bluuebunny/crossref_metadata_2025 huggingface dataset:
Retailers, All Omni-Shoppers Are Not the Same
Authors: Viejo-Fernández Nuria
Published: November 2021

Taking as a basis the elaboration likelihood model (ELM), this paper evaluates how the way in which the customer searches, evaluates and compares information influences the development of omni-channel behaviour, as well as each of its most common practices, webrooming (researching products online but purchasing products in a physical store) and showrooming (visiting physical stores to check out products and then buying them online). The results obtained from a sample of 939 apparel shoppers using the database constructed for the Spanish retail sector by GfK reflect that compared to one-stop shoppers, omni-shoppers (without distinguishing specific typologies) spend more time and effort planning their decision-making. The combination of physical and virtual channels makes it easier for the consumer to be more involved in the shopping experience and to search, compare and evaluate specific information about the product and/or retailer before the final purchase. This more reflective behaviour in which more time is spent on the consumer journey and more information is handled is what ELM defines as the central information processing route. While it is true that the central information processing route predominates, it is concluded when analysing each of the omni-channel behaviours separately that webroomers are more likely to follow this route, analysing in depth all issues related to the product they want to buy. On the other hand, although showrooming behaviour cannot be associated with the same intensity to the central information processing route, nor can it be associated with a less planned customer journey, like that of e-shoppers who focus only on prices and cost savings associated with the purchase. Showroomers use the internet to learn about retailer-related aspects as well as other consumers’ opinions of the product before buying the product from the online store. Taking these results into account, managers should keep in mind the idea that webroomers and showroomers are as different as they are the same. Thus, both the internet and the physical store have to serve as both an information point and a shopping channel. Websites need to be usable and simple so that webroomers can get in-depth information about the retailer’s portfolio and showroomers can make a purchase in a few quick steps. On the other hand, the physical store will be a touchpoint where omni-shoppers will enjoy unique experiences, highlighting the sales force that will be key for webroomers and showroomers to develop a stronger bond with the firm and not shop at any other competitor retailer.
The Impact of Tacit Knowledge Acquisition on Firm Performance: The Moderating Effect of Redundant Resources
Authors: Liu Jing , Yu Fei
Published: November 2021

With the advent of knowledge economy, any enterprise can be regarded as providing “knowledge service” for customers. Through the process of tacit knowledge acquisition and innovation, enterprises will eventually transform tacit knowledge into the core competitiveness of enterprises. Based on the sample data of Chinese listed manufacturing companies for three consecutive years, this paper analyzes the impact of three ways of tacit knowledge acquisition (namely: employee training, research and development and market research) on enterprise performance, and introduces the factor of redundant resources to analyze its moderating effect on this relationship It is found that the three ways of tacit knowledge acquisition have significant positive effects on enterprise performance; different types of redundant resources (non precipitation redundant resources, precipitation redundant resources) strengthen and weaken the three positive relationship mechanisms. Based on the theory of resource-based view, it promotes the development process of knowledge acquisition and innovation under the knowledge economy of enterprises.
Opinion-Aware Retrieval Models Based on Sentiment and Intensity of Lexical Features
Authors: Bahrani Mohammad , Roelleke Thomas
Published: November 2021

Sentiment analysis has received much attention in Information Retrieval (IR) and other domains including data mining, machine learning algorithms and NLP. However, when it comes to big data, incorporating sentiment of words into IR models becomes even more important, and as yet no widely accepted standard exists for this task. The contribution of this paper is a framework for quantifying term frequency (TF) variants with sentiments. We propose models derived from the strength of lexical features to improve sentiment-based ranking.
Financial Flexibility During the Pre- and Post-Global Financial Crisis Periods
Authors: Cui Weihan
Published: November 2021

This paper investigates the determinants of financial flexibility of Japanese firms before and after the global financial crisis. In the pre-crisis period, growth opportunity has a positive effect on financial flexibility, but in the post-crisis period, this effect turns to negative and is especially strong for financially constrained firms. These results indicate that in normal time, the Japanese firms pursue financial flexibility for investment demand as argued in previous literature. During difficult time, investment environment deteriorates and investment declines, therefore the firms with less growth opportunity accelerate to accumulate financial flexibility, especially for financially constrained firms as they suffer more than others in such a period. Enhancing the investment environment can improve the efficiency of corporate capital and financial support from banking system may ease the stress of financially constrained firms in post-crisis period.
Application of Deep Reinforcement Learning Algorithm in Smart Finance
Authors: Chen Chunhui , Zhou Yichun
Published: November 2021

Finance is not only the lifeblood of an economy, but also the lever to adjust the macro-economy. A modern economy is a market economy and essentially a developed financial economy. Based on the analysis of the problems faced by traditional finance and the overview of smart finance, this study puts forward the application of deep learning combined with reinforcement learning in smart finance to solve the problems existing in financial activities for the first time, and verifies through experiments. The model has better data and information processing ability compared with the traditional financial analysis mode. It provides higher quality decision-making information and bring more benefits. Taking a bond rating report as an example, it usually takes about 2 hours for manual in-depth analysis and carding, while it only takes about 2 minutes to interpret and refine the report by using the deep reinforcement learning model. The model has a certain reference value to solve the problems of traditional finance.
Tax Risk Prediction of Real Estate Based on Convolutional Neural Network
Authors: Yin Meilin , Luo Ning
Published: November 2021

Risk management is an important link in tax administration. From China’s taxation practice, risk identification has become the weakness of tax management. With the complexity of massive data and the secrecy of modern transactions, traditional tax risk identification can no longer adapt to the development of the times. In the past, most risk researches focused on the basic machine learning stage. There are gaps in the application of deep learning in tax risk management. Based on the tax risk management indicators, this paper took the real estate industry as an example. We used convolutional neural network (CNN) to construct a tax risk prediction model. The experiment shows that a tax risk prediction model based on CNN has higher accuracy in tax risk identification and has a stronger ability to process tax data. The model has a certain reference value for tax authorities to reduce tax risk and tax loss.
Studies on Platform-Type Organization Design Based on Leadership Promotion
Authors: Ma Xin , Li Shuhui , Yang Wei , Yan Wenhao , Liu Aisheng , Tan Yanting
Published: November 2021

In the present scenario, continuous reforms in the social organization have become a new normal of maintaining the survival and development of enterprises and enhancing the competitiveness on the market, wherein the core of revolution is the change of management mode and leadership promotion. In this pursuit, the present study envisaged the innovation of organizational management mode of a subordinate secondary department of the Customer Service Center of the State Grid Corporation of China. Meanwhile, the revolution from the traditional bureaucratic organization to a novel platform-typed organization for the state-owned enterprises in internet evolution process was analyzed via the promotion of cadre leadership based on dual-requirements. The characteristic organization form with dual identities was built to better support the business development and compliance management, thereby achieving greater economic and social value creation for the enterprises.
Research on the Impact of Customer Perceived Value of Haidilao Hot Pot on Consumer Behavior
Authors: Li Qiong , Li Anlan
Published: November 2021

The paper takes Haidilao Hot Pot as the object through the collection of first-hand data, and analyzes the relationship between customer perceived value in functional value, emotional value, convenience value and social value on consumer behavior. Through factor analysis and variance analysis, it can be found that the four dimensions of customer perceived value have a significant positive impact on customer satisfaction, and customer satisfaction also has a significant positive impact on customer loyalty. Among them, functional value is the most important and obvious factor influencing customer purchasing decisions. The paper collects relevant data to complete the relevant content in the case of a global epidemic, hoping to provide certain guidance for the market-oriented adjustment of catering companies that are most affected by the epidemic.
Study on Calculation Method of Contribution Rates of Water Pollution of Trans-Boundary Rivers
Authors: Zeng Xianzhong , Hao Shouning
Published: November 2021

The calculation of the contribution rates of the upstream and downstream administrative regions to water pollution of trans-boundary rivers is an important research subject. In this paper, a method based on the water quality mathematical model was proposed, which includes three steps: (1) Establishment of a model for a trans-boundary river; (2) Analysis of the pollution impact on the water quality at the control sections of the trans-boundary river; and (3) Calculation of the contribution rates to water pollution of the trans-boundary river. Taking Zhaosutai River, a trans-boundary river flowing through Jilin and Liaoning Provinces, as the study case, the contribution rates of these two provinces to water pollution of the river were determined by this method. The results showed that for the COD concentrations in the Control Sections of Laoqujiadian, Qijiazi and Dasijiazi of the main stream in January 2017, the contribution rates of the upstream pollution loads we 96.2%, 81.0% and 70.5%, respectively. The method of calculating the contribution rates to water pollution of trans-boundary rivers based on the mathematical water quality model proposed in this paper quantitatively can be used to identify the responsibilities of upstream and downstream administrative regions for water pollution of trans-boundary rivers.
Research on and Application of Tunnel Structure Defects Prediction Using Machine Learning Methods
Authors: Shi Bo , Su Hui , Du Xu , Jiao Bao , Wang Lin
Published: November 2021

With the rapid development of underground engineering in China, more metro tunnels are being constructed, the mileage of subway tunnels is increasing, and the corresponding problems of tunnel structure diseases are becoming more prominent. At present, the treatment of tunnel structural diseases mainly relies on manual inspection and identification, and research on defects prediction is still lacking. Because of the complexity of the factors affecting tunnel structure diseases, it is difficult to analyze the causes and development trend of the diseases comprehensively by manual analysis. Fortunately, machine learning methods have gained popularity in classification and regression tasks in recent decades. Many algorithms, such as decision tree algorithms, the random forest algorithm, and XGBoost, have been applied in fields including finance, engineering, and transportation. This study aimed to analyze the prediction effect of machine learning models by feeding 68055 segment lining rings of six subway lines in a city. According to the disease records from 2014 to 2016 and the corresponding convergence and characteristic data, defect conditions in 2017 were predicted and compared with real defect conditions in 2017. The accuracy rates and F1 values of the predicted results were all above 80%. The prediction results can help tunnel maintenance departments and relevant government regulators make auxiliary decisions to control tunnel structure diseases, and can help them focus on the tunnel interval of severe diseases to clarify the development trend of tunnel disease.
Study of Intelligent Search Engine of Energy Industry Based on BERT Semantic Model
Authors: Li Jiayang , Li Hao , Yan Ni , Chen Ziyun
Published: November 2021

Based on a variety of heterogeneous data of energy enterprises, this paper provides an intelligent search method based on the Bert preprocessing model. This paper provides a method of intention recognition based on the combination of template matching and text classification, which involves machine learning, deep learning and other fields of artificial intelligence. First, the preprocessing model Bert is used to rewrite the natural language into a vector based on syntax. Then, the information extraction technology is used to extract the structured and machine understandable information from the problem to provide parameters for intention processing. The intention recognition technology used in this paper first uses template matching method, and then uses text classification method. Finally, the effects of various methods are compared through experimental examples.
Developing a Decision Support System for Water Resources Dispatching
Authors: Feng Yu , Xu Jijun , Sheng Weirong , Chen Jitian , Hong Yang
Published: November 2021

Contradiction between water demand and water supply have a huge impact on social and economic development. This paper presents the development of a water resources dispatch decision support system. The system integrates models related to water dispatch such as streamflow forecast model, water allocation model and water dispatch model. Each model runs as an independent service and is registered in the model platform. The model platform interacts with the service layer and data layer through the model adapter. The model adapter is designed for converting the model input data sent by the service layer and the basic data and observation data queried by the data layer into the format required by the model. In case study, we took the Fu River Basin as an example to demonstrate an application of the system. The system realizes the complete process of data collection, streamflow forecast, water demand declaration, water distribution and water dispatch. User can get the recommended operation plan of the reservoir and the corresponding water supply result through the user interface. Process variables can also be viewed through the system, such as streamflow forecast results and water distribution results, etc. The proposed system can provide technical support and assistance for the decision makers, which also provide an effective demonstration for water resources management in other rivers.
Causal Reasoning Model Based on Medical Knowledge Graph for Disease Diagnosis
Authors: Xu Ze , Wang Huazhen , Liu Xiaocong , He Ting , Gou Jin
Published: November 2021

In view of the non-interpretability of disease diagnosis models based on deep learning, a knowledge reasoning model based on medical knowledge graph for intelligent diagnosis is proposed. Given the patient symptom set, the co-occurrence of the patient and the disease is calculated, then the patient suffering from one disease is calculated. Based on the dynamic threshold value, the final disease diagnosis result of the patient is outputted. According to the symptoms of patients and the symptoms in the knowledge graph, the causal reasoning of the disease diagnosis is interpretable. Experiments on 145,712 pediatric electronic medical records in Chinese show that the proposed model can predict diseases with interpretability, and the accuracy reaches-82.12%.
The Larger the Better: Analysis of a Scalable Spectral Clustering Algorithm with Cosine Similarity
Authors: Chen Guangliang
Published: November 2021

Chen (2018) proposed a scalable spectral clustering algorithm for cosine similarity to handle the task of clustering large data sets. It runs extremely fast, with a linear complexity in the size of the data, and achieves state of the art accuracy. This paper conducts perturbation analysis of the algorithm to understand the effect of discarding a perturbation term in an eigendecomposition step. Our results show that the accuracy of the approximation by the scalable algorithm depends on the connectivity of the clusters, their separation and sizes, and is especially accurate for large data sets.
Unreadable Segment Recognition of Single-Lead ECG Signals Based on XGBoost: Fuision of Shannon Energy Envelope and Empirical Mode Decomposition
Authors: Xie Hanshuang , Yan Jiayi , Zhu Huaiyu , Cao Qineng , Liu Yamin , Pan Yun , Wu Fan
Published: November 2021

The quality of ECG signals is commonly affected by severe noise, especially for the single-lead ECG signals acquired from long-term wearable devices. Recognizing and ignoring these interfered signals can reduce the error rate of automatic ECG analysis system, and in addition, improve the efficiency of cardiologists. Based on XGBoost classifier, we propose an unreadable ECG segment recognition method using features extracted through Shannon Energy Envelope (SEE) and Empirical Mode Decomposition (EMD). An unreadable CarePatchTM ECG patch database is established, containing 8169 readable segments and 6114 unreadable segments with a length of 10 seconds. The XGBoost with 5-fold cross-validation is applied and obtained an accuracy of 99.51+/-0.15%. In conclusion, SSE and EMD features contribute to the unreadable segments recognition and alleviate the misdiagnosis of abnormal rhythms.
Investigating the Impact of Carbon Subsidy Policy on the Decision-Making of Remanufacturing Supply Chain
Authors: Zhang Yu , Ma Tianshan , Khan Syed Abdul Rehman
Published: November 2021

This research is to investigate the decision making of the members of remanufacturing supply chain under the government involvement. Different scenarios are analyzed in this research, and it is found that the subsidy for carbon emission reduction can increase the WPs (waste products) reusing. When the recycler participates in remanufacturing supply chain, the cost of remanufacturer will be shared and through centralizing the decision making, the carbon emission reduction will be enhanced and the whole supply chain’s profit will decrease. So it is suggested that the government need to adjust the subsidy for carbon emission reduction in terms of the quality level of WPs and the cooperation between recycler and remanufacturer is suggested, especially in the high-value waste remanufacturing supply chain.
Design of computer aided translation system for English communication language based on grey clustering evaluation
Authors: Liang Jingjing , Ma Pianpian
Published: November 2021

In order to facilitate communication and communication, this paper studies the optimization of the current computer-aided translation system, and proposed a design method of English communication language computer-aided translation system based on grey clustering evaluation. By optimizing the hardware configuration and algorithm function keys of the system, the English translation mechanism of multilanguage interaction, the design idea of editing and modifying after English translation and knowledge database management are realized, and the system function framework was constructed, including the system transceiver unit, automatic translation unit, manual correction unit, task management unit and memory management unit, the performance of task management unit and memory management unit is analyzed. On this basis, the specific work flow of the design system mainly includes the English translation service flow integrating multilanguage interaction and the project-based multilanguage interaction English translation service flow design, which realizes the English translation online assistance under the multilanguage interaction environment. The experimental results show that the design system has the advantages of high online translation speed, pronunciation success rate and multilanguage translation success rate.
Evaluate the locations for smart waste bins using BWM and WASPAS methods under a probabilistic linguistic environment
Authors: Ma Yanfang , Xu Weifeng , Wang Xiaoyu , Li Zongmin , Lev Benjamin
Published: November 2021

The decreasing resources of the earth and the deterioration of the environment are offering new challenges for handling waste management practices. The establishment of the smart waste bins plays an important role in promoting the development of waste classification and treatment fundamentally. We developed the evaluation system for the location selection problem of smart waste bins. Considering the uncertainty in the location selection of smart waste bins, the probabilistic linguistic term sets (PLTSs) are selected to express the evaluation information. Because of the excellent performance in weight-determing, the best worst method (BWM) is chosen to get the weight of criteria. While the weighted aggregated sum product assessment (WASPAS) method could handle both the qualitative and quantitative information, which are considered to derive the final ranking of the alternatives. This paper proposed a new group multi-criteria decision making approach integrating the BWM and the WASPAS with probabilistic linguistic information. Finally, in the empirical example, a sensitivity analysis shows that the proposed method is stable, a comparison analysis with PL-TOPSIS, PL-VIKOR, and PL-TODIM reflects its effectiveness and rationality, and the managerial implication verifies its usefulness and practicability, which also give guide to the company, government and resident.
Designing DEMATEL method under bipolar fuzzy environment
Authors: Deva N. , Felix A.
Published: November 2021

Bipolar fuzzy graph is more precise than a fuzzy graph when dealing with imprecision as it is focusing on the positive and negative information of each vertex and edge. Nowadays, researchers have utilized bipolar fuzzy graphs in decision-making problems. Bipolar fuzzy competition graphs aid to compute the competition between the vertices in bipolar fuzzy graphs. To depict the best competitions among the competitions of bipolar fuzzy graphs, the best bipolar fuzzy competition graph can be defined using bipolar fuzzy α-cut and the strength of the competition between the vertices can also be determined. Fuzzy graphs are used well to frame modelling in real-time problems. In particular, when the real-time scenario is modelled using the bipolar fuzzy graph, it gives more precision and flexibility. At present, researchers have focused on decision-making techniques with bipolar fuzzy graphs. The DEMATEL method is one of the powerful decision-making tools. It effectively analyses the complicated digraphs and matrices. The fuzzy DEMATEL technique can convert the interrelations between factors into an intelligible structural model of the system and divide them into cause and effect groups. Therefore, this study attempts to design the DEMATEL method under the bipolar fuzzy environment. To illustrate this proposed technique, the problem of identifying the best mobile network is taken. With this method, the benefits and drawbacks of networks are measured and a complicated bipolar fuzzy directed graph can be transformed into a viewed structure.
The relationship between emotional intelligence, personality traits and safety behaviors in metal industries workers: Confirmatory factor analysis
Authors: Ghasemi Rana , Abedinlou Rezvan , Alimohammadi Iraj , Abolghasemi Jamileh , Ebrahimi Vida , Rahimi Jamshid , Taheri Ehsan , Kharghani Moghadam Seyedeh Melika , Ebrahimi Hossein
Published: November 2021

BACKGROUND: Human errors cause accidents in the workplace. Screening workers at employment can prevent future accidents from happening. Two important tools that can be helpful in screening are determining the emotional intelligence score and personality traits score of the workers. OBJECTIVE: The purpose of this study was to evaluate the relationship between emotional intelligence, personality traits and safety behaviors in metal industries workers. METHODS: This is a cross-sectional survey. Confirmatory factor analysis was performed to determine the relationship between the components of emotional intelligence, unsafe behaviors, and personality. To collect data for this study, Five-Factor Goldberg questionnaire, Bar-On Emotional questionnaire and Safety behavior questionnaire were used. The collected data were entered into software (SPSS version 22) and refined. RESULTS: The results of this study showed that there was a significant positive correlation between personality traits, emotional intelligence and safe behaviors (p-value = 0.000). The confirmatory factor analysis showed that personality traits influence safe behaviours. Also, studies have shown that emotional intelligence has a positive effect on safe behaviours. The amount indicators of goodness of fit (GFI), Comparative Fit index (CFI), Tucker-Lewis index (TLI) and root mean square error approximation (RMSEA) were 0.944, 0.970, 0.965 and 0.061, respectively. CONCLUSIONS: The results of this study suggest that personality traits and emotional intelligence influence safe behaviours in the workplace. Employers can use these two tools in the employment phase and prevent future human-related accidents.
Using health and safety monitoring routines to enhance sustainable employability
Authors: Näring Gérard , van Scheppingen Arjella
Published: November 2021

BACKGROUND: Traditionally, the field of health and employment has mainly focused on preventing unhealthy work practices. Nowadays, there is increasing interest in also promoting a positive work environment. It is relevant to investigate how organizations can integrate both approaches into their work practices. We posit this could promote the sustainable employability of employees. OBJECTIVE: We explored whether a tool that monitors health and safety risks can also be used to create a positive work environment. METHODS: Almost 600 employees completed the Dutch version of the Copenhagen Psychosocial Questionnaire (COPSOQ). We used regression analyses to investigate the associations between dimensions of work and employees’ outcome (stress and sustainable employability). We also validated the Dutch version of this questionnaire by adding Sustainable employability and Vigor. RESULTS: A theory-based selection of dimensions explained 32%of the variance in Sustainable employability, whereas a set of established predictors explained 16%in Stress. Confirmatory factor analyses indicated a good fit of the COPSOQ to the hypothesized model. Reliabilities of the dimensions were satisfactory to good. CONCLUSIONS: Our study indicates that organizations can use COPSOQ both as a tool to monitor risk, as well as a means of promoting positive work practices.
Cardiac energetics alteration in a chronic hypoxia rat model: A non-invasive in vivo 31P magnetic resonance spectroscopy study
Authors: Yuan Xiaohan , Zhu Xiaomei , Chen Yang , Liu Wangyan , Qian Wen , Xu Yi , Zhu Yinsu
Published: November 2021

BACKGROUND: Energetics alteration plays a crucial role in the myocardial injury process in chronic hypoxia diseases (CHD). 31P magnetic resonance spectroscopy (MRS) can investigate alterations in cardiac energetics in vivo. OBJECTIVE: To characterize the potential value of 31P MRS in evaluating cardiac energetics alteration of chronic hypoxic rats (CHRs). METHODS: Twenty-four CHRs were induced by SU5416 combined with hypoxia and divided into four groups according to the modeling time of one, two, three and five weeks, respectively. Control group also contains six rats. 31P MRS was performed weekly and the ratio of concentrations of phosphocreatine (PCr) to adenosine triphosphate (ATP) (PCr/ATP) was obtained. In addition, the cardiac structure index and systolic function parameters, including the right ventricular ejection fraction (RVEF), right ventricular end-diastolic volume index (RVEDVi), right ventricular end-systolic volume index (RVESVi), and the left ventricular function parameters, were measured. RESULTS: Decreased resting cardiac PCr/ATP ratio in CHRs was observed at the first week, compared to the control group (2.90±0.35 vs. 3.31±0.45, p = 0.045), while the RVEF, RVEDVi, and RVESVi decreased at the second week (p < 0.05). The PCr/ATP ratio displayed a significant correlation with RVEF (r = 0.605, p = 0.001), RVEDVi, and RVESVi (r = –0.661, r = –0.703; p < 0.001). CONCLUSIONS: 31P MRS can easily detect the cardiac energetics alteration in a CHR model before the onset of ventricular dysfunction. The decreased PCr/ATP ratio likely reveales myocardial injury and cardiac dysfunction.
Effective Error Control Scheme in Real-Time Wireless Sensor Networks
Authors: Raji Ayodele Kamaldeen , Aremu Idris Abiodun , Asaju-Gbolagade Ayisat Wuraola , Asaju-Gbolagade Ayisat Wuraola , Gbolagade Kazeem Alagbe
Published: November 2021

Wireless Sensor Networks (WSNs) subsist on network of huge numbers of hubs that are distributed in unfriendly environments used for habitat monitoring and to observe changes in phenomena. These hubs are susceptible to faults such as energy exhaustion, hardware glitches, communication link errors, malicious attacks, which may lead to errors in message delivery. However, these systems are typically utilized to convey vital information in remote places. Thus, efficient error identification and correction is thereby required in order to maintain the accuracy of the received message. This paper aimed at designing high speed reverse converter for effective error control codes using Redundant Residue Number System in order to enhance the accuracy of messages delivered for real-time WSNs. In order to attain a greater error correction, a reverse converter which was based on Mixed Radix Conversion was designed for the moduli set {2n+1-1, 2n, 2n-1}. In addition to this moduli, an extra redundant moduli set{2n+1+3, 22n - 3} is also designed for higher correctness. For correction and identification of corrupted values in the original data, maximum likelihood was used. The results obtained show that the suggested moduli set offers low energy utilization and consistency of the received message in real time WSNs.
Influence of the ratio of grinding mixture of wheat grain and hemp seeds on coarse-forming capacity of wheat-hemp grain mixture
Authors:   Moscow State University of Food Production, Kandrakov R.H. , Terent’ev S.E. ,   Smolensk State Agricultural Academy, Labutina N.V. ,   Moscow State University of Food Production, Kusova I.U. ,   Moscow State University of Food Production, Ryndin A.A. ,   Moscow State University of Food Production
Published: November 2021

The results of the study of the effect of different ratios of the grinding mixture of wheat grain and hemp seeds on the cereal-forming ability of intermediate grinding products are presented. Determination of the influence of different ratios of the grinding mixture of wheat grain and hemp seeds on the cereal-forming ability of intermediate grinding products was carried out using a laboratory mill MLP-4 with cut rollers. According to the results of the studies, it was established that the addition of 5% hemp seeds to the grinding wheat-hemp grain mixture, the yield of intermediate grinding products was 83,2%, when 7,5% of hemp seeds, the output of intermediate grinding products was 81,5%, when adding 10% hemp seeds, the yield of intermediate grinding products was 80,7%. When grinding the original control grain of wheat of the «Timiryazevskaya Yubileinaya» variety, the yield of intermediate grinding products was 83,7%. It was revealed that the addition of 5% to 10% hemp seeds to the grinding wheat-hemp mixture leads to a decrease in the yield of intermediate grinding products, from which, after grinding on grinding systems, wheat-hemp flour will be obtained, from 0,5% to 3% compared to control wheat.
Flour fortification efficiency at the flour mill
Authors:   All-Russian Scientific and Research Institute for Grain and Products of its Processing – Branch of V.M. Gorbatov Federal Research Center for Food Systems of RAS, Vanina L.V.
Published: November 2021

The article discusses the process of flour fortification with vitamin and mineral complexes. The ways of implementation and expansion of the fortified flour production program are analyzed and indicated. The analysis conducted by the authors showed the effectiveness of introducing premixes into flour precisely at a flour mill.
MANAGEMENT OF DIAPHYSEAL FRACTURES OF TIBIA BY USED OF CLOSED REAMED INTERLOCKING NAIL
Authors: Kumar Marut Nandan , Ranjan Priya
Published: November 2021

Background: Fracture shaft of tibia is one of the common fracture encountered by the orthopaedic surgeons in their daily practice, Many patients come to Department of Orthopaedics with tibial fractures. It is one of the common injuries occurring in adult agegroup.

Material and Methods: A total of 30 patients with closed tibial fractures underwent surgery for the fracture fixation with intramedullary interlocking nail in the Department of Orthopaedics, Patna medical college and Hospital Patna Bihar. Duration of Two years. Patients were selected irrespective of sex.

Conclusion: Intramedullary interlocking nail is the reliable, versatile and effective treatment for closed tibial fractures. The advantage of rapid rehabilitation and relatively few complications serves to recommend this procedure.

Keywords: intramedullary interlocking nail, complications, rehabilitation.
Revealing and identification of isoniazid metabolites in beef meat in case of poisoning of service dogs
Authors: Lunegov A. M. , Ovsyannikov A. G. , Lunegova I. V.
Published: November 2021

Relevance. Every year, dog breeders are faced with the problem of acute poisoning of dogs. Various toxic compounds can be the cause of dog poisoning. The huge variety of potentially toxic substances makes it difficult to identify the source of poisoning. Service dog breeding also faces this problem, as a result of which it is necessary to have information about the possibility of poisoning service dogs, as well as methods for detecting toxic substances and preventing further poisoning. In service dog breeding, they mainly use feed made by cooking gruel soup in boilers in the feed kitchens of nurseries. Due to the fact that there were cases of poisoning of service dogs in the Vyborg district of the Leningrad region, we conducted research to identify toxic compounds in beef from which feed was made in the feed kitchens of nurseries.Methods. The studies were carried out at the Institute of Toxicology of the Federal Medical and Biological Agency using an Acguity UPLC I-class ultra-performance liquid chromatograph with a spectrophotometric detecto and an Acguity UPLC H-class ultraperformance liquid chromatograph with a Xevo TQD tandem mass spectrometer. Sample components were identified by electronic spectra and mass numbers.Results. According to the results of the study, the presence of isoniazid metabolic products in the form of isonicatinic acid, as well as conjugates of isoniazid with sulfuric, acetic and glucuronic acids, was found in beef meat.The obtained results of the study of the chromatographic profiles of aqueous extracts and the chemical identification of their components in the products that are used for the preparation of food for service dogs make it possible to accurately determine and identify toxic substances with a wide variety of them. Thus, in order to prevent the loss of service dogs, it is necessary to control the newly received food and feed in order to prevent poisoning.
Peculiarities herb-bunchgrass steppes of Western Predcaucasia
Authors: Ashibokova L. R. , Lapenko N. G.
Published: November 2021

Relevance. The article presents the materials of the geobotanical examination of the virgin steppes of the Western Predcaucasia. The relevance of the study is due to the modern state of natural grass stand, which is under constant anthropogenic influence.Methods. The research points are located in the southwestern part of the Stavropol Territory and the northeastern part of Karachay-Cherkessia, within the absolute heights of 500–880 m. The description of vegetation and its analysis was carried out on ten accounting sites (10x10 m) according to methods generally accepted in geobotany.Results. It was revealed that in the grass stand the grass familyhas on average 17,5% (its weight fraction is 70–80%). In the formation of grass stand plant associations, the leading role belongs to the dominant sod steppe-grasses: Stipa pulcherrima, Festuca valesiaca, Festuca rupicola, Bothriochloa ischaemum, etc. Legumes (Medicago romanica, Trifolium pratense, Onobrychis arenaria) are the main source of protein for animals, they are diverse and have on average 10,8%, but in weight terms they are inferior to sod steppe-grasses. The flora of the studied steppes is represented by a number of economically valuable plants. These are sod steppe-grasses — the creators of the main feed mass of the steppe. They are also sources of a protein component for animals. But the main source of protein in the steppe grass stands are representatives of the legume family (species Trifolium, Medicago, Onobrychis, etc.). Nectariferous plants (Filipendula vulgaris, Galium ruthenicum, Echium russicum) and drug plants (Adonis vernalis, Glycyrrhiza glabra, Thymus marschallianus, etc.) are found in the steppe. The spectrum of life cycles of the flora is noteworthy. There is a high percentage of perennials — from 66,7 to 97,8%. This fact indicates that the axes of ecological niches are packed relatively tightly by perennials — persistent competitors of annual plants (more often weeds). Until mid-summer the generative stage of development of wild plant species reaches on average 80%. Their gene pool can be recommended for the restoration of low-productive steppe grass stand, as well as for use in selection work.
The reaction of soybean varieties to the use of a biological product
Authors: Sergeeva V. A. , Muravyova I. S. , Ignatova A. V. , Penskoy S. Yu. , Myrmyr M. N.
Published: November 2021

Relevance. In the conditions of the Central Black Earth region in the farm “Yaroslav the Wise” of the Starooskolsky district of the Belgorod region, five soybean varieties (Belgorodskaya 48, Bara, Victoria, Opus and Kassidi) were studied on nutritional backgrounds — without seed inoculation and without biological treatment (control), using only inoculation and with the use of a biological product against the background of seed inoculation.Methods. The experimental conditions differed in rainfall patterns and the amount of heat, their distribution was especially uneven in 2020, that had a significant negative effect on the yield of all studied soybean varieties. The soil of the experimental plot is typical medium-thick chernozem, medium-humus, heavy loamy texture. The advantages of the soybean variety Opus, the plants of which formed a large height, air-dry mass, leaf area, a greater number and mass of nitrogen-fixing nodules on the roots, were revealed. Plants of this variety provided a higher yield level in all studied agro-backgrounds.Results. The yield varied from 32,5 centners per hectare (control) to 36,2 centners per hectare (when using the biological product Biogor, Zh). The content and collection of protein were also higher in the Opus cultivar in all the studied agrophones. In comparison with the control, the protein content was higher by 4% (background — control), by 4,9% — with inoculation of seeds and by 6,1% — when using a biological product. The same pattern is observed when assessing the oil content in seeds and collecting protein and oil per hectare of soybean sowing. Inoculation of seeds with soybean inoculant Nitragin, KM improved plant development and increased productivity, as well as the profitability of cultivation of the studied soybean varieties, which was higher when using a biological product against the background of seed inoculation by an average of 27%, while with only inoculation — by only 15,1%.
"Cumplimiento del protocolo de pacientes con trastornos hipertensivos gestacionales que acuden al hospital Marco Vinicio Iza de la ciudad de Lago Agrio, durante el periodo de septiembre del 2011 a febrero del 2012"
Authors: Nasamués Bustos Wilmer Ramiro , Mafla Ayala Norma Yadira
Published: November 2021

El hospital Marco Vinicio Iza de la ciudad de Lago Agrio, atiende a una gran demanda de pacientes gestantes, existiendo una alta incidencia de trastornos hipertensivos gestacionales. El presente estudio se lo realiza para investigar el cumplimiento del protocolo del manejo de pacientes con trastornos hipertensivos gestacionales en esta entidad de salud. Para llevar a cabo este trabajo de investigación, se realizó un estudio cuantitativo, descriptivo, retrospectivo, y de corte transversal, en los servicios de emergencia, centro quirúrgico-obstétrico y de ginecología. Para obtener los resultados de la investigación se realizaron encuestas al personal profesional y auxiliar de enfermería. Se utilizó un instrumento para la recolección de datos en el cual constan las principales actividades del protocolo del manejo en pacientes con esta patología. Mediante la recopilación de datos y la realización de los análisis de estudio, se logró determinar que personal que se encuentra al cuidado directo de las pacientes con preeclampsia, eclampsia y síndrome de Hellp, no aplican adecuadamente el protocolo del Ministerio de Salud Pública, debido al déficit de conocimiento, carencia de material, insuficiente espacio fisico y falta de la aplicación del Proceso de Atención de Enfermería.
Caracterización técnico-administrativa de la gestión de enfermería en el hospital "Marco Vinicio Iza", de la ciudad de Lago Agrio, periodo septiembre 2012 - febrero 2013
Authors: Enríquez Tobar Fabricio Stalin , López Fuertes Ruth Amanda
Published: November 2021

El objetivo de la investigación fue demostrar el nivel de cumplimiento en la gestión técnico - administrativa de enfermería de la Unidad de Gestión de Enfermería del Hospital "Marco Vinicio Iza", que garantice una adecuada atención al paciente y la satisfacción profesional, dando cumplimiento a reglamentos y estatuto, que se establecen en esta Institución de salud y evitar los problemas administrativos poco coherentes. Se realizó un estudio investigativo de tipo cualitativo y cuantitativo, además se evalúo de forma minuciosa al personal de enfermería a través de técnicas de investigación, como la encuesta y la observación, las cuales estuvieron encaminadas a obtener información sobre el correcto cumplimiento de las normas técnico - administrativas establecidas por esta Institución.Con la información recopilada se determinó que existe un déficit en la administración y coordinación de la Unidad de Gestión de Enfermería (UGE), lo cual se refleja en el desempeño del personal de enfermería que labora en esta institución de salud, al observar que la calidad de atención que se brinda al usuario mantiene un porcentaje bajo de satisfacción, ya sea por no contar con talento humano suficiente, o por no mantener una continua capacitación del personal de enfermería.
Implementación de la estimulación prenatal en adolescentes gestantes que acuden al subcentro de salud sur de la ciudad de Tulcán provincia del Carchi durante el periodo de marzo a agosto del 2012
Authors: Chamorro Aguaiza Laura Elizabeth , Tapia Lopez Alejandra Concepcion
Published: November 2021

El desconocimiento de la estimulación prenatal en adolescentes embarazadas, influye en situaciones de miedo e inseguridad al traer un nuevo ser; la educación y realización de terapias, contribuyen al beneficio de madres como de bebés por nacer. Es así que se obtuvo información documentada y estadística por parte del Subcentro de Salud Sur de la ciudad de Tulcán, además se realizó una encuesta a mujeres adolescentes embarazadas que acuden a la institución. Para determinar el conocimiento de las madres adolescentes sobre estimulación prenatal, y de los beneficios para el niño antes de su nacimiento, realizando un plan de intervención que permitió brindar estrategias de modificación que ayuden a estimular el vínculo padre-madre-hijo, e inculquen un ambiente seguro de amor y unión en la familia del bebé por llegar. La investigación fue de campo, de tipo analítica, transversal, aplicada y bibliográfica, en el periodo de Mayo - Agosto 2012. La mayoría de madres adolescentes no poseen un conocimiento básico sobre estimulación prenatal; se implementar por tal motivo una guía educativa sobre conocimientos de estimulación intrauterina, beneficios, importancia; la misma que se entrego al personal de salud del Subcentro de salud sur de Tulcán y a las participantes.
Social Capital dan Etika Lingkungan Dalam Komunitas Pemberdayaan Masyarakat Pada Wilayah Sungai Citarum
Authors: Jaenudin Nurdiana Diar
Published: November 2021

Citarum River is one of them, this river is the longest and largest river in Tatar Pasundan, West Java Province, Indonesia . The Citarum River has been named the dirtiest and most polluted river in the world. This title was given by The World Bank in 2007. The low attitude of caring for the environment of the community around the Citarum watershed is one of the factors causing the contamination of the Citarum River. With a length of almost 300 kilometers, the water of this river is used by more than 30 million people for irrigation, washing, and even as drinking water. Starting from the people of Bandung, Karawang, Purwakarta, Bekasi to Jakarta. This means that the Citarum river is not only used by the people of West Java. The issuance of Presidential Regulation Number 15 of 2018 concerning Acceleration of Pollution Control and Damage to the Citarum Watershed (DAS) is a breath of fresh air for the future of the Citarum River. Furthermore, this Presidential Regulation encourages industry players to regulate and manage factory waste so that it is not dumped into the Citarum River. Thus environmental ethics becomes very important in observing social capital because social capital often includes dimensions that are difficult to measure. Social Capital as a theoretical framework should be adopted in various aspects of people's lives. The use of social capital in development, community empowerment and environmental management is an example of how a modality that is based on the utilization of social relations is applied. This paper uses qualitative research methods, to obtain the necessary data the author uses data collection techniques with literature studies obtained by reading and studying literature, documents, theories and regulations that have to do with research problems. This paper is expected to provide an overview of the concept of social capital in the community empowerment community in the Citarum River area.