Predication Attacks Based on Intelligent Honeypot Technique

Honeypot combined with machine learning techniques is offered as a model for intrusion detection presented in the current research. Recent years have seen an uptick in the number of security initiatives implemented by every type of business. This requires anticipatory analysis of a potential attack in order to achieve the desired result. Honeypots are one of the instruments used to observe malicious actors in action. A honeypot is a type of network system used to detect intrusions into computer networks by observing and analysing the actions of potential intruders in a controlled, but vulnerable, setting. Improved outcomes in terms of true positives and false positives were also presented thanks to the use of the Decision Tree (DT). Both the overall accuracy in detecting attacks and the false alarm rate are enhanced by the suggested model-based honeypot and machine learning

Vitamin D Deficiency and Possible Risk Factors Among Middle Eastern University Students in London, Ontario, Canada

Objectives: To investigate vitamin D deficiency in Middle Eastern men and women aged 18-33 years who have immigrated to Canada for 5 years or less and attending Western University by measuring serum vitamin D 25- hydroxyvitamin level. Hypothesis: Middle Eastern population who has been living in Canada for 5 years or less would commonly have vitamin D deficiency as a result of multiple risk factors. Methodology: Fifty-one healthy Middle Eastern men and women aged 18-33 years who have been living in Canada for five years or less studying at the University of Western Ontario participated in the study. Serum vitamin D 25-hydroxyvitamin was measured by collecting blood samples, which were analyzed at a medical laboratory. Questionnaires were used to collect dietary data, lifestyles, cultural practices, sunlight exposure, and any etiology of non-specific signs or symptoms of vitamin D deficiency. Results: Thirty three percent (33%) of the males and 35% of the females had insufficient vitamin D, which falls between 25-74 nmol/L. Females were more deficient (\u3c 25 nmol/L) in vitamin D (22%) than males (8%). Forty three percent of the younger age had more insufficient and deficient values compared to the slightly older group. Participants who have been in Canada for less than 3 years had more deficient and insufficient vitamin D values. Twenty three percent of the participants who had suffered from malady were vitamin D deficient. Participants who were not taking vitamin D, calcium, and multivitamin supplements had more deficient and insufficient vitamin D values. Additionally, only 4 % of the participants who spent more than 30 minutes per day outdoors under the sun were vitamin D deficient. Participants who were mostly covered by their clothing had more deficient and insufficient vitamin D values. Value of the research: Published studies in Middle Eastern population show a significant risk of vitamin D deficiency with other related diseases. A majority of this population share similar lifestyles, cultural practices and dietary habits. Further research needs to be done to help future dietitians become more knowledgeable about the major factors that threaten their vitamin D status. Implementation of programs based on the results of this study may increase awareness of the importance of vitamin D for bones and general health. Possible solutions may help this population get the needed vitamin D from different sources that are within their cultural practices and lifestyles

Police powers, legal rights and pre-trial procedures in Saudi Arabia : a comparison with England and Wales

The exercise of police powers is subject to rules and guidelines, and the event of police powers has occasioned considerable controversy since the inception of the 'new police'. On the one hand, the police clearly need powers to stop people on the street if they are suspected of a crime, to enter people's houses if they suspect that they are hiding stolen goods or firearms and to arrest people they suspect of a crime. They need to be able to interview suspects in the police station and may have to hold suspects in cells. On the other hand, individual citizens need to be able to carry on with their everyday lives without risking being stopped on the streets, having their homes ransacked by the police and being arrested and taken to the police station. Suspects must be protected from torture, brutality and the extraction of false confessions. Special protection may be afforded to vulnerable groups such as the young and mentally ill. Legislation on police powers, therefore, must balance conflicting needs.Saudi Arabia the Stop, Arrest, Detention and Custody Regulation (SADC) was set up in 1983. The regulation provided powers relating to stop and search, arrest, detention. interviewing, and the investigation of crimes It seeks to protect suspects from the abuse of such powers by granting to suspects certain rights and protections. In practice, however, the balance between the use of the powers and suspects' rights is different. The police appear to exceed their powers as they provided and the safeguards are ignored.Therefore, the question is, how do the pre-trial procedures work in practice? No research has been done to examine the pre-trial process in practice in Saudi Arabia.Data collection for the study as carried out using three methods: questionnaire, observation and documentary data from police files.In this research variations have been found between the official regulation and actual police practice

Real Time Vehicle License Plate Recognition on Mobile Devices

Automatic license plate recognition is useful in many contexts such as parking control, law enforcement and vehicle background checking. The high cost and low portability of commercial systems makes them inaccessible to the majority of end users. However, current mobile devices now have processors and cameras that make image processing and recognition applications feasible on them. This thesis investigates high accuracy real-time license plate recognition on a smartphone, taking into account device limitations. It first explores how, using the minimal image processing and simple configurable heuristics based on plate geometry, license plates and their characters can be detected in an image. Then, using minimal training data, it shows that a character recognition package can achieve high levels of accuracy. This approach accurately recognized 99 percent of plates appearing in a test set of videos of vehicles with New Zealand license plates

An Exploratory, Descriptive Study of the Attitudes of Instructors and Students toward the Use of Asynchronous Online Discussion at a Female University in Saudi Arabia

This exploratory, descriptive study examined instructor and female student attitudes toward asynchronous online discussion (AOD) in Saudi Arabia. Preliminary results, derived from an attitudinal-based survey, indicated that, in aggregate, instructors and students had positive attitudes toward using AOD at a female institution of higher education in Saudi Arabia. Inferentially, the two groups differed in their perceptions of using AOD in some instances. Additional results indicated that instructors were willing to teach using AOD and female students were agreeable to using AOD in their classes

An exploration of factors influencing health managers' acceptance of eHealth services in the Kingdom of Saudi Arabia.

Kingdom of Saudi Arabia (KSA) is a country with one of the largest land masses and difficult geographical terrain in the Middle East. The accessibility of advanced health services, especially for people in rural areas, has been considered one of the main health challenges. Health services across the country are accessible through three categories of providers. The Ministry of Health (MOH) which is the dominant health provider responsible for 60% of all health services and facilities. Private health sector and other government run health authorities are the providers for the remaining 40%. Many initiatives to embrace technology in healthcare were launched by the MOH to advance the level of acceptance. One of the initiatives was the ambitious eHealth national strategy which was launched in 2011 to govern eHealth projects across the country and set consistent standards, policies, and procedures for the practice activities. This study is sponsored by the MOH as part of a bigger plan to involve stakeholders in the digital transformation

Subspace Identification of a Glucose-Insulin model Using Meal Tracer Protocol Measurements

In this study, the problem of identifying a low complexity state space model describing glucose and insulin dynamics from low sample meal tracer experiments is investigated. Triple tracer meal protocol measurements (sampled as low as 15 samples per meal) together with continuous glucose monitoring measurements, measured concurrently at a rate of 5 minutes per sample, are used. A new formulation to estimate the missing input and output measurements at such low sample rates is developed. Nuclear norm minimization is used to exploit low rankness of the stacked input and output matrix, while the {ell1} norm is used to exploit an available sparse basis for the glucose flux profiles. Simulation results, using the UVa Padova simulator, show that the technique outperforms previous methods and also demonstrate the possibility of identifying state space models from triple tracer measurements with good prediction performance under non-ideal conditions

Impact of Glycemic Control on Shoulder Proprioception in Type 2 Diabetes Mellitus: Mediating the Connection - Insights from a Cross-Sectional Analysis

Mastour Saeed Alshahrani,1,&ast; Ravi Shankar Reddy,1,&ast; Adel Alshahrani,2,&ast; Saud F Alsubaie3,&ast; 1Department of Medical Rehabilitation Sciences, College of Applied Medical Sciences, King Khalid University, Abha, 61421, Saudi Arabia; 2Department of Medical Rehabilitation Sciences-Physiotherapy Program, College of Applied Medical Sciences, Najran University, Najran, 55461, Saudi Arabia; 3Department of Health and Rehabilitation Sciences, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia&ast;These authors contributed equally to this workCorrespondence: Ravi Shankar Reddy, Department of Medical Rehabilitation Sciences, College of Applied Medical Sciences, King Khalid University, Abha, 61421, Saudi Arabia, Tel +966 503587903, Email [email protected]: Shoulder proprioception is vital and this cross-sectional study investigated the association between glycemic control and shoulder joint proprioception in Type 2 Diabetes Mellitus (T2DM).Methods: A total of 120 participants, including 60 with T2DM and 60 healthy individuals, were assessed for shoulder joint position sense (JPS) using a digital inclinometer. The T2DM group exhibited significantly greater mean shoulder joint position errors in flexion (4.32° vs 2.15°), abduction, medial rotation, and lateral rotation compared to the healthy group (p < 0.001).Results: The study found significantly greater shoulder joint position errors in the T2DM group compared to the healthy group, highlighting notable proprioceptive deficits in individuals with T2DM. Additionally, a significant positive correlation was found between HbA1c levels and shoulder joint position errors in the T2DM group, suggesting a link between long-term glycemic control and proprioceptive accuracy.Discussion: The significant positive correlation between HbA1c levels and shoulder joint position errors suggests that poor glycemic control is associated with impaired proprioception in T2DM patients. This underscores the need for comprehensive management strategies to mitigate proprioceptive deficits and improve the quality of life in individuals with T2DM.Keywords: joint position sense, diabetes complications, sensory feedback, neuromuscular function, HbA1c Level

An Internet of Things Based Air Pollution Detection Device for Mitigating Climate Changes

Climate Change, a key stabilizing factor, has now exceeded critical thresholds. The high energy consumption of cities is a major contributor to climate change because of CO2 emissions. In addition to the rise in urban populations throughout the worldwide, the complexity of todays cities and the strain they put on limited resources means that the causes and consequences of climate changes become even more concentrated. Internet of Things (IoT) advancements provide several possibilities for reducing the effects of climate change by merging existing information, design techniques, and breakthrough technology. The current state of monitoring technology is subpar; it is insensitive, inaccurate, and requires laboratory examination. Consequently, new, and better methods of surveillance are required. Air pollution is one of the main causes of climate change. We suggest a new IoT-based monitoring device for air pollution to address the shortcoming of the current setup. Gas sensors, Arduino IDE, and Wi-Fi module were used to assemble the IoT kit. The air is analyzed by the gas sensors, and the results are sent to the Arduino software development environment. By using a WiFi module, the Arduino IDE may send data to the monitor. The resulting device may be deployed in different cities to monitor the levels of air pollution with little cost, easy to use and high accuracy

Evaluación de la prescripción y uso de medicamentos supresores de ácido en hospitales centrales en la región de Abha, Arabia Saudita

Objective: The aim of this study was to study and assess the indications of acid suppressive drugs and to find out percentage of irrational prescriptions with acid suppressive drugs. Material/Methods: It is a prospective observational study conducted in the Armed Forces Hospitals Southern Region and Abha Maternity Hospital, both in Abha in Assir region (Saudi Arabia). The sample size of study was 185 patients. The case sheets of the patients’ prescription order were reviewed for acid suppressive drugs prescription and relevant data was taken. Patients’ age above 18 were identified. The duration of study was 8 weeks, between May and June 2017. Results: Our results showed that the majority of the prescriptions of proton pump inhibitors (68.1%) were unjustifiable and that proton pump inhibitor was the most commonly prescribed acid suppressive drugs for the patients (97.8%). The frequency of prescribing for the autism spectrum disorders in our study was found to be higher in patients with an existing risk factor and was mostly recommended by physicians as concomitant medications (67.6%). The most common concomitant medications used with the proton pump inhibitors were non-steroidal anti-inflammatory drugs (29.2%) in which aspirin composed 13.5% of the non-steroidal anti-inflammatory drugs prescribed followed by antimicrobials (9.2%). Conclusion: Acid suppressive drugs are the most commonly prescribed drugs with no proper indications hence irrational. Based on the results of this study, creating awareness about reasonable use of acid suppressive drugs is a necessity.Objetivo: El objetivo de este estudio fue estudiar y evaluar las indicaciones de los medicamentos supresores de ácidos y averiguar el porcentaje de recetas irracionales con medicamentos supresores de ácidos. Material / Métodos: es un estudio observacional prospectivo realizado en los Hospitales de las Fuerzas Armadas del Sur y en el Hospital de Maternidad Abha, ambos en Abha en la región de Assir (Arabia Saudita). El tamaño muestral del estudio fue de 185 pacientes. Se revisaron las hojas de casos de orden de prescripción de los pacientes para la prescripción de medicamentos supresores de ácido y se tomaron los datos pertinentes. Se identificó la edad de los pacientes mayores de 18 años. La duración del estudio fue de 8 semanas, entre mayo y junio de 2017. Resultados: nuestros resultados mostraron que la mayoría de las prescripciones de inhibidores de la bomba de protones (68,1%) eran injustificables y que este era el fármaco supresor de ácido más comúnmente prescrito para los pacientes (97,8%). La frecuencia de prescripción para los trastornos del espectro autistas en nuestro estudio, fue mayor en pacientes con un factor de riesgo existente y fue recomendada principalmente por los médicos como medicamentos concomitantes (67,6%). Los medicamentos concomitantes más comunes que se usaron con los inhibidores de la bomba de protones fueron los antiinflamatorios no esteroideos (29.2%) en los cuales la aspirina supuso el 13,5% de los antiinflamatorios no esteroideos prescritos, seguidos por los antimicrobianos (9.2%) Conclusión: los medicamentos supresores de ácido son los medicamentos más comúnmente recetados sin indicaciones adecuadas, por lo que son irracionales. Basado en los resultados de este estudio, crear conciencia sobre el uso razonable de los medicamentos supresores del ácido es una necesidad