Effect of employing artificial intelligence tools in dry laboratories on laboratory performance skills and the level of anxiety from the point of view of secondary school students

The study aimed to identify the effect of employing artificial intelligence tools in dry laboratories on laboratory performance skills and the level of anxiety from the point of view of secondary school students. The study sample consisted of 104 secondary school students in Madinah, and the study included two types of variables, the independent variable, which is the artificial intelligence tools in dry laboratories, and the dependent variables, which are laboratory performance skills and laboratory performance anxiety. The results showed a significant impact of employing artificial intelligence tools in dry laboratories on developing laboratory performance skills and reducing the level of laboratory performance anxiety. The study recommended educating secondary school students about the importance of artificial intelligence tools in virtual laboratories (dry laboratories). In addition to activating artificial intelligence tools in virtual laboratories (dry laboratories) in developing laboratory application skills and reducing laboratory anxiety

Hardware architecture for popcount

Bit-counting implementations are used to count the number of 1\u27s in a given computer word. There are several techniques to implement bit-counting operation. These techniques are either software algorithms or specialized hardware techniques. The hardware implementations require dedicated hardware supported in the processor or associated math co-processor. The performance of the hardware-supported bit-counting was found to be superior to most software implementations (such as serial shifting). In this paper, a new hardware implementation of bit-counting routine is presented that reduces the number of logic gates and the delay in comparison with existing implementations. The performance of the proposed hardware bit-counting implementations is further investigated and evaluated

Post-thyroidectomy hypocalcemia in King Abdullah University Hospital and Princess Basma Teaching Hospital, Jordan

Background: Thyroidectomy is one of the major and delicate operations commonly performed in surgical units. This study was aimed at determining the incidence of hypocalcaemia after thyroidectomy operation among patients who underwent thyroidectomy in two teaching hospitals in the north of Jordan.Methods: This was a retrospective study of 152 patients who underwent thyroidectomy in two teaching hospitals in the north of Jordan. Their medical records were reviewed to evaluate the incidence of post-thyroidectomy hypocalcaemia. Information about sex, age, extent of surgery, thyroid pathology, serum calcium level and the inadvertent removal of parathyroid glands during thyroidectomy was collected.Results: Postoperatively, 44 (29.0%) patients had their serum calcium decreased but remained within the normal range. Ten (6.6%) of the patients had transient hypocalcaemia while 4 (2.6%) had permanent hypocalcaemia. Most patients with hypocalcaemia had benign disease. Ten (6.6%) patients had had inadvertent removal of parathyroid glands but only one of them had transient hypocalcaemia.Conclusions: The incidence of post-thyroidectomy hypocalcaemia is low but exists and should be considered as a possible post-thyroidectomy complication

Operation properties and δ-equalities of complex fuzzy sets

A complex fuzzy set is a fuzzy set whose membership function takes values in the unit circle in the complex plane. This paper investigates various operation properties and proposes a distance measure for complex fuzzy sets. The distance of two complex fuzzy sets measures the difference between the grades of two complex fuzzy sets as well as that between the phases of the two complex fuzzy sets. This distance measure is then used to define equalities of complex fuzzy sets which coincide with those of fuzzy sets already defined in the literature if complex fuzzy sets reduce to real-valued fuzzy sets. Two complex fuzzy sets are said to be d-equal if the distance between them is less than 1 d. This paper shows how various operations between complex fuzzy sets affect given δ-equalities of complex fuzzy sets. An example application of signal detection demonstrates the utility of the concept of δ-equalities of complex fuzzy sets in practice

Novel Approach for Modeling Wireless Fading Channels using a Finite State Markov Chain

yesEmpirical modeling of wireless fading channels using common schemes such as autoregression and thefinitestate Markov chain (FSMC) is investigated. The conceptual background of both channel structures and the establishment of their mutual dependence in a confined manner are presented. The novel contribution lies in the proposal of a new approach for deriving the state transition probabilities borrowed from economic disciplines, which has not been studied so far with respect to the modeling of FSMC wireless fading channels. The proposed approach is based on equal portioning of the received signal-to-noise ratio, realized by using an alternative probability construction that was initially highlighted by Tauchen. The associated statistical procedure shows that afirst-order FSMC with a limited number of channel states can satisfactorily approximate fading. The computational overheads of the proposed technique are analyzed andproven to be less demanding compared to the conventional FSMC approach based on the levelcrossing rate. Simulations confirm the analytical results and promising performance of the new channel modelbased on the Tauchen approach without extracomplexity costs

The critical risk factors that influence production-oriented projects in the United Arab Emirates : a ‘best-worst method’ (BWM) analysis

The aim of this paper is to categorize and prioritize the critical risk factors that influence production-oriented projects. Utilizing data obtained from the metal production (manufacturing) and fabrication industry in United Arab Emirates, we employ multicriteria decision analysis encompassing the ‘Best-Worst Method’ (BWM) for factor ranking and categorization. The outcome of this exercise being the development of substantial proficiency in risk management that will have a significant impact on the overall success of projects commissioned within the production space. Findings drawn against an integrated ‘Technology–Organization–Environment’ and ‘Four levels of uncertainty’ framework suggests that ‘Automation,’ ‘Cycle time,’ and ‘Feed rate’ (technological factors), ‘Manpower utilization’ and ‘Agility’ (organizational factors), and ‘Occupational health and safety’ (environmental factors), ranked highest in terms of critical risk factors likely to impact upon the outcome of projects. This paper makes a specific contribution to the literature in that our use of an integrated ‘Technology–Organization–Environment’ – ‘Four levels of uncertainty’ framework as a risk intelligence focused typology allows us to focus on proactive as against reactive management of risk. This forms the core element of our theorization of risk knowledge as risk intelligence

LSP-Constrained Supply Chains: A Discrete Event Simulation Model

In this paper, we present a logistics service provider (LSP) constrained supply chain problem, particularly; we propose a novel supply chain model that consists of three layers of non-cooperative manufacturers, distribution centers and retailers. Products flow from the manufacturers across different warehouses to retailers via LSP. Inventories at warehouses follow smooth and continuous replenishment policy, i.e., perpetual review. The supply chain is represented as an optimization model that maximizes the revenue of manufacturers meets the retailers’ demand and at the same time identifies the necessary warehouses, particularly for supply chains that are affected by leadtime (LT) variation such as fast response industry and short life products. The model solution is adaptive; it determines the best manufacturing rates and identifies the logistic bottlenecks in dynamic supply chain networks. Numerical solutions along with simulation experiments of different supply chain topologies are presented. The simulation results demonstrate the model capability to maximize the revenues by tuning the manufacturing rates and monitoring the workinprocess, products in transit as well as products in inventorie

التَّنمُّر عبر وسائل التَّواصل الاجتماعيّ "دراسة سوسيولوجيَّة ميدانيَّة في جامعة دمشق" قسم علم الاجتماع أنموذجاً

حتَّى وقتٍ قريب كانت مُمارسات التَّنمُّر محصورة في التَّنمُّر اللفظيّ كإطلاق الألقاب، والتَّنمُّر البدنيّ كالضَّرب، والتَّنمُّر الاجتماعيّ كعزل شخصٍ ما، واستبعاده من النَّشاطات الاجتماعيَّة، أمَّا في عصرنا الحاليّ فقد كان لتطور وسائل الاتِّصال في السَّنوات الأخيرة، واتِّساع الفضاء الإلكترونيّ، وتنامي البرامج التي تُشكِّلُ مجتمعاً افتراضيَّاً واسع النِّطاق في حياة كلِّ فردٍ منَّا كـ (فيسبوك، تويتر، انستغرام، تلغرام، وغرف الدَّردشة)، دوراً كبيراً في ظهور نوعٍ جديدٍ من التَّنمُّر، ألا وهو التَّنمُّر الإلكترونيّ. يتناول البحث الحاليّ دراسة ميدانيَّة حول التَّنمُّر الإلكترونيّ عبر وسائل التَّواصل الاجتماعيّ، ودور الجنس والمدَّة التي يقضيها الفرد على وسائل التَّواصل الاجتماعيّ، في ارتفاع أو انخفاض سلوك التَّنمُّر، ولتحقيق أهداف البحث، استخدم مقياس سلوك التَّنمُّر للدكتورة أمينة الشّناوي، المعتمد عام (2014)، وتطبيقها على طلاب السَّنة الرَّابعة، قسم علم الاجتماع، كليَّة الآداب، جامعة دمشق، وبلغ حجم العينة(90) مفردة. أظهرت نتائج الدِّراسة وفق المتغيِّرات التي طرحها البحث، وجود علاقة ذات دلالة إحصائيَّة بين متغيِّر الجنس ونسب التَّنمُّر الإلكترونيّ، وعدم وجود علاقة ذات دلالة إحصائيَّة بين المدَّة التي يقضيها الفرد على وسائل التَّواصل الاجتماعيّ وازدياد نسبة التَّنمُّر عند مستوى الدّلالة (0.05) وتمَّت الدِّراسة الإحصائيَّة وفق اختبار ت (ستودينت