bluuebunny/crossref_metadata_2025 huggingface dataset:
Golden Section and Golden Rectangles When Building Icosahedron, Dodecahedron and Archimedean Solids Based On Them
Authors: Васильева В. , Vasil'eva V.
Published: July 2019

A brief history of the development of the regular polyhedrons theory is given. The work introduces the reader to modelling of the two most complex regular polyhedrons – Platonic solids: icosahedron and dodecahedron, in AutoCAD package. It is suggested to apply the method of the icosahedron and dodecahedron building using rectangles with their sides’ ratio like in the golden section, having taken the icosahedron’s golden rectangles as a basis. This method is well-known-of and is used for icosahedron, but is extremely rarely applied to dodecahedron, as in the available literature it is suggested to build the latter one as a figure dual to icosahedron. The work provides information on the first mentioning of this building method by an Italian mathematician L. Pacioli in his Divine Proportion book. In 1937, a Soviet mathematician D.I. Perepelkin published a paper On One Building Case of the Regular Icosahedron and Regular Dodecahedron, where he noted that this “method is not very well known of” and provided a building based “solely on dividing an intercept in the golden section ratio”. Taking into account the simplicity and good visualization of the building based on golden rectangles, a computer modeling of icosahedron and dodecahedron inscribed in a regular hexahedron is performed in the article. Given that, if we think in terms of the golden section concepts, the bigger side of the rectangle equals a whole intercept – side of the regular hexahedron, and the smaller sides of the icosahedron and dodecahedron rectangles are calculated as parts of the golden section ratio (of the bigger part and the smaller one, respectively). It is demonstrated how, using the scheme of a wireframe image of the dual connection of these polyhedrons as a basis, to calculate the sides of the rectangles in the golden section ratio in order to build an “infinite” cascade of these dual figures, as well as to build the icosahedron and dodecahedron circumscribed about the regular hexahedron. The method based on using the golden-section rectangles is also applied to building semiregular polyhedrons – Archimedean solids: a truncated icosahedron, truncated dodecahedron, icosidodecahedron, rhombicosidodecahedron, and rhombitruncated icosidodecahedron, which are based on icosahedron and dodecahedron.
Infection after fracture fixation
Authors: Steinmetz Sylvain , Wernly Diane , Moerenhout Kevin , Trampuz Andrej , Borens Olivier
Published: July 2019

Infection after fracture fixation is a feared complication in orthopaedic surgery leading to poor bone healing and loss of function. Early detection is essential and interdisciplinary care is mandatory. Eradication of infection is only possible through combined surgical and antibiotic treatment. Intraoperative tissue samples must be taken and are effective for guidance of the antibiotic regimen. Infection after fracture fixation is different from prosthetic joint infection (PJI) and needs a specific strategy. In this review, we define infection after fracture fixation, and outline the clinical, radiological and laboratory signs of these infections, as well as a treatment algorithm for optimal patient care.

Cite this article: EFORT Open Rev 2019;4:468-475. DOI: 10.1302/2058-5241.4.180093
18Fluorocholine PET/CT scanning with arterial phase-enhanced CT is useful for persistent/recurrent primary hyperparathyroidism: first UK case series results
Authors: Christakis I , Khan S , Sadler GP , Gleeson FV , Bradley KM , Mihai R
Published: July 2019

Introduction

Redo parathyroidectomy for persistent/recurrent primary hyperparathyroidism is associated with a higher risk of complications and should be planned only with convincing localisation. We assessed whether 18fluorocholine positron emission tomography/computed tomography could identify parathyroid adenoma(s) in patients with persistent/recurrent primary hyperparathyroidism and negative conventional scans.

Materials and methods

A departmental database was used to identify patients with failed localisation attempts (sestamibi single photon emission computed tomography/computed tomography and/or computed tomography/magnetic resonance imaging and/or selective parathyroid hormone sampling) after previous unsuccessful surgery for primary hyperparathyroidism. 18Fluorocholine positron emission tomography was performed in all patients and redo surgery offered to those with positive findings.

Results

18Fluorocholine positron emission tomography incorporating arterial and portal phase enhanced computed tomography was performed in 12 patients with persistent/recurrent primary hyperparathyroidism (four men and eight women). Seven patients (58%) were cured after excision of adenomas located in ectopic positions (n = 3) or in anatomical position (n = 4). Five patients (42%) had persistent hypercalcaemia and repeat 18fluorocholine scan confirmed that the area highlighted on preoperative scans was excised. The arterial phase enhancement of the computed tomography was significantly different between cured and not-cured patients (P = 0.007). All seven cured patients had either a strong or weak enhancing pattern on computed tomography. Standardised uptake value at 60 minutes in patients with successful surgery (range 2.7–15.7, median 4.05) was higher than in patients with failed surgery (range 1.8–5.8, median 3.2) but was not statistically significant (P = 0.300).

Discussion

18fluorocholine scanning can identify elusive parathyroid adenomas, including those that are ectopic, and is useful in the management of patients with persistent/recurrent primary hyperparathyroidism when first-line scans are negative. The grading of the arterial phase of computed tomography can help to differentiate between true adenomas and false positive targets (lymph nodes).
Detection of Neprilysin-Derived BNP Fragments in the Circulation: Possible Insights for Targeted Neprilysin Inhibition Therapy for Heart Failure
Authors: Feygina Evgeniya E , Artemieva Marina M , Postnikov Alexander B , Tamm Natalia N , Bloshchitsyna Marina N , Medvedeva Natalia A , Katrukha Alexey G , Semenov Alexander G
Published: July 2019

BACKGROUND

Entresto™ is a new heart failure (HF) therapy that includes the neprilysin (NEP) inhibitor sacubitril. One of the NEP substrates is B-type natriuretic peptide (BNP); its augmentation by NEP inhibition is considered as a possible mechanism for the positive effects of Entresto. We hypothesized that the circulating products of BNP proteolysis by NEP might reflect NEP impact on the metabolism of active BNP. We suggest that NEP-based BNP cleavage at position 17–18 results in BNP ring opening and formation of a novel epitope with C-terminal Arg-17 (BNP-neo17 form). In this study, we use a specific immunoassay to explore BNP-neo17 in a rat model and HF patient plasma.

METHODS

We injected BNP into rats, with or without NEP inhibition with sacubitril. BNP-neo17 in plasma samples at different time points was measured with a specific immunoassay with neglectable cross-reactivity to intact forms. BNP-neo17 and total BNP were measured in EDTA plasma samples of HF patients.

RESULTS

BNP-neo17 generation in rat circulation was prevented by NEP inhibition. The maximum 13.2-fold difference in BNP-neo17 concentrations with and without sacubitril was observed at 2 min after injection. BNP-neo17 concentrations in 32 HF patient EDTA plasma samples ranged from 0 to 37 pg/mL (median, 5.4; interquartile range, 0–9.1). BNP-neo17/total BNP had no correlation with total BNP concentration (with r = −0.175, P = 0.680) and showed variability among individuals.

CONCLUSIONS

BNP-neo17 formation is NEP dependent. Considering that BNP-neo17 is generated from the active form of BNP by NEP, we speculate that BNP-neo17 may reflect both the NEP activity and natriuretic potential and serve for HF therapy guidance.
Diagnosis of Eosinophilic Enteritis With Video Capsule Endoscopy and Double Balloon Enteroscopy With Favorable Response to Corticosteroids
Authors: Herrera Quiñones Gilberto , Scharrer Susanna Isabel , Jiménez Rodríguez Alan Rafael , García Compean Diego , Borjas Almaguer Omar David , Martínez Segura Juan Antonio , Jáquez Quintana Joel Omar , González González Jose Alberto , Maldonado Garza Hector Jesus
Published: July 2019

Eosinophilic enteritis is a rare disease with nonspecific symptoms, often representing a diagnostic challenge. Video capsule endoscopy (VCE) has enabled examination of the full small bowel. However, capsule retention is an unfortunate complication. We present the case of a female patient admitted for abdominal pain. Appendectomy without resolution of symptoms was performed. A normal computed tomography and magnetic resonance imaging were obtained. The diagnosis was made by VCE and double balloon enteroscopy with biopsy. Asymptomatic capsule retention was resolved after corticosteroid therapy. The patient showed a favorable clinical and endoscopic response, confirmed through a second VCE after 3 months of treatment.
Zieve's Syndrome Presenting With Severe Hypertriglyceridemia
Authors: Choudhry Faiza , Kathawa Jolian , Kerton Kelsey , Farshadsefat Seina , Piper Marc
Published: July 2019

Zieve's syndrome (ZS) is a rare disease characterized by a triad of hemolytic anemia, cholestatic jaundice, and transient hyperlipidemia seen in patients with alcoholic steatohepatitis. We report a case of ZS with severe hypertriglyceridemia. Among the reported cases of ZS in English literature, we believe this is the first case of the syndrome presenting with severe hypertriglyceridemia requiring plasmapheresis.
GENERAL MODEL OF RADIATIVE AND CONVECTIVE HEAT TRANSFER IN BUILDINGS: PART II: CONVECTIVE AND RADIATIVE HEAT LOSSES
Authors: Ficker Tomáš
Published: July 2019

The present paper represents the second part of the serial publication, which deals with convective and radiative heat transfers in buildings. The algebraic computational method for combined convective-radiative heat transport in buildings has been proposed. The convective transport of heat has been formulated by means of the correlation functions of the Nusselt number. The radiative heat transfer has been specified by using the radiosity method explained in the first part of the serial publication. The system of transcendent equations has been formed to couple the convective and radiative heat transports. The transcendent system has been solved iteratively, which has facilitated to obtain the optimized surface temperatures as well as the optimized values of the coefficients of heat transfer. On the basis of these optimized values, a more precise overall heat loss has been computed and compared with the results obtained from the thermal standard. The strong and weak points of the both used numerical methods have been discussed.
DEFLECTIONS AND FREQUENCY ANALYSIS IN THE MILLING OF THIN-WALLED PARTS WITH VARIABLE LOW STIFFNESS
Authors: Kononenko Serhii , Dobrotvorskiy Sergey , Basova Yevheniia , Gasanov Magomediemin , Dobrovolska Ludmila
Published: July 2019

The disadvantage of the geometry of thin-walled parts, in terms of processing, is the low ability to resist static and dynamic loads. It is caused by the elastic deformation of elements with a low stiffness. Modelling approaches for the evaluation of deflections during machining are presented. Mathematical models of deflections, cutting forces and harmonic response are proposed. The processes of material removal and deflection of a thin-walled sample at the critical points are modelled. A frequency analysis was performed, consisting of a modal analysis of natural frequencies and a harmonic response analysis. As a result, a graph of the deflections amplitude from the frequency of driven harmonic oscillations is generated. The analysis of the obtained values was performed. As a result, the resonance frequency and maximum amplitude of oscillations for the operating parameters are determined.
JATROPHA OIL WITH IRON NANOPARTICLES APPLICATION IN DRILLING PROCESSES
Authors: Shalimba Veikko , Sopko Vít
Published: July 2019

A performance of heat transfer fluids has a substantial influence on the size, weight and cost of heat transfer systems, therefore, a high-performance heat transfer fluid is very important in many industries. Over the last decades, nanofluids have been developed. According to many researchers and publications on nanofluids, it is evident that nanofluids have a high thermal conductivity. The aim of this experimental study was to investigate the change of the workpiece temperature during drilling using Jatropha oil with iron nanoparticles and water with iron nanoparticles as lubricating and cooling fluids. These experiments were carried out with samples of nanofluid with different nanoparticles volume ratio, such as samples JN1, JN5 and JN10 of iron nanoparticles in the base Jatropha oil with a nanoparticle volume fraction of 1 %, 5% and 10% respectively and samples WN1, WN5 and WN10 of iron nanoparticles in the base water with a nanoparticle volume fraction of 1 %, 5% and 10% respectively.
High Performance IIR Filter FPGA Implementation Utilizing SOS Microcode Core
Authors: Zoubek Ondřej , Musil Tomáš
Published: July 2019

This paper discusses the methods of optimal IIR filter FPGA implementation. The methods are focused on the reduction of occupied resources and increasing data throughput. Higher demands on an internal controller complexity are successfully solved by utilizing programmable microcode controller. The novelty of SOS core and its capabilities are presented and different variants of SOS core are assessed. The workflow of IIR filter design using MATLAB considering rounded coefficient method is demonstrated.
Corrigendum: Medullary thyroid cancer. Returning to the need to determine the preoperative basal calcitonin level in patients with thyroid nodular pathology (Endocrine surgery. 2018;12(4). doi: 10.14341/serg10044)
Authors: Stanyakina Elena E. , Romanov Ilia S. , Kondratieva Tatiana T. , Krylov Alexander S. , Ryzhkov Alexey D. , Shiryaev Sergey V.
Published: July 2019

A corrigendum on «Medullary thyroid cancer. Returning to the need to determine the preoperative basal calcitonin level in patients with thyroid nodular pathology»
by Elena E. Stanyakina, Ilia S. Romanov, Tatiana T. Kondratieva, Alexander S. Krylov, Alexey D. Ryzhkov, Sergey V. Shiryaev (2018). Endocrine Surgery. 12(4). doi: 10.14341/serg10044
There is an error on the page 189: "Blood test for hormones: thyroid stimulating hormone (TSH) — 52.6 mIU/l (reference values 0.25–4.0), adrenocorticotropic hormone (ACTH) <20 IU/ml (0–30), thyreoglobulin (TG) <0.2 ng/ml (0–30)". Instead of "antibodies to thyroglobulin (ATTG)" was published "adrenocorticotropic hormone (ACTH)".
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way.
The original article has been updated.
Threshold based brain tumor image segmentation
Authors: Chandra De Utpal , Das Madhabananda , Mishra Debashis , Mishra Debashis
Published: July 2019

Image processing is most vital area of research and application in field of medical-imaging. Especially it is a major component in medical science. Starting from radiology to ultrasound (sonography), MRI, etc. in lots of area image is the only source of diagnosis process. Now-a-days, different types of devices are being introduced to capture the internal body parts in medical science to carry the diagnosis process correctly. However, due to various reasons, the captured images need to be tuned digitally to gain the more information. These processes involve noise reduction, segmentations, thresholding etc. . Image segmentation is a process to segment the target area of image to identify the area more prominently. There are different process are evolved to perform the segmentation process, one of which is Image thresholding. Moreover there are different tools are also introduce to perform this step of image thresholding. The recent introduced tool PSO is being used here to segment the MRI scans to identify the brain lesions using image thresholding technique.
Solving large-scale problems using multi-swarm particle swarm approach
Authors: Q. Salih Sinan , Rahman A. Alsewari Abdul
Published: July 2019

Several metaheuristics have been previously proposed and several improvements have been implemented as well. Most of these methods were either inspired by nature or by the behavior of certain swarms such as birds, ants, bees, or even bats. In the metaheuristics, two key components (exploration and exploitation) are significant and their interaction can significantly affect the efficiency of a metaheuristic. How-ever, there is no rule on how to balance these important components. In this paper, a new balancing mechanism based on multi-swarm approach is proposed for balancing exploration and exploitation in metaheuristics. The new approach is inspired by the concept of a group(s) of people controlled by their leader(s). The leaders of the groups communicate in a meeting room where the overall best leader makes the final decisions. The proposed approach applied on Particle Swarm Optimization (PSO) to balance the exploration and exploitation search called multi-swarm cooperative PSO (MPSO). The proposed approach strived to scale up the application of the (PSO) algorithm towards solving large-scale optimization tasks of up to 1000 real-valued variables. In the simulation part, several benchmark functions were per-formed with different numbers of dimensions. The proposed algorithm was tested on several test functions, with four different number of dimensions (100, 500, and 1000) it was evaluated in terms of performance efficiency and compared to standard PSO (SPSO), and master-salve PSO algorithm. The results showed that the proposed PSO algorithm outperformed the other algorithms in terms of the optimal solutions and the convergence.
Integrated Combined Layer Algorithm (ICLA) for Jamming Detection in MANET
Authors: Yusri Dak Ahmad , Elaiza Abdul Khalid Noor , Yahya Saadiah
Published: July 2019

The nature of MANETs such as open medium, dynamic mobility and lack of security makes it susceptible to a range of attacks. Jamming attacks is recorded as the highest occurring attacks that exist at physical and MAC layers in MANET. Therefore, an integrated combined layer algorithm (ICLA) is proposed using reverse engineering and anomaly detection technique. The methodology begins by collecting data through OPNET. Analysis and evaluation of the data produces three jammers detection Metrics which are used detect jammers. The performance of the outcome are then tested against other jammers’ model at MAC and physical layer to evaluate the detection performance. This enables identification of jamming attack at both lower layers in MANET. It is combination of three tested metrics such as SNR, BER and throughput that able to detect jamming attack using combined layer approach. The combination of these three metrics across layers shows improvement in identification performance.
Emolah: A Malay Language Spontaneous Speech Emotion Recognition on iOS Platform
Authors: Ramli Izzad , Jamil Nursuriati , Ardi Norizah , Hamzah Raseeda
Published: July 2019

This paper presented the implementation of spontaneous speech emotion recognition (SER) using smartphone on iOS platform. The novelty of this work is at the time of writing, no similar work has been done using Malay language spontaneous speech. The development of SER using a mobile device is important for ease of use anytime and anywhere. The main factors to be considered is the computational complexity of classifying the emotions in real-time. Therefore, we introduced EmoLah, a Malay language spontaneous SER that is able to recognize emotions on the go with satisfactory accuracy rate. Pitch and energy prosody features are used to represent the emotions in the spontaneous speech and Naïve Bayes learning model is selected as the classifier. EmoLah is trained and tested using Malay language spontaneous speech acquired from television talk shows, live interviews from news broadcast and mini-parliament sessions conducted by children. Four types of speech emotions are collected that are happy, sad, angry and neutral. The total duration of all the speech emotion is four hours. The speech emotion training is using MATLAB scripts and the weights are implemented in XCODE as the iOS software for application development. Emolah accuracy is evaluated using cross-validation test and the result showed that it can discriminate angry, sad and happy. However, most emotions are misclassified as neutral emotion.
Cloud Computing Adoption in Government Agency
Authors: Azlin Khairuddin Khairini , Fathiyah Harun Afdallyna
Published: July 2019

As accessibility to government online services is critical, MAMPU has outlined strategic directions for the implementation of Public Sector ICT. This included cloud computing adoption which aims to optimize service delivery but is progressing slowly due to resource-sharing and standardization issues. This calls for the need to assess contributing factors of technology acceptance within a public sector. Employing Malaysia NRD as a case study, we aim to identify factors of cloud adoption and determine how NRD could strategize Cloud Computing adoption. Using the DOI and TOE theories, we assessed cloud computing adoption in terms of ¬Technology Characteristics, Organisational Readiness, and External Environment through a case study. It was found that that all constructs are significant to cloud adoption with security and service quality being the highest concern. Moreover, several elements such as compatibility, readiness and more need to be in place to enhance the impact of cloud computing adoption.
Genetic Algorithm (GA) for Multiprocessors Scheduling
Authors: Mohd Jufri Sainuddin , Izwan Suliman Saiful , Asri Mansor Mohd , Wati Mohamad Yusof Yuslinda , Mohamad Roslina , Shahbudin Shahrani , Kassim Murizah
Published: July 2019

In a multiprocessors environment, an algorithm is used to effectively delegate tasks to the processors. The algorithm act as the resource distributor and controller to ensure that the processors are equally utilized thus optimizing the usage of the processors. Thus, the objectives of the study are to replicate the Genetic Algorithm (GA) and use the algorithm to shorten the timespan for the parallel task to be completed. The algorithm has the ability to improve and find the optimum solution based on the population needs. Hence, C++ is used as the platform for the simulation. Experimental results validate that the designed program has the ability to replicate the GA in achieving the objectives of the study.
Technological Cooperation Trends Under Conditions of the Modern World Economy
Authors: Anatol’evna Navrotskaia Natalia , Alexandrovna Kovaleva Ekaterina , Vyacheslavovna Zenkina Elena , Muradovna Kutlyeva Gozel’ , Vyacheslavovna Bogacheva Tatyana , Vital’evna Bondarchuk Nataliya
Published: July 2019

The authors emphasized key specific features of technological cooperation under conditions of the modern world economy and analyze modern trends of the world production ties development in high and medium technological economic sectors. They generalized main trends of technological cooperation development in the light of structural changes in the world economy, innovative production process and specific features of regional labor division.  It was concluded that structural changes in the world economy, an innovative production process and specific features of regional labor division formed a new location of the world production, an architecture and motivation of technological cooperation in the hi-tech and economic sectors. It was emphasized that an analysis of technological cooperation development for Russia should be performed with account of the mentioned world tendencies and special features of the national economy.
Monitoring Concept of the Information Support System Organization of the Anti-Crisis Management of the Regional Agro-Industrial Complex
Authors: Kitovich Tkhakushinov Edward , Aslanovna Khachemizova Emma
Published: July 2019

The article is devoted to the problems of ensuring efficient management of the agro-industrial complex (AIC) in the region and a systematic analysis of economic processes in crisis situations. The authors discuss the anti-crisis management system involving the formulation of necessary solutions aimed at supporting the subjects of the AIC in economic equilibrium, based on having an effective monitoring mechanism. This management system ensures a rapid response to sudden changes in economic factors and offers a set of alternative solutions to determine the strategy and tactics of the AIC development.The monitoring concept of anti-crisis management is justified, based on the organization of a powerful monitoring mechanism, enabling timely, necessary and sufficient analysis of the processes and patterns of managing socio-economic processes. At the same time, a special role is given to interaction between design and expert assessments of the factors of crisis situations, making it possible to characterize the degree of influence of a crisis change in the conditions of the external environment on the economy of the subjects and the whole AIC in general.
Path-loss modelling for WSN deployment in indoor and outdoor environments for medical applications
Authors: Bashar Fakhri Ahmed , Kamel Gharghan Sadik , Latteef Mohammed Saleem
Published: July 2019

Wireless sensor networks (WSNs) and their applications have received significantly interested in the last few years. In WSN, knowing an accurate path-loss model as well as packet delivery should be taken into account for the successful distribution of several nodes in the net-work. This paper presents a path-loss modeling and performance evaluation of the ZigBee wireless standard. Received signal strength indi-cator (RSSI) measurements were achieved in outdoor and indoor environments to derive the path-loss based on Log-Normal Shadowing Model (LNSM). The path-loss parameters such as standard deviation and path loss exponents were estimated over point-to-point ZigBee WSN. In addition, the variances of received RSSI values and standard deviation for these values have been investigated. Furthermore, the data packets received is measured practically. Results revealed that the LNSM can be estimated to reflect the channel losses in both outdoor and indoor environments for medical application. The data delivery was achieved successfully of 100% in outdoor which better than indoor due to multipath propagation and shadowing. Moreover, the data packets delivery of the current work outperformed previous work.
Quantitative Electroencephalogaphy (QEEG) and Neurofeedback Training (NFT) for Elderly with Mild Cognitive Impairment (MCI)
Authors: Hartini Mardan Nur , Fauzan Norsiah
Published: July 2019

Neurofeedback training (NFT) has been widely used to alter the brain activity to enhance the brain function. This study aimed to apply neurofeedback to enhance the cognitive performance in elderly with Mild Cognitive Impairment (MCI) by focusing on alpha wave in the neurofeedback training as it is positively associated with cognitive decline in elderly. 10 subjects who passed the criteria were assigned to experimental and control group. With 15 sessions of alpha neurofeedback, increase in alpha absolute power was rewarded while simultaneous suppression of theta and beta2 were done in experimental group. Results showed that after completion of neurofeedback, all subjects in experimental group learn to increase their alpha absolute power while mixed result was recorded for suppression of theta and high beta either at individual, inter and intra group level. Cognitive results in individual level revealed that pattern of increase and decrease of score was regular in experimental group and at grouped level, significant increment observed in Digit Span and Symbol Search in experimental group only. These results suggest that MCI elderly could learn to increase specific components of EEG activity that such enhanced activity may facilitate in working memory and processing speed enhancement.
Insights into The Adoption of Lean Management in Industrialised Building System (IBS) Implementation: The Drivers and Challenges
Authors: Rahimah Mohd Noor Siti , Yunus Riduan , Halid Abdullah Abd , Nagapan Sasitharan , Mohamad Syahir Syed Mazlan Syed
Published: July 2019

The application of lean management is able to improve construction processes. Unnecessary waiting time, overstaffing and risk uncertainty are some of the problems that can be eliminated by adopting lean management. Industrialised Building System (IBS) is a sustainable approach that can be improved construction deliverables with the integration of lean management. However, the adoption or practice of lean management in productions of IBS component productions is still limited. There are only few studies emphases on the interactions among key drivers and hierarchy of lean management key drivers model. This study used Interpretive Structural Modeling (ISM) to interpret relationship of drivers and challenges in integrating lean management in form of ISM based-model and Matrice d’impacts croisés multiplication appliquée an classment (MICMAC). The results from this will improve the adoption of lean management in IBS application.
Education Level, Working Experiences and Ergonomics Training Effect on Ergonomics Awareness and Practices in Malaysia
Authors: Md Sirat Rozlina , Mohd Rohani Jafri , Ahmad Norhayati , Mohamed Shaharoun Awaluddin , Haron Habibah
Published: July 2019

The objective of the study is to identify the effect of three demographics factors: education level, working experiences and ergonomics training on ergonomics awareness (EA) and ergonomics practices (EP). 146 questionnaires were received from Safety and Health Officers (SHOs) in Malaysian manufacturing companies. Exploratory Factor Analysis has been carried out but not discussed in this paper. Ergonomics awareness (EA) represented by four elements: knowledge in ergonomics technical (KET), beliefs on implication of work and need for improvements (BIIWNI), beliefs on the importance of assessment (BIAss) and beliefs on the importance of anthropometrics and suitability to workers (BIASW). Ergonomics practices (EP) were represented by two elements; ergonomics technical (Ergo_Tech) and ergonomics administrative (Ergo_Ad). Analysis were carried out by Levene test, MANOVA, and linear regression (stepwise). It is found that ergonomics training and working experiences as SHO have significantly interact with EA, while only ergonomic training has significantly interacted with EP. Surprisingly, education level of SHOs did not contribute significantly to both EA and EP. It is concluded that ergonomics training should be emphasized in order to get a successful ergonomics practice and it should be considered as a compulsory in order to obtain continuous program (CEP) point for renewal of SHO certificate.
The Impact of Intellectual Capital, Credit Risk and Corporate Social Responsibility on Banks’ Profitability: Empirical Analysis of the Selected Malaysian Islamic Banks
Authors: Kim Peong Kwee , Nadia Mahfuz Norseri , Peng Peong Kwee
Published: July 2019

The present research provides new empirical evidence on the impact of bank-specific characteristic factors (ie: intellectual capital, credit risk, and corporate social responsibility) and macroeconomic indicators (ie: nominal GDP growth rate and inflation rate) on the profitability of Islamic banks. The empirical analysis concentrates on the Malaysian Islamic banking industry over the period of nine years, from 2008 to 2016, by applying correlation analysis and multiple regression analysis. The paper finds that greater intellectual capital positively affects the profitability of Islamic banks operating in Malaysia. It means that intellectual capital is the main determinant effects on Malaysian Islamic banks' financial performance. A high intellectual capital exhibits the higher profitability level of Islamic banks. Whereas, credit risk, corporate social responsibility, and nominal GDP growth rate have a strong positive impact on return on equity (ROE) but not return on assets (ROA). Interestingly, there is no positive correlation between the inflation rate and the financial value of Malaysian Islamic banks. Thus, the success of Islamic banks in Malaysia relies on its efficiency of employing resources and profitability.
Usage of Online Learning Resources Among Academic Staff at Malaysian University
Authors: Radin Salim Kamilah , Abdullah Morina , Liza Ali Nor , Ali Rosmah
Published: July 2019

This paper reports on the awareness and usage of online learning resources in teaching and learning among the academic staff at a public university in Malaysia. In addition, the advantages and disadvantages of online learning resources are also presented. Online learning resources recommended by the management of the university include e-learning modules, Open Courseware (OCW), Massive Open Online Courses (MOOC), BLOSSOMS, Edutainment and Video of Exemplary Professionals. Data were collected using a survey questionnaire with Likert scale items and open-ended questions. The questionnaires were distributed to 160 academic staff of the university. The results show that the most attended training was e-learning and most respondents are currently implementing it in their courses. However, less than 10% of the respondents implemented the OCW, MOOC, BLOSSOMS and Edutainment. About 23.1% of the respondents implemented Video of Exemplary Professionals in their teaching and learning. Some respondents also reported lack of student participation in using e-learning and other resources due to system instability. The practical implication of this study is that more training on new online learning resources should be provided to the academic staff to increase their skills in using the online learning resources in their teaching. Better internet connection is also necessary to boost the use of these resources.
Vocabulary Learning Strategies of Saudi English Major Students: Strategy Use and Gender
Authors: Al-Harbi Jamilah , Haliza Engku Ibrahim Engku
Published: July 2019

One of the major challenges that learners face during the process of foreign language learning is acquiring vocabulary. Thus, students need to employ various vocabulary learning strategies to acquire the vocabulary of a foreign language. The present study attempts to identify the vocabulary learning strategies employed by Saudi English major students. This study also aims to examine if there are differences between male and female students in the pattern and frequency of strategy use. Sixty-five first-year English major students of Majmaah University participated in the study. Their vocabulary learning strategies were measured using the Vocabulary Learning Strategy Survey. The results showed that students preferred cognitively less demanding strategies compared to the ones that required deeper cognitive processing. The most frequently used strategies were “I try to remember the word by repeating it for several times,” “I try to guess the meaning of the word from text/context” and “I learn new words when I interact with native speakers.” In general, social strategy is the most used strategy while memory strategy is the least used. The findings also showed that males preferred social strategy compared to females who preferred cognitive strategy and that two strategies (cognitive and memory strategies) showed significant differences between the two genders.
Proposed Corporate Performance Management Using Integrated Performance Management System (IPMS) at PT Pos Indonesia (Persero)
Authors: Prilianti Eliza , Tresnadi Hikmat Muhammad
Published: July 2019

The big market shifting in postal industry begun since a physical letter was being substituted by digitalization of technology, yet it brings new business opportunity in the e-commerce industry. The e-commerce industry in Indonesia is expected to grow by approximately 18% annually in the next five years. It triggers an increasing demand for parcel delivery services. However, the performance of PT Pos Indonesia (Persero) as a State Owned Enterprise engages in postal industry shows the declining trend. The volume of parcel delivery declined during the last three years. The company has not been able to manage its performance due to the incompatibility of performance management system. The purpose of this research is assisting the company to design new performance management system to improve its performance. The Integrated Performance Management System (IPMS) framework is selected because it is able to overcome the issues in the company. There are five stages of IPMS framework includes foundation, background and information, design process, implementation, and refreshment. It consist of three perspectives includes organizational output, internal process, and resources availability. This research proposed the performance management system for Pos Indonesia and produces 20 key performance indicators (KPI) that derived from company’s vision, mission, and strategy.
Business Model Building and Its Performance in Micro and Small Apparel Industry in Bandung City, Indonesia
Authors: Ratnaningtyas Sudrajati , Dhewanto Wawan , Rudito Bambang , Agus Prasetio Eko , Gina Karunia Kusumah Gina
Published: July 2019

This study aims to determine whether or not the impact of business size on business model building and business performance perceived owner. This research used a quantitative-qualitative approach with Survey Method. The study was conducted in Apparel industry in Bandung City in 2017. The business model used to evaluate is Business Model Canvas (BMC). Chi-Square and Mann-Whitney U tests were used to test the differences between micro business and small business on each of BMC building blocks. The results showed that BMC building blocks between Micro Business and Small Buisness differed on two blocks, ie Channels and Revenue Streams, while the other seven blocks were not different significantly. It can be interpreted that the business model on Micro Businesses is generally slightly different with Small Businesses, or in other words the business strategy is relatively the same. However, the Business Model applied to Small Business with excellence in marketing channels and revenue streams compared to Micro Business, has resulted in a higher level of owner satisfaction on the performance of its business.
Parameters Affecting Coating Uniformity of Alkali -Activated Material Coated Fertilizer
Authors: Hakim H Luqman , Zilati KZ. Ku. , Harris N. Muhammad
Published: July 2019

The establishment of Controlled Release Urea (CRU) in agriculture industry has given a great significant outcome towards the development of economy while preserving the environment. As it is developed through a coating process, it does not only help to increase fertilizer’s efficiency, but also minimize the loss of nutrients into the soil and environmental pollution. There are many types of coating materials that have been extensively studied as well as applied in everyday life from pharmaceutical industry to engineering industry such as in pharmaceutical tablet, road construction and corrosion control of steel structures like offshore platforms. In this research, the alkali-activated material composite has been developed as a new coating material and is introduced as the main coating material for the CRU. In term of environmental friendliness, alkali-activated material (AAM) is  considered better than sulphur and polymer. However, the combination of fly ash and sodium hydroxide (NaOH) solution producing the AAM paste needs further research since it can be categorized as a novel coating material for CRU. It is also to ensure the suitability of it to be used as a coating material on urea fertilizer. A significant coating thickness along with good hardness strength can produce promising coated urea granules characteristics. Two parameters have been studied for this research to identify its effect towards coating thickness and hardness strength of coated urea granules which are inlet air pressure and spraying rate. These two parameters are identified to be crucial in enhancing the characteristics of coated urea granules.
Human Pose Estimation in Images and Videos
Authors: Reddy Gurunatha Swamy P , Ananth Reddy B
Published: July 2019

Estimation of human poses is an interesting and challenging topic in the field of Computer vision. It includes some un-noticed challenges like background effect, the color of the dress, skin tones and many other unpredictable challenges. This is a workable concept because it can be used in sign language recognition, correlating various pose styles from different parts of the world and in medical applications. A deep structure which can represent a man’s body in different models will help in improved recognition of body parts and the spatial correlation between them. For hand detection, features based on hand shape and representation of geometrical details are derived with the help of hand contour. An adaptive and unsupervised approach based on Voronoi region is primarily used for the color image segmentation problem. This process includes identification of key points of the body, which may include body joints and parts. The identification parts will be tough due to small joints and occlusions. Identification of Image features is described in this paper with the help of Box Model Based Estimation, Speed up robust features and finally with Optical flow tracking algorithm. In Optical flow tracking algorithm, we have used Horn-Schunk algorithm to determine featural changes in the images.
Access Policy’s Over Encrypted Cloud Storage for Secure Deduplication
Authors: Kiran Kumar G , Amarnath Reddy E , Mamatha B , Manisha Kompally
Published: July 2019

Attribute-Based Encryption (ABE) is a basic concept that considers public-key cryptography. Ciphertext-Policy ABE (CP-ABE) is one of the approaches used by ABE for data sharing in the cloud. In CP-ABE scheme, each user’s private key has a set of attributes and then the user decrypts a ciphertext if it holds a matching key. Our proposed system provides an extension to CP-ABE by implementing AES. AES uses a symmetric encryption key algorithm for a same set of keys. Our system provides a higher security through AES because of its complexity and helps in generating the content key . This key is used during the encryption of the original file over the cloud. Our methodology also focuses on deduplication to provide less consumption of cloud storage over the cloud. Another advantage of using this system is to provide an efficient way of data access via access policies for a certain set of credentials.
A Geographical Factor of Interest Recommended Strategies in Location Based Social Networks
Authors: Rama Bulusu , Sai Prasad K , Sultana Ayesha , Shekar K
Published: July 2019

The fast development of area based administrations (LBSNs) has extensively advanced individuals' city lives and pulled in a huge number of recent years. Area based informal organizations (LBSNs) allow clients to registration at a real region and offer step by step rules on purposes of-intrigue (POIs) with their pals each time and anyplace. Such check-in behavior can make daily real-life experiences spread rapidly via the Internet. Moreover, such check-in records in LBSNs can be totally exploited to understand the basic legal guidelines of humans’ every day motion and mobility. This paper centers on evaluating the scientific classification of client displaying for POI proposals through the information investigation of LBSNs. First, we quickly introduce the shape and records traits of LBSNs, then we current a formalization of user modeling for POI suggestions in LBSNs. Contingent upon which sort of LBSNs records used to be completely used in buyer displaying forms for POI proposals, we separate client demonstrating calculations into four classifications: pure check-in data-based consumer modeling, geographical information-based consumer modeling, spatial-temporal information-based consumer modeling, and geo-social information-based consumer modeling. At finally, condensing the current works, we bring up the future difficulties and new guidelines in five possible aspects
Mathematical Modeling of Battery and Ultra Capacitor for Photo Voltaic System
Authors: Suhane Rupanshu , K. Chopra M , V.K. Sethi V
Published: July 2019

In this paper the scientific displaying of battery and ultra capacitor is performed for solar photovoltaic system. The expansion of the ultra capacitor bank displays the requirement for a philosophy to upgrade the photovoltaic system to avoid abundance battery stockpiling. This work traces the strategy used to streamline the blend of photovoltaic boards, batteries, and ultra capacitors for a given solar radiation and load profile. Lessening supplies of petroleum derivative, top oil and the natural effect of non-renewable energy sources on the earth has energized a development in manageable energies, for example, wind and solar power.
A Novel ASNO Segmentation Technique for Segmenting the JUXTA Vascular Region
Authors: B. Mathews Arun , M.K. Jeyakumar M
Published: July 2019

In this modern era the clinical laboratory has greater attention to produce an accurate result for every test particularly in the area of lung tumour. The lung tumour is very essential to detect as well as to follow the treatment of many diseases like benign, malignant etc. This paper is focusing on the segmentation part to find the juxta vascular region. For finding the juxta vascular region in lung three stages are used. First stage is the image acquisition here input lung image is read and then resized. Second stage is the image pre-processing here improved linear iterative clustering technique is used .Third stage is the segmentation here the adjustable surface normal overlap is used. While using the above stages the output for juxta vascular region in the segmentation part is segmented clearly.The juxta vascular region is not clearly found in the previous paper. The research gap for this paper is to find the juxta vascular region in the lung. This juxta vascular region is present in the right side of the lung. Using the Adjustable Surface Normal Overlap (ASNO) segmentation the juxta vascular region is segmented clearly.
Smart Street Solutions Using Iot
Authors: Ganesh Kumar E , Anusha Kandhadai , Saipriya V , Dass P
Published: July 2019

Street light failure has become a major problem in cities nowadays. As the failure reports are sent very rare to government, these failures are checked only if a higher involvement action takes place. Monitoring of street lights and controlling is of utmost importance in developing country like India. Moreover, in today’s world, power saving is very important and difficult. Though there are many power generation methods, it has become very difficult due to insufficient resources. Considering this as a problem, this project is developed to send accurate location of fuse blown street light to a contact number (if government number provided). When a Street light doesn’t glow even after it is powered ON, the light detector circuit detects which is immediately sent to an Intel® Edison processor which processes the information. A GSM Module is attached to it, which sends the location of the blown fuse street light to the respective contact number.