bluuebunny/crossref_metadata_2025_split huggingface dataset:
Review: Manfaat Feromon Sek Pada Ordo Lepidoptera Untuk Pengendalian Hama Lepidoptera
Authors: Banun Syariful 
Published: October 2021

Lepidoptera is one of the orders of the phylum Arthropoda Insecta class consist of butterflies that are active during the day and moths at night. Both of them belong to the order Lepidoptera and have an important role in the ecosystem. Beneficial role for plants as pollinating insects and disadvantaged role as pests of cultivated plants. An example is the fall armyworm Spodoptera sp attacking rice plants, Pteroma sp attacks sengon plants, and Helicoverpa armigera attacks red chili plants. One of the efforts to control pests is the use of sex pheromones. Several types of sex pheromones were identified, for example the sex pheromone of the cabbage leaf caterpillar Pluttela xylostella was )-11-hexadecenal, (Z)-11-hexadecenol, and (Z)-11-hexadecenyl acetate with ratio 8:18:100 and 10:1:90. Potato tuber borer (Phthorimaea operculella Zell.) sex pheromones is (E,Z)- 4,7-13 Ac (trans-4, cis-7-tridecadienyl acetate) and (E,Z,Z)-4,7,10-13 Ac (trans-4, cis-7, cis-10-tridecatrienyl acetate) with ratio 1 : 2,5. Using pheromones sex on agricultural land can significantly suppress Lepidoptera pest populations.
THE SPEED CALCULATING INCREASING METHOD OF THE MARKOV MODEL NETWORK NODE
Authors: Pustovoitov Pavlo , Okhrimenko Maxim , Voronets Vitalii , Udalov Dmitry 
Published: October 2021

The subject of this research is the image classification methods based on a set of key points descriptors. The goal is to increase the performance of classification methods, in particular, to improve the time characteristics of classification by introducing hashing tools for reference data representation. Methods used: ORB detector and descriptors, data hashing tools, search methods in data arrays, metrics-based apparatus for determining the relevance of vectors, software modeling. The obtained results: developed an effective method of image classification based on the introduction of high-speed search using hash structures, which speeds up the calculation dozens of times; the classification time for the considered experimental descriptions increases linearly with decreasing number of hashes; the minimum metric value limit choice on setting the class for object descriptors significantly affects the accuracy of classification; the choice of such limit can be optimized for fixed samples databases; the experimentally achieved accuracy of classification indicates the efficiency of the proposed method based on data hashing. The practical significance of the work is - the classification model’s synthesis in the hash data representations space, efficiency proof of the proposed classifiers modifications on image examples, development of applied software models implementing the proposed classification methods in computer vision systems.
Synthesis of ZnWO4/Cu2O Composites and Efficient Catalytic Properties for 4-nitrophenol Removal
Authors: Wang Ziwei , Fu Fengping , He Qian , Zhu Ting , Liao Fang 
Published: October 2021

Abstract
Preparation of ZnWO4/Cu2O composite materials by environmental protection experimental method. ZnWO4 nanorods were prepared by a simple hydrothermal method, and then ZnWO4/Cu2O composites were prepared by chemical precipitation method. The experimental method is simple and clean. Due to the unique structural characteristics of Cu2O, the wide band gap of ZnWO4 was improved and the ZnWO4/Cu2O composite with better catalytic performance was generated. Various tests show that the catalytic performance and stability of ZnWO4/Cu2O is not lower than that of ZnWO4. Among them, ZnWO4/Cu2O-5 has the best catalytic degradation effect. The Cu-H generated during the degradation of 4-nitrophenol (4-NP) prevents the oxidation of Cu+, and the neutral product 4-aminophenol (4-AP) is easier to fall off, which improves its recycling efficiency. These encouraging results show that the ZnWO4/Cu2O composites have great potential to degrade 4-NP.
Accumulation of As and Pb in vegetables grown in agricultural soils contaminated by historical mining in Zacatecas, Mexico
Authors: Muñoz Silvia Salas , Valdez Elvia Valdez , Castillo Jorge Armando Mauricio , Badillo Fátima Berenice Salazar , Carrillo Héctor René Vega , Salas-Luevano Miguel Angel 
Published: October 2021

Abstract
Historical mining activities are a source of environmental pollution that affects the food chain and the health of human beings. This study aimed to assess the accumulation of arsenic (As) and lead (Pb) in vegetables grown in agricultural soils contaminated by historical mining in Zacatecas, Mexico. The concentration of As and Pb in agricultural soil and edible parts of carrot (Daucus carota L.), garlic (Allium sativum L.), and pepper (Capsicum annum L.) was analyzed by atomic absorption spectrometry. The Pb pollution index and soil-vegetable bioconcentration factor were determined. The pH values of the farmland were moderately alkaline. The concentration of As in agricultural soil exceeds the permissible limit of Mexican and international standards representing public and environmental health risks. The Pb content in most soil samples they were low, only two soil sample exceeds the permissible limit of Mexican and international standards. The As and Pb content in edible parts of vegetables exceeded the national standards from various countries and values established by Codex Alimentarius (FAO-WHO). The highest As concentration was found in C. annum (111 mg/kg− 1) and A. sativum (100 mg/kg− 1). The highest concentration of Pb was in pepper fruits. The pollution index indicates that the soil sample is classified as polluted, and its quality is not suitable for agricultural use; thus, the vegetables cannot safely be consumed. Among vegetables, the higher BCF value was for As, ranging from 2.33 to 0.64, and the average for all vegetable samples was 1.01. According to the findings, the state and national agricultural and health authorities should not recommend cultivating vegetables in agricultural soil located in this region. Likewise, preventive measures must be taken to avoid consuming contaminated vegetables and certifying their safety grade.
Dietary Supplement of Anoectochilus Roxburghii (Wall.) Lindl Polysaccharides Ameliorates Cognitive Dysfunction induced by high fat diet via “Gut-Brain” axis
Authors: Fu Liya , Zhu Wanlong , Tian Dongmei , Tang Yong , Ye Yun , Wei Qiming , Zhang Chengbin , Qiu Wenqiao , Qin Dalian , Yang Xuping , Huang Yilan 
Published: October 2021

Abstract
Purpose Anoectochilus roxburghii (Wall.) Lindl polysaccharides (ARPs) has been reported to exhibit multiple pharmacological activities including anti-inflammatory and anti-hyperglycemia. The study tried to investigate the effect of ARPs on cognitive dysfunction induced by high fat diet (HFD).Methods C57BL/6J mice were given ARPs by dietary supplementation for 14-week. The effect of ARPs on cognitive function was determined by assessing the changes in spatial learning and memory ability, neurotrophic factors in hippocampus, inflammatory parameters, intestinal barrier integrity, and fecal microbiota. Results ARPs supplementation can effectively ameliorate cognitive dysfunction, decrease the expressions of Tau protein in hippocampus. Meanwhile, increased body weight, plasma glucose and lipids levels induced by HFD were abolished by ARPs treatment. It was revealed that the levels inflammatory cytokines and the LPS were remarkably higher in the HFD group than those in the chow diet group, but ARPs treatment reversed these detrimental effects. Furthermore, ARPs treatment restored the intestinal epithelial barrier as evidenced by upregulation of intestinal tight junction proteins (ZO-1 and occluding). Additionally, ARPs supplementation significantly decreased the relative abundance of eight bacteria genus such as Parabacteroides, which was negatively correlated with cognitive function.Conclusions These results suggest that ARPs might be a promising strategy for the treatment of cognitive dysfunction induced by HFD. Mechanistically, alleviation of cognitive dysfunction by ARPs was at least partially through regulating the “gut-brain” axis.
Assessing Variability in Segmentation Algorithms for 3D Printing at the Point of Care
Authors: Fogarasi Magdalene , Coburn James , Ripley Beth 
Published: October 2021

Abstract
Background: 3D printing (3DP) has enabled medical professionals to create patient-specific medical devices to assist in surgical planning. Anatomical models can be generated from patient scans using a wide array of software, but there are limited studies on the geometric variance that is introduced during the digital conversion of images to models. The final accuracy of the 3D printed model is a function of manufacturing hardware quality control and the variability introduced during the multiple digital steps that convert patient scans to a printable format. This study provides a brief summary of common algorithms used for segmentation and their principal features. We also identify critical parameters and steps in the workflow where geometric variation may be introduced. We then provide suggested methods to measure or reduce the variation and mitigate these risks.Methods: Using a clinical head CT scan of a mandible containing a tumor, we performed segmentations in four separate programs using workflows optimized for each. Differences in segmentation were calculated using several techniques.Results: Visual inspection of print-ready models showed distinct differences in the thickness of the medial wall of the mandible adjacent to the tumor. Residual volumes were calculated to generate pairwise agreement and disagreement percentages between each as the program’s model. For the relevant ROIs, statistically significant differences were found globally in the volume and surface area comparisons between final bone and tumor models, as well locally between nerve centroid measurements – major variance introduced due to workflow is highlighted in difference heat maps. As with all clinical use cases, statistically significant results must be weighed against the clinical significance of any deviations found.Conclusions: Statistically significant geometric variations can be introduced to patient-specific models from differences in software applications. The global and local variations should be evaluated for a full understanding of geometric variations. The clinical implications of these variations vary by anatomical location and should be evaluated on a case-by-case basis by certified clinicians. Understanding the basic functions of segmentation and 3D print preparation software is essential for users intending to adopt the use of patient-specific models for clinical intervention or decision making.
Evaluation of the Genotoxicity in Fish Erythrocytes to Diagnose the Water Quality of Two Amazonian Estuaries Using the Micronucleus Test and Comet Assay
Authors: DE OLIVEIRA CLAUDIA ANTONIA CAMPOS RODRIGUES , Souto Paulo Sergio dos Santos , Palheta Dulcideia da Conceição , Bahia Marcelo de Oliveira , Cunha Lorena Araújo da , Santos Maria de Lourdes Souza , Rodrigues Tatiane do Nascimento Medeiros , Bentes Bianca 
Published: October 2021

Abstract
Genotoxicity studies in coastal ecosystems have been a priority in Environmental Risk Assessment (ERA). This research aimed to study the genotoxicity by the micronucleus test and comet assay in two Brazilian Amazon estuaries (anthropized and control) using Plagioscion squamosissimus as a bioindicator. Blood samples were collected from 54 specimens. No significant genotoxic effects were detected in the cells analyzed, although the highest occurrence was observed in anthropized site. The percentage of genomic damage differed between the sites studied, being always higher in anthropizes site as well. Of the nucleoids analyzed in this site, on average 28±14.42% of the cells were classified in the highest damage class (4). The fish analyzed in the present study are direct influence of xenobiont agents capable of producing damage to the genetic material of aquatic organisms in both sites and, consequently, may bring consequences still little reported in studies of morphophysiological alterations in humans.
The Neuropeptide Y Single-nucleotide Polymorphism rs16147 Moderates the Effect of Alcohol Dependence on Depression
Authors: Wang Fan , Zhou Siyao , Chen Li , Shen Guanghui , Yang Fan , Sun Huankun , Hong Liuzhi , Zou Yang , Li Hui , Chen Yu-Hsin , Liu Yanlong , Wang Wei 
Published: October 2021

Abstract
Background: Previous studies suggest that alcohol dependence is associated with depression, however, the effect of alcohol dependence varies from individual to individual, which may be due to different genetic backgrounds. The interactions between alcohol dependence and different gene polymorphisms may finally shape the onset of depression. Neuropeptide Y (NPY), which can maintain homeostasis from high-stress stimulation, may protect individuals from the onset of depression. Here, we explored whether the NPY rs16147 regulates depression in individuals with alcohol dependence during the period of alcohol dependence withdrawal.Methods: A total of 455 males with alcohol dependence were recruited. The scale of MAST and SDS were respectively used to analyze the condition of alcohol dependence and depression. Genomic DNA was extracted from each blood sample and NPY polymorphisms were genotyped. The interaction between NPY rs16147 and alcohol dependence on depression was first analyzed. Then, region of significance analysis was used to confirm which model provided the best fit for the interaction (diathesis-stress or differential susceptibility). Finally, by using internal replication analyses, the accuracy and robustness of the interaction results were improved.Results: Alcohol dependence was positively correlated with depression. CC homozygotes of NPYrs16147 exhibited less depression when exposed to low alcohol dependence, but more depression when exposed to high alcohol dependence. Individuals with the T allele showed the opposite result.Conclusions: NPY rs16147 might be correlated with susceptibility for depression in males during alcohol dependence withdrawal. The findings support the differential susceptibility model.
Uncertainty Prediction of Mining Safety Production Situation
Authors: WU Menglong , YE Yicheng , HU Nanyan , WANG Qihu , TAN Wenkan 
Published: October 2021

Abstract
In order to explore the occurrence and development law of mining safety production accidents, analyze its future change trends, and aim at the ambiguity, non-stationarity, and randomness of mining safety production accidents, an uncertainty prediction model for mining safety production situation is proposed. Firstly, the time series effect evaluation function is introduced to determine the optimal time granularity, which is used as the window width of fuzzy information granulation (FIG), and the time series of mining safety production situation is mapped to Low, R and Up three granular parameter sequences, according to the triangular fuzzy number; Then, the mean value of the intrinsic mode function (IMF) is maintained in the normal dynamic filtering range. After the ensemble empirical mode decomposition (EEMD), the three non-stationary granulation parameter sequences of Low, R and Up are decomposed into the intrinsic mode function components representing the detail information and the trend components representing the overall change, and then the sub-sequences are reconstructed according to the sample entropy to highlight the correlation among the sub-sequences; Finally, the cloud model language rules of mining safety production situation prediction are created. Through time series discretization, cloud transformation, concept jump, time series set division, association rule mining and uncertain reasoning, the reconstructed component sequence is modeled and predicted by uncertainty information extraction. The accuracy of the uncertainty prediction model was verified by 21 sets of test samples. The average relative errors of Low, R and Up sequences were 9.472 %, 16.671 % and 3.625 %, respectively. The research shows that the uncertainty prediction model of mining safety production situation overcomes the fuzziness, non-stationarity and uncertainty of safety production accidents, and provides theoretical reference and practical guidance for mining safety management and decision-making.
Predictive Factors of Crucial Nutrition Impact Symptom Clusters in Patients With Head and Neck Cancer Undergoing Radiotherapy
Authors: Wang Yujie , Zhang Lichuan , Zhuang Bing , Zhang Tong , Jin Sanli , Huang Zhou , Zhao Dan , Zheng Baomin , Xiao Shaowen , Gong Liqing , Sun Yan , Lu Qian 
Published: October 2021

Abstract
Purpose: To identify crucial nutrition impact symptom (NIS) clusters related to both weight loss rate (WLR) and quality of life (QoL) in patients with head and neck cancer (HNC) receiving RT, and analyze their predictive factors.Methods: This prospective study enrolled 334 patients. At baseline (T1), we collected the demographics, clinical information, nutritional risk (Nutritional risk screening 2002, NRS 2002), nutritional status (Global Leadership Initiative on Malnutrition, GLIM), weight, and QoL before RT. At the third week (T2) and the end of RT (T3), we evaluated the severity and interference of NIS using the head and neck patient symptom checklist (HNSC), weight, and QoL. Exploratory factor analysis was used to extract the symptom clusters. Generalized estimating equations were used to analyze NIS clusters’ relationship with WLR and QoL, and cluster’s predictive factors.Results: Four NIS clusters were identified: RT-specific symptom cluster, upper gastrointestinal symptom cluster, psychological status cluster, and eating experience cluster. The former two NIS clusters had a negative impact on both WLR and QoL, so they were defined as crucial NIS clusters. Patients who were female, with older age, oral cavity cancer, had nutritional risk or were malnutrition at baseline were more likely to get severe RT-specific symptom cluster. Patients who were female, accepted intensive therapy were more likely to get severe upper gastrointestinal symptom cluster.Conclusions: Healthcare professionals should recognize patients at risk and intervene early, and give early nutritional management before RT to improve HNC patients’ NIS severity, nutritional status and QoL during treatment.
Discovery of Novel Inhibitors Targeting HDM2: Virtual Screening, Molecular Dynamics Simulation and Binding affinity predication
Authors: Cao Feng , Chen Liang , Xiong Feng , Liu Xingyong , Zhang Li 
Published: October 2021

Abstract
HDM2(human double-minute 2 protein) is an important drug target for tumor treatment. The main physiological function of HDM2 is to negatively regulate the tumor suppressor protein p53 and inhibit the normal biological function of p53, which leads to the occurrence and development of tumors. Therefore, the discovery of small molecules that can inhibit the activity of HDM2 is a promising cancer therapy. In this study, we reported a virtual screening as an effective strategy to discover potential HDM2 inhibitors from the Specs database. Then 100 ns all-atom molecular dynamics (MD) simulation and binding free energies calculated were carried out on the selected compounds. In conclusion, we reported seven prospective candidates with novel skeletons among them Hit4 is a potential HDM2 inhibitor and provided an insight into the mechanism of interaction of the compounds to HDM2 target.
Mortality Risk from COVID-19 among Unvaccinated Subjects with Autoimmune Phenotypes of Interstitial Lung Disease
Authors: Strykowski Rachel , Poonawalla Maria , Tyker Albina , Ventura Iazsmin Bauer , Lee Cathryn , Garcia Nicole , Guzy Robert , Jablonski Renea , Vij Rekha , Chung Jonathan , Strek Mary , Adegunsoye Ayodeji 
Published: October 2021

Abstract
Background: The impact of the SARS-CoV-2 virus on patients with interstitial lung disease (ILD) remains poorly understood. As patients with ILD often have severe underlying lung parenchymal involvement, and immunosuppressive therapy is common in this population, they are presumed to be at high risk for severe COVID-19 pneumonitis. We investigated differences between those with ILD who tested positive for the SARS-CoV-2 virus compared to those with ILD who did not, and explored the relationship with use of immunosuppressive therapy.Methods: In this retrospective cohort study, we identified patients evaluated at the University of Chicago in 2020 with a multidisciplinary diagnosis of ILD, and stratified by detection of the SARS-CoV-2 virus presence or absence on PCR. Demographic data, laboratory values, and pulmonary function testing values were obtained at time of ILD diagnosis. Immunosuppressive therapies received since ILD diagnosis were assessed, as was mortality. Variable comparisons were determined by two-sided t-tests, or chi-square tests as appropriate, and logistic regression models were fitted to assess the odds of death from COVID-19 using generalized linear models with maximum-likelihood estimation.Results: Of the 309 individuals with ILD in our cohort, 6.8% (n=21) tested positive for SARS-CoV-2. Those that were SARS-CoV-2 positive were younger (57 yrs vs 66 yrs; P=0.002), had baseline higher TLC (81% vs 73%, P=0.045), similar FVC (71% vs. 67%, P=0.37), and similar DLCO (71% vs. 62%, P=0.10) at baseline. Among patients with ILD and COVID-19, 67% had received immunosuppressive therapies compared to 74% of those with ILD without COVID-19. Those with ILD and COVID-19 were also more likely to have had a diagnosis of autoimmune related-ILD (CTD-ILD or IPAF) (62% vs 38%, P=0.029), and were more frequently hypoxemic (SpO2 ≤ 92%; 4% vs 19%; P=0.012) at ILD diagnosis than those without COVID-19. The majority of patients (62%) with COVID-19 had received lymphocyte-depleting immunosuppressive therapy prior to infection. Overall, the mortality hazard was highest amongst unvaccinated subjects with autoimmune related-ILD who had COVID-19 (OR=9.6, 95%CI=1.7-54.0; P=0.01).Conclusion: SARS-CoV-2 is prevalent in ILD, and may put those who are younger, with autoimmune ILD, and on immunosuppressive therapy at higher risk. Larger studies are needed to fully explore the relationship between ILD and immunosuppressive therapy in COVID-19.
Stability Analysis and Control Measures of Tunnel Face in Water-Rich Sandy Dolomite Stratum
Authors: Jiang Yifan , Zhou Ping , Zhou Feicong , Lin Jiayong , Li Jinyi , Lin Ming , Yongli Qi , Wang Zhijie 
Published: October 2021

Abstract
Revealing the conditions for the occurrence of sand gushing accidents in tunnels with water-rich sandy dolomite strata can help the tunnels to be constructed safely. In this paper, we found that sandy dolomite and the water environment are the key factors causing sand surges through geophysical prospecting at the tunnel face where 12,000 m 3 sand surge occurred. Through the flow-solid coupling model, the extrusion deformation at the tunnel face is the main deformation form in the tunnel of water-rich sandy dolomite strata. The influence of different factors on the deformation value of the tunnel face is from strong to weak: sandification degree, head height, and tunnel depth. Combined with the study of pressure arch characteristics of the model, the limit equilibrium theory considering seepage effects and pressure arch characteristics is proposed. We get that sand surges will occur in the tunnel in the intensively sandy dolomite strata where the head exceeds 80m. For the intensively sandy dolomite strata with head below 80m, the stability of the tunnel face is controlled by the degree of seepage damage. According to the reason of sand gushing, the comprehensive control measures consisting of risk identification by over-detection, double-layer close-packed pipe shed, grouting sealing technology and dewatering technology, and Milling and blasting combined construction method are proposed, and the effective control of tunnel working face is realized in practical application.