bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiple Sclerosis Patients taking Glucagon-like Peptide-1 Receptor (GLP-1) Agonists: A Single-Institution Retrospective Cohort Study of Tolerability and Weight Loss
Authors: Udawatta Methma , Fidalgo Nicholas , Mateen Farrah 
Published: June 2024

Abstract

Obesity is a risk factor for developing and worsening multiple sclerosis (MS) and is often comorbid with MS, exacerbating disability. We retrospectively studied MS patients starting glucagon-like peptide-1 (GLP-1) agonists at the Mass General Brigham, U.S.A. (January 2005-June 2024). Patients (n=49) were mostly female (73%), average age 54 years old, with relapsing disease (78%) and an average starting body mass index (BMI) of 39.7 kg/m2 (range 25.9, 58.9 kg/m2; n=43 clinically obese or BMI >30 kg/m2) and weight of 110.6 kg (245.6 lbs.; range 68-155.8kg, 150-343.4 lbs.). The most commonly taken disease modifying therapy (DMT) was ocrelizumab (39%) while 24% of patients were not taking any DMT. The most common comorbidities were hypertension (59%), hyperlipidemia (55%), and diabetes mellitus (41%). Patients took GLP-1 agonists for an average of 24.2 months (median 21.4; range 3.2, 88.5 months). Patients lost on average 0.47kg/month (1.03 lbs./month; range of total weight change: 27.7 kg (61.1 lbs.) lost, 7.7 kg (17.0 lbs.) gained). Among overweight and obese patients with MS, those with a higher starting BMI tended to lose more weight. 29% experienced side effects of the GLP-1 drugs with 3 discontinuations due to tolerability. Four patients accrued new demyelinating lesions on MRI (one on no DMT, two started on a high-efficacy DMT for the first time in the past 6 months, and one on a high-efficacy DMT) and one patient experienced a new MS attack (treated with interferon beta-1a). Our early experience suggests GLP-1 agonists are safe in MS patients, who have a similar tolerability to the general population on this medication class and measurable and sustained but somewhat less than anticipated weight loss.
Reading and Writing Research Based on Surname Group in a University (2012-2023)
Authors: Liu Jiexuan 
Published: June 2024

Abstract

The study aims to investigate how surnames influence academic achievements and hierarchy in higher education. It analyzes millions of book circulation records at Nanjing Normal University’s library from 2012 to 2023. The study employs various data analysis techniques such as Kendall coefficients, binary logistic regression, factor analysis, scale optimization, survival analysis, factor analysis, and structural equation modeling to examine the reading and writing patterns of the top 300 surnames. The results are analyzed within the framework of female-dominated education and teacher preparation. The results suggest a noticeable pattern of consistency in 12-year book borrowing and renewing habits within the top 300 reader surnames, and a complex hierarchical misalignment between the reader hierarchy, book category hierarchy, and author hierarchy, resulting in a staggered correspondence. Since the COVID-19 pandemic, readers with surnames above the average have shown a decreased willingness to use the book renewal service. This decreased intention has had a more pronounced effect on the logical rationality of readers, resulting in a negative impact on females and literary books, and a positive impact on STEM books.
Tailoring implementation strategies to promote brief verbal intervention for smoking cessation among primary healthcare providers: a hybrid III multi-center randomized factorial trial
Authors: Chen Jiangyun , Yang Jiao , Liu Siyuan , Luo Lingzi , He Wenjun , Zhou Haozheng , Ren Na , Zhou Yan , Cai Yiyuan , Luo Huanyuan , Lin Zhiwen , Xu Dong (Roman) 
Published: June 2024

Abstract

Background
The current situation regarding tobacco consumption in China is grave, posing a significant threat to the health of smokers. The Chinese government has implemented several policies aimed at controlling tobacco use. Brief verbal Intervention for Smoking Cessation (BISC) has been demonstrated as highly effective and cost-efficient. Primary Healthcare (PHC) providers play a pivotal role as pioneers in executing BISC. However, the current execution of BISC within PHC providers in China falls short of ideal standards. Thus, this study aims to devise more suitable implementation strategies to facilitate the implementation of BISC by PHC providers in China.
Method
This study will utilize the Multiphase Optimization Strategy (MOST) to conduct two-phase randomized trial in Guangdong, Hubei and Xinjiang in China. In the preparation phase, a scoping review will be conducted to examine current findings on the facilitators and barriers of BISC implementation by PHC providers, employing the Consolidated Framework for Implementation Research (CFIR). Expert Recommendations for Implementing Change compilation (ERIC) will inform the development of primary implementation techniques. Following an online survey utilizing best-worst scaling (BWS) to rank the most effective implementation techniques, stakeholder discussions will be conducted to create a list of candidate implementation techniques and their respective levels, as well as to identify optimization objectives. Subsequently, in the optimization phase, a factorial trial involving more than 152 participants will be conducted to ascertain the optimized combination of implementation techniques, which will then be validated in the evaluation phase. The study outcomes align with the principles of Proctor's Implementation Outcomes Framework (IOF) and RE-AIM. Primary (delivery of BISC), secondary (coverage of BISC delivery), and other outcomes (applicability, acceptance, and costs of BISC delivery) will be collected through Unannounced Standardized Patient (USP) visits, semi-structured interviews, NPT-guided questionnaires, and administrative data. Modified Poisson Regression Models (MPRM) will be employed to test hypotheses concerning the main effects of the implementation techniques and their interaction effects on the primary outcome of the study.
Discussion
This protocol outlines the utilization of the MOST framework to customize the optimized combination of implementation techniques for BISC within the local context.
Trial registration
Chinese Clinical Trial Registry ChiCTR2300069008. Registered on August 19, 2022.
Influence of Preprocessing Methods of Automated Milking Systems Data on the Prediction of Mastitis with Machine Learning Models
Authors: B.O. Kashongwe , T. Kabelitz , T. Amon , C Ammon , B. Amon , M. Doherr 
Published: June 2024

Abstract

Missing data and class imbalance represent a hindrance to accurate prediction of rare events such as mastitis (udder inflammation). Various methods are susceptible to handle the problem, however, little is known about their individual and combined effects on the performance of ML models fitted to AMS (automated milking system) data for mastitis prediction. We apply imputation and resampling to improve performance metrics of classifiers (logistic regression, stochastic gradient descent, multilayer perceptron, decision tree and random forest). Three imputation methods: simple imputer (SI), multiple imputer (MICE) and linear interpolation (LI) were compared to complete cases. Three resampling procedures: synthetic minority oversampling technique (SOMTE), Support Vector Machine SMOTE and SMOTE with Edited Nearest Neighbours were compared. We evaluated different techniques by calculating precision, recall, F1 Score and compared models based on kappa score. Both imputation and resampling techniques improved models performance. Complete case analysis suited the Stochastic Gradient Descent (SGD) Classifier better than resampling or imputation (kappa=0.280). The Logistic regression (LR) performed better with SVMSMOTE rand no imputation (kappa= 0.218). The Random Forest (RF), Decision Tree (DT) and Multilayer Perceptron (MLP) performed better than SGD and LR and handled well class imbalance and missing values without preprocessing. We propose careful selection of the technique to handle class imbalance and missing value prior to subjecting data to ML model is crucial to attain best ML model performance.
Development and Validation of the Elderly Suicide Screening Scale
Authors: Silva Sabrina Piccinelli Zanchettin , Phinney Alison , Rebustini Flávio , Jamas Milena Temer , Bocchi Silvia Cristina Mangini 
Published: June 2024

Background
This study stems from the need to develop and validate a tool for interprofessional teams in Primary health care for screening for suicide among the elderly in the community.

Objective
To evaluate the psychometric properties of the Non-Institutionalized Elderly Suicide Screening Scale (Escala de Rastreamento de Renúncia à Vida no Idoso não institucionalizado - ERRVI).

Methods
This is a psychometric study focused on evaluating evidence of content validity and internal structure. The ERRVI construction process followed the guidelines for scale development based on theoretical models derived from qualitative research, which followed the methodological and theoretical approaches of grounded theory and symbolic interaction. The instrument underwent content validity evidence analysis carried out by a panel of experts, considering the Content Validity Index (CVR). After the pre-test, the internal structure was evaluated using Exploratory Factor Analysis (AFE). Reliability was assessed using three indicators: Cronbach's alpha, Omega, and ORION scores. It involved 300 elderly individuals from two municipalities in the central-western region of Sao Paulo, Brazil, and was conducted from September to November 2020.

Results
The final version comprised 31 items, categorized into four dimensions: autonomy, self-governance, self-care, and life satisfaction. The total explained variance was 50.82%, with factor loadings ranging from 0.31 to 0.86. The reliability indicators revealed a Cronbach’s alpha of 0.88, McDonald's Omega of 0.95, and scores for the dimensions assessed by the Overall Reliability of Fully-Informative Prior Oblique N-EAP (ORION) ranging from 0.78 to 0.84.

Conclusion
The ERRVI showed evidence of content validity and internal structure in accordance with the recommended psychometric parameters. This is an innovative tool with the social value, given the scarcity of tools that screen the risk of suicide among the elderly in the community. It is the first of its kind in Brazil and the third globally.
Anxiety in Women with Endometriosis -A Cross-sectional Study
Authors: Najdi Nazila , Vakilian Katayon , Almasi-Hashiani Amir , Mirzaie Fatemeh , Shokrpoor Maryam , Karimi Hourieh 
Published: June 2024

Aim
The present study aims to assess the anxiety in endometriosis women.

Background
Endometriosis is a disease with chronic pain due to the presence of endometrial-like tissue in other organs of the body. Pain and infertility can reduce the quality of mental health in women’s underlying endometriosis.

Objectives
The present study wants to assess anxiety in endometriosis women and compare it with healthy women in Arak City in 2023.

Methods
The current research was conducted using a cross-sectional method. Eighty-four records of women who were diagnosed and treated by laparoscopy in one of the referral hospitals were included. In the control group, women who were referred to health centers for an annual checkup without any history of endometriosis were recruited for the study. They were entered into the study by convenience sampling. Two groups filled out the demographic and Anxiety Beck Inventory in 15 minutes. Data was analyzed through descriptive and inferential statistics using chi-square and t-tests using STATA software.

Results
The results showed that the mean age of patients in the case and control groups was 31.5 ±5.7 and 31.1 ±6.1, respectively (p=0.57). Findings revealed that there was a statistically significant difference in the mean scores of FSFI between the case and control, respectively (23.08 ±6.1vs 24.47 ±6.6; p=0.031).

Conclusion
The present study showed that women with endometriosis still experience more anxiety after surgery than healthy women. Therefore, the reasons for women's anxiety should be identified during consultations, and drug and non-drug treatment methods should be used to reduce their anxiety.
Approaches to Evaluating Digital Health Technologies: Scoping Review
Authors: Rauwerdink Anneloek , Spinazze Pier , Gijsbers Harm , Molendijk Juul , Zwolsman Sandra , Schijven Marlies P , Chavannes Niels H , Kasteleyn Marise J 
Published: June 2024

Background
Profound scientific evaluation of novel digital health technologies (DHTs) is key to enhance successful development and implementation. As such, we previously developed the eHealth evaluation cycle. The eHealth evaluation cycle contains 5 consecutive study phases: conceptual, development, feasibility, effectiveness, and implementation.

Objective
The aim of this study is to develop a better understanding of the daily practice of the eHealth evaluation cycle. Therefore, the objectives are to conduct a structured analysis of literature data to analyze the practice of the evaluation study phases and to determine which evaluation approaches are used in which study phase of the eHealth evaluation cycle.

Methods
We conducted a systematic literature search in PubMed including the MeSH term “telemedicine” in combination with a wide variety of evaluation approaches. Original peer-reviewed studies published in the year 2019 (pre-COVID-19 cohort) were included. Nonpatient-focused studies were excluded. Data on the following variables were extracted and systematically analyzed: journal, country, publication date, medical specialty, primary user, functionality, evaluation study phases, and evaluation approach. RStudio software was used to summarize the descriptive data and to perform statistical analyses.

Results
We included 824 studies after 1583 titles and abstracts were screened. The majority of the evaluation studies focused on the effectiveness (impact; 304/824, 36.9%) study phase, whereas uptake (implementation; 70/824, 8.5%) received the least focus. Randomized controlled trials (RCTs; 170/899, 18.9%) were the most commonly used DHT evaluation method. Within the effectiveness (impact) study phase, RCTs were used in one-half of the studies. In the conceptual and planning phases, survey research (27/78, 35%) and interview studies (27/78, 35%) were most frequently used. The United States published the largest amount of DHT evaluation studies (304/824, 36.9%). Psychiatry and mental health (89/840, 10.6%) and cardiology (75/840, 8.9%) had the majority of studies published within the field.

Conclusions
We composed the first comprehensive overview of the actual practice of implementing consecutive DHT evaluation study phases. We found that the study phases of the eHealth evaluation cycle are unequally studied and most attention is paid to the effectiveness study phase. In addition, the majority of the studies used an RCT design. However, in order to successfully develop and implement novel DHTs, stimulating equal evaluation of the sequential study phases of DHTs and selecting the right evaluation approach that fits the iterative nature of technology might be of the utmost importance.
The Effect of Beneficial Controller Characteristics on True Surplus Management
Authors: Luo Danni 
Published: June 2024

Surplus management, as a hot issue in economy, accounting, securities and other industries, is not only a simple accounting problem, but also a complex social problem. Surplus management and accounting information exist in a unity of opposites, the study of the impact of surplus management factors, is conducive to controlling and solving the enterprise surplus management problems brought about by the damage to the enterprise value. According to the purpose of surplus management and the theory of generating motives, we can know that surplus management is essentially a kind of specific means of the game of multiple interests. At the present stage, the way of surplus management has shifted, that is, from accrual to real surplus management, and the latter is difficult to be observed, which is more harmful to the enterprise. This paper selects China's A-share listed companies from 2013 to 2019 as a sample to empirically analyze the impact of the characteristics of the actual controller on real surplus management. The actual controller characteristics are categorized into the nature of equity, and the proportion of shareholding. It is found that (1) state-owned enterprises have a positive facilitating effect on the true surplus management of enterprises, while non-state-owned enterprises have a negative inhibiting effect on the true surplus management of enterprises; (2) the proportion of control has a negative effect on the true surplus management of enterprises. For the conclusion (2) also conducted a sample division to further verify the role of the control ratio on the management of corporate real surplus in enterprises with different equity nature, and the conclusion is consistent with the above.
Exploring the impact of cognitive dysfunction, fatigue, and shortness of breath on activities of daily life after COVID-19 infection, until 1-year follow-up
Authors: Björkdahl Ann , Gustafsson Marie , Öhlén Hilda , Jarl Sara , Santos Tavares Silva Iolanda 
Published: June 2024

Objective: Despite expanding knowledge on COVID-19, the long-term effects on daily-life activities remain unclear. The prevalence and changes in fatigue, cognitive dysfunction, and activity limitations in the first year after COVID-19 infection in hospitalized and non-hospitalized patients were explored.
Subjects: A total of 122 patients were recruited from hospital care and 90 from primary care.
Method: Baseline data comprised the Montreal Cognitive Assessment and Trail Making Test. Participants were followed up at 3 and 12 months using these tests and a semi-structured interview to identify symptoms and how they affected participation in daily-life activities. Both within- and between-group analyses were performed to explore changes over time and compare groups.
Result: High levels of fatigue and cognitive dysfunction were found in both groups, which persisted for 12 months. A significant impact on daily-life activities was also observed, with marginal change at the 12-month follow-up. The hospital care group performed worse than the primary care group in the cognitive tests, although the primary care group perceived a higher level of fatigue and cognitive dysfunction. Activity limitations were higher in the primary care group than in the hospital care group.
Conclusion: These findings highlight the need for long-term follow-up and further investigation of the impact of persistent deficits on rehabilitation.
Android-based KKO Dictionary as a Tool in Formulating Indicators and Learning Objectives
Authors: Koro Maxsel , Sampe Markus , Un Lala Sofia G , Ndolu Sumardi W , Bessie Marfelano 
Published: June 2024

Technology, which is developing rapidly at this time is a way out to overcome various problems in all aspects of life, one of which is the world of education. Formulating learning objectives based on basic competencies and indicators, guided by the use of operational verbs (KKO), can improve the quality of learning to the maximum. The main problem faced by teachers in developing indicators and learning objectives is determining KKO that are relevant to the level of each domain, of which the KKO spread across cyberspace are numerous and varied. For this reason, this research focuses on developing an operational verb dictionary (KKO) application which aims to help teachers when designing and developing learning tools, especially in formulating learning objectives. The subjects of this research were 12 teachers at SDI Lasiana, Kupang City. The resulting product will be tested for validity, practicality, and effectiveness when implemented by teachers when designing learning tools. The method used is research and development with a development model ADDIE. Validation results from experts show a feasibility level of 92% from material experts and 91.25% from media experts. If qualified it has a very worthy category. The results of the field trial showed that teachers felt interested and helped by the presence of the KKO dictionary application in preparing learning designs with maximum quality with an assessment score of 86.37% which can be interpreted as meaning that the product is very suitable for teachers to use in developing indicators and learning objectives effectively and efficiently.
PENGARUH MODEL PEMBELAJARAN VISUAL AUDITORI KINESTETIK (VAK) TERHADAP HASIL BELAJAR KOGNITIF PESERTA DIDIK PADA MATERI MITIGASI BENCANA DI KELAS XI IPS SMA NEGERI 1 JAKARTA
Authors: Salsabila Shafa Anis , Mataburu Ilham Badaruddin , Kusumawati Lia 
Published: June 2024

Penelitian ini bertujuan untuk mengetahui pengaruh penerapan model pembelajaran Visual Auditori Kinestetik terhadap hasil belajar kognitif siswa. Model Pembelajaran Visual Auditori Kinestetik adalah model pembelajaran yang mengoptimalkan ketiga gaya belajar (visual, auditori dan kinestetik). Penelitian ini dilaksanakan di kelas XI IPS 1 SMA Negeri 1 Jakarta tahun ajaran 2022/2023 pada materi mitigasi bencana. Metode penelitian yang digunakan adalah quasi experiment dengan penelitian pretest & posttest control group design. Teknik pengambilan sampel menggunakan metode cluster random sampling. Jumlah sampel dalam penelitian ini terdiri dari 33 siswa kelas kontrol dan 35 siswa kelas eksperimen. Instrumen yang digunakan dalam penelitian ini berupa lembar tes pilihan ganda sebanyak 20 soal. Hasil penelitian ini menunjukkan bahwa rata-rata hasil belajar siswa yang diajarkan dengan model pembelajaran visual auditori kinestetik memiliki peningkatan sebesar 18,86 dari 76,14 menjadi 57,29. Sedangkan rata-rata hasil belajar siswa yang diajarkan dengan model pembelajaran kooperatif yang hanya mencakup gaya belajar visual dan auditori memiliki peningkatan sebesar 5,76 dari 58,33 menjadi 64,09. Pada pengujian Independent Sample t Test diperoleh nilai Sig. (2-tailed) bernilai 0,007. Karena nilai Sig. (2-tailed) 0,007 < 0,05 maka ditolak dan diterima sehingga dapat disimpulkan penerapan model pembelajaran Visual Auditori. Kata kunci: Model Pembelajaran, Visual Auditori Kinestetik, Hasil Belajar