bluuebunny/crossref_metadata_2025_split huggingface dataset:
Edaravone Dexborneol mitigates pathology in animal and cell culture models of Alzheimer’s disease by inhibiting neuroinflammation and neuronal necroptosis
Authors: Xu Chong , Mei Yilan , Yang Ruihan , Luo Qiudan , Zhang Jienian , Kou Xiaolin , Hu Jianfeng , Wang Yujie , Li Yue , Chen Rong , Zhang Zhengping , Yao Yuyuan , Sima Jian 
Published: April 2024

Abstract
Background
Alzheimer’s disease (AD) is the most prevalent neurodegenerative disease with limited disease-modifying treatments. Drug repositioning strategy has now emerged as a promising approach for anti-AD drug discovery. Using 5×FAD mice and Aβ-treated neurons in culture, we tested the efficacy of Y-2, a compounded drug containing the antioxidant Edaravone (Eda), a pyrazolone and (+)-Borneol, an anti-inflammatory diterpenoid from cinnamon, approved for use in amyotrophic lateral sclerosis patients.

Results
We examined effects of Y-2 versus Eda alone by i.p. administered in 8-week-old 5×FAD mice (females) for 4 months by comparing cognitive function, Aβ pathologies, neuronal necroptosis and neuroinflammation. Using primary neurons and astrocytes, as well as neuronal and astrocytic cell lines, we elucidated the molecular mechanisms of Y-2 by examining neuronal injury, astrocyte-mediated inflammation and necroptosis. Here, we find that Y-2 improves cognitive function in AD mice. Histopathological data show that Y-2, better than Eda alone, markedly ameliorates Aβ pathologies including Aβ burden, astrogliosis/microgliosis, and Tau phosphorylation. In addition, Y-2 reduces Aβ-induced neuronal injury including neurite damage, mitochondrial impairment, reactive oxygen species production and NAD+ depletion. Notably, Y-2 inhibits astrocyte-mediated neuroinflammation and attenuates TNF-α-triggered neuronal necroptosis in cell cultures and AD mice. RNA-seq further demonstrates that Y-2, compared to Eda, indeed upregulates anti-inflammation pathways in astrocytes.

Conclusions
Our findings infer that Y-2, better than Eda alone, mitigates AD pathology and may provide a potential drug candidate for AD treatment.
Hospital admissions among patients with Comorbid Substance Use disorders: a secondary analysis of predictors from the NavSTAR Trial
Authors: Nordeck Courtney D. , Kelly Sharon M. , Schwartz Robert P. , Mitchell Shannon G. , Welsh Christopher , O’Grady Kevin E. , Gryczynski Jan 
Published: April 2024

Abstract
Background
Individuals with substance use disorders (SUDs) frequently use acute hospital services. The Navigation Services to Avoid Rehospitalization (NavSTAR) trial found that a patient navigation intervention for hospitalized patients with comorbid SUDs reduced subsequent inpatient admissions compared to treatment-as-usual (TAU).

Methods
This secondary analysis extends previous findings from the NavSTAR trial by examining whether selected patient characteristics independently predicted hospital service utilization and moderated the effect of the NavSTAR intervention. Participants were 400 medical/surgical hospital patients with comorbid SUDs. We analyzed 30- and 90-day inpatient readmissions (one or more readmissions) and cumulative incidence of inpatient admissions through 12 months using multivariable logistic and negative binomial regression, respectively.

Results
Consistent with primary findings and controlling for patient factors, NavSTAR participants were less likely than TAU participants to be readmitted within 30 (P = 0.001) and 90 (P = 0.03) days and had fewer total readmissions over 12 months (P = 0.008). Hospitalization in the previous year (P < 0.001) was associated with cumulative readmissions over 12 months, whereas Medicaid insurance (P = 0.03) and index diagnoses of infection (P = 0.001) and injuries, poisonings, or procedural complications (P = 0.004) were associated with fewer readmissions. None of the selected covariates moderated the effect of the NavSTAR intervention.

Conclusions
Previous findings showed that patient navigation could reduce repeat hospital admissions among patients with comorbid SUDs. Several patient factors were independently associated with readmission. Future research should investigate risk factors for hospital readmission among patients with comorbid SUDs to optimize interventions.

Trial Registration
NIH ClinicalTrials.gov NCT02599818, Registered November 9, 2015 https://classic.clinicaltrials.gov/ct2/show/NCT02599818.
The relationship between climate change anxiety and pro-environmental behavior in adolescents: the mediating role of future self-continuity and the moderating role of green self-efficacy
Authors: Qin Ziqi , Wu Qi , Bi Cuihua , Deng Yanwei , Hu Qiuyun 
Published: April 2024

Abstract
Background
Climate change is seriously affecting human survival and development, and the anxiety caused by it is becoming increasingly prominent. How to alleviate people’s climate change anxiety, improve the ecological environment, and promote the formation of green lifestyles among people, especially young people, is an important topic that deserves to be explored. This study examined the relationship between climate change anxiety and pro-environmental behaviors and the underlying psychological mechanism in the adolescents.

Methods
This study explored the crucial role of future self-continuity (FSC) between climate change anxiety (CCA) and pro-environmental behaviors (PEB) in adolescents and examined the moderating role of green self-efficacy (GSE). In this study, a total of 1,851 middle and high school students from five schools were selected for questionnaire survey.

Results
The results showed that (1) in both middle and high school grades, there was a significant negative correlation between climate change anxiety and pro-environmental behaviors; future self-continuity was significantly positively correlated with pro-environmental behaviors; green self-efficacy was negatively correlated with climate change anxiety and positively correlated with pro-environmental behaviors; (2) climate change anxiety negatively predicted pro-environmental behaviors, and compared with middle school grades, high school grade adolescents’ climate change anxiety was significantly predicted pro-environmental behaviors. Future self-continuity mediated the relationship between climate change anxiety and pro-environmental behaviors in both grades. (3) green self-efficacy moderated the second half of the pathway of the mediation model only in middle grades. Specifically in middle school, future self-continuity did not significantly predict pro-environmental behaviors at low green self-efficacy level, but positively predicted pro-environmental behaviors at high green self-efficacy level. In high school, future self-continuity did not significantly predict pro-environmental behaviors in either high or low green self-efficacy level.

Conclusion
This study suggests that there is a moderated mediation model between adolescents’ climate change anxiety and pro-environmental behaviors, with different mediating and moderating effects among adolescents in various grades. This is of great significance in alleviating climate anxiety among adolescents and cultivating their pro-environmental behaviors.
LBCapsNet: a lightweight balanced capsule framework for image classification of porcelain fragments
Authors: Li Ruoxue , Geng Guohua , Wang Xizhi , Qin Yulin , Liu Yangyang , Zhou Pengbo , Zhang Haibo 
Published: April 2024

Abstract
The image classification task of porcelain fragments is of great significance for the digital preservation of cultural heritage. However, common issues are encountered in the image processing of porcelain fragments, including the low computation speed, decreased accuracy due to the uneven distribution of sample categories, and model instability. This study proposes a novel Capsule Network model, referred to as LBCapsNet, which is suitable for the extraction of features from images of porcelain artifacts fragments. A bottleneck-like channel transformation module denoted by ChannelTrans, which resides between the convolutional layer and the PrimaryCaps layer, was first designed. This module is used to reduce the computational complexity and enhance the processing speed when dealing with intricate porcelain images. The MF-R loss function was then proposed by incorporating focal loss into the original loss function. This allows to address the issue of imbalanced distribution of ceramic shard samples and reduce the classification errors, which leads to faster convergence with smoother trend. Finally, an adaptive dynamic routing mechanism is designed with a dynamic learning rate to enhance the overall stability of the classification process. The experimental results obtained on public datasets, such as MNIST, Fashion- MNIST, CIFAR10, FMD and DTD as well as porcelain fragments dataset, demonstrate that LBCapsNet achieves high classification accuracy with faster and more stable computation compared with existing methods. Furthermore, the ability of LBCapsNet to process special textures can provide technical support for the digital preservation and restoration of cultural heritage.
Big data resolving using Apache Spark for load forecasting and demand response in smart grid: a case study of Low Carbon London Project
Authors: Ali El-Sayed Ali Hussien , Alham M. H. , Ibrahim Doaa Khalil 
Published: April 2024

AbstractUsing recent information and communication technologies for monitoring and management initiates a revolution in the smart grid. These technologies generate massive data that can only be processed using big data tools. This paper emphasizes the role of big data in resolving load forecasting, renewable energy sources integration, and demand response as significant aspects of smart grids. Meters data from the Low Carbon London Project is investigated as a case study. Because of the immense stream of meters' readings and exogenous data added to load forecasting models, addressing the problem is in the context of big data. Descriptive analytics are developed using Spark SQL to get insights regarding household energy consumption. Spark MLlib is utilized for predictive analytics by building scalable machine learning models accommodating meters' data streams. Multivariate polynomial regression and decision tree models are preferred here based on the big data point of view and the literature that ensures they are accurate and interpretable. The results confirmed the descriptive analytics and data visualization capabilities to provide valuable insights, guide the feature selection process, and enhance load forecasting models' accuracy. Accordingly, proper evaluation of demand response programs and integration of renewable energy resources is accomplished using achieved load forecasting results.
Asymptomatic mature intrapericardial teratoma in an adult: a case report of a rare condition
Authors: Watanabe Hikaru , Kanauchi Naoki , Suzuki Jun , Matsuo Soumei , Shiono Satoshi 
Published: April 2024

Abstract
Background
Benign mature teratomas are the most common type of anterior mediastinal germ cell tumor. Mature intrapericardial teratomas are generally diagnosed during infancy because of symptoms of cardiac compression. In contrast, mature adult intrapericardial teratomas are extremely rare, accounting for less than 1% of mature intrapericardial teratomas. We describe herein a case of a mature intrapericardial teratoma in an asymptomatic adult.

Case presentation
A 52-year-old woman was found by computed tomography during a health checkup to have an anterior mediastinal mass. She was asymptomatic and hemodynamically stable with no evidence of heart failure. The preoperative provisional radiological diagnosis was a mature intrapericardial teratoma. A median sternotomy revealed an approximately 5-cm diameter protruding intrapericardial mass with a smooth surface. The mass was completely resected. Histopathological examination resulted in a diagnosis of a mature intrapericardial teratoma. The patient did well and has no evidence of recurrence 5 years after surgery.

Conclusions
Mature intrapericardial teratomas in adults are extremely rare. Given the risks of malignant transformation, rupture, compression of the heart, and infection, excision is indicated to prevent development of serious manifestations.
The current techniques in dorsal augmentation rhinoplasty: a comprehensive review
Authors: Nikparto Nariman , Yari Amir , Mehraban Saeed Hasani , Bigdelou Meysam , Asadi Amirali , Darehdor Amirmohammad Arabi , Nezaminia Sayna , Khani Mehdi , Hakim Lotfollah Kamali , Eskandari Fateme , Erfani Maryam , Tebyaniyan Hamid 
Published: April 2024

Abstract
Background
An essential aspect of rhinoplasty is the enhancement of the nasal dorsal contour by performing dorsal augmentation (DA) rhinoplasty. A wide range of techniques are available for DA as the demand for aesthetic nasal refinement grows. This review aims to provide a comprehensive overview of the current techniques used in DA rhinoplasty.

Main body
Research articles on DA rhinoplasty techniques were identified through a comprehensive literature search. Scopus, PubMed, and Web of Science were used as electronic databases. Each database was searched for articles published since its inception. DA rhinoplasty techniques were examined in this literature review. Methodological quality was assessed for the selected studies, and data was extracted to examine materials used, surgical approaches, and reported outcomes for each technique. Various DA methods, including autologous grafts and synthetic implants, are examined in-depth in this review. Comparing approaches can help better understand their respective advantages and limitations.

Conclusion
A wealth of techniques is available for DA rhinoplasty, each with advantages. Patients’ nasal anatomy, desired outcomes, and potential risks must be considered by surgeons when determining their surgical approach. DA methods continue to evolve rapidly, creating a need for a thorough understanding of the current landscape to make informed decisions.
The effect of octenidine dihydrochloride on the antibacterial activity of a formulated resin composite: an in vitro study
Authors: Mansour Mahitab , Salah Tarek , Salem Haidy N. 
Published: April 2024

Abstract
Background
It has been noticed that failure of composite resin restorations can be attributed to either of the two following causes: fracture or secondary caries. For that reason, it is mandatory to formulate a restorative material with antibacterial effect. An octenidine dihydrochloride (OCT) has been assessed as an alternative to antimicrobial material, such as chlorhexidine due to their higher microbicidal effect and less cytotoxicity.

Objective
Current study aimed to add different concentrations of octenidine dihydrochloride into experimental flowable resin composite and evaluate its antibacterial activity over different periods of time to provide the manufacturers with more precise information.

Methods
A flowable resin composite material mix was formulated. Octenidine dihydrochloride antibacterial material was then added separately to the formulated mix at 1% wt. and 1.5% wt. concentration, respectively. Antibacterial activity was assessed against Streptococcus mutans using agar diffusion test and compared to a commercial resin composite.

Results
It showed that by increasing the percentage of incorporated octenidine dihydrochloride (1% and 1.5%), respectively, the antibacterial efficacy against the Streptococcus mutans increased. Results of this study also showed the time had a significant decrease in the antibacterial effect.

Conclusions
It can be concluded that by the incorporation of octenidine dihydrochloride (1% and 1.5%), respectively, the antibacterial efficacy against the Streptococcus mutans increased. Time had a significant decrease in the antibacterial effect of OCT.
Scheduling based on residual energy of sensors to extend the lifetime of network in wireless sensor network
Authors: Pathak Anushri Narendra , Yadav Arvind R. 
Published: April 2024

AbstractThe maximum amount of sensor energy is consumed during broadcasting. Hence in order to make delay with the network lifetime of a wireless sensor network (WSN), there is a need of optimum utilization of sensor energy. Scheduling in media access control (MAC) layer plays a critical role in the designing of WSN to avoid collision and conserve more energy. The Distributed energy aware MAC (DE-MAC) is one such efficient and feasible MAC protocol that addresses the energy management issues in WSN. This work proposes an extension of DE-MAC framework by allocating varying period slots to the nodes based on their residual energy level. Energy of all the nodes is exchanged at regular intervals. Accordingly, the nodes with low energy are allocated less time slots for broadcast and are made to sleep for more time. Simulation is carried out using NS2 (network simulator 2) and the efficiency and performance results are compared with DE-MAC for analysis. Improvement in performance for various parameters such as residual energy, throughput, and packet delivery ratio can be observed.
The influence of sport climbing on depressive disorders
Authors: Rosołowska-Żak Sara , Sambura Sambura , Paschke Patrycja , Miczek Igor , Pałuchowska Julia , Szymkowicz Anna 
Published: April 2024

Introduction:
According to the World Health Organization (WHO), depression is the most common mental disorder, affecting a significant percentage of the adult population. The disease is associated with many negative health consequences and is one of the leading causes of disability and inability to work worldwide. Sports climbing can be a great method, complementary to psychotherapy, used to reduce the symptoms of depressive disorders.
Aim of the study:
The aim of our work is to review and summarize the most interesting conclusions from research on the impact of climbing as a complementary form of treatment for depressive disorders.
Material and methods:
We conducted a review of scientific publications published in the years 2004-2024 in English and Polish in the PubMed and Google Scholar databases. We used keywords such as "depression" and "sport climbing".
Conclusions:
Research shows that sport climbing can alleviate depressive symptoms, have a positive impact on emotion regulation and lead to changes in brain functioning.
Concomitant Achalasia and Barrett's Esophagus: A Rare Coincidence
Authors: Altfillisch Charles , Mok Anthony , Hamo Falak , Yuquimpo Kyle , Dunshee Carlyle , Samo Salih 
Published: April 2024

ABSTRACT
The pathophysiologies of achalasia and gastroesophageal reflux disease with Barrett's esophagus are highly distinct, though the clinical signs and symptoms of both are highly overlapped. The concomitant development of both achalasia and Barrett's esophagus is rare. We describe a case of a patient with a concomitant diagnosis of both pathologies and further explain the epidemiology of carrying both diseases simultaneously.
Chern flat, Chern–Ricci flat twisted product in almost Hermitian geometry
Authors: Kawamura Masaya 
Published: April 2024

Abstract
We study Chern flat, Chern–Ricci flat twisted product almost Hermitian manifolds. We extend the twisted product to almost Hermitian manifolds, and give some formulae of the Chern curvature, the Chern–Ricci curvature and the Chern scalar curvature on the twisted product almost Hermitian manifold under the quasi-Kähler condition.
First predation event of an anuran by Holochilus chacarius in the Pantanal wetland, central portion of South America
Authors: Hannibal Wellington , Sousa Daiene L. H. , Sinani Thomaz R. F. , Landgref Filho Paulo 
Published: April 2024

Abstract
The marsh rat (Holochilus chacarius) is considered a specialist herbivorous rodent. In this study, we report the first predation event of an anuran (Pseudis platensis) by a marsh rat in the Pantanal wetlands, South America. This unprecedent event in a flooded wetland in the municipality of Corumbá, Mato Grosso do Sul state, southwestern Brazil. Due to the flashlight, the rodent ceased its predatory activity and left, carrying the anuran in its mouth. Our findings contribute to the natural history of the marsh rat, highlighting that this herbivorous rodent can incorporate fresh animal matter into its diet.
Likelihood and decoding problems for mixed space hidden Markov model
Authors: Kroumbi Hafssa , Nasroallah Abdelaziz 
Published: April 2024

AbstractA Hidden Markov Model (HMM) is a couple of stochastic processes: A hidden Markov process and an observed emission process. Generally, the HMMs are used to study the hidden behavior of random systems through some observed emission sequences generated by the phenomenon under study. In this frame-work, we propose to solve the likelihood and the decoding problems of HMMs whose state space is composed of a continuous part and a discrete part. We adapt forward, backward and Viterbi algorithms to the case of our proposal. Numerical examples and Monte Carlo simulations are considered to show the efficiency and the adaptation of the algorithms for the proposed model.
The Poetics of Listening
Authors: Mendes-Flohr Paul 
Published: April 2024

Abstract
Noting that one may hear without listening, the article probes the phenomenological and epistemic distinction between hearing and listening. To listen is to be attuned to voices muffled by silence or camouflaged by a defensive rhetoric resonant with a voice inflected by festering wounds, existential and political. In exploring how one is to listen to these voices of silence, I draw upon Martin Buber’s concept of dialogical “inclusion” of others’ stories, to listen without interpretation to allow the voice behind his – or her or their – story, be it merely etched viscerally in the language of silence, to dwell aside one’s own story in a dialogue unencumbered by perceptions of the Other forged by cultural, social, political constructs, and perhaps most insidiously one’s own defensive postures.
Biopolymers in geotechnical engineering for soil improvement
Authors: Fradj Nourhen , Török Ákos , Kádár István 
Published: April 2024

AbstractSeveral biopolymer applications in geotechnical engineering have been adopted in recent years, notably dust control, soil strengthening, and erosion control. Although biopolymer soil treatment approaches can assure engineering efficiency while satisfying environmental protection standards, this technology requires more validation regarding site adaptability, durability, and economic feasibility. The influence of biopolymers on soil behavior is discussed within geotechnical engineering applications and practices, including soil consistency limits, strength and deformation parameters, hydraulic conductivity, soil-water properties, and erosion prevention.Laboratory studies were performed to confirm the behavior of the treated soil, including Atterberg limits, proctor, and direct shear tests utilizing two types of biopolymers: guar gum and xanthan gum.