bluuebunny/crossref_metadata_2025 huggingface dataset:
Global attractor for a hyperbolic Cahn–Hilliard equation with a proliferation term
Authors: Badieti Matala Padouette Boubati , Moukoko Daniel , Evrard Isseret Goyaud Mayeul
Published: February 2021

In this article, we study a hyperbolic equation of Cahn–Hilliard with a proliferation term and Dirichlet boundary conditions. In particular, we prove the existence and uniqueness of the solution, and also the existence of the global attractor.
Maz’ya–Shaposhnikova formula in magnetic fractional Orlicz–Sobolev spaces
Authors: Maione Alberto , Salort Ariel M. , Vecchi Eugenio
Published: February 2021

In this note we prove the validity of the Maz’ya–Shaposhnikova formula in magnetic fractional Orlicz–Sobolev spaces. This complements a previous asymptotic study of the limit as [Formula: see text] performed by the second author in ( Studia Mathematica ( 2020 )).
A high performance scalable fuzzy based modified Asymmetric Heterogene Multiprocessor System on Chip (AHt-MPSOC) reconfigurable architecture
Authors: Raveendran Arun Prasath , Alzubi Jafar A. , Sekaran Ramesh , Ramachandran Manikandan
Published: February 2021

This Ensuing generation of FPGA circuit tolerates the combination of lot of hard and soft cores as well as devoted accelerators on a chip. The Heterogene Multi-Processor System-on-Chip (Ht-MPSoC) architecture accomplishes the requirement of modern applications. A compound System on Chip (SoC) system designed for single FPGA chip, and that considered for the performance/power consumption ratio. In the existing method, a FPGA based Mixed Integer Programming (MIP) model used to define the Ht-MPSoC configuration by taking into consideration the sharing hardware accelerator between the cores. However, here, the sharing method differs from one processor to another based on FPGA architecture. Hence, high number of hardware resources on a single FPGA chip with low latency and power targeted. For this reason, a fuzzy based MIP and Graph theory based Traffic Estimator (GTE) are proposed system used to define New asymmetric multiprocessor heterogene framework on microprocessor (AHt-MPSoC) architecture. The bandwidths, energy consumption, wait and transmission range are better accomplished in this suggested technique than the standard technique and it is also implemented with a multi-task framework. The new Fuzzy control-based AHt-MPSoC analysis proves significant improvement of 14.7 percent in available bandwidth and 89.8 percent of energy minimized to various traffic scenarios as compared to conventional method.
Machine learning based intelligent automated neonatal epileptic seizure detection
Authors: Elakkiya R.
Published: February 2021

Epilepsy is found to be the fourth most common chronic neurological disorder that tends to abnormal and unpredictable brain activity and seizure states. According to statistics, 70% of the epilepsy patients can be cured if identified and treated with anti-epileptic drugs or shock stimulations. Only about 7% to 8% need to be operated. Electroencephalogram (EEG) is a cheap and effective way to record the prolonged activities of the brain through electrical impulses between neural cells. Seizure is difficult to detect in neonates as the signal involves a lot of disturbances and the existing high accuracy system for adults can’t be used for neonates. In an attempt to build an impregnable system to detect seizure in early stages, EEG signals of neonates procured from Neonatal Intensive Care Unit (NICU) at the Helsinki University Hospital. These signals were processed and fed into three different robust algorithms –Support Vector Machine (SVM), Artificial Neural Network (ANN) and 1-Dimensional Convolutional Neural Network (1D-CNN). The experimental results were compared and the proposed CNN model with 95.99% accuracy outperforms all the state-of-art models for automated Epileptic Seizure prediction in Neonates. Deep CNN has been a powerful tool in extracting robust features from EEG signals. This generalized system can be used by medical experts for detecting Seizure in neonates with better accuracy and reliability.
Multi-attributive border approximation area comparison (MABAC) method based on normal q-rung orthopair fuzzy environment
Authors: Liu Peide , Pan Qian , Xu Hongxue
Published: February 2021

The normal intuitionistic fuzzy number (NIFN), which membership function and non-membership function are expressed by normal fuzzy numbers (NFNs), can better describe the normal distribution phenomenon in the real world, but it cannot deal with the situation where the sum of membership function and non-membership function is greater than 1. In order to make up for this defect, based on the idea of q-rung orthopair fuzzy numbers (q-ROFNs), we put forward the concept of normal q-rung orthopair fuzzy numbers (q-RONFNs), and its remarkable characteristic is that the sum of the qth power of membership function and the qth power of non-membership function is less than or equal to 1, so it can increase the width of expressing uncertain information for decision makers (DMs). In this paper, firstly, we give the basic definition and operational laws of q-RONFNs, propose two related operators to aggregate evaluation information from DMs, and develop an extended indifference threshold-based attribute ratio analysis (ITARA) method to calculate attribute weights. Then considering the multi-attributive border approximation area comparison (MABAC) method has strong stability, we combine MABAC with q-RONFNs, put forward the q-RONFNs-MABAC method, and give the concrete decision steps. Finally, we apply the q-RONFNs-MABAC method to solve two examples, and prove the effectiveness and practicability of our proposed method through comparative analysis.
EUCOR: An Efficient Unequal Clustering and Optimal Routing in wireless sensor networks for energy conservation
Authors: Jothikumar C. , Venkataraman Revathi , Sai Raj T. , Selvin Paul Peter J. , Nagamalleswari T.Y.J.
Published: February 2021

Wireless sensor network is a wide network that works as a cutting edge model in industrial applications. The sensor application is mostly used for high security systems that provide safety support to the environment. The sensor system senses the physical phenomenon, processes the input signal and communicates with the base station through its neighbors. Energy is the most important criterion to support a live network for long hours. In the proposed system, the EUCOR (Efficient Unequal Clustering and Optimized Routing) protocol uses the objective function to identify the efficient cluster head with variable cluster size. The computation of the objective function deals with the ant colony approach for minimum energy consumption and the varying size of the cluster in each cycle is calculated based on the competition radius. The system prolongs the lifespan of the nodes by minimizing the utilization of energy in the transmission of packets in the networks when compared with the existing system.
Cost-Effectiveness of Immunotherapy Treatments for Renal Cell Carcinoma: A Systematic Review
Authors: Philip Errol J. , Zhang Sylvia , Tahir Peggy , Kim Daniel , Wright Francis , Bell Alexander , Borno Hala T.
Published: February 2021

BACKGROUND:

Kidney cancer exerts significant disease burden in the United States and possesses a rapidly evolving treatment landscape. The expansion of novel systemic treatment approaches and the use of immunotherapy has been accompanied by increased costs over time. However, the cost-effectiveness of immunotherapy in renal cell carcinoma (RCC) has not been fully assessed. The current study presents a systematic review of cost-effectiveness studies of immunotherapy-based treatment in the context of RCC.

METHODS:

A literature search utilizing PubMed, Embase, Web of Science, and the Cochrane Library was undertaken to find articles related to the cost-effectiveness of immunotherapy treatment in renal cell carcinoma (RCC). The inclusion criteria for articles were as follows: English, published between 1983 and 2020 and evaluated cost-effectiveness in any of the currently approved immunotherapies for RCC. Exclusion criteria included being a review article, commentary or editorial, as well as possessing no specific cost-effectiveness evaluation or analysis relevant to the current review.

RESULTS:

The current review identified 23 studies, published between 2008 and 2020, across 9 different countries. The studies identified tended to focus on patients with locally advanced or metastatic RCC and examined the cost-effectiveness of immunotherapy across various lines of treatment (first-line treatment ( n = 13), second-line treatment ( n = 8), and first-line and beyond ( n = 2). Eight studies examined the use of interferon-alpha (IFN-alpha), with some reports supporting the cost-effectiveness of these agents and an equal number of studies demonstrating the opposite, with sunitinib often demonstrating superior cost bases. The majority, fourteen studies, included the use of novel immune checkpoint inhibitors (nivolumab, ipilimumab, pembrolizumab), half of which found that checkpoint inhibitors were more cost-effective when compared to oral systemic therapies (sunitinib, everolimus, axitinib, pazopanib, and cabozantinib).

DISCUSSION:

Novel immune checkpoint inhibitors constituted the most frequently examined agents and were likely to be deemed cost-effective as compared to other treatments; although this often required higher willingness-to-pay (WTP) thresholds or healthcare systems that possessed more cost-constraints. These observations have clinical and health system applicability, with the ability to potentially reduce the cost of treatment for locally advanced or metastatic RCC.
Joint engagement and movement: Active ingredients of a music-based intervention with school-age children with autism
Authors: Latif Nida , Di Francesco Cynthia , Custo-Blanch Melanie , Hyde Krista , Sharda Megha , Nadig Aparna
Published: February 2021

BACKGROUND: The effectiveness of music-based interventions (MI) in autism has been attested for decades. Yet, there has been little empirical investigation of the active ingredients, or processes involved in music-based interventions that differentiate them from other approaches. OBJECTIVES: Here, we examined whether two processes, joint engagement and movement, which have previously been studied in isolation, contribute as important active ingredients for the efficacy of music-based interventions. METHODS: In two separate analyses, we investigated whether (1) joint engagement with the therapist, measured using a coding scheme verified for reliability, and (2) movement elicited by music-making, measured using a computer-vision technique for quantifying motion, may drive the benefits previously observed in response to MI (but not a controlled non-MI) in children with autism. RESULTS: Compared to a non-music control intervention, children and the therapist in MI spent more time in triadic engagement (between child, therapist, and activity) and produced greater movement, with amplitude of motion closely linked to the type of musical instrument. CONCLUSIONS: Taken together, these findings provide initial evidence of the active ingredients of music-based interventions in autism.
Deficits in musical rhythm perception in children with specific learning disabilities
Authors: Hande Vasudha , Hegde Shantala
Published: February 2021

BACKGROUND: A specific learning disability comes with a cluster of deficits in the neurocognitive domain. Phonological processing deficits have been the core of different types of specific learning disabilities. In addition to difficulties in phonological processing and cognitive deficits, children with specific learning disability (SLD) are known to have deficits in more innate non-language-based skills like musical rhythm processing. OBJECTIVES: This paper reviews studies in the area of musical rhythm perception in children with SLD. An attempt was made to throw light on beneficial effects of music and rhythm-based intervention and their underlying mechanism. METHODS: A hypothesis-driven review of research in the domain of rhythm deficits and rhythm-based intervention in children with SLD was carried out. RESULTS: A summary of the reviewed literature highlights that music and language processing have shared neural underpinnings. Children with SLD in addition to difficulties in language processing and other neurocognitive deficits are known to have deficits in music and rhythm perception. This is explained in the background of deficits in auditory skills, perceptuo-motor skills and timing skills. Attempt has been made in the field to understand the effect of music training on the children’s auditory processing and language development. Music and rhythm-based intervention emerges as a powerful intervention method to target language processing and other neurocognitive functions. Future studies in this direction are highly underscored. CONCLUSIONS: Suggestions for future research on music-based interventions have been discussed.
Investigating music-based cognitive rehabilitation for individuals with moderate to severe chronic acquired brain injury: A feasibility experiment
Authors: Jones Cheryl , Richard Nicole , Thaut Michael
Published: February 2021

BACKGROUND: Acquired brain injuries often cause cognitive impairment, significantly impacting participation in rehabilitation and activities of daily living. Music can influence brain function, and thus may serve as a uniquely powerful cognitive rehabilitation intervention. OBJECTIVE: This feasibility study investigated the potential effectiveness of music-based cognitive rehabilitation for adults with chronic acquired brain injury. METHODS: The control group participated in three Attention Process Training (APT) sessions, while the experimental group participated in three Music Attention Control Training (MACT) sessions. Pre-and post- testing used the Trail Making A & B, Digit Symbol, and Brown-Peterson Task as neuropsychological tests. RESULTS: ANOVA analyses showed no significant difference between groups for Trail A Test, Digit Symbol, and Brown-Peterson Task. Trail B showed significant differences at post-test favouring MACT over APT. The mean difference time between pre-and post-tests for the Trail B Test was also significantly different between APT and MACT in favour of MACT using a two-sample t-test as well as a follow-up nonparametric Mann Whitney U-test. CONCLUSIONS: The group differences found in the Trail B tests provided preliminary evidence for the efficacy of MACT to arouse and engage attention in adults with acquired brain injury.
Feasibility of a rhythmic auditory stimulation gait training program in community-dwelling adults after TBI: A case report
Authors: Sheridan Conor , Thaut Corene , Brooks Dina , Patterson Kara K.
Published: February 2021

BACKGROUND: Traumatic brain injury has multiple impacts on gait including decreased speed and increased gait variability. Rhythmic auditory stimulation (RAS) gait training uses the rhythm and timing structure of music to train and ultimately improve slow and variable walking patterns. OBJECTIVE: To describe the feasibility of RAS gait training in community-dwelling adults with traumatic brain injury (TBI). A secondary objective is to report changes in spatiotemporal gait parameters and clinical measures of balance and walking endurance. METHODS: Two individuals with a TBI participated in nine sessions of gait training with RAS over a 3-week period. At baseline, post-training and 3-week follow-up, spatiotemporal parameters of walking were analyzed at preferred pace, maximum pace and dual-task walking conditions. Secondary outcomes included the Community Balance and Mobility Scale and the 6-Minute Walk Test. Feasibility was assessed using reports of physical fatigue, adverse event reporting, and perceived satisfaction. RESULTS: Both participants completed all 9 planned intervention sessions. The sessions were well tolerated with no adverse events. Participant 1 and 2 exhibited different responses to the intervention in line with the therapeutic goals set with the therapist. Participant 1 exhibited improved speed and decreased gait variability. Participant 2 exhibited reduced gait speed but less fatigue during the 6MWT. CONCLUSIONS: RAS was found to be a safe and feasible gait intervention with the potential to improve some aspects of gait impairments related to gait speed, gait variability, dynamic balance and walking endurance. Further investigation including a pilot randomized controlled trial is warranted.
Does respiratory muscle training improve respiratory function compared to sham training, no training, standard treatment or breathing exercises in children and adults with neuromuscular disease? A Cochrane Review summary with commentary
Authors: Galea Mary P.
Published: February 2021

BACKGROUND: Progressive muscle weakness is a feature of neuromuscular diseases (NMDs), a heterogeneous group of conditions with variable onset, presentation and prognosis that affect both children and adults. Respiratory muscle weakness compromises respiratory function and may lead to respiratory failure. OBJECTIVE: To assess the effects of respiratory muscle training (RMT) in adults and children with NMD. METHODS: A Cochrane Review by Silva et al. was summarized with comments. RESULTS: Eleven studies involving 250 randomized participants with NMD were included. While the studies showed that RMT may lead to improvements in lung function and respiratory muscle strength in people with ALS and DMD, this was not a consistent finding. The evidence from all the included trials was of low or very low certainty. CONCLUSIONS: There may be some improvement in lung capacity and respiratory muscle strength following RMT in some NMD. There appears to be no clinically meaningful effect of RMT on physical functioning and quality of life in ALS. The low certainty of the evidence means that the results need to be interpreted with caution.
Effects of vibratory massage therapy on grip strength, endurance time and forearm muscle performance
Authors: Alam Mohd Mukhtar , Khan Abid Ali , Farooq Mohd
Published: February 2021

BACKGROUND: Vibration therapy (VT) causes an increase in motor unit activation tendency, an involuntary recruitment of earlier sedentary motor units, which increases the muscle fiber force generating capacity and muscle performance. OBJECTIVE: To evaluate the effect of vibratory massage therapy at 23 Hz and 35 Hz on grip strength, endurance, and forearm muscle performance (in terms of EMG activity). METHODS: Ten healthy and right-handed men participated voluntarily in this study. The experiment was characterized by the measurement of MVC (maximal voluntary contraction) grip strength and grip endurance time at 50%MVC, accompanied by the corresponding measurement of the EMG signals of the muscles viz., flexor digitorum superficialis (FDS); flexor carpi ulnaris (FCU); extensor carpi radialis brevis (ECRB); and extensor carpi ulnaris (ECU) in supine posture. RESULTS: MANCOVA results showed significant effects of VT frequency on endurance time (p < 0.001); but no significant effect on the grip strength (p = 0.161) and muscle performance (in terms of EMG activities of the forearm muscles). However, VT improves the MVC grip strength and grip endurance time (better at 35 Hz). The Pearson correlation was significant between: weight, palm length, palm circumference, and forearm length with MVC grip strength; and the palm length with the endurance time. In addition, the palm length, palm circumference, and forearm circumference generally serve to better predict MVC grip strength and grip endurance time. CONCLUSIONS: Vibration therapy at 35 Hz for 10 minutes on the forearms had a significant positive effect on the neuromuscular performance to enhance muscle performance of upper extermitites and can be used as the optimal range to study the effect of VT. Findings may be used to prepare guidelines for VT in rehabilitation, healthcare, sports, and medical for therapists.
Robotic Mounted Rail Arm System for implementing effective workplace safety for migrant workers
Authors: Wei Hongbo , Rahman Md Arafatur , Hu Xu , Zhang Lin , Guo Lieyan , Tao Hai , Salih Sinan Q
Published: February 2021

BACKGROUND: The selection of orders is the method of gathering the parts needed to assemble the final products from storage sites. Kitting is the name of a ready-to-use package or a parts kit, flexible robotic systems will significantly help the industry to improve the performance of this activity. In reality, despite some other limitations on the complexity of components and component characteristics, the technological advances in recent years in robotics and artificial intelligence allows the treatment of a wide range of items. OBJECTIVE: In this article, we study the robotic kitting system with a Robotic Mounted Rail Arm System (RMRAS), which travels narrowly to choose the elements. RESULTS: The objective is to evaluate the efficiency of a robotic kitting system in cycle times through modeling of the elementary kitting operations that the robot performs (pick and room, move, change tools, etc.). The experimental results show that the proposed method enhances the performance and efficiency ratio when compared to other existing methods. CONCLUSION: This study with the manufacturer can help him assess the robotic area performance in a given design (layout and picking a policy, etc.) as part of an ongoing project on automation of kitting operations.
DESIGN, OPTIMIZATION & IN-VITRO EVALUATION OF SODIUM ALGINATE BASED IN-SITU GEL OF RANITIDINE HYDROCHLORIDE IN ULCER TREATMENT
Authors: Kumar Sanket , Singh Mahesh , Patel Babulal
Published: February 2021

Peptic ulcer, it is the most common type of stomach disease, according to the American Gastroenterology Association. “We know that ulcers occur because there has been a disruption in the balance of factors that injure the digestive tract and those factors that protect it from injury,” The present investigation deal with the formulation, optimization and evaluation of sodium alginate based in situ gel of ranitidine hydrochloride (R-HCl) in ulcer treatment. The in-situ formulation are homogenous liquid when administration orally and become gel at the contact site. The evaluation of the formulation is dependent upon accurate results obtained by analytical method used during the study. Accurate results require the use of standard and a calibration procedure. Hence, standard plots of Ranitidine hydrochloride were prepared in (0.1N HCL, pH 1.2) solutions. Two, sodium alginate and calcium carbonate used as a polymer and cross-linking agent respectively in the formulation of in-situ gel. From the IR studies it may be concluded that the drug and carriers used undergo physical interaction there is no chemical change, and thus the gelling agent, cross-linking agent and other excipient is suitable for formulation of in-situ gel of ranitidine hydrochloride. Indicate that the formulation, DKF9 which was prepared by the Sodium alginate (2 gm) with Ranitidine Hydrochloride showed minimum drug release (sustained drug release) after 8 hrs. It can be concluded that the In-situ gel was beneficial for delivering the drug which needs sustained release to achieve the slow action.

Keywords: In-situ gel, Peptic Ulcer, Ranitidine Hydrochloride (R-HCl), Sodium alginate.
Use of construction waste in the Republic of Belarus.
Authors: Krukouskaya Tatsiana , Baitava Sviatlana , Zhuravska Nataliia
Published: February 2021

The analysis of the state and prospects of recycling construction waste in the Republic of Belarus has been carried out. Aspects of the current waste management system of construction activities, including the features of terminology and classification of waste, qualitative and quantitative parameters of education, indicators of use, have been studies.
Cementált talajok jelenlétének előrejelzése helyszíni vizsgálatokkal
Authors: Nepusz Adrienn
Published: February 2021

A cementált talajok viselkedése jelentősen eltér a megszokottól, így fontos azok jelenlétének minél pontosabb előrejelzése a leggyakrabban alkalmazott helyszíni vizsgálatok segítségével. Ez azonban nem egyszerű feladat, mivel a helyszíni vizsgálatok elvégzése során a talaj szerkezete, a cementációs kötések károsodnak. A szakirodalomban számos ajánlás található a statikus nyomószondázás (CPT) és lapdilatométeres (DMT) mérési eredmények felhasználására, a két vizsgálat fő paraméterei közti korrelációkra, illetve hogy e paraméterek miként alkalmazhatóak a cementáltság előrejelzésére. Célom összefoglalni a szakirodalmi ajánlásokat, majd elvégzem néhány, a várttól eltérő eredményt adó cölöp-próbaterheléshez köthető CPT-eredmény feldolgozását, amelyeknél a cölöp környezetében meszes közepes/kövér agyagok jellemzőek.
The Analysis of the Behavioral Problems of the Pre-school Children and of the Mother-Child Relation
Authors: KARTAL Büşra , BARTAN Murat
Published: February 2021

This research is done in order to examine the behavioral problems that are seen in the pre-school children and the relation between mother and child. The study is prepared according to the relational screening model. The population of the study is the children that are enrolled in the pre-school institutes and kindergartens based in the central region of the providence of Kutahya as well as the parents of these children. According to the results of the study and based on the Scale of the Relation between Parents and the Child, there is no differentiation due to the age of mother and her employment status, but it is observed that there is a differentiation due to mother’s educational status. In both the extrinsic and intrinsic behaviors of the child, there is a differentiation based on the age of the mother as well as her educational status. In the same way, the age and the gender of the child plays some role in the differentiation of the extrinsic and intrinsic behaviors of the child.
A Framework for Social Media Data Mining and Analysis to Product and Service Development- Case of The Zimbabwean National Art Gallery
Authors: Kwenda Kumbirayi , Sarai Noreen , Zhou Tinashe Gwendolyn
Published: February 2021

Social networks have become a vital component in personal life. People are addicted to social network features, updating their profile page and collaborating virtually with other members have become daily routines. Web data mining is a new trend in current research studies. This study sought to develop a framework for social media data mining and analysis for the betterment and advancement of products (art effects) and services (exhibitions) with in the contemporary art industry of Zimbabwe through a case study of the Zimbabwean National Art Gallery. The information for this paper was gathered through the use of in-depth interviews, questionnaires, key-word search and API from the organization’s social media twitter handle were used to get the data for analysis. Focus group participants were chosen from the National art gallery and a matching number was selected from the artist who makes the artworks which will be soles or exhibited through the national art gallery. The findings suggested that, yes it is possible to inform the next batch of products with information mined from analyzing the sentiments or reviews of the previous set of artworks. Hence with this in mind the researchers managed to develop a framework which can be used to implement social media mining in the art sector of Zimbabwe. The proposed framework tried to handle the major limitations in current web mining frameworks by handling challenges such as special symbols, slang use, Data Validity analysis, time frame, and methodologies.
Opinion Based Trust Model for Delay Tolerant Networks using Fuzzy Logic
Authors: Lakshmi M Santhana , M Hemaanand
Published: February 2021

Delay Tolerant Network is designed for long distance communication where end-to-end connectivity is not established due to frequent disconnections or delay. Long latency is encountered in this type of network. This work proposes a reliable model for secure communication in DTN that aims to achieve correct estimation of trust value between the nodes and to minimize the relay rate i.e cost involved in the message transmission with minimum delay based on the history of ownership of information. In this model, we have used data driven approach so that the malicious or selfish nodes are prevented from consuming more resources in the resource constrained network environment. This approach checks the trustworthiness of the source of information. This work adopts computing based approach to evaluate the performance of the proposed model using fuzzy logic. We conduct two comparative analyses in which one compares the four variants of the proposed model to find the best variant of the proposed model and other compares our trust model with the other existing trust models to prove the efficiency of our model over other routing protocols.
Clinical Applications of Brain Computer Interfaces : A Boon for the Future
Authors: Singh Ishita , Manhar Adwin
Published: February 2021

Brain-computer interface (BCI) is the technology act as a interface between the brain and an external device. It converts the signals emitted by the CNS of the brain to artificial output to be understood by the computer. This technology will be most useful to the severely disabled individual or people suffering from amyotrophic lateral sclerosis, brainstem stroke, or any spinal cord injury and thus are impaired of tier ability to communicate and physical functioning. With the fast-paced development and interest of various top-notch companies in this arena due to its positive future Efforts have begun recently to provide safe and secure BCI systems to severely disabled individuals to make their lives easier. In this paper, we will know about BCI , its basic functioning. We will also discuss its clinical application, p300 speller, and its potential for future. Lastly expectation from the future.
An Architectural Approach to Provide Efficient Service with The Service Level Agreement
Authors: Bhargavi N. , Sekhar R. Raja
Published: February 2021

Cloud brokers have been as of late presented as an extra computational layer to encourage cloud choice and administration the board assignments for cloud shoppers. In any case, existing business plans on cloud administration choice ordinarily expect that brokers are totally trusted, and don’t give any assurance over the accuracy of the administration suggestions. It is then workable for an undermined or untrustworthy intermediary to effortlessly exploit the restricted abilities of the customers and give off base or deficient reactions. To address this issue, we propose a creative Cloud Service Selection Verification (CSSV) conspire and list structures to empower cloud customers to distinguish misconduct of cloud dealers during the administration determination measure. We show rightness and productivity of our methodologies both hypothetically and observationally.
Load Balancing Using SJF-MMBF and SJF-ELM Approach
Authors: Rekha S. , Kalaiselvi C.
Published: February 2021

This paper studies the delay-optimal virtual machine (VM) scheduling problem in cloud computing systems, which have a constant amount of infrastructure resources such as CPU, memory and storage in the resource pool. The cloud computing system provides VMs as services to users. Cloud users request various types of VMs randomly over time and the requested VM-hosting durations vary vastly. A multi-level queue scheduling algorithm partitions the ready queue into several separate queues. The processes are permanently assigned to one queue, generally based on some property of the process, such as memory size, process priority or process type. Each queue has its own scheduling algorithm. Similarly, a process that waits too long in a lower-priority queue may be moved to a higher-priority queue. Multi-level queue scheduling is performed via the use of the Particle Swarm Optimization algorithm (MQPSO). It checks both Shortest-Job-First (SJF) buffering and Min-Min Best Fit (MMBF) scheduling algorithms, i.e., SJF-MMBF, is proposed to determine the solutions. Another scheme that combines the SJF buffering and Extreme Learning Machine (ELM)-based scheduling algorithms, i.e., SJF- ELM, is further proposed to avoid the potential of job starva¬tion in SJF-MMBF. In addition, there must be scheduling among the queues, which is commonly implemented as fixed-priority preemptive scheduling. The simulation results also illustrate that SJF- ELM is optimal in a heavy-loaded and highly dynamic environment and it is efficient in provisioning the average job hosting rate.
Prejuízos psicossociais causados pelo vitiligo: A importância de um olhar para o corpo
Authors: Rocha Marizete Oliveira , Martins Luciana Melo
Published: February 2021

O vitiligo é uma dermatose que causa manchas brancas na pele, possui formatos e tamanhos diferentes, surge em qualquer parte do corpo e pode levar a desfiguração estética, além de causar prejuízos psicossociais na vida do paciente acometido. Sem uma forma de prevenção e etiologia indefinida, o vitiligo não faz distinção de gênero, idade e etnia, pode afetar todos os tipos de pele. Não é contagioso e não compromete a funcionalidade do indivíduo, se apresenta como umas das dermatoses mais perturbadoras na descrição da literatura e causa sentimentos autodepreciativos. É importante que o tratamento seja integrado, envolvendo profissionais de saúde comprometidos com o bem-estar psicossocial do paciente dermatológico. O objetivo foi o conhecimento dos prejuízos psicossociais causados pelo vitiligo em seus acometidos. Metodologia: Revisão bibliográfica, inclusão- Trabalhos publicados de 2002 a 2016. Foram excluídos os que não contemplavam o objetivo do estudo, seguindo da análise dos conteúdos selecionados e análise dos resultados. Na seleção, foram escolhidos os trabalhos cujos objetivos evidenciaram consideráveis e inúmeros prejuízos psicossociais a esses pacientes em vários contextos, marcando seus comportamentos como: vergonha, depressão, ansiedades, desamparo, tristeza, isolamento social, dificuldades nas relações e no trabalho, idealização suicida, entre outros. Daí a necessidade de um novo olhar na compreensão e empatia dos profissionais de saúde envolvidos no tratamento do paciente com afecção cutânea.
МОДЕЛЬ ВПРОВАДЖЕННЯ ПРОЕКТУ РЕІНЖИНІРИНГУ БІЗНЕС-ПРОЦЕСІВ У ТРАНСПОРТНО-ЛОГІСТИЧНІЙ ГАЛУЗІ
Authors: Шилова Тамара
Published: February 2021

Упровадження науково обґрунтованої моделі реінжинірингу бізнес-процесів на підприємстві є передумо- вою якісного та кількісного прогресу не лише показників ефективності за всіма видами діяльності, але й підвищення інвестиційної привабливості фірми завдяки зростанню оціночної вартості. У статті висвітлено теоретико-методичні засади формування та застосування моделі впровадження проекту реінжинірингу біз- нес-процесів на підприємствах транспортно-логістичної галузі. Теоретичною базою дослідження є наукові положення та висновки зарубіжних і вітчизняних учених щодо реінжинірингу бізнес-процесів. Проаналізо- вано раніше запропоновані алгоритми реінжинірингу бізнес-процесів, розглянуто методологічний базис цих розробок і вказано на наявні недоліки. Виявлені тенденції, принципи, методи та технології реінжинірингу та його реалізації були отримані шляхом компаративного аналізу попередніх напрацювань щодо алгоритмів упровадження реінжинірингу в бізнес-модель підприємства. Обґрунтовано важливість урахування міжнарод- них стандартів (зокрема, ISO 9001) при запровадженні моделі реінжинірингу на підприємствах, операційна діяльність яких пов’язана із взаємодією з іноземними контрагентами та регуляторами. Представлено влас- ну інноваційну модель впровадження проекту реінжинірингу бізнес-процесів, детально описано алгоритм її функціонування. Ця модель складається з дев’яти етапів (підготовка, розробка моделі компанії, вибір та ана- ліз бізнес-процесів, стратегічне планування та розвиток інноваційної ідеї, затвердження інноваційної ідеї, впровадження нової моделі, контроль, і постійне вдосконалення). Наголошено на необхідності ефективного поєднання системного та процесного підходу при впровадженні вказаної моделі. Підкреслено прикладну цін- ність розробки, що полягає як у задоволенні вимог щодо успішного реінжинірингу та покращенні взаємодії під- розділів, так і в доцільному розподілі ресурсів і відповідальності на кожному з етапів здійснення реінжинірингу.
МОДЕЛЬНИЙ СТАТУТ ЯК УСТАНОВЧИЙ ДОКУМЕНТ ТА ОСОБЛИВОСТІ ЙОГО ВИКОРИСТАННЯ
Authors: Тепла Мирослава
Published: February 2021

У статті досліджено особливості використання модельного статуту як установчого документа юридичної особи. Розглянуто поняття модельного статуту, переваги та недоліки його застосування. Зазначено пере- лік документів, необхідних для державної реєстрації переходу юридичної особи на діяльність на підставі модельного статуту, а також переходу з модельного статуту на діяльність на підставі власного установчого документа. Охарактеризовано зміст модельного статуту товариства з обмеженою відповідальністю та мож- ливості формування власної редакції. Висвітлено особливості онлайн-реєстрації товариства з обмеженою відповідальністю на підставі модельного статуту та переходу юридичної особи на діяльність на підставі мо- дельного статуту. Вказано основні нормативно-правові акти, які регламентують використання модельного статуту в Україні.
DIRECTIONS OF FORMATION AND DEVELOPMENT OF INTELLECTUAL CAPITAL OF THE TOURISM INFRASTRUCTURE ENTITIES
Authors: Білецька Ірина
Published: February 2021

The article is devoted to relevant issues of formation and development of intellectual capital of enterprises that constitute the tourism infrastructure. The purpose of the study is to substantiate the directions and means of formation and development of intellectual capital of the tourism infrastructure enterprises. The author's description of the concept and structure of intellectual capital of an enterprise is given. It is established that intellectual capital of the tourism infrastructure enterprises comprises such basic elements as, first, the company's staff (and their competence characteristics) able to accumulate and generate intellectual creativity, create and commercialize innovations and implement their results in economic practice to form modern logistical and information-technological support for business processes; secondly, the provision of the enterprise with modern equipment and technologies, information, infrastructure for innovation and intellectual-creative activities; thirdly, the extent and effectiveness of the combination of factors of labor and intelligence. It is proved that intellectual capital is a dynamic concept and is close to the intellectual potential. The composition of the tourism infrastructure entities involves tourism companies, accommodation facilities, food facilities, accompanying and communication facilities providing transport, trade, cultural, educational, sports and other services to meet the needs of tourists. The relevance of the formation and use of intellectual capital of the tourism infrastructure enterprises is substantiated. In the current research, the scientific methods of strategic management (for constituting the bases for structuring the purposes of improvement of intellectual capital of the tourism infrastructure enterprises) and the system approach (to substantiation of priorities and tools for improvement of intellectual capital of the tourism infrastructure entities) are applied. The means of formation of intellectual capital of the tourism infrastructure enterprises are determined. Further scientific research in this area concerns the substantiation of economic and mathematical models of intellectual capital using. The practical significance of the research results concerns the ways to increase intellectual capital of the tourism infrastructure and strengthen both the competitiveness and overall economic potential of tourism in Ukraine, which also has a major social effect in meeting the needs of consumers in tourism and recreation services.
The Impact of Introducing a Low Traffic Neighbourhood on Street Crime, in Waltham Forest, London
Authors: Goodman Anna , Aldred Rachel
Published: February 2021

Using police data, 2012-2019, we examine the impact on street crime of introducing low traffic neighbourhoods in Waltham Forest, London. Overall, the introduction of a low traffic neighbourhood was associated with a 10% decrease in total street crime (95% confidence interval 7% to 13%), and this effect increased with a longer duration since implementation (18% decrease after 3 years). An even larger reduction was observed for violence and sexual offences, the most serious subcategory of crime. The only subcategory of crime that increased significantly was bicycle theft, plausibly largely reflecting increased cycling levels. There was no indication of displacement of any crime subcategory into adjacent areas.
PENGURUSAN MEDIA SOSIAL DALAM LANDSKAP PERHUBUNGAN PEKERJAAN
(Managing Social Media in the Employment Relationship Landscape)
Authors: Mohd Nadzri Nazruzila Razniza , Hassan Kamal Halili
Published: February 2021

Media sosial adalah medium interaksi yang sangat berpengaruh di era ‘internet benda’ ini. Kesan sesuatu hantaran di media sosial diketahui umum adalah tidak menentu. Dalam konteks pekerja, mencatat dan membuat hantaran di media sosial boleh mengundang implikasi terhadap perhubungan pekerjaan. Artikel ini mengupas kedudukan hantaran pada media sosial oleh pekerja dari perspektif undang-undang pekerjaan. Perkaitan antara kuasa prerogatif pengurusan, hak privasi pekerja serta tanggungjawab majikan dan pekerja untuk saling mempercayai dan menyakini dianalisis untuk menilai sejauh mana impak tingkah laku pekerja di media sosial kepada kontrak pekerjaan. Objektif berkenaan dicapai dengan menggunakan metodologi doktrinal dan pendekatan analisa yang kritis dan perbandingan. Hasilnya adalah menemukan aspek-aspek yang boleh dipertimbangkan oleh majikan dan pekerja bagi menguruskan penggunaan media sosial supaya tidak menjejaskan perhubungan pekerjaan. Memandangkan tiada penyelidikan khusus tentang isu ini dalam konteks Malaysia, ia berupaya menambah nilai kepada korpus ilmu sedia ada terutamanya dalam perundangan buruh di Malaysia.
A COMPARATIVE STUDY ON LEGAL FRAMEWORKS ON RENEWABLE ENERGY IN MALAYSIA AND INDIA: TOWARDS THE COMMITMENTS UNDER THE PARIS AGREEMENT
Authors: Ghazali Farahdilah , Ansari Abdul Haseeb , Karim Ridoan
Published: February 2021

Climate change has always been an agenda for the international community, individually and collectively, due to global warming and unusual weather conditions. The International Renewable Energy Agency (IRENA) believes that the adequate deployment of clean energy can achieve the targets of the Paris Climate Change Agreement. Many countries have shown their commitment to decrease their carbon emission levels substantially, and they have done so by resorting to renewable energy sources. Renewable energy generation opens a viable door for climate change mitigation efforts. Both Malaysia and India are committed to fulfilling their obligation under the Paris Agreement. This comparative study evaluates the laws and policies related to renewable energy in Malaysia and India, as these countries progress towards their commitments under the Climate Change Convention (UNFCCC). This study operates under the comparative qualitative methodological framework and utilises secondary sources for analysis. Based on the comparative expositions, Malaysia can learn measures adopted by India to accelerate renewable energy development as well as to reduce greenhouse gas (GHG) emission, which will prove beneficial to the country as well as in order to comply with international conventions and agreements.
Freedom Indices and Capital Asset Pricing Model: Some Malaysian Evidence
Authors: Ying Tay Lee , Rasiah Devinaga , Lai Ming Ming
Published: February 2021

Human rights and fundamental freedoms such as economic, political, and press freedoms vary widely from country to country. It creates opportunity and risk in investment decisions. Thus, this study is carried out to examine if the explanatory power of the model for capital asset pricing could be improved when these human rights movement indices are included in the model. The sample for this study comprises of 495 stocks listed in Bursa Malaysia, covering the sampling period from 2003 to 2013. The model applied in this study employed the pooled ordinary least square regression estimation. In addition, the robustness of the model is tested by using firm size as a controlled variable. The findings show that market beta as well as the economic and press freedom indices could explain the cross-sectional stock returns of the Malaysian stock market. By controlling the firm size, it adds marginally to the explanation of the extended CAP model which incorporated economic, political, and press freedom indices
Students’ Perceptions of Reciprocal Teaching in Reading Comprehension Class
Authors: Munandar Surahmat Agus , Aminah Aminah , Arifin Muhammad Ahkam
Published: February 2021

This research aimed to find out the difficulties and the benefits of reciprocal teaching perceived by the students in reading comprehension class, and the strategy in reciprocal teaching that the students prefer the most. This research was qualitative research applying phenomenological approach. The participants of this study were 5 students majoring in English Education Department of Institute Parahikma Indonesia. The data was collected by using semi-structured interview and it was analyzed by using thematic analysis adapted from Given (2018). The result of this study indicated that the difficulties faced by the students are less teacher’s monitoring, students’ interest in learning reading comprehension which makes them bored, self-competence of the students in understanding the text, and the difficulty in unifying their perceptions. The benefits of it that the students perceived are that they become more creative and imaginative, and it is an encouraging method and effective. Furthermore, it can boost their enthusiasm and create collaborative engagement. However in term of the most preferred strategies in reciprocal teaching, most of the students perceived that questioning is the best.
THE INTEGRATION OF ONLINE TEACHING AND LEARNING IN STEM EDUCATION AS A RESPONSE TO THE COVID-19 PANDEMIC
Authors: Mnguni Lindelani , Mokiwa Hamza
Published: February 2021

Science, Technology, Engineering, and Mathematics (STEM) education curriculum and instructional design continuously undergo reforms that aim to prepare learners for the challenges of the 21st century (Hoeg & Bencze, 2017; Pietarinen et al., 2017). In particular, STEM education has adopted strategies that integrate modern technologies in teaching and learning to enhance knowledge construction and application among learners and societies. In some countries, STEM education reforms are fuelled by socio-economic and political imperatives that seek to promote social justice (Mnguni, 2018). More recently, the emergence of the Covid-19 pandemic has forced schools and universities to adopt online teaching methods to reduce the coronavirus's spread. Consequently, researchers are exploring strategies for the incorporation of online teaching and learning methods. The effectiveness of these strategies and their impact on the students' conceptualization of STEM knowledge, its application, and relevance are continuously being investigated.