bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mathematical Analysis and Topology Derivation for a Family of Novel Dual Output High‐Voltage Gain Z‐Source Converter for Renewable Energy Application
Authors: Gupta A. , Joshi D. 
Published: November 2024

ABSTRACTThis paper presents a family of multiport Z‐source converters with minimal number of switches and passive components. The paper focuses on the development of a novel converter and its methodology for selecting the topology of common ground/noncommon ground Z‐source DC–DC single‐input dual‐output configurations, aimed at higher power density, enhancing operational efficiency, size, cost, and centralized power management across multiple ports. In comparison to conventional Z‐source single input single output converters, this design achieves high‐voltage conversion rates while concurrently delivering two distinct outputs with and without common ground, rendering it particularly advantageous for electric vehicle and isolated microgrid applications with renewable energy integration. The proposed converters undergo comprehensive analysis and comparison across various potential configurations. Specifically, configurations yielding equivalent output voltages are prioritized, facilitating their utility in multilevel inverter applications. The assessment encompasses the determination of maximum efficiency; voltage stresses on capacitors, diodes, and switches; inductor currents; and ripples under diverse loads and duty cycles for all configurations. Experimental results are provided to showcase the validity and capabilities of these converters. As research efforts on converter topologies continue to grow, it is expected that this paper will enhance comprehension of multiport Z‐source converter topologies ideas for numerous applications.
Orchards and paddy differentially impact rock outcrop amphibians: Insights from community‐ and species‐level responses
Authors: Jithin Vijayan , Rane Manali , Watve Aparna , Naniwadekar Rohit 
Published: November 2024

AbstractWith agricultural demands increasing globally, determining the nature of impacts of different forms of agriculture on biodiversity, especially for threatened vertebrates and habitats, is critical to inform land management. This is especially true for open ecosystems such as the natural rock outcrops and amphibians, both of which are threatened by land‐use change. Lateritic plateaus of the northern Western Ghats are rock outcrop ecosystems harboring endemic biodiversity. Since most of these plateaus are located outside protected areas and officially classified as wastelands, they are rapidly lost due to multiple human pressures, including agriculture. We compared amphibian composition, diversity, and species responses across these rocky plateaus (hereafter plateaus), orchards, and rice paddy in the Western Ghats‐Sri Lanka biodiversity Hotspot, India. We sampled 50 belt transects across four geographically separated plateaus, covering three land‐use classes in three of the plateaus, and recorded information on amphibians and their microhabitats. Each transect was sampled four times across the rainy season. We compared responses of amphibians across three land‐use categories at the community level using Hill numbers, beta‐diversity measures, and nonmetric multidimensional scaling, and at the species level using joint species distribution modeling. Converting plateaus to paddy and orchards significantly altered microhabitat availability by reducing the rock pool habitat availability in paddy and orchards, and increased deep, water‐submerged areas and grass cover in paddy. Conversion to paddy mostly had species‐ and community‐level impacts, that is, lowered species occurrence of certain species, lowered species richness, and more nested communities, whereas conversion to orchards mostly had species‐level impacts, that is, lowered species occurrence, highlighting that different forms of agriculture have varying impacts on amphibians that can be determined by examining community‐ and species‐level effects simultaneously. Using only community‐ or species‐level metrics would not have unraveled these impacts completely. We show that large rock pools are critical microhabitats for frogs, most likely serving as refugia and protecting frogs from desiccation during dry spells in monsoons. Since Indian lateritic plateau habitats in low elevations are rapidly being converted to orchards, efforts are needed to conserve them in partnership with local communities, the custodians of these habitats.
Machine learning‐based prediction of elevated N terminal pro brain natriuretic peptide among US general population
Authors: Mori Yuichiro , Fukuma Shingo , Yamaji Kyohei , Mizuno Atsushi , Kondo Naoki , Inoue Kosuke 
Published: November 2024

AbstractAimsNatriuretic peptide‐based pre‐heart failure screening has been proposed in recent guidelines. However, an effective strategy to identify screening targets from the general population, more than half of which are at risk for heart failure or pre‐heart failure, has not been well established. This study evaluated the performance of machine learning prediction models for predicting elevated N terminal pro brain natriuretic peptide (NT‐proBNP) levels in the US general population.Methods and resultsIndividuals aged 20–79 years without cardiovascular disease from the nationally representative National Health and Nutrition Examination Survey 1999–2004 were included. Six prediction models (two conventional regression models and four machine learning models) were trained with the 1999–2002 cohort to predict elevated NT‐proBNP levels (>125 pg/mL) using demographic, lifestyle, and commonly measured biochemical data. The model performance was tested using the 2003–2004 cohort. Of the 10 237 individuals, 1510 (14.8%) had NT‐proBNP levels >125 pg/mL. The highest area under the receiver operating characteristic curve (AUC) was observed in SuperLearner (AUC [95% CI] = 0.862 [0.847–0.878], P < 0.001 compared with the logistic regression model). The logistic regression model with splines showed a comparable performance (AUC [95% CI] = 0.857 [0.841–0.874], P = 0.08). Age, albumin level, haemoglobin level, sex, estimated glomerular filtration rate, and systolic blood pressure were the most important predictors. We found a similar prediction performance even after excluding socio‐economic information (marital status, family income, and education status) from the prediction models. When we used different thresholds for elevated NT‐proBNP, the AUC (95% CI) in the SuperLearner models 0.846 (0.830–0.861) for NT‐proBNP > 100 pg/mL and 0.866 (0.849–0.884) for NT‐proBNP > 150 pg/mL.ConclusionsUsing nationally representative data from the United States, both logistic regression and machine learning models well predicted elevated NT‐proBNP. The predictive performance remained consistent even when the models incorporated only commonly available variables in daily clinical practice. Prediction models using regularly measured information would serve as a potentially useful tools for clinicians to effectively identify targets of natriuretic‐peptide screening.
Anorexia Nervosa in Comorbidity With Borderline Personality Disorder in Adolescence: A Specific Clinical Endophenotype?
Authors: Riva Anna , Brasola Eleonora , Sforza Sofia Elena , Marfone Mirella , Biso Francesco , Nacinovich Renata 
Published: November 2024

ABSTRACTObjectiveAnorexia nervosa and borderline personality disorder are often associated and share some core elements, including emotional dysregulation and affective instability. Nevertheless, the association of these two conditions in adolescence is still little studied.MethodThe present study aims at investigating, through a multidimensional assessment, the psychopathological characteristics of adolescents affected by anorexia nervosa in comorbidity with borderline personality disorder on a sample of 127 female adolescents, through the comparison with adolescents with borderline personality disorders and adolescents with anorexia nervosa. All participants completed a validated psychometric battery assessing alexithymia (Toronto Alexithymia Scale‐20), depression (Children's Depression Inventory), psychological symptoms (Symptom Checklist‐90–Revised) and psychological symptoms relevant in eating disorders (Eating Disorders Inventory‐3).ResultsAdolescents with anorexia nervosa in comorbidity with borderline personality disorder show intermediate features between the two disorders individually in the general psychopathological profile, but a peculiar psychological profile regarding the eating symptomatology, with worse features compared to adolescents with the sole anorexia nervosa.ConclusionsResults suggest a peculiar clinical and psychopatological endophenotype in adolescents with anorexia nervosa in comorbidity with borderline personality disorders, indicating the need to define specific and tailored treatment for this population.
Gender Differences in Job Requirements: Change Within Careers and Across Cohorts
Authors: Schwartz Shoshana , Cappelli Peter , Yang Yang 
Published: November 2024

ABSTRACTWe examine differences in jobs held by men and women based on a measure not used before, the standard human resources measures of “knowledge, skills, and abilities” generated by job analyses. While there is an abundance of evidence on gender disparities in pay, we know much less in detail about differences in the work men and women perform and especially how these differences have changed over time. We use nationally representative data for two cohorts of college graduates, one entering the post‐college workforce in 1994 and another in 2009, and we follow them for the first 10 years of their careers. We find that women generally held jobs with lower requirements relative to men. The gender gap in job requirements grew over the course of individuals' careers for the first cohort (1994–2003) but declined sharply for the second (2009–2018). We also find that among the second cohort, women received a wage premium for social skills that was greater than what men received.
Schistosomiasis Chemotherapy, Chemoprevention, and Vaccines: History, Progress, and Priorities
Authors: Alibrahim Alaa Oqalaa E. , Elkholy Walaa A. , El‐Derbawy Mona M. , Zahran Noha F. , Alexiou Athanasios , Papadakis Marios , Batiha Gaber El‐Saber 
Published: November 2024

ABSTRACTBackgroundSchistosomiasis is a major human disease of public health importance. Freshwater snails serving as intermediary hosts and human interaction with surface water tainted by feces or urine are both necessary components of the transmission cycle. Schistosoma haematobium, Schistosoma mansoni, and Schistosoma japonicum are the primary pathogen species. Over 250 million individuals are infected globally, according to the World Health Organization, causing significant morbidity and an estimated loss of 1.9 million disability‐adjusted life years, a number that is probably underestimated. Immunological protection is slowly built up through complex immunological systems, although innate factors also play a role. Chronic schistosomiasis affects mainly individuals residing in poor rural area. Vaccination is considered as one of the most sustainable options for the control of any pathogen, but schistosomiasis vaccine for humans or animals is not available till now despite the discovery of numerous potentially promising schistosome vaccine antigens.ObjectiveTo provide an overview of the schistosomiasis chemotherapy, chemoprevention, and vaccines history and progress.DesignReview article.Data SourcesPubMed, ISI Web of Science, Science Direct, and the World Health Organization database.ConclusionFavorably praziquantel (PZQ) is a medication with excellent chemopreventive treatment compliance. Due to the extensive usage of PZQ, there is a great deal of debate surrounding the emergence of drug resistance. PZQ is effective against all species of schistosomes, schistosomiasis prevalence has remained largely unaffected, due to reinfection in high transmission areas and growing juvenile worms that were not affected by the drug, even though the need for a schistosomiasis vaccine is even more pressing.
The Melliferous Potential of the Mountainous Region of Azad Kashmir, Pakistan: Pollen Profiling of Honey Using Microscopy
Authors: Mushtaq Ayesha , Khalid Sofia , Noor Mehwish Jamil 
Published: November 2024

ABSTRACTPollen content analysis of honey provides insight into the diversity of pollen grains and the development of a seasonal calendar to identify the diversity and availability of melliferous flora around the year. Melissopalynology is the most primitive and widely used technique for the qualitative and quantitative pollen profiling of honey. The honey of Azad Kashmir Pakistan has never been analyzed for pollen content despite the production at an industrial scale. A total of 60 samples were analyzed for the types and frequency of melliferous flora by the use of light microscopy and scanning electron microscopy. A wide diversity in morphological features differentiated 92 plant species belonging to 48 families. The most frequent plant families observed were Fabaceae, Poaceae, Asteraceae, Myrtaceae, Rosaceae, Betulaceae, and Buxaceae. Asteraceae showed the maximum species contribution. The obtained percentages of representative pollens were classified in frequency classes as follows: D: Predominant pollen (45%), S: Secondary Pollen (15%–45%), I: Important minor pollen (3%–15%), and M: Minor pollen (1%–3%). Most of the samples were multifloral containing not one dominant pollen, while one was bifloral containing two dominant pollen types and one was unifloral containing only one dominant pollen. The results reflect the melliferous potential of the native flora in the region. Indigenous floral resources from tropical vegetation to alpine meadows sustain bee colonies even during dearth periods. This work will benefit consumers, beekeepers, and regulatory bodies to maintain the authenticity of honey by the provenance of geographical and botanical origin.
Honey as a rare cause of severe anaphylaxis: Case report and review of literature
Authors: Steininger Julian , Heyne Stefanie , Abraham Susanne , Beissert Stefan , Bauer Andrea 
Published: November 2024

AbstractFood allergies are a significant health concern worldwide, with anaphylaxis being one of the most severe manifestations. This report describes a case of a 65‐year‐old male patient with recurrent grade III anaphylaxis of unknown origin. Through detailed diagnostic testing, a prick‐to‐prick test revealed an allergy to honey, identifying it as the trigger for his severe allergic reactions. Honey allergies are rare but often associated with sensitization to pollen from the Compositae family, to which our patient was also sensitized. Based on these findings, the patient was advised to strictly avoid honey and was provided with an emergency kit. To date, the patient experienced no further anaphylactic episodes.
Patterns of exposure of coyotes to anticoagulant rodenticides in California, USA
Authors: Stapp Paul , Mc Kenzie Ariana , Bucklin Danielle M. , Baldwin Roger A. , Quinn Niamh 
Published: November 2024

AbstractSecondary exposure to anticoagulant rodenticides (ARs) causes the death of mammalian predators and scavengers directly and indirectly through sublethal effects that reduce fitness. Poisoning by ARs has been proposed to be a significant source of mortality for coyotes (Canis latrans), a medium‐sized canid that thrives at the urban–wildland interface and may prey upon species targeted by pest control efforts. However, only 1 study, with a relatively small sample size, documented the prevalence of AR exposure in a free‐roaming coyote population. We quantified AR exposure in carcasses of 365 urban and suburban coyotes in southern California, USA, and compared AR prevalence and hepatic residue concentrations to those of 120 rural coyotes collected elsewhere in the state. For urban coyotes, we also examined demographic (sex, age, body mass, cause of death) and environmental factors (season, degree of urbanization, diet) that could influence the number of AR compounds and residue concentrations. Nearly all urban coyotes (98.1%) were exposed to at least 1 AR, compared to 41.7% of rural coyotes, and most individuals had residues of both first‐generation (FGAR) and the more potent second‐generation (SGAR) compounds, often at concentrations exceeding thresholds considered lethal in other mammals. Anticoagulant rodenticide exposure of urban coyotes did not vary by sex or season, but the number of compounds detected increased with mass, and adults tended to have residues of more compounds and at higher concentrations than juveniles, suggesting repeated and chronic exposure. Livers of road‐killed coyotes had higher SGAR concentrations than those euthanized as nuisance animals, which had lower SGAR concentrations in intensively urbanized areas. Concentrations of SGAR and FGAR residues were highest in suburban areas with natural open space and lower intensity development, and stable isotope values suggested that these coyotes were exposed to ARs by consuming commensal rodents and possibly mesocarnivores. In contrast, coyotes from urbanized areas had lower AR concentrations possibly because less AR is applied in these settings or because coyotes consumed foods with less AR, such as domestic cats and anthropogenic resources. Although some coyotes showed evidence of internal bleeding consistent with AR toxicosis and were in poorer body condition, there was no clear relationship between the extent of hemorrhaging and AR exposure. Despite statewide legislation to restrict their use and mitigate non‐target impacts, AR exposure remains ubiquitous in southern California and represents another stressor of urban life to which coyotes have successfully adjusted, making them a potential sentinel of environmental contamination.
Intertwining Between Online Retailer's Trustworthiness Attributes and Consumer's Purchase Intentions: A Knowledge Management Perspective in Response to COVID‐19
Authors: Atlas Fouzia , Khan Kashif Ullah , Khan Farhan 
Published: November 2024

ABSTRACTCOVID‐19, a black swan event which caused a long‐lasting effect on every sphere of human lives including consumers' perceptions and behaviors in e‐retailing to the extent that they might leave a mark even when the pandemic is over. The purpose of this study is to understand the critical dimensions of online retailer trustworthiness, which have an impact on consumer trust and consumer purchase intentions, as the success of organizations depends on the effective use of their knowledge management capabilities in the deadly situation of COVID‐19. The aim is to provide an insight into how retailers can handle this unprecedented situation, gain consumer trust, and use this customer knowledge to grow their businesses. The three dimensions of e‐service quality, website quality, customer service, security, and privacy demonstrate the online retailer's trustworthiness and better predict customer's trust behavior. Grounded in the Hofstede cultural dimensions' theory, this study is expected to extend our knowledge about the moderating effect of the cultural environment of trust on consumers' online purchase intentions during the COVID‐19 situation. Data were collected from 350 online consumers through a well‐structured questionnaire and used to test the proposed research model employing structural equation modeling. Results show that three attributes of e‐service quality convey the perception of the trustworthiness of retailers and affect consumers' overall trust in OP and subsequent purchase intentions.
The Effect of Disappointment Aversion on Risk Prevention
Authors: Yin Yongjin , Meng Shengwang 
Published: November 2024

ABSTRACTWe adopt three of well‐established models of disappointment aversion to study the effect of disappointment aversion on risk prevention which involves self‐insurance and self‐protection. In self‐insurance actions, we show that, in general, the disappointment‐averse decision maker will exert more effort than the standard risk‐averse decision maker, and the optimal efforts across these disappointment models are not identical. Moreover, under the Gul model, the disappointment‐averse decision maker may exert less effort than the standard risk‐averse decision maker in multiple loss states. In self‐protection actions, we provide a set of sufficient conditions under which the disappointment‐averse decision maker will exert more effort or less effort compared with the standard risk‐averse decision maker for each of these disappointment aversion models.
Stimulation‐Evoked Resonant Neural Activity in the Subthalamic Nucleus Is Modulated by Sleep
Authors: Wiest Christoph , Simpson Thomas G. , Pogosyan Alek , Hasegawa Harutomo , He Shenghong , Plazas Fernando Rodriguez , Wehmeyer Laura , Yassine Sahar , Guo Xuanjun , Shah Rahul , Merla Anca , Perera Andrea , Raslan Ahmed , O'Keeffe Andrew , Hart Michael G. , Morgante Francesca , Pereira Erlick A. , Ashkan Keyoumars , Tan Huiling 
Published: November 2024

AbstractBackgroundDeep brain stimulation is a treatment for advanced Parkinson's disease and currently tuned to target motor symptoms during daytime. Parkinson's disease is associated with multiple nocturnal symptoms such as akinesia, insomnia, and sleep fragmentation, which may require adjustments of stimulation during sleep for best treatment outcome.ObjectivesThere is a need for a robust biomarker to guide stimulation titration across sleep stages. This study aimed to investigate whether evoked resonant neural activity (ERNA) is modulated by sleep.MethodsWe recorded local field potentials from the subthalamic nucleus of four Parkinson's patients with externalized electrodes while applying single stimulation pulses to investigate the effect of sleep on ERNA.ResultsWe found that ERNA features change with wakefulness and sleep stages and are correlated with canonical frequency bands and heart rate.ConclusionsGiven that ERNA modulates with sleep, it could be used as a robust marker for automatic stimulation titration during sleep. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Which Messages Motivate Tax Compliance in Low Administrative Capacity Settings? Experimental Evidence From Two Mozambican Municipalities
Authors: von Schiller Armin 
Published: November 2024

ABSTRACTOver the past two decades, tax nudging has gained popularity as a method to boost tax compliance and help revenue authorities increase tax collection. However, most evidence on the effect of behaviourally informed tax letters comes from environments with high administrative capacity, which raises doubts about its generalizability. Against this background, this article tests the compliance effect of including messages that trigger deterrence or reciprocity beliefs in tax letters through a randomized controlled trial implemented in two mid‐sized Mozambican municipalities, Vilankulo and Dondo. Conducted in 2018, the experiment focuses on property taxation, a tax overwhelmingly perceived to perform well below its potential in many low‐ and middle‐income countries. The analysis relies on administrative data and exploits the complete universe of registered property tax taxpayers, including individuals and enterprises. The results indicate that (i) receiving a notification letter – not necessarily common practice in many contexts – has a significant positive impact on compliance; (ii) among enterprises, the message alluding to reciprocity backfires, while the most effective message to include generally is the one alluding to deterrence; and (iii) previously compliant taxpayers react negatively to the letter, regardless of the message included. These results carry relevant policy implications, indicating the large scope for behaviourally informed letters to help increase tax compliance, even in low administrative capacity settings.