307 research outputs found

    AN EXPLORATORY STUDY OF HUMAN RESOURCE DEVELOPMENT PRACTICES IN TELECOM INDUSTRY IN SAUDI ARABIA: A CASE STUDY OF PRIVATE SECTOR

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    The telecom sector of Saudi Arabia holds the largest position in the entire Middle East. After staying dormant until 2000, the telecom sector recorded supernormal growth in the past decade, thanks largely to liberalization of the sector since 2003. Today, the sector is highly competitive, with private players vying for market share by aggressively cutting tariffs—in fact, this has been the trend for five years now.The reason for which Saudi Arabia is so attractive to all the telecom operators is the combination of its population size and wealth. The growing importance of this sector has attracted the attention of the Researchers in the present research paper is to make an empirical study of private sector telecom industry regarding the HRD practices. The case study selected by the Researchers is of Mobily Telecom Company. A survey questionnaire has been constructed and administered among the employees of Mobily at managerial and non-managerial level from the selected districts of regions of Saudi Arabia. The Sample of the study has been undertaken of 85 employees. The study brings out the existing picture of HRD practices in Private Sector Telecom Company and offers suggestions to improve the pace of such practices wherever they need improvement

    The Parallel Persistent Memory Model

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    We consider a parallel computational model that consists of PP processors, each with a fast local ephemeral memory of limited size, and sharing a large persistent memory. The model allows for each processor to fault with bounded probability, and possibly restart. On faulting all processor state and local ephemeral memory are lost, but the persistent memory remains. This model is motivated by upcoming non-volatile memories that are as fast as existing random access memory, are accessible at the granularity of cache lines, and have the capability of surviving power outages. It is further motivated by the observation that in large parallel systems, failure of processors and their caches is not unusual. Within the model we develop a framework for developing locality efficient parallel algorithms that are resilient to failures. There are several challenges, including the need to recover from failures, the desire to do this in an asynchronous setting (i.e., not blocking other processors when one fails), and the need for synchronization primitives that are robust to failures. We describe approaches to solve these challenges based on breaking computations into what we call capsules, which have certain properties, and developing a work-stealing scheduler that functions properly within the context of failures. The scheduler guarantees a time bound of O(W/PA+D(P/PA)log1/fW)O(W/P_A + D(P/P_A) \lceil\log_{1/f} W\rceil) in expectation, where WW and DD are the work and depth of the computation (in the absence of failures), PAP_A is the average number of processors available during the computation, and f1/2f \le 1/2 is the probability that a capsule fails. Within the model and using the proposed methods, we develop efficient algorithms for parallel sorting and other primitives.Comment: This paper is the full version of a paper at SPAA 2018 with the same nam

    Spontaneous Per Oral Explantation of Intragastric Balloon—A Case Report

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    AbstractObesity is a modern-day pandemic that was once a disease of only the affluent Western world. However, over the years it has achieved a global footprint. The need to treat obesity with nonsurgical means in patients who do not qualify or refuse bariatric surgery or in some patients as a bridge to surgery is all the more relevant now. It is for this subset of patients that a modality like the intragastric balloon holds promise. Previously reported complications of the balloon include esophagitis, severe nausea and vomiting, abdominal cramps, hiccoughs, belching, intestinal obstruction, gastric perforation, pancreatitis, and aspiration.1 Balloon rupture/leak leading to intestinal migration and obstruction has been managed by surgical intervention. Review of literature did not reveal any report of spontaneous per oral explantation of the deflated balloon. We are reporting a case of the same

    Habitat use pattern and conservation status of smooth–coated otters Lutrogale perspicillata in the Upper Ganges Basin, India

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    Modelo de uso del hábitat y estado de conservación de las nutrias lisas Lutrogale perspicillata en la zona alta de la cuenca del Ganges, India Las nutrias lisas habitan en varios sistemas fluviales importantes del Asia meridional y sus necesidades medioambientales las vinculan con problemas de seguridad alimentaria e hídrica, debido a la elevada densidad de humanos. La falta de datos de referencia sobre su distribución y ecología es otra limitación notable que la especie está afrontando en la India. El presente estudio se vio impulsado por el rápido descenso de la población de nutrias en el país y se centra en estimar el estado de conservación, el modelo de uso del hábitat y las amenazas asociadas en la zona alta de la cuenca del río Ganges (Asia septentrional). Nuestros resultados contribuyen a comprender mejor las complejas interacciones ecológicas y a elaborar medidas de conservación eficaces. Junto con las preferencias de hábitat, en el estudio también se informa sobre nuevas ubicaciones en la distribución de la especie. Asimismo se ponen de relieve las deficiencias existentes en la conservación de la especie y se sugieren las zonas cuya ordenación debería ser prioritaria.Smooth–coated otters inhabit several major river systems in southern Asia, and their environmental requirements link them to food and water security issues as the region is so densely populated by humans. The lack of baseline data on their distribution and ecology is another major constraint that the species is facing in India. The present study was stimulated by the rapid decline in the otter’s population in the country and focuses on estimating the conservation status, habitat use pattern, and associated threats in the upper Ganges River Basin (N India). Our findings contribute towards a better understanding of the complex ecological interactions and the design of effective conservation measures. Coupled with the habitat preferences, the study also provides new locations in the species distribution. This paper highlights the gap areas in the conservation of the species and suggests areas that should be prioritized for management.Modelo de uso del hábitat y estado de conservación de las nutrias lisas Lutrogale perspicillata en la zona alta de la cuenca del Ganges, India Las nutrias lisas habitan en varios sistemas fluviales importantes del Asia meridional y sus necesidades medioambientales las vinculan con problemas de seguridad alimentaria e hídrica, debido a la elevada densidad de humanos. La falta de datos de referencia sobre su distribución y ecología es otra limitación notable que la especie está afrontando en la India. El presente estudio se vio impulsado por el rápido descenso de la población de nutrias en el país y se centra en estimar el estado de conservación, el modelo de uso del hábitat y las amenazas asociadas en la zona alta de la cuenca del río Ganges (Asia septentrional). Nuestros resultados contribuyen a comprender mejor las complejas interacciones ecológicas y a elaborar medidas de conservación eficaces. Junto con las preferencias de hábitat, en el estudio también se informa sobre nuevas ubicaciones en la distribución de la especie. Asimismo se ponen de relieve las deficiencias existentes en la conservación de la especie y se sugieren las zonas cuya ordenación debería ser prioritaria

    On some Mann's type iterative algorithms

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    AbstractFirst we present some interesting variants of Mann's method. In the last section, we show that many existing results in the literature are concrete realizations of our general scheme under varying assumptions on the coefficients

    LCA of hospital solid waste treatment alternatives in a developing country: The case of District Swat, Pakistan

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    Improper management of hospital waste leads to serious health and environmental issues, particularly in the case of developing countries, where, often, applied technologies are obsolete and there is a lack of compliance with respect to international best practices. The present study is designed to assess the environmental impacts of hospital waste management practices in Swath District, Pakistan. For this purpose, a life-cycle assessment (LCA) is applied for the estimation of different impacts of current and alternative hospital solid waste (HSW) treatment practices. Two scenarios are used to describe the current alternative practices (Scenario A and Scenario B), referring either to incineration or to direct landfilling of HSW without any sorting of collected materials. Conversely, Scenario C, which includes the use of pyrolysis and chemical disinfection, are considered as an up-to-date alternative, based on current international recommendations in this field. Prior to the analysis of impacts, due to the lack of available information, data were directly collected from both government and private hospitals in District Swat, involving measurements and a characterization of collected waste. In parallel, interviews were conducted, involving the hospitals' personnel. With respect to waste generation, government hospitals produce a larger amount of waste (74%) compared to private hospitals (24%). Poor regulatory indications and the absence of clear obligations for collection, disposal and management still represent a first obstacle to implement good practices. After defining the boundary of the system and the functional unit, according to standardized LCA practices, a life-cycle impact assessment (LCIA) was conducted, considering eight impact categories: human toxicity, freshwater eco-toxicity, marine aquatic eco-toxicity, terrestrial eco-toxicity, acidification potential, climate change, eutrophication and photochemical oxidation. The current practices (Scenario A and Scenario B) turned out to be the worst for all categories. In particular, the largest impact of all is recorded for human toxicity generated by incineration. In parallel, it must be considered that, currently, no recycling or reusing practices are implemented. Conversely, Scenario C (alternative up-to-date practices) would generate lower impacts. In detail, the highest value was recorded for marine aquatic ecotoxicity in relation to pyrolysis. Applying Scenario C, it would be possible to recover some materials, such as plastics, paper and sharps. In detail, considering the observed compositional characteristics, it would be possible to recover up to 78% of sharps and recycle 41% of plastic and paper from the general waste stream. Moreover, energy could be recovered from the pyrolysis process, generating a further benefit for the surrounding area. A lack of awareness, knowledge and infrastructures prevents the application of correct management practices, further degrading life and environmental conditions of this remote region of Pakistan. The huge difference in impacts between current practices and alternatives is demonstrated, showing a clear alternative for future management plans in this remote region and supporting future actions for local policymakers and hospital managers

    Thoughts and Progress

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/75183/1/j.1525-1594.1999.06248.x.pd

    Adam Deep Learning with SOM for Human Sentiment Classification

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    Nowadays, with the improvement in communication through social network services, a massive amount of data is being generated from user's perceptions, emotions, posts, comments, reactions, etc., and extracting significant information from those massive data, like sentiment, has become one of the complex and convoluted tasks. On other hand, traditional Natural Language Processing (NLP) approaches are less feasible to be applied and therefore, this research work proposes an approach by integrating unsupervised machine learning (Self-Organizing Map), dimensionality reduction (Principal Component Analysis) and computational classification (Adam Deep Learning) to overcome the problem. Moreover, for further clarification, a comparative study between various well known approaches and the proposed approach was conducted. The proposed approach was also used in different sizes of social network data sets to verify its superior efficient and feasibility, mainly in the case of Big Data. Overall, the experiments and their analysis suggest that the proposed approach is very promissing

    Evaluation of efficacy and safety of a polyherbal Unani formulation in diabetes mellitus type 2 (Zayābīṭus Sukkari Qism Sāni) - a randomised controlled clinical study

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    15-20Diabetes mellitus type 2 (Zayābīṭus Sukkari Qism Sāni) is a major health concern in 21st century. Despite tremendous advances in modern sciences, there is a lack of relatively safe and effective drug for its management. The primary objective of this study was to evaluate the efficacy and safety of a polyherbal Unani formulation containing Gurmar booti (Gymnema sylvestre), Gilo (Tinospora cordifolia) and Jamun (Syzygium cumini) in the management of Diabetes Mellitus Type 2 (DMT2). It was a randomised controlled clinical study conducted on 60 participants of DMT2 inadequately controlled by diet and exercise. The test drug was given to group-A participants (n=30) 6 g twice daily orally for 12 weeks and the standard drug metformin (500 mg) was given twice daily orally to group-B participants (n=30). It was observed that the difference between the Mean (± SD) value of fasting blood glucose (FBG), postprandial blood glucose (PPBG) and glycosylated haemoglobin (HbA1c) in Test and Control groups at the end of the study in comparison to baseline was significant (p<0.05). This study concludes that the test drug was effective in reducing FBG and PPBG significantly in diabetic participants’ at 12 weeks of treatment
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