bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transumbilical Laparoscopic-assisted Appendectomy (Tulaa) for Acute Appendicitis in Children: to Bury or Not to Bury the Appendiceal Stump? – a Retrospective Cohort Study
Authors: Mazzarolo Stella , Boscarelli Alessandro , Giangreco Manuela , Dobrinja Chiara , Codrich Daniela , Scarpa Maria-Grazia , Iaquinto Marianna , Peric-Anicic Matea , Olenik Damiana , Maita Sonia , Guida Edoardo , Schleef Jurgen 
Published: February 2025

Abstract

Introduction: Acute appendicitis is one of the most common surgical conditions in pediatric and general surgery. To date, the management of the appendiceal stump during appendectomy remains controversial. The purpose of this study was to retrospectively investigate the management strategies of acute appendicitis in a tertiary children’s hospital in terms of surgical techniques and time, hospital length of stay, and postoperative complications.
Methods: The records of patients < 18 years of age who were treated for acute appendicitis at our Pediatric Surgery Unit from December 2018 to January 2024 were retrospectively reviewed. Data were extrapolated from the departmental database, and clinical notes were reviewed.
Results: The records of 278 patients who underwent appendectomy within a 5-year period at our institution were essentially used to compare appendiceal stump inversion and simple ligation. The two groups were similar in terms of sex (P = 0.05), age (P = 0.40), weight (P = 0.78), and associated pathologies (P = 0.12). Statistical analysis revealed no significant differences in length of hospital stay (P = 0.21) and postoperative complications (P = 0.15). Notably, 78.6% of appendicitis cases treated without stump invagination were uncomplicated, whereas 20% were complicated (4.3% abscess and 15.7% peritonitis cases). In contrast, AS invagination was performed in 87% of uncomplicated appendicitis and 13.1% of complicated appendicitis cases (6.8% abscess and 6.3% peritonitis cases). Therefore, simple ligation was also effective in complicated appendicitis cases (P=0.03), with no significant difference in postoperative complications (P = 0.15).
Conclusions: Simple ligation does not compromise treatment efficacy nor increase postoperative complications, nor the length of hospital stay. Specifically, our data suggest that simple ligation is at least as effective as invaginating the appendiceal stump, and it might probably simplify the whole procedure.
Highly efficient field-free switching by orbital Hall torque in a MoS2-based device operating at room temperature
Authors: Bianco* Antonio , Ceccardi* Michele , Cecchini Raimondo , Marré Daniele , Barman Chanchal K. , Bernardini Fabio , Filippetti Alessio , Caglieris Federico , Pallecchi Ilaria 
Published: February 2025

Abstract

Charge-to-spin and spin-to-charge conversion mechanisms in high spin-orbit materials are the new frontier of memory devices. They operate via spin-orbit torque (SOT) switching of a magnetic electrode, driven by an applied charge current. In this work, we propose a novel memory device based on the semiconducting two-dimensional centrosymmetric transition metal dichalcogenide (TMD) MoS2, that operates as a SOT device in the writing process and a spin valve in the reading process. We demonstrate that stable voltage states at room temperature can be deterministically controlled by a switching current density as low as 3.2x104 A/cm2 even in zero field. An applied field ~50-100 Oe can be used as a further or alternative control parameter for the state switching. Ab initio calculations of spin Hall effect (SHE) and orbital Hall effect (OHE) indicate that the latter is the only one responsible for the generation of the SOT in the magnetic electrode. The large value of OHC in bulk MoS2 makes our device competitive in terms of energetic efficiency and could be integrated in TMD heterostructures to design memory devices with multiple magnetization states for non-Boolean computation.

*Antonio Bianco and Michele Ceccardi contributed equally to the work.
Study On The Application Effect Of Energy-based Solid Beverage in Nutritional Intervention for Peritoneal Dialysis Patients with Newly Placed Tubes
Authors: Deng Jia , Zeng Yilin , Ye Zhiming , Chen Dai , Wang Dan , Deng Lili , Jian Jinlian , Huang Yujun , Peng Jingjun 
Published: February 2025

Abstract

Objective: To explore the clinical effect of postoperative nutritional intervention using energy-based solid drinks for peritoneal dialysis patients with newly placed dialysis tubes.
Methods: Patients who underwent peritoneal dialysis tube placement in Guangdong Province people's hospital during 1 Aug 2022 to 31 Dec 2023 were taken as study subjects. Control group used traditional dietary education and intelligent software for home dietary supervision, and the experimental group added energy-based solid drinks on the basis of the control group, comparing the laboratory results and nutritional scores of the two groups at one month and three months after the intervention.
Result: The difference between the albumin and NRS2002 nutritional scores of the experimental group and the control group one month after the intervention was statistically significant ; the difference between the albumin, blood sodium and NRS2002 nutritional scores of the experimental group and the control group three months after the intervention was statistically significant .
Conclusion:Nutritional intervention with energy-based solid beverages in peritoneal dialysis patients with newly placed tubes can enhance patient nutrition in the three months.
Complexities and capabilities of Scan4Safety in NHS hospitals: a qualitative study of a national demonstrator site
Authors: Lichtner Valentina , Irnazarow Aleksandra , Bush Stephen , Dowding Dawn , Elphick Philip , Franklin Bryony Dean , Jani Yogini H , Songhurst Mark 
Published: February 2025

Abstract

Background: Data standards and barcoding technologies are implemented in hospitals to uniquely identify objects, people and locations, streamline the management of supplies and inventories, improve efficiency, reduce waste and improve patient safety and quality of care. The UK Department of Health & Social Care Scan4Safety demonstrator programme (2016-2019) had six hospitals adopt global data standards to address these aims. This study examined the implementation of Scan4Safety at one NHS demonstrator site to understand the hospital experience of adopting these standards, barcoding and related technologies.
Methods: Exploratory case study design, informed by information infrastructure theory, at one Scan4Safety demonstrator site. Semi-structured interviews were conducted with internal and external stakeholders, analysed thematically together with thematic analysis of documents related to the Scan4Safety programme.
Results: The NHS Trust Scan4Safety team was interviewed, together with senior roles in procurement, inventory, recalls management, nurses and surgeons (n=15), and senior roles in other demonstrator sites, NHS supplies, as well as GS1 - the organization responsible for the standards (n=4); 67 documents were analysed. Key enablers for Scan4Safety included: allocated funding, government role/regulation, executive buy-in/wide stakeholder involvement, patient focus, agile/adaptive approach and data linkage. Challenges were both internal and external, mainly pertaining to data quality, work-as-done, and trade-offs. Mechanisms of anticipated positive outcomes, and potential risks were also identified.
Conclusions: Linked standards for identification of patients, products, places, and procedures, across supplies and hospital processes, constitute a wide-ranging information infrastructure with the potential for significant value to patients and the whole health system.
Leadership Commitment and Organizational Culture Influence on Implementation of Good Governance in Improving Financial Information Systems Quality at the Regional Revenue Agency of West Java Province
Authors: Wihatmono Shantyo Raharjo , Suharman Harry , Daryanto Daryanto 
Published: February 2025

Abstract

This study aimed to determine the influencet of leadership commitment and organizational culture on the implementation of good governance in Improving the Quality of Financial Information Systems. The research sample was 126 people spread across four representative districts/cities, Samsat (One-stop Administrative System), and the West Java Province Regional Revenue Agency The results of the study indicated that there was a positive and significant influence of leadership commitment on the implementation of good governance in the West Java Province Regional Revenue Agency. Moreover, there was a positive and significant influence of the implementation of good governance on the quality of the financial information system in the West Java Province Regional Revenue Agency. In addition, there was a commitment that affected the quality of the financial information system and had a significant impact on the implementation of good governance in the West Java Province Regional Revenue Agency. So Organizational Culture affects the quality of the financial information system and has a significant impact on the implementation of good governance in the West Java Province Regional Revenue Agency.
Adversarial Learning for Image Generation: A Comprehensive Study on GANs using TensorFlow and Keras with MNIST Dataset
Authors:   Dr. Shafiqul Abidin 1, Dr. Saurabh Gupta2,  and Dr. Mohd. Izhar*3,   2. MOHD. IZHAR
Published: February 2025

Abstract

Generative Adversarial Networks (GANs) have emerged as a powerful framework for generating realistic and high-quality images. This research paper presents a thorough investigation into the application of GANs for image generation, utilizing the popular TensorFlow and Keras frameworks. The study focuses on the MNIST dataset, a benchmark in the field of computer vision, to demonstrate the capabilities and challenges of GANs. The research explores the foundational concepts of GANs, including the adversarial relationship between a generator and a discriminator. The proposed model architecture incorporates a generator that synthesizes images from random noise and a discriminator responsible for distinguishing between real and generated images. We delve into the training process, discussing the optimization strategies employed to enhance the performance of both components. The experiments conducted over a substantial number of epochs reveal insights into the evolving dynamics of the adversarial training process. We analyze the trade-offs and challenges encountered during training, emphasizing the delicate balance required to ensure convergence and stability. To validate the effectiveness of the proposed approach, we present quantitative metrics such as discriminator accuracy and loss, as well as qualitative results through visualizations of generated images. The paper concludes with a discussion of the broader implications of adversarial learning in image generation and suggests directions for future research in refining GAN architectures and training methodologies.
AI-Driven Digital Transformation and Sustainable Logistics: Innovations in Global Supply Chain Management
Authors: Moghaddam Ghazaleh Kermani , Karimzadeh Mostafa 
Published: February 2025

Abstract

The global supply chain has progressed beyond conventional logistics, incorporating digital technology, sustainability, and automation. It involves interrelated processes that convert raw resources into finished goods. The rising complexity from cross-border legislation, currency volatility, and evolving market demands requires decision-making driven by AI, Big Data, and automation. This study does a Systematic Literature Review of 65 journal papers (2010–2024) to analyze developments in logistics via AI, digital innovation, and sustainability. In contrast to conventional models characterized by static decision-making, emerging frameworks integrate AI-driven optimization, blockchain transparency, and real-time data for predictive forecasting. Furthermore, autonomous freight transportation, encompassing self-driving trucks, drone-assisted last-mile delivery, and hyperloop cargo systems, is transforming global logistics. Findings underscore significant transformations in supply chain strategy, focusing on sustainable mobility, carbon footprint mitigation, and integrated digital logistics. This analysis delineates research deficiencies and proposes avenues for future investigation into autonomous logistics and AI-driven systems in freight management.
Integrating Machine Learning and RAG-Based Chatbot for Mandarin Orange Disease Detection in Hilly Region of Nepal
Authors: Lamsal Ritu Raj , Acharya Prahlad , Pokhrel Rijan , Dahal Sakar , Sigdel Vishal 
Published: February 2025

Abstract

Citrus farming, particularly Mandarin orange cultivation, is a crucial economic activity in Nepal’s hilly regions. However, disease detection and management remain major challenges. This study presents an efficient method for identifying and controlling five key citrus diseases affecting the Nepali orange market: black spot, canker, Huanglongbing (HLB), leaf miner, and sooty mold. We employ the MobileNetV2 model for disease prediction and a One-Class SVM model for initial leaf classification. Additionally, we integrate a Llama-3.2-11b-vision RAG-based chatbot, which analyzes leaf images and provides real-time guidance on disease prevention and orchard management. A mobile application has been developed to integrate the chatbot with a user-friendly interface, making it accessible for farmers. Our approach achieves 95.6% accuracy in disease identification and 85.6% accuracy in orange leaf classification. With its intuitive mobile platform and AI-driven chatbot, this system has the potential to transform citrus farming in Nepal by enabling timely interventions and improved disease management.
An Analytical cross-sectional study on QUALITY OF LIFE among Diabetics in Rural and Urban Puducherry
Authors: Murugan Pavithran 
Published: February 2025

Abstract

Introduction: QUALITY OF LIFE ‘as a sense of well-being that encompasses the physical, psychological, social and spiritual condition’ Cases of diabetes in India are attributed to the lifestyle changes along with rapid urbanization and industrialization. With increase in prevalence of Diabetes in India it becomes important to assess the quality of life for better care and control.
Methods: Cross sectional study conducted in Field practice areas Rural and Urban centres, Puducherry. The total sample size estimated to be 360. Diabetic patients attending the NCD clinic was selected by systematic random sampling. Data was collected by (WHO) QOL-BREF questionnaire, under domains of Quality of life-physical health, psychological health, social relationships and environment.
Results: The mean age group was 57.5±10.8, and there was a statistically significant difference in the mean quality of life (QOL) between urban and rural areas in terms of psychological and social scores. The study participants' social score peaked at 227 (63%) for good QOL, while their psychological score was 166 (46%) for poor QOL. All four QOL domains showed a significant correlation when multivariate analysis was performed after controlling for gender, education, family income, and place of residence.
Conclusion: Diabetes does impair the QoL of patients, there is a significant difference was found between urban and rural population need to focus on requirements of care equally in both urban and rural area.
NEUROARQUITETURA: O IMPACTO DAS CORES NOS AMBIENTES RESIDENCIAIS
Authors: Hulsmeyer Giulia Curti , Wichinoski Anne Valeska , Camilo Juliana Cavalaro 
Published: February 2025

Como contribuição à arquitetura sensorial dentro de ambientes residenciais, campo da neurociência que explica a cognição e comportamento humano em obras arquitetônicas, este trabalho busca o entendimento de como o uso de cores pode alterar a percepção e a reação sensorial do humano, de acordo com as diferenças de cores em ambientações. Sabe-se que um espaço mal planejado pode prejudicar a saúde física e mental de seus usuários (BENCKE, 2018), portanto a justificativa deste artigo se dá a partir do fato de que 90% do tempo é passado dentro de ambientes fechados, e que esses ambientes influenciam na percepção humana, como a produtividade e a ansiedade, por isso a necessidade de ambientes humanizados e que valorizem as áreas do cérebro afetadas pela identificação de cores. A pesquisa foi realizada com base bibliográfica e documental, para tanto se fez necessária a utilização de bibliografias impressas e ferramentas de pesquisa disponibilizadas na rede mundial de computadores. Como resultado pôde-se observar que a memória visual está amplamente ligada ao uso de cores, visto que o tempo de ocupação que as pessoas passam nos espaços contribuem significativamente para o bem-estar mental, e que essa integração com o meio pode alterar como o ser humano se sente dentro de espaços residenciais com seu uso correto.
A NUMERICAL STUDY OF THE EFFECT OF POPULATIONS INTERACTION ON DISEASE DISSEMINATION AND IN THE CROSS IMMUNITY
Authors: Marques Joice Chaves , Gomes Ana Carla Ferreira Nicola , De Cezaro Adriano 
Published: February 2025

In this short contribution, we analyze the effect of distinct (non-homogeneous) sub-population interactions and reinfection by mutated strains on the diseases’ dissemination and cross-immunity (partial immunity). To accomplish this, we consider the presence of spatially distributed sub-populations that interact, and we model the dynamics using a generalized compartmental SIRC (Susceptible, Infected, Recovered, and Cross-Immunity) model for multi-populations. Through the analysis of simulated scenarios, we investigate the effects of reinfection by mutating strains and the interactions between sub-populations. The results obtained from these simulations provide valuable insights into the spread of the disease and its evolution within each population. One key finding is that the interaction between sub-populations of different densities has a significant impact on the overall spread of the disease. When sub-populations with varying densities come into contact, the transmission dynamics of the disease can change. This highlights the importance of considering the spatial distribution and interactions between different populations when studying disease dissemination. Additionally, when reinfection by mutating strains is taken into account, the dynamics of the disease become more complex. The analysis of sub-population interactions and reinfection by mutated strains also offers insights into control strategies, it is possible to evaluate the evolution of the disease in each population, being able to isolate the one with the highest number of infected.
3D GPR profile analysis of interlayer bonding failure in asphalt pavement based on FDTD
Authors: Li Y. X. , Chen F. , Fu C. J. , Sheng S. M. , Kang X. T. 
Published: February 2025

Interlayer bonding failure in asphalt pavements, once it occurs, is difficult to detect and address in a timely manner, significantly affecting the road’s lifespan. Three-dimensional ground penetrating radar (GPR) technology can effectively detect internal pavement defects, making it a valuable method for identifying interlayer bonding failure. In this study, the finite-difference time-domain (FDTD) method, implemented using the gprMax software, was employed to establish forward modeling. MATLAB was then used to analyze radar response characteristics under various conditions, including different defect sizes, layer positions, and moisture content levels, after performing 3D reconstruction. Additionally, GPR data were collected from interlayer bonding failures embedded in the field, and the results were compared with numerical simulations to establish the 3D radar profile for interlayer bonding failure in asphalt pavements. These findings were further validated through engineering applications. The results indicate that interlayer bonding failure in the radar profile manifests as discontinuities in the in-phase axis, with a slight “downward-bending” reflection pattern in the B-scan direction. In the direction perpendicular to the B-scan, a “strip” pattern appears, and in the top-down view, a “plate” pattern is observed. An increase in moisture content leads to stronger reflection signals. A moisture content range of 5 %-15 % provides a balanced detection effect, enabling clear identification of the defect area while minimizing interference from overly complex reflection signals. However, when the moisture content exceeds 25 %, the signals become more complex, requiring advanced signal processing techniques to avoid misinterpretation, which may hinder accurate defect identification.
Formulation, Optimization, and Ex vivo Permeation Study of Ritonavir-loaded Solid Lipid Nanoparticles
Authors: Guptha Prathap Madeswara , N Palei Narahari , Vijayaraj Surendran , Mohanta Bibhash Chandra , Murugesan Vanangamudi 
Published: February 2025

Background:
Ritonavir (RTV) is an antiviral drug that prevents human immunodeficiency virus
(HIV). However, it has low bioavailability, which can be improved with the assistance of Solid Lipid Nanoparticles
(SLNs).

Objective:
The present work aimed to formulate and optimize RTV-loaded SLNs using Box–Behnken design
and evaluate the permeability coefficient using ex vivo permeation studies.

Methods:
RTV-SLNs were prepared using the ultrasonication technique. The SLN formulation was optimized
based on particle size, % entrapment efficiency, and % cumulative drug release using response surface methodology
resulting from Box-Behnken design. The Fourier-Transform Infrared spectroscopy (FT-IR), Differential
Scanning Calorimetry (DSC), and transmission Electron Microscopy (TEM) studies were carried out for the
characterization of optimized SLN formulation. Ex vivo permeation studies were also performed using chicken
ileum.

Results:
The optimized RTV-SLNs had a particle size of 270.34 nm, polydispersity index of 0.157, and zeta
potential of -25.2 mV. The % entrapment efficiency and % cumulative drug release were found to be 94.33%
and 67.13%, respectively. The FT-IR study revealed that SLNs showed no significant interactions between the
drug and lipid in the formulation. The % crystalline index of the RTV-loaded SLN formulation was found to
be 44.31% compared to the reference value of 100% for lipids. TEM analysis showed spherical nanoparticles
that were uniform in shape. The release kinetics data demonstrated the drug release behavior, followed by the
Korsmeyer-Peppas model, and suggested that the release from SLNs followed the non-fiction diffusion. The
permeability coefficient of optimized SLN formulation was found to be significantly (p < 0.05) more compared
to free RTV suspension. The enhancement ratio results suggested that RTV-SLNs permeated significantly
(p < 0.05) faster (approximately 3.5 times) as compared to free RTV suspension.

Conclusion:
The optimized RTV-SLNs could be a promising carrier for improving the oral bioavailability of
RTV.