bluuebunny/crossref_metadata_2025 huggingface dataset:
Behavioral Synchrony: Implicit motor bonding between individuals
Authors: Watanabe Katsumi
Published: April 2021

We examined motion in persons who attempted to keep their fingers still while pointing to each other and found synchrony in their involuntary micro movements. Short-term follow-the-leader exercises increased the degree of involuntary synchrony; this bi-directional motor bonding was person-specific and related to communication skills of the pair. These findings suggest that the microscopic bodily movements reflect identity-specific history of interpersonal interactions and embodied aspects of social connections.
Changing Ecological and Hydrological Conditions in the Himalayan Mountains and Measures of Future Adaptation
Authors: Kattel Giri R
Published: April 2021

The Himalayan mountains are one of the important geographical settings of the planet Earth for the source of global freshwaters. The freshwaters from the Himalayas are life supporting systems of the millions of people residing in downstream Asia. However, the high-altitude mountains of the Himalayas have gone through considerable transformations in hydrology and ecology over the recent past. In the 21st century, the hydrological flow regimes of glacial-fed rivers are threatened by both climate change and human disturbances. Rapidly changing temperature and the frequency, duration and timing of monsoonal precipitation have altered glacier melt, river flow, flood, and downstream volume of water. As a result, the ecosystems and biodiversity as well as irrigation-dependent agriculture in the region is profoundly impacted. The fundamental challenge today is therefore to address the issue of water resources through understanding of hydrological and ecological changes of lake and river systems in the region. Ecohydrology is a sustainability concept, which addresses water resource management through understanding of water cycle, including hydrological processes of rivers and lakes and the structure, and function of ecosystems. Putting ecohydrology at the center of the water resource management program, this mini review discusses rapid ecological and hydrological changes of freshwater systems in the Himalayan mountains and suggested some of the key future adaptation strategies of water resources to rapidly changing regional environment.
The Kala Chitta foreland fold and thrust belt, Northern Pakistan
Authors: Qureshi M. Kaleem Akhtar , Butt Aftab Ahmad , Sheikh Riaz A.
Published: April 2021

The present structural framework of the Kala Chitta Range evolved through movement between two detachment surfaces. The Precambrian Attock Slates acted as a basal detachment surface above which large scale horizontal compression took place to produce the main structural framework of the Kala Chitta Range. The Middle Eocene argillaceous and gypsiferous Kuldana Formation behaved as the upper detachment surface giving rise to blind thrusts which were later exposed due to the intense erosion of the overlying folded Miocene strata.
Seismic model of central and eastern Lesser Himalaya of Nepal
Authors: Pandey M. R.
Published: April 2021

ABSTRACT

The apparent velocity distribution of the local seismic of lesser Himalaya of central and Eastern Nepal allows to derive a three layered local seismic velocity model with first layer velocity of 5.6 Km/Sec, second layer of 6.5 Km/sec. and Moho discontinuity with 8.1 Km/sec. The first arrivals of different local phases of seismic waves are consistent with 20-23 Km thickness of the first layer and with crustal thickness of 55Km. The seismic events are confined to the first layer.

Local velocity model derived after the seismic event of 6 Oct 1981, origin time 19 hr 18 mn 17 sec, by modelling the first arrivals and PMP (Moho reflection) arrivals within the interval of distance 138-218 Km confirms the velocity model derived from apparent velocity distribution.

However, apparent velocity distribution of local seismic events occurring south of the line joining approximately Pokhara to Udayapur in plan does not seem to fit the theoretical distribution corresponding to the above three layered model with events within first layer. The apparent velocity of these events may be explained either (a) by the confinement of the focus of the events to the second layer or, (b) by the variation of the seismic velocity model with Moho depth at 35- 40 Km. i.e. with a normal Indian peninsular crust thickness.
River terraces and crustal movement in the area around Narayanghat, central Nepal
Authors: Iwata Shuji , Nakata Takashi
Published: April 2021

The river terraces and hill landforms have been surveyed in the· Siwalik mountains around Narayanghat in order to understand the nature of regional crustal movement. The river terraces are classified into six groups by airphoto interpretation and a field survey including soil color comparison. Deformation of terrace surfaces were found, and a past course of the Kali Gandaki has been identified to exist at an altitude of 170m high above the present river bed. Accordingly, the Siwalik Mountains in the area have upheaved since pre-Last Inter-glacial time.
On the secondary magnetization observed in the Nawakot Complex rocks, Malekhu area, central Nepal
Authors: Gautam Pitambar , Yoshida Mitsuo
Published: April 2021

Paleomagnetic investigation on some Lesser Himalayan low-grade metasediments in the Malekhu area detected no primary magnetization while two distinct secondary magnetization components of its own type have been revealed. These components area interpreted as a recent field component (post-tectonic) and a pre-tectonic component probably of Eocene time.

A clockwise rotation of the Malekhu area by about 45° with respect to the Indian Shield since the early Tertiary time is inferred too.
The distribution of intensity of the Bihar-Nepal earthquake of 15 January 1934 and bounds on the extent of the rupture zone
Authors: Pandey M. R. , Molnar Peter
Published: April 2021

We have recompiled the descriptions of damage and destruction caused by the 15 January 1934 Bihar-Nepal earthquake, given by both Dunn et al. (1939) and by Major General Brahma Sumsher J. B. Rana (1935), to infer bounds on the dimensions of the rupture zone of that earthquake. The distribution of damage in northern India was very uneven, and much of that destruction was closely associated with slumping, fissuring, and tilting of the ground. The absence of any preferred orientation of the fissures and the prevalence of sand and water issued from fissures suggest that this disruption of  the  earth's  surface  was  limited  to  surficial  layers  and not to faulting of the  basement  beneath  that  area.  Thus  much  of  the  damage  in  northern India, perhaps the majority, was  not  due to  shaking  or  to  high  accelerations  of  the  ground, but rather to disruption ot the earth's surficial layers.

Except for three short trips to parts of Nepal by.  J.  B.  Auden, Dunn and his colleagues has access to little information from Nepal, and their descriptions of the effects of the earthquake in Nepal were brief. Rana, however, made extensive compilations both of destroyed buildings and of casualties in various districts and towns in Nepal, and it appears that the greatest destruction lay in the parts of Nepal that Auden did not visit. Where Rana and Auden gave independent assessments of the damage, their reports agreed sufficiently well, that the particularly heavy toll reported to have been taken by the earthquake in the mountainous terrain of east-central Nepal probably is not an exaggeration.  This area, in fact, includes the epicenter of the earthquake recalculated from arrival times of P waves.
Thrusting and Orogenesis: The Himalayan Front in central Nepal
Authors: Bashyal Ramesh , Delcaillau Bernard , Herail Gerard , Mascle Georges
Published: April 2021

In central Nepal, the Siwalik front represents the southernmost and younger thrust zone of the Himalayas. Here the detrital Mio-Pleistocene Siwalik Formations overthrust the Gangetic Quaternary. The morphostructural organization depends on lateral variations of the tectonic environment. Two main types are characterized. Escarped fronts (400 to 600 m. of relative altitude) coincide with steeply dipping structures, strong morphology resulting from a thrust ramp; immediately to the south the Terai alluvium are folded in relation with a blind thrust.  The smoothed fronts (100 to 300 m) correspond to a flat lying thrust.

This regional example allows to propose a geodynamic evolutionary model for a foreland thrust front. During the flat thrust motion, thickening and erosion are balanced (smoothed front). In the following time, the southward propagation of the deformation with addition of new units, results in the formation of a frontal ramp which induces a steepening of the structures. The rate of uplift is not compensated by erosion (escarped front).
Depthwise variation of carbon, nitrogen and biogenic silica in sediment from lakes of Pokhara Valley, Nepal
Authors: Khadka Udhab Raj , Ramanathan A. L.
Published: April 2021

Phewa and Begnas lakes in Pokhara Valley are playing important roles in ecological, economic, cultural and aesthetic aspects. However, due to increase in anthropogenic pressure and activities in the lake catchment, the nutrient load in the lakes has been substantially increased. The growth of algae and phytoplankton is largely dictated by carbon (C), nitrogen (N), phosphorus (P), and silica (Si) availability. Moreover, the increase in P and N loading leads to greater diatom production resulting in the accumulation of biogenic silica (BSi) in sediments. Thus, variation in C, N and BSi in sediment reflects the nutrient dynamics in the lake. In this connection, C, N and Si concentration serves as an indicator for growth of algae, including diatom, phytoplankton productivity, and overall phytoplankton efficiency. The preceding researches have mostly explained limnological characteristics and plankton diversity studies. Hence, information about sediment characteristics associated with nutrient loading and eutrophication seems yet to be wanting. The present study has been carried out to evaluate vertical variation of C, N and BSi in core sediments of the Phewa and Begnas lakes. The C and N was determined by CHNS analyzer and BSi was extracted by wet-alkaline digestion method and determined by molybdosilicate method. The result revealed increase in C, N and BSi contents toward the surface sediments compared to underlying layers suggesting increased rate of accumulation in recent deposits. The magnitude of C, N and BSi was higher in city-ward core of Phewa Lake explaining the influence of the urban inputs ...
Twórczość feministyczna a kobieca podmiotowość: ujęcie monstrualne
Authors: Szempruch Matylda
Published: April 2021

The article shows the relationship between philosophical thought and feminist art in terms of searching for subjectivity in women’s creations. This is a review of the theories proposed by Luce Irigaray, Hélène Cixous, Julia Kristeva, and by Judith Butler, Donna Haraway, and Rosi Braidotti, which, as this article proves, manifest themselves in the art that defines itself as feminist. Monstrosity is an important prospect here. The author presents écriture féminine and women’s literature, namely Charlotte Roche’s Wet Places and Izabela Filipiak’s Total Amnesia. Moreover, visual arts by Cindy Sherman, Chili Kumari Burman, Jo Spece, as well as a performance by Carolee Schneemann and ORLAN are discussed.
THE IMPACT OF THE COVID-19 ON THE FINANCIAL MARKETS: EVIDENCE FROM G7
Authors:   Escola Superior de Ciências Empresarias, Instituto Politécnico de Setúbal, Portugal, Heliodoro Paula , Dias Rui ,   Escola Superior de Ciências Empresarias, Instituto Politécnico de Setúbal, Portugal & CEFAGE, Universidade de Évora, Portugal, Alexandre Paulo ,   Escola Superior de Ciências Empresarias, Instituto Politécnico de Setúbal, Portugal, Manuel Maria ,   Escola Superior de Ciências Empresarias, Instituto Politécnico de Setúbal, Portugal
Published: April 2021

This essay aims to analyse the impact of the 2020 global pandemic on the stock indexes of France (CAC 40), Germany (DAX 30), USA (DOW JONES), United Kingdom (FTSE 100), Italy (FTSE MID), Japan (Nikkei 225) and Canada (TSX 300), from January 2018 to June 2020, with the sample being divided into two sub periods: first sub period from January 2018 to August 2019 (Pre-Covid); second period from September 2019 to June 2020 (Covid-19). In order to carry out this analysis, different approaches were taken in order to analyse whether: (i) the global pandemic (Covid-19) increased the persistence of the G7 financial markets? In the Pre-Covid period, we can verify the presence of long memories in the Canadian market (TSX), while the markets in France (CAC 40) and Italy (FTSE MID) show signs of balance, since the random walk hypothesis was not rejected. The German (DAX 30), USA (DJI), United Kingdom (FTSE 100) and Japan (NIKKEI 225) markets have anti-persistence (0 <α <0.5). In period II, the Covid-19-time scale is contained, and we verified the presence of significant long memories, except for the US stock index (0.49). These findings make it possible to show that the assumption of the market efficiency hypothesis may be called into question, because these markets are predictable, which validate the research question. The results of the pDCCA correlation coefficients, in the Pre-Covid period, show 14 pairs of median markets (0.333 → ≌ 0.666). We can also see 7 pairs of markets with strong correlation coefficients (0.666 → ≌ 1,000), showing that these markets have a tendency towards integration, this evidence may call into question the hypothesis of portfolio diversification. In period II (Covid-19) the λ_DCCA correlation coefficients have 7 strong market pairs (0.666 → ≌ 1,000), 5 pairs have weak pDCCA coefficient (0.000 → ≌ 0.333), 5 market pairs show anti-correlation (-1.000 → ≌ 0.000), and 4 market pairs show median coefficients (pDCCA) (0.333 → ≌ 0.666) (out of 21 possible). When compared to the previous subperiod, we found that the majority of the pDCCAs decreased, which shows that the markets have decreased their integration, making it possible to diversify portfolios in certain markets, especially in the Japanese market (NIKKEI 225). These conclusions open space for market regulators to take measures to ensure better informational information, in the stock markets, in the 7 most advanced economies in the world.
About the Reasons for the Volunteer Activity of Medical University Students during the COVID-19 Pandemic and Its Certain Psychological Aspects
Authors: Sudakov Dmitrii Valerievich , Sudakov Oleg Valerievich , Iakusheva Natalia Vladimirovna , Shevtsov Artiom Nikolaevich , Belov Evgenii Vladimirovich
Published: April 2021

The article is devoted to the study of the reasons for volunteering among students of a medical university during the Covid-19 pandemic, with the definition of some of its psychological aspects. This topic is currently very relevant, since now a pandemic of a new coronavirus infection continues in the world. Given the widespread shortage of medical personnel, volunteer assistance is becoming an extremely important aspect in the comprehensive process of providing comprehensive care to covid patients. Medical students in their volunteering activities most often find their «place» either in hospitals or in call centers. The objects of a 2-stage study, conducted in May – June 2020 and in December – January 2021, were 150 medical students, divided by 50 people into 3 groups, depending on the course of students (1–2, 3–4, 5–6). The main reasons that prompted medical students to volunteer were studied, as well as their changes in dynamics, from the «first wave» to the «second wave» of Covid-19. It was found that most of the future doctors were eager to help people and participate in the general fight against the new coronavirus infection. The next part of the study was to determine, using the Spielberg method, the levels of anxiety among students during the «first and second» waves. A certain dynamics of various levels of anxiety was revealed, which may indicate a kind of psychological adaptation. This work is of certain interest, both for practicing psychologists and for teachers of higher education.
Use of Municipal Education Resources for the Forming of Integrated Program of Environmental Education of the Population
Authors: Matasova Irina Iurevna , Panchenko Irina Vladimirovna , Statsenko Oksana Vladimirovna
Published: April 2021

The problems of organizing the system of continuing education as one of the elements of ensuring environmental safety in urbanized territories are considered. The empirical basis was the normative-legal acts, scientific articles and literature, statistical data, reports conducted on the territory of the Ministry of Defense of the city of Novorossiysk. The analysis of the material allowed us to study the experience of local authorities, educational institutions, commercial structures and public organizations in this area and formulate proposals to improve their effectiveness.
PENGEMBANGAN TTCT-V (TORRANCE TEST OF CREATIVE THINKING VERBAL) BERBASIS LINGKUNGAN UNTUK TINGKAT SMA
Authors: Lailah fauziah  , Rizkiyah Fitri , Miarsyah Mieke , Hendi Ristanto Rizhal
Published: April 2021

ABSTRAK: Kemampuan berpikir kreatif perlu dimiliki oleh para siswa dalam mempelajari berbagai persoalan terkait lingkungan. Tujuan dari penelitian ini yaitu untuk mendesain instrumen tes yang dapat mengukur kemampuan berpikir kreatif siswa SMA pada pokok bahasan pencemaran lingkungan. Instrumen dikembangkan berdasarkan indikator dan bentuk tes verbal yang dicetuskan oleh Torrance. Metode penelitian yang digunakan adalah metode penelitian dan pengembangan (research and development) dengan model 4D yang dicetuskan oleh Tiagarajan, Semmel, dan Semmel (1974). Instrumen yang dibuat divalidasi oleh 4 validator ahli (1 dosen biologi S1 dan 3 guru biologi SMA yang berpengalaman dalam dunia pendidikan selama >5 tahun). Berdasarkan uji validitas yang dilakukan didapatkan hasil dengan kategori sangat valid atau layak digunakan. Instrumen ini dapat membantu pendidik dalam menentukan strategi pembelajaran apa yang cocok diterapkan guna mendukung perkembangan kemampuan berpikir kreatif siswa.
Mujeres, universidad y equidad de género
Authors: Martínez Ortega Ángela
Published: April 2021

Hay una cuestión que permite identificar similitudes entre todas las mujeres, y es el hecho de haber sido víctimas de algún tipo de violencia en algún momento de la vida. La multiplicidad de formas en que las violencias y la discriminación se manifiestan sobre la vida de las mujeres hace que, quizás, ninguna escape a las estrategias, directas o sutiles, de subalternización, minorización, dominación y agresión, cimentadas en el sistema androcéntrico, heteronormativo y patriarcal vigente, a partir del cual se construyen las relaciones entre los seres humanos y se legitiman categorías socio-simbólicas de exclusión, como el género, el sexo, la raza, la etnia, la clase o la orientación sexual.
Dialektik der Religionsfreiheit? Zur aktuellen Krisendiagnose eines liberalen Rechts
Authors: Schendel Marco
Published: April 2021

Gegen das Menschenrecht auf Religions- und Weltanschauungsfreiheit treten aktuell nicht nur die anhaltenden, überall auf der Welt zu beklagenden Verletzungen des Rechts auf. Auch Kritik an den normativen Grundlagen und der Legitimität ist zu verzeichnen. In den Augen einiger liberaler Theoretiker verkehrt die Religionsfreiheit die Prinzipien, denen sie sich verschreibt: Diversität, Gleichheit, Säkularität. In dem systematischen Beitrag soll die liberale Kritik an der Religionsfreiheit einer Prüfung unterzogen werden. Sie deckt im Ergebnis die eklatanten Mängel der Kritik auf und rehabilitiert die grundsätzliche Legitimität des Menschenrechts.
Decreases in Short Term Memory, IQ, and Altered Brain Metabolic Ratios in Urban Apolipoprotein ε4 Children Exposed to Air Pollution
Authors: Calderón-Garcidueñas Lilian , Mora-Tiscareño Antonieta , Franco-Lira Maricela , Zhu Hongtu , Lu Zhaohua , Solorio Edelmira , Torres-Jardón Ricardo , D’Angiulli Amedeo
Published: April 2021

Children’s urban air pollution exposures result in systemic and brain inflammation and the early hallmarks of Alzheimer’s disease (AD). The apolipoprotein E (APOE) ε4 allele is the most prevalent genetic risk for AD. We assessed whether APOE in healthy children modulates cognition, olfaction, and metabolic brain indices. The Wechsler Intelligence Scale for Children (WISC-R) and the University of Pennsylvania Smell Identification Test were administered to 50 Mexico City Metropolitan Area children (13.4 ± 4.8 years, 28 APOE ε3 and 22 APOE ε4). N-acetylaspartate (NAA)/creatine (Cr), choline (Cho)/Cr, myo-inositol (mI)/Cr, and NAA/mI were calculated using proton magnetic resonance spectroscopy in the white matter of the frontal and parietal lobes, hippocampus, and pons. APOE ε4 versus ε3 children had a reduced NAA/Cr ratio in the right frontal white matter and decrements on attention, short-term memory, and below-average scores in Verbal and Full Scale IQ (>10 points). APOE modulated the group effects between WISC-R and left frontal and parietal white matter, and hippocampus metabolites. Soap was the predominantly failed odor in urban children and, in APOE ε4 versus ε3 carriers, strongly correlated with left hippocampus mI/Cr ratio. APOE modulates responses to air pollution in the developing brain. APOE ε4 carriers could have a higher risk of developing early AD if they reside in a polluted environment. APOE, cognition, and olfaction testing and targeted magnetic resonance spectroscopy may contribute to the assessment of urban children and their results could provide new paths toward the unprecedented opportunity for early neuroprotection and AD prevention.
How do we know that it works? Designing a digital democratic innovation with the help of user-centered design
Authors: Berg Janne , Lindholm Jenny , Högväg Joachim
Published: April 2021

Civic technology is used to improve not only policies but to reinforce politics and has the potential to strengthen democracy. A search for new ways of involving citizens in decision-making processes combined with a growing smartphone penetration rate has generated expectations around smartphones as democratic tools. However, if civic applications do not meet citizens’ expectations and function poorly, they might remain unused and fail to increase interest in public issues. Therefore, there is a need to apply a citizen’s perspective on civic technology. The aim of this study is to gain knowledge about how citizens’ wishes and needs can be included in the design and evaluation process of a civic application. The study has an explorative approach and uses mixed methods. We analyze which democratic criteria citizens emphasize in a user-centered design process of a civic application by conducting focus groups and interviews. Moreover, a laboratory usability study measures how well two democratic criteria, inclusiveness and publicity, are met in an application. The results show that citizens do emphasize democratic criteria when participating in the design of a civic application. A user-centered design process will increase the likelihood of a usable application and can help fulfill the democratic criteria designers aim for.
A computational framework for finding parameter sets associated with chaotic dynamics
Authors: Koshy-Chenthittayil S. , Dimitrova E. , Jenkins E.W. , Dean B.C.
Published: April 2021

Many biological ecosystems exhibit chaotic behavior, demonstrated either analytically using parameter choices in an associated dynamical systems model or empirically through analysis of experimental data. In this paper, we use existing software tools (COPASI, R) to explore dynamical systems and uncover regions with positive Lyapunov exponents where thus chaos exists. We evaluate the ability of the software’s optimization algorithms to find these positive values with several dynamical systems used to model biological populations. The algorithms have been able to identify parameter sets which lead to positive Lyapunov exponents, even when those exponents lie in regions with small support. For one of the examined systems, we observed that positive Lyapunov exponents were not uncovered when executing a search over the parameter space with small spacings between values of the independent variables.
Association Between Early Psychotic Symptoms and Alzheimer’s Disease Prognosis in a Community-Based Cohort
Authors: Gottesman Reena T. , Kociolek Anton , Fernandez Kayri , Cosentino Stephanie , Devanand D.P. , Stern Yaakov , Gu Yian
Published: April 2021

Background: Psychotic symptoms are an important and increasingly recognized aspect of Alzheimer’s disease (AD). They have been shown to contribute to faster disease progression in clinic-based, demographically homogenous samples with high educational attainment. Objective: We studied the association between baseline psychotic symptoms and disease progression among individuals with incident AD or ‘at risk’ of developing AD, from a demographically heterogenous, community-based cohort with minimal educational attainment. Methods: 212 participants received the Columbia University Scale of Psychopathology in Alzheimer’s Disease scale. Participants had psychotic symptoms with any of: visual illusions, delusions, hallucinations, or agitation/aggression. Disease progression was measured yearly and defined by meeting cognitive (≤10 on the Folstein MMSE) or functional endpoints (≥10 on the Blessed Dementia Rating Scale or ≥4 on the Dependence Scale). Results: The mean age was 85 years old. The cohort was 78.3% female, 75.9% Hispanic, and had a mean 6.96 years of education. Within the follow-up period (mean: 3.69 years), 24 met the cognitive endpoint, 59 met the functional endpoint, and 132 met the cutoff for dependence. The presence of at least one psychotic symptom was initially associated with an increased risk of reaching the functional endpoint (HR 3.12, 95% CI 1.67–5.86, p < 0.001) and the endpoint of dependence (HR = 1.498, 95% CI 1.05–2.13, p = 0.03). However, these associations were attenuated and non-significant when adjusted for baseline functional status. Psychotic symptoms were not associated with the cognitive endpoint. Conclusion: Psychotic symptoms may predict functional decline in patients of non-Caucasian ethnicity and with lower educational attainment.
A mixed image segmentation method based on intelligent equipment
Authors: Qi Xiangwei , Ge Ren , Chen Bingcai , Altenbek Gulila
Published: April 2021

Taking Uyghur character recognition as an example, this paper use a method of image segmentation which combines traditional methods with CNN, and transforms and implements the Uyghur character on intelligent devices. Firstly, after analyzing the application of several general segmentation methods, this paper finds some shortcomings but also some ideas for Uighur segmentation. Then, starting from the characteristics of Uyghur language, such as structure, word formation and input habits, the author studies the idea of Uyghur adhesive language segmentation from the perspective of language characteristics, puts forward the basic algorithm of Uyghur symbol segmentation, and applies the Uyghur character adhesion segmentation based on minimum spanning tree and multi-queue primitive merging model to improve the segmentation efficiency. In addition, in order to solve the limitations of the traditional handwriting recognition framework of “preprocessing + feature extraction + classifier”, this paper puts forward a new solution of Uyghur handwriting recognition technology combining prior domain knowledge with CNN, constructs a Uyghur handwriting recognition model on the basis of CNN and random elastic deformation, and also improves the recognition rate of the system by combining domain knowledge with CNN. According to the experimental results, we can conclude that the mixed method proposed in this paper can effectively break the technical bottleneck of traditional methods, thus improving the efficiency of segmentation and recognition.
Optimization and practice of requirement analysis based on prototype portrait in software development process
Authors: Yue Mingyu , Feng Haiyan
Published: April 2021

Aiming at the problems of incomplete description, ambiguity and inconsistency in the traditional requirements analysis method based on prototype system in software development, this paper proposes a requirement analysis method based on prototype portrait, introduces the process of obtaining the software requirement specification and designing the software by using the prototype portrait method according to the user’s requirements, and formalizes the process of the method, and develops the software with the prototype portrait requirement document approved by the customer, so as to ensure the correctness of the designed functional requirements. The practical results show that the requirement analysis method based on prototype portrait overcomes the problems of long development cycle and high failure rate existing in the traditional requirements analysis method of prototype system, and improves the quality and cycle of software development.
Heterogeneous fairness algorithm based on federated learning in intelligent transportation system
Authors: Jiang Yue , Xu Gaochao , Fang Zhiyi , Song Shinan , Li Bingbing
Published: April 2021

With the development of the Intelligent Transportation System, various distributed sensors (including GPS, radar, infrared sensors) process massive data and make decisions for emergencies. Federated learning is a new distributed machine learning paradigm, in which system heterogeneity is the difficulty of fairness design. This paper designs a system heterogeneous fair federated learning algorithm (SHFF). SHFF introduces the equipment influence factor I into the optimization target and dynamically adjusts the equipment proportion with other performance. By changing the global fairness parameter θ, the algorithm can control fairness according to the actual needs. Experimental results show that, compared with the popular q-FedAvg algorithm, the SHFF algorithm proposed in this paper improves the average accuracy of the Worst 10% by 26% and reduces the variance by 61%.
Design and implementation of typical dynamic traffic scenes based on virtual reality technology
Authors: Si Zhanjun , Xie Xinhui , Zhang Donghan
Published: April 2021

It is of great significance to simulate dangerous traffic environment with vehicle driving simulator for reducing and preventing road traffic accidents. Firstly, a typical dynamic traffic scene was obtained and designed by using genetic algorithm, then a chaotic algorithm based on computer virtual reality scene was proposed. Finally, a dynamic scene in urban road scene was taken as an example, of which the simulation was designed and implemented by using virtual reality technology. The results show that the virtual operating environment of driver micro-traffic simulation can be effectively constructed with the combination of virtual reality technology and dynamic traffic scene.
Influencing factors of young university teachers’ political attitudes and value orientation based on ISM-fuzzy
Authors: Yang Yue , Ding Sanqing
Published: April 2021

The political attitude and value orientation of young teachers in colleges and universities play an important role in running a socialist university with China’s characteristics, cultivating young people’s correct values and builders of socialism with China’s characteristics. To explore the influencing factors of young university teachers’ political attitudes and value orientation, by constructing the interpretive structure model (ISM) and fuzzy theory, seven major influencing factors were analyzed that affect the political attitude and value orientation of young teachers in colleges and universities, and a hierarchical structure between influencing factors was explained. As a basic basis, this study puts forward the countermeasures to improve the political quality of young teachers in colleges and universities, strengthen the propaganda and ideological work in universities, and promote the overall education reform.
A system dynamics model for routing and scheduling of cross-dock and transportation in reverse logistics network of perishable goods
Authors: Abbasi-Tavallali Pezhman , Feylizadeh Mohammad Reza , Amindoust Atefeh
Published: April 2021

Cross-dock is defined as the practice of unloading goods from incoming vehicles and loading them directly into outbound vehicles. Cross-docking can simplify supply chains and help them to deliver goods to the market more swiftly and efficiently by removing or minimizing warehousing costs, space requirements, and use of inventory. Regarding the lifetime of perishable goods, their routing and scheduling in the cross-dock and transportation are of great importance. This study aims to analyze the scheduling and routing of cross-dock and transportation by System Dynamics (SD) modeling to design a reverse logistics network for the perishable goods. For this purpose, the relations between the selected variables are first specified, followed by assessing and examining the proposed model. Finally, four scenarios are developed to determine the optimal values of decision variables. The results indicate the most influencing factors on reaching the optimal status is the minimum distance between the cross-dock and destination, rather than increasing the number of manufactories.
Filtration network: A frame sampling strategy via deep reinforcement learning for video captioning
Authors: Qian Tiancheng , Mei Xue , Xu Pengxiang , Ge Kangqi , Qiu Zhelei
Published: April 2021

Recently many methods use encoder-decoder framework for video captioning, aiming to translate short videos into natural language. These methods usually use equal interval frame sampling. However, lacking a good efficiency in sampling, it has a high temporal and spatial redundancy, resulting in unnecessary computation cost. In addition, the existing approaches simply splice different visual features on the fully connection layer. Therefore, features cannot be effectively utilized. In order to solve the defects, we proposed filtration network (FN) to select key frames, which is trained by deep reinforcement learning algorithm actor-double-critic. According to behavior psychology, the core idea of actor-double-critic is that the behavior of agent is determined by both the external environment and the internal personality. It avoids the phenomenon of unclear reward and sparse feedback in training because it gives steady feedback after each action. The key frames are sent to combine codec network (CCN) to generate sentences. The operation of feature combination in CCN make fusion of visual features by complex number representation to make good semantic modeling. Experiments and comparisons with other methods on two datasets (MSVD/MSR-VTT) show that our approach achieves better performance in terms of four metrics, BLEU-4, METEOR, ROUGE-L and CIDEr.
MLAF-CapsNet: Multi-lane atrous feature fusion capsule network with contrast limited adaptive histogram equalization for brain tumor classification from MRI images
Authors: Adu Kwabena , Yu Yongbin , Cai Jingye , Mensah Patrick Kwabena , Owusu-Agyemang Kwabena
Published: April 2021

Convolutional neural networks (CNNs) for automatic classification and medical image diagnosis have recently displayed a remarkable performance. However, the CNNs fail to recognize original images rotated and oriented differently, limiting their performance. This paper presents a new capsule network (CapsNet) based framework known as the multi-lane atrous feature fusion capsule network (MLAF-CapsNet) for brain tumor type classification. The MLAF-CapsNet consists of atrous and CLAHE, where the atrous increases receptive fields and maintains spatial representation, whereas the CLAHE is used as a base layer that uses an improved adaptive histogram equalization (AHE) to enhance the input images. The proposed method is evaluated using whole-brain tumor and segmented tumor datasets. The efficiency performance of the two datasets is explored and compared. The experimental results of the MLAF-CapsNet show better accuracies (93.40% and 96.60%) and precisions (94.21% and 96.55%) in feature extraction based on the original images from the two datasets than the traditional CapsNet (78.93% and 97.30%). Based on the two datasets’ augmentation, the proposed method achieved the best accuracy (98.48% and 98.82%) and precisions (98.88% and 98.58%) in extracting features compared to the traditional CapsNet. Our results indicate that the proposed method can successfully improve brain tumor classification problems and support radiologists in medical diagnostics.
A fuzzy computational approach for selecting interdependent projects using prioritized criteria
Authors: Beseiso Majdi , Kumar Gulshan
Published: April 2021

This paper presents a fuzzy computational approach for selecting project portfolio by combining fuzzy logic, Quality Function Deployment (QFD) and Genetic algorithm (GA) approaches with the consideration of prioritized selection criteria as per objectives of the organization to make decisions effectively with incomplete and ambiguous information to help in portfolio selection. This approach addresses the issues of the uncertainty of experts in selecting projects, prioritizing criteria before initiating project selection process and evaluating the number of interdependent projects for their maximal values. It completes the task in three stages. Firstly, it involves interaction with experts to extract fuzzy input about the benefits of organization and selection criteria for selecting a project portfolio. The second stage requires the application of fuzzy QFD to prioritize criteria before deciding the project portfolio. In this stage, the paper contributes a method for using fuzzy values in a distinct way for obtaining priorities of selection criteria. The final stage evaluates the candidate projects concurrently based on top priority selection criteria by considering interrelation among projects by proposing a distinct fitness function of GA. The validity of the proposed approach is demonstrated by an example that considers three experts, three objectives of the organization and four selection criteria.
Trilinear fuzzy seepage model of shale gas reservoirs with multiple fuzzy parameters
Authors: Zhang Duo , Nguang Sing Kiong , Shu Lan , Qiu Dong
Published: April 2021

This paper focuses on establishing the trilinear fuzzy seepage model with multiple fuzzy parameters for shale gas reservoirs. Different from the conventional seepage models of shale gas reservoirs, the multiple fuzzy parameters seepage model uses fuzzy numbers to describe some parameters with uncertainty. Firstly, the multiple fuzzy parameters seepage model is constructed based on fuzzy concepts. The fuzzy structure element method and the centroid method are used to solve the fuzzy seepage model and defuzzifier, respectively. Secondly, the advantages of the development fuzzy model over the conventional seepage model are discussed and illustrated through numerical examples and simulations. Finally, to further study the seepage laws inside shale gas reservoirs, this paper explores the sensitivity of relevant main control parameters to gas production based on the development model.
Forecasting football matches by predicting match statistics
Authors: Wheatcroft Edward
Published: April 2021

This paper considers the use of observed and predicted match statistics as inputs to forecasts for the outcomes of football matches. It is shown that, were it possible to know the match statistics in advance, highly informative forecasts of the match outcome could be made. Whilst, in practice, match statistics are clearly never available prior to the match, this leads to a simple philosophy. If match statistics can be predicted pre-match, and if those predictions are accurate enough, it follows that informative match forecasts can be made. Two approaches to the prediction of match statistics are demonstrated: Generalised Attacking Performance (GAP) ratings and a set of ratings based on the Bivariate Poisson model which are named Bivariate Attacking (BA) ratings. It is shown that both approaches provide a suitable methodology for predicting match statistics in advance and that they are informative enough to provide information beyond that reflected in the odds. A long term and robust gambling profit is demonstrated when the forecasts are combined with two betting strategies.
On Computable Expressions of Policies for Digital Health: Use for Privacy Consent
Authors: Milosevic Zoran
Published: April 2021

This paper proposes a formal model for expressing policies in digital health. The aim is to support computable expressions of legislative, regulative and organizational policies. The model is grounded in the semantics of deontic logic [1] and in modelling concepts for expressing accountability, specified in the new RM-ODP Enterprise Language standard [2]. An example of privacy consent based on the FHIR consent resource [3] is used to explain the use of these modelling concepts. The example involves multiple stakeholders and illustrates the complexity associated with the use of machine learning and artificial intelligence systems as part of healthcare delivery governed by informed consent policies.
Automated Inter-Ictal Epileptiform Discharge Detection from Routine EEG
Authors: Nhu Duong , Janmohamed Mubeen , Shakhatreh Lubna , Gonen Ofer , Kwan Patrick , Gilligan Amanda , Wei Tan Chang , Kuhlmann Levin
Published: April 2021

Epilepsy is the most common neurological disorder. The diagnosis commonly requires manual visual electroencephalogram (EEG) analysis which is time-consuming. Deep learning has shown promising performance in detecting interictal epileptiform discharges (IED) and may improve the quality of epilepsy monitoring. However, most of the datasets in the literature are small (n≤100) and collected from single clinical centre, limiting the generalization across different devices and settings. To better automate IED detection, we cross-evaluated a Resnet architecture on 2 sets of routine EEG recordings from patients with idiopathic generalized epilepsy collected at the Alfred Health Hospital and Royal Melbourne Hospital (RMH). We split these EEG recordings into 2s windows with or without IED and evaluated different model variants in terms of how well they classified these windows. The results from our experiment showed that the architecture generalized well across different datasets with an AUC score of 0.894 (95% CI, 0.881–0.907) when trained on Alfred’s dataset and tested on RMH’s dataset, and 0.857 (95% CI, 0.847–0.867) vice versa. In addition, we compared our best model variant with Persyst and observed that the model was comparable.
Asynchronous Teleconsultations: The US Military Experience in the Pacific
Authors: Mbuthia Jennifer , Miller Mechelle
Published: April 2021

Tripler Army Medical Center (TAMC), located in Honolulu, Hawaii, serves as the US military’s tertiary medical referral center for the Western Pacific. Over 20 years ago, the TAMC Department of Pediatrics developed an asynchronous provider-to-provider teleconsultation pilot program, eventually named the Pacific Asynchronous TeleHealth (PATH) system. A secure teleconsultation platform for pediatric sub-specialty provider-to-provider advice, the platform grew based on the needs of users, eventually expanding to serve all age-groups, with over 60 different specialties based at TAMC providing teleconsultation. Eventually, the success of PATH drove further expansion to serve military clinicians located in other overseas locations beyond the Asia-Pacific. This cost-effective model can be applied to civilian healthcare settings, particularly where geographic distance or limited connectivity are challenges to delivery of synchronous telehealth or in-person specialty care.
BIMBINGAN DALAM MENUMBUHKAN SIFAT MALU PERSPEKTIF HADIS NABI SAW
Authors: Chan Sukmasari Dewi , Halik Al
Published: April 2021

Abstract

Don't get embarrassed, this is what the author will cover in this article. The author departs from the phenomenon of waning shame that is rife today. A person can easily indulge in his genitals, indulge in disgrace, or walk in front of the camera which is then shown to the crowd. Unfortunately there are still many who feel ashamed to do good, convey the truth, study and others. Therefore in this article the writer will explain how the hadith of the Prophet SAW views shame itself. The author uses the maudhu'iy method, collecting traditions that have a theme related to the title the author adopts. To trace the hadiths related to the shyness of the author, use the Kitab al-Mu'jam al-Mufahras li Alfazh al-Hadis al-Nabawi by A.J Weinsink with the keyword that the author searched for was.
The Economics of Sexed Semen in Dairy Heifers and Cows
Authors: De Vries Albert
Published: April 2021

AN214, a 13-page fact sheet by Albert De Vries, summarizes the recent literature on sexed semen use in dairy heifers and cows and evaluates the economics of the use of sexed semen in heifers and cows. Includes references. Published by the UF Department of Animal Sciences, March 2009.
The Issue of Food Security in Cuba
Authors: Alvarez José
Published: April 2021

Since the establishment of the food rationing system in 1962, the issue of food security has been an important one in Cuban life. This fact sheet tries to provide an answer to the question: Are Cubans adequately fed? This is EDIS document FE483, a publication of the Department of Food and Resource Economics, Florida Cooperative Extension Service, UF/IFAS, University of Florida, Gainesville, FL. Published July 2004.

FE483/FE483: The Issue of Food Security in Cuba (ufl.edu)
Potential Problems Facing the U.S. Nursery Industry
Authors: Evans Edward A.
Published: April 2021

This fact sheet focuses on the possible impact of free trade on the U.S. nursery industry. The nursery crops covered include ornamental plants and trees with woody stems (broadleaf evergreens, coniferous evergreens, deciduous shade trees, deciduous flowering trees, deciduous shrubs and other ornamentals, fruit and nut plants for home use, cut and to-be-cut Christmas trees, and propagation material or lining-out stock). This is EDIS document FE491, a publication of the Department of Food and Resource Economics, Florida Cooperative Extension Service, UF/IFAS, University of Florida, Gainesville, FL. Published August 2004. 

https://edis.ifas.ufl.edu/fe491
Understanding the WTO Sanitary and Phytosanitary Agreement
Authors: Evans Edward A.
Published: April 2021

This publication is part of the Understanding Trade Policy Issues series. International trade liberalization and the general globalization of the world economy over the past two decades has meant that growers, businesses, and community groups must become familiar with trade polices and their terminologies to reap the benefits of globalization and to minimize costs. Consequently, the aim of this series is to help people understand the issues involving the benefits and problems associated with global trade. This publication, the first of the series, discusses the term “WTO-SPS Agreement” (the Sanitary and Phytosanitary Agreement under the World Trade Organization). This is EDIS document FE492, a publication of the Department of Food and Resource Economics, Florida Cooperative Extension Service, UF/IFAS, University of Florida, Gainesville, FL. Published August 2004.

https://edis.ifas.ufl.edu/fe492