bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of right ventricular myocardial properties using systolic myocardial T1 mapping
Authors: Sasaki Yuki , Oka Hideharu , Nakau Kouichi , Shibagaki Yuki , Ito Keita , Imanishi Rina , Shimada Sorachi , Akiho Yuki , Fukao Kazunori , Nakagawa Sadahiro , Iwata Kunihiro , Takahashi Satoru 
Published: January 2024

Abstract
Background: Myocardial properties can be quantitatively evaluated using myocardial T1 values obtained using cardiac magnetic resonance imaging. In terms of myocardial wall thickness, the left ventricular T1 value is easy to measure, but the right ventricular T1 value is difficult. Patients with congenital heart disease often develop right ventricular overload. We aimed to determine whether T1 mapping during systole can be used to evaluate right ventricular myocardial properties.
Methods: T1 mapping was performed at diastole and systole, and the myocardial properties of both ventricles were evaluated in 13 healthy participants (21–26 years old) and 12 patients with right ventricular overload (12–41 years old) who underwent cardiac magnetic resonance imagingexamination at our hospital.
Results: From analysis of left ventricular myocardial T1 values, we found that myocardial T1 values did not change significantly during the cardiac cycle. But, right ventricular T1 values changed between diastole and systole because the right ventricle is affected by blood. Although there was no difference in right ventricular diastolic myocardial T1 values between the patients and volunteers (1346.8 vs. 1347.6 msec, p=0.852), the right ventricular systolic myocardial T1 values was significantly higher in patients than in volunteers (1312.7 vs. 1233.8 msec, p=0.002).
Conclusion: Systolic right ventricular myocardial T1 mapping allows assessment of right ventricular myocardial properties. The right ventricular myocardial systolic T1 value is useful for evaluating myocardial damage due to right ventricular stress and myocardial injury.
Folate deficiency links impaired appetite routing to ovarian dysfunction
Authors: Shaikh Afridi , Choudhary Bharti , Chhatpar Mukund , Fefar Dhaval , Roy Hetal 
Published: January 2024

Abstract
The long-established link between nutrition and reproduction is known to have critical consequences for reproductive function. However, the availability of experimental data on effect of folate deficiency on ovarian health is scarce and uncertain. Our objective was to establish a proof for association between folate deficiency, hormone dynamics, and health of the ovary through in vivo model organism. Folate-deprived female zebrafishes were developed using intraperitoneal administration of methotrexate (MTX) and they were used to study the possible implications of folate deprivation on ovarian health. Changes in the expression of transcripts regulating appetite and ovarian function was assessed by qRT-PCR. ELISA based methods were utilised to quantify and evaluate changes in hormone levels regulating reproductive function. Histology of ovarian tissue was performed to support the study. Folate deprivation resulted in impaired appetite behaviour and alters its regulatory gene expression. Due to folate deficiency, the neuroendocrine function of the brain was affected that resulted in altered reproductive hormone levels. Histological parameter of ovary was performed wherein the follicles are arrested in primary oocyte stage and abundance of scarring of tissue is seen. Furthermore, elevated lipid peroxidation and catalase enzyme activity indicates folate deficiency induced oxidative stress in ovary as one of the responsible mechanisms to aide ovarian dysfunction. Our study provides experiment proof with in vivo folate deficient model of fish that suggests B9 non-availability resulted into loss of appetite and, female gonadal dysfunction, which developed as cumulative effect of deficiency and altered appetite. The intricate interplay between folate deficiency and appetite along with the consequential implications for the synthesis and release of female reproductive hormones, warrant a thorough and in-depth exploration through further research.
Therapies and Treatment Responses for Hemophagocytic Lymphohistiocytosis in Children: A Single-center Retrospective Study
Authors: Yu Lihua , Lin Danna , Wu Li , Huang Lulu , Lai Xiaorong , Zhang Yajie , Zi Juan , Zhang Jingxin , Liao Xu , Liang Lichan , Zhang Guanmei , Yang Liucheng , Yang Lihua 
Published: January 2024

Abstract
Hemophagocytic lymphohistiocytosis (HLH) is a severe and life-threatening systemic inflammatory disorder. This retrospective study aims to evaluate the effectiveness of different therapies and identify early treatment responses maybe for indicators to overall survival. The study involved 102 patients from January 1, 2012, to December 31, 2022, using Cox regression to identify prognostic risk factors. Causal mediation analysis assessed the impact of various treatments on overall survival through the mediator of complete remission at 4 or 8 weeks. Achieving complete remission at 4 or 8 weeks suggests a favorable prognosis. However central nervous system involvement, high lactate dehydrogenase levels, and blood purification alone indicate poor prognosis (P < 0.05). HLH-94/04 protocol treatments had higher survival rates at 81.3% and 76.6%, compared to blood purification alone or combined with HLH-94/04 protocol treatments at 23.4% and 15.4%. Complete remission at 4 or 8 weeks resulted in higher survival rates of 90.7% and 92.3% respectively, compared to 2.9% and 3.4% for partial or no response. Compared to HLH-94 protocol treatment, blood purification alone has a 33.28% effect mediated by inducing complete remission at 4 weeks, which decreases to 26.56% at 8 weeks. Blood purification combined with HLH-94/04 protocol treatment with a higher mediation effect was 79.88% at 4 weeks compared to 51.95% at 8 weeks. HLH-94/04 protocol treatments led to complete remission and improved survival rates than Blood purification alone or combined with HLH-94/04 protocol treatment. Complete remission at 4 weeks may be a better mediator of overall survival than that at 8 weeks.
Bacteriological quality of raw meat and dairy products and antibiogram profile of bacterial pathogens in Jimma town, southwest Ethiopia
Authors: Hamza Muntaha , Lachisa Lata , Woyessa Delelegn 
Published: January 2024

Abstract
Background:Although consumers and venders have been benefiting from foods of animal origin, such foods are also perceived to be a major public health concern due to contamination, as they are ideal media for diverse microbes. Therefore, evaluation of bacteriological quality and safety of animal origin foods such as raw meat and dairy products and investigation of antibiogram profiles of selected pathogenic bacteria are important to ensure the safety of consumers.
Methods: A total of 120 food samples, 30 from raw meat, raw milk, cottage cheese, and cream cake, were collected from three local markets at the Agip, Kochi and Merkato sites in Jimma town from August 2020 to March 2021. The samples were transported to Jimma University Postgraduate Laboratory and analyzed following standard microbiological methods,including isolation, enumeration, and characterization of food pathogens.
Results:The highest mean microbial counts (colony forming units per gram or per milliliter) of aerobic mesophilic bacteria (7.37±0.68), aerobic spore-forming bacteria (5.91±0.56), staphylococci (5.59±0.74), Enterobacteriaceae (4.14±0.74) and coliforms (3.95±0.66) were recorded from raw meat. There was a statistically significant difference (p<0.005) with regard to microbial counts in all food samples. In all the food samples, Staphylococcus spp. was dominant (34.74%), followed by Bacillus spp. (25.93%) and Enterobacteriaceae (13.51%). Among the pathogens, Staphylococcus aureus in raw meat (43.33%), Bacillus spp. (20%) in milk, and Escherichia coli spp. (16.67%) in meat samples were dominant. Moreover, Salmonella spp. and Pseudomonas spp. from raw milk were highly resistant to nalidixic acid. Overall, Pseudomonas spp. (28.57%) and Escherichia coli spp. (8.33%) were resistant to a maximum of five antibiotics.
Discussion and conclusions: Food contamination problems in the present study could be due to poor personal hygiene and cross-contamination from farm to table. From the current study, the raw meat and dairy products in Jimma town were poor in terms of both microbial quality and safety. Regular inspection foods and training to all involved with the food at any stage are necessary to minimize the observed microbiological safety and quality problems. Moreover, the antibiotic resistance patterns of the isolated pathogens alarm the need for regular surveillance and monitoring of foods that are of animal origins and processing to design appropriate strategies for minimizing the possible risks caused by such pathogens.
Characterizing the Alterations in the Phyllosphere Microbiome in Relation to Blister Blight Disease in Tea Plants
Authors: Liu Shuyuan , Guo Nini , Jin Jiayi , Zhang Qiqi , Yu Youben 
Published: January 2024

Abstract
Background
Tea blister blight is a highly significant leaf disease of tea plants (Camellia sinensis (L.) O. Kuntze) that adversely affects global tea production. While the influence of commensal microbes on disease development has been observed, the overall impact of the phyllosphere microbiome and its response to pathogen invasion in tea leaves has largely not been explored. For this investigation, we utilized a blend of 16S ribosomal RNA (16S rRNA) and internal transcribed spacer (ITS) amplicon information to analyze the changes in the phyllosphere microbiome concerning different degrees of blister blight disease.
Results
The results showed that the fungal community on healthy leaves had greater alpha diversity than that on diseased leaves. However, there were no significant differences in the bacterial Sobs, Chao 1, or Shannon indices between healthy and diseased tea leaves. Principal coordinate analysis (PCoA) was employed to distinguish the microbial communities of tea plants with blister blight disease from those of healthy plants. Distinct operational taxonomic units (OTUs) were identified at different disease developmental stages using effect size analysis via linear discriminant analysis (LefSe). Moreover, redundancy analysis conducted at both the phylum and genus levels provided additional evidence of disparities in the bacterial and fungal compositions between healthy and diseased tea leaves. These findings suggested the occurrence of potential interactions between beneficial and pathogenic microorganisms within the phyllosphere region. To examine the main connecting nodes in the microbial interaction network, a co-occurrence analysis was performed. Certain nonpathogenic microorganisms, such as Pseudomonas, Aureionas, and Bulleromyces, could serve as key taxa within the network and hold promise as effective biological control agents against tea blister blight. Furthermore, the alterations in key biochemical constituents in tea leaves were examined, and the presence of abundant ECGs and select alkane components was shown to potentially contribute positively to the ability of tea plants to resist fungal infection.
Conclusions
We provide the dynamic characterization of in the phyllosphere microbiome of tea leaves responses to the development of tea blister blight disease. These results will help deepen the understanding of the relationship between the phyllosphere microbiome and tea plant health.
Toe grip strength training improves gait performance and prevents falls in patients after total knee arthroplasty
Authors: Mawarikado Yuya , Inagaki Yusuke , Fujii Tadashi , Kubo Takanari , Kido Akira , Tanaka Yasuhito 
Published: January 2024

Abstract
Falls after total knee arthroplasty (TKA) are common in knee osteoarthritis patients due to advanced age and implant-induced sensory function changes. We reported the influence of toe grip strength (TGS) on falls in knee osteoarthritis patients. This study aimed to determine whether TGS training after TKA is related to the screening assessment and incidence of falls. Elderly patients undergoing unilateral TKA were divided into TGS training (T-group) and control groups (C-group). Six types of training were conducted on bilateral toes. The primary outcomes were changes (Δ) in TGS and Timed up and go test (TUG) time from preintervention to 12 weeks post-intervention. Secondary outcomes involved several factors, including the occurrence of falls. T-group had a shorter TUG and stronger bilateral TGS than C-group. ΔTUG time was significantly correlated with ΔTGS on the affected side. There were significantly fewer falls in T-group than in C-group between 3 and 12 months after TKA. TGS training was useful in improving walking ability and preventing falls in postoperative TKA patients. The advantage of TGS training is that it is an unoperated muscle function, so the intervention can be conducted safely without specialist supervision unless the toes are impaired.
Quantifying the Strain: A Global Burden of Disease (GBD) Perspective on Musculoskeletal Disorders in the United States Over Three Decades, 1990 - 2019
Authors: Al-Ajlouni Yazan A. , Ta’ani Omar Al , Zweig Sophia , Gabr Ahmed , Ugwu Godstime Nwatu , Ta’ani Zaid Al , Islam Mohammad 
Published: January 2024

Abstract

Background
Musculoskeletal (MSK) disorders significantly contribute to global disability, especially in high-income countries. Yet, comprehensive studies on their epidemiological burden in the United States (US) are limited. Our study aims to fill this gap by characterizing the MSK disease burden in the US using Global Burden of Disease (GBD) data from 1990–2019.
Methods
We conducted an ecological study using descriptive statistical analyses to examine age-standardized prevalence and disability-adjusted life years (DALY) rates of MSK disorders across different demographics and states. The study also assessed the impact of risk factors segmented by age and gender.
Results
From 1990 to 2019, the burden of MSK disorders in the US increased significantly. Low back pain was the most prevalent condition. Age-standardized prevalence and DALY rates increased by 6.7% and 17.6%, respectively. Gout and other MSK disorders saw the most significant rise in DALY rates. Women experienced higher rates than men, and there were notable geographic disparities, with the District of Columbia having the lowest and North Dakota and Iowa the highest DALY rates. Smoking, high BMI, and occupational risks emerged as primary risk factors.
Conclusion
Our study highlights the escalating burden of MSK disorders in the US, revealing significant geographic and gender disparities. These findings highlight the urgent need for targeted health interventions, policy formulation, and public health initiatives focusing on lifestyle and workplace modifications. Region and gender-specific strategies are crucial in effectively managing MSK conditions, considering the influence of various risk factors.
Enhancing Financial Sentiment Analysis with a Hybrid Feature Selection Approach
Authors: Shams Reza , Khosravian Javad , Samimi Parnia 
Published: January 2024

Abstract

In contemporary times, as financial content proliferates across the internet and social networks, accurately predicting future trends has become an everyday necessity for providing optimal investment strategies. Sentiment Analysis (SA), a prominent subject in artificial intelligence, is pivotal in revealing people's emotions and opinions on specific matters. This paper aims to leverage text-mining algorithms to categorize a text-based financial dataset through sentiment analysis. Furthermore, a novel hybrid feature selection model is introduced to enhance the accuracy and performance when studying economic text. Initially, a widely recognized financial text dataset (FiQA) was chosen. After applying preprocessing techniques encompassing data cleansing and feature extraction, the feature pool is reduced by utilizing ANOVA, RFI, and CHI2 algorithms. Subsequently, the features are refined using the Particle Swarm Optimization (PSO) approach. In the subsequent stages, the text is classified by the Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), K-Nearest Neighbour (KNN), Naïve Bayes, and Support Vector Machine (SVM) algorithms, all of which yield notable performance outcomes. The results show that the ANOVA-PSO hybrid model for LSTM classification achieves an accuracy rate of 75%, superior to other Feature selection models.
Workplace Health Promotion ‘Best Buys’: a scoping review of workplace health initiatives in the United Kingdom
Authors: El-Osta Austen , Alaa Aos , Webber Iman , Schmidtke Kelly Ann , Kudrna Laura , Majeed Azeem 
Published: January 2024

Abstract
Background
Workplace health promotion (WHP) initiatives are crucial for enhancing public health. In 2019, the World Health Organisation (WHO) published the 'Best Buys' for noncommunicable diseases, but these do not encompass settings such as workplaces. This gap highlights the need for a comprehensive review of WHP initiatives to clarify best practices and feasible implementation strategies for WHP. The seven pillars of self-care offer a framework for creating new and more comprehensive WHP initiatives. Currently, however, the framework does not address workplace wellbeing in tandem with workplace inequalities.
Objective
We sought to compile and harmonise a list of ‘Best Buy’ recommendations for WHP contextualised within the seven pillars of self-care and the tackling inequalities pillar.
Methods
A pragmatic scoping review of WHP initiatives in the UK was also conducted. The initiatives were located using internet searches. Data from the initiatives were extracted and reviewed by independent researchers focusing on the relevance, evidential support, and applicability of the recommendations. The data were deductively organised using the seven pillars of self-care and the new pillar of inequality. Inductive coding was then used to highlight recurring patterns, novel ideas or unique perspectives around topics such as implementation within and across pillars. A red, amber, green (RAG) traffic light system was used to capture consensus agreements. The extracted recommendations were harmonised by refining and consolidating duplicate codes. The final list of recommendations was consolidated to arrive at a unique list of ‘WHP Best Buys’ that could be used to guide the creation of new initiatives.
Results
A total of 26 WHP initiatives from across the UK were initially identified, with 10 retained for in-depth analysis. These initiatives were characterised by a broad focus on workplace health, targeting various health concerns. The study synthesised 58 'Best Buy' recommendations for WHP. Key areas of focus included mental health, physical activity, healthy eating, risk avoidance, and tackling inequalities. Most of these strategies were practical and could be implemented with minimal to moderate resource investment, making them accessible in a wide range of workplaces.
Conclusion
This study provides a comprehensive list of actionable 'Best Buy' recommendations for WHP, offering valuable insights for organisations and policymakers. These recommendations are grounded in practical, cost-effective strategies suitable for diverse workplace contexts, emphasising the need for a holistic approach to employee health, considering individual wellbeing and organisational support structures.
Altered functional connectivity of thalamus subregions after sleep deprivation associated with impaired attention
Authors: Feng Sitong , Wu Ziyao , Zheng Sisi , Dong Linrui , Jia Hongxiao , Ning Yanzhe 
Published: January 2024

Abstract

Attentional function is significantly damaged by acute sleep deprivation (SD), which manifests with thalamic dysfunction and the abnormal functional connectivity (FC) of extensive brain networks. However, the FC between the thalamus subregions and cerebrum underlying attentional impairment after acute SD remains elusive. Here, we aimed to probe the relationship between the attentional function and the altered thalamocortical FC after acute SD. In this study, 25 healthy participants with regular sleep conducted attentional network test and received resting-state fMRI scan before and after 24 h of SD. Then, we analyzed the FC between the thalamus and cerebrum and relationships with attentional function in the enrolled subjects. Our results displayed that the participants showed the significantly lower alerting effect, higher executive effect, and a lower accuracy after acute SD. Compared to the RW state, we observed the decreased FCs between ‘somatosensory’ thalamic seed and left frontal pole, right frontal pole, left middle temporal gyrus (posterior division), and right middle temporal gyrus (posterior division). Furthermore, the reduced FC between the right middle temporal gyrus and ‘somatosensory’ thalamic seed was negatively associated with the change in orienting effect of the participants. Our findings reveal that the damaged thalamocortical FC after SD may contribute to the declined attention.
Advancing Women’s Empowerment through Data-Driven Systems: An Ontological Knowledge Model for Holistic Assessment
Authors: Padmavilochanan Aswathi , Rashed Tarek , G Gopakumar , Gressel Christie , Rao Bhavani R 
Published: January 2024

Abstract

Social systems that involve humans as interacting agents are complex due to the massively entangled interactions between the agents and the environment. Social engagement initiatives such as Women’s Empowerment (WE) exemplify a social system actively seeking sophisticated solutions for sharing information, acquiring knowledge, and conducting a comprehensive assessment of its impact on well-informed and effective decision-making. To facilitate this, we propose a Computational Social Science approach to assess WE. This involves integrating computational and data science methodologies into the AWESOME theoretical framework (Accelerating Women’s Empowerment through Systems Model. Despite the existence of valuable digital data, conducting a thorough evaluation of empowerment is challenging due to the variability and heterogene-ity in data source formats and types. To overcome this challenge, we propose a new ontology, AweOnto, tailored to the women’s empowerment domain and anchored in the AWESOME framework. AweOnto serves to bridge the diversity of data sources by establishing relationships between core domain concepts, functioning as an ontological knowledge model. The paper first presents how AweOnto is conceptually modeled based on the existing ontology development methodologies. Next, it discusses the model’s implementation using the protege tool owl format. The paper then demonstrates the usability of AweOnto for its application in information extraction in the form of domain-specific concept detection. The paper discusses the potential of applying ontology for exploring and extracting meta-information from unstructured texts through multi-labeled hierarchical annotations. The resulting annotations in the form of labels/tags are not intended to replace the available keywords but rather provide complimentary detailed information about the different aspects of WE.