bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical evaluation and outcome in heart failure patients receiving chemotherapy with different anti‐cancer agents
Authors: Sunaga Tomiko , Okada Takahiro , Iso Yoshitaka , Ebato Mio , Toshida Tsutomu , Nawata Shuichi , Suzuki Hiroshi , Kogo Mari 
Published: January 2025

AbstractBackgroundThe optimal strategy for modern chemotherapy should be based on a comprehensive approach for cancer patients with cardiovascular diseases. Therefore, cardio‐oncology has received increasing attention owing to the cardiotoxic effects of anti‐cancer therapies.ObjectivesWe aimed to evaluate the clinical characteristics and outcomes of patients with heart failure (HF) who received chemotherapy compared with those of a matched cohort with HF who did not receive chemotherapy, using real‐world HF data.MethodsThis study was based on the Diagnosis Procedure Combination (DPC) database of the Japanese Registry of All Cardiac and Vascular Diseases (JROAD). We identified 1 328 113 patients who were hospitalized for HF between April 2012 and March 2021. The propensity score (PS) was estimated using a logistic regression model, with chemotherapy as the dependent variable, and a clinically score‐matched analysis of 11 532 patients with HF with or without chemotherapy. The primary endpoint was readmission.ResultsColon, lung, breast and prostate cancers accounted for >60% of all cancer types. After PS matching, readmission was significantly more frequently observed in patients with chemotherapy than those without [odds ratio (OR), 1.26; 95% confidence interval (CI) 1.17–1.36, P < 0.01]. In particular, treatment with epidermal growth factor receptor tyrosine kinase inhibitors (EGFR‐TKIs) (OR, 1.69; 95% CI 1.39–2.07), taxane (OR, 2.95; 95% CI 2.11–4.12), anthracyclines (OR, 1.86; 95% CI 1.19–2.90) and fluorouracil agents (OR, 1.65; 95% CI 1.18–2.30) caused a higher risk of readmission.ConclusionsMedical providers need to monitor and follow‐up patients with HF, depending on the characteristics of the anti‐cancer agents and types of cancer.
NORSE secondary to anti‐GAD65 antibody‐positive encephalitis treated with novel adjunctive rapid titration VNS protocol
Authors: Li Mingyu , Yalcin Nilufer , Weiss Danielle L. , Hill Leila A. T. , Shah Manan , Garcia Klepper Alfredo , Vale Diaz Fernando L. , Rueda Carrillo Luis G. , Smith Hunter , Moore‐Hill Debra T. 
Published: January 2025

AbstractNew Onset Refractory Status Epilepticus (NORSE) is a rare and severe condition characterized by refractory seizures in individuals without a prior history of epilepsy. This case report describes a 37‐year‐old woman diagnosed with anti‐glutamic acid decarboxylase 65 (anti‐GAD65) antibody‐positive encephalitis‐related NORSE. Her seizures were refractory to multiple interventions, including anti‐seizure medications, anesthetics, immunotherapies, a ketogenic diet, and electroconvulsive therapy. Seizures recurred twice during the tapering of anesthetic medications. However, after 32 days of treatment, the seizures were successfully controlled. To maintain seizure control and facilitate the weaning of anesthetics, a Vagus Nerve Stimulator (VNS) was implanted using a novel rapid titration protocol. This allowed for the successful tapering of anesthetics by day 50, with no recurrence of seizures. At her 9‐month follow‐up, the patient remained seizure‐free and had an improved quality of life. This case highlights that early initiation of immunosuppressive treatment may lead to a favorable prognosis. The novel application of VNS therapy assisted seizure control in NORSE, thus encouraging further research investigating the potential role of VNS in this condition.Plain Language SummaryNew Onset Refractory Status Epilepticus (NORSE) is a rare and severe condition characterized by relentless seizures in individuals without a prior epilepsy history. This report shares the case of a 37‐year‐old woman with NORSE, associated with a high anti‐glutamic acid decarboxylase 65 antibody titer. Her seizures were super‐refractory, requiring multiple anti‐seizure medications, anesthetics, immunotherapies, a ketogenic diet, and electroconvulsive therapy. Seizures recurred twice during the tapering of anesthetic medications. However, by hospital day 32, the seizures were successfully controlled with these interventions. To further stabilize seizure control and enable the successful discontinuation of anesthetics, a Vagus Nerve Stimulator (VNS) was implanted. The patient had no further seizures and gradually recovered back to her pre‐disease baseline. This case suggests that a novel rapid VNS titration protocol could be a promising treatment option for NORSE, warranting further investigation.
Application of an Off‐Policy Reinforcement Learning Algorithm for H∞${{H}_\infty }$ Control Design of Nonlinear Structural Systems With Completely Unknown Dynamics
Authors: Amirmojahedi M. , Mojoodi A. , Shojaee Saeed , Hamzehei‐Javaran Saleh 
Published: January 2025

ABSTRACTThis paper proposes a model‐free and online off‐policy algorithm based on reinforcement learning (RL) for vibration attenuation of earthquake‐excited structures, through designing an optimal controller. This design relies on solving a two‐player zero‐sum game theory with a Hamilton–Jacobi–Isaacs (HJI) equation, which is extremely difficult, or often impossible, to be solved for the value function and the related optimal controller. The proposed strategy uses an actor‐critic‐disturbance structure to learn the solution of the HJI equation online and forward in time, without requiring any knowledge of the system dynamics. In addition, the control and disturbance policies and value function are approximated by the actor, the disturbance, and the critic neural networks (NNs), respectively.Implementing the policy iteration technique, the NNs’ weights of the proposed model are calculated using the least square (LS) method in each iteration. In the present study, the convergence of the proposed algorithm is investigated through two distinct examples. Furthermore, the performance of this off‐policy RL strategy is studied in reducing the response of a seismically excited nonlinear structure with an active mass damper (AMD) for two cases of state feedback. The simulation results prove the effectiveness of the proposed algorithm in application to civil engineering structures.
Source Rock Characteristics and Petroleum‐Geological Significance of Paleogene Niubao Formation in the Nima Basin, Central Tibet, China
Authors: Wang Rui , Wu Xinhe , Zhang Guoqiang , Hou Dujie 
Published: January 2025

ABSTRACTNima Basin, as a typical Tethys area, is a Cenozoic oil‐bearing basin in the middle of Qinghai‐Tibet Plateau, which is expected to become an important target for petroleum exploration. The main controlling factors and models of organic matter enrichment are not yet clear. To identify the organic geochemical characteristics of high‐quality source rocks and the main controlling factors of their formation, this study analyzes the paleoclimate and paleo‐salinity indexes based on the analysis of the major and trace elements through systematic sampling of the muddy sediments of Niubao Formation in Well Shuangdi 1, Cebuco Depression. The results show that the organic matter of the E1‐2n source rocks in Nima Basin is differentially enriched, which shows that the organic matter of the middle E1‐2n source rocks is more enriched than that of the upper E1‐2n source rocks. Hydrocarbon source rocks of the middle E1‐2n are mainly of type I organic matter, while those of the upper E1‐2n are mainly of type Ⅱ1 organic matter, both of which are in the mature stage. Organic matter enrichment is primarily governed by a combination of climate and redox conditions, with humid climate and reducing environments emerging as the dominant factors, whereas salinity exerts a lesser influence. On the one hand, this study can supplement the accumulation mechanism of organic matter in the Tethys domain in Asia; on the other hand, it will fill the gap in the geological research of Nima Basin, contributing to the prediction and exploration of oil and gas resources in the Nima Basin.
Role of Seed Therapy on Estrous and Non‐Estrous Cycle in Healthy Female Rats
Authors: Majeed Iqra , Nisa Mahr Un , Rahim Muhammad Abdul , Ramadan Mohamed Fawzy , Al‐Asmari Fahad , Alissa Mohammed , Zongo Eliasse 
Published: January 2025

ABSTRACTSeed cycling therapy (SCT) involves the consumption of specific seeds during the follicular and luteal phases of the menstrual cycle to help balance reproductive hormones. This study aimed to investigate the effects of SCT on healthy female Wistar albino rats to prevent hormonal imbalances. For SCT, a seed mixture (SM1) consisting of flax, pumpkin, and soybeans (estrogenic seeds) was administered at doses of 5.4, 4, 8, and 12 g per 100 g of diet during the non‐estrous phase. Another seed mixture (SM2) comprising sunflower, sesame, and chickpeas (also estrogenic) was given at doses of 3.12, 8, and 8 g per 100 g during the estrous phase. A total of 36 female Wistar albino rats were divided into four groups, each containing nine rats: Basal diet, seed cycling 1, seed cycling 2, and seed cycling 3 (SC3). All diets were isocaloric and iso‐nitrogenous. The results showed that body weight, feed intake, and water consumption were significantly decreased in the SC3 group (p < 0.05), with increased nutrient digestibility. The tested diets led to significant positive changes in levels of follicle‐stimulating hormone, luteinizing hormone, high‐density lipoproteins (HDL‐c), low‐density lipoproteins (LDL‐c), LDL‐c/HDL‐c ratio, aspartate aminotransferase, and alanine aminotransferase across both phases of the cycle. There was also a notable increase in estrogen, testosterone, prolactin, and insulin levels (p < 0.05). Ovarian histology results showed normal morphology in the SC3 group, suggesting that this dosage was the most effective. The findings indicate that further studies are warranted to explore the genetic mechanisms underlying phytoestrogen action during reproductive stages.
Astrocytes Mediate Psychostimulant‐Induced Alterations of Spike‐Timing Dependent Synaptic Plasticity
Authors: Alberquilla Samuel , Nanclares Carmen , Expósito Sara , Gall Grace , Kofuji Paulo , Araque Alfonso , Martín Eduardo D. , Moratalla Rosario 
Published: January 2025

ABSTRACTAt cellular and circuit levels, drug addiction is considered a dysregulation of synaptic plasticity. In addition, dysfunction of the glutamate transporter 1 (GLT‐1) in the nucleus accumbens (NAc) has also been proposed as a mechanism underlying drug addiction. However, the cellular and synaptic impact of GLT‐1 alterations in the NAc remain unclear. Here we show in the NAc that 10 days withdraw after 5 days treatment with cocaine or amphetamine decreases GLT‐1 expression in astrocytes, which results in the prolongation of the excitatory postsynaptic potential (EPSP) decay kinetics in D1 receptor‐containing medium spiny neurons (D1R‐MSNs). Using the spike timing dependent plasticity (STDP) paradigm, we found that enlargement of EPSP duration results in switching the LTP elicited in control animals to LTD in psychostimulant‐treated mice. In contrast to D1‐MSNs, D2‐MSNs did not display changes in EPSP kinetics and synaptic plasticity. Notably, the psychostimulant‐induced synaptic transmission and synaptic plasticity effects were absent in IP3R2−/− mice, which lack astrocyte calcium signal, but were mimicked by the selective astrocytes stimulation with DREADDs. Finally, ceftriaxone, which upregulates GLT‐1, restored normal GLT‐1 function, EPSP kinetics, and synaptic plasticity in psychostimulant‐treated mice. Therefore, we propose that cocaine and amphetamine increase dopaminergic levels in the NAc, which stimulates astrocytes and downregulates the GLT‐1. The decreased GLT‐1 function prolonged the EPSP kinetics, leading to the modulation of the STDP, transforming the LTP observed in control animals into LTD in psychostimulant‐treated mice. Present work reveals a novel mechanism underlying the synaptic plasticity changes induced by these drugs of abuse.
Caregiver Psychosocial Factors & Stroke Survivor Cognitive Outcomes: A REGARDS‐CARES Cohort Study
Authors: Blake Jason A. , Long D. Leann , Knight Amy J. , Goodin Burel R. , Crowe Michael , Judd Suzanne E. , Rhodes J. David , Clay Olivio J. 
Published: January 2025

ABSTRACTObjectivesCaring for an individual with cognitive impairment carries a physical, mental, and emotional toll. This manuscript examines the relationship between caregiver psychosocial measures and longitudinal cognitive outcomes of stroke survivors, as well as analyzing the psychosocial factors as moderators of stroke severity and cognition.MethodsThis analysis was conducted on caregiver and stroke survivor dyads (n = 157) that participated in the Caring for Adults Recovering from the Effects of Stroke (CARES) project, an ancillary study of the REasons for Geographic and Racial Differences in Stroke (REGARDS) national cohort study. Stroke severity at hospitalization discharge was included as the primary predictor of cognitive outcomes and caregiver psychosocial factors were included as additional predictors. Cognition was assessed biennially and measured the domains of learning, memory, and executive functioning. Individual mixed‐effect models included each psychosocial factor and were covariate‐adjusted for pre‐stroke cognitive scores and demographic variables. Caregiver psychosocial factors included caregiver strain, depressive symptoms, life and leisure time satisfaction, and overall quality of life.ResultsDecreased caregiver strain (b = −0.230, 95% CI: −0.39 to −0.07; p = 0.006) and increased leisure time satisfaction (b = 0.045, 95% CI: 0.01 to 0.08; p = 0.005) were both found to be significant predictors, alongside stroke severity (b = −0.137, 95% CI: −0.22 to −0.05; p = 0.002), of better stroke survivor cognition overall. No variables were found to be moderating factors of the relationship between stroke severity and cognition.ConclusionsUnderstanding the caregiver psychosocial factors that predict stroke outcomes will help clinicians to identify stroke survivor and caregiver dyads at higher risk for worst longitudinal cognitive outcomes following stroke.
Monitoring of Temporal and Spatial Variation of Water Quality in Agricultural Reservoir During Summer
Authors: Kim Ui‐Seok , Byeon Sangdon , Hong Eun‐Mi 
Published: January 2025

ABSTRACTThis study investigated the spatiotemporal dynamics of water quality in a small‐scale agricultural reservoir, the Bangok Reservoir, during the summer. The study is motivated by the increasing importance of preserving river ecosystems, ensuring irrigation water quality and expanding agricultural water use. Seven water quality parameters were monitored at multiple points from July to October 2020, and Spearman correlation analysis was conducted to understand their spatial relationships. The results revealed that the Bangok Reservoir had reached a hypertrophic state, indicating excessive nutrient levels. While heavy rainfall and dilution effects posed challenges for accurate analysis, significant correlations were observed between chlorophyll‐a and total phosphorus, as well as between dissolved oxygen and pH. The trophic state index of Korea (TSIKO) indicated conditions favourable for algal growth due to phosphorus abundance. Higher concentrations of pollutants were found upstream, which was likely attributed to the inflow of livestock manure during rainfall and shallow water mixing. The study recommends the implementation of algae removal and reduction facilities in the upstream areas of the reservoir. These findings provide essential data for ongoing research on water quality in small‐scale agricultural reservoirs and emphasize the importance of continuous monitoring for better environmental management.
Filling the Gap in LogP$$ LogP $$ and pKa$$ {pK}_a $$ Evaluation for Saturated Fluorine‐Containing Derivatives With Machine Learning
Authors: Gurbych Oleksandr , Pavliuk Petro , Krasnienkov Dmytro , Liashuk Oleksandr , Melnykov Kostiantyn , Grygorenko Oleksandr O. 
Published: January 2025

ABSTRACTLipophilicity and acidity/basicity are fundamental physical properties that profoundly affect the compound's pharmacological activity, bioavailability, metabolism, and toxicity. Predicting lipophilicity, measured by (1‐octanol–water distribution coefficient logarithm), and acidity/basicity, measured by (negative of acid ionization constant logarithm), is essential for early drug discovery success. However, the limited availability of experimental data and poor accuracy of standard and assessment methods for saturated fluorine‐containing derivatives pose a significant challenge to achieving satisfactory results for this compound class. To overcome this challenge, we compiled a unique dataset of saturated fluorinated and corresponding non‐fluorinated derivatives with and experimental values. Aiming to create an optimal approach to acidity/basicity and lipophilicity prediction, we evaluated, trained from scratch, or fine‐tuned more than 40 machine learning models, including linear, tree‐based, and neural networks. The study was supplemented with a substructure mask explanation (SME), which confirmed the critical role of the fluorinated substituents on both physicochemical properties studied and testified to the consistency of the developed models. The results were open‐sourced as a GitHub repository, pip, conda packages, and a KNIME node, allowing the public to perform the targeted molecular design of the proposed class of compounds.
Suitability of Available Interatomic Potentials for Sn to Model Its 2D Allotropes
Authors: Maździarz Marcin 
Published: January 2025

ABSTRACTThe suitability of a range of interatomic potentials for elemental tin was evaluated in order to identify an appropriate potential for modeling the stanene (2D tin) allotropes. Structural and mechanical features of the flat (F), low‐buckled (LB), high‐buckled (HB), full dumbbell (FD), trigonal dumbbell (TD), honeycomb dumbbell (HD), and large honeycomb dumbbell (LHD) monolayer tin (stanene) phases, were gained by means of the density functional theory (DFT) and molecular statics (MS) calculations with ten different Tersoff, modified embedded atom method (MEAM), and machine‐learning‐based (ML‐IAP) interatomic potentials. A systematic quantitative comparison and discussion of the results is reported.
Assessment of DFT Functionals for Structural Determination of Lanthanide(III) Complexes Using Ligand Field Splitting
Authors: Blois Lucca , Moura Renaldo T. , Longo Ricardo L. , Malta Oscar L. , Brito Hermi F. , Carneiro Neto Albano N. 
Published: January 2025

ABSTRACTLanthanide (Ln3+) tetrakis complexes, C[Ln(L)4], are important for applications due to their high quantum yields, solubility, and stability. Their luminescent properties depend on the structure, particularly the coordination polyhedron, the assessment of computational methods for calculating their structures is paramount. Usually, this assessment uses the RMSD of distances in the [Ln(L)4]− complex or {LnO8} polyhedron between crystallographic and calculated structures. However, since ligand field (LF) splitting is highly geometry‐dependent, the RMSD between experimental LF splitting and Stark levels (RMSD‐LF) offers a more accurate measure for evaluating quantum methods. LF energy eigenvalues were calculated using the simple overlap model (SOM), with geometries optimized by various density functionals. M06 and M06‐L functionals, with def2‐SVP/MWB52(Eu)/CPCM, demonstrate the best balance in best accuracy and low computational cost, making them suitable for modeling C[Eu(L)4] complexes.
High Glucose Inhibits O‐GlcNAc Transferase Translocation in Early Osteoblast Differentiation by Altering Protein Phosphatase 2A Activity
Authors: Sitosari Heriati , Fukuhara Yoko , Weng Yao , Zheng Yilin , He Yuhan , Zheng Xinyu , Ikegame Mika , Okamura Hirohiko 
Published: January 2025

ABSTRACTOur previous study revealed a link between O‐GlcNAc transferase (OGT) localization and protein phosphatase 2A (PP2A) activity in osteoblast. Given the association of PP2A downregulation with osteoblast differentiation, we hypothesized that OGT localization changes during this process. We examined OGT localization in MC3T3‐E1 cells undergoing differentiation under normal and high glucose conditions. Changes in PP2A activity were followed by alterations in OGT localization. Organ culture of calvaria revealed similar OGT localization changes in bone‐surrounding osteoblasts near the suture area. Furthermore, the levels of O‐GlcNAc modification in various proteins including Runt‐related transcription factor 2, Osterix, and ATP synthase subunit alpha (ATP5A) were shifted in parallel with OGT translocation. These findings suggest a regulatory role of OGT, under the influence of PP2A, during osteoblast differentiation.
Impact of age at diagnosis on college adjustment in students with inflammatory bowel disease
Authors: Pham Angela , Chaudhry Naueen A. , Molina Isaac , Setya Aniruddh , Flint Andrew , Dang Anna , Wang Laurie , Potlach Tomas , Li Qian , Guo Yi , McGetrick Molly , Beasley Genie , Estores Irene , Keefer Laurie , Dubinsky Marla , Zimmermann Ellen M. 
Published: January 2025

AbstractObjectivesLittle is known about the experience of college students with inflammatory bowel disease (IBD) and the factors associated with transition readiness, academic adjustment, and alternatively, those associated with academic hardship and attrition.MethodsSurvey‐based cross‐sectional studies, including those addressing disease‐specific quality of life (Short Inflammatory Bowel Disease Questionnaire), IBD disease activity (Harvey–Bradshaw Index and Patient Simple Clinical Colitis Activity Index), college adjustment (Student Adjustment to College Questionnaire), transition readiness (Transition Readiness Assessment Questionnaire [TRAQ]), and self‐efficacy (inflammatory bowel disease self‐efficacy scale).ResultsThe surveys were completed by 135 participants (59 IBD patients [37 Crohn's disease and 22 ulcerative colitis]; 76 controls). Participants with IBD were matched with respect to age, gender, academic status, and involvement in extracurricular activities. Participants endorsed making important college decisions associated with their disease and were significantly more likely to live at home (p < 0.001), take fewer credits (p < 0.02), and more likely than controls to have their education interrupted (p < 0.0005). Participant age at diagnosis was an important factor associated with college adjustment, with older age at diagnosis having the most association with the ability to adjust to college life. As expected based on prior literature, TRAQ scores suggested better than expected transition readiness in college students with IBD (p < 0.0006) with subscores revealing that female students are better at managing health issues and daily activities.ConclusionIBD affects the college experience of students–patients significantly and can have life‐long implications. Newly diagnosed students are at risk of poor college adjustment impacting academic performance and their future success. Male students are at greater risk than female students of poor transitioning to adult IBD care. Students with IBD should receive enhanced and age‐specific modern IBD care.