bluuebunny/crossref_metadata_2025 huggingface dataset:
Inequality in the Distribution of Healthcare Human Resources in Poland
Authors: Rój Justyna
Published: March 2020

Human resources are the major input in health systems. Therefore, their equitable distribution remains critical in making progress towards the goal of sustainable development. The purpose of this study is to evaluate equity in the distribution of healthcare human resources across regions of Poland from 2010 to 2017. This research by applying specifically to Polish conditions will allow the existing gap in the literature to be closed. Data were derived from the Database of Statistics Poland, and the Lorenz Curve/Gini coefficient was engaged as well as the Theil index to measure the extent and drivers of inequality in the distribution of healthcare human resources in macro-regions. Population size along with crude death rates are employed as proxies for healthcare need/demand. This research has several major findings. Mainly, it was found, that the geographical distribution of all types of human resources is less equitable than is the case with population distribution. Relatively lower equity in the access to oncologists, family doctors, and cardiologists was found. There are some noticeable differences between macro-regions in the equity level of healthcare human resources distribution. This research provides various implications for policy and practice and will allow for improved planning and more efficient use of these resources.
Closed-Loop Supply Chain Models Considering Government Subsidy and Corporate Social Responsibility Investment
Authors: Song Liping , Yan Yingluo , Yao Fengmin
Published: March 2020

In addition to pursuing profits, more and more international enterprises are beginning to pay attention to environmental sustainability and corporate social responsibility (CSR). How to effectively encourage enterprises to undertake more CSR and maintain the sustainable development of society has become an urgent task for managers and researchers. Under this background, this paper considers the recycling of used products for environmental sustainability and takes into account profit donation as a CSR investment. Aiming at the decision-making of single-cycle closed-loop supply chain (CLSC) with a dominant retailer when considering government subsidies and CSR investment, and based on the Stackelberg Game analysis technology, we formulate three distinct donation (CSR investment) models; the centralized system’s donation model, the manufacturer’s donation model, and the retailer’s donation model, and by doing system comparisons and numerical examples to analyze the impact of government subsidy and CSR investment on new product pricing and waste product recovery from the perspectives of government, environment and CLSC system. The results show that government subsidy is not only conducive to expanding market demand and increasing waste recycling rates, but also to improving CSR investment levels. Under the two decentralized decision-making models, regardless of whether the dominant retailer makes CSR investment, she can always get more channel profits than the manufacturer. From the view of environmental, economic, and social perspectives, the manufacturer makes CSR investment a better choice, and at this time the government has the best effect of implementing subsidy. Finally, based on the principle of cost sharing, a CSR cost sharing contract which can realize the coordination of CLSC is designed to solve the channel conflict and optimize the decision-making. Counterintuitively, the dominant retailer can gain more profits when it bears more cost in the CSR cost sharing contract.
Symmetric Modeling of Communication Effectiveness and Satisfaction for Communication Software on Job Performance
Authors: Lan Tian-Syung , Chuang Kai-Chi , Li Hai-Xia , Tu Jih-Fu , Huang Huei-Sheng
Published: March 2020

Job performance is an issue highly related to the repetition of one enterprise. Because of the popularity of the Internet, consumer electronics have boomed rapidly and remove the space limitation stems. Users in the Taiwanese community send messages or share information through communication software that leads to more dependence from business. Various business problems have been solved and job performance has increased through the diversified functions on communication software. Thus, this research supposed that staff are willing to continuously use communication software LINE(a new communication app which allows one to make FREE voice calls and send FREE messages), and they agree that the varied functions of communication software would mean that information delivery more symmetrically affects their job performance. According to the research outcomes, communication effectiveness significantly influenced communication satisfaction and job performance, and communication satisfaction significantly influenced job performance. As organizational communication must be conducted through media that disseminate information, and different media have different communication effects, the relationship between communication effectiveness and job performance was completely mediated by communication satisfaction. The research suggested companies or organizations use LINE as a symmetric communication method to not only help employees improve their job performance, but also help enterprises achieve their goals or raise the profit, or even steady development for enterprises.
The Quadratic Residues and Some of Their New Distribution Properties
Authors: Wang Tingting , Lv Xingxing
Published: March 2020

In this paper, we give some interesting identities and asymptotic formulas for one kind of counting function, by studying the computational problems involving the symmetry sums of one kind quadratic residues and quadratic non-residues mod   p . The main methods we used are the properties of the Legendre’s symbol mod   p , and the estimate for character sums. As application, we solve two open problems proposed by Zhiwei Sun.
Cardiac Remodeling in Chronic Kidney Disease
Authors: Kaesler Nadine , Babler Anne , Floege Jürgen , Kramann Rafael
Published: March 2020

Cardiac remodeling occurs frequently in chronic kidney disease patients and affects quality of life and survival. Current treatment options are highly inadequate. As kidney function declines, numerous metabolic pathways are disturbed. Kidney and heart functions are highly connected by organ crosstalk. Among others, altered volume and pressure status, ischemia, accelerated atherosclerosis and arteriosclerosis, disturbed mineral metabolism, renal anemia, activation of the renin-angiotensin system, uremic toxins, oxidative stress and upregulation of cytokines stress the sensitive interplay between different cardiac cell types. The fatal consequences are left-ventricular hypertrophy, fibrosis and capillary rarefaction, which lead to systolic and/or diastolic left-ventricular failure. Furthermore, fibrosis triggers electric instability and sudden cardiac death. This review focuses on established and potential pathophysiological cardiorenal crosstalk mechanisms that drive uremia-induced senescence and disease progression, including potential known targets and animal models that might help us to better understand the disease and to identify novel therapeutics.
Construction of eGFP-Tagged Senecavirus A for Facilitating Virus Neutralization Test and Antiviral Assay
Authors: Liu Fuxiao , Huang Yilan , Wang Qianqian , Shan Hu
Published: March 2020

Senecavirus A (SVA), also known as Seneca Valley virus, is an emerging virus that causes vesicular disease in pigs. This virus belongs to the genus Senecavirus in the family Picornaviridae. The SVA CH-LX-01-2016 was isolated from Guangdong Province of China in 2016. In this study, a recombinant SVA CH-LX-01-2016 was constructed using reverse genetics, and proven to be able to express efficiently an enhanced green fluorescent protein (eGFP) in vitro. This eGFP-tagged recombinant SVA (rSVA-eGFP) exhibited a high capacity for viral replication. Its fluorescence-tracked characteristics greatly facilitated both virus neutralization test (VNT) and antiviral assay. The rSVA-eGFP-based VNT was used to detect eight porcine serum samples, out of which four were determined to be neutralization titer-positive. Subsequently, two antiviral drugs, ribavirin and apigenin, were assayed for evaluating both effects against the rSVA-eGFP in vitro. The result showed that only the ribavirin exhibited an anti-SVA activity.
Removal of High-Strength Ammonia Nitrogen in Biofilters: Nitrifying Bacterial Community Compositions and Their Effects on Nitrogen Transformation
Authors: Peng Fuquan , Gao Yuexiang , Zhu Xiang , Pang Qingqing , Wang Longmian , Xu Wenwen , Yu Jianghua , Gao Pengcheng , Huang Jingxian , Cui Yibin
Published: March 2020

Increasing attention has been given to the treatment of livestock and poultry wastewater because of its high ammonium nitrogen (NH4+-N) content and low carbon/nitrogen ratio (C/N). Ceramic filter medium (CFM) and dewatered aluminum sludge (DAS), which are products from cast-off materials, are used as small-scale combined biological filters (CFM-DAS) for wastewater treatment. The high and stale removal efficiency of chemical oxygen demand (COD), NH4+-N, and total nitrogen (TN) in the DAS filter indicate that DAS plays a major role in pollutant removal. Although significant differences are found between the composition of nitrifying bacteria in CFM and DAS, the structures of nitrifying communities are evenly distributed in each layer of CFM or DAS irrespective of the running time. Microbial compositions are attributed to the comprehensive effect of various environmental factors such as pH and TN at effluents. In the DAS, Nitrosospira shows significant negative correlation with the concentrations of NH4+-N in effluents, whereas it has positive correlation with NO3−-N, and Nitrososphaera has a significant negative correlation with NO3−-N in effluents. Pearson correlation test reveals that certain genera may be used in estimating or predicting NH4+-N consumption and NO3−-N accumulation in CFM-DAS for treating sewage with a high NH4+-N content.
Characterizing Density Flow Regimes of Three Rivers with Different Physicochemical Properties in a Run-Of-The-River Reservoir
Authors: Ryu Ingu , Yu Soonju , Chung Sewoong
Published: March 2020

Inflow mixing affects the spatiotemporal heterogeneity of water quality in reservoirs. Reservoir water quality management requires accurate prediction of density flow regimes to understand the spatiotemporal distribution of dissolved and particulate nutrients and organics. This study aims to characterize the mixing and circulation of three rivers with different physicochemical properties in a run-of-the-river (ROR) reservoir, using high-frequency monitoring and three-dimensional (3D) hydrodynamic modeling. The Aquatic Ecosystem Model (AEM3D) was constructed for the reservoir and calibrated with high-frequency data obtained from May–June 2016, accurately reproducing the observed spatiotemporal variations of flow velocity, water temperature, and electrical conductivity (EC) in the reservoir. High-frequency data and 3D model results showed that mixing of the rivers in the ROR reservoir is governed by density flow regimes formed by influent water temperature differences. At the confluence, colder and warmer river influents formed underflows and surface buoyant overflows, respectively. The spatial arrangement of flow direction, water residence time, and EC concentration were largely controlled by the buoyancy-driven flow. Stagnant areas with long residence times corresponded with areas of observed algal blooms and hypoxia. High-frequency sensor technology, combined with 3D hydrodynamic modeling, is effective for understanding the complex flow regimes and associated water quality characteristics in ROR-type reservoirs.
Water Regulation in Cyanobacterial Biocrusts from Drylands: Negative Impacts of Anthropogenic Disturbance
Authors: Cantón Yolanda , Chamizo Sonia , Rodriguez-Caballero Emilio , Lázaro Roberto , Roncero-Ramos Beatriz , Román José Raúl , Solé-Benet Albert
Published: March 2020

Arid and semi-arid ecosystems are characterized by patchy vegetation and variable resource availability. The interplant spaces of these ecosystems are very often covered by cyanobacteria-dominated biocrusts, which are the primary colonizers of terrestrial ecosystems and key in facilitating the succession of other biocrust organisms and plants. Cyanobacterial biocrusts regulate the horizontal and vertical fluxes of water, carbon and nutrients into and from the soil and play crucial hydrological, geomorphological and ecological roles in these ecosystems. In this paper, we analyze the influence of cyanobacterial biocrusts on water balance components (infiltration-runoff, evaporation, soil moisture and non-rainfall water inputs (NRWIs)) in representative semiarid ecosystems in southeastern Spain. The influence of cyanobacterial biocrusts, in two stages of their development, on runoff-infiltration was studied by rainfall simulation and in field plots under natural rainfall at different spatial scales. Results showed that cover, exopolysaccharide content, roughness, organic carbon, total nitrogen, available water holding capacity, aggregate stability, and other properties increased with the development of the cyanobacterial biocrust. Due to the effects on these soil properties, runoff generation was lower in well-developed than in incipient-cyanobacterial biocrusts under both simulated and natural rainfall and on different spatial scales. Runoff yield decreased at coarser spatial scales due to re-infiltration along the hillslope, thus decreasing hydrological connectivity. Soil moisture monitoring at 0.03 m depth revealed higher moisture content and slower soil water loss in plots covered by cyanobacterial biocrusts compared to bare soils. Non-rainfall water inputs were also higher under well-developed cyanobacterial biocrusts than in bare soils. Disturbance of cyanobacterial biocrusts seriously affected the water balance by increasing runoff, decreasing soil moisture and accelerating soil water loss, at the same time that led to a very significant increase in sediment yield. The recovery of biocrust cover after disturbance can be relatively fast, but its growth rate is strongly conditioned by microclimate. The results of this paper show the important influence of cyanobacterial biocrust in modulating the different processes supporting the capacity of these ecosystems to provide key services such as water regulation or erosion control, and also the important impacts of their anthropic disturbance.
PECULIARITIES OF BRONCHIAL ASTHMA CLINICAL COURSE IN SMOKERS WITH SMALL AIRWAY DISEASES
Authors: Gnoevykh V.V. , Shorokhova Yu.A. , Smirnova A.Yu. , Peskov A.B. , Razin V.A.
Published: March 2020

The literature review provides up-to-date information about the clinical course of bronchial asthma (BA) in smokers with small airway diseases. Special attention is paid to the combination of bronchial asthma and chronic obstructive pulmonary disease (COPD), namely asthma-COPD overlap syndrome (ACOS). According to literature data, in case of small airway duseases exacerbations are more often and severe in smokers with BA and ACOS. Besides, disease prognosis worsens due to reduction in the efficacy of a baseline therapy. Keywords: bronchial asthma, small airway disease, smoking-related phenotype, asthma-COPD overlap (BA-COPD phenotype). В литературном обзоре представлены современные сведения об особенностях клинического течения бронхиальной астмы (БА) у курильщиков с поражением малых дыхательных путей (МДП). Особое внимание уделено сочетанию бронхиальной астмы и хронической обструктивной болезни лёгких (ХОБЛ; COPD) – синдрому перекрёста БА-ХОБЛ (СПБАХ, asthma-COPD overlap, ACO; фенотип БА-ХОБЛ). Согласно литературным данным, в случае поражения МДП у больных БА с фенотипом курильщика и при сочетании БА-ХОБЛ чаще возникают и тяжелее протекают обострения, ухудшается прогноз заболевания, в т.ч. из-за снижения эффективности базисной терапии. Ключевые слова: бронхиальная астма, поражение малых дыхательных путей, фенотип курильщика, asthma-COPD overlap (фенотип БА-ХОБЛ).
MANAJEMEN PENGELOLAAN LIMBAH INDUSTRI TAHU (Studi pada Sentra Industri Tahu di Kelurahan Abian Tubuh Kota Mataram)
Authors: DEWI NI MADE NIA BUNGA SURYA
Published: March 2020

Industrial Waste Management is one of the serious problems in the era of industrialization. Therefore waste management must be handled early during the production process. This means that the waste treatment process must be carried out from upstream to downstream. This study aims to build a waste management optimization model with quantitative analysis conducted through focus group discussions and in-depth interviews that combine the results of producer and consumer interviews. The results showed that there are many aspects related to waste from the tofu industry in the Abian Body Village, so it made waste optimization very important.
DINAMIKA DAN POLA KEMISKINAN DI KABUPATEN LOMBOK TIMUR
Authors: KABUL LALU MUH.
Published: March 2020

This study discusses poverty dynamicsand its pattern wherethe significance of the study is to accelerate implementation of poverty alleviation effectively. The study method used is mixed method, quantitative and qualitative. The result of study in 2016-2018 indicatedthat number of people who moved out poverty (mover) larger than who move into poverty (faller).Meanwhile, povery pattern indicated that number of people who experienced transient poverty (50.12 percent) larger than number of people who experienced chronical poverty (48.63 percent). The implication of the study is not only number of people changed each year, but also their poverty status. Therefore, up dating of povery data must be carried out regularly each year
PENGARUH PENAMBAHAN LIMBAH GRANIT TERHADAP KUAT TEKAN BETON
Authors: HADI SURYA
Published: March 2020

Concrete is a mixture consisting of cement, sand, gravel, and water. To get good quality in the process it is necessary to add additional materials (admixture or additive), waste, or other materials with a certain comparison value. In this case, the use of granite and natural stone waste as a material for making concrete is quite potential because the waste of granite and natural stone as a material for making concrete is easy to find. In this study, a destructive method testing is used make concrete. This study aims to determine the compressive strength of concrete by utilizing waste granite and natural stone as a material for making concrete. In this study 12 (twelve) cylindrical specimens are used with a diameter of 150 mm and a height of 300 mm, with a percentage increase in granite waste of 0%, 8%, 10% and 12%. The test is carried out after 28 days of concrete in accordance with ASTM C496-90, then the cylindrical test specimens are tested with a compressive load using a CTM (Compression Testing Mechine). The planned compressive strength is 25 MPa. From the results of the study, the normal compressive strength of 26.09 MPa is obtained. On the addition of granite waste with a percentage of 8%, 10% and 12%, the compressive strength is obtained at 24.58 MPa, 22.69 MPa and 21.28 MPa respectively. Addition of granite waste to normal concrete actually reduces the compressive strength of concrete. The higher the percentage of additional granite waste, the weaker compressive strength of concrete becomes. In this study it is concluded that the compressive strengthof normal concrete is higher than that of concrete with the addition of granite waste
ANALISIS KELAYAKAN FINANSIAL SISTEM PENGELOLAAN SAMPAH DI DESA PENEBEL KABUPATEN TABANAN
Authors: PUTRI DEWA AYU PUTU ADHIYA GARINI , GAMA ADIE WAHYUDI OKTAVIA
Published: March 2020

Waste is currently a major issue in the development of the current tourism paradigm towards sustainable tourism. Waste management is certainly needed to keep the environment clean and beautiful. Waste management does not only reach urban areas, but also includes rural areas. One of them is in the area of Penebel Village, Penebel District, Tabanan Regency. Penebel Village is currently conducting an independent waste management effort at the village level. The Penebel Village area currently consists of 9 banjar dinas which have a total population of 4,175 people. One effort has been made is to design a 3R Integrated Waste Management Site (TPST) within the Penebel Village. The study conducted is a financial feasibility analysis of the waste management system found in Penebel Village. Based on the results of a financial feasibility study on the waste management model in Penebel Village, the NPV value is Rp. 694,166,994,426, -> 0 and the value of BCR is 2.58> 1. Both NPV and BCR values are greater than the specified conditions, so the investment is declared NPV> 0 and BCR> 1.
Negotiating for Justice: Judge's Perception of the Plea-Bargaining Process in Malaysia
Authors: Hamin Zaiton , Rani Ahmad Ridhwan Abd
Published: March 2020

Objective - This paper aims to examine the role of judges and the reality of the plea-bargaining process from the perspective of the judiciary, focusing primarily on their perceptions on the new law and their role and the problems facing them in implementing the law.

Methodology/Technique - This paper adopts a qualitative methodology, in which the primary data is obtained from semi-structured interviews with 20 respondents comprising of the stakeholders in the criminal justice system. The secondary data is obtained from analysing the CPC and other library-based sources.

Findings - The research reveals that judges are facing some problems derived from the law itself which makes the new plea-bargaining process unappealing to them. Consequently, judges have invented their solutions either by reverting to the old practice or imposing on the parties their terms in disposing of the case through judge-prompted plea-bargain.

Novelty - This paper is significant in providing some evidence of the procedural difficulties faced by judges in hearing plea-bargaining application at the pre-trial stage.

Type of Paper - Review

Keywords: Criminal Procedure; Judiciary; Pre-trial Stage; Plea-Bargaining Process; Plea of Guilty.

JEL Classification: K40, K49
When Women are the Criminals: Governing Violent Extremism in Malaysia via ‘Hard’ and ‘Soft’ Modalities
Authors: Hamin Zaiton , Kamaruddin Saslina
Published: March 2020

Objective - This paper seeks to examine the multiple roles of women in preventing and countering violent extremism (PVE/CVE) efforts and the existing legal ('hard') and non-legal ('soft') modalities governing such criminality.

Methodology/Technique - This paper adopts a library-based research methodology through not only the conceptual analysis but also content analysis and doctrinal legal analysis. The secondary data consists of the primary sources, which includes the terrorism-related laws and the Penal Code. The secondary sources include books, law reports, journals, and online databases.

Findings - The authors contend that despite the significance of women's role in preventing and countering violent extremism, the gender perspective is glaringly absent in the current Malaysian PVE/CVE initiatives.

Novelty - There is a dearth of research on the involvement of women in violent extremism in Malaysia, and their role in PVE/CVE. This paper is very useful in contributing to the existing literature on the role of women in PVE/CVE efforts and beneficial for policy-makers and law enforcement agencies in curbing such criminality.

Type of Paper - Review.

Keywords: Violent Extremism; Terrorism; Women; Law; Countering Violent Extremism; Preventing Violent Extremism.

JEL Classification: K10, K14, K19.
ACHIEVE Model on Research and Publication Performance
Authors: Sulistiowati Sulistiowati , Komari Nurul
Published: March 2020

Objective - The number of publications written by Indonesian lecturers and researchers has increased both in terms of quantity and quality. However, it is still lower than some neighboring countries such as Singapore, Malaysia and Thailand. Hence, academics in Indonesia, especially in West Kalimantan, still need to improve their research and publication performance. This research aims to analyze the effect of the ACHIEVE model which stands for Ability, Clarity, Help, Incentive, Evaluation, Validity, and Environment, on research and publication performance.
Methodology/Technique – The research questions that must be answered in this research was whether Ability, Clarity, Help, Incentive, Evaluation, Validity, and Environment significantly influenced the performance of lecturers' research and publications. The data were collected by distributing self-report questionnaires to 100 lecturers.
Finding - The data were also supported by a secondary source taken from the literature study. Measurement variables were developed from the theory and results of previous studies. The data, then, were analyzed by using multiple linear regression with SPSS software. The novelty in this article is the use of the Achieve model to study research and publication performance in higher education institution.
Novelty - This research suggested that Ability, Clarity, Help, Incentive, Evaluation, Validity and Environment had a significant effect on research performance. The research also found that the Ability had the highest effect on the research performance.
Type of Paper: Empirical.
Keywords: Performance, ACHIEVE, Ability, Clarity, Incentive, Performance.

Reference to this paper should be made as follows: Sulistiowati; Komari, N. 2020. ACHIEVE Model on Research and Publication Performance, Global J. Bus. Soc. Sci. Review, 8(1): 22 – 29. https://doi.org/10.35609/gjbssr.2020.8.1(3)

JEL Classification: M12, M19.
Local Government Unit Basic Services: Implementation and Assessment
Authors: Leal Rosalie C , Sagubo Orpha S. , Brutas Reynaldo M.
Published: March 2020

Objective - Local Government Units (LGUs) play a significant role in the development of their constituents. Basic services should be their main priority in order to implement these services to a high standard. Hence, this study aims to assess the level of implementation of basic services in San Mateo, Isabela, taking into account the profile of the respondents, their perception on the implementation of basic services and good governance, significant differences in their perceptions, and problems encountered in the implementation process.
Methodology/Technique – The data collected was measured and analysed using the Social Sciences Statistical Package (SPSS).
Finding - The results show that the respondents (which were grouped into 4) vary in their perceptions on the implementation of the basic services; however, the level of implementation was high. Moreover, the 4 dimensions of good governance recorded a very satisfactory level of implementation. These findings imply that the mechanisms used in the delivery of basic services are effective and responsive. Thus, the model used by the LGU San Mateo may be shared with other municipalities to achieve quality delivery of basic services.

Type of Paper: Empirical.

Keywords: Basic Services; Perceptions; Level of Implementation; Local Government Unit; Public Service.

Reference to this paper should be made as follows: Leal, R.C; Sagubo, O.S; Brutas, R. M. 2020. Local Government Unit Basic Services: Implementation and Assessment, Global J. Bus. Soc. Sci. Review, 8(1): 49 – 59. https://doi.org/10.35609/gjbssr.2020.8.1(6)

JEL Classification: H7, H70.
The Impact of Career Adaptability to the Job Search Strategies of Graduate Students in NCR
Authors: Francisco Idda Felice S. , Castano Mary Caroline N.
Published: March 2020

Objective – Job search is a continuous and developing process which is considered to be an essential part of the work-life of people due to its frequency and extensiveness. Previous literature on job search focusses on how hard job seekers search for a job but only have vague knowledge about the strategies that they use during the search. This study aims to identify the influence of career adaptability on employed graduate students in predicting their direct behaviors in the form of job search strategies used in the job search process. The study also aims to examine the impact of the job search strategies on the number of jobs offers received.
Methodology/Technique –With a total of 388 samples, PLS-SEM is used to examine the relationship of the variables.
Findings – Consistent with previous literature wherein job seekers primarily employ focused strategy when they have a career plan in mind, the results reveal that concern is positively and significantly related to focused strategy, as well as curiosity. Further analysis of the data reveals that exploratory strategy is positively and significantly affected by curiosity and confidence.
Novelty – This implies that the more curious and confident graduate students are, the more exploratory they search. Furthermore, the results are consistent with previous studies wherein haphazard strategy was associated with fewer job offers while focused strategy was proven to have a positive effect on the number of job offers.

Type of Paper: Empirical.

Keywords: Job Search; Career Adaptability; Graduate Students; Job Search Strategies; Employment.
Reference to this paper should be made as follows: Francisco, I.F.S; Castano, M.C.N. 2020. The Impact of Career Adaptability to the Job Search Strategies of Graduate Students in NCR, J. Mgt. Mkt. Review 5(1) 41 – 50 https://doi.org/10.35609/jmmr.2020.5.1(4)
JEL Classification: A23. A29.
The Influence of Customer Relationship Management (CRM) Indicators on Customer Loyalty of Sharia Based Banking System
Authors: Lubis Adelina , Dalimunthe Ritha , Absah Yeni , Fawzeea Beby Karina
Published: March 2020

Objective – The purpose of this research is to determine whether CRM (Customer Relationship Management) indicators, namely complaint resolution, customer orientation, customer empowerment and customer knowledge affect the loyalty of sharia bank customers in North Sumatra.
Methodology/Technique – The sample of this study is 120 Islamic banking customers in North Sumatra, namely customers at PT. BNI Syariah Tbk, PT. Bank Syariah Mandiri Tbk and PT. BRI Syariah Tbk. The analytical method used is multiple linear regression analysis.
Findings – The results of this study are as partial complaint resolution, customer orientation, customer empowerment and customer knowledge variables have a significant effect on customer loyalty in Islamic Banking in North Sumatra and the hypothesis is accepted. The better CRM that is owned and implemented by Islamic Banking in North Sumatra will have an effect on increasing customer loyalty. Simultaneously complaint resolution, customer orientation, customer empowerment and customer knowledge variables significantly influence customer loyalty in Islamic Banking in North Sumatra and the hypothesis is accepted.
Type of Paper: Empirical

Keywords: Customer Relationship Management, customer loyalty.
Reference to this paper should be made as follows: Lubis, A; Dalimunthe, R; Absah Y; Fawzeea, B.K. 2020. The Influence of Customer Relationship Management (CRM) Indicators on Customer Loyalty of Sharia Based Banking System. J. Mgt. Mkt. Review 5(1) 84 – 92 https://doi.org/10.35609/jmmr.2020.5.1(8)
JEL Classification: M31, G21, M10
O Contexto do Ambiente Percebido na Atividade Física de Lazer e Deslocamento em Idosos
Authors: Balbé Giovane Pereira , Biesdorf Marisa , Souza Jean Carlos de , Santos Luana da Cruz , Schlemper Cybelle Doederlein Soares , Wathier Clair Antônio
Published: March 2020

O objetivo deste estudo é comparar a prevalência de Atividade Física (AF) no lazer e deslocamento com a percepção do ambiente em idosos. Estudo transversal, conduzido com 213 idosos do município de Rio do Sul – SC. A AF no lazer e deslocamento foram investigadas conforme os domínios do Questionário Internacional de Atividade Física. A percepção do ambiente foi avaliada mediante a Neighborhood Environmental Walkability Scale. O deslocamento apresentou diferença significativa entre os idosos que relataram maior densidade residencial próxima de sua residência, a existência de lugares para caminhar e andar de bicicleta, melhor estética do bairro e maior segurança no trânsito. Não houve relação na AF de lazer e os domínios do ambiente. Conclui-se que a AF no deslocamento em idosos pode ser mais suscetível a influência das características ambientais, em relação ao lazer.
ANOTACIÓN A LA SENTENCIA 145/2018 DEL JUZGADO DE LO MERCANTIL DE MURCIA DE 20 DE JUNIO
Authors: Louredo Casado Sara
Published: March 2020

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O FUNDO PARA A INOVAÇÃO SOCIAL E AS EMPRESAS SOCIAIS EM PORTUGAL
Authors: Fajardo Linhares Pereira Maíra
Published: March 2020

O Decreto-Lei n.° 28/2018 de 3 de maio criou o Fundo para a Inovação Social (FIS), quarto instrumento da Iniciativa Portugal Inovação Social. O FIS destaca-se dos demais instrumentos por ser o único a oferecer financiamentos reembolsáveis, prever retorno financeiro e incluir as sociedades sob a forma comercial que se qualifiquem como Pequenas e Médias Empresas como beneficiárias. O objetivo desta crónica é fazer uma breve análise jurídica do Decreto-Lei n.° 28/2018 no contexto do desenvolvimento do quadro legal português e do quadro legal europeu relativo às empresas sociais.
Addressing Natural Language Request Complexity: At Semantic Web Service Discovery Horizon
Authors:   Ph.D. Research Scholar, Department of Computer Science, Guru Nanak Dev University, India., Negi Aradhana , Kaur Parminder ,   Assistant Professor in the Department of Computer Science, Guru Nanak Dev University, India.
Published: March 2020

The wondrous influence of semantic web on Service-Oriented Architecture pushes it towards a realistic and self-driven architecture where publication, discovery, selection, composition, and monitoring of services are semi-automatically performed on the behalf of their hosts or mediators. In the direction of this realistic and self-driven architecture, this research work is adding one more realistic aspect of ‘interpretation of natural language request’ to making the service discovery more usable for novice users. Three contributions have been made: (1) description of natural language request using six-slab range (2) two algorithms for extraction, sub-request generation, inclusion of semantics and semantic matchmaking of natural language request, and (3) evaluation of proposed strategy with two semantic formalisms. The proposed algorithms handle each complex service request as an individual entity and extract the demand/s of the request by decomposing it to the simple request from conjunction, condition, and negation-oriented natural language request. The experimental evaluation of the proposed strategy signifies the given algorithms. The proposed work and result evaluation is a part of on-going research on a generic discovery mechanism for semantic web services.
Machine Learning Solutions for Analysis and Detection of DDoS Attacks in Cloud Computing Environment
Authors:   Scholar, Amity Institute of Information Technology, Noida, Uttar Pradesh, India., Wani Abdul Raoof , Rana Q. P. ,   Assistant Professor, Jamia Hamdard University New Delhi, India., Pandey Nitin ,   Assistant Professor, University of Uttar Pradesh,
Published: March 2020

Distributed denial of service is a critical threat that is responsible for halting the normal functionality of services in cloud computing environments. Distributing Denial of Service attacks is categorized in the level of crucial attacks that undermine the network's functionality. These attacks have become sophisticated and continue to grow rapidly, and it has become a challenging task to detect and address these attacks. There is a need for Intelligent Intrusion detection systems that can classify and detect anomalous behavior in network traffic. This research was performed on the cloudstack environment using Tor Hammer as an attacking mechanism, and the Intrusion Detection System produced a new dataset. This analysis incorporates numerous algorithms of machine learning: kmeans, decision tree, Random Forest, Naïve Bayes, Support Vector Machine and C4.5
Eddy Current Testing Technique to Detect Imperfection Surface for Different Lift-off Value on Copper Metal
Authors:   Department of MSc in Physic with Electronics at University Malaysia Sabah (UMS., Santa Salmia , Sulaiman Fauziah ,   Department of MSc in Physic with Electronics at University Malaysia Sabah (UMS., Eldy Elnetthra Folly ,   a lecturer in Universiti Malaysia
Published: March 2020

Non-Destructive Testing (NDT) known as the evaluation of properties of a wide variety of materials without causing a damaged despite after inspection is done and the material still can be used. This paper aims for a designed NDT metal instrument that is conducted using eddy current testing (ECT) technique to find an applicable lift-off (LO) value in detecting imperfection. A dual sensor was designed consist of excitation coil was applied to evaluate the surface imperfections or other excitation frequencies in controlling the signal responses from the testing material, copper (Cu) with dimension of 100 mm x 100 mm installed with artificial surface imperfection (i.e., 7 mm, 14 mm and 21 mm) was main subject in this study. An established amplifier consisting of a specific op-amp was used to boost up the voltage of the alternate current (AC). The data of setting frequencies was ranged from 5.00 - 5.25 MHz was recorded varied of the LO values (i.e., 1.0 mm, 2.0 mm, 3.0 mm, 4.0 mm and 5.0 mm). Based on the frequencies applied the result for an applicable LO value acquires the promising result of reading signal was around 2 mm and the imperfection detection performance obtained a larger voltage gradient with the increase of the imperfection sizes. The study concludes that the developed non-destructive metal testing instrument of specific ECT design by using the excitation coil is appropriate in measuring the LO value and could be used to find different imperfection for metal.
Setting the Optimum Time for a Special Audit to Improve the Enterprise's Cyber Security
Authors:   Department of Mathematics, State University of Telecommunications, Kyiv, Ukraine,, Oleg Barabash , Yevhen Halakhov ,   Department of Mathematics, State University of Telecommunications, Kyiv, Ukraine.
Published: March 2020

The article presents a method for setting the optimal time for special audit to improve the level of cyber defense of an enterprise working in the field of market relations of IT services. Studying the issue of providing measures to reduce the risk of a cyber-incident, analyzed the time series of the intensity of cyber-attacks of the enterprise. An analytical function of the cyber-attack intensity at an enterprise that satisfies the nonlinear Bernoulli differential equation is considered. The elasticity interval of the analytic function of the cyber-attack intensity at the enterprise is found. Analysis of cyber-attack time series on the enterprise system for the same time periods falling within the time interval from the end of the planned audit to the beginning of the next one. An analytical alignment of the time series of the cyber-attack intensity function was performed using a logistic curve. A stepwise p-transformation of a small parameter into a cyber-attack intensity function for an enterprise was introduced and the dimensionlessness of the variables was performed, which made it possible to calculate the sensitivity of a dimensionless cyber-attack intensity function from a small parameter p over a set time period. The study is based on the application of the theory of elasticity of the intensity function of cyber-attacks, which determines the time interval at which to conduct a special audit at the enterprise. Due to the found elasticity interval of the cyber-attack intensity function, the optimal time for special audit was determined.
On Effort Distribution in Software Project Development for Academic Domain
Authors:   Professor, Symbiosis Institute of Computer Studies and Research, Symbiosis International Deemed University, Pune, India., Saini Jatinderkumar R. , Chomal Vikas S. ,   Associate Professor, Mandvi Education Society Institute of Computer Studies, Surat, India
Published: March 2020

Effort distribution in software engineering is a well-known term used to measure cost and effort estimation for each and every phase or activity in software development. Effort distribution is taken in consideration in almost all IT companies while developing software. But it is mostly not considered or overlooked in developing academic software projects by students of computer science courses. The paper presents with results of an experimentation on phase effort distribution data of 84 software academic projects of post graduate final year students of computer science. The phase effort distribution provided by students were collected, analyzed and compared with COCOMO II model which provides effort distribution required in software development. Finally, this paper also discusses and provides recommendation about the use and importance of effort distribution in academic software projects development.
VANET Simulator: Full Design Architecture
Authors:   Faculty, Department of Technological Industry and Energy, Delta Technological University, Egypt.,, Elgazzar Mohamed M. A. , Alshareef Ahmad ,   Faculty, Department of Engineering , Cairo University, Giza, Egypt,
Published: March 2020

Vehicular ad-hoc networks VANETs are now greatly affecting our daily lives. Autonomous driving vehicles becomes a hot research topic in automotive industry. Deploying autonomous vehicles scenarios requires realistic network through which all vehicles can communicate safely and efficiently. Network simulation prior direct implementation saves a lot of time and money, due to the high implementation cost of the vehicular ad-hoc networks.VANET simulators are not as same as mobile ad-hoc network MANET simulators; they have different characteristics and different architecture design, where VANET simulators are rapidly changing network topology in a frequent basis with high-speed moving nodes.In this paper, we will discuss the full architecture design of VANET simulator, which consists of three main parts: mobility generator, network simulator, and a middleware framework that combine both mobility and network simulator together, followed by a comparative study of the different parts of VANET simulator.
L1 Norm Penalized Bias Compensated Linear Constrained Affine Projection Algorithm
Authors:   Department of Electronics and Communication, Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha University, Delhi, India,, Yadav Rajni , Rai Chandra Shekhar ,   University School of Information, &Communication Technology, Guru Gobind Singh Indraprastha University, Delhi, India,.
Published: March 2020

This paper presents an l1-norm penalized bias compensated linear constrained affine projection (l1-BC-CAP) algorithm for sparse system identification having linear phase aspectin the presence of noisy colored input. The motivation behind the development of the proposed algorithm is formulated on the concept of reusing the previous projections of input signal in affine projection algorithm (APA) that makes it suitable for colored input. At First, l1-CAP algorithm is derived by adding zero attraction based on l1-norm into constrained affine projection (CAP) algorithm. Then, the proposed l1-BC-CAP algorithm is derived by addinga bias compensator into the filter coefficient update equation of l1-norm constrained affine projection (l1-CAP) algorithm to alleviate the adverse consequence of input noise on the estimation performance. Hence, the resulting l1-BC-CAP algorithm excels the estimation performance when applied to linear phase sparse system in the existence of noisy colored input. Further, this work also examines the stability concept of the proposed algorithm
Segmentation of Malayalam Handwritten Characters into Pattern Primitives and Recognition using SVM
Authors:   Department of Computer Science, University of Calicut, Kerala, India., B Baiju.K. , S Sabna.T. ,   Department of Computer Science, University of Calicut, Kerala, India., L Lajish.V. ,   Department of Computer Science, University of Calicut, Kerala, India
Published: March 2020

This paper describes a lexical analysis (segmentation) approach in Pattern Recognition for Online Handwritten Character Recognition (OHCR) in Malayalam. The subunits (Pattern Primitives) in the single stroke vowel characters in Malayalam are identified and marked with pattern primitives to obtain a reference set of characters. Segmentation of the handwritten character samples into pattern primitives is made using a Combined Approach of Ramer Douglas Peucker algorithm and Eight Direction Freeman Code as per reference set. Features that are unique in the primitives of a character are extracted. The discriminating features identified are the direction of first primitive, segment count, cusp in second primitive, crossing in third primitive, and cusp in seventh primitive. The experiments were conducted on 100 samples per character that showed exact segmentation as per the reference set. With a five dimension feature set, the study achieved a recognition rate of 95.77% for five-fold cross-validation using Support Vector Machine with RBF kernel. The study shows that the segmentation of characters into pattern primitives is an effective method to realize accurate Malayalam OHCR systems for real-time applications.
Optimized Level Set Method for Segmentation of SAR Images using Adaptive Fuzzy K Means Clustering
Authors:   Department of ECE, Kamala Institute of Technology and Science, Singapur, Huzurabad, Telangana, India., Kalyani Chenigaram , Nagapuri Lalitha ,   Department of ECE, Kamala Institute iof Technology and Science, Singapur, Huzurabad, Telangana, India., Nirosha Chinta ,   Department of ECE , DRK College of Engineering And Technology, Hyderabad, Telangana, India, Srinivas Azmeera ,   Assistant Professor, iDepartment iof iECE, KITS Warangal, Telangana, India.
Published: March 2020

The complications that occurred in remote sensing image information and analysis algorithms growth of a large scale image segmentation haven’t kept a place with the requirement for the methods which to develop the final accuracy of object detection as well as the recognition. Traditional Level set segmentation methods which are Chan-Vese (CV), Image and Vision Computing (IVC) 2010, ACM with SBGFRLS, and Online Region-Based ACM (ORACM) are suffered from more amounts of time complexity, as well as low segmentation accuracy due to large intensity homogeneities and the noise at which the region based segmentation is impossible. So this is the reason, we proposed a navel hybrid methodology called adaptive particle swarm optimization (PSO) based Fuzzy K-Means clustering algorithm. The proposed approach is diversified into two stages; in stage one, pre-processing the input image to improve the clustering efficiency and overcome the obstacles present in traditional methods by using particle swarm optimization (PSO) and Adaptive Fuzzy K-means clustering algorithm. With the help of the PSO algorithm, we getithe “optimum” pixels values are extracted from the input SAR images, these optimum values are automatically acted as clusters centers for Adaptive Fuzzy K-Means Clustering instead of random initialization from the original image. The pre-processing segmentation result improved the clustering efficiency but suffers from few drawbacks such as boundary leakages and outliers even particle Swarm optimization is used. To overcome the above drawbacks post-processing is needed to facilitate the superior segmentation results with the help of the level set method. It utilizes an efficient curve deformation driven by external and internal forces to capture the important structures (usual iedges) in an image. The combined approach of both pre-processing and post-processingwhich is called Particle Swarm Optimization based Adaptive Fuzzy-K-Means (AFKM) clustering via the level set method. The proposed approach is successfully implemented on large