bluuebunny/crossref_metadata_2025_split huggingface dataset:
Management of Uveitis Patients on Anti-TNF Agents Who Develop Demyelinating Disease – A Case Series
Authors: Hamdan Abel , Sharma Sumit , Baynes Kimberly , Ali Rula A. Hajj , Lowder Careen Y. , Srivas Sunil K. 
Published: January 2024

Abstract

Background / Aims
Anti-tumor necrosis factor (Anti-TNF) agents have proven beneficial for the treatment of chronic non-infectious uveitis, yet rare neurological complications and demyelinating disease can occur with their use. Management of uveitis and neurological disease after developing these rare complications is not well understood. We sought to identify these specific cases and their outcomes through a retrospective observational case series.
Methods
EMR chart review of 394 non-infectious uveitis patients on anti-TNF therapy focused on identifying patients seen by uveitis specialists at a single institution who were on anti-TNF therapy and had developed neurological symptoms. Cases were reviewed for subsequent management and outcomes of both their neurologic and ocular inflammatory disease.
Results
Five (5) patients were included following complaints of neurological symptoms while on anti-TNF therapy. Subsequent demyelinating diagnosis, acute treatment, and long-term course were described. All five patients continue to be inactive at around three years of anti-TNF discontinuation.
Conclusion
Unidentified rare neurological symptoms and demyelinating disease associated with the use of anti-TNF agents can be detrimental to patient treatment outcomes. Emphasis is given on possible avoidance and early identification of exacerbating underlying disease through a detailed neurologic history and use of imaging when suspicion is high. Patients may have no evidence of higher neurological risk prior to starting an anti-TNF treatment. Discontinuation of an anti-TNF agent and subsequent control of disease is possible with alternative immunosuppressive treatments.
Acyl-CoA-Binding Protein (ACBP) genes: Their roles in response to abiotic stress and exogenous hormone application in barley(Hordeum vulgare L.)
Authors: Chang Huayu , Ma Minhu , Gu Mingzhou , Li Shanshan , Li Mengrun , Guo Ganggang , Xing Guofang 
Published: January 2024

Abstract
Background
Acyl-CoA-binding proteins (ACBPs), which are coenzyme A transporters, play important roles in regulating plant growth and development in response to abiotic stress and phytohormones, and in membrane repair. To date, there has not been a comprehensive characterization of the barley (Hordeum vulgare L.) ACBP family.
Results
Eight ACBP genes were identified in the barley genome named HvACBP1–8. These HvACBP genes are specifically expressed in certain tissues and organs, and their expression is induced by abiotic stressors, such as drought, salinity, UV-B exposure, temperature extremes, and exposure to exogenous phytohormones. The HvACBP7 and HvACBP8 amino acid sequences were still conserved during the domestication of Tibetan Qingke barley.
Conclusions
These findings suggest that acyl-CoA-binding proteins could play important in barley growth and environmental adaptation. This study lays the foundation for further analyses of the biological functions of HvACBPs in the barley stress response.
Effects of 4-week high intensity interval training on anaerobic capacity, repeated-sprints performance and neuromuscular function
Authors: Milioni Fabio , Millet Guillaume , de Poli Rodrigo Araújo Bonetti , Brisola Gabriel Motta Pinheiro , Malta Elvis de Souza , Redkva Paulo Eduardo , Barbieri Fabio Augusto , Zagatto Alessandro Moura 
Published: January 2024

Abstract
Purpose: High-intensity long-interval training (long-HIIT; interval≥1 min; intensity 85%-100% of maximal oxygen uptake [V̇O2max]) is often applied for cardiorespiratory adaptations, however long-HIIT can also challenge the anaerobic and neuromuscular systems. Therefore, this study aimed to investigate the effects of 4-week long-HIIT (11 sessions) on anaerobic capacity, repeated sprint ability (RSA), and neuromuscular function.
Methods: Twenty active men (V̇O2max: 44.8±5.3 mL.kg-1.min-1) performed an incremental running test (TINC), a supramaximal test consisting in running until the task failure at 115% of maximum velocity achieved in TINC (VINC) for anaerobic capacity determination, and a RSA test (2×6×35-m all-out sprints) Pre- and Post-HIIT. Before and after RSA, the neuromuscular function was assessed with counter movement jumps (CMJ) and knee extensors maximal isometric voluntary contractions (MVC) with femoral nerve electrical stimulation. Long-HIIT consisted of 10×1-min runs at 90% of VINC with 1-min recovery.
Results: Long-HIIT induced significant increase in V̇O2max (P=0.0001). Although anaerobic capacity did not change significantly, 60% of the participants improved above the smallest worthwhile change (0.2×standard deviation of Pre-HIIT). The changes in sprint performance over RSA was significantly less post-HIIT than pre (P=0.01). RSA induced significant drop of MVC, high frequency doublet, voluntary activation and CMJ performance at Pre- and Post-HIIT (P<0.01), however, the percentage of reduction from rest to fatigued conditions were not significantly altered at Post-HIIT compared to Pre.
Conclusion: 11 sessions of long-HIIT over 4-week improve maximal aerobic power but not anaerobic capacity, and neuromuscular function. Yet, neuromuscular fatigue was similar despite greater speeds reached during RSA.
Enhancer profiling identifies RXRα as a key suppressor of nephrolithiasis-promoting genes in calcium oxalate kidney stone disease
Authors: Zhang Lirong , Yang Yu , Dou Xu , Sun Yongzhan , Wang Jing , Cao Xinyi , Xie Hai , Xie Lin , Tian Wei , Nie Jing , Chen Yupeng , Liu Chun 
Published: January 2024

Abstract

During the formation of kidney stones, the interaction between stone crystals and tubular epithelial cells (TECs) leads to tubular injury and dysfunction, triggering osteogenic transformation and inflammatory responses. However, the molecular mechanisms underlying these changes in TECs remain elusive. Through high-throughput drug screening, we identified JQ1, an enhancer targeting epigenetic drug, effectively inhibiting the adhesion of calcium oxalate (CaOx) crystals to primary TECs. We further confirmed its therapeutic effect in a glyoxylic acid-induced CaOx nephrolithiasis mouse model. Utilizing comprehensive epigenomic and transcriptomic profiling, we charted dynamic enhancer landscape and gene expression program associated with nephrolithiasis. An integrative bioinformatic analysis uncovered a transcription factor (TF) regulatory network within TECs, pinpointing the nuclear receptor RXRα as a central TF modulating enhancer activity. Importantly, our animal studies revealed that tubular-specific RXRα deletion promoted kidney stone formation, while its activation by Bexarotene (Bex), an FDA-approved drug, mitigated this progression. Mechanistically, under normal circumstances, RXRα inhibited nephrolithiasis-promoting genes by recruiting the HDAC3/SMART transcription suppressor complex to repress enhancer activity. Yet, with the progression of nephrolithiasis, RXRα expression decreased, leading to enhancer activation and subsequent upregulation of nephrolithiasis-promoting genes. Activation of RXRα by Bex suppressed these genes by reprogramming their enhancer profiles. In summary, our work illustrates an epigenetic mechanism underlying TECs fate transition during kidney stone formation and highlights the therapeutic potential of JQ1-mediated enhancer inhibition and Bex-induced RXRα activation in nephrolithiasis management.
Assessing the ecological resilience of Ebola virus in Africa and potential influencing factors based on a synthesized model
Authors: Shen Li , Song Jiawei , Zhou Yibo , Yuan Xiaojie , Seery Samuel , Fu Ting , Liu Xihao , Liu Yihong , Shao Zhongjun , Li Rui , Liu Kun 
Published: January 2024

Abstract
Background
The Ebola epidemic has persisted in Africa since it was firstly identified in 1976. However, few studies have focused on spatiotemporally assessing the ecological adaptability of this virus and the influence of multiple factors on outbreaks. This study quantitatively explores the ecological adaptability of Ebola virus and its response to different potential natural and anthropogenic factors from a spatiotemporal perspective.
Methods
Based on historical Ebola cases and relevant environmental factors collected from 2014 to 2022 in Africa, the spatiotemporal distribution of Ebola adaptability is characterized by integrating four distinct ecological models into one synthesized spatiotemporal framework. Maxent and Generalized Additive Models were applied to further reveal the potential responses of the Ebola virus niche to its ever changing environments.
Results
Ebola habitats appear to aggregate across the sub-Saharan region and in north Zambia and Angola, covering approximately 16% of the African continent. Countries presently unaffected by Ebola but at increased risk include Ethiopia, Tanzania, Côte d'Ivoire, Ghana, Cameroon, and Rwanda. In addition, among the thirteen key influencing factors, temperature seasonality and population density were identified as significantly influencing the ecological adaptability of Ebola. Specifically, those regions were prone to minimal temperature variations between seasons. Both the potential anthropogenic influence and vegetation coverage have a rise-to-decline impact on the outbreaks of Ebola virus across Africa.
Conclusions
Our findings suggest new ways to effectively respond to smaller potential Ebola outbreaks in Sub-Saharan Africa. We believe that this integrated modeling approach and response analysis provide a framework that can be extended to predict risk of similar epidemiological studies for other diseases across the world.
The highly differentiated Pachnoda marginata gut hosts sequential microbiomes with biotechnological applications
Authors: Vidal-Verdú Àngela , Torrent Daniel , Iglesias Alba , Latorre-Pérez Adriel , Abendroth Christian , Corbí-Agustín Paola , Peretó Juli , Porcar Manuel 
Published: January 2024

Abstract
Background
Insect gut microbiomes play a crucial role in the insect development by assisting digestion, nutrient acquisition, and detoxification. These microbial communities are shaped, among other factors, by the specialized insect diet habits as well as the morphological structure of the gut. Rose chafers (Pachnoda spp.; Coleoptera: Scarabaeidae), have a highly differentiated gut characterized by a pronounced hindgut dilation which resembles a miniaturized rumen. Specifically, the species Pachnoda marginata shows a very characteristic gut morphology and has not been previously studied in detail in terms of microbial ecology. Here, we describe the complex microbial community along the compartimentalized gut of P. marginata and the potential of its microbiota for biotechnological applications.
Results
Here we show a fine scale study of the highly compartmentalized gut of P. marginata by using amplicon and metagenomic sequencing to shed light on the bacterial, archaeal and fungal communities thriving in each section of the gut. We found a microbial gradient along the gut from aerobic (foregut) to strictly anaerobic (hindgut) communities. In addition, we have characterized interesting biological activities and metabolic pathways of gut microbial communities related to cellulose degradation, methane production and sulfate reduction.
Conclusions
Taken together, our results reveal the highly diverse microbial community and the potential of P. marginata gut as a source of industrially relevant microbial diversity.
Impact of Maternal Thyroid Dysfunction on Fetal and Maternal Outcomes in Pregnancy: A Prospective Cohort Study
Authors: Vamja Roshni , M Yogesh , Patel Monika , Vala Vijay , Ramachandran Arya , Surati Bhumika , Nagda Jay 
Published: January 2024

Abstract
Background
Thyroid dysfunction in pregnancy can adversely impact maternal and fetal outcomes. However, the association between thyroid status and specific adverse outcomes needs clarity, especially in understudied regions.
Objective
This prospective cohort study aimed to illuminate the multifaceted associations between maternal thyroid dysfunction and feto-maternal outcomes in Gujarat, India.
Methods
This hospital-based cohort study recruited and monitored 500 euthyroid, 250 hypothyroid, and 150 hyperthyroid pregnant women until delivery. Maternal thyroid status was determined by serum thyroid stimulating hormone (TSH) and free thyroxine (fT4) levels. Adverse fetal outcomes included preterm birth, neonatal intensive care unit (NICU) admission, respiratory issues, and low APGAR scores. Maternal outcomes included preeclampsia, hemorrhage, hypertension, postpartum thyroiditis, and thromboembolism. Relative risks quantified associations between thyroid dysfunction and outcomes.
Results
Compared to euthyroid women, hypothyroid women had a higher RR for preterm birth (RR 1.8, 95% CI 1.1–3.0), low APGAR score (RR 2.5, 95% CI 1.5–4.1), preeclampsia (RR 3.0, 95% CI 1.9–4.8), postpartum hemorrhage (RR 1.6, 95% CI 1.2–2.1), and venous thromboembolism (RR 3.1, 95% CI 1.7–5.7). Hyperthyroid women had over twice the risk of low APGAR score (RR 1.8, 95% CI 0.9–3.5), neonatal hypoglycemia (RR 1.5, 95% CI 0.5–4.3), respiratory distress (RR 1.4, 95% CI 0.7–2.8), and postpartum thyroiditis (RR 2.3, 95% CI 1.1–4.8).
Conclusion
Maternal thyroid dysfunction escalates risks for adverse fetal and maternal outcomes. Thyroid monitoring and management during pregnancy are critical to mitigate complications.
The Effectiveness of Using Eye Movement Desensitization and Reprocessing Therapy on Reducing the Severity of Symptoms among Individuals Diagnosed with Post-Traumatic Stress Disorder: A Systematic Review
Authors: Haddad Rabia H. , Alhusamiah Bushra Kh. , Haddad Razan H. , Hamdan-Mansour Ayman M. , Abuhashish Younis H. 
Published: January 2024

Abstract
Background: Post Traumatic Stress Disorder (PTSD) is a global-concern mental illness that occurs due to exposure to a traumatic life experience such as a natural disaster, a severe accident, or a physical or sexual assault in adulthood or childhood. The consequence of PTSD warrants mental health professionals to find effective interventions to maintain and restore mental-well-being. Therefore, selection of intervention is a cornerstone element in deciding successful interventions.
Objectives: The aim of this systematic review was to evaluate and summarize the effectiveness of using eye movement desensitization and reprocessing (EMDR) intervention among individuals diagnosed with PTSD. As well as to highlight the standardized EMDR-based-interventional protocol.
Data source: The relevant literature was extracted and conducted using the following online bibliographic databases: Cumulative Index to Nursing and Allied Health Literature (CINAHL), ProQuest, MEDLINE, Google Scholar, SAGE Journals, and Science Direct and by hand checking reference lists of past similar reviews.
Methods: This Systematic review is guided according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards. Several online databases were used in searching for eligible studies in peer-reviewed journals relevant to the study keywords. The included studies were Systematic reviews and clinical trials which used EMDR intervention among patients experiencing PTSD symptoms, older than 18 years and were published in the English language from 2017 to 2022. Three researchers independently contributed to study selections, data extraction and study evaluations from different aspects: including quality assessment, risk of bias, and study synthesis.
Results: A total of eight published studies met the inclusion criteria and were included in this systematic review; four articles were randomized controlled trials and four were systematic review and meta-analysis studies. In all included studies, the EMDR was utilized as a primary psychotherapy intervention for PTSD symptoms. The results of this extensive and comprehensive review showed that EMDR is an effective psychotherapeutic intervention to reduce and control the severity of symptoms among individuals with PTSD.
Conclusions: This Systematic review gives an overview and explains strong supportive evidence for effectiveness of the EMDR interventions among individuals with PTSD. Therefore, EMDR therapy could be assumed as one standard treatment option for PTSD aiming at reducing treatment duration, and cost of treatment, and restoring the mental well-being and functionality of those suffering from PTSD.
Poly(lactic acid)/ poly(ε-caprolactone) blends: the effect of nanocalcium carbonate and glycidyl methacrylate on miscibility
Authors: Negaresh Mohammadmahdi , Javadi Azizeh , Garmabi Hamid 
Published: January 2024

Abstract
To expand the potential applications of polylactic acid (PLA), it is essential to incorporate a highly flexible polymer into the blend. Polycaprolactone (PCL) is an ideal choice due to its ductility and biodegradability. However, blending PLA with PCL results in weak mechanical properties. To address this issue, glycidyl methacrylate (GMA) and nano calcium carbonate (NCC) were introduced to enhance the adhesion at the interface between PLA and PCL. SEM images provided clear visual evidence of the impact of GMA and NCC on the morphology of the blend. Both components were effective in reducing the size of the dispersed PCL phase, shrinking it to approximately half the size of the original blend. Spectroscopic analysis revealed that GMA caused a reaction between its epoxy group and the hydroxyl and carboxyl groups of PLA and PCL. This reaction led to the formation of strong peaks in the 6.5 to 7.5 range in 1H NMR, as well as peaks at 76 and 139 ppm in 13C NMR. These findings were further corroborated by FT-IR, which demonstrated that NCC, despite its surface coating, did not create any new bonds. Rheological studies further demonstrated the positive effects of GMA and NCC. Both the storage modulus (G') and complex viscosity (η*) of the blends increased, showing improved post-processing performance. Investigation into the shear-thinning behavior of the uncompatibilized blends revealed that NCC caused a significant decrease in complex viscosity at higher frequencies, indicating the disruption of the nanoparticle network. The power-law slope was measured to be 0.62. In contrast, the blend containing the compatibilizer demonstrated a moderate decrease in viscosity, with a power-law slope of 0.36. To analyze the behavior of the PLA/PCL blends in the presence of compatibilizers and nanoparticles at intermediate frequencies, the Palirene model was utilized. The superior integrity of the compatibilized blend was effectively demonstrated by the model, which showed enhanced stress transfer and phase relaxation.
High-performance visible-light responsive BiPO4@ZnWO4 photocatalyst for enhancing photodegradation characteristics
Authors: Wang Jingru , Wang Haiyan , Liu Chenglun , Jiang Zao , Liu Xueyan , Kang Ziyi , Hao Ziman , Feng Qi , Xu Longjun 
Published: January 2024

Abstract

The rational construction of heterostructures plays a pivotal role in enhancing both the separation of photogenerated carriers in semiconductors and the photocatalytic activity. This paper successfully constructs a novel BiPO4@ZnWO4 p-n type heterojunction photocatalyst by hydrothermal and ultrasonic stirring methods. The BiPO4@ZnWO4 heterojunction exhibits outstanding photocatalytic performance, achieving a degradation efficiency of 99% for rhodamine B (RhB) under visible light illumination in just 40 min. Furthermore, its photocatalytic reaction rate constant is 3.9 and 96.51 times higher than that of pure ZnWO4 and BiPO4, respectively. Electrochemical characterization demonstrates a more robust photocurrent response and lower resistance in the composite sample, facilitating efficient transport of photogenerated carriers. In addition, the 20% BiPO4@ZnWO4 heterojunction also exhibits desirable photodegradation stability, maintaining a RhB removal rate above 80% even after 5 cycles. Within the context of the photocatalytic reaction system, the superoxide radical (·O2-) plays a key role, succeeded by the hydroxyl radical (·OH) and the photoinduced hole (h+). This paper provides a feasible p-n type heterojunction photocatalyst for the treatment of dyeing wastewater.
Sensitivity Analysis and Optimization of Operating Conditions of Proton Exchange Membrane Fuel Cell
Authors: Xiangrong Liao , Photong Chonlatee , Su Jianbin 
Published: January 2024

Abstract
Power characteristics are important indicators of fuel cell performance. In the actual operation of fuel cells, changes in operating conditions lead to variations in their power characteristics. Therefore, it is imperative to explore the impact of operating conditions on power characteristics. This paper analyzes the factors influencing fuel cell power and uses sensitivity analysis to investigate how different factors affect fuel cell performance. The operating parameters are optimized using a Bayesian-optimized Gaussian process regression model. The research results indicate that temperature has the greatest impact on fuel cell power, followed by stoichiometry and backpressure. The Bayesian-optimized Gaussian process regression model performs the best, reducing its RSME from 0.1 to 0.0556. Residual analysis and regression characteristic analysis verify the optimized model's improved fitting and regression characteristics. Based on the Bayesian-Gaussian process regression model, the optimized operating parameters are obtained for maximum power: a temperature of 80°C, stoichiometry of 4, and backpressure of 1.7 bar. This paper provides theoretical support for improving fuel cell performance.。
Nowcasting GDP with Machine Learning: The Case of Indonesia
Authors: Utama Ginanjar , Firinda Nadira 
Published: January 2024

Abstract
This paper develops robust economic models for nowcasting Indonesia's GDP growth. Utilizing a comprehensive dataset comprising monthly economic and finance indicators from 2013 to 2023, we explore their association with GDP growth. The study period spans from January 2013 to December 2022 for in-sample data, with an extension to September 2023 for out-sample analysis. We employ a suite of machine learning models - Elastic Net, Random Forest, XGBoost, and SVM - selected for their complementary strengths. The models are trained and tested, yielding an RMSE range of 0.01 to 0.41 for the training period and a narrower range of 0.11 to 0.17 for the testing period, indicating robust performance across different economic conditions, including normal and pandemic periods. A key aspect of our study is the model interpretation, which includes decomposition and Shapley value analysis, providing insights into the driving factors behind GDP fluctuations. Our findings highlight the significant impact of several indicators on Indonesia's GDP. Additionally, our nowcasting exercise for Q4 2023 projects an average GDP growth of 5.13%, ranging from 5.01–5.26%.
JEL classification: C53, C63, E37, E58, O40