bluuebunny/crossref_metadata_2025 huggingface dataset:
Electroconvulsive therapy and autobiographical memory in patients with treatment-resistant depression
Authors: Napierała Maria , Bodnar Anna , Chlopocka-Wozniak Maria , Permoda-Osip Agnieszka , Rybakowski Janusz
Published: July 2019

Cel pracy

Terapia elektrowstrząsowa (EW) jest najskuteczniejszą metodą leczenia depresji lekoopornej. W większości badań wykazano, że funkcje poznawcze, w tym pamięć operacyjna i semantyczna, ulegają jedynie przejściowemu upośledzeniu po EW. Jednakże deficyty pamięci epizodycznej (autobiograficznej) okazały się długotrwałe.

Metoda

Badaliśmy pamięć autobiograficzną u 20 chorych (8 mężczyzn, 12 kobiet), w wieku 21-64 lat, z depresją lekooporną, leczonych EW, stosując polską adaptację Autobiographical Memory Interview-Short Form (AMI-SF). Ocenę przeprowadzono przed, bezpośrednio po 10-12 sesjach EW, a następnie po 3 miesiącach.

Wyniki

Przed EW średnie nasilenie depresji wynosiła 30±6 punktów w 17-itemowej skali oceny depresji Hamiltona, a leczenie spowodowało znaczną poprawę kliniczną u wszystkich pacjentów. Wskaźniki pamięci autobiograficznej ocenione przy pomocy AMI-SF były znacznie obniżone od razu po EW i po upływie 3 miesięcy. Deficyt pamięci autobiograficznej nie wykazywał korelacji z poprawą kliniczną i innymi wskaźnikami klinicznymi.

Wnioski

Wyniki uzyskane u pacjentów z depresją lekooporną potwierdzają, że leczenie EW powoduje istotne upośledzenie pamięci autobiograficznej, utrzymujące się również po trzech miesiącach od zabiegów, co wskazuje, że może być to najważniejsze poznawcze działanie niepożądane terapii EW.
Bipolar disorder and identity. Systematic review
Authors: Dyga Krzysztof
Published: July 2019

Artykuł powstał z zamiarem wypełnienie luki w polskim piśmiennictwie psychiatrycznym, w którym nie znalazło się dotąd miejsce na analizę fenomenu choroby afektywnej dwubiegunowej (ChAD) pod kątem konsekwencji, jakie może ona mieć dla tożsamości osób nią dotkniątych. W tym celu, i w związku z nieobecnością badań w warunkach polskich, podjęto próbę odnalezienia wszystkich dotychczasowych doniesień na ten temat w anglojęzycznych czasopismach fachowych i monografiach. W rezultacie dokonano szczegółowego opisu i opatrzono komentarzem pięć gruntownych badań o zasadniczo jakościowym charakterze. Jakkolwiek „tożsamość” operacjonalizowana była w każdym z nich nieco odmiennie, to każdorazowo odpowiadała pytaniu „kim jestem?”, zarówno pod względem fenomenologicznym, przejawiającym się najczęściej w utracie poczucia ciągłości, jak i poznawczym, związanym z kluczowymi elementami obrazu siebie. Przedstawione badania ujawniły szereg zagrożeń dla tożsamości, mniej lub bardziej specyficznych dla ChAD. Charakter tych badań nie pozwala na generalizację ich wyników, ani na odpowiedź na pytanie o skalę zjawiska. Z drugiej strony, względne podobieństwo tych wyników ujawnia niedostrzegane dotąd trudności, potencjalnie częste i istotne dla bardziej całościowego rozumienia i terapii osób z diagnozą ChAD, dla której implikacje zestawiono w końcowej części tekstu.
Psychosis in Borrelia burgdorferi infection – part II: case reports
Authors: Brodziński Szymon , Nasierowski Tadeusz
Published: July 2019

W części II artykułu przedstawiono opisy przypadków trojga pacjentów, którzy byli leczeni z powodu zakażenia krętkami Borrelia, i u których wystąpiły zaburzenia psychotyczne. Przebieg zaburzeń u każdego z pacjentów był inny. Odmienny był także stopień prawdopodobieństwa istnienia związku przyczynowego między neuroboreliozą a zaburzeniami psychotycznymi.
Pierwszy przypadek opisuje dotychczas nieleczoną psychiatrycznie pacjentkę, u której zaburzenia psychotyczne wystąpiły na skutek neuroboreliozy i ustąpiły po zastosowaniu leczenia antybiotykami.
Drugi przypadek dotyczy pacjenta, który był uprzednio dwukrotnie hospitalizowany psychiatrycznie z powodu zaburzeń psychotycznych. W trakcie kolejnego pobytu w oddziale psychiatrycznym wysunięto podejrzenie neuroboreliozy. Uzyskano poprawę stanu psychicznego po zastosowaniu antybiotykoterapii równolegle z leczeniem przeciwpsychotycznym. Bezpośredni związek przyczynowy między neuroboreliozą a psychozą nie jest jednoznacznie potwierdzony w tym wypadku.
W trzecim przypadku opisano pacjenta pierwotnie leczonego z powodu neuroboreliozy i kleszczowego zapalenia mózgu, u którego w trakcie pobytu w szpitalu zakaźnym rozwinął się pierwszy w życiu epizod manii z objawami psychotycznymi. Drugi epizod zaburzeń psychotycznych wystąpił po pogryzieniu przez kleszcze i po szczepieniu przeciwko kleszczowemu zapaleniu mózgu. W tym wypadku, na skutek współistnienia wielu czynników, pojawiają się liczne trudności w ocenie związku między boreliozą a epizodami manii z objawami psychotycznymi.
W nawiązaniu do części I artykułu, omówiono wątpliwości diagnostyczne, proces różnicowania oraz stopień prawdopodobieństwa istnienia związku przyczynowo-skutkowego między boreliozą a wystąpieniem objawów psychotycznych w każdym z opisanych przypadków.
Disturbances of purinergic system in affective disorders and schizophrenia
Authors: Malewska-Kasprzak Magda , Permoda-Osip Agnieszka , Rybakowski Janusz
Published: July 2019

Układ purynergiczny odgrywa rolę w regulacji wielu procesów psychicznych, w tym nastroju i aktywności. W jego skład wchodzą receptory P1, których agonistą jest adenozyna oraz receptory P2 aktywowane przez nukleotydy (m.in. adenozynotrifosforan-ATP).
Postulowane zaburzenia w zakresie kwasu moczowego w chorobach afektywnych miały związek z wprowadzeniem litu do leczenia tych chorób w XIX i XX wieku, natomiast w początku XXI wieku zgromadzono nowe dowody na rolę kwasu moczowego w patogenezie i leczeniu choroby afektywnej dwubiegunowej (CHAD). Wykazano większe rozpowszechnienie dny i wyższe stężenie kwasu moczowego u pacjentów z CHAD oraz terapeutyczne działanie w manii allopurinolu, stosowanego jako dodatek do leków normotymicznych.
W ostatnich latach badania nad rolą układu purynergicznego w patogenezie i leczeniu chorób afektywnych i schizofrenii skupiają się na roli receptorów adenozynowych (P1) i nukleotydowych (P2) Aktywacja receptorów adenozynowych związana jest z działaniem przeciwdepresyjnym. W patogenezie chorób afektywnych. mają również znaczenie zmiany w zakresie receptorów P2. Rola układu purynergicznego w schizofrenii jest związana z wpływem receptorów adenozynowych i nukleotydowych na przekaźnictwo dopaminergiczne i glutaminergiczne. Wiele danych wskazuje, że w schizofrenii mamy do czynienia z deficytem układu adenozynowego. Zmiany w zakresie układu purynergicznego mają również znaczenie w powstawaniu objawów psychopatologicznych schizofrenii oraz działaniu leków przeciwpsychotycznych.
Determining optimal locations for urgent care centres in Cornwall using computer modelling
Authors: Chalk Daniel
Published: July 2019

Background/Aims

Urgent care centres provide a broad range of services in comparison to minor injury units. In order to establish new urgent care centres, the Sustainability and Transformation Partnership in Cornwall aimed to identify the optimal number and location for these centres, which could then help to reduce the volume of patients attending emergency departments.

Methods

A computer model that calculated average and maximum travel times, along with number of attendances, for over 4000 potential urgent care centre geographic configurations, was developed. The model predicted that establishing five urgent care centres would significantly minimise travel times for patients across the county. The model also predicted the locations for these centres that would minimise average travel times.

Results

The results from the model were used to directly inform a decision made by the Sustainability and Transformation Partnership.

Conclusion

The first urgent care centres in Cornwall, at Treliske, Bodmin Community Hospital and West Cornwall Hospital, were established in 2018. The urgent care centre in West Cornwall is now accepting patients; the two other sites are still under construction.
What has been achieved a year since Bercow: Ten Years On?
Authors: Hancock David
Published: July 2019

An independent review of provision for children and young people with speech, language and communication needs in England was published in March 2018. David Hancock reports on progress with the recommendations
Internet Addiction in Kurdistan University Students: Prevalence and Association with Self-Control
Authors: Babakr Zana H. , Majeed Kamaran , Mohamedamin Pakstan , Kakamad Karwan
Published: July 2019

This study aims to reveal the prevalence of internet addiction among Kurdish university students and its association with self-control. 623 students form 19 universities in various colleges and schools, 335 boys (54 %) and 288 (46%) girls took part in this study in which they were asked to complete an internet addiction and self-control self-report. The findings indicated that the prevalence of internet addiction among Kurdish university population is very high, concluding that 36.5% of the participants met the internet addiction criteria. In addition, it was found that males and females are equally susceptible to becoming addicted to the internet. The results also showed that internet addiction correlates negatively to the self-control and positively with impulsive behaviour. Based on the regression analysis, 15.7% of the variance of internet addiction can be explained by self-control. Further study should investigate the effect of internet addiction on discomfort intolerance.
Toward Bridging the Advertising Academician–Practitioner Gap
Authors: Brinson Nancy H. , Adams Melissa B. , Wilcox Gary B.
Published: July 2019

Abstract: Observers have long recognized the unfortunate gap between the interests and priorities of those who study advertising versus those who practice it. This long-standing separation, commonly referred to as the academician–practitioner gap, is deemed to be detrimental to both groups, and is considered significantly larger within the ranks of advertising as compared to other fields. Building on the work of Nyilasy and Reid (2009), the current study utilizes a two-step textual and content analysis of the proceedings from advertising's two flagship conferences—the American Academy of Advertising (3As) and the American Association of Advertising Agencies (4As)—from 2010 to 2015 to identify potential changes in dissemination, as well as differences in knowledge content and form between the two groups. Results indicate there continues to be a sizable gap between academicians and practitioners in terms of topics of interest, the method and frequency of knowledge dissemination, as well as in the format and authorship of content. Recommendations on how to improve the flow of communication between academicians and practitioners, thus making knowledge creation more interdependent and reciprocal, are also suggested.
Roundtable on Masculinities and Advertising, Part I
Authors: Bui Dzu , Gottfried Barbara , Katz Jackson , Serazio Michael , Smulyan Susan , Thomas Kevin D. , Weston Brian , O'Barr William M. , Timke Edward
Published: July 2019

Abstract: In the last few years, masculinity has become an especially important topic among scholars and advertisers. To contribute to this conversation, Advertising & Society Quarterly assembled a group of leading advertising practitioners, scholars, and activists in Boston for a roundtable on masculinities and advertising. Part I of the Roundtable on Masculinities and Advertising covers the following topics: Gillette's recent "We Believe" ad campaign; advertising's role in linking gender to sports and consumer products; fathers in advertising; the rugged, individualistic Marlboro Man; superheroes; the cultural meaning of shaving; the relationship between advertising and culture; and the phrase "boys will be boys."
Author Meets Critics: Comparative Advertising: History, Theory, and Practice
Authors: Beard Fred , Chambers Jason P. , Coleman Catherine A. , Howald Rachel , Timke Edward
Published: July 2019

Abstract: This Author Meets Critics conversation focuses on Fred Beard's book Comparative Advertising: History, Theory, and Practice (Lexington Books, 2018). Beard meets with three advertising scholars and a leading creative executive to discuss the following topics: comparative advertising types, the history of comparative advertising, comparative advertising's effectiveness, the regulation of comparative advertising in politics, comparative advertising and social media, consumer responses to social media, changing definitions of advertising, the future of satire and humor in comparative advertising, how comparative advertising brings people together and apart, and best practices in using comparative advertising.
Conference Spotlight—University of Oregon's 2019 Collective Brief: Brand Impact and Purpose Flex
Authors: Kim Travis , Sheehan Kim , Morrison Deborah , Bullas Brandon , Round Cynthia , Prime Sophie-Marie
Published: July 2019

Abstract: This article is Advertising & Society Quarterly 's first Conference Spotlight, which will be an occasional feature that highlights an important conference or meeting related to advertising's place in society, culture, history, and the economy. This first Conference Spotlight presents the 2019 Collective Brief: Brand Impact and Purpose Flex conference, which was hosted by the University of Oregon's Advertising and Brand Responsibility Master's Program and 72andSunny, Los Angeles. At this meeting, advertising professionals, students, and academics gathered together to share experiences and highlight issues regarding the development of brand responsibility. The Spotlight consists of three parts: a conference summary, a presenter's thoughts about the conference, and an attendee's reflection about what the meeting covered. The summary highlights the day's events, speakers, key insights, and important takeaways about responsibility-oriented messages in advertising and marketing communication and the future of social responsibility, diversity, and brand purpose communications.
Siblings Diagnosed With Primary Neuroendocrine Tumor of the Left Hepatic Duct
Authors: Dayan Aviel , Ricci Claudio , Campana Davide , Santini Donatella , Fughelli Patrizia , Minni Francesco , Nardo Bruno
Published: July 2019

Primary left hepatic duct neuroendocrine tumors are extremely rare. We describe 2 cases of siblings, a 51-year-old brother and a 48-year-old sister, who were both diagnosed with primary left hepatic duct neuroendocrine tumor. Both patients underwent successful left hepatectomy and are both alive with no recurrence. For this rare malignancy, while definitive diagnosis is made only by histopathology, a margin-free surgical resection remains the only curative treatment modality to date.
Chemotherapy-Induced Sclerosing Cholangitis Caused by Systemic Chemotherapy
Authors: Kusakabe Akira , Ohkawa Kazuyoshi , Fukutake Nobuyasu , Sakakibara Mitsuru , Imai Toshihiro , Abe Yutaro , Takada Ryoji , Ikezawa Kenji , Nawa Takatoshi , Ashida Reiko , Kimura Toshihiro , Nagata Shigenori , Katayama Kazuhiro
Published: July 2019

A 61-year-old woman diagnosed with cervical cancer received systemic chemotherapy using paclitaxel and bevacizumab. Marked elevation of liver enzyme levels was observed. Ultrasonography and computed tomography showed wall thickening of the extrahepatic and intrahepatic bile ducts accompanied by stricture and dilatation. According to these, she was diagnosed as chemotherapy-induced sclerosing cholangitis (CISC), a form of secondary sclerosing cholangitis. Although CISC triggered by systemic chemotherapy is rare, CISC should be considered as a clinically important adverse event of chemotherapy because it causes rapid deterioration of liver function and necessitates interruption of chemotherapy.
Gut microbiota in obese patients and after bariatric surgery
Authors: Egshatyan Lilit V. , Kushkhanashkhova Dana A. , Ermilova Ekaterina S. , Askerkhanov Rashid G.
Published: July 2019

In this review are discussed experimental and clinical data about the role of gut microbiota and its changes after bariatric surgery. To date, bariatric surgery represents the only treatment that enables substantial and sustained weight loss.
The large intestinal microbiota plays an important role in normal bowel function and the maintenance of host health through the formation of short chain fatty acids, modulation of immune system reactivity, and development of colonization resistance. The intestinal microflora is a peculiar indicator of the condition of a microorganism reacting to age, physiological, dietary, and geographical factors from change of qualitative and quantitative structure. Studies have demonstrated that obesity and metabolic syndrome may be associated with profound microbiotal changes. This Review outlines the potential mechanisms by which the major changes in the digestive tract after bariatric surgery can affect the gut microbiota.
Influence of end user development on software project estimation
Authors: Srivastava Archana , K. Singh Dr. , Syed Qamar Abbas Dr
Published: July 2019

Use Case Point Method (UCP) is used to estimate software development effort. UCP uses a project’s use cases to produce a reasonable estimate of a project’s complexity and required man hours. Advance Use Case Point Method (AUCP) is an extension of UCP. AUCP extends UCP by adding the additional effort required in incorporating end user development (EUD) features in the software for overall project effort estimation. Today user needs are diverse, complex, and frequently changing hence need of EUD is also increasing. EUD features if incorporated in the software increases end user satisfaction exponentially but incorporating EUD features increases design time complexity and increases the effort significantly based on the end users requirements. This paper provides a case study to demonstrate the comparative analysis of UCP and AUCP using paired t-test. It also observes that there can be on an average 20% increase in overall effort of development on adding EUD features.
A novel method to detect foreground region using morphological operations with block based enhancement for underwater images
Authors: Sudhakar M , Janaki Meena M
Published: July 2019

Automation of detecting the Foreground Region (FR) or Shape of the object is essential in several computer vision, object recognition applications and poses several challenges in case of underwater images. Although Synthetic Sonar Images produce better quality images scattering of light, color distortion and poor lighting conditions are the few characteristics that effects the natural scene of the captured image. A novel technique for extracting the foreground region from a low quality underwater image is presented in this paper. We have decomposed the image in to multiple levels based on discrete wavelet transforms (DWT) for improving the sharpness or to reduce the fogginess in the image in order to get the clear image. Subsequently, to determine the sharpness of the local patches in the image a block based SSI algorithm is presented. Finally, the segmentation is performed by computing the binary gradient mask with the Sobel edge detection algorithm along with morphological operations. The proposed method is fast, extracting the accurate foreground regions and also detect the smallest particles present in the image. The results are qualitatively compared with the improved fuzzy c-means clustering (FCM), Otsu’s Threshold and FCM thresholding by considering the static background images.
Multi-Objective Approach for Optimal DGPV Location and Sizing
Authors: A. Syed Mustaffa S , Musirin I , M. Othman M , A. Shaaya S , K. Mohamad Zamani M
Published: July 2019

The advancement of renewable technology has attracted utility and company to integrate and produce energy for a cleaner environment. The attractive policy from the government also gave the opportunity to adopt the technology recently. The Distributed Generation Photovoltaic (DGPV) integration into the grid is an advanced technology to produce electricity without polluting the environment. Besides providing the green technology, it can also enhance the voltage profile and minimise the transmission losses. However, this depends on the location and the sizing of the DGPV. In this paper, the location and sizing of DGPV are deduced using multi-objective Chaotic Mutation Immune Evolutionary Technique (MOCMIEP) technique. The proposed method determines the optimal location and sizing of DGPV and to improve the losses and FVSI simultaneously. FVSI is a pre-developed voltage stability index based on the line in the power system. The method was tested on the power transmission system of IEEE 30-Bus and IEEE 57 -Bus Reliability Test System (RTS). The results demonstrate the ability of the proposed method to generate the Pareto optimal solutions of the multi-objective problems and come out with the best compromise solution.
Open-Circuit Fault Detection Technique for Fault-Tolerant Bridgeless Boost Rectifier
Authors: K Abdul Razak R , S Muhammad K , Baharom R , M I Mamat A
Published: July 2019

Unexpected failure in one of the switches in a converter will lessen the performance of a system and may even prompt to a system failure. Therefore, to reduce the failure rate and to prevent unscheduled shutdown, a real-time fault detection is necessary. In this paper, a new technique to identify the exact location of the faulty switch based on single-phase bridgeless boost converter is proposed. The faulty switch is detected by analyzing the boost inductor current, switching mode and cycle of the input power supply. The information of the faulty switch will be used to redirect the current to any available path. Therefore, an uninterruptable and reliable power supply could be developed. The analysis of the proposed fault detection scheme is done by using PSIM simulation software.
Loss Minimization in Optimal Reactive Power Planning (ORPP) Based on Whale Optimization Algorithm
Authors: Hakimin Nasru Muhammad , Musirin Ismail , Khairuzzaman Mohamad Zamani Mohamad , Rafidah Abdul Rahim Siti , Hatta Hussain Muhamad , Suyono Hadi
Published: July 2019

The key of RPP is the optimal allocation of reactive power considering location and size. This paper presents the loss minimization in optimal reactive power planning (ORPP) based on Whale Optimization Algorithm (WOA). The objective is to minimize transmission loss by considering several load conditions at bus 3, bus 15 and bus 21. Reactive Power Scheduling (RPS) and Transformer Tap Changer Setting (TTCS) were set as the control variables. Validation was conducted on the IEEE 30 Bus RTS. Results from the study indicate that the proposed WOA can minimize transmission loss better than Evolutionary Programming (EP).
Uniaxial Tensile Simulation of 3D Orthogonal Woven Fabric
Authors: M.F Yahya , S.A Ghani , B Zahid
Published: July 2019

Mesoscale modelling approach has shown close simulation approximations of woven fabric tensile performance. The main purpose of the work is to develop understanding of geometrical model development, finite element analysis procedure and to compare the differences of 2D and 3D woven fabric uniaxial tensile stress-strain. 3D woven fabric structures selected for the work is three-layer orthogonal woven fabrics. The woven structure will have 2 through-thickness warps, 4 non-crimps warp and 6 wefts. Through-thickness warp yarn will apply plain 1/1 weave structure for stitching all weft layers and non-crimps weft yarn together. Woven geometric models were developed with pre-processor program at detail yarn configurations. Simulation results showed that 3D orthogonal woven fabric had a better tensile response than its 2D woven fabric structures.
Migration Processes in the Trans-Dniester Region of the Republic of Moldova and Their Impact on the Socio-Economic Situation
Authors: A. Chebanova Lydia , A. Novikova Lyudmila , K. Ushakova Lyudmila , A. Karnilovi Irina
Published: July 2019

The purpose of the study is revealing the content and causes of migration processes in Trans-Dniester Region and their impact on the socio-economic situation in the region. From this perspective the main objectives of the study consisted in disclosing the reasons of considerable population outflow over the past two decades, the study of the peculiarities of different forms of migration in Trans-Dniester Region, identifying trends in migration of population, regulation of the migration mechanism at the present stage, the assessment of the current system of migration flows accounting in Trans-Dniester Region and the definition of its optimization directions. Particular attention is paid to the consideration of the migration scale and the main areas of emigration. The loss of immigration attractiveness of the region and outflow of highly qualified young and active population from Trans-Dniester Region causes a steady reduction in the population, creates a significant imbalance in the demographic structure of the population (in terms of age and profession). Besides, the Trans-Dniester Region turned out to be actively involved in migration processes due to its relative geographical proximity to both Russia and the EU countries. Currently, the predominant role is played by labor migration.
Agricultural Markets’Analysis and Forecasting on the Base of Fractal Price Cycles Modelling
Authors: Iurkova Marina , Lihovtsova Еlena , Evsukova Ludmila , Sadovnikova Еlena
Published: July 2019

The article is devoted to the agricultural markets’ analysis (grains and sunflower) as an integral system having its peculiarities which make it different from other markets. These specific features are connected with heterogeneity of participants following various aims and working in different investment horizons, as well as seasonal functioning of this market. The calculations have been given proving the E. Peters’ hypothesis on the presence of fractal agricultural markets. The research adjusts the use of the fractal markets’ analysis results in creating agrarian markets models and the possibility of forecasting its participants’ and prices behavior taking into consideration models’ data simplification.
Dynamics of Goals and Methods of Forecasting Social Phenomena and Processes
Authors: Zakharovna Michurina Frida , Vyacheslavovich Klimov Dmitriy
Published: July 2019

The article shows the differentiation of new directions of forecasting, differing in goals and methods of implementation. The first direction reflects the formation of private forecasts and the selection of necessary innovations on their basis. The second one is due to the formation of globalization processes, reflects the need to take into account their influence and serves to make decisions in the field of economic policy. The third direction of predictive research is based on studying the living conditions of the population and aimed at achieving social well-being. The methodological approach combining extrapolation and standards (of the need and potential) in the process of forecasting is positioned in the article as appropriate.
High-Performance Finned Tubes for Production Facility Heating Systems
Authors: A. Usenkov Roman , . .
Published: July 2019

The values of the optimal height of the ribs and their optimal placement step on the surface of the heating device are determined. It was possible to determine that the installation of rectangular rods with a step of 8.2 mm on the surface at an angle of 90 degrees to the horizon, leads to an increase in the local coefficient of convective heat transfer to 200% compared to the surface on which there are no rods. It was found that the simplex   acts as a separate parameter that affects the local coefficient of convective heat transfer on a surface with rectangular bars.
Teaching Reading And Counting In Salah: Experiences Of Muslim Caregivers Of Down Syndrome Children In Selangor
Authors: Binti Abdul Rahman Amira , Suraya Mohamad Fitri
Published: July 2019

Children born with Down Syndrome face difficulty in reciting daily prayers as they are born with cognitive disabilities which affect the process of acquiring reading and counting skills.  Although in Islam, these children are not required to perform Salah, the strong cultural family norms among Malay Muslims in Malaysia create an expectation of them to participate in Salah as part of their daily routines. This study examines the experiences in teaching Down Syndrome children how to read and count in Salah among Muslim family caregivers in the state of Selangor, Malaysia. The study also investigates best practices to facilitate a Down Syndrome child to perform daily religious prayers that involves the skills of reading and counting. Case study method is deployed to examine responses from three informants who voluntarily participated in this study. The study uses non-probability sampling to acquire accurate and realistic conceptions from caregivers who are actively working with their respective Down Syndrome children. Findings from the study revealed a high tendency among caregivers to use repetition in the learning process, and to create an environment where the Down Syndrome children can imitate the actions done and words spoken when performing the Salah. The use of rewards is also found to be useful and effective to motivate and encourage Down Syndrome children to learn to cognitive tasks for Salah.
Fitting Statistical Distribution on Air Pollution: an Overview
Authors: Ismail Jaffar Muhammad , Abdul Hamid Hazrul , Yunus Riduan , Fauzi Raffee Ahmad
Published: July 2019

High event of air pollution would give adverse effect to human health and cause of instability towards environment. In order to overcome these issues, the statistical air pollution modelling is an important tool to predict the return period of high event on air pollution in future. This tool also will be useful to help the related government agencies for providing a better air quality management and it can provide significantly when air quality data been analyze appropriately. In fitting air pollutant data, statistical distribution of gamma, lognormal and Weibull distribution is widely used compared to others distributions model. In addition, the aims of this overview study are to identify which distributions is the most used for predicting the air pollution concentration thus, the accuracy for prediction future air quality is the important aspect to give the best prediction. The comprehensive study need to be conducted in statistical distribution of air pollution for fitting pollutant data. By using others statistical distributions model as main suggested in this paper.
Characterization of Car Wash Wastewater from Manually dispersed, Snow and Auto Car Wash Stations
Authors: Shahrul Shafendy Bin Ibrahim Muhammad , Haslina Hashim Nor
Published: July 2019

Although commonly perceived lightly in the eye of public, car wash wastewater should be taken more seriously as they have the tendency to be harmful and toxic not only towards the environment, but also humans. In this study, car wash wastewater samples were taken from three stations in Johor with different cleaning methods; manually-dispersed car wash (MCW), snow car wash (SCW) and auto car wash (ACW). At each station, samples were taken during the initial rinsing (IR), and final rinsing (FR) of the vehicles. The samples taken were analyzed for its pH, chemical oxygen demand (COD), biological oxygen demand (BOD), oil and grease (O&G), total suspended solids (TSS), anions (anionic surfactant, nitrate, sulphate, chloride, fluoride, orthophosphate) and heavy metals (iron, zinc, magnesium, chromium, manganese, copper, lead, silver). The results obtained shows that there appears to be no specific pattern to differentiate between the IR and FR samples due to the different washing methods, chemicals and equipment used. The level of contamination of the car wash wastewater was SCW>MCW>ACW. Overall, the result shows that some of the samples did not pass the standard discharge limit; pH, COD, BOD, O&G, TSS, AS and Fe. This shows that car wash wastewater produced in the cleaning activities should be given more concern and need to be treated before being released to the water body.
Financial Impact and Causes of Chronic Musculoskeletal Disease Cases in Malaysia Based on Social Security Organization of Malaysia Claims Record
Authors: Zainal Abidin Norsheila , Mohd. Rohani Jafri , Nadia  Nordin Athirah , Md. Zein Raemy , Satik anak Ayak Augeny
Published: July 2019

This paper analyzed total direct cost that is paid by the Social Security Organization of Malaysia (SOCSO) to the Malaysian workers due to musculoskeletal disease. The objectives of this study are 1) to determine the total direct costs incurred as a result of cases of chronic musculoskeletal injuries that was approved by SOCSO from 2009 to 2014 and 2) to examine the age category imposed for the total average cost of the highest MSDs claims for the four categories setting. The data provided by SOCSO on occupational diseases and adopt the top-down approach which includes of 416 claims reported between 2009 and 2014. The categories recorded are the highest total direct cost for types of industries, types of injury, causes of accident and type of body parts. The age claimant is then identified from total average cost earned from the highest total direct cost of the four categories. Manufacturing industry, strenuous movement, sprain and strain and back are recorded as highest total direct cost with the cost of RM 5,181,282.34, RM 7,088,839.51, RM 8,753,975.13, and RM 5,526,590.69, respectively. The age group of 35 – 44 years is recorded as the highest total average cost of these four parameters. This study will provide the basis for future studies and intervention on MSD related injuries in working environment in Malaysia.
Is Spiritual Intelligence no Longer Relevant on Business Performance?
Authors: Saad Mazni , Husain Rosita , Mahayuddin Nafiza , Ahmad Aznita , Muthu Kumarasamy Mokana
Published: July 2019

The current study was to examine the mediating role of Spiritual Intelligence (SQ) in engaging employees at the workplace. Particularly, this study aimed to at investigating the SQ in the relationship between practices and business performance among the food handlers. The main objective of this research is to examine the mediating effect of the SQ on the business performance (food, services, and atmosphere). Four main SQ dimensions from the ISIS measurement scale were used as a basis to collect the data. A total of 816 data was collected from the food handlers from different government’s off-premises. Analyzed with the Smart PLS, the analysis showed that SQ mediated the relationship between practices and business performance in these three areas. In assessing the structural model estimate, the results of analysis revealed that the direct effect is statistically difference from zero (β_c≠0). Thus, rejected the null hypothesis β_c=0 with a statistically significance showed that there is a mediating effect on the relationship between practices and business performance. The discussion is made in explanation of these results within the context of other researches and suggestions for further research.
Studies on Closed-loop Interaction in a Multi-loop Single Tank Control System
Authors: Chourdhary Abhijeet , Jain Amit
Published: July 2019

This paper investigates the interaction between level and flow loop in a single tank system. The data generated is used to generate all transfer functions via step test method. The model generated is then simulated on MATLAB-Simulink and the obtained results are then compared with experimental results for verification. A Relative Gain Array analysis is performed to check the interaction and comment on the pairing.
Equilibrium Molecular Dynamics Investigation of Fluid Slip in Nanoscale Channels
Authors: Daniel Mathews , S Babu Jeetu
Published: July 2019

Interfacial hydrodynamic slip is an importantfactor while considering fluid flow through nanochannels. Various studies have been done both in NEMD and EMD to study the fluid slippage over solid surface. Molecular Dynamics Study of Fluid Solid Interfacial Slip and its Effect on Aerodynamic Drag[1] is one such example where dependence of slip and the drag properties are studied. In this paper we try to examine different types of surface roughness affects the fluid slip with MD simulation of poiseuille flow.
Enhancement of Plant Monitoring Using IoT
Authors: Pravin A , Prem Jacob T , Asha P
Published: July 2019

Agriculture is the backbone of our country; most of the people depend on agriculture. The main issue in agriculture is water scarcity. The water resource is not used in an effective manner, so the water is wasted. In order to overcome this irrigation process can be automated. The use of Internet of things in this field will be helpful to reduce the wastage of water. So that the temprature as well as humidity and light are measured by means of sensors and depend up on the outcome further processing can be performed. We propose a system that will capture all the details about the soil and the temprature by means of different sensors. The sensed information will be send to the processor and depends up on the outcome the alert message will be passed and the appropriate amount of water will be released to the crop. And the further information related to the fertilizer quantity and whether there is any set of serious attack on the crop that will also be identified by the system. The advantage of this system will be finding the current issues in terms of soil condition, humidity and crop condition and the information will be immediately passed to the farmers.
Interactive Natural Image Segmentation and Foreground Extraction
Authors: David Solomon Raju Y , Krishna Reddy D
Published: July 2019

Interactive image segmentation is very practical and important problem in computer vision.  In this paper a regressive based Green’s function is employed to formulate the problem of segmentation. The method is incorporated with different clustering approaches intended to extract the foreground regions from the natural images. The method performance is improved with proper labeling of foreground and background regions, and with more number of cluster regions. The method is evaluated with two standard benchmark datasets and found that the experimental results were promising.
Simulation of Fuel Cell Technology Using Matlab
Authors: Sheebha Jyothi G , Bhaskar Rao Y
Published: July 2019

This paper represents a mathematical model for proton exchange membrane fuel cell(PEMFC)system. Proton exchange membrane fuel cell (also called polymer Electrolyte Membrane fuel cells(PEM)) provides a continuous electrical energy supply from fuel at high levels of efficiency and power density. PEMs provide a solid, corrosion free electrolyte, a low running temperature, and fast response to power.
Arduino Object Follower with Augmented Reality
Authors: Prem Jacob T , Pravin A , Asha P
Published: July 2019

This research works we use augmented reality SDK to find the walls and ceilingwhich it sends back to your workstation giving you a digitalrepresentation of your environment.This research work utilizes an Arduino robot running an ESP- 8266 Node MCU that conveys with anandroid mobile phone. The android mobile run an application made in the computer game application Unity 3D. The robot will follow an object using Vuforia's client targets so you can make a trackable object at runtime as long as it has sufficient feature points. We have used the Apple's ARkit for identifying the horizontal and vertical planes.
Wireless Sensor Based Monitoring System for Forest Tree Poaching and Fire Using Iot
Authors: Arulstephen C , K. Raghulsharma R , Ebenezer Abishek B , Satish Kumar P
Published: July 2019

Forest tree poaching is a serious threat to forest resource and has an impact on the environment hence preservation of trees is a  must for mankind .This paper mainly aims at monitoring the trees using Micro –Electro mechanical system(MEMS) technology and employing vibration sensor , sound sensor, fire sensor. The vibration produced while cutting of trees using MEMS accelerometer is sent through Zigbee to the main server and the location is detected using GPS likewise if fire is detected the information is sent through IoT and it can be viewed by forest ranger hence alert message is sent to detect and avoid poaching of trees and fire in forest.
Opinion Mining Embedding with Applications to Opinions
Authors: . Pavani , V. Anbazhagu U , . Bhavadharani , Latha M , Senthil J
Published: July 2019

The main objective of this project, we portray strategies to consequently create and score another estimation vocabulary, called sentimental analysis. Sentimental analysis is the one of the real errands of machine learning processing. Individuals post their own emotions and contemplating any items for an internet business website, (for example, Amazon, Flip card etc).sometime individuals needs to know whether these posts are positive, negative or unbiased. Existing word inserting learning calculations regularly just utilize the settings of words yet disregard the assumption of writings. Now we are applying enclose to word level assumption and stepwise level supposition arrangement, and estimation vocabularies. Information utilized as a part of this study are online item data sets are gathered from amazon.com. Experiments for both sentence-level and word-level are performed.
Security Issues in Cloud Computing and Existing Solutions- a Survey
Authors: Revathi M , Priya R
Published: July 2019

Cloud computing is turning into an outstanding fluff word these days. It is an appealing innovation for long-haul benefits through cost diminishment and change in business results. It additionally tackles numerous issues of stereotyped processing, including taking care of more volume of burdens, introducing programming updates, and, utilizing overabundance figuring cycles. Regardless, the contemporary advancement has new troubles, for instance, data security, information inborn, and trans-code data storing. Cloud computing is consumed and compared to the modern transformation. Cloud administrations are conveyed from server farms, for example, Amazon, Google, Microsoft et cetera, all through the world. The quick blast in the territory of "Cloud computing" moreover expands outrageous wellbeing concerns. This paper review cloud structure and the monstrous evaluation of Cloud computing with the essential consideration on holes and security issues. We perceive the best security dangers and their present arrangements.
A Novel Approach for Efficient Forgery Image Detection Using Hybrid Feature Extraction and Classification
Authors: Clara Shanthi G , Cyril Raj V
Published: July 2019

Image forgery detection is developing as one of the major research topic among researchers in the area of image forensics. These image forgery detection is addressed by two different types: (i) Active, (ii) Passive. Further consist of some different methods, such as Copy-Move, Image Splicing, and Retouching. Development of the image forgery is very necessary to detect as the image is true or it is forgery. In this paper, an efficient forgery detection and classification technique is proposed by three different stages. At first stage, preprocessing is carried out using bilateral filtering to remove noise. At second stage, extract unique features from forged image by using efficient feature extraction technique namely Gray Level Co-occurance Matrices (GLCM). Here, the GLCM improves the feature extraction accuracy. Finally, forged image is detected by classifying the type of image forgery using Multi Class- Support Vector Machine (SVM). Also, the performance of the proposed method is analyzed using the following metrics: accuracy, sensitivity and specificity.
Sriden - Self Assurance Report Based Interloper Detection and Elimination in Adhoc Network
Authors: Vijitha S , Bhavani S
Published: July 2019

Ad Hoc network connections with mobile nodes and its individual uniqueness like lively topology, multi-hop communications and simple network setup, faced plenty of confronts in routing, and security issues. The security disputes arise due to wireless self-arrangements and self-protection competence. In the background of ad hoc networks, there is an added motivation for keeping network with protective and consistent data transmission in order to extend network lifetime. As proposed, network security is improved by watching and eliminating the interlopers. In addition, to maximize throughput, minimizing delay may help to reduce the net loss.
Sybil Attack Detection Based on Authentication Process Using Digital Security Certificate Procedure for Data Transmission in MANET
Authors: Muthusamy P , Sheela T
Published: July 2019

Mobile devices are becoming very popular due to the wide range of networking competence for the mobile device users. The security issues in MANET become the control towards the management of the multiple numbers of nodes in the MANET is distributed. To strategy for overcome the Sybil attack in MANET and improve the efficiency of the Sybil attack detection by enhancing the data confidentiality and reliability. The primary objective of this research work is to develop a scheme to detect and prevent the Sybil attack in the MANET and to provide a highly reliable data transmission approach. The proposed system ensures the availability, confidentiality, authenticity and reliability of the information using digital certificate chains and secret sharing schemes. To detect the sybil node during the route discovery process, the nodes authenticate each other by providing the digital security certificate (DSC). The digital security certificate proves the nodes and allows only authorized node to participate in the route to transmit the data packets from the source to destination. It will not ensure the confidential data transmission when the legitimate node exhibits the malicious behavior in certain circumstances. When any intermediate nodes learn about the data packet that is being transmitted, then the security in data transmission becomes a critical factor. The safety of the network can be enhanced by preventing the sybil attack in MANET by increasing the data confidentiality and reliability.  Only certified and authenticated nodes can participate in the route to transfer the data packets between the nodes. To prevent the sybil attack, it is necessary to secure the data that is transmitted over the insecure communication routes.
Protected Data Using Hybrid Algorithm in Cloud
Authors: Kalaiselvi K , Jayashri N , Saraswathi G
Published: July 2019

Cloud computing providing confidentiality over the insensitive data was the major issue related to security. It verifies the data owned by the server through linear computations. The proposed work enables security and efficiency using the cryptographic techniques of hybrid algorithms, securing the sensitive information that is present in the cloud. In the hybrid algorithm, it is the combination of problem encryption, key generation, result decryption and proof generation. It also validates the results which are being computed and also provides end-to-end confidentiality over the data to both the end user. The uses of hybrid algorithm results in a random key generation, encrypt/decrypt, and validate the satisfied results. This will provide a low cost to both server and client.