bluuebunny/crossref_metadata_2025_split huggingface dataset:
Discerning Sustainability: Analyzing Asia's Greenhouse Gas Emissions Through AI
Authors: Ramrakhiani Nikita , Chitale Devashish , Kukreja Anup , Mhetre Kunal 
Published: June 2024

Abstract

The escalating global apprehension regarding climate change and its consequences on the environment have incited extensive inquiry into the origins and repercussions of greenhouse gas emissions, particularly carbon dioxide (CO2) emissions. Amongst the distinct geographical regions worldwide, Asia is a substantial contributor to these emissions, necessitating an exhaustive examination of its constituent elements which encompass land utilization, industrial undertakings, and various other demographic factors. This instigates the basis for our research with the intent of exploring multifaceted dimensions of CO2 emissions in Asian countries, with a pronounced emphasis on emissions stemming from environmental Indicators. The inherent objective of our research is to stratify the per capita CO2 emissions of these nations into discrete categories predicated on sustainability benchmarks. In this research, we work with AI algorithms like Decision tree, Random Forest and logistic regression, to ascertain and substantiate the classifications which can be categorized with regards to their CO2 emissions. The amalgamation of these algorithms with data visualization tools like Tableau and Power BI contribute towards identifying existing patterns and add a dynamic edge to our model. The aim of the research is to analyze the cause of disparities between CO2 emissions and develop insights to reduce or mitigate the effects of emissions on the environment while maintaining industrial development & quality of life. Unveiling critical discernments into the several factors that wield influence over CO2 emissions to mitigate the effects is a crucial need today. The findings also identify the leading contributors among Asian nations in terms of CO2 emissions. The key focus of this research is about the significance of adopting sustainable methodologies to curtail CO2 emissions within Asian countries while maintaining a balance with their overall development. This endeavor not only distinguishes the nations with the loftiest emissions but also Gives input pertaining to assign priority in their efforts to mitigate their environmental footprint. By leveraging the insights emanating from this investigation, policymakers, environmental advocates, and stakeholders can devise strategies to achieve sustainability and alleviate the detrimental ramifications of CO2 emissions in the region. This research serves as an indispensable initial stride toward a more ecologically aware and sustainable future for Asian nations and the global community at large.
A novel study of β1- and β2-adrenergic receptors present on PBMCs, T cells, monocytes and NK cells by radioligand method: quantitation and correlations
Authors: Peklo M. M. , Smolyakova E. V. , Lipatova L. N. , Kashirina N. M. , Skoblov Y. S. , Skoblova N. A. , Slinkin M. A. , Rybalkin I. N. , Rutkevich P. N. , Chusovitina O. K. , Yanushevskaya E. V. , Zykov K.A. , Vlasik T.N. 
Published: June 2024

Abstract

β-adrenoreceptor (ADRB) ligands are actively used in the therapy of bronchopulmonary and cardiovascular diseases. When using these drugs, it is important to assess changes in ADRB content in different tissues, ADRB1 in cardiovascular disease and ADRB2 in bronchopulmonary disease. Direct measurement of ADRB content in lung and heart cells is not possible in most cases. It was previously shown that ADRB2 content in peripheral blood lymphocytes (or mononuclear cells) is significantly correlated with that in myocardial cells. It has been suggested that blood lymphocytes can be used to monitor ADRB content in solid organs. However, estimation of ADRB1 content in myocardium from the content of this receptor in peripheral lymphocytes is not possible because of the low content of ADRB1 in lymphocytes. In the present study we performed simultaneous determination of ADRB1 and ADRB2 both in the total population of peripheral blood mononuclear cells (PBMCs) and in isolated subpopulations of monocytes, T-lymphocytes and NK-cells from 23 healthy donors using the radioligand method modified by us earlier. The highest amount of ADRB2 was detected in NK cells, followed by PBMCs, monocytes and T cells (in descending order). The content of these receptors on all blood cell subpopulations was significantly correlated with each other, suggesting the possibility of using PBMCs to monitor ADRB2 in solid organs. We first detected the presence of ADRB1 in monocytes in 43% of donors and in NK cells in 35% of donors.
Genetic causality between 731 immune cell phenotypes and chronic kidney disease in Europeans: a bidirectional Mendelian randomization study
Authors: Tang Qiao , Xu Shang , Du HaiYang , Xia Zhongyuan , Sun Qian 
Published: June 2024

Abstract

Background
Previous studies have demonstrated that various immune cell types are strongly associated with chronic kidney disease (CKD). However, the exact causal relationship is unclear.
Methods
Genome-wide association study (GWAS) summary statistics of 731 immune cell phenotypes and CKD were obtained from IEU OpenGWAS and FinnGen datasets, respectively. A bidirectional MR study was then performed to investigate the genetic causality between them using MR egger, weighted median, inverse variance weighted (IVW), simple mode and weighted mode, of which the results of IVW were considered to be the main ones. Finally, to identify whether the results of MR were reliable, sensitivity analyses were performed to detect heterogeneity and multiplicity, and a leave-one-out method was employed to check the stability. In addition, the FDR adjustment method was conducted to check the strength of genetic causality.
Results
Before FDR adjustment, 40 immune cell phenotypes were identified as genetically causative for CKD, and CKD was genetically causative for 33 immune cell phenotypes (P < 0.05). After FDR adjustment (PFDR < 0.05), two immune cell phenotypes were identified as potentially genetically causative for CKD. However, there was no statistically significant genetic causality of CKD on immune cell phenotype (PFDR > 0.05). At a looser threshold (PFDR < 0.6), CKD was identified as potentially genetically causative for five immune cell phenotypes.
Conclusion
This study explores the genetic causality between immune cells and CKD through a genetic approach, which enhances the understanding of the interactions between immune responses and CKD, thereby offering directions for future clinical research.
Antibacterial Activity of Green Synthesized Copper Oxide Nanoparticles against Multidrug-Resistant Bacteria
Authors: Khairy Toka , Amin Dina Hatem , Salama Hanaa Mohamed , Mohamed Iman , Elnakib Mostafa , Gebreel Hassan Mahmoud , Elnabi Hayam Abd 
Published: June 2024

Abstract

Using plant extracts in the green synthesis of nanoparticles has become an environmentally acceptable approach. In our study, copper oxide nanoparticles (CuO NPs) were synthesized using ethanolic extracts of Azadirachta indica and Simmondsia chinensis. CuO NP formation was confirmed by the change in color and by UV‒visible spectroscopy (CuO NPs peaked at a wavelength of 344 nm). TEM images confirmed the semispherical shape of the CuO NPs, with particle sizes ranging from 30.9 to 10.7 nm. The antibacterial activity of these NPs was evaluated by using the agar diffusion method against clinical isolates, including methicillin-resistant Staphylococcus aureus (MRSA), Escherichia coli, Pseudomonas aeruginosa, Acinetobacter spp., Klebsiella pneumoniae, and Stenotrophomonas maltophilia. The minimum inhibitory concentration (MIC) of CuO NPs ranged from 62.5 to 125 µg/ml. In contrast, the antioxidant activity and antibiofilm activity of CuO NPs ranged from 31.1 to 92.2% at 125–500 µg/ml and 62.2–95%, respectively, at 125 − 62.5 µg/ml. Our results confirmed that CuO NPs had IC50s of 383.41 ± 3.4 and 402.73 ± 1.86 at 250 µg/mL against the HBF4 cell line. Molecular docking studies with CuO NPs suggested that penicillin-binding protein 4 (PBP4) and beta-lactamase proteins (OXA-48) strongly bind to S. aureus and K. pneumoniae, respectively, with CuO NPs. Our study confirms the promising use of CuO NPs in treating pathogenic bacteria and that CuO NPs could be possible alternative antibiotics. This study supports the pharmaceutical and healthcare sectors in Egypt and worldwide.
Structural visualization analysis applied to the preservation of architectural heritage: the case of stilted houses in southwest China
Authors: Qian Cheng , Wang Tong , Yu Sihan 
Published: June 2024

Abstract

Architectural cultural heritage is critical to preserving global cultural and historical diversity. Despite China's abundance and distinctive architectural heritage resources, current approaches to analysis and preservation predominantly depend on traditional two-dimensional drawings and documents. These methods exhibit notable deficiencies in terms of accuracy, comprehensive restoration, and preservation. The vulnerability of these cultural heritages is further increased by inconvenient transportation and frequent natural disasters like earthquakes and landslides, placing more demands on preservation and restoration efforts, especially in Southwest China's hilly regions. In addition, the wide and dispersed distribution of buildings in this region adds another layer of complexity to the heritage protection process.This study focuses on the stilted houses, which are very typical of the Southwest. A comprehensive analysis was completed by classifying their structural types, performing geometric modeling, and combining real photos, exact dimensions, and material attributes. Five models were subjected to both dynamic and static analysis, as well as buckling, utilization rate, and ultimate state assessments. The data were displayed in a way that made it evident which structural forms had advantages and disadvantages, as well as which structural irrationality was present. Based on these findings, this study developed targeted architectural heritage protection techniques that were assessed using structural evaluations. These initiatives offer fresh approaches and insights into the preservation of architectural heritage.
Biological and Residual Activity of Candidate Larvicide Formulation, SumiLarv TM 2MR, against an Exotic Invasive Mosquito Anopheles stephensi Liston in Ethiopia
Authors: Yehwalaw Delenasaw , Erena Ebisa , Degefa Teshome , Zemene Endalew , Simma Eba A. , Kifle Yehenew G. 
Published: June 2024

Abstract

The study assessed the efficacy and residual activity of SumiLarv™ 2MR, SumiLarv™ 0.5G, and Abate®1SG (as a positive control) against Anopheles stephensi larvae in Awash Subath Kilo, Afar Regional State, Ethiopia. A semi-field experiment used plastic containers with capacities of 100L, 250L, and 500L. For SumiLarv 2MR, four 100L containers were treated with one disc each, compared to two untreated controls. Similarly, four 250L containers were treated with one disc each with two untreated controls. Eight 250L containers were treated with a half-dose to match one disc per 500L, alongside four untreated controls. For SumiLarv 0.5G and Abate 1SG, four 100L containers were treated with each larvicide, with two untreated controls. Each container received 20–25 third and fourth instar An. stephensi larvae. Observations of adult emergence were conducted until all pupae either emerged or died. The result revealed that SumiLarv 2MR had a nine-month residual efficacy, SumiLarv 0.5G had a seven-week efficacy, and Abate 1SG had a five-week efficacy. SumiLarv 2MR discs retained nearly 50% of their initial pyriproxyfen content after nine months, indicating potential for extended residual activity. The study highlights SumiLarv 2MR's long-term efficacy as a larvicide against An. stephensi in Ethiopia.
Dual focus of Technology Acceptance and TechnologyResistant Model: Deep Learning Approach
Authors: S Subhashini L D C , Sachithra Vilani , U.S. Samarasinghe 
Published: June 2024

Abstract

Digital health care is becoming increasingly important, and the possibilities and chances of digital health care for elderly people are particularly high.There is a substantial part of the elderly population that does not use theinformation technology, which is a precondition for using digital health careservices. In this piece, elderly person’s acceptance to use and resistant to useof such technologies remain an open-ended research problem. The study aimsto develop an integrated model based on a human-centric perspective, sociotechnical characteristics, and aging specific constructs to offer a more accurateindulgent of consumer acceptance or resistance of technology in the aspect ofelderly context. The study integrated Theory of Planned Behavior, Status quobias, Equity-implementation model and Unified Theory of Acceptance and Useof Technology2 model to come up with a dual phenomenon conceptual modelof technology acceptance and resistance. Two-phased multi-analytical models were used. The scope of the study included older adults (people aged 65years or older) in Sri Lanka. The multiple regression analysis and Model 4 ofthe PROCESS macro results revealed that human centric, socio technical andaging specific factors significantly influence on elders to use technology; interestedly, human-centric factors negatively influenced. Moreover, socio-technicalfactor was not a significant predictor in elders’ resistant to use technology. The mediating analysis results showed that propensity related to technology was asignificant mediator on the relationships between Human centric and Technology use; Aging specific and Technology use; Human centric and Resist usingtechnology; and Aging specific and Resist using technology. Thereafter, thedata is trained and tested using a deep learning approach. The model can performed F-measure of 72.85% for predicting technology acceptance or rejection.Technology has been advancing at a faster speed than we have ever imagined.Understanding personal variables such as human-centric and aging specific thataffect the adaptation and resistant process in technology provides valuable information for developers and social planners in the design and execution oftechnology for the elder community
Numerical study on instability of rock structural planes induced by stress disturbances
Authors: Hu Minghui , Liu Richeng , Li Shuchen , Yuan Chao , Feng Xianda 
Published: June 2024

Abstract

The activities in deep underground engineering may induce variations in the stress state of the rock, increasing the risk of engineering disasters. The decrease in normal stress σn and the increase in shear stress τs are considered as important causes for activation of rock structural planes to induce rockburst, earthquake and other disasters. In this study, numerical simulations are performed to reveal the influences of different stress paths on the dynamic slip mechanism of rock structural planes. The results show that the rock structural plane loaded to the near-critical failure state enters a slow slip state as the stress varies, and the frictional strength decreases with the exponentially increasing shear displacement ds, eventually resulting in dynamic slip. The displacement-driven mode overestimates the friction parameters µ by up to 14.5% compared with the stress-driven mode. The slow slip continuously weakens the ability of the structural plane to tolerate stress variation. The continuity and discontinuity of stress variation on structural plane affect the strengthening mode of µ. The stepwise stress path causes the stress on the structural plane to change dramatically, and may either cause the structural plane return to a slow-slip state or activate the structural plane to dynamic slip. Compared with the variation stress in σn, the variation stress in τs is more sensitive to triggering dynamic slip. The ds before dynamic slip is an important reference for evaluating the extent to tolerate stress variation. With increasing ds from 0.68 mm to 1.26 mm, the τs required to trigger dynamic slip decreases from 1.67 MPa to 1.49 MPa, suggesting that the ability of structural planes to tolerate stress variation is reduced.
Sentiment Analysis for Social Media Presence
Authors: Saya Sashank , Malawade Shreelaxmi K , Krishna Smaranya Vijaya , S Vaishnavi K , B Shylaja 
Published: June 2024

Abstract

This Flask - React application offers a versatile platform for sentiment analysis on both text and image data. It includes functionalities for batch text sentiment prediction, single text input analysis, and image sentiment prediction with generated captions. Leveraging machine learning and deep learning techniques, the app provides insights into sentiment distribution, catering to diverse use cases such as social media monitoring and content moderation. Through this project, we provide real – time solutions for the analysis of comments and images with the use of a Gradient Boosting Classifier and the VGG16 convolutional model with an accuracy of 82% when compared with the output of the sentiment module itself present in TextBlob.
The role of CCT5 in human tumors: a pan-cancer analysis
Authors: Ahmed Md. Zabir , Billah Md Mohtasim , Ferdous Jannatul , Antar Shoriful Islam , Mamun Abdullah Al , Hossain Md. Jubayer 
Published: June 2024

Abstract

CCT5, a molecular chaperone protein, was analyzed in 33 different tumor types by pan-cancer analysis. This study investigated various aspects such as gene expression, proteomic expression, immune infiltration, DNA methylation, genetic alterations, survival, enrichment analysis, and prognostic significance. The results showed that CCT5 is highly expressed in most tumors, and its overexpression is associated with poor overall and disease-free survival, as well as poor prognosis in different tumor types. Immune infiltration analysis revealed a correlation between CCT5, cancer-associated fibroblasts (CAFs), CD8 + T cells, and NK cells, and the prognosis of patients with different tumor types was significantly correlated with the expression of these three tumor-infiltrating immune cells. This study suggested that CCT5 regulates the number of tumor-infiltrating immune cells, thereby affecting the prognosis of these tumors. Enrichment analysis revealed the association of CCT5 with cell cycle and RNA-binding pathways. CCT5 is highly expressed in tumors, with reduced promoter and N-shore methylation, indicating its potential oncogenic and epigenetic roles. These findings suggest that CCT5 may serve as a potential prognostic biomarker and target for immunotherapy in cancer cell proliferation and development.
Trends in distribution of harm-reducing equipment for people who inject drugs in Norway, 2016-2022. A nationwide data collection
Authors: Skogen Jens Christoffer , Gottschlich Katharina Natalie , Blindheim Martin , Årstad Janne 
Published: June 2024

Abstract

Harm-reducing strategies are interventions designed to mitigate the adverse effects of substance use when abstinence is not a feasible option. Evidence supports the effectiveness and efficacy of harm reduction as a broad framework for addressing illicit drug use. To ensure the implementation of these measures, Alcohol and Drug Research Western Norway was mandated by the Norwegian Directorate of Health in 2016 to annually assess municipalities' adherence to harm-reduction guidelines. This study aims to present national trends in the distribution of harm-reducing equipment in Norway from 2016 to 2022. Specifically, we investigated the proportion of distributing municipalities, additional equipment distributed, and the population coverage. Our findings indicate an increased coverage in the distribution of harm-reducing equipment in Norway between 2016 and 2022. This positive trend demonstrates progress in addressing the negative consequences of drug use and aligns with Norwegian national strategies to mitigate drug-related harms. Future research should evaluate the effectiveness of these harm-reduction strategies and identify areas for improvement within the Norwegian context, especially related to use of opioid analgesics.
Multi-omics analysis of severe fever with thrombocytopenia syndrome virus infection in Rhipicephalus microplus cells reveals antiviral tick factors.
Authors: Petit Marine , Flory Charlotte , Gu Quan , Fares Mazigh , Davies Kelsey , Score Alan , Lamont Douglas , Sakyi Lesley Bell- , Scaturro Pietro , Brennan Benjamin , Kohl Alain 
Published: June 2024

Abstract

The increasing prevalence of tick-borne arboviral infections worldwide necessitates advanced control strategies, particularly those targeting vectors, to mitigate the disease burden. However, the cellular interactions between arboviruses and ticks, especially for negative-strand RNA viruses, remain largely unexplored. Here, we employed a proteomics informed by transcriptomics approach to elucidate the cellular response of the Rhipicephalus microplus-derived BME/CTVM6 cell line to severe fever with thrombocytopenia syndrome virus (SFTSV) infection. We generated the first de novo transcriptomes and proteomes of SFTSV- and mock-infected tick cells, identifying key host responses and regulatory pathways. Additionally, interactome analysis of the viral nucleoprotein (N) integrated host responses with viral replication mechanisms. Finally, our dsRNA-mediated gene silencing screen revealed two novel anti-SFTSV effectors, the RNA helicases, DHX9 and UPF1. Collectively, our results provide new insights into the antiviral responses of Rhipicephalus microplus vector cells and highlight critical SFTSV restriction factors, while enriching transcriptomic and proteomic resources for future research.
Multilocus sequencing analysis of the rhizobial symbionts isolated from Acacia salicina (Lindl.) grown in different regions in Tunisia reveals novel Bradyrhizobium species
Authors: Rejili Mokhtar , Bouznif Besma , Benabderrahim Mohamed Ali , Mars Mohamed 
Published: June 2024

Abstract

In this study, we investigated various chromosomal and symbiotic markers in 40 bacterial strains that nodulating an invasive alien Acacia salicina Lindl. In Tunisia never described worldwide. Our findings showed that the native rhizobia in Tunisia associated to A. salicina are grouped into eight distinct RAPD electrophoretic types (RETs) (genotypes). Sequence analyses of rrs and three housekeeping genes (recA, rpoB and glnII) assigned sixteen isolates to three putative new lineages within Bradyrhizobium genus. Seven strains were clustered with B. rifense CTAW71T with low bootstrap support (91%), five strains were grouped with B. niftali CNPSo3448T with a very low bootstrap support (60%), and four strains occupied a separate position between B. shewense ERR11T and B. centrosematis A9T. All strains were not able to grow at 37°C, pH 12 and more than 0.5% NaCl and showed a different response to different antibiotics, with no growth in presence of Gentamicin. Based on nodC phylogeny and cross inoculation tests, these 16 strains are clustered within the two symbiovar retamae (six strains) and cyanophyllae (ten strains). According to the symbiotic gene sequence and the nodulation phenotype with A. salicina and A. saligna, the reference strain B. diversitatis CNPSo4019T would be, interestingly, considered for the first time as a new member of the symbiovar cyanophyllae.