bluuebunny/crossref_metadata_2025 huggingface dataset:
Thinking about the Design of Commercial Industry Space Facilities under the Background of Epidemic Situation
Authors: Wang Lili
Published: August 2021

Objects: Based on the changes of people's life, work and social mode during the epidemic, it also brings a series of problems and thoughts to our interior designers in the interior space design, especially in the public commercial industryspace. Methods: the design of commercial space should pay more attention to the space functions such as ventilation quality, light environment, convenient human flow, rapid evacuation and other space functions, as well as relevant indoor space and facilities. Results: when we design commercial space, we should pay more attention to the detailed design of space identification guidance, space furnishing arrangement, spatial light environment and space air quality. Inclusion: let the interior space facilities design of commercial space not only stay in the form of simple interface, but also return to the essence of commercial space, and continue the whole process service between building space and business space environment.
Research on Academic Burden from International Perspective
Authors: Zhengxin Zhu, Ping Leng Songzhu Mei,
Published: August 2021

Academic burnout of basic education is widespread in varying degrees in the global scope, and such situation is particularly serious in Chinese primary and secondary schools. International research has rarely mentioned the concept of academic burden, which is mainly described in other similar concepts, such as academic burnout, academic stress, academic depression and academic anxiety. In addition, studies in other countries have paid more attention to the negative influence of academic load on students’ body and mind. Based on international perspective, the paper clarifies the somatic and psychological symptoms, behavior and attitude symptoms and symptoms of academic burnout caused by heavy academic burden, analyzes the influence factors of academic burden, and compares the function and applied scope of inventories and scales for academic burden. Findings enlighten us to focus on the teaching situations and students’ nature, increase empirical research and quantitative research of academic burden, put forward evidence-based, operational and pragmatic strategy of alleviating academic burden.
Spice Modeling of LED Filament and its Simulation in Switch Drive Circuit
Authors: LV Qingmei
Published: August 2021

When designing the LED filament lamp device and driving circuit at the beginning, software simulation is an indispensable step. It is necessary to verify whether the circuit output results are consistent with the requirements through simulation. In this paper, first measure the volt-ampere characteristics of the actual 1W LED filament strip, and applied the six-segment linear approximation model method for Spice modeling. The simulated volt-ampere characteristics of the 1W model were consistent with the measured volt-ampere characteristics of the 1W LED filament strip. Then use the driver chip HV9910B to design the LED filament lamp switch constant current drive circuit. Combined with the piecewise linear equivalent method, 3W, 4W, 5W LED filament lamp loads are modeled, the detailed design process of the entire circuit is analyzed, and the output voltage, current, inductance output current, MOS output voltage and other parameters of the whole circuit are simulated and verified. The results show that the output voltages are 71V, 142V, 71V, and the output currents are 30.4mA, 20.7mA, 51.1mA respectively under the circuit topology of 3W, 4W, and 5W LED filament lamp. When the inductor current works in CCM mode, the duty cycle of MOS output voltage meets the requirements, and the circuit output results are consistent with the design requirements.
Research on the Evaluation of Customer requirement Importance of Smart Products Based on Online Comments and Improved Quantitative Kano Model
Authors: Zan Ren, Yingjie Li Hang Liu,
Published: August 2021

With the development and popularization of smart products, the technological differences of products are decreasing, and the phenomenon of product homogeneity is becoming more and more obvious. It is necessary for the smart product manufacturing firms have the capability to analyze customer requirement deeply and adapt to the dynamically changing market quickly. Therefore, the traditional technology-oriented product development model is no longer suitable for manufacturers to obtain a competitive advantage. Based on this, this paper proposed a method to evaluate the importance of customer demands based on online comments and quantitative Kano model. First, the Python crawler tool is used to obtain online customer reviews of relevant products and the word segmentation processing is performed to obtain the product features and frequency that customers are mainly concerned about, and then the initial importance of demand can be calculated. Furthermore, use the quantitative Kano model to determine the customer satisfaction and revise the initial importance of the requirements to obtain a more reasonable ranking of the importance of user needs. Finally, a case study is carried out with the smart bracelet as an example to verify the effectiveness and feasibility of the model proposed in this paper.
An Approach to 1/f Noise Detection Based on Adaptive T-ATFPF Algorithm
Authors: Xiaojuan Chen, Zhaohua Zhang Jie Wu,
Published: August 2021

The generation of 1/f noise is closely related to the quality defects of IGBT devices. In the process of detecting IGBT single tube noise, thermal noise and shot noise show obvious white noise characteristics in the low frequency band, which are detected under the background of strong white noise 1/f noise can characterize the performance of IGBT devices. Therefore, on the basis of the Time-Frequency Peak Filtering (TFPF) algorithm, a two-dimensional time-domain adaptive T-ATFPF algorithm is proposed, and the adaptive segmentation is realized by means of the confidence interval crossing criterion based on Chebyshev’s inequality. Variable window length,use a small window length to process the signal section, which retains more detailed information of the effective signal.Use a larger window length to process the buffer section to ensure a smooth transition.Use the large window length to process the noise section, which more effectively suppresses randomness for noise, apply T-ATFPF to artificial synthesis model and actual model. Experimental results indicate that compared with the conventional algorithm, the improved method can better recover 1/f noise, and the ratio of signal to noise is greatly improved by about 1.3dB.
The Research Based on the Concept of "CGCM" Employment Entrepreneurship about Reconstruction of Training System of Logistics Management Major
Authors: Wei Zhao Yunping Ai,
Published: August 2021

Professional training system of Employment entrepreneurship concept is a key link in the process of teaching, and the effect is directly related to the quality of the logistics personnel training. Combining with reconstruction of professional training system of "employment entrepreneurship" concept launched in School of International Business, AnhuiInternational Studies University, the paper probe into new ideas and new practices of reconstruction of training system of logistics management major from the following four aspects: Cultivate Employment and Entrepreneurship Ability, Guide Employment and Entrepreneurship Awareness, Create Employment and Entrepreneurship Environment, Mold Employment and Entrepreneurship Team.
Effect of Aerobic Exercise Prescription Combined with Dietary Intervention on MAPK Signal Pathway in Simple Obese Children
Authors: Peijie Chen, Ru Wang Yali Xu,
Published: August 2021

Purpose: Observe the effect of aerobic exercise prescription combined with diet control on MAPK signaling pathways in children with simple obesity, to explore the molecular mechanisms of weight loss and health promotion in children with simple obesity. Methods: 18 male children with simple obesity were given aerobic exercise training for 4 weeks, 6 days a week, twice a day, each exercise for 2 to 2.5 hours. The dietitian formulated the corresponding diet according to the metabolic rate and weight of each subject, and strictly implemented it. And body composition, blood glucose, blood lipids, serum insulin and other indicators were test before and after the experimental. In addition, the mRNA chip was used to randomly detect the gene expression in the MAPK signaling pathway in the peripheral blood of 5 subjects before and after the experiment. Results: (1) after 4 weeks, the body shape indicators decreased significantly (p<0.05); the blood glucose and lipid metabolism indicators decreased significantly (p<0.05) (2) The gene chip test results found that before and after the experiment, a total of 27 genes in the MAPK signaling pathway were changed. These 27 genes were involved in the four pathways of ERK1/2, ERK5, p38 MAPK, and JNK. Conclusion: (1) 4 weeks of aerobic exercise prescription combined with diet control could significantly reduce the body fat rate of simple obese children, and could significantly improve their glucose and lipid metabolism disorder. (2) 4 weeks of aerobic exercise prescription combined with diet control could play a significant role in MAPK signaling pathway of simple obese children.
Green Supply Chain Newsvendor Model and Analysis under Multiplicative Random Demand
Authors: Jian Hu, Xiaohui Yuan, Yang Liu Yi Wang,
Published: August 2021

In this paper, we investigate the performance of green supply chain newsvendor model under multiplicative random demand. In our model, the green supply chain consists of one manufacturer and one retailer. The manufacturer acts as a leader, which decides the variables: production quantity, wholesale price and green-level; the retailer acts as a follower, decides on the retail price. Centralized and decentralized optimal solutions are obtained to optimize the manufacturer's production, stocking and green-level decision while anticipating the retailer's price optimization decision. Through research, it is found that the stocking factor decreases with the increasing price elasticity and is not affected by the green-level elasticity; Lower price elasticity will increase the optimal selling price of the green product, while green-level elasticity has no effect on the price; Larger price elasticity or green-level elasticity will increase the optimal green-level of the green product; Lower price elasticity or higher green-level elasticity will increase the overall profitability of the supply chain; Profit sharing between manufacturer and retailer under the decentralized model only depends on price elasticity and green-level elasticity; The greater price elasticity, the more beneficial to the retailer, the greater the green-level, the more beneficial to the manufacturer.
Competitiveness Evaluation of Manufacturing Industry based on Weighted Grey Correlation
Authors: Hu Hui
Published: August 2021

Manufacturing industry is playing an important role in social and economic system,while it is “big but not strong” that is more prominent in developing regions. In order to upgrade manufacturing industry, competitiveness evaluation of manufacturing industry is studied based on weighted grey correlation using analytical hierarchy process and grey correlation analysis.First, statistical data concerned withmanufacturing industry competitiveness are summarized and compared in six developing regions. Then, an evaluation system of manufacturing industrycovering 22 indicators is constructed from economics, scale, R&D and ecology points of view. Furthermore, by using weighted grey correlation which is combined with analytic hierarchy process and grey correlation analysis methods, a simulation approach considering uncertainty on weight and identification coefficient is developed to make a more reliable assessment. Finally, on the basis of the models and approaches, an empirical study on manufacturing industry competitiveness is carried out and simulation results show that this novel approach can provide information and insights for competitiveness evaluation.
Analysis of the Status Quo of theElder care Industryin Qingdao Cityand Its Influencing Factors
Authors: Shasha Wang Yiwen Miao,
Published: August 2021

The gradually accelerated aging process in China has become alargeobstacle for the sustainability of socioeconomic development. Thus it is urgent to develop elder care industry to meet the increasing needs of caring for the aged. This research is to analyse the current situation of the eldercare industry in Qingdao city, Shandong Province, and to identify the corresponding influencing factorsto provide a reference for developing governmental elder care policies to improve industrial development of elder care. Method: 1,008 research subjects aged 60 and over, from two randomly selected administrative regions of Qingdao City, were surveyedby a stratified random sampling in June and July of 2019. A questionnaire investigation was conducted to determine the respondents’preferencesfor the kinds of care services andto analyze the corresponding influencing factors. There were 1,002 completed questionnaires, of which 559 (55.8%) people selected home-based care, 98 (21.1%) selected community-based care, and 443 (44.2%) chose institution-based care.The multi-factor analysis showed that the risk factorsaffecting options of elder care were: living alone, low income, low pension, and poor mental health (OR > 1 and P<0.05). By contrast,living alonewas a protective factor for the elderly to choose institutional nursing care (OR<1 and P<0.05). Currently, in Qindao city, home-based care remains the primaryoptionof the aged, but the proportion of both community and institution elderly service has increased. Diversified home-based care should be promoted to satisfy the requirement forelder care in the aging society.
The Differential Effects of Foreign Investments on Sectoral Growth
Authors: Agbanyo George Kwame Cheng Hui Fang,
Published: August 2021

Previous studies on the effect of FDI on sectoral growth are far from reaching a consensus. This paper, using a panel data of 35 countries between 1990-2019, aims at investigating the differential effects of foreign direct investment modes of entry into the economic sectors. Through the systems generalized method of moments methodology, this study found that the impact of foreign investment on growth corresponds directly with the absorptive capacity of the host country. Meanwhile,M&A is a better economic booster than greenfield investment. The results also suggest that foreign investment is a significant agent of economic growth in the service sector, relatively weak in the manufacturing sector and insignificant in the agriculture sector. Also, M&A seems to spillover more easily than greenfield across sectors, and natural resources are not very good channels to transmit foreign investment into economic growth.
Research on Remote Sensing User Demand Mining Analysis Method
Authors: Jinghui Zhang, Haibei Yao, Yepan Zhong Zhonggang Zheng,
Published: August 2021

A method of mining and analyzing remote sensing user needs is presented in this paper. With the increasing number and types of satellites in China, satellites are more and more widely used in national economic construction, which can be used in land and resources census, emergency natural disaster relief, urban construction management, earth environment monitoring and so on. Therefore, the number of remote sensing users expand quickly and the specific content of remote sensing observation needs and remote sensing image data needs is diverse. How to find out the user’s remote sensing resources and data use rules from the large number of remote sensing needs is a key problem. The difficulty lies in that the rules representing the relationship between demand parameters are recessive rather than explicit, which can only be found by complex data analysis, especially under the condition of large amount of data. Data mining technology can find potential as well as valuable rules and knowledge from massive data. It is an effective tool to analyze massive data and an effective technical means to solve the above problems. In this paper, the association rules mining algorithm is adopted to mine and analyze mass of remote sensing user demand data, and find the potential association rules between the demand source, regional scope, time, demand type and other parameters.
Evaluation of Eigen Value Extraction and Automatic Computational Classification of Corpus in Scene Scheduling of Sports and Health IoT Platform
Authors: Zhang Yanjun
Published: August 2021

This study constructed a corpus by collecting samples of applications in exercise health information. Based on the extracted 8 eigen values, this study used the Fisher score algorithm to score the eigen values and then formed a combination of 8 groups of eigen values according to the score ranking. This study performed computerized automatic classification using cross-checking based on three methods, support vector machines, neural networks, and Naive Bayes model. By analyzing the experimental results, the optimal eigen value combination and the optimal classification algorithm were finally derived in this study.
Evaluation of Teacher Allocation in Regional Compulsory Education Industry Based on K-means clustering and GIS Spatial analysis: A Case Study of teacher-student ratio
Authors: Yu Chen, Li Yang, Ke Yan Limin Liu,
Published: August 2021

The allocation of teacher resources can reflect the situation of regional education disequilibrium. It is an important research content to effectively evaluate the differences of regional teacher resource allocation and reveal the characteristics of spatial location. Take teacher-student ratio of compulsory education of five adjacent cities in China as an example, this paper focus on difference analysis and balanced evaluation of teacher resource allocation. Combined with geographical location, Differentiation coefficient, K-means clustering and GIS hot spot analysis methods are used to carry out the classification of teacher resource allocation and the spatial aggregation model of cold and hot spots. The results show that: there is an imbalance between different cities, as well as between districts and counties in same city.The results of K-means clustering and GIS hot spot analysis also show that regional teacher resource allocation has the characteristics of numerical classification and spatial aggregation. The k-means algorithm can aggregate the teacher-student ratio of 30 districts into three categories, revealing the category characteristics of teacher allocation. The results of GIS hotspots show that there are high value aggregation and low value aggregation in teacher configuration. The methods and research results of this paperprovide newresearch ideas for resource balance evaluation and spatial pattern analysis of education industry.
An Extended Bayesian Hierarchical Model Predicted SARS-CoV-2 Cases and Reproductions After Vaccination in England
Authors: Xiangdong Liu Jiajing Zha,
Published: August 2021

In the UK, one of the worst affected countries by the SARS-CoV-2 global pandemic, the UK government has released a comprehensive vaccination plan for SARS-CoV-2 and will set up more vaccination sites in the coming months to expand the service to more people. We built an extended Bayesian hierarchical prediction model to predict the number of cases and breeding situation after vaccination in the nine districts of England. Based on the population of each region, the number of deaths and the IFR (the infection mortality ratio) for each region were predicted. We found that EAST, NORTHWEST and SOUTHEAST had the largest IFR, and the corresponding death numbers were 29,079, 28,734 and 25,201, respectively. Reproduction number ( ) is expected to drop below 1 in all regions on January 7, January 12, January 16, January 13, January 10, January 17, January 10, January 18 and January 14, respectively. Major vaccine interventions have been effective in reducing transmission in the nine areas of England given the mortality rate of the infected people and epidemiological characteristics of SARS-CoV-2. We also found that vaccination among people aged 70 to 80 had made a significant contribution to reducing transmission of the virus. The model can be extended to forecast the effects of certain interventions in public health emergencies, the effect of preventing the spread of disease, and the effect of different interventions in different age groups to find the best way to control the spread of disease. It can also be extended to drug and non-drug interventions to find the best combination of solutions.
Site Selection for Weihai Port International Logistics Center Based on Centroid Method and Fuzzy Evaluation Method
Authors: Et al. Min Liu,
Published: August 2021

Centroid method is used to study siteselection forWeihai Port International Logistics Center, then relevant index system is built based on the factors influencing site selection.Fuzzy comprehensive evaluation method is used to score several locations in Weihai City so that the optimal location can be selected via comparison. The research conclusions have a certain reference value for the site selection of Weihai comprehensive international logistics distribution center, which carries positive significance for the development of international logistics industry in Weihai Port and the urban area.
Study on Overseas Warehouse Location of Manufacturing Cross-border E-Commerce Enterprises Based on Multi-objective
Authors: Et al. Yingying Liang,
Published: August 2021

As a new logistics mode, overseas warehouse can save transportation time for cross-border logistics and also solve the problem of customer return and exchange as soon as possible. This paper takesmanufacturing cross-border e-commerce enterprise logistics as the starting point, considering cost, market, environment, society and other factors, establishes a multi-objective overseas warehouse location model to set up alternatives, analyzes the location model by analytic hierarchy process, selects the optimal solution of overseas warehouse location in the alternatives, and verifies the method by an example. Finally, it puts forward targeted suggestions for manufacturingcross-border e-commerce enterprises to establish overseas warehouses, and then promotes the new logistics mode of manufacturingcross-border e-commerce overseas warehouses to mature and standardize.
Transformation and Innovation of Human Resource Management in the Era of Big Dataunder the Background of Industry Intelligence
Authors: Liu Shuchen
Published: August 2021

In the context of industry intelligence, modernization in management has achieved remarkable advance. Management concepts and management methods are two key factors in determining the effects of human resource management (HRM). The application of big data in HRM not only drives the modernization of management concepts, but also promotes the innovation of management methods, making the management work better match the needs of the organization's operation. This paper explores how human resource management is delicately conducted in an information-based and intelligent society in terms of the shift in management concepts, the optimization of the flow of the management, the benefits of innovation in management. In the meantime, corresponding strategies and suggestions on how to bring full play to the positive effects of big data in HRM are put forward to meet the needs of modern management goals.
Droplets Image Segmentation Method Based on Machine learning and Watershed
Authors: Et al. He Li,
Published: August 2021

Watershed algorithm is used widely in segmentation of droplet overlapped spots on water-sensitive test paper. However, the phenomenon of over-segmentation, however, is often caused by noise and subtle changes of gray levels in images. To further improve segmentation accuracy of watershed algorithm, this paper proposes a cyclic iterative watershed segmentation algorithm. Through statistical analysis and logistic regression, machine learning models were classified to extract overlapping droplets on test papers. Loop iterative processing of seed points segments overlapping droplets with appropriate thresholds. Compared with fixed threshold watershed segmentation, this method has higher precision and efficiency for spray droplet evaluation in pesticide application.
Economic Order Quantity Model of Aircraft Turnover Parts in Aviation Industry
Authors: Yamiao Wen Chaofeng Wang,
Published: August 2021

The inventory control of turnover parts is the key and difficult point for aircraft spare parts management, which is directly related to the benefit level of airlines in aviation industry.On the basis of considering the depreciation cost, repair cost, inventory cost and shortage cost, this paper analyzes the annual replacement times and turnover cycle, and puts forward the optimization model of Economic Order Quantity (EOQ) of aircraft turnover parts. The feasibility of the method is verified by an example. Through sensitivity analysis, it is concluded that the strong sensitive factors affecting EOQ are annual replacement times and unit shortage cost, while the purchase price has little influence on EOQ.
An Empirical Study on the Impact of Targeted Poverty Alleviation Policies on the Quality of Accounting Information of Manufacturing Companies
Authors: Qing Jin, Ying Liu Shu Li,
Published: August 2021

Manufacturing is the mainstay of the national economy, the healthy development of manufacturing enterprises is of great significance. Based on the perspective of the quality of accounting information of manufacturing enterprises, the impact of government poverty alleviation policies on manufacturing is analyzed. Using the sample of manufacturing companies from 2016 to 2018, this article empirically examines the impact of manufacturing companies' participation in targeted poverty alleviation led by the government on the quality of their own accounting information. The study found that compared with manufacturing companies that didn't participate, manufacturing companies participating in targeted poverty alleviation showed higher quality of accounting information, and there was a significant positive correlation between the two. And after using the instrumental variable (IV) method to control the endogenous problem, the above conclusions were still stable. Further research found that the above relationship only existed significantly in the sample of non-state-owned manufacturing enterprises. The research has enriched the relevant literature on manufacturing and accounting governance, and has provided some enlightenment for how to improve the quality of accounting information of manufacturing companies against the realistic background.
Probability Integral Method in the Influence of Ground Settlement on a Certain Construction Land
Authors: Jiacheng Gao, Chuanrong Xue Junda Lyu,
Published: August 2021

There is a potential threat of geological hazards in the construction land adjacent to a mined-out area on the west side. To accurately determine the degree of influence of the mined-out area in this area, this article has collected and sorted out five reports on a gypsum mine since 2010, combined with various parameters in the relevant reports, and used the integral probability method. Quantitatively calculate the surface displacement value, surface tilt value, absolute value of horizontal deformation and the maximum settlement value in the goaf area. The actual calculation results show that the construction land here is not affected by the goal of the gypsum mine.
Highway Reliability Management Model Based on Depth Recursion for Transportation Demand
Authors: Sang Guozhen
Published: August 2021

An effective estimation method for the highway reliability management according to the Zhukov usage model based on the recursive test is put forward. This method makes use of the important sampling technique to ensure that under the conditions of the unbiased reliability estimation, the depth recursion is used to measure the difference between the operation profile and the distribution of the zero variance sampling, to correct the test profile by adjusting the transition probability between all the states through the heuristic iterative process. It has proved theoretically that the reliability of the estimation using the modified test profile test is unbiased estimate with the variance of 0. Finally, the heuristic iterative algorithm for the generation of the optimal test profile of the highway reliability estimation is given. The simulation results show that the method put forward in this paper can significantly reduce the variance of the estimate compared with the Newton algorithm, and can increase the speed of the recursive test while improving the estimation accuracy at the same time. The research done in this paper can effectively meet the requirements of the transportation industry in the tertiary industry.
Profits Optimization Reasearch of Dual-Channel Supply Chain Oriented to Manufacturers Online Customization and Traditional Retail
Authors: Xiaoying Ju Sihua Xu,
Published: August 2021

Under the background of "Internet +", increasing manufacturers sell standard products through retail channels and sell customized products in electronic channel. The competition about dual-channel supply, relationship between production cost and delivery time and the influences of online market acceptance, product customization attribute value, price and delivery time on online customization and traditional retail markets are considered, based on the decision variables of the price of custom and standard products and the guaranteed delivery time, the Stackelberg models are constructed respectively for the manufacturer-led and retail-led supply chain under decentralized system and the overall profits maximization of the supply chain is modeled under centralized system, the existence and uniqueness of the optimal solutions is proved by the optimization theory. The optimal decisions, market demands and enterprises profits under different systems are compared through numerical examples, the relation between the sensitivity coefficients and the optimal enterprises profits are obtained through the parameters sensitivity analysis. The idea of model construction and relevant conclusions are of reference and significance for manufacturing enterprise management practices.
Study on Fracability of Tight Reservoir on the basis of Geophysical Logging: a Case Study of Chang 7 Formation in Longdong Area, Ordos Basin
Authors: Et al. Zhenhua Li,
Published: August 2021

Fracability is the ability to form complex fracture to Increase production in tight reservoir under the same fracturing condition. The factors influencing fracturing include reservoir brittleness, fracture toughness, crack system,thermal evolution andmineral content etc. The tight reservoir physical property are poor, and the oil and gas produced under natural conditions is too little, so it is necessary to fracture the reservoir.In this paper, the brittleness and fracture toughness of Chang 7 Formationof Ordos Basinare calculated by logging data under the constraint of laboratory data. In combination with production practice, a new analysis model of reservoir hydraulicfracturing is constructed. The new analysis method is used to evaluate the fracability of Chang 7 stratum in the Ordos Basin, which ranges from 38.7% to 51.4%. It is basically consistent with the practical fracturing effect of typical wells in this area, which shows that the new method is accurate in calculation, convenient in field application, and can provide experience for the reservoir hydraulic fracturing .
Exploring the Beginnings of Algebraic K-Theory
Authors: Schott Sarah
Published: August 2021

According to Atiyah, K-theory is that part of linear algebra that studies additive or abelian properties
(e.g. the determinant). Because linear algebra, and its extensions to linear analysis, is ubiquitous in mathematics,
K-theory has turned out to be useful and relevant in most branches of mathematics. Let R be a ring.
One defines K0(R) as the free abelian group whose basis are the finitely
generated projective R-modules with the added relation P ⊕ Q = P + Q. The
purpose of this thesis is to study simple settings of the K-theory for rings and to provide a sequence of examples
of rings where the associated K-groups K0(R) get
progressively more complicated. We start with R being a field or a principle ideal domain and
end with R being a polynomial ring on two variables over a non-commutative division ring.
Ensuring Consistency and Efficiency of the Incremental Unit Network in a Distributed Architecture
Authors: Imtiaz Mir Tahsin
Published: August 2021

An incremental system takes advantage of upcoming data as early as possible. In other words, an incremental system processes received data incrementally. Incremental systems can be useful over non-incremental systems to build spoken dialog systems when we are looking for faster and more human-like behavior. For example, human-to-human conversations are incremental, as a listener does not wait for a speaker to finish speaking to begin understanding. Inspired by the fact that Robot-Ready Spoken Dialog Systems must be incremental and need to work distributedly, and IU framework "breaks" in a distributed architecture, I attempted to use the IU network to fulfill the incremental requirements and be able to extend the IU framework to work flawlessly in a distributed environment. This work aims to answer the question whether we can make a distributed IU network efficiently and consistently. More specifically, I explored the optimal ways to establish a complex IU data store that can facilitate the conservation and accessibility of the total generated IU data network in a distributed environment avoiding the \breaking" of the IU network, and act as a backbone for a final and complete "Robot-Ready" incremental dialog system. We evaluated the HRI response differences happening along with IU store implementation differences in a live, interactive study with robots and found out that humans do notice small performance differences and subconsciously become judgmental of robots' anthropomorphism characteristics in relation to the robots' performance.
Medical Simulation as a Competency-Based Assessment within Physician Assistant Education
Authors: Toussaint Michele
Published: August 2021

Simulation-based practices are widely utilized in medical education and are known to be a safe and effective way to train and assess learners, improve provider confidence and competency, and improve patient safety. Competency-based initiatives are being more broadly utilized to assess learner proficiency in health professions education. Recent publication of competencies expected of new graduate physician assistants, and updated accreditation requirements which include assessment of learner competencies in non-knowledge based domains, have led to the creation of this simulation-based summative assessment of learner competency in communication and patient care skills for Physician Assistant students.

The purpose of this quantitative study was to identify if this simulation assessment had appropriate construct validity and rater consistency, and to identify if correlation existed between learner performance on the simulation exam and in required Supervised Clinical Training Experiences for measures of communication skills and patient care skills.

While raters for the simulation assessment had minimal variability, measures of internal consistency did not achieve suitable thresholds for patient care skills. Communication skills assessment was able to achieve the minimum suitable threshold for internal consistency with minor revisions. No correlation was noted between exam performance for communication skills or patient care skills and clinical practice ratings. Several key areas exist which may explain these results including the rating scale for the simulation exam which utilized checklists and not global rating scales, faculty raters with broad and diverse clinical backgrounds, observation-related factors on the part of the student, and the high-complexity and multidimensional nature of provider-patient interactions.
Assessing Soil-Related Terroir Factors in Sunnyslope District Vineyards of Southwest Idaho
Authors: Haggen Rachael Nicole
Published: August 2021

Terroir is the set of factors including climate, soil, and management practices that influence the character of a wine. Of these factors, soil texture and chemistry is a major determinant in wine grape quality (van Leeuwen et al., 2009). Understanding the characteristics of the soil is key to making decisions that support the production of the highest possible quality grapes from the resources available. Few studies have been conducted in the Snake River Valley AVA (SRVAVA). This study seeks to build upon the data already available and provide analysis of vineyard-scale terroir in a leading grape growing district of the SRVAVA.

Nine vineyards from the Sunnyslope wine grape growing district of southwestern Idaho were selected for their diversity of geographic location and growing environment. Soil pit locations in each vineyard were determined using a stratified-random sampling technique and normalized difference vegetation indices (NDVI) calculated from aerial imagery. This study combines field collection, sampling and analyses of soil texture and chemistry to characterize the soils in the selected vineyards. The results show the majority of vineyards contain aeolian or colluvium-derived soils composed of coarse silts and fine sands. Only two vineyards, those located closest to the Snake River, contain basalt gravels and lithic sands not observed in the other vineyards. Geochemical data show an increase in Ca with elevation and a decrease in Fe and Mn with elevation, which may be the result of varying soil parent materials or recent deposition of sediments.

The results of my study support the presence of vineyard-scale terroir and the assertion that intra- and inter-vineyard heterogeneity is inherent. Further, my results show recent sediment deposition and agricultural practices have overprinted the original soil profiles. Understanding vineyard-specific soil characteristics like those investigated in this study will allow vineyard owners to manage for specific soil traits and promote the unique terroir of their product. Management of vineyards in this way can support the growth of high-quality grapes and the production of desirable wines that reflect the unique conditions under which they were grown, their terroir.
pandemia del Covid-19 desde una mirada transdisciplinar
Authors: Cuevas-Alvear Nicolás
Published: August 2021

Editorial
"Hemos aprendido a vivir en crisis"
Authors: Ramírez Jefferson
Published: August 2021

Debido a la pandemia generada por el Covid-19, en Colombia, desde mediados de marzo del 2020, los teatros en el país cerraron sus puertas al público. Entre el miedo al virus, la necesidad de sobrevivir económicamente y el querer reactivar la cultura, algunos han vuelto a la presencialidad con un aforo reducido e implementando protocolos de bioseguridad, no obstante, el sector continúa en crisis. Hojas de El Bosque, dialogó con Rodrigo Rodríguez, dramaturgo, actor, profesor de la Universidad Pedagógica de Colombia y director de Ditirambo Teatro, sobre el impacto de la pandemia en el sextor teatral: consecuencias, desafíos y oportunidades para el teatro en tiempos de Covid-19.
Формування державної стратегії вирішення проблем житлового сектору Латвії
Authors: Ліса Інара
Published: August 2021

У статті розглянуті основні принципи розробки стратегії житлового будівництва для створення комфортного міського середовища. Зі зростанням міст виникає потреба в нових концепціях і підходах до планування міського простору для підвищення екологічності та енергоефективності. Автор проаналізував і систематизував основні тенденції розвитку житлового сектора в Латвії,  дослідив можливості використання рішень малоповерхового будівництва для благоустрою існуючих територій. Основна мета – розробити теоретичні основи і практичні рекомендації для розробки стратегії вирішення проблем житлового сектора в Латвії з використанням проектів малоповерхового будівництва.
LITERATURE REVIEW STUDY OF THE RELATIONSHIP BETWEEN LEADERSHIP STYLE, LEADERSHIP BEHAVIOUR, AND LEADERSHIP TRAITS
Authors: Alsarrani Wael Ibrahim , Jusoh Ahmad , Alhaseri Ayman Ahmed , Almeharish Amani
Published: August 2021

Purpose: This paper attempts to interpret and discuss leadership and the three contradicted terms to reveal the misuse of those three terms with leadership.

Methodology: The study uses a systematic method to review the previous literature related to the leadership domain and the three contradicted terms related to leadership. These are leadership style, leadership behaviour, and leadership traits. In addition, this study provides the definitions of the three contradicted terms from a linguistic and management literature perspective.

Main Findings: The study proposed a definition of each of the three contradicted terms. Additionally, the study suggested a conceptual framework that combined how the three contradicted terms can be related. The findings will contribute to the expansion of theoretical knowledge in the field of leadership.

Applications of this study: This paper indicates that the review of the literature regarding what differentiates the three contradicted terms is an important aspect to deeply understand leadership concepts. The definition of each of the three contradicted terms will expand the understanding of junior leadership researchers and university students.

The study's originality: This study will reveal the ambiguity and misinterpretation in the literature regarding the three contradicted terms of leadership. Moreover, it will present the definition of each of the three terms; leadership style, leadership behaviour, and leadership traits. Furthermore, the proposed conceptual framework will contribute to the expansion of theoretical knowledge in the leadership domain.
Elaboração e compressão de sentenças complexas em Guajá
Authors: Magalhães Marina Maria Silva
Published: August 2021

Levando-se em consideração o conceito de elaboração e compressão (Lehmann, 1989) como representando dois polos de um continuun de integração entre orações, analiso neste estudo as alterações observadas em orações subordinadas adverbiais do Guajá, conhecidas tradicionalmente pelo termo “gerúndio” (Anchieta ([1595] 1990), Rodrigues (1953), Leite (1978) e Seki (2000)), quando comparadas a outras línguas da família Tupi-Guarani. Para isso, descrevo a relação desta construção com o surgimento de Construções Verbais Seriais (SVCs) em Guarani-Paraguaio (Velázquez-Castillo, 2004) e Emerillón (Rose, 2009) e a gramaticalização de verbos em partículas posicionais e direcionais em Guajá (Magalhães, 2019). Adicionalmente, apresento a hipótese sobre a existência de um tipo de SVC assimétrica no Guajá, restrita a apenas 4 verbos na posição V2, que seriam o que restou de uma estrutura de predicado complexo na língua que está desaparecendo devido ao processo de gramaticalização de verbos em partículas, representando um outro tipo de compressão atestado na língua.
Intransitividade Cindida no Canela
Authors: Barros Murilo Da Silva , Alves Flávia De Castro
Published: August 2021

O artigo apresenta uma pesquisa realizada com traços semânticos de verbos intransitivos e descritivos da língua Canela (Timbira, Jê, Macro-Jê). Essa pesquisa guiou-se pelos conjuntos de traços semânticos postulados por Mithun (1991, 2008). A pesquisa apresentada teve como principal objetivo discutir a possível relação entre traços semânticos e a intransitividade cindida na língua. Para isso, separamos as etapas de pesquisa da seguinte maneira: primeiro, uma breve discussão sobre o alinhamento de intransitividade cindida; depois, uma sistematização das propriedades verbais da classe de descritivos no Canela; e, por último, a análise dos resultados alcançados com a separação de verbos por traços semânticos na língua. Por fim, evidenciamos que a codificação de argumentos de verbos monovalentes na língua opera de acordo com a presença/ausência dos seguintes traços: [performance/efeito/instigação] e [controle].
Inovação lexical na rede social: as criações neológicas para nomes de festas universitárias no Facebook
Authors: Oliveira Silva Maiune De , Castorino Pauler , Xavier Vanessa Regina Duarte
Published: August 2021

As criações lexicais são recorrentes na língua geral e/ou especializada, porque essas inovações linguísticas, compreendidas como neologismos, denominam a quilo que é tido como novidade na realidade dos sujeitos. Neste viés, acreditamos que, na contemporaneidade, essa renovação lexical é disseminada sobretudo por intermédio das redes sociais (GONÇALVES, 2019). Por esse prisma, nesse estudo temos como objetivo investigar os processos neológicos mais frequentes em nomes de festas universitárias divulgados na rede social Facebook. Para isso, utilizaremos como pressupostos teóricos os estudos de Alves (2007), Correia e Almeida (2012), Guilbert (1975), entre outros que versam sobre a temática que ora abordamos. A metodologia tem cunho quanti-qualitativo, posto que coletamos os neologismos manualmente na rede social supramencionada e realizamos o cotejo deles em dicionários gerais de língua, com vistas a conferir seus status neológicos. Nossos resultados apontam que os neologismos formais, em sua maioria composições sintagmáticas e cruzamentos vocabulares, foram os mais recorrentes.
Rastreamento de referência nas línguas Sakurabiat e Wayoro: uma análise contrastando cláusulas matrizes e subordinadas
Authors: Galucio Ana Vilacy , Nogueira Antonia Fernanda
Published: August 2021

A interrelação entre identificação de relações gramaticais, alinhamento morfossintático e rastreamento de referências é um campo de estudo ainda pouco investigado para línguas amazônicas. Os principais sistemas de identificação da relação entre sintagmas nominais argumentos e predicados são a ordem de constituintes, o caso nominal e a concordância verbal. Dentre esses sistemas, as línguas Tupi utilizam, em geral, uma combinação de ordem de constituintes e concordância/indexação verbal. Este estudo envolve línguas do ramo Tupari (Tupi), caracterizado por um sistema de alinhamento híbrido nominativo-absolutivo. Analisaremos dados das línguas Sakurabiat e Wayoro, aplicando a perspectiva tipológico-funcional (HASPELMATH, 2011; SHOPEN, 2007) para avançar na descrição do(s) sistema(s) de alinhamento, com foco especial na análise do rastreamento de referência na estrutura informacional. A análise de relações anafóricas e de controle entre cláusulas principais e subordinadas indica que os argumentos S/A funcionam como pivôs para o controle e identificação de referência.
Analyzing the relationship between major public investments and neighborhood change in Atlanta
Authors: Humphries Josh , Taylor Kendra
Published: August 2021

As many of our residents can attest to personally, Atlanta’s population growth, from about 420,000 residents in 2010 to over 500,000 residents today, has been accompanied by demographic neighborhood change. In the Neighborhood Change Report released by the City in February 2021, we explore how major public investment and design goals are related to changes in where low-income and non-low-income residents live in the city.