bluuebunny/crossref_metadata_2025 huggingface dataset:
Medical Rehabilitation Through the Prism of Legally Approved Definitions
Authors: Kochubey A.V. , Chernyakhovsky O.B. , Salamadina G.E. , Kochubey V.V. , Burtsev A.K.
Published: December 2020

As part of an analytical review of federal law “On the basics of protecting the health of citizens in the Russian Federation”, an attempt was made to distinguish the conceptual independence of medical rehabilitation among categories such as medical care and treatment. The analysis showed that the definition of “treatment” indicates the same goal as for the hierarchically higher category “medical care”. For this reason, the definition of treatment meets the goal of another hierarchically equal category of “medical rehabilitation”. The absence of an ideological difference between the concepts of “treatment” and “medical rehabilitation” raises doubts about the independence of the latter term. The approved definitions of other hierarchically equal categories “prevention”, “diagnostics”, “medical rehabilitation” have their own independent target orientation, cascading with the purpose of providing medical care. Due to the identity of “treatment” and “medical rehabilitation” terms it is impossible to divide them according to objects or methods of exposure. Within the framework of the fixed concepts, treatment and rehabilitation impacts the same objects: structures, functions, and categories of life. There are no differences in the methods of exposure during treatment and medical rehabilitation, i.e. between medical interventions and interventions of a medico-psychological nature, whereas the current definition of “medical intervention” includes manipulations performed by a nonmedical professional, concerning persons’ physical or mental state of and having a rehabilitation orientation. Dividing the concepts of “treatment” and “medical rehabilitation” by subjects responsible for achieving the goal is not enough to distinguish the category of “treatment”. The independence of this category could be emphasized by narrowing the definition of treatment, defining its purpose solely as “elimination or relief of the disease or condition manifestations”. Such a concept meets the boundaries of medical care goal, but refers only to its part, it has its own hierarchy level in the medical care compounds, but it does not occupy the area of “medical rehabilitation” and other hierarchically equal categories.
Features of the Functional State of the Cardiovascular System and Microcirculation Processes in Patients with Neurocirculatory Asthenia and Fatigue
Authors: Fesyun A.D. , Kulchitskaya D.B. , Konchugova T.V. , Apkhanova T.V. , Uyanaeva A.I. , Yakovlev M.Yu.
Published: December 2020

Today, the urgent task of medicine is early diagnosis and differentiation of various functional disorders, which creates prerequisites for further adequate selection of drug and non-drug therapy. Based on the above, the aim of this study was to study the features of the functional state of the cardiovascular system, including microcirculatory processes, in patients with neurocirculatory asthenia and fatigue.
Methods. The study included 51 patients with Fatigue and 52 patients with NCA. All patients were tested with physical activity on a Bicycle Ergometer, echocardiography, and the study of microcirculation using laser Doppler flowmetry.
Results. Based on the conducted research, it was established that the tolerance to physical activity in the majority of patients with NCA and fatigue was reduced. However, in the group of patients with NCA, low tolerance was observed 2 times more often than in patients with Fatigue. In patients with NCA and overwork, the heterogeneity of microcirculatory disorders, manifested as hyperemic and spastic types of hemomicrocirculation, was established. At the same time, patients with NCA are 33% more likely to have a spastic type and 20% less likely to have a hyperemic type of microcirculation compared to patients with fatigue.
Conclusion. The research has revealed the features of the functional state of the cardiovascular system and microcirculation processes in patients with neurocirculatory asthenia and fatigue. This makes it possible for early diagnosis and differentiation of the above functional diseases, which creates prerequisites for an adequate selection of drug and non-drug therapy.
Evolution of the Global Financial Market Regulation in the Post-Crisis Period of Global Economic Recovery
Authors: Dubinin Sergey
Published: December 2020

This article focuses on changes in regulation of financial markets abroad after the financial crisis of 2007-2009 and provides comments on the effectiveness of such regulation. Specially the author analyzes the risks that the derivatives market creates for the financial sector and proposes mechanisms to enhance transparency and stability of the market. The author considers how introduction rules of FATCA and FCPA to the U.S. will influence on the financial sector, the possibility of continuing Russian banks overseas financial transactions, the cost of loans to Russian companies. Also the author writes how the introduction of Tobin tax will impact on international financial transactions in Europe. He describes the changes in the area of offshore jurisdictions in the world occur. There is the experience of creating an international financial center abroad. He gives information on what measures taken to transform the emirate of Dubai to International Financial Centre. In conclusion, the author proposes measures of increase of investment attractiveness of Russia and the possibility of establishing a Russian international financial center.
Study of the demand for agricultural insurance in the Republic of Kazakhstan
Authors: Baeva Yuliya
Published: December 2020

The article presents the results of a study of the demand for agricultural insurance in the Republic of Kazakhstan. For about 16 years, Kazakhstan had a system of compulsory insurance in crop production, but the level of insured areas fluctuated from year to year, reaching their minimum value of 38% in 2019. Drawing on statistics from 2010 to 2018 of the two largest cereal growing regions (Kostanay and Akmola regions) and using the weighted least squares method, the author constructs an econometric model of the dependence of insured areas share on a number of factors. The determinants for the analysis were such indicators as the gross profit of agricultural producer, yield results, material costs, rainfall in winter and pre-sowing season.
Determinants of fertility in Russian families
Authors: Sakhbetdinova Kamilya
Published: December 2020

Competent demographic policy implies an understanding by the state of the economic, social, and demographic processes taking place in society. In earlier Russian and foreign studies, the authors found a number of fertility factors, however, the direction of influence of such determinants could be opposite. Aware of the special influence of sociocultural attitudes and values of the population on the number of children in a family, the author made an attempt to identify the determinants of fertility based on an empirical study of the World Values Survey. Using statistical and econometric methods, models that reflect the determinants of fertility in modern Russia were constructed. This work revealed a positive effect on the birth rate of religiosity, traditional views and the importance of the family for the respondent. Inversely related to the number of children in a family such factors as the level of education of the population and the value of leisure.
Synergistic effect of Zinc Oxide nanoparticles and Vancomycin on Methicillin resistant Staphylococcus aureus
Authors: Thamer Reyam , Alsammak Essra
Published: December 2020

The study was carried out on (120) various clinical samples collected from patients attended Al Salam and Al-Khansa Hospitals and the Public Health Laboratory in the Mosul city during the of 4 months (September - December 2019). Samples were cultured on Mannitol Salt Agar medium, 105 samples give a positive result (grew the bacteria). 50 isolates were fermented mannitol sugar, at a rate of 47.6%, depending on the phenotypic characteristics and production of Coagulase, 14 isolates were identified, at a rate of 13.3%, belonging to Staphylococcus aureus the diagnosis were confirmed using VITEK system. The highest isolation rate from wounds was 57%, then abscesses 21%, blood samples 14%, and urinary tract infections 7%. The sensitivity of the isolates was tested for 16 antibiotics, the isolates showed variation in their resistance to antibiotics. Most of the isolates showed high resistance at 92.8% to each of Oxacillin, Vancomycin, which were diagnosed as MRSA and VRSA. Vancomycin MICs against MRSA and VRSA ranged (2500-5000) g /mL. MIC for nanoparticles sized (30, 20, 50-150) nm ranged (5000-10000) g / mL for isolates that are positive coagulase. In this study the efficacy of vancomycin was improved in combination with ZnO nanoparticles. results showed a decrease in vancomycin MICs from (2500-5000) g / mL to (39-78.125) g \ mL when mixed with ZnO 20 nm.
Sürdürülebilir Kalkınma Kapsamında Yeşil Lojistik: Avrupa Birliği ve Türkiye Örneği
Authors: METE Emrullah
Published: December 2020

Lojistik ve ulaştırma altyapısındaki gelişmeler, ticaret hacmini artırma ve uluslararası rekabet gücü açısından hayati öneme sahiptir. Lojistik faaliyetlerinin artışı ise sera gazı ve karbondioksit emisyonlarındaki yükselmeyle birlikte çevre üzerinde olumsuz etki yaratmaktadır. Lojistik faaliyetlerinin olumsuz etkisini azaltmak amacıyla ortaya çıkarılan yeşil lojistik ile çevresel, sosyal ve ekonomik hedefler arasında sürdürülebilir bir dengenin kurulması amaçlanmaktadır. Bu çalışmanın amacı lojistik faaliyetlerindeki gelişimin sera gazı ve karbondioksit emisyonu üzerindeki etkisinin araştırılmasıdır. Bu kapsamda, 2010 – 2018 döneminde Avrupa Birliği üyesi 26 ülke ve Türkiye’de gerçekleşen lojistik faaliyetlerin sera gazı ve karbondioksit emisyonları üzerindeki etkisi panel regresyon modeli ile analiz edilmiştir. Analiz sonuçlarına göre, ülkelerin lojistik faaliyetlerindeki gelişim ile sera gazı ve karbondioksit emisyonları arasında negatif ve anlamlı bir ilişkiye ulaşılmıştır. Aynı zamanda çalışma sonuçlarına göre yenilenebilir enerji kaynaklarının kullanım oranı ile sera gazı ve karbondioksit emisyonları arasında negatif ve anlamlı bir ilişki tespit edilmiştir.
Göç ve Kalkınma İlişkisine Yönelik Bir İnceleme: Web of Science Veri Tabanına Dayalı Bibliyometrik Ağ Analizi
Authors: ÇELİKKAYA Süha , ATİLA Muhammet
Published: December 2020

Çalışmada 1980-2019 döneminde, Web of Science veritabanı üzerinden SCI, SSCI ve AHCI atıf indekslerinde bulunan ekonomi ve sosyoloji alanlarındaki göç ve kalkınma kavramı ile ilgili farklı türlerdeki 1586 yayın bibliyometrik olarak incelenmiş, devamında sosyal ağ analizi ile kurum, yazar, ülke iş birlikleri haritalandırılmıştır. Çalışmada yayınların değerlendirilmesi amaçlı olarak alanda yaşanan hacimsel değişmeler ele alınırken diğer yandan da alanda meydana gelen gelişmeler, konu başlıklarında görülen eğilimler, alana en yoğun katkıyı sunan ülkeler ve kurumlar ile alanda en fazla atıf alanlar da VOSviewer programından yararlanılarak görselleştirilmiştir.Çalışmada ulaşılan sonuçlara göre atıf indekslerinde yayınlanmış olan sosyoloji ve ekonomi alanındaki göç ve kalkınma konulu çalışmaların özellikle 2006 yılından itibaren hızla artmaya başladığı görülmektedir. Bu durum son yıllarda özellikle politik olarak yoğunlaşan göç ve kalkınma konularının akademik çalışmalarda da ele alındığını göstermektedir. Alanda hazırlanan yayın sayısı zaman içinde hızla gelişirken çalışmaların menşei itibariyle de çeşitlenerek Anglo Amerikan etkiden uzaklaştığı ifade edilebilir. Bu bağlamda çalışma sayılarındaki artış, uluslararasılaşma eğiliminin yükselmesinde etkili olmuştur. Göç ve kalkınma ilişkisinin temel üç başlığı olan havaleler, geri dönüş göçleri ve diaspora etkisi gerek çalışma konusu olarak gerekse anahtar kelime iş birliğinde yer almaktadır.
The Noncommutative Geometry of the Landau Hamiltonian: Metric Aspects
Authors:   Pontificia Universidad Cat&, De Nittis Giuseppe ,   #243,   lica de Chile, Chile, Sandoval Maximiliano ,   Pontificia Universidad Católica de Chile, Chile
Published: December 2020

This work provides a first step towards the construction of a noncommutative geometry for the quantum Hall effect in the continuum. Taking inspiration from the ideas developed by Bellissard during the 80's we build a spectral triple for the C∗-algebra of continuous magnetic operators based on a Dirac operator with compact resolvent. The metric aspects of this spectral triple are studied, and an important piece of Bellissard's theory (the so-called first Connes' formula) is proved.
Constraining the Halo Mass of Damped Lyα Absorption Systems (DLAs) at z = 2–3.5 Using the Quasar-CMB Lensing Cross-correlation
Authors: Lin Xiaojing , Cai Zheng , Li Yin , Krolewski Alex , Ferraro Simone
Published: December 2020

We study the cross-correlation of damped Lyα systems (DLAs) and their background quasars, using the most updated DLA catalog and the Planck 2018 CMB lensing convergence field. Our measurement suggests that the DLA bias

is smaller than 3.1, corresponding to

at a confidence of 90%. These constraints are broadly consistent with Alonso et al. and previous measurements by cross-correlation between DLAs and the Lyα forest (e.g., Font-Ribera et al.; Prez-Rfols et al.). Further, our results demonstrate the potential of obtaining a more precise measurement of the halo mass of the high-redshift sources using next generation CMB experiments with a higher angular resolution. The python-based codes and data products of our analysis are available at https://github.com/LittleLin1999/CMB-lensingxDLA.
A Comparison of Stellar Kinematics Derived from Two Gemini NIFS Reduction Pipelines
Authors: Merrell Katie A. , Bentz Misty C. , Walsh Jonelle L.
Published: December 2020

The Gemini Near-infrared Integral Field Spectrograph (NIFS) reduction pipeline is widely used to reduce NIFS data. However, there are critical known limitations. A new NIFS reduction pipeline has recently been developed and solves several of these problems. We present a comparison of stellar kinematics derived from the new and old data reduction pipelines, as well as recommendations for optimal NIFS data reduction.
Calibrated Full-frame Images for the TESS Quick Look Pipeline
Authors: Fausnaugh Michael M. , Burke Christopher J. , Ricker George R. , Vanderspek Roland
Published: December 2020

We describe calibrated TESS images that serve as the input to the MIT Quick Look Pipeline, which we are releasing as a High Level Science Product (HLSP). We also outline the python package tica, which we use to fully calibrate the raw pixels and apply astrometric registration in the form of World Coordinate Solutions. This HLSP could serve as a means for delivering calibrated Full Frame Images to the public promptly after downlink from the spacecraft, which occurs every two weeks. This capability would potentially enable new science investigations with TESS data such as fast follow-up of transient sources and determination of new solar system object ephemerides.
La Orquesta Nacional de España en la transición democrática (1975-82): el cambio en las políticas musicales oficiales
Authors: Solís Toya
Published: December 2020

El estudio de la Orquesta Nacional de España en la Transición (1975-82) arroja luz sobre los discursos que se estaban configurando en torno a la democracia. El hecho de ser el conjunto más mimado por el Estado invita a profundizar en las políticas musicales del momento, aún muy lastradas por la inercia triunfalista heredada del franquismo. A partir de 1977 se sucedieron algunos cambios significativos (la creación de la Dirección General de Música con Jesús Aguirre, la conversión de la ONE en Organismo Autónomo y la publicación del Reglamento en 1982) que condujeron a una gestión más inclusiva desde la perspectiva sociológica y en función del repertorio contemporáneo español programado, aunque el análisis feminista limita este avance. El cruce de materiales inéditos —extraídos del Archivo General de la Administración— con la prensa confirma nuestra propuesta.
Understanding the Brand Management and Rebranding Processes in Specific Contexts of Medical Tourism
Authors: Alves Gisela Maria , Sousa Bruno Barbosa , Belino Maria
Published: December 2020

With this chapter, the authors intend to understand the importance of brand management (specifically rebranding) in specific contexts of medical tourism and health and wellness. The case study will include an example of the medical tourism segment in Portugal. This research is particularly relevant for Portugal because it is necessary to ensure the sustainability of the health system, as health expenditures are mostly publicly funded. Models and best rebranding practices will be studied in the health and wellness sector in Portugal (e.g., medical tourism). The chapter starts with a conceptual framework based on branding and rebranding models. From this theoretical base, the concepts and models are derived. This study aims at discussing brand management in healthcare management and medical tourism contexts. From an interdisciplinary perspective, this research brings together inputs from relationship marketing, medical tourism, and healthcare management (service excellence).
Big Data Analytics in Cloud Platform
Authors: S. Sathishkumar , R. Devi Priya , K. Karthika
Published: December 2020

Big data computing in clouds is a new paradigm for next-generation analytics development. It enables large-scale data organizations to share and explore large quantities of ever-increasing data types using cloud computing technology as a back-end. Knowledge exploration and decision-making from this rapidly increasing volume of data encourage data organization, access, and timely processing, an evolving trend known as big data computing. This modern paradigm incorporates large-scale computing, new data-intensive techniques, and mathematical models to create data analytics for intrinsic information extraction. Cloud computing emerged as a service-oriented computing model to deliver infrastructure, platform, and applications as services from the providers to the consumers meeting the QoS parameters by enabling the archival and processing of large volumes of rapidly growing data faster economy models.
Industrial Internet of Things 4.0
Authors: D. B. Vishwas , M. Gowtham , H. L. Gururaj , Goundar Sam
Published: December 2020

In the era of mechanical digitalization, organizations are progressively putting resources into apparatuses and arrangements that permit their procedures, machines, workers, and even the products themselves to be incorporated into a solitary coordinated system for information assortment, information examination, the assessment of organization advancement, and execution improvement. This chapter presents a reference guide and review for propelling an Industry 4.0 venture from plan to execution, according to base on the economic and scientific policy of European parliament, applying increasingly effective creation forms, and accomplishing better profitability and economies of scale may likewise bring about expanded financial manageability. This chapter present the contextual analysis of a few Industry 4.0 applications. Authors give suggestions coordinating the progression of Industry 4.0. This section briefly portrays the advancement of IIoT 4.0. The change of ubiquitous computing through the internet of things has numerous difficulties related with it.
Blockchain-Enabled Decentralized Reliable Smart Industrial Internet of Things (BCIIoT)
Authors: Dhasarathan Chandramohan , M. Shanmugam , Khapre Shailesh Pancham , Shukla Alok Kumar , Shankar Achyut
Published: December 2020

The development of wireless communication in the information technological era, collecting data, and transfering it from unmanned systems or devices could be monitored by any application while it is online. Direct and aliveness of countless wireless devices in a cluster of the medium could legitimate unwanted users to interrupt easily in an information flow. It would lead to data loss and security breach. Many traditional algorithms are effectively contributed to the support of cryptography-based encryption to ensure the user's data security. IoT devices with limited transmission power constraints have to communicate with the base station, and the data collected from the zones would need optimal transmission power. There is a need for a machine learning-based algorithm or optimization algorithm to maximize data transfer in a secure and safe transmission.
Implication of Predictive Maintenance for Industrial Marketing
Authors: Ray Subhasis
Published: December 2020

This chapter discusses the implication of predictive maintenance (PM) for industrial marketing companies. Using an illustrative case study from the Indian industrial air compressor market, it shows that predictive maintenance solutions will change the way of conventional sales and marketing. Sellers need to focus on early innovation adopters among its customers. They also need to engage with existing customers early on in the purchase process and highlight how PM can reduce the total cost of ownership. PM can be sold effectively to different types of customers- transactional, value-oriented, and collaborative. Industrial marketers have to position the solution appropriately to gain competitive advantage.
Implementation and Evaluation of Team-Based Learning in a Pharmacy Law and Ethics Module
Authors: Guerreiro Mara Pereira
Published: December 2020

Team-based learning (TBL) is an active learning strategy based on sequential stages: individual advanced preparation, readiness assurance process, and team application. When adopting this instructional strategy, planning entails consideration about organizing contents, securing the right infrastructure, forming groups, and grading students' work. The first class should be used to cover key aspects, such as explaining how TBL works and why it is being used. Facilitating TBL classes demands communication and organizational skills, in addition to content-expertise. TBL was implemented in a pharmacy law and ethics module. The perspectives of students collected through surveys were overall favorable. These perspectives, together with other favorable indicators, led to TBL maintenance until the current days.
Clinical Research and Regulatory Affairs
Authors: Herdeiro Maria Teresa , Gouveia Nélia , Roque Fátima
Published: December 2020

Clinical research is a large umbrella, and it mainly includes the implementation of clinical studies/trials. This field is crucial to assess the value of new developments in healthcare, be it new therapeutic interventions, medical devices, or systems of care. In order to protect human rights, the implementation of clinical trials is complex and extremely costly. In this context, medicines and medical devices are strongly regulated products before and after the market authorization. So during their training, pharmacists must develop skills in the area of regulatory affairs, design and methodology of clinical trials, and other clinical studies, as well as in the management of clinical projects to be prepared for the challenges of the clinical research and market access processes. With that purpose, knowledge and skills for clinical research should be developed in association with regulatory affairs.
Open Innovation in SMEs
Authors: Rahman Hakikur
Published: December 2020

Despite the increased acceptance by corporate business houses around the globe, the adaptation of strategies and concepts belonging to the newly evolved dimension of entrepreneurships, the open innovation (OI), countries in the East, West, or South are yet to adapt appropriate strategies in their business practices, especially in order to reach out to the grass roots and marginal communities. By far, firms belonging to the small and medium sized enterprises (SMEs) sector, irrespective of their numbers and contributions towards their national economies, are lagging behind in accepting open innovation strategies for their business improvements. While talking about this newly emerged business dimension, it comprises of complex and dynamically developed concepts like, management of intellectual property aspects, administration of patents, copyright and trademark issues, or supervision of market trend for minute details related to knowledge attainment.
Statistical Characteristics of Optical Signals and Images in Machine Vision Systems
Authors: Strelkova Tatyana A. , Lytyuga Alexander P. , Kalmykov Alexander S.
Published: December 2020

The chapter is devoted to the creation of a comprehensive approach to the physical and mathematical description of signals in optoelectronics in machine vision, taking into account the phenomena of interaction of optical radiation with system elements. A new methodology for the study of the statistical properties of input and output signals in optoelectronic systems is proposed, taking into account the availability of grouped statistical properties that do not obey the Poisson statistics. The basis is the joint use of wave and corpuscular description of signals in systems, stochastic flow theories, and elements of statistical detection theory. Information and energetic technology have been developed that integrates the theoretical justification of signal description under various observation conditions and decision-making methods.
The Effects of Technology Integration in the Classroom for Students With ADHD
Authors: Kojayan Aleen , Statti Aubrey L. C. , Torres Kelly M.
Published: December 2020

This qualitative case study investigated the influence of technology integration in a special education classroom for students who have ADHD. Technology has shown to have a positive influence on student academic, social, and emotional growth in a general education classroom. This study sought to understand the influence technology has for students struggling with ADHD. This study aimed to understand if technology can play a role in the development of students with ADHD specifically in the domains of academic and social growth. Through observations, interviews, and focus group sessions, six themes were deduced: importance of consistency in using technology, impact of group size, increased interest, increased independence, task initiation/time efficiency using Chromebook, and overall confidence academically and socially.
Privacy Concern and Likelihood of Paying a Privacy Fee
Authors: Eveleth Daniel M. , Baker-Eveleth Lori , Pendegraft Norman M. , Rounds Mark M.
Published: December 2020

This research examined the extent to which social-media users' privacy concerns affected the likelihood that they would pay a fee in exchange for a social-media company promising not to use or sell that user's data. Data to empirically test the theoretical model were collected by administering a survey to social-media users. The sample consisted of 173 usable responses. The results of the analyses, including the structural model show that users' knowledge of privacy issues, personal experience with invasions of privacy, and their levels of risk intolerance, influenced the likelihood that they would pay a privacy fee, indirectly, through their concern for privacy. Furthermore, concern for privacy had a significant, positive effect on the magnitude of an expected privacy fee.
Sustainability Innovation Enabled by Digital Entrepreneurship in Franchise Organizations
Authors: Chen Ye-Sho
Published: December 2020

In responding to United Nations' Sustainable Development Goals, using digital entrepreneurship to replicate proven sustainability innovation is an effective approach to scaling up the franchise systems to achieve the goals. The authors show a platform of sustainability innovation enabled by digital entrepreneurship in nurturing a trusted franchisor-franchisee relationship to grow the franchise system. The platform is a digital nervous system consisting of technology networks, social networks, value networks, and responsive networks. The platform is grounded in synergistically integrating the digital capability of developing and disseminating working knowledge globally and effective entrepreneurial solutions locally. Sustainability innovation through such a methodology is a win-win approach to both franchisor and franchisees. An exemplar illustration of how franchise systems help in the fight against COVID-19 is included.
Performance Assessment of R&D-Intensive Manufacturing Companies on Dynamic Capabilities
Authors: Darvizeh Mohammadyasser , Yang Jian-Bo , Eldridge Stephen
Published: December 2020

In today's business landscape, improving competitive advantage of manufacturing companies depends on their continuous performance improvement. This necessitates a generic and multi-dimensional view that organisational and managerial processes should be assessed by the underlying micro-foundation of dynamic capabilities (DC) in conjunction with enhanced new product development (NPD) projects. This study aims to propose an operationalised model of the conceptual DC framework including sensing, seizing, and reconfiguration capacities. The advantage of the two aforementioned models, which are based on a multi-criteria decision analysis (MCDA) framework, is that they can assist managers in the automotive industry to identify improvement plans and goals for sound and robust decision making. For this purpose, the evidential reasoning (ER) approach, which is realised in the intelligent decision system (IDS) software tool, is employed to perform performance self-assessment for the selected manufacturing companies on DC. This study provides managers with a useful tool to assess their company's strengths and weaknesses in regard to the DC components.
Information Visualization Using Clustering and Predictive Model
Authors: Chattopadhyay Manojit , Pal Debdatta
Published: December 2020

This paper aims to reveal the impact of rainfall on tea export from India, an issue that remained unexplored in the existing literature. This study explores a new model to predict India's tea export more accurately that would be helpful for Indian tea planters and exporters to plan their production as well as the inventory holding for deriving maximum value from tea export. A two-stage modelling approach has been developed. Firstly, an artificial intelligence-based growing hierarchical self-organising map algorithm is employed on the monthly time series of monthly frequency spreading over April 2005 to December 2013 to segregate India's monthly tea export data series into visual clusters of recognized pattern. Further, a predictive model using support vector machine has been developed and applied to forecast the tea export and then the importance of the predictor variables of the tea export have been identified. Finally, using the appropriate measures of performance a comparative analysis has been performed for each of the model. The newness of the study pertains to the two facts revealed from the study: firstly, India's tea export is embedded of complexity and nonlinearity, which could receive a successful clustering through growing hierarchical self organizing map that would make a deeper analysis easier with a further application of rich statistical techniques. Secondly, the analysis of prediction errors and the relative importance of the predictor variables establish rainfall as one of the most significant variable in predicting India's tea export, insight that has never surfaced in the literature developed thus far.
Dynamic Capabilities and New Product Development Performance
Authors: Darvizeh Mohammadyasser , Yang Jian-Bo
Published: December 2020

The paper aims to propose a structured multi-dimensional framework linking higher organisational capabilities such as dynamic capabilities (DC) and new product development (NPD) performance as a means by which the sustainable competitive advantage can be realised. The study lends support to supply chains that enable the firms to generate an economic surplus into the future. For this purpose, this study examines the complex inter-relationships between DC and performance in NPD using a multiple-criteria decision analysis (MCDA) approach using automotive industry data. The components of the DC model including the three capacities of sensing, seizing, and reconfiguration have been operationalised in cases featuring extensive supplier involvement in NPD projects. The findings of the study highlight that superior NPD performance including effectiveness, efficiency, and product content can be explained well by identifying and evaluating the effects of the organizational and managerial processes underlying the micro-foundations of DC.
Implementation of Recurrent Network for Emotion Recognition of Twitter Data
Authors: Anu Kiruthika M.  , Gladston Angelin
Published: December 2020

A new generation of emoticons, called emojis, is being largely used for both mobile and social media communications. Emojis are considered a graphic expression of emotions, and users have been widely used to express their emotions in social media. Emojis are graphic unicode symbols used to express perceptions, views, and ideas as a shorthand. Unlike the small number of well-known emoticons carrying clear emotional content, hundreds of emojis are being used in different social networks. The task of emoji emotion recognition is to predict the original emoji in a tweet. Recurrent neural network is used for building emoji emotion recognition system. Glove is a word-embedding method used for obtaining vector representation of words and are used for training the recurrent neural network. This is achieved by mapping words into a meaningful space where the distance between words is related to semantic similarity. Based on the word embedding in the Twitter dataset, recurrent neural network builds the model and finally predicts the emoji associated with the tweets with an accuracy of 83%.
The Effects of Social Learning and Internet Ethics of College Students Engaging in Cyberbullying Behavior in Taiwan
Authors: Yang Hui-Ling , Wu Wei-Pang
Published: December 2020

Cyberbullying is a major problem among our school-age population. The growing number of studies suggests that cyberbullying can often cause serious academic, emotional, social, and safety issues for its peer victims. The purpose of current study is to examine the nature of respondents' experience of cyberbullying and determine independently the impact of social learning and internet ethics on cyberbullying behavior among college students in Taiwan. The preliminary analysis is of a survey data collected from 359 undergraduate students in south of Taiwan through convenient sampling. The results of this study provide support for the hypotheses and explore the effect of social learning and perception of internet ethics on cyberbullying behavior among college students. Finding suggests that college students with lower level of social learning and with higher level of internet ethics will have less cyberbullying behavior than those with higher social learning and lower internet ethics.
Design, Fabrication and Evaluation of Solar and Biomass Hybrid Dryer with Trackable Solar Collector
Authors: Kumarasiriwardhana C. A. , Kahandage P. D. , Weerasooriya G. V. T. V.
Published: December 2020

Newly constructed solar and biomass hybrid dryer consists of solar collector with solar tracking option, biomass backup heater and a drying chamber. The absorber of the trackable solar collector was made of black painted corrugated GI sheet and clear glass for the top. Saw dust was used as the fuel for the biomass burner. The drying chamber was built of plywood and insulated by aluminium foil. The performance was evaluated using five drying treatments with three replicates; namely, only with solar power (T1), solar power with tracking (T2), only with biomass (T3), with hybrid mode (T4), and direct sun drying (T5; Control). Invented hybrid dryer reduced the initial moisture content of Musa spp. (banana), Artocarpus heterophyllus (jackfruit) and Pleurotus ostreatus (oyster mushroom) from 80%, 74% and 90% to 12%, 12% and 10%, respectively. Under no-load condition, the average temperature of drying chamber reached to 45.040C with solar drying and 55.650C with solar tracking option, while the ambient temperature was 33.520C. The solar collector efficiency obtained from the no-load test was 34.07%. Results revealed that the dryer can reduce the high initial moisture contents up to a safe storage moisture content within a day. With the support of the backup heater, the dryer can be used even under the inadequate solar radiation. Improper drying chamber insulation was observed as a limitation.
Propuesta teórico-metodológica para analizar las representaciones sobre migrantes y nacionales
Authors: Kleidermacher Gisele , González Anahí
Published: December 2020

El presente trabajo tiene como objetivo presentar el análisis realizado respecto a las representaciones sociales de encuestados/as nacidos/as y residentes en la Ciudad Autónoma de Buenos Aires acerca de la identidad nacional argentina y sobre la población de origen paraguayo y boliviano que reside en la Ciudad Autónoma de Buenos Aires. Para dicho propósito, se seleccionaron, en el marco de un cuestionario estructurado aplicado a 400 casos, tres preguntas de carácter abierto. Como parte del presente escrito, se presenta una reflexión respecto al cierre de las mismas, que consta de un proceso de construcción de categorías conceptuales, conformadas a partir del proceso de codificación abierto y axial siguiendo la teoría fundamentada. Entre los principales hallazgos, encontramos que los migrantes, tanto paraguayos como bolivianos, son representados desde una lógica economicista e instrumental, mientras que la identidad nacional, construida en oposición a la “otredad” migrante, se compone de elementos tomados del pasado y del futuro, que actúan como aglutinadores de una identidad simbólica.
Metodologías participativas en la construcción de políticas públicas migratorias en la frontera colombiana
Authors: Mojica Acevedo Eliana , Aliaga Sáez Felipe , Espinel Rubio Gladys
Published: December 2020

En este artículo se aborda una experiencia de construcción de conocimiento conjunto entre la academia y el Estado en torno a la política pública migratoria en Colombia requerida para dar respuesta a la inmigración venezolana. Presenta el procedimiento metodológico del Primer Encuentro Nacional de Departamentos de Fronteras (ENALDEF), elaborado por la Red de Investigación en Asuntos de Frontera (RIAF). Los métodos utilizados en ENALDEF fueron la cartografía social, la aplicación de una matriz FODA, los grupos focales y el mapeo de políticas y programas, que se configuraron como escenarios participativos y flexibles. La frontera es concebida como un lugar en donde la participación ciudadana contribuye a la generación de una visión binacional y un imaginario cargado de elementos únicos que requieren de la atención diferencial del Estado y de la academia, dada su histórica tendencia a la precarización.
Covid-pandemia: Learning from mistakes during the pandemic?
Authors: Bellone Andrea
Published: December 2020

Hospitals managing the pandemic more successfully were the ones which started working on it ahead of times: so, let’s look back at it. Those who acted early, differentiating routes within the Emergency Department (EDpt), creating different areas with varying intensity of care (...)
The usefulness of point-of-care ultrasound in the atypical presentation of aortic dissection: a case series and brief review of literature
Authors: Cioni Gabriele
Published: December 2020

Acute aortic dissection represents a surgical emergency that, in most cases, may present an atypical and non-specific clinic, making the diagnosis difficult and late. Computed tomography angiography represents the gold standard for diagnosis, but different ultrasound techniques can provide valuable additional information related to diagnosis and optimize therapy and prognostic assessment. In this case series, we describe different atypical patterns of aortic dissection associated with non-diagnostic DDimer levels. These atypical conditions escape recognized diagnostic algorithms for diagnosing aortic dissection, although the incidence of such events is far from negligible. A clinical approach in the emergency setting that provides for systematic and standardized use of bedside ultrasound could help reduce the incidence of errors and diagnostic delay, addressing the gold standard instrumental diagnostics for the reference pathology.
Potential pharmacological approach in the regulation of angiotensin-II conversion enzyme and dipeptidyl-peptidase 4 in diabetic COVID-19 patients
Authors: Ferrara Francesco , Vitiello Antonio
Published: December 2020

The global pandemic caused by coronavirus disease 2019 (COVID-19) has caused more than 1 million deaths worldwide. Some vaccines in clinical trials have reached stage 3. In the meantime, the understanding of biological and pathophysiological mechanisms of severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) infection is still unclear, such as the role that angiotensin-II conversion enzyme (ACE-2) and dipeptidyl-peptidase 4 (DPP-IV) may play in patients with diabetes related to COVID-19. The individual with diabetes is a known COVID-19 risk patient. Probably, the pharmacological regulation of the angiotensin renin system and ACE-2 on the one hand, and of the incretin system and DPP-IV on the other hand, could represent a therapeutic route of fundamental importance to reduce the risk of SARS-CoV-2 infection or of severe complications caused by infection.
Physical factors at salt licks influenced the frequency of wildlife visitation in the Malaysian tropical rainforest
Authors: Razali Nor Bazilah , Shafie Muhammad Syafiq Haiqal , Mohd Jobran Rahaniza Ali , Abdul Karim Nur Hayati , Khamis Shamsul , Mohd-Taib Farah Shafawati , Md Nor Shukor , Ngadi Ehwan , Atiqah Razali Siti Hajar , Husin Shahril Mod , Redza Hussein Mohamed Shah
Published: December 2020

Mineral reservoirs or salt licks are commonly used by wildlife to regulate the concentration of salt and minerals in their bodies. Salt lick utilisation is known to be influenced by the chemical composition, but information on their physical properties, particularly vegetation surrounding the salt licks is scarce. In this study, physical factors and wildlife utilisation at two natural salt licks (SPU and SPS) located in Perak, Malaysia, were determined. Wildlife visitation data were retrieved from camera traps. SPU exhibits two reservoirs represented by rocky and clay substrate, with minimally dense vegetation dominated by hardwood species and climbers. SPS encompasses muddy topsoil, open canopy cover, with highly dense forest floor vegetation. The wildlife survey shows a higher frequency of visitation in SPS, especially by ungulates, potentially due to dense understorey foliage that provides foraging sites for these animals. SPU exhibits more diverse but less frequent wildlife species, particularly primates, carnivores, and avian groups. High emergence and closed canopy cover at this lick serve as perching sites for primates and birds, while less dense understory vegetation could aid in prey detection among carnivore. Regardless of their physical assemblages, salt licks are an essential local hotspot for wildlife, therefore, elucidating the need to prioritise conservation areas by maximising the complementarities of salt licks.
The potential neuroprotective roles of olive leaf extract in an epilepsy rat model induced by kainic acid
Authors: Khamse Safoura , Haftcheshmeh Saeed Mohammadian , Sadr Seyed Shahabeddin , Roghani Mehrdad , Kamalinejad Mohammad , Moghaddam Parvane Mohseni , Golchoobian Ravieh , Ebrahimi Fatemeh
Published: December 2020

Background and purpose:

Epilepsy is recognized as a chronic neurologic disease. Increasing evidence has addressed the antioxidant and anti-inflammatory roles of olive leaf extract (OLE) in neurodegenerative diseases. So, the current study aimed to investigate the neuroprotective roles of OLE in epilepsy.

Experimental approach:

Forty rats were divided into 4 groups including a control group, sham group, kainic acid (KA) group, and KA + OLE group. KA (4 μg/rat) was injected intrahippocampal, and OLE (300 mg/kg) was orally administrated for 4 weeks. Animals were sacrificed, and their hippocampi were isolated. KA- induced seizure activity was recorded. Oxidative stress index was assessed by measuring its indicators including malondialdehyde (MDA), nitrite, nitrate, and glutathione (GSH) as well as the catalase (CAT) activity. The supernatant concentration of tumor necrosis factor-α (TNF-α) and the apoptosis rate in neurons were measured.

Findings/Results:

Treatment with OLE significantly reduced the seizure score. OLE decreased oxidative stress index by reducing the concentration of MDA, nitrite, and nitrate as well as increasing the level of GSH. OLE had a significant anti-apoptotic effect on neurons. However, CAT activity and the level of TNF-α were not affected.

Conclusion and implications:

Our findings indicated neuroprotective properties of OLE, which is mainly mediated by its antioxidant and anti-apoptotic effects, therefore, could be considered as a valuable therapeutic supplement for epilepsy.
Chitosan/tripolyphosphate nanoparticles in active and passive microchannels
Authors: Akbari Mona , Rahimi Zohreh , Rahimi Masoud
Published: December 2020

Background and purpose:

In recent years, the interest in chitosan nanoparticles has increased due to their application, especially in drug delivery. The main aim of this work was to find a suitable method for simulating pharmaceutical nanoparticles with computational fluid dynamics (CFD) modeling and use it for understanding the process of nanoparticle formation in different types of microchannels.

Experimental approach:

Active and passive microchannels were compared to find the advantages and disadvantages of each system. Twenty-eight experiments were done on microchannels to quantify the effect of 4 parameters and their interactions on the size and polydispersity index (PDI) of nanoparticles. CFD was implemented by coupling reactive kinetics and the population balance method to simulate the synthesis of chitosan/tripolyphosphate nanoparticles in the microchannel.

Findings/Results:

The passive microchannel had the best performance for nanoparticle production. The most uniform microspheres and the narrowest standard deviation (124.3 nm, PDI = 0.112) were achieved using passive microchannel. Compared to the active microchannel, the size and PDI of the nanoparticles were 28.7% and 70.5% higher for active microchannels, and 55.43% and 105.3% higher for simple microchannels, respectively. Experimental results confirmed the validity of CFD modeling. The growth and nucleation rates were determined using the reaction equation of chitosan and tripolyphosphate.

Conclusion and implications:

CFD modeling by the proposed method can play an important role in the prediction of the size and PDI of chitosan/tripolyphosphate nanoparticles in the same condition and provide a new perspective for studying the production of nanoparticles by numerical methods.