Volume 9 | Issue 3

 Abstract

this study aims to investigate the mediating effect of enterprise resource planning between production cost and improving performance of Yemen pharmaceutical companies as well as the impact of production cost on performance and ERP. The cross-sectional method is used by this study. For measuring the impact of ERP on improving the performance, structural questionnaire is used and distributed to 258 employees within the industry. The result shows a significant and positive mediating impact of ERP on production cost and improving the performance of the Yemen pharmaceutical companies. Also confirmed a significant impact of production costs that the variable cost, marginal cost, and total cost on the pharmaceutical companies' performance in Yemen as well as ERP.

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 Keywords

enterprise resource planning, production cost, performance, Pharmaceutical industry, Yemen

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This paper considers the multilabel classification problem, which is a generalization of traditional two-class or multi-class classification problems. In multilabel classification, a set of labels (categories) is given and each training instance is associated with a subset of this label-set. The task is to output the appropriate subset of labels (generally of unknown size) for a given, unknown testing instance. Some improvements to the existing neural network multilabel classification algorithm, named BP-MLL, are proposed here. The modifications concern the form of the global error function used in BP-MLL. The modified classification system is tested in the domain of functional genomics, on the yeast genome data set. Experimental results show that proposed modifications visibly improve the performance of the neural network-based multilabel classifier. The results are statistically significant.

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Classifications, Artificial Neural Networks, Machine Learning.

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2-D and 3-D models can be used for face recognition. The effect of light due surrounding factors can be reduced using 3-D model. But the issue with 3-D model method is that it takes large amount of time for fitting. This makes it difficult to meet real-time requirements. The algorithms usually use 2-D model for recognizing a face. These 2-D images are used for everything as the image captured can be of any distance using appropriate sensors and any illumination scenario. Whereas for capturing an image in 3-D, imaging technologies that currently work are able to do so at very short distances and also suffer from the inability to replicate complex patterns unless they get extremely close to the subject. 3-D imaging is a new technology when it comes to image capturing as its original purpose was to scan and measure objects accurately for aeronautical and scientific applications. Current commercial devices have cameras that can work well with low exposures and bad lighting situations using a combination of 2-D and 3-D imaging techniques that helps in creating incredibly detailed images. Our aim in this paper is to improve low-light camera performance using 2-D face recognition algorithms for extracting facial features captured using older security footage devices with no additional sensors. This paper is aimed to work with video streams as well as images so that plenty of learning and testing data is available to the paper.

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Deep learning, Log-Gabor, LBP, LBPH, CLAHE, Open Face, Weiner, BM3D Filter, Neural Network

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In India, extending the banking services to the underserved and unserved sections of the society has been posing a challenge. Therefore, the concept of Small Finance Bank was concocted to address such challenge and recommended by the NachiketMor committee on financial inclusion. In tune with the Central Budget 2014-15, RBI has started licensing small banks and other differentiated banks in anticipation that they would cater to the credit needs of small businesses, unorganized sector, low income households, farmers and migrant work force. This study, in a nutshell, attempts to analyze the various parameters in the operations of the Small Finance Banks.

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Small Finance Bank, Indian Economy financial inclusion, low income, migrant work force

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ABSTRACT Plant extracts and their constituents are one of the potential approaches that are used for the prevention and treatment of a large number of disorders. Herbal products and herbal food supplements are the chief components of plant extracts, those are very helpful in retaining healthiness, performing against a range of diseases and they support the good quality of being. Diabetes mellitus is, a multi factorial chronic metabolic disease causes high blood glucose level, one of them. The systematic researches of the traditional and recent herbal therapies for diabetes give precious leads for the progress of alternative new medicines and therapeutic approaches. Alternatives are required due to the incapability of modern approaches to organizing all of the pathological aspects of diabetes, and the poor availability and high cost of existing therapies for several country populations. This review summarizes the recent and traditional plants with verified antidiabetic potential in pre clinical and clinical studies for synergistic management of diabetes.

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Antidiabetics drugs, diabetes mellitus, herbal and natural products

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Pudina, Tulsi, Tobacco, Wheat grain, T. granadium

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Sudden declaration of the blanket lockdown was essential to stop the adverse result of the deadly decease to the community spread. Whereas, blanket shutdown has its own downsides, but it has been proved as an impoundment measure similar to China. But, few believe that there could be alternative ways than the Lockdown. This study was carried out to investigate the issues and challenges faced by the researchers to find out the potential results to the impact of lockdown on the society.

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Covid-19 , Lockdown

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Present urbanization required a huge variety of concretes and minimized effects of newly developed composite materials. This development leads to adverse effects on the surrounding environment. As a part of environmental concern, we have to minimize the negative effects. In my present research paper, I prepared M-50 grade of concrete by using Indian standards The development of High Strength Concrete has been a great breakthrough in Concrete Technology. High strength concrete (HSC) may be defined as concrete with a specified characteristic cube strength between 40 and 100 N/mm2, although higher strengths have been achieved and used. Strength levels of 80 to 100 N/mm2and even higher are being used for both precast and insitu works. High Strength Concrete is specified where reduced weight is important or where architectural/considerations require smaller load-carrying elements. After the preparation of specimens, I conducted the mechanical experiments after the curing periods at regular intervals, the output was correlated with the specified Indian standards and interpreted.

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Highstrength concrete,M-50,Composite Mateiral

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Background: Myocardial dysfunction in acute dengue has been documented as it causes fulminant cases such as fatal myocarditis as a sequelae of acute illness. Method: 40 (forty) adult patients aged between 20 to 45 were studied. Rapid test detection Non-structural protein-1 (NS1) and / or IgM antibody Elisa test Routine haemogram, LFT, Renal function test, chest-x-ray, USG abdomen. ECG test was performed in every patient and corroborated with clinical manifestation of Dengue fever. Results: Clinical manifestation was as per WHO guide lines. Major features were 20 (50%) abdominal pain, 16 (40%) persistent vomiting 15 (37.5%) Mucosal bleeding 12 (30%) Fluid accumulation 10 (25%) shock and ARDS, ECG had major features were 11 (15%) sinus tachycardia 30 (75%) sinus Bradycardia, 5 (12.5%) sinus rhythm, 6 (15%) first degree heart block. Conclusion: The spectrum of cardio vascular manifestations in dengue is broad ranging from myocardial impairment, arrhythmias to vascular barrier dysfunction. Hence such patient has to be treated meticulously to avoid significant morbidity and mortality.

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Rapid test detection IgM, ECG, Troponin T, DSS, South Karnataka.

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In Ayurveda food is considered as one of Trayopstambha i.e. three pillars of life- food, sleep and celibacy. Thus Ayurveda emphasizes on importance of food to maintain health and curing diseases for promoting good health. The continuous anabolism and catabolism process in living body leads to ksharan (breakdown) which is replenished by intake of food. Acharya charaka has mention pathya as synonym of Chikitsa, hence nityaprayunjita dravyas as wholesome food if taken in right time in right quantity it will help to recover from disease conditions either alone or with other medications.

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Matrashitiya, Pathya, Abhyas, Nitya prayunjita dravya

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BMI, CIMT, lipid profile atherosclerosis CVD, Cerebro, Vascular disease, south Karnataka.

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environmental crimes, level of awareness, efficiency of enforcement, proportion of violation

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In building materials, natural cellulose fibers have been used to improve the strength of concrete materials. Normal concrete has relatively low tensile strength and it is normal practice to use steel bars to resist tensile forces for structural applications. The principle of using natural fibers to increase concrete's tensile, compressive and flexural strength. Flexural, compressive, and tensile strength tests have been conducted on the prepared samples by appropriate testing apparatus according to standard specifications. The current project deals with subject of addition of natural cellulose fibers to concrete in order to study the strength properties.

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High Performance Concrete, Jute Fiber, Coir Fiber, GGBS, Metakaolin, Strength & Durability

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Diabetes is one of the most prevalent chronic diseases and its effect is increasing worldwide. This increase cannot be attributed to a single cause, but rather, to a combination of demographic, lifestyle and clinical factors. Reductions in behavioral patterns like smoking, alcohol consumption and tobacco may help in reducing the prevalence for diabetes. Changes in diagnosis criteria could also influence the number of cases that are identified. Finally, growing public and physician awareness could increase testing, and result in detection of more cases. The main objective of this study was to examine the prevalence of diabetes and risk factors associated in urban population of Jabalpur.

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Diabetes, prevalence, lifestyle and awareness.

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Public healthcare has been paid an increasing attention given the exponential growth human population and medical expenses. It is well known that an effective health monitoring system can detect abnormalities of health conditions in time and make diagnoses according to the gleaned data. As a vital approach to diagnose heart diseases, ECG monitoring is widely studied and applied. However, nearly all existing portable ECG monitoring systems cannot work without a mobile application, which is responsible for data collection and display. In this paper, we propose a new method for ECG monitoring based on Internet of-Things (IoT) techniques. Experiments are carried out on healthy volunteers in order to verify the reliability of the entire system. Experimental results reveal that the proposed system is reliable in collecting and displaying real-time ECG data, which can aid in the primary diagnosis of certain heart diseases.

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Arduino IDE, Android Studio, Arduino UNO, ECG Sensor, PPG sensor, Mobile device, Bluetooth Module.

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Recently decentralized cloud storage platforms become the future of distributed web due to easy, reliable, robust, faster access, storing and sharing of data. In this paper we presented a comprehensive study on decentralized cloud storage IPFS, FileCoin, Sia, Swarm and Storj platforms. These platforms are the backbone of an internet due to storage of huge amount of data. From the era of Web 1.0 of centralized system to Web 2.0 decentralized approach, now Web 3.0 of distributed decentralized web with use of IPFS, Sia, and Swarm and Storj storage platforms. Interplanetary File storage and FileCoin replaced HTTP traditional protocol. They worked on the requirements of the user with online backup services. All of these cloud platforms works on needs of the user for decentralized peer to peer storage but different in their implementation part. Further this paper studied the uses, advantages, disadvantages and their issues related to decentralized file systems.

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P2P, IPFS SiaCoin, FileCoin, Swarm, Storj

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The performance of the page replacement algorithms can be improved by augmenting it with some data along with the algorithm design. This can indeed optimize the time taken for the swapping process. In this system we are augmenting two data structures with LRU page replacement algorithm, they are doubly circular linked list and hash table. Doubly circular linked list is used because the traversal between the nodes is easier and faster. Hashing is more efficient in performing optimal searches and retrievals because it increases speed, better ease of transfer, better retrieval and reduce overhead. Furthermore Hashing can reduce disk space and access time by inserting and retrieving a page from the main memory in only one seek. Further we are comparing the performance of the classical LRU page replacement algorithm with the augmented LRU page replacement algorithm in terms of runtime.

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Least Recently Used Page Replacement Algorithm, Optimal page replacement Algorithm, Main Memory, Cache Memory, Doubly Circular Linked List, Splay Trees, Hash Tables, Skip list

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The natural integration of nanoparticles is a transformative process in the field of nanotechnology. Lanthanum nanoparticles have been used in various fields. In the present study, the extraction of bitter gourd was used to synthesize lanthanum nanoparticles. Visible UV spectroscopy was used for quantification. Integrated lanthanum nanoparticles identified by Fourier transform Spectroscopy (FTIR), Scanning Electron Microscopy (SEM), X-ray Diffraction (XRD) and synthetic lanthanum nanoparticles have shown excellent anti-inflammatory activity.

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Imitation, lanthanum nanoparticles, FTIR, SEM, XRD, anti-inflammatory activity etc.

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The present data is of different features of fishes out of which Weight is a response variable and others, Length1, Length2, Length3, Height, and Width are predictors. The present study is carried out with two reasons:- 1. To point out the important predictors. 2. To obtain the appropriate regression model.

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Backward elimination, Best subset regression, Blue revolution, Forward selection.

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