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The Role of Blockchain in E-Governance and Decision-Making in Project and Program Management

Advances in Internet of Things 2022年第3期12卷 88-109页

作者： Mounir El Khatib asma al mulla Wadha al Ketbi Haman Bin Mohamad Smart University Dubai UAE

This paper discusses the impact of e-governance powered by blockchain in the project and program management industry. With the rise in technological innovations, many countries have turned to e-governance for efficiency in service delivery, transparency, and decision-making. E-governance backed by blockchain technology entails improving the public services provision by implementing structures of information and communication technologies. There are many challenges with the traditional project management approach that causes organizations and its stakeholders’ cost and time. Thus, the introduction of blockchain has given many organizations a new approach to adopt in order to eliminate the challenges associated with the typical project management approach. In spite of the cutting-edge technology of blockchain and its broad applications in program management and e-governance, there are still many challenges that restrain its adoption on a broader scale. The research discusses the challenges of the blockchain deployment in the program management field and e-governance in private and government sectors and it highlights the efforts put by both sectors to make use of the technology. also, the research covers the opportunities and the advantages of a blockchain adoption in various segments. The paper uses various case studies in the UAE, in both private and government sectors, and a qualitative research approach was implemented. The case studies were on government entities such as Smart Dubai and the Ministry of Health Prevention and also private entities like DP World and Emirates NBD. The paper concludes with recommendations and solutions on how to maximize the benefit of blockchain in the program management industry and how it is improving the decision-making process.

关键词： Project Management Program Management Blockchain E-Governance Decision Making

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An Online Fake Review Detection Approach Using Famous Machine Learning algorithms

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Computers, Materials & Continua 2024年第2期78卷 2767-2786页

作者： asma Hassan alshehri Department of Computer Sciences College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl KharjSaudi Arabia

Online review platforms are becoming increasingly popular,encouraging dishonest merchants and service providers to deceive customers by creating fake reviews for their goods or *** Sybil accounts,bot farms,and real account purchases,immoral actors demonize rivals and advertise their *** academic and industry efforts have been aimed at detecting fake/fraudulent product or service evaluations for *** primary hurdle to identifying fraudulent reviews is the lack of a reliable means to distinguish fraudulent reviews from real *** paper adopts a semi-supervised machine learning method to detect fake reviews on any website,among other *** reviews are classified using a semi-supervised approach(PU-learning)since there is a shortage of labeled data,and they are ***,classification is performed using the machine learning techniques Support Vector Machine(SVM)and Nave *** performance of the suggested system has been compared with standard works,and experimental findings are assessed using several assessment metrics.

关键词： Security fake review semi-supervised learning ML algorithms review detection

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Universal newborn hearing screening program in Saudi Arabia: Current insight

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Journal of Otology 2024年第1期19卷 35-39页

作者： Noura alothman Reem Elbeltagy Reem mulla Department of Health Communication Sciences College of Health and Rehabilitation SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia Audiovestibular Medicine Ear-Nose-Throat DepartmentFaculty of MedicineZagazig UniversityZagazigEgypt Department of Hearing Speech and Language SciencesGallaudet UniversityWashingtonDCUSA

Newborn hearing screening(NHS) programs are essential to identify hearing loss early in life and to improve outcomes in children. In Saudi Arabia, the national NHS program has been operational since 2016;however, few studies have evaluated its status, and none have covered all provinces across the country. This cross-sectional retrospective study provides an overview of the program's status across all provinces, focusing on screening coverage rates, referral/fail rates, and follow-up procedures. In 2021, 199,034 newborns were screened, with a coverage rate of 92.6% and an overall referral/fail rate of 1.87%. These performance measures provide a foundation for future progress and improvements. This study highlights the importance of ongoing efforts to enhance the program's effectiveness and sustainability.

关键词： Hearing screening Hearing loss Newborn Auditory brainstem response Saudi Arabia

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Fractional synergetic tracking control for robot manipulator

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Journal of Control and Decision 2024年第1期11卷 139-152页

作者： asma Saif Raouf Fareh Saif Sinan Maamar Bettayeb Department of Electrical Engineering University of SharjahSharjahUAE Department of Electrical Engineering École de technologie supérieureMontrealCanada CEIES King Abdulaziz UniversityJeddahSaudi Arabia

This work takes advantage of synergetic control theory and fractional calculus to develop and propose fractional synergetic control(FSC)strategy for Four Degrees of Freedom(4-DOF)robot *** proposed fractional synergetic control is designed to track a joint space as well as workspace desired *** calculus gives more flexibility in the design since it has a wider stability *** to that,as stated in the literature,compared to a similar approach such as sliding mode control,the synergetic control approach converges faster to the equilibrium point,without chattering with a fast *** paper proposes a new control strategy that takes advantage of fractional calculus and synergetic control *** proposed control strategy is tested experimentally on a 4-DOF manipulator to study the performance of the proposed control *** stability of the closed-loop system is proved using the Lyapunov *** experimental results have shown that the proposed FSC design has achieved a good tracking performance.

关键词： Synergetic control robust control robot manipulator fractional controller

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First Record of Middle Eocene Elephant Ancestors’Footprints in the Gonjo Basin,East Tibet Plateau

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Journal of Earth Science 2024年第4期35卷 1224-1235页

作者： asma Tahir Huazhou Yao Junaid Khan Yangui Li He Zhao Yue Yu Tang Yuan Institute of Geological Survey China University of GeosciencesWuhan430074China Wuhan Center China Geological SurveyWuhan430205China State Key Laboratory of Geological Processes and Mineral Resources Wuhan430078China Chengdu Center China Geological SurveyChengdu610081China Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing100101China

It is the first time that the fossil footprints of a group of Middle Eocene elephant ancestors have been discovered in the Gonjo Basin,East Tibet *** Gonjo Formation is attributed to the Middle Eocene Epoch(U-Pb age=44.7±1.2 Ma)and consists mainly of purplish-red,medium-to coarse-grained sandstones,siltstones interbedded with mudstones,and conglomerates with sedimentary structures like ripple marks,rip-up clasts,and trough-cross bedding,suggesting fluvial-lacustrine *** group of fossil footprints has a characteristic oval-concave shape,and the toe impressions are *** fossil footprints are overstepped with a pockmarked texture resembling Proboscipeda *** than 165 fossil footprints of the group are relatively well-preserved with different diameters,which is evidence of highly social behavior and trackmakers of different ages,including calves,juveniles,adolescents,and *** size frequency of the fossil footprints enabled us to deduce the body mass,shoulder height,and hip-height distribution of the trackmakers that crossed the East Tibet Plateau 44.7 Ma *** trackmakers comprised an estimated average hip-height of 111.8 cm,an average shoulder height of 172.8 cm for males/155.9 cm for females,and an average body mass of approximately 1218.1 kg for males/907.8 kg for *** abundance of fossil footprints reveals that in the Middle Eocene Epoch,the environment was extraordinarily conducive for the elephant ancestors to live in the East Tibet region.

关键词： Proboscipeda enigmatica East Tibet Plateau Gonjo Formation fossil footprints fluvial-lacustrine

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Optimization and Characterization of Combined Degumming Process of Typha angustata L. Stem Fibers

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Journal of Renewable Materials 2024年第6期12卷 1071-1086页

作者： Sana Rezig Foued Khoffi Mounir Jaouadi asma Eloudiani Slah Msahli Laboratory of Textile Engineering(LGTex) University of MonastirKsar Hellal5070Tunisia

Plant derived natural fibers have been widely investigated as alternatives to synthetic fibers in reinforcing *** over the years have explored many plant fibers using different extraction processes to study their physical,chemical,and mechanical *** this context,the present study relates to the extraction,characterization,and optimization of Typha angustata *** *** this purpose,desirability functions and response surface methodology were applied to simultaneously optimize the diameter(D),linear density(LD);yield(Y),lignin fraction(L),and tenacity(T)of Typha stem *** stems have been subjected to both alkali(NaOH)and enzymatic(pectinex ultra-SPL)*** levels of process variables including enzyme concentration(10,15,and 20 ml/L)and treatment duration(10,15,and 20 days)were used to design the experiments according to the factorial *** results were examined by analysis of variance and fitted to second order polynomial model using multiple regression *** Derringer’s desirability function released that the values of process variables generating optimized diameter,linear density,yield,lignin ratio and tenacity are 20 ml/L and 20 days for concentration of pectinex ultra-SPL enzyme and treatment duration,*** was performed and high degree of correlation was found between the experimental and statistical ***,the morphological structure has been investigated by the scanning electron microscope,showing a crenelated structure of ultimate fiber bundles of cellulose composing the Typha *** to Typha stem non-treated fibers(TSNTF),Typha stem combined treated fibers(TSCTF),brings to improve mechanical *** change in mechanical properties is affected by modifying the fiber structure showing alpha cellulose of(66.86%)and lignin ratio of(10.83%)with a crystallinity index of(58.47%).

关键词： Typha angustata L.stems fibers combined treatment optimization process desirability function chemical and physical properties morphological structure

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A new hydrophobic deep eutectic solvent composed of menthol and tris(2-ethylhexyl) phosphate for solvent bar microextraction of parabens from biological fluids

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Emerging Contaminants 2024年第2期10卷 135-145页

作者： Nabil N.al-Hashimi Husam Abed alfattah Khaleel I.Assaf asma A.Fakhoury Saja H.Hamed Amjad H.El-Sheikh Khairi M.Fahelelbom The Hashemite University Faculty of Pharmaceutical SciencesDepartment of Pharmaceutical ChemistryP.O.Box 330127Zarqa13133Jordan The Hashemite University Faculty of ScienceDepartment of ChemistryP.O.Box 150459Zarqa13115Jordan al-Balqa Applied University Faculty of ScienceDepartment of Chemistry19117 Al-SaltJordan The Hashemite University Faculty of Pharmaceutical SciencesDepartment of Pharmaceutics and Pharmaceutical TechnologyP.O.Box 330127Zarqa13133Jordan al Ain University College of PharmacyDepartment of Pharmaceutical SciencesP.O.Box 64141Al AinAl AinUnited Arab Emirates

Parabens are antimicrobial preservatives with extensive applications in cosmetics,toiletries,pharmaceuticals,and *** the legitimate concerns relating to their potential to disrupt multiple endocrine functions,it becomes imperative to prioritize the development of innovative bioanalytical techniques for effectively monitoring their presence in biological *** this study,an efficient solvent bar microextraction(SBME)was established,utilizing new hydrophobic deep eutectic solvents(DEs)to determine methylparaben and propylparaben in urine and plasma *** DEs comprising menthol and tris(2-ethylhexyl)phosphate(M-TEHP)at various molar ratios were synthesized for the first time to enhance the extraction capacity and promote the eco-friendliness of the DE used as an extraction ***-transform infrared(FT-IR)and proton nuclear magnetic resonance(1H NMR)spectroscopies were employed to confirm and investigate the properties of the successful synthesis(M-TEHP)DE at a molar ratio of 1:*** synthesized DE exhibits low microbial toxicity and can be considered an eco-friendly solvent for ***,quantum-chemical calculations were utilized to predict synthesized DE's structure and interaction energy with selected *** influential operational factors of DE-SBME on the extraction efficiency(EE%)of both parabens were evaluated using response surface methodology based on central composite design,and a total of 30 extraction tests were conducted to determine the optimal *** optimized DE-SBME,in combination with HPLC-DAD,exhibited low detection limits(0.54–0.91μg L^(−1)),excellent linearity(R^(2)≥0.9993),precise results(RSDs≤7.6%),satisfactory recoveries(92–97%)and negligible matrix ***,it had remarkable effectiveness and applicability in determining selected parabens in real urine and plasma samples.

关键词： Hydrophobic deep eutectic solvent Solvent bar microextraction Parabens Response surface methodology and central composite design HPLC-DAD Urine and plasma

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Central role of altered phosphodiesterase 2-dependent signaling in the pathophysiology of cognition-based brain disorders

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Neural Regeneration Research 2025年第8期20卷 2302-2303页

作者： asma Boulksibat alessandra Tempio Barbara Bardoni Institut de Pharmacologie Moléculaire et Cellulaire CNRS UMR7275Inserm U1323ValbonneFrance

The second messengers 3',5'-cyclic adenosine monophosphate(cAMP)and 3',5'-cyclic guanosine monophosphate(cGMP)modulate molecular pathways that are involved in a large variety of cellular *** the brain,these processes include neurogenesis,neuronal differentiation,activation and function of microglia,and synaptic plasticity,finally resulting in memory formation.

关键词： formation processes finally

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Single image super-resolution:a comprehensive review and recent insight

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Frontiers of Computer Science 2024年第1期18卷 139-156页

作者： Hanadi al-MEKHLAFI Shiguang LIU College of Intelligence and Computing Tianjin UniversityTianjin 300350China

Super-resolution(SR)is a long-standing problem in image processing and computer vision and has attracted great attention from researchers over the *** main concept of SR is to reconstruct images from low-resolution(LR)to high-resolution(HR).It is an ongoing process in image technology,through up-sampling,de-blurring,and *** neural network(CNN)has been widely used to enhance the resolution of images in recent *** alternative methods use deep learning to improve the progress of image super-resolution based on ***,we review the recent findings of single image super-resolution using deep learning with an emphasis on distillation knowledge used to enhance image super-resolution.,it is also to highlight the potential applications of image super-resolution in security monitoring,medical diagnosis,microscopy image processing,satellite remote sensing,communication transmission,the digital multimedia industry and video ***,we present the challenges and assess future trends in super-resolution based on deep learning.

关键词： super-resolution deep learning single-image interpolation-based learning-based reconstruction-based

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RoGRUT: A Hybrid Deep Learning Model for Detecting Power Trapping in Smart Grids

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Computers, Materials & Continua 2024年第5期79卷 3175-3192页

作者： Farah Mohammad Saad al-Ahmadi Jalal al-Muhtadi Center of Excellence in Information Assurance(CoEIA) King Saud UniversityRiyadh11543Saudi Arabia College of Computer&Information Sciences King Saud UniversityRiyadh11543Saudi Arabia

Electricity theft is a widespread non-technical issue that has a negative impact on both power grids and electricity *** hinders the economic growth of utility companies,poses electrical risks,and impacts the high energy costs borne by *** development of smart grids is crucial for the identification of power theft since these systems create enormous amounts of data,including information on client consumption,which may be used to identify electricity theft using machine learning and deep learning ***,there also exist different solutions such as hardware-based solutions to detect electricity theft that may require human resources and expensive ***-based solutions are presented in the literature to identify electricity theft but due to the dimensionality curse,class imbalance issue and improper hyper-parameter tuning of such models lead to poor *** this research,a hybrid deep learning model abbreviated as RoGRUT is proposed to detect electricity theft as amalicious and non-malicious *** key steps of the RoGRUT are data preprocessing that covers the problem of class imbalance,feature extraction and final theft *** advanced-level models like RoBERTa is used to address the curse of dimensionality issue,the near miss for class imbalance,and transfer learning for *** effectiveness of the RoGRUTis evaluated using the dataset fromactual smartmeters.A significant number of simulations demonstrate that,when compared to its competitors,the RoGRUT achieves the best classification *** performance evaluation of the proposed model revealed exemplary results across *** accuracy achieved was 88%,with precision at an impressive 86%and recall reaching 84%.The F1-Score,a measure of overall performance,stood at 85%.Furthermore,themodel exhibited a noteworthyMatthew correlation coefficient of 78%and excelled with an area under the curve of 91%.

关键词： Electricity theft smart grid RoBERTa GRU transfer learning

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