检索结果-南通市图书馆

Biochar-compost-based controlled-release nitrogen fertilizer intended for an active microbial community

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Agricultural science and Engineering 2024年第2期11卷 326-343页

作者： Robiul Islam RUBEL Lin WEI salman alanazi Abdulkarim ALDEKHAIL Anne CMCIDREIRA Xufei YANG sanjita WAsTI samarthya BHAGIA Xianhui ZHAO Department of Agricultural and Biosystem Engineering South Dakota State UniversityBrookingsSD 57007USA Tickle College of Engineering University of Tennessee KnoxvilleKnoxvilleTN 37996USA Oak Ridge National Laboratory Oak RidgeTN 37830USA

Nitrogen(N) fertilizers in agriculture suffer losses by volatilization of N to the air, surface runoff and leaching into the soil, resulting in low N use efficiency(NUE)( 50%) and raising severe environmental pollutions. Controlledrelease nitrogen fertilizers(CRNFs) can control the release of N nutrients to NUE in crop production. Different methods were used to develop new ***, different CRNF technologies are still underdeveloped due to inadequate controlling on N releasing time and/or unsustainable diffusion. The study on the influences of CRNF processing parameters on microbial conditions are lacking when the CRNFs composed of various bio-ingredients such as biochar, composts, and biowaste. The complexity of processing methods, material biodegradability, and other physical properties make current CRNFs of questionable value in agricultural production. This research aims to develop a novel biochar-compost-based controlled-release urea fertilizer(BCRUF) to preserve microbial properties carried by the compost. The BCRUF was synthesized by pelletizing the 50:50(dry, wt/wt) mixture of biochar and compost. BCRUF was loaded with urea and then spray-coated with polylactic acid(PLA). The releasing time of two types of BCRUFs, coated and uncoated with PLA, for 80% of N release in water was up to 6 h at three different temperatures(4, 23, and 40 °C), compared to conventional urea fertilizer and commercial environmentally smart N(EsN) fertilizer. The releasing time of coated BCRUF for 80% N release in soil was up to 192 h(8 days). Fourier-transform infrared spectroscopy(FTIR) analysis revealed that no new functional groups were found in the release solution, indicating no new chemical hazards generated. The differential scanning calorimetry(DsC)tests also verified that its thermal stability could be up to 160 °C. The microbe populations in the BCRUF pellets were reduced after the pelleting and drying processes in BCRUF fabrication, but a few bacteria can endure in t

关键词： soil microbial community biochar compost controlled-release nitrogen fertilizer polylactic acid spray coating

A Hybrid Machine Learning Framework for security Intrusion Detection

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computer systems science & Engineering 2024年第3期48卷 835-851页

作者： Fatimah Mudhhi alanazi Bothina Abdelmeneem Elsobky shaimaa Aly Elmorsy Mathematics and Computer science Department Faculty of ScienceAlexandria UniversityAlexandriaEgypt

Proliferation of technology,coupled with networking growth,has catapulted cybersecurity to the forefront of modern security *** this landscape,the precise detection of cyberattacks and anomalies within networks is crucial,necessitating the development of efficient intrusion detection systems(IDs).This article introduces a framework utilizing the fusion of fuzzy sets with support vector machines(sVM),named *** core strategy of FsVM lies in calculating the significance of network features to determine their relative *** with minimal significance are prudently disregarded,a method akin to feature *** process not only curtails the computational burden of the classification algorithm but also ensures the preservation of high accuracy *** ascertain the efficacy of the FsVM model,we have employed a publicly available dataset from Kaggle,which encompasses two distinct decision *** evaluation methodology involves a comprehensive comparison of the classification accuracy of the processed dataset against four contemporary models in the *** performance metrics scores are meticulously calculated for each *** comparative analysis reveals that the FsVM model demonstrates a marked superiority over its counterparts,enhancing classification accuracy by a minimum of 3%.These findings underscore the FsVM model’s robustness and reliability,positioning it as a highly effective tool in the realm of cybersecurity.

关键词： Cybersecurity fuzzy sets classification internet of things

Assessing the Impact of Regulations on Radiation safety Culture and Practices in Radiology Departments

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Applied Mathematics and Physics 2024年第8期12卷 3006-3016页

作者： saad Alqahtani Khaled soliman Khaled Altuwayjiri Mohammed Al shehri Yahya Jubran Alwaleed Al Hussein Nawaf alanazi Nawaf alanazi Fahad Alqarni Hela Alqahtani Ahmed Jowana Radiodiagnostic and Medical Imaging Department Prince Sultan Military Medical City Riyadh Saudi Arabia Medical Physics Department Prince Sultan Military Medical City Riyadh Saudi Arabia Radiology Department King Abdullah Bin Abdulaziz University Hospital Riyadh Saudia Arabia Radiology Department Prince Sultan Cardiac Center Riyadh Saudia Arabia Radiology Department Durma General Hospital Riyadh Saudi Arabia Nursing Department Alquwayiyah Primary Health Care Riyadh Saudi Arabia

Background: The need to establish a strong culture around radiation safety is derived from the assertion that medical practitioners, patients, and third parties should not be exposed to unnecessary radiation. Authorities have endeavored to enact policies to protect all employers and patients in radiology departments. Objectives: To assess the impact of radiation safety practices and regulations on the ongoing improvements in radiation safety culture and practices in radiology departments. This will be achieved through a subjective assessment of national and international rules and regulations by healthcare professionals. Materials and Methods: We conducted a questionnaire survey in the radiology departments of three JCI-accredited hospitals in the Riyadh region to identify and assess the impact of national radiation regulations and the accompanying processes on the improvement of radiation safety culture and practices in radiology departments. Results: There were statistically significant differences in the grading system results among various groups of respondents, based on their educational level. Also, there are statistically significant differences between the assessments of safety level results in the answers provided by various groups of respondents according to education level in favor of the master’s degree. Conclusion: The study concludes that technicians with a diploma degree require stricter regulation. Furthermore, the results of this study suggest that an exposure tracking system and a regulatory action supporting it may be useful in the ongoing task of improving patients’ radiation safety.

关键词： Impact Radiation safety Culture Regulations Accreditation Practice Radiology Departments

Extracellular vesicles as tools and targets in therapy for diseases

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

signal Transduction and Targeted Therapy 2024年第3期9卷 872-912页

作者： Mudasir A.Kumar sadaf K.Baba Hana Q.sadida sara Al.Marzooqi Jayakumar Jerobin Faisal H.Altemani Naseh Algehainy Mohammad A.alanazi Abdul-Badi Abou-samra Rakesh Kumar Ammira s.Al-shabeeb Akil Muzafar A.Macha Rashid Mir Ajaz A.Bhat Watson-Crick Centre for Molecular Medicine Islamic University of Science and TechnologyAwantiporaKashmir 192122India Department of Human Genetics-Precision Medicine in Diabetes Obesity and Cancer ProgramSidra MedicineDohaQatar Qatar Metabolic Institute Academic Health SystemHamad Medical CorporationDohaQatar Department of Medical Laboratory Technology Prince Fahad Bin Sultan Chair for Biomedical ResearchFaculty of Applied Medical SciencesUniversity of TabukTabukSaudi Arabia school of Biotechnology Shri Mata Vaishno Devi UniversityKatraIndia

Extracellular vesicles(EVs)are nano-sized,membranous structures secreted into the extracellular *** exhibit diverse sizes,contents,and surface markers and are ubiquitously released from cells under normal and pathological *** serum is a rich source of these EVs,though their isolation from serum proteins and non-EV lipid particles poses *** vesicles transport various cellular components such as proteins,mRNAs,miRNAs,DNA,and lipids across distances,influencing numerous physiological and pathological events,including those within the tumor microenvironment(TME).Their pivotal roles in cellular communication make EVs promising candidates for therapeutic agents,drug delivery systems,and disease *** in cancer diagnostics,EV detection can pave the way for early identification and offers potential as diagnostic ***,various EV subtypes are emerging as targeted drug delivery tools,highlighting their potential clinical *** need for non-invasive biomarkers to monitor biological processes for diagnostic and therapeutic purposes remains *** into the unique composition of EVs could unlock advanced diagnostic and therapeutic avenues in the *** this review,we discuss in detail the roles of EVs across various conditions,including cancers(encompassing head and neck,lung,gastric,breast,and hepatocellular carcinoma),neurodegenerative disorders,diabetes,viral infections,autoimmune and renal diseases,emphasizing the potential advancements in molecular diagnostics and drug delivery.

关键词： diseases sized sizes

Improving the operational stability of perovskite solar cells with cesium-doped graphene oxide interlayer

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Energy Chemistry 2024年第9期96卷 483-490页

作者： Masaud Almalki Katerina Anagnostou Konstantinos Rogdakis Felix T.Eickemeyer Mostafa Othman Minas M.stylianakis Dimitris Tsikritzis Anwar Q.alanazi Nikolaos Tzoganakis Lukas Pfeifer Rita Therisod Xiaoliang Mo Christian M.Wolff Aïcha Hessler-Wyser shaik M.Zakeeruddin Hong Zhang Emmanuel Kymakis Michael Grätzel Laboratory of Photonics and Interfaces École Polytechnique Fédérale de Lausanne(EPFL)Lausanne 1015Switzerland Department of Electrical and Computer Engineering Hellenic Mediterranean UniversityHeraklionCrete 71410Greece Institute of Electrical and Microengineering(IEM)Photovoltaics and Thin-Film Electronics Laboratory(PV-Lab) École Polytechnique Fédérale de Lausanne(EPFL)Neuchâtel 2000Switzerland Department of Nursing Faculty of Health SciencesHellenic Mediterranean UniversityCrete 71410Greece Centre Interdisciplinaire de Microscopie Electronique École Polytechnique Fédérale de Lausanne(EPFL)Lausanne 1015Switzerland Future Energy Technology Institute King Abdulaziz City for Science and Technology(KACST)P.O.Box 6086Riyadh 11442Saudi Arabia state Key Laboratory of Photovoltaic science and Technology Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and PerceptionInstitute of OptoelectronicsDepartment of Materials ScienceFudan UniversityShanghai 200433China

Perovskite solar cells(PsCs)have made great advances in terms of power conversion efficiency(PCE),yet their subpar stability continues to hinder their *** interface between the perovskite layer and the charge-carrier transporting layers plays a crucial role in undermining the stability of *** this work,we propose a strategy to stabilize high-performance PsCs with PCE over 23%by introducing a cesium-doped graphene oxide(GO-Cs)as an interlayer between the perovskite and hole-transporting *** GO-Cs treated PsCs exhibit excellent operational stability with a projected T80(the time where the device PCE reduces to 80%of its initial value)of 2143 h of operation at the maximum powering point under one sun illumination.

关键词： Perovskite solar cells Doped graphene oxide Graphene related material Long-term operational stability

Hybrid Malware Variant Detection Model with Extreme Gradient Boosting and Artificial Neural Network Classifiers

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第9期76卷 3483-3498页

作者： Asma A.Alhashmi Abdulbasit A.Darem sultan M.alanazi Abdullah M.Alashjaee bader Aldughayfiq Fuad A.Ghaleb shouki A.Ebad Majed A.alanazi Department of Computer science Northern Border UniversityArar9280Saudi Arabia Department of Computer sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia Department of Information systems College of Computer Science and InformationJouf UniversitySakakaAljoufSaudi Arabia school of Computing University Teknologi Malaysia81310 UTM Johor BahruJohor81310Malaysia Department of Computer and Electronic Engineering Sana’a Community CollegeSana’a5695Yemen

In an era marked by escalating cybersecurity threats,our study addresses the challenge of malware variant detection,a significant concern for amultitude of sectors including petroleum and mining *** paper presents an innovative Application Programmable Interface(API)-based hybrid model designed to enhance the detection performance of malware *** model integrates eXtreme Gradient Boosting(XGBoost)and an Artificial Neural Network(ANN)classifier,offering a potent response to the sophisticated evasion and obfuscation techniques frequently deployed by malware *** model’s design capitalizes on the benefits of both static and dynamic analysis to extract API-based features,providing a holistic and comprehensive view of malware *** these features,we construct two XGBoost predictors,each of which contributes a valuable perspective on the malicious activities under *** outputs of these predictors,interpreted as malicious scores,are then fed into an ANN-based classifier,which processes this data to derive a final *** strength of the proposed model lies in its capacity to leverage behavioral and signature-based features,and most importantly,in its ability to extract and analyze the hidden relations between these two types of *** efficacy of our proposed APIbased hybrid model is evident in its performance *** outperformed other models in our tests,achieving an impressive accuracy of 95%and an F-measure of 93%.This significantly improved the detection performance of malware variants,underscoring the value and potential of our approach in the challenging field of cybersecurity.

关键词： API-based hybrid malware detection model static and dynamic analysis malware detection

Development of Non-ABO Red Blood Cell Alloantibodies in Patient Undergoing Allogeneic Haematopoietic stem Cell Transplant

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Case Reports in Clinical Medicine 2024年第5期13卷 162-170页

作者： Ahmed Alsuhaibani Khalid Batarfi Ahmed Alharbi Haya Alwasel Abdullah Alenazi Abdulmohsen Alotaibi Jalal Hassan Rayyan Alotaibi Hajer Aziz Nourah Alharethi sara Alobaidi Maram Alonayzan sanad Alharthi Majd alanazi sarah Alotaibi Ahmed shareefi Bandar Alqahtani Department of Laboratory and Pathology King Abdulaziz Medical City of National Guard Riyadh Saudi Arabia

Alloantibodies that are non ABO Alloimmunization to protein antigens happens only after exposure, in contrast to ABO isohaemagglutinins, which are present naturally, even in the absence of prior exposure. It is recognized that while non-ABO RBC antibodies are less common than ABO antibodies, they generate essentially the same issues that lead to unfavorable clinical results. If non-ABO alloantibodies are identified early on, these issues related complications may be avoided This call for an in-depth understanding of the recipient and donor’s ABO-Rh grouping, antibody screening, and the phenotype of certain antigens. Equally important, the temporal association time between transplantation and hemolysis can help identify the underlying mechanism of hemolysis and direct appropriate management. Therefore, for that, it is crucial to identify the etiology of post-HsCT anemia for prevention and therapy, in addition to a thorough grasp of the mechanism of anemia in non-ABO-incompatible HsCT and the temporal link between HsCT and anemia. Finding the cause of post-HsCT anemia is essential for prevention and therapy, in addition to a thorough grasp of the mechanism of anemia in non-ABO-incompatible HsCT and the temporal link between HsCT and anemia. Therefore, for that, it is crucial to identify the etiology of post-HsCT anemia. In this case report review, we would like to highlight the vital role of transfusion medicine services and stem cell clinical teams in paying particular attention to the clinical significance of non-ABO alloantibodies involved to avoid causing overt hemolysis of incompatible donor RBCs or delayed erythropoiesis. Considering the fact that some of the Haematopoietic stem cell transplant centers do not give an attention to the other non-ABO RBC antigens.

关键词： Haematopoietic stem Cell Transplant (HsCT) Non-ABO Red Blood Cell Antibodies Alloantibodies

secure and Anonymous Three-Factor Authentication scheme for Remote Healthcare systems

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer systems science & Engineering 2022年第8期42卷 703-725页

作者： Munayfah alanazi shadi Nashwan Department of Computer science College of Computer and Information SciencesJouf UniversitySakaka42421Saudi Arabia

Wireless medical sensor networks(WMsNs)play a significant role in increasing the availability of remote healthcare *** vital and physiological data of the patient can be collected using the WMsN via sensor nodes that are placed on his/her body and then transmitted remotely to a healthcare professional for proper *** protection of the patient’s privacy and their data from unauthorized access is a major concern in such ***,an authentication scheme with a high level of security is one of the most effective mechanisms by which to address these security *** authentication schemes for remote patient monitoring have been proposed ***,the majority of these schemes are extremely vulnerable to attacks and are unsuitable for practical *** paper proposes a secure three-factor authentication scheme for a patient-monitoring healthcare system that operates remotely using a *** proposed authentication scheme is formally verified using the Burrows,Abadi and Needham’s(BAN)logic model and an automatic cryptographic protocol verifier(ProVerif)*** show that our authentication scheme can prevent relevant types of security breaches in a practical context according to the discussed possible attack *** of the security and performance are carried out with recently proposed authentication *** results of the analysis show that the proposed authentication scheme is secure and practical for use,with reasonable storage space,computation,and communication efficiency.

关键词： Mutual authentication biometric feature perfect forward secrecy user anonymity proVerif tool BAN logic model

stochastic Programming for Hub Energy Management Considering Uncertainty Using Two-Point Estimate Method and Optimization Algorithm

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & sciences 2023年第12期137卷 2163-2192页

作者： Ali s.Alghamdi Mohana alanazi Abdulaziz alanazi Yazeed Qasaymeh Muhammad Zubair Ahmed Bilal Awan M.G.B.Ashiq Department of Electrical Engineering College of EngineeringMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Electrical Engineering College of EngineeringJouf UniversitySakaka72341Saudi Arabia Department of Electrical Engineering College of EngineeringNorthern Border UniversityAr’Ar73222Saudi Arabia Automation and Control Department College of Engineering TechnologyUniversity of Doha for Science and TechnologyDoha24449Qatar Department of Electrical and Computer Engineering College of Engineering and Information TechnologyAjman UniversityAjman20550United Arab Emirates Department of Physics College of ScienceImam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia

To maximize energy profit with the participation of electricity,natural gas,and district heating networks in the day-ahead market,stochastic scheduling of energy hubs taking into account the uncertainty of photovoltaic and wind resources,has been carried *** has been done using a new meta-heuristic algorithm,improved artificial rabbits optimization(IARO).In this study,the uncertainty of solar and wind energy sources is modeled using Hang’s two-point estimating method(TPEM).The IARO algorithm is applied to calculate the best capacity of hub energy equipment,such as solar and wind renewable energy sources,combined heat and power(CHP)systems,steamboilers,energy storage,and electric cars in the *** standard ARO algorithmis developed to mimic the foraging behavior of rabbits,and in this work,the algorithm’s effectiveness in avoiding premature convergence is improved by using the dystudynamic inertia weight *** proposed IARO-based scheduling framework’s performance is evaluated against that of traditional ARO,particle swarm optimization(PsO),and salp swarm algorithm(ssA).The findings show that,in comparison to previous approaches,the suggested meta-heuristic scheduling framework based on the IARO has increased energy profit in day-ahead electricity,gas,and heating markets by satisfying the operational and energy hub ***,the results show that TPEM approach dependability consideration decreased hub energy’s profit by 8.995%as compared to deterministic planning.

关键词： stochastic energy hub scheduling energy profit uncertainty Hong’s two-point estimate method improved artificial rabbits optimization