bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mental Health Issues and Viral Suppression Among People Living with HIV/AIDS on Anti-Retroviral Therapy (ART) in Southeast Nigeria.
Authors: Obokon Gabriel Omen , Oparaocha Evangeline Tochi , Chukwuocha Uchechukwu M. , Dozie Ugonma Winnie , Chukwu Rita Ogechi , Enejoh Victor 
Published: January 2025

Abstract

Background
The intersection of mental health issues and HIV/AIDS poses a critical challenge in the comprehensive care and management of individuals living with HIV. People Living with HIV (PLHIV) on ART struggle with not only the physical aspects of the condition but also the psychological implications associated with it. HIV remain a significant health challenge in South-eastern Nigeria, with sub-optimal viral-suppression among PLHIV on ART. Understanding the intricate relationship between mental health problems and viral-suppression among PLHIV on ART becomes imperative. Therefore, this study explores the relationship between mental health issues and viral-suppression among this population in South-eastern, Nigeria.
Methods
An hospital-based unmatched Case-control study was conducted among 1,202 PLHIV, aged ≥10yrs and on ART. Cases were people living with HIV (PLHIV) on ART with suppressed viral load, while controls were those with non-suppressed viral load. Multi-stage random sampling techniques was utilized in selecting study participants. Patient-Health-Questionnaire (PHQ-2/PHQ-9), Perceived-Stress-Scale (PSS-10) and internalized AIDS-related stigma-scale (IA-RSS) were used to measure depression, perceived-stress and HIV-related stigma. Data were entered into SPSS Version-26 software and analyzed using descriptive statistics; (percentages, mean, standard deviation), and inferential statistics using logistic regression at <0.05 statistical significance.
Result
Majority were females (62.2%). (30.4%) and 10.9% were aged 25–34yrs and ≥55yrs respectively. Mean age was 17.7years (St. dev =12.2years). Depression (50.5%) was prevalent among participants, of which 25%, 22% and 53% were mildly, moderately and severely depressed. 44.1%, 23.4% and 32.5% had low, moderate and high perceived-stress, while 46.2% and 53.2% recorded high and low HIV-related stigma. Depression (p<0.001: Mild: AOR=0.37, 95% CI= 0.23-0.58; moderate: AOR=0.26, 95% CI= 0.15-0.44; severe: AOR=0.18, 95% CI= 0.11-0.29) and perceived-stress (p<0.001: AOR= 0.43, 95% CI= 0.28-0.67) were found to be significantly associated with viral suppression among PLHIV on ART.
Conclusion:
This study reveals a significant prevalence of depression and perceived stress among PLHIV on ART, indicating the urgent need for integrated mental health interventions within HIV care programs. Addressing mental health challenges through targeted support and interventions is essential to enhance the overall well-being of PLHIV and improve viral suppression outcomes in this population.
Novel Biomarkers for Ankylosing Spondylitis through Proteomic Profiling of Serum-Derived Extracellular Vesicles
Authors: Sung Soo-Eun , Park Wook-Tae , Choi Joo-Hee , Kim Young-In , Ma Min-Jung , Son Wan-Suk , Park Sangbum , Lim Ju-Hyeon , Seo Min-Soo , Lee Gun Woo 
Published: January 2025

Abstract

The objective of this study is to analyze the protein composition of extracellular vesicles (EVs) isolated from the serum of ankylosing spondylitis (AS) patients to identify potential biomarkers that could enable the early diagnosis and intervention of this condition. Serum samples were collected from AS patients and healthy controls. EVs were isolated from these samples using ExoQuick® ULTRA solution, and their morphology, size, and concentration were analyzed using transmission electron microscopy and nanoparticle tracking analysis. Proteins within the EVs were identified and quantified through liquid chromatography-mass spectrometry (LC-MS/MS), followed by validation of key proteins using enzyme-linked immunosorbent assay (ELISA). Data were analyzed to identify proteins significantly upregulated in AS patients compared with the levels in controls. Here, through LC-MS/MS analysis, we demonstrated that FBLN1, VWF, CFHR2, and LYZ expression were significantly upregulated in serum-derived EVs from AS patients compared with the levels in healthy controls. These findings were further validated by ELISA, confirming the potential utility of serum-derived EVs as specific biomarkers for AS. The elevated levels of FBLN1, VWF, CFHR2, and LYZ in the EVs of AS patients represent promising candidates for biomarkers in the early diagnosis and treatment of AS. Further research should be performed to validate these findings and explore their clinical applicability.
Exploring Human Activity Recognition Systems: Insights from Computer Vision Approaches
Authors: Sundaresan K , Jayarajan P , Nallakumar R 
Published: January 2025

Abstract

Human Activity Recognition (HAR) through computer vision techniques has emerged as a pivotal research domain within computer science, particularly in sectors such as healthcare, security, and intelligent environments. This paper provides an extensive review of cutting-edge methodologies for identifying human activities from video and image data. Emphasis is placed on recent developments in deep learning, notably the application of Convolutional Neural Networks (CNNs), 3D CNNs, and Transformer-based models for action recognition. We examine a variety of datasets, benchmarks, and associated challenges, while also introducing an improved methodology that combines spatial and temporal feature learning. The findings indicate that hybrid models that integrate CNNs and Transformers surpass conventional methods, delivering enhanced accuracy and resilience. Lastly, the paper addresses existing limitations and proposes directions for future research, particularly in the realms of real-time HAR and the integration of multimodal sensors.
The perioperative analgesic effects of thoracolumbar interfacial block and erector spinae plane block for open lumbar fusion: a randomized controlled trial
Authors: Phuong V. H. , Duc Tran Viet , Duyen N. T. , Tu N. H. 
Published: January 2025

OBJECTIVE: The purpose of this study is to compare the pain reduction effectiveness of thoracolumbar interfascial plane (TLIP) block with erector spinae plane (ESP) block for open lumbar fusion. MATERIALS AND METHODS: From October 2021 to October 2022, 100 patients participated in a randomized prospective intervention study at Hanoi Medical University Hospital. The patients were randomly assigned to three groups: the control group (group C, n = 33), the TLIP group (group T, n = 34), and the ESP group (group E, n = 33). The pain status of the patients in three groups was assessed using the intraoperative mean Analgesia Nociception Index (ANIm), postoperative the Numerical Rating Scale (NRS) at rest and on movement at 1, 2, 4, 8, 12, 24 hour safter surgery. The intraoperative fentanyl and morphine consumption at 12 and 24 hour postoperatively were recorded. RESULTS: the ANIm of group C was the lowest at most of the time points studied during surgery (p < 0.05). Group E consumed the least fentanyl intraoperatively (p < 0.001). The postoperative NRS at rest and on movement was lowest in group E and highest in group C (p < 0.05). At 12 hours and 24 hours following surgery, group E's morphine consumption was lowest (p < 0.001). The postoperative initial mobilization and hospital stay were lowest in group E and highest in group C (p < 0.001 and p = 0.039, respectively). CONCLUSIONS: both ESP and TLIP block provide good pain relief during and after open lumbar fusion. However, ESP block is more successful than TLIP block in relieving perioperative pain.
Психоэмоциональное состояние среднего медицинского персонала отделений реанимации и интенсивной терапии при работе с пациентами, инфицированными COVID-19: сравнительное поперечное анкетное исследование
Authors: Каштанов А. Д. , Карташова Е. В. , Галата А. А. , Алиев В. А. , Яворовский Андрей Георгиевич , Волель Б. А. , Васильев Ю. Л. , Ибрахим С. С. 
Published: January 2025

INTRODUCTION: Work in intensive care units (ICUs) is one of the most difficult and can lead to the development of psychoemotional disorders. During the COVID-19 pandemic, this problem has become more urgent. OBJECTIVES: To investigate the psychoemotional state of nursing staff working in ICUs with patients infected with COVID-19. MATERIALS AND METHODS: An anonymous online survey was conducted from June 2021 to March 2022 on the psychoemotion of nurses (n = 476). To assess their psychoemotional status, the Maslach Burnout Inventory was used, adapted by N.E. Vodopyanova; the questionnaire for measuring aggressive and hostile reactions by A. Bass and A. Darki; and the standardized professional stress scale developed by K. Weissmann. RESULTS: Nurses in the ICU who work with patients infected with COVID-19 (ICU COVID+) are more likely to experience depersonalization, decreased personal achievement, and more frequent verbal and indirect aggression. (14.82/12.76 and 38/31 points, respectively, according to the methods used for this comparison group). Nurses who do not work with COVID+ patients (ICU “green” zone) are more prone to emotional exhaustion and physical aggression. (28.96/ 25.78, respectively). Experienced nurses in both COVID– and ICU COVID+ units have a higher level of psychological well-being, but the depersonalisation of nurses increases as their length of service increases. CONCLUSIONS: Nurses working in COVID+ ICUs show a larger number of signs of psychological stress than those from the "green" ICU.
К истории создания Архангельской научной школы анестезиологии и реаниматологии
Authors: Недашковский Эдуард Владимирович , Унгуряну Т. Н. , Свирский Д. А. 
Published: January 2025

Nowadays, it is difficult to overestimate the importance of studying history in general and the history of medicine in particular. Considering the history of Arkhangelsk medicine, there is a desire to highlight the pages that reflect the rapid development of the scientific school of anesthesiology and reanimatology. The authors of this article analyzed the twenty-year stage of development in the rank of the anesthesiology and reanimatology course and the thirty-year development path of the anesthesiology and reanimatology department of the Northern State Medical University (NSMU).
Центральное венозное давление как показатель возможной эффективности инфузионной терапии: систематический обзор и метаанализ
Authors: Кузнецов И. В. , Берикашвили Л. Б. , Рыжков П. В. , Короленок Е. М. , Ядгаров М. Я. , Поляков П. А. , Скворцов А. Е. , Яковлев А. А. , Лихванцев Валерий Владимирович 
Published: January 2025

INTRODUCTION: Central venous pressure (CVP) has long been considered one of the most reliable methods for assessing volemic status and responsiveness to infusion therapy in patients in intensive care. In recent years, attitudes toward CVP have shifted dramatically, but neither the published data nor the emergence of methods with proven efficacy have significantly changed practicing anesthesiologists' reliance on CVP measurement for diagnostic accuracy. OBJECTIVE: The aim of this study is to assess the existing data on the diagnostic accuracy of CVP in predicting patients' response to infusion therapy and to identify factors that influence these results. MATERIALS AND METHODS: A systematic review and meta-analysis were conducted on prospective cohort studies that examined the diagnostic accuracy of CVP in predicting response to infusion therapy. The primary endpoint was the area under the ROC curve (AUROC). The literature search was performed in the PubMed and CENTRAL databases up to March 2024. Meta-regression was used to assess the impact of covariates, including age, sex, and body mass index (BMI). Risk of bias was evaluated using the QUADAS-2 tool, and the certainty of evidence was assessed by the GRADE approach. RESULTS: A total of 84 studies, comprising data from 3729 patients (4472 observations), were included in the meta-analysis. The overall AUROC for CVP was 0.6 (95% CI [0.57; 0.62]), indicating low diagnostic accuracy (quality of evidence: moderate). The result was consistent in both ICU and perioperative settings. The diagnostic accuracy of CVP did not depend on ICU profile or surgical setting. Pooled sensitivity and specificity were 61 % and 65 %, respectively. Univariate meta-regression showed no significant impact of age, sex, or BMI on the results. Subgroup analysis indicated that mechanical ventilation and infusion load volume did not influence CVP's diagnostic accuracy. CONCLUSIONS: CVP has low diagnostic accuracy for assessing responsiveness to infusion therapy (moderate quality of evidence). Further studies are needed to evaluate the diagnostic accuracy of extreme CVP values, as well as other simple and accessible methods that could potentially replace this measure in clinical practice.
The Analysis of Translation Technique and Quality in Translating Meme Image
Authors: Romita Romita , Sujatmiko Sujatmiko 
Published: January 2025

This study aimed to find (1) the translation techniques applied by students in translating meme images, (2) the translation quality of translating meme images and (3) the student problems in translating meme images. This research used a qualitative with case study approach, and the data collection was done by content analysis, Focus Group Discussion (FGD) and interview, so that it could explore more deeply related problems found at English Department at Universitas PGRI Yogyakarta. The subjects of this research were 27 fourth semester students. The results of this study showed that the students applied 9 types of translation techniques to meme images, namely established equivalent, pure borrowing, addition, modulation, generalization, natural borrowing, explicitation, literal translation, and description. The results of the Focus Group Discussion (FGD) with experts showed that the quality of the translations of meme images by the students was 2,44 (less accurate), 2,54 (less acceptable) and 2,78 (readable). The interviews with 10 students showed that the problems in translating meme images were lack of vocabulary, confusion with meme images and not understanding the context. It was concluded that the translation techniques applied by the students contributed to the quality of the translation. The description technique contributed negatively to the accuracy of meme image translation, while the addition technique contributed negatively to the acceptability, and the established equivalent technique contributed positively to the readability in meme image translation.
Cultural Sustainability Tourism Lessons from the Amazon to the Mediterranean
Authors: Jackson Sharon , Espinoza Rosa , Diomantaraki Stella 
Published: January 2025

Increasing global sustainability crises and climate-change are impacting on biodiversity loss. The terms ‘net-zero’, ‘green transition and ‘green-skills’ are increasingly used, but many employees in the tourism sector do not know what this means, nor the relevance of green-skills in their own roles.
This exploration addresses an overlooked area of workplace learning, competencies development, for the people expected to drive the massive levels of change required in the tourism sector in Greece. The aim is a multidisciplinary, conceptual framework for knowledge, skills and attitudes, in sustainable tourism management, underpinned by theory in learning transfer and experiential learning, with pedagogy anchored in community-cultural insight, including bee-keeping, and storytelling for making sense of sustainable tourism development.
Through an enquiry lens of Greece tourism, the methodology reviews academic and practitioner studies about sustainable tourism education and citizen-science models from The Amazon (Peru).
Findings suggest a ‘talk-act’ gap as many Greek tourism professionals do not know what green management competencies are, but think they do, which can manifest in inadequate skills. Adaptation of citizen-science style learning and storytelling, focused on bees and honey, could play a role in developing sustainability management competencies for tourism sector employees in Greece, with the potential for adaptation and escalation for other locations.
A comparative study of machine learning models for river topography prediction under different data abundance
Authors: Liu Yang , Yang Zhonghua , Li Wenhai , Li Ming 
Published: January 2025

ABSTRACT
Fast and accurate prediction of river topography is important for river management and channel regulation. In this study, three machine learning models, namely fully connected artificial neural networks (FCANN), recurrent neural networks (RNN) and long-short time memory neural networks (LSTM) are developed and evaluated for river topography prediction under four different data abundance conditions. The results show that all three machine learning models can achieve satisfactory accuracy in the river topography prediction problem with sufficient data abundance, among them the LSTM has the best performance, with the mean absolute errors of 0.007m and 0.038m at day and month intervals, and the mean absolute percentage errors of 0.95% and 5.54%. Data abundance has a greater impact on prediction accuracy than that of model complexity. The model prediction error contours also show that the errors are spatially correlated and distributed in strips along the river flow direction. Sensitivity and uncertainty analysis were used to assess variable importance and the robustness of the model. This work improves understanding of the effect of data abundance and model selection on river topography prediction problems.
Performance enhancement of models through discrete wavelet transform for streamflow forecasting in Çarşamba River, Türkiye
Authors: Tuğrul Türker , Hinis Mehmet Ali 
Published: January 2025

ABSTRACT
Streamflow forecasts play an active role in hydrological planning and taking precautions against natural disasters. Streamflow prediction models are frequently used by scientists, especially in dam management, sustainable agriculture, flood control, and flood mitigation. Hence, streamflow prediction modeling was performed in this study, and six models were employed through four different machine learning (ML) algorithms, namely, the artificial neural network (ANN), random forest (RF), support vector machine (SVM), and decision tree (DT) that are well known in the literature, in order to predict the monthly streamflow of Çarşamba River, Türkiye. To further enhance model performance, wavelet transform (WT) was applied to ML algorithms. In this study, monthly average streamflow and precipitation data between 1974 and 2015 was used, and the minimum redundancy maximum relevance method (MRMR) and the cross-correlation method were performed to determine model input data. Results of this study revealed that RF had superiority over the other models before WT, followed by the SVM model. The SVM after WT (W-SVM), M04 (r: 0.9846, NSE: 0.9695, and RMSE: 0.3536) gave the most effective performance results, while the W-ANN model (r: 0.9797, NSE: 0.9588, and RMSE: 0.4108) showed the second best performance.
Study on the urban moderate scale of Dongting Lake Ecological Economic Zone based on the water resources carrying capacity
Authors: Zhan Chen , Li Zhenqiang , Peng Feifan , You Xiaoyue 
Published: January 2025

ABSTRACT

The essence of urban moderate scale lies in maintaining a balanced urban population. The water resources carrying capacity is a crucial metric for assessing the urban moderate scale. Using a calculation model based on the water resources carrying capacity, this paper evaluates the urban moderate scale of 25 districts and counties in China's Dongting Lake Ecological Economic Zone and further predicts future trends using the GM-LSTM model. Results indicate that from 2010 to 2022, the urban moderate scale consistently fell below the actual urban population, leading to water resources overuse and water quality overload. Overall, the districts exhibited signs of overloading, whereas the counties showed a surplus in water resources carrying capacity. The distance coordination degree revealed a fluctuating downward trend, with most districts experiencing maladjusted development. Urban economic activity density is an important factor affecting the formation of water resources overload pattern. Predictions suggest that the urban moderate scale will continue to lag behind the actual urban population from 2023 to 2035. To achieve sustainable urban development in areas with relatively abundant water resources, it is crucial to optimize industrial structures, enhance technological innovation in wastewater treatment, and ensure that urban scale aligns with available water resources.
Development of a process model and life cycle assessment for a large water resource recovery facility and comparison of biosolids process upgrade options
Authors: Ko Daehyun , Norton John W. , Daigger Glen T. 
Published: January 2025

ABSTRACT

Life cycle assessment (LCA), coupled with process modeling to develop the life cycle inventory, is a valuable tool to assess differences in environmental performance when evaluating alternatives based on sustainability (triple-bottom-line) principles. Coupled with a whole plant process model (SUMO21), an LCA assessed the environmental performance of options to upgrade biosolids management for the Great Lakes Water Authority water resource recovery facility. All five alternatives evaluated (composting plus four anaerobic digestion alternatives) were able to meet the core objectives of the biosolids management system upgrade: (1) address ageing incinerators, (2) minimize the mass of biosolids landfilled, and (3) reduce greenhouse gas emissions, compared to the existing (baseline) system. The mass of solids to be managed was reduced for the anaerobic digestion alternatives but not for the composting alternatives. Environmental impacts were reduced for the composting alternative for all six impact categories considered (global warming, eutrophication, carcinogenics, ecotoxicity, respiratory effects, and fossil fuel depletion) relative to the baseline, and further reduced for all four anaerobic digestion alternatives evaluated. The results allowed a phased implementation plan to be developed, which could be evaluated based on other factors, such as costs and operational factors.
Evaluasi dan Pengembangan Jaringan Distribusi Air Bersih di Kecamatan Nusa Penida, Kabupaten Klungkung
Authors: Irfananto Anas , Moch. Sholichin  , Riyanto Haribowo  
Published: January 2025

Pulau Nusa Penida terdapat jaringan air bersih yang bersumber dari Mata Air Guyangan. Pada kondisi jaringan saat ini dapat dikatakan kurang dalam pendistribusian air bersih karena adanya berbagai masalah terkait dengan air bersih. Maka dari itu dibutuhkan komponen tambahan dalam sistem distribusi di Pulau Nusa Penida yang dapat menjawab permasalahan tersebut, dalam perencanaannya dibantu dengan Software WaterCAD V8i. Analisis akan dilakukan dengan melihat dari aspek hidraulik, kualitas air, dan ekonomi dalam satu jaringan yang terdiri dari 8 pompa dan 8 tandon. Hasil evaluasi mendapatkan lokasi yang memenuhi persyaratan dilakukannya pengembangan adalah tandon R-3, R-4, R-5, R-6, dan R-7. Hasil analisis kondisi pengembangan mendapatkan nilai kecepatan diantara 0,01 – 0,8 m/dt, nilai Headloss Gradient diantara 0,004 – 12,947 m/km, nilai tekanan diantara 0,9 – 7,9 atm, dan nilai residu klorin diantara 0,3 – 0,5 mg/l. Rencana Anggara Biaya (RAB) memperoleh harga sebesar Rp. 21.954.430.000,00. Pada analisa ekonomi mendapat kesimpulan pengembangan ini layak secara ekonomi untuk dilaksanakan.