bluuebunny/crossref_metadata_2025 huggingface dataset:
Modern methods for evaluating the process of the wound process
Authors: Risman Boris V. , Zubarev Petr N.
Published: September 2021

The article presents the data of a comprehensive assessment of the course of the wound process using modern methods. The effectiveness of additional physical methods of sanitation in local treatment has been proved.
It was found that the proposed diagnostic algorithm made it possible to identify the features of the wound process, as well as the features and patterns of pathomorphological changes. The proposed clinical diagnostic algorithm can be used to assess the effectiveness of various means of local wound treatment, including physical methods of influencing the wound process (2 figs, bibliography: 11 refs).
Transjugular intrahepatic portosystemic shunting in combined treatment of a patient with decompensated liver cirrhosis and malignant neoplasm of the uterus (clinical case)
Authors: Alentyev Sergey A. , Onnicev Igor E. , Berlev Igor , Muzharovskiy Anton L.
Published: September 2021

Nowadays the treatment of patients with malignant neoplasms of the abdominal organs against the background of decompensated liver cirrhosis is largely an unsolved problem. Complications of portal hypertension syndrome such as ascites, hypersplenism, recurrent bleeding from the veins of the esophagus prevent the implementation of radical surgical treatment. Low trauma of endovascular methods of treatment, low level of complications and mortality are the main advantages of interventional techniques that make it possible to prepare a patient with portal hypertension syndrome for further radical treatment of oncological disease. The presented clinical case describes the results of a combined approach to the treatment of a patient with complications of portal hypertension syndrome and a competing disease a giant tumor of the uterus. The patient was denied in surgical treatment for the neoplasm due to the presence of decompensated cirrhosis. Liver transplantation is not possible due to the presence of cancer. Transjugular intrahepatic portosystemic shunting led to relief of diuretic-resistant ascites, regression of the degree of esophageal varicose veins, which made it possible to remove the tumor with extirpation of the uterus with appendages. Up to now the observation period for the patient is more than 12 years (4 figs, bibliography: 7 refs).
The role of infectious and seasonal factors in the development of myocardial infarction in men under 60 years old
Authors: Gordienko Aleksandr V. , Sotnikov Aleksey V. , Nosovich Dmitriy V.
Published: September 2021

The influence of seasonal and infectious factors on the risk of an unfavorable outcome in the first 56 days of myocardial infarction, a complicated course of the disease, the development of chronic heart failure of the second functional class and higher during this period was studied. The results of examination and treatment of 556 men 1960 years old with verified type I myocardial infarction were evaluated. The analysis of the risks of an unfavorable outcome, a complicated course of the disease, and the development of chronic heart failure was carried out by the method of multivariate analysis of variance. Chronic foci of infections of the abdominal cavity and kidneys, myocardial infarction in winter, spring and autumn have a moderate negative effect on the prognosis of the disease in the examined. Predictors of unfavorable prognosis are heterogeneous across the seasons. Frequent respiratory infections and chronic inflammatory lung diseases reduce the risk of death in those examined in the first months of myocardial infarction, however, they significantly increase the risk of developing chronic heart failure (bibl.: 19 refs).
Domestic devices for molecular genetic analysis: developments of the IAP RAS and SINTOL LLC
Authors: Kurochkin Vladimir E. , Alekseev Yakov I. , Petrov Dmitriy G. , Evstrapov Anatoliy A.
Published: September 2021

The set of domestic devices and reagent kits for molecular genetic analysis has been developed, which provides for all stages of the study, from the automated isolation of nucleic acids, their amplification with real-time detection to classical and genome-wide DNA sequencing. With the help of the created equipment and reagent kits, approaches for the specific indication of pathogens of a wide range of diseases have been successfully implemented. The high efficiency of the proposed approaches is shown by the example of detecting and analyzing the RNA of the pathogen SARS-CoV-2 in the fight against the COVID-19 coronavirus pandemic (7 figs, bibliography: 4 refs).
Estimación de parámetros de un modelo de maniobra no lineal de un vehículo subacuático teleoperado mediante ensayos en canal
Authors: Revestido Herrero Elías , Llata García José Ramón , Velasco González Francisco Jesús , Sainz Gutiérrez José Joaquín , Díaz Torrijos Patricia
Published: September 2021

En este trabajo, se aplican técnicas de inferencia indirecta para la estimación de parámetros de un modelo de maniobra no lineal de un vehículo subacuático teleoperado (ROV). Para ello, se dispone de datos de diferentes ensayos, que se llevaron a cabo con el citado ROV en las instalaciones del Canal de Experiencias Hidrodinámicas del Pardo CEHIPAR, Madrid. El modelo obtenido se valida mediante métodos gráficos y estadísticos y las propiedades estadísticas de los parámetros estimados se evalúan mediante un estudio de Monte Carlo.
Comparación de modelos de propagación de ondas de radio de un canal inalámbrico en el área urbana de la ciudad de Barranquilla
Authors: Barrios Ulloa Alexis Roberto
Published: September 2021

Tres modelos de propagación empíricos fueron comparados: Cost 231 Hata, Walfisch Ikegami (WI) e Interino de la Universidad de Stanford (SUI); para determinar su efectividad en un entorno urbano. Se hicieron mediciones en la banda de los 1900 MHz en un sector de la ciudad de Barranquilla, Colombia; y la evaluación se hizo mediante comparación de valores de error de predicción y relativo de cada modelo con respecto a las mediciones. Los resultados muestran que el modelo WI presentó el menor error relativo en comparación con el Cost 231 Hata y SUI tipo B. Los niveles altos de error indican que los modelos comparados no representan adecuadamente las mediciones en el escenario considerado.
Iğdır İl’inde Organik Gıda Bilgi Düzeyinin Belirlenmesi
Authors: KADİRHANOĞULLARI İbrahim Hakkı , KONU KADİRHANOĞULLARI Meryem , KARA Mehmet Kazım , KUMLAY Ahmet
Published: September 2021

Bu çalışmanın amacı, Iğdır İli’nde tüketicilerin organik gıda bilgi düzeyini belirlemektir. Veri Madenciliği Karar Ağacı yönteminden Ki-kare otomatik etkileşim detektörü (CHAID) algoritması kullanılan çalışmanın verileri Basit Tesadüfi Örnekleme Yöntemi ’ne göre 165 tüketiciden elde edilmiştir. Özgüllük (specificity) değeri 88.6 olarak bulunmuştur. Çalışmanın sonucunda organik gıda bilgi düzeyleri tüketicilerin demografik özelliklerine göre değişim göstermektedir. Iğdır İli’nde evli olan bireylerin bekârlara oranla daha bilgili olduklarını ifade ettikleri görülmüştür. Evli olan bireylerde eğitim durumu ve hanedeki birey sayısı artıkça bilgi düzeylerinin de artığı görülmektedir. Katılımcıların büyük kısmı organik ürünlerin fiyatlarını uygun bulmadığını, sertifikalı olmasına dikkat edildiğini, gıda üretimi ve satışı yapan firmalara yeterince güvenilmediğini, organik gıda çeşitliliğinin yeterli bulunmadığını, gıdaların marketlerde genetiği değiştirilmiş organizma (GDO), hormonlu ya da organik diye ayrılmasını ve farklı fiyatlandırma yapılmasını istediklerini belirtmişlerdir. Aynı zamanda organik gıda ürünleri için ne kadar fazla fiyat ödemeye razı olursunuz araştırma sorusu için katılımcıların büyük kısmı %10 daha fazla fiyat ödemeye razı olduklarını ifade etmişlerdir. Organik gıda satın alma sıklığı araştırma sorusu için tüketicilerin çoğu ‘haftada bir kaç kere’ şeklinde belirtmişlerdir.
A Systematic Literature Review of Gameful Feedback in Computer Science Education
Authors:   the Information Systems Institute, University Leipzig, Leipzig, Germany, Willert Nico
Published: September 2021

For the past decade, video game- and gamification-elements get used in different fields of research. However, a contextualized usage of these elements is still underrepresented in the current research. For that reason, this research tries to identify contextualized game-elements in e-learning environments for computer science education. A systematic literature review examines the current overlap of feedback in computer science education by the use of game-elements. The relevant papers were identified by a combination of search-terms and analyzed according to a defined scope, that focuses on formative and summative feedback. In a nutshell, the majority of provided feedback in computer science education, that is not just given by an instructor, is often implemented by automated code tests. These are supported through techniques to monitor the performance of the student and their progress towards the set goal. Game- or gamification-elements do play a subordinate role, when providing feedback and are often just to enhance the monitoring process.
Development of a Constructivist and Connectivist Learning Model for Undergraduates Involving Cloud Technology in Order to Promote the Creation of Innovative Education
Authors:   Faculty of Science and Technology, Phetchaburi Rajabhat University, Thailand, Jirasatjanukul Kanokrat , Pakprod Nuttakan , Khammungkul Julaporn
Published: September 2021

The objectives of this research are as follows: 1) to analyze the constructivist and connectivist framework involving cloud technology; 2) to develop a constructivist and connectivist learning model involving cloud technology; and 3) to evaluate the constructivist and connectivist learning model involving cloud technology for undergraduates as a means of promoting innovative education. The samples consisted of 7 experts in the design of learning models and in the use of information technology and communications who were chosen by purposive sampling and who had at least 5 years’ relevant experience. The data were analyzed by mean and standard deviation. The evaluation results revealed that the constructivist and connectivist learning model involving cloud technology for undergraduates as a means of promoting innovative education was at the highest level of overall feasibility (x = 4.68, S.D. = 0.47). The implication of this study points out the feasibility of learning model to allow promotion of learning environment to encourage educational innovation and the development of innovation skills on the part of the students.
Leadership Competency for Megaproject‘s Complexity Management: A Conceptual Study
Authors:   the Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia, Damayanti R. W. , Hartono B. , Wijaya A. R.
Published: September 2021

This study aims to formulate a project manager’s leadership competency to manage megaproject’s complexity. Through qualitative literature exploration, this study integrates seven organizational leadership theories to develop megaproject leadership competency. Technical, emotional social and adaptive competencies are proposed as components of megaproject leadership competency that are crucial for managing structural, social, and emergent complexity. This study contributes to scholarship by giving insight into the leadership theories that potentially expanded the megaproject realm. For the practitioners, among others the project manager, this study gives a description of competencies that could be considered for managing megaproject complexity.
PhTAD-Substituted Dihydropyrrole Compounds Regulate Apoptotic Cell Death in MCF-7 Cells
Authors: YAZGAN Burak , MESCİ Seda , AKSAHIN Masuk , AYAR Arif , GÜL Melek , YILDIRIM Tuba
Published: September 2021

Breast cancer is the most common type of cancer amongst women. Apoptosis is known as a programmed cell death and this mechanism induces cancer cell death. Dihydropyrrole compounds contain a heterocyclic structure and these molecules have many biological effects including functioning as antioxidants and anticancer molecules.
In this regard, the aim of this research was to investigate how PhTAD-substituted dihydropyrrole compounds affect the expression of apoptotic cell death proteins in the MCF-7 cells. The levels of Bax, Bcl-2, and cleaved caspase-3 proteins in the MCF-7 cells were measured using the ELISA method.
The results revealed that CI, CII, CIII, CV, CVII, CVIII, CXI and CXII increased Bax, while CXIII and CXIV markedly decreased Bax. In addition, compounds CI, CII, CIII, CVII, CVIII, CXI and CXII upregulated Bcl2. Conversely, CIV, and CXIV downregulated Bcl2. Moreover, CIV and CXIV increased the Bax/Bcl2 ratio. However, CVIII and CXIII decreased Bax/Bcl2 ratio. In addition, CI, CIV, CIX and CXII treatment increased cleaved caspase-3 in MCF-7 cells compared to the negative control. These findings indicate that the PhTAD-substituted dihydropyrrole derivative molecules induced apoptotic proteins as a potential regulator of cancer cell death.
A Theoretical Study on the Production Cross–Section Calculations for 24Na Medical Isotope
Authors: GÜLÜMSER Tuğçe , KAPLAN Abdullah
Published: September 2021

24Na is a beta and gamma emitting radioisotope that is widely used in medical and engineering fields. It is often used in medical radiotracing. This radioisotope with a half-life of 15 hours is mostly produced in cyclotrons. The cross-section of a radioisotope is used to obtain various data about the production of that radioisotope. In cases where it is not possible to obtain experimental data, missing data can be completed with cross-section calculations and the obtained data can be compared with experimental, saving time, cost and effort. This study was carried out for detailed analysis of cross-section calculations for 24Na isotope, which has a wide range of usage in medicine and industry. In this direction, the cross-sections obtained from different simulation programs were compared with literature data of the reactions. Production cross-sections of the 24Na isotope were investigated in the 23Na(d,p)24Na, 24Mg(n,p)24Na, 25Mg(n,n+p)24Na, 25Mg(p,2p)24Na, 26Mg(d,α)24Na and 27Al(n,α)24Na reactions with the equilibrium and pre-equilibrium models of nuclear reaction codes of TALYS 1.95 and EMPIRE 3.2. Results were compared with experimental data from the EXFOR data library. The relevance of the models to the reactions was discussed and calculations were made using the relative variance analysis method to determine the best model.
Determinants of Mudharabah Term Deposit: A Case of Indonesia Islamic Banks
Authors: Umam Fachru Nurul , Salam Annisa Nur , Rizal Achmad
Published: September 2021

The growth of Islamic finance industries in Indonesia has shown significant improvement. The increased number of surplus units depositing their funds in Islamic banks has become a significant factor in their trust and confidence in Islamic banking products. One of the products utilized by the depositor is the mudharabah deposit product, where the Islamic bank offers higher profit compared to other types of deposit or saving. This paper aims to analyze the issues in a mudharabah term deposit in the Islamic banking industry in Indonesian Islamic banks. The issues concern more on the profit and risk in the mudharabah concept that has been applied in Islamic banks and the variables that affect the changes in mudharabah deposit product. We used the sample to analyze the issues by selecting 14 Islamic banks in Indonesia from 2011-2020.  This research uses a quantitative approach with multiple linear regression analysis methods. Several variables are considered the independent variables to know the changes in the demand of mudharabah deposits in the Islamic bank, including interest rate, profit rate, number of office or branch units, and non-performing financing. Our analysis shows that the number of offices or branch units and non-performing financing positively impact the changes in demand of mudharabah deposits, while the interest rate and profit rate have a negative impact on mudharabah deposits.
Impact of the COVID-19 pandemic on healthcare workers
Authors: Prasad Versha
Published: September 2021

The coronavirus disease 2019 (COVID-19) pandemic has heavily burdened, and in many cases overwhelmed, healthcare systems including healthcare workers. The novel COVID-19 started from Wuhan in mainland China. Since then it has affected most of the nations and continents because of its rapid spread. Most commonly affected are the healthcare professionals who are working on the frontline. The COVID-19 epidemic has mushroomed globally, disrupting the existence of millions It is a generalized mental condition occurring without any trigger or stimulus. Various symptoms of depression are: anxious, sad and empty feelings, hopelessness, guilt and may be sense of helplessness, restless attitude, irritation, and lack of interest in various hobbies and activities and were once considered relax able and which are used to provide pleasure. Furthermore, healthcare workers reported mental health problems putatively associated with healthcare workers’ occupational activities during and up until years after epidemics, including symptoms of post-traumatic stress, burnout, depression and anxiety. As for lack of material, a high percentage of professionals are getting infected for not having adequate personal protection equipment (PPE) and not using it properly, having to re-use in many occasions equipment which is only recommended for one-time utilization. During work performed by healthcare workers, several pressure elements from different sources may impact on keeping optimal conditions for a healthy working environment, and because of the saturation of the sanitary facilities due to the high level of virus infection, the health of these professionals has been obviously affected. While the main focus is concentrated on laboratory testing, finding the disease cure and prevention of transmission, all individuals are undergoing a plethora of psychological problems while adjusting to current lifestyles and disease fear. In current study, an attempt has been made to find out the impact of this pandemic situation on psychological well-being of healthcare and non-healthcare workers. Our study has reported identical findings to those reported by numerous investigators working across the globe. The present paper has outlined the stressors which the frontline health care professionals have faced including fear of spreading disease to co-workers and members of the family, irregular sleep patterns, abrupt work cycles, and lack of adequate training skills in dealing with such a novel situation.
Prevalence of domestic violence and abuse among Saudi women: an online based cross-sectional study
Authors: Aldosary Ahmad Hamad
Published: September 2021

Background: Domestic violence and abuse (DVA) has a major impact on women's lives, their psychological, physical, and reproductive health and mostly occurring behind closed doors. The objective of this study was to explore the prevalence of DVA among Saudi women, to determine factors related to each type of abuse, identify sources of abuse, and level of disclosure.Methods: A cross-sectional study was conducted through an online survey using social networking platforms. Four hundred and twenty-one women completed the validated Arabic version of the NorVold domestic abuse questionnaire.Results: The lifetime prevalence of DVA was 69.9%. The most prevalent type of violence was emotional abuse, followed by physical abuse (47%), and subsequently sexual abuse (35%). Among the abused women, 25.6% (n=75) had experienced all types of abuse. Fathers, mothers, and brothers were the main perpetrators of emotional violence, while brothers, mothers, and fathers were the main perpetrators of physical abuse; relatives (not from the family) and brothers were the main perpetrators of sexual violence. Approximately 26% of the emotionally abused try to seek help, 78.7% did not disclose the abuse to their doctors, and 16.5% of the physically abused try to seek help; however, 82.2% were unable to inform their doctors after abuse, only 8.7% of sexually abused women try to get help after abuse, and 90% cannot inform their doctors.Conclusions: DVA against Saudi women is unacknowledged, and national research data are urgently required to assess the prevalence of DVA and risk factors for abused women.
Digital Technologies for Sustainable Development: Dual Challenge of Sustainability and Inclusivity Perspective
Authors: Gidigbi Matthew Oladapo
Published: September 2021

This paper is a desk-review study and considers digital technologies for sustainable development: a challenge of sustainability and inclusivity. It takes a glance at the interaction of digital technologies and sustainable development, legal challenges of sustainable development. Digital technological inclusion of populace was based on mobile phones, which equally facilitate financial inclusion and help in reducing poverty. Digital technologies have ample of expanded opportunities for businesses and economic growth. Also, digital technologies have been successfully proved to be relevant. Digital technologies have changed the way SDGs are pursued and, fortunately, accelerated SDGs attainment, especially, when it is inclusive. Sustainability and inclusivity of digital technologies should be the challenge to be bordered about maximizing the gains from its adoption in promoting sustainable development. It is recommended that governments at all levels and institutions should be responsible for the provision of more digital technological facilities and infrastructures as well as for the provision of more basic amenities that would encourage investors in the area. Governments jointly with the private individuals should be prompt in taking actions (such as reporting fault) about safety and maintenance of the physical facilities and all other social capital, while the custodians of law (mostly lawyers – learned persons) should put under their surveillance any legal challenge that promotes exclusion and remedy such through the provision of law.
Evaluación de grafeno y magnetita como membranas de intercambio de electrones en celdas de combustible microbianas con sustratos orgánicos para producir bioelectricidad
Authors: Guambo Galarza Alex
Published: September 2021

En la actualidad los desafíos más importantes del desarrollo energético, es la incorporación de fuentes renovables de energía usando diversas tecnologías, de estos sistemas incluyen diferentes alternativas como es la generación de energía a partir de biomasa. Una forma de estos sistemas de biorreactores electroquímicos catalizados por microorganismos para la generación de formas energéticas usando biomasa como sustrato son las celdas de combustible microbianas (CCMs), que de acuerdo con sus características estructurales producen bioelectricidad conforme se degrada cierto requerimiento nutricional considerado como un contaminante potencial. Sin embargo, los bajos niveles de voltaje y densidad de potencia generados por una CCM limitan su aplicabilidad a gran escala. Esta investigación tiene como objetivo evaluar el grafeno y magnetita como membranas de intercambio de electrones para mejorar la estabilidad de voltaje y eficiencia en la generación de bioelectricidad, utilizando como inóculo suelo de páramo alto andino del Cantón Colta, mediante un sistema de tres conglomerados para obtener una muestra compuesta, de la cual fueron analizadas sus características físico-químicas. El sustrato empleado fue una mezcla 50:50 de frutas (naranja: Citrus sinensis, banano: Musa acuminata L.  y manzana: Pyrus malus L.) y vegetales (arveja: Pisum sativum L., haba: Vicia faba L., zapallo: Cucurbita máxima Duchesne) en estado de descomposición; se analizó su contenido de Carbono, Nitrógeno, Hidrógeno y Azufre. La membrana de grafeno se obtuvo mediante exfoliación directa de óxido de grafito, previamente tratado en baño ultrasónico, sobre un tejido de fibra de carbono, mientras que la magnetita se sintetizó a partir de cloruro férrico y cloruro ferroso. El voltaje generado por las Celdas fue monitoreado durante quince días consecutivos, posteriormente se estimó la eficiencia de los materiales usados como membranas a través de una comparación de densidad de potencia y la degradación de su contenido. El voltaje promedio obtenido por celdas con grafeno fue 131mV, su densidad de potencia de 9,17mW/m2 y una degradación del sustrato de 8.60%  (N), 35.29%  (C), 24.49% (H) y 12,16% (S), mientras que celdas con magnetita consiguieron una degradación de 6.44% (N), 24.05% (C), 19.02% (H) y 11,35% (S) , un voltaje de 14mV y una densidad de potencia de 0,22 mW/m2 concluyendo que la membrana de grafeno tiene mayor rendimiento puesto que logró una  densidad de potencia 42 veces mayor en relación a la magnetita.
Congestion Control and Optimal Size of a Photovoltaic Device Using Multiverse Optimization Technique
Authors: Vatambeti Rajasekhar , Dhal P.K.
Published: September 2021

Congestion management plays an important role in the operation, control, and safety of the grid. This paper proposes the multiverse optimization (MVO) algorithm for the congestion management of the IEEE 30 bus system, aiming to identify line congestion, and eliminate it at the minimum congestion price (i.e., the minimum loss). The continuation power flow (CPF) mechanism is adopted to analyze the voltage stability and maximum load capacity of the grid. The MVO algorithm helps to boost the voltage with a photovoltaic (PV) device, whenever the grid became unstable. The optimal position of the device is found through six iterations, and the fitness function is found capable of maximizing loading parameters, while minimizing power loss. The new approach is evaluated under different operating conditions, namely, in the presence of an MVO-tuned PV grid, and in the absence of a PV grid. The results show that the MVO-tuned PV grid performed much better than the grid without a PV.
The Influence of Variable Density on Turbulent Wall Jet: A Numerical Comparative Study
Authors: Rabah Guenoune , Azeddine Soudani
Published: September 2021

The first objective of this numerical research is to help understand the influence of variable density on the structure of turbulence, through the study of a wall jet, and to validate our results with those of the experimental study of A. Soudani. The source of density variation is the mixture between two different non-reactive fluids, with a fixed temperature and pressure. A mass weighted averaging for different variables is applied to the calculation, using ANSYS FLUENT 15.0 commercial software. The principal experience consists of injecting tangentially and alternatively near the wall a gas (air-helium) different from the external flow, through a slot of height 3mm between two plane walls. Such a process permits to provoke an important density difference. The study reaches the conclusion that turbulence is strong, with a slight increase of velocity near the wall and an evident diminution of skin friction, in the case of light fluid injection. The second aim is to estimate the Kolmogorov and large eddies’ scales to construct LES grid to access instant variables in experience.
Experimental Investigation of Heat Transfer of Nanofluid in Elliptical and Circular Tubes
Authors: Al-Tajer Ammar M. , Kramallah Abdulhassan A. , Mohsen Ali M. , Mahmoud Nabeel Sameer
Published: September 2021

The paper presents experimental comparison of forced convection for steady state turbulent flow of nanofluid (Al2O3-distilled water) inside circular and elliptical (aspect ratio of 0.75) cross section tubes of identical circumference and tube surface area. Convection coefficient, pressure change, and fiction factor were compared at different Reynolds number (3,000-9,230) with different nanoparticles volume concentration (0.5%, 1.0%, and 1.5%). The results showed that Nusselt number increases with increasing Reynolds number and nanoparticle volume concentration. The pressure drops and friction factor of nanofluid are higher than the distilled water and are increasing as the volume concentration increases. Furthermore, the elliptical tube provided small increase in Nusselt number compared to that of circular cross sectional tube. However, the friction factor in the elliptical tube was slightly higher.
Coping with Exercise Induced Spatial Memory Improvement in Morphine Dependent Rats by Inhibiting Brain Derived Neurotrophic Factor (BDNF)
Authors: Zare Aboozar , Nowzari Vali , Karimi-Jashni Tahereh
Published: September 2021

Background: Addiction as a chronic disorder that requires long treatment. One way to treating this chronic disease is exercise. Chronic exposure to opiates impairs spatial learning and memory. Given the well-known beneficial effects of voluntary exercise on cognitive functions, we investigated whether voluntary exercise would ameliorate the cognitive deficits that are induced by morphine dependence. If an effect of exercise was observed, we aimed to investigate the possible role of hippocampal brain-derived neurotropic factor (BDNF) in the exercise-induced enhancement of learning and memory in morphine-dependent rats.
Methods: The rats were injected with bi-daily doses (10 mg/kg, at 12 hr. intervals) of morphine over a period of 10 days of voluntary exercise. Following these injections, a water maze task was performed twice a day for 5 consecutive days, followed by a probe trial 2 days later. A specific BDNF inhibitor (TrkB-IgG chimera) was used to block the hippocampal BDNF action during the 10 days of voluntary exercise.
Results: The voluntary exercise diminished the severity of the rats’ dependency on morphine. A blockade of the BDNF action blunted the exercise-induced improvement of spatial memory, hippocampal neuron counting and BDNF protein levels in the dependent rats. Our results indicate that voluntary exercise could be increase the expression of LTP by lowering the induction threshold for LTP in the DG of morphine-dependent rats.
Conclusion: Thus, voluntary exercise might be considered as a potential method to ameliorate some of the deleterious behavioral consequences of the abuse of morphine and other opiates.
O desenvolvimento nos territórios de fronteira: Análise dos indicadores socioeconômicos da região de planejamento Sul fronteira/MS
Authors: Miranda Belarmino Obedias , Marques Vieira Rosele
Published: September 2021

Os indicadores socioeconômicos permitem mensurar e explicar a realidade vivida em uma região, conhecer e entende-los auxilia o poder público e a sociedade a pensar em ações e políticas públicas de investimento e transformação social. O objetivo deste estudo é analisar os indicadores socioeconômicos da Região Sul Fronteira, mensurados pelo PIB, renda per capita, emprego, IDHM, Coeficiente de Gini e IFDM. Para tanto foi desenvolvida uma pesquisa descritiva, elaborada a partir de dados secundários. Os resultados demonstram que a Região Sul Fronteira apresenta grandes disparidades econômicas e sociais, desenvolvimento humano médio de 0.634, alta concentração de renda, onde os 10% mais ricos se apropriam de mais de 44%. Fatos que favorecem a desigualdade e a baixa qualidade de vida de seus habitantes. Entretanto a região exibe um considerável potencial voltado para o agronegócio que oferece oportunidades claras para seu desenvolvimento socioeconômico.
Research of tomatoes Solanum lycopersicum L. originating from different climatic-geographical regions and identification of metabolites by tandem mass spectrometry
Authors: Chunikhina O. A. , Razgonova M. P. , Zakharenko A. M. , Golokhvast K. S.
Published: September 2021

Relevance. A number of scientific studies confirm that consumption of fruits and vegetables can reduce the risk of certain chronic diseases, such as cancer and cardiovascular diseases, for example, consumption of fresh tomatoes and tomato products is inversely proportional to the development of certain types of cancer. Tomato Solanum lycopersicum L. contains a large number of polyphenolic complexes, which are biologically active compounds. In this article, the authors have attempted for the first time to present the complete metabolomic composition of Solanum lycopersicum extracts.Materials and methods: As an object of research, authors used the extracts of Solanum lycopersicum L., from the collection of the Federal Research Center N.I. Vavilov All-Russian Institute of Plant Genetic Resources, grown and collected at the Far Eastern Experiment Station Branch of the Federal State Budgetary Scientific Institution in September 2020 (varieties: k-5351 Ont77 13, Canada; k-3149 Rehovoth, Israel; 2698 Ukraine). High performance liquid chromatography (HPLC) in combination with a BRUKER DALTONIKS ion trap (tandem mass spectrometry) was used to identify target analytes in extracts obtained by the maceration method.Discussion: The results of initial studies revealed the presence of 36 biologically active compounds, of which 22 were identified for the first time in Solanum lycopersicum L. These are Apigenin, Luteolin, Kaempferol, Taxifolin, Myricetin, Coutaric acid, Caffeoylmalic acid, Caftaric acid, Dicaffeoylquinic acid, coumarins Fraxetin, and Fraxetin-7-O-beta-glucuronide, Pelargonidin, Salvianolic acid D, Rosmanol, Colnelenic acid, Ethyl rosemary, lignan Medioresinol-O-hexoside, Squalene, etc. The findings will help to intensify future research into the development and production of various functional food products containing targeted extracts of Solanum lycopersicum L.
ICT-Driven Business Model Innovation in SMEs: The Role of Organizational Capabilities, Firm Size and Age
Authors:   Delft University of Technology, Faculty of Technology, Policy, and Management, South Holland, The Netherlands, Latifi Mohammad-Ali , Bouwman Harry ,   Delft University of Technology, Faculty of Technology, Policy, and Management, South Holland, The Netherlands, Nikou Shahrokh ,   Delft University of Technology, Faculty of Technology, Policy, and Management, South Holland, The Netherlands
Published: September 2021

Research has shown that business model innovation (BMI) can create competitive advantages and enhance firm performance. However, many small and medium-sized enterprises (SMEs) fail to supreme their performance. BMI can create unexpected consequences for businesses and their ecosystem. Therefore, knowing how and under what circumstances BMI affects a firm’s performance is a primary concern for managers/owners of SMEs. Using data from 460 European SMEs, this paper aims to examine three paths through which ICT-driven BMI can impact firm’s performance. Introducing organisational capabilities as a mediator, this study has extended prior literature on BMI by showing that organisational capabilities are as strong as other existing mediators of revenue and efficiency growth regarding improving the firm’s performance. The findings provide guidelines for practitioners to execute informed-decisions about the implementation of BMI based on their firm’s strategies and the available capabilities while considering contingent factors of firm size and age.
Forming Sustainable Physical Activity Programs Among Young Elderly - A Combined ELM & UTAUT Approach
Authors:   Institute for Advanced Management Systems Research, Turku, Finland, Carlsson Christer , Walden Pirkko ,   Institute for Advanced Management Systems Research, Turku, Finland, Kari Tuomas ,   Institute for Advanced Management Systems Research, Turku, Finland, University of Jyvaskyla, Faculty of Information Technology, Jyvaskyla, Finland, Makkonen Markus ,   Institute for Advanced Management Systems Research, Turku, Finland, University of Jyvaskyla, Faculty of Information Technology, Jyvaskyla, Finland, Frank Lauri ,   Institute for Advanced Management Systems Research, Turku, Finland, University of Jyvaskyla, Faculty of Information Technology, Jyvaskyla, Finland
Published: September 2021

There is consensus in health studies that regular physical activities of sufficient intensity and duration contribute to better health both in the short and long term. In an ongoing research program, we focus on getting the young elderly, the 60-75 years age group, to adopt and include physical activities as part of their daily routines. One reason for addressing young elderly is large numbers – in Finland health care costs for the elderly was 3.7 B€ in 2019 and will increase dramatically if the young elderly group is in bad shape when they reach the 75+ age group. We are finding out that systematic physical activities can serve as preventive health care for the young elderly. We are also learning that digital services can be instrumental for building sustainable physical activity programs.
Segmentation of the Young Elderly Based on Technology Readiness
Authors:   Åbo Akademi University, Faculty of Social Sciences, Business and Economics, Åbo, Finland, Sell Anna , Walden Pirkko ,   Institute for Advanced Management Systems Research and Åbo Akademi University, Åbo, Finland
Published: September 2021

We examine the young elderly’s technology readiness in order to understand the propensity to adopt and use technology for personal use. We use the Technology Readiness Index 2.0 as segmentation basis to segment a sample of mainly young elderly individuals. Our aim is to find meaningful segments within this demographic group regarding their technology readiness, and to contrast the segments with previous research. Our findings based on 538 retirees revealed a similar segmentation profile as found within working-age populations, and a surprisingly different profile than previous research with a mature target group. We identified five distinct segments portraying the young elderly as diverse technology users, ranging from ‘pioneers’ to ‘hesitators’. The findings give arise to discussion regarding the impact of age on the technology readiness of individuals and the importance of age as a predictor of technology use. We propose that commonly held views on age as an inhibitor of technology use are becoming outdated as the diffusion of technology reaches a certain level of maturity in a market.
The Effects of Consumer Demographics and Payment Method Preference on Product Return Frequency and Reasons in Online ShoppingEffects of Consumer Demographics and Payment Method Preference on Product Return Frequency and Reasons in Online Shopping
Authors:   University of Jyvaskyla, Faculty of Information Technology, Jyvaskyla, Finland, Makkonen Markus , Frank Lauri ,   University of Jyvaskyla, Faculty of Information Technology, Jyvaskyla, Finland, Kemppainen Tiina ,   University of Jyvaskyla, School of Business and Economics, Jyvaskyla, Finland
Published: September 2021

In online shopping, product returns are very common. In order to reduce them, one must first understand who are making them and why are they being made. In this study, we aim to address these questions by examining product return behaviour from a consumer-centric rather than the more traditional product-centric, retailer-centric, and order-centric perspectives. More specifically, we focus on the effects of four demographic characteristics of consumers (i.e., gender, age, education, and income) as well as their payment method preference on their product return frequency and product return reasons. As the data, we use the responses from 560 Finnish online consumers, which were collected with an online survey and are analysed both quantitatively and qualitatively. We find gender, age, payment method preference, and average online shopping frequency to affect average product return frequency, whereas product return reasons were found to be affected by only gender and average product return frequency.
Copyright Enforcement in the Dutch Digital Music Industry
Authors:   HU University of Applied Science, Utrecht, The Netherlands, Hadžiarapović Nerko , van Steenbergen Marlies ,   HU University of Applied Science, Utrecht, The Netherlands, Ravesteijn Pascal ,   HU University of Applied Science, Utrecht, The Netherlands
Published: September 2021

There is a lack of interest and empirical analysis in the existing literature on composers’ relations with their publishers and the role of Collective Management Organizations (CMOs) within the system of music copyright. The purpose of this paper is to explore and understand the influence of digitization within the music industry on the copyright enforcement in the Netherlands and on rights holders and the CMOs. Also to explore and understand how their mutual relationships are affected by digitization of the music industry. A qualitative analysis was done by reviewing scientific literature, performing a documents analysis and doing open interviews. In the existing economics of copyright literature, the main focus is set on transaction costs, efficiency and welfare topics. The findings can be used to understand and model how rights holders and CMOs cope with the digitization and contribute to the policy makers and economic actor’s discussion about future improvement of the copyright enforcement system.
The Impact of Computer-Mediated Delayed Feedback on Developing Oral Presentation Skills: an Experimental Study in Virtual Reality
Authors:   Utrecht University of Applied Sciences, Utrecht, The Netherlands, Sichterman Bo , Schipper Mariecke ,   Utrecht University of Applied Sciences, Utrecht, The Netherlands, Verstappen Max ,   Utrecht University of Applied Sciences, Utrecht, The Netherlands, Waisvisz Philippine ,   Utrecht University of Applied Sciences, Utrecht, The Netherlands, van Ginkel Stan ,   Utrecht University of Applied Sciences, Utrecht, The Netherlands
Published: September 2021

Previous studies emphasize that feedback is essential for acquiring presentation skills. However, it remains unknown whether computer-mediated delayed feedback, provided in Virtual Reality (VR) without the intervention of the teacher, impacts students’ public speaking skills. Recent technological developments allowed to convert quantitative information from VR-systems into qualitative feedback messages that directly relate to the standards for high-quality feedback. This experimental field study, therefore, focuses on the impact of automated, qualitative feedback messages in a VR-system on students’ presentation skills development (n = 60). The effects are compared with a validated condition in which the delayed VR-feedback is delivered by an expert. Mixed methods, including validated rubrics and self-evaluation tests, are used for data collection. This study aims to refine educational design principles concerning effective feedback in presentation curricula. Furthermore, the results should provide insights about supporting feedback processes while releasing the pressure on resources such as time and staffing.
Designing Data Governance Mechanisms for Data Marketplace Metaplatforms
Authors:   Delft University of Technology, Faculty of Technology, Policy and Management, Delft, The Netherlands, Abbas Antragama Ewa
Published: September 2021

Data Marketplace Meta-platforms (DMMPs) federate the fragmented set of data marketplaces and are expected to become a pivotal instrument to realize a single European Data Market in 2030. However, one critical hindrance to foster the adoption of business data sharing via DMMPs is data providers' risk of losing control over data. Generally, the literature on interorganizational data sharing has highlighted that data governance mechanisms can help data providers to retain control over their data. Nevertheless, data governance mechanisms in the DMMP context are yet to be explored. Therefore, this research aims to design data governance mechanisms for business data sharing in DMMPs by employing the Design Science Research (DSR) approach. This study contributes to the literature by identifying root causes and consequences of losing control over data and defining prescriptive knowledge regarding design requirements, design principles, and a framework for designing data governance mechanisms within the novel setting of metaplatforms.
Sensory-Marketing-Evaluation of E-Commerce Websites with Artificial Intelligence
Authors:   UCAM Universidad Católica San Antonio de Murcia, Spain, Hamacher Kevin , Buchkremer Rüdiger ,   Institute of IT Management and Digitization, FOM University of Applied Sciences, Düsseldorf, Germany
Published: September 2021

Multisensory consumer engagement on e-commerce websites is technically limited to visual, acoustic, and written elements. Consumers communicate, buy, and share products and services via digital environments in which sensory information is limited. To improve consumers' online sensory experience, media types and the content need to be quantitatively assessed and adapted. This project aims to develop a quantitative model, an Online Sensory Marketing Index (OSMI), which assesses ecommerce websites in multisensory communication quality. The OSMI will be supported by an automatic procedure that is based on artificial intelligence. Content of texts, images, and videos is evaluated by natural language processing (NLP), natural language generation (NLG) as well as automatic machine learning (AutoML) procedures. Multiple e-commerce websites from various industries are examined.
Transformation of the BPMN Business Process Model into Smart Contracts for the Hyperledger Fabric Environment
Authors:   University of Maribor, Faculty of organizational sciences, Kranj, Slovenia, Hriberšek Janko
Published: September 2021

Transformation of BPMN business process model will be a very important topic in the future of the Hyperledger Fabric blockchain environment. Machine transformation can increase the quality of transformation and thus reduce errors. The research paper first describes BPMN and the Hyperledger Fabric environment, what smart contracts are and why they are so important. In the second part, the raw transformation model is described, where the inputs for the transformations are BPMN and the metadata file, and the result is a smart contract written in Java that can be imported into the Hyperledger Fabric environment.
Conceptual Model for SMEs' Data Maturity Assessment
Authors:   University of Maribor, Faculty of Organizational Sciences, 4000 Kranj, Slovenia, Gašperlin Blaž
Published: September 2021

Digital transformation has brought about a rapid shift towards a completely digital enterprise, generating a huge amount of data. Most small and medium-sized enterprises (SMEs) have data stored in different places, formats, and systems, or are unaware that it exists (Dark Data). While digital technologies are at the root of rapid data growth within and outside organizations, sharing and exchanging data between organizations presents an additional challenge. We argue that one of the barriers to the successful digital transformation of SMEs is data immaturity. The concept of data maturity has been addressed from different aspects (data quality, governance,...), in specific domains (supply chain management, manufacturing companies,...) and from the perspective of the Capability Maturity Model. However, there has been no study that has addressed a comprehensive assessment of data maturity for the SME sector as a multi-criteria problem. In this research, we propose to combine the ideas of maturity models and multicriteria decision modeling by using a design science research approach. The developed model will help SMEs assess their data maturity level and help them understand what aspects of data maturity they need to advance, what steps they need to take, and how to evaluate their progress