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Silicon quantum dots-based fluorescent sensor for the detection of cobalt with high sensitivity and selectivity

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Chinese Chemical Letters 2024年第1期35卷 451-455页

作者： Ebtihaj mohammed Sullam Khalid mohammed Adam Juanjuan Liu Hongli Chen Jianxi Xiao State Key Laboratory of Applied Organic Chemistry College of Chemistry and Chemical EngineeringLanzhou UniversityLanzhou 730000China Department of Chemistry Faculty of EducationUniversity of KordofanEl Obeid 51111Sudan

Fluorescent silicon quantum dots(Si QDs)were hydrothermally synthesized from a mixture of 3(2-aminoethylamino)propyl(dimethoxymethylsilane)(AEAPDmmS)and poly(vinylpyrrolidine)(PVP).The resulting Si QDs exhibited good water solubility and high *** the optimized conditions,the probe revealed an excellent linear fluorescence quenching effect on Co2+ranging from 1μmol/L to 120μmol/L with a limit of detection of 0.37μmol/L(based on 3 s/k).The quenching mechanism was studied,showing that static quenching(SQE)causes the main ***,the test paper based on Si QDs was prepared,which is cost-effective,high sensitivity,good selectivity,easy to use and show excellent anti-interference *** method was applied to analyze the content of Co2+in environmental water samples with satisfying results.

关键词： Silicon quantum dots Fluorescence Poly(vinylpyrrolidine) Test paper Cobalt detection

Trust-based Intelligent Scheme for mitigating Black Hole Attacks in IoT

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Journal of Harbin Institute of Technology(New Series) 2024年第3期31卷 39-50页

作者： Feroz Khan A.B Weslin D Dilli Babu m mohammed muzaffar Hussain Department of Computer Science Syed Hameedha Arts and Science CollegeKilakarai 623806Tamil NaduIndia Department of Information Technology Mohamed Sathak AJ College of EngineeringSiruseriChennai 603103India Department of Information Technology Panimalar Engineering CollegeChennai 600123India Department of Information Technology C.Abdul Hakeem College of Engineering and TechnologyMelvisharam 632509India

Internet of Things(IoT)networks are characterized by a multitude of wireless,interconnected devices that can dynamically join or exit the network without centralized administration or fixed infrastructure for *** multipath routing in IoT networks can improve data transmission reliability and load balancing by establishing multiple paths between source and destination nodes,these networks are susceptible to security threats due to their wireless *** security solutions developed for conventional networks are often ill-suited to the unique challenges posed by IoT *** response to these challenges,this paper proposes the integration of the Ad hoc On-demand multipath Distance Vector(AOmDV)routing protocol with a trust model to enhance network *** findings from this research demonstrate the successful fusion of AOmDV with a trust model,resulting in tangible improvements in network *** assessment of trustworthiness bolsters both security and routing capabilities in IoT *** trust model plays a crucial role in mitigating black hole attacks in IoT networks by evaluating the trustworthiness of nodes and helping in the identification and avoidance of malicious nodes that may act as black *** results validate the efficacy of the proposed trust-based routing mechanism in achieving its *** plays a pivotal role in decision-making and in the creation of secure distribution *** assessing the trustworthiness of nodes,both network security and routing efficiency can be *** effectiveness of the proposed trust-based routing mechanism is scrutinized through simulations,offering insights into its potential advantages in terms of improved network security and routing performance in the context of the IoT.

关键词： mobile ad-hoc network(mANET) routing Ad hoc On-demand multipath Distance Vector(AOmDV) trust model security

Traffic Control Based on Integrated Kalman Filtering and Adaptive Quantized Q-Learning Framework for Internet of Vehicles

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Computer modeling in Engineering & Sciences 2024年第3期138卷 2103-2127页

作者： Othman S.Al-Heety Zahriladha Zakaria Ahmed Abu-Khadrah mahamod Ismail Sarmad Nozad mahmood mohammed mudhafar Shakir Hussein Alsariera Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka(UTeM)Durian TunggalMalaysia College of Computing&Informatics Saudi Electronic UniversityRiyadhSaudi Arabia Department of Electrical Electronic and System EngineeringUniversiti Kebangsaan MalaysiaUKM BangiSelangorMalaysia Computer Technology Engineering College of Engineering TechnologyAl-Kitab UniversityKirkukIraq Faculty of Engineering and Electronic Engineering Universiti Tun Hussein Onn Malaysia(UTHM)Batu PahatMalaysia 6Research Center DepartmentThe University of MashreqBaghdadIraq

Intelligent traffic control requires accurate estimation of the road states and incorporation of adaptive or dynamically adjusted intelligent algorithms for making the *** this article,these issues are handled by proposing a novel framework for traffic control using vehicular communications and Internet of Things *** framework integrates Kalman filtering and *** smoothing Kalman filtering,our data fusion Kalman filter incorporates a process-aware model which makes it superior in terms of the prediction *** traditional Q-learning,our Q-learning algorithm enables adaptive state quantization by changing the threshold of separating low traffic from high traffic on the road according to the maximum number of vehicles in the junction *** evaluation,the model has been simulated on a single intersection consisting of four roads:east,west,north,and south.A comparison of the developed adaptive quantized Q-learning(AQQL)framework with state-of-the-art and greedy approaches shows the superiority of AQQL with an improvement percentage in terms of the released number of vehicles of AQQL is 5%over the greedy approach and 340%over the state-of-the-art ***,AQQL provides an effective traffic control that can be applied in today’s intelligent traffic system.

关键词： Q-learning intelligent transportation system(ITS) traffic control vehicular communication kalman filtering smart city Internet of Things

CNN Channel Attention Intrusion Detection SystemUsing NSL-KDD Dataset

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Computers, materials & Continua 2024年第6期79卷 4319-4347页

作者： Fatma S.Alrayes mohammed Zakariah Syed Umar Amin Zafar Iqbal Khan Jehad Saad Alqurni Information Systems Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia College of Computer and Information Sciences King Saud UniversityRiyadh11362Saudi Arabia College of Computer and Information Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Department of Educational Technologies College of EducationImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia

Intrusion detection systems(IDS)are essential in the field of cybersecurity because they protect networks from a wide range of online *** goal of this research is to meet the urgent need for small-footprint,highly-adaptable Network Intrusion Detection Systems(NIDS)that can identify *** NSL-KDD dataset is used in the study;it is a sizable collection comprising 43 variables with the label’s“attack”and“level.”It proposes a novel approach to intrusion detection based on the combination of channel attention and convolutional neural networks(CNN).Furthermore,this dataset makes it easier to conduct a thorough assessment of the suggested intrusion detection ***,maintaining operating efficiency while improving detection accuracy is the primary goal of this ***,typical NIDS examines both risky and typical behavior using a variety of *** the NSL-KDD dataset,our CNN-based approach achieves an astounding 99.728%accuracy rate when paired with channel *** to previous approaches such as ensemble learning,CNN,RBm(Boltzmann machine),ANN,hybrid auto-encoders with CNN,mCNN,and ANN,and adaptive algorithms,our solution significantly improves intrusion detection ***,the results highlight the effectiveness of our suggested method in improving intrusion detection precision,signifying a noteworthy advancement in this *** efforts will focus on strengthening and expanding our approach in order to counteract growing cyberthreats and adjust to changing network circumstances.

关键词： Intrusion detection system(IDS) NSL-KDD dataset deep-learning machine-learning CNN channel Attention network security

microphallus early management in infancy saves adulthood sensual life:A comprehensive review

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World Journal of Clinical Pediatrics 2024年第2期13卷 16-37页

作者： mohammed Al-Beltagi Nermin Kamal Saeed Adel Salah Bediwy majed A Shaikh Reem Elbeltagi Department of Pediatric Faculty of MedicineTanta UniversityTanta 31511Egypt Department of Pediatric University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671Bahrain Department of Pediatric University Medical CenterSulaiman Al Habib Medical GroupManama 26671Bahrain Department of medical microbiology Section and Pathology Salmaniya Medical ComplexMinistry of HealthKingdom of BahrainManama 12Bahrain Department of medical microbiology Section and Pathology Irish Royal College of SurgeonBusaiteen 15503Bahrain Department of Pulmonology Faculty of MedicineTanta UniversityTanta 31527Egypt Department of Pulmonology University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671Bahrain Department of Pulmonology University Medical CenterSulaiman Al Habib Medical GroupManama 26671Bahrain Department of Pediatrics Ibn Al Nafees HospitalManama 54533Bahrain Department of medicine The Royal College of Surgeons in Ireland-BahrainBusiateen 15503Bahrain

microphallus/micropenis is a rare condition with significant physical and psychological implications for affected *** article comprehensively reviews micropenis,its etiology,epidemiology,and various treatment *** conducted a thorough literature review to collect relevant information on micropenis and microphallus,as well as related *** primary databases were Pubmed,medline,and Google *** searched for articles published in English between 2000 and *** analysis included 67 review articles,56 research studies,11 case reports,one guideline,and one *** search terms included"microphallus","micropenis","congenital hypogonadotropic hypogonadism","androgen insensitivity syndrome","pediatric management of micropenis","testosterone therapy",and"psychosocial implications of micropenis".We focused on diagnosing micropenis and related conditions,including hormonal assessments,medical and surgical treatment options,psychosocial and psychological well-being,sexual development of adolescents,and sociocultural influences on men's perceptions of penile ***,we explored parenting and family dynamics in cases of micropenis and disorders of sex development,implications of hormonal treatment in neonates,and studies related to penile augmentation procedures and their *** article highlights the importance of early diagnosis and intervention in addressing the physical and psychological well-being of individuals with *** procedures,such as penile lengthening and girth enhancement,and non-surgical approaches like hormonal therapy are *** significance of psychological support,education,and lifestyle modifications is *** management and comprehensive care are crucial for individuals with micropenis,from infancy to adolescence and beyond.A multidisciplinary approach involving urologists,endocrinologists,and mental health professionals is *** assessment of treatment e

关键词： microphallus micropenis Hypogonadism Children Adults Sensual life Testosterone therapy

A comparative in vitro study on the effect of SGLT2 inhibitors on chemosensitivity to doxorubicin in mCF-7 breast cancer cells

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Oncology Research 2024年第5期32卷 817-830页

作者： SHAHID KARIm ALANOUD NAHER ALGHANmI mAHA JAmAL HUDA ALKREATHY ALAm JAmAL HIND A.ALKHATABI mohammed BAZUHAIR AFTAB AHmAD Department of Clinical Pharmacology Faculty of MedicineKing Abdulaziz UniversityJeddahSaudi Arabia Department of Biochemistry Faculty of ScienceKing Abdulaziz UniversityJeddahSaudi Arabia Department of Biochemistry College of ScienceUniversity of JeddahJeddah21959Saudi Arabia Health Information Technology Department The Applied CollegeKing Abdulaziz UniversityJeddahSaudi Arabia Pharmacovigilance and medication Safety Unit Center of Research Excellence for Drug Research and Pharmaceutical IndustriesKing Abdulaziz UniversityJeddahSaudi Arabia

Cancer frequently develops resistance to the majority of chemotherapy *** study aimed to examine the synergistic cytotoxic and antitumor effects of SGLT2 inhibitors,specifically Canagliflozin(CAN),Dapagliflozin(DAP),Empagliflozin(EmP),and Doxorubicin(DOX),using in vitro *** precise combination of CAN+DOX has been found to greatly enhance the cytotoxic effects of doxorubicin(DOX)in mCF-7 ***,it was shown that cancer cells exhibit an increased demand for glucose and ATP in order to support their ***,when these medications were combined with DOX,there was a considerable inhibition of glucose consumption,as well as reductions in intracellular ATP and lactate ***,this effect was found to be dependent on the dosages of the *** addition to effectively inhibiting the cell cycle,the combination of CAN+DOX induces substantial modifications in both cell cycle and apoptotic gene *** work represents the initial report on the beneficial impact of SGLT2 inhibitor medications,namely CAN,DAP,and EmP,on the responsiveness to the anticancer properties of *** underlying molecular mechanisms potentially involve the suppression of the function of SGLT2.

关键词： SGLT2 Cancer Cytotoxicity ATP Cell cycle

Polydopamine-coated photoautotrophic bacteria for improving extracellular electron transfer in living photovoltaics

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Nano Research 2024年第2期17卷 866-874页

作者： melania Reggente Charlotte Roullier mohammed mouhib Patricia Brandl Hanxuan Wang Stefano Tacconi Francesco mura Luciana Dini Rossella Labarile massimo Trotta Fabian Fischer Ardemis A.Boghossian Institute of Chemical Sciences and Engineering(ISIC) Ecole Polytechnique Fédérale de Lausanne(EPFL)Lausanne 1015Switzerland Department of Biology and Biotechnology Charles Darwin Sapienza University of RomeRome 00185Italy Research Center on Nanotechnology Applied for Engineering of Sapienza(CNIS) University of Rome SapienzaRome 00185Italy CNR-IPCF Consiglio Nazionale delle Ricerche–Istituto per i Processi Chimico Fisici Bari 70126Italy Institute of Life Technologies HES-SO Valais-WallisSion 1950Switzerland Institute for Renewable Energy HES-SO Valais-WallisSion 1950Switzerland

Living photovoltaics are microbial electrochemical devices that use whole cell–electrode interactions to convert solar energy to *** bottleneck in these technologies is the limited electron transfer between the microbe and the electrode *** study focuses on enhancing this transfer by engineering a polydopamine(PDA)coating on the outer membrane of the photosynthetic microbe Synechocystis *** coating provides a conductive nanoparticle shell to increase electrode adhesion and improve microbial charge extraction.A combination of scanning electron microscopy(SEm),transmission electron microscopy(TEm),UV–Vis absorption,and Raman spectroscopy measurements were used to characterize the nanoparticle shell under various synthesis *** cell viability and activity were further assessed through oxygen evolution,growth curve,and confocal fluorescence microscopy *** results show sustained cell growth and detectable PDA surface coverage under slightly alkaline conditions(pH 7.5)and at low initial dopamine(DA)concentrations(1 mm).The exoelectrogenicity of the cells prepared under these conditions was also characterized through cyclic voltammetry(CV)and chronoamperometry(CA).The measurements show a three-fold enhancement in the photocurrent at an applied bias of 0.3 V(***/AgCl[3 m KCl])compared to non-coated *** study thus lays the framework for engineering the next generation of living photovoltaics with improved performances using biosynthetic electrodes.

关键词： biophotovoltaics bioelectronics photosynthetic bacteria cyanobacteria polydopamine adherence

Photographs and Cartoons: Differences in Interpretation of the Visual Semiotics

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Open Journal of Applied Sciences 2024年第3期14卷 609-625页

作者： Bashayir Al Zahrani mohammed Alhuthali Strategic Planning and Performance management Department in the Armed Forces Hospitals Taif Saudi Arabia Foreign Languages Department Taif University Taif Saudi Arabia

This study looks at the interaction between the process of intersemiosis and resemiosis in multimodality. The importance of both phases is widely acknowledged as part of the meaning making process but many practical studies focus on the first rather than the second. In particular this study looks at two groups of images about gender relations in Saudi Arabia following the post-2017 reforms of the male guardianship laws. One group are mostly made up of photographs and the second group of cartoons and posters. One important finding is that the latter tend to be less ambiguous in their semiotic structure than the former. In particular, there are instances in the first group where a standard study of intersemiosis indicates low modality but the image may be seen as inherently plausible by many observers. This suggests that while resemiosis can be applied to a single image it may be more appropriate as a tool when applied to an overall news article or set of images. In the same way that not all individual semiotic modes are complementary in how they build meaning, then it is possible for different images to be supportive, contradictory or unclear when studied in isolation.

关键词： Visual Grammar Intersemiosis multimodality meaning-making Cartoons

Incident Detection Based on Differential Analysis

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Journal of Information Security 2024年第3期15卷 378-409页

作者： mohammed Ali Elseddig mohamed mejri Computer Science and Information Technology Sudan University of Science and Technology Khartoum Sudan Computer Science Department Laval University Quebec Canada

Internet services and web-based applications play pivotal roles in various sensitive domains, encompassing e-commerce, e-learning, e-healthcare, and e-payment. However, safeguarding these services poses a significant challenge, as the need for robust security measures becomes increasingly imperative. This paper presented an innovative method based on differential analyses to detect abrupt changes in network traffic characteristics. The core concept revolves around identifying abrupt alterations in certain characteristics such as input/output volume, the number of TCP connections, or DNS queries—within the analyzed traffic. Initially, the traffic is segmented into distinct sequences of slices, followed by quantifying specific characteristics for each slice. Subsequently, the distance between successive values of these measured characteristics is computed and clustered to detect sudden changes. To accomplish its objectives, the approach combined several techniques, including propositional logic, distance metrics (e.g., Kullback-Leibler Divergence), and clustering algorithms (e.g., K-means). When applied to two distinct datasets, the proposed approach demonstrates exceptional performance, achieving detection rates of up to 100%.

关键词： IDS SOC SIEm KL-Divergence K-mean Clustering Algorithms Elbow method