Internal Medicine

Our objective was to develop a model to predict the length of stay of patients using data from MCV. We conducted our analysis using a dataset of over 130,000 patients described by 66 features. The features contained clinical characteristics (e.g. diagnosis), facility characteristics (e.g. bed type), and socioeconomic characteristics (e.g. insurance type). Our study was focused on patients that stayed in the hospital. To cope with data imperfections, such as missing data, we applied data cleaning methods. Using learned domain knowledge, we identified 9 features to build our predictive models: admit source, primary insurance, discharge disposition, admit unit, iso result, icu order, stepdown order, general care order, and age. Regression algorithms were then applied for length of stay prediction, using two views: one with the complete dataset, and the second decomposed independently into ten most popular diagnosis outcomes. We then used regression to model the length of stay using the whole dataset as well as splitting the patients by diagnosis. This division was dictated by a high variance within the data. Obtained machine learning models were embedded in a web application created via Angular. The app allows the user to pick which disease they are modeling, the specific model(s) to use, and the values for the variables. It then computes the result and displays visualization of the weights.https://scholarscompass.vcu.edu/capstone/1176/thumbnail.jp

Influence du mûrissement sur l’évolution des propriétés mécaniques et structurales de l’alliage AlSi12Cu1Mg

This study is firstly to determine a compromise between strength and ductility of parts made of AlSi12Cu1Mg designated by EN AC-47100, on the other hand, it aims to evaluate the influence of curing time on behavior and damage in tension and impact, Brinell hardness, microhardness and microstructure considering the states: cast, tempered, and matured. The addition of 12% silicon (gives excellent casting properties), 1% copper (facilitates machining), and magnesium up to 1% to the aluminum are the main vectors and agents of improvement of the mechanical characteristics in addition to the specific heat treatments which reveal precipitates of different kinds (Al2Cu, Mg2Si, Si, Cu, Mg) which interfere with the displacement of the dislocations.La présente étude consiste d’une part à déterminer un compromis entre la résistance et la ductilité des pièces en AlSi12Cu1Mg désigné par la famille EN AC-47100, d’autre part, elle a pour but d’évaluer l’influence du temps de mûrissement sur le comportement et l’endommagement en traction et au choc, la dureté Brinell, la microdureté et la microstructure en considérant les états : brut de coulée, trempé, et maturé. L’ajout de 12% de silicium (donne d'excellentes aptitudes à la coulée), de 1% de cuivre (facilite l’usinage), et du magnésium jusqu’à 1% à l’aluminium, sont les principaux vecteurs et agents d’amélioration des caractéristiques mécaniques en plus des traitements thermiques spécifiques qui font apparaître des précipités de différents genres (Al2Cu, Mg2Si, Si, Cu, Mg) qui interfèrent le déplacement des dislocations.La présente étude consiste d’une part à déterminer un compromis entre la résistance et la ductilité des pièces en AlSi12Cu1Mg désigné par la famille EN AC-47100, d’autre part, elle a pour but d’évaluer l’influence du temps de mûrissement sur le comportement et l’endommagement en traction et au choc, la dureté Brinell, la microdureté et la microstructure en considérant les états : brut de coulée, trempé, et maturé. L’ajout de 12% de silicium (donne d'excellentes aptitudes à la coulée), de 1% de cuivre (facilite l’usinage), et du magnésium jusqu’à 1% à l’aluminium, sont les principaux vecteurs et agents d’amélioration des caractéristiques mécaniques en plus des traitements thermiques spécifiques qui font apparaître des précipités de différents genres (Al2Cu, Mg2Si, Si, Cu, Mg) qui interfèrent le déplacement des dislocations

Genome Integrity: A new open access journal

The full and final version of this article can be found at the link belowThis article has been made available through the Brunel Open Access Publishing Fund.This article is available through the Brunel Open Access Publishing Fund

Arabic linguistics in the book of Sibawayh in the Light of Modern Western Linguistics

رغم التباين الكبير في الظروف التي تكشف كلا من المنهجين: العربي والغربي والسياقات التاريخية والثقافية الخاصة التي يتميز بها كل واحد منهما، لم تعد المقابلة ما بين منهج سيبويه أو سواه من اللغويين العرب القدامى في دراسة اللغة، وبعض مناهج المدارس اللغوية الحديثة ضربًا من المجازفة أو المفارقة بسبب ما تنطوي عليه من مقارنة بين لغات تنتمي إلى أسر لغوية مختلفة، وذلك أن ثمة قدرًا كبيرًا من التشابه بينهما في الاتجاهات والآراء والنظريات المتصلة بالبحث اللغوي التي قد تحيل إلى المتأمل والمتمعن فيها أنها صدرت من منبع واحد، وليس أدلّ على ذلك ما أقر به كبار الباحثين اللغويين أمثال كارتر. إن مجال الدراسة ليس بتحديد فضل التقدم والسبق لسيبويه، وإنما هو الكشف عن الملامح المشتركة بين ما جاء به في الكتاب منذ قرون، وبين الاتجاهات الغربية الحديثة، كعلم اللغة الاجتماعي (Sociolinguistics)، والأنثروبولوجيا اللغوية (Linguistic Anthropology)، اعتمادًا على السياق الاجتماعي عند سيبويه، بالإضافة إلى الفلسفة وعلم النفس والتداولية (Pragmatique)، التي تمثل علاقة وطيدة بالتبليغ ودورها الفعال في الكشف عن مقاصد المتكلمين، ومن العجب أن يجد الباحث كل ما يضارع هذه الاتجاهات والنظريات الغربية في كتاب سيبويه، يتضح هذا من خلال المقارنة بين سيبويه وأبرز أعلام اللغة الغربيين، أمثال: دي سوسير، ومالينوفسكي، وبلومفيد، وكفتكنشتاين، وهابرماس، وأوستين وغيرهم. ووفق هذا الطرح، سأعالج في ورقتي البحثية هذه؛ اللسانيات العربية من خلال كتاب سيبويه من منظور اللسانيات الغربية الحديثة.Despite the great variation in the circumstances that reveal both the Arab and Western approaches and the special historical and cultural contexts that characterize each one of them, the comparison is no longer between Sibawayh’s curriculum or other ancient Arabic linguists in the study of language. Paradoxically because of the comparison between languages ​​belonging to different linguistic families, there is a great deal of similarity in the attitudes, views and theories related to linguistic research that may reveal to the contemplator and the discoverer that they are from one source. Evidence of this phenomenon has been acknowledged by senior researchers like Carter.      The area of ​​study is not the identification of the progress and the precedence of Sibawayh, but the discovery of the common features of what has been written in the book for centuries, and the modern Western trends such as sociolinguistics and linguistic anthropology. In addition to the philosophy, psychology and deliberation (pragmatic approach), which is a strong relationship with the reporting and its effective role in the detection of the purposes of the speakers, it is surprising that the researcher finds all that corresponds to these trends and Western theories in the book of  Sibawayh. This is illustrated by the comparison between Sibawayh and the most prominent Western linguists, namely, de Saussure and Malinowski, Blumvid and Kvtkinstaan, Habermas, Austin, and others. In this research, I intend to address the Arabic linguistics through Sibawayh’s book from the perspective of modern western linguistics

Are Status of Women and Contraceptive Prevalence Correlated in Pakistan?

Pakistan with an estimated population of around 142.5 million in mid 2001 is the seventh most populous country in the world and fourth in Asia and Pacific countries. The historical trends indicate a continuously increasing growth in population (Table 1). The population of the area now constituting Pakistan was 16.6 million in 1901. Since then the population has increased over eight-fold. Annual growth rates have risen from 1 percent in the first three decades of the century to around 2 percent in the next three decades and after peaking at little over 3 percent in the 1960s, has started showing a declining trend. Currently it is estimated that Pakistan’s population is growing at around 2.1 percent, still a very high rate of annual growth in population. Major contributing factor to the fast growth in population of Pakistan has been high fertility which has remained high for a very long period. It is evident that nearly 100 million population has been added to the population of Pakistan since 1961, that is, during the last four decades. Such rapid growth in population has several adverse implications for the socio-economic development of the country which has been offsetting the gains in social and economic development

Optimal Order Assignment with Minimum Wage Consideration (OOAMWC)

While the application of crowdsourcing has increased over the years, the technology experiences various issues during implementation. Examples of some of the issues that affect crowdsourcing include task assignment, profit maximizations, as well as time window issues. In some instances addressing some of the issues results in the other issues being overlooked. An example is when assigning tasks to workers, the profits of the workers might not be considered and this ends up affecting the profit maximization aspect. Various algorithms have been proposed to address the task assignment, profit maximizations, and time window issues. However, these algorithms address the issues individually and this results in the occurrence of the other noted issues. Therefore, this calls for the definition of a solution to address the task assignment issue while taking into consideration the time window issue and the minimum wage constraint. Additionally, the solution should address the profit maximization of not only the workers but also the platform and the clients of the platform. To evaluate the efficiency of the proposed solution, a comparison with the different implemented solutions to address individual issues is recommended. Comparing such solutions can provide insight into the efficiency of the proposed approach when addressing multiple issues affecting crowdsourcing

Critical Path Scheduling Parallel Programs on an Unbounded Number of Processors

International audienceIn this paper we present an efficient algorithm for compile-time scheduling and clustering of parallel programs onto parallel processing systems with distributed memory, which is called The Dynamic Critical Path Scheduling DCPS. The DCPS is superior to several other algorithms from the literature in terms of computational complexity, processors consumption and solution quality. DCPS has a time complexity of O (e + v\log v), as opposed to DSC algorithm O((e + v)\log v) which is the best known algorithm. Experimental results demonstrate the superiority of DCPS over the DSC algorithm

A near optimal algorithm for lifetime optimization in wireless sensor networks

International audienceA problem that has received a lot of interest in wireless sensor networks (WSN) is lifetime optimization. Indeed, in WSN each sensor node is battery powered and it is not convenient to recharge or replace the batteries in many cases, especially in remote and hostile environments. In this paper, we introduce an efficient energy-aware algorithm to enhance the lifetime of WSN by i) organizing/clustering the sensor nodes into disjoint cover sets where each cover set is capable of monitoring all the targets of the region of interest and ii) scheduling these cover sets successively/periodically. This study differs from previous works for the following reasons: i) it achieves near optimal solutions compared to the optimal ones obtained by the exact method and ii) unlike existing algorithms that construct gradually cover sets one after the other, our algorithm builds the different sets in parallel. Indeed, at each step of the clustering process, the algorithm attempts to add to each cover set a sensor capable of monitoring the most critical target (a critical target is defined to be the one covered by the smallest set of sensors). The choice of a sensor to be placed/clustered in each cover set is based on solving a linear assignment problem. The proposed algorithm provides a lower bound Kmin of the optimal number of disjoint cover sets Kopt . Intuitively, the upper bound Kmax of the optimal value is given by the size of the smallest set of sensors covering a target. We deduce Kopt by performing a binary search procedure. At each step of the binary search process, we check if there exists a partition of the sensors in K cover sets by solving an integer programming problem. Simulation results show the efficiency of our algorithm

Artifical neural network modelling of reverse osmosis process

With the increase in population and the scarcity of fresh water in the Middle East desalination has taken an important role in the provision of water for everyday use and for industrial purposes. Reverse osmosis water treatment process is of particular interest as it is one of the key processes in a desalination plant. The modelling of this process and the prediction of permeate flow is useful in better understanding the process. In the present study, an artificial neural network based model was developed based on plant data for the prediction of permeate flow performance. Plant data was collected and a number of variables determined. Principal component analysis was then carried and factor loadings obtained to identify the main variables. Once the main input variables were obtained a statistical analysis of the data was done in order to remove outliers present in the data. This was done because the presence of outliers in data to be analysed using ANN models renders the models ineffective in prediction of an output. Once the removal of outliers was done, the data was then analysed using the developed model. 1081 sets of data were originally used with twelve input variables. After principal component analysis was done the input variables were reduced to five with one output variable. With the removal of outliers 981 sets of data were obtained and these were then used in the model. The model was able to predict the output accurately with r2 at 0.97. Key factors determined from the process were that to obtain an optimum network one has to consider the epoch size, the transfer function, the learning rate and finally the number of nodes in the hidden layers. The number of hidden layers also had an effect on the overall prediction of the data. It is also important when using ANN models to obtain the correct input variables and to remove any outliers that are present in the data in order to be able to predict the output. The use of plant data severely limited optimisation of the process due to it already being heavily optimised

A standard study of the possibility of applying green human resources management at the Algerian University using the program SPSS

The study aims at the possibility of applying green human resources  management to the Algerian university. The study concluded that indicated the largest percentage does not agree with the practices of green human resources management, due to the university's adoption of traditional methods of attracting, employing training and green compensation, however, with the outbreak of the Corona virus, Covid 19, and the application of the distance education policy, it has suggested the possibility of applying green human resources practices and there is a link between green employment analysis and green human resources management., there is a correlation between green polarization and the management of green human resources, there is a correlation between green training and the management of green human resources, and There is a correlation between green compensation and green human resources management