bluuebunny/crossref_metadata_2025_split huggingface dataset:
The distributivity of extended semi-t-operators over extended S-uninorms on fuzzy truth values
Authors: Yang Bin , Li Wei , Liu Yuanhao , Xu Jing 
Published: August 2023

Abstract
Inspired by the thought of distributivity between semi-t-operator and S-uninorm, this paper primarily explores the distributivity between extended semi-t-operator and extended S-uninorm on fuzzy truth value.Firstly, Zadeh-extended semi-t-operator and S-uninorm are proposed on fuzzy truth value and some results of extended semi-operator are studied under special fuzzy truth values.Then, it concentrates on the sufficient condition about left and right distributivity of extended semi-t-operator over extended S-uninorm under the condition that semi-t-operator is left and right distributive over S-uninorm, respectively.Finally, when parameters satisfy different cases, sufficient conditions for the distributivity between extended semi-t-operator and extended S-uninorm are given under the condition that semi-t-operator satisfies distributivity or conditional distributivity over S-uninorm.
Combined antifungal activity of cyclic lipopeptides and cinnamon extract: From in vitro experiments to the control of Fusarium wilt of banana
Authors: Ramírez-Mejía Julieta M. , Aguilera-Galvez Carolina , Kema Gert H.J. , Valencia-Riascos Luisa M. , Zapata-Henao Sebastian , Gómez Luis A. , Villegas-Escobar Valeska 
Published: August 2023

Abstract
Fusarium wilt of banana (FWB) caused by soil-borne Fusarium oxysporum f.sp. cubense (Foc), is a widely distributed disease that generates devastating losses in banana. The most aggressive Foc tropical race 4 (TR4), attacks Cavendish clones and a diverse range of other banana varieties. Management practices to suppress Foc are emerging, however they are challenging. Therefore, enhancing biological control activities could potentiate FWD control practices. Here we determine the antifungal synergistic effect of plant-based cinnamon (Cinnamomum zeylanicum) extract and Bacillus tequilensis EA-CB0015 cyclic lipopeptides against Fusarium sp. strains in vitro and in banana plants in greenhouse. We found, through a bioprospecting assay of 17 plant-based natural extracts, that cinnamon was highly active against Foc isolate IB (race 1). Furthermore, cinnamon and cyclic lipopeptides inhibited different Fusarium spp. strains belonging to race 1 and TR4, and their combination increased 1.4-fold the effect of the single extracts in vitro. Our results demonstrate that soil concentration of F. odoratissimum TR4-II5 was reduced by 78.5% with the combination treatment in a soil microcosm system. Although, while the combination reduced external FWB symptoms, only cinnamon extract had a significant impact on internal symptoms in plants. Taken together, the biological control effect of cyclic lipopeptides with cinnamon extract on Fusarium spp. supports their function towards increasing soil health and reducing disease intensity and suggests that the combination enhances the effect of the single extracts.
Implementation study of virtual goals of care consultation for advanced frailty: Lessons learned from the Pandemic
Authors: Shetty Nabha , Miller Ashley P. , Hill Tanya , Buckler Melissa , Mallery Laurie , Krueger-Naug Anne Marie , von Maltzahn Maia , Tinning Amanda , Moorhouse Paige 
Published: August 2023

Abstract
Background
Long-term care (LTC) residents disproportionately experienced critical illness and death in the setting of COVID-19. In response, a virtual specialist consultation service known as the "Med-LTC program" was developed to support residents and their families with advance care planning to establish acceptable levels of health care intervention. The program significantly improved goals of care to align with resident frailty and expected outcomes in the event of an acute health crisis. A post-implementation inquiry explored the factors that influenced the program success to inform ongoing collaboration between acute care and LTC sectors in the delivery of frailty-informed care.
Methods
The factors that impacted program effectiveness and implementation outcomes were systematically explored using the Consolidated Framework for Implementation Research (CFIR). Structured interviews (n = 20) were conducted with LTC leadership, LTC healthcare staff, and members of the program. Qualitative data were extracted from the transcripts and coded to the domains and constructs of the CFIR.
Results
The CFIR constructs of inner setting, intervention characteristics, and individual characteristics were most strongly represented, with emphasis on tension for change, relative priority, relative advantage, and other personal attributes (shared team vision grounded in pre-existing social bonds) featuring prominently. Challenges in terms of complexity, cost, and relative priority all contributed to the ultimate lack of sustainability of the virtual program in the post-acute phase of the COVID-19 pandemic.
Conclusions
Application of the CFIR identified key barriers to and enablers of program success and providing important insights into factors supporting the development of more sustainable future iterations of virtual specialist consultation to establish goals of care in LTC.
The Triad of Physiological Challenges: Investigating the Intersection of Sarcopenia, Malnutrition, and Malnutrition-Sarcopenia Syndrome in COPD Patients - A Cross-Sectional Study
Authors: M Yogesh , Patel Jenish , Makwana Naresh , Mody Mansi 
Published: August 2023

Abstract
BACKGROUND
One of the most prevalent respiratory disorders in modern society is chronic obstructive pulmonary disease (COPD). Frequent comorbidities in COPD patients are abnormal nutritional status and body composition variations. Malnutrition-sarcopenia syndrome, which occurs when the two conditions – malnutrition and sarcopenia – coexist, raises the risk of death more than either condition alone. The current study sought to determine the prevalence of malnutrition, sarcopenia, and malnutrition-sarcopenia syndrome in COPD patients as well as the association between these diseases and the severity of COPD.
METHODS
The study was a cross-sectional study conducted on hospitalized COPD patients. The sample size of the study was calculated to be 160. A self-structured questionnaire was used to collect the data, containing sociodemographic characteristics, clinical profiles, anthropometric assessment, and bioimpedance indices. Hand grip was measured by a Hand Dynamometer. Assessment of the risk of malnutrition was performed using the Mini Nutritional Assessment-Short Form questionnaire and was confirmed by GLIM criteria. The COPD assessment test (CAT) tool determined the severity of the condition. For the data analysis, comparisons were made using Student’s t test and Mann–Whitney test in bivariate analysis. Multivariate logistic regression analyses were performed considering the outcomes of COPD patients by CAT scores, prolonged length of stay, and hospital readmission six months after discharge.
RESULTS
The mean age of the participants was 48±5 years. Approximately 61.9% were found to be sarcopenic. Approximately 45.6% of study subjects had malnutrition. Malnutrition sarcopenia syndrome was diagnosed in 38.1% of patients. The study analysis revealed that COPD patients with malnutrition-sarcopenia syndrome had more than twice the odds of prolonged hospital stay, re-admission within 6 months, and higher CAT scores.
CONCLUSION
The study revealed a high prevalence of sarcopenia, malnutrition, and malnutrition sarcopenia syndrome in patients with COPD. These conditions were found to be statistically significant with prolonged length of stay, re-admission within 6 months, and CAT scores. The findings highlight the importance of addressing these conditions as part of the management of the patients.
LINC01638 Sustains Human Mesenchymal Stem Cell Self-Renewal and Competency for Osteogenic Cell Fate
Authors: Gordon Jonathan , Tye Coralee E. , Banerjee Bodhisatwa , Ghule Prachi N. , Wijnen Andre J. , Kabala Fleur S. , Page Natalie A. , Falcone Michelle M. , Stein Janet L. , Stein Gary S. , Lian Jane B. 
Published: August 2023

Abstract
The skeleton forms from multipotent human mesenchymal stem cells (hMSCs) competent to commit to specific lineages. Long noncoding RNAs (lncRNAs) have been identified as key epigenetic regulators of tissue development. However, regulation of osteogenesis by lncRNAs as mediators of commitment to the bone phenotype is largely unexplored. We focused on LINC01638, which is highly expressed in hMSCs and has been studied in cancers, but not in regulating osteogenesis. We demonstrated that LINC01638 promotes initiation of the osteoblast phenotype. Our findings reveal that LINC01638 is present at low levels during the induction of osteoblast differentiation. CRISPRi knockdown of LINC01638 in MSCs prevents osteogenesis and alkaline phosphatase expression, inhibiting osteoblast differentiation. This resulted in decreased MSC cell growth rate, accompanied by double–strand breaks, DNA damage, and cell senescence. Transcriptome profiling of control and LINC01638-depleted hMSCs identified > 2,000 differentially expressed mRNAs related to cell cycle, cell division, spindle formation, DNA repair, and osteogenesis. Using ChIRP-qPCR, molecular mechanisms of chromatin interactions revealed the LINC01638 locus (Chr 22) includes many lncRNAs and bone-related genes. These novel findings identify the obligatory role for LINC01638 to sustain MSC pluripotency regulating osteoblast commitment and growth, as well as for physiological remodeling of bone tissue.
Persian Sentiment Analysis via a Transformer Model concerning Banking Sector
Authors: Haddadi Seyed Jamal , Khoeini Elham , Salmani Pezhman , Beygi Mehdi , Khoshkar Mehrdad Haddad 
Published: August 2023

Abstract
The competitive landscape of a country's banking sector necessitates an in-depth understanding of customer satisfaction levels concerning the services provided. Presently, customers predominantly express their feedback via social media platforms in the form of posts and comments. This study endeavors to create a highly accurate sentiment detection algorithm for the Iranian banking system, utilizing a transformer model. In the initial stages, we collected data by crawling comments from Twitter, which are subsequently labeled and filtered according to the names of Iranian banks, dating from 2019. Following this, an optimized Deep Neural Network (DNN)-based pre-trained ParsBERT model, a monolingual Persian model, is fine-tuned using this data. Finally, our model is evaluated on a test dataset, and the results are validated by comparing them with the original multilingual BERT, Bidirectional Long Short-Term Memory (Bi-LSTM) network, and four other classification methods. To address the Out-Of-Vocabulary (OOV) issue, a character-level embedding is incorporated in conjunction with the word-level embedding. This approach aids in tackling the multitude of variations observed in non-native words, extracting character-level features using a character-level Bi-LSTM. The proposed model highlights the statistical superiority of our method when compared to the other methods evaluated.
Associations of Transport and Recreational Walkability with Health and Life Satisfaction
Authors: Hsieh Hsu-Sheng 
Published: August 2023

Abstract
Background: The relationships of well-being with walking and built environments have been investigated. However, few studies have differentiated the impacts of environment walkability for transport and recreation on well-being. Therefore, this study identified perceived environment walkability (PEW) for transport and recreation separately and examined their associations with health status and life satisfaction.
Methods: Data were collected from 300 residents in Taiwan by face-to-face questionnaire interviews. Structural equation modeling was used to examine the relationship between PEW, transport and recreational walking, body mass index, and health and life satisfaction, incorporating the influences of sociodemographics.
Results: Land use mix-access and street connectivity reflecting PEW for transport facilitated transport walking, which did not impact well-being. By contrast, these two factors, aesthetics, land use mix-diversity, and walking facilities reflecting PEW for recreation facilitated recreational walking, improving health and life satisfaction. Moreover, car ownership increased body mass index, undermining health and life satisfaction.
Conclusions: Policies should shape different environments for transport and recreational walking, improve recreational walking environments for well-being, and reduce car ownership to prevent obesity.
The effect of Nordic Hamstring Exercise on the muscle strength and architecture of Hamstring：A Systematic Review and Meta-analyses
Authors: Wang zhenmin , Su MeiHua , Xu YaMin , Jin JiaHui , Chen DeQuan , Zou YongQiang 
Published: August 2023

Abstract
Purposes: In this paper, we used Meta-analysis to study the effect of NHE on hamstrings and to find the scientific evaluation index of NHE effect.
Method: In this paper, we systematically searched all data since the establishment of the database through PubMed, Embase, Web of science, and Cochrane Library databases, with PubMed search formula (((Nordic) OR (Russian)) OR (NHE)) AND (((((((Hamstring) OR (Hamstring Muscle)) OR (Muscle, Hamstring)) OR (Muscles, Hamstring)) OR (Biceps Femoris)) OR (Semimembranosus)) OR (Semitendinosus)).The search field was full text and the search date of April 7, 2022. The quality evaluation, Meta-analysis, sensitivity analysis and publication bias analysis of the included literature were performed using Review manager 5.4 software.
Results: A total of 950 studies were retrieved for this study, and after strict inclusion and exclusion, a total of 11 studies were included, with 497 subjects, including 282 in the test group and 215 in the control group, and the overall quality of the literature was high. NHE can be used as an effective intervention method, which can significantly improve the eccentric hamstring strength peak(MD=46.16, 95% Cl: 28.70-63.63, P=0.00001<0.01) and the eccentric peak torque of the hamstrings (MD=10.87，95%CI：3.86-17.89，P=0.002<0.01) and the eccentric peak torque of the hamstrings muscles to body weight (MD=0.17, 95% CI: 0.01-0.33, P=0.04<0.05), increase BFLH fascicle length (MD=0.62, 95% CL: 0.11-1.12，P=0.02<0.05),improve H:Q functional ratio(MD=0.07,95%CI: 0.02-0.13, P=0.01<0.05),and decrease the hamstrings eccentric angle of peak torque（APT） (MD=2.53, 95% CI: 4.63-0.43, P=0.02<0.05).
Immigrated students’ voices at school environment: an analysis of policy documents through school websites
Authors: Välimäki Maritta , Hipp Kirsi , Acton Faye , Echsel Angelika , Grădinaru Ioan-Alexandru , Hahn-Laudenberg Katrin , Schulze Christina , Stefanek Elisabeth , O'Brien Niamh 
Published: August 2023

Abstract
Background
The development of immigrant friendly schools is an important target across educational settings. However, relatively few studies have specifically examined mechanism how student voices are heard in European school context. This study examined the extent to which student voices have been addressed in European schools as evidenced from websites of schools located in high migrant areas in six European countries: Austria, England, Finland, Germany, Romania, and Switzerland.
Methods
Between 2 March and 8 April 2021, we reviewed the publicly available policy documents on school websites to ascertain how student voice practices are carried out in schools as described in the documents. The selected schools were in areas of high immigration. Pre-designed categories were applied to the documents extracted from the websites using a four-step analytic approach (finding, selecting, appraising, and synthesizing the data). A combination of qualitative and quantitative approaches with descriptive statistics (n, %, Mean, SD, range) was used for the data analysis.
Results
A total of 412 documents from 305 schools were extracted (49–110 documents per country). The most common documents were anti-bullying or violence prevention strategies (75/412) and mission statements (72/412). There were disparities between countries and schools about how hearing students’ voices and including students in decision-making in schools were described in the documents. Limited evidence was apparent as to how students are listened to in their schools based on policy documents.
Conclusions
Our document analysis based on publicly accessible school websites suggest that student voices are less frequently described in school written policy documents in our sample of European schools. Our findings provide a baseline to further monitor activities, not only at school level but also to any governmental and local authorities whose intention is to serve the public and openly share their values and practices with community members.
Node-adaptive graph Transformer with structural encoding for accurate and robust lncRNA-disease association prediction
Authors: Li Guanghui , Bai Peihao , Liang Cheng , Luo Jiawei 
Published: August 2023

Abstract
Background Long noncoding RNAs (lncRNAs) are integral to a plethora of critical cellular biological processes, including the regulation of gene expression, cell differentiation, and the development of tumors and cancers. Predicting the relationships between lncRNAs and diseases can contribute to a better understanding of the pathogenic mechanisms of disease and provide strong support for the development of advanced treatment methods.Results Therefore, we present an innovative node-adaptive Transformer model for predicting unknown associations between lncRNAs and diseases (GNATLDA). First, we utilize the node-adaptive feature smoothing (NAFS) method to learn the local feature information of nodes and encode the structural information of the fusion similarity network of diseases and lncRNAs using Structural Deep Network Embedding (SDNE). Next, the Transformer module, which contains a multi-headed attention layer, is used to learn global feature information about the nodes of the heterogeneous network, which is used to capture potential association information between the network nodes. Finally, we employ a Transformer module with two multi-headed attention layers for learning global-level embedding fusion. Network structure coding is added as the structural inductive bias of the network to compensate for the missing message-passing mechanism in Transformer. Our model accounts for both local-level and global-level node information and exploits the global horizon of the Transformer model, which fuses the structural inductive bias of the network to comprehensively investigate unidentified associations between nodes, significantly increasing the predictive effectiveness of potential interactions between diseases and lncRNAs. We conducted case studies on four diseases; 55 out of 60 interactions between diseases and lncRNAs were confirmed by the literature.Conclusions Our proposed GNATLDA model can serve as a highly efficient computational method for predicting biological information associations.
Strengthening Virtual Learning Strategies for Active Learning in Crisis Situations; A Mixed-Method Study in the COVID-19 Pandemic
Authors: Jahani Mohammad-Ali , Ghanavatizadeh Aram , Delavari Sahar , Abbasi Mahdi , Nikbakht Hossein-Ali , Farhadi Zeinab , Darzi Alameh , Mahmoudi Ghahraman 
Published: August 2023

Abstract
Background
Medical universities are responsible for educating and training healthcare workers. One of the fields significantly impacted by the pandemic is medical education. The aim of this study is to identify strategies for enhancing virtual learning for active learning and finding solutions for improving its quality.
Methodology:
This mixed-method (quantitative-qualitative) research was conducted in 2023 at three selected universities in the Mazandaran province. In the quantitative phase, 507 students participated via stratified random sampling using a standard questionnaire. In the qualitative phase, data was collected through semi-structured interviews with 16 experts until data saturation was achieved. SPSS21 and MAXQDA10 software were used for data analysis.
Results
In multivariate regression analysis, an increase in one point in the dimensions of student-teacher interaction, active time, immediate feedback, and active learning corresponded to an average increase in learning scores of 0.11, 0.17, 0.16, and 1.42 respectively (p ≤ 0.001). After the final analysis in the qualitative phase, four main domains (infrastructure, resources, quantity of education, and quality of education) and 16 sub-domains with 84 items were identified.
Conclusion
The greatest challenge in virtual education is the interaction and cooperation between students and teachers. The implementation of the identified strategies in this research could provide useful evidence for policymakers and educational administrators to implement interventions aimed at addressing deficiencies and enhancing virtual learning.
Global burden and influencing factors of chronic kidney disease due to type 2 diabetes in adults aged 20-59 years, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019
Authors: Xie Dandan , Ma Tianpeng , Cui Haoliang , Li Jing , Zhang Aihua , Sheng Zhifeng , Xie Yiqiang 
Published: August 2023

Abstract
Background
This study aimed to investigate the burden of chronic kidney disease due to type 2 diabetes (CKD-T2D) and its influencing factors in the population aged 20–59 years from 1990 to 2019, utilizing data from the Global Burden of Disease (GBD) Study.
Methods
The GBD Study data were analyzed to assess the global age-standardized incidence, death, and disability adjusted life years (DALY) rate of CKD-T2D. Decomposition analysis was employed to explore the effects and contributions of population growth, aging, and epidemiological changes on CKD-T2D DALY. Additionally, the study investigated the correlation between attributable risk factors and the socioeconomic development index (SDI).
Results
Globally, the age-standardized incidence of CKD-T2D showed an upward trend (AAPC = 0.7%, P < 0.05), with slight increases observed in the age-standardized death rate (AAPC = 0.2%, P < 0.05) and DALY rate (AAPC = 0.3%, P < 0.05). Incidence, mortality, and DALY rates were higher with increasing age and among males. Population growth and aging were identified as significant drivers of CKD-T2D DALY burden in the 20–59 age group, while high systolic blood pressure and high body-mass index were the primary attributable risk factors. High SDI countries exhibited higher contributions from body-mass index, whereas low SDI countries were more impacted by high systolic blood pressure. The population attributable fraction of CKD-T2D DALY caused by high body-mass index positively correlated with SDI (R = 0.62 to 0.65, P < 0.001), while high temperature (R = -0.35 to -0.38, P < 0.001) and lead exposure (R = -0.62 to -0.64, P < 0.001) showed negative correlations.
Conclusions
The burden of CKD-T2D represents an increasing concerning global public health issue. Targeted disease screening and early intervention measures for individuals aged 20–59 years can effectively alleviate the burden of CKD-T2D. High systolic blood pressure and high body-mass index are major attributable risk factors, and their correlation with SDI should be considered when formulating prevention and control strategies.