bluuebunny/crossref_metadata_2025_split huggingface dataset:
Learning Pixel-wise Phase Unwrapping with Reinforcement Policy Gradient
Authors: Xu Jinjin 
Published: November 2024

Abstract

This paper presents a novel method for pixel-wise phase unwrapping utilizing reinforcement learning (RL), addressing significant limitations of traditional techniques. Conventional phase unwrapping methods often struggle with noise and discontinuities, which can hinder their effectiveness in practical applications such as optical imaging and interferometry. In contrast, our approach employs Proximal Policy Optimization (PPO) to train an intelligent agent capable of making pixel-wise decisions based on the observed data, optimizing phase recovery without the need for extensive labeled datasets. We thoroughly evaluate our method on a variety of datasets, including both real and synthetic InSAR radar echo data, demonstrating its effectiveness across different scenarios. The experimental results reveal significant improvements in both accuracy and robustness compared to existing supervised learning techniques. Furthermore, our work not only advances the state-of-the-art in phase unwrapping but also underscores the potential of RL in solving complex imaging tasks. By paving the way for future applications in optical imaging and advanced interferometry, our research opens new avenues for exploring the capabilities of machine learning in handling intricate imaging challenges, thereby contributing to the broader field of computational imaging.
A systematic exploration of mapping knowledge domains for influence of temperature on rock mechanics
Authors: Geng Chengwei , Xiong Fei , Xue Yi , Liu Yong , Zhang Yun , Xia Tongqiang , Ji Ming 
Published: November 2024

Abstract

To achieve a thorough understanding of the research advancements in the field of rock mechanical behavior under temperature effects, this study conducts a bibliometric analysis founded on 1,919 publications retrieved from the Web of Science Core Collection database spanning from 2008 to 2024. The analysis encompasses annual publication trends, geographical and institutional distributions, major source journals, subject areas, research repositories, and emerging hotspots and frontiers. Utilizing VOSviewer and CiteSpace software for data mining and visualization, knowledge graphs were generated. Temporal analysis reveals a transition from a slow developmental phase to an accelerated growth period, culminating in a rapid expansion phase. Notably, from 2014 to 2022, the volume of journal publications surged, indicating a peak in research activity on rock mechanics under temperature effects. Through keyword clustering and literature review, major research themes emerged, including rock behavior, high-temperature effects, and related high-frequency keywords. Analysis of the top ten frequently occurring keywords and their emergence over time revealed that key terms such as thermal damage, tensile strength, mechanical behavior, and thermal treatment have become central to recent research. These findings underscore current research hotspots and suggest future trends in the field. The paper concludes with a summary of recent methodologies and achievements in the study of rock mechanical behavior under temperature effects.
Multidimensional postpone-aging program for middle-aged and older females in China：An exploration and empirical study
Authors: Zhang Lang-lang , Yang Shan-lan , Huang He-lang , Liu Yong , Zou Kai-li , Wu Lei , Su Xiao-dong 
Published: November 2024

Abstract

Background
This study constructed multiple postpone-aging programme that include diet, lifestyle, health care products and beauty products in middle and old aged Chinese female, and verified results based on experimental evidence.
Methods
Multi stage cluster stratified sampling epidemiological survey was used to collect the PPSHAS aging measurement results and the information on diet type structure, behavior lifestyle, as well as the use of drugs, health products and beauty products of middle and old aged female in China. LR, DT and RF model was fitted and compared, and constructed postpone-aging programme. Aging markers such as content of IGF-1, content and activity of β-GAL and SOD in serum were detected to support the research.
Results
Aging measurements shows that 14.24% of subjects are significantly younger than chronological age, 45.58% are consistent, and 40.17% are significantly older. Through model performance comparison and verification, the RF model is relatively optimal, with precision of 82.64% and 80.62%, AUC of 0.894 and 0.892, accuracy rates of 82.80% and 89.78%, recall rates of 89.78% and 88.85%, F1 scores of 0.768 and 0.744, and Kappa index higher than the other two models in the test and validation set. Biological markers testing showed that SOD content and activity, IGF-1 content decrease with aging, while β-GAL activity increased (P<0.05). In the postpone-aging programme, the priority of variables from high to low is skin care product use, hobby duration, sleep time, lotion, eye cream, leafy vegetables, eggplant fruits, carbohydrates, water consumption, spices (importance 23.05 to 66.68).
Conclusion
The aging scores of middle and old aged Chinese female showed certain regular changes in chronological age and status age. The relatively optimized RF model constructed a three-dimensional postpone-aging programme, and LR and DT model also provided valuable information. The experimental evidence confirmed the ideality of the results.
The Role of E-Retailers in Modern Manufacturing: Insights from Agent-Based Simulations
Authors: Sohi Zahra Asadollahi , Raghfar Hossein 
Published: November 2024

Abstract

This study investigates the impact of e-retailers on manufacturers' production and sales dynamics through agent-based modeling and simulation. While traditional retailers have long dominated the retail sector, Industry 4.0 technologies and e-commerce platforms have introduced new dynamics. By comparing manufacturers connected to e-retailers with those linked to traditional retailers, this study highlights the effects on inventory and customer satisfaction in response to changing market conditions and evolving customer preferences, incorporating satisficing behavior. The experiments were conducted under various conditions and random parameter distributions. Manufacturers connected to e-retailers can access more information; however, our model indicates that the accuracy of their sales forecasting methods is crucial. The highest growth was observed in high-quality manufacturers using superior prediction methods and connected to e-retailers, especially when supply exceeded demand. The system became unpredictable when supply and demand were nearly equal. The findings emphasize the importance of e-retailers in reducing unsatisfied customers and inventory levels, alongside the critical role of accurate prediction methods. The model demonstrates the significance of using agent-based models in modern times, as they can capture the complexity of the system and emergent behaviors.
Intensive Short-Term Dynamic Psychotherapy for depression: Treatment effectiveness and effects of unlocking the unconscious
Authors: Johansson Robert , Eriksson Kajsa , Åberg Kalle , Town Joel , Abbass Allan 
Published: November 2024

Abstract

Intensive Short-Term Dynamic Psychotherapy (ISTDP) has an increasing amount of evidence regarding its efficacy across various psychiatric conditions and specifically with depression. The aim of this study is to replicate the findings of controlled research by examining the effects of ISTDP in the treatment of depression in a large naturalistic sample, and also to explore the mediating role of unlocking the unconscious in this treatment. Healthcare costs were also explored. Data were collected from a naturalistic study conducted at the Centre for Emotions and Health, Halifax, Nova Scotia, Canada, between 1999 and 2007. A sample of 195 patients' self-reported levels of depression, measured by the depression subscale of the Brief Symptom Inventory (BSI), and interpersonal problems, measured by the Inventory of Interpersonal Problems-32 (IIP-32), were analyzed using mixed-effects models. The analysis revealed a significant and large effect of ISTDP on both depression (within-group Cohen's d = 1.02, 95% CI [0.75, 1.26]) and interpersonal problems (within-group Cohen's d = 1.17, 95% CI [0.89, 1.46]). The process of unlocking the unconscious emerged as a significant mediator of treatment outcomes for both depression (between-group Cohen’s d = 0.60, 95% CI [0.16, 1.07]) and interpersonal problems (between-group Cohen’s d = 0.47, 95% CI [-0.05, 0.95]). Reductions in costs regarding physician (p = 0.07) and hospital costs (p < 0.05) were observed. These findings support the efficacy of ISTDP in treating depression and highlight the importance of unlocking the unconscious among patients with depression.
PENGEMBANGAN E-LKPD INTERAKTIF BERBASIS GUIDED DISCOVERY LEARNING PADA MATERI SEL UNTUK MENINGKATKAN PEMAHAMAN KOGNITIF SISWA KELAS XI
Authors: Manurung Hany Patitrya Octanty , Anazifa Rizqa Devi 
Published: November 2024

Penelitian ini bertujuan untuk mengembangkan media pembelajaran e-LKPD interaktif berbasis guided discovery learning yang dapat meningkatkan pemahaman kognitif siswa kelas XI SMA dan menilai validitas dan kelayakan media pembelajaran tersebut. Penelitian ini berdasarkan fakta bahwa pembelajaran biologi, terkhusus di jenjang SMA, memiliki banyak konsep teori dan variasi perangkat pembelajaran yang digunakan guru mayoritas masih menggunakan buku atau ppt dengan metode ceramah, sehingga membuat pembelajaran monoton yang dapat mempengaruhi pemahaman siswa. Jenis penelitian ini adalah penelitian pengembangan (RD) dengan model ADDIE, yang dimodifikasi menjadi 3 tahapan (ADD): Analisis, Desain, dan Pengembangan. Instrumen penelitian meliputi lembar pedoman wawancara, angket, soal tes, lembar penilaian, dan dokumentasi. Hasil temuan menunjukkan bahwa validasi ahli materi dan media menunjukkan persentase nilai yang keduanya termasuk dalam kategori "sangat baik". Uji coba terbatas menggunakan desain pretest-posttest one small group menunjukkan terdapat peningkatan pemahaman kognitif siswa ditinjau dari peningkatan rerata skor dari 34,9 pada pretest dan 71,8 pada nilai posttest. Selain itu, dilakukan juga analisis N-Gain score, uji-T, dan persepsi guru serta siswa terkait produk yang dikembangkan dapat disimpulkan bahwa E-LKPD Interaktif berbasis guided discovery learning pada materi struktur dan fungsi komponen sel untuk kelas XI SMA valid dan layak digunakan dalam proses pembelajaran untuk meningkatkan pemahaman kognitif siswa.
Effects of Message Framing on Human Papillomavirus Vaccination: Systematic Review
Authors: Gong Jie , Gu Dandan , Dong Suyun , Shen Wangqin , Yan Haiou , Xie Juan 
Published: November 2024

Background
With the advancement of cervical cancer elimination strategies, promoting human papillomavirus (HPV) vaccination is essential to achieving this goal. The issue of how to structure and develop message content to promote HPV vaccination is a debatable issue.

Objective
The efficacy of gain-loss framing in vaccination contexts is disputed. Our study aimed to elucidate the consequences of message framing on attitudes, intentions, and behavioral tendencies toward HPV vaccination, with the objective of refining message framing strategies and their elements.

Methods
This systematic review adhered strictly to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guideline reporting standards to comprehensively retrieve, extract, and integrate data. We searched databases, including PubMed, Embase, Scopus, and Web of Science, for literature published from database construction to August 15, 2023. Literature screening, data extraction, and quality evaluation were performed by 2 researchers. Intervention studies published in English, conducted with populations with children eligible for HPV vaccination, and involving message framing were included. Attitudes, intentions, and behaviors served as outcome evaluation criteria.

Results
A total of 19 intervention studies were included. Gain-loss framing had no clear effect on vaccination attitudes nor intentions. Loss framing showed a weak advantage at improving HPV vaccination attitudes or intentions, but the evidence was not strong enough to draw definitive conclusions. The impact of gain-loss framing on HPV vaccination behaviors could not be determined due to the limited number of studies and the qualitative nature of the analysis.

Conclusions
Combining gain-loss framing with other message framing approaches may be an effective way to enhance the effect of message framing. More high-quality message framing content and exploring alternative moderator or mediator variables are required to support the conclusion.

Trial Registration
CRD42023451612; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=451612
Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study
Authors: Trevena William , Zhong Xiang , Alvarado Michelle , Semenov Alexander , Oktay Alp , Devlin Devin , Gohil Aarya Yogesh , Chittimouju Sai Harsha 
Published: November 2024

Background
The implementation of large language models (LLMs), such as BART (Bidirectional and Auto-Regressive Transformers) and GPT-4, has revolutionized the extraction of insights from unstructured text. These advancements have expanded into health care, allowing analysis of social media for public health insights. However, the detection of drug discontinuation events (DDEs) remains underexplored. Identifying DDEs is crucial for understanding medication adherence and patient outcomes.

Objective
The aim of this study is to provide a flexible framework for investigating various clinical research questions in data-sparse environments. We provide an example of the utility of this framework by identifying DDEs and their root causes in an open-source web-based forum, MedHelp, and by releasing the first open-source DDE datasets to aid further research in this domain.

Methods
We used several LLMs, including GPT-4 Turbo, GPT-4o, DeBERTa (Decoding-Enhanced Bidirectional Encoder Representations from Transformer with Disentangled Attention), and BART, among others, to detect and determine the root causes of DDEs in user comments posted on MedHelp. Our study design included the use of zero-shot classification, which allows these models to make predictions without task-specific training. We split user comments into sentences and applied different classification strategies to assess the performance of these models in identifying DDEs and their root causes.

Results
Among the selected models, GPT-4o performed the best at determining the root causes of DDEs, predicting only 12.9% of root causes incorrectly (hamming loss). Among the open-source models tested, BART demonstrated the best performance in detecting DDEs, achieving an F1-score of 0.86, a false positive rate of 2.8%, and a false negative rate of 6.5%, all without any fine-tuning. The dataset included 10.7% (107/1000) DDEs, emphasizing the models’ robustness in an imbalanced data context.

Conclusions
This study demonstrated the effectiveness of open- and closed-source LLMs, such as GPT-4o and BART, for detecting DDEs and their root causes from publicly accessible data through zero-shot classification. The robust and scalable framework we propose can aid researchers in addressing data-sparse clinical research questions. The launch of open-access DDE datasets has the potential to stimulate further research and novel discoveries in this field.
Early Warning Systems for Acute Respiratory Infections: Scoping Review of Global Evidence
Authors: Patel Atushi , Maruthananth Kevin , Matharu Neha , Pinto Andrew D , Hosseini Banafshe 
Published: November 2024

BackgroundEarly warning systems (EWSs) are tools that integrate clinical observations to identify patterns indicating increased risks of clinical deterioration, thus facilitating timely and appropriate interventions. EWSs can mitigate the impact of global infectious diseases by enhancing information exchange, monitoring, and early detection.ObjectiveWe aimed to evaluate the effectiveness of EWSs in acute respiratory infections (ARIs) through a scoping review of EWSs developed, described, and implemented for detecting novel, exotic, and re-emerging ARIs.MethodsWe searched Ovid MEDLINE ALL, Embase, Cochrane Library (Wiley), and CINAHL (Ebsco). The search was conducted on October 03, 2023. Studies that implemented EWSs for the detection of acute respiratory illnesses were included. Covidence was used for citation management, and a modified Critical Appraisal Skills Programme (CASP) checklist was used for quality assessment.ResultsFrom 5838 initial articles, 29 met the inclusion criteria for this review. Twelve studies evaluated the use of EWSs within community settings, ranging from rural community reporting networks to urban online participatory surveillance platforms. Five studies focused on EWSs that used data from hospitalization and emergency department visits. These systems leveraged clinical and admission data to effectively detect and manage local outbreaks of respiratory infections. Two studies focused on the effectiveness of existing surveillance systems, assessing their adaptability and responsiveness to emerging threats and how they could be improved based on past performance. Four studies highlighted the integration of machine learning models to improve the predictive accuracy of EWSs. Three studies explored the applications of national EWSs in different health care settings and emphasized their potential in predicting clinical deterioration and facilitating early intervention. Lastly, 3 studies addressed the use of surveillance systems in aged-care facilities, highlighting the unique challenges and needs of monitoring and responding to health threats in environments housing vulnerable populations. The CASP tool revealed that most studies were relevant, reliable, and of high value (score 6: 11/29, 38%; score 5: 9/29, 31%). The common limitations included result generalizability, selection bias, and small sample size for model validation.ConclusionsThis scoping review confirms the critical role of EWSs in enhancing public health responses to respiratory infections. Although the effectiveness of these systems is evident, challenges related to generalizability and varying methodologies suggest a need for continued innovation and standardization in EWS development.
La experiencia turística de los guardaparques en Parque Nacional Los Glaciares y Parque Provincial Ischigualasto durante la pandemia por COVID-19
Authors: OYARZÚN VERA Marcos , ANDRADA Yamila , BONILLO Marcelo 
Published: November 2024

El presente estudio analiza el impacto de la pandemia mundial de COVID-19 en la actividad turística y las experiencias de los guardaparques en el Parque Nacional Los Glaciares y el Parque Provincial Ischigualasto, Argentina. Utilizando un enfoque cualitativo, se realizaron entrevistas en profundidad y análisis temático para explorar las vivencias y adaptaciones de los guardaparques durante este periodo. La investigación revela cómo la pandemia afectó no solo las operaciones de los parques, sino también el bienestar emocional y laboral de los guardaparques.

Se identificaron estrategias clave de adaptación, como la implementación de medidas de prevención, el mantenimiento de áreas protegidas y la utilización de capacitaciones virtuales. Además, se destacó la importancia de la resiliencia organizacional y la colaboración entre diferentes actores para mitigar los efectos negativos de la crisis. Los resultados sugieren que, a pesar de los desafíos, los guardaparques mostraron una notable capacidad de adaptación y un compromiso continuo con la conservación y la gestión sostenible de los parques.

El estudio subraya la necesidad de fortalecer el apoyo institucional, especialmente en términos de apoyo psicológico, y fomentar la innovación en la gestión de áreas protegidas para enfrentar futuras crisis. Se concluye que la pandemia ofreció una oportunidad para reflexionar y mejorar las prácticas de gestión en áreas protegidas, destacando la importancia de la sostenibilidad y la conservación ambiental en el contexto del turismo.
La littérature garciamarqueana à partir d’une approche féministe et décoloniale
Authors: Candela Montoya Sara 
Published: November 2024

Dans cet article nous analysons la représentation de la femme noire et racisée, en tant que figure de l’exclusion, dans la littérature de Gabriel García Márquez. Cela à travers de plusieurs personnages secondaires qui traversent ses nombreuses nouvelles ainsi que ses romans les plus connus comme Cent ans de solitude (1967), Amour aux temps du choléra (1985), De l’amour et autres démons (1994) et Mémoires de me putains tristes (2004). Dans ce dernier ouvrage, publié peu avant la mort de l’auteur, Delgadina, une enfant-adolescente prostituée de la Carthagène des Indes contemporaine, occupe une place importante. En effet, abordé à partir de la sociologie de la littérature, ce personnage en papier permet d’entrevoir la corrélation entre discours et performativité, entre langage littéraire et acte de langage. Les correspondances entre les « corps textes » et les « corps organiques » des femmes afro-colombiennes, mettent ainsi en évidence les dynamiques racialisantes et sexualisantes qui caractérisent à la fois l’espace littéraire fictionnel et l’espace social concret. Le langage littéraire, et l’autorité discursive qu’il véhicule, est aussi un lieu à partir duquel les femmes racisées dé-re-construisent leurs identités, d’où l’importance de l’étudier afin de comprendre la manière dont les stéréotypes ont circulé et continuent de circuler dans la Colombie du XXIe siècle. Cette étude correspond à une partie de ma thèse doctorale, elle est menée depuis une réflexion multidisciplinaire, axée sur les études culturelles, les études de genre et les apports théoriques du féminisme décolonial et du Black feminism, dont l’intersectionnalité est un prisme analytique central. Cette tâche résulte complexe, voire polémique. Cependant, tout en reconnaissant le génie et la virtuosité des productions littéraires dites classiques ou canoniques, il est aujourd’hui important d’établir une critique littéraire décoloniale et dépatriarcale de ces grandes œuvres pour la majorité écrites à partir d’une position située masculine, blanche-métisse et occidental.isée. À maints égards, c’est le cas de l’œuvre de Gabriel García Márquez, écrivain emblématique de la Colombie, représentatif du courant littéraire du Réalisme magique, prix Nobel en 1982 et auteur d’un des livres les plus lus au monde : Cent ans de solitude.