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Constructing a small organic molecule by using the derivative of oxadiazole for photovoltaic applications

Optoelectronics Letters 2024年

作者： HUSSEIN K.MEJBEL ABDIULRSOOL H.AL-TAHER fayez A.NAMAH LAFY F.AL-BADRY Department of Physics College of Education for Pure Science University of Thi-Qar Directorate-General for Education Dhi Qar Department of Physics College of Science University of Thi-Qar

Because of their elasticity， light weight， little cost， and wide-area applications， besides that a notable increase in power conversion efficiency （PCE）， organic solar cells have recently caught the concern of numerous researchers. In the current project， we created a variety of organic small compounds as donor materials by using Gaussian 09. Our design approach entails swapping the core part， which is benzothiadiazole （BT）， based on a derivative of oxadiazole， as the terminals on both sides of the prototype compound （RM） with a variety of fragments to improve the electronic and optic characterization and performance for PCE in organic solar cells. Careful theoretical consideration under density-functional theory DFT and time-dependent density functional theory TD-DET at the B3LYP/6-31G（d，p） basis set was made to find the maximum absorption wavelengthλmax， the efficiency of light harvesting （LHE）， excitation energy (EX)， HOMO and LOMO levels， energy band gap (Eg)， dipole moment （ρ）， the DOS， ionization potential （LP）， electron affinity （EA）， fill factor （EF）， and open circuit voltage (Voc) of molecules RM and TSstudied in a methodical manner. Calculated values revealed that proposed compounds T1-T4 can be encouraging materials for manufacturing organic solar cells as a donor tiny compound with acceptor PC61BM to predict a rise in power conversion efficiency （PCE） owing to their possession of proper values for some optical and electronic features， like the lowest HOMO level， narrower band gaps， and a greater absorption wavelength compared with the reference model RM.

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Assessment of Breast Cancer Prevention Practices among Women Attending Primary Health Care in Abha City, Aseer Region, Saudi Arabia

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International Journal of Clinical Medicine 2024年第2期15卷 31-54页

作者： Sabah Mohammed Asiri Sultan Yahia Alfifii Tagreed Khairan Al-Rashidi Sager Misfer Alqahtani Faiz Abdulrahman Alshafa fayez Mari Alamri Amal Mohammed Asiri Fatima Mohammed Ali Almagadi Thuraya Mohammed Asiri Department of Therapeutic Assistance Management General Directorate of Health Affairs Asser Region Abha Saudi Arabia Department of Health Affairs General Directorate of Health Affairs Asser Region Abha Saudi Arabia Department of Kidney King Khaled Hospital Hail Saudi Arabia Department of Nursing Sarat Abida Hospital Aseer Saudi Arabia Department of Radiation Oncology King Faisal Medical City Abha Saudi Arabia Department of Health Affairs KSA MOH Department of Kidney Dialysis Centers General Directorate of Health Affairs Aseer Region Abha Saudi Arabia Department of Operation Ahad Rafidah Hospital General Directorate of Health Affairs in Asseer Region Abha Saudi Arabia South Qunfudah General Hospital Jizan Saudi Arabia Armed Forces Southern Region Hospital Aseer Saudi Arabia

Cancer is a leading cause of death worldwide, with breast cancer being the most common (2.26 million new cases and 685,000 deaths). In Saudi Arabia, breast cancer ranked the first among females in 2014, accounting for 15.9% of all cancers reported among Saudi nationals and 28.7% of all cancers reported among females of all ages. Early detection of breast cancer could decrease the risks, have a better prognosis, and have better outcomes/more successful treatments. Prevalence of breast cancer reached more than 25% of all diagnosed cancer in the kingdom among women. Aim: This study aims to assess the knowledge and performance of women attending primary care centers about breast self-examination and mammogram screening for prevention and early detection of breast cancer in Abha city primary healthcare centers, Kingdom of Saudi Arabia. Research Method: cross sectional design was conducted by using questionnaire, which was distributed to primary care center nurses. The collected data was statistically analyzed using the Statistical Package for Social Sciences, version 25. Results: The study found that participants had poor awareness and knowledge about breast self-examination, risk factors for breast cancer, and trends and practices in early diagnosis of breast cancer. Conclusion and Recommendations: It recommends increasing awareness campaigns and providing educational programs to improve knowledge and practices.

关键词： Assessment Breast Cancer Prevention Practices Women Attending Health Care Centers Abha City

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Algorithms for Pre-Compiling Programs by Parallel Compilers

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Computer Systems Science & Engineering 2023年第3期44卷 2165-2176页

作者： fayez Alfayez Department of Computer Science and Information College of ScienceMajmaah UniversityAl-Majmaah11952Saudi Arabia

The paper addresses the challenge of transmitting a big number offiles stored in a data center(DC),encrypting them by compilers,and sending them through a network at an acceptable *** to the big number offiles,only one compiler may not be sufficient to encrypt data in an acceptable *** this paper,we consider the problem of several compilers and the objective is tofind an algorithm that can give an efficient schedule for the givenfiles to be compiled by the *** main objective of the work is to minimize the gap in the total size of assignedfiles between *** minimization ensures the fair distribution offiles to different *** problem is considered to be a very hard *** paper presents two research *** axis is related to *** propose a novel pre-compiler architecture in this *** second axis is algorithmic *** develop six algorithms to solve the problem,in this *** algorithms are based on the dispatching rules method,decomposition method,and an iterative *** algorithms give approximate solutions for the studied *** experimental result is imple-mented to show the performance of *** indicators are used to measure the performance of the proposed *** addition,five classes are proposed to test the algorithms with a total of 2350 instances.A comparison between the proposed algorithms is presented in different tables discussed to show the performance of each *** result showed that the best algorithm is the Iterative-mixed Smallest-Longest-Heuristic(ISL)with a percentage equal to 97.7%and an average running time equal to 0.148 *** other algorithms did not exceed 22%as a *** best algorithm excluding ISL is Iterative-mixed Longest-Smallest Heuristic(ILS)with a percentage equal to 21,4%and an average running time equal to 0.150 s.

关键词： Compiler encryption scheduling big data algorithms

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Model-independent Veltman condition,naturalness and the little hierarchy problem

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Chinese Physics C 2022年第1期46卷 31-42页

作者： fayez Abu-Ajamieh LUPM UMR5299 Universitéde Montpellier34095 MontpellierFrance

We adopt a bottom-up Effective Field Theory(EFT)approach to derive a model-independent Veltman condition to cancel out the quadratic divergences in the Higgs *** show using the equivalence theorem that all the deviations in the Higgs couplings to the W and Z from the SM predictions should *** argue based on tree-level unitarity that any new physics that naturally cancels out the quadratic divergences should be ≤19 *** show that the level of fine-tuning required is unless the O(0:1%-1%) UV sector has a symmetry that forces the satisfaction of the model-independent Veltman condition,in which case all fine-tuning is *** also conjecture that,if no new physics that couples to the Higgs is observed up to~19 TeV,or if the Higgs couplings to the SM particles conform to the SM predictions,then the Higgs either does not couple to any UV sector or is fine-tuned.

关键词： effective field theory Higgs little hierarchy problem quadratic divergence fine-tuning unitarity byeond the standard model

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A Fractional Fourier Based Medical Image Authentication Approach

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Computers, Materials & Continua 2022年第2期70卷 3133-3150页

作者： fayez Alqahtani Mohammed Amoon Walid El-Shafai Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11451Saudi Arabia Department of Computer Science Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Department of Computer Science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

Patient medical information in all forms is crucial to keep private and secure,particularly when medical data communication occurs through insecure ***,there is a bad need for protecting and securing the color medical images against impostors and *** this paper,an optical medical image security approach is *** is based on the optical bit-plane Jigsaw Transform(JT)and Fractional Fourier Transform(FFT).Different kernels with a lone lens and a single arbitrary phase code are exploited in this security approach.A preceding bit-plane scrambling process is conducted on the input color medical images prior to the JT and FFT processes to accomplish a tremendous level of robustness and *** confirm the efficiency of the suggested security approach for secure color medical image communication,various assessments on different color medical images are examined based on different statistical security ***,a comparative analysis is introduced between the suggested security approach and other conventional cryptography *** simulation outcomes acquired for performance assessment demonstrate that the suggested security approach is highly *** has excellent encryption/decryption performance and superior security results compared to conventional cryptography approaches with achieving recommended values of average entropy and correlation coefficient of 7.63 and 0.0103 for encrypted images.

关键词： Medical image security encryption JT FFT cryptosystem

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Rheological and Morphological Characterization of Modified Bitumen with Cup Lump Rubber

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Journal of Renewable Materials 2023年第5期11卷 2433-2451页

作者： Mohammed Albuaymi Suleiman Abdulrahman fayez Alanazi Hani Alanazi Musa Adamu Department of Civil and Environmental Engineering College of EngineeringMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Civil Engineering Kebbi State University of Science and TechnologyAlieroKebbiNigeria School of Civil Engineering Universiti Teknologi MalaysiaJohor Bahru81310Malaysia Department of Civil Engineering College of EngineeringJouf UniversitySakaka72388Saudi Arabia Engineering Management Department College of EngineeringPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Civil Engineering Bayero UniversityKanoPMB 3011Nigeria

Pure bitumen is not suitable for heavy traffic loads;hence modifiers are used to improve the bitumen ***,cup lump rubber(CLR)has become a preferred modifier due to its outstanding performance and less ***,little is known about the interactions between CLR and ***,this study investigates the behavior of bitumen with *** percentages of CLR(2.5%,5.0%,7.5%,and 10.0%by weight of bitumen)were used to modify conventional 60/70 penetration grade *** modified bitumen was evaluated through different laboratory testing such as dynamic shear rheometer,rotational viscosity,softening point,bending beam rheometer,ductility,and elastic *** testing results show that the addition of CLR increased the bitumen’s rutting resistance by 3 PG grades at high *** low pavement temperatures,the cup lump rubber modified bitumen(CMB)can withstand up to−34℃.Fourier Transform Infrared(FTIR)analysis shows that the Aromaticity index at 1600 cm^(−1) rose as the CLR percentage increased,indicating the formation of a binder with a compact *** is expected to improve the elasticity of bitumen throughπ-π*** Force Microscopy(AFM)results showed the Catana phase increased in size and quantity at 5.0%and 7.5%CLR *** contact angle measurement revealed that the binders are hydrophobic and tend to repel the dropped water on the bitumen surface.

关键词： Cup lump rubber polymer modified bitumen hydrophobicity natural rubber

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A Novel Secure Scan Design Based on Delayed Physical Unclonable Function

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Computers, Materials & Continua 2023年第3期74卷 6605-6622页

作者： Weizheng Wang Xingxing Gong Xiangqi Wang Gwang-jun Kim fayez Alqahtani Amr Tolba School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China College of Information Science and Engineering Hunan Women’s UniversityChangsha410138China College of Mathematics and Computational Science Hunan First Normal UniversityChangsha410138China Department of Computer Engineering Chonnam National UniversityGwangju61186Korea Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh12372Saudi Arabia Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia

The advanced integrated circuits have been widely used in various situations including the Internet of Things,wireless communication,*** its manufacturing process exists unreliability,so cryptographic chips must be rigorously *** to scan testing provides high test coverage,it is applied to the testing of cryptographic integrated ***,while providing good controllability and observability,it also provides attackers with a backdoor to steal *** the text,a novel protection scheme is put forward to resist scan-based attacks,in which we first use the responses generated by a strong physical unclonable function circuit to solidify fuseantifuse structures in a non-linear shift register(NLSR),then determine the scan input code according to the configuration of the fuse-antifuse structures and the styles of connection between the NLSR cells and the scan *** the key is right,the chip can be tested normally;otherwise,the data in the scan chain cannot be propagated normally,it is also impossible for illegal users to derive the desired scan *** proposed technique not only enhances the security of cryptographic chips,but also incurs acceptable overhead.

关键词： Cryptographic chips scan testing scan-based attacks hardware security PUF

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Deep Learning-Based Model for Detection of Brinjal Weed in the Era of Precision Agriculture

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Computers, Materials & Continua 2023年第10期77卷 1281-1301页

作者： Jigna Patel Anand Ruparelia Sudeep Tanwar fayez Alqahtani Amr Tolba Ravi Sharma Maria Simona Raboaca Bogdan Constantin Neagu Department of Computer Science and Engineering Institute of TechnologyNirma UniversityAhmedabad382481India Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh12372Saudi Arabia Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Centre for Inter-Disciplinary Research and Innovation University of Petroleum and Energy StudiesDehradun248001India Doctoral School University Politehnica of BucharestBucharest060042Romania National Research and Development Institute for Cryogenic and Isotopic Technologies-ICSI Rm ValceaRamnicu Valcea240050Romania Power Engineering Department Gheorghe Asachi Technical University of IasiIasi700050Romania

The overgrowth of weeds growing along with the primary crop in the fields reduces crop *** solutions like hand weeding are labor-intensive,costly,and time-consuming;farmers have used *** application of herbicide is effective but causes environmental and health ***,Precision Agriculture(PA)suggests the variable spraying of herbicides so that herbicide chemicals do not affect the primary *** by the gap above,we proposed a Deep Learning(DL)based model for detecting Eggplant(Brinjal)weed in this *** key objective of this study is to detect plant and non-plant(weed)parts from crop *** the help of object detection,the precise location of weeds from images can be *** dataset is collected manually from a private farm in Gandhinagar,Gujarat,*** combined approach of classification and object detection is applied in the proposed *** Convolutional Neural Network(CNN)model is used to classify weed and non-weed images;further DL models are applied for object *** have compared DL models based on accuracy,memory usage,and Intersection over Union(IoU).ResNet-18,YOLOv3,CenterNet,and Faster RCNN are used in the proposed *** outperforms all other models in terms of accuracy,i.e.,88%.Compared to other models,YOLOv3 is the least memory-intensive,utilizing 4.78 GB to evaluate the data.

关键词： Precision Agriculture Deep Learning brinjal weed detection ResNet-18 YOLOv3 CenterNet Faster RCNN

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A TMA-Seq2seq Network for Multi-Factor Time Series Sea Surface Temperature Prediction

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Computers, Materials & Continua 2022年第10期73卷 51-67页

作者： Qi He Wenlong Li Zengzhou Hao Guohua Liu Dongmei Huang Wei Song Huifang Xu fayez Alqahtani Jeong-Uk Kim Department of Information Technology Shanghai Ocean UniversityShanghai201306China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou310012China College of Computer Dong Hua UniversityShanghai200051China College of Information Technology Shanghai Jian Qiao UniversityShanghai201306China Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh 12372Saudi Arabia Department of Electrical Engineering Sangmyung UniversitySouth KoreaKorea

Sea surface temperature (SST) is closely related to global climatechange, ocean ecosystem, and ocean disaster. Accurate prediction of SST isan urgent and challenging task. With a vast amount of ocean monitoring dataare continually collected, data-driven methods for SST time-series predictionshow promising results. However, they are limited by neglecting complexinteractions between SST and other ocean environmental factors, such as airtemperature and wind speed. This paper uses multi-factor time series SSTdata to propose a sequence-to-sequence network with two-module attention(TMA-Seq2seq) for long-term time series SST prediction. Specifically, TMASeq2seq is an LSTM-based encoder-decoder architecture facilitated by factorand temporal-attention modules and the input of multi-factor time series. Ittakes six-factor time series as the input, namely air temperature, air pressure,wind speed, wind direction, SST, and SST anomaly (SSTA). A factor attentionmodule is first designed to adaptively learn the effect of different factors onSST, followed by an encoder to extract factor-attention weighted features asfeature representations. And then, a temporal attention module is designedto adaptively select the hidden states of the encoder across all time steps tolearn more robust temporal relationships. The decoder follows the temporalattention module to decode the feature vector concatenated from the weightedfeatures and original input feature. Finally, we use a fully-connect layer tomap the feature into prediction results. With the two attention modules, ourmodel effectively improves the prediction accuracy of SST since it can notonly extract relevant factor features but also boost the long-term *** experiments on the datasets of China Coastal Sites (CCS) demonstrate that our proposed model outperforms other methods, reaching 98.29%in prediction accuracy (PACC) and 0.34 in root mean square error (RMSE).Moreover, SST prediction experiments in China’s East, South,

关键词： Sea surface temperature multi-factor attention long short-term memory

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Short-term effects of maize residue biochar on kinetic and thermodynamic parameters of soil β-glucosidase

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Biochar 2019年第2期1卷 213-227页

作者： fayez Raiesi Allahyar Khadem Department of Soil Science and Engineering Faculty of AgricultureShahrekord UniversityP.O.Box 115ShahrekordIran

Soil β-glucosidase (BG), the rate-limiting enzyme in the final step of cellulose hydrolysis, plays a key role in microbial metabolism, carbon (C) cycling and sequestration in terrestrial ecosystems. Biochar application is known to affect soil BG activity;however, most of the biochar studies have focused on the potential activity of BG, and it is not clear how biochar influences the kinetic and thermodynamic behavior of BG in the soil. The objective of this study was to investigate the effect of maize residue biochar on soil BG kinetic and thermodynamic parameters. Soil BG kinetic (V_(max) and K_(m)) and ther-modynamic (E_(a), ΔH_(a) and Q_(10)) parameters were determined within soils (clayey and sandy loam soils) amended with either maize residue (as positive control) or its biochar (600℃) at 0.5 and 1.0% ratios (w/w), and the mixtures were incubated for 90 days. BG showed an increase in potential enzymatic activity (81%), enzyme concentration (higher V_(max) value) (25%) and substrate affinity (lower K_(m) value) (32%) in the biochar-amended sandy loam soil only at high addition rates compared with the control, and an increase by about 86% of the catalytic efficiency (V_(max)/K_(m)). In the clayey soil, biochar addition decreased potential BG activity (by 10-29%), increased the V_(max) value (by 20-25%) and had no impact on enzyme-substrate binding affinity, but still increased the catalytic efficiency by 47-72%. Adsorption of soil BG by biochar particles did not affect the catalytic efficiency in the soil. Generally, application of maize residue biochar to the soil decreased the E_(a), ΔH_(a) and Q_(10) values of BG compared with the negative controls at both biochar rates in the light-textured soil and only at low biochar rate in heavy-textured soil. The direction and magnitude of BG responses (activity, kinetics, and thermodynamics) to biochar were more related to the soil characteristics. Biochar would increase soil BG thermal stability and decrease its sensiti

关键词： Biochar β-Glucosidase behavior Thermal sensitivity Enzyme adsorption Soil texture C cycle

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