bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictors of Organizational Commitment among Higher Education Institutions Faculty: Towards A Framework to Enhance Faculty Commitment
Authors: Quiambao Dolores T. 
Published: June 2023

This study focused on the predictors of organizational commitment of faculty members in Pampanga so as to serve as inputs for the conception of a framework using a sequential explanatory mixed method approach. The initial phase of the research involved a quantitative analysis to ascertain the factors influencing organizational commitment. These factors were categorized into three groups: personal, professional, and job factors. The personal factors of the study included age, sex, and civil status. The professional factors were divided into educational attainment, length of teaching at the current school and other school(s), while the job factors comprised of salary, benefits, incentives, and job satisfaction. For the 1st phase, 89 faculty served as respondents, while for the 2nd phase, 11 faculty served as participants. Meanwhile, the second part, which was the qualitative phase, selected participants from the same colleges and universities. An Analysis of Variance (ANOVA) was employed to ascertain the relationship between the independent variables and the dependent variable as well as to test hypotheses. The study's results indicate that personal factors and professional factors, namely, length of teaching service and salary, do not have significant effects on organizational commitment. However, incentives and job satisfaction were found to have significant impact on faculty commitment. These results were further confirmed through the qualitative phase, wherein three major themes emerged that connects the results of the quantitative phase namely, job security, organizational self-image, and leadership influence. Higher education institutions may consider the emergent framework as a reference in order to enhance faculty members’ organizational commitment.
Heterogeneity and associated factors of patients with polycystic ovary syndrome health behaviors: a latent class analysis
Authors: liu Ying , Guo Yunmei , Ding Rui , Yan Xin , Tan Huiwen , Wang Xueting , Wang Yousha , Wang LianHong 
Published: June 2023

Abstract
Objective
Using latent class to analyze whether there are subtypes of health behaviors in patients with PCOS can be addressed using targeted interventions.

Methods
October 2021 to June 2022, 471 PCOS patients were surveyed using the Health Promoting Lifestyle Profile Questionnaire. Latent class analysis (LCA) was used to identify subgroups of PCOS patients. Subsequent multinomial latent variable regressions identified factors that were associated with health behaviors.

Results
A three-class subtypes was the optimum grouping classification: (1)High healthy behavior risk; (2)high healthy responsibility and physical activity risk; (3)low healthy behavior risk. The multinomial logistic regression analysis revealed that (1)Single (OR = 2.061,95% CI = 1.207–3.659), Education level is primary school or below (OR = 4.997,95%CI = 1.732–14.416), participants is student (OR = 0.362,95%=0.138–0.948), participants with pregnancy needs (OR = 1.869,95%=1.009–3.463) were significantly more likely to be in the high healthy behavior risk subtypes; (2)The older the age (OR = 0.953,95%=0.867–1.047) and the larger the WC (OR = 0.954,95%=0.916–0.993), participants is married (OR = 1.126,95%=0.725–1.961), participants is employed ( OR = 1.418,95%=0.667–3.012) were significantly more likely to be in the high health responsibility and physical activity risk subtypes.

Conclusion
Patients with PCOS are a heterogeneous population with potential subtypes that may be suitable for customized multi-level care and targeted interventions.
A first census of skin cancer specialist nurses across UK secondary care trusts
Authors: Rammanohar Jashmitha , Kotecha Deeya , Hodgetts Jackie , Reeken Saskia , Daniels Susanna , Corrie Pippa G 
Published: June 2023

Abstract
Background
Skin cancer specialist nurses (SCSNs) support patients and work alongside healthcare professionals throughout the care pathway. Skin cancer management is rapidly evolving, with increasing and more complex treatment options now available, so the need for patient support is growing. While SCSNs are a major source of that support, the provision of SCSN resource across the UK has never previously been assessed. We therefore undertook a first SCSN census on 1st June 2021.

Methods
An electronic survey was disseminated to UK hospital trusts and registered skin cancer healthcare professionals. Responses were identifiable only by the respective trust name.

Results
112 responses from 87 different secondary care trusts were received; 92% of trusts reporting having at least 1 established SCSN post. Average SCSN staffing per trust was 2.4 (range 0–7) whole time equivalents, managing an average caseload of 83 (range 6–400) patients per week. SCSN workload had increased in 82% hospitals in the previous year and 30% of trusts reported being under-resourced. Most SCSN time was spent managing melanoma (as opposed to non-melanoma skin cancer) patients linked to surgical services. Regional variations existed, particularly associated with provision of lymphoedema services, nurse prescribing skills and patient access to clinical trials. The COVID-19 pandemic was associated with a marked increase in SCSN-led telemedicine clinics, but loss of training and education opportunities.

Conclusions
SCSNs based in secondary care hospitals play a major role supporting both clinicians and patients throughout the care pathway. This first UK census confirmed that SCSN workload is increasing and in one third of hospital trusts, the work was reported to outstrip the staffing available to manage the volume of work. Regional variations in SCSN resource, workload and job role, as well as availability of certain skin cancer services were identified, providing valuable information to healthcare commissioners concerned with service improvement.
Predictive value of albumin for intravenous immunoglobulin resistance in a large cohort of Kawasaki disease patients
Authors: Zhang Rui , Shuai Shuping , Zhang Hongxi , Cai Jianghui , Cui Na , Tang Mi , Xing Shasha , Gao Yu , Liu Xia , Yang Xiao 
Published: June 2023

Abstract
Background
Intravenous immunoglobulin (IVIG) has been the mainstay of treatment for Kawasaki disease (KD) over the past decades. However, 10–20% of KD patients are resistant to IVIG treatment which puts those patients at high risk of coronary artery lesions (CALs). Therefore, it is important to predict whether patients will be resistant to IVIG before the treatment. This study aimed to investigate the risk factors for IVIG non-responsive patients with KD.

Methods
This study enrolled patients diagnosed with KD and divided them into two groups, IVIG responders and IVIG non-responders. We compared the differences in demographics and clinical data between the two groups. Differences among the groups were analyzed by ANOVA and Chi-square analysis. Predictors of IVIG resistance were determined by multiple logistic regression analysis and receiver operating characteristic (ROC) curve analysis.

Results
In total, 907 KD patients were reviewed, with 841 IVIG responders and 66 IVIG non-responders. Patients in IVIG responders were younger than IVIG non-responders. The length of hospitalization of the IVIG non-responders was significantly longer than IVIG responders. The neutrophils%, C-reaction protein (CRP), and CRP/albumin ratio in IVIG responders were significantly lower than in IVIG non-responders (P < 0.05). The lymphocyte% and Albumin in IVIG responders were significantly higher than in IVIG non-responders. Multivariable logistic regression analysis demonstrated that albumin (OR = 0.881, 95% CI, 0.781 to 0.994, p-value = 0.039) was an independent risk factor for predicting IVIG resistance. The area under the ROC curve was 0.644, with a cut-off of ≤ 33.4 g/L determined by Youden’s index. The sensitivity and specificity in predicting IVIG resistance were 40.91% and 83.47%, respectively.

Conclusion
Albumin can serve as a potential predicting marker for IVIG resistance in KD. A lower albumin level may be useful for identifying KD patients with a high risk of IVIG resistance to guide further therapy strategies.
Dysregulation of histone modifications in bone marrow mesenchymal stem cells during skeletal ageing: roles and therapeutic prospects
Authors: Li Yujue , Hu Mingxing , Xie Jinwei , Li Shuangqing , Dai Lunzhi 
Published: June 2023

AbstractAge-associated bone diseases such as osteoporosis (OP) are common in the elderly due to skeletal ageing. The process of skeletal ageing can be accelerated by reduced proliferation and osteogenesis of bone marrow mesenchymal stem cells (BM-MSCs). Senescence of BM-MSCs is a main driver of age-associated bone diseases, and the fate of BM-MSCs is tightly regulated by histone modifications, such as methylation and acetylation. Dysregulation of histone modifications in BM-MSCs may activate the genes related to the pathogenesis of skeletal ageing and age-associated bone diseases. Here we summarize the histone methylation and acetylation marks and their regulatory enzymes that affect BM-MSC self-renewal, differentiation and senescence. This review not only describes the critical roles of histone marks in modulating BM-MSC functions, but also underlines the potential of epigenetic enzymes as targets for treating age-associated bone diseases. In the future, more effective therapeutic approaches based on these epigenetic targets will be developed and will benefit elderly individuals with bone diseases, such as OP.
Mesenchymal progenitor cells from non-inflamed versus inflamed synovium post-ACL injury present with distinct phenotypes and cartilage regeneration capacity
Authors: Krawetz Roman J. , Larijani Leila , Corpuz Jessica May , Ninkovic Nicoletta , Das Nabangshu , Olsen Alexandra , Mohtadi Nicholas , Rezansoff Alexander , Dufour Antoine 
Published: June 2023

Abstract
Background
Osteoarthritis (OA) is a chronic debilitating disease impacting a significant percentage of the global population. While there are numerous surgical and non-invasive interventions that can postpone joint replacement, there are no current treatments which can reverse the joint damage occurring during the pathogenesis of the disease. While many groups are investigating the use of stem cell therapies in the treatment of OA, we still don’t have a clear understanding of the role of these cells in the body, including heterogeneity of tissue resident adult mesenchymal progenitor cells (MPCs).

Methods
In the current study, we examined MPCs from the synovium and individuals with or without a traumatic knee joint injury and explored the chondrogenic differentiation capacity of these MPCs in vitro and in vivo.

Results
We found that there is heterogeneity of MPCs with the adult synovium and distinct sub-populations of MPCs and the abundancy of these sub-populations change with joint injury. Furthermore, only some of these sub-populations have the ability to effect cartilage repair in vivo. Using an unbiased proteomics approach, we were able to identify cell surface markers that identify this pro-chondrogenic MPC population in normal and injured joints, specifically CD82LowCD59+ synovial MPCs have robust cartilage regenerative properties in vivo.

Conclusions
The results of this study clearly show that cells within the adult human joint can impact cartilage repair and that these sub-populations exist within joints that have undergone a traumatic joint injury. Therefore, these populations can be exploited for the treatment of cartilage injuries and OA in future clinical trials.
Competing risk models to evaluate the factors for time to loss to follow-up among tuberculosis patients at Ambo General Hospital
Authors: Fufa Daba Bulto , Diriba Tadele Akeba , Dame Kenenisa Tadesse , Debusho Legesse Kassa 
Published: June 2023

Abstract
Background
A major challenge for most tuberculosis programs is the inability of tuberculosis patients to complete treatment for one reason or another. Failure to complete the treatment contributes to the emergence of multidrug-resistant TB. This study aimed to evaluate the risk factors for time to loss to follow-up treatment by considering death as a competing risk event among tuberculosis patients admitted to directly observed treatment short course at Ambo General Hospital, Ambo, Ethiopia.

Methods
Data collected from 457 tuberculosis patients from January 2018 to January 2022 were used for the analysis. The cause-specific hazard and sub-distribution hazard models for competing risks were used to model the outcome of interest and to identify the prognostic factors associated to treatment loss to follow-up. Loss to follow-up was used as an outcome measure and death as a competing event.

Results
Of the 457 tuberculosis patients enrolled, 54 (11.8%) were loss to follow-up their treatment and 33 (7.2%) died during the follow up period. The median time of loss to follow-up starting from the date of treatment initiation was 4.2 months. The cause-specific hazard and sub-distribution hazard models revealed that sex, place of residence, HIV status, contact history, age and baseline weights of patients were significant risk factors associated with time to loss to follow-up treatment. The findings showed that the estimates of the covariates effects were different for the cause specific and sub-distribution hazard models. The maximum relative difference observed for the covariate between the cause specific and sub-distribution hazard ratios was 12.2%.

Conclusions
Patients who were male, rural residents, HIV positive, and aged 41 years or older were at higher risk of loss to follow-up their treatment. This underlines the need that tuberculosis patients, especially those in risk categories, be made aware of the length of the directly observed treatment short course and the effects of discontinuing treatment.
Aftershocks following the 2011 Tohoku-Oki earthquake driven by both stress transfer and afterslip
Authors: Ueda Taku , Kato Aitaro 
Published: June 2023

AbstractAftershocks are a fundamental characteristic of seismicity, and their generation mechanism is mainly characterized by two physical models, stress transfer from large earthquakes and afterslip-induced stress loading. However, the contribution of each mechanism to aftershock generation remains unclear. Here we investigate the spatiotemporal variations in aftershock activity following the 2011 Tohoku-Oki earthquake by applying the Hierarchical Space–Time Epidemic-Type Aftershock Sequence (HIST-ETAS) model to the decade of recorded seismicity since the mainshock. Using the estimated HIST-ETAS model, we categorize the aftershocks into background earthquakes (which are caused by aseismic phenomena) and triggered earthquakes (which are caused by earthquake-to-earthquake interactions). Most of the earthquakes that occurred updip of the large coseismic slip zone along the Japan Trench are triggered earthquakes, consistent with the lack of afterslip in this area. Conversely, background earthquakes are the predominant earthquake type in the long-term downdip of the large coseismic slip zone, and they positively correlate with the afterslip evolution. Our results suggest the importance of combining these two end-member aftershock generation models to explain aftershock activity and thus provide new insights into the relationship between afterslip and spatiotemporal aftershock distribution. Our classifications may also contribute to the monitoring of afterslip in a given region that hosts a large earthquake, particularly where geodetic observation networks are too sparse to evaluate afterslip evolution.
Sex-Specific Accumulated Oxygen Deficit During Short- and Middle-Distance Swimming Performance in Competitive Youth Athletes
Authors: Massini Danilo Alexandre , Almeida Tiago André Freire , Macedo Anderson Geremias , Espada Mário Cunha , Reis Joana Francisca , Alves Francisco José Bessone , Fernandes Ricardo Jorge Pinto , Pessôa Filho Dalton Müller 
Published: June 2023

Abstract
Introduction
Since sex-specific accumulated oxygen deficit (AOD) during high-intensity swimming remains unstudied, this study aimed to assess AOD during 50, 100, and 200 m front-crawl performances to compare the responses between sexes and analyse the effect of lean body mass (LBM).

Methods
Twenty swimmers (16.2 ± 2.8 years, 61.6 ± 7.8 kg, and 48.8 ± 11.2 kg LBM—50% males) performed 50, 100, and 200 m to determine accumulated oxygen uptake (V̇O2Ac). The swimmers also performed an incremental test from which five submaximal steps were selected to estimate the oxygen demand (V̇O2demand) from the V̇O2 versus velocity adjustment. V̇O2 was sampled using a gas analyser coupled with a respiratory snorkel. AOD was the difference between V̇O2demand and V̇O2Ac, and LBM (i.e. lean mass not including bone mineral content) was assessed by dual-energy X-ray absorptiometry (DXA).

Results
A two-way ANOVA evidenced an AOD increase with distance for both sexes: 19.7 ± 2.5 versus 24.9 ± 5.5, 29.8 ± 8.0 versus 36.5 ± 5.8, and 41.5 ± 9.4 versus 5.2 ± 11.9 ml × kg−1, respectively, for 50, 100, and 200 m (with highest values for females, P < 0.01). Inverse correlations were observed between LBM and AOD for 50, 100, and 200 m (r = − 0.60, − 0.38 and − 0.49, P < 0.05). AOD values at 10 and 30 s elapsed times in each trial decreased with distance for both sexes, with values differing when female swimmers were compared to males in the 200 m trial (at 10 s: 2.6 ± 0.6 vs. 3.4 ± 0.6; and at 30 s: 7.9 ± 1.7 vs. 10.0 ± 1.8 ml × kg−1, P < 0.05).

Conclusion
LBM differences between sexes influenced AOD values during each trial, suggesting that reduced muscle mass in female swimmers plays a role on the higher AOD (i.e. anaerobic energy) demand than males while performing supramaximal trials.
Supporting students’ self-regulated learning in online learning using artificial intelligence applications
Authors: Jin Sung-Hee , Im Kowoon , Yoo Mina , Roll Ido , Seo Kyoungwon 
Published: June 2023

AbstractSelf-regulated learning (SRL) is crucial for helping students attain high academic performance and achieve their learning objectives in the online learning context. However, learners often face challenges in properly applying SRL in online learning environments. Recent developments in artificial intelligence (AI) applications have shown promise in supporting learners’ self-regulation in online learning by measuring and augmenting SRL, but research in this area is still in its early stages. The purpose of this study is to explore students’ perceptions of the use of AI applications to support SRL and to identify the pedagogical and psychological aspects that they perceive as necessary for effective utilization of those AI applications. To explore this, a speed dating method using storyboards was employed as an exploratory design method. The study involved the development of 10 AI application storyboards to identify the phases and areas of SRL, and semi-structured interviews were conducted with 16 university students from various majors. The results indicated that learners perceived AI applications as useful for supporting metacognitive, cognitive, and behavioral regulation across different SRL areas, but not for regulating motivation. Next, regarding the use of AI applications to support SRL, learners requested consideration of three pedagogical and psychological aspects: learner identity, learner activeness, and learner position. The findings of this study offer practical implications for the design of AI applications in online learning, with the aim of supporting students’ SRL.
Key trends in morbidity and mortality rate due to ovarian cancer in Ukraine
Authors: Romaniv M. , Terenda N. 
Published: June 2023

Introduction. Ovarian cancer is characterized by the unfavorable progression and is in the first place within the structure of women’s mortality rate due to oncogynecological disorders.
The purpose is to conduct the comparative analysis of the morbidity and mortality rate due to ovarian cancer before COVID-19 pandemic and during quarantine measures.
Materials and methods. We conducted the analysis based on the statistical data from the National Cancer Register of Ukraine 2015 to 2021 without temporarily occupied territories using the statistical method, that is, analysis of time series. We analyzed the morbidity and mortality rate, distribution by age, structure of detection stages for ovarian cancer by TNM classification, detection rate of patients with ovarian cancer during preventive examinations.
Research results and their discussion
Long quarantine measures caused by COVID-19 pandemic have led to the broken communication between female patients and doctors within the primary and special medical assistance: limited possibility or full impossibility of getting a consultation by the general practitioner/family doctor due to a large number of COVID-19 patients, limited access to specialized healthcare institutions, personal fear of female patients to catch COVID-19 in healthcare institutions. These conditions have made women postpone their visits to doctors and a share of female patients with oncogynecological disorders detected at the stage ІІІ to IV by TNM classification increase.
2015 to 2019 there was a trend in decrease in the share of patients with ovarian cancer detected during preventive examinations by 19.7 %, which increased during quarantine measures due to COVID-19 pandemic (-27.4 %).
2015 to 2019 there was a stated trend in decrease in the share of detected patients with ovarian cancer at the stage I to II (-1.4 %) and III (-9.3 %) by TNM classification and increase in the share of detected patients with ovarian cancer at the stage IV (+17.2 %). During quarantine measures the share of patients with ovarian cancer at the stage I to II and III by TNM classification continued to decrease (-10.3 % and -0.7 %, respectively) and the share of patients with ovarian cancer at the stage IV increased (+20.4 %).
The decrease in the share of detected patients with ovarian cancer during preventive examinations is one of the factors for detecting patients with the extensive-stage disease, which was confirmed both at the national and regional level.
Conclusion. Obtained data are evidence of the fact that the morbidity rate due to ovarian cancer insignificantly increased (+3.9 %) 2015 to 2019 and decreased by 8.6 % during COVID-19 pandemic. The morbidity rate increased among women aged from 45, especially at the age 65 to 69. The decrease in the share of detected patients with ovarian cancer during preventive examinations is one of the factors for detecting patients with the extensive-stage disease, which was confirmed both at the national and regional level.