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| 1 | Molecular Gender Determination of Ancient Human from Malay Peninsular 显示文摘 | Shahrul H Z A Sahidan S Rohaya M A W | 2009 | Ameri- can Journal of Applied Sciences2009，16，10： | 1 |
| 2 | Phytochemical studies and pharmacological activities of plants in genus Hedyotis/Oldenlandia 显示文摘 | Nordin HL Rohaya A | 2006 | Studies in Natural Products Chemistry2006，33，13： | 1 |
| 3 | Robust synchronization models for Presentation System using SMIL-driven approach显示文摘 | Rustam Asnawi Wan Fatimah Wan Ahmad Dayang Rohaya Awang Rambli | 2013 | Computers & Education2013，，1： | 1 |
| 4 | Preliminary study of aspartate aminotransferase activity in gingival crevicular fluids during orthodontic tooth movement显示文摘 | Rohaya M A W Shahrul Hisham Z A Khazlina K | | 0，，07： | 1 |
| 5 | An Interactive Mobile Augmented Reality Magical Playbook: Learning Number with the Thirsty Crow显示文摘 | Azfar Bin Tomi Dayang Rohaya Awang Rambli | 2013 | Procedia Computer Science2013，，： | 1 |
| 6 | Antioxidant,radical-scavenging,anti-inflammatory,cytotoxic and antibacterial activities of methanolic extracts of some Hedyotis species显示文摘 | ROHAYA A ABDUL M A DAUD A I | 2005 | Life Sciences2005，76，： | 1 |
| 7 | Osteo-clast and osteoblast development of mus musculus haemopoieticmononucleated cells显示文摘 | Intan Zarina ZA Shahrul Hisham ZA Rohaya MAW | 2008 | J Biolog Sci2008，8，3： | 1 |
| 8 | Benchmarking Performance of Document Level Classification and Topic Modeling显示文摘Text classification of low resource language is always a trivial and challenging problem.This paper discusses the process of Urdu news classification and Urdu documents similarity.Urdu is one of the most famous spoken languages in Asia.The implementation of computational methodologies for text classification has increased over time.However,Urdu language has not much experimented with research,it does not have readily available datasets,which turn out to be the primary reason behind limited research and applying the latest methodologies to the Urdu.To overcome these obstacles,a mediumsized dataset having six categories is collected from authentic Pakistani news sources.Urdu is a rich but complex language.Text processing can be challenging for Urdu due to its complex features as compared to other languages.Term frequency-inverse document frequency(TFIDF)based term weighting scheme for extracting features,chi-2 for selecting essential features,and Linear discriminant analysis(LDA)for dimensionality reduction have been used.TFIDF matrix and cosine similarity measure have been used to identify similar documents in a collection and find the semantic meaning of words in a document FastText model has been applied.The training-test split evaluation methodology is used for this experimentation,which includes 70%for training data and 30%for testing data.State-of-the-art machine learning and deep dense neural network approaches for Urdu news classification have been used.Finally,we trained Multinomial Naïve Bayes,XGBoost,Bagging,and Deep dense neural network.Bagging and deep dense neural network outperformed the other algorithms.The experimental results show that deep dense achieves 92.0%mean f1 score,and Bagging 95.0%f1 score. | Muhammad Shahid Bhatti Azmat Ullah Rohaya Latip Abid Sohail Anum Riaz Rohail Hassan | 2022 | Computers, Materials & Continua2022，，4： | 1 |
| 9 | 科学教育中的大学、工业企业和社会团体的合作显示文摘我是马来西亚理科大学的一名科研人员,负责马来西亚理科大学里的一些科学研究项目,主要是科技教育方面的项目。科技教育在马来西亚的大学中是非常重要的内容。我们与政府部门、大学院校、工业企业、社会团体等很多机构建立合作框架,通过多方位、多形式、多样化内容的合作,共同推进科学教育的发展。 | Rohaya Husny Pahmy | 2019 | 中国科技教育2019，0，10： | 0 |
| 10 | Replication Strategy with Comprehensive Data Center Selection Method in Cloud Environments显示文摘As the amount of data continues to grow rapidly,the variety of data produced by applications is becoming more affluent than ever.Cloud computing is the best technology evolving today to provide multi-services for the mass and variety of data.The cloud computing features are capable of processing,managing,and storing all sorts of data.Although data is stored in many high-end nodes,either in the same data centers or across many data centers in cloud,performance issues are still inevitable.The cloud replication strategy is one of best solutions to address risk of performance degradation in the cloud environment.The real challenge here is developing the right data replication strategy with minimal data movement that guarantees efficient network usage,low fault tolerance,and minimal replication frequency.The key problem discussed in this research is inefficient network usage discovered during selecting a suitable data center to store replica copies induced by inadequate data center selection criteria.Hence,to mitigate the issue,we proposed Replication Strategy with a comprehensive Data Center Selection Method(RS-DCSM),which can determine the appropriate data center to place replicas by considering three key factors:Popularity,space availability,and centrality.The proposed RS-DCSM was simulated using CloudSim and the results proved that data movement between data centers is significantly reduced by 14%reduction in overall replication frequency and 20%decrement in network usage,which outperformed the current replication strategy,known as Dynamic Popularity aware Replication Strategy(DPRS)algorithm. | M.A.Fazlina Rohaya Latip Hamidah Ibrahim Azizol Abdullah | 2023 | Computers, Materials & Continua2023，，1： | 0 |
| 11 | The Impact of Firm Characteristics, Industry Types, and Financial Ratios on SMEs' Utilization of Tax Incentives显示文摘 | Nadiah Abd Hamid Rohaya Md Noor Mustaffa Mohamed Zain Barjoyai Bardai | 2012 | Journal of Modern Accounting and Auditing2012，8，6： | 0 |
| 12 | Evaluating Land Surface Changes of Makassar City Using DInSAR and Landsat Thematic Mapper Images显示文摘 | Ilham Alimuddin Luhur Bayuaji Rohaya Langkoke Josaphat Tetuko Sri Sumantyo Hiroaki Kuze | 2013 | Journal of Civil Engineering and Architecture2013，7，10： | 0 |
| 13 | Weighted-adaptive Inertia Strategy for Multi-objective Scheduling in Multi-clouds显示文摘One of the fundamental problems associated with scheduling workflows on virtual machines in a multi-cloud environment is how to find a near-optimum permutation.The workflow scheduling involves assigning independent computational jobs with conflicting objectives to a set of virtual machines.Most optimization methods for solving non-deterministic polynomial-time hardness(NP-hard)problems deploy multi-objective algorithms.As such,Pareto dominance is one of the most efficient criteria for determining the best solutions within the Pareto front.However,the main drawback of this method is that it requires a reasonably long time to provide an optimum solution.In this paper,a new multi-objective minimum weight algorithm is used to derive the Pareto front.The conflicting objectives considered are reliability,cost,resource utilization,risk probability and makespan.Because multi-objective algorithms select a number of permutations with an optimal trade-off between conflicting objectives,we propose a new decisionmaking approach named the minimum weight optimization(MWO).MWO produces alternative weight to determine the inertia weight by using an adaptive strategy to provide an appropriate alternative for all optimal solutions.This way,consumers’needs and service providers’interests are taken into account.Using standard scientific workflows with conflicting objectives,we compare our proposed multi-objective scheduling algorithm using minimum weigh optimization(MOS-MWO)with multi-objective scheduling algorithm(MOS).Results show that MOS-MWO outperforms MOS in term of QoS satisfaction rate. | Mazen Farid Rohaya Latip Masnida Hussin Nor Asilah Wati Abdul Hamid | 2022 | Computers, Materials & Continua2022，，7： | 0 |
| 14 | Effect of yoga practice in reducing blood pressure,platelet blood count,and proteinuria in pregnant women with mild preeclampsia显示文摘Objective:In determining the effects of yoga practice on mild preeclampsia,this study examines the blood pressure,blood platelet(PLT)count,and proteinuria status in pregnant women over 20 weeks of pregnancy.Materials and Methods:This research is an experimental study with a pre–post intervention design.We collected forty pregnant women with mild preeclampsia from all populations.All participants agreed to practice 30 min of yoga every week for 1 month.The blood pressure,the blood PLT count,and proteinuria were measured before and after the yoga intervention.The statistical analysis used the t‑test for the blood PLT count variable,the McNemar test for the proteinuria variable,and the Wilcoxon test for the blood pressure variable.Results:The results showed a decrease in systole blood pressure from 134.17±7.17 mmHg before a yoga intervention to 120±4.17 mmHg after yoga intervention(P<0.001)and a decrease in diastole blood pressure from 89.58±5.5 mmHg before the intervention to 79.38±4.25 mmHg after the intervention(P<0.001).However,there was no significant difference in blood PLT count(P=0.104)and proteinuria(P=0.063)before and after a yoga intervention in pregnant women with mild preeclampsia patients.Conclusions:Yoga exercise during pregnancy(upper 20 weeks of gestation)significantly decreased systolic and diastolic blood pressure in mild preeclampsia patients. | Murdiningsih Rohaya Siti HINDUN Yunetra FRANCISKA Ocktariyana | 2023 | Journal of Integrative Nursing2023，5，1： | 0 |
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