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Whale Optimization Algorithm Strategies for Higher Interaction Strength T-Way Testing

Computers, Materials & Continua 2022年第10期73卷 2057-2077页

作者： Ali abdullah Hassan salwani abdullah Kamal Z.Zamli Rozilawati Razali Faculty of Information Science and Technology Universiti Kebangsaan MalaysiaBangi43600SelangorMalaysia Faculty of Computing College of Computing and Applied SciencesUniversiti Malaysia PahangPekan26600PahangMalaysia

Much of our daily tasks have been computerized by machines and sensors communicating with each other in *** is a reasonable risk that something could go wrong because there are a lot of sensors producing a lot of *** testing(CT)can be used in this case to reduce risks and ensure conformance to *** existing metaheuristic-based solutions aim to assist the test suite generation for combinatorial testing,also known as t-way testing(where t indicates the interaction strength),viewed as an optimization *** previous research,while helpful,only investigated a small number of interaction strengths up to t=*** lightweight applications,research has demonstrated good fault-finding ***,the number of interaction strengths considered must be higher in the case of interactions that generate large amounts of *** to resource restrictions and the combinatorial explosion challenge,little work has been done to produce high-order interaction *** this context,the Whale Optimization Algorithm(WOA)is proposed to generate high-order interaction *** ensure that WOA conquers premature convergence and avoids local optima for large search spaces(owing to high-order interaction),three variants of WOA have been developed,namely Structurally Modified Whale Optimization Algorithm(SWOA),Tolerance Whale Optimization Algorithm(TWOA),and Tolerance Structurally Modified Whale Optimization Algorithm(TSWOA).Our experiments show that the third strategy gives the best performance and is comparable to existing state-of-thearts based strategies.

关键词： Software testing optimization problem swarm intelligence algorithm combinatorial optimization IoT

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Optimization of Sentiment Analysis Using Teaching-Learning Based Algorithm

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Computers, Materials & Continua 2021年第11期69卷 1783-1799页

作者： abdullah Muhammad salwani abdullah Nor Samsiah Sani Center for Artificial Intelligence Technology Faculty of Information Science&TechnologyUniversiti KebangsaanKajang43000Malaysia

Feature selection and sentiment analysis are two common studies that are currently being conducted;consistent with the advancements in computing and growing the use of social *** dimensional or large feature sets is a key issue in sentiment analysis as it can decrease the accuracy of sentiment classification and make it difficult to obtain the optimal subset of the ***,most reviews from social media carry a lot of noise and irrelevant ***,this study proposes a new text-feature selection method that uses a combination of rough set theory(RST)and teaching-learning based optimization(TLBO),which is known as *** framework to develop the proposed RSTLBO includes numerous stages:(1)acquiring the standard datasets(user reviews of six major ***)which are used to validate search result feature selection methods,(2)preprocessing of the dataset using text processing *** involves applying text processing methods from natural language processing techniques,combined with linguistic processing techniques to produce high classification results,(3)employing the RSTLBO method,and(4)using the selected features from the previous process for sentiment classification using the Support Vector Machine(SVM)*** show an improvement in sentiment analysis when combining natural language processing with linguistic processing for text *** importantly,the proposed RSTLBO feature selection algorithm is able to produce an improved sentiment analysis.

关键词： Feature selection sentiment analysis rough set theory teachinglearning optimization algorithms text processing

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Real-Time and Intelligent Flood Forecasting Using UAV-Assisted Wireless Sensor Network

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Computers, Materials & Continua 2022年第1期70卷 715-738页

作者： Shidrokh Goudarzi Seyed Ahmad Soleymani Mohammad Hossein Anisi Domenico Ciuonzo Nazri Kama salwani abdullah Mohammad Abdollahi Azgomi Zenon Chaczko Azri Azmi Centre for Artificial Intelligent(CAIT) Universiti Kebangsaan MalaysiaBangi43600Malaysia School of Computer Engineering Iran University of Science and TechnologyResalat Sq.16846-13114TehranIran School of Computing Faculty of Engineering Universiti Teknologi MalaysiaJohorMalaysia School of Computer Science and Electronic Engineering University of EssexColchester CO43SQUnited Kingdom Department of Electrical Engineering and Information Technologies University of Naples“Federico II”Naples80125Italy Razak Faculty of Technology and Informatics Universiti Teknologi MalaysiaKuala Lumpur54100Malaysia School of Electrical and Data Engineering University of Technology SydneyUltimoNSWAustralia

The Wireless Sensor Network(WSN)is a promising technology that could be used to monitor rivers’water levels for early warning flood detection in the 5G ***,during a flood,sensor nodes may be washed up or become faulty,which seriously affects network *** address this issue,Unmanned Aerial Vehicles(UAVs)could be integrated with WSN as routers or data mules to provide reliable data collection and flood *** light of this,we propose a fault-tolerant multi-level framework comprised of a WSN and a UAV to monitor river *** framework is capable to provide seamless data collection by handling the disconnections caused by the failed nodes during a ***,an algorithm hybridized with Group Method Data Handling(GMDH)and Particle Swarm Optimization(PSO)is proposed to predict forthcoming floods in an intelligent collaborative *** proposed water-level prediction model is trained based on the real dataset obtained fromthe Selangor River *** performance of the work in comparison with other models has been also evaluated and numerical results based on different metrics such as coefficient of determination(R2),correlation coefficient(R),RootMean Square Error(RMSE),Mean Absolute Percentage Error(MAPE),and BIAS are provided.

关键词： Unmanned aerial vehicles wireless sensor networks group method data handling particle swarm optimization river flow prediction

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Hepatic and renal effects of oral stingless bee honey in a streptozotocin-induced diabetic rat model

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World Journal of Experimental Medicine 2024年第1期14卷 113-123页

作者： Suriati Mohd Nasir Anis Farihan Ismail Tuan salwani Tuan Ismail Wan Faiziah Wan Abdul Rahman Wan Amir Nizam Wan Ahmad Tengku Ahmad Damitri Al-Astani Tengku Din Kuttulebbai Nainamohammed Salam Sirajudeen Department of Chemical Pathology School of Medical SciencesUniversiti Sains MalaysiaKota Bharu 16150KelantanMalaysia Endocrinology Laboratory Department of Chemical PathologySchool of Medical SciencesUniversiti Sains MalaysiaKota Bharu 16150KelantanMalaysia Department of Pathology School of Medical SciencesUniversiti Sains MalaysiaKota Bharu 16150KelantanMalaysia Biomedicine Program School of Health SciencesHealth CampusUniversiti Sains MalaysiaKota Bharu 16150KelantanMalaysia Department of Basic Medical Sciences Kuliyyah of MedicineInternational Islamic University MalaysiaBandar Indera MahkotaKuantan 25200PahangMalaysia

BACKGROUND Diabetes is known damage the liver and kidney,leading to hepatic dysfunction and kidney *** is believed to help in lowering the blood glucose levels of diabetic patients and reducing diabetic ***,the effect of stingless bee honey(SBH)administration in relieving liver and kidney damage in diabetes has not been *** To investigate the effect of SBH administration on the kidney and liver of streptozotocin-induced(STZ;55 mg/kg)diabetic Sprague Dawley *** The rats were grouped as follows(n=6 per group):non-diabetic(ND),untreated diabetic(UNT),metformin-treated(MET),and SBH+metformin-treated(SBME)*** successful diabetic induction,ND and UNT rats were given normal saline,whereas the treatment groups received SBH(2.0 g/kg and/or metformin(250 mg/kg)for 12 *** biochemical parameters and histological changes using hematoxylin and eosin(H&E)and periodic acid–Schiff(PAS)staining were *** On H&E and PAS staining,the ND group showed normal architecture and cellularity of Bowman’s capsule and tubules,whereas the UNT and MET groups had an increased glomerular cellularity and thickened basement *** SBH-treated group showed a decrease in hydropic changes and mild cellularity of the glomerulus vs the ND group based on H&E staining,but the two were similar on PAS ***,the SBME-treated group had an increase in cellularity of the glomerulus on H&E staining,but it was comparable to the SBH and ND groups on PAS *** diabetic rats had tubular hydropic tubules,which were smaller than other *** fatty vacuole formation and dilated blood sinusoids in liver tissue were seen in the SBH ***,the UNT group had high glucose levels,which subsequently increased MDA levels,ultimately leading to liver *** treatment reduced this damage,as evidenced by having the lowest fasting glucose,serum alanine transaminase,aspartate transaminase,and alkaline phosphatase l

关键词： Diabetes Streptozotocin Stingless bee honey Hematoxylin and eosin Periodic acid-Schiff Liver Kidney

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Association of vitamin D and magnesium with insulin sensitivity and their influence on glycemic control

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World Journal of Diabetes 2023年第1期14卷 26-34页

作者： Wan Nor Fazila Hafizan Wan Nik Hani Ajrina Zulkeflee Siti Nadirah Ab Rahim Tuan salwani Tuan Ismail Department of Chemical Pathology School of Medical SciencesUniversiti Sains MalaysiaKota Bharu 16150KelantanMalaysia Faculty of Medicine and Health Sciences Universiti Sains Islam MalaysiaBandar Baru NilaiNilai 71800Negeri SembilanMalaysia Pathology Unit Faculty of Medicine and Defence HealthNational Defence University of MalaysiaKem Perdana Sungai Besi 57000Kuala LumpurMalaysia

Insulin resistance increases the risk of developing diabetes,and the degree of resistance influences the glycemic control of patients with *** researchers have focused on improving insulin sensitivity in order to prevent diabetes-related complications and other chronic *** studies have also linked vitamin D levels to insulin secretion and resistance,given that both vitamin D and its receptor complex play important roles in regulating pancreaticβ-*** has been suggested that vitamin D supplementation improves vitamin D levels,but further research is needed to confirm this as neither insulin function nor glycemic control improves when vitamin D levels *** is a cofactor for many *** the role of magnesium in the management of diabetes has long been evaluated,it has not yet been determined whether magnesium supplements improve insulin ***,several researchers have found that patients with good glycemic control have high magnesium *** is closely related to vitamin D and is necessary for the transport and activation of vitamin D in *** supplementation with vitamin D and magnesium improves glycemic control in patients with diabetes.

关键词： Vitamin D Magnesium Diabetes Insulin sensitivity Insulin resistance Glycemic control

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Ethical Ideologies, Personality Traits, and Whistleblowing Intention in Public Sector: Mediating Role of Whistleblowing Judgment

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Journal of Modern Accounting and Auditing 2019年第5期15卷 241-248页

作者： Intan salwani Mohamed Nabilah Rozzani Noor Hidayah Ab Aziz Richard Hicks Universiti Teknologi MARA Shah Alam Malaysia Management & Science University Shah Alam Malaysia Universiti Teknologi MARA Segamat Malaysia Bond University Queensland Australia

Whistleblowing decision by an individual employee has always been an interesting topic in the management of businesses and organizations. Whistleblowing can be an effective fraud detection mechanism if a person decided to whistleblow on the wrongdoings of other employees. In reality, however, individuals who are aware of unlawful activity of his or her peer group members would face a challenging dilemma if the company or organizations they are working with do not have a sound whistleblowing policy to ensure the confidentiality of whistleblower. Knowing the factors that could influence their whistleblowing judgement and intention would be an interesting topic to be studied. The present study attempts to discuss on factors which would influence whistleblowing intention on staffs from selected public sector organizations in Malaysia. These factors include three individual level factors of ethical ideology (idealism and relativism), personality traits (conscientiousness, openness to experience, extraversion, agreeableness, neuroticism), and whistleblowing judgment, all with regards to peer reporting. A theoretical model is developed in accordance to the issues discussed in this paper.

关键词： whistleblowing intention whistleblowing judgement ethical ideology personality traits

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