The Method of (Al-nasb) on (Al-qate') in the Qur'an (A Semantic Study from Interpretation and Language Scholars' Point of View)

The Arabic language is the language of eloquence, and God Almighty has honored it with the revelation of the Qur'an on the methods of its people in discourse. And when the Qur'an was revealed, it witnessed the peak of maturity that made it fit to challenge the eloquent Arabs with a hadith like the Qur'an. The Arabs were unable to come up with fluent words that were similar to the Qur'an. The language of the Qur'an being challenged was extremely graceful, the most incapable of rhetoric, astonishing the listeners, and capturing minds and hearts as if it were magic because it is eloquent. For this reason, we aspired to reveal one of the methods of the Great Qur'an that came by the methods of the Arabs in eloquence and speech, which is where the singular noun contradicts what preceded it in the systems in syntax. As if it was alone in the systems. This method was called (the exception to the exclusion), and it is a broad method used by the Arabs in their speech, with the name ``Al-nasb for exclusion,'' sometimes ``by Al-nasb depending on praise and slander,'' and sometimes ``by Al-nasb by specialization.'' The reason for cutting the adjective from the descriptive is due to a special rhetorical reason in which the new meaning is performed more strongly, and is represented in showing praise, slander, or mercy by specifying the word from the context and not following it in an expression similar to it in the style of attention used by the Arabs, to alert the mind of the listener and activate it for the speech delivered. When the Arabs focus on praise and vilification, they want to single out the praised and the blameworthy to specialize in them. If the Arab wants to draw attention to what he wants of praise, slander, or mercy, he goes against what is accustomed to the common and familiar ways of expression, so he cuts the adjective from the participle, and does not follow it in the expression. The solution to the research problem is summarized by questions, including, What is the purpose of (Al-nasb) on (Al-qate')? Is it a style of the Arabs accustomed to the speech? What are the meanings that came from (Al-qate')? How can we deal with the opinions that say this way is wrong? Why were some Qur'anic words chosen in particular? What are the rhetorical cases for this method? The study required that the research be divided into four sections, preceded by an introduction and followed by a conclusion, in which we followed the inductive-analytical method. As for the sources, books on language, grammar, and meanings had the largest share, in addition to books on the interpretation of the Qur'an. Keywords: (Al-nasb) on (Al-qate'), accusative based on praise and slander, accusative based on mistake, indication of expression, indication of context, rhetorical method

A Review of Principal Component Analysis Algorithm for Dimensionality Reduction

Big databases are increasingly widespread and are therefore hard to understand, in exploratory biomedicine science, big data in health research is highly exciting because data-based analyses can travel quicker than hypothesis-based research. Principal Component Analysis (PCA) is a method to reduce the dimensionality of certain datasets. Improves interpretability but without losing much information. It achieves this by creating new covariates that are not related to each other. Finding those new variables, or what we call the main components, will reduce the eigenvalue /eigenvectors solution problem. (PCA) can be said to be an adaptive data analysis technology because technology variables are developed to adapt to different data types and structures. This review will start by introducing the basic ideas of (PCA), describe some concepts related to (PCA), and discussing. What it can do, and reviewed fifteen articles of (PCA) that have been introduced and published in the last three years

Sex Analysis of Lipid Profile in Diabetes Patients with and without Over Weight in Tikrit City/Iraq

Background: The overweight is one of the main reasons for the development of diabetes, so the lipid profile is different between the diabetes and the healthy people. In addition, there is a variation between the lipids profile according to sex difference in the diabetes patients. The main goal of the current study was to assessment the relationship between lipid profiles-based sex difference of diabetes patients (with and without overweight) and control group. Methodology: In this study, the glucose level and lipid profiles were determined for one hundred and forty volunteers, thirty-nine of them were healthy as a control group (25 females and 16 males), and one hundred and two had diabetes, 50 diabetes with overweight (25 females and 25 males) and 52 diabetes without overweight (27 females and 25 males). Results: Concerning the results of glucose level, the results of the current study showed significant differences between males and females in HbA1c test of control group (P=0.024) and in PPG test of Diabetes without overweight group (P=0.033). On other hands, our results found variation between men and women in other groups but not reach to significant differences. While the results of lipids profile showed significant differences between males and females in HDL_C test of diabetes without overweight group (P=0.0246) and in LDL_C test of control group (P=0.02). At the same time, our results recorded variation between men and women in other groups but not reach to significant differences. Conclusions: The research presents important results on the differences between sex and its content of lipid profiles in diabetic patients, although some differences did not reach at significant level, but they showed clear sex differences

HSO: A Hybrid Swarm Optimization Algorithm for Re-Ducing Energy Consumption in the Cloudlets

Mobile Cloud Computing (MCC) is an emerging technology for the improvement of mobile service quality. MCC resources are dynamically allocated to the users who pay for the resources based on their needs. The drawback of this process is that it is prone to failure and demands a high energy input. Resource providers mainly focus on resource performance and utilization with more consideration on the constraints of service level agreement (SLA). Resource performance can be achieved through virtualization techniques which facilitates the sharing of resource providers’ information between different virtual machines. To address these issues, this study sets forth a novel algorithm (HSO) that optimized energy efficiency resource management in the cloud; the process of the proposed method involves the use of the developed cost and runtime-effective model to create a minimum energy configuration of the cloud compute nodes while guaranteeing the maintenance of all minimum performances. The cost functions will cover energy, performance and reliability concerns. With the proposed model, the performance of the Hybrid swarm algorithm was significantly increased, as observed by optimizing the number of tasks through simulation, (power consumption was reduced by 42%). The simulation studies also showed a reduction in the number of required calculations by about 20% by the inclusion of the presented algorithms compared to the traditional static approach. There was also a decrease in the node loss which allowed the optimization algorithm to achieve a minimal overhead on cloud compute resources while still saving energy significantly. Conclusively, an energy-aware optimization model which describes the required system constraints was presented in this study, and a further proposal for techniques to determine the best overall solution was also made

Competitive Stripping of Multi-Organic Pollutants from Contaminated Water in Bubble Column Semi-Batch

Air  stripping  for  removal  of  Trichloroethylene  (TCE),  Chloroform  (CF)  and  Dichloromethane (DCM) from water were studied in a bubble column (0.073 m inside dia. and 1.08 m height with several sampling ports). The contaminated water was prepared from deionized water and VOCs. The presence of VOCs in feed solution was single, binary or ternary components. They were diluted to the concentrations ranged between 50 mg/l to 250 mg/l. The experiments were carried out in batch experiments which regard the bubble column as stirred tank and only gas was bubbled through stationary liquid. In this case transient measurements of VOC concentration in the liquid phase and the measured concentration profiles were modeled by bubble aeration model (BAM) to fit the experimental data fairly well. The results from batch experiments show that the removal efficiency of VOCs increases with increasing gas flow rate or gas holdup. It is found a pH=10 give the best removal rate, but all experiments were adjusted at pH=8 which allow to study other operating conditions. TCE is being removed faster than the other two components for all systems and a single component was removed faster than binary or ternary system. The KLa values were evaluated by fitting the BAM to the experimental data. It is found that KLa increased with increasing gas flow rate and TCE exhibits the highest KLa values

Infantile Nephropathic Cystinosis in Sulaimani Pediatric Teaching Hospital: A Retrospective Cohort Study

Cystinosis is a rare metabolic autosomal recessive disorder which characterized by intralysosomal accumulation of cystine. There are three forms; infantile nephropathic is the commonest forms. to evaluate clinical presentations and outcome of infantile cystinosis. A retrospective cohort study conducted in Sulaimani Pediatric Teaching Hospital on 25 patients with infantile cystinosis during May 1, 2014, to June 1, 2017. This study has depended on clinical symptoms and signs, and corneal crystallization for the diagnosis of cystinosis. Gender of the patients was 13 (52%) females and 12 (48%) males. The ages were ranged between (1-12 years) with a mean age of (6.25 years). Eight (32%) patients were from Sulaimani city, but the other 17 (68%) patients were from outside of Sulaimani. Moreover, a 17 (68%) of them were Arabic and the other eight (32%) were Kurdish ethnic groups. The study showed a 20 (80%) positive consanguinity with 19 (76%) positive family history of infantile cystinosis. Additionally, the age of first presentations was between (0.25-2 years) with a mean of (0.8 years). Clinical features included a 100% for polyuria, polydipsia, and failure to thrive. Furthermore, 10 (40%) presented with constipation, 23 (92%) photophobia and 5 (20%) blond hair. Complications included 24 (96%) rickets, 14 (56%) renal insufficiency, 5 (20%) hypothyroidism, 4 (16%) genu valgum, 3 (12%) growth hormone deficiency, and 3 (12%) developed end-stage renal disease. Subsequently, two patients died (8%) due to end-stage renal disease. Finally, there was a statistically significant relationship between both renal insufficiency (P-value = 0.042) and hypothyroidism (P-value < 0.001) with Kurdish ethnicity. Conclusion: Incidence of cystinosis was high among consanguineous parents and those patients who had a positive family history of cystinosis. Furthermore, the delay in diagnosis was due to atypical presentations and unavailability of specific investigations

Pulse Laser Parameters Effect on Tissue Thermal Damage Zone in Coagulation Process

Owed to wide use of pulsed lasers in a medical field, a deep understanding of their effects on the temperature increase in tissue and the subsequent tissue thermal damage in a coagulation process may be a matter of importance. The influence of laser beam profile, repetition rate and pulse width on temperature distribution and the subsequent thermal damage in tissue are studied using finite element method, which solves the axis-symmetry bio-heat equation in tissue subjected to far IR pulse laser irradiation. Some conclusions are obtained: as energy/pulse remains constant, Gaussian laser beam profile rather than a top-hat beam will increase the in-depth tissue thermal damage at and near the center of the spot region, increasing in repetition rate will increase the temperature distribution and subsequent damage zone. As pulse width decrease, high temperature may be reached leading to cause a quantitatively and qualitatively damage which can be recognize as an increase in the size of the damage zone and a higher value of thermal dose. An increase in pulse width will reduce the rate at which energy deposed in the tissue which result in low extent of temperature increase which result in reduction of the damage zone quantitatively and qualitatively

Security and accountability for sharing the data stored in the cloud‏

Important for cloud services the cloud computing share throw multiple clients , and it is more important to allocate resources for cloud service provider , cloud computing is an infrastructure that provides on demand network services , in relation , the most important feature of the cloud services is that user’s data are hosted in remote . While taking benefit of this new emerging technology, users’ fear of losing command of their own data, is becoming a noteworthy hurdle to the extensive implementation of cloud services. Cloud service provider module is to process data owner request for storing data files and application and provides cloud users log details to data owner for audit purpose, to address this problem framework based on information accountability to keep track and trial of the authentic handling of the users’ data in the cloud. The system proposed that the Data can be fully tracked by the owner and follow up the service agreements by depending on many items which access, usage control and management

HSO: A hybrid swarm optimization algorithm for reducing energy consumption in the cloudlets

Mobile Cloud Computing (MCC) is an emerging technology for the improvement of mobile service quality. MCC resources are dynamically allocated to the users who pay for the resources based on their needs. The drawback of this process is that it is prone to failure and demands a high energy input. Resource providers mainly focus on resource performance and utilization with more consideration on the constraints of service level agreement (SLA). Resource performance can be achieved through virtualization techniques which facilitates the sharing of resource providers’ information between different virtual machines. To address these issues, this study sets forth a novel algorithm (HSO) that optimized energy efficiency resource management in the cloud; the process of the proposed method involves the use of the developed cost and runtime-effective model to create a minimum energy configuration of the cloud compute nodes while guaranteeing the maintenance of all minimum performances. The cost functions will cover energy, performance and reliability concerns. With the proposed model, the performance of the Hybrid swarm algorithm was significantly increased, as observed by optimizing the number of tasks through simulation, (power consumption was reduced by 42%). The simulation studies also showed a reduction in the number of required calculations by about 20% by the inclusion of the presented algorithms compared to the traditional static approach. There was also a decrease in the node loss which allowed the optimization algorithm to achieve a minimal overhead on cloud compute resources while still saving energy significantly. Conclusively, an energy-aware optimization model which describes the required system constraints was presented in this study, and a further proposal for techniques to determine the best overall solution was also made