bluuebunny/crossref_metadata_2025 huggingface dataset:
Dietary Pattern, Diet Quality, and Dementia: A Systematic Review and Meta-Analysis of Prospective Cohort Studies
Authors: Liu Yi-Hsuan , Gao Xiang , Na Muzi , Kris-Etherton Penny M. , Mitchell Diane C. , Jensen Gordon L.
Published: September 2020

Background: Diet is an important lifestyle factor that may prevent or slow the onset and progression of neurodegeneration. Some, but not all, recent studies have suggested that adherence to a healthy dietary pattern may be associated with reduced risk of dementia. Objective: In this meta-analysis, we systematically examined the associations between overall dietary patterns, assessed a priori and a posteriori, and risk of dementia. Methods: We systematically searched PubMed, Web of Science, and the Cumulative Index for Nursing and Allied Health databases from January 1, 1981 to September 11, 2019. Prospective studies published in English were included. Random-effects model was used to calculate the pooled risk ratios and 95% confidence intervals (CIs). Results: Sixteen research articles were identified in the systematic review and 12 research articles including 66,930 participants were further included for the meta-analysis. Adherence to high diet quality or a healthy dietary pattern was significantly associated with lower risk of overall dementia (pooled risk ratio = 0.82; 95% CI: 0.70, 0.95; n = 12) and Alzheimer’s disease (pooled risk ratio = 0.61; 95% CI: 0.47, 0.79; n = 6) relative to those with low diet quality or an unhealthy dietary pattern. Subgroup analyses stratified by age, sex, follow-up duration, diet quality assessment approach, study location, and study quality generated similar results. Conclusion: Adherence to a healthy dietary pattern was associated with lower risk of overall dementia. Further randomized controlled trials are needed to provide additional evidence about the role of a healthy diet on the development and progression of dementia.
Proteasome Activity in the Plasma as a Novel Biomarker in Mild Cognitive Impairment with Chronic Tinnitus
Authors: Yun Yejin , Lee Sang-Yeon , Choi Won Hoon , Park Jong-Chan , Lee Dong Han , Kim Yun Kyung , Lee Jung Hoon , Lee Jun-Young , Lee Min Jae , Kim Young Ho
Published: September 2020

Background: Although the existence of proteasomes in human blood, termed circulating proteasomes (c-proteasomes), has been reported previously, their origin and pathophysiological functions remain largely unknown. Objective: Given that c-proteasome activity was significantly reduced in Alzheimer’s disease model mice and relatively high frequency of mild cognitive impairment (MCI) is accompanied by chronic tinnitus in aged patients, we examined whether c-proteasome activity in human plasma was associated with cognitive function in patients with chronic tinnitus. Methods: c-Proteasome activity in the plasma of tinnitus patients (N = 55) was measured with fluorogenic reporter substrate, suc-LLVY-AMC. To assess MCI, the Montreal Cognitive Assessment was conducted with a cut-off score of 22/23. All patients underwent audiological and psychoacoustic analyses. Levels of c-proteasomes, Aβ42, and Aβ40 were measured using ELISA, and their association with c-proteasome activity was evaluated. Results: The activity of circulating proteasomes was significantly lower in patients with chronic tinnitus and MCI (p = 0.042), whereas activities of other plasma enzymes showed little correlation. In addition, c-proteasome activity was negatively associated with the level of plasma Aβ and was directly dependent on its own concentration in the plasma of patients with chronic tinnitus. Conclusion: Our current work provides a new perspective for understanding the potential relationship between circulating proteasomes in the plasma and cognitive dysfunction, suggesting a novel, non-invasive biomarker in the context of MCI diagnosis.
FDG PET Data is Associated with Cognitive Performance in Patients from a Memory Clinic
Authors: Henkel Rebecca , Brendel Matthias , Paolini Marco , Brendel Eva , Beyer Leonie , Gutzeit Andreas , Pogarell Oliver , Rominger Axel , Blautzik Janusch
Published: September 2020

Background: Various reasons may lead to cognitive symptoms in elderly, including the development of cognitive decline and dementia. Often, mixed pathologies such as neurodegeneration and cerebrovascular disease co-exist in these patients. Diagnostic work-up commonly includes imaging modalities such as FDG PET, MRI, and CT, each delivering specific information. Objective: To study the informative value of neuroimaging-based data supposed to reflect neurodegeneration (FDG PET), cerebral small vessel disease (MRI), and cerebral large vessel atherosclerosis (CT) with regard to cognitive performance in patients presenting to our memory clinic. Methods: Non-parametric partial correlations and an ordinal logistic regression model were run to determine relationships between scores for cortical hypometabolism, white matter hyperintensities, calcified plaque burden, and results from Mini-Mental State Examination (MMSE). The final study group consisted of 162 patients (female: 94; MMSE: 6–30). Results: Only FDG PET data was linked to and predicted cognitive performance (r(157) = –0.388, p < 0.001). Overall, parameters linked to cerebral small and large vessel disease showed no significant association with cognition. Further findings demonstrated a relationship between white matter hyperintensities and FDG PET data (r(157) = 0.230, p = 0.004). Conclusion: Only FDG PET imaging mirrors cognitive performance, presumably due to the examination’s ability to reflect neurodegeneration and vascular dysfunction, thus capturing a broader spectrum of pathologies. This makes the examination a useful imaging-based diagnostic tool in the work-up of patients presenting to a memory clinic. Parameters of vascular dysfunction alone as depicted by conventional MRI and CT are less adequate in such a situation, most likely because they reflect one pathology complex only.
Unity power factor control of permanent magnet synchronous motor by using open winding configuration
Authors: Chen Dezhi , Diao Chengwu , Feng Zhiyu , Zhang Shichong , Zhao Wenliang
Published: September 2020

This paper presents the performance of open-winding permanent magnet synchronous motor (OW-PMSM). It mainly includes vector modulation technology considering the unity power factor control.And a topology structure is proposed to optimize the fault tolerance of inverter. Matlab software and Maxwell software collaborative simulation are supplied to obtain the reactive power, speed, terminal voltage, electromagnetic torque etc. under normal and fault status. Finally, the simulation results of an open-winding permanent magnet synchronous motor are verified by the experimental results.
Optimization of cluster heads through harmony search algorithm in wireless sensor networks
Authors: Agrawal Deepika , Pandey Sudhakar , Gupta Punit , Kumar Goyal Mayank
Published: September 2020

Wireless Sensor Networks is a complex network with millions of small-scale sensor nodes, working together to detect certain physical phenomena. Sensor nodes are operated by battery therefore the major concern is energy efficiency. Clustering is an effective technique to decrease the energy depletion in the network. However, choosing the optimum Cluster Heads is an NP-Hard problem. This paper proposes an unequal clustering technique that selects probationary Cluster Heads through fuzzy logic and the optimization of this probationary Cluster Heads is done through Harmony Search Algorithm (HSA). The proposed algorithm exhibits the dynamic capability of fuzzy logic and high search efficiency of HSA that extends the network lifespan. The findings are simulated against traditional clustering protocols and compared. The findings obtained show that the protocol proposed is performing superior in terms of network lifespan prolongation and other metrics.
Multimedia system and database simulation based on internet of things and cloud service platform
Authors: Caiqian Zhang , Xincheng Zhang
Published: September 2020

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.
Bacterial Foraging Optimization of Speech Coder for Software Defined Radio Application
Authors: Gunjal Sheetal D. , Raut Rajeshree D. , Wagh Abhay
Published: September 2020

The paper presents integration of Discrete Wavelet Cosine Transform technique and Bacterial Foraging Algorithm (BFO) for the development and optimization of speech coder. It is depicted how by filtering the limited number of high energy components of transformed coefficients with parallel programming can maintain the speech signal quality in coding over wide range of bit rates. The performance of existing and proposed speech coding techniqueattributes such as compression ratio, coding delay, computational complexity and quality of reconstructed speech is examined for multiple bit rates and compared with other existing speech coding techniques in Matlab environment. The result showsimprovement in performancewith respect to all attributes at the cost of increase in complexity.
Application of feature extraction method based on support vector machine in Internet of things
Authors: Lin Tang
Published: September 2020

Although much less fatal than the Ebola and previous SARS virus epidemics, the current coronavirus outbreak (COVID-19) has spread to more people in more countries in a much shorter time frame. With the rapid development of the Internet of things, it has played an important role to track/monitor transmission movements throughout the population. The technology infrastructure between mobile devices, wearable devices and sensors, smart home device makes it possible to readily deploy solutions to monitor and collect data and perform analysis to ensure policy make intelligent, rapid decisions. This research combines AOL and Support Vector Machine to form the Internet of things cycle through smart home. The parameters of Support Vector Machine model are optimized by ALO algorithm, which shortens the learning time and improves the performance of classifier. Then, the algorithm of ALO is used to optimize the Support Vector Machine intrusion detection method and agent technology, and the intrusion detection model is established. Experimental results show that the combination of these two can effectively reduce the false alarm rate of network intrusion.
An information security analysis method of Internet of things based on balanced double SVM
Authors: Hongwei Zhu, , Xuesong Wang,
Published: September 2020

With the continuous progress of social science and technology, the development of the Internet of things is growing. With the development of Internet of things, security problems emerge in endlessly. During the period of COVID-19, the Internet of Things have been widely used to fight virus outbreak. However, the most serious security problem of the Internet of things is network intrusion. This paper proposes a balanced quadratic support vector machine information security analysis method for Internet of things. Compared with the traditional support vector machine Internet of things security analysis method, this method has a higher accuracy, and can shorten the detection time, with efficient and powerful characteristics. The method proposed in this paper has certain reference value to the Internet of things network intrusion problem. It provides better security for the Internet of things during the protection period of covid-19.
Pattern recognition of decorative elements based on neural network
Authors: Tingting Liang , Zhaoguo Liu , Wenzhan Wang
Published: September 2020

The Covid-19 first occurs in Wuhan, China in December 2019. After that, the virus has spread all over the world and at the time of writing this paper the total number of confirmed cases are above 11 million with over 600,000 deaths. The pattern recognition of complex environment can be used to determine if a COVID-19 breath pattern can be established with accuracy. The traditional decorative pattern detection method has a high degree of recognition in simple scene. However, the efficiency of decorative pattern detection in complex scenes is low and the recognition accuracy is not high. Firstly, the evaluation index of target detection method is designed. Through this paper, it is found that the success rate of some targets is naturally better than other targets, and easy to distinguish from the background. In order to improve the recognition success rate of the object in the complex environment and determine the position and attitude of the object, the pattern as the artificial identification in the environment is proposed. The interior art decoration pattern is selected as the experimental pattern and the pattern classification evaluation index is designed. The experimental results show that the method proposed in this paper can optimize the pattern subsets which are confused with each other and easy to distinguish from the background. It has a certain reference value for decorative pattern recognition in complex environment for COVID-19 epidemic.
Pattern recognition of wood structure design parameters under external interference based on artificial neural network with BIM environment
Authors: Qiuling Zheng , Ke Yang , Qiang Xu , Chenglong Zhang , Liguang Wang
Published: September 2020

Under the influence of novel corona virus pneumonia, the staff are controlled. Therefore, it is a difficult problem to measure the parameters of wood structure building on site. The measurement error of traditional wood structure parameters in complex environment is large, so an efficient and accurate measurement and recognition method is needed. In this paper, a method combining random decrement method and ITD method is proposed to measure the frequency, damping ratio and other structural dynamic parameters of ancient building timber structure under crowd random load excitation. In this paper, the frequency and damping ratio of the typical ancient building timber structure are predicted by using the artificial neural network model trained by the known data. The experimental results show that the population density has a great influence on the measurement of the dynamic parameters of the wooden structure of ancient buildings. Using this method, combined with the long-term monitoring data of temperature and humidity, the influence of various environmental factors on the dynamic characteristics of the structure can be analyzed. This provides data support for structural damage identification and health monitoring.
Color recognition of design object of manual decoration element based on convolution neural network under the impact of COVID-19
Authors: Guanggen Li , Matthews Andrew
Published: September 2020

The popularity of covid-19 has led to the introduction of the policy of controlling the flow of personnel, which has a certain impact on the color recognition of the design objects of hand decorative elements. In the past, the research on convolution neural network design and color recognition is still in the traditional method, and the field of computer vision is not really combined with the traditional decorative fabric. This paper proposes a solution based on deep learning. Color learning and main color recognition can be processed as a whole. By introducing convolution neural network, the scheme can learn color features directly from the image itself, and the process of artificial design features is omitted. While simplifying the process of model building and training, the potential information association can be obtained, so as to obtain better recognition effect. In addition, due to the deep depth of the network, this paper uses the initial optimization module to avoid the performance degradation and over fitting in the training process. This method has an important reference value for the color design of modern hand decoration, and can promote the development of hand decoration during the popularity of covid-19.
Economic benefit of shale gas exploitation based on back propagation neural network
Authors: Li Jiafeng , Hu Hui , Li Xiang , Jin Qian , Huang Tianhao
Published: September 2020

Under the influence of COVID-19, the economic benefits of shale gas development are greatly affected. With the large-scale development and utilization of shale gas in China, it is increasingly important to assess the economic impact of shale gas development. Therefore, this paper proposes a method for predicting the production of shale gas reservoirs, and uses back propagation (BP) neural network to nonlinearly fit reservoir reconstruction data to obtain shale gas well production forecasting models. Experiments show that compared with the traditional BP neural network, the proposed method can effectively improve the accuracy and stability of the prediction. There is a nonlinear correlation between reservoir reconstruction data and gas well production, which does not apply to traditional linear prediction methods
Integration of urban-rural planning and human geography for online education under the impact of COVID-19
Authors: Fengwei Ai, , Nan Wang,
Published: September 2020

At present, the normal teaching is seriously disturbed by the epidemic situation. In order to ensure the smooth progress of teaching, online teaching is a necessary way. Based on the current situation, this paper discusses the integration of urban and rural planning and human geography teaching in university courses. Based on the full analysis of the advantages of the original curriculum, this paper adjusts the curriculum of urban and rural planning and human geography. The new system focuses on the characteristics of “broad foundation and clear main line”, and follows the three main lines of “art, design and geography” to optimize the design. A questionnaire survey was conducted among 200 online students in our school and the data were processed by multidimensional BP neural network analysis. The experimental results show that the method proposed in this paper can improve the efficiency of online teaching.
Big data analysis and empirical research on the financing and investment decision of companies after COVID-19 epidemic situation based on deep learning
Authors: Jing Jing
Published: September 2020

The novel corona virus pneumonia has brought pressure on economic development. Large and medium-sized companies will also play a key role in the recovery of growth after the outbreak. Therefore, it is particularly important to pay attention to the impact of the epidemic on large and medium-sized companies and on the investment and financing of companies. Firstly, the structure of the network model of data analysis is designed in this paper, including the design of the network level, the selection of the number of neurons in each level, the determination of the initial weight and other related parameters. According to the design of network structure, the evaluation model of investment and financing of listed companies is established. Python is used to preprocess the data and train the sample data. By comparing the data processed by two training methods, the optimal network classification model is selected. The experimental results show that the proposed method can improve the effectiveness of investment and financing decisions of listed companies.
A line planning approach based on harmony search for high-speed rail: From the perspective of service accessibility
Authors: Song Zekun , Li Haodong , Shi Jintang
Published: September 2020

Service accessibility can be used to describe the travel time of passengers between different nodes, and opportunities to get transportation services in the high-speed railway (HSR) system. Based on the traditional train line planning theory, this paper introduces the transportation service accessibility index, and propose a new nonlinear passenger train line planning model, which aims to maximize the service accessibility, as well as minimize the operational cost of railway company. The model is transformed into a single-objective model, and then we design a harmony search algorithm to solve it. Finally, the model is validated by a numerical example. The results of this model as well as the scenarios of the single-objective models for minimizing operational costs and maximizing service accessibility are compared. From the perspective of service frequency and accessibility of each nodes, we know that the proposed method can balance conflicts between average speed between large nodes and service frequency of small and medium size nodes in high-speed railway network.
Covariance matrix adaptive strategy for a multi-objective evolutionary algorithm based on reference point
Authors: Wei Lixin , Zhang JinLu , Fan Rui , Li Xin , Sun Hao
Published: September 2020

In this article, an effective method, called an adaptive covariance strategy based on reference points (RPCMA-ES) is proposed for multi-objective optimization. In the proposed algorithm, search space is divided into independent sub-regions by calculating the angle between the objective vector and the reference vector. The reference vectors can be used not only to decompose the original multi-objective optimization problem into a number of single-objective subproblems, but also to elucidate user preferences to target a preferred subset of the whole Pareto front (PF). In this respect, any single objective optimizers can be easily used in this algorithm framework. Inspired by the multi-objective estimation of distribution algorithms, covariance matrix adaptation evolution strategy (CMA-ES) is involved in RPCMA-ES. A state-of-the-art optimizer for single-objective continuous functions is the CMA-ES, which has proven to be able to strike a good balance between the exploration and the exploitation of search space. Furthermore, in order to avoid falling into local optimality and make the new mean closer to the optimal solution, chaos operator is added based on CMA-ES. By comparing it with four state-of-the-art multi-objective optimization algorithms, the simulation results show that the proposed algorithm is competitive and effective in terms of convergence and distribution.
Artesanato e políticas públicas no Brasil:
Authors: Moraes Maria Dione Carvalho de , Seraine Ana Beatriz Martins dos Santos , Barbosa Carol
Published: September 2020

O termo artesanato , cuja raiz etimológica é o vocábulo arte, está envolto em hierarquias socialmente produzidas que atribuem a obras, artistas, artesãos e artesãs, posições diferenciadas, em meio à tensão conceitual entre artesanato e arte a qual se reflete no campo das políticas públicas, onde artesanato é uma atividade tratada ora na perspectiva da gestão pública da economia, ora na perspectiva das políticas de cultura. No Brasil, a abordagem das políticas públicas voltadas ao artesanato, considerando a natureza da atividade artesanal e as ambivalências conceituais a ela relacionadas, aponta alguns momentos paradigmáticos: a) até os anos 1970; b) dos anos 1970 aos 1990; c) dos anos 1990 aos 2000; e d) a partir dos anos 2000. Tendo em vista os limites e as possibilidades de tal periodização, aqui, ela é pensada como ferramenta heurística para refletir sobre o lugar da artesania na agenda pública e no país como um todo, em especial no que tange às relações entre artesanato, cultura e economia, com base tanto nas pesquisas já realizadas pelas autoras quanto naquelas ainda em curso no Estado do Piauí.
Desviaciones del catolicismo social en América Latina
Authors: Foyaca Manuel
Published: September 2020

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Humanismo marxista y humanitas cristiana
Authors: Agúndez Melecio
Published: September 2020

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Cooperación y orden nuevo
Authors: González Estéfani José Mª
Published: September 2020

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Noticias bibliográficas
Authors: Autores Varios
Published: September 2020

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Techno-economic assessment of grid-connected photovoltaic systems in Swedish public buildings
Authors: Gandhi Zahabia , Liu Hao
Published: September 2020

Sweden aims to achieve near-zero non-renewable energy use in all the newly constructed buildings from 2020. One of the most promising methods of achieving these energy goals and reducing the net energy-use is using solar photovoltaic (PV) systems in buildings. Although some studies have demonstrated this method, the solar PV industry is growing rapidly. Therefore, the study aimed at using sources with the latest information to analyse the true potential of PV systems for the current initial cost of the PV system and tax benefits in Sweden. The study investigates the economic feasibility of a grid-connected solar PV system from a technical and economic perspective for a group of public buildings in Sweden. The hourly energy production and cost of purchasing deficit electricity was simulated for various tilts and ground coverage area to find the optimum tilt and ground coverage ratio of PV panels. The PV energy supply of four different systems – 26 kWp, 75 kWp, 80 kWp, 155 kWp – in different locations was simulated. The overproduction, own usage rate, solar fraction, investment cost, profit over its lifespan and the payback period of each system were compared for the existing as well as improved energy use. Honeybee 0.0.64 and SAM 2018.11.11 was used to simulate energy use and PV production. Results indicate that a system with a high own usage rate and specific yield was profitable when the selling price of electricity (excluding tax refund) was lower. However, a system with a higher production potential became more profitable when the selling price of electricity (including tax refund) was equal or higher than the purchasing price. Additionally, a sensitivity analysis was conducted to demonstrate the feasibility of the system if the price of electricity or interest rates changed in the future. The outcome of this research demonstrates the techno-economic feasibility of implementing a solar PV system in Sweden and provides a set of benchmarks for comparison of such systems around the world.
Massive retroperitoneal haematoma because of renal cyst rupture, report of a case
Authors: Alonso Plaza Óscar , Andrés González Carlos , Mantilla Ana María , Puentes Brayan Andrés
Published: September 2020

An exhaustive investigation is carried out on the cause of death of this pedestrian, carrying out an extensive bibliographic search taking into account the pathophysiology of trauma for this type of accident, and then making a clinical-pathological correlation of the series of events that concluded with the death of this person and its applicability in trauma services.
The main principles and results of pollution monitoring of sediments in the river basin
Authors: Korzhenevsky B. , Tolkachev Gleb , Kolomiycev Nikolay
Published: September 2020

The problems of modern geological ecology associated with the study of pollution of sediments of water bodies by heavy metals are considered. The Volga River basin is quite heterogeneous, both in geomorphological and hydrological terms, and in thechnogenical development and usage. A fourrank taxonomy is presented for the selection of sites for monitoring, based on a combination of natural, landscape, climatic and thechnogenical factors. To the largest – the highest taxon – sites of the Ist category – bowls of reservoirs with the slopes and the urban zones, industrial and agricultural structures located within them are carried. Within these areas are allocated to smaller taxa, areas category IInd are the industrial and urban zones, areas category IIIrd are the small rivers without significant contamination and areas category IVth to conduct special observations. The examples of special observations in the study of the annual migration of heavy metals in the system «bottom sediments – water column» on the Ivankovo reservoir are highlighted. The investigations were carried out under the conditions of the standard flow rate for this reservoir and in the conditions of slow water exchange.
Geosystem evaluation of genetic and meliorative peculiarities of soils of sodal salinization
Authors: Ustinov Mihail , Glistin Mihail
Published: September 2020

It is considered one of the most important problems in land reclamation is the assessment of soda salinization of soils. On the basis of long-term research on the genetic and meliorative properties of the Western Siberia soils, methodological approaches have been given to assessing soda salinization of soils. In the assessment methodology, along with the principle of sodification (congestion and accumulation of soda), depending on the quality of irrigation water, where the processes of metamorphism of the systems of salts and solutions and waters proceed only under the condition ensuring of the forming systems CO3 + HCO3 > Ca2+ + Mg2+, is used the method of soil resistance evaluation. Soil resistance reveals their immunity to soda salinization. Such geosystem evaluation of soil soda salinization has proved its ecological and economic efficiency, revealing the full range of their genetic and land reclamation features.
Fertility of peat soils in Western Siberia
Authors: Motorin Aleksandr
Published: September 2020

The smallest moisture capacity in medium-thick peat soil in a meter layer is 671,2 mm, which is 19,3 % more than that of low-power and 38,9 % peat-gley soil. During the formation of the first mowing of perennial grasses, the moisture reserves in the 0,5‑meter layer were always in the optimal range (0,7–0,9 HB). The lack of moisture during deep occurrence of groundwater (1,2–1,6 m) causes a decrease in the yield of the second mowing of perennial grasses by 46–89 % in peat-gley soil and 25–40 % in medium-power soil. The arable layer of peaty-gley soil contains 4,4 times more nitrates than the average power. Without fertilizing after 3 years, the amount of nitrate nitrogen in peaty-gley soil is reduced by 1,9 times, low- and medium-power soil – by 2,3–2,4 times. The amount of nitrate nitrogen is more than that of ammonia, in peat-gley soil 4 times, low-power – 3,5 times. Reserves of available phosphorus in the arable layer of peaty-gley soil are 2,5 times greater than in lowpower, and 3,1 times in average power. Without fertilizing after 4 years, in the arable layer of peaty-gley soil under perennial grasses, the content of available phosphorus decreased by 45,4 %, in low-power – by 20,5 %, in medium-power – by 15,8 %. The advantage in potassium reserves in the arable layer belongs to peaty-gley soil and is due to its high content in the underlying mineral peat. In peaty-gley soil, the decrease in potassium reserves down the profile is 1,6 times; in thin soil – 3,2 times; average power – 2,5 times. Hay productivity of perennial grasses on peaty-gleyic soil is respectively higher by 8.3 and 24,5 % than on low- and medium-power peaty soils. A crucial role in increasing the yield of herbs and gaining increases is played by the nutritional regime.
Cold bitumen-polymer compositions for anticorrosive and sealing protection of structural elements of hydraulic structures
Authors: Petrov Andrey
Published: September 2020

This article discusses the improvement of the known waterproofing composition in order to provide technological advantages in the production of material in the field.
Transformation of evaluation criteria of lands withdrawn from agricultural turnover due to radioactive contamination
Authors: Merzlova Olga
Published: September 2020

One of the measures to eliminate the consequences of the Chernobyl accident was the exclusion of highly contaminated land from agricultural use. Due to the positive dynamics of the radiation situation, the issue of land return becomes relevant. However, in the period of exclusion of these lands the land clearance degradation processes were developing. The second part of the article is devoted to the issue of economic evaluation of the expediency of land return and the mutual coordination of the results of separate stages of complex ecological and economic evaluation. The research was carried out in Mogilev branch Institute of radiology (Republic of Belarus).
Aplikasi Pelacakan Alumni STMIK AKAKOM Berbasis Sistem Informasi Geografis
Authors: Iskandar Edi , Sari Dini Fakta
Published: September 2020

Alumni is a product of an educational institution. The quality of the alumni shows the quality of the educational institution. The fact is increasingly felt, especially for college alumni. This is because alumni of college will directly come into contact with the world of work.

Tracer study activity is one of the activities that have a very strategic value in the development of a college. STMIK Akakom is one of the universities in the city of Yogyakarta is required to always mempebaiki quality of education process accompanied by efforts to increase its relevance in the framework of global competition. In addition Tracer study is one effort that is expected to provide information to evaluate educational outcomes in STMIK Akakom. This information is used for further development in ensuring educational quality.

This research produces alumni application of STMIK Akakom alumni by utilizing Geographic information system to map the location where alumni work, besides that it also displays alumni data in the form of year of admission, graduation year, long waiting time to work first after graduation
Cenne i rzadkie polskie superekslibrisy heraldyczne ze zbiorów Biblioteki Narodowej Rosji w St. Petersburgu
Authors: Korolev Sergej V.
Published: September 2020

Książki oznaczone polskimi superekslibrisami, znajdujące się w zespole druków zachodnioeuropejskich Rosyjskiej Biblioteki Narodowej, pochodzą nie tylko z Biblioteki Załuskich w Warszawie. Dowodzi tego materiał źródłowy opublikowany przez Autora stanowiący prezentację (zdjęcie z opisem) ułożonych alfabetycznie 24 superekslibrisów, w tym m.in.: poety, dyplomaty, biskupa warmińskiego Jana Dantyszka (1485-1548); biskupa krakowskiego, kanclerza wielkiego koronnego Samuela Maciejowskiego (1499-1550); biskupa płockiego, kanclerza wielkiego koronnego, dyplomaty, bibliofila Piotra Wolskiego-Dunina (1531-1590); działacza reformacyjnego, parlamentarzysty Mikołaja Dłuskiego (ok. 1540-1584); dyplomaty Samuela Łaskiego (po 1553-1611); arcybiskupa lwowskiego, dyplomaty, bibliofila Jana Andrzeja Próchnickiego (1553-1633); profesora i podkanclerzego Akademii Krakowskiej Stanisława Bątkowskiego (zm. 1617), biskupa krakowskiego, kanclerza wielkiego koronnego Jakuba Zadzika (1582-1642); królowej polskiej, żony Jana III Sobieskiego Marii Kazimiery de la Grange d`Arquien (1641-1716); marszałka wielkiego koronnego Franciszka Bielińskiego (1683-1766).
Fizikalno-kemijska svojstva soka različitih sorti jabuka
Authors: Voća Sandra , Galić Ante , Boić Mislav , Skendrović Babojelić Martina , Šic Žlabur Jana
Published: September 2020

Cilj rada bio je analizirati i usporediti nutritivnu kvalitetu mutnih, svježe cijeđenih sokova iz plodova četiriju različitih sorti jabuka: 'Idared', 'Jonagold', 'Golden Delicious' i 'Cripps Pink'. S obzirom na analizirani mehanički sastav utvrđeno je da najbolje iskorištenje ploda za dobivanje soka ima sorta 'Idared' (45,51%), zatim slijedi sorta 'Golden Delicious (44,22%), 'Jonaglod' (36,56%) te sorta 'Cripps Pink' (25,75%). Prema rezultatima dobivenim u ovom istraživanju sok sorte 'Golden Delicious' pokazuje najveći omjer TST/UK, zatim sok sorte 'Jonagold', 'Idared', dok je najmanji omjer utvrđen kod soka sorte 'Cripps Pink'. Najveći sadržaj vitamina C (6,75 mg/100g svježeg ploda) kao i najveći sadržaj ukupnih fenola (55,84 mgGAE/100 g svježe tvari) utvrđeni su u soku sorte 'Jonagold' Temeljem dobivenih rezultata može se zaključiti da su plodovi svih istraživanih sorti pogodni za proizvodnju mutnog soka, ali i da mogu biti dobra podloga za proizvodnju ostalih sokova od raznih vrsta voća
Changes in Phytochemicals and Determination of Optimum Fermentation Time during Black Tea Manufacturing
Authors: Rahman M. M. , Hossain M. M. , Das R. , Ahmad I.
Published: September 2020

Black tea processing consists of four steps, namely withering, CTC, fermentation and drying, while cup quality made tea mostly controlled by fermentation step. This study evaluated biochemical changes at different stages of black tea processing in Bangladesh and determined the optimum fermentation time. Samples were collected from different tea processing stages to measure major phytochemicals and time intervals during fermentation to measure theaflavins and thearubigins ratio. Caffeine content was the least susceptible to processing steps. Biochemical changes started at withering, cell maceration and enzymatic oxidation started at CTC processing, thus the major reduction in the reducing sugar (20.46 to 04.95 ppm), catechin (16.88 to 7.95 ppm) and polyphenol (42.30 to 30.73 ppm) occurred here. The significant changes appeared during fermentation when polyphenol content decreased from 44.66 to 18.23 and catechin from 17.41 to 03.98 ppm due to the breakdown of these compounds to theaflavins (TF) and thearubigins (TR). The TF and TR ratio increased with fermentation time, and the highest of 1:8.4 was found at 50 min, which turned into 1:10 in the final product. The made tea quality parameters were comparable or better at fermentation time of 50 min than the quality of the black tea available in market.
Solving Some Differential Equations Arising in Electric Engineering Using Hermite Polynomials
Authors: Singh G. , Singh I.
Published: September 2020

In this paper, a collocation method based on Hermite polynomials is presented for the numerical solution of the electric circuit equations arising in many branches of sciences and engineering. By using collocation points and Hermite polynomials, electric circuit equations are transformed into a system of linear algebraic equations with unknown Hermite coefficients. These unknown Hermite coefficients have been computed by solving such algebraic equations. To illustrate the accuracy of the proposed method some numerical examples are presented.
Effect of Sn Incorporation on Physical Parameters of Sb-Se Glassy System
Authors: Khajuria R. , Sharma A. , Sharma P.
Published: September 2020

The rationale of this study is to investigate band gap tailoring of Sb-Se-Sn chalcogenide glasses. This study has been accompanied by the assessment of various theoretical parameters such as average co-ordination number, Lone-pair of electrons, number of constraints, average heat of atomization, mean bond energy and glass transition temperature. It has been observed that almost all these physical parameters have been enhanced with the increase in tin (Sn) content except Lone-pair of electrons. The number of lone-pair electrons has been decreased with the increase in Sn content. The glass transition temperature has been observed to increase due to the addition of Sn atom in the Se-Sb glassy system. The band gap is decreasing with increase in Sn content due to overall decrease in the average single bond energy of the Sb-Se-Sn glassy system.
Investigation of Magnetic and Optical Properties of Mn-Doped SnO2 at Different Annealing Temperatures
Authors: Negi S. , Sharma A. , Sharma P.
Published: September 2020

In this paper, a systematic investigation has been done to study the effect of variation in annealing temperature on magnetic and optical properties of Mn-doped SnO2. Co-precipitation technique has been used to synthesize Sn1-xMnxO2 samples with low Mn concentration (2 %). Pristine SnO2 is sintered at 350 oC. Mn-doped SnO2 samples are sintered at 350, 450, 550 and 650 oC. The structures of tetragonal rutile of SnO2 and Mn-doped SnO2 have been confirmed by the XRD pattern. Typical ferromagnetic ordering has been observed for Mn-doped SnO2 samples annealed at different temperatures. However, on increasing the annealing temperature saturation magnetization as well as the coercive field decreases, indicating a crucial phase transformation from ferromagnetism to paramagnetism. UV-Vis spectroscopy shows increase in absorbance and a slight shift in the absorption edge with Mn-doping at increasing annealing temperature indicating shifting of absorption peak towards higher wavelength. Tauc’s plot has been used to find the optical band gap (Eg).
Design of Hybrid Blind Detection Based Spectrum Sensing Technique
Authors: Sharma V. , Joshi S.
Published: September 2020

Cognitive Radio is a boon to efficient utilization of spectrum to meet the demand of next generation. Spectrum Sensing (SS) is an active research area, essential to meet the requirement of efficient spectrum utilization as it detects the vacant bands. This paper develops a Hybrid Blind Detection (HBD) technique for cooperative spectrum sensing which combines the Energy Detector (ED) and the Anti-Eigen Value Detection (AVD) techniques together to enhance the detection accuracy of a cognitive radio. Collaboration among the cognitive users is achieved to reduce the error and hard fusion based detection is implemented to detect the existence of primary user. The detection accuracy of the design is evaluated with respect to detection probabilities and the results are examined for improvements with the traditional two stage detection techniques. Fusion rules for the cooperative environment are implemented and compared to detect majority rule suitable for the proposed design.
Solid State Fermentation of Maize (Zea mays) Offal by Rhizopus oligosporus under Acidic and Basic Conditions
Authors: Anigboro A. A. , Aganbi E. , Tonukari N.  J.
Published: September 2020

Maize offal, a by-product of maize milling industry that constitutes environmental pollution is under-utilized. This study investigated the effect of solid state fermentation on maize offal using Rhizopus oligosporus under acidic and basic conditions (pH range of 3 to 9). Soluble proteins content, glucose and amylase activity of the fermented by-products were evaluated after five days’ period of fermentation. The result showed a significant increase in soluble proteins content at pH 3, glucose at pH 6 and amylase activity at pH 7 when compared with the control (P < 0.05). This showed that solid state fermentation improves the nutritional value of maize offal at different pH values. Thus, livestock feeds formulation industries could harness this process in the utilization of maize offal for poultry, other farm animal feeds and food fortification for protein enhancement thereby, preventing environmental pollution.
Sumudu Decomposition Method for Solving Fractional Bratu-Type Differential Equations
Authors: Manjare N. B. , Dinde H. T.
Published: September 2020

The purpose of this paper is to introduce Sumudu decomposition method for solving Fractional Bratu-type differential equation. This method is a combination of the Sumudu transform and Adomian decomposition method. The fractional derivative is described in the Caputo sense. The Sumudu decomposition method is applied to obtain approximate analytical solution of non-linear Fractional Bratu-type differential equation. A novel combination of Sumudu transform and Adomian decomposition provides approximate solution in the form of infinite convergent series solution. The behavior of approximate analytical solutions and exact solutions for different values of α are plotted graphically. The results acquired from Sumudu decomposition method indicates that the proposed method is very well founded, suitable and effective. Finally, some numerical examples are given to illustrate the efficiency and applicability of our method.
Australian Group on Antimicrobial Resistance (AGAR) Australian Enterococcal Sepsis Outcome Programme (AESOP) Annual Report 2019
Authors: Coombs Geoffrey W , Daley Denise A , Mowlaboccus Shakeel , Pang Stanley
Published: September 2020

From 1 January to 31 December 2019, thirty-nine institutions around Australia participated in the Australian Enterococcal Sepsis Outcome Programme (AESOP). The aim of AESOP 2019 was to determine the proportion of enterococcal bacteraemia isolates in Australia that were antimicrobial resistant, and to characterise the molecular epidemiology of the E. faecium isolates. Of the 1,361 unique episodes of bacteraemia investigated, 95.2% were caused by either E. faecalis (51.4%) or E. faecium (43.8%). Ampicillin resistance was not detected in E. faecalis but was detected in 91.1% of E. faecium. Vancomycin non-susceptibility was detected in 0.1% of E. faecalis and in 41.8% of E. faecium. Overall, 45.4% of E. faecium harboured vanA and/or vanB genes. For the vanA/vanB positive E. faecium isolates, 49.1% harboured vanA genes only and 50.6% vanB genes; 0.3% harboured both vanA and vanB genes. The percentage of E. faecium bacteraemia isolates resistant to vancomycin in Australia is substantially higher than that seen in most European countries. E. faecium consisted of 78 multilocus sequence types (STs), of which 75.0% of isolates were classified into six major STs containing ten or more isolates. All major STs belong to clonal cluster (CC) 17, a major hospital-adapted polyclonal E. faecium cluster. The predominant STs (ST1424, ST17, ST796, ST80, ST1421, and ST78) were found across most regions of Australia. The most prevalent clone was ST1424, which was identified in all regions except the Northern Territory and Western Australia. Overall, 51.4% of isolates belonging to the six predominant STs harboured vanA or vanB genes. In 2019, AESOP has shown that enterococcal bacteraemias in Australia are frequently caused by polyclonal ampicillin-resistant high-level gentamicin-resistant vanA or vanB E. faecium which have limited treatment options.
Altıncı Sınıf Tam Sayılar Konusunda Uygulanan Gerçekçi Matematik Eğitiminin Öğrencilerin Matematik Motivasyonlarına Etkisi
Authors: BERKANT Hasan Güner , YAREN Rümeysa
Published: September 2020

Bu araştırmanın amacı, altıncı sınıf öğrencilerine tam sayılar konusunun öğretiminde uygulanan gerçekçi matematik eğitiminin öğrencilerin matematik motivasyonlarına etkisini incelemektir. Araştırma Kahramanmaraş iline bağlı Dulkadiroğlu ilçesindeki bir ortaokulun altıncı sınıfında öğrenim gören 27'si deney grubu, 28'i kontrol grubu olmak üzere toplam 55 öğrenci ile gerçekleştirilmiştir. Deney grubuna tam sayılar konusunda gerçekçi matematik eğitimine göre hazırlanmış matematik öğretim programı, kontrol grubuna ise Milli Eğitim Bakanlığı tarafından hazırlanan matematik öğretim programındaki tam sayılar konusuyla ilgili etkinlikler 15 ders saati uygulanmıştır. Araştırmada öntest-sontest kontrol gruplu yarı deneysel desen uygulanmıştır. Araştırmada veri toplama aracı olarak "Matematik Motivasyon Ölçeği" kullanılmıştır. Araştırma sonucuna göre gerçekçi matematik eğitimi, deney grubu öğrencilerinin matematik motivasyonlarını grup içinde etkilememiştir. Bununla birlikte gerçekçi matematik eğitimi, tam sayılar konusunda deney grubundaki öğrencilerin matematik motivasyonu sontest puanları üzerinde kontrol grubundaki öğrencilerin matematik motivasyonu sontest puanlarına kıyasla daha etkili olmuştur.