bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Simple and Effective Method of Cross-Lingual Plagiarism Detection
Authors: Avetisyan Karen , Malajyan Arthu , Ghukasyan Tsolak , Avetisyan Arutyun , Dou Chunxia 
Published: June 2023

Abstract

We present a simple cross-lingual plagiarism detection method applicable to a large number of languages. The presented approach leverages open multilingual thesauri for candidate retrieval task and pre-trained multilingual BERT-based language models for detailed analysis. The method does not rely on machine translation and word sense disambiguation when in use, and therefore is suitable for a large number of languages, including under-resourced languages. The effectiveness of the proposed approach is demonstrated for several existing and new benchmarks, achieving state-of-the-art results for French, Russian, and Armenian languages.
A New Data-Driven Stock Selection Model Framework Using Portfolio Theory
Authors: Chakraborty Joyita , Chakraborty Shoubhik 
Published: June 2023

Abstract
Stock filtering and selection in a portfolio is a critical problem given the large number of stocks across industries, market capitalizations, tenures, product types; the amount of information regarding their financial health and performance, valuation, company management and the different degrees of uncertainty and volatility associated with each of them. Previous studies propose theoretical models considering mean- variance method and several risk constraints. This paper describes a practical methodology of filtering and selecting stocks with solid fundamentals and available at an attractive valuation, out of thousands of available stocks in the index. Along with Piotroski F-score that considers three parameters- profitability, liquidity, and operating efficiency, we develop two new scores based on comprehensive data analysis- Custom and Valuation score, to gauge the company’s fundamental performance and valuation/expensiveness of the stock price. We consider NSE, India for all analysis, and NIFTY as the index for comparing market performance. We crawl data (source: Bloomberg) of 2,000 exchange-traded stocks for FY 2013–2017 and filter it down to 47 best stocks. Further, we narrow down to 10 final stocks keeping in mind diversification across industry segments, market capitalization and attractiveness of the firm. For validation, we check the performance of these 10 final stocks between 1st April, 2017 and 12th February, 2018. We find that our basket of stocks performed significantly better and give 9.5 times higher returns than market returns. Finally, we also validate the performance as of today with metrics like compounded sales growth, compounded profit growth, stock price CAGR, and Return on Equity.
How time pressure modulates individual differences in the functional connectivity of chunk memory in chess games
Authors: Leong Chan Tat , Lin Yu Wen , Zhang Juan , Yuan Zhen 
Published: June 2023

Abstract

Previous studies on the chess game demonstrated that chess experts strongly rely on the activation of memory chunks to manifest accurate decision-making. Although the chunk memory might be affected by temporal constraints, it is unclear why the performance of chess experts is not significantly dropped under time pressure. In this study, the underlying cognitive neural mechanism was carefully inspected by accessing the chess game performance between 20 local experienced and 20 inexperienced chess players with 1-minute and 5-minute time constraints. In addition, functional near-infrared spectroscopy (fNIRS) recordings were carried out for each individual from the two groups while playing a 1-minute or 5-minute chess game. It was discovered that under temporal constraints, players exhibited different patterns of functional connectivity in frontal-parietal regions, suggesting that temporal stress can enhance segmentation processes in chess games. In particular, the experienced group exhibited significantly enhanced functional connectivity networks under time pressure including the dorsolateral prefrontal cortex, inferior frontal gyrus, supramarginal gyrus, and postcentral gyrus, which demonstrated the important role of the segmentation process for experienced players under time pressure. Our study found that experienced players were able to enhance recall, reorganize and integrate chunks to improve chess performance under time pressure.
The Effect of Age and Sex on Ocular Parameters Associated With Smartphone Use Among Students in Malawi: a Cross Sectional Study
Authors: Chikuse Masautso , Mzumara Thokozani , Afonne Joseph , Banda Owen 
Published: June 2023

Abstract

Background
Globally, the usage of digital screens is on the rise. Students are among the most users of smartphones in pursuit of academic endeavors. However, digital screens can increase the incidence of various ocular problems.
Aim
The aim of the study was to examine changes associated with accommodation parameters following the usage of smartphone use among university students.
Methods
This was a cross-sectional study conducted at Mzuzu University. We recruited 77 undergraduate students using a stratified random sampling technique. Then, we measured AF and AA before and after using a smartphone for 30 minutes while reading N8 optotypes held at 40 cm. We measured AA using the pushup method and recorded the result in diopters and AF using flippers and recorded cycles per second. We entered the data in SPSS version 25. Paired t-test was used to investigate pre and post-smartphone use measurements. We ran a person correlation test to analyze the relationship between age and change in parameters. A one-way ANOVA was used to analyze the association with gender. We considered the value of p < 0.05 statistically significant.
Results
The change between pre and post-smartphone use was statistically significant across all parameters. According to age, all the parameters increased significantly with an increase in age. However, there was no significant association with gender across all parameters.
Conclusion
Smartphone usage has an effect on the amplitude of accommodation and accommodative changes. The effect of smartphones on accommodation parameters increases with increasing age. Nevertheless, there are no gender-related differences in accommodative changes following smartphone use. Therefore, elderly users of digital devices in universities should visit eye care practitioners for a full eye examination to enable a better experience with digital devices.
Towards sustainable development – increasing public participation by simplifying water quality data presentation in the form of Eco-Heart Index
Authors: Samnani Prakash , Parmar Himakshi 
Published: June 2023

Abstract
This study applies the new user-friendly and sustainable community-based water quality index known as Eco-Heart Index for monitoring and assessing water quality. Eco-Heart considers six parameters, resulting in a pictorial output in the shape of a heart. A full heart indicates excellent water quality, whereas a broken heart indicates poor water quality. This investigation used six parameters namely, pH, dissolved oxygen, phosphate, nitrate, turbidity, and faecal coliform, for determining the status of a water body. Four water bodies in the city of Vadodara were analyzed using the index to see where they fell on a scale of pollution severity. Based on the Eco-Heart dataset of 3 years, it was found that the lakes in which broken hearts occurred ranged from a shrinking heart to a deformed heart. The obtained results were compared with the widely used National Sanitation Foundation water quality index to validate the data, which showed a moderately positive correlation. Survey documentation for the applicability of the Index on ground level was also carried out using Cronbach Alpha showing a positive response of people for use of Eco- Heart Index indicating that Eco-Heart Index can be used as an alternative, easy, and sustainable tool for assessing water bodies.
The relationships between ACE I/D and ACTN3 R577X genetic polymorphisms and the response to short-term high-altitude exercise training
Authors: Liu Tao 
Published: June 2023

Abstract
Evidence strongly shows that ACE I/D and ACTN3 R577X genetic polymorphisms are closely related to outstanding exercise performance. This study explored the relationships between the two polymorphisms and the response to short-term high-altitude exercise training. 49 young Han nationality male subjects who were newcomers to high-altitude were selected. At 3200-m high-altitude, the subjects were trained for 4 weeks, and 30-m × 2 snake run, pull-up, sit-up and 3000-m run were tested before and after training. ACE gene was grouped by II and ID + DD genotypes, and ACTN3 gene was grouped by RR and RX + XX genotypes. Results showed that the performances of ACE ID + DD groups were both slight lower than II groups in pull-up and sit-up before training, while no differences after adjusting for covariates (age, body mass index and pre-training baseline) after training. No differences existed between the groups in 30-m × 2 snake run and 3000-m run, whether before training or after training. No ACE gene × training interactions were found in all exercise indicators. For ACTN3 gene, no significances were observed. Results suggest that ACE I/D polymorphism maybe have slight effect on the response to short-term high-altitude strength training. The discussion on the results implies that enough training duration and intensity are probably important in achieving significant gene × training interaction, and there may be the difference of gender in the interaction for ACTN3 gene.
ROLE OF ALBUMIN INDUCED-VOLUME EXPANSION THERAPY FOR CEREBRAL VASOSPASM IN ANEURYSMAL SUBARACHNOID HEMORRHAGE: A SYSTEMATIC REVIEW
Authors: Ali Arshad , Rajeswaran Arun Babu , Shaikh Nisar , Al-rumaihi Ghaya , Al-sulaiti Ghanem 
Published: June 2023

Abstract

Background
This study reviews the effect of albumin-induced volume expansion therapy on symptomatic vasospasm and clinical outcome in aneurysmal subarachnoid hemorrhage (SAH) and evaluates the outcomes to those associated with use of albumin among the comparison groups.
Methods
Computer searches carried out from the Scopus, Medline, Embase, Web of Science, the Cochrane Library, and Internet documents; hand searching of medical journals; and review of reference lists. Randomized, controlled trials (RCT) and observational studies comparing albumin therapy in combination or alone with crystalloid therapy for treatment of cerebral vasospasm in aneurysmal SAH.
Results
Out of total 1078 searches, one RCT (published in two articles) and one observational (retrospective) study were included for final analysis. In RCT, albumin used for volume expansion therapy with a baseline crystalloid regime and comparison made between hypervolemic and normovolemic groups and it showed no beneficial effects for symptomatic vasospasm and clinical outcomes based on GOS. Also, use of albumin showed a tendency for sodium retention with lowering of GFR to avoid fluid overload manifestations. The retrospective study results between albumin versus non-albumin groups (crystalloids only) supported improved outcomes in former with lower in-hospital mortality. Cardio-respiratory complications were equivocal in RCT and increased in non-albumin group in retrospective study. Meta-analysis was not conducted due to heterogeneity of data.
Conclusion
Albumin-induced volume expansion therapy for cerebral vasospasm does not have substantiative evidence to improve cerebral vasospasm and clinical outcome in aneurysmal SAH. Studies with well-designed RCT’s are required to compare the use of albumin for volume expansion therapy versus standard fluid management using crystalloids to mitigate the scarcity of published data.
Parental stress and child stimulation practices: examining associations with child developmental outcomes over time in Kenya and Zambia
Authors: Okelo Kenneth , Murray Aja Louise , King Josiah , Kitsao-Wekulo Patricia , Onyango Silas , Nampijja Margaret , Auyeung Bonnie 
Published: June 2023

Abstract
Background
Parental stress often arises when parenting demands exceed the expected and actual resources available for the parents to succeed in the parenting role. Parental stress is an important contributor to parent-child relationships. This in turn affects opportunities to engage their children in stimulating activities which could improve children’s development outcomes. However, limited evidence exists from sub-Saharan Africa (SSA) on the association between parental stress, caregiving practices and child developmental outcomes.
Methods
The findings reported in this paper were derived from data collected through previously conducted longitudinal nurturing care evaluation studies in Kisumu and Nairobi Counties in Kenya, and Chisamba District in Zambia. A total of 341 caregivers and their children who participated in the three rounds of data collection were included in this study. A Random Intercept Cross-Lagged Panel model (RI-CLPM) was used to determine the association between caregivers’ parenting stress, child stimulation practices, and child developmental outcomes.
Results
The findings showed that caregiver stimulation practices were positively associated with children’s developmental outcomes. The findings on the associations between parental stress and caregiver’s stimulation practices and children’s developmental outcomes were not universally supported.
Conclusion
The findings show that improved caregiver stimulation practices are likely to improve children’s developmental outcomes. The policy implications of the findings from this study focus on improving parenting practices by addressing predictors of parental stress. This includes creating awareness and subsidising childcare services to alleviate the costs related to childcare.
Trial registration
PACTR20180774832663
Quality of life assessment and its relationship with fatigue symptom, demographic and clinical factors in rheumatoid arthritis Polish patients
Authors: Kozłowska Katarzyna Anna , Formanowicz Dorota , Bączyk Grażyna 
Published: June 2023

Abstract
The variety of clinical symptoms occurring during rheumatoid arthritis (RA) may reduce patients' quality of life. Hence, the study aimed to assess RA patients’ quality of life and determine its relationship with fatigue, demographic and clinical factors. The study group consisted of 128 RA patients diagnosed according to ACR/EULAR criteria and treated in rheumatology departments. The Polish version of the Arthritis Impact Measurement Scales-2 (AIMS-2) scale was used to assess the quality of life. The Functional Assessment of Chronic Illness Therapy - Fatigue Scale was used to assess the symptom of fatigue. The analyzed variables were sex, age, pharmacological treatment, arthritis pain, morning stiffness, hemoglobin, C-reactive protein (CRP), rheumatoid factor (RF), Ritchie Articular Index, and DAS28 disease activity. In the AIMS-2 scale, the patients had the lowest quality of life in the following subscales: arthritis pain (average 6.25 ± 2.52 points), walking and bending (average 5.63 ± 2.71 points), and emotional tension (average 4.99 ± 1.92 points); while patients presented the highest quality of life for the following subscales: support from family and friends (average 1.39 ± 2.21 points) and self-care (average 2.11 ± 2.45 points). There was a correlation between the level of quality of life and age (r = 0.24), morning stiffness (r = 0.45), CRP concentration (r = 0.29), joint tenderness (r = 0.34), and disease activity (r = 0.39). Increasing the values of parameters such as arthritis pain, disease activity, morning stiffness, and CRP level may cause a decrease in the level of quality of life. Assessment of the quality of life should be a permanent element of assessing patients with RA.
Neural computing techniques to estimate the hydraulic conductivity of porous media
Authors: Chandel Abhishish , Shankar Vijay , Kumar Navsal 
Published: June 2023

Abstract

Accurate hydraulic conductivity (K) estimation of porous media is crucial in hydrological studies. Recently, groundwater investigators have utilized neural computing techniques to indirectly estimate soil sample K instead of time-consuming direct methods. The present study utilizes easily measurable characteristics, i.e., grain size at 10 and 50% finer by weight, porosity, and uniformity coefficient as input variables to examine the efficacy of feed-forward neural network (FFNN), Kohonen self-organizing maps (KSOM), and multiple linear regression (MLR) models in estimating the K of soil samples. Model development and validation used 70 and 30% of datasets, respectively. The determination coefficient (R2), root mean square error (RMSE), and mean bias error (MBE) were used to compare the model performance with the measured K values. The study's outcome indicates that the FFNN and KSOM models better estimate the K value, while the MLR model performs merely satisfactorily. Overall, during validation, the FFNN model correlates better with the measured values having R2, RMSE, and MBE of 0.94, 0.016, and 0.006, whereas the corresponding values for KSOM are 0.91, 0.024, and −0.004, and that for MLR are 0.87, 0.024, and 0.013, respectively. Notably, the FFNN model exhibits superior prediction performance and can be employed in aquifers for precise K estimation.
Attenuation of NLRP3 Inflammasome by Cigarette Smoke is
Correlated with Decreased Defense Response of Oral Epithelial
Cells to Candida albicans
Authors: Huang Fan , Xie Ruiqi , Li Ruowei , Liu Liu , Zhao Maomao , Wang Qiong , Liu Weida , Ye Pei , Wang Wenmei , Wang Xiang 
Published: June 2023

Background:
It is well recognized that both smoke and Candida infection are
crucial risk factors for oral mucosal diseases. The nucleotide-binding domain-like
receptor family pyrin domain containing 3 (NLRP3) inflammasome and its downstream
effectors, interleukin (IL)-1β and IL-18, are pivotal to the host defense against Candida
and other pathogens.

Methods:
The present study was designed to explore the effects of cigarette smoke and
C. albicans on the NLRP3 inflammasome and its downstream signal pathway via in vitro
cell model. Oral epithelial cells (Leuk-1 cells) were exposed to cigarette smoke extract
(CSE) for 3 days and/or challenged with C. albicans.

Results:
Microscopically, Leuk-1 cells exerted a defense response to C. albicans by
markedly limiting the formation of germ tubes and microcolonies. CSE clearly eliminated
the defense response of Leuk-1 cells. Functionally, CSE repressed NLRP3
inflammasome, and IL-1β and IL-18 activation induced by C. albicans in Leuk-1 cells.

Conclusion:
Our results suggested that in oral epithelial cells, the NLRP3 inflammasome
might be one of the target pathways by which CSE attenuates innate immunity
and leads to oral disorders.
BACE-1 Inhibitors Targeting Alzheimer's Disease
Authors: Chagas Monteiro Kadja Luana , dos Santos Alcântara Marcone Gomes , Lins Freire Nathalia Monteiro , Brandão Esaú Marques , do  Nascimento Vanessa Lima , dos Santos  Viana Líbni Maísa , de  Aquino Thiago Mendonça , da Silva-Júnior Edeildo Ferreira 
Published: June 2023

Abstract:
The accumulation of amyloid-β (Aβ) is the main event related to Alzheimer's disease (AD)
progression. Over the years, several disease-modulating approaches have been reported, but without
clinical success. The amyloid cascade hypothesis evolved and proposed essential targets such as tau
protein aggregation and modulation of β-secretase (β-site amyloid precursor protein cleaving enzyme
1 - BACE-1) and γ-secretase proteases. BACE-1 cuts the amyloid precursor protein (APP) to release
the C99 fragment, giving rise to several Aβ peptide species during the subsequent γ-secretase cleavage.
In this way, BACE-1 has emerged as a clinically validated and attractive target in medicinal
chemistry, as it plays a crucial role in the rate of Aβ generation. In this review, we report the main results
of candidates in clinical trials such as E2609, MK8931, and AZD-3293, in addition to highlighting
the pharmacokinetic and pharmacodynamic-related effects of the inhibitors already reported. The
current status of developing new peptidomimetic, non-peptidomimetic, naturally occurring, and other
class inhibitors are demonstrated, considering their main limitations and lessons learned. The goal is
to provide a broad and complete approach to the subject, exploring new chemical classes and perspectives.
Drug Repurposing for Thioredoxin Interacting Protein Through Molecular Networking, Pharmacophore Modelling, and Molecular Docking Approaches
Authors: Kar Ayushi , Paramasivam Balamurugan , Jayakumar Darshini , Swaroop Akey Krishna , Selvaraj Jubie 
Published: June 2023

Background:
Diabetes Mellitus (DM) has emerged as one of the major causes behind global
all-cause mortality between the age group of 20-79 years. Thioredoxin Interacting Protein (TXNIP) is a
naturally occurring protein that primarily acts by binding to TRX protein, thereby inhibiting its ability to
maintain the cellular reduced environment and subsequent oxidative stress, which leads to dysfunctional
insulin production and pancreatic islet beta cell apoptosis.

Objective:
By inhibiting the levels of TXNIP, a search for new molecules was carried out by employing
an in-silico approach.

Methods:
Molecular networking study was carried out using Cytoscape, wherein previously FDAapproved
drugs were screened to check their ability to interact with TXNIP. This provided 14 drug molecules,
which along with 11 previously obtained drug molecules that inhibit TXNIP, were subjected to
pharmacophore generation. A pharmacophore was generated using the PharmaGist web server, which
when visualised showed two hydrogen bond acceptors and one aromatic ring. Based on the generated
pharmacophore model, we carried out virtual screening using ZINCPharmer. A total of 116 HITs were
generated based on this pharmacophore model. We then subjected the 116 molecules to Molecular Docking
against TXNIP (PDB: 4GEI) by using PyRx and the standard molecules, metformin and rosiglitazone.

Results:
Compared to the standard, we found 10 molecules that had a better binding affinity towards
TXNIP. These 10 molecules were further taken for ADMET studies. From this, all 10 compounds showed
good significant ADMET properties.

Conclusion:
From the preliminary studies, these 10 molecules showed good activity in the reversal of
diabetes mellitus by reducing the levels of TXNIP.