bluuebunny/crossref_metadata_2025 huggingface dataset:
Network Interaction of Universities in the Context of the Russian Arctic Development
Authors: Kudryashova E. V. , Nenasheva M. V. , Saburov A. A.
Published: July 2020

The article considers network interaction of Russian universities to solve strategic problems of macroregions development. Network interaction is a common model of cooperation between universities abroad, and in recent years, in connection with the new challenges facing Russian education, it has become relevant for Russian universities. The article briefly presents the main forms of organization and methods of managing network interaction, its advantages over traditional types of joint activities of universities. Based on the four years of work in the framework of the Association “National Arctic Research and Education Consortium” (NAREC), the authors analyze the experience of cooperation between universities in the interests of the development of the Arctic zone of the Russian Federation. Four key areas of activity are considered: 1) expert and analytical support of personnel training and research; 2) Arctic-focused educational programs and projects; 3) support and promotion of scientific research on Arctic topics among students; 4) creation of joint information space. The article demonstrates the significant results of their implementation for each of these directions. These include monitoring the state of training of personnel with higher education and developing professional standards, developing educational products, including network programs and mass open online courses on Arctic topics, participating in international projects, conducting a national competition for student papers, as well as accumulating information related to training and research on Arctic topics. Based on the best practices of the Association “NAREC” and the difficulties encountered in the implementation of the network interaction model, the authors formulated practical recommendations for the development of interregional scientific and educational cooperation.
Knowledge Visualization Centers and University Infographics: International and Domestic Experience
Authors: Makulin A. V. , Korzina M. I.
Published: July 2020

Infographics as a young science of converting massive volumes of knowledge into concise emergent visualizations, i.e. the methodology that works with transcoded knowledge, has become capable, at the digital stage of its own evolution, to integrate the most diverse fields of knowledge. This is possible due to the advantages that the graphic language provides along with all other ways of expressing and formalizing knowledge. The potentials of infographics for the university environment provide an opportunity to visually operate with vast volumes of knowledge, to search for new interdisciplinary nexus-points and heuristic intersections in the network structure of university science. Along the way, the problems of inventive tasks and the promotion of scientific knowledge are solved through digital infographic visualizations on the Internet, within and between universities. The article develops an idea of socio-epistemological and interdisciplinary potentials of the phenomenon of scientific and philosophical infographics for the sustainable growth of the competitive advantages of the Russian education system. The authors analyze the world and domestic experience in infographics functioning in science, business, management and consider a new project for a domestic university education on creating a knowledge visualization center on the example of a particular university. The authors give the examples of successful international data visualization projects and pay particular attention to the creation of a holistic interdisciplinary catalog of infographics. University digital library can serve as a source of databases and potentials of the visualization center, as a tool for visualizing this data. The authors discuss the possibility of infographic expertise procedure formation as a new methodology for analyzing and improving various program documents, social development programs, business projects, and dissertations. The article makes the case for developing infographic competencies of innovation actors in education, business and public administration.
Potential of International Project Activity for University Development
Authors: Kudryashova E. V. , Zarubina L. A. , Popkova S. V. , Baykina N. V.
Published: July 2020

In the context of global competition, Russian universities search for the most efficient solutions to achieve competitiveness in the global market. The particular challenges that Russian universities face today include enhancing the quality of education and research, development of export potential, integration into international academic environment, diversification and search for new financial sources. The article considers international project activity as the most efficient tool of university internationalization process and solving the university tasks. Fundraising and international projects provide substantial support for achieving the set objectives in terms of both allocating additional financial resources and attracting intellectual capacity of international partners. Due to such features as practice orientation, time limits, and the ability to integrate different types and forms of international cooperation, the projects help university to address the challenges in a complex way and achieve multiple effects and, therefore, contribute significantly to developing world-demanded research, creating scholars networks and publishing, strengthening international partnerships, capacity building, enhancing academic mobility, developing the university campus and its infrastructure. The authors present the management model of international fundraising and projects implementation at Northern (Arctic) Federal University named after M. Lomonosov, describe specific features of carrying out research and educational projects in cross-cultural context (also within the framework of cross-border cooperation in Barents Euro-Arctic Region). The article outlines the competences required for successful project implementation, gives examples of NArFU international projects aimed at solving challenges in the Arctic Region. The efficiency of the given management model is analyzed, also by presenting the results of sociological survey made with involvement of the projects participants.
Well-posedness and decay property of regularity-loss type for the Cauchy problem of the standard linear solid model with Gurtin–Pipkin thermal law
Authors: Wang Danhua , Liu Wenjun
Published: July 2020

In this paper, we consider the Cauchy problem related to the standard linear solid model with Gurtin–Pipkin thermal law in the whole space. Under some assumptions on the relaxation function g, we establish the well-posedness result by using semigroup theory. Besides, by using the energy method in the Fourier space, we prove the decay estimate result under the non-critical case. Our result indicates that the decay property is of the regularity-loss type, which is in line with the decay property of Cattaneo system.
Combinatorial Algorithms for Binary Operations on LR-tableaux with Entries Equal to 1 with Applications to Nilpotent Linear Operators
Authors: Kaniecki Mariusz , Kosakowska Justyna
Published: July 2020

In the paper we investigate an algorithmic associative binary operation * on the set ℒℛ1 of Littlewood-Richardson tableaux with entries equal to one. We extend * to an algorithmic nonassociative binary operation on the set ℒℛ1 × ℕ and show that it is equivalent to the operation of taking the generic extensions of objects in the category of homomorphisms from semisimple nilpotent linear operators to nilpotent linear operators. Thus we get a combinatorial algorithm computing generic extensions in this category.
BCK-codes Based on a Parity Check Matrix
Authors: Keshavarzian Nazanin , Borumand Saeid Arsham , Tehranian Abolfazl
Published: July 2020

Hamming codes are of primary concern in information theory and its applications. Despite a number of researches that have been conducted on such codes and their characterizations, dealing with the properties of previously introduced codes in a BCK-algebraic framework has not been considered in earlier works. This paper investigates a code constructed based on BCK-algebraic models and proposes an algorithm corresponding to the presented code. It is noticeable that the suggested rendered algorithm is also established on the basis of the elements of a BCK-algebra. In fact, both the Hamming distance and dimension, associated with the presented code, can be estimated through a BCK-algebra structure due to the mechanism of its algorithm which is heavily dependent on the parity check matrix. In addition, the way in which the codes are designed contributes substantially to classification of them and to extract greater number of their attributes compared to the previous works. The highlight of the proposed method is that the number of atoms of the BCK-algebra plays a key role in calculation of the Hamming distance and dimension of these codes. Moreover, the obtained codes possess specified and recognizable Hamming distance which are essential in performing error-correcting, error-detecting and decoding tasks.
Minimal Base for Finite Topological Space by Matrix Method
Authors: Lin Yidong , Li Jinjin , Peng Liangxue , Feng Ziqin
Published: July 2020

Topological base plays a foundational role in topology theory. However, few works have been done to find the minimal base, which would make us difficult to interpret the internal structure of topological spaces. To address this issue, we provide a method to convert the finite topological space into Boolean matrix and some properties of minimal base are investigated. According to the properties, an algorithm(URMB) is proposed. Subsequently, the relationship between topological space and its sub-space with respect to the base is concentrated on by Boolean matrix. Then, a fast algorithm(MMB) is presented, which can avoid a mass of redundant computations. Finally, some numerical experiments are given to show the advantage and the effectiveness of MMB compared with URMB.
A Propositional Metric Logic with Fixed Finite Ranges
Authors: Djordjević Radosav , Ikodinović Nebojša , Stojanović Nenad
Published: July 2020

The aim of this article is developing a formal system suitable for reasoning about the distance between propositional formulas. We introduce and study a formal language which is the extension of the classical propositional language obtained by adding new binary operators D≤s and D≥s, s ∈ Range, where Range is a fixed finite set. In our language it is allowed to make formulas of the form D≤s( α; β) with the intended meaning ’distance between formulas α and β is less than or equal to s’. The semantics of the proposed language consists of possible worlds with a distance function defined between sets of worlds.
Is there a business case for board diversity? An investigation of UK’s FTSE 100 companies
Authors: Halcro Keith , Ben Noamene Tarek , Chaher Dorsaf , Talib Ayman
Published: July 2020

BACKGROUND: This paper examines the effects of a board’s diversity on firm financial performance using a sample of 76 companies listed on FTSE100 over the period 2010–2015. This period reflects the years following the financial crisis of 2008 when mounting criticism emerged that weak corporate governance partly explained The Financial Crisis. It is suggested that the Board of Directors’ composition may have played a pivotal role in the Crisis and that Boards that better reflect society perform better. OBJECTIVE: This research examines the impact of gender, age, nationality, and presence of independent directors on firm performance. METHODS: Data on board characteristics were collected from Hemscott, as well as information from the companies’ annual reports and financial database FAME. Using the Generalized Method of Moments, the data were assessed to examine board diversity and firm financial performance. RESULTS: This study consists of 456 observations from 76 listed FTSE 100 companies during the period 2010–2015. Twenty-four companies were excluded due to missing data that related to directors’ attributes after controlling for firm characteristics, board structure, and potential endogeneity issues, the findings support the business case for gender and nationality board diversity. However, no significant associations were found between firm financial performance and board age diversity or board independence. CONCLUSION: This study, although British based, joins a growing global body of evidence that more diverse boards improve firm performance. It is incumbent on practitioners, decision-makers, and politicians to educate and persuade firms’ directors of the merits of more diverse boards.
BeBe, SYS-10, Inc., and computer chess
Authors: Scherzer Linda
Published: July 2020

BeBe was one of the highest-performing chess programs of the 1980s. This article relates some of the fond computer chess memories from Linda Scherzer, co-author of BeBe.
Homocysteic Acid in Blood Can Detect Mild Cognitive Impairment: A Preliminary Study
Authors: Hasegawa Tohru , Kosoku Yoshinori , Sano Yuka , Yoshida Hiroshi , Kudoh Chiaki , Tabira Takeshi
Published: July 2020

Background: In the treatment of Alzheimer’s disease (AD), it is thought to be most effective to intervene at the earliest and mildest stages. For diagnosis at the earliest and mildest stages, it is desirable to use a biomarker that can be detected by a minimally invasive, cost-effective technique. Recent research indicates the potential clinical usefulness of plasma amyloid-β (Aβ) biomarkers in predicting brain Aβ burden at an individual level. However, it is as yet unproven that accumulation of Aβ necessarily leads to the development of AD. Objective: Homocysteic acid (HCA) is useful as an early diagnostic marker for mild cognitive impairment (MCI), a pre-stage of AD. Methods: We measured the concentration of HCA, tumor necrosis factor alpha, cortisol, tau, and phosphorylated tau (p-tau) in patients’ plasma of 22 AD, 23 MCI, and 9 negative control (NC) cases. Results: Plasma HCA was shown to be very high in areas under the receiver operating characteristic curves (AUC), distinguished between MCI and NC; when 0.116μM was chosen as the analyte concentration cut-off, the sensitivity was 95.7% and the specificity was 70%. Conclusion: Our results suggest that plasma HCA may be a useful indicator as an early diagnostic marker for MCI. HCA seems to be upstream from neurodegeneration in the AD pathology because it is known that an overactive NMDA receptor promotes amyloid polymerization and tau phosphorylation in AD.
RETRACTED: The Iron Chelator Deferiprone Improves the Phenotype in a Mouse Model of Tauopathy1
Authors: Rao Shalini S. , Portbury Stuart. D. , Lago Larissa , Bush Ashley I. , Adlard Paul A.
Published: July 2020

This article has been retracted, and the online PDF has been watermarked “RETRACTED”. A retraction notice is available at DOI: https://dx.doi.org/10.3233/JAD-239009.
Determining the initial and subsequent impact of artificial intelligence adoption on economy: a macroeconomic survey from ASEAN
Authors: Somjai Sudawan , Jermsittiparsert Kittisak , Chankoson Thitinan
Published: July 2020

The adoption of AI is an ongoing phenomenon in today’s economy in all the industries. The purpose of this paper is to examine the economic impact of AI adoption in the region of ASEAN. To achieve this objective, structural questionnaire was developed for the various industry experts in targeted region. A sample of 240 experts was finally obtained over a time span of 6 weeks through online structural questionnaire approach. For measuring AI adoption, twelve items, initial economic impact (seven items), and subsequent economic impact (six items) were finally added in the questionnaire. For analyses purpose, descriptive statistics, structural equation modelling, and regression analyseswereapplied, examining the both initial and subsequent economic impact of AI adoption. Findings through structural model indicates that overall both initial and subsequent impact are significantly determined by AI adoption in related industries. Additionally, in depth analyses for the individual AI items as their initial and subsequent economic impact indicate that Usage of the data for AI adoption, clear strategy for AI adoption, successful mapping for AI adoption and overall positive attitude towards AI adoption have their significant and positive influence on initial economic indicators. Whereas, as per subsequent economic impact, factors like effective usage of data for AI adoption, assessing the right skills of individuals for AI adoption and positive attitude towards AI adoption are significantly impacting on material investment, capital investment, increasing unemployment, higher economic output, higher return on capital and higher wages for the existing labor. These findings have provided an outstanding evidence in the field of AI and its economic impact in the region of ASEAN and can be considered as initial contribution in related fields. Both industry exports and macroeconomic decision makers can significantly utilize the findings to develop their conceptual framework and understanding for the integration between AI adoption and economy. Additionally, this study can work as reasonable justification for implementing the more adoption of AI in various industries as it has positive economic outcome (both initial and subsequent). However, one of the key limitations of this study is limited sample size and only 240 industry exports were targeted from selected industries in ASEAN. Future study could be reimplemented on similar topic with expanding the sample size for better findings and more generalization.
Research on economic function data and entrepreneurship analysis based on machine learning and computer interaction platform
Authors: Nie Xueling
Published: July 2020

Big data has the characteristics of rapid data flow, massive data scale, dynamic data system, and various data types, and it has become increasingly apparent in improving innovation and entrepreneurship data analysis, trend prediction, and decision support. In this paper, the authors analyze the economic function data and entrepreneurship analysis based on machine learning. The support vector pair is very sensitive to the choice of parameters, and the parameters obtained using the genetic algorithm will greatly improve the accuracy of the model prediction. When using the genetic algorithm to find parameters, the cv method is used for verification. By applying big data technologies and platforms, it can provide strong data support to establish entrepreneurship education; integrate and integrate various types of innovation and entrepreneurship data, improve the quality of data collection.At the same time, through big data mining and analysis, accurately determine market demand hotspots and innovation and entrepreneurship trends, and promote scientific planning of innovation and entrepreneurship strategies. The research results show that this research model can be applied to actual projects in the future, and help investors better understand the changes of market economy.
Research on pre-competition emotion recognition of student athletes based on improved machine learning
Authors: Guo Chunfeng
Published: July 2020

There are currently few studies on the stress of athletes, so it is impossible to provide effective stadium guidance for athletes. Based on this, this study combines machine learning algorithms to identify athletes’ pre-game emotions. At the same time, this study obtains the data related to the research through the survey access form and obtains the physiological parameters of the athletes under stress in the experimental way and processes the physiological parameters of the athletes with the machine learning algorithm. In order to improve the efficiency of data processing, this study improves the traditional machine learning algorithm, and combines the particle optimization algorithm with the support vector machine to realize the effective recognition of the athlete’s physiological state. In addition, through the experimental method combined with the contrast method, this paper compares the performance of the improved algorithm with the traditional algorithm and combines the data analysis to analyze the test results. Finally, this study analyzes the effectiveness of the proposed algorithm by example analysis. The research shows that the proposed algorithm has better performance than the traditional algorithm and has certain practical significance and can provide theoretical reference for subsequent related research.
Recognition of English spoken stressed syllables based on natural language processing and endpoint detection algorithm
Authors: Qiwen Zhang
Published: July 2020

The traditional stress evaluation method cannot describe the chaotic characteristics of speech signals well or cannot fully approximate the complex nonlinear relationship between features, so that the exact location of stress cannot be accurately determined. In order to improve the recognition of spoken English stressed syllables, this study established a word stress recognition model. The model can accurately recognize the stressed syllables in the words and calculate the fundamental frequency change trajectory of the language tones using the fundamental frequency scaling function. According to this trajectory and using the time domain fundamental frequency synchronization superposition algorithm to modify the fundamental frequency parameters in the DIVA model motion instruction, the spoken language learner can master the rhythm in the spoken language. In addition, this study sets up experiments to study the effects of the model. The results show that the stress recognition model established in this paper has good reliability and stability.
Research on athlete training behavior based on improved support vector algorithm and target image detection
Authors: Min Jiang
Published: July 2020

In view of the defects and shortcomings of the traditional target detection and tracking algorithm in accurately detecting targets and targets in different scenarios, based on the current research status and technical level of target detection and tracking at home and abroad, this paper proposes a target detection algorithm and tracking method using neural network algorithm, and applies it to the athlete training model. Based on the Alex-Net network structure, this paper designs a three-layer convolutional layer and two layers of fully connected layers. The last layer is used as the input of the SVM classifier, and the target classification result is obtained by the SVM classifier. In addition, this article adds SPP-Layer between the convolutional layer and the fully connected layer, enabling the same dimension of the Feature Map to be obtained before the fully connected layer for different sized input images. The research results show that the proposed method has certain recognition effect and can be applied to athlete training.
Central urban open space system and green economy planning based on spatial clustering algorithms and AHP model
Authors: Mei Lu , Qi Li
Published: July 2020

Urban open space is of great significance to the compact urban center. It is not only a place for people’s public life, but also an ecological regulator in the compact and high-density urban environment. It has important ecological, cultural, economic and other functions for the development of the compact urban center. In this paper, the authors analyze the central urban open space system and green economy planning based on spatial clustering algorithms and ahp model. The results shows that the difference on green open space is much more easily becoming bigger in fast urbanization. This is also the key to improve the quality of regional urban open space at present. By analyzing the spatial pattern of urban open space system at different times by ArcGIS. We found that, in the late period of rapid urbanization, spatial differentiation is more obvious. Under the guidance of landscape, the research on the integration strategy of the open space in the compact urban center will help to establish the integration system of the open space in the compact urban center and enrich the dimension of urban landscape design. At the same time, this research realizes the intensive utilization of the space in the urban center.
Research on fuzzy English automatic recognition and human-computer interaction based on machine learning
Authors: Jing Yuqin
Published: July 2020

Fuzzy English recognition is affected by many factors, which leads to certain accuracy problems in intelligent recognition results. In order to improve the automatic recognition efficiency of fuzzy English, based on machine learning technology, this study constructs a neural network model. At the same time, this paper analyzes the research status and existing problems of handwritten character recognition, analyzes the model, and adopts multiple modules for automatic English recognition. In addition, the system is built on the basis of algorithms and model support, which makes fuzzy English recognition intelligent. Finally, in order to study the algorithm and model performance, the fuzzy English recognition is carried out through experiments. The research shows that the model constructed in this paper has certain recognition effect, which can be applied to practice, and can provide theoretical reference for subsequent related research.
Transaction processing and value evaluation of carbon emission rights based on wavelet transform image and deep learning
Authors: Long Yin , Han Chaoliang
Published: July 2020

The research results of this paper provide new ideas and perspectives for the construction of trading market of China’s carbon emission rights, so as to better alleviate the difficulties in China’s energy conservation and emission reduction. Data evaluation and image analysis based on wavelet transform image processing technology and deep learning were used in the study. Moreover, wavelet transform was used to extract the edge, and compared with the results of several other methods for extracting edges, so as to further study and analyze the trend of carbon emissions trading. The fluctuations in the price of carbon emissions trading, the shift of state, and the period of ups and downs are affected by many random factors. Through research algorithms, we can estimate the situation, seize opportunities, and forecast the prospects. In addition, based on the research, this paper obtains the relevant strategies for carbon emissions trading and value assessment in China.
Knowledge-based preference learning model for recommender system using adaptive neuro-fuzzy inference system
Authors: Patro Sunkuru Gopal Krishna , Mishra Brojo Kishore , Panda Sanjaya Kumar , Kumar Raghvendra , Long Hoang Viet , Tuan Tran Manh
Published: July 2020

A recommender system (RS) delivers personalized suggestions on products based on the interest of a particular user. Content-based filtering (CBF) and collaborative filtering (CF) schemes have been previously used for this task. However, the main challenge in RS is cold start problem (CSP). This originates once a new user joins the system which makes the recommendation task tedious due to the shortage of information (clickstream, dwell time, rating, etc.) regarding the user’s interest. Therefore, CBF and CF are combined together by developing a knowledge-based preference learning (KBPL) system. This system considers the demographic data that includes gender, occupation, and age for the recommendation task. Initially, the dataset is clustered using the self-organizing map (SOM) technique, then the high dimensional data is decomposed by higher-order singular value decomposition (HOSVD) and finally, Adaptive neuro-fuzzy inference system (ANFIS) predicts the output. For the big dataset, SOM is a robust clustering method and the similarities among the users can be easily observed by grid clustering. The HOSVD extracts the required information from the available data set to find the user similarity by decomposing the dataset in lower dimensions. ANFIS uses IF-THEN rules to recommend similar product to the new users. The proposed KBPL system is evaluated with the Black Friday dataset and the obtained error value is compared with the existing CF and CBF techniques. The proposed KBPL system has obtained root mean squared error (RMSE) of 0.71%, mean absolute error (MAE) of 0.54%, and mean absolute percentage error (MAPE) of 37%. Overall, the outcome of the comparative analysis shows minimum error and better performance in terms of precision, recall, and f-measure for the proposed KBPL system compared to the existing techniques and therefore more suitable for accurately recommending the products for the new users.
Familial Oculo-Leptomeningeal Transthyretin Amyloidosis Caused by Leu55Arg Mutation
Authors: Kleefeld Felix , Knebel Fabian , Eurich Dennis , Schatka Imke , Blüthner Elisabeth , Schönfeld Shideh , Amthauer Holger , Hahn Katrin
Published: July 2020

Hereditary transthyretin amyloidosis (hATTR amyloidosis) is a multisystemic disease usually presenting in a mixed neurological and cardiological phenotype. We present a case of hATTR amyloidosis associated with Leu55Arg mutation causing a form of familial oculo-leptomeningeal amyloidosis. Two brothers and their mother presented with severe autonomic neuropathy, loss of visual acuity and lepto-meningeal involvement. One patient suffered subarachnoid hemorrhage as a possible complication of cerebral involvement. The patients suffered from treatment-refractory weight loss and recurring vitreous opacities. RNA interference-based treatment has led to stabilization of autonomic and peripheral neuropathy but has had no effect on ocular symptoms.
Meta-analysis comparing temperature on arrival at the referral hospital of newborns with hypoxic ischemic encephalopathy cooled with a servo-controlled device versus no device during transport
Authors: Hagan J.L.
Published: July 2020

BACKGROUND:

Therapeutic hypothermia reduces mortality and neurological injury for neonates with hypoxic ischemic encephalopathy (HIE). The aim of this meta-analysis is to evaluate use of servo-controlled devices during transport to the referral hospital.

METHODS:

PubMed and Medline (Ovid) searches were used to identify studies comparing HIE patients’ temperatures on arrival at the referral hospital for those cooled with servo-controlled devices versus no device during transport. Random effects models were used to conduct a meta-analysis comparing the two groups’ proportion of patients arriving in the target temperature range as well as the mean and variability in body temperature on arrival. Studies’ level of evidence and risk of bias were also assessed.

RESULTS:

Eight published studies with total of 573 patients met the inclusion criteria, with a “B” grade of recommendation overall. A significantly higher proportion of infants cooled with a servo-controlled device arrived in the target temperature range (pooled relative risk = 2.47, 95% confidence interval: 1.46–4.17, p < 0.001). The arrival temperature in the device cooled group was on average 0.82°C lower (95% CI: 0.29–1.35°C, p = 0.002) with an 82% lower temperature variance.

CONCLUSIONS:

Although the predominance of observational studies and presence of some risks of bias somewhat limits the strength of recommendation, the existing research consistently indicates that using a servo-controlled device during transport of neonates with HIE increases the probability of arriving at the referral hospital in the target temperature range, with a lower body temperature and less variability. Future research is needed to investigate differences in mortality and neurological impairment.
Vestibular and oculomotor abnormalities among HIV-infected and HIV-uninfected men and women: A pilot study
Authors: Pichert Matthew D. , Plankey Michael W. , Springer Gayle , Cox Christopher , Hoffman Howard J. , Cohen Helen S.
Published: July 2020

OBJECTIVE: To determine if middle-aged and aging men and women with HIV disease (HIV+) should be screened for vestibular and oculomotor dysfunction. METHODS: Age- and sociodemographically matched HIV+ and HIV– men and women were tested on vestibular evoked myogenic potential (VEMP), bi-thermic caloric testing, Dix-Hallpike maneuvers and saccades. RESULTS: HIV+ men had more caloric weakness than HIV– men. HIV+ subjects had more saccade abnormalities than HIV– subjects. A saccade abnormality was positively associated with being HIV+. Among the HIV+ sample, abnormalities were associated with increasing age, being male, ever taking monotherapy, and having an undetectable viral load. Only being male and having an undetectable viral load were statistically significant. Unilateral caloric weakness had a decreased prevalence with age per 10 years, and being HIV+ showed an increased prevalence. In HIV+ subjects only, these abnormalities decreased with age and being male but increased with undetectable viral load and ever taking antiretroviral monotherapy. No statistically significant differences were found. CONCLUSION: Women are at greater risk of vestibular and oculomotor abnormalities than men. HIV+ adults are at greater risk than HIV– adults. Physicians who care for HIV+ men and women should monitor the symptoms of vestibular and oculomotor impairment.
Questionable necessity of nitroglycerin for diagnostic coronary artery examination using 320-row multi-detector computed tomography
Authors: Lu Nan-Han , Liu Yi-Shan , Liu Ko-In , Hsu Shih-Yen , Huang Yung-Hui , Sun Cheuk-Kwan , Chen Tai-Been
Published: July 2020

OBJECTIVE:

This study aims to analyze and compare the diagnostic effectiveness of 320-row multi-detector computed tomography for coronary artery angiography (MDCTA) in subjects with and without sublingual vasodilator (nitroglycerin).

MATERIALS AND METHODS:

From September 2015 to September 2016, 70 individuals without history of major cardiovascular diseases who underwent MDCTA for health examination were retrospectively categorized into sublingual nitroglycerin (NTG) and non-NTG groups. Medical history, CT dose index (CTDI), and multi-slice CT images were compared between two groups. A diameter of coronary artery (DA, mm) was computed and analyzed.

RESULTS:

A total of 41 males and 29 females (mean age: 55.43±8.84 years, range: 34– 76) were reviewed. Normal and abnormal MDCTA findings were noted in 54 and 16 participants, respectively, with the detection rate of coronary artery disease being 23%. There was no significant difference in inter-observer variability of coronary CTA image quality and diagnosis between the NTG and non-NTG groups among three experienced radiologists. Although the percentage dilatation of left anterior descending branch (LAD), right coronary artery (RCA) and left circumflex branch (LCX) following in the NTG group were 12.4%, 12.8% and 25.3%, respectively ( p < 0.01), there was no significant difference in image quality and diagnosis between the two groups.

CONCLUSIONS:

Despite the recommendation of routine nitroglycerin use for subjects undergoing computed tomography for coronary artery angiography, our results showed no significant advantage of its use in improving image quality and rate of diagnosis accuracy.
EVALUASI PENERAPAN SISTEM INFORMASI AKUNTANSI PENERIMAAN DAN PENGELUARAN KAS PADA PT. DAYA ANUGRAH MANDIRI
Authors: Pusung Brando Nofdi , Saerang David P.E , Wangkar Anneke
Published: July 2020

Every organization needs an information system to facilitate the activities that have been carried out planned and supervised to control the company's financial cash flow. The purpose of this study is to evaluate the accounting information system for cash receipts and disbursements and observe whether there is synchronization between the system and the existing application. The method used is a descriptive qualitative research method that research begins by collecting and observing all parts in information comes in its entirety and the details are then collaborated to get a result. The results showed that the accounting information system for cash receipts and disbursements at PT. Daya Anugrah Mandiri is quite good, although there are a few mistakes when inputting cash and consumers names, but they can fulfill important elements of the accounting information system that are human resources, equipment, forms or documents, records/notes, procedures, and reports. Cash receipts and disbursements procedures are set up and done best to avoid mistakes that might occur, so until now the accounting information system for cash receipts and disbursements of PT. Daya Anugrah Mandiri can be done effectively.
Influence of unstable weather conditions on the passage time of phenological phases of black currant in the Middle Urals
Authors: Chebotok Elena
Published: July 2020

Abstract. Purpose. The research is aimed at studying the influence of weather conditions on the timing of the phenological phases of black currant in the Middle Urals. Methods. The study is based on methods of phenological observations in accordance with generally accepted methods. Results and practical significance. It was found that black currant adapts well to unstable weather conditions in recent years in the Middle Urals, during the research period, budding was observed in the period from April 12 to May 4; the dates of the beginning of flowering were marked from May 10 to May 28; maturation dates are marked from July 16 to August 10. The shift in the dates of onset of the main phases of vegetation from the average long-term can reach 14 days. Industrial plantings should consist of varieties of different flowering and maturation periods, to avoid the spring frosts of the main part of the plantation, as well as to form a conveyor for the arrival of fresh berries. The experiment identified five early-flowering cultivars in the Middle Urals: Zabava, Fortuna, 1-3-010-13, 3-2-010-13, 6-44-00-03; four late-flowering: Gerkules, Slavyanka, 5-1-010-13, 8-2-010-13; the remaining 28 cultivars are of the average flowering period. Five varieties of early maturation are identified: Zabava, 2-1-010-13, 2-4-010-13, 3-1-010-13, 5-1-010-15; four late maturation: Zaglyaden’e, Kipiana, Chudnoe mgnovenie, Slavyanka; the remaining 28 varieties are of average maturation. Not all early-flowering cultivars are early-maturing, and not all late-flowering cultivars are late-maturing. The scientific novelty consists in the study of phenological rhythms of black currant varieties of various genetic origin in unstable weather conditions of recent years in the Middle Urals.
The problem of Fusarium head blight in the Trans-Urals region: the history and current situation
Authors: Gavrilova Ol'ga , Orina Aleksandra , Gogina Nadezhda , Gagkaeva Tat'yana
Published: July 2020

Abstract. The aim of study was to detect the fungal and mycotoxins contamination of grain samples of oat, wheat and barley grown in four regions of Ural region (Kurgan, Sverdlovsk, Tyumen, Chelyabinsk) in 2017–2018. Methods. The infection of grain with fungi was analyzed using traditional mycological methods; the content of fungal DNA was determined by quantitative PCR; the presence and amounts of toxic secondary metabolites of fungi in the grain was detected by high performance liquid chromatography with mass spectrometry. Results. In the analyzed grain samples at least 10 species of Fusarium fungi were identified, among which F. sporotrichioides, F. avenaceum sensu lato and F. poae were found to be prevailing. The areas of Fusarium species that are atypical for the territory of Ural region were specified. F. graminearum was found in 14 % of the analyzed grain samples, and F. langsethiae was detected in three grain samples from the Sverdlovsk region. The DNA of F. poae was found in 48 % of grain samples, F. avenaceum DNA – in 39 %, F. sporotrichioides DNA – in 30 %, and F. graminearum DNA – in 29 % of analyzed grain samples. The content of mycotoxins in the grain samples ranged significantly depending on the crop and the geographical origin of the samples. One to seven mycotoxins were present in each contaminated grain sample. T-2 and HT-2 toxins were most common and were detected in 59 % of samples. Following to them beauvericin and deoxynivalenol were found in 34 % and 25 % of the grain samples, respectively. The excess of the maximum permissible level of T-2 toxin in 26 times was detected in grain of barley from the Chelyabinsk region Scientific novelty. For the first time, the information about the occurrence and the amounts of moniliformin and beauvericin, which are rarely analyzed in the grain, is provided. The significant connection between the content of DNA of dominant Fusarium species and the amount of the main mycotoxins produced by them in the grain were revealed.
Monitoreo de la Savia del Peciolo de Vegetales
Authors: Hochmuth George , Kinslow Maria Paz
Published: July 2020

A medida que los productores y consultores comienzan a usar la tecnología de monitoreo de savia, surgen preguntas sobre los procedimientos del monitoreo de savia. Las siguientes guías deberían ayudar a las personas que actualmente usan o están interesadas en usar el monitoreo de savia. La mayoría de estas guías se han desarrollado a través de investigaciones en Florida, o se basan en la experiencia de campo.

This is the Spanish translation of CIR1144/CV004, Plant Petiole Sap-Testing For Vegetable Crops. Written by George Hochmuth, translated by Maria Paz Kinslow, and published by the UF/IFAS Horticultural Sciences Department.
BioBlitzes: Citizen Science for Biodiversity coming to Florida
Authors: Basille Mathieu , Stofer Kathryn
Published: July 2020

A BioBlitz is an intensive citizen-science biodiversity survey. During a short period of time, experts and volunteers conduct an intensive survey to record all species living in a designated area. BioBlitzes have been conducted all around the world, and are now commonly used to engage citizen in biodiversity inventory, tracking rare and invasive species, and increase citizen awareness towards natural resources.
Wildlife of Florida Factsheet: Nine-banded Armadillo
Authors: Fitzwilliam Simon , Boughton Raoul K.
Published: July 2020

Learn more about nine-banded armadillos!

The Wildlife of Florida Factsheet series was created to provide the public with a quick, accurate introduction to Florida’s wildlife, including both native and invasive species. Authors Simon Fitzwilliam and Raoul Boughton hope this 2-page quick guide and others in the series published by the UF/IFAS Department of Wildlife Ecology and Conservation will inspire readers to investigate wildlife in their own backyards and communities and understand the amazing biodiversity of wildlife in the state of Florida. http://edis.ifas.ufl.edu/uw456
Identifying and Meeting the Needs of Extension’s Target Audiences
Authors: Warner Laura A. , Israel Glenn D. , Diaz John M.
Published: July 2020

This document provides an overview of the concept of target audiences as it relate to Extension education, and briefly presents concepts of audience analysis and educational content selection. In contrast to the general population, a target audience is comprised of people who can take some explicit action to help solve an identified problem addressed by an Extension program. Additionally, a target audience is sometimes the people who are affected most by that problem. An understanding of the concept of target audiences paired with intentional selection of appropriate educational activities and content can support an impactful Extension program.
Analysis of the Influence of Intellectual Capital, Working Capital, and Leverage in Affecting Profitability and Its Relationship on the Value of the Company
Authors: Widhiastuti Susanti , Ekasaputra Bobby , Jayadi Jayadi
Published: July 2020

This study aims to analyze the effect of intellectual capital (VAHU), working capital (working capital turnover / WCT), and leverage (DER) in influencing profitability (ROE) in relation to company value (PBV). The population in this study are companies in the mining, plantation, and consumer goods manufacturing industries listed on the Indonesia Stock Exchange from 2014 to 2018 with a total of 40 companies. The sample selection is done using the purposive sampling method and the samples used in this study were 14 companies. This type of research used in this study is a causal type of explanatory research that seeks to test the influence of variables in a structural model. The results showed that: 1). Intellectual capital affects the profitability and value of the company, 2). Working capital turnover does not affect the profitability and value of the company, 3). Time affects the profitability and value of the company, 4). Profitability affects the value of the company.
Kontroversi Pengesahan Revisi UU KPK 2019 Terhadap Reaksi Pasar Modal Indonesia
Authors: Pratiwi Novita Rahayu
Published: July 2020

Penelitian ini berdasarkan atas kontroversi pengesahan revisi UU KPK 2019 yang bertujuan untuk menghitung ada atau tidaknya perbedaan abnormal return dan Trading Volume Activity (TVA) sebelum dan sesudah peristiwa. Penelitian ini menggunakan SPSS pada indeks saham LQ45 melalui uji beda paired sample t-test. Menggunakan metode event study, data yang dipakai adalah data sekunder berupa historis saham di Bursa Efek Indonesia (BEI), pada 45 sampel perusahaan yang tergabung dalam indeks LQ45. Periode penelitian meliputi empat belas hari, H-7 dan H+7 peristiwa. Hasil statistik uji normalitas, seluruh variabel berdistribusi normal, lalu dilanjutkan dengan uji statistik sample t test, menunjukkan kontroversi pengesahan UU KPK 2019 yang dilaksanakan tepat pada 17 September memberi dampak signifikan terhadap saham yang tergabung dalam indeks LQ45.
Parece Bom Para Mim! Emancipação no Cotidiano Escolar
Authors: Demenech Flaviana
Published: July 2020

Este artigo tem como objetivo descrever, narrar, captar, entender o movimento que acontece verdadeiramente num espaço e num tempo da escola, compreender e investigar as tensões produzidas na escola pública à medida que a heterogeneidade, os indivíduos participantes, confronta-se com a homogeneidade impregnada em seu projeto cultural, historicamente construído, com a finalidade de emancipar-se, a partir da análise de imagem. Para tanto, optou-se pela análise qualitativa de imagens,em especial em relação ao “Método Documentário” desenvolvido por Bohnsack (2007), e inspirada nas contribuições de Liebel (2011). A análise foi sustentada pelo confronto entre análise da imagem e os conceitos selecionados a partir do referencialteórico de Alves (2012); Oliveira (2013); Ferraço (2011); Giroux (1988); Lahire (2005); Lopes e Macedo (2002; 2011) com os conceitos de cotidiano escolar, rede, habitus, disposições, emancipação. Concluiu-se, que as escolas fazem um grande esforçoem acolher e fazer com que o novo sujeito permaneça na escola; contudo, por vezes reiteram, por outras superam o ideal de padronização e imposição das regras da cultura escolar, os mecanismos de homogeneização e de eliminação dos movimentos.É preciso, portanto, trabalhar, pensar, fazer em prol da compreensão das redes de conhecimentos, desejos e possibilidades dialogando e buscando valorizar os saberes, fazeres e poderes hibridizados do cotidiano escolar e as múltiplas redes educativas que tecem e pertencem ao mesmo.