bluuebunny/crossref_metadata_2025 huggingface dataset:
Engineering Immunosuppressive Drug Resistant Armored (IDRA) SARS-CoV-2 T cells for cell therapy
Authors: Bertoletti Antonio , Chen Qi , Chia Adeline , Hang Kit , Lim Amy , Koh Wee , Peng Yanchun , Gao Fei , Chen Ji , Ho Zack , Wai Lu , Kunasegaran Kamini , Tan Anthony , Bert Nina Le , Dong Tao , Vathsala Anantharaman
Published: April 2023

Solid organ transplant (SOT) recipients receive immunosuppressive drugs (ISDs) and are susceptible to develop severe COVID-19. Here, we analyzed the Spike-specific T cell response after 3 doses of mRNA vaccine in a group of SOT patients (n=136) treated with different ISDs. We demonstrated that combination of calcineurin inhibitor (CNI), mycophenolate mofetil (MMF), and prednisone (Pred) treatment regimen displayed strong suppression of mRNA vaccine-induced Spike-specific cellular response. Such defects have clinical consequences since the magnitude of vaccine-induced Spike-specific T cells was directly proportional to the ability of SOT patients to rapidly clear SARS-CoV-2 after breakthrough infection.
To then compensate the T cell defects induced by immunosuppressive treatment and to develop an alternative therapeutic strategy for SOT patients, we describe the production of 6 distinct SARS-CoV-2 epitope-specific ISD-resistant T Cell Receptor (TCR)-T cells engineered using mRNA electroporation method with reactivity minimally affected by mutations occurring in Beta, Delta, Gamma, and Omicron variants. This strategy with transient expression characteristics marks an improvement in the immunotherapeutic field and provides an attractive and novel therapeutic possibility for immunosuppressed COVID-19 patients.
Evaluation of Circulating Plasma Proteins in Breast Cancer: A Mendelian Randomization Analysis
Authors: Malarstig Anders , Grassman Felix , Dahl Leo , Dimitriou Marios , Mcleod Dianna , Gabrielson Marike , Smith-Byrne Karl , Thomas Cecilia , Huang Tzu-Hsuan , Forsberg Simon , Eriksson Per , Ulfstedt Mikael , Johansson Mattias , Sokolov Aleksandr , Schioth Helgi , Hall Per , Schwenk Jochen , Czene Kamila , Hedman Asa
Published: April 2023

The blood proteome reflects homeostatic and dynamic cellular processes across human organs. However, few blood proteomics studies of sufficient depth and size have been reported in breast cancer. To comprehensively identify circulating proteins with a causal role in breast cancer we measured 2,929 unique proteins in plasma from 598 women selected from the Karolinska Mammography Project and explored associations between proteins levels, clinical characteristics, and gene variants. The analysis revealed 812 cis-acting protein quantitative trait loci (pQTL), which were used as instruments in Mendelian randomisation (MR) analysis of breast cancer. Five proteins (P < 1.7x10-5, Bonferroni-corrected) with a potential causal role in breast cancer risk were revealed (CD160, DNPH1, LAYN, LRRC37A2 and TLR1). Confirming the MR findings in independent cohorts (FinnGen R9 and the UK Biobank), our study suggests that these proteins should be further explored as potential drug targets in breast cancer.
Green Synthesis of Magnesium Nanoparticles and Magnesium Chitosan Composite using Eichhornia Crassipes Leaf Extract and its Antibacterial Activity
Authors: Jayanthi R. , Muthukrishnan P.
Published: April 2023

The scientific community is becoming interesting in green synthesis since it is thought to be an environmentally friendly technique that produces no harmful waste and employs less toxic materials and solvents. Due to its simplicity and environmental friendliness compared to physical and chemical approaches, the use of plants to prepare metal and metal oxide nanoparticles has recently received a lot of attention. A flexible material for multiple uses, magnesium oxide nanoparticles (MgO-NPs) and magnesium chitosan composite were produced via green synthesis utilizing leaf extract. In order to make magnesium oxide nanoparticles (MgO-NPs) and magnesium chitosan composite, aqueous leaf extract of Eichhornia crassipes was used in this study. The FT-IR approach was used to establish the existence of functional groups in the synthesized MgO nanoparticles and Magnesium Chitosan Composite. An X-ray Diffraction (XRD) analysis was utilized to demonstrate the crystalline nature and size of the biosynthesized nanoparticle. The size, shape, and composition of greenly produced MgO nanoparticle and magnesium chitosan composite were confirmed using SEM with EDAX. The effect of gram positive (S. aureus) and gram negative (E. coli) bacteria on green synthesized MgO nanoparticles and magnesium chitosan composite was also investigated. Additionally, it was discovered that MgO nanoparticles significantly inhibit bacterial growth in both stains. This type of nanoparticle production makes it appropriate for antibacterial research. For the manufacture of magnesium oxide nanoparticles (MgO-NPs) and its composite in medical and environmental applications, green fabrication is a new and environmentally friendly process.
The Investigation of graded channel effect on Analog/Linearity Parameter Analysis of junctionless surrounded gate graded channel MOSFET
Authors: Misra Sarita , Biswal Sudhansu Mohan , Baral Biswajit , Pati Sudhansu Kumar
Published: April 2023

Linarity analysis of nanoscaled devices is a vital issue as nonlinearity behaviour is exhibited by them when employed in circuits for microwave and RF applications. In this work a junctionless surrounded gate graded channel MOSFET (JLSGGC MOSFET) is investigated thoroughly to analyse its linearity performance with the help of ATLAS tool of technology computer aided design (TCAD). The proposed device is compared systematically with the conventional junstionless surrounded gate MOSFET(JLSG MOSFET) to investigate their linearity. To evaluate the linearity, the figure of merits (FOMs) such as higher order tranconductances (Gm1 ,Gm2), intercept points(VIP2, VIP3, IIP3), IMD3 and 1 dB– compression point(P1 dB) are considered. The linearity of our proposed device improves by 35.5% in the view of the compression point in comparison to JLSG MOSFET before threshold voltage region of operation. The simulation results reveal a substantial enhancement in the linearity performance of the JLSGGC MOSFET. Improved linearity behaviour of JLSGGC MOSFET make it suitable for wireless RF and system on chip applications.
Blockchain Enabled Task Offloading Based on Edge Cooperation in the Digital Twin Vehicular Edge Network
Authors: Li Chunhai , Chen Qiyong , Chen Mingfeng , Su Zhaoyu , Lan Dapeng , Amir Taherkordi
Published: April 2023

The rapid development of the Internet of Vehicles (IoV) along with the emergence of intelligent applications have put forward higher requirements for massive task offloading. Even though Mobile Edge Computing (MEC) can diminish network transmission delay and ease network congestion, the constrained heterogeneous resources of a single edge server and the highly dynamic topology of vehicular edge networks may compromise the efficiency of task offloading, including latency and energy consumption. Vehicular edge networks are also vulnerable to malicious outside attacks. In this paper, we propose a new blockchain-enabled digital twin vehicular edge network (DTVEN) where digital twin (DT) is exploited to monitor network communication, computation, and caching (3C) resources management in real time to provide rich data for offloading decision-making, as well as blockchain is utilized to secure fair and decentralized offloading transactions among DTs. To ensure 3C resources sharing across edge servers, we design a DT-assisted edge cooperation scheme, which makes full use of edge resources in vehicular networks. Furthermore, a DT-based smart contract is built to achieve a quick and effective consensus process. Then, we apply a task offloading algorithm based on an improved cuckoo algorithm (ICA) and a resource allocation scheme based on greedy strategy to minimize network cost by comprehensively taking into account latency and energy consumption. Numerical results demonstrate that our proposed scheme outperforms the existing schemes in terms of network cost.
Stabilization of chlorella bioactive-peptides within biopolymeric carriers: Techno- functional, structural and biological properties
Authors: Gharehbeglou Pouria , Rad Aziz Homayouni , Jafari Seid Mahdi , Sarabandi Khashayar , akbarbaglu Zahra
Published: April 2023

Chlorella vulgaris (CV) is a green unicellular microalga with various bioactive compounds (BACs) and is highly appreciated due to its variety of biological activities. Among different sources, bioactive peptides have positive biological effects and numerous health-promoting properties. However, instability, reactivity and high bitterness are the main challenges which may restrict the application of these components in preparation of diverse food compounds. Therefore, the present investigation stresses on the capability of the gum arabic (GA), maltodextrin (MD), pectin (PE) and alginate (AL), and combinations of them as carrier agents on physicochemical, techno-functional, structural and activity of spray-dried CV peptides. Biological indices were affected by the degree of hydrolysis and free amino acid values. The alteration in physico-chemical, functional, flowability along with color characteristics may be associated with composition of the carriers. MD-AL combination showed the best performance on the mentioned indicators, physical stability and scavenging the ABTS (84%) and DPPH (77%) radicals of spray-dried (SD) peptides. The chemical structures (FTIR analysis) indicated the placement of peptides in the carrier matrix. SEM images of SD particles revealed wrinkled, irregular and hollow structures (matrix-type microsphere) in different sizes. Referring to the findings, microencapsulated CV peptides is a valuable source of BACs in functional formulations.
Blockchain based Trusted Execution Environment Architecture Analysis for Multi - source Data Fusion Scenario
Authors: Yang Nan , Yang Li , Du Xingzhou , Guo Xunyi , Zhang Yuwen , Meng Fanke
Published: April 2023

Multi-source data fusion techniques are widely applied in dynamic target detection scenarios, such as target situational awareness, radar signal resolution, and feature fusion labeling. Currently, techniques including clustering, neural networks, Bayesian analysis, and machine learning have been applied to improve the success rate of multi-source data fusion in terms of interference data noise reduction. However, there are fewer studies and applications in terms of data tamper-proofing from the data source itself and running the computation process in a trusted execution environment. Accordingly, this paper proposes a trusted execution environment architecture based on blockchain technology for multi-source data fusion scenarios, and integrates the strategy of trusted data source data verification in blockchain smart contracts into the typical multi-source data fusion application architecture. After comparison tests in a simulation environment, the trusted execution environment architecture based on blockchain technology is able to obtain a considerable improvement in fusion success rate with limited performance cost.
Prediction for diabetes by a weighted voting classifier based on normalized AUC with balancing factors
Authors: Gao Xiang , Zheng Ming
Published: April 2023

Diabetes is a metabolic disease characterized by hyperglycemia caused by insulin deficiency or resistance. Diabetes can lead to various co-morbidities and is a common medical problem worldwide. The prevention and control of diabetes would benefit from accurately identifying diabetic individuals. In this study, we test the best pipeline of different machine learning (ML) models (K-Nearest Neighbor, Random Forest, Support Vector Machine, XGBoost) under different pre-processing. Also, this study investigates and proposes a weighted soft-voting classification model (NAWVE), which uses the AUC obtained from the base model on the training set and adds a balancing factor as a weight after normalization. This integrated model can well balance different performance classifiers. In the prediction of diabetes, NAWVE received the highest scores in four metrics, with accuracy, AUC, f1, and recall of 0.9606, 0.9621, 0.9472, and 0.9677, respectively. Our proposed fusion model outperformed any individual classification model and Stacking with meta-learner as logistic regression.
Significance of oxidative stress in the diagnosis and subtype classification of intervertebral disc degeneration
Authors: Gu Jun , Zhou Xiaoyang , Xie Lin
Published: April 2023

Intervertebral disc degeneration (IVDD) is a common disease of aging, and its pathophysiological process is mainly manifested by cell aging and apoptosis, an imbalance of extracellular matrix synthesis and catabolism, and an inflammatory response. Although great efforts have been made in the study of IVDD, the specific pathogenesis and the associated regulatory genes are still not fully understood to date. Oxidative stress (OS) is an imbalance that decreases the body's intrinsic antioxidant defense system and/or increases the production of reactive oxygen species and performs multiple biological functions in the body. However, our current knowledge of the effect of OS on the progression and treatment of IVDD is still extremely limited. In this study, we obtained 35 DEGs by differential expression analysis of 437 oxidative stress-related genes (OSRGs) between IVDD patients and healthy individuals from GSE124272 and GSE150408, and subjected these DEGs to GO and KEGG analysis. Then, based on these 35 differentially expressed genes, we identified six hub OSRGs (ATP7A, MELK, NCF1, NOX1, RHOB, and SP1), and the high accuracy of these hub genes was confirmed by constructing ROC curves. In addition, to predict the risk of IVDD patients, we developed a nomogram model. Based on the six previously screened hub genes, we obtained two OSRG clusters (cluster A and B) by consensus clustering. Then, 3147 DEGs were obtained by differential gene expression analysis of all samples in the two clusters, and based on this, all samples were further divided into two gene clusters (A and B). We obtained the OSRG scores for every sample using the PCA algorithm and measured the differences among the different clusters. We investigated differences in immune cell infiltration levels between different clusters and discovered that most immune cells had higher infiltration levels in OSRG cluster B or gene cluster B. To summarize, OS is important in the formation and progression of IVDD, and we believe that our work will help guide future research on OS in IVDD.
Impact of prenatal diagnosis of critical congenital heart disease on preoperative and postoperative outcomes
Authors: Dischinger Ashley N. , Li Jennifer S. , Mulder Hillary , Spears Tracy , Chiswell Karen E. , Hoffman Timothy M. , Hartman Robert J. , Walsh Michael J. , Sang Charlie J. , Sarno Lauren A. , Paolillo Joseph A. , Welke Karl , D’Ottavio Alfred , Sethi Neeta J.
Published: April 2023

Objective: The objective of this study was to assess the relationship of prenatal diagnosis of critical congenital heart disease (CHD) to preoperative and postoperative patient findings.
Method: Retrospective analysis of neonates with critical CHD who underwent cardiothoracic surgery at one of four centers in North Carolina between 2008-2013. Surgical data collected by sites for submission to the Society of Thoracic Surgeons Congenital Heart Surgery Database (STS-CHSD) and the North Carolina CHD Lifespan Database were queried.
Results: There were 715 patients with STS records; 566 linked to the NC CHD database. Patients with prenatal diagnosis had a lower incidence of preoperative risk factors, including need for mechanical ventilation and presence of shock. However, prenatally diagnosed patients had worse short-term outcomes, including higher operative mortality, higher incidence of select postoperative complications, and longer LOS. There was no difference in one-year mortality.
Conclusion: Our findings are consistent with current literature which suggests that prenatal diagnosis of critical CHD is associated with a more optimized preoperative clinical status. However, we found that patients with prenatal diagnoses had less favorable postoperative outcomes. This needs to be investigated further, but may be secondary to patient-specific factors, such as CHD disease severity.
Multi objective factory layout planning using simulation-based reinforcement learning
Authors: Klar Matthias , Schworm Philipp , Wu Xiangqian , Glatt Moritz , Ravani Bahram , Aurich Jan C.
Published: April 2023

Factory layout planning aims at finding an optimized layout configuration under consideration of varying influences such as the material flow characteristics. Manual layout planning can be characterized as a complex decision-making process due to a large number of possible placement options. Automated planning approaches aim at reducing the manual planning effort by generating optimized layout variants in the early stages of layout planning. Recent developments have introduced Reinforcement Learning (RL) based planning approaches that allow to optimize a layout under consideration of a single optimization criterion. However, within layout planning, multiple partially conflicting planning objectives have to be considered. Such multiple objectives are not considered by existing RL-based approaches. This paper addresses this research gap by presenting a novel RL-based layout planning approach that allows consideration of multiple objectives for optimization. Furthermore, existing RL-based planning approaches only consider analytically formulated objectives such as the transportation distance. Consequently, dynamic influences in the material flow are neglected which can result in higher operational costs of the future factory. To address this issue, a discrete event simulation module is developed that allows simulating manufacturing and material flow processes simultaneously for any layout configuration generated by the RL approach. Consequently, the presented approach considers material flow simulation results for multi-objective optimization. In order to investigate the capabilities of RL-based factory layout planning, different RL architectures are compared based on a simplified application scenario. In terms of optimization objectives, the throughput time, media supply, and clarity of the material flow are considered. The best performing architecture is then applied to an industrial planning scenario with 43 functional units to illustrate the approach. Furthermore, the performance of the RL approach is compared to the manually planned layout and to the results generated by a combined version of the genetic algorithm and tabu search. The results indicate that the RL approach is capable of improving the manually planned layout significantly. Furthermore, it reaches comparable results for the throughput time and better results for the clarity of the material flow compared to the combined version of a genetic algorithm and tabu search.
Effect of surface electroplating on fragment deformation behavior subjected to contact explosion
Authors: meng yuanpei , wang chuanting , ma yue , guo lei , he yuan , jiao junjie , he yong
Published: April 2023

Prefabricated fragments can deform or even fracture subjected to contact explosion. Thus, the surface of the prefabricated fragment was electroplated with Ni, in order to change the fragment deformation behavior. The effect of surface electroplating on the fragment deformation behavior under contact explosion was analyzed. Firstly, explosion recovery experiments were carried out on uncoated and coated fragments, and different lining thicknesses were set for comparison. By observing the recovered samples, the deformation behavior of two kinds of samples was found to change after contact explosion: the uncoated fragments were fractured, while the coated fragments maintained integrity. The lining did not change the fragment deformation behavior but could change the degree of deformation. As the thickness of the lining decreased, the degree of fragmentation compression increased. To study this phenomenon, detonation wave theory and shock wave transmission theory in solids were used to calculate the pressure amplitude variation at the far-exploding surface of the fragments. The pressure amplitude of the uncoated samples instantly dropped to zero after the shock wave passed through the far-exploding surface, which resulted in the formation of tensile zone. But the pressure amplitude of the coated samples increased, which transformed the tensile zone into the compression zone, thereby preventing the fracture of the fragment near the far-exploding surface, which was consistent with the test results. Then, microscopic observation of the circumferential direction of the recovered samples showed that the coatings were better than the lining in preventing "weld melting" and fracture phenomena in the radial direction of the fragments. The test results and theories show that the coating can change the deformation behavior of the fragment and prevent the fracture phenomenon of the fragment. The coating also has better protection performance than the lining against contact explosion.
Grammatical Error Correction with Pre-trained Embeddings and Masked-Language Modeling
Authors: Saha Debartha , Singh Thoudam Doren
Published: April 2023

In recent years, use of pre-trained model for a sequence-to-sequence is becoming quite popular. Many down stream tasks can be benefited from the incorporation of pre-trained model with general language understanding. In our case, we investigate two ways to apply BERT-based pre-trained model for grammatical error correction(GEC) task. BERT has shown its great usefulness in natural language understanding tasks, such as text classification. However, applying BERT to a neural machine translation task as in our case is not straight forward. As training a BERT model is very costly in terms of system resources, fine tuning the model is quite common but using it as a contextual embedding is more challenging. As machine translation output does not generate an annotated data, evaluation of system with respect to each error type can be done only by using ERRANT scorer. So, we also analyze our models with respect to detailed error types with ERRANT scorer.
Molecular Dynamic Simulation Studies on Cyclophilin- a Missing Cord in HIV-1 Capsid Assembly
Authors: Tamalapakula Vani , Jana Sourav Kanti , Som Narayan N. , Jha Prafulla K. , Manga Vijjulatha
Published: April 2023

The discovery of human Cyclophilin A (CyPA) inhibitor is of special interest in treating immunological disorders due to its characteristic protein iterative nature explicitly associated with its peptidyl-prolyl cis-trans isomerization activity. In this work,we have exemplified the significance of the Gly89-Pro90 peptide bond in the N-terminal domain of the capsid protein (CA). The Common Pharmacophore Hypothesis(CPH) AARR has been developed from PHASE, which has shown significant r2 and q2values of 0.923and 0.631 respectively. Molecular docking studies reveal that Gln63, Arg55, Gly72 and Asn102 are the major hitpoints of HIV-1 Capsid His87Ala-Gly-Pro-Ile-Ala92 sequence preferably. Among the six active amino acids, Gly 89 and Pro 90 form major interactions with CyPA which is crucial for HIV-1 infection. This has been confirmed through mutating the respective Gly89 and Pro 90 with Aln (Alanine) residues. New molecules are screened virtually employing CPH template. Further the stability of the protein before and after the ligand binding is examined by molecular dynamics simulation studies using GROMACS. The analysis of RMSD curves and the number of hydrogen bonds are indicating that the ligand N7 (referred as ND1 in Graphical abstract) stably interact with the protein 2CYH with negligible fluctuations around the active site,
Comprehensive Assessment of Occupational Therapy Services in Lady Reading Hospital Peshawar, Pakistan
Authors: Ullah Naseem , Ayub Ayaz , Ullah Ihsan , Hussain Syed Jawad
Published: April 2023

Background:Occupational therapy is the valuation and management of bodily and psychiatric disorders using decided doings to break infirmity and promote an autonomous function in all aspects of daily life. The demand of the consumer increases and partnership of the delivery of the services of occupational therapy. Research evidence support that the patient-centered occupational therapy practice will increase to improve patient and family satisfaction and outcomes measure.Study Objective:To determine the level of patient satisfaction and associated factors from the occupational therapy department of a lady reading hospital Peshawar (LRH), PeshawarMethodology:The study design of the current research was a cross-sectional survey using PSQ 18 and SAPS. The sample size includes 387 participants, who were selected through convenience sampling. The data was analyzed using SPSS version 25.Results:The descriptive analysis of participant satisfaction from occupational therapy services of participants was In a total of 387 participants, Majority of the patients were satisfied, f=175 (45.2%) and very satisfied, f=149 (38.5%) followed by 57 (14.7%) participants that were dissatisfied from the occupational therapy services, respectively. Similarly, the descriptive analysis of participant satisfaction from occupational therapy services via (PSQ-18) of the participants was In a total of 387 participants, Majority of the patients were satisfied, f = 339 (87.6%) followed by 48 (12.4%) patients that were dissatisfied from the occupational therapy services, respectively.ConclusionThis study concluded that occupational services is effective for any health care setup, 87% of people were satisfied from these services so it should be incorporated in the health care system of Pakistan.
Persistent SARS-CoV-2 Infection in a Multiple Sclerosis Patient on Ocrelizumab: A Case Report
Authors: Ambadapoodi Raghava S. , Arnold Forest W. , Chariker Julia H. , Glynn Alex , Lauer William , Marimuthu Subathra , Rouchka Eric C. , Smith Melissa L. , Wolf Leslie A.
Published: April 2023

A 44-year-old female patient with multiple sclerosis (MS) treated with ocrelizumab was hospitalized with SARS-CoV-2 pneumonia three times over the course of five months, eventually expiring. Viral sequencing of samples from her first and last admissions suggests a single persistent SARS-CoV-2 infection. We hypothesize that her immunocompromised state, due to MS treatment with an immunosuppressive monoclonal antibody, prevented her from achieving viral clearance.
Interest-Aware Message Passing Recommender Model based on Graph Convolutional Networks
Authors: connelly merrick , Sinclair Lysandra , Dubois Solenne , Rawlins Galen
Published: April 2023

With the rapid development of deep learning, recommender systems have become an important tool to solve the problem of information overload. Collaborative filtering-based models have made effective progress in learning user and item representations. Graph Convolutional Networks (GCN) have been introduced to extract connection characteristics between users and items, but suffer from over-smoothing issues. This paper proposes an interest-aware message passing recommendation model that uses attention mechanisms and two methods of partitioning graphs to mitigate the over-smoothing problem. The model uses two methods to partition the graph into subgraphs, namely, partitioning the users and items into subgraphs separately. High-order graph convolution operations are performed in the subgraphs to learn user-item node representations based on weak user-item relationships between subgraphs, as well as user-item node representations based on weak item-item relationships between subgraphs, in order to better express users' interests and preferences. By using attention mechanisms, attention weights are added to each layer of the graph neural network to improve the representation of more important layers in the user feature representation.
A Novel Nested Production Function Approach
Authors: Pal Samidh
Published: April 2023

This paper presents a new nested production function that is specifically designed for analyzing capital and labor intensity of manufacturing industries in developing and developed regions. The paper provides a rigorous theoretical foundation for this production function. The analysis shows that the production function can be used to accurately estimate the level of capital and labor intensity in industries, as well as to analyze the capacity utilization of these industries.
JEL Code: L6, L5.
MEDOBO: 18 Million+ MEDLINE Abstracts Tagged with OBO Ontologies
Authors: Aghaebrahimian Ahmad , Anisimova Maria , Gil Manuel
Published: April 2023

Motivation: The number of biomedical and life science publications is rapidly increasing, with MEDLINE alone having over 30 million citations. The massive amount of information highlights the need for biomedical text analytics to improve the accessibility of bio-data. However, the presence of multiple subdomains within life sciences poses a significant challenge. To address this, an automatic classification system is required that can annotate texts with relevant subdomains in a text analytics pipeline. This will make text processing more efficient and precise for subsequent modules in the pipeline by reducing their search space to concepts within a limited set of subdomains. The development of text classification systems for life sciences subdomains requires training data as the first requirement, but unfortunately, a high-quality and large-scale dataset for this task is lacking.
Results: We present MEDOBO, a dataset comprising over 18 million MEDLINE abstracts that have been automatically labeled with ontologies from the Open Biological and Biomedical Ontology (OBO) Foundry using Medical Subject Headings (MeSH). Our dataset has achieved a conformity score of over 91% F1 when compared to an expert-annotated dataset. We have trained multiple models on MEDOBO to evaluate distribution and classification difficulty and the results indicate significant potential for enhancing multi-label text classification.
A Case Study of Critical Emotional Literacy Instruction in an EFL English Reading Class
Authors:   British And American Language And Literature Association Of Korea, Suh Young - Mee
Published: April 2023

The purpose of this qualitative case study is to explore how Korean college students read in English in critical and emotional reading classes and how they feel and perceive the ways they did in class. The students read articles about gender roles and discussed the issues in the articles with emotional and critical discussion questions. The data resources include students' reflections, authentic materials they used for their presentations and the teacher's notes. Data analysis based on qualitative methods revealed that negative emotional expressions such as unjust, uncomfortable, sad, angry, depressed, miserable, and adversity were frequently reported. The students not only recognized prejudice and misunderstanding regarding each gender issue but also sympathized that gender roles should not be forced socially. They also became more active in discussing and presenting missing perspectives in the article that they read. The pedagogical implication of this study is that reading instruction based on emotions and criticality could be a good reading approach that helps students have a more balanced perspective on what they read, which further helps them transform into active readers.
The Meaning and Limitations of Floral Ideologies from the Perspective of Ecological Criticism: Focused on Virginia Woolf and John Ruskin
Authors:   British And American Language And Literature Association Of Korea, Park Hyungshin
Published: April 2023

Victorian floral ideology socioculturally restricts people’s (in particular women’s) behavior and lifestyles as well as their consciousness through the symbolization of flowers on the presupposition that flowers have linguistic characteristics in themselves. In this paper the floral ideology is used as a “nodal point” for reading the writings of great Victorian thinker John Ruskin and 20th - century modernist feminist Virginia Woolf and analyzing them from the perspective of ecological criticism. Firstly, focused on the representations of flowers and women I search for the nascent ecological characteristics in Ruskin and the prototypical ecofeminism in Woolf's writings respectively; I also reconsider the significance that each of those archetypes has. Secondly, given that not only Ruskin but also cultural ecofeminists have been criticized for being essentialists, I read Woolf's essays “Ruskin” and “The Patron and the Crocus” and Ruskin's Proserpina and “Of Queen's Gardens” in the light of those criticisms. Thirdly, I contrast Ruskin's understanding of women— i.e., that care is women’s specific quality and duty—with eco - feminist claims that women are superior to men in the most important matter of caring which makes women superior to men, at least as far as care ethics is concerned. Ruskin highlights women's decorative and familial functions and idealizes pure and sacred women, but Woolf rejects these features violently. In “Killing the Angle in the House”, Woolf revises the Victorian floral ideology to dismantle the dichotomy and reposition women and nature.
Digital Solidarity and the Use of Hashtags as a Way to Label the Ecological Communities
Authors: Skivko M. O. , Korneeva E. N.
Published: April 2023

This paper examines the concept of digital solidarity that emerged in the era of high technology development, digitalization and digital culture. As a form of social support and approval in the digital space, this kind of solidarity is gaining popularity due to the possibility of using universal codes and hashtags to mark certain topics, indicate belonging to the community and “recognize” one’s own in digital communication. The coronavirus pandemic has accelerated the processes of communication in the digital space, which has created a need for the formation of new cultural codes and meanings in the digital environment. In certain areas, for example, in the environmental agenda, there is a special need for labeling a community if it is at the stage of emerging and requires information coverage. Using the example of digital solidarity in an environmental theme, explored through hashtags on social networks, this article reveals a new form of social interaction that promotes social integration and the joint expression of ideas. As a result of the study, hashtags of the first and second order are identified, which determine the range of topics, involvement in issues and are used mainly in combinations to enhance the effect and increase coverage in social networks.
The Definition of Social Loneliness and Social Well-Being of Russian Women
Authors: Gnevasheva V. A.
Published: April 2023

The study is dedicated to the study of the problem of social loneliness. The theoretical and methodological base determines the significance of this phenomenon for modern society. In this regard, the issue of gender segregation in determining the factors of increasing social loneliness is extremely acute, since to a greater extent the marital and much less reproductive behavior of women can be associated precisely with the process of avoiding social loneliness as a social phenomenon, which requires clarification of these factors of the demographic development of society. Questions of studying social loneliness are also raised in the context of the need to preserve traditional family constructs. Modern social forms of avoiding social loneliness often form prerequisites for the distortion of family tradition and transform family and social forms of interaction. The article presents assessments of the phenomenon of social loneliness in the minds of women on the basis of a study. Social loneliness is considered in the context of women’s marital and reproductive behavior. At the same time, a comparison is made of the concepts of “social loneliness” and “happiness” within the considered subsample, differentiated by gender. The definitions of the concepts of “female happiness” and “index of happiness” are given, a scale of assessments of the happiness index in the interval between two antagonistic terms is given, and the index is calculated for the considered subsample. The results are based on the author’s empirical all-Russian research conducted in the spring of 2022 (N=2500, in the gender distribution, the sample population of women was 43% – 1075 people). The sample was defined as continuous, random, and at the last stage nested, since only one gender group was taken within the framework of this article – women. The results of the study are aimed at finding ways to reduce the risks of the formation of destructive socio-psychological constructs in women’s perception of themselves and the world through the prism of social loneliness, and also contribute to the development of recommendations for the development of sustainable family constructs of the traditional type.
How to make employees happy: Evidence from Thai university lecturers
Authors: Kim Long , Pongsakornrungsilp Siwarit , Horam Ngachonpam , Suong Savoeun
Published: April 2023

Ensuring workers’ job satisfaction could help an organization maintain professional staff and achieve high productivity. Based on this evidence, many firms have tried to evaluate some specific factors which can influence job satisfaction among their employees so that they can appropriately issue new working policies to promote a better working environment. In this regard, the main objective of this paper was to investigate how salary, workload, work-family conflict, job stress, and burnout influence job satisfaction among university lecturers in Thailand. To achieve this aim, the study elaborated on a Google survey form to collect data from 450 lecturers from different universities around Thailand; the study reached a valid response rate of 86%. The results revealed that job stress, salary, workload, and work-family conflict significantly affect job satisfaction, while burnout has an insignificant impact. In comparison, job stress (β = –0.47) is the most decisive factor in job satisfaction. Salary (β = 0.31) is the second-largest factor influencing job satisfaction; workload (β = 0.30) is the third factor influencing job satisfaction. Last, work-family conflict (β = –0.23) has the most negligible impact on job satisfaction. Therefore, job satisfaction attitudes among university lecturers rely mainly on their stress level; thus, this study highly recommends that all related universities develop a new working policy to minimize job stress among lecturers.
AcknowledgmentThis study is supported by Research and Innovation Institute of Excellence, Walailak University under grant number WU66217.
The interplay among human resource information systems, organizational citizenship behavior, and organizational success in Jordanian banks
Authors: Alzghoul Amro , Moh’d Abu Bakir Sahar , Abdulraheem Ali Alsheikh Ghaith
Published: April 2023

The objective of this study is to investigate the impact of human resource information systems on organizational success and the moderating role of organizational citizenship behavior in the banking sector of Jordan. The study employed a quantitative-research method, using a stratified random sampling technique, to collect data from 141 employees working in the human resources departments of Jordanian banks. The simple regression results showed a significant positive impact of human resource information systems on organizational success, as indicated by a T-value of 4.195 at a significance level of 0.000, which was less than 0.05, an F-value of 17.569 at a significance level of 0.000. Additionally, the study found that organizational citizenship behavior played a significant moderating role in the relationship between human resource information systems and organizational success, as demonstrated by an increase in the R2 value from the first to the third models. These findings contribute to the existing literature by providing new evidence of the positive impact of human resource information systems on organizational success and the moderation effect of organizational citizenship behavior in the MENA region.
Socio-Political Audit of Ideological Work in the Russian Federation
Authors: Galiev Gali , Gimaev Il'dar
Published: April 2023

The article examines the ideological work as a technology for the state policy implementation. The purpose of the study is socio-political audit of modern ideological work. The socio-political audit is sociological analysis of the society’s development conditions in order to identify social risks and develop a systematic approach to their solution. Main prerequisites for ideological work and modeling include revival of political competition and multiparty system, pluralism of ideological and political views. The socio-political audit presupposes that there are principles, forms, and methods of ideological activity common to all political parties and public associations significant for each party in particular and the party system as a whole. The solution to the problem of the ideological work lies in the field of modeling and forecasting of socio-political processes and public administration systems. The problems of ideological work receive little attention from state, society, and research community.
An Analysis of the Structure and Composition Factors of Domestic Magazine Industry from an Ecosystem Perspective
Authors:   The Korean Publishing Science Society, Lee Yong Jun , Kim Won Je
Published: April 2023

This study aims to explore ways to make the magazine industry ecosystem sustainable by examining the status of magazine ecosystem components and their limitations by analyzing the magazine market from an ecosystem perspective. Magazine ecosystem refers to a system of value chains established by stakeholders related to the production, distribution, and use of magazine contents. Therefore, in order to analyze the magazine industry ecosystem, various factors constituting the ecosystem are diagnosed according to the life cycle of ‘production(planning and production)-distribution /service-consumption/reproduction’. As a result of the analysis, the domestic magazine industry is evaluated to have not established a virtuous cycle structure despite various adaptation strategies and support policies, and the future sustainable growth potential is weak as the magazine ecosystem is operating in an unhealthy state. Industrial policy tasks to build a virtuous cycle of the magazine industry through mutual activation of the components of the magazine ecosystem should be considered.
Epigenetics Mechanism and Therapeutic Potential of Approved Epi-drugs
in Pulmonary Hypertension Disease
Authors: Zhanqiang Li , Huoqiang Huang , Dianxiang Lu
Published: April 2023

Epigenetics is defined as a heritable change occurring in gene expression and phenotype
without altering the underlying primary DNA sequence itself. Epigenetic variation consists of DNA
methylation repatterning, posttranslational modification of histone proteins, and non-coding RNAs
(ncRNAs). Epigenetic modifications are deeply involved in tumorigenesis and tumor development.
Epigenetic abnormalities can be therapeutically reversed, and three families of epigenetic marks, including
“readers”, “writers” and “erasers”, could be modulated by epi drugs. Over the past decade,
ten small-molecule epi drugs (e.g., inhibitors of DNA methyltransferases and histone deacetylases)
have been approved by FDA or CFDA for the treatment of different cancers. Epigenetics therapy
has been most effective in oncology and has become an attractive area in cancer treatment.

:

Pulmonary hypertension (PH) encompasses a set of multifactorial diseases of progressive cardiopulmonary
disorder. WHO classifies PH into five groups based on similar pathophysiological
mechanisms, clinical presentation, haemodynamic characteristics, therapeutic management, and underlying
etiology. Since PH shows many similarities with cancer, such as proliferation, resistance to
apoptosis, and dysregulation of tumor suppressor genes, the current epigenetics therapeutic strategies
used in cancer might be considered for the treatment of PH. The role of epigenetics in the setting
of PH is a fast-growing field of research. In this review, we have summarized the up-to-date articles
on the role of epigenetic mechanisms in the context of PH. The aim of this review is to provide
a comprehensive insight from the epigenetics perspective and introduce the potential role of
approved epi drugs in PH treatment.
ПОЛІПШЕННЯ ВИКОРСТАННЯ МІОКАРДІАЛЬНИХ ЦИТОПРОТЕКТОРІВ В ЯКОСТІ МЕТАБОЛІЧНОЇ ТЕРАПІЇ ПАЦІЄНТІВ З ДЕКОМПЕНСОВАНОЮ СЕРЦЕВОЮ НЕДОСТАТНІСТЮ В РАННЬОМУ ТА ПІЗНЬОМУ ПОСТІНФАРКТНОМУ ПЕРІОДІ
Authors: Х. В. Левандовська
Published: April 2023

Серцева недостатність (СН) являється дуже частою, «епідемічною» хворобою цілого світу, яка лягає тяжким тягарем та чинить постійний тиск на систему охорони здоров’я зі значною смертністю, захворюваністю та необхідністю в частих повторних госпіталізаціях.

Декомпенсована СН лишається однією з актуальних проблем сучасної кардіології. У пацієнтів з хронічною СН IV функціонального класу смертність протягом півроку досягає 44 %. Так, після перенесеного епізоду декомпенсації кровообігу протягом наступних 6 місяців повторно зазнають госпіталізації до 50 % таких пацієнтів, а смертність таких хворих досягає 50% протягом найближчого року. З огляду на те, що рівень захворюваності на СН та її декомпенсацію постійно росте, вона залишається серйозною проблемою для національної системи здоров’я. Для поліпшення цієї ситуації необхідне вдо- сконалення диспансерного нагляду та прогнозування перебігу хвороби, від чого можутьзалежати інтенсивність спостереження, тактика та, певною мірою, акценти стратегії лікування. Тому, питання покращення функціонального стану таких пацієнтів, якості життя та виживання є актуальним.

Метою роботи є визначення нових фармакодинамічних ефектів препа- ратів аргініну та янтарної кислоти та їхній вплив на показники відновного періоду після інфаркту міокарда, ускладненого декомпенсованою СН.

У всіх хворих після перенесеного ІМ, ускладненого декомпенсованою СН спостерігали позитивну динаміку щодо зменшення частоти виникнення клінічних ознак декомпенсації СН.

Так, у всіх групах обстежених, як через 1 міс, так і через 2 міс лікування констатована позитивна динаміка на зменшення випадків загальної слабкості, скарг на зниження толерантності до фізичних навантажень та збільшення часу на відновлення після нього.

Про посилення скоротливої здатності ЛШ свідчило зменшення відсотка хворих з протодіастолічним ритмом галопу та послабленням серцевих тонів.

 

При застосуванні препаратів аргініну та янтарної кислоти на фоні стандартної терапії вказані ознаки зустрічали відповідно у 13 (86,7 %) і 12 (80,0 %) на початку лікування, у 4 (26,7 %) та 5 (33,3 %) через 1 міс терапії і

у 1 (6,7 %) та 3 (20,0%) після 2 міс лікування.

Про позитивний клінічний ефект свідчить і зменшення випадків олігурії та анасарки.

Застосування досліджуваних схем лікування чинило сприятливий вплив на покращення систолічної функції ЛШ, що свідчить про здатність досліджуваних лікарських препаратів нормалізувати показники серцевої гемодинаміки.

Використання у хворих після перенесеного ІМ, ускладненого декомпен- сованою СН, янтарної кислоти та препаратів аргініну дозволяє забезпечити корекцію ряду клініко-патогенетичних ланок захворювання, що, в цілому, сприяє підвищенню ефективності лікування даного контингенту хворих.

Ключові слова: гострий інфаркт міокарда, декомпенсована серцева недостатність, постінфарктний період, янтарна кислота, препарати аргініну.