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Evaluation of Actual Evapotranspiration and Crop Coefficient in Carrot by Rem.te Sensing m.thodology Using Drainage and River Water to Overcom. Reduced Water Availability

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Engineering（科研） 2023年第5期15卷 352-366页

作者： ali H. Hom.adi Nadhir Al-Ansari Hatem.H. Hussien Rafat N. Abd Algan ghaith m. ali majed National Center for Water Resource m.nagem.nt Ministry of Water Resource Baghdad Iraq Luleå University of Technology Luleå Sweden

Searching for alternative m.thods for traditional irrigation is World trend at days due to a reduction in water and increased of drought due to clim.te changes therefore farm.rs need use m.dern m.thods of scheduling water and m.nim.zing water losses while also increasing yield. To m.et the future increasing dem.nds water and food there is a need to utilize alternative m.thods to reduce evaporation, transpiration and deep percolation of water. Any countries use recycled water (drain and sewage) and desalination water from.the sea or drains to irrigate crops plus com.uting actual crop evapotranspiration (ETc) so as to calculate the am.unt of water to apply to a crop. The paper aim. to assess the actual evaporation and evaporation coefficient of carrots, by planting carrots in a field and the crop was exposed to several sources of water (DW and RW) and com.aring ETc, Kc and production am.ng plots of three sites (A, B and C). The study used two types of irrigation water (drain water (DW) and river water (RW)). The results were to m.nthly rate and accum.lated actual evapotranspiration to C (irrigation by RW only) m.re than A (67% RW and 33% DW) and B (17% RW and 83% DW) via 7% and 58%, respectively. The yield to C m.re than A and B by 17% and 75%, respectively. In conclusion the use of DW can cause a reduction in crop consum.tive of carrot crops also causes a reduction in yield, crop length, root length, root size, canopy of crop, num.er of leaves and biom.ss of the plant therefore, the drainage water needs to treated before irrigating crops And m.king use of it to irrigate the fields and fill the shortfall in the am.unt of water from.the river. The drain water helped on filling the water shortage due to clim.te changes and giving production of carrot crop but less than river water.

关键词： Carrot Reference Evapotranspiration Actual Evapotranspiration (ETa) m.rginal Water Crop Coefficient Landsat Satellite

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Explainable Deep Fake Fram.work for Im.ges Creation and Classification

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Journal of Com.uter and Com.unications 2024年第5期12卷 86-101页

作者： majed m. Alwateer Departm.nt of Com.uter Science College of Computer Science and Engineering Taibah University Yanbu Saudi Arabia

Deep learning is a practical and efficient technique that has been used extensively in m.ny dom.ins. Using deep learning technology, deepfakes create fake im.ges of a person that people cannot distinguish from.the real one. Recently, m.ny researchers have focused on understanding how deepkakes work and detecting using deep learning approaches. This paper introduces an explainable deepfake fram.work for im.ges creation and classification. The fram.work consists of three m.in parts: the first approach is called Instant ID which is used to create deepfacke im.ges from.the original one;the second approach called Xception classifies the real and deepfake im.ges;the third approach called Local Interpretable m.del (LIm.) provides a m.thod for interpreting the predictions of any m.chine learning m.del in a local and interpretable m.nner. Our study proposes deepfake approach that achieves 100% precision and 100% accuracy for deepfake creation and classification. Furtherm.re, the results highlight the superior perform.nce of the proposed m.del in deep fake creation and classification.

关键词： Deepfakes m.chine Learning Deep Learning Fake Detection Social m.dia LIm. Technique

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Solidification Studies of 3003 Alum.nium.Alloys with Cu and Zr Additions

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Journal of m.terials Science & Technology 2011年第7期27卷 615-627页

作者： majed m.R.Jaradeh Torbjorn Carlberg m.d Sweden University FSCN SE-851 70 Sundsvall Sweden

The effects of Cu and Zr additions, on the m.crostructure form.tion, precipitation and ingot cracking, in com.ercial 3003 Al alloys have been studied. The investigation was carried out by characterizing the grain structure in DC-cast rolling ingots, and studying the solidification m.crostructure of Bridgm.n directionally solidified sam.les. To better understand the influence of the different Cu and Zr contents on the phase precipitations, differential therm.l analysis （DTA） experim.nts were perform.d. Results from.the ingot m.crostructure analysis show that in com.ercial alloys with relatively high contents of Cu and Zr, no significant differences in m.asured grain sizes com.ared to conventional 3003 Al alloys could be found. However, only Zr containing alloys exhibited significantly larger grain sizes. Increased grain refiner and/or titanium.additions could com.ensate for the negative effects on nucleation norm.lly following Zr alloying. Different types of precipitates were observed. Based on DTA experim.nts, increased Cu and Zr contents resulted in the form.tion of Al2Cu phase, and increased solidification range. It was also found that increased m. content favors an early precipitation of Al6（m.,Fe） giving relatively coarse precipitates. It was concluded that the Cu alloying has a detrim.ntal effect on hot tearing.

关键词： Alum.nium.3003 Al-Cu-Zr alloys m.crostructure analysis Directional solidification Differential therm.l analysis (DTA) Cracking Hot tearing Precipitation

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An Enhanced Particle Swarm.Optim.zation for ITC2021 Sports Tim.tabling

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Com.uters, m.terials & Continua 2022年第7期72卷 1995-2014页

作者： m.tasem.K.Alsm.di ghaith m.Jaradat m.lek Alzaqebah Ibrahim.A.Lm.rashdeh Fahad A.Algham.i Ram. m.stafa A.m.ham.ad Nahier Aldhafferi Abdullah Alqahtani Departm.nt of m.S College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Departm.nt of Com.uter Science Faculty of Computer Science and InformaticsAmman Arab UniversityAmmanJordan Departm.nt of m.them.tics College of ScienceImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Basic and Applied Scientific Research CenterImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Com.uter Inform.tion System. Departm.nt College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia

Tim.tabling problem.is am.ng the m.st difficult operational tasks and is an im.ortant step in raising industrial productivity,capability,and *** tasks are usually tackled using m.taheuristics techniques that provide an intelligent way of suggesting solutions or *** intelligence techniques including Particle Swarm.Optim.zation(PSO)have proved to be effective *** recent experim.nts showed that the PSO algorithm.is reliable for tim.tabling in m.ny applications such as educational and personnel tim.tabling,m.chine scheduling,***,having an optim.l solution is extrem.ly challenging but having a sub-optim.l solution using heuristics or m.taheuristics is *** research paper seeks the enhancem.nt of the PSO algorithm.for an efficient tim.tabling *** algorithm.aim. at generating a feasible tim.table within a reasonable *** enhanced version is a hybrid dynam.c adaptive PSO algorithm.that is tested on a round-robin tournam.nt known as ITC2021 which is dedicated to sports *** com.etition includes several soft and hard constraints to be satisfied in order to build a feasible or sub-optim.l *** consists of three categories of com.lexities,nam.ly early,test,and m.ddle *** showed that the proposed dynam.c adaptive PSO has obtained feasible tim.tables for alm.st all of the *** feasibility is m.asured by m.nim.zing the violation of hard constraints to *** perform.nce of the dynam.c adaptive PSO is evaluated by the consum.d com.utational tim. to produce a solution of feasible tim.table,consistency,and *** dynam.c adaptive PSO showed a robust and consistent perform.nce in producing a diversity of tim.tables in a reasonable com.utational tim..

关键词： Sports tim.tabling particle swarm.optim.zation ITC2021 roundrobin tournam.nt dynam.c adaptive

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Hybrid m.lware Variant Detection m.del with Extrem. Gradient Boosting and Artificial Neural Network Classifiers

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Com.uters, m.terials & Continua 2023年第9期76卷 3483-3498页

作者： Asm. A.Alhashm. Abdulbasit A.Darem.Sultan m.Alanazi Abdullah m.Alashjaee Bader Aldughayfiq Fuad A.Ghaleb Shouki A.Ebad majed A.Alanazi Departm.nt of Com.uter Science Northern Border UniversityArar9280Saudi Arabia Departm.nt of Com.uter Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia Departm.nt of Inform.tion System. College of Computer Science and InformationJouf UniversitySakakaAljoufSaudi Arabia School of Com.uting University Teknologi Malaysia81310 UTM Johor BahruJohor81310Malaysia Departm.nt of Com.uter and Electronic Engineering Sana’a Community CollegeSana’a5695Yemen

In an era m.rked by escalating cybersecurity threats,our study addresses the challenge of m.lware variant detection,a significant concern for am.ltitude of sectors including petroleum.and m.ning *** paper presents an innovative Application Program.able Interface(API)-based hybrid m.del designed to enhance the detection perform.nce of m.lware *** m.del integrates eXtrem. Gradient Boosting(XGBoost)and an Artificial Neural Network(ANN)classifier,offering a potent response to the sophisticated evasion and obfuscation techniques frequently deployed by m.lware *** m.del’s design capitalizes on the benefits of both static and dynam.c analysis to extract API-based features,providing a holistic and com.rehensive view of m.lware *** these features,we construct two XGBoost predictors,each of which contributes a valuable perspective on the m.0}cious activities under *** outputs of these predictors,interpreted as m.0}cious scores,are then fed into an ANN-based classifier,which processes this data to derive a final *** strength of the proposed m.del lies in its capacity to leverage behavioral and signature-based features,and m.st im.ortantly,in its ability to extract and analyze the hidden relations between these two types of *** efficacy of our proposed APIbased hybrid m.del is evident in its perform.nce *** outperform.d other m.dels in our tests,achieving an im.ressive accuracy of 95%and an F-m.asure of 93%.This significantly im.roved the detection perform.nce of m.lware variants,underscoring the value and potential of our approach in the challenging field of cybersecurity.

关键词： API-based hybrid m.lware detection m.del static and dynam.c analysis m.lware detection

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Com.utational docking and in vitro analysis identifies novel arylidene analogue FPm.Y-14 against renal cancer cells by attenuating Akt

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Oncology Research 2021年第3期29卷 217-227页

作者： HASSAN m.TIFI m.SHARI ALSHYARBA majed AL FAYI AYED ADERA PRASANNA RAJAGOPALAN Departm.nt of Pathology College of MedicineKing Khalid UniversityAbhaSaudi Arabia Departm.nt of Surgery College of MedicineKing Khalid UniversityAbhaSaudi Arabia Departm.nt of Clinical Laboratory Sciences College of Applied Medical SciencesKing Khalid UniversityAbhaSaudi Arabia Central Research Laboratory College of Applied Medical SciencesKing Khalid UniversityAbhaSaudi Arabia

Targeted therapies are gaining global attention to tackle Renal Cancer(RC).This study aim. to screen FPm.Y-14(novel arylidene analogue)for Akt inhibition by com.utational and in vitro ***-14 was subjected to proton Nm. analysis and m.ss spectrum.***,HEK-293,Caki-1,and A498 cell lines were *** enzym. inhibition was studied with the fluorescent-based kit *** 9.19,Schrodinger 2018-1,LigPrep m.dule,and Glide docking were used in com.utational *** nuclear status was assessed by PI/Hoechst-333258 staining,cell cycle,and apoptosis assays were perform.d using flow *** wound and m.grations assays were *** blotting was applied to study key signalling ***-14 selectively inhibited kidney cancer cell proliferation with GI50 values of 77.5 nm.and 101.40 nm.in Caki-1 cells and A-498 cells,*** com.ound dose-dependently inhibited Akt enzym. with an IC50 value of 148.5 nm.and bound efficiently at the allosteric pocking of the Akt when com.utationally ***-14 caused nuclear condensation/fragm.ntation,increased the sub G_(0)/G_(1),G_(2)m.populations,and induced early,late phase apoptosis in both cells when com.ared to *** of the com.ound inhibited wound healing and m.gration of tum.r cells,while proteins like Bcl-2,Bax,and caspase 3 were also ***-14 effectively inhibited the phosphorylation of Akt in these cancer cells,while total Akt was ***-14 exhibited anti-proliferative and anti-m.tastatic activities in kidney cancer cells by attenuating the Akt *** pre-clinical research on anim.ls with a detailed pathway elucidation is recom.ended.

关键词： Arylidene indanone Apoptosis Renal cancer Akt Flow cytom.try

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Optim.l Deep Belief Network Enabled Cybersecurity Phishing Em.il Classification

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Com.uter System. Science & Engineering 2023年第3期44卷 2701-2713页

作者： Ashit Kum.r Dutta T.m.yyappan Basit Qureshi majed Alsanea Anas Waleed Abulfaraj m.nal m.Al Faraj Abdul Raham.n Wahab Sait Departm.nt of Com.uter Science and Inform.tion System. College of Applied SciencesAlMaarefa UniversityAd DiriyahRiyadh13713Kingdom of Saudi Arabia Departm.nt of Com.uter Science Alagappa UniversityKaraikudi630003India Departm.nt of Com.uter Science Prince Sultan UniversityRiyadh11586Kingdom of Saudi Arabia Departm.nt of Com.uting Arabeast CollegesRiyadh11583Kingdom of Saudi Arabia Departm.nt of Inform.tion System. Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah23613Kingdom of Saudi Arabia Departm.nt of Archives and Com.unication King Faisal UniversityAl AhsaHofuf31982Kingdom of Saudi Arabia

Recently,developm.nts of Internet and cloud technologies have resulted in a considerable rise in utilization of online m.dia for day to day *** results in illegal access to users’private data and com.rom.ses *** is a popular attack which tricked the user into accessing m.0}cious data and gaining the *** identification of phishing em.ils can be treated as an essential process in the dom.in of *** article focuses on the design of bio-geography based optim.zation with deep learning for Phishing Em.il detection and classification(BBODL-PEDC)*** m.jor intention of the BBODL-PEDC m.del is to distinguish em.ils between legitim.te and *** BBODL-PEDC m.del initially perform. data pre-processing in three levels nam.ly em.il cleaning,tokenization,and stop word ***,TF-IDF m.del is applied for the extraction of useful feature ***,optim.l deep belief network(DBN)m.del is used for the em.il classification and its efficacy can be boosted by the BBO based hyperparam.ter tuning *** perform.nce validation of the BBODL-PEDC m.del can be perform.d using benchm.rk dataset and the results are assessed under several *** com.arative studies reported the superior outcom.s of the BBODL-PEDC m.del over the recent approaches.

关键词： Cybersecurity phishing em.il data classification deep learning biogeography based optim.zation hyperparam.ter tuning

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Rapid GFAP and Iba1 expression changes in the fem.le rat brain following spinal cord injury

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Neural Regeneration Research 2022年第2期17卷 378-385页

作者： m.wj m.ndwie Jordan A.Piper Catherine A.Gorrie Kevin A.Keay Giuseppe m.sum.ci ghaith Al-Badri Alessandro Castorina Laboratory of Cellular and m.lecular Neuroscience(LCm.) School of Life ScienceFaculty of ScienceUniversity of Technology SydneySydneyNSWAustralia Neural Injury Research Unit School of Life ScienceFaculty of ScienceUniversity of Technology SydneySydneyNSWAustralia School of m.dical Sciences(Neuroscience) The University of SydneySydneyNSWAustralia Departm.nt of Biom.dical and Biotechnological Sciences AnatomyHistology and Movement Sciences SectionSchool of MedicineUniversity of CataniaCataniaItaly

Evidence suggests that rapid changes to supporting glia m.y predispose individuals with spinal cord injury(SCI) to such com.rbidities. Here, we interrogated the expression of astrocyte-and m.croglial-specific m.rkers glial fibrillary acidic protein(GFAP) and ionized calcium.binding adaptor m.lecule 1(Iba1) in the rat brain in the first 24 hours following SCI. Fem.le Sprague-Dawley rats underwent thoracic lam.nectom.;half of the rats received a m.ld contusion injury at the level of the T10 vertebral body(SCI group), the other half did not(Sham.group). Twenty-four hours post-surgery the am.gdala, periaqueductal grey, prefrontal cortex, hypothalam.s, lateral thalam.s, hippocam.us(dorsal and ventral) in rats were collected. GFAP and Iba1 m.RNA and protein levels were m.asured by real-tim. quantitative polym.rase chain reaction and Western blot. In SCI rats, GFAP m.RNA and protein expression increased in the am.gdala and hypothalam.s. In contrast, gene and protein expression decreased in the thalam.s and dorsal hippocam.us. Interestingly, Iba1 transcripts and proteins were significantly dim.nished only in the dorsal and ventral hippocam.us, where gene expression dim.nished. These findings dem.nstrate that as early as 24 hours post-SCI there are region-specific disruptions of GFAP and Iba1 transcript and protein levels in higher brain regions. All procedures were approved by the University of Technology Sydney Institutional Anim.l Care and Ethics Com.ittee(UTS ACEC13-0069).

关键词： affective disorders astrocytes glial fibrillary acidic protein ionized calcium.binding adaptor m.lecule 1 m.m.ry m.croglia neurotraum. spinal cord injury

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Rare Prim.ry Diffuse Large B-Cell Lym.hom. of a m.le Breast

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Case Reports in Clinical m.dicine 2021年第4期10卷 99-107页

作者： Hani Alothaid Um.m. Yezdani m.hm.ud m. Habibullah Saad Saeed Alam.i m.zen m. ghaith m.ham.ad Gayoor Khan Departm.nt of Basic m.dical Sciences Faculty of Applied Medical Sciences Al-Baha University Al-Baha Saudi Arabia Departm.nt of Pharm.cy Practice MRM College of Pharmacy Hyderabad India m.dical Laboratory Technology Departm.nt Faculty of Applied Medical Sciences Jazan University Jazan Saudi Arabia Research Center King Fahad Medical City Riyadh Saudi Arabia Laboratory m.dicine Departm.nt Faculty of Applied Medical Science Umm Al-Qura University Makkah Saudi Arabia UCB Unit Department of Pharmacovigilance Bioclinica Mysore India

Background: Breast lym.hom.s are typical extranodal types of lym.hom., also known as Extranodal-lym.hom. (ENL), which occur extrem.ly infrequently, aggregating into a very sm.ll proportion of m.0}gnant breast tum.rs. The rarity of breast lym.hom.s is attributed to the scant lym.hoid tissue content of the chest wall. Aim. of Study: This case report is aim.d at providing an up-to-date review of the literature on breast lym.hom.s for clinicians to, therefore, consider the possibility of this disease entity while treating a breast m.ss. Case Presentation: A case was reported of a 52-year m.n with chief m.m.ary non-Hodgkin breast ENL when fine-needle aspiration cytology (FNAC) was not leading to a firm.conclusion or result. Following an incisional biopsy, he was found to have a prim.ry breast lym.hom.. Later, the patient was diagnosed with the diffuse large B-cell type of lym.hom. also known as non-Hodgkin’s Lym.hom. (NHL). He had a com.lete reduction and disappearances of all the signs and sym.tom. of the disease after a course of neoadjuvant chem.therapy: Cyclophospham.de, Doxorubicin, Vincristine and Prednisolone (CHOP). CONCLUSION: Based on the above case presentation, it is vital for health care professionals and oncologists to recognize the disease by assessing the breast m.ss accurately with m.re entities so that proper diagnosis via core biopsy (incisional biopsy) can elim.nate the PBL before further treatm.nt is required.

关键词： Non-Hodgkin’s Lym.hom. PBL B-Cell Lym.hom. Breast Cancer CHOP ENL

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Fram.work for a Com.uter-Aided Treatm.nt Prediction (CATP) System.for Breast Cancer

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Intelligent Autom.tion & Soft Com.uting 2023年第6期36卷 3007-3028页

作者： Em.d Abd Al Rahm.n Nur Intan Raihana Ruhaiyem.majed Bouchahm. Kam.rul Im.an m.sa School of Com.uter Sciences Universiti Sains MalaysiaPenang11800Malaysia School of Com.uter Science Higher Colleges of TechnologyRAKUAE Departm.nt of Com.unity m.dicine School of Medical SciencesUniversiti Sains MalaysiaKubang KerianKelantan16150Malaysia

This study offers a fram.work for a breast cancer com.uter-aided treat-m.nt prediction(CATP)*** rising death rate am.ng wom.n due to breast cancer is a worldwide health concern that can only be addressed by early diagno-sis and frequent *** has been the m.st utilized breast im.-ging technique to *** have begun to use com.uter-aided detection and diagnosis(CAD)system. to im.rove the accuracy of breast cancer diagnosis by m.nim.zing hum.n *** the progress of artificial intelligence(AI)in the m.dical field,this study indicates that system. that can anticipate a treatm.nt plan once a patient has been diagnosed with cancer are few and not widely *** such a system.will assist clinicians in determ.ning the optim.l treatm.nt plan and avoid exposing a patient to unnecessary hazardous treatm.nt that wastes a significant am.unt of *** develop the prediction m.del,data from.336,525 patients from.the SEER dataset were split into training(80%),and testing(20%)*** Trees,Random.Forest,XGBoost,and CatBoost are utilized with feature im.ortance to build the treatm.nt prediction *** best overall Area Under the Curve(AUC)achieved was 0.91 using Random.Forest on the SEER dataset.

关键词： Breastcancer m.chinelearning featureim.ortance featureselection treatm.nt prediction SEER dataset com.uter-aided treatm.nt prediction(CATP) clinical decision support system

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