bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biomarker combination predicting imminent relapse after discontinuation of biological drugs in patients with rheumatoid arthritis in remission
Authors: Sakashita Eiji , Nagatani Katsuya , Endo Hitoshi , Minota Seiji 
Published: March 2024

Objectives
Compared to conventional disease-modifying antirheumatic drugs (DMARDs), biological DMARDs demonstrate superior efficacy but come with higher costs and increased infection risks. The ability to stop and resume biological DMARD treatment while maintaining remission would significantly alleviate these barriers and anxieties. The objective of this study was to identify biomarkers that can predict an imminent relapse, hopefully enabling the timely resumption of biological DMARDs before relapse occurs.

Methods
Forty patients with rheumatoid arthritis who had been in remission for more than 12 months were included in the study. The patients discontinued their biological DMARD treatment and were monitored monthly for the next 24 months. Out of the 40 patients, 14 (35%) remained in remission at the end of the 24-month period, while 26 (65%) experienced relapses at different time points. Among the relapse cases, 13 patients experienced early relapse within 6 months, and another 13 patients had late relapse between 6 months and 24 months. Seventy-three cytokines in the sera collected longitudinally from the 13 patients with late relapse were measured by multiplex immunoassay. Using cytokines at two time points, immediately after withdrawal and just before relapse, volcano plot and area under the receiver operating characteristic curves (AUC) were drawn to select cytokines that distinguished imminent relapse. Univariate and multivariate logistic regression analyses were used for the imminent relapse prediction model.

Results
IL-6, IL-29, MMP-3, and thymic stromal lymphopoietin (TSLP) were selected as potential biomarkers for imminent relapse prediction. All four cytokines were upregulated at imminent relapse time point. Univariate and multivariate logistic regression showed that a combination model with IL-6, MMP-3, and TSLP yielded an AUC of 0.828 as top predictors of imminent relapse.

Conclusions
This methodology allows for the prediction of imminent relapse while patients are in remission, potentially enabling the implementation of on- and off-treatments while maintaining remission. It also helps alleviate patient anxiety regarding the high cost and infection risks associated with biological DMARDs, which are the main obstacles to benefiting from their superb efficacy.
Contemporary national outcomes of hyperbaric oxygen therapy in necrotizing soft tissue infections
Authors: Toppen William , Cho Nam Yong , Sareh Sohail , Kjellberg Anders , Medak Anthony , Benharash Peyman , Lindholm Peter 
Published: March 2024

Background
The role of hyperbaric oxygen therapy (HBOT) in necrotizing soft tissue infections (NSTI) is mainly based on small retrospective studies. A previous study using the 1998–2009 National Inpatient Sample (NIS) found HBOT to be associated with decreased mortality in NSTI. Given the argument of advancements in critical care, we aimed to investigate the continued role of HBOT in NSTI.

Methods
The 2012–2020 National Inpatient Sample (NIS) was queried for NSTI admissions who received surgery. 60,481 patients between 2012–2020 were included, 600 (<1%) underwent HBOT. Primary outcome was in-hospital mortality. Secondary outcomes included amputation, hospital length of stay, and costs. A multivariate model was constructed to account for baseline differences in groups.

Results
Age, gender, and comorbidities were similar between the two groups. On bivariate comparison, the HBOT group had lower mortality rate (<2% vs 5.9%, p<0.001) and lower amputation rate (11.8% vs 18.3%, p<0.001) however, longer lengths of stay (16.9 days vs 14.6 days, p<0.001) and higher costs ($54,000 vs $46,000, p<0.001). After multivariate analysis, HBOT was associated with decreased mortality (Adjusted Odds Ratio (AOR) 0.22, 95% CI 0.09–0.53, P<0.001) and lower risk of amputation (AOR 0.73, 95% CI 0.55–0.96, P = 0.03). HBO was associated with longer stays by 1.6 days (95% CI 0.4–2.7 days) and increased costs by $7,800 (95% CI $2,200-$13,300), they also had significantly lower risks of non-home discharges (AOR 0.79, 95%CI 0.65–0.96).

Conclusions
After correction for differences, HBOT was associated with decreased mortality, amputations, and non-home discharges in NSTI with the tradeoff of increase to costs and length of stay.
Calculation by UFF method of frequencies and vibrational temperatures of the unit cell of the rhodochrosite crystal
Authors: Gobato Ricardo , Regina Risso Gobato Marcia , Heidari Alireza 
Published: March 2024

The electronic oscillator circuit that uses the mechanical resonance of a vibrating crystal of piezoelectric material to create an electrical signal with a precise frequency is a crystal oscillator. Particularly one using a quartz crystal works by distorting the crystal with an electric field, when voltage is applied to an electrode near or on the crystal. Other crystals such as rhodochrosite also have piezoelectric properties. The rhodochrosite as crystal oscillator for being an alternative to those of quartz. The rhodochrosite (MnC03) shows complete solid solution with siderite (FeC03), and it may contain substantial amounts of Zn, Mg, Co, and Ca. A molecular dynamic via molecular mechanics using the UFF (Universal Forces Field) provided the vibrational frequencies of the fundamental structure of the crystal molecule. The frequencies and vibrational temperatures of the unit cell of rhodochrosite obtained by UFF were calculated in the range from 0.6059 to 1,731.38 cm-1 and 0.87 to 2,491.06 K, respectively.Â Â
Analysis of vibronicâ€“mode coupling structure in vibrational spectra of fuzeon as a 36 amino acid peptide for hiv therapy beyond the multiâ€“dimensional franck condon integrals approximation
Authors: Heidari Alireza , Esposito Jennifer , Caissutti Angela 
Published: March 2024

Parameters such as FTÂ¬â€“IR and Raman vibrational wavelengths and intensities for single crystal Fuzeon are calculated using density functional theory and were compared with empirical results. The investigation about vibrational spectrum of cycle dimers in crystal with carboxyl groups from each molecule of acid was shown that it leads to create Hydrogen bonds for adjacent molecules. The current study aimed to investigate the possibility of simulating the empirical values. Analysis of vibrational spectrum of Fuzeon is performed based on theoretical simulation and FTâ€“IR empirical spectrum and Raman empirical spectrum using density functional theory in levels of HF/6â€“31G*, HF/6â€“31++G**, MP2/6â€“31G, MP2/6â€“31++G**, BLYP/6â€“31G, BLYP/6â€“31++G**, B3LYP/6â€“31G and B3LYP6â€“31â€“HEG**. Vibration modes of methylene, carboxyl acid and phenyl cycle are separately investigated. The obtained values confirm high accuracy and validity of results obtained from calculations.Â Â Molecular Structure of Fuzeon [1â€“42].Â
Apakah Pembelajaran Diferensiasi mengakibatkan Cognitive Load Tinggi?
Authors: Aini Rosita Nurul , Retnowati Endah 
Published: March 2024

Cognitive load theory menjelaskan pentingnya analisis kemampuan awal siswa dalam desain pembelajaran karena perbedaan kemampuan awal mengindikasikan perbedaan tingkat cognitive load yang dialami selama kegiatan pemecahan masalah. Adanya diferensiasi metode pembelajaran diduga lebih efektif sebagai pendekatan pembelajaran berdasarkan divergenitas tingkat kemampuan awal siswa. Penelitian ini bertujuan untuk menguji apakah terdapat perbedaan efektivitas pembelajaran statistika dengan metode diferensiasi dan pembelajaran non-diferensiasi ditinjau dari kemampuan pemecahan masalah dan cognitive load siswa. Metode diferensiasi yang dikembangkan adalah dengan memberikan metode pembelajaran sesuai kategori tingkat kemampuan awal, yaitu jika rendah (metode worked example), sedang (metode faded example), dan tinggi (metode problem solving block). Penelitian quasi experiment dengan desain penelitian posttest only grup design ini melibatkan 60 siswa (novice) kelas VIII SMP dalam pembelajaran statistika berorientasi kemampuan pemecahan masalah. Menggunakan uji ANCOVA dengan nilai pretest sebagai variabel kovariat diperoleh bahwa pembelajaran diferensiasi sama efektifnya dengan pembelajaran non-diferensiasi ditinjau dari pencapaian kemampuan pemecahan masalah. Namun, pembelajaran diferensiasi dapat menurunkan cognitive load siswa selama kegiatan pembelajaran.
Cementitious composites modified by nanocarbon fillers with cooperation effect possessing excellent self-sensing properties
Authors: Wang Yunyang , Zhang Liqing , Sun Shengwei 
Published: March 2024

Abstract
The safety and durability of concrete structures are prone to damage and result in significant harm to human society. Hence, monitoring and estimating the states of concrete structures is of great significance to protecting human safety. Graphene nanoplatelets (GNPs) and carbon nanotubes (CNTs) are promising candidates to endow cementitious composites with piezoresistivity for the health monitoring of concrete structures. Therefore, the aim of this article is to explore the effect of the hybrid GNPs and CNTs on behavior of cementitious composites with cooperation effects. The cementitious composites containing the hybrid GNPs and CNTs with simplified manufacturing methods are developed first. And then, the mechanical behaviors, electrical conductivities, and piezoresistive performances of the composites are investigated systematically. Finally, the modification mechanisms are also discussed. The results proved that the electrical resistivity of the composites with the hybrid GNPs and CNT concentration of 5.0 wt% is reduced by three orders of magnitudes, and the FCR and sensitivities are reached at 36.0% and 1.1% MPa−1/177.9, respectively. Its compressive strength/elastic modulus is achieved at 73.3 MPa/16.9 GPa. Therefore, the hybrid GNPs and CNTs modified cementitious composite present great potential application in monitoring and evaluating service states of civil infrastructures.
Therapeutic resistance training: proposal for an algorithm-based approach
Authors: Weber Frank , Stark Christina , Bloch Wilhelm , Böcker Jonas , Drey Michael , Gehlert Sebastian , Maier Björn , Peters Kirsten , Sachs Ludwig , Schoser Benedikt , Schönau Eckhard , Schröder Rolf , Wackerhage Henning , Young Peter , Rittweger Jörn 
Published: March 2024

Abstract

Background
Ageing, immobilization, sepsis or cachexia reduce muscle mass and function. The age-related loss, i.e. sarcopenia, contributes to frailty and results in a loss of mobility and autonomy in aging and disease. Affected individuals are often socially isolated, have a greater risk of metabolic disorders and psychosomatic problems. As a result, quality of life and life expectancy are affected. Immobilization and lack of adequate stimuli to the skeletal muscle seem to play a central part in these problems. To overcome them, resistance training (i.e., weightlifting) is an effective intervention.

Statement of the problem
Despite the efficacy of resistance training for increasing muscle mass and function, this treatment is underused in clinical practice. We argue that this is due to a lack of a generally applicable methodology.

Methods and framework
To address this and related problems, we have formed the Network of Expertise for Immobilization-induced Muscle Disorders (KNIMS) to develop a potential algorithm for treating sarcopenia and other immobilization-related muscle disorders. An important aspect of the proposed method is that it is defined as a formal algorithm that consists of two stages. Stage A aims to recover bed-ridden patients’ ability to stand by applying vibration-tilt table technology. Stage B aims at rehabilitating compromised gait, using a combination of squats, lunges and single leg raises. It is anticipated that this algorithm-based approach will enhance the ability for standardization and documentation, whilst reducing resource efforts at the same time, which will be equally useful to clinical practice and to clinical research.
Changes in Dynamic Balance Ability Among Firefighter Recruits: A Longitudinal Cohort Study
Authors: Cornell David J. , Gnacinski Stacy L. , Ebersole Kyle T. 
Published: March 2024

Abstract
Cornell, DJ, Gnacinski, SL, and Ebersole, KT. Changes in dynamic balance ability among firefighter recruits: A longitudinal cohort study. J Strength Cond Res 38(4): 734–741, 2024—It has been suggested that enhanced balance ability may mitigate the high musculoskeletal injury (MSKI) rate among firefighters, but the longitudinal changes in dynamic balance ability within this tactical athlete population have yet to be characterized. The purpose of this study was to examine the changes in dynamic balance ability of a cohort population of firefighter recruits completing a training academy and their probationary period as active-duty firefighters. Twenty-seven male firefighter recruits completed the modified Star Excursion Balance Test (mSEBT) at the beginning (W1) and at the end of their training academy (W14) and after completing their probationary period as active-duty firefighters (W38). After controlling for age and changes in body fat (BF) over time, significant changes in mSEBTANT ( p < 0.001), mSEBTPL ( p = 0.015), mSEBTPM ( p < 0.001), and mSEBTCOMP ( p = 0.003) were observed across time. Although mSEBTPL performance significantly increased ( p = 0.033) in from W1 to W14, significant decreases in all mSEBT reach directions were observed from W14 to W38 ( p < 0.05), with mSEBTANT ( p < 0.001) and mSEBTCOMP ( p = 0.002) also significantly decreasing from W1 to W38. However, the frequency of right vs. left asymmetries (>4 cm) did not significantly change over time in any mSEBT reach direction ( p > 0.05). Irrespective of age or changes in BF, minimal changes in the dynamic balance ability of firefighter recruits were observed during their training academy, but significant decreases in balance ability were noted by the end of their probationary period.
Strength and Conditioning (S&C) Practices of Judo Athletes and S&C Coaches: A Survey-Based Investigation
Authors: Weldon Anthony , Cloak Ross , Kirk Christopher , Ruddock Alan , Langan-Evans Carl , Detanico Daniele , Loturco Irineu , Kons Rafael 
Published: March 2024

Abstract
Weldon, A, Cloak, R, Kirk, C, Ruddock, A, Langan-Evans, C, Detanico, D, Loturco, I, and Kons, R. Strength and conditioning (S&C) practices of judo athletes and S&C coaches: A survey-based investigation. J Strength Cond Res 38(4): e160–e173, 2024—The benefits of strength and conditioning (S&C) for improving judo performance and reducing injuries have been widely studied. However, the S&C practices used and perspectives held by those delivering S&C have yet to be elucidated. Therefore, this study investigated the S&C practices and perspectives of judokas and S&C coaches working within judo. Forty-two judokas and 9 S&C coaches completed an online survey comprising 6 sections: (a) written informed consent; (b) background information; (c) education, qualifications, and prescription; (d) views on S&C; (e) exercise selection; and (f) issues and improvements. Frequency analysis was used to report responses to fixed-response questions and thematic analysis for open-ended questions. Results indicated that S&C coaches were primarily responsible for delivering S&C programs (60%), and S&C information was predominantly sourced from S&C coaches (43%). Strength and conditioning was deemed very important for randori (78–88%), overall judo performance (67–79%), and judo fitness (62–78%). Similarly, S&C was considered very important for the development of speed and power (76–89%), strength (71–89%), and injury reduction (69–78%). Novel findings were also observed, such as integrating judo-specific training within S&C practice, which may be partly explained by more S&C coaches holding judo belts (67%) than S&C qualifications (11%). This study supports practitioners delivering S&C in judo by offering a base of information to critique or align with their existing S&C practices and perspectives. Furthermore, our results may help identify potential gaps between methods used, proposed guidelines, and actual practice, facilitating the development of research and education resources tailored to the current climate.
Pengmbangan Soal HOTS (High Order Thinking Skill) Materi Sel Volta Kelas XII SMA/MA
Authors: Ayubi Mizzan , Nawawi Effendi , Sofia Sofia 
Published: March 2024

Penelitian ini bertujuan untuk menghasilkan butir-butir soal berbasis High Order Thinking Skill (HOTS) dalam bentuk uraian dengan materi sel Volta pada kelas XII SMA/MA. Pengembangan butir soal dilakukan untuk menghasilkan butir soal yang valid, reliabel. Pada pengembangan butir soal menggunakan model pengembangan yaitu Mc. Intire. Data pada penelitian pengembangan dapat dilakukan dengan menggunakan validasi para rater serta hasil tes. Hasil yang dilakukan berdasarkan dari rater dapat dinyatakan bahwa butir soal layak uji dengan melihat nilai rata-rata dari validitas yaitu 0,727 sehingga termasuk dalam kategori tinggi dengan melihat aspek-aspek yaitu dari aspek materi, kontruksi serta bahasa. Berdasarkan perhitungan hasil dengan menghasilkan 10 butir soal dengan materi sel Volta kelas XII SMA/MA yang valid dengan nilai rata-rata dari tingkat kesukaran 0,466 termasuk dalam kategori (sedang), rata-rata dari daya pembeda 0,492 termasuk dalam kategori (baik), rata-rata dari validitas 0,559 termasuk dalam kategori (cukup), serta rata-rata reliabilitas 0,720 termasuk dalam kategori (tinggi). Kata Kunci: penelitian dan pengembangan, soal kimia, berpikir tingkat tinggi.
Pengembangan E-Modul Ajar Kimia Hijau Bermuatan Etno-STEM Berbasis Guided Inquiry untuk Membekali Kemampuan Berpikir Kritis Peserta Didik
Authors: Izzania Rahma Annisa , Sumarni Woro , Harjono Harjono 
Published: March 2024

Tujuan dari penelitian ini adalah untuk mengembangkan e-modul ajar berbasis guided inquiry bermuatan etno-STEM, mengetahui tingkat kelayakan, respon siswa, dan kemampuan berpikir kritis siswa. Pengembangan e-modul ajar menggunakan model 4D (define, design, development, disseminate) yang dibatasi sampai tahap ke 3. Penelitian dilaksanakan di MAN 1 KUDUS kelas X tahun ajaran 2023/2024. Sampel penelitian berjumlah 33 siswa pada uji coba skala kecil dan 72 siswa untuk uji coba skala besar. Instrumen pada penelitian ini adalah lembar validasi materi, lembar validasi media, lembar angket respon, dan instrumen tes berpikir kritis. Hasil penelitian ini adalah sebagai berikut (1) tingkat kelayakan e-modul ajar berbasis guided inquiry bermuatan etno-STEM pada materi kimia hijau pada aspek materi 94% dalam kategori “sangat valid” dan pada aspek media 95% dengan kategori “sangat valid”, (2) hasil respon siswa yaitu sebesar 85% yang termasuk dalam kategori “sangat praktis”, (3) e-modul ajar efektif dalam membekali kemampuan berpikir kritis siswa.
Improvement High School Students' Science Literacy through the Implementation of Blended Learning with SETS Vision
Authors: Puspitasari Devi , Indriyanti Dyah Rini , Haryani Sri 
Published: March 2024

Blended learning is a learning model that combines face-to-face and online learning activities, so that in its implementation it can be combined with an appropriate approach, namely SETS as an effort to improve students' science literacy. This study aims to find out the improvement of students' science literacy by applying blended learning with SETS vision on environmental change learning materials. The research was conducted with quasi-experimental method with randomized pretest - posttest control group design. The subject of this research was all students of X MIPA at SMA Negeri 1 Gabus, with cluster random sampling technique, X MIPA 1 was obtained as the control group and X MIPA 3 as the experiment group. The results of the research was proven by statistical test analysis, specifically used the independent sample t-test, it showed a result of 3.10, The analysis figured out that there was a significant difference between the application of blended learning with SETS vision and conventional blended learning on increasing students' science literacy on lesson of environmental change. The results of this research can be conclude that the application of blended learning with SETS vision significantly increased students’ science literacy meanwhile compared to the implementation of the learning model in the control group through conventional blended learning.
Deep learning enables early stage prediction of preterm birth using vaginal microbiota
Authors: Karambelkar Kaushik , Baranwal Mayank 
Published: March 2024

Graphical abstract

Abstract

Objective
Preterm birth (PTB) is one of the leading issues concerning infant health and is a problem that plagues all parts of the world. Vaginal microbial communities have recently garnered attention in the context of PTB; however, the vaginal microbiome varies greatly from individual to individual, and this variation is more pronounced in racially, ethnically, and geographically diverse populations. Additionally, microbial communities have been reported to evolve during the duration of the pregnancy, and capturing such a signature may require higher, more complex modeling paradigms. In this study, we develop a neural controlled differential equation (CDE)-based framework for identifying early PTBs in racially diverse cohorts from irregularly sampled vaginal microbial abundance data.

Methods
We obtained relative abundances of microbial species within vaginal microbiota using 16S rRNA sequences obtained from vaginal swabs at various stages of pregnancy. We employed a recently introduced deep learning paradigm known as ‘neural CDEs’ to predict PTBs. This method, previously unexplored, analyzes irregularly sampled microbial abundance profiles in a time-series format.

Results
Our framework is able to identify signatures in the temporally evolving vaginal microbiome during trimester 2 and can predict incidences of PTB (mean test set ROC–AUC = 0.81, accuracy = 0.75, F1 score = 0.71) significantly better than traditional ML classifiers, thus enabling effective early-stage PTB risk assessment.

Conclusion and significance
Our method is able to differentiate between term and preterm outcomes with a substantial accuracy, despite being trained using irregularly sampled microbial abundance profiles, thus overcoming the limitations of traditional time-series modeling methods.