bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction of cohesion model of college English teaching under Cloud Computing environment
Authors: Luo Liang 
Published: November 2022

Abstract
In order to improve the cohesion and quality of college English teaching, a model of college English teaching cohesion under the interactive network environment of cloud computing database server is constructed. In this paper, we propose an interactive network platform for college English teaching based on cloud computing multimedia fusion database server. In the interactive network environment of cloud computing database server, the big data analysis model of college English teaching fusion multimedia information is constructed, and combined with the big data mining method, the multimedia information fusion and feature clustering processing of college English teaching fusion are carried out in the interactive network environment of cloud computing database server. Using the heterogeneous directed graph fusion clustering method, this paper designs the optimal storage structure of college English teaching integration multimedia information under the cloud computing database server interactive network environment, and extracts the semantic ontology features of college English teaching integration multimedia information under the cloud computing database server interactive network environment. Through feature optimization retrieval, the design of college English teaching fusion platform and multimedia information fusion under the interactive network environment of cloud computing database server are realized. Through the multimedia information fusion method of college English teaching fusion under the interactive network environment of cloud computing database server, differential scheduling is carried out to improve the ability of college English teaching integration and multimedia information fusion under the interactive network environment of cloud computing database server. The simulation results show that the designed college English teaching interface platform has a high degree of information fusion and a strong ability of resource allocation under the interactive network environment of cloud computing database server.
Title: QT Correction Formulae: comparison of different heart rate correction methods in Indian rhesus monkeys
Authors: Bhatt Laxit K. , Shah Chitrang R. , Patel Rajesh J. , Patel Shital D. , Patel Sudhir R. , Patel Vipul A. , Patel Jitendra H. , Dwivedi Pankaj , Shah Niraj A. , Sundar Rajesh S. , Jain Mukul R. 
Published: November 2022

Abstract

Rhesus monkeys are a non-rodent species employed in the preclinical safety evaluation of pharmaceuticals and biologics. These nonhuman primate species have been increasingly used in biomedical research because of the similarity in their ionic mechanisms of repolarization with humans. Heart rate and QT interval are two primary endpoints in determining the pro-arrhythmic risk of drugs. As heart rate and QT interval have an inverse relationship, any change in heart rate causes a subsequent change in QT interval. This warrants for calculation of a corrected QT interval. The objective of this study was to identify an appropriate formula that best corrected QT for change in heart rate. We employed seven formulas based on source-species type, clinical relevance, and requirements of various international regulatory guidelines. Data showed that corrected QT interval values varied drastically for different correction formulas. Equations were further compared on their slope values based on QTc versus RR plots. The rank order of the slope for different formulas was (closest to farthest from zero) QTcNAK, QTcHAS, QTcBZT, QTcFRD, QTcVDW, QTcHDG, and QTcFRM. QTcNAK emerged to be the best correcting formula in this study. It showed the least correlation with the RR interval (r= -0.01) and no significant difference amongst the sexes. As there is no universally recognized formula for preclinical use, the authors recommend developing a best-case scenario model for specific study designs and individual organizations. The data from this research will help decide the appropriate QT correction formula for the safety assessment of new pharmaceuticals and biologics.
A heuristic-iterative technique for optimal battery size selection towards dispatchable wind generation
Authors: Kashyap Shubham , Ghose Tirthadip 
Published: November 2022

Abstract
This paper aims to develop a simple yet effective technique for estimating the size of a Battery Energy Storage System (BESS) in order to make a Wind Energy System (WES) work as a dispatchable unit in unit commitment problem. The technique proposes an approximate method that can estimate the initial kWh of the battery and then upgrade the kWh size of the battery iteratively on the basis of heuristic rules that can mitigate the probabilistic forecasted error of wind power generation. An approximate method for initial size of the BESS has been proposed based on the longest continuous discharging cycle of the BESS to obtain near-optimum solution. After determining the initial BESS size, two heuristic rules are used to update the initial value in each iteration when the constraints are violated. A series of probabilistic forecasted wind power generation errors generated by the Autoregressive Dynamic Adaptive (ARDA) technique and then mapped on the Normal Distribution Curve (NDC) for each time block of a day to generate a more appropriate error or load cycle of the BESS to deal with wind speed variability. To demonstrate the justification of the proposed technique and the cost of the BESS, different load cycles have been generated using mean and 1σ of the NDC values. The proposed iterative technique was validated by comparing it to the Genetic Algorithm (GA) when applied to the BESS sizing optimization problem.
Detection of Honey Adulteration by Investigation of the Physico-chemical Properties of Honey Adulterated with the Addition of Glucose-Fructose and Maltose Corn Syrups
Authors: Gün Ramazan , Karaoğlu Mehmet Murat 
Published: November 2022

Abstract
This study aims to experimentally investigate the effect of sugar syrup additions on quality measurements of honey and to detect adulteration. For that purpose, two different pure blossom honey samples were adulterated by directly mixing 0%, 5%, 10%, 20%, 30%, 40%, and 50% of commercially available glucose-fructose corn syrup and maltose corn syrup. In this regard, key physicochemical properties like moisture, pH, free acidity, proline, diastase number, colour (L, a, b and Delta-E), electrical conductivity, HMF, sugar profile (glucose, fructose, sucrose and maltose), and C4 sugar analysis were tested. Individual measurement of sugar profile and C4 sugar ratio allowed determining adulterations of sugar syrups to certain extend; however, results obtained from analyses of moisture, pH, free acidity, proline, diastase number, colour, electrical conductivity, and HMF fails to detect sugar syrup adulteration. Then, the experimental test results of moisture, pH, free acidity, proline, diastase number, colour, electrical conductivity, and HMF were statistically evaluated using Principal Component Analysis that enables us to detect adulterations at the all-syrup ratios (5% - %50).
Clusters of co-regulated proteins in brain cortex associate with fronto-temporal lobar degeneration
Authors: Bridel Claire , Gils Juami HM van , Miedema Suzanne SM , Hoozemans Jeroen J , Pijnenburg Yolande AL , Smit August B , Rozemuller Annemieke JM , Abeln Sanne , Teunissen Charlotte E 
Published: November 2022

Abstract
Background
Frontotemporal lobar degeneration (FTLD) is characterized pathologically by neuronal and glial inclusions of hyperphosphorylated tau or by neuronal cytoplasmic inclusions of TDP43. This study aimed at deciphering the molecular mechanisms leading to these distinct pathological subtypes.
Methods
To this end, we performed an unbiased mass spectrometry-based proteomic and systems-level analysis of middle frontal gyrus cortices of FTLD-tau (n = 6), FTLD-TDP (n = 15), and control patients (n = 5). We validated these results in an independent patient cohort (total n = 24).
Results
The middle frontal gyrus cortex proteome was most significantly altered in FTLD-tau compared to controls (294 differentially expressed proteins at FDR = 0.05). The proteomic modifications in FTLD-TDP were more heterogeneous (49 differentially expressed proteins at FDR = 0.1). Weighted co-expression network analysis revealed 17 modules of co-regulated proteins, 13 of which were dysregulated in FTLD-tau. These modules included proteins associated with oxidative phosphorylation, scavenger mechanisms, chromatin regulation and clathrin-mediated transport in both the frontal and temporal cortex of FTLD-tau. The most strongly dysregulated subnetworks identified Cyclin-Dependent Kinase 5 (CDK5) and Polypyrimidine Tract Binding Protein 1 (PTBP1) as key players in the disease process. Dysregulation of 9 of these modules was confirmed in independent validation datasets of FLTD-tau and control temporal and frontal cortex (total n = 24). Dysregulated modules were primarily associated with changes in astrocyte and endothelial cell protein expression levels, indicating pathological changes in FTD are not limited to neurons.
Conclusions
Using this innovative workflow and zooming in on the most strongly dysregulated proteins of the identified modules, we were able to identify disease-associated mechanisms in FTLD-tau with high potential as biomarkers and/or therapeutic targets.
The Divergent Effects of Remittance Transfers for Post-Disaster States
Authors: Eldemerdash Nadia , Landis Steven 
Published: November 2022

Abstract

This paper asks how remittances flows, the value of which has increased substantially in the last 20 years, moderate disruptions in state capacity generated by rapid-onset natural disasters. Focusing specifically on earthquakes, we consider how remittances affect social welfare and unrest. We propose two causal pathways that reflect the complex effects both natural disasters and remittances have on states and societies. First, we argue that remittances can mitigate political instability by smoothing disruptions in individual consumption, which are most salient during times when states are struggling to supply public goods, as in the aftermath of natural disasters. Second, we argue that remittance flows can supply financial resources that empower dissident groups to mobilize protests and other anti-state action. Although these pathways appear conflicting, we contend that they stem from the same causal mechanism—income smoothing—which is an important refinement in existing research that reports contradictory findings. Our results are supportive of our theoretical argument and show that remittances can paradoxically improve social welfare while also heightening the conditions for social unrest.
JEL: F24, O57, Q54
South-Eastern Dinaric Karst – Contrasts in Water Treasury
Authors: Stevanović Zoran , Milanović Petar 
Published: November 2022

Abstract
South-eastern Dinarides comprise territories of four countries of SE Europe - Croatia, Bosnia & Herzegovina, Montenegro and Albania and their parts belonging to the Adriatic basin. The region consists mainly of highly karstified carbonate rocks and is characterised by a high precipitation rate. As a result, karst aquifers can accumulate large amounts of groundwater issuing at numerous karst springs, some being the world’s largest in terms of maximal flow. Locally, the annual total rainfall rate sometimes reaches 5,000 mm or even more, while an average specific groundwater yield of examined karst aquifers ranges from 40 to 50 l/s/km2. However, as discussed in this paper, the region also has many contrasts: abundant water reserves yet water shortage in certain parts, natural phenomena and wonders yet limited sources of life, good natural water quality marred by its vulnerability to pollution, feasible engineering solutions accompanied by their partly negative impact on environment, and water management at the national level contrasting with the transboundary character of most large aquifers. Doubts whether waters from this “treasury” are utilised in the best way and what the prospects are for their sustainable use and protection in the future are also analysed in the text.
Dietary Grape Seed Extract, Onion Peel Extract or Rosemary Extract supplementation alleviates Diquat-induced Restrained Growth and Oxidative Stress of Lohmann Chicks
Authors: Wang Man , He Zongze , Xiong Zhaolong , Liu Hongwei , Zhou Xiang , He Jian 
Published: November 2022

AbstractThe present study was carried out to evaluate thegrape seed extract,onion peel extractandrosemary extracton Diquat-induced restrained growth and oxidative stress in Lohmann chicks. A total of 200 Lohmann chicks, one day old, were assigned randomly into 5 diets: the positive control (PC) group, the negative control (NC) group, the grape seed extract (GSE) 100 mg/kg supplementing diet, the onion peel extract (OPE) 100 mg/kg supplementing diet and the rosemary extract (ROE) 100 mg/kg supplementing diet. During the first 7 days of trial, compared with NC and PC groups, the GSE group enhanced average daily feed intake (P < 0.05). On day 8, all chicks were intraperitoneally injected with diquat except PC which was injected with normal saline. Diquat injection decreased the growth performance (P < 0.05), increased platelet volume distribution width (PWD) concentration (P < 0.05), increased malondialdehyde (MDA) concentration and activities of alanine aminotransferase (ALT) in the serum of chicks (P < 0.05), decreased total protein (TP), albumin (ALB), globulin (GLB) concentration, activities of superoxide dismutase (SOD) and glutathione S-transferase (GST) in the serum (P < 0.05), increased MDA concentration and decreased GST activities in the liver (P < 0.05). From d 8 to 21, lower average daily gain (ADG) was observed in NC group than other groups (P < 0.05). Compared with NC group, GSE decreased ALT activities, MDA, RDW and PDW concentration (P < 0.05), increased SOD, GST activities (P < 0.05). Compared with NC group, ROE decreased ALT activities and MDA concentration (P < 0.05). Compared with NC group, the OPE group decreased ALT activities, MDA, RDW and PDW concentration (P < 0.05), increased SOD activities (P < 0.05) of chicks. These results suggest that supplementing antioxidants in diets alleviated oxidative stress in chicks challenged by improve antioxidant capacity and liver function.
Overwintering aggregation patterns of a freshwater giant
Authors: Westrelin Samuel , Moreau Mathieu , Fourcassié Vincent , Santoul Frédéric 
Published: November 2022

AbstractAnimal aggregation, particularly in large-bodied species, is both a fascinating and intriguing phenomenon. Here we analyzed the overwintering behavior of the European catfish,Silurus glanisLinnaeus, 1758, the largest freshwater fish in Europe. By tracking 47 subadults and adults in a shallow lake in southeastern France, we reported a consistent aggregative behavior across four successive winters. By implementing time series analysis and Cox proportional hazard models, we investigated the dynamics of these aggregations (formation, stability, dislocation), and the factors that govern it, whether external (temperature, time of the day) or specific to the fish (size, key individuals). These aggregations lasted 1.5–2 months and mainly took place in a single small 4m-deep area whose environmental conditions (temperature, oxygen, substrate) did not differ from other parts of the lake. In some periods during winter, all tagged fish were aggregated, which suggests that a large proportion of the lake population gathered there. Low temperatures (below 9°C) triggered the formation of aggregations. They became more stable with decreasing temperatures, while individuals more frequently left the aggregation, preferentially at dusk and at night, when temperatures increased. The largest individuals swam more frequently back and forth to the aggregation. Irrespective of their size, some individuals consistently arrived earlier in the aggregation in winter and left later. This could mean that some individuals seek social interactions while others are more independent. This predictable seasonal grouping of individuals and, more generally, the knowledge provided by such studies on how species use space have important operational value and are useful for species conservation as well as for species control.
Multiple Linear Regression Approach for Sensorless MPPT of PMSG Wind Power Generation Systems
Authors: Abo-Khalil Ahmed G. , Sobhy Ahmed , Sayed Khairy 
Published: November 2022

Abstract
In this paper, a novel approach for extracting the maximum power from a wind energy conversion system (WECS) eqquiped with a permanent magnet synchronous generator (PMSG) is presented. Wind power generation systems have gained prominence as an alternative to conventional power plants worldwide, being the renewable energy source with the best growth prospects. However, the intermittent nature of wind power reduces energy reliability and hinders the development of technologies in this area. Therefore, a sensorless controller for a WECS with a PMSG is developed to enhance the conversion efficiency of the wind enegy system. The proposed control algorithm predicts the wind speed from the wind turbine power-speed characteristics. It uses the predicted speed to determine the optimum reference rotating speed to extract the maximum power point (MPPT) based on the optimum tip-speed ratio. The proposed control approach is based on a multiple linear regression (MLR) algorithms which is used to predict the wind speed value by calculating the regression coefficients from the predetermined training samples of the turbine power, rotating speed, and wind speed. The MPPT operating mode is maintained as long as the available power is less than the rated power of the converter. Otherwise, the MPPT algorithm is disabled, and a mechanical power control loop guarantees nominal power. A complete theoretical analysis and the experimental results considering the prototype with the nominal power of the 3 kW wind turbine used are presented. The experimental results has proven the effectiveness and robustness of the proposed control approach.
The significance of spread through air spaces in the prognostic assessment model of stage I lung adenocarcinoma and the exploration of its invasion mechanism
Authors: Niu YangYang , Han XinHao , Zeng Yuan , Nanding Abiyasi , Bai Qiang , Guo SaiNan , Hou YaLi , Yu Yan , Zhang QiuJu , Li XiaoMei 
Published: November 2022

Abstract
Purpose
Spread through air spaces (STAS) is a crucial invasive mode of lung cancer and has been shown to be associated with early recurrence and metastasis. We aimed to develop a prognostic risk assessment model for stage I lung adenocarcinoma based on STAS and other pathological features and to explore the potential relationship between CXCL-8, Smad2, Snail, and STAS.
Methods
312 patients who underwent surgery at Harbin Medical University Cancer Hospital with pathologically diagnosed stage I lung adenocarcinoma were reviewed in the study. STAS and other pathological features were identified by H&E staining, and a prognostic risk assessment model was established. The expression levels of CXCL8, Smad2, and Snail were determined by immunohistochemistry.
Results
The nomogram was established based on age, smoking history, STAS, tumor lymphocyte infiltration, tissue subtype, nuclear grade, and tumor size. The C-index for DFS was (training set 0.84 vs validation set 0.77) and for OS was (training set 0.83 vs validation set 0.78). Decision curve analysis showed that the model constructed has a better net benefit than traditional reporting. The prognostic risk score validated the risk stratification value for stage I lung adenocarcinoma. STAS was an important prognostic factor associated with stronger invasiveness and higher expression of CXCL8, Smad2, and Snail. CXCL8 was associated with poorer DFS and OS.
Conclusions
We developed and validated a survival risk assessment model and the prognostic risk score formula for stage I lung adenocarcinoma. Additionally, we found that CXCL8 could be used as a potential biomarker for STAS and poor prognosis, and its mechanism may be related to EMT.
Evaluation of dexamethasone and its combination with mineral suppliments on the DNA compactness/breakage of antioxidant defense enzymes
Authors: aslan cagla , Arman Ibrahim , Nabi-Afjadi Mohsen 
Published: November 2022

Abstract
Dexamethasone, a synthetic glucocorticoid drug, is widely used as an anti-inflammatory/anti-allergic agent worldwide. Several previouse studies suggested that in the inflammatory or enriched free radical condition, Dexamethasone directly bind to DNA leading to DNA brekage/remodeling and subsequently cancer or other DNA breakage related disorders. So, for the first time, we computationally and experimentally investigated the interaction of Dexamethasone drug, alone and in combination with H2O2, ascorbic acid, iron and copper, with a routine supercoiled plasmid DNA. In the next step, the intrinsic DNA binding constant (kd) was calculated using UV absorption titration method via Dexamethasone interaction with calf thymus DNA (ctDNA). Also, interaction of the drug with antioxidant enzymes including catalase, superoxide dismutase, glutathione peroxidase 4, glutathione reductase was investigated by molecular docking methods. Interestingly, our in-vitro study demonstraded that dexamethasone binds to DNA by binding energy of -5.35 kcal/mol. Our study also indicatd that dexamethasone/DNA interaction lead to no DNA breakage while, its combination with the mineral supplies cause to DNA damage/breakage. This results are consistent with our Docking study that indicated dexamethasone stungly bind to DNA and the catalytic site of glutathione peroxidase 4, FAD-binding site of the glutathione reductase, the active site of the superoxide dismutase and NADPH binding residues of the catalase enzyme. Therefore, we hypothesis that Dexamethasone may indirectly make DNA damages by inhibiting antioxidant defense enzymes and causing oxidative stress in cells.
Method for obtaining Nyquist plots identical to those of the three-electrode AC impedance method in concrete- embedded rebar without requiring electrical continuity
Authors: Hashimoto Nagate , Tanaka Motoki , Kaneko Yasuaki , Kato Yoshitaka , Hirama Akinobu 
Published: November 2022

Abstract
Corrosion of steel bars is one cause of deterioration in reinforced concrete structures. The state of corrosion of rebar in concrete structures can be measured using the AC impedance method. The typical three-electrode AC impedance method requires electrical continuity between the rebar and the measurement device, which may be inconvenient because the structure requires to be partly damaged by processes such as drilling. The present study proposes a method to obtain the same impedance spectra as the three-electrode method by modifying the electrode configuration of the four-electrode method. The procedure for such a measurement is as follows. First, the counter electrode and the measurement reference electrode place at the measurement point. Next, another counter electrode at a sufficient distance from the measurement point place. Another reference electrode place at a sufficient distance from both the measurement point and the applied counter electrode. And Connect WE_I to the applied counter electrode, WE_V to the reference electrode, CE to the applied counter electrode, and RE to the applied counter electrode, and measure the impedance. In this paper, the physical experiments and the numerical experiments demonstrate the validity of the above method.