bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anabolic Steroid Abuse is Associated With a Dysfunction of the Autonomic System
Authors: Júnior Jefferson Fernando Coelho Rodrigues , Mostarda Cristiano Teixeira , Urtado Christiano Bertoldo , Santos Sarah Cristina do Rego , de Oliveira Augusto Ribeiro , Cabido Christian Emmanuel Torres , Amorim Carlos Eduardo Neves , Junior Mario Norberto Sevilio de Oliveira 
Published: May 2024

Abstract

The purpose of this study was to evaluate whether AAS abuse can induce cardiac autonomic dysfunction in trained individuals after a session. Employing a quasi-experimental design, 17 healthy men were divided into two groups: users of AAS (N-7), who reported self-administration for at least two years and non-users of AAS (N-10). All subjects performed an acute strength-training session consisting of three sets of 10 repetitions at 70% of 1RM for four exercises (bench press, leg press, rowing and leg extension), with an inter set rest interval of 60 seconds. HRV measurements were taken before and during a 60-minute post-exercise recovery period. Results showed that AAS users had lower values for standard deviation of the NN intervals and root mean squared successive differences when compared to the non-AAS users before the resistance exercise. However immediately after the resistance training, all indexes in the time domain, non-linear and symbolic analysis were similar between AAS and NAAS. We conclude that the use of AAS is consistent with a dysfunction of the autonomic system, resulting in an increase of the sympathetic component and a corresponding decrease of the parasympathetic component.
Unique among high passes: Phylogenetic inferences from DNA barcoding of the butterfly fauna of Ladakh Trans-Himalaya, India
Authors: Ali Mohd , Dey Rushati , Das Moumita , Kumar Vikas , Chandra Kailash , Uniyal Virendra Prasad , Gupta Sandeep Kumar 
Published: May 2024

Abstract

The butterfly assemblage of Ladakh Trans-Himalaya demands a thorough analysis of their population genetic structure owing to their typical biogeographic affinity and their adaptability to extreme cold-desert climates. No such effort has been taken till date, and in this backdrop, we created a barcode reference library of 60 specimens representing 23 species. Barcodes were generated from freshly collected leg samples using the Sanger sequencing method, followed by phylogenetic clade analyses and divergence calculation. Our data represents 22% of Ladakh’s Rhopaloceran fauna with the novel barcode submission for six species, including one Schedule II species, Paralasa mani. Contrary to the 3% threshold rule, the interspecific divergence between two species pairs of typical mountain genus Hyponephele and Karanasa was found to be 2.3% and 2.2%, respectively. The addition of conspecific global barcodes revealed that most species showed little increase in divergence value, while a two-fold increase was noted in a few species. Bayesian clade clustering outcomes largely aligned with current morphological classifications, forming monophyletic clades of conspecific barcodes, with only minor exceptions observed for the taxonomically complicated genus Polyommatus and misidentified records of Aulocera in the database. We also observed variations within the same phylogenetic clades forming nested lineages, which may be attributed to the taxonomic intricacies present at the subspecies level globally, mostly among Eurasian species. Overall, our effort not only substantiated the effectiveness of DNA Barcoding for the identification and conservation of this climatically vulnerable assemblage but also highlighted the significance of deciphering the unique genetic composition among this geographically isolated population of Ladakh butterflies.
Development of die drawing design factor prediction models for trenchless rehabilitation of water pipes: a case study
Authors: Oh Yoojin , Park Haekeum , Kim Kibum , Kim Taehyeon , Hyung Jinseok , Koo Jayong 
Published: May 2024

ABSTRACT

Maintenance and replacement of aging water pipes are critical for urban development. To this end, trenchless rehabilitation methods that do not require excavation offer an efficient replacement for aging water pipes. Thus, this study developed a trenchless method using die drawing, which continuously inserts polyethylene (PE) liners into the reach point while maintaining traction in the host aging pipe. If the traction is removed after a certain period, the initially contracted liner pipe undergoes expansion under natural restoration and tightly adheres to the inner wall of the host pipe to achieve structural regeneration of the aging pipe. This study aimed to determine the factors influencing the die drawing process using a rehabilitation design. Accordingly, we experimented with the die drawing method to achieve structural reinforcement using high elasticity PE liners. Thereafter, based on the experimental data, we developed prediction models to estimate traction, pipe restoration rate after traction release, and pipe restoration period. The developed models estimated the minimum required restoration period and provided deeper insights into the restoration behavior of the die drawing method employed in pre-equipment maintenance before on-site construction.
Comparison of bias correction methods to regional climate model simulations for climate change projection in Muger Subbasin, Upper Blue Nile Basin, Ethiopia
Authors: Dinku Manamno Beza , Gibre Alene Moshe 
Published: May 2024

ABSTRACT

The objective of this study was to evaluate the best performed bias correction methods to simulate the regional climate models for future climate change projections in Muger Subbasin. Delta change methods perform very well with a coefficient of correlation of 0.99 and a percent of bias –3. When we compare its corrected simulation result with observed data, the delta change method seems to have with no biases for maximum temperature, but increases by 1.67 °C from the mean for minimum temperature of 0.39 and 38.41 mm for monthly and annual precipitation, respectively. Delta change methods underestimate the model result for both temperature and precipitation. Linear scaling and variance scaling methods overestimate the maximum temperature of the simulation by 0.002 and 0.004 °C from the mean of the observed data, but it underestimates 1.59 and 1.56 °C the minimum temperature, respectively. The long-term temperature projection values (2060–2090) are higher than the near-term projections (2030–2060) for both RCP2.6 and RCP8.5 scenarios. Similarly, the change in annual precipitation for the long-term is higher than the near-term projections. As a conclusion, the results draw attention to the fact that bias-adjusted regional climate models data are crucial for the provision of local climate change impact studies in the Muger Subbasin.
Impact of leachate on groundwater quality using physicochemical characteristics
Authors: Weju Tarekegn Tadesse , Getaneh Zerihun 
Published: May 2024

ABSTRACT

This study assesses the impact of Koshe open dump site leachate on nearby groundwater quality. Groundwater quality is threatened by open dump sites. Groundwater samples around Koshe open dump sites showed elevated levels of various physicochemical characteristics, including Electrical conductivity (EC), Potassium (K), Iron (Fe), Chromium (Cr3), Lead (Pb), Mercury (Hg), Total Alkalinity, Nitrate (NO3−), Phosphate (PO4+), Cadmium (Cd), Bicarbonates (HCO3−), Arsenic (As), Salinity, Cobalt (Co), and Silicon (Si), exceeding Ethiopian, WHO, and EPA drinking-water quality standards. Among the sampled wells, the one located at Ayer Tena High School, upstream of Koshe, exhibited significantly lower concentrations of parameters indicating leachate impact on groundwater quality As, Cd, Cr3, Pb, Hg, Molybdenum (Mo), NO3-, K, and PO4+ compared to others. The presence of these parameters in nearby groundwater wells suggests a substantial impact of the Koshe dump site on groundwater quality. Traditional landfills and dump sites must be outlawed, and new hygienic landfills must be constructed in a convenient location to end the continued groundwater pollution.
The Features of Shared Genes among Transcriptomes Probed in Atopic
Dermatitis, Psoriasis, and Inflammatory Acne: S100A9 Selection as the
Target Gene
Authors: Wang Wei , Hwang Sungbo , Park Daeui , Park Yong-Doo 
Published: May 2024

Background:
Atopic dermatitis (AD), psoriasis (PS), and inflammatory acne (IA) are
well-known as inflammatory skin diseases. Studies of the transcriptome with altered expression
levels have reported a large number of dysregulated genes and gene clusters, particularly those involved
in inflammatory skin diseases.

Objective:
To identify genes commonly shared in AD, PS, and IA that are potential therapeutic targets,
we have identified consistently dysregulated genes and disease modules that overlap with
AD, PS, and IA.

Methods:
Microarray data from AD, PS, and IA patients were downloaded from Gene Expression
Omnibus (GEO), and identification of differentially expressed genes from microarrays of AD, PS,
and IA was conducted. Subsequently, gene ontology and gene set enrichment analysis, detection
of disease modules with known disease-associated genes, construction of the protein-protein interaction
(PPI) network, and PPI sub-mapping analysis of shared genes were performed. Finally, the
computational docking simulations between the selected target gene and inhibitors were conducted.

Results:
We identified 50 shared genes (36 up-regulated and 14 down-regulated) and disease modules
for each disease. Among the shared genes, 20 common genes in PPI network were detected
such as LCK, DLGAP5, SELL, CEP55, CDC20, RRM2, S100A7, S100A9, MCM10, AURKA,
CCNB1, CHEK1, BTC, IL1F7, AGTR1, HABP4, SERPINB13, RPS6KA4, GZMB, and TRIP13. Finally,
S100A9 was selected as the target gene for therapeutics. Docking simulations between
S100A9 and known inhibitors indicated several key binding residues, and based on this result, we
suggested several cannabinoids such as WIN-55212-2, JZL184, GP1a, Nabilone, Ajulemic acid,
and JWH-122 could be potential candidates for a clinical study for AD, PS, and IA via inhibition
of S100A9-related pathway.

Conclusion:
Overall, our approach may become an effective strategy for discovering new disease
candidate genes for inflammatory skin diseases with a reevaluation of clinical data.
The Cross-Talk of Non-coding RNAs and Inflammation in Human Cancer
Authors: Li Jiayi , Lei Xiaoyong , Yang Xiaoyan 
Published: May 2024

Abstract:
Despite advanced clinical treatment, the mortality rate of cancer patients is high. Recent
studies have linked the development of cancer to inflammation. Many cancers are exacerbated
by the emergence of inflammatory responses, and non-coding RNAs play an important
role in inflammation. Non-coding RNAs include microRNAs, circular RNAs, long-chain noncoding
RNAs, etc. The non-coding RNA regulatory network composed of microRNAs, circular
RNAs and long-chain non-coding RNAs is involved in the regulatory process of multiple gene
expression. They can act on various signaling pathways, such as wnt/β-catenin, nuclear factorkappa
B, phosphatidylinositol 3 kinase/ AKT, mitogen-activated protein kinase, and so on. These
signaling pathways can control the occurrence of inflammatory response to some extent, such
as regulating the expression of inflammatory cytokines (such as interleukin-6, interferongamma,
tumor necrosis factor-α, and so on), making them upregulated or down-regulated.
Therefore, it is important to study the role of non-coding RNAs in inflammation to contribute to
the future of cancer.
Flavonoids and Organic Acids Affect Phase II Metabolism based on the Regulation of UGT1A1 Expression and Function
Authors: Zhang Lin , Zhang Xuerong , Wang Caiyan 
Published: May 2024

Background:
Exogenous substances modulate metabolism by regulating the expression
and function of UDP-glycosyltransferases (UGTs). However, the exact mechanism in the
intestine was rarely understood. Herein, we explored the effects of representative flavonoids and
organic acids on the regulation of UGT1A1.

Methods:
MTT assays and western blot analysis were used to explore the effect of polyphenols.
X-ray diffraction was used to reveal the catalytic mechanisms of UGTs.

Results:
MTT assays showed that these compounds basically had no cytotoxicity, even in concentrations
up to 200 μM. Then, through western blot assays, UGT1A1 expression was increased
after being treated with liquiritigenin and caffeic acid. Furthermore, liquiritigenin and
caffeic acid enhanced the nuclear translocation of Nrf2. Moreover, a 2.5-Å crystal structure of
the complex containing UGTs C-terminal domain and organic acid was solved, and the UDPGA
binding pocket could be occupied by organic acid, suggesting the enzyme activity might be impaired
by organic acid.

Conclusion:
Above all, liquiritigenin and caffeic acid maintained the metabolism balance by
upregulating the expression of UGT1A1 via Nrf2 activation and inhibiting the enzyme activity
in Caco-2 cells.
Classification of Various Plant Leaf Disease Using Pretrained Convolutional Neural Network On Imagenet
Authors: Hukkeri Geetabai S , Soundarya B C , Gururaj H L , Ravi Vinayakumar 
Published: May 2024

Introduction/BackgroundPlant diseases and pernicious insects are a considerable threat in the agriculture sector. Leaf diseases impact agricultural production. Therefore, early detection and diagnosis of these diseases are essential. This issue can be addressed if a farmer can detect the diseases properly.ObjectiveThe fundamental goal of this project is to create and test a model for precisely classifying leaf diseases in plants.Materials and MethodsThis paper introduces a model designed to classify leaf diseases effectively. The research utilizes the publicly available PlantVillage dataset, which includes 38 different classes of leaf images, ranging from healthy to disease-infected leaves. Pretrained CNN (Convolutional Neural Network) models, includingVGG16, ResNet50, InceptionV3, MobileNetV2, AlexNet, and EfficientNet, are employed for image classification.ResultsThe paper provides a performance comparison of these models. The results show that theEfficientNetmodel achieves an accuracy of 97.5% in classifying healthy and diseased leaf images, outperforming other models.DiscussionThis research highlights the potential of utilizing advanced neural network architectures for accurate disease detection in the agricultural sector.ConclusionThis study demonstrates the efficacy of employing sophisticated CNN models, particularlyEfficientNet, to properly identify leaf diseases. Such technological developments have the potential to improve disease detection in agriculture. These improvements help to improve food security by allowing for preventive actions to battle crop diseases.
Research on Academic English Writing Teaching Based on Production-oriented Approach
Authors: Li Suzhen 
Published: May 2024

Academic English writing is a challenging task in college English. Under traditional teaching methods, although teachers invest a lot of energy and time, little effect is achieved. This paper is based on the Production-oriented Approach proposed by distinguished Professor Wen Qiufang. Under the guidance of the teaching concept and teaching assumptions of this theory, this paper, taking a specific writing topic as an example, elaborates on how to design the three phases of motivating, enabling and assessing. In order to verify the effectiveness of this teaching method, the paper also analyzes and summarizes the collected questionnaires and interview texts. Academic English writing teaching guided by the Production-oriented Approach can help students reduce anxiety, make students' input learning more targeted, and greatly improve their reading and writing abilities.
Analisis Konvergensi Ekonomi Kabupaten/Kota di Provinsi Bali
Authors: Kirana Tiara Candra 
Published: May 2024

This study aims to determine whether there has been absolute convergence and conditional convergence in regencies/cities in Bali Province in 2017-2021. The data used are secondary data sourced from the Central Bureau of Statistics (BPS). The analysis used in this study is Panel Data Regression Analysis using the Common Effect Model approach to determine the existence of absolute convergence, while to determine the existence of conditional convergence using the Random Effect Model approach. Convergence analysis is used to see whether regions with low economies can catch up with regions with high economies. Based on the results of the analysis, it is shown that in 2017-2021 there has been absolute convergence and conditional convergence in Regencies/Cities in the Province of Bali.

Penelitian ini bertujuan untuk mengetahui apakah telah terjadi konvergensi absolut dan konvergensi kondisional pada Kabupaten/Kota di Provinsi bali tahun 2017-2021. Data yang digunakan adalah data sekunder yang bersumber dari Badan Pusat Statistik (BPS). Analisis yang digunakan dalam penelitian ini adalah Analisis Regresi data Panel dengan menggunakan pendekatan Common Effect Model (CEM) untuk mengetahui adanya konvergensi absolut dan Random Effect Model (REM) untuk mengetahui adanya konvergensi kondisional. Analisis konvergensi digunakan untuk melihat apakah daerah dengan perekonomian rendah dapat mengejar ketertinggalannya terhadap daerah dengan perekonomian yang tinggi. Berdasarkan hasil analisis menunjukkan bahwa pada tahun 2017-2021 telah terjadi konvergensi absolut dan konvergensi kondisional pada Kabupaten/Kota di Provinsi Bali.
Assessment of Urinary Tract Infections Among Female Patients Attending Ruhengeri Referral Hospital
Authors: Alain Prudence Ishimwe , Evariste Ntezirizaza , Clementine Yamukujije , Hiberte Migabo , Consolée Uwamahoro , Jean De Dieu Tuyishime 
Published: May 2024

Background: Urinary tract infections (UTIs) are the inflammatory disorders of the urinary tract caused by the abnormal growth of pathogens. UTI is known to cause short-term morbidity in terms of fever, dysuria, and lower abdominal pain (LAP) and may result in permanent scarring of the kidney. The presence of bacteria in the urine, known as bacteriuria, may be indicative of infection or colonization of the urinary tract, but it may also be due to bacterial contamination occurring during collection of a specimen.
Aim: The present study was done in order to identify the bacteria causing UTI from female patients.
Methodology: A cross sectional study was conducted on female patients who were attending Ruhengeri Referral Hospital in a period of two months from October to November 2021. Urine samples were collected from patients who were requested to urinary test with respect to standard procedures. Samples were processed and analyzed at INES-Ruhengeri microbiology laboratory where gram stain and culture as well as biochemical test were performed in order to make microbial identification. From the results patients who were found with UTI, their structured questionnaire was taken into consideration in order to determine the associated risk factors.
Results: The outcomes of the study indicated that E.coli, K. pneumonia, P. aeruginosa, Enterobacter ssp and S. saprophyticus were isolated from patients urine sample where E. coli is more present in patients sample where it has been found at 60%(18) samples. The least isolated bacteria in patient’s samples are Enterrobacter spp and S. saprophyticus at frequency of 2(6.7) per each bacterium. The risk factor associated with urinary tract infection in female patients attended Ruhengeri-referral-hospital in a period of study, the results indicated that douching in secret parts twice a day is associated with UTI with P-value equivalent to 0.001.
Conclusion: This study was intended to assess the UTI among female patients. The study findings indicated that E.coli, K. pneumonia, P. aeruginosa, Enterobacter ssp and S. saprophyticus are more likely to be found in urinary tract of female. The study finding has indicated also that poor hygienic life style increases the risk of being infected by UTIs.
Formulation and Evaluation of Ethosomal Cream containing Resveratrol for the Treatment of Contact Dermatitis
Authors: Kaundal Nidhika , Kumar Pravin 
Published: May 2024

Objective: The aim of this study was to formulate and evaluate ethosomal cream containing resveratrol for the treatment of contact dermatitis.
Method: Resveratrol-loaded ethosome was prepared using cold method. The prepared ethosomes were assessed for entrapment efficiency (%), TEM analysis and sedimentation rate to determine the optimal formulation for loading into cream base. The selected formulation was further investigated for particle size distribution and zeta potential. A cream base was formulated using fusion and trituration method and selected for loading with the ethosomal suspension, meeting specification suitable for topical delivery. Ethosomal cream formulations were evaluated for drug content, ex -vitro diffusion by using goat skin, skin retention, microbiological study and stability study.
Result and Discussion: The formulation E3 was selected for loading in the optimized cream base (F4) to obtain a topical cream containing ethosomes of resveratrol. The release study reveals that release was controlled for the 24 hours. The drug release in buffer was less than 17% from all the formulations after 24 hours. The drug content of resveratrol in goat skin and cream remained in donor compartment indicates that the drug retention in skin was high in all the formulations, which is desirable for the topical formulations. The best possible release kinetics of the formulation loaded with resveratrol containing ethosomes was found to be zero order. The ‘n’ value from Peppas’s model indicated that the drug release was by Fickian diffusion. Stability study indicates that all the cream formulations were stable after a time period of one month.
Conclusion: The present study conclusively supported that ethosomal cream containing resveratrol to be an advantageous topical drug delivery system in treatment of ACD. However detail in- vivo study should be conducted in future to be justify the in- vitro study.
Keywords: Resveratrol, Ethosome, Cream, Contact dermatitis.
Design and Evaluation of Gastro-Retentive Floating Tablets of Ibandronic acid
Authors: Mehta Gagandeep , Kumar Rajesh , Singh Ajeet Pal , Singh Amar Pal 
Published: May 2024

The objective of this study is Preparation and evaluation of gastro-retentive floating tablets of Ibandronic acid by direct compression method polymers or combination. In this study, Ibandronic acid, the most commonly used biphosphonate for treating osteoporosis, was formulated as gastro retentive dosage form (GRDF) tablets to enhance its oral bioavailability. GRDDs are an approach to prolong gastric residence time, there by targeting site-specific drug release in the upper GIT for local or systemic effect. GRDF tablets of Ibandronic acid (200 mg) were characterized with the effects of Carbopol 934P, HPMC 4KM and Na-CMC at various ratios on swelling, floating, physical integrity. A prolonged dissolution profile of Ibandronic acid GRDF tablets developed in this study was observed for its thickness, friability, hardness, drug content and in-vitro drug release. Formulated Floating tablets of Ibandronic acid gave satisfactory results for various physicochemical parameters like hardness, friability, thickness, weight variation and content uniformity. Sodium bicarbonate has predominant effect on the buoyancy lag time, while HPMC K4M has predominant effect on total floating time and drug release. From the study it is evident that a promising controlled release floating tablets of Ibandronic acid can be developed to increase gastric residence time and thereby increasing its bioavailability. Both doses significantly reduced the occurrence risk of new vertebral fractures by 50–52 percent when compared to the effects of the placebo drug.
Keywords: Gastro retention, Ibandronic acid, floating tablet, Carbopol, GRDF, GRFT.