bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Innovation strategies and best practices Model of Higher Education of biotechnology based on Hierarchical Ordered Probity
Authors: Zhang Wenli
Published: July 2022

Aiming at the problem of low confidence in the traditional model of higher education innovation and reform, this paper designs a model of higher education of innovation and Reform Based on hierarchical ordered probity in biotechnology. By mining the data of higher education innovation and reform, deleting the redundant features of higher education innovation and reform data, filling in the data null and noise points, the data preprocessing of higher education innovation and reform is completed. Based on the hierarchical probity, the model parameters are estimated by calculating the core indicators of the model, and the functional relationship between the independent variables and the dependent variables in the model parameters is determined. The experimental results show that the confidence of the model based on hierarchical ordered probity is significantly higher than that of the control group, which can solve the problem of low confidence of the traditional higher education innovation model. The rate of return on schooling is steadily falling as social competitiveness heats up. As a result, the positive impact of education on well-being is lessened. This study used a bivariate ordered Probity model under the educational field theory to examine the effect of higher education innovation on social class and residents' satisfaction. Higher education reform and innovation will have an influence on people' satisfaction, according to these findings. People's subjective well-being may be considerably improved by increasing their education level, and there are major disparities between urban and rural areas. This demonstrates the need of educational reform and innovation strategies with best practices.
Mathematical Model of Short Circuit Fault Diagnosis in management and collaborative System Based On Improved SOM Neural Network
Authors: Hui Li  , Yali Li  , Chen Ning
Published: July 2022

The existing mathematical model for short-circuit fault diagnosis of management and collaborative system has the problem that the session characteristics of communication link are not clear, resulting in the slow upload speed of fault data. In order to solve this problem, a short-circuit fault diagnosis mathematical model of communication system based on improved SOM neural network and the innovative strategies also management and collaborative system is describe in this paper. Firstly, the early warning information of the system is collected, combined with the repeated information, the session characteristics of the communication link are extracted by using the quasi Newton algorithm, the mutually orthogonal physical resource blocks are transformed, the short-circuit fault diagnosis mode is optimized, the parameters of the components to be detected are estimated, the feature space vector is truncated, and the mathematical model is established by using the improved SOM neural network. Experimental results: the average value of the management and collaborative system short-circuit fault diagnosis mathematical model designed in this paper is 8.244 Mbps, and the average values of the other two management and collaborative system short-circuit fault diagnosis mathematical models are 5.756 Mbps and 5.863 Mbps respectively. The results show that the designed mathematical model for short circuit fault diagnosis of management and collaborative system has high application value.
Modeling and analysis of the impact of technological innovation on corporate governance performance based on Econometrics
Authors: Jian Jiao  , Liu Xiang
Published: July 2022

In order to ensure the healthy development of enterprises, this paper investigates the operation status of technological innovation companies by using the econometrics principle. Based on the influence of ownership structure on enterprise performance in recent years, a model is established to analyze the influence of different factors on enterprise performance. Based on the econometrics principle, this paper analyzes the effect of technological innovation on corporate governance performance, and optimizes the evaluation algorithm of the effect. Experimental results show that the econometric model of technological innovation on corporate governance performance has a high accuracy, which can meet the needs of research.
Text mining algorithm of value orientation of civil and commercial law,regulations and reimbursement based on emotional dictionary
Authors: Zhao Xuejie
Published: July 2022

Aiming at the low accuracy of the traditional value-oriented text mining algorithm of civil and commercial laws, regulation also reimbursement a value-oriented text mining algorithm of civil and commercial law based on an emotional dictionary is designed. Through the civil and commercial law value orientation text word segmentation, eliminate the redundant values in the text. Select the text features of the value orientation of civil and commercial law, regulation also reimbursement and use the one hot method to represent the text vector. Calculate pad and emotional intensity, construct civil and commercial law value orientation text, and mine emotional dictionary. The confusion matrix is established to realize the text mining of the value orientation of civil and commercial law. The experimental results show that the accuracy of the designed algorithm for value oriented text mining of civil and commercial law is significantly higher than that of the traditional algorithm, which can solve the problem of low accuracy of the traditional value oriented text mining algorithm of civil and commercial law.
Financial Entrepreneurship early warning model of enterprise human capital based on data analysis
Authors: Chen Fang
Published: July 2022

According to the optimization degree of human capital structure will determine the degree of economic development of enterprises, the financial early warning index system of human capital is designed. This paper constructs a financial early warning model of human capital based on data analysis. Combined with the logical relationship that the effective allocation of human resources determines the creation of enterprise value and the realization of enterprise value through the financial capital engine, it is modified into the basic model of financial early warning combination model of human capital on the basis of Cobb Douglas production function. The data analysis toolbox of MATLAB software is used to establish the combination model of human capital financial early warning based on data analysis. The experimental results show that the method can compensate for the error of single early warning model in the combined early warning model and improve the precision of early warning. Chinese small- and medium-sized firms (SMEs) have become an increasingly significant element of China's economy, both in terms of overseas export trade and job possibilities and GDP growth. Small and medium-sized businesses (SMEs) account for 99 percent of the country's 10 million industrial and commercially registered companies. More than 80% of urban employment is provided by small and medium-sized businesses, and 70% of innovation is generated by these businesses. The fierce rivalry in the buyer's market continues to grow in the current competitive climate. Small and medium-sized businesses in the sector must offer consumers with competitive goods and services, including preferred credit settlement methods, generally in the form of credit sales, in order to consolidate or grow their competitive advantages. As a result, many businesses find themselves in a "not selling on credit and waiting to die" or "selling on credit to court death" quandary because of the danger of the other party's usage, which frequently results in accounts receivable that cannot be fully or on time recovered. A thorough understanding of your clients, a sensible financial system, and an early warning evaluation of your company's finances are all required before you can work together.
English Teaching Ability Evaluation Algorithm based on management, leadership and entrepreneurship including education, Data Fusion and Notch Filtering
Authors: Wang Hongyan
Published: July 2022

All universities and colleges has been offering English as one of the important courses. The effectiveness of English teaching is inextricably related to the quality of talent acquisition and student growth. The term evaluation of teaching quality describes the type of content knowledge in which the focus is to analyze quality teaching. One of the significant aims of every school and university is to improve the English teaching quality and promote the development of English teaching and entrepreneurship. As the existing evaluation algorithms have been facing various problems of fuzzy core dimension characteristics, which result in poor data integrity. Therefore, we proposed an English teaching ability evaluation algorithm based on data fusion, entrepreneurship, and notch filtering. Moreover, for the purpose, to achieve the goal of education entrepreneurship and quality teaching, strengthen of the English teaching quality algorithm is necessary, as well as the leadership and management qualities of the teachers also have a lot of impact on the performance of teaching quality and students working performance and it is a topic worthy of in-depth and significant investigation. We select the explicit indicators that are easy to measure, establish the hierarchical structure system of evaluation indicators, construct the evaluation model by data fusion and notch filtering, obtain multi-source heterogeneous data, extract the core dimension characteristics of English teaching ability, make rational use of teaching resources, convert variables into standard units, and set up the evaluation mechanism by using random walk algorithm. Experimental results: the average data integrity of the designed English teaching ability evaluation algorithm is 4.33, and the average data integrity of the other two evaluation algorithms is 1.921 and 1.885, which proves that the English teaching ability evaluation algorithm integrating data fusion and notch filtering technology has a broader application prospect.
Intelligent Selection Method of Sustainable Transportation Mode based on Advanced Big Data Analysis using the concept of biotechnology
Authors: Liu Yali
Published: July 2022

The existing intelligent selection methods have the problem of fuzzy characteristics of sustainable transportation mode, which leads to high regional saturation. This paper designs an intelligent selection method of sustainable transportation mode based on advanced big data analysis. This paper explains the use of biotechnology in improving the mechanism of transportation for the sustainable working of transport industry. Taking a certain attribute of a road section as the weight of the edge, the road network expression is obtained, and the path planning model is constructed to directly reflect the road traffic conditions. Advanced big data analyzes the characteristics of sustainable traffic mode, determines a reasonable mapping rule, allocates the source node and destination node of computer overhead, and uses ant colony algorithm to establish an intelligent selection mechanism. Experimental results: the average regional saturation of the intelligent selection method and the other two selection methods are 0.397, 0.530 and 0.544, which proves that the intelligent selection method combined with advanced big data analysis technology has higher application value.
Feasibility evaluation model of English cultural teaching of medical subjects based on virtual reality technology
Authors: Lin Minfen
Published: July 2022

In recent years, English has been widely used in medical subjects. As the integration of English into medical classroom teaching is an important trend, the feasibility of implementing this approach to teaching is the focus of this study. The questionnaire survey and subsequent analysis revealed that for students, using virtual reality technology to teach English in medical subjects was feasible and had a positive impact on their learning experience. This article is about examining the feasibility evaluation model of English cultural teaching in medical courses based on virtual reality technology. The survey questionnaire research found that for students, using virtual reality technology to teach English in medical courses has positive impacts on their learning experience and it's feasible to implement this approach. The fuzzy evaluation algorithm is designed and applied to the feasibility evaluation model of English culture teaching. The feasibility evaluation is realized through weight set and fuzzy evaluation matrix. The experimental results show that the feasibility evaluation model of English culture teaching based on virtual reality technology can improve students' English performance and improve the quality of English culture teaching.
Classification of legal articles based on machine learning
Authors: Zhou Liangliang
Published: July 2022

In order to solve the problem of long execution time of traditional legal text classification, this paper designs a legal text classification method based on machine learning. Based on the combination of support vector machine (SVM) and naive Bayes classifier in machine learning, the feature value of legal text is filtered, the legal text classification matrix is established, and the legal text classification results are accessed directly through embedded system to realize the legal text classification. The experimental results show that the implementation time of the design method is more than twice as fast as that of the control group, which can solve the problem of long implementation time of the traditional method.
Exploring the Use of the World Health Organization Total System Effectiveness Approach and Market Opportunity Navigator to Identify Initial Positioning and Targeting of a New Bio needle™ Delivery Technology for Vaccine Administration
Authors: Alexis Mingey  , Alexa Molinari  , Michael Toscani  , John M. York
Published: July 2022

With the advent of COVID-19, the vaccine industry has gained much attention. Increased focus on vaccines, vaccine delivery methods, and vaccination campaigns has led to the need for more efficient strategies to evaluate product positioning and targeting of new delivery technologies. This qualitative exploratory study examines how Bioneedle Drug Delivery (BDD), a European-based firm developing a needle-free vaccine delivery system, addresses these considerations. It specifically examines how BDD 1) positions its Bioneedle™ platform vs. other non-needle vaccine delivery systems (in market or development) using the World Health Organization's Total System Effectiveness Approach and 2) targets its lead indication for use using Market Opportunity Navigator for entry in a crowded market. Such efforts lead to a positioning statement for BDD's new platform to identify lead customers and opportunities, key competitors, and points of differentiation. The output from this initial exploratory work leads to a path for future study to assess the relative positioning and targeting of this technology more rigorously within the highly competitive vaccine landscape.
Tree-Based Methods: A Tool for Modeling Nonlinear Complex Relationships and Generating New Insights from Data
Authors: Mo Ya , Habing Brian , Sedransk Nell
Published: July 2022

Our paper introduces tree-based methods, specifically classification and regression trees (CRT), to study student achievement. CRT allows data analysis to be driven by the data’s internal structure. Thus, CRT can model complex nonlinear relationships and supplement traditional hypothesis-testing approaches to provide a fuller picture of the topic being studied. Using Early Childhood Longitudinal Study-Kindergarten 2011 data as a case study, our research investigated predictors from students’ demographic backgrounds to ascertain their relationships to students’ academic performance and achievement gains in reading and math. In our study, CRT displays complex patterns between predictors and outcomes; more specifically, the patterns illuminated by the regression trees differ across the subject areas (i.e., reading and math) and between the performance levels and achievement gains. Through the use of real-world assessment datasets, this article demonstrates the strengths and limitations of CRT when analyzing student achievement data as well as the challenges. When achievement data such as achievement gains in our case study are not linearly strongly related to any continuous predictors, regression trees may make more accurate predictions than general linear models and produce results that are easier to interpret. Our study illustrates scenarios when CRT on achievement data is most appropriate and beneficial.
Marxism-Leninism and Christianity: Continuation of I. Vostorgov's Research
Authors: Barinov Nikolai Nikolaevich
Published: July 2022

This article is a study of the compatibility of the theory and practice of Marxism-Leninism and Orthodox Christianity. The great importance of this topic is due to its direct connection with the improvement of society and the ongoing controversy on this issue with attempts to integrate communism with Christianity. The work provides a historical and theological analysis based on a critical study of the works of the founders of Marxism-Leninism, their associates, historical and theological works, as well as historical documents on this issue. The article examines the approaches of the teachings of Orthodox Christianity, as well as Marxism-Leninism to atheism, materialism, religion and the Church. For this purpose, the relevant texts of Holy Scripture, the opinions of the Church fathers and the views of the founders and followers of Marxism-Leninism are studied. The novelty of this study is that some documents are considered for the first time in the context of the problem under study. In addition, a more detailed and systematic historical and theological analysis of the comparison of the teachings of Marxism-Leninism and Orthodox Christianity on this topic is carried out in comparison with the available works. The purpose of the work is to study historical and theological works, as well as historical documents related to the problem under study. The article concludes that Marxism-Leninism in this matter is not compatible with Christianity and is directly opposed to it. Since the Second World War in the USSR, relations between the state and the Church have improved from time to time, but the official state course on Marxism-Leninism did not leave the possibility of their reconciliation. Currently, there are attempts to produce a symbiosis of these two teachings. Many Communists have a positive attitude towards the Church, so a dialogue between them is possible and necessary. But as long as the ideology of the Communists remains Marxism-Leninism, antagonistic to Christianity and any religion in general, in their ranks will always remain hostile to religion. Therefore, the synthesis of these teachings is impossible.
Stress diminishes outcome but enhances response representations during instrumental learning
Authors: Meier Jacqueline Katharina , Staresina Bernhard P , Schwabe Lars
Published: July 2022

Stress may shift behavioural control from a goal-directed system that encodes action-outcome relationships to a habitual system that learns stimulus-response associations. Although this shift to habits is highly relevant for stress-related psychopathologies, limitations of existing behavioural paradigms hinder research from answering the fundamental question of whether the stress-induced bias to habits is due to reduced outcome processing or enhanced response processing at the time of stimulus presentation, or both. Here, we used EEG-based multivariate pattern analysis to decode neural outcome representations crucial for goal-directed control, as well as response representations during instrumental learning. We show that stress reduced outcome representations but enhanced response representations. Both were directly associated with a behavioural index of habitual responding. Furthermore, changes in outcome and response representations were uncorrelated, suggesting that these may reflect distinct processes. Our findings indicate that habitual behaviour under stress may be the result of both enhanced stimulus-response processing and diminished outcome processing.
Norsk Høifjeld [1898]
Authors: Caspari Theodor
Published: July 2022

This is the first edition of Norsk Høifjeld, published in Kristiania (Oslo) in 1898 with illustrations by A. Bloch, Th. Holmboe, Kaulum, Th. Kittelsen, Eiv. Nielsen, and Karl Uchermann.
COMUNICAÇÃO E IMAGEM: RESGATE DE SÍMBOLOS ALQUÍMICOS NA PRODUÇÃO AUDIOVISUAL NA PÓS-MODERNIDADE
Authors: Dugnani Patricio
Published: July 2022

Pretende-se, nesse debate, observar como na Pós-modernidade ocorre o resgate de códigos simbólicos antigos na produção audiovisual. Esses códigos simbólicos antigos, que serão apresentados, pertencem, principalmente, ao imaginário do final da Idade Média, e início da Idade Moderna que estariam ligados às representações alquímicas feitas em seus tratados. Dentro da comunicação, na produção audiovisual pós-moderna, pretende-se destacar momentos em que se resgata esse imaginário dos tratados alquímicos em filmes e seriados. Não se pretende analisar os filmes e um seriado de maneira integral, apenas destacar a relação intertextual - o cruzamento de diferentes textos - que ocorre com uma certa frequência nesse tipo de produção midiática. Acredita-se que, devido a tendência intertextual da estética pós-moderna, que se dá, comumente, através de citações e paródias, esse tipo de resgate simbólico se torna cada vez mais frequente. Além disso, a temática ligada às representações herméticas, parecem ter caído no gosto da audiência da Pós-modernidade, o que também amplia o uso e resgate dessa simbologia. Esse artigo se constitui como sendo um estudo teórico e exploratório, com revisão e análise bibliográfica. Além disso, devido a questão da intertextualidade, essa análise será guiada metodologicamente pelos conceitos apresentados por Roland Barthes.
O ANALÓGICO A SERVIÇO DO STREAMING: STRANGER THINGS E WANDAVISION
Authors: Baptista Lauria Pedro Artur
Published: July 2022

Stranger Things, uma das séries mais assistidas na Netflix, se destaca a partir de sua recriação da década de 1980, repleta de referências nostálgicas: seja à filmes, músicas, moda, produtos ou eventos históricos. Já WandaVision da Disney+ foi durante sua exibição a série mais assistida dentre todos os canais de streaming. A série, que faz parte do universo Marvel, passa pelos diferentes períodos estéticos das sitcoms da segunda metade do século XX. Sendo ambos seriados carros chefes de suas respectivas plataformas de streaming, o presente artigo procura explorar a dicotomia, os desdobramentos e os mecanismos que fazem com que Stranger Things e WandaVision ocupem um lugar híbrido. Analisaremos como tais séries romantizam o passado emulando estéticas de décadas anteriores, desenvolvem uma profunda tecnostalgia analógica e acabam por influenciar em um comportamento de espectatorialidade de suas audiências que remete à de séries pré-streaming. Faremos tais aprofundamentos, sempre colocando em consideração que esses produtos audiovisuais são parte integral de serviços digitais que representam a obsolescência desses elementos e tecnologias analógicas. Mais do que simplesmente contraditório, tal dualidade parece ser instrumental em um momento em que a saturação do espectador com velocidade tecnológica e da hegemonia do digital fica cada vez mais evidente.
Evaluation of Antiplasmodial Activity of Solvents Extract of Senna occidentalis Leaves
Authors: Usman Muhammad Ibrahim , Maazu Abubakar Bilyamini
Published: July 2022

The high rate of resistance to an antimalarial drug suggests the importance to discover new compounds with potential antimalarial activities. This research work is aimed at evaluating the antimalarial activity as well as characterization of potential bioactive compounds from extracts of Senna occidentalis leaves (ESOL). The in vitro antimalarial activity of the methanol, ethyl acetate, chloroform, and hexane extracts was carried against Plasmodium falciparum. The antimalarial activity of the extracts was determined by calculation of the percentage elimination of the ESOL after three days of incubation against Plasmodium falciparum. Analysis for the detection of possible bioactive compound(s) in the ESOL was conducted using Gas chromatography Mass spectrometry (GCMS). Results showed that ESOL has antimalarial properties that were dose-dependent. Furthermore, there was a significant increase (p<0.05) in the mean percentage elimination of all the extracts when compared with placebo (normal saline). All the extracts show an activity less than the conventional drug, i.e Artemisinin Combination Therapies(ACT), with the chloroform extracts showing the highest anti-plasmodial activity of 94.64% at 5000 µg/ mL. Chloroform extracts were found to contain Urs-12-en-3-ol, acetate (3 beta), (Alpha-amyrin), Lup-20(29)-en-3-ol, acetate and 12-Oleanen-3-yl acetate, (Beta-amyrin acetate) as possible bioactive compounds. This study suggests that ESOL has potential anti-plasmodial activity.
The Effects of Inventory Management Practices on Educational Service Delivery: A Case Study of Sunyani Technical University, Ghana
Authors: Ayivi Barbara Edem , Anane Augustine , Awuah Gabriel
Published: July 2022

The study sought to assess the effect of inventory management practices on educational service delivery at Sunyani Technical University (STU). The study was guided by three specific objectives; inventory management practices in Sunyani Technical University, the relationship between inventory management practices and service delivery and the challenges in practicing inventory management at Sunyani Technical University (STU). The study adopted convenient sampling technique to sample 230 respondents. The study revealed that cycle stock (74.8%), in-transit inventories (51.3%), inventory planning and scheduling (78.3%), inventory recording (56.5%) inventory control (72.6%), material requirement planning (MRPI) (78.7%) and safety or buffer stock (57.0%) respectively are the inventory management practices used within the institution. Also the Chi-Square (χ2) analysis on the impact of inventory management practices on service delivery revealed that inventory plays an essential role within the survival of the institution and are consequently held to make sure goods are always available. The study recommends that staff on recruitment and during induction should be trained on how to handle inventory items so that the process of educational service delivery is not affected. This is because most of the teaching staff feel and think that management of inventory is not their responsibility when actually it is the inventory that facilitates their process of delivering the services expected of them.
Centric Data Analytics Framework for Solar Energy Efficiency in the Rural Settings
Authors: E. Abikoye Olanrewaju , Olaboye Y. O. , O. Alabi Abdullateef
Published: July 2022

Climate change periodically, and one of its natural causes is solar variation. Solar energy generation is now gaining more attention in developed nations, and its usefulness is becoming acceptable in rural settings. This research focused on Centric Data Analytics Framework for Solar Energy Efficiency called DAFSEE to solve power supply deficiency in resource-limited settings in Kwara State. Statistically, resource-limited regions feature a low population with a shortfall of social amenities. Significantly, households in urban areas have more electricity consumption than rural ones, making solar energy more relevant. The researcher then determined the efficiency of solar energy in the selected regions over time using an experimental study using cloud computing to create a dataset in six geo-locations in Kwara State. A predictive model was adopted and yielded 98.99% from the recurring analytics of the installed solar cells. The outcome of this study suggested best practices to sustain renewable energy in the area across all seasons. The study provides a starting point to distil policy implications for a centric analytics framework of improving rural electrification relevant for collective resource-limited settings across Nigeria.
Examining the Causes of Neonatal Mortalities in the Tamale Metropolis
Authors: Daborikuu Bridget , Abubakari Abdulai
Published: July 2022

Background: Neonatal Mortality is the death of a child within the first 28 days of life. It accounts for most of the under-five deaths but has not been given serious attention by academics, especially in the Tamale Metropolitan area. As a result, very little is known about its cause and the calibre of women most affected.

Aim: This study focuses on cause of neonatal mortality in the three major hospitals in Tamale.

Materials and Methods: The study involved 282 women who have suffered from neonatal deaths using hospital records to identify them. The study also includes 21 health workers from these facilities. Data was collected using interviews and questionnaires and review of records.

Results: The study found that from 2012 to 2016 there has been a downward trend in both neonatal deaths and neonatal death rate. This trend was observed in all three major hospitals. The study found that the majority (70.8%) of women had normal gestational periods, while nearly 50% (49.7%) of the babies cried immediately after birth.

Conclusion: The study concludes that improved medical health care services, encouraging regular attendance of antenatal clinics and improving the mothers’ diet could be responsible for the decrease.
Investigation of Poincare Solutions of Nonlinear Duffing and Pendulum under Selected Periodic Excitations Using Fractal Disk Characterisation
Authors: Adebayo Azeez A. , O. Salau Tajudeen A. , J. John Toluwalope , Musa Fatahi A.
Published: July 2022

Literature has shown that harmonically excited nonlinear Duffing and pendulum oscillators can respond chaotically under the influence of some of their drive parameters combination. However, literature is scarce on the steady state responses of these oscillators when excited arbitrarily and periodically. Therefore, this research was designed to investigate the potential qualitative and quantitative variation in the steady Poincare solutions of nonlinear Duffing and pendulum oscillators under selected periodic excitations compared to their harmonically excited counterparts. The non-dimensional second Order Differential Equation (ODE) corresponding respectively to governing equations for harmonically/periodically excited nonlinear Duffing and pendulum were solved using the constant step fourth order Runge-Kutta algorithms. The corresponding steady state Poincare solutions obtained were characterised by visual inspection and fractal dimension measure obtained using fractal disk counting method. Visual inspection of corresponding steady Poincare solutions show that they are qualitatively indistinguishable. However, the corresponding estimated fractal dimension varied significantly. The absolute variation in dimension was found to be between 1.37% and 4.92% for the Duffing oscillator and between 5.67% and 7.39% for the pendulum oscillator.
Screening Blackgram (Vigna mungo (L.) Hepper) Genotypes for Salt Tolerance at Germination and Seedling Stages
Authors: Rajasekar R. , Prasad V. Babu Rajendra , Djanaguiraman M. , Sumathi A. , Jegadeeswari D.
Published: July 2022

Aim: Salt stress negatively affects the growth and development of plants. An effective and important strategy to develop salinity tolerant crops is to harness the genetic diversity within the crop germplasm by identification of salinity tolerant genotype. The present study was carried out with an objective to screen blackgram genotypes (A31, DPU 968, KU 7720, LBG 787, PLU 621, TMV 1, Tutiminimum, VBG 18028, VBG 18032, and VBN 2) for salt tolerance at germination and seedlings stage and identification of saline tolerant blackgram genotype based on salt stress tolerance indices.

Study Design: Factorial and arranged in a completely randomized design.

Place and Duration of Study: Department of Crop Physiology, Tamil Nadu Agricultural University, Coimbatore; May-June 2022.

Methodology: Using petriplate and roll towel techniques, blackgram seed germination indices and seedling growth indices such as germination percentage, germination index, mean germination time, seedling vigour index, shoot and root length, fresh and dry seedling weight, and stress tolerance indices were recorded. Two-way ANOVA, Principle Component Analysis (PCA) and Cluster Heat-map Analysis were used to analyze the data.

Results: PCA indicates that salinity stress accounted for 86.2 percent of the variation, whereas the individual genotype contributes only 5.4 percent of the variation observed in germination and growth parameters that were studied in blackgram under control and 130mM NaCl salt stress conditions. Among the ten blackgram genotypes, stress tolerance index was highest for LBG 787 (0.831) followed by KU7720 (0.722). On the other side, the stress susceptible index was found to be lower for the blackgram genotype KU7720 (0.335) followed by LBG 787 (0.592), as compared to other genotypes screened. Cluster heat-map analysis for all the measured parameters revealed that blackgram genotype LBG 787 was clustered with PLU 621 and VBG 18028 and found to tolerate the salt stress level (130mM NaCl stress) compared to other blackgram genotypes.

Conclusion: Observations indicate that the blackgram genotypes KU 7720, LBG 787, PLU 621 and VBG 18028 exhibit greater tolerance towards salinity during the germination and seedling growth stages.
Effect of Different Levels of Yeast on Physico-chemical and Sensory Properties of Guava (Psidium guajava L.) Cv Allahabad Safeda Cider during Storage
Authors: Ansari Arsheen Aara , Bahadur Vijay , Thomas Cherish Abraham
Published: July 2022

The study was carried out at the Post Harvest Technology, Department of Horticulture, SHUATS, Prayagraj (Uttar Pradesh) during the year 2021 - 2022. The study consisted of 6 different treatments and control comprising the T0 Guava juice (1L) + yeast (0), T1 Guava juice (1L) +yeast (0.5gm), T2 Guava juice (1L) +yeast (1gm), T3 Guava juice (1L) + yeast (2gm), T4 Guava juice (1L) + yeast (3gm), T5 Guava juice (1L) + yeast (4gm), T6 Guava juice (1L) + yeast (5gm). Guava juice was fermented using Saccharomyces cerevisiae. This investigation was laid out in a completely randomized design with three replications. The cider was tested for the physico-chemical changes after preparation, and sensory evaluation was done based on the 9-point hedonic scale tested on a panel of 5 experts. This cider was stored for about 120 days at room temperature. From storage studies, it was revealed that T1 Guava juice (1L) +yeast (0.5 gm) is most suitable in terms of their physicochemical properties and organoleptic test of cider. The effect of storage on physico-chemical and organoleptic characteristics was also observed.
Performance Evaluation and Identification of Highland Quality Protein Maize Hybrids in Ethiopia
Authors: Mekasha Goshime Muluneh , Chere Adefris Teklewold
Published: July 2022

Background: Maize plays an indispensable role in meeting high food demand. It is globally one of the most widely adopted and cultivated crops. Hybrid development from fixed inbred lines is one of the strategies for the improvement of maize production. The national average maize yield is low in East Africa; thus, the selection of promising germplasm has a great role to meet the high food demand of growing the population.  Forty-two Quality Protein Maize (QPM) crosses (21 inbred lines each crossed with two testers) along with three popular standard hybrids checks were evaluated in two replications using alpha lattice during the 2017 cropping season at Ambo, Arsi-Negele, and Kulumsa. The objective of this study was to evaluate and select the best new QPM hybrids for grain yield, and other agronomic and morphological characteristics.

Results: Significant difference among crosses was observed for 19 traits at Ambo, 14 traits at Arsi-Negele, and 19 traits at Kulumsa.  Out of 28 traits studied, six of them did not show genotype by location interaction but they showed a significant genotypic effect. These traits were: Days to Silking (DS), Number of Ears per plant (EPP), Ear Length (EL), Kernels Per Row (KPR), Ear Diameter (ED), and Thousand Seed Weight (TSW).  Based on the mean performance in the combined analysis, from 42 new QPM crosse, six of them (L8xT2, L7xT1, L8xT1, L19xT1, L6xT2, and L18xT1) were scored higher grain yield compared with the mean of the three standard checks and best conventional maize (CM) check (AMH853). L8xT2, L7xT1, L8xT1 crosses showed a higher grain yield advantage over the best check (AMH853) by 20.87, 14.13, and 13.63%, respectively.

Conclusion: The study implicated the existence of a difference between the newly developed hybrids and the standard check varieties. In general, the study enabled us to identify promising crosses that could be forwarded for further use in maize breeding programs in future work.
Summer Practicum: Extending the Partnership for Pre-Service Teachers to a Local High School
Authors:   Grand Canyon University, Mostofo Jim
Published: July 2022

Teacher educators and their students (pre-service teachers) are not always able to be involved in partnerships with local high schools and their students. This paper describes such a partnership with a local high school in which pre-service teachers from a university’s college of education completed their practicum hours over the summer in advance for their fall classes. My dual role in this partnership as a professor in the college of education and as the director of the summer partnership is discussed. This study also examined the impact of this summer practicum partnership on the pre-service teachers. My participation in the program increased my belief in local school summer partnerships and the benefits of experiential learning for the pre-service teachers as we worked through the scholarship of application (Boyer, 1997). The pre-service teachers cited their benefits in the areas of more real-life teaching experience, collaboration with their mentor-teachers, and a welcoming feeling from the local high school.
Reflective Practice: Perceived Expectations of Parental Involvement in Underserved and Under-resourced Communities and the Development of Viable Strategies and Partnerships
Authors:   Grand Canyon University, Mansur Fatima
Published: July 2022

This paper explores the concept of school and community partnerships and their impact on positive student outcomes. My primary focus as a reflective practitioner was to examine the role of parents in this school–community dynamic. School and community are not two separate entities but interwoven through the commitment and support of the children and families they serve. There is a need to identify strategies to assist and empower parents to become more effective learning partners. Friends of Bright Minds Community Prep (FBMCP) sought to address some of the concerns by developing a Parent Academic Coaching Empowerment (PACE) Curriculum; which utilized authentic and holistic approaches rooted in empirical research conducted by Dr. Joyce Epstein’s, involving the six types of parental involvement. It is incumbent for schools and communities (specifically through community-based organizations) to create viable partnerships with the goal of student achievement within the school setting. As a practicing scholar, there is an opportunity for ongoing inquiry, reflection, and discovery. Keywords: community-based organizations, parent advocacy, parental involvement, school–community partnerships, parent mentoring, parent coaching
Virtual Campus Tour
Authors: em Nathe , raj Pushpa , umar Rajk , iyeal Than , vanish Tha , tham Gow
Published: July 2022

This studys main goal is to scientifically assess whether students react favourably to the virtual campus tour. A website and virtual reality were both used in the creation of this application. Users can traverse this virtual tour while hearing narration and background noise. Additionally, readers can read summaries of each Faculty department. Each panorama has a hotspot that enables viewers to continue their local exploration. To create 3600 effects, all photographs are blended using the 3D Vista Virtual Tour software. Usability tests are carried out to get the users response to the virtual campus tour, to improve the prototype, and to measure the level of user convenience and satisfaction. Measurement of student responses is done using questionnaires and interviews. 71 responders received a questionnaire about student responses. The virtual campus tour was well welcomed, and all of the respondents believed that it may draw users to help market the university.
Sentimental Analysis of Product Rating
Authors: bhu Pra , hnu Vis , Sujai Saran
Published: July 2022

The Consumer reviews are frequently regarded as crucial resources in e-commerce systems since they capture users experiences, sentiments, and purchasing intentions. All of this data may include comments and viewpoints expressed by consumers about various topics. Numerous studies have revealed that people who share similar attitudes toward things are more likely to trust one another. Because a product can be designed for multiple e-commerce websites, the reviews on Steam are more reliable as a result. In Steam, user reviews include the following information: 1) Product name, 2) Product reviewer information, including username, delivery address, products reviewed, and reviewed date, 3) Review text, 4) Review summary (Recommended/Not Recommended), and traditional manual rating 5) The percentage of other users Helpful and Not Helpful ratings, and 6) Other users comments on the product reviews. The automated five-star rating replaces the traditional manual evaluation and uses sentiment analysis of the review. Context based anomaly detection is done to remove irrelevant portions of each review. Selective-feature analysis is performed to assist vendors as well as buyers. Therefore Threshold was set using more complex criteria that involves purchase patterns. Results obtained from the proposed model is ideal for e-commerce websites. Model can be improved by addition of sarcasm detection algorithm which is quite challenging.
Produção de Acrilonitrila a partir de Diferentes Matérias-Primas: prospecção tecnológica
Authors: Guerra Gabriel Nunes , Musse Neto Guilherme Joao , Pontes Luiz Antônio Magalhães
Published: July 2022

A grande demanda mundial por acrilonitrila, combinada à necessidade crescente de processos mais sustentáveis e competitivos, tem motivado a constante melhoria do processo de obtenção, assim como a busca por matérias-primas mais sustentáveis. Assim, foi realizado um estudo de prospecção científica e tecnológica acerca desse tema com o intuito de compreender o atual cenário, principalmente no que diz respeito ao emprego das principais matérias-primas citadas na literatura. Para tanto, os artigos foram pesquisados na base do Science Direct e, para patentes, foi utilizada a base Espacenet. A prospecção de patentes foi realizada utilizando o código de indexação C07B e as palavras referentes à acrilonitrila. Constatou-se que a maioria dos artigos e patentes são focados na melhoria dos catalisadores e condições reacionais, tendo propano e propeno como matérias-primas mais abordadas. Poucas publicações abordaram a produção de acrilonitrila a partir de insumos renováveis, como glicerol, indicando que esse tipo de processo ainda está pouco consolidado tecnologicamente.
Mapeamento Bibliométrico e Patentométrico de Áreas Relacionadas à Economia Verde: Mundo e Brasil
Authors: Silva Marlon Vinicius da , Guenkka Ternize  Mariana , Rabelo Olivan da Silva , Silva Fernando Selleri
Published: July 2022

O termo “Economia Verde” é utilizado em áreas acadêmicas e políticas, sendo redefinido de diversas maneiras e situações. Utilizando da maleabilidade do termo, este artigo objetiva mapear o estado da arte e tecnológico sobre o termo e suas vertentes, em panorama global, brasileiro e no estado de Mato Grosso – Brasil. É um estudo bibliométrico e patentométrico, com base na Scopus e Orbit, e analisado no VOSviewer. Identificou-se que a China é líder mundial em publicações e patentes. Brasil e Mato Grosso seguem a tendência mundial como maior área de trabalhos publicados, com destaque para as áreas de ciências agrárias e biológicas, sendo Universidade de São Paulo, Universidade Federal do Rio de Janeiro, Universidade Federal do Mato Grosso e Universidade do Estado de Mato Grosso as instituições com maior número de publicações. Quanto às depositantes de patentes, Syngenta, Arkema, Boeing, Universidade Federal do Paraná e Universidade Estadual de Campinas se destacam.
Sistemas Informatizados de Monitoramento e Análise da Qualidade do Gesso: prospecção e desenvolvimento de novas tecnologias para fortalecimento do Polo Gesseiro do Araripe
Authors: Alves Daniel Lucas  Nunes de Alencar , Santos Vivianni Marques Leite dos
Published: July 2022

A maior parte do gesso produzido no Brasil é proveniente do Polo Gesseiro do Araripe, que reúne centenas de indústrias em Pernambuco. Um dos desafios do Polo é a fragilidade do controle de qualidade de seus produtos, que, por vezes, é realizado manualmente. O objetivo deste trabalho é identificar, por meio de uma prospecção tecnológica, a disponibilidade de sistemas informatizados para o monitoramento e a análise da qualidade na produção do gesso. As buscas consideraram patentes (Orbit®), artigos científicos, registros de programa de computador (RPCs) e o portfólio de empresas. Não foram encontrados RPCs, e as patentes analisadas estão voltadas para o modelo produtivo chinês. Dois possíveis produtos foram encontrados no mercado, sendo um nacional e outro internacional, já que ambos ainda precisam ter suas viabilidades confirmadas. Por fim, é proposto, na forma de um roadmap tecnológico, o desenvolvimento de um sistema personalizado segundo as necessidades do Polo Gesseiro do Araripe.
Prospecção Tecnológica de Patentes sobre Hidromel: panorama atual e perspectivas futuras
Authors: Simão Larissa , Wanderley Bruna Rafaela da Silva Monteiro , Nunes Itaciara Larroza , Fritzen-Freire Carlise Beddin
Published: July 2022

O hidromel é uma bebida milenar que tem despertado o interesse de distintos mercados consumidores nos últimos anos. Assim, é importante conhecer as características tecnológicas desse produto. Com isso, o objetivo deste trabalho foi realizar um estudo prospectivo de patentes sobre o hidromel. A metodologia empregada consistiu em uma busca avançada nas bases de dados European Patent Office (Espacenet®) e Instituto Nacional da Propriedade Industrial (INPI), utilizando as palavras-chave mead/hidromel e o código da Classificação Internacional de Patentes (CIP) C12G3/02. Ao todo, 117 documentos foram encontrados. Observou-se um número expressivo de depósitos a partir dos anos 2000 (n=108) e que a China foi o principal país depositante (n=84). Em relação ao perfil de patentes, 90% dos documentos abordam sobre métodos de elaboração, em especial o uso de ingredientes adicionais. Os resultados demonstram que a elaboração de hidromel no Brasil ainda é pouco explorada, sendo interessante a sua produção e diversificação.