bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of disease-modifying anti-rheumatic drugs on skeletal muscle mass in rheumatoid arthritis patients: a systematic review with meta-analysis
Authors: Hein Thales R. , Peterson Leonardo , Bartikoski Barbara J. , Portes Juliana , Espírito Santo Rafaela C. , Xavier Ricardo M. 
Published: July 2022

Abstract
Introduction
Rheumatoid arthritis (RA) is an autoimmune disease, characterized by chronic and systemic inflammation. Besides, it is known that RA patients may present several comorbidities, such as sarcopenia, a condition where patients present both muscle mass and muscle quality impairment. RA treatment is mostly pharmacological and consists in controlling systemic inflammation and disease activity. Despite that, the effect of pharmacological treatment on sarcopenia is not well characterized.

Objective
To summarize the effects of disease-modifying anti-rheumatic drugs (DMARDs) on skeletal muscle tissue in rheumatoid arthritis (RA) patients.

Methods
A systematic review of randomized clinical trials and observational studies was conducted using MEDLINE, Embase, Cochrane Library, and Web of Science. We selected studies with rheumatoid arthritis patients treated with disease-modifying anti-rheumatic drugs (DMARDs) that analyzed muscle mass parameters such as lean mass and appendicular lean mass. Methodological quality was assessed using the Newcastle-Ottawa Quality Assessment Scale. Standardized mean difference (SMD) and 95% confidence intervals (CI) were set. A meta-analysis of observational studies was performed using the R software, and we considered significant statistics when p < 0.05.

Results
Nine studies were included in this systematic review. In the meta-analysis, DMARD treatment had no positive difference (p = 0.60) in lean mass. In the same way, in the appendicular lean mass parameter, our results showed that DMARDs did not have changes between baseline and post-treatment analysis (p = 0.93).

Conclusion
There is no evidence of a significant effect of DMARD therapy, either synthetic or biological, on muscle mass. However, this association should be investigated with more studies.
The Association between Aerobic Fitness and Academic Achievement among Elementary School Youth
Authors: Fair Melissa L. , Reed Julian A. , Hughey S. Morgan , Powers Alicia R. , King Sarah 
Published: July 2022

ABSTRACT
Physical activity (PA) and fitness are important for both healthy physical and mental development in youth, including positive effects for academic achievement. Several studies have shown positive associations between PA and academic achievement or cognitive function. However, fewer studies have examined these associations with large representative samples of youth with objective measurement of aerobic fitness and body composition. Therefore, the present study examined the association between aerobic fitness and academic achievement in a large sample of fourth and fifth grade youth from a large southeastern school district. In 2013, objectively measured aerobic capacity via FitnessGram® Progressive Aerobic Cardiovascular Endurance Run was collected for all fourth and fifth grade youth (n = 8641) in a southeastern US county, along with several demographic characteristics. Students also completed the Palmetto Assessment of State Standards test for the following subjects: writing, English/language arts, math, science, and social studies. Multilevel linear regression models were used to examine associations between aerobic fitness and all subject test scores while controlling for demographic characteristics. Results from multilevel linear regression indicate that even after controlling for important covariates, including sex, race/ethnicity, school lunch status, grade level, and youth body mass index, there was a significant positive association between aerobic fitness and academic achievement in writing, English/language arts, math, science, and social studies. Further analysis indicated that the association between increased aerobic fitness and subject test scores was not modified by sex. In conclusion, these findings are supported by previous research highlighting the important role that aerobic fitness for elementary school youth plays in healthy brain development during this rapid period of growth and acquisition of cognitive skills, thus impacting lifelong academic achievement and educational attainment.
Pelvic Congestion syndrome - common, but underdiagnosed disease of women
Authors: Żyga Justyna 
Published: July 2022

Introduction: Pelvic congestion syndrome is defined as the presence of varicose changes in the ovarian veins and venous plexuses associated with chronic pelvic pain syndrome. The main problem with pelvic congestion syndrome is the low awareness of medical staff about this syndrome and the resulting very low recognition.
State of knowledge: Pelvic congestion syndrome is an important cause of chronic pelvic pain. The diagnosis is based on imaging examination with ultrasound as a first-line choice and correlation with clinical presentation. The aetiology is multifactorial and may result from a combination of genetic predisposition, anatomical abnormalities, hormonal, mechanical factors with venous wall weakness, reverse blood flow and hypertension. The incidence is strongly related to the number of pregnancies.
Conclusions: Pelvic congestion syndrome is one of the possible causes of chronic pelvic pain, thus differential diagnosis should necessarily include venous insufficiency during interviewing, clinical and ultrasound examination of patients. Among several treatment methods, intravascular embolization is a minimally invasive, effective and safe, currently recognised as a method of choice in treatment.
Misja dyplomatyczna Thomasa Bodleya do krajów niemieckich i Danii w 1585 r. na tle poselstw Daniela Rogersa (1585 i 1588) oraz Johna Skeena i Wilhelma Stewarta (1590)
Authors: Franczak Paweł 
Published: July 2022

LATE-ELIZABETHAN DIPLOMATIC MISSIONS: A STUDY COMPARING THE LEGACIES OF THOMAS BODLEY, DANIEL ROGERS, JOHN SKEEN, AND WILLIAM STEWART TO THE COURTS OF THE HOLY ROMAN EMPIRE AND THE KING OF DENMARK
Sir Thomas Bodley is not known well in and outside England, unless one studies the history of libraries and correctly ties him with the eponymous Oxford library, the Bodleian. Nevertheless at the end of 17th century he experienced a brief moment of prominence as an English diplomat heading an embassy to the Holy Roman Empire and the Kingdom of Denmark. No less important were three other diplomats, sent by Queen Elisabeth I soon after him: Daniel Rogers, William Stewart and John Skeen. This article is examines those four diplomatic missions, with stress put on the legacy of Thomas Bodley’s endeavours, which marked a new era in Anglo-German diplomatic relations. The author analyses the differences in the dispatches and reports written by these Elizabethan diplomats.
The Exponomial Choice Model for Assortment Optimization: An Alternative to the MNL Model?
Authors: Aouad Ali , Feldman Jacob , Segev Danny 
Published: July 2022

In this paper, we consider the yet-uncharted assortment optimization problem under the exponomial choice model, in which the objective is to determine the revenue-maximizing set of products that should be offered to customers. Our main algorithmic contribution comes in the form of a fully polynomial-time approximation scheme, showing that the optimal expected revenue can be efficiently approached within any degree of accuracy. We synthesize several ideas related to approximate dynamic programming, intended to construct a compact discretization of the continuous state space by keeping track of “key statistics” in rounded form and by operating with a suitable bit precision complexity. We complement this result by a number of NP-hardness reductions to natural extensions of this problem. Moreover, we conduct empirical and computational evaluations of the exponomial choice model and our solution method. Focusing on choice models with a simple parametric structure, we provide new empirical evidence that the exponomial choice model can achieve higher predictive accuracy than the multinomial logit (MNL) choice model on several real-world data sets. We uncover that this predictive performance correlates with certain characteristics of the choice instance—namely, the entropy and magnitude of choice probabilities. Finally, we leverage fully ranked preference data to simulate the expected revenue of optimal assortments prescribed using the fitted exponomial and MNL models. On semisynthetic data, the exponomial-based approach can lift revenues by 3%–4% on average against the corresponding MNL benchmark. This paper was accepted by Chung Piaw Teo, optimization. Funding: The research of Danny Segev on this project was supported by the Israel Science Foundation [Grants 148/10 and 1407/20]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2022.4492 .
Investigación-Acción Participativa sobre percepciones, preocupaciones y necesidades de los profesionales de salud en una central de emergencias de Argentina
Authors: Grande-Ratti Maria Florencia , Perez-Manelli Romina Yasmin , Herrera Ana Gabriela , Pedretti Ana Soledad , Aliperti Valeria , Martinez Bernardo , Dawidowski Adriana Ruth 
Published: July 2022

Objetivo: Explorar las percepciones, preocupaciones y necesidades del personal de salud en una Central de Emergencias de Adultos (CEA) de Argentina.
Métodos: Investigación o acción participativa, coordinada y ejecutada por el propio personal de la CEA, que incluyó médicos/as, personal de enfermería y administrativo/as para participar activamente en la recolección de información y en el análisis. Se utilizaron metodologías mixtas: análisis documental de quejas y reclamaciones escritas por parte de los pacientes, 10 entrevistas individuales y 2 grupos focales reflexivos con 10 integrantes del personal de salud (de diferente cargo y antigüedad, y residentes en formación).
Resultados: Los tópicos emergentes fueron factores laborales que inducen al error y atentan contra el encuentro clínico centrado en la persona: la sobrecarga y la falta de tiempo, la sobreutilización de recursos por medicina defensiva y la tecnología que reemplaza el contacto físico. El personal de salud manifestó episodios de agresiones de pacientes o sus familiares, cuando las largas esperas y las insuficiencias estructurales (como falta de camas, saturación de sala de espera, incomodidad) atentan contra la paciencia y la tolerancia. A partir de esta reflexión se generaron mejoras en diversas áreas de la CEA.
Conclusiones: La identificación de las problemáticas realizadas por los propios actores de la CEA resultó un método pertinente para generar un proceso de cambio de gestión colectiva, promover la reflexión y concientizar, permitir identificar áreas de mejora, diseñar estrategias y propuestas concretas.
Linear and Machine Learning modelling for spatiotemporal disease predictions: Force-of-Infection of Chagas disease
Authors: Ledien Julia , Cucunubá Zulma M. , Parra-Henao Gabriel , Rodríguez-Monguí Eliana , Dobson Andrew P. , Adamo Susana B. , Basáñez María-Gloria , Nouvellet Pierre 
Published: July 2022

Background
Chagas disease is a long-lasting disease with a prolonged asymptomatic period. Cumulative indices of infection such as prevalence do not shed light on the current epidemiological situation, as they integrate infection over long periods. Instead, metrics such as the Force-of-Infection (FoI) provide information about the rate at which susceptible people become infected and permit sharper inference about temporal changes in infection rates. FoI is estimated by fitting (catalytic) models to available age-stratified serological (ground-truth) data. Predictive FoI modelling frameworks are then used to understand spatial and temporal trends indicative of heterogeneity in transmission and changes effected by control interventions. Ideally, these frameworks should be able to propagate uncertainty and handle spatiotemporal issues.

Methodology/principal findings
We compare three methods in their ability to propagate uncertainty and provide reliable estimates of FoI for Chagas disease in Colombia as a case study: two Machine Learning (ML) methods (Boosted Regression Trees (BRT) and Random Forest (RF)), and a Linear Model (LM) framework that we had developed previously. Our analyses show consistent results between the three modelling methods under scrutiny. The predictors (explanatory variables) selected, as well as the location of the most uncertain FoI values, were coherent across frameworks. RF was faster than BRT and LM, and provided estimates with fewer extreme values when extrapolating to areas where no ground-truth data were available. However, BRT and RF were less efficient at propagating uncertainty.

Conclusions/significance
The choice of FoI predictive models will depend on the objectives of the analysis. ML methods will help characterise the mean behaviour of the estimates, while LM will provide insight into the uncertainty surrounding such estimates. Our approach can be extended to the modelling of FoI patterns in other Chagas disease-endemic countries and to other infectious diseases for which serosurveys are regularly conducted for surveillance.
Changes in cesarean section rates after introduction of a punitive financial policy in Georgia: A population-based registry study 2017–2019
Authors: Nedberg Ingvild Hersoug , Manjavidze Tinatin , Rylander Charlotta , Blix Ellen , Skjeldestad Finn Egil , Anda Erik Eik 
Published: July 2022

Background
There is little research on how financial incentives and penalties impact national cesarean section rates. In January 2018, Georgia introduced a national cesarean section reduction policy, which imposes a financial penalty on hospitals that do not meet their reduction targets. The aim of this study was to assess the impact of this policy on cesarean section rates, subgroups of women, and selected perinatal outcomes.

Methods
We included women who gave birth from 2017 to 2019 registered in the Georgian Birth Registry (n = 150 534, nearly 100% of all births in the country during this time). We then divided the time period into pre-policy (January 1, 2017, to December 31, 2017) and post-policy (January 1, 2018, to December 31, 2019). An interrupted time series analysis was used to compare the cesarean section rates (both overall and stratified by parity), neonatal intensive care unit transfer rates, and perinatal mortality rates in the two time periods. Descriptive statistics were used to assess differences in maternal socio-demographic characteristics.

Results
The mean cesarean section rate in Georgia decreased from 44.7% in the pre-policy period to 40.8% in the post-policy period, mainly among primiparous women. The largest decrease in cesarean section births was found among women <25 years of age and those with higher education. There were no significant differences in the neonatal intensive care unit transfer rate or the perinatal mortality rate between vaginal and cesarean section births in the post-policy period.

Conclusion
The cesarean section rate in Georgia decreased during the 2-year post-policy period. The reduction mainly took place among primiparous women. The policy had no impact on the neonatal intensive care unit transfer rate or the perinatal mortality rate. The impact of the national cesarean section reduction policy on other outcomes is not known.
RINGKASAN HASIL PENELITIAN PENGUATAN PERAN DIASPORA INDONESIA DALAM PENINGKATAN DAYA SAING BANGSA STUDI KASUS: DIASPORA AKADEMISI DAN PROFESIONAL INDONESIA DI MALAYSIA
Authors: Sari Betti Rosita 
Published: July 2022

Pemerintah Indonesia dalam beberapa tahun terakhir ini semakin menyadari bahwa Indonesia memiliki potensi yang besar melalui diaspora Indonesia di luar negeri. Peran diaspora dalam pembangunan Indonesia tentu sangat diharapkan terlebih dengan adanya realitas bahwa Indonesia masih mengalami kesenjangan potensi sumber daya manusia, padahal tidak sedikit profesional dan akademisi Indonesia yang mumpuni dan berkiprah di luar negeri, terutama Malaysia. Jarak yang tidak terlalu jauh, kesamaan budaya dan agama, serta fasilitas yang ditawarkan oleh pemerintah Malaysia mengakibatkan banyak akademisi dan pekerja profesional yang bekerja di Malaysia. Perkembangan diaspora Indonesia perlu diteliti secara holistik dalam rangka meningkatkan nilai tambah ekonomi nasional agar dapat menunjang produktivitas bangsa. Tulisan ini berupaya untuk melihat potensi diaspora akademisi dan profesional Indonesia di Malaysia yang bisa dimanfaatkan untuk peningkatan daya saing dan diplomasi ekonomi Indonesia di masa datang. Keywords: diaspora, skilled diaspora, jaringan intelektual, transfer pengetahuan, Malaysia
Performance of HDL-C measurements assessed by a 4-year trueness-based EQA/PT program in China
Authors: Zhou Weiyan , Luo Wenbo , Yu Songlin , Li Hongxia , Wang Donghuan , Zhang Jiangtao , Wang Siming , Zeng Jie , Zhang Chao , Zhao Haijian , Zheng Hao , Dong Jun , Chen Wenxiang , Zhang Chuanbao 
Published: July 2022

Abstract

Objectives
A trueness-based EQA/PT program for high density lipoprotein cholesterol (HDL-C) was initiated. We analyzed the 4 year EQA/PT program to overview the measurement standardization for HDL-C in China.

Methods
Two levels of freshly frozen, commutable serum external quality assessment/proficiency testing (EQA/PT) materials were prepared and determined by reference measurement procedure each year. The samples were delivered to clinical laboratories and measured 15 times in 3 days. The precision [coefficient of variation (CV)], trueness (bias), and accuracy [total error (TE)] were calculated and used to evaluate measurement performance. The pass rates of individual laboratories and peer groups were analyzed using the acceptable performance from the National Cholesterol Education Program (NCEP) and biological variation as the evaluation criteria.

Results
More than 60% of laboratories use heterogeneous systems, and there was a decrease in the percentage from 2016 to 2019. About 95, 78, and 33% of laboratories met the minimum, desirable and optimum TE criteria derived from biological variation. The pass rates were 87.0% (84.7–88.8%), 58.7% (55.3–62.4%), and 97.3% (95.6–98.3%) that met the acceptable performance of TE, bias, and CV of NCEP. The homogeneous systems had higher pass rates of TE, bias, and CV than the heterogeneous groups in 2016, but they did not show apparent advantages in 2017–2019.

Conclusions
The trueness-based EQA/PT program can be used to evaluate the accuracy, reproducibility, and trueness of results. For some IVD manufacturers and individual laboratories, accuracy, especially trueness, are still problems. Efforts should be made to improve the situation and achieve better HDL-C measurement standardization.
Prediction of oxygen-blowing volume in BOF steelmaking process based on BP neural network and incremental learning
Authors: Fei He , Xianyi Chai , Zhenghai Zhu 
Published: July 2022

Abstract
In view of the characteristics of dynamic basic oxygen furnace (BOF) steelmaking process, prediction models based on backpropagation neural network and incremental learning (BPNN-IL) are proposed for total blow oxygen volume and second blow oxygen volume. The incremental learning is to adjust weights and thresholds of the BPNN according to the difference between the predicted value and actual value of each heat and to adapt to the change in furnace conditions. The combined BPNN-IL models are trained and tested by actual production data, and are further compared with multiple linear regression models and BPNN models. The results show that whether it is total blow oxygen volume or second blow oxygen volume, the BPNN-IL models could provide the most accurate prediction and the introduction of an incremental learning method could further improve the predictive accuracy. So the BPNN-IL method is effective in predicting the oxygen-blowing volume in the BOF steelmaking process.
Commodification of English and English-like structures in shop names in Lombok Island, Indonesia
Authors: Yusra Kamaludin , Lestari Yuni Budi , Juwaeriah Yulia 
Published: July 2022

Abstract
English has been for centuries seen as the native language of speakers in the English-speaking inner circle countries, as the second language of speakers in the former British-colony outer circle countries and as an international business lingua franca among speakers in the techno-economically powerful extended circle countries. Little is known how speakers in the Expanding Circle countries where English is learned as an additional foreign language make use of the language in everyday life, for communication, and for business purposes. This article fills the gap by examining how and why English and English structures have been used in shop naming in the Expanding Circle. Surveying and observing shop names, products on sale, and neighborhood’s socio-economic conditions, the study identifies possible connection between the nature of the language used, the types of products being sold and the socioeconomic nature of the neighborhood. Distributing questionnaires and interviewing shop owners, staff and buyers in the central business districts on Lombok Island, Indonesia, the study establishes linguistic ideology and socio-economic and cultural expectation behind the name selection. Three clusters of CBDs were observed: urban, suburban and tourism areas. With Chi-square analyses, the study establishes a strong relationship between the choice of language for shop names and the types of products on sale irrespective of the socio-economic conditions of the shop neighborhood. With linguistic analyses, the study shows that the choice of names in English or in English-like structures is affected by the ideology of English as the language of science, technology and modern lifestyle. English is strongly associated with modern lifestyle and the majority of lifestyle, entertainment and fashion shops are named in the English language. English-like structures are connected to English as the language of technology and shops dealing with electricity and machinery technologies are named in English-like structures. The use of these linguistic ideologies is expected to boost the image of the shops and the sale of the products and this expectation was statistically verified.
Dynamic characteristic analysis of acoustic black hole in typical raft structure
Authors: Tang Yang , Liu Jiangtao , Liu Ning , Pang Fuzhen , Wang Yu 
Published: July 2022

Abstract
As a hot content of research in recent years, acoustic black holes have bright application prospects in the field of vibration and noise reduction. In this article, based on the acoustic black hole theory, we carry out a study on the dynamic characteristics of a typical raft structure. The manuscript gives the simplified method of the acoustic black hole model, verifies the validity of the method by the structure natural frequency and vibration response, and discusses the influence of the main parameters such as acoustic black hole tip cutoff ratio and damping thickness ratio on the vibration characteristics of the raft frame structure. The better values of the parameters were applied to the raft structure on this basis, and the results showed that the peak value of some frequency points decreased by about 10 dB after the acoustic black hole was laid in the raft structure, which improved the vibration isolation performance of the raft.