bluuebunny/crossref_metadata_2025_split huggingface dataset:
Remote Ischemic Preconditioning Prevents Sarcolemmal Associated Protein Proteolysis by Mmp-2 Inhibition
Authors: Bin Eliana P. , Zaobornyj Tamara , Garces Mariana , D’Annunzio Verónica , Buchholz Bruno , Marchini Timoteo , Evelson Pablo , Gelpi Ricardo J. , Donato Martín 
Published: December 2022

Abstract
The death of myocytes occurs through different pathways, but a key point in the transition from reversible to irreversible injury is the rupture of the plasma membrane. Three major groups of structural proteins that link the extracellular and intracellular milieus and confer structural stability to the cell membrane are present in cardiac myocytes: the dystrophin-associated protein complex, the vinculin–integrin link, and the spectrin-based submembranous cytoskeleton.
The objective was to determine if rIPC preserves membrane-associated cytoskeletal proteins (dystrophin and β-dystroglycan) through the inhibition of metalloproteinase type 2 (MMP-2) activity. A second objective was to describe some of the intracellular signals of the rIPC, that modify mitochondrial function and are activated during early reperfusion.
Methods: Isolated rat hearts were subjected to 30 min of global ischemia and 60 min of reperfusion (I/R). rIPC was performed by 3 cycles of ischemia/reperfusion in the lower limb (rIPC). Results: As we expected, rIPC significantly decreased the infarct size. rIPC induced an Akt/GSK-3b phosphorylation and the inhibition of the MPTP opening, improving mitochondrial function, increasing membrane potential, ATP production and respiratory control. I/R induced ONOO- production, which activates MMP-2. This enzyme degrades β-dystroglycan and dystrophin and collaborates to sarcolemmal disruption.
Conclusion: rIPC attenuates the breakdown of β-dystroglycan and dystrophin through the inhibition of MMP-2 activity. Furthermore, rIPC activates different intracellular pathway that involves the an Akt/Gsk3b and MPTP pore with preservation of mitochondrial function.
The relation of CUN-BAE body fatness index with incident diabetes: a longitudinal retrospect study
Authors: Peng Qing , Feng Zihao , Cai Zhuojian , Liu Dixing , Zhong Jiana , Zhao Hejia , Zhang Xiuwei , Chen Weikun 
Published: December 2022

Abstract
Background
The Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) index has been recommended as an ideal indicator of body fat and exhibited significant correlation with cardiometabolic risk factors. However, the relationship between the CUN-BAE index and incident diabetes in the Asian population remains unclear. Therefore, this longitudinal study was designed to evaluate the impact of the baseline CUN-BAE index on diabetes.
Methods
This retrospective longitudinal study involved 15,464 participants aged 18–79 in the NAGALA (NAfld in the Gifu Area Longitudinal Analysis) study between 2004 and 2015. The association between the baseline CUN-BAE index and diabetes incidence was tested by cox proportional-hazards regression. And the stratification analysis was further conducted to verify the robustness of the results. The ROC curve was applied to evaluate the diagnostic utility of the CUN-BAE index, and the area under the ROC curve was calculated.
Results
During an average of 5.4 years of follow-up, 373 (2.41%) participants were diagnosed with diabetes. A higher diabetes incidence was associated with ascending CUN-BAE quartiles (P for trend < 0.001). Each 1 standard deviation (SD) increased in CUN-BAE index was associated with a 1.4104-fold and 1.8954-fold increased risk of diabetes after adjustment for confounders in males and females, respectively (both P < 0.001). Stratification analysis demonstrated a consistent positive correlation between baseline CUN-BAE and diabetes incidence. Moreover, CUN-BAE exhibited a better capacity to predict diabetes than both BMI and WC in different genders according to ROC analysis.
Conclusions
The baseline CUN-BAE level was independently related to incident diabetes. Increased adiposity appraised with CUN-BAE could be used as a strong nonlaboratory predictor of incident diabetes in clinical practice.
Predicting Culex pipiens/restuans population dynamics using a weather driven dynamic compartmental population model
Authors: Bakran-Lebl Karin , Kjaer Lene Jung , Conrady Beate 
Published: December 2022

Abstract
Background: Mosquitoes of the genus Culex are important vectors of a variety of arthropod born viral infections. In most of the northern parts of the U.S.A. Cx. pipiens/restuans is the predominant representative of this genus. As vectors, they play a key role in the spreading of arboviruses and thus knowledge of the population dynamic of mosquitos is important to understand the disease ecology of these viruses. As poikilotherm animals, the vital rates of mosquitoes are highly dependent on ambient temperature, and also on precipitation.
Methods: We present a compartmental model for the population dynamics of Cx. pipiens/restuans. The model is driven by temperature, precipitation and daytime length (which can be calculated from the geographic latitude). For model evaluation we used long term mosquito capture data, which were averaged from multiple sites in Cook County, Illinois.
Results: The model fitted the observation data (Spearman’s rs=0.899) and was able to reproduce between year differences in the abundance of the Cx. pipiens/restuans mosquitoes as well as the different seasonal trends. Using this model, we evaluated the effectiveness of targeting different vital rates for mosquito control strategies.
Conclusions:The final model is able to reproduce the weekly mean Cx. pipiens/restuans abundance for Cook County with high accuracy and over a long time period of 20 years. As only operational accessible input parameters were used, the presented model could be simply integrated in epidemiological compartmental models such as susceptible, infectious, and/or recovered (SIR) models of Culex-borne infectious diseases.
Extended mixing processes on early- and later-age of cement systems incorporating fly ash
Authors: Sereewatthanawut Issara , Panwisawas Chinnapat , Ngamkhanong Chayut , Prasittisopin Lapyote 
Published: December 2022

Abstract
Specifications that correlate with system performance can “ensure” continual values being added. Most specifications for ready-mixed concrete address limits on discharge time and truck-drum revolution counts. These limits have been developed for conventional concrete. As the uses of supplementary cementing materials (SCMs) become ubiquitous, it is important to determine whether these specifications are applicable to SCMs, that is, systems containing fly ash. This paper reports results of the effects of mixing time and mixer revolution counts on characteristics of lab-made pastes and mortars. The characteristics assessed include time-variant ion concentrations, setting time, flow, compressive strength, porosity, and apparent chloride diffusivity coefficient. Results indicate that with increasing mixing time and mixer revolution counts, mixtures with a replacement of fly ash exhibit improved fresh and hardened characteristics. Fly ash is suggested to adopt in the extended mixing processes of cement systems.
Screening Enterococcus isolates for antimicrobial and in vitro antitumor activity against colorectal carcinomas
Authors: Siddiqa Ayesha , Hassan Ashba , Sajid Imran 
Published: December 2022

Abstract
Enterococci are a part of the natural intestinal flora of humans and animals and play an important role in keeping their microbial balance. Many species of Enterococci are also used as probiotics that produce vitamins, stimulate the immune responses, and maintain the integrity of gut. The use of dietary supplements to reinforce some gut flora components is a current aspect of functional food sciences to treat various diseases. Enterococcus also produce some enterocins that respond actively against Escherichia coli and Salmonella pullorum and inhibit their growth. The use of advanced techniques of high through put screening of microbial extracts for antimicrobial activity will be helpful for obtaining bioactive compounds. In present study, 21 strains of Enterococcus were isolated and identified morphologically and biochemically. Out of these, 9 strains showed antimicrobial activity against Psuedomonas, Enterobacter, Klebsiella, and Staphylococcus. The strains also showed sensitivity against certain antibiotics such as amoxicillin, norfloxacin, streptomycin, vancomycin, and nalidixic acid. The crude extracts of the isolates also showed antitumor activity against HCT 116 colorectal carcinoma cell line. The crude extracts of these bioactive Enterococcus strains were analyzed chemically by thin layer chromatography (TLC) and high-performance liquid chromatography (HPLC). So, the present study revealed that the antimicrobial compounds produced by these bioactive Enterococcus strains could be used against Psuedomonas, Enterobacter, Klebsiella, and Staphylococcus. Moreover, these strains could be investigated as potential probiotic agents to treat colorectal cancer because of their significant in vitro antitumor activity against colorectal carcinoma (CRC).
Statistical analysis of the effect of Global warming On Seasonal precipitation of Iran
Authors: Nejad Meysam Toulabi , nejad Mehrshad Toulabi , Dolatshahi Zeynab 
Published: December 2022

Abstract
Increasing concentrations of greenhouse gases, increase the frequency of precipitation changes in all around the world. So, identification of the effect of global warming on precipitation of Iran which located in dry area is important in planning to water resources. According to aim of this study, statistical analysis has been used. Total precipitation data of 34 selective stations during 1984 to 2018 were obtained from Iran meteorology organization. In addition, data of methane gas (in billions in part) as one of most important factors of global warming were obtained from NOAA website. At first, correlation between these parameters identified by using Pearson correlation coefficient, then precipitation changes rate were calculated compared to long term. The results show that, spring precipitation in north and northwest of Iran have a growth about 13 mm, and precipitation in southern part of Iran has decreased by 46 percent compared to the long-term. Due to increasing of greenhouse gases, the results of data analysis on summer show decreasing about 30 mm of precipitation of southern stations of Iran compared to long term. But, precipitation of north and west stations of Iran, have a growth about 14 mm. In addition, results show that fall precipitation has highest correlation with global warming. In this season, precipitation of west stations decreases about 24 mm compared to long term. But the southwest and southeast stations have an increasing about 17 mm. The results of data analysis on winter precipitation show decreasing about 18.6 mm on west and northwest stations of Iran.
Pragmatic analysis of wastewater treatment methods from a statistical perspective
Authors: Pande Pournima , Bhagat Ashish 
Published: December 2022

Abstract
Wastewater treatment is an environmental issue of the utmost importance. Pesticides, industrial waste, chemical fertilizers, and radioactive waste are some of the causes for water pollution. Several models exist for treating contaminated wastewater. In this study an application-specific review of various wastewater treatment models is performed. Extensions to existing treatment models are discussed to improve their performance. The treatment models are compared statistically based on performance metrics such as quality of treated water, sludge percentage at output, complexity of treatment, time needed for treatment, and deployment cost. The treatment models are ranked using a novel parameter called Model Rank, which combines all performance metrics into a single number. According to the results, six models, including Advanced Oxidation Processes with Ozone treatment (AOPO), Kernel Principal Components Analysis based one-class Support Vector Machine (KPCA SVM), and four others, have a rank greater than 3.5. The AOPO model has the highest model rank of 3.85 and performs better than all other models. This study might aid major stakeholders in the waste treatment industry, including researchers, in selecting the appropriate waste water treatment method per their requirements.
Investigation of precipitation and extreme indices spatiotemporal variability in Seyhan Basin, Turkey
Authors: Koycegiz Cihangir , Buyukyildiz Meral 
Published: December 2022

Abstract
Spatial and temporal variability of precipitation increases with the effect of climate change. In this study, the Seyhan Basin has been determined as the study area. It is aimed to examine the spatiotemporal variability of precipitation and extreme precipitation indices in the Seyhan Basin. For this purpose, the period 1970–2019 was divided into three periods with the change point detection methods (Pettitt, Buishand rank and standard normal homogeneity test). Trends were examined by applying modified Mann–Kendall and Spearman's rho tests to precipitation and extreme indices for all periods and sub-periods. Then, temporal and spatial analyses of extreme indices were performed. According to the results obtained, there is no precipitation homogeneity throughout the basin. While the threat of drought comes to the fore with the decrease in rainy days and precipitation in the north, the risk of flooding is effective with the increase in precipitation intensity in the south.
Investigation of mechanisms of an upflow-downflow siliceous sand filtration system for surfactants bathroom grey water treatment
Authors: Chaabane Safa , Riahi Khalifa , Anibi Sameh , Thayer Béchir Ben 
Published: December 2022

Abstract
Sustainable decentralized wastewater treatment systems (DEWATS) at the local level are considered as a smart alternative for small communities particularly in arid areas. The present study examines the mechanisms of an upflow-downflow Siliceous Sand (SS) filtration system involved in surfactants bathroom grey water treatment. In order to get a better understanding of the mechanisms involved in surfactants removal, particle size distribution and Fourier transform infrared (FTIR) spectroscopy of the SS particles were performed. Optimization of the upflow-downflow SS filtration system, operated following operational conditions of hydraulic load rate (HLR) and SS amounts, results indicates an average removal efficiency (ARE) of 93.7% reached with respect to surfactants removal. Results showed also that the resulting silicate materials react with surfactants in a cooperative assembly process involving the interaction of SS particles with surfactants aggregates. Brunauer, Emmett and Teller (BET) surface area, pore volume (Vp), and pore size were found to be significantly reduced post-filtration with respectively 3.39%, 24.31%, and 21.86% reduction. From FTIR spectroscopy analysis of the Sulfonates, Silanol and Silane functional groups appear to be involved in mesoporous constructed micelle organization for surfactants removal. Such geo-materials could be green and sustainable for various applications in water and environmental engineering.
Atherosclerosis: From the Disruption of Mitochondrial Membrane
Potential to the Potential Interventional Strategies
Authors: Xia Dexiang , Chen Yanmei , Luo Guifang , Wei Dangheng 
Published: December 2022

Abstract:
Atherosclerosis (AS) is the major factor of cardiovascular disease (CVD) and
is characterized by a progressive and chronic inflammatory process in the arterial wall.
Recent studies have shown that disruption of the mitochondrial membrane potential
(deltapsi (m)) directly affects the electron transport chain (ETC), which in turn
leads to oxidative stress, and furthermore, its alteration leads to apoptosis and activation
of the NLRP3 inflammasome, thereby promoting the development of AS. Here, this review
describes how deltapsi (m) contributes to the development of AS by mediating
oxidative stress, apoptosis, and NLRP3 inflammasome activation, and potential AS intervention
strategies by targeting oxidative stress, apoptosis, and NLRP3 inflammasome activation
induced by deltapsi (m).
Understanding and Targeting the Epigenetic Regulation to Overcome
EGFR-TKIs Resistance in Human Cancer
Authors: Sun Lan , Gao Lingyue , Zhao Yingxi , Wang Yuqing , Xu Qianhui , Zheng Yiru , Chen Jiali , Wang He , Wang Lihui 
Published: December 2022

Background:
The occurrence and progression of cancer are the results of the dysregulation
of genetics and epigenetics. Epigenetic regulation can reversibly affect gene transcription activity
without changing DNA structure. Covalent modification of histones is crucial in the epigenetic
regulation of gene expression. Furthermore, epidermal growth factor receptor (EGFR) significantly
affects cell tumorigenesis, proliferation, antitumor drug resistance, etc. Overexpression of
EGFR promotes cancer development. Therefore, EGFR-targeted drugs have become the focus of
tumor therapy. With the advent of epidermal growth factor receptor tyrosine kinase inhibitors
(EGFR-TKIs), EGFR-TKIs resistance, which occurs about half a year to a year, has become an
obstacle in cancer treatment.

Objective:
The objective of this study is to discuss the ways to overcome EGFR-TKIs resistance in
a variety of tumors.

Methods:
The combination therapy of epigenetic drugs and other drugs is used.

Results:
The combination of the two drugs can overcome the resistance of EGFR-TKIs and prolong
the survival of patients.

Conclusion:
This article depicts the concepts of epigenetics and the mechanism of EGFR-TKIs
resistance and then illustrates the relationship between epigenetic mechanisms and EGFR-TKIs
resistance. Finally, it discusses the clinical research and the latest patents for using epigenetic
drugs to reverse EGFR-TKIs resistance in human cancer. In the future, more novel targets may be
discovered for overcoming resistance to EGFR-TKIs, not just on histone deacetylases (HDACs).
The dosing course and mode of administration of the combination therapy containing epigenetic
drugs need further study. This review provides new ideas for using epigenetic agents to overcome
EGFR-TKIs resistance.
In vivo Antihyperglycemic and Antidyslipidemic Effects of L-Tartaric
Acid
Authors: Eddouks Mohamed , Amssayef Ayoub 
Published: December 2022

Aims:
The aim of the study was to investigate the antihyperglycemic effect of L-Tartaric acid.

Background:
L-Tartaric acid is a natural product with possible beneficial effects on health.

Objective:
The goal of this work was to evaluate the antihyperglycemic and antidyslipidemic effects of L-Tartaric acid (L-TA) in rats.

Materials and methods:
In the first model, the effects of L-TA (10 and 40 mg/kg) on diabetes conditions induced by streptozotocin (STZ) in rats were investigated. In the second model, the effects of L-TA (40 and 80 mg/kg) on dyslipidemia induced by tyloxapol (Triton WR-1339) in rats were assessed.

Results:
L-TA (40 mg/kg) had improved all studied parameters. L-TA at 40 mg/kg was able to significantly reduce glycaemia, improve oral glucose tolerance (OGT), increase glycogen content in liver and extensor digitorum longus (EDL) muscle, and ameliorate the lipidic profile and atherogenic indices in STZ-diabetic rats.

Conclusion:
L-Tartaric acid was able to exhibit antihyperglycemic and antidyslipidemic effects in STZ-induced diabetic rats. Moreover, the antidyslipidemic effect of L-Tartaric acid was confirmed in tyloxapol-induced hyperlipidemic rats.
Pattern of Thyroid Cancer and its Associated Factors among Thyroid Patients Underwent Thyroidectomy at Jimma Medical Center, Southwest Ethiopia; A Four Years Retrospective Review
Authors: Mulatu Bilisuma , Michael Yadene , Alemu Seifu , Demissie Wondu Reta 
Published: December 2022

Background:
Thyroid cancer is the most common malignant disease of endocrine system and its incidence is rapidly increasing globally (about three to four times higher among females and accounts the sixth most common malignancy diagnosed in women). Among the four major types of thyroid cancer, papillary thyroid cancer (PTC) accounts 85-90% from all thyroid cases, followed by follicular thyroid cancer (FTC) which accounts for 5-10% of cases.

Objective:
The present study aimed to assess the pathologic patterns of thyroid disease at Jimma medical center (JMC).

Materials and Methods:
A retrospective data of 260 patients who underwent thyroid surgery from 2015 to 2019 were included in the study and the status of the disease (clinical manifestations, laboratory/pathology findings (thyroid function tests (TFTs) and biopsy) were reviewed from patient cards. The pattern of thyroid cancer was discriminated based on histo-pathological biopsy results. Descriptive and analytical statistics were applied to express the finding and reported by tables, figures and narration. Cross tabulation and logistic regression was applied to determine the association between thyroid CA and its predictors. A p-value of <0.05 was declared as statistically significant.

Results:
From the total sample of 260 patients underwent thyroid surgery, majority of them were females 219(84.2%), belong to age interval of 31-40 years (34.6%), dwellers of Oromia region (91.2%) and Jimma zone (83.8%). Colloid goiter was the most prevalent pattern of thyroid disease (74.6%) followed by follicular CA (4.2%), papillary CA (1.9%) and medullary CA (0.77%) while biopsy results of 48(18.46%) patients were not known. In general, about 194(91.5%) of the thyroid lesion was identified as benign type and malignancy accounts for 18(8.5%) from the total conducted biopsy results of 212 patients. Five variables (marital status, family history of the disease, nodularity, surface and border of the thyroid mass) were the predictors of thyroid malignancy in univariate and finally, two variables (thyroid tissue with surface (rough) and border (irregular)) were identified as the predictors of thyroid malignancy in multivariate [1.9(95%CI; 1.17 to 5.8) P=0.012 and 2.5(95%CI; 1.13 to 16.16) P<0.001] respectively.

Conclusion and Recommendation:
The burden of malignancy was higher and alarming among thyroid diseases and warrants early screening and management.
Association between Diabetes and Rheumatoid Arthritis: A Systematic Literature Review
Authors: Okais Jad , Fayad Fouad , Baddoura Rafic , Tabesh Ouidade Aitisha , Aouad Krystel , Ghoubar Marcelle , Sunna Nancy , Mysler Eduardo 
Published: December 2022

Objective:
To examine the risk of diabetes mellitus (DM) in patients with rheumatoid arthritis (RA) and whether the risk is related to conventional risk factors, RA disease activity, and treatment.

Methods:
A systematic literature review (SLR) query was conducted using specified MeSH terms, searching PubMed and EMBASE databases from inception to March 2020. Both cohort or case-control design studies assessing the incidence or prevalence of DM in RA patients were included.

Results:
Of the 1948 articles, 43 peer-reviewed observational studies were selected. A high degree of heterogeneity in study design and reporting was observed, precluding final conclusions.
Based on the studies included, it was observed that DM prevalence ranged between 1% and 20% in RA patients, which was similar to controls (1–29%). The cumulative incidence of DM in RA patients ranged between 1.3% and 11.7% over different time frames. DM incidence rates in patients with RA per 1000 person-years ranged from 5.2 to 16.7.
RA patients may be at higher risk of DM, particularly among those receiving glucocorticoids (GC), while patients on hydroxychloroquine and biological disease-modifying anti-rheumatic treatments (DMARDs) may be at lower risk.

Conclusion:
DM incidence may be increased in patients with RA as a result of more concomitant traditional risk factors and GC exposure. It is unclear whether biologics may have a true protective effect or provide a GC-sparing effect. High-quality studies in large cohorts of RA patients with appropriate adjustment for covariates are warranted to fully investigate the interplay between DM and RA.