bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiwavelength observations of a partial filament eruption on 13 June 2011
Authors: Zhang Yanjie , Zhang Qingmin , Dai Jun , Li Dong , Ji Haisheng 
Published: August 2022

Abstract
In this paper, we report the multiwavelength observations of the partial filament eruption associated with a C1.2 class flare in NOAA active region 11236 on 13 June 2011. The event occurred at the eastern limb in the field of view (FOV) of Atmospheric Imaging Assembly (AIA) on board the Solar Dynamics Observatory (SDO) spacecraft and was close to the disk center in the FOV of Extreme-UltraViolet Imager (EUVI) on board the behind Solar Terrestrial Relations Observatory (STEREO) spacecraft. During eruption, the filament splits into two parts: the major part and runaway part. The major part flows along closed loops and experiences bifurcation at the loop top. Some of the materials move forward and reach the remote footpoint, while others return back to the original footpoint. The runaway part flows along open field lines, which is evidenced by the potential field source surface (PFSS) modeling and a flare- related type III radio burst. The runaway part also undergoes bifurcation. The upper branch of escapes the corona and evolves into a jet-like narrow coronal mass ejection (CME) at a speed of ∼240 km s−1, while the lower branch falls back to the solar surface. A schematic cartoon is proposed to explain the event and provides a new mechanism of partial filament eruptions.
Person-Environment Fit and Organizational Performance: Polynomial Regression and Response Surface Analysis
Authors: Jiang Daokui , Ning Lei , Zhang Yiting , Liu Qian 
Published: August 2022

Abstract
In the past, the linear effect of person–environment fit on the organizational process and results covers up its complex relationship. Behavioral Reciprocal Determinism Theory holds that the reasons for the changes of individual attitudes and behaviors cannot be simply attributed to individual or environmental factors, but rather to the effect of their interaction. Based on matching theory, the cross-time point method is used to collect data, and 274 valid questionnaires are obtained. The effects of person–environment fit on work satisfaction and organizational performance are analyzed by polynomial regression and response surface analysis. Bootstrapping is applied to confirm the mediating roles of work satisfaction in the above relationship. The results show that (1) Needs-Supplies (NS) fit and Demands-abilities (DA) fit and work satisfaction have an inverted U-shaped curve relationship; (2) work satisfaction has U-shaped curve relationships with task, relationship, and innovation performances; and (3) work satisfaction mediates the influence of person-environment fit and organizational performance. These findings contribute to person–environment fit research and to human resource management practices.
Construction of a Novel kidney renal clear cell carcinoma microenvironment-related lncRNA pair Signature
Authors: Gou Yuanqing , Fu Yongxin , Li Yadong , Huang Hao , Tan Wei , Yuan Ye , Ma Junhao , Liu Chuan , Wu Hao 
Published: August 2022

Abstract
Background: Kidney Renal clear cell carcinoma (KIRC) is a malignant neoplasm originating in the tubular epithelium and is the most common pathologic type of renal carcinoma, accounting for approximately 80% of cases. Tumor microenvironment (TME) has been proved to play a key role in the development of tumor, including KIRC. A number of studies have focused on tumor TME-related genes, but have ignored the key role of TME-related lncRNAs in disease. Method:In this article, we obtained 6 TME-related genes by using ESTIMATE and CIBERSORT computational methods from 611 cases which are downloaded from the TCGA Kidney Renal Clear Cell Carcinoma database. And then we performed coexpression analysis between 6 TME-related genes and lncRNAs to find differently expressed TME-related lncRNAs(TMErlncRNAs). The matrix of TMErlncRNA pairs was established by a cyclic comparison of each lncRNA pair expression level. Univariate and multivariate Cox regressions and LASSO regression analysis were used to construct the hazard model. We have sifted 10 lncRNA pairs that were included in this model. TCGA cohort was divided into high- and low-risk groups, according to the Akaike Information Criterion (AIC) values of the receiver operating characteristic (ROC) curve. Then, we tested and verified our model through various clinical settings: tumor-infiltrating immune cells, clinical-pathological characteristics and reactiveness to immunotherapy. Results: Based on the 6 differently expressed TME-related genes, we sifted and constructed a 10-TME-related lncRNA pair signature. The area under the receiver operator characteristic (ROC) curve (AUC) of the signature was 0. 766, showing a promising prediction value for KIRC, and the cut-off point was recognized as 0. 862. Subsequent analysis showed that our signature is closely associated with clinical pathological characteristics, overall survival, specify tumor infiltration status, and reactiveness to immunotherapy in patients with KIRC. Conclusion: We constructed a novel kidney renal clear cell carcinoma TME-related lncRNA pair signature with promising clinical prediction value in KIRC, which might provide new insights for clinical decision-making and precision medicine.
Malaria knowledge, prevention practices, and care-seeking behavior among Forest-Goers in Cambodia: A mixed-methods formative assessment
Authors: Phok Sochea , Tesfazghi Kemi , Tompsett Andy , Thavrine Boukheng , Ly Po , Hassen Saad El-Din , Avrakotos Avery , Malster JIm , Felker-Kantor Erica 
Published: August 2022

Abstract
Background
Cambodia has made significant progress towards achieving malaria elimination by 2025. Cases continue to decrease and are primarily concentrated in forested areas. Forest-goers are most at risk of malaria due to their proximity to the forest, poor sleeping conditions, frequent mobility, and distance from health services. Consistent use of long-lasting insecticide-treated nets or hammock nets (LLINs/LLIHN), early diagnosis and treatment of cases are central to reducing disease burden. The aim of this study was to understand forest-goers’ knowledge, attitudes, and practices related to malaria prevention and care-seeking, and to identify key behavioral determinants of LLIN/LLIHN use and prompt care-seeking within 24 hours of developing a fever.
Methods
A mixed-methods study design consisting of a cross-sectional survey and qualitative in-depth interviews was implemented in two Cambodian provinces. Survey participants (N = 654) were recruited using respondent driven sampling. Interview participants (N = 28) were selected using purposive sampling. Findings from the survey were analyzed using univariate and bivariate analysis and multivariate weighted logistic regression. Interviews were coded and analyzed using thematic content analysis.
Results
All study participants had heard of malaria and 98% knew that malaria was transmitted by mosquitoes. LLIN/LLIHN ownership was high (94%). Although 99% of participants perceived LLIN/LLIHN use as an important malaria prevention measure, only 76% reported using one during their last visit to the forest. Only 39% of survey participants sought care within the recommended 24 hours from fever onset during their last febrile illness. The other 43% reported not seeking any healthcare during their last fever episode. In controlled regression models, perceived positive community social norms were significantly associated with LLIN/LLIHN use (OR: 2.7, 96%CI:1.99–2.64) and care-seeking within 24 hours of fever onset (OR: 1.7, 95%CI:1.00-2.88). Social support from other forest-goers was also significantly associated with LLIN/LLIHN use (OR: 4.9, 95%CI: 1.32–18.12).
Conclusions
Study findings are consistent with other studies on LLIN/LLIHN use and care-seeking behaviors. While rates of LLIN/LLIHN ownership were high among the study population, rates of use were not as high. More concerning were the delayed care-seeking behaviors. Social behavior change activities should incorporate social norms and social support as mechanisms for behavior change given the identified positive correlations with LLIN/LLIHN use and prompt care-seeking.
High-Temperature-and-Humidity Reduces Plasma Insulin and Gut Hormones through FXR Activation Accompanied by a Metabolic Compensatory Gut Microbiota
Authors: luo huanhuan , Zhang Yongliang , Guo Jianwen , Chen Song , Hu Zongren , Tang Jianbang , Zheng Yuhua , Xiao Jiedong , Wang Yao , Luo Yi , Mo Xiaoying , Wu Yalan 
Published: August 2022

Abstract

Environmental high-temperature-and-humidity (HTH) causes discomfort and is associated with a series of diseases; however, the underlying mechanism linking HTH and these diseases remains unclear. In this study, we demonstrated that HTH remarkably impaired the secretion of insulin, GLP-1, and ghrelin rapidly and persistently in mice. We then performed a longitudinal analysis of alterations to the gut microbiota following HTH exposure. There was no distinct alteration in the gut microbiota associated with the impaired secretion of insulin and gut hormones. The causal mediation analysis also excluded the predominant role of gut bacteria in insulin and gut hormone levels. In contrast, fecal microbiota transplant experiments confirmed that the gut microbiota decreased the plasma levels of glucose and triglyceride, likely through augmented thermogenesis. This implied that the gut microbiota compensated for the metabolic effect of insufficient insulin on glucose and lipid synthesis in HTH-treated mice. Furthermore, we revealed a profound alteration in bile acids (BAs) with characteristics of decreased tauro-conjugation rapidly following HTH exposure, and a reduced bile acid pool emerged gradually. Using proteomic analysis, we showed that multiple farnesoid X receptor (FXR)-targeted proteins, including BA transporters SLC10A2, FABP6, and OSTα/OSTβ, were enriched in the ileum 8 weeks after HTH exposure, thus implying an augmented reabsorption of bile acids in response to the reduced BAs pool. Considering the critical role of FXR in GLP-1 suppression as well as in controlling BA homeostasis, lipoprotein and glucose metabolism, hepatic regeneration, intestinal bacterial growth, and the response to hepatotoxins, our results revealed a link between environmental HTH, bile acids, gut microbiota, and energy metabolism. This study sheds new light on the pathogenesis of several ambient HTH-associated diseases.
CpG island status as an epigenetic alteration for NIS promoter in thyroid neoplasms; a cross- sectional study with a systematic review
Authors: Zarkesh Maryam , Arab Noman , Abooshahab Raziyeh , Heydarzadeh Shabnam , Sheikholeslami Sara , Nozhat Zahra , Jahromi Marziyeh Salehi , Fanaei Seyed Ahmad , Hedayati Mehdi 
Published: August 2022

Abstract
Background
Gene silence via methylation of the CpG island is the most common epigenetic modification in cancer. Aberrant DNA methylation interferes with active transcription and is also significantly associated with poor tumor differentiation and prognosis. Given the highly significant role of NIS in thyroid cancer differentiation, this cross-sectional study aimed to investigate the DNA methylation pattern in seven CpG islands (CpG1-7 including + 846, +918, + 929, +947, + 953, +955, and + 963, respectively) of the NIS promoter in patients diagnosed with PTC, FTC, and MNG compared with the matched non-tumoral tissues.
Methods
Thyroid specimens from 64 patients met the eligibility criteria, consisting of 28 PTCs, 9 FTCs, and 27 benign MNG cases. The expression of NIS mRNA was tested by qRT-PCR. The bisulfite sequencing PCR technique was performed was performed to evaluate the promoter methylation pattern of the NIS gene. Sequencing results were received in chromatograph, FASTA, SEQ, and pdf formats and were analyzed using Chromas. The methylation percentage at each position and for each sample was calculated by mC/ (mC + C) formula for all examined CpGs; following that, the methylation percentage was also calculated at each CpG site.
Results
NIS mRNA levels decreased in tissue samples of patients with PTC (P = 0.04) and FTC (P = 0.03) compared to their matched non-tumoral tissues. The methylation of NIS promoter was not common in PTC samples, but it was frequent in FTC (P < 0.05). Significant differences were observed in the methylation levels in the 4th (+ 947), 6th (+ 955), and 7th (+ 963) CpGs sites in the forward strand of NIS promoter between FTC tumoral and MNG tissues (76.34 ± 3.12 vs 40.43 ± 8.42, P = 0.004, 69.63 ± 3.03 vs 23.29 ± 6.84, P = 0.001 and 50.33 ± 5.65 vs 24 ± 6.89, P = 0.030, respectively). There was no significant correlation between the expression and methylation status of NIS in PTC and FTC tumoral tissues.
Conclusion
Perturbation in NIS promoter’s methylation individually may have a potential utility in differentiating MNG and FTC tissues. The absence of a distinct methylation pattern implies the importance of other epigenetic processes, which may alter the production of NIS mRNA. In addition, according to the reversibility of DNA methylation, it is anticipated that the design of particular targeted demethylation medicines will lead to a novel cancer therapeutic strategy.
Multiobjective nonlinear model predictive control of the microbial process
Authors: Srid N 
Published: August 2022

Abstract
A rigorous multiobjective nonlinear model predictive control is performed on the microbiome dynamic model that takes into account competition, amensalism, parasitism, neutralism, commensalism and cooperation. The optimization language pyomo is used in conjunction with the state of the art global optimization solver BARON. It is demonstrated that when the species that produces the required product is favorable to the other species there is an initial decrease in the required product before an increase happens.There has been a lot of research that describe the complex interactions of the many microbial organisms that exist in the microbial cluster in chemostats. The microbial consortium is a complex system with higher-order dynamic characteristics that are governed by commensalism, amensalism, co-operation, neutral behavior and parasitism. To explain these complex interactions, highly sophisticated nonlinear models have been developed. Such nonlinearities pose challenges to the performance of optimization and control tasks. In this article multiobjective nonlinear model predictive control for a dynamic microbiome model is performed using the modeling language Pyomo in conjunction with the state of the art global optimization solver BARON. The document is organized as follows. The background is followed by the description of the model equations and the nonlinear model predictive control strategy. This is followed by the discussion of the results and conclusions
A case report of robot-assisted laparoscopic left renal mucinous cystadenocarcinoma radical nephrectomy and review of literature
Authors: Ning Zikuan , Zhang Haoxun , Wang Bowen , Wang Yingwei , Liu Yiwen , Tao Boju , Zhang Guoling , Liu Hua , Wang Chunyang 
Published: August 2022

Abstract
Background: Mucinous cystadenocarcinoma (MC) of the kidney is a rare renal epithelial tumor originating from the renal pelvic urothelium. There are only a few published reports on MC. Due to its rare and unknown tissue origin, its diagnosis is difficult which almost can be diagnosed through the pathological method.Case presentation: In this case report, we report a female patient whose chief complaint was low back pain lasting for one month. The three-dimensional computed tomography scan of the urinary system detected approximately 7 cm of a left renal cystic mass. The renal cystic mass was diagnosed as MC after robot-assisted laparoscopic radical nephrectomy. The MC originated from the kidney after completing colorectal adenocarcinoma and ovarian adenocarcinoma.Conclusions: We reported a case of MC of the kidney which was a rare renal tumor. We not only aimed to present an unusual case of MC and review the previous literature on its pathology and differential diagnosis, but also used new method to treat this type of tumor.
Fuzzy c-Means Clusterization and ANN- MLP Prediction of Malign Breast Cancer in a Cohort of Patients
Authors: Massaro Alessandro , Costantiello Alberto , Magaletti Nicola , Cosoli Gabriele , Giardinelli Vito , Leogrande Angelo 
Published: August 2022

Abstract
A model based on to cluster and predict the presence of malign breast cancer. The algorithms are applied to an open dataset of 569 patients that have either benign or malign breast cancer. First the article presents a detailed data description that is followed by a correlation matrix analysis and a regression analysis to verify the select the best variables for the clustering analysis and the predictive model. The clusterization is realized with the fuzzy c-Means algorithms. The prediction is performed by the Artificial Neural Network (ANN) Multilayer Perceptron (MLP) algorithm showing the best performance in comparison with the results of other machine learning algorithms. The use of all the tools in a definite sequence is the model proposed in this work providing an auto consistent approach to automatize the risk calculus with a good efficiency. The proposed approach can be applied for other typologies of cancers.
Water Interactions – A Systemic View
Authors: Olsson Gustaf 
Published: August 2022

Abstract
During the last two decades, the interrelationship between water and energy has become recognized. Likewise, the couplings to food and agriculture are getting increasingly obvious and alarming. In the last year, a record number of extreme weather events have been reported from most parts of the world. This is a visible demonstration how consequences of climate change must be understood and alleviated. The impacts of economics, lifestyle, and alarming inequalities are becoming increasingly recognisable. If the wealthy part of the world is not willing not make radical changes it does not matter what the less wealthy half of the global population will do to meet the climate and resource crisis.
The purpose of the book is to demonstrate and describe how climate change, water, energy, food, and lifestyle are closely depending on each other. It is not sufficient to handle one discipline isolated from the others. This is the traditional “component view”. The book defines and describes a systems view. The communications and relationships between the “components” have to be described and recognized. Consequently, the development of one discipline must be approached from a systems perspective. At the same time, the success of the systems perspective depends on the degree of knowledge of the individual parts or disciplines. The catchphrase of systems thinking has been caught in the phrase, “The whole is more than the sum of its parts”. The idea is not new: the origin of this phrase is to be found already in Aristotle's Metaphysics more than 2300 years ago.
The text may serve as an academic text (in engineering, economics, and environmental science) to introduce senior undergraduate and graduate students into systems thinking. Too often education encourages a “silo” thinking. Current global challenges can't be solved in isolation; they depend on each other. For example, water professionals should have a basic understanding of energy issues. Energy professionals ought to understand the dependency on water. Economic students should learn more how economy depends on natural resources like energy and water. Economics must include the environmental impact and ecological ceiling of economic activities.
ISBN: 9781789062892 (print)
ISBN: 9781789062908 (eBook)
ISBN: 9781789062915 (ePUB)
Neuropharmacology of Alcohol Addiction with Special Emphasis on Proteomic
Approaches for Identification of Novel Therapeutic Targets
Authors: Mukherjee Sukhes , Ray Suman Kumar 
Published: August 2022

Abstract:
Alcohol is a generic pharmacological agent with only a few recognized primary targets. Nmethyl-
D-aspartate, gamma-aminobutyric acid, glycine, 5-hydroxytryptamine 3 (serotonin), nicotinic
acetylcholine receptors, and L-type Ca2+ channels and G-protein-activated inwardly rectifying K
channels are all involved. Following the first hit of alcohol on specific brain targets, the second wave
of indirect effects on various neurotransmitter/neuropeptide systems begins, leading to the typical
acute behavioral effects of alcohol, which range from disinhibition to sedation and even hypnosis as
alcohol concentrations rise. Recent research has revealed that gene regulation is significantly more
complex than previously thought and does not fully explain changes in protein levels. As a result,
studying the proteome directly, which differs from the genome/transcriptome in terms of complexity
and dynamicity, has provided unique insights into extraordinary advances in proteomic techniques that
have changed the way we can analyze the composition, regulation, and function of protein complexes
and pathways underlying altered neurobiological conditions. Neuroproteomics has the potential to
revolutionize alcohol research by allowing researchers to gain a better knowledge of how alcohol impacts
protein structure, function, connections, and networks on a global scale. The amount of information
collected from these breakthroughs can aid in identifying valuable biomarkers for early detection
and improved prognosis of an alcohol use disorder and future pharmaceutical targets for the
treatment of alcoholism.
DFT and Molecular Dynamics Simulation Studies of 4-(2-(2-(2-
Chloroacetamido)phenoxy)acetamido)-3-Nitrobenzoic Acid and 4-(2-
(Benzo[D]thiazol-2-ylthio)acetamido)-3-Nitrobenzoic Acid against Escherichia
coli ParE Enzyme
Authors: Yele Vidyasrilekha , Sanapalli Bharat Kumar Reddy , Mohammed Afzal Azam 
Published: August 2022

Background:
The increased emergence of multidrug-resistant bacterial strains is a continuous
life-threatening global problem. The best approach to prevent the reproduction and invasion of the pathogenic
bacteria is to inhibit the replication stage. The untapped molecular machinery involved in the replication
is ParE subunit of topoisomerase IV. In this study, compounds active against the ParE were selected.

Objective:
This study aimed to analyze the electronic parameters, chemical stability, kinetic stability, and
binding modes of the compounds.

Methods:
Density functional theory (DFT) and molecular electrostatic potential (MESP) calculations
were computed using Jaguar with a basis set of 6-31G**++ (B3LYP) in the gas phase. MD simulation was
performed for the 100 ns using Desmond available in Maestro to determine the stability and obtain an
insight into the molecular mechanism of E. coli ParE docked complexes.

Results:
From the DFT calculations, the energy gap ΔE -7.58 and -7.75 eV between the HOMO and
LUMO of both the compounds P1 (4-(2-(2-(2-chloroacetamido)phenoxy)acetamido)-3-nitrobenzoic acid)
and P2 (4-(2-(benzo[d]thiazol-2-ylthio)acetamido)-3-nitrobenzoic acid) explained the chemical and kinetic
stability of the system. MD results demonstrated the minimum fluctuations and conformational stability
of the protein structures.

Conclusion:
The P1 and P2 compounds were chemically and kinetically stable. Furthermore, MD results
demonstrated the stability and inhibitory action of the ligands dependent on hydrophobic, ionic and water
bridges than that of hydrogen-bonding interactions.