bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and Implementation of a Personal Virtual Assistant for Patient Engagement and Communication in Postsurgical Cancer Care: Feasibility Cohort Study
Authors: Bargas-Ochoa Miguel , Zulbaran-Rojas Alejandro , Finco M G , Costales Anthony B , Flores-Camargo Areli , Bara Rasha O , Pacheco Manuel , Phan Tina , Khichi Aleena , Najafi Bijan 
Published: December 2024

Abstract

Background
Cancer-care complexity heightens communication challenges between health care providers and patients, impacting their treatment adherence. This is especially evident upon hospital discharge in patients undergoing surgical procedures. Digital health tools offer potential solutions to address communication challenges seen in current discharge protocols. We aim to explore the usability and acceptability of an interactive health platform among discharged patients who underwent oncology-related procedures.

Methods
A 4-week exploratory cohort study was conducted. Following hospital discharge, a tablet equipped with an integrated Personal Virtual Assistant (PVA) system was provided to patients who underwent oncology-related procedures. The PVA encompasses automated features that provide personalized care plans, developed through collaboration among clinicians, researchers, and engineers from various disciplines. These plans include guidance on daily specific assignments that were divided into 4 categories: medication intake, exercise, symptom surveys, and postprocedural specific tasks. The aim was to explore the acceptability of the PVA by quantification of dropout rate and assessing adherence to each care plan category throughout the study duration. The secondary aim assessed acceptability of the PVA through a technology acceptance model (TAM) questionnaire that examined ease of use, usefulness, attitude toward use, and privacy concerns.

Results
In total, 17 patients were enrolled. However, 1 (5.8%) patient dropped out from the study after 3 days due to health deterioration, leaving 16/17 (94.2%) completing the study (mean age 54.5, SD 12.7, years; n=9, 52% Caucasian; n=14, 82% with a gynecological disease; n=3, 18% with a hepatobiliary disease). At the study end point, adherence to care plan categories were 78% (SD 25%) for medications, 81% (SD 24%) for exercises, 61% (SD 30%) for surveys, and 58% (SD 44%) for specific tasks such as following step-by step wound care instructions, managing drains, administering injectable medications independently, and performing pelvic baths as instructed. There was an 80% patient endorsement (strongly agree or agree) across all TAM categories.

Conclusion
This study suggests the potential acceptability of the PVA among patients discharged after oncology-related procedures, with a dropout rate of less than 6% and fair-to-good adherence to tasks such as medication intake and exercise. However, these findings are preliminary due to the small sample size and highlight the need for further research with larger cohorts to validate and refine the system.
Effectiveness of Digital Mental Health Interventions in the Workplace: Umbrella Review of Systematic Reviews
Authors: Cameron Gillian , Mulvenna Maurice , Ennis Edel , O'Neill Siobhan , Bond Raymond , Cameron David , Bunting Alex 
Published: December 2024

Background
There is potential for digital mental health interventions to provide affordable, efficient, and scalable support to individuals. Digital interventions, including cognitive behavioral therapy, stress management, and mindfulness programs, have shown promise when applied in workplace settings.

Objective
The aim of this study is to conduct an umbrella review of systematic reviews in order to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting.

Methods
A systematic search was conducted to identify systematic reviews relating to digital interventions for the workplace, using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis). The review protocol was registered in the Open Science Framework. The following databases were searched: PubMed, Web of Science, MEDLINE, PsycINFO, and Cochrane Library. Data were extracted using a predefined extraction table. To assess the methodological quality of a study, the AMSTAR-2 tool was used to critically appraise systematic reviews of health care interventions.

Results
The literature search resulted in 11,875 records, which was reduced to 14 full-text systematic literature reviews with the use of Covidence to remove duplicates and screen titles and abstracts. The 14 included reviews were published between 2014 and 2023, comprising 9 systematic reviews and 5 systematic reviews and meta-analyses. AMSTAR-2 was used to complete a quality assessment of the reviews, and the results were critically low for 7 literature reviews and low for the other 7 literature reviews. The most common types of digital intervention studied were cognitive behavioral therapy, mindfulness/meditation, and stress management followed by other self-help interventions. Effectiveness of digital interventions was found for many mental health symptoms and conditions in employee populations, such as stress, anxiety, depression, burnout, and psychological well-being. Factors such as type of technology, guidance, recruitment, tailoring, and demographics were found to impact effectiveness.

Conclusions
This umbrella review aimed to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting. Despite the low quality of the reviews, best practice guidelines can be derived from factors that impact the effectiveness of digital interventions in the workplace.

Trial Registration
OSF Registries osf.io/rc6ds; https://doi.org/10.17605/OSF.IO/RC6DS
Is ‘Say-on-Pay’ the Most Reasoned Approach to Executive Remuneration Accountability?: An Assessment of the Meaningfulness of UK and US ‘Say-on-Pay’ Frameworks
Authors: Sarhan Zainab 
Published: December 2024

This essay aims to contribute to the ongoing debate on the meaningfulness of ‘say-on-pay’ on the remuneration report as a corporate governance mechanism that aims to limit excessive executive remuneration and the harmfulness manifested by it in the UK and US. This will be achieved by contending that while this development in corporate governance has the potential to reduce the level of overly-exaggerated compensation packages, a greater emphasis needs to be placed on striking a balance between income fairness and aligning the interests of managers with shareholders to reduce overall agency costs. This argument will be made on the grounds that the current say-on-pay frameworks in the UK and the US are not only ineffectively designed, but also ineffectively utilised, given the observed low levels of voting dissent on remuneration policy.
How Index Fund Ownership and Earnings Guidance Frequency Influence Managerial Myopia
Authors: Gale Brian T. , Grant Stephanie M. , Kamrath Brad G. , Hodge Frank D. 
Published: December 2024

ABSTRACT
Managerial myopia imposes significant costs on firms, stakeholders, and the overall economy. Research suggests that both a firm’s shareholder base and the frequency of its earnings guidance influence myopia. Shareholder bases have undergone significant changes in recent years as index fund ownership supplants long-term shareholder ownership, yet it is unclear how the growth of index funds affects managerial myopia. We experimentally examine how index fund ownership influences managers’ myopia, and how these effects vary based on firms’ earnings guidance frequency. Consistent with prior research, results show that the likelihood of myopic decision-making increases as earnings guidance frequency increases. Results also show that the likelihood of myopic decision-making increases as index funds replace long-term shareholders, but only for managers who provide frequent earnings guidance. Our results suggest that eliminating frequent earnings guidance to help curtail myopia may become even more important as index fund ownership grows and supplants long-term shareholder ownership.
JEL Classifications: M41; G11; G31; C91; D83.
Customer Shopping Behavior and the Persistence of Revenues and Earnings
Authors: Jin Hengda , Stubben Stephen R. , Ton Karen 
Published: December 2024

ABSTRACT
Using GPS location data from customers’ mobile devices, we develop measures of customer shopping behavior intended to capture the likelihood that customers will shop again in the future, and we examine their associations with firms’ financial decisions and outcomes. We measure customers’ propensity to return using the frequency, distance, duration, and timing of their past visits to a firm’s retail locations. We find a positive association between customers’ propensity to return and the persistence of the firm’s revenues and earnings. We also find a positive association between customers’ propensity to return and the efficiency of investing and operating decisions among firms likely to incorporate customer data into their internal information systems. Our results illustrate conditions under which revenues and earnings are sustainable and when managerial decisions are consistent with insights provided by customer information.
Data Availability: Data are available from the public sources cited in the text.
JEL Classifications: M31; M41; G14; G31.
Risk of Nephrolithiasis Associated With SGLT2 Inhibitors Versus DPP4 Inhibitors Among Patients With Type 2 Diabetes: A Target Trial Emulation Study
Authors: Shin Anna , Shin Ju-Young , Kang Eun Ha 
Published: December 2024

OBJECTIVE
We aim to compare the risk of nephrolithiasis among type 2 diabetes patients who initiated sodium–glucose cotransporter 2 inhibitors (SGLT2is) versus dipeptidyl peptidase 4 inhibitors (DPP4is), individually within stone never- and ever-formers.

RESEARCH DESIGN AND METHODS
Using the 2010–2021 Korea National Health Insurance Service database, we conducted a population-based cohort study, comparing initiators of SGLT2is versus DPP4is. The primary outcome was incident nephrolithiasis. Osteoarthritis encounters served as a negative control outcome. After 1:1 propensity score (PS) matching in stone never- and ever-formers, pooled and individual hazard ratios (HRs), incidence rate difference (IRD), and 95% CIs were reported. Subgroup analyses by sex, age, thiazide co-use, and baseline cardiovascular risk were done.

RESULTS
The 17,006 PS-matched pairs of SGLT2i and DPP4i initiators were pooled from stone never-formers (105,378 pairs) and ever-formers (11,628 pairs). Over a mean of 654 days, the risk of nephrolithiasis was lower in SGLT2i initiators than in DPP4i initiators: 0.65 vs. 1.12 events per 100 person-years, HR 0.54 (95% CI, 0.50–0.57), IRD −0.46 (95% CI, −0.21 to −0.52). Among never-formers, the HR was 0.43 (95% CI, 0.39–0.48) and IRD was −0.32 (95% CI, −0.27 to −0.36). Among ever-formers, the HR was 0.64 (95% CI, 0.59–0.69) and IRD was −2.26 (95% CI, −1.77 to −2.76). Near-null associations were found for osteoarthritis encounters. Results were consistent across subgroups.

CONCLUSIONS
We found a lower risk of nephrolithiasis associated with SGLT2is versus DPP4is in stone never- and ever-formers. Despite a greater relative risk reduction in the former, the absolute risk reduction was greater in the latter.
Quality Characteristics of Functional Beverages from Moringa Leaf Juice with the Addition of Red Ginger Juice and Sucralose
Authors: Amelia Julfi Restu , Syafitri Bella Roslia 
Published: December 2024

Moringa functional drink is well known for its benefits for health but has weaknesses in the form of sensory value in aroma and taste, so the addition of red ginger juice and sucralose is necessary. The research aims to determine the quality characteristics of functional drink, which is added with varying concentrations of red ginger juice and sucralose and reviewed based on its physical, chemical, microbiological, and organoleptics. Completely Randomized Design (CRD) was used for research design with two factors and two replications: red ginger juice (30%, 40%, and 50%) and sucralose (100 ppm, 150 ppm, and 200 ppm). The ANOVA showed significantly different results (α = 0.05) for total dissolved solids, antioxidant activity values, and organoleptic tests. The best treatment was obtained by adding a concentration of 40% red ginger juice and 150 ppm sucralose, with a total dissolved solids value of 4.97˚Brix, an IC₅₀ antioxidant activity value of 46 ppm indicating very strong antioxidant activity, the hedonic test score was in score range of 4 for color and 5 for aroma and taste. The metals contamination is below the threshold, the total plate number is <1×10³ colonies/ml, and the yeast mold number is <1×10² colonies/ml. Keywords: Antioxidant, Functional, Moringa, Red Ginger, Sucralose.
Pengaruh Panjang Lengkung Sudu terhadap Performa Turbin Angin Atap Rumah
Authors: Mujiburrahman Mujiburrahman 
Published: December 2024

Pemanfaatan energi angin sebagai sumber energi terbarukan semakin penting dalam upaya mengurangi ketergantungan pada bahan bakar fosil dan memitigasi dampak perubahan iklim. Turbin angin atap rumah menawarkan solusi yang menjanjikan untuk produksi energi skala kecil di lingkungan perkotaan. Namun, efisiensi dan performa turbin ini sangat bergantung pada desain sudu yang optimal. Penelitian ini bertujuan untuk mengoptimalkan desain turbin angin atap rumah melalui analisis pengaruh variasi panjang lengkung sudu terhadap performa turbin. Metode penelitian melibatkan pengujian eksperimental pada turbin angin dengan tiga variasi Panjang lengkung sudu 5/16, 6/16, dan 7/16 pada empat kecepatan angin yang berbeda 3,48 m/s sd 6,21 m/s). Parameter yang diukur adalah kecepatan putaran turbin rpm, dan daya generator Watt. Hasil penelitian menunjukkan bahwa panjang lengkung sudu 6/16 secara konsisten memberikan performa optimal pada empat kecepatan angin yang diuji. Pada kecepatan angin 6,21 m/s, panjang sudu 6/16 menghasilkan kecepatan putaran tertinggi 228,71 rpm, dengan daya sebesar 154,62 Watt. Peningkatan kecepatan angin dari 3,48 m/s sd ke 6,21 m/s menghasilkan peningkatan signifikan pada kecepatan putaran dan daya untuk semua variasi panjang sudu. Penurunan performa pada panjang sudu 7/16 mengindikasikan adanya batas optimal dalam desain.
Os direitos fundamentais da pessoa com AIDS/HIV: uma análise constitucional e social frente a discriminação
Authors: Santos Maxuel Correa dos , Rockemback Ana Claudia 
Published: December 2024

O presente trabalho aborda os desafios enfrentados na aplicabilidade dos direitos fundamentais das pessoas vivendo com HIV/AIDS, destacando a discriminação como obstáculo significativo. Ao examinar a literatura e as evidências empíricas, identifica-se que há um estigma associado às pessoas vivendo com HIV/AIDS em diversas esferas da sociedade, resultando em marginalização, exclusão social e violações dos direitos humanos e fundamentais. Diante disso, o primeiro tópico discutirá os conceitos principais, tratados internacionais assinados pelo Brasil, a Constituição Federal de 1988 e outras leis sobre os direitos das pessoas com HIV. Em seguida, o segundo tópico analisará os mecanismos sociais que perpetuam o estigma e a discriminação contra grupos-chave, destacando os obstáculos para a concretização desses direitos. E por fim, o terceiro tópico examinará os principais impedimentos institucionais, legais e culturais à integração dos soropositivos na sociedade brasileira, incluindo decisões judiciais relevantes. Ao examinar os julgados, verifica-se a importância de uma abordagem judicial sensível às condições de vulnerabilidade e à proteção dos direitos fundamentais. Será utilizada uma metodologia de pesquisa qualitativa, com um estudo da literatura servindo como ênfase principal. Esta abordagem implicará um exame crítico e metódico do conjunto de pesquisas sobre os direitos das pessoas vivendo com HIV/AIDS no Brasil, incluindo trabalhos acadêmicos, documentos jurídicos, jurisprudência, relatórios de organizações internacionais e outras fontes pertinentes. Conclui-se que, para garantir a efetiva aplicabilidade dos direitos das pessoas soropositivas, é fundamental um compromisso coletivo em combater a intolerância. Além disso, é necessária uma abordagem baseada nos direitos fundamentais para enfrentar o tabu.
Research on Regional Technological Innovation and Human Capital Investment by Public Library Construction
Authors: Li Ping , Gao Jiacheng 
Published: December 2024

Abstract
The construction of public libraries is an important part of China’s 14th Five Year Plan. Based on the global DEA-CCR and DEA-BCC to measure the efficiency of technological innovation and human capital investment, we evaluated the level of public library construction through entropy weight method. Through the impulse response analysis of the coordinated development of technological innovation and human capital investment by using the VAR model. The study conclusively demonstrates that public library construction significantly propels the synergy between technological innovation and human capital investment.
Performance Assessment and Optimization of Bird Prevention Devices for Transmission Lines Based on Internet of Things Technology
Authors: Zhaoguo Xu , Zhenhua Zhang , Yi Wang 
Published: December 2024

Abstract
Birds nest, inhabit and fly near transmission lines, which may cause serious power accidents. Aiming at the problems of false alarm, false alarm and insufficient system stability in traditional bird prevention devices, a new bird prevention device scheme combining deep learning and Internet of Things (IOT) technology is proposed in this study. Methods: In this study, firstly, the convolutional neural network (CNN) algorithm based on deep learning is used to recognize bird images, and the recognition accuracy is improved by training a large number of samples. In addition, multi-sensor fusion and real-time data transmission are realized by using IOT technology, which enhances the intelligence and remote monitoring ability of the system. The results show that the optimized bird prevention device has significantly improved the accuracy of bird detection, recall and system stability. Compared with the traditional algorithm, the false alarm rate and false alarm rate are greatly reduced, and the processing speed of the system is accelerated, and it can keep stable operation for a long time. This achievement provides a strong support for the safety protection of electric power system (EPS), and also provides a new idea for the research and development of bird prevention devices in the future.
The Role of Virtual Reality Platforms in Skills and Career Development of Higher Education Students: An Empirical Analysis Based on Metaverse Technology
Authors: Gao Renjie , Liu Mingguo 
Published: December 2024

Abstract
This study investigates the influence of metaverse technology on higher education, focusing on students in digital creative programs at Shenzhen Polytechnic University. By employing cluster analysis and regression analysis, the research evaluates student satisfaction, technology acceptance, and career impact. Findings indicate that metaverse platforms significantly enhance students’ creativity, practical skills, and job opportunities. Using the K-means clustering algorithm, four distinct student groups are identified based on their acceptance levels. The study provides insights for universities to optimize metaverse platform management, enhance technology adoption, and offer personalized support, ultimately improving learning outcomes and career development.
Analysis of the Impact of the Integration of Foreign Trade and Digital Economy on the Economic Resilience of the Yangtze River Delta Region Based on Deep Learning
Authors: Hu Hui 
Published: December 2024

Abstract
The rapid integration of foreign trade and the digital economy has played a significant role in influencing economic resilience, particularly in the Yangtze River Delta, a key economic region in China. In this paper, we propose a deep learning-based approach to evaluate the impact of the integration of foreign trade and digital economy on regional economic resilience. The model is built using an improved convolutional neural network with residual blocks designed to handle complex regional economic data. By incorporating multiple convolutional layers, dropout, and batch normalization, the model effectively extracts non-linear features and prevents overfitting, offering a robust framework for prediction. The model is trained on a large dataset of economic indicators from the Yangtze River Delta, and the results demonstrate a significant improvement in predictive accuracy compared to traditional methods. This study provides actionable insights for policymakers to strengthen regional economic stability in the face of globalization and digital transformation.
Research on Evaluation and Enhancement of Effectiveness under Intelligent Transformation of Ideological and Political Education in Colleges and Universities
Authors: Zang Xiaoming 
Published: December 2024

Abstract
This paper takes the results of the practice of intelligent construction of intelligent Civics teaching mode in colleges and universities as the theoretical basis and constructs the evaluation system of the effectiveness of intelligent Civics teaching based on the dynamic clustering-gray correlation entropy method. The original data are standardized by the method of polar deviation to determine the association coefficient of the evaluation subject, and according to the clustering process, the clustering order table is listed to realize the construction of the association matrix. F-statistics determine the optimal threshold to prevent human subjective factors from affecting the clustering results. The rough set theory is used as a mathematical tool for data analysis and processing, and the screening of indicators is completed through the approximation of indicators, and the corresponding index system for the evaluation of wisdom and politics is established. The index system is applied to the actual evaluation of the quality of intelligent civics teaching to analyze its practical effects. The results show that the proportion of all the indicators in the evaluation index system of intelligent Civics teaching constructed in this paper that have been evaluated as more important or above ranges from 80% to 100%. Civics teachers’ mining of the elements of Civics, the extension of teaching content, and teaching content delivery are improved by 54.96%, 48.39%, and 45.07%, respectively, after the transformation of the intelligentized mode, and the quality of teaching has been significantly improved.
Attachment – Emotions Which Shape Development and Well-Functioning in Humans
Authors: Pop-Jordanova Nada 
Published: December 2024

Abstract
Attachment is the evolutionarily-established process through which humans create bonds with others in order to receive care from them.
The attachment system is treated as an emotion regulation device as well as a major stress regulatory system. The intergenerational transmission of attachment is one of the core hypotheses of attachment theory. As a new category, cultural attachment was established, referring to processes that allow culture and its symbols to provide psychological security when and individual is facing threat.
Additionally, emotions and feelings could be comprised as "somatic markers" which act as signals guiding behaviour towards beneficial outcomes. Thus emotions are very important not only in everyday functioning but also in decision making processes.
Relying on multidisciplinary evidence – from neuroscientific, developmental, evolutionary, and clinical sources it was suggested that somaticity, as a specific characteristic of attachment, has the adaptive function to modulate our inclination.
In this context, the attachment is confirmed to indispensable emotion in human functioning.