bluuebunny/crossref_metadata_2025_split huggingface dataset:
SemFE:A Feature Matching Method for Learnable Local Semantic Feature Enhancement in Multimodal images
Authors: Teng Rongrui , Liao Yun , Wang Wei , Duan Qing , Liu Junhui , Jin Fangwei , Li Yunpeng , Qian Xu 
Published: November 2024

Abstract

Multimodal image matching has been a critical challenge within the field of computer vision over an extended period. In recent years, detector free methods have received widespread attention for achieving high matching accuracy. However, these methods often fail to fully exploit the semantic information within images, which is crucial for achieving accurate matching. To overcome this limitation, we propose SemFE, a multimodal image matching framework that leverages learnable local semantic feature enhancement. In SemFE, we designed a dynamic semantic feature extraction module to capture semantic information, along with a semantic information enhancement module to refine semantically related features. Additionally, we developed a multi-scale feature fusion backbone integrated with a transformer to further enhance feature extraction. Comprehensive experimental results demonstrate that SemFE consistently outperforms competing methods across various multimodal image datasets.
Disease burden and attributable risk factors of major depressive disorder in China, Japan, and South Korea from 1990 to 2021 and its prediction to 2035
Authors: Wang Yifan , Zhu Jingwen , Zhou Jihong 
Published: November 2024

Abstract

To analyze the disease burden of major depressive disorder (MDD) and risk factors associated with MDD in China, Japan, and South Korea(CJK) from 1990 to 2021, to explore the effects of age, period, and cohort on the disease burden of MDD, and to predict the burden of MDD in CJK from 2021 to 2035. The Global Burden of Disease 2021 (GBD) database was searched to collect the incidence rate, prevalence rate, disability-adjusted life years (DALYs), and risk factors of MDD in CJK. Trends in MDD burden from 1990-2021 were analyzed using Joinpoint 4.9.1.0. Age-period-cohort(APC) analyses were performed using the APC Web Tool. Bayesian age-period-cohort analyses(BAPC) were performed using R4.4.1. From 1990 to 2021, Japan had the highest burden of MDD, followed by South Korea, and China had the lowest burden of MDD; The average annual percentage change(AAPC) of MDD burden indicators in China was less than 0, while in Japan and South Korea, it was greater than 0. The analysis of age and gender differences showed that the MDD disease burden of middle-aged and elderly people over 55 years old in China increased most significantly from 1990 to 2021, while the MDD disease burden of young people aged 20-29 years old in Japan and South Korea increased most significantly. The MDD disease burden of females in CJK was higher than that of men from 1990 to 2021; APC analysis showed that the changes in the net drifts, local drifts, and rate ratio (RR) value of MDD incidence rate in CJK were closely related to the economic form and population aging in the three countries in terms of age, period, and cohort effect. Risk factor analysis showed that MDD had 3 levels and 5 risk factors; BAPCs showed that the burden of MDD in China would be a decreasing trend between 2021 and 2035, and the burden of MDD in Japan and South Korea would be a decreasing trend between 2021 and 2022, and an increasing trend between 2022 and 2035. There are both commonalities and differences in the burden of MDD in CJK, while the current burden of MDD in CJK is lower than the global average. Compared with Japan and South Korea, China has a lower burden of MDD, but all three countries still face enormous challenges in the prevention and control of MDD.
Internet of Things-based Intelligent Environmental Monitoring and Alert System
Authors: Enam Rabia Noor , Rizvi Huma Hasan , Khan Muzammil Ahmad , Bacarra Rex , Tahir Muhammad , Khan Abdullah Ayub , Alsayaydeh Jamil Abedalrahim Jamil 
Published: November 2024

Abstract

Usage of the Internet of Things (IoT) is rapidly rising worldwide as the technology can perform sophisticated tasks in every field of life. The proposed IoT-based Smart Environmental Monitoring and Alert System (SEMAS) is designed to measure multiple atmospheric parameters and if the system observes any weather or environmental changes then it can notify the user via text or any other notification method over the internet. Moreover, the system will be able to collect a very detailed database with more detailed information on weather and infrastructure per head region and can provide the solution to the worst-case scenarios. In the proposed experiments, data collection from different sensors have shown different behaviors in terms of variations from one node to another. We have developed symmetric variation fields and analyzed these behaviors, and have proposed different sensing plane types of Low Range Low Variation (LRLV) data plane, Low Range High Variation (LRHV) data plane, High Range Low Variation (HRLV) data plane and High Range High Variation (HRHV) data plane that can overlap the target fields. In this paper, we have proposed SEMAS that can achieve its purpose by adopting the “smart monitoring approach” using the virtual sensing plane patterns. Furthermore, the placement of nodes according to the proposed sensing planes can optimize the deployment strategy of IoT/sensor nodes in the network.
Human beta cells become dysfunctional prior to type 1 diabetes diagnosis
Authors: Teitelman Gladys 
Published: November 2024

Abstract

Type 1 Diabetes is an autoimmune disease that leads to beta cell death. To test whether beta cell defects precede diagnosis we surveyed the expression of pCREB in human islet cells. pCREB is a transcription factor produced by islet alpha cells that is regulated by the incretin Glucagon-Like Peptide (GLP-1). Since levels of GLP-1 rise during diabetes development, we asked whether this increase would be deleterious to islet cells. This analysis indicated that while islet cells of control donors display pCREB in the nucleus, the transcription factor was also found in the cytoplasm of insulin cells of normoglycemic prediabetic donors and of beta and alpha cells of recently diagnosed donors. The translocation of pCREB, which decreases its activity, was correlated with reduced or absent expression of insulin and of a protease. These changes suggest an alteration in protein homeostasis. The cytoplasmic localization of pCREB is transient, since the transcription factor moves to the nuclei of insulin and glucagon cells of donors with longer standing disease. The present observations suggest a possible correlation between the known increase in GLP-1 during diabetes development, and early islet cell defects due to alteration in the cellular localization of pCREB.
A Review on Air Traffic Flow Management Optimization: Trends, Challenges, and Future Directions
Authors: Aditya Verma , Aswin Dande Sureshkumar , Dhaneesh Somasundaram Vanitha , Chakravarthy Sakthivelan , Kumar Bhukya Shanmuk , Venkadavarahan Marimuthu 
Published: November 2024

Abstract

Air Traffic Flow Management (ATFM) is the backbone of modern aviation and ensures that aircraft move safely and efficiently through increasingly congested skies. As global air travel grows, managing air traffic has become more pressing than ever. This review assesses ten years of the ATFM literature, the period between 2014 and 2024, and discusses 162 studies published in peer-reviewed journals. Employing VOSViewer and Biblioshiny, this review analyzes the history of ATFM research. It explores the trends and gaps in research, which suggest there is room for improvement for more sound approaches. While optimization techniques have significantly improved efficiency and eased bottlenecks, the future lies in real-time solutions that can handle unpredictable events, from weather disruptions to technical failures. The review identified key areas for optimizing ATFM, categorized by primary focus: delay minimization, airspace congestion, and scheduling. It suggests ways in which more dynamic ATFM systems are possible in the growing global aviation network. By synthesizing the current research landscape, this review addresses the progress made. It offers a roadmap for future innovations that will enhance the safety, efficiency, and sustainability of air traffic management.
Dynamic Competitiveness, Firm Performance and the Regulatory Role of Government Policies in Industry 5.0
Authors: My Sang Tang , Tien Hung Nguyen 
Published: November 2024

Abstract

Industry 5.0 poses many challenges for insurance companies. This article explores the impact of sustainable competitive advantage on firm performance under the regulatory effect of government policies in Vietnamese insurance companies. The study surveyed 248 leaders at insurance companies and used the PLS-SEM method to analyze the data in two steps. The research results show that sustainable competitive advantage is positively influenced by infrastructure capacity, digital orientation, market orientation, and innovation capacity. Sustainable competitive advantage has a strong effect on firm performance. The results also confirm the mediating role of sustainable competitive advantage and the regulatory role of government policy. From there, the implication of a solution for insurance companies has been proposed. This study provides further empirical evidence from the insurance industry for dynamic resource theory and stakeholder theory. Furthermore, the results are also the basis for managers to plan sustainable business strategies.
Attitude and behavior of health care providers towards provision of drug information services at the University of Gondar Comprehensive Specialized Hospital: A prospective cross-sectional study
Authors: Tekle Masho Tigabe , Sema Faisel Dula , Gebremariam Saron Naji , Worku Minichil Chanie , Ayenew Mulugeta Endalamaw , Jara Abdisa Gemedi 
Published: November 2024

Abstract

Background
Providing appropriate drug information (DI) to an individual patient promote rational drug use and reduces non-adherence, drug interactions, adverse drug reactions, and medical costs which might be caused by poly-pharmacy and complex drug treatment regimens. Healthcare providers play a vital role in improving patient outcomes, through provision of appropriate drug information service (DISs). This study aimed to assess the attitude and behavior of healthcare providers towards the provision of DISs and its associated factors at the University of Gondar Comprehensive specialized Hospital (UOGCSH), Northwest Ethiopia, 2024.
Methods
From May 1, 2024 to July 30, 2024 a prospective cross-sectional study was conducted among 242 healthcare providers at UOGCSH. Data was entered in to EPI DATA software (4.6.0.2) and analyzed by SPSS version 26. Multivariable binary logistic regression was used to identify predictors of attitude and behavior of healthcare providers towards provision of DISs. P-value < 0.05 was considered as statistically significant and reported as 95%CI.
Results
The overall median (IQR) attitude score was 65.96 (IQR: 61–71) and majority, 176 (72.7%) respondents had favorable attitude and behavior. Statistical significance difference were observed in terms of profession (p = 0.013), receiving of DI question (p = 0.023), source of DI; conference (p = 0.011), training (p = 0.008), database (p = 0.003), and barriers for providing DISs; lack of fund to run DICs (p = 0.020), lack of team spirit among healthcare providers (p = 0.007), lack of transparency and accountability in running government affair (0.042), and lack of motivation from health providers (p = 0.030). Source of DI; training (AOR = 0.474, 95% CI = 0.237– 0.948, p = 0.035), database (AOR = 2.054, 95% CI = 1.022–4.127, p = 0.043), receiving DI question from healthcare provider (AOR = 0.389, 95% CI = 0.203–0.748, p = 0.005), and barriers for DISs provision; lack of fund to run DICs (AOR = 2.163, 95% CI = 1.020–4.584, p = 0.044) were significantly associated with favorable attitude and behavior.
Conclusions
Majority of health care providers had favorable attitude and behaviors towards provision of DIS. Training, database, receiving DI question from healthcare provider, and lack of fund to run DICs were predictors of favorable attitude and behavior.
Vitamin D levels in postmenopausal women diagnosed with Central Retinal Vein Occlusion: a case-control study
Authors: Kazantzis Dimitrios , Machairoudia Genovefa , Theodossiadis Panagiotis , Chatziralli Irini 
Published: November 2024

Abstract

Purpose
To compare Vitamin D levels in postmenopausal women diagnosed with Central Retinal Vein occlusion (CRVO) and investigate if vitamin D deficiency is a risk factor for CRVO in this population.
Methods
This was a case-control study. Participants in this study were 32 postmenopausal women diagnosed with CRVO, and 32 age- and sex- matched controls. Peripheral blood samples were taken to evaluate vitamin D along with Calcium, magnesium and phosphate concentrations.
Results
Mean age in women with CRVO was 69.03 ± 8.14 years and 69.41 ± 8.06 years in controls. Women with CRVO were more likely to have elevated blood pressure compared to controls. (p = 0.04, chi-square test). 19 out of 32 women with CRVO had vitamin D deficiency compared to 6 out of 32 controls (p = 0.0008, chi-square test) using the 20ng/ml cutoff. Mean calcium, magnesium and phosphate levels were comparable between the two groups. Multivariate logistic regression analysis adjusted for hypertension and diabetes showed that vitamin D deficiency was associated with increased odds for CRVO (OR = 2.06, 95%CI = 1.10–3.86, p = 0.024).
Conclusion
Vitamin D deficiency is common in women with CRVO. In multivariate logistic regression analysis, vitamin D deficiency was proven to be associated with a 2-fold increased risk for CRVO in postmenopausal women. Further studies are needed to validate this result in other populations.
An Evaluation of the Relationship between Nurses' Compassion Competencies and Their Perception and Understanding of Human Dignity
Authors: ÇELİK ŞEYMANUR , Özalp Cemal , Avşar Gülçin 
Published: November 2024

Abstract

Background
It has been emphasized in many studies that patient care should include the values ​​of compassion and respect for human dignity. Nurses providing care with these values ​​increase patient satisfaction and strengthen the holistic quality of care. It is thought that nurses with high compassion competence may be able to perceive and understand human dignity more deeply; this relationship can significantly contribute to the quality of patient care and the sustainability of a health service that values ​​people. No study in the literature comprehensively evaluates the relationship between nurses' compassion competence and their levels of perception and understanding of human dignity. This study addresses this deficiency by examining the relationship between nurses' compassion competence and their levels of perception and understanding of human dignity.
Methods
The study's universe, which examined the relationship between nurses' compassion competencies and their perception and understanding of human dignity, consisted of nurses working in a training and research hospital in Turkey between November 2023 and January 2024. The study was completed with 485 nurses. The "Personal Information Form," "Human Dignity Perception and Understanding Scale in Nursing," and "Nurses' Compassion Competency Scale" were used to collect data. Frequencies, percentages, mean values, standard deviations, and Pearson correlation analysis were used to evaluate the data.
Results
This study revealed that nurses' compassion competence (4.13 ± .616) and their level of perception and understanding of human dignity were high. Additionally, a moderate and positive relationship was detected between the total score averages of "compassion competence" and "perception and understanding of human dignity" (p > 0.05).
Results
As a result of this study, it was concluded that as nurses' compassion competencies increased, their level of perception and understanding of human dignity also increased.
Zic3 enables bimodal regulation of tyrosine hydroxylase expression in olfactory bulb and midbrain derived neurons
Authors: kumar ANUJITH , Bhaskar Smitha , Gowda Jeevan , Hegde Akshay , Thumu Surya Chandra Rao , Banerjee Shreetama , Ramanan Narendrakumar , Sala Paloma , Campbell Kenneth , Prasanna Jyothi 
Published: November 2024

Abstract

Tyrosine hydroxylase (TH) is a key enzyme that catalyzes dopamine synthesis in various regions of the brain. Expression of TH is diversely regulated in Olfactory bulb (OB) and Midbrain (MB). Different sets of transcription factors (TFs) control the expression of TH in these two regions and most of them are exclusive to either OB or MB. Zinc finger transcription factor of cerebellum 3 (ZIC3) is known to regulate forebrain development. However, the role of ZIC3 in TH regulation and its underlying mechanism remains unknown. While loss of function of Zic3 in primary neurons led to down-regulation of TH expression, it could be rescued by over-expression of shRNA resistant Zic3. TH promoter lacks the consensus ZIC3 binding region and mechanistic insights revealed ZIC3 to regulate TH expression by interacting with ER81, a known TH regulator. ZIC3 interaction with ER81 is indispensable for ER81 binding to Th promoter and it fine tunes ER81 mediated Th regulation. In midbrain (MB), ZIC3 regulates TH expression both in vitro and in vivo. However, in the absence of ER81 in MB, ZIC3 chooses an alternative approach of binding to Pitx3 promoter- a DA fate determinant. Under the ectopic expression of ER81 in MB derived neurons, propensity of ZIC3 binding to Pitx3 promoter is compromised and its occupancy on Th promoter encompassing ER81 binding site is established, finally culminating in desired TH expression. Together, these findings reveal a unique ZIC3 mediated bimodal regulation of TH in OB and MB derived neurons.
Biodegradation of phenolic derivatives by Pseudomonas sp., at saline conditions
Authors: Chandrasekaran Sivaraman , Paramasivan Balasubramanian , Jeyakumar Rajesh Banu , Summan Ahmed Saleh Ahmed 
Published: November 2024

Abstract

Bacteria in saline matrices need to be studied for its scope in organic turnover, elemental recycling, and recovery of industrially important metabolites. The gained knowledge can be utilised for treatment of pollutants in saline wastewater generating industries and in marine environments. Phenol and its derivatives found as priority pollutants and hence in this study bacteria potential to degrade these priority pollutants was examined at saline conditions. The bacteria were isolated from the sludge taken from industrial units of Jeddah, Saudi Arabia and grown on Halophilic Mineral Salt Medium (HMSM at 4% NaCl) with phenol supplied as primary source of carbon for the bacterial growth. The bacteria effectively utilised phenol (400 ppm) in 72 hrs. Extraction of DNA from phenol degrading bacteria was performed and the bacteria was identified as Pseudomonas sp., using molecular techniques. Pseudomonas sp. was found to degrade a variety of phenolic derivatives. The percentage of residual compound left over for catechol (4.82 ± 1.59% at 96 hrs), resorcinol (0% at 96 hrs), quinol (20.69 ± 0.66% at 96 hrs) 4-Chlorophenol (46.66 ± 4.83% at 192 hrs) and 4-Nitrophenol (60.21 ± 2.68% at 192 hrs). The presence of chloro and nitro group resulted in remarkable increase in time span to degrade the phenolic derivative. Addition of yeast extract significantly reduced the time span of experiments and Pseudomonas sp., completely utilised 4-Chlorophenol and 4-Nirophenol within 96 hours leaving nil residues. Hence the Pseudomonas sp., could play a versatile role in saline conditions for the degradation of phenol and its derivatives present in industrial wastewater.
Report on nematode parasites in Spot-billed pelicans (Pelecanus philippensis) and Painted storks (Mycteria leucocephala) from Telineelapuram, Srikakulam District, AP, India
Authors: Mathews Anisha , Malathi Sanapala , Mohinikumari Paidi , Shameem Ummey 
Published: November 2024

Abstract

Purpose
The present investigation is undertaken to understand the cause of the sudden mass mortality of Spot-billed Pelicans (Pelecanus philippensis) that have mixed colonies with Painted storks (Mycteria leucocephala) at Bird Migration Centre, Telineelapuram Village, Tekkali Mandal, Srikakulam District, Andhra Pradesh.
Methods
Post-mortem examination of the gastrointestinal tract (GIT) of a single pelican was conducted along with the faecal analysis of both birds using Mac Master floatation technique. The infected proventriculus of pelican was studied histopathologically. Parasites collected were identified and described using light and scanning electron microscopy (SEM).
Results
Faecal analysis showed 100% prevalence of infection. Post-mortem revealed very high parasite burden with 1394 (426 adults and 968 larvae) nematode parasites. Nematodes were found attached to mucosal surface of the proventriculus, obstructing the lumen and thereby causing mucosal ulcers, lesions and haemorrhages, revealing considerable histoarchitectural changes at the histopathological level. Parasites were identified as Contracaecum species i.e. C. micropapillatum and C. multipapillatum.
Conclusion
This is the first record of Contracaecum species in the proventriculus of a wild spot-billed pelican at Srikakulam District. Overall, the present study indicates the danger of sudden mass mortalities in migratory birds like pelicans and storks due to heavy infections with nematode parasites and stresses the importance of timely preventive measures to safeguard the avian fauna from heavy parasite infections.
Impact of a WeChat Mini Program-Based Cognitive Behavioral Therapy for Insomnia on Sleep Quality and Cognitive Function in Older Adults with Mild Cognitive Impairment and Insomnia:a Randomised Trial
Authors: Qiao Yan-Ming , Tian Yi-Can , Song Yan 
Published: November 2024

Abstract

Aims：This study aimed to evaluate the effects of a 6-week Cognitive Behavioral Therapy for Insomnia (CBTI) intervention delivered via a WeChat Mini Program on sleep quality and cognitive function among older adults with Mild Cognitive Impairment (MCI) and insomnia.
Design：This study employed a randomized controlled trial design.
Methods：Sixty older adults were recruited From February 2023 to June 2023, 30 older adults in the experimental group received a 6-week intervention based on the WeChat mini program, while those in the control group received 6 weeks of online sleep health education. Primary outcomes include sleep quality and cognitive function and second outcomes were awareness and practices of sleep hygiene, anxiety and self-efficacy. Using independent sample t-tests or Mann-Whitney U tests were used to compare the differences of outcomes measures between the control group and the experiment group. The differences of them before and after the intervention within the experimental group were compared by paired sample t-tests or Wilcoxon rank-sum tests.
Results：We found significant improvements in sleep quality, cognitive function, awareness and practices of sleep hygiene , anxiety, and self-efficacy in the experimental group compared to the control group (P<0.05). Additionally, the study showed significant enhancements in these areas before and after the intervention within the experimental group (P<0.05).
Conclusions：Overall, the results indicate that the WeChat Mini Program-based CBTI intervention effectively improved sleep quality and cognitive function, enhanced knowledge and habits related to sleep hygiene, increased self-efficacy, and reduced anxiety in older adults with MCI and insomnia.
Clinical trial number: Not applicable.