separation and qHNMR. This approach will contribute to the standardization of medicinal herbal materials.
Classification Analysis of Transition Metal Compounds Using Quantum Machine Learning
Authors: Vedavyasa Kurudi V , Kumar Ashok 
Published: November 2024

AbstractQuantum machine learning (QML) leverages the potential of machine learning (ML) to explore the subtle patterns in huge datasets of complex nature with quantum advantages. QML accelerates materials research with active screening of chemical space, identifying novel materials for practical applications, and classifying structurally diverse materials given their measured properties. This study analyzes the performance of three efficient quantum machine learning algorithms viz., variational quantum classifier (VQC), quantum support vector classifier (QSVC), and quantum neural networks (QNN) for distinguishing transition metal chalcogenides (TMCs) from transitional metal oxides (TMOs). By employing feature selection, classical machine learning achieves 100% accuracy whereas QML achieves the highest performance of 99% and 98% for test and train data respectively on QSVC. Further, to extend the QML models for structural and functional analysis of materials that cannot be inferred directly from the formula, stability analysis, and magnetic nature analysis on 1000 and 500 materials are performed, respectively. The stability analysis achieves 78% accuracy with QSVC and the magnetic nature analysis achieves 88% with QNN establishing the competence of QML models. This study proves that QML models are remarkable in materials classification and analysis which fuels the task of materials discovery in the future.
Evaluating the Sustainability of Local Women's Climate Change Adaptation Strategies in Durban, South Africa: A Feminist Political Ecology and Intersectionality Perspective
Authors: Udo Fidelis , Bhanye Johannes , Daouda Diallo Balkissa , Naidu Maheshvari 
Published: November 2024

ABSTRACTThis paper employs a feminist political ecology and an intersectionality framework to examine the multiple dimensions of local women's vulnerability and adaptation to climate change impacts in selected locations in Durban, KwaZulu‐Natal Province, South Africa. We focus particularly on assessing the sustainability of the gendered adaptive strategies employed by these women. Utilising a qualitative methodology, the study is based on semi‐structured interviews and focus group discussions with local Black women, highlighting the local context of the women's adaptation to flood impacts. The findings revealed that adaptation strategies are informed by women's situated knowledge, cultural practices, and agency, illustrating the complex, context‐specific nature of responses to climate challenges. We argue that a bottom‐up approach, which prioritises the effectiveness and sustainability of women's adaptation strategies, is crucial for fostering longer‐term, more equitable, and sustainable solutions to climate impacts. By advocating this approach, the paper contributes to a deeper understanding of gendered adaptation practices that align with global efforts to achieve the Sustainable Development Goals (SDGs) related to gender equality (SDG 5), reducing inequalities (SDG 10), promoting climate action (SDG 13), and sustainable cities and communities (SDG 11).
Growing gains and growing pains: Examining the growth intentions of established entrepreneurs
Authors: Freel Mark , Rostamkalaei Anoosheh , Tran Hien 
Published: November 2024

AbstractResearch SummaryFollowing a growing body of research indicating that most high‐growth entrepreneurial firms are “one hit wonders,” this article leverages Canadian survey and administrative data to investigate the relationship between recent entrepreneurial income and growth barriers, on the one hand, and the growth intentions of established firms, on the other. We draw on the theory of planned behavior to develop hypotheses on how salient information resulting from entrepreneurial experience may shape growth intentions. As anticipated, we find that higher incomes negatively associate with intentions. The picture for barriers is more mixed, such that recently experienced human resources and financial barriers positively associate with growth intentions and barriers related to competition and regulations negatively associate with intentions. The implications for policy and for further research are discussed.Managerial SummaryOur study investigates factors associated with growth expectations among small firms, utilizing descriptive and multivariate analyses. In doing this, we extend the theory of planned behavior into a study of established firms, recognizing that intentions are dynamic and will be shaped by experience of entrepreneurship. Key findings indicate that past performance significantly affects future growth expectations, while higher personal income correlates with lower growth intentions, suggesting entrepreneurs become “satisficers” as income increases. In addition, perceptions of external barriers are negatively associated with future expectations, while internal barriers do not significantly hinder them. This result implies that entrepreneurs perceive external challenges as beyond their control, affecting their confidence in future growth.
Towards a Readiness Model for Usable‐Software Development in Organizations
Authors: Al‐Shammare Haifa , Alshayeb Mohammad , Baslyman Malak 
Published: November 2024

ABSTRACTContextPrioritizing usability in software development is vital to ensure a positive user experience and efficient performance. Failing to do so can result in negative consequences such as increased costs, damage to reputation, and loss of trust. Usability should be considered throughout the entire software development life cycle (SDLC), not just as an afterthought. Accordingly, adopting and integrating usability practices is crucial but can be complex. Thus, organizations must assess their readiness to start and improve usability initiatives. In this context, software organizations can benefit from using a usability readiness model to enhance integration and assist practitioners in systematically and structurally applying usability practices.ObjectiveWe propose a readiness model for usable software development (RMUSD). This model allows organizations to assess their readiness to create usable software, leading to improved user experience and better usability methods throughout the SDLC.MethodTo develop the RMUSD, we conducted a systematic mapping study that gathered 238 relevant studies in the usability engineering domain. From these studies, we synthesized 50 best usability practices that form the foundation of the RMUSD. We also drew inspiration from existing software engineering readiness and usability maturity models.ResultsThe RMUSD is built at five levels, each with various aspects to consider, such as related usability practices, implications, organizational characteristics, and success factors for moving up to the next level. The model was evaluated through two real‐world case studies and eight experts.ConclusionThe evaluation results reveal that the suggested RMUSD is practical in determining the organization's readiness to develop usable software.
Haemodynamic perspective of middle uterine artery in relation to delayed case of uterine torsion in Jersey cow
Authors: Sharma Pururava , Sharma Akshay , Sood Pankaj , Kumar Pravesh , Sharma Jahanvi , Yangka Dawa , Dhiman Alisha 
Published: November 2024

AbstractUterine torsion is a severe obstetric complication in cattle that poses significant challenges requiring prompt diagnosis and intervention to mitigate maternal and fetal risks. This case report investigates a week‐old uterine torsion in a Jersey cow, emphasising haemodynamic assessment and celiotomy. A 7‐year‐old Jersey cow in her third pregnancy presented with clinical signs suggestive of uterine torsion. Haemato‐biochemical parameters revealed normocytic‒normochromic anaemia, mild neutrophilia and elevated creatinine levels. Trans‐rectal palpation confirmed post‐cervical (anterior vagina) right side (clockwise) uterine torsion (>180°), trans‐rectal sonography demonstrated degenerative changes in placentomes, increased endometrial echogenicity and uterine adhesions. Additionally, haemodynamic assessment via Doppler ultrasonography of middle uterine arteries revealed compromised vascular perfusion. Surgical intervention via celiotomy involved a left paramedian approach, revealing fibrous adhesions and uterine haemorrhages. Caesarean section facilitated the removal of the deceased calf, followed by uterine repair. Following a caesarean section, the cow recovered without any complications.
First isolation of Leifsonia aquatica from a cat with pyothorax
Authors: Aydogdu Ugur , Baydar Ersoy , Unal Bilge Kaan , Ceylan Cengiz , Ilhan Ziya 
Published: November 2024

AbstractPyothorax is one of the most prevalent respiratory disorders affecting cats. In the case report, we aimed to reveal the clinical, ultrasonography and radiographic evidence in a cat with pyothorax, to identify bacteria from exudate obtained by thoracocentesis, and determine the antimicrobial susceptibility of the bacteria involved. Significant inflammatory patterns were seen in the blood, and the cat's radiographs indicated different outcomes. In this case, Leifsonia aquatica was isolated from purulent fluid obtained from a cat with pyothorax present. In the literature review, L. aquatica has not been reported to cause an infection in animals. In conclusion, our report gives further evidence of the capability of this aquatic bacterium to cause infections in animals.
The Home as a Site of Platformization
Authors: Mannell Kate , Hegna Kristinn , Stoilova Mariya 
Published: November 2024

AbstractChapter 3 investigates how processes of platformization play out in relation to the spaces and spatial arrangements of family life, focusing in particular on the idea of the home. Given that family life, including the meaning of the home, are constructed through relational practices and that these practices are increasingly platformized (that is, occurring through and in relation to platforms), this chapter asks: how is the platformization of the family reshaping and extending the home? Drawing on qualitative empirical data from our own projects and existing literature, we examine how platforms are implicated in family life within the physical space of the home and how platforms might be used to extend the idea of home beyond a physical space of co-location. We argue that, on one hand, the use of platforms reconfigures how the physical home is experienced by those within it—sometimes fracturing the idea of the home as a private space and other times supporting the practices of care, intimacy, and organisation that give it meaning as a home—while on the other, it extends relational practices beyond the physical boundaries of the home, opening up new possibilities for families to practice care and intimacy across distance.