bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of MVC Architecture in a Web-based Mail Management System (E-Archive)
Authors: Setiadi Ade , Alfiah Fifit , Ardiansah Teddy , Bin Ladjamudin Al Bahra , Haryanto Haryanto
Published: February 2025

Companies, business entities, and institutions—both private and government—need archival activities because they are very important. To do it well requires improvement and refinement to achieve goals. All organizations, both government and private, must have complete and accurate data and information, knowing how important archiving is to assist leaders in making decisions or dealing with problems at the Larangan District Office, Tangerang City. Especially in the general section, archiving and document activity processes are still conventional, so it take a long time to complete. Because data is spread across many places and uses many formats, the process of selecting and reporting data is difficult to process well. This web-based electronic archiving system will be created using the Laravel framework and implementing the MVC(Model-View-Controller) architecture as a powerful and widely used software design pattern that encourages separation of concerns, code reuse, and maintainability enabling the archiving of incoming mail and mail. out serves as a data storage location. Therefore, the new e-archive system is expected to reduce errors when processing data, make the search process faster, and make reports that are in accordance with existing data.
Order Monitoring Information System with Object Modeling at PT. Multi Citra Rasa
Authors: Rahayu Sri , Yusup Muhamad , Kurniasih Kurniasih , Rosdiana Rosdiana , Kurniawan Rano
Published: February 2025

Information Systems are a combination of hardware components and devices. Information Systems are a collection of integrated hardware and software components and have the task of collecting, storing and processing data so as to produce digital products for the availability of information for an organization. PT. Multi Citra Rasa is a B2B company operating in the F&B sector for the food service category. One of the problems that occurs in this company is the long follow-up between departments in the customer order process, this is due to the limited information obtained. System analysis was carried out using UML (Unified Modeling Language) on the Use Case Diagram. Use Case Diagram is used to generally describe the weaknesses of the system currently running at PT Multi Citra Rasa. Data was collected through an observation process in the field, then conducting questions and answers with the users involved and looking for several references that support this research. At the system design stage, researchers also used UML in Sequence Diagrams and Class Diagrams. UML is an object-oriented system modeling, where these objects will be realized on application pages that are synchronized with user needs. Meanwhile, Class Diagrams are designed to make it easier to realize database designs into basic forms of physical data, so that in the end data processing can run optimally and the information displayed is in accordance with user requirements. This research meets the needs of company management and provides convenience to all users involved so that operational activities become more effective and efficient in the future.
Leukocyte Glucose Index as Significant Marker of Poor Prognosis in COVID-19 Patients with Hyperglycemia
Authors: Al-Nimer Marwan , Merza Talar A. , Jawad Thaqeef M. , Latif Ismail I.
Published: February 2025

Background: Both diabetes mellitus (DM) and stress hyperglycemia (SH) are common findings in complicated or critically ill COVID-19 patients.
Objective: This retrospective study aims to assess leukocyte glucose index (LGI) as a prognostic marker for the outcome of COVID-19 patients.
Methodology: This retrospective study was conducted at the College of Medicine, University of Diyala, Iraq. Patients with COVID-19 were randomly allocated. A primary outcome of this study was clinical outcomes in terms of surviving or not surviving.
Results: 187 patients in total were included in the study and divided into three groups. Group I (n = 45) survived patients, Group II (n = 90) survived patients with complications, and Group III (n = 52) non-survived patients. The baseline data showed significant differences between Groups III, I, and II. The median values of LGI were significantly (p <0.001) higher in Group III (2.911) compared with Group I (1.754) and Group II (1.728). The odds ratio of DM, SH, and LGI (a cutoff value of 1.5) as a risk of mortality is 2.361, 7.333, and 4.842, respectively.
Conclusion: Leukocyte glucose index is a worse marker for COVID-19 patients with overt diabetes or stress hyperglycemia.
Bangladesh Journal of Infectious Diseases, December 2024;11(2):102-107
Australian Gonococcal Surveillance Programme Annual Report, 2023
Authors:   National Neisseria Network, Australia, Lahra Monica M , van Hal Sebastiaan J , Hogan Tiffany R
Published: February 2025

The Australian Gonococcal Surveillance Programme (AGSP) has continuously monitored antimicrobial resistance in Neisseria gonorrhoeae for more than 40 years. In 2023, a total of 10,105 isolates from patients in the public and private sectors, in all jurisdictions, were tested for in vitro antimicrobial susceptibility by standardised methods. Nationally, in 2023, the AGSP captured antimicrobial susceptibility data for 25% of all gonococcal infection notifications. The current treatment recommendation for gonorrhoea, for the majority of Australia, continues to be dual therapy with ceftriaxone and azithromycin. In 2023, of N. gonorrhoeae isolates tested, 0.22% (22/10,105) met the WHO criterion for ceftriaxone decreased susceptibility (DS), defined as a minimum inhibitory concentration (MIC) value ≥ 0.125 mg/L. Resistance to azithromycin was reported in 4.5% of N. gonorrhoeae isolates, proportionally stable since 2019. There were 27 isolates (0.27%) with high-level resistance to azithromycin (MIC value ≥ 256 mg/L) reported in Australia: Victoria (13), New South Wales (11), non-remote Western Australia (2) and Queensland (1). This is the highest number ever detected and reported in a twelve-month period by the AGSP. In 2023, penicillin resistance was found in 30.7% of gonococcal isolates, and ciprofloxacin resistance in 60.3%, although there was considerable variation by jurisdiction. In some remote settings, penicillin remains recommended as part of an empiric therapy strategy. However, in 2023, in remote Northern Territory, five penicillin-resistant isolates were reported; and in remote Western Australia, 14.1% of gonococcal isolates (10/71) were penicillin resistant. In addition, there were eight ciprofloxacin-resistant isolates reported from remote Northern Territory; ciprofloxacin resistance rates have increased in remote Western Australia (16/71; 22.5%). This increase in penicillin-resistant Neisseria gonorrhoeae in the Northern Territory has effected a change in gonococcal treatment recommendations.
An outbreak of Salmonella Muenchen gastroenteritis after consuming wild hunted kangaroo, Northern Territory, Australia, 2024
Authors: Draper Anthony DK , Gerrell Joanne , McKay Stacey , Forrester Janet , Ordonez Ana , Meumann Ella , Baird Rob , Menouhos Dimitrious , Basnet Manoj , Creeper Tinus , Cummins Max , Krause Vicki
Published: February 2025

An outbreak of salmonellosis occurred in August 2024 after consuming wild hunted kangaroo in a remote area of the Northern Territory (NT), Australia. We conducted an outbreak investigation via telephone and face-to-face interviews, using a standardised questionnaire that recorded symptoms and exposures to foods and activities prior to onset of symptoms. A confirmed outbreak case was defined as anyone with laboratory confirmed Salmonella Muenchen infection who was part of a group of people who shared meals on 25–26 August 2024. A probable outbreak case was defined as anyone who was part of a group of people who shared meals on 25–26 August 2024 and subsequently experienced diarrhoea, in the absence of a laboratory test. Of the seven members of the group who shared meals, all became ill (attack rate 100%); three were confirmed cases and four were probable cases. The median age was 32 years (range 23–65 years); six (86%) were male. The median incubation period was 24 hours (range 6–30 hours). The most commonly reported symptoms were diarrhoea (100%, 7/7) and abdominal pain (86%, 6/7). Two cases were admitted to hospital, both for an overnight stay; all recovered. All seven cases consumed the same meal – a single, locally hunted and butchered kangaroo. Contamination likely occurred due to unsafe butchering, storage, transportation and insufficient cooking of the meat. This outbreak highlights the risks of contamination of game meat (in this case kangaroo) with Salmonella. Those preparing hunted meat should wash hands and knives regularly while butchering an animal to avoid contamination; should store butchered meat below 5 °C to avoid bacterial growth and cook foods thoroughly to kill microbes. We estimate that the cost to society of this outbreak was 9,810 Australian dollars.
Pendampingan Aplikasi Personal Health Record Berbasis AI untuk Deteksi Dini dan Monitoring Penyakit Kronis bagi Warga Desa Kalongan Kabupaten Semarang
Authors: Widianawati Evina , Pantiawati Ika , Wulan Widya Ratna , Kusuma Edi Jaya
Published: February 2025

This community service activity aims to improve the knowledge, attitudes, and behaviors of residents in Kalongan Village, Semarang Regency, for early detection and monitoring of chronic diseases through the use of an Artificial Intelligence (AI)-based Personal Health Record (PHR) application. The implementation method of this service included Survey, Socialization and Mentoring the practice of using the PHR-AI application. The evaluation instrument used a questionnaire and the data was analyzed descriptively in percentage growth. The results of this activity showed active participation from all attendees in discussions and socialization sessions on chronic diseases, PHBS, and the PHR-AI application for chronic disease detection. There was a significant improvement in participants’ knowledge, attitudes, and behaviors, indicating that the socialization of the PHR-AI application was highly beneficial in raising awareness about chronic disease risk factors. Participants were able to understand and practice the material presented during the sessions, which involved a combination of presentations, hands-on practice, and discussions. Additionally, participants actively consulted with facilitators during health screenings and enthusiastically joined the exercise sessions to maintain their health.
Pemberdayaan Masyarakat melalui Pemanfaatan Susu Kambing dan Umbi Talas sebagai Sumberdaya Pangan Lokal untuk Mengatasi Stunting di Desa Genggelang Kabupaten Lombok Utara
Authors: Juniawan Alvin , Wanadiatri Halia , Swandayani Rosalina Edy , Wedowati Endang Retno , Rejeki Fungki Sri , Haryanta Dwi
Published: February 2025

This community service activity aims to empower the community by utilizing local food sources processed from taro tubers and Etawa goat's milk to overcome stunting in Genggelang Village, North Lombok Regency. The implementation method of this service included socialization, training, and mentoring. The evaluation instrument for this activity used a pre-test and post-test, which were then analyzed descriptively. The results of this service showed that the community increased knowledge and skills to process the potential of local village food into processed taro flour products, cookies, processed Etawa goat's milk products, and vegetable nuggets. The potential of these products could overcome the problem of stunting and improve the community's economy.
Pelatihan Peningkatan Keterampilan Berbasis Proyek yang Menyenangkan untuk Guru dalam Merdeka Belajar di SDN Wasur 2 Kabupaten Merauke
Authors: Hanipah Sri , Ginting Syahfitriani Br
Published: February 2025

This community service activity aims to enhance the competencies of teachers at SDN Wasur 2 in implementing enjoyable project-based learning within the framework of the Kurikulum Merdeka. The implementation methods included training and mentoring, involving 22 teacher participants. The evaluation instrument utilized a questionnaire comprising 20 statements, and the data analysis technique employed a t-test to identify differences in knowledge before and after the activity. The results of the community service indicated that the training and mentoring positively impacted the teachers' skills in implementing enjoyable project-based learning. This is evident from the positive responses to the training provided. Teachers felt that the training offered new inspiration for enhancing their teaching creativity and expressed increased confidence in using project-based learning methods after the training. The implications of this activity included the improved ability of teachers to implement enjoyable project-based learning and to create engaging lessons for students.
Pemberdayaan Masyarakat Melalui Inovasi Biji Kopi Sajang Rinjani untuk Meningkatkan Nilai Tambah Produk Berbasis Model Ekonomi Sirkular
Authors: Rengganis Baiq Santi , Fathurrahman Fathurrahman , Novida Sari
Published: February 2025

This community service aims to improve the knowledge and skills of partners in upgrading coffee beans to increase the added value of products based on a circular economy model. This community service activity was carried out in Sajang Village, East Lombok Regency using the participatory action research (PAR) method which is oriented towards community empowerment through training and socialization. The evaluation instrument for this activity used a questionnaire and was analyzed descriptively. The results of this service show that partners have been able to improve products from coffee beans to ground coffee with the addition of vanilla and organic cloves. In addition, partners have the ability to design packaging and financial literacy to record product marketing input-output, and can make compost from chopped coffee grounds.
Reshaping Teaching in the Era of AI: Embracing Large Language Models in Computer Science Education
Authors: Lopes Noel
Published: February 2025

This paper presents a case study on integrating Artificial Intelligence (AI) technologies into the Internet Programming course at the Polytechnic University of Guarda to address the evolving industry demands and enhance students' skill sets and AI literacy. With AI technologies like GitHub Copilot and ChatGPT becoming mainstream, there is a pressing need to adapt higher education practices to prepare students for an AI-augmented workforce. This is particularly important in computer science, where graduates are expected to master AI tools and skills. In this context, the course curriculum and assessment methods were revised to include practical applications of AI tools, emphasising problem-solving and coding efficiency in real-world scenarios. This study analyses the outcomes of these changes, based on student performance and feedback, to assess their effectiveness in fostering relevant skills. The results indicate increased student engagement and broad appreciation of AI tools for learning and academic project development, with over 70% of respondents rating them as useful or very useful. Moreover, the course's role in developing AI skills for employability received strong endorsement, particularly from female and international students. Additionally, 71% of students preferred the new oral assessment system over traditional exams, with female and international students demonstrating the strongest approval. This reflects a broader preference for interactive and continuous assessment methods. These findings pinpoint the effectiveness of integrating AI tools and innovative evaluation techniques in fostering an inclusive and industry-relevant educational environment, and the importance of adapting curricula to meet both market and student expectations.
Navigating Communication in Hybrid Work Environments: Strategies for Building Cohesion and Engagement
Authors: Zhu Yujia
Published: February 2025

This study examines communication strategies essential for fostering cohesion and engagement in hybrid work environments. The hybrid model, combining remote and on-site work, has transformed organizational communication dynamics due to technological advancements and global disruptions like the COVID-19 pandemic. Anchored in Social Presence Theory, Medium Richness Theory, and Psychological Safety Theory, this research aims to identify effective communication frameworks within this context. The study employs a theoretical analysis supported by the three aforementioned theories. Analysis was used to uncover key strategies for enhancing team cohesion and engagement. Findings reveal the pivotal role of transformational leadership and psychological safety in addressing communication gaps, fostering inclusivity, and strengthening team connections. Additionally, the research identifies actionable frameworks, such as the integration of synchronous and asynchronous communication tools and the implementation of tailored communication protocols. This research provides practical insights for HR professionals and organizational leaders seeking to optimize hybrid work arrangements. It concludes with recommendations for future research to refine and expand communication strategies, ensuring their continued effectiveness in hybrid environments.
THE IMPACT OF WORD EMBEDDING ON CYBERBULLYING DETECTION USING HYBIRD DEEP LEARNING CNN-BILSTM
Authors: Fariz Moh. Hilman , Setiawan Erwin Budi
Published: February 2025

Cyberbullying can be perpetrated by anyone, whether children or adults, with the primary aim of belittling or attacking specific individuals. Social media platforms like X (formerly Twitter) often serve as the primary medium for cyberbullying, where interactions frequently escalate into retaliatory attacks, intimidation, and insults. In detecting these actions, short tweets are often difficult to understand without context, making specialized approaches like word embedding important. This research uses GloVe feature expansion, utilizing a corpus generated from the IndoNews dataset containing 127,580 entries to enhance vocabulary understanding in tweets that include the use of Indonesian language in both formal and informal forms. This data was then classified using the Hybrid Deep Learning method, which combines Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) with used 30,084 tweets taken from platform X as the dataset. The analysis results show that the application of expansion features using GloVe can improve the performance of the BiLSTM-CNN hybrid model, with the highest accuracy reaching 83.88%, an increase of +3.65% compared to the hybrid model without GloVe. This research successfully detected cyberbullying on platform X, making a significant contribution to efforts to create a safer and more positive social media environment for users.
Sumur Gali Dangkal Anti Bocor
Authors: Bunyamin  , Samuel Jie  , Sarawa Mamma  , La Ode Ali Imran A  , Gamal A N  , Abdul Djohar  , Sahabuddin Hay  , Sukmawati Abdullah  , Alimin  , Asminar
Published: February 2025

Permasalahan mitra adalah konstruksi dinding sumur gali yang dimilikinya tidak memenuhi syarat fisik (kuat dan kokoh), sehingga sumur akan mudah mengalami kebocoran yang menyebabkan air sumur menjadi keruh dan tercemar. Kegiatan pengabdian bertujuan untuk mengenalkan salah satu model sumur gali dangkal yang memiliki konstruksi yang kuat dan anti bocor. Solusi yang ditawarkan adalah membuat sumur berkonstruksi kuat anti bocor dengan memanfaatkan pipa paralon berdiameter (10 atau 12) inch yang dilengkapi dengan sistem filtrasi. Metode pendekatan yang akan digunakan yaitu demonstrasi, dengan jalan membuat percontohan sumur berkonstruksi kuat anti bocor. Hasil kegiatan menunjukkan bahwa pemanfaatan teknologi pipa paralon berukuran tebal efektif menjadikan konstruksi sumur kuat dan anti bocor.
Piercing the Deepest Mathematical Mystery
Authors: Granville Vincent
Published: February 2025

Using iterated self-convolutions of truncated strings, we build a system of dynamical systems, each with a different but very simple seed: a string consisting of n+1 digits, all zeros except a one at each end. The n-th system consists of strings with up to 2n digits, and after n iterations, the iterated string has the same first n-3 digits as the number e. By analyzing the non-chaotic behavior of each dynamical system during the first n iterations and letting n tend to infinity, we find spectacular patterns regarding the number of ones, leading to deep results regarding the digits of e. Computations used to identify the patterns involve numbers larger than 2^n + 1 at power 2^n, yielding about n correct digits of e, with n a large integer.
Unveiling roles of beneficial gut bacteria and optimal diets for health
Authors: Kumar Suresh , Mukherjee Riya , Gaur Pratibha , Leal Élcio , Lyu Xiaoming , Ahmad Saheem , Puri Paridhi , Chang Chung-Ming , Raj V. Samuel , Pandey Ramendra Pati
Published: February 2025

The gut microbiome plays a pivotal role in human health, influencing digestion, immunity, and disease prevention. Beneficial gut bacteria such as Akkermansia muciniphila, Adlercreutzia equolifaciens, and Christensenella minuta contribute to metabolic regulation and immune support through bioactive metabolites like short-chain fatty acids (SCFAs). Dietary patterns rich in prebiotics, fermented foods, and plant-based bioactive compounds, including polyphenols and flavonoids, promote microbiome diversity and stability. However, challenges such as individual variability, bioavailability, dietary adherence, and the dynamic nature of the gut microbiota remain significant. This review synthesizes current insights into gut bacteria’s role in health, emphasizing the mechanisms by which dietary interventions modulate microbiota. Additionally, it highlights advancements in microbiome-targeted therapies and the transformative potential of personalized nutrition, leveraging microbiota profiling and artificial intelligence (AI) to develop tailored dietary strategies for optimizing gut health and mitigating chronic inflammatory disorders. Addressing these challenges requires a multidisciplinary approach that integrates scientific innovation, ethical frameworks, and practical implementation strategies.
How does physical education influence university students’ psychological health? An analysis from the dual perspectives of social support and exercise behavior
Authors: Han Xu , Li Haozhen , Niu Ling
Published: February 2025

Objective

Physical education, as a central component of educational systems, plays a unique role in enhancing the psychological well-being of university students. This study investigates the impacts of physical education on students’ mental health and examines the mediating roles of social support and exercise behavior.

Methodology

A cross-sectional survey was conducted using the Physical Education Satisfaction Scale, SCL-90, the Social Support Questionnaire, and the International Physical Activity Questionnaire. A total of 1,437 university students were assessed.

Results

The research found a positive correlation between physical education at universities and students’ mental health, with a direct significant effect (β = 0.622, p < 0.001). Moreover, physical education positively influenced social support and exercise behavior (β = 0.523, p < 0.001; β = 0.473, p < 0.001). In turn, social support significantly fostered exercise behavior and improved mental health (β = 0.578, p < 0.001; β = 0.277, p < 0.001). Additionally, enhanced exercise behavior positively contributed to better mental health (β = 0.357, p < 0.001).

Conclusion

Physical education is a crucial influencing factor for university students’ psychological health and also indirectly impacts mental well-being through improved social support and increased exercise behavior.
Cortical excitability and the aging brain: toward a biomarker of cognitive resilience
Authors: Palermo Sara , Di Fazio Chiara , Scaliti Eugenio , Stanziano Mario , Nigri Anna , Tamietto Marco
Published: February 2025

This perspective article addresses the potential use of cortical excitability (CE) as an indicator of cognitive health in aging people. Changes in CE may be considered a sign of resilience to cognitive decline in old age. The authors describe research on CE and its link to cognitive function in older adults and emphasize that it is a promising, non-invasive measure of healthy aging. They also address the current challenges in its implementation, the need for standardized measurement protocols and possible future avenues of research. If properly considered, CE could pave the way for early detection of cognitive decline and facilitate targeted interventions to promote cognitive resilience.
Multi-level determinants of vaccination of the American Indian and Alaska Native population: a comprehensive overview
Authors: Zhao Junying , Jaggad Rashmi , Zhang Ying , Campbell Janis E. , Ghosh Pallab K. , Kennedye James R. , Ali Tauqeer
Published: February 2025

Context

American Indians and Alaska Natives (AIANs) are historically disadvantaged, losing 20 million (95%) of their population largely through epidemics since 1,520 and continuing lower overall vaccination coverage than other races. Determinants of this lower coverage are underexamined.

Methods

Among peer-reviewed relevant articles since 1968, 39 studied AIANs solely; 47 drew general population samples, including AIANs. We employed rigorous economic definitions and framework of Individual Decision-Making Under Uncertainty. The Social-Ecological model identified determinants and mechanisms at five levels.

Findings

Individual-level determinants include: (1) vaccine-preventable disease (VPD) and vaccine knowledge; (2) vaccine safety, efficacy, moral hazard beliefs; (3) preferences; (4) income and post-subsidy costs. Interpersonal-level determinants include others’ knowledge and preferences. Organizational-level characteristics of Indian Health Service, Tribal, Urban Indian (IHS/T/U) facilities include: (1) supply of vaccine products, providers, services; (2) provider cultural competency, vaccine recommendations, standing orders; (3) patient reminder/recall. Community-level characteristics include: (1) socioeconomics and geographics; (2) information infrastructure; (3) cultural values, practices, languages; (4) historical epidemic knowledge; (5) historical harms thus distrust in government, health system, science. Societal-level determinants include: (1) federal recognition and entitlements; (2) tribal self-determination; (3) state Medicaid enrollment; (4) structural racism.

Policy recommendations

Tribal interventions may (1) increase AIANs’ knowledge about VPDs, vaccines, Medicaid enrollment; (2) design risk/cost–benefit calculations using scientific objective probabilities of vaccine safety and efficacy; (3) tailor messages to epidemic histories, narratives, values; (4) outreach by trusted messengers. I/T/U organizational interventions may reduce transportation costs while increasing provider supplies, cultural competency, and vaccine standing orders. Federal policies may increase IHS funding, tribal infrastructure, and AIAN data representativeness while eliminating structural racism and generational trauma.

Conclusion

This article contributes to literature and practice. It is the first multidisciplinary, comprehensive overview of multi-level determinants and mechanisms of AIAN vaccination. Its findings highlight the gaps and limitations of laws and policies impacting AIAN vaccination. It recommends future research, culturally-appropriate interventions, and policies to close the gap to enhance AIAN vaccination and healing.
Effects of exercise intervention on tobacco dependence: a meta-analysis
Authors: Xu Jinzhi , Zhang Shiyue , Chen Zichao , Wu Zhusheng
Published: February 2025

Introduction

Smoking poses a significant threat to global human health, making smoking cessation a controllable means of preventing mortality. Exercise, as a means of promoting a healthy lifestyle, offers substantial benefits to individuals attempting to quit smoking. However, due to variations in experimental populations and conditions, the specific effects and benefits of exercise on smoking cessation remain unclear. In this meta-analysis, we comprehensively evaluated the withdrawal effects of different intensities of exercise on tobacco-dependent individuals.

Methods

Statistical analysis and graphing were performed using Stata 14 and Review Manager 5.4 software. A total of 47 literatures, encompassing 57 randomized controlled trials and involving 4,267 tobacco-dependent individuals, were included.

Results

The meta-analysis results showed that long-term exercise had no significant difference or impact on the degree of tobacco dependence between the exercise and control groups. However, acute exercise was associated with increased tobacco craving (desire and intensity) and more pronounced withdrawal symptoms.

Discussion

Acute aerobic exercise can significantly reduce craving and withdrawal symptoms among individuals attempting to quit smoking, demonstrating a certain role in smoking cessation. Acute aerobic exercise emerges as the most effective form of physical exercise for intervening in tobacco dependence.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, CRD42024550014.
Gender Differences in Intimate Partner Violence Victimization and Its Relationships With Anxiety, Depression Symptoms and Suicide Behaviours in China
Authors: Lu Li , Ye Lizhen , Zhang TianTian , Li Rong , Chen Chang , Cao Zixuan , Ma Bing-Cun , Dang Zhan-Cui , Yu Baeksan , Andreassen Ole A. , Shen Qing , Zhou Zhongliang , Lai Sha , Liu Shou
Published: February 2025

Objectives

To investigate the gender difference in Intimate partner violence (IPV) victimization and its association with mental health, examine social-demographic and health characteristics-specific relationships.

Methods

This cross-sectional study evaluated lifetime prevalence of total, psychological, physical and sexual IPV victimization. Gender-stratified multiple logistic regressions were performed to examine associations between total and subtypes of IPV victimization and anxiety and depressive symptoms, suicide ideation and suicide attempt. Sensitivity analyses and stratification analyses were additionally conducted.

Results

Among 21,824 participants (female: 44.7%), females reported higher total, psychological and physical but not sexual lifetime prevalence of IPV victimization than males. Specifically, male participants with psychological (OR = 3.62, 95% CI: 2.58–5.08 vs. OR = 1.87, 95% CI: 1.39–2.51) or sexual (OR = 4.02, 95% CI: 2.61–6.20 vs. OR = 1.46, 95% CI: 0.91–2.35) IPV victimization presented greater odds of presenting possible anxiety than females; males with physical IPV victimization showed greater likelihood of with suicide ideation than females (OR = 9.95, 95% CI: 6.68–14.82 vs. OR = 4.61, 95% CI: 3.02–6.15).

Conclusion

Prevention programs should be tailored to respond to IPV in various contexts to reduce the likelihood of and the detrimental effects of IPV.
Foundations for Teleoperation and Motion Planning Towards Robot-Assisted Aircraft Fuel Tank Inspection
Authors: Ricárdez Ortigosa Adrián , Bestmann Marc , Heilemann Florian , Halbe Johannes , Christiansen Lewe , Rodeck Rebecca , Wende Gerko
Published: February 2025

The aviation industry relies on continuous inspections to ensure infrastructure safety, particularly in confined spaces like aircraft fuel tanks, where human inspections are labor-intensive, risky, and expose workers to hazardous exposures. Robotic systems present a promising alternative to these manual processes but face significant technical and operational challenges, including technological limitations, retraining requirements, and economic constraints. Additionally, existing prototypes often lack open-source documentation, which restricts researchers and developers from replicating setups and building on existing work. This study addresses some of these challenges by proposing a modular, open-source framework for robotic inspection systems that prioritizes simplicity and scalability. The design incorporates a robotic arm and an end-effector equipped with three RGB-D cameras to enhance the inspection process. The primary contribution lies in the development of decentralized software modules that facilitate integration and future advancements, including interfaces for teleoperation and motion planning. Preliminary results indicate that the system offers an intuitive user experience, while also enabling effective 3D reconstruction for visualization. However, improvements in incremental obstacle avoidance and path planning inside the tank interior are still necessary. Nonetheless, the proposed robotic system promises to streamline development efforts, potentially reducing both time and resources for future robotic inspection systems.
New Approach to Experimental Soil Health Definition Using Thermogravimetric Fingerprinting
Authors: Krahl Ina , Tokarski David , Kučerík Jiri , Schwitzky Elisabeth , Siewert Christian
Published: February 2025

Degradation and sealing are still frequent in soil management today despite intensive research. An unsatisfactory assessment of soil key components and soil health still limits sustainable land use. For the future evaluation of soil health, soils under productive use have been compared with natural and semi-natural soils using thermogravimetric fingerprinting of air-dried soil samples. This approach has led to a more precise quantification of known relationships and the discovery of several new ones between soil components that have evolved over thousands of years of soil formation without human intervention, each changing in a specific way due to land use. The use-related deviations from the natural soil condition allow a distinction between natural soils, disturbed soils, and soil-like carbon-containing mineral mixtures (e.g., compost, horticultural substrates). Carbon added to soils with fresh organic residues or from anthropogenic (soot, slag) or geological (coal) sources can be distinguished from soil organic matter (humus) accumulated during soil genesis, regardless of extreme chemical heterogeneity. The degree of carbon sequestration in soils is easy to quantify. Using near-natural soils as a reference, considering bound water seems to be a suitable starting point for the experimental definition of soil health. An elucidation of the causal relationships between the soil components used should accompany it.
Gastric Dilatation-Volvulus in Dogs: Analysis of 130 Cases in a Single Institution
Authors: Olimpo Matteo , Cillari Sabrina , Ferraris Erica Ilaria , Giacobino Davide , Savarino Paolo , Piras Lisa Adele , Martinelli Greta , Morello Emanuela Maria
Published: February 2025

Gastric dilatation-volvulus (GDV) syndrome is a life-threatening emergency and its physiopathology and treatment have been studied for decades. Despite ongoing research, the mortality rate is still high. The aims of this study are to describe the treatment and outcome of GDV patients treated from 2011 to 2024 at the veterinary teaching hospital of Grugliasco (Turin, Italy); to analyze risk and prognostic factors, comparing the obtained data with current literature; and to evaluate how patients’ management has changed over the years. The study included 130 dogs with a confirmed GDV diagnosis that underwent surgery. The data were extracted from the digital and hardcopy clinical record, combined with the imaging diagnostic software and an interview submitted to the dogs’ owners. The analysis showed the predominance (25.38%) of German Shepherd dogs, as well as of males (59.25%); among the latter, intact dogs were most represented (53.1%). Age between 5–10 years was most frequent in the examined population (54.69%). The surgical technique went through changes during the examined period: the belt loop has been abandoned in favor of the incisional gastropexy. The survival rate of GDV surgically treated dogs was 86.4%. Lactate blood concentration and splenectomy were not assessed as relevant prognostic factors.
Relevant Indicators of Consciousness After Head-Only Electrical Stunning in Rabbits, Stunning Efficiency, and Risk Factors in Commercial Conditions
Authors: Contreras-Jodar Alexandra , Michel Virginie , Vinco Leonardo James , Varvaró-Porter Aranzazu , Velarde Antonio
Published: February 2025

Currently, approximately 62 million rabbits are slaughtered annually in approved slaughterhouses across the European Union (EU) [...]
Functional Study of Four Histone Genes Involved in the Spermatogenesis of Cynoglossus semilaevis
Authors: Sun Xuexue , Li Zhijie , Wang Lijun , Yan Haipeng , Li Xihong , Wang Na , Dong Zhongdian , Xu Wenteng
Published: February 2025

Chinese tongue sole (Cynoglossus semilaevis) is an important mariculture fish in China, and female individuals present a growth advantage. However, genetic females (ZW) can sex reverse to phenotypic males, designated pseudomales. The pseudomale shows abnormal spermatogenesis and produces only Z sperm. Histone is pivotal in spermatogenesis, and post-translational modification could regulate its function. A comparison of testis phosphorylated and ubiquitinated proteins revealed 8 and 12 differentially phosphorylated and ubiquitinated histones in the testes of male and pseudomale Chinese tongue soles, respectively, but there was no difference in the translation level of these proteins. We selected four histone genes, h1.1-like, h1.2-like, h3, and h3.3-like, for further analysis. The expression levels of the h1.1-like, h3, and h3.3-like genes reached their highest levels at 2 years post-hatching (yph), and the expression level of h1.2-like reached its highest level at 1.5 years post-hatching (1.5 yph), indicating that its role began during the late stage of gonadal development. Promoter activity verification revealed that the promoters of the h1.1-like, h1.2-like, h3, and h3.3-like genes were located approximately upstream 2000 bp and six histone-related transcription factor sites were predicted. YY1A, YY1B, C-JUN, and JUNB may have negative regulatory effects on h1.1-like, h1.2-like, h3, and h3.3-like; AR and ETS-2 may have positive regulatory effects on h3 and h3.3-like. The ISH results revealed that h1.1-like, h1.2-like, h3, and h3.3-like mRNAs were located mainly in the sperm cells in the testes and the oocytes at various stages in the ovaries. After siRNA knockdown, the expression of dmrt1 in testis cell lines and the expression of tesk1 and neurl3 in males was downregulated, suggesting that the h1.1-like, h1.2-like, h3, and h3.3-like genes may have a negative regulatory role in spermatogenesis. The regulatory role in female fish remains to be explored. Mass spectrometry analysis revealed that histones have an important role in chromosome remodeling. These results provide a genetic basis for the molecular mechanism of gonadal development and spermatogenesis in Chinese tongue sole.
Evaluating Resilience and Thermal Comfort in Mediterranean Dwellings: A Level(s) Framework Approach
Authors: Díaz-López Carmen , Pérez-Rendon Cristina Alba , Serrano-Jiménez Antonio , Barrios-Padura Ángela
Published: February 2025

The construction sector plays a pivotal role in urban development, providing a critical opportunity to foster a cultural shift towards the regeneration of housing stock. This shift focuses on sustainable and resilient urban interventions to extend the lifespan of buildings, starting from the design phase. In this context, the European Union’s Level(s) framework, which establishes sustainability indicators, is particularly relevant to this research, as it promotes circular economy principles and building resilience. The framework provides a comprehensive set of indicators that guide resilient housing rehabilitation methodologies. Indicator 2.3 supports the design and renovation of obsolete housing, emphasizing the maximization of resilience against climatic, functional, and socio-economic impacts. Meanwhile, Indicator 4.2 evaluates the thermal comfort of building occupants concerning indoor conditions throughout the year. The primary aim of this study is to develop a resilient housing rehabilitation methodology based on Level(s), which includes (i) assessing the current resilience of a pilot case, (ii) designing new resilient housing configurations, (iii) evaluating thermal comfort duration for older adults, and (iv) analyzing cost amortization. The research findings indicate that the proposed rehabilitation approach significantly improves occupants’ resilience to climate-related stressors and thermal comfort, particularly vulnerable populations such as older adults. Additionally, the study highlights the importance of adapting thermal comfort standards for these populations and demonstrates the cost-effectiveness of resilience strategies. The outcomes contribute to a flexible and accessible refurbishment model that meets diverse tenant needs, offering a scalable solution for sustainable urban interventions.
The Development of the Pipe Jacking Guidance Technology
Authors: Qiu Di , Wang Lu , Zu Yutong , Qing Yin
Published: February 2025

Pipe jacking is one of the most important construction methods in trenchless technology. Pipe jacking guidance technology acquires the jacking route by collecting the attitude and position information of the pipe jacking machine. It ensures that the deviation between the jacking route and the route designed in the engineering drawings during the construction is kept within the error range and prevents the damage to other facilities caused by the deviation of the construction route. It improves the construction efficiency and ensures the precision and safety of pipeline laying. In this paper, the basic principle and working mode of the pipe jacking guidance system are sorted out, and the current technical means are classified and organized. A systematic overview of the research on pipe jacking guidance methods is given, the development trend of pipe jacking guidance systems towards automation, intelligence and multi-source data fusion are discussed, and the challenges faced by pipe jacking guidance systems in complex scenarios are elaborated. This is to provide guidance and reference for the research and practice in related fields and to promote the further innovation and application of pipe jacking guidance technology.
Optimized Controller Design Using Hybrid Real-Time Model Identification with LSTM-Based Adaptive Control
Authors: Park Yeon-Jeong , Cho Joon-Ho
Published: February 2025

Most of the processes with various dynamic characteristics can be reduced to the Second Order Plus Time Delay (SOPTD) model by using the model reduction method. We propose a novel hybrid approach that combines Long Short-Term Memory (LSTM)-based real-time model identification with Genetic Algorithms to enhance the Smith predictor control structure. This method compensates for the delay time of the SOPTD model while minimizing the Integral Time Absolute Error performance index. Our approach integrates an optimally adaptive Proportional–Integral–Derivative (PID) controller design algorithm that estimates the coefficients of the SOPTD model in the Smith Predictor control structure and adjusts the PID controller parameters dynamically. The method is improved through a combination of numerical calculation, Genetic Algorithms, and LSTM networks, showing approximately 15% better performance compared to conventional methods. The system demonstrates significant improvements in both performance metrics and resource utilization, including a 40% reduction in execution time and enhanced resource efficiency. Simulation results show that the proposed scheme exhibits improved adaptability to disturbances and process variations, with faster response times and reduced overshoots compared to traditional methods. The steady-state response of the higher-order model and the reduced model shows perfect matching for the unit feedback input.
Comparative Study of Minimally Invasive Microwave Ablation Applicators
Authors: Karkanis Nikolaos , Kaifas Theodoros N. F. , Samaras Theodoros , Kyriacou George A.
Published: February 2025

This work presents a comparative analysis of microwave ablation applicators, including both antenna-based and open waveguide designs, which are guided and inserted into tumors via catheters. Applicators previously proposed in the literature are evaluated through both electromagnetic and thermal simulations. The objective is to assess temperature distribution within the tumor and surrounding healthy tissues; with a focus on identifying patterns of heat diffusion. Although a variety of applicators have been designed, each typically operates at different central frequency or targets specific tumor shapes and tissue types. In this study, we standardize conditions by analyzing multiple applicators’ designs for the same tumor type. The results highlight the shape of the ablation zone and corresponding temperature distribution, offering insights into potential healthy tissue damage. This comparative analysis provides critical information for optimizing microwave ablation applicators for more precise and effective treatment.
A Framework for Improving Accessibility of Serious Games in Handheld Augmented Reality Based on User Interaction Data
Authors: Žilak Matea , Car Željka
Published: February 2025

Serious games combined with augmented reality (AR) can positively impact user’s motivation and learning experience. To ensure that users with different needs can use them effectively, we must ensure the accessibility of such solutions. The goal of this paper is to show that game-learning analytics can be utilized to identify issues for people with various needs and define ways to improve the accessibility of AR-based serious games. This paper presents a framework based on analysing automatically collected user interaction data in handheld AR-based serious games to adapt them to the user in the context of accessibility. An experiment was conducted with people with disabilities and people of different ages using the established framework. The focus of the experiment results analysis in this paper is on the evaluation of interaction mechanisms adapted to users based on their interaction data and preferences. The results showed that for most participants the assigned interaction mechanisms for virtual object transformation tasks (translation, scaling, rotation) in AR were satisfactory. The framework proposed in this paper provides the basis for further research in this field concerning the use of advanced analytics that enable intelligent adaptation to the individual user.