bluuebunny/crossref_metadata_2025 huggingface dataset:
Ecological Awareness in Vālmikī's Rāmāyana
Authors: Pokharel Mohan Kumar
Published: July 2020

The use of ecological awareness in the Vālmikī Rāmāyana is an exemplary case to deal with the postmodern environmental crisis. This research paper focuses on the connection between flora and fauna in this classical text. This study primarily interprets the discourses of the text which relates to the ecological awareness. At the same time, it also deals with the logic behind constructing the discourse of the poet through the activities of the characters and their thoughts related to ecology. To analyze the ecological awareness of the text, ecological study has been used as an overall theoretical approach. This study is significant in order to present how Vālmikī Rāmāyana manifests the ecological awareness to the postmodern people. The research approach adopted in this exploration is interpretive. The findings of this investigation provide the evidences that the epic has used ecological awareness in such a way that the epic impresses humans to make a balance between nature and creatures. The main conclusion drawn from this research is that Vālmikī is a far-sighted classical poet to make human beings aware of ecological crisis and its effects everywhere in the world.
The Wayward Daughter Author: Shraddha Ghale
Authors: Adhikari Uday
Published: July 2020

Shraddha Ghale, a new entry into Nepali English Literature has come up with a novel titled The Wayward Daughter.
SI-PAKARDI (Sistem Pakar Diagnosa Penyakit Gigi) Menggunakan Metode Forward Chaining
Authors: Widodo Andrian Eko , Suleman Suleman , Ardiansyah Angga , Pratmanto Dany , Aji Sopian , Savitri Dhea
Published: July 2020

AbstractThe lack of knowledge about dental health and the still limited awareness of the community about dental health, makes some of our community set aside in efforts to prevent or treat dental disease. So we need a system or application that can help people to find out about dental diseases, as well as solutions to overcome these problems. This expert system knowledge base is formed by the if-then rules. The inference method used is forward chaining. This dental disease expert system is based on Android so it can be used anytime and anywhere by the community. Based on the acquisition of expert knowledge obtained 12 rules, 12 diseases, 25 symptoms. Blackbox test results show the application features that are made to run with a fairly good level of success. Unit test results indicate that the application has succeeded in making inferences properly and correctly, in accordance with applicable rules.Keywords: Dental disease, forward chaining, android, expert systemAbstrakMinimnya pengetahuan kesehatan gigi dan masih terbatasnya  kesadaran masyarakat tentang kesehatan gigi, membuat sebagian masyarakat kita mengesampingkan dalam upaya mencegah atau mengobati penyakit gigi. Maka diperlukan suatu sistem atau aplikasi yang dapat membantu masyarakat untuk mengetahui tentang penyakit gigi, serta solusi untuk mengatasi permasalahan tersebut. Basis pengetahuan sistem pakar ini dibentuk dengan aturan if-then. Metode inferensi yang digunakan adalah forward chaining. Sistem pakar penyakit gigi ini dibuat berbasis android agar bisa digunakan kapan saja dan dimana saja oleh masyarakat. Berdasarkan akusisi pengetahuan pakar didapat 12 aturan, 12 penyakit, 25 gejala. Hasil uji blackbox menunjukan fitur-fitur aplikasi yang dibuat berjalan dengan tingkat berhasilan yang cukup baik. Hasil pengujian unit menunjukkan bahwa aplikasi telah berhasil melakukan inferensi dengan baik dan benar, sesuai kaidah yang berlaku. Kata kunci : Penyakit gigi, forward chaining, android, sistem pakar
Review of the Scientific Literature on Young Adults Related to Cardiovascular
Disease Intervention
Authors: Tran Dieu-My T. , Sojobi Angela
Published: July 2020

Many young adults are at risk for cardiovascular disease related to their behavioral choices. Irresponsible alcohol consumption, tobacco smoking, sedentary lifestyle, poor dietary habits, and excessive weight gain are some of the behaviors that put young adults at risk. The Centers for Disease Control and Prevention identified that 15% of
young adults are diagnosed with chronic illnesses related to their behavioral choices. The purpose of this review is to identify, in the literature, interventions that are currently available to young adults and evaluate the adequacy and effectiveness of those interventions. An extensive electronic search was conducted using CINAHL, EBSCOhost,
Cochrane, PubMed, and Google Scholar. A total of 130 articles were identified and 28 articles met the inclusion criteria. Three main interventions were identified for young adults: personalized interventions, technology-based interventions, and educational/behavioral interventions. The interventions were all effective to different degrees and interventions were most effective when they were combined. This review impacts in what manner nurses and health care providers deliver health promotion, prevention, and management of cardiovascular risk factors in young adults;
in particular, nurses play a key role in lifestyle modifications including diet and exercise.
Effects of rail flash-butt welding and post-weld heat treatment processes meeting different national standards on residual stresses of welded joints
Authors: Ma Rui , Huang Dan , Zhang Jiao , Zhang Yang , Lv Qibing
Published: July 2020

This study investigates residual stresses of the welded joint heat-affected zone for the processes that meet the Chinese and European standards of field rail welding. Furthermore, this study investigates the factory rail welding process and different normalizing methods in China. According to the residual stresses data and the Debye ring test result, the residual stresses distribution of the welded joint meets the Chinese standard and uses induction normalizing treatment resulting in the best service performance and an improvement in grain size uniformity. In the absence of a normalizing process, the ideal welding process that meets the Chinese standard is actually inferior to that which meets the European standard, with regard to a uniform distribution of the residual stresses of the welded joint.
World literature as a hermeneutic utopia and a scholarly reality
Authors: Zherebin A. I.
Published: July 2020

In its interpretation of the opposition ‘national literature – world literature’ as defined by Goethe in 1827 the article relies on the dialectic of the hermeneutic circle, related to Goethe’s idea in the general context of the Classical-Romantic utopia of aesthetic humanism. Analyzing Goethe’s statements about world literature, one finds that his tentative concept did not suggest universal surrender of national-specific differences, but rather integration of national literatures (with all of their unique features) as relatively autonomous but mutually conditioned elements of a single literary communication supersystem. According to Goethe, each national literature established itself by involvement in the developing existence of a whole, without losing its identity to an amorphous composite of literatures. By fully preserving its individuality, it in fact joined in a special polyphonic order: a unity of diversity and interpenetration. Goethe, therefore, laid the foundations of a new philological discourse, which gave rise to comparative literary studies as a new scholarly discipline.
ПРОЕКТИРОВАНИЕ И ЭКСПЕРИМЕНТАЛЬНЫЕ ИССЛЕДОВАНИЯ СТАЛЕФИБРОБЕТОННОЙ ПЛИТЫ ПЕРЕКРЫТИЯ
Authors: Сурьянинов Н. Г.  , Корнеева И. Б.
Published: July 2020

In the work, the design of the floor slab with five voids of steel fiber concrete, similar to a serial reinforced concrete slab, is proposed. Both plates are calculated in accordance with the regulations on the first and second limiting states. For experimental studies, a series of plates was made, each of which was tested before destruction. Scaling was used for all the plates, taking into account the design standards and technological capabilities of the laboratory.The loading of structures during testing was carried out in steps. Each step was 10% of the control load when checking the bearing capacity and crack resistance and 20% of the control load when checking the rigidity of structures. As a result of tests, the values of stresses and deflections were obtained as in theoretical calculations, the stresses in the concrete and steel fiber concrete slabs differ only slightly, and the deflections, especially up to 60% of the breaking load, differ several times, which confirms the much slower crack opening in the steel fiber concrete slabs. This suggests that at loads corresponding to the operational level, cracks will not open. The use of steel fiber concrete with preservation of linear reinforcement for the manufacture of hollow-core slabs allows to improve their characteristics, first of all - bearing capacity and crack resistance.
Trabajar con datos abiertos en tiempos de pandemia: uso de covidDATA-19
Authors: Ferrer-Sapena Antonia , Calabuig José-Manuel , Peset Fernanda , Sánchez-del-Toro Isabel
Published: July 2020

One of the problems when working with data is the lack of uniformity in the criteria for their collection, which makes their reuse difficult if not impossible. Data collection and standardization protocols must be clear. This problem has been seen in the global pandemic caused by Covid-19, in which uniform data have been urgently needed to make rapid decisions and keep the population informed. The difficulties of creating a portal that analyzes the evolution of the data on the pandemic in Spain are discussed. CovidDATA-19 is an open data website that features interactive visualizations and allows filtered data to be downloaded according to the user’s choices. Its development as highlighted the scarcity of easily reusable official sources and the fragility of trust in such data during this crisis.

Resumen
Uno de los problemas al trabajar con datos es la falta de uniformidad en los criterios de su recogida, lo que hace que la reutilización sea difícil, cuando no imposible. Deben tenerse claros los protocolos de recolección y estandarización de los datos. Este hecho se ha podido constatar en la situación de pandemia global provocada por la Covid-19, en la que se han necesitado con urgencia datos uniformes para tomar decisiones rápidas y mantener informada a la población. En este trabajo se observan las dificultades para crear un portal que analiza la evolución de los datos de la pandemia en España. CovidDATA-19 es una web de datos abiertos que presenta visualizaciones interactivas y permite descargar los datos filtrados según las elecciones del usuario. En su creación se ha puesto de manifiesto la escasez de fuentes oficiales fácilmente reutilizables y la fragilidad de la confianza en los datos en estos momentos de crisis.
WOMEN’S REPRESENTATION IN HEALTHCARE MANAGEMENT IN BULGARIA
Authors: Pavlova G.I.
Published: July 2020

The purpose of this article is to study the share of women involved in healthcare management at various levels. Results: The women engaged in top management are 28%. The share of women at the middle level of management is nearly twice larger (53.4%). In operational management such as the management of healthcare establishments, women’s participation is 36%. Conclusion: Women’s representation in the management of the healthcare system in Bulgaria (35.9%) falls behind European countries’ indicators (41%). Bulgaria is applying a gender equality policy but a lot remains to be done.
ТHE IMPACT OF ECONOMIC FACTORS ON THE FAMILY CRISIS
Authors: Nazirov Halilillokhon Hamidillokhonovich , Ismayilov Akmal Ziyadillayevich , Rasulov Akbar Nomozovich
Published: July 2020

In this article, we will focus on the problems that arise when it comes to family property. As a result of radical changes in social life, the rapid development of the economy and culture, the implementation of entrepreneurial activities based on various forms of ownership have laid the foundation for the change and development of family socio-economic conditions.
THE IMAGE OF A MERMAID IN THE DANISH ROMANTIC PROSE OF THE FIRST HALF OF THE XIX CENTURY
Authors: Shkurskaya E.A.
Published: July 2020

The purpose of this work is to study the image of the mermaid in Danish romantic prose of the first half of the XIX century. In accordance with this goal, the following tasks are formulated: to study the elements of romantic poetics that make up the structure of the image of the mermaid; consider the features of the functioning of the image of the mermaid in the Danish literature of the romantic era. To achieve this goal, we used descriptive, comparative, and contextual analysis methods. The image of the little Mermaid in the Danish romantic tradition combines the functioning of mythological, romantic and individual author's motives, the value space of the fairy tale by G. H. Andersen is built in accordance with Christian axiology.
PRACTICAL WORK ON VOICE TRAINING, PART II. INITIAL CLASSES
Authors: Pokrovskiy A.V.
Published: July 2020

The article examines the General provisions of vocal pedagogy: the relevance of the issue, principles, goals, objectives and methods of teaching singing; the criteria, methods of selection and basic skills necessary for those wishing to learn vocal art.
THE IDEA OF CULTURAL RENAISSANCE IN ABAI QUNANBAIULY’S LEGACY
Authors: Baisarina Zhazira S.
Published: July 2020

The new millennium constitutes new dimensions of the need for new ways of understanding social exchanges, political power and economic profit and historical figures.
This study discusses the perception of spiritual and moral ideas of an outstanding Kazakh poet and thinker Abai Qunanbaiuly in the dialogue of world cultures. In order to achieve this target, we intend to discuss the aspects of promoting Kazakh cultural heritage within the works of Abai analyzing studies of Kazakh and Western scholars. As a result of the discourse, the awareness of Abai's modernized thoughts was accepted as cultural contribution to the world perception.
El entramado interorganizacional para la protección civil en Bariloche, Argentina: resiliencia y gestión de riesgo ante fenómenos volcánicos
Authors: Civitaresi Héctor Martín , Dondo Bühler Mariana
Published: July 2020

En este artículo nos preguntamos cómo gestionar mejor las ciudades para garantizar su resiliencia frente a eventos adversos. En particular, analizamos el entramado de relaciones entre organizaciones involucradas en la gestión de crisis derivadas de fenómenos volcánicos (reducción del riesgo, manejo y recuperación). Estudiamos el caso de Bariloche, Argentina, una ciudad con alta vulnerabilidad frente a eventos diversos (naturales, económicos, sanitarios, etcétera) y realizamos un análisis de redes sociales. Encontramos que, en la emergencia volcánica de 2011, generada por la erupción del complejo volcánico Puyehue-Cordón Caulle, las políticas de concientización, prevención y preparación fueron ineficaces, hubo problemas de coordinación y comunicación entre los organismos oficiales, y las estrategias de superación respondieron más a la capacidad individual de adaptación, que a la planificación preexistente. Más recientemente, el gobierno local trabajó en la coordinación de actores sociales e institucionales para afrontar los efectos adversos de los fenómenos naturales y aumentar la resiliencia urbana, bajo una lógica de gobernanza policéntrica y acción interconectada entre organizaciones públicas, privadas y de la sociedad civil.
PELATIHAN E-LEARNING MENGGUNAKAN PLATFORM GOOGLE CLASSROOM DAN MOODLE DI MTS DAN MA SITI KHADIJAH MAJALENGKA
Authors: Nurhikmayati Iik , Santoso Erik , Sudianto  , Jatisunda Mohamad Gilar
Published: July 2020

E-Learning is a form of learning that utilizes internet facilities in the learning process. The learning process through e-learning can be done anytime and anywhere. This training activity is intended so that trainees get a good understanding of e-learning using the google classroom and moodle platforms. The method of implementing this activity is divided into three main stages, namely planning, implementation and evaluation. Participants in the training consisted of teachers from MTs and MA Siti Khadijah Majalengka. Based on the results of data processing, it can be concluded that e-learning can make learning anytime and anywhere. Based on the results of the processing it was found that 50% of the training participants stated that e-learning was very important and 50% stated it was important. Participants stated that through this training activity an increase in understanding about e-learning, ie 33.3% of participants were very understanding and the remaining 66.7% answered understanding
PENDAMPINGAN KONSELOR SEBAYA UNTUK MENANGGULANGI PENGARUH LINGKUNGAN NEGATIF DI SMAN 10 KOTA JAMBI
Authors: Sarman Freddi , Asradi
Published: July 2020

Bimbingan dn Konseling merupakan bagian integral pada proses pendidikan di sekolah. Peran dan fungsinya yaitu untuk mencengah terjadinya permasalahan yang mengganggu kefektifan sehari-hari siswa yag dalam face ini memasuki masa remaja. Masa remaja disebut juga dengan masa krisis identitas, dalam proses perkembangan ini sering muncul permasalahan. Permasalahan komplik yang dialami oleh remaja ini tidak hanya menjadi tanggung jawab orangtua, tetapi juga menjadi tanggung jawab sekolah sebagai pendidikan formal, suatu lembaga pendidikan formal terdapat suatu pelayanan siswa yang membantu permasalahan disebut dengan pelayanan Bimbingan dan Konseling (BK). Oleh karena itu melalui kegiatan pengabdian masyarakat ini dilakukan pendampingan kepada siswa SMAN 10 Kota Jambi. Metode kegiatan ini menggunakan model pelatihan dan bimbingan untuk memantau kelompok konselor sebaya yang dibentuk di sekolah. Hasil kegiatan ini menunjukkan bahwa pembentukan konselor sebaya ini diharapkan mampu menangai permasalahan siswa berkaitan dengan pelajaran maupun pergaulan siswa. Pembentukan konselor sebaya juga dapat meminimalisir perilaku negatif dikalangan siswa.
Analysing Academic Texts with Computational Linguistics Tools
Authors: Shpit E. I. , Kurovskii V. N.
Published: July 2020

Writing academic texts in English introduces certain difficulties associated with translating Russian sentences with pronounced stylistic peculiarities, especially for young researchers who are just starting their publication activity. It seems impossible to study any genre without analysing examples of the discourse, which highlights the use of computational linguistics as it allows automating a lot of language and text processing mechanisms and generates relatively accurate quantitative results. The present study considers the application of AntConc and Coh-Metrix toolkits for analyzing master students’ abstracts to research papers written for international English-language journals or conference proceedings (Learner Corpus) in comparison with international researchers’ abstracts published in high-impact journals (Reference Corpus). The analysis conducted in the above-mentioned software tools revealed the drawbacks and strengths of master students’ texts, allowed characterizing them on the words, sentence and discourse levels, as well as outlined the potentials of their use in teaching academic writing skills.
Changes in Hippocampal Androgen Receptor Density and Behavior in Sprague-Dawley Male Rats Exposed to a Low-Pressure Blast Wave
Authors: Hoffman Jay R. , Zuckerman Amitai , Ram Omri , Sadot Oren , Cohen Hagit
Published: July 2020

Objective: The purpose of this study was to examine the effect of exposure of a low-intensity blast wave on androgen receptor (AR) density in the hippocampus and the potential influence on behavioral and cognitive responses. Methods: Sprague-Dawley rats were randomly assigned to either a blast exposed group (n = 27) or an unexposed (control) group (n = 10). Animals were treated identically, except that rats within the control group were not exposed to any of the characteristics of the blast wave. Behavior measures were conducted on day seven post-exposure. The rats were initially assessed in the elevated plus maze followed by the acoustic startle response paradigm. Spatial memory performance using the Morris water-maze test was assessed at 8-days post-exposure, for seven consecutive days. Following all behavioral tests AR immunofluorescence staining was performed in different hippocampal subregions. Results: A significant elevation in anxiety index (p < 0.001) and impaired learning (p < 0.015) and spatial memory (p < 0.0015) were noted in exposed rats. In addition, a significant attenuation of the AR was noted in the CA1 (p = 0.006) and dentate gyrus (p = 0.031) subregions of the hippocampus in blast exposed animals. Correlational analyses revealed significant associations between AR and both anxiety index (r = –.36, p = 0.031) and memory (r = –0.38, p = 0.019). Conclusions: The results of this study demonstrate that exposure to a low-pressure blast wave resulted in a decrease in AR density, which was associated with significant behavioral and cognitive changes.
Amyloidogenic Nanoplaques in Cerebrospinal Fluid: Relationship to Amyloid Brain Uptake and Clinical Alzheimer’s Disease in a Memory Clinic Cohort
Authors: Aksnes Mari , Müller Ebba Glersen , Tiiman Ann , Edwin Trine Holt , Terenius Lars , Revheim Mona-Elisabeth , Vukojević Vladana , Bogdanović Nenad , Knapskog Anne-Brita
Published: July 2020

Background: Aggregation of amyloid-β (Aβ) is an early pathological event in Alzheimer’s disease (AD). Consequently, measures of pathogenic aggregated Aβ are attractive biomarkers for AD. Here, we use a recently developed Thioflavin-T-Fluorescence Correlation Spectroscopy (ThT-FCS) assay to quantify structured ThT-responsive protein aggregates, so-called nanoplaques, in the cerebrospinal fluid (CSF). Objective: The overall aim of this work was to assess whether ThT-FCS determined CSF nanoplaque levels could predict amyloid brain uptake as determined by 18F-Flutemetamol PET analysis. Further, we assess whether nanoplaque levels could predict clinical AD. Methods: Nanoplaque levels in the CSF from 54 memory clinic patients were compared between sub-groups classified by 18F-Flutemetamol PET as amyloid-positive or amyloid-negative, and by clinical assessment as AD or non-AD. Results: Nanoplaque levels did not differ between amyloid groups and could not predict brain amyloid uptake. However, nanoplaque levels were significantly increased in patients with clinical AD, and were significant predictors for AD when adjusting for age, sex, cognitive function, and apolipoprotein E (APOE) genotype. Conclusion: The concentration of nanoplaques in the CSF differentiates patients with clinical AD from non-AD patients.
Electroacupuncture Enhances Cognition by Promoting Brain Glucose Metabolism and Inhibiting Inflammation in the APP/PS1 Mouse Model of Alzheimer’s Disease: A Pilot Study
Authors: Xu Anping , Tang Yinshan , Zeng Qingtao , Wang Xin , Tian Huiling , Zhou You , Li Zhigang
Published: July 2020

Background: Alzheimer’s disease (AD) is a neurodegenerative disease, yet there is no effective treatment. Electroacupuncture (EA) is a complementary alternative medicine approach. In clinical and animal studies, EA promotes cognition in AD and vascular dementia. It has been previously reported that cognitive decline in AD might be closely related to reduced glucose intake in the brain. It is worth mentioning that the regions of glucose hypometabolism are usually found to be associated with neuroinflammation. Objective: This study is to explore whether the protective mechanism of EA on cognition is related to the regulation of glucose metabolism and neuroinflammation. Methods: APP/PS1 mice were randomly divided into AD group and the treatment (AD + EA) group. In the AD + EA group, EA was applied on Baihui (GV20) and Yintang (GV29) for 20 min and then pricked at Shuigou (GV26), once every alternate day for 4 weeks. Morris water maze (MWM) tests were performed to evaluate the effects of EA treatment on cognitive functions. 18F-FDG PET, immunofluorescence, and western blot were used to examine the mechanisms underlying EA effects. Results: From MWM tests, EA treatment significantly improved cognition of APP/PS1 mice. From the 18F-FDG PET, the levels of uptake rate of glucose in frontal lobe were higher than the AD group after EA. From immunofluorescence and western blot, amyloid-β (Aβ) and neuroinflammation were reduced after EA. Conclusion: These results suggest that EA may prevent cognitive decline in AD mouse models by enhancing glucose metabolism and inhibiting inflammation-mediated Aβ deposition in the frontal lobe.
The Rhythmicity of Clock Genes is Disrupted in the Choroid Plexus of the APP/PS1 Mouse Model of Alzheimer’s Disease
Authors: Furtado André , Astaburuaga Rosario , Costa Ana , Duarte Ana C. , Gonçalves Isabel , Cipolla-Neto José , Lemos Manuel C. , Carro Eva , Relógio Angela , Santos Cecília R.A. , Quintela Telma
Published: July 2020

Background: The choroid plexus (CP), which constitutes the blood-cerebrospinal fluid barrier, was recently identified as an important component of the circadian clock system. Objective: The fact that circadian rhythm disruption is closely associated to Alzheimer’s disease (AD) led us to investigate whether AD pathology can contribute to disturbances of the circadian clock in the CP. Methods: For this purpose, we evaluated the expression of core-clock genes at different time points, in 6- and 12-month-old female and male APP/PS1 mouse models of AD. In addition, we also assessed the effect of melatonin pre-treatment in vitro before amyloid-β stimulus in the daily pattern of brain and muscle Arnt-like protein 1 (Bmal1) expression. Results: Our results showed a dysregulation of circadian rhythmicity of Bmal1 expression in female and male APP/PS1 transgenic 12-month-old mice and of Period 2 (Per2) expression in male mice. In addition, a significant circadian pattern of Bmal1 was measured the intermittent melatonin pre-treatment group, showing that melatonin can reset the CP circadian clock. Conclusion: These results demonstrated a connection between AD and the disruption of circadian rhythm in the CP, representing an attractive target for disease prevention and/or treatment.
Frontal Pole Hypometabolism Linked to Reduced Prosocial Sexual Behaviors in Frontotemporal Dementia and Corticobasal Syndrome
Authors: Silverman Hannah E. , Gazes Yunglin , Barker Megan S. , Manoochehri Masood , Goldman Jill S. , Wassermann Eric M. , Tierney Michael C. , Cosentino Stephanie , Grafman Jordan , Huey Edward D.
Published: July 2020

Background: Changes in sexual behaviors in frontotemporal dementia (FTD) are common and multifaceted, but not well characterized. Objective: To characterize changes in sexual behaviors and intimacy in FTD compared to corticobasal syndrome (CBS) and normal controls (NC), and to evaluate the neuroanatomical associations of these changes. Methods: Spouses of 30 FTD patients, 20 CBS patients, and 35 NC completed the Sexual Symptoms in Neurological Illness and Injury Questionnaire (SNIQ), which captures changes in sexual interest, inappropriate sexual behaviors, and prosocial sexual behaviors. 25 patients with FTD and 14 patients with CBS also received 18-flouorodeoxyglucose positron-emission topography (18FDG-PET) scans to determine the metabolic changes associated with these symptoms. Results: FTD patients showed a greater increase in inappropriate sexual behaviors than CBS patients [p = 0.009] and NC [p < 0.001] and a greater decrease in prosocial sexual behaviors than CBS patients [p = 0.026] and NC [p < 0.001]. Groups did not differ in change in sexual interest. Among both patient groups, the most common change was decreased prosocial sexual behaviors p < 0.01. Hypometabolism in Brodmann’s Area 10 (BA10), within the right frontal pole, correlated with decreased prosocial sexual behaviors [p(FWE-corr) <0.05, k = 44]. No anatomical associations were found with other sexual changes. Conclusion: Decreased prosocial sexual behavior was associated with hypometabolism in BA 10, an area tied to social knowledge and theory of mind, supporting the idea that changes reflect social-cognitive deficits due to frontal dysfunction.
Analysis of enterprise site selection and R&D innovation policy based on BP neural network and GIS system
Authors: Yonghui Li , Lipeng Bai , Bo Cheng
Published: July 2020

The traditional spatial optimization location solution is difficult to solve the space optimization location problem under the condition of large data volume. However, GIS has the advantage of analyzing and processing spatial data, which can effectively compensate for this defect. In this paper, we analyze the enterprise site selection and R&D innovation policy based on BP neural network and GIS system. As a tool for the government to guide, encourage, support and adjust innovation activities and application of achievements, science and technology policy can provide new support for the development of innovation by improving the industrial chain and innovating the industrial structure. Moreover, the quantitative analysis of the entropy weight method and the qualitative analysis of the AHP method are combined to analyze a number of influencing factors. Based on this, the overlay of various factors is further analyzed, and the maximum eigenvalues of the target layer and the criterion layer and the weights of each index are calculated using MATLAB tools. Therefore, according to the different characteristics of different periods and different fields, the government should formulate science and technology innovation policies to improve the specificity and applicability of the policies.
Research on construction of anti-dumping early warning model based on BP neural network
Authors: Chen Jun , Xu Ying , Xu Shiyan , Zhao Chenyang , Chen Hui
Published: July 2020

China has now become the country with the most anti-dumping lawsuits in the world, and the trade protection of anti-dumping measures has become a huge obstacle to the sustainable development of China’s foreign trade. In view of the current situation of anti-dumping in the United States, this study combines BP neural network to construct an anti-dumping early warning model. In order to predict the longer-term future based on the existing database, the BP neural network should be used to predict the indicators in the existing index database, and then the predicted warning indicator system is used as the input layer to warn the future police. Moreover, this study conducts research on the performance of the algorithm based on the actual case analysis. The research shows that the algorithm has certain effects and can provide theoretical reference for subsequent related research.
Computer-aided teaching mode of oral English intelligent learning based on speech recognition and network assistance
Authors: Hai Yanfei
Published: July 2020

The purpose of this paper is to use English specific syllables and prosodic features in spoken speech data to carry out English spoken recognition, and to explore effective methods for the design and application of English speech detection and automatic recognition systems. The method proposed by this study is a combination of SVM_FF based classifier, SVM_IER based classifier and syllable classifier. Compared with the method based on the combination of other phonological characteristics such as phonological rate, intensity, formant and energy statistics and pronunciation rate, and the syllable-based classifier based on specific syllable training, a better recognition rate is obtained. In addition, this study conducts simulation experiments on the proposed English recognition and identification method based on specific syllables and prosodic features and analyzes the experimental results. The result found that the recognition performance of the English spoken recognition system constructed by this study is significantly better than the traditional model.
Bottleneck prediction of urban road network based on improved PSO algorithms and fuzzy control
Authors: Xing Xue
Published: July 2020

Traffic bottleneck refers to the road section or node that often causes the propagation or spread of traffic congestion in the road network, which is the source of the whole road network congestion. In this paper, the author analyzes the bottleneck prediction of urban road network based on improved PSO algorithms and fuzzy control. This paper analyzes the factors and characteristics of the main road of the system, proposes the traffic coordination control of the main road based on the delay model, and carries on the statistical simulation to the actual traffic data, develops the basic theory of the traffic coordination control which is more effective than the traditional timing control strategy. Compared with the traditional model, the algorithm considers the waiting time of the red light at the intersection. For the congested road section, it can better calculate the travel time of the vehicle, making the results more accurate and more applicable. The results of this study can provide a strong theoretical basis and prediction scheme for the traffic management and control of the road network in the target area.
Some topological indices in fuzzy graphs
Authors: Kalathian Shriram , Ramalingam Sujatha , Raman Sundareswaran , Srinivasan Narasimman
Published: July 2020

A fuzzy graph is one of the versatile application tools in the field of mathematics, which allows the user to easily describe the fuzzy relation between any objects. The nature of fuzziness is favorable for any environment, which supports to predict the problem and solving it. Fuzzy graphs are beneficial to give more precision and flexibility to the system as compared to the classical model (i.e.,) crisp theory. A topological index is a numerical quantity for the structural graph of the molecule and it can be represented through Graph theory. Moreover, its application not only in the field of chemistry can also be applied in areas including computer science, networking, etc. A lot of topological indices are available in chemical-graph theory and H. Wiener proposed the first index to estimate the boiling point of alkanes called ‘Wiener index’. Many topological indices exist only in the crisp but it’s new to the fuzzy graph environment. The main aim of this paper is to define the topological indices in fuzzy graphs. Here, indices defined in fuzzy graphs are Modified Wiener index, Hyper Wiener index, Schultz index, Gutman index, Zagreb indices, Harmonic index, and Randić index with illustrations. Bounds for some of the indices are proved. The algorithms for distance matrix and MWI are shown. Finally, the application of these indices is discussed.
Clustering applications of IFDBSCAN algorithm with comparative analysis
Authors: Unver Mustafa , Erginel Nihal
Published: July 2020

Density Based Spatial Clustering of Application with Noise (DBSCAN) is one of the mostly preferred algorithm among density based clustering approaches in unsupervised machine learning, which uses epsilon neighborhood construction strategy in order to discover arbitrary shaped clusters. DBSCAN separates dense regions from low density regions and simultaneously assigns points that lie alone as outliers to unearth the hidden cluster patterns in the datasets. DBSCAN identifies dense regions by means of core point definition, detection of which are strictly dependent on input parameter definitions: ε is distance of the neighborhood or radius of hypersphere and MinPts is minimum density constraint inside ε radius hypersphere. Contrarily to classical DBSCAN’s crisp core point definition, intuitionistic fuzzy core point definition is proposed in our preliminary work to make DBSCAN algorithm capable of detecting different patterns of density by two different combinations of input parameters, particularly is a necessity for the density varying large datasets in multidimensional feature space. In this study, preliminarily proposed DBSCAN extension is studied: IFDBSCAN. The proposed extension is tested by computational experiments on several machine learning repository real-time datasets. Results show that, IFDBSCAN is superior to classical DBSCAN with respect to external & internal performance indices such as purity index, adjusted rand index, Fowlkes-Mallows score, silhouette coefficient, Calinski-Harabasz index and with respect to clustering structure results without increasing computational time so much, along with the possibility of trying two different density patterns on the same run and trying intermediary density values for the users by manipulating α margin.
Feature selection via computational intelligence techniques
Authors: Algin Ramazan , Alkaya Ali Fuat , Agaoglu Mustafa
Published: July 2020

Feature selection (FS) has become an essential task in overcoming high dimensional and complex machine learning problems. FS is a process used for reducing the size of the dataset by separating or extracting unnecessary and unrelated properties from it. This process improves the performance of classification algorithms and reduces the evaluation time by enabling the use of small sized datasets with useful features during the classification process. FS aims to gain a minimal feature subset in a problem domain while retaining the accuracy of the original data. In this study, four computational intelligence techniques, namely, migrating birds optimization (MBO), simulated annealing (SA), differential evolution (DE) and particle swarm optimization (PSO) are implemented for the FS problem as search algorithms and compared on the 17 well-known datasets taken from UCI machine learning repository where the dimension of the tackled datasets vary from 4 to 500. This is the first time that MBO is applied for solving the FS problem. In order to judge the quality of the subsets generated by the search algorithms, two different subset evaluation methods are implemented in this study. These methods are probabilistic consistency-based FS (PCFS) and correlation-based FS (CFS). Performance comparison of the algorithms is done by using three well-known classifiers; k-nearest neighbor, naive bayes and decision tree (C4.5). As a benchmark, the accuracy values found by classifiers using the datasets with all features are used. Results of the experiments show that our MBO-based filter approach outperforms the other three approaches in terms of accuracy values. In the experiments, it is also observed that as a subset evaluator CFS outperforms PCFS and as a classifier C4.5 gets better results when compared to k-nearest neighbor and naive bayes.
The construction of multi-granularity concept lattices
Authors: Hu Qian , Qin Ke-Yun
Published: July 2020

The construction of concept lattices is an important research topic in formal concept analysis. Inspired by multi-granularity rough sets, multi-granularity formal concept analysis has become a new hot research issue. This paper mainly studies the construction methods of concept lattices in multi-granularity formal context. The relationships between concept forming operators under different granularity are discussed. The mutual transformation methods of formal concepts under different granularity are presented. In addition, the approaches of obtaining coarse-granularity concept lattice by fine-granularity concept lattice and fine-granularity concept lattice by coarse-granularity concept lattice are examined. The related algorithms for generating concept lattices are proposed. The practicability of the method is illustrated by an example.
Reinforced XGBoost machine learning model for sustainable intelligent agrarian applications
Authors: Elavarasan Dhivya , Vincent Durai Raj
Published: July 2020

The development in science and technical intelligence has incited to represent an extensive amount ofdata from various fields of agriculture. Therefore an objective rises up for the examination of the available data and integrating with processes like crop enhancement, yield prediction, examination of plant infections etc. Machine learning has up surged with tremendous processing techniques to perceive new contingencies in the multi-disciplinary agrarian advancements. In this pa- per a novel hybrid regression algorithm, reinforced extreme gradient boosting is proposed which displays essentially improved execution over traditional machine learning algorithms like artificial neural networks, deep Q-Network, gradient boosting, ran- dom forest and decision tree. Extreme gradient boosting constructs new models, which are essentially, decision trees learning from the mistakes of their predecessors by optimizing the gradient descent loss function. The proposed hybrid model performs reinforcement learning at every node during the node splitting process of the decision tree construction. This leads to effective utilizationofthesamplesbyselectingtheappropriatesplitattributeforenhancedperformance. Model’sperformanceisevaluated by means of Mean Square Error, Root Mean Square Error, Mean Absolute Error, and Coefficient of Determination. To assure a fair assessment of the results, the model assessment is performed on both training and test dataset. The regression diagnostic plots from residuals and the results obtained evidently delineates the fact that proposed hybrid approach performs better with reduced error measure and improved accuracy of 94.15% over the other machine learning algorithms. Also the performance of probability density function for the proposed model delineates that, it can preserve the actual distributional characteristics of the original crop yield data more approximately when compared to the other experimented machine learning models.
PEMBERDAYAAN SANTRI MELALUI PENDIDIKAN ENTREPRENEURSHIP
Authors: EQ Nurwadjah Ahmad , Suhartini Andewi , Sutarjo J
Published: July 2020

Tantangan ekonomi global terutama di Asia sudah cukup mengundang respons beberapa pelaku terutama di bidang pendidikan Islam di pondok pesantren. Pendidikan kewirausahaan menjadi sesuatu yang mendesak di samping pengetahuan Islam itu sendiri. Para siswa dipersiapkan tidak hanya untuk menjadi ilmuwan Islam tetapi juga menjadi wirausaha yang mampu bertahan dalam persaingan global di bidang ekonomi. Pesantren ini dapat melengkapi kurikulum dengan berbagai kegiatan wirausaha seperti perdagangan, bertani, menggiring ikan, menggembala sapi, menggembala kambing, dan industri rumahan. Ini adalah sistem pendidikan yang tidak biasa selama ini di sekolah berasrama pendidikan di Indonesia.
Factors that ensured the formation of potato yields when cultivated on ridges
Authors: Rabinovich Galina , Tihomirova Dar'ya , Lapushkina Valentina
Published: July 2020

Abstract. The purpose of a comprehensive study carried out at All-Russian Research Institute of Reclaimed Lands in 2016–2018 was to assess meteorological, agro- and biochemical factors that could affect the formation of potato yields. Research methodology and methods. The methodological basis of the study was the experience operating in the system of crop rotation, in which potatoes were cultivated on ridges under various patterns of fertilizer application. The object of research was table potatoes – the mid-early variety Gala. Sod-podzolic light loamy gleyous soil was characterized by pHKCl 4,2–5,3, high content of mobile phosphorus and potassium compounds, and also humus content 2.2–2.5 %. Organic potato fertilizer multi-purpose compost and mineral fertilizers (ammonium nitrate, double superphosphate and potassium chloride) were introduced under the potato either together or separately – with tape or scattered. As factors capable of influencing the formation of the crop yield during each of the growing seasons, we used the determination of nutrient content in the soil, moisture level, activity of enzymes of the oxidoreductase class – catalase and dehydrogenase. In parallel, meteorological observations were carried out. Results. The level of increase in potato yield in fertilized variants relative to the control variant (without fertilizers) for the three-year study period averaged 31 %. The highest yield was observed in the variants with the planned yield of 45 t/ha with the combined use of multi-purpose compost and mineral fertilizers regardless of the method of their application: scatter or ribbon in the ridge, respectively. The highest potato yields were obtained in 2017 favorable for agroclimatic conditions. Statistical processing revealed high levels of correlation of productivity with the content of mineral nitrogen in the soil, with its redox coefficient and moisture. Scientific novelty. Potato yield depends on meteorological, agro- and biochemical factors. To obtain high potato yields in the Non-Chernozem zone, the balanced introduction of nutrients taking into account their content in the soil, weather conditions, and the activity of redox processes is of decisive importance.
The Structure and Composition of Gainesville's Urban Forest in 2016
Authors: Andreu Michael G. , Hament Caroline A. , Fox David A. , Northrop Robert J.
Published: July 2020

Trees in cities were formerly thought of merely as a collection of individuals found along streets and incorporated into landscaping. However, urban trees are now viewed as being part of a unique forest type, and understanding the urban forest’s structure and composition is an important first step towards managing it. This 4-page fact sheet written by Michael G. Andreu, Caroline A. Hament, David A. Fox, and Robert J. Northrop and published by the UF/IFAS School of Forest Resources and Conservation aims to provide a broader understanding of the urban forest in the city of Gainesville, Florida. http://edis.ifas.ufl.edu/fr413
Giant Burrowing Mayfly (suggested common name) Hexagenia limbata (Serville 1829) (Insecta: Ephemeroptera: Ephemeroidea: Ephemeridae)
Authors: Orfinger Alexander Benjamin , Lucky Andrea
Published: July 2020

The giant burrowing mayfly, Hexagenia limbata (Serville, 1829) (Figure 1) is one of the most widespread mayflies in North America and is well known for its importance in ecosystem health and water quality monitoring. The mayflies (order Ephemeroptera) are an ancient lineage of aquatic insects originating more than 300 million years ago (Merritt and Cummins 2008). Within this order, the burrowing mayflies of the family Ephemeridae are well-known for their importance in fly fishing and their massive synchronized mating flights.https://edis.ifas.ufl.edu/in1244

Also published on the Featured Creatures website: http://entnemdept.ufl.edu/creatures/AQUATIC/mayfly.html
Affect and Personality in Fibromyalgia
Authors: Galvez Sánchez Carmen M. , Reyes del Paso Gustavo
Published: July 2020

Fibromyalgia syndrome (FMS) is a chronic disorder characterized by widespread and persistent musculoskeletal pain, which is usually associated with other symptoms such as fatigue, tiredness, insomnia, stiffness, cognitive deficits, and emotional comorbidities (i.e., depression and anxiety). FMS patients usually display a high rate of psychiatric disorders compared to the general population. FMS has been also associated with higher levels of negative affect and lower levels of positive affect. High levels of stress, pain catastrophizing, and angry rumination have been also reported in FMS patients. Additionally, there are a tendency to internalize and suppress anger in FMS patients. Regarding personality in FMS, some studies have observed some FMS features (e.g., high impulsivity, harm avoidance, self-transcendence and neuroticism, and low conscientiousness, cooperativeness and self-directedness), while other authors had not found any particular personality trait. Some personality disorders (i.e., obsessive-compulsive personality disorder, borderline personality, avoidant personality disorder, and histrionic personality disorder) seem to be more frequent in FMS patients than in general population. Moreover, previous research has reported a greater presence of the type D personality and high levels of alexithymia in a significant proportion of FMS patients. It is necessary to improve the understanding of the role of affect and personality in the clinical practice with chronic pain patients, in order to improve the success of a personalized oriented treatment and increase their health-related quality of life.