bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cost-Effective Deep Learning Model for Seizure Detection from One Channel: Channel-Independent Classifier.
Authors: Benchikh Abdelhafid , Benali Radhwane 
Published: May 2024

Abstract

Accurate and efficient seizure detection in epilepsy patients is a critical goal for improving their quality of life. In this study, our primary objective was to explore the feasibility of reducing the number of EEG channels required for reliable seizure detection. We accomplished this by training and verifying our model exclusively on data from the first channel of the Children's Hospital Boston dataset (CHB-MIT). Our model consistently achieved accuracies ranging from 89–99.52% across all 23 channels, demonstrating the potential for accurate seizure detection using data from a single channel. This highlights the potential for cost-effective headsets for seizure onset detection solutions in the future, which could greatly benefit individuals living with epilepsy.
Examining Return to Play Protocols for ACL Injuries using the International Classification of Functioning, Disability, and Health (ICF): A Rapid Review
Authors: Jain Varun , Tomas Vanessa , Rosenbaum Peter 
Published: May 2024

Abstract

Purpose
Anterior cruciate ligament (ACL) injuries are a common occurrence, especially in sports. These injuries require a comprehensive return-to-play (RTP) protocol that is suited for the individual. This review aims to assess existing RTP protocols for ACL injuries, using the WHO’s International Classification of Functioning, Disability, and Health (ICF) framework. The objective is to identify trends and gaps in RTP protocols based on the domains of the ICF framework.
Methods
A rapid review was conducted from the following databases: Embase, MEDLINE, and CENTRAL. Studies were screened using Covidence and reviewed using National Collaborating Centre for Methods and Tools (NCCMT) guidelines. The analysis examined the included return-to-play protocols and assessed them through the lens of the ICF framework.
Results
Fifteen studies were included in the review. Based on the protocols of the included studies, three key trends were observed: 1) Focus on functioning and disability rather than contextual factors, 2) Player’s psychological needs are considered in only a few studies (n = 4), and 3) Most return-to-play protocols were fairly rigid.
Conclusion
This review highlights key trends and gaps in existing RTP protocols for ACL injuries. The protocols can be improved by aligning themselves with the ICF, specifically through the inclusion of environmental and personal factors. This could potentially pave the way for a standardized ACL RTP protocol.
Level of Evidence: II
Factors Influencing the Performance of Elementary School Teachers: a Systematic Review
Authors: Debbarma Daniel , Momin Prof Nikme SC 
Published: May 2024

Abstract

Students' learning outcomes are contingent upon the performance of their instructors, and teachers' performance is impacted by several aspects related to their teaching profession. Since middle school is the time when a child learns, grows, and develops, elementary school instructors are quite important in shaping this student's character. Students in middle school will engage on experiential learning in the arts, social sciences, sciences, and humanities with NEP, 2020. This article does a systematic assessment of the literature in an effort to investigate how different aspects of elementary school teachers' careers affect their performance. The review covers research publications that were indexed in the WoS, Scopus, and Google Scholar databases were published between 2000 and 2023. Using the search terms "Teacher Performance" AND "Elementary," 251 research papers were found for the first phase of the study. To ensure the quality of the review, we disregarded press articles and papers written in languages other than English. We chose 52 research publications for this review by adhering to the 2020 Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA) declaration after carefully evaluating each record in light of the study's goal and scope. Five key elements were identified by the study as being connected to teachers' successful performance in the areas of principal leadership, work environment, teacher motivation, training and development, and school resources. These elements play a critical role in developing more dedicated and effective instructors who will have a greater influence on the learning outcomes of the pupils. This study also gives the impression that there are plenty of options to improve instructors' performance in the teaching profession. On the other hand, the research was confined to a small number of databases and a short time period, which may indicate areas for further investigation.
Controlled sulfuric acid alcoholysis of cellulose in a medium of primary monohydric alcohols (СnH2n+1OH, n=5-8) for obtaining cellulose nanocrystals
Authors: Surov Oleg V. , Voronova Marina I. 
Published: May 2024

Abstract

The lack of a universal method for isolating cellulose nanocrystals (CNCs) has encouraged researchers to look for new methods and approaches as alternatives to traditional sulfuric acid hydrolysis. Moreover, acid alcoholysis has long been actively used in cellulose depolymerization processes to obtain a variety of alkyl glycosides and further alcoholysis products. In the present article, the authors continue their earlier research on the synthesis of CNCs by cellulose alcoholysis in an alcoholic environment. In this work, CNCs were obtained by controlled sulfuric acid alcoholysis of sulfate cellulose in a medium of primary monohydric alcohols (СnH2n+1OH, n = 5–8). A maximum CNC yield of 60% was achieved with pentanol-1 at a sulfuric acid concentration of 50%. The paper showed that in descending order of both the acid concentration corresponding to the maximum CNC yield and the yield itself, the alcohols studied can be arranged as follows: pentanol-1, hexanol-1, heptanol-1, and octanol-1. For 1-octanol, the maximum CNC yield was 20% at an acid concentration of 40%. The physicochemical properties of the isolated CNCs were studied. No surface alkylation of the synthesized CNCs was found to occur during cellulose alcoholysis in the media of the alcohols studied, as the properties of the CNCs, in general, were similar to those of CNCs obtained by standard sulfuric acid hydrolysis.
COGNET-AMO: Personalized Prescription Recommendation using Attention over Medical Order Information
Authors: FengGao  , nazhao  , ShanLu  
Published: May 2024

Abstract

Prescription recommendation is widely discussed in smart healthcare research and applications. Current recommendation systems focus on mining structured data such as lists of diagnostic and surgical codes in patient records, without considering combining textual descriptions from Medical Orders. However, medical orders typically provide a more concise and important description of the patient, which reflects the doctor’s prescribing in tentions. Meanwhile, such information is also useful for building patient profiles and making recommendations based on profile similarities. In this paper, we propose a novel Conditional Generation Net with Attention over Medical Orders for Personalized Prescription Recom mendation (COGNET-AMO). COGNET-AMO employs an attention mechanism to model the patient’s health status with a focus on chief complaints and other important information in medical orders. Then, it constructs a patient case library that clusters patients based on their similarities over medical order information and Electronic Health Records. Finally, it combines them to generate more personalized and accurate prescription recommendations. COGNET-AMO is evaluated on the public MIMIC-III dataset, and the experimental results indicate that it can achieve 7%, 5%, 4% and 8% relative improvements than state-of-the-art approaches in Jaccard, PRAUC, F1, and average precision
Interconnections between local Schumann resonances and episodes of kidney disease
Authors: Nevoit Ganna , Stankuviene Asta , Jaruševičius Gediminas , McCraty Rollin , Landauskas Mantas , Potyazhenko Maksim , Bumblyte Inga Arune , Vainoras Alfonsas 
Published: May 2024

The aim of the study was to evaluate the interconnections between local Schumann resonances of the Earth’s magnetic field and episodes of kidney disease. Materials and Methods: Study participants included 716 males and 624 females who had episodes of kidney disease during the period of 1 January 2021 to 31 December 2021 and attended the Department of Nephrology at the Hospital of Lithuanian University of Health Sciences, Kauno klinikos. Time varying magnetic field data was collected at the magnetometer site located in Lithuania. Results and Conclusions: The study results support the hypothesis that the Earth’s magnetic field has a relationship between the number of nephrology patient hospitalizations per week and the average weekly local Schumann resonances strength in different frequency ranges. Working hypotheses are proposed for the mechanisms of the influence of the Earth’s electromagnetic field on kidney function: а) quantum mechanical features of the atomic composition of renal tissue molecules determine a kidney-specific reaction; b) cyclotron resonance mechanism; c) resonant response of cells of morphological structures of kidney tissue to external bioactive frequencies in the range of 6-8 Hz; d) mechanism of indirect influence of blood as a magnetically saturated medium.
The Current System of Ecologic Taxes in Industrialised Countries
Authors: Simonova M. D. , Yarnykh E. A. , Ermolaeva D. I. 
Published: May 2024

The goal of the article is to research the development of ecologic tax system used in taxation system of industrialised countries and taxa impact on economy. The authors summarized the system of tax bases of EU countries for ecologic taxation. The process of transforming the system of the given taxes and systematization of ecologic taxes can help identify their distinguishing features. Groups of ecologic taxes in industrialised countries play a serious role in regulating ecologic events. Among them it is necessary to mention tax on power, tax on transport, tax on resources, etc. Economic policy in the field of environment protection is affected by the process of distribution of obtained funds through fiscal mechanisms. Within the frames of research on the ecologic taxation system in the North Europe focus is made on the tax on carbon dioxide, which is a key element in this context. Tax rates grew from the initial date in the mid-1990-s to 2023. Results of regressive analysis for Denmark showed that the key factor affecting the ecologic tax earnings of the budget is the high level of tax burden. Due to toughening of tax and budegt policy tax revenues of the country grow. Positive experience of North European countries shows that to provide topicality and functionality of ecologic taxes shall be regularly upgraded and adjusted to economic conditions and ecologic requirements and trends. They are extemely important for stimulating power optimization, environment protection and finally, they are socially oriented.
Autophagy-related ncRNAs: Regulatory Roles and Potential Therapeutic Effects in Digestive System Neoplasms
Authors: Wei Liushan , Wu Shijie , Lei Xiaoyong , Yang Xiaoyan 
Published: May 2024

Abstract:
Among all cancers in the world, the incidence rate of digestive system neoplasms
accounts for about 25%, while the mortality rate accounts for about 35%. Difficulty
in detecting early digestive system cancers and its poor prognosis are the two main
reasons for the high mortality rate. Understanding of the basic cellular processes is of
significance and autophagy is one of these processes.
Considering the importance of autophagy in pathological state functions, the mechanism
of autophagy was initially carried out. In this paper, we will review the molecular mechanisms
and biological functions of autophagy-associated ncRNAs in different types of digestive
system cancers.
Autophagy is a process that supports nutrient cycling and metabolic adaptation accomplished
through multi-step lysosomal degradation. It has been suggested that autophagy
has a dual role in cancer, which limits tumorigenesis in some stages but promotes tumor
progression in others. NcRNAs are also shown to modulate cellular autophagy and thus
affect the development of digestive system neoplasms. More and more evidence
suggests that the regulation of autophagy by ncRNAs plays a complex role in cancer initiation,
progression, metastasis, recurrence, and treatment resistance, which might make
ncRNAs therapeutic targets for digestive system neoplasms. While miRNAs participate
mainly in post-transcriptional regulation, lncRNAs, and circRNAs usually serve as
molecular sponges that have more diverse regulatory functions.
LncRNA TINCR: an irreplaceable biological target in human malignancies
Authors: Jia Dengke , He Yaping , Zhang Yawu 
Published: May 2024

Abstract:
Currently, malignant tumors increasingly affect young people, which has
caused a catastrophic financial burden on people worldwide. lncRNA has gained considerable
attention because of its importance in the early diagnosis and treatment of tumors.
In addition, since terminal differentiation-induced ncRNA (abbreviated as TINCR) was
reported in a Nature article, it has received focus on targeted therapy of tumors, especially
in digestive system malignant tumors. This review aims to reveal and summarize its
important molecular mechanisms in human malignancies. In this review, relevant research
works involving the relationship between TINCR and human malignancies are
gathered through systematic retrieval of PubMed. TINCR is expressed bidirectionally in
human malignancies. TINCR functions primarily as a ceRNA in human malignancies,
and it also functions at the transcriptional level. Moreover, lncRNA TINCR has the potential
to become a novel biomolecular marker of human malignancies.
IL-1β and CXCR4 as Potential Therapeutic Targets for Alzheimer’s Disease
Authors: Zhang Yuhan , Su Qiong , Tan Jun , Deng Weiping , Wan Xiaoju , Li Yunjun , Shu Kuanyong 
Published: May 2024

Background:
Alzheimer’s Disease (AD) is a highly prevalent form of age-related
dementia. However, the underlying mechanisms of AD are largely unexplored.

Materials and Methods:
In this study, bioinformatics analysis was performed to identify the
possible therapeutic targets for AD. The GEO database was used to screen the Differentially
Expressed Genes (DEGs). Enrichment analysis, protein-protein interaction network, and LASSO
model analyses were successfully performed. Furthermore, an ELISA assay was also conducted
to determine the expression of principal genes within the AD and control samples.

Results:
A total of 416 differentially expressed genes (DEGs) were recognized based on the
GSE48350 and GSE28146 datasets. The IL-1β and CXCR4 levels were markedly elevated in
the AD samples relative to the control.

Conclusion:
The IL-1β and CXCR4 genes were identified as principal AD-related genes that
can be targeted for anti-AD therapy.
“Non-COVID-19” Coronavirus Diseases Not to be Misdiagnosed as COVID-19
Authors: Hon Kam Lun , Leung Alexander K.C. , Chan Paul K. S. , Qian Su Yun , Wong Kin Tak 
Published: May 2024

Background:
The COVID-19 global pandemic was caused by a novel coronavirus
(SARS-CoV-2), which then became an endemic infection. COVID refers to the World Health Organization’s
coined acronym for coronavirus disease.

Case Presentation:
We have, herein, reported three cases of coronavirus diseases that could have
been misdiagnosed as COVID-19. All of these families reported previous COVID-19 infection
based on self-administered Rapid Antigen Testing (RAT) and completed a period of home isolation.
In the current presentation, one child had an RSV-associated asthma attack, one had
norovirus gastritis, and another had an infection with Campylobacter and E. coli. NL63, OC43,
and 229E, respectively, were found by PCR in these patients.

Discussion:
Seven human coronaviruses cause infectious diseases, including in children. Confusion
and issues associated with coronavirus disease diagnosis by Polymerase Chain Reaction
(PCR) testing and Rapid Antigen Test (RAT) may arise. Some RATs are Antigen Fluorescent Immunoassays
(FIA) that target monoclonal antibodies for the detection of viral nucleocapsid protein.
Others target the non-nucleocapsid proteins. False positivity is possible. False negativity is also
possible if the specimen’s antigen level is below the test's detection limit. RAT results usually
remain positive for 6 to 7 days, but they may stay positive as long as 2 weeks. Stigmatization with
the COVID-19 diagnosis may occur. The PCR test is a highly sensitive ‘gold standard’ for the detection
of COVID-19, but it can also detect non-infectious individuals’ fragmented non-infectious
viral nucleic acids, and could be positive for a long period. An individual may be tested positive
for a few weeks to months after the individual becomes non-infectious.

Conclusion:
The cases presented here had coronavirus diseases other than COVID-19. Coronavirus
diseases can be caused by coronavirus variants other than SARS-CoV-2. Co-infections with
other pathogens are present in these diseases. PCR testing of non-COVID-19 diseases may help in
the accurate diagnosis of these ailments and respiratory co-infections.
Molecular Generation, QSAR, and Molecular Dynamic Simulation Studies for Virtual Screening of DNA Polymerase Theta Inhibitors
Authors: Qin Zijian , Liu Lei , Gao Mohan , Feng Wei , Huang Changjiang , Liu Wei 
Published: May 2024

Aims:
The machine learning-based QSAR modeling procedure, molecular generations,
and molecular dynamic simulations were applied to virtually screen the DNA polymerase
theta inhibitors.

Background:
The DNA polymerase theta (Polθ or POLQ) is an attractive target for treatments
of homologous recombination deficient (such as BRCA deficient) cancers. There are no approved
drugs for targeting POLQ, and only one inhibitor is in Phase Ⅱclinical trials; thus, it is
necessary to develop novel POLQ inhibitors.

Objectives:
To build machine learning models that predict the bioactivities of POLQ inhibitors.
To build molecular generation models that generate diverse molecules. To virtually screen the
generated molecules by the machine learning models. To analyze the binding modes of the
screening results by molecular dynamic simulations.

Methods:
In the present work, 325 inhibitors with POLQ polymerase domain bioactivities were
Collected. Two machine learning methods, random forest and deep neural network, were used
for building the ligand- and structure-based quantitative structure-activity relationship (QSAR)
models. The substructure replacement-based method and transfer learning-based deep recurrent
neural network method were used for molecular generations. Molecular docking and consensus
QSAR models were carried out for virtual screening. The molecular dynamic simulations and
MM/GBSA binding free energy calculation and decomposition were used to further analyze the
screening results.

result:
The MCC values of the best ligand- and structure-based consensus QSAR models reached 0.651 and 0.361 for the test set, respectively. The machine learning-based docking scores had better predicted ability to distinguish the highly and weakly active poses than the original docking scores. The 96490 molecules were generated by both molecular generation methods, and 10 molecules were retained by virtual screening. Four favorable interactions were concluded by molecular dynamic simulations.

Results:
The MCC values of the best ligand- and structure-based consensus QSAR models
reached 0.651 and 0.361 for the test set, respectively. The machine learning-based docking
scores had better-predicted ability to distinguish the highly and weakly active poses than the
original docking scores. The 96490 molecules were generated by both molecular generation
methods, and 10 molecules were retained by virtual screening. Four favorable interactions were
concluded by molecular dynamic simulations.

Conclusion:
We hope that the screening results and the binding modes are helpful for designing
the highly active POLQ polymerase inhibitors and the models of the molecular design workflow
can be used as reliable tools for drug design.
The Mechanisms of Mesenchymal Stem Cells in the Treatment of
Experimental Autoimmune Encephalomyelitis
Authors: Xue Chunran , Yu Haojun , Sun Ye , Wang Xiying , Pei Xuzhong , Chen Yi , Guan Yangtai 
Published: May 2024

Abstract:
Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system and is a leading cause of disability in young adults. Most therapeutic strategies are
based on immunosuppressant effects. However, none of the drugs showed complete remission and
may result in serious adverse events such as infection. Mesenchymal stem cells (MSCs) have
gained much attention and are considered a potential therapeutic strategy owing to their immunomodulatory effects and neuroprotective functions. Experimental autoimmune encephalomyelitis
(EAE), a classical animal model for MS, is widely used to explore the efficacy and mechanism of
MSC transplantation. This review summarises the therapeutic mechanism of MSCs in the treatment of EAE, including the effects on immune cells (T cells, B cells, dendritic cells, natural killer
cells) and central nervous system-resident cells (astroglia, microglia, oligodendrocytes, neurons)
as well as various strategies to improve the efficacy of MSCs in the treatment of EAE. Additionally, we discuss the clinical application of MSCs for MS patients as well as the challenges and
prospects of MSC transplantation.
A Review on Structural Configurations of Magnetorheological Clutch
Authors: Liu Baopeng , Ma Ran , Chen Chong , Tang Jiahao 
Published: May 2024

Abstract::
In recent years, with the development of "smart materials", magnetorheological fluids
have been widely used in the fields of mechanical transmission, aerospace, construction, and medical
treatment because of the unique rheological properties that can occur under the action of an applied
magnetic field. Magnetorheological clutches with magnetorheological fluid as the working medium
have the advantages of simple structure, low noise, fast response, and easy control compared with
traditional clutches. In order to provide an overview of the issues encountered by magnetorheological
clutches in their current applications and to summarize the optimization designs implemented to
address these issues, with the aim of promoting the widespread application of magnetorheological
clutches. The basic theory of magnetorheological fluid and magnetorheological clutch design method
is introduced. The related patents of magnetorheological clutch structure design are reviewed. The
characteristics and advantages of magnetorheological clutch in different working modes are summarized.
This study introduces the basic theory of magnetorheological fluid. The problems existing in
the application of magnetorheological clutch are explained. The characteristics of magnetorheological
clutch based on shear mode, shear-extrusion mode and heat dissipation mode are described. The
development trend of magnetorheological clutch is discussed. This paper provides an important basis
for the design and application of magnetorheological clutch, offers specific guidance for improving
the torque transmission capacity and heat dissipation capacity of magnetorheological clutch, and lays
a theoretical foundation for the wide application of magnetorheological clutch in the future.