bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of functional genes in liver fibrosis based on bioinformatics analysis of a lncRNA-mediated ceRNA network
Authors: XIAO MEIFANG , ZHANG FENG , PEI SIYA 
Published: June 2023

Abstract
Background: Liver fibrosis is a major global health problem; nevertheless, its molecular mechanisms are not completely clear. This study aimed to build a lncRNA-miRNA-mRNA network, identify potentially related lncRNAs, and explore the pathogenesis of liver fibrosis.
Materials and methods: We used the Gene Expression Omnibus databases and bioinformatics analysis to identify differentially expressed genes (DEGs) between liver fibrosis and normal tissues. The ceRNA network was constructed according to the interactions between DElncRNA, miRNA, and DEmRNA. Then, these DEGs were identified using functional enrichment analysis, and a protein-protein interaction (PPI) network was established. The critical lncRNAs were verified using the quantitative real-time polymerase chain reaction (qRT-PCR).
Results: The ceRNA network was composed of three lncRNAs, five miRNAs, and 93 mRNAs. Gene Ontology functional enrichment analysis revealed significant enhancement in cell components, molecular function, and biological process. Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed pathways associated with transcriptional misregulation in cancer, including the Rap1 signaling pathway, proteoglycans in cancer, mineral absorption, HTLV-l infection, and central carbon metabolism in cancer. According to the PPI network and the GSE84044 database, seven hub genes associated with liver fibrosis were identified. In addition, qRT-PCR revealed that lncRNA AC100861 (lncRNA TNFRSF10A-DT) was explicitly decreased in liver fibrosis tissues and activated hepatic stellate cells.
Conclusions: In summary, this study preliminarily found that lncRNA TNFRSF10A-DT may be a biomarker for the diagnosis and outcome of liver fibrosis. We uncovered a novel lncRNA-mediated ceRNA regulatory mechanism in the pathogenesis of liver fibrosis.
Risk factors for inadequate bowel preparation
Authors: Sair Asmae , Mrabti Samir , Benhamdane Ahlame , Berrida Reda , Sara Sentissi , Rouibaa Fedoua , Benkirane Ahmed , Seddik Hassan 
Published: June 2023

Abstract
Objectives
The effectiveness of colonoscopy depends on the quality of the examination. Inadequate bowel preparation is associated with a longer and more difficult procedure, missed pathologic lesions, and risk of complications. The predictive factors for poor bowel preparation are not well defined. The objective of our study was to determine the predictive factors of poor bowel preparation.
Methods
This is a retrospective, descriptive and analytical study of patients who underwent colonoscopy over a period of 3 years. Patients with known inflammatory bowel disease (IBD) were excluded from our study.
Poor bowel preparation was defined by a Boston score of less than or equal to 5. Statistical analysis was performed by SPSS21.0 software.
Results
Among 1143 colonoscopies performed, 39.2% had a poor preparation.
After univariate analysis, the predictive factors for poor preparation were: male sex, age greater than 70 years, the presence of constipation, patients with colonic diverticulosis or colorectal process.
After multivariate analysis, only age greater than 70 years [OR=1.8; p=0.038], constipation [OR=2.3; p=0.003] and the presence of colonic diverticulosis [OR=4.1; p<0.001] were statistically significantly associated with poor preparation.
Conclusion
The rate of poor bowel preparation remains high, and the factors that seem to be associated with it are age over 70 years, the presence of constipation and patients with colonic diverticulosis.
Association mapping of important agronomic traits in Mucuna pruriens (L.) DC.
Authors: Lepcha Patrush , S Mahesh , M Leelambika , Jaheer Mahammad , Chopra Ratan , Belamkar Vikas , Sathyanarayana N 
Published: June 2023

Abstract
The Mucuna pruriens (L.) DC. can meet three burgeoning needs of tropical agriculture: low-cost protein source, high-value medicinal plant, and an excellent green manure cover crop. But like other underutilized crops, it lacks modern breeding resources. Identifying marker-trait associations (MTAs) can prompt marker-assisted breeding paving a way for development of the improved varieties. Recent studies have demonstrated feasibility of identifying MTAs using a small number of accessions (<100) triggering the hope for resource poor crops. Taking cues from there, we characterized a panel of 70 M. pruriens accessions across two consecutive years and performed association analysis for 16 phenotypic traits using 66 genic-microsatellite markers. The results showed significant phenotypic (P < 0.05) and genetic diversity (Shannon’s information index, I = 0.62) in our germplasm collection. Many of the tested traits were highly heritable (42.86% to 99.93%). A total of 15 MTAs were detected at an adjusted significance level of P < 5.55 × 10-3 for nine economic traits such as – seed length, seed thickness, seed width, hundred seed weight, seed yield per plant, inflorescence length, flower buds per inflorescence, flower length, and petiole length with phenotypic variance explained (PVE) ranging from 14.72 to 31.12%. Their annotation using the Arabidopsis genome database affirmed reliability of our MTAs. This is the first report on association mapping in M. pruriens and results are expected to galvanize marker-assisted breeding as well as mining of candidate genes in this promising legume.
Label-free quantitative proteomic analysis of the cotton (Gossypium hirsutum L.) genotypes with contrasting resistance to leafhopper (Amrasca biguttula biguttula (Ishida) resistance
Authors: Alagarsamy Manivannan , Amal Thomas Cheeran , Karuppan Shankarganesh 
Published: June 2023

Abstract
The authors have requested that this preprint be removed from Research Square.
The Invasive Weed Trianthema portulacastrum in Israel
Authors: Goldwasser Yaakov , Rabinowitz Onn , Achdary Guy , Kapiluto Omer , Abu-Nasser Jackline , Smirnov Evgeny , Eizenberg Hanan 
Published: June 2023

Abstract
The authors have requested that this preprint be removed from Research Square.
A snapshot of socio-demographics and utilization of maternal health services by pregnant women living in urban slum settings in India: A baseline data representation
Authors: Shrivastava Rahul , Singhal Manmohan , Mishra Nivedita , Kashyap Neeraj Kumar , Joshi Ashish , Srivast Pragati 
Published: June 2023

Abstract
Utilization of maternal health care services significantly influences maternal mortality rate. Although several studies are looking into demographic and socioeconomic factors and inequality in distribution and proper utilization of these services between rural and urban communities, there is a paucity of studies focusing on urban slums. This cross-sectional survey aims to examine the trends and determinants of utilization of maternal healthcare services during antenatal period in urban slums including assessment of fertility, family planning practices, dietary practices, quality of health, and impact of COVID on pregnancy, which was conducted in four urban slums of South Delhi, between April and June 2022 amongst pregnant women (aged 18-44 years). Data were collected from 250 currently pregnant women visiting the Anganwadi centers. The detailed methodology was adopted from the published study protocol. The data was collected electronically using SOMAARTH (developed by The INCLEN Trust International – IN) on an android-based platform, and the tools adopted from National Family Health Survey-5. The results revealed that out of 250 women, 98% were less than 40 years of age, and 169 (67%) were less than 28 years of age. About 93% of the sample population were educated and 234 (93%) were homemakers while the remaining engaged in various occupations. Of the 250 women, 54% had borne children, and 82% of them had a single child. While all the respondents knew about antenatal services, only 2.8% had a high level and the majority (78%) had a medium level of knowledge. Only 47% of women had exposure to media while 51% adopted some form of family planning practices. Of all the women who received antenatal care (ANC), 98%, 97%, and 94% had received iron and folic acid, tetanus toxoid, and ultrasound examination, respectively during the present pregnancy. Only 2 (15.4%) women had COVID exposure during pregnancy. This preliminary study indicates that exposure to media and adoption of family planning continues to be low. However, a majority knew ANC, and all had accessed the ANC services. Therefore, comprehensive strategies need to be planned to ameliorate women’s education and awareness about the importance of ANC and postnatal care. Also, public health infrastructure needs to be strengthened to improve the utilization of maternal services.
Influence of RF Power on Wettability, Morphology and Bacterial Adhesion Properties of Oxygen Plasma Treated Silicone Catheter Surfaces
Authors: Dave Purvi , Balasubramanian C , Hans Sukriti , Rathore Vikas , Nema S. K. 
Published: June 2023

Abstract
Catheterized patients often develop a secondary infection in their body due to bacterial adhesion and growth taking place on catheter surfaces. Nanoscale surface modification can alter the bacterial adhesion pattern on the catheter surface. In the present work, we have studied the interaction of oxygen plasma with silicone catheter surfaces from the perspective of variance in RF Power to induce physicochemical surface modification to reduce bacterial adhesion. Silicone catheter surfaces have been treated in low-pressure CCP-RF (Capacitively Coupled Radio Frequency) oxygen plasma at different RF powers in the range of 25 - 150 W. Obtained results convey that with an increase in RF power, the population of atomic oxygen species becomes dominant among other species. Morphological features are found to grow more significantly in amplitude as a function of RF power. Substantial oxidation of the silicone surface is observed in the form of a polar component of surface energy. Oxygen plasma-treated catheter surfaces have exhibited a gradual reduction in E-coli bacterial cell adhesion as a function of RF power with a minimum adhesion of £1%. The shelf life of plasma-induced hydrophilicity on the catheter surface has been evaluated under different storage environments like ambient air, water, artificial urine solution, and modified atmosphere packaging. This study concludes that variance in RF power is a major controlling factor for bacterial adhesion on silicone catheter surface due to the evolution of amplitude morphological parameters keeping space morphological parameters nearly unaffected in contrast to earlier reported studies of variance in plasma exposure time[1].
Synthesis of some sulfonamide derivatives coupled with salicylamide or anisamide scaffold as potent PD-L1 inhibitors and their anti-proliferation assay
Authors: Abdelazeem Nagwa M. , Alwahsh Mohammad , galal alaaeldin M.F. , Talhouni Shahd , Hamadneh Lama , Hanna Atef G. 
Published: June 2023

Abstract
The present study explores the potential of the new sulfonamide derivatives coupled with salicylamide or anisamide scaffold as immune checkpoint PD-L1 inhibitors. Based on in silico virtual screening 32 derivatives were synthesized and tested in vitro as PD-L1 inhibitors using screening ELISA assay. Five compounds gave promised results with more than 50% inhibition. The most active, with activity 57.152%, was 5-Chloro-N-(4-(N-(3-fluorophenyl)sulfamoyl)phenethyl)salicylamide (30). The other compounds were 5-Chloro-2-methoxy-N-(4-(N-(4-fluorophenyl)sulfamoyl)benzyl)benzamide (4, 53.327%), 5-Chloro-2-methoxy-N-(4-(N-(4-methylphenyl)sulfamoyl)phenethyl)benzamide (17, 51.253%), 5-Chloro-N-(4-(N-(4-(trifluoromethyl)phenyl)sulfamoyl)phenethyl)salicylamide (31, 51.058%) and 5-Chloro-2-methoxy-N-(4-(N-(2,4-difluorophenyl)sulfamoyl)benzyl)benzamide (7, 50.993). All compounds were found to be safe and have no cytotoxic effect against the fibroblast cell lines. Moreover, compound 4, 7, 17, and 30 should no or little anti-proliferative activity against the cell lines use in this study except compound 4, which have anti-proliferative activity against PC-3 (66.640%). On the other hand, compound 31 should remark activities against the cell lines MCF7, DU-145, and PC-3. In general, human prostate cancer cell line PC-3 is highly sensitive towards some of the 32 compounds tested at 10 μmol. The molecular docking study and ADMET (absorption, distribution, metabolism, excretion, and toxicity) analysis of the bioactive compounds were used to elucidate the mode-of-action mechanism.
Cutaneous and systemic adverse effect of topical corticosteroids misuse on glucocorticoid dependent women in Iraq.
Authors: Sagban Teeba , Jaccob Ausama , yaqoub abdulla , Khadim Huda 
Published: June 2023

Abstract

Topical corticosteroids (TCS) are the most widely prescribed and abused topical medications worldwide. TCs have melanogenic, anti-pruritic, atrophogenic, immunosuppressive effects on the epidermis and sex-hormone-like, in addition to anti-inflammatory activity. Several of these, if used without judgment, may have serious local and systemic negative repercussions. The current study was designed to evaluate the possible local and systemic effects of topical corticosteroid misuse among women in Basrah City, Iraq. Totally 125 participants were categorized into three major groups: control individuals, patients who utilize TCs for 1–3 months, and patients with long-term TC use for more than 3 months. A questionnaire was filled out, and a full skin examination was performed by a special dermatologist. Blood was drawn for hematological, hormonal, and biochemical analysis. TCS abuse was linked to the development of skin conditions with various percentages and frequencies, such as erythema, photosensitivity, dryness, acne, atrophy, infections, pigmentation, hirsutism, and rosacea. TCs also have systemic adverse effects in addition to their cutaneous ones, especially with prolonged use. TCS elevates RBC and HGB levels significantly compared to control and also prolongs bleeding time. Long-term TCS suppresses ACTH and decreases cortisol concentrations significantly while having no effect on insulin or testosterone levels. Interestingly, TCS significantly reduced serum vitamin D and serum interleukin 6 compared to the normal control group. TCS misuse is a big disaster in Iraq, associated with huge skin impacts and systemic deterioration, including hormonal and hematological consequences that require medical intervention and educational and legal approaches for successful treatment.
miR-31-mediated local translation at the mitotic spindle is important for early development
Authors: Remsburg Carolyn , Konrad Kalin , Stepicheva Nadezda , Testa Michael , Lee Kelvin , Choe Leila , Polson Shawn , Bhavsar Jaysheel , Huang Hongzhan , Song Jia 
Published: June 2023

Abstract
miR-31 is a highly conserved microRNA that plays critical roles in cell proliferation, migration, and differentiation. We discovered miR-31 and some of its validated targets are enriched on the mitotic spindle of the dividing sea urchin embryo and mammalian cells. Using the sea urchin embryo, we found that miR-31 inhibition led to developmental delay correlated with increased cytoskeleton and chromosomal defects. We identified miR-31 to directly suppress several actin remodeling transcripts, β-actin, Gelsolin, Rab35 and Fascin, which were localized to the mitotic spindle. miR-31 inhibition leads to increased newly translated Fascin at the spindles. Forced ectopic localization of Fascin transcripts to the cell membrane and translation led to significant developmental and chromosomal segregation defects, leading to our hypothesis that miR-31 regulates local translation at the mitotic spindle to ensure proper cell division. Furthermore, miR-31-mediated post-transcriptional regulation at the mitotic spindle may be an evolutionarily conserved regulatory paradigm of mitosis.
Arthropods, nematodes, fungi, and bacteria associated with penguin carrion in Barton Peninsula, King George Island, Antarctica
Authors: ZAINI NUR ADILLA , Low Van Lun , Gebrelassie Selam Solomon , Ismail Siti Sofo , Mahmud Mohd Hafizi , Houssaini Jamal , Lee Won Young , Tomberlin Jeffery K. , Heo Chong Chin 
Published: June 2023

Abstract

Carrion decomposition contributes to the soil microbial community structure. This research aimed to identify the soil arthropod, nematode, bacterial, and fungal communities associated with penguin carrion on King George Island, Antarctica. Soil samples were collected around and beneath fresh (freshly killed penguins by the predators) and dried (decomposed more than a year) penguin carrion. Soil bacterial and fungal communities associated with the penguin carrion were analyzed using the 16S rRNA Illumina MiSeq sequencing. Arthropod identification was using Sanger sequencing and nematodes were determined using morphological identification. This study demonstrated that there are no significant differences in arthropod and nematode (p = 0.415), bacteria (p = 0.386), and fungi (p = 0.635) communities between decomposition stages, soil location, and species of penguin carrion. This is the first study to identify soil arthropods, nematodes, bacterial, and fungal communities associated with penguin carrion, offering important insights into the initial documentation of the necrobiome communities in the polar region.
On Tangent Bundles of Walker 4-mani̇folds
Authors: ÇAYIR Haşim , GÜLER Erkan 
Published: June 2023

Abstract
Our goal is to study the complete lifts of almost Norden structures on tangent bundles of Walker 4-Manifolds. In addition investigate the integrability conditions of the complete lifts φC of the proper almost complex structure and to and the conditions of isotrapic Kähler-Norden of the structure φC on (T(M4), φC, gC).
Real Time Recognition of ISL by Time Distributed CNN model using ISL video dataset
Authors: Renjith S , Manazhy Rashmi 
Published: June 2023

Abstract
The deaf community in India frequently communicates using Indian Sign Language (ISL). In order to provide successful communication and accessibility for the deaf community, precise recognition of Indian Sign Language (ISL) is essential in real-time communication. ISL is a real-time language, which makes it difficult to identify and interpret signs in video clips. We propose a unique method for real-time ISL recognition utilizing a Time Distributed Convolutional Neural Network (CNN) model to address this issue. Our approach makes use of an a substantial ISL video dataset that includes a variety of sign gestures and motions. By separately applying CNN filters to each frame of the video sequence, the Time Distributed CNN architecture enables temporal modeling. Our model is capable of accurately identifying and interpreting ISL indicators in real-time settings by extracting spatial information from individual frames and taking into account their temporal connections. Our Time Distributed CNN model obtains a significant accuracy of 89\% on the ISL recognition after extensive testing and evaluation. This encouraging outcome indicates the capability of our method to precisely recognize and decipher signs in real-time ISL video streams.
Composts from bovine rumen and chicken litter improve soil fertility and promote the growth of pepper (Capsicum chinense Jacq.)
Authors: Barbosa Larissa Macelle de Paulo , Santos Tayanne de Paula da Silva , Rocha Sandra Mara Barbosa , Santos Theuldes Oldenrique da Silva , Oliveira Louise Melo de Souza , Neto Francisco de Alcântara , de Araújo Ademir Sérgio Ferreira , de Souza Henrique Antunes , Nunes Luís Alfredo Pinheiro Leal , de Sousa Ricardo Silva 
Published: June 2023

Abstract

Organic waste from agricultural activities has the potential for reuse when treated and applied to the soil as organic fertilizers. This study investigated the effects of composted bovine ruminal content (CBR) and composted chicken litter (CCL) on the soil attributes, growth, and nutrition of Capsicum chinense Jacq. plants. The experiment was conducted at the Federal University of Piauí, Teresina, using a randomized block design with four replications in a 3⨯2 + 2 factorial scheme. Treatments included doses of 30, 60, and 90 Mg ha-1 of CBR and CCL and two additional treatments (mineral fertilization, NPK; unfertilized soil, CK). The monitored variables included soil biological and chemical attributes, plant nutritional status, biometry, and dry matter. Results indicate that organic compost has the potential to improve soil attributes, such as pH, organic carbon, nitrogen, phosphorus, potassium, calcium, sodium, microbial biomass carbon, and soil respiration. Moreover, plant variables were positively affected by CBR and CCL, with a linear increase in response to CBR and a quadratic increase due to CCL. Nutrient concentrations in the leaves increased with compost application, except for iron. Therefore, CBR and CCL have the potential to improve soil chemical and microbiological attributes as well as support the development and nutritional status of Capsicum chinense Jacq. plants, suggesting that the use of organic waste as a fertilizer is a sustainable cultivation strategy.
Near real-time hybrid dehazing based on the estimation of air light with deep learning
Authors: ÇİMTAY Yücel 
Published: June 2023

Abstract
Haze which can be created by natural or synthetic factors, degrades the visual quality and human sight distance. Visible objects become scarcely visible or invisible. The physics of the degrading function due to haze has been modelled by Atmospheric Light Scattering (ALS) Model. Therefore, from a single hazy image, by using proper methods, it is possible to recover the original scene. In dehazing methods which solve the ALS function, there are basically two steps. First one is the estimation of the air light present at the time of the image capturing and the second step is the estimation of transmission of the corresponding scene. One of the most effective method which is used for air light estimation is QuadTree decomposition. For this method, tests show that the most amount of the dehazing time is consumed to estimate the air light. For the case of High Definition (HD) imagery, the estimation of air light consumes huge time. Therefore, it cannot be possible to achieve a real time or near real time dehazing on traditional hardware. In this study, a novel convolutional neural network model is developed to estimate the air light directly from the hazy image quickly. The estimated air light then can be used with Atmospheric Light Scattering model to handle the recovered image. Results show that the time cost is reduced by 56.0% and 65% for image resolutions of (640x480) and (1920x1080) compared to the QuadTree Decomposition method used in ALS based dehazing methods, without losing the visual quality of the dehazed image.