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Predictive modelling of volumetric and Marshall properties of asphalt mixtures modified with waste tire-derived char:A statistical neural

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Journal of Road Engineering 2024年第3期4卷 318-333页

作者： Nura Shehu Aliyu Yaro Muslich Hartadi Sutanto noor zainab habib Aliyu Usman Abiola Adebanjo Surajo Abubakar Wada Ahmad Hussaini Jagaba Department of Civil and Environmental Engineering Universiti Teknologi PETRONASSeri Iskandar 32610Malaysia Department of Civil Engineering Ahmadu Bello UniversityZaria 810107Nigeria Institute of Infrastructure and Environment Heriot-Watt UniversityDubai 294345United Arab Emirates School of Civil Engineering Central South UniversityChangsha 410075China Interdisciplinary Research Centre for Membranes and Water Security King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia

The goals of this study are to assess the viability of waste tire-derived char(WTDC)as a sustainable,low-cost fine aggregate surrogate material for asphalt mixtures and to develop the statistically coupled neural network(SCNN)model for predicting volumetric and Marshall properties of asphalt mixtures modified with *** study is based on experimental data acquired from laboratory volumetric and Marshall properties testing on WTDCmodified asphalt mixtures(WTDC-MAM).The input variables comprised waste tire char content and asphalt binder *** output variables comprised mixture unit weight,total voids,voids filled with asphalt,Marshall stability,and *** coupled neural networks were utilized to predict the volumetric and Marshall properties of asphalt *** predictive modeling,the SCNN model is employed,incorporating a three-layer neural network and preprocessing techniques to enhance accuracy and *** optimal network architecture,using the collected dataset,was a 2:6:5 structure,and the neural network was trained with 60%of the data,whereas the other 20%was used for cross-validation and testing *** network employed a hyperbolic tangent(tanh)activation function and a feed-forward *** to the results,the network model could accurately predict the volumetric and Marshall *** predicted accuracy of SCNN was found to be as high value>98%and low prediction errors for both volumetric and Marshall *** study demonstrates WTDC's potential as a low-cost,sustainable aggregate *** SCNN-based predictive model proves its efficiency and versatility and promotes sustainable practices.

关键词： Waste tire Neural network Sustainable practices Asphalt mixtures Predictive model

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Application and circular economy prospects of palm oil waste for eco-friendly asphalt pavement industry:A review

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Journal of Road Engineering 2022年第4期2卷 309-331页

作者： Nura Shehu Aliyu Yaro Muslich Hartadi Sutanto noor zainab habib Madzlan Napiah Aliyu Usman Ahmad Hussaini Jagaba Abdulnaser M.Al-Sabaeei Department of Civil and Environmental Engineering Universiti Teknologi PETRONASBandar Seri Iskandar 32610Malaysia Department of Civil Engineering Ahmadu Bello UniversityZaria 810107Nigeria Institute of Self-Sustainable Building Universiti Teknologi PETRONASBandar Seri Iskandar 32610Malaysia School of Energy GeoscienceInfrastructureand SocietyHeriot-Watt University DubaiDubai 38103United Arab Emirates

During the production of palm oil,a significant amount of waste is ***,because of inefficient handling and utilization,these wastes are becoming a larger *** a result,one initiative is to use these wastes in the pavement industry as sustainable ***,there is still a lack of understanding about the wider incorporation of palm oil waste in asphalt pavement and its *** study examines existing literature on the use of various wastes in the pavement industry,including palm oil clinker(POC),palm oil fibre(POF),palm kernel shell(PKS),and palm oil fuel ash(POFA).As a result,this paper presents a systematic review and scientometric investigation of related study publications on many uses of palm oil waste in the asphalt pavement industry and its performance from 2009 to *** VOS viewer application was used to conduct the sciento-metric study *** relationship between interactions detected in co-authored country studies cited sources of co-citation,and the keyword of the co-occurrence and publication source enabled the identification of the research *** to the systematic literature review,40%–60% POC can be used to fine aggregate for optimal performance,while 0–100%PKS can be used to replace coarse *** addition,50%–80% POFA or POC fine(POCF)can be used as a filler replacement,5%–8% POCF or POFA as a bitumen modifier,and 0.3% POF as a stabilizing ***,the study demonstrates that the safety of utilizing wastes with more than 50% CO_(2) emissions can be curtailed with minimal heavy metal leaching and radioactivity *** scientometric analysis may encourage researchers to seek out gaps in the literature that will aid in the long-term,multifaceted use of palm oil wastes in the asphalt pavement ***,the study recommends employing and researching the enormous potential of using palm oil waste in the pavement sectors because they are more sustainable and have better perfor

关键词： Asphalt pavement Circular economy Eco-friendly Palm oil waste VOSviewer

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Focus on current and emerging treatment options for glioma:A comprehensive review

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World Journal of Clinical Oncology 2024年第4期15卷 482-495页

作者： Brandon Lucke-Wold Burhanuddin Sohail Rangwala Muhammad Ashir Shafique Mohammad Arham Siddiq Muhammad Saqlain Mustafa Fnu Danish Rana Muhammad Umer Nasrullah noor zainab Abdul Haseeb Department of Neurosurgery University of FloridaGainesvilleFL 32608United States Department of Neurosurgery Jinnah Sindh Medical UniversityKarachi 75510Pakistan Department of Neurosurgery Army Medical CollegeRawalpindi 46000Pakistan

This comprehensive review delves into the current updates and challenges associated with the management of low-grade gliomas(LGG),the predominant primary tumors in the central nervous *** a general incidence rate of 5.81 per 100000,gliomas pose a significant global concern,necessitating advancements in treatment techniques to reduce mortality and *** review places a particular focus on immunotherapies,discussing promising agents such as Zotiraciclib and ***,a CDK9 inhibitor,has demonstrated efficacy in glioblastoma treatment in preclinical and clinical studies,showing its potential as a therapeutic ***,a viral immunotherapy,induces inflammation in glioblastoma and displays positive outcomes in both adult and pediatric *** of immunotherapy extends to Pembrolizumab,Nivolumab,and Entrectinib,revealing the challenges and variabilities in patient *** promising preclinical data,the monoclonal antibody Depatuxizumab has proven ineffective in glioblastoma treatment,emphasizing the critical need to understand resistance *** review also covers the success of radiation therapy in pediatric LGG,with evolving techniques,such as proton therapy,showing potential improvements in patient quality of *** treatment is discussed in the context of achieving a balance between preserving the patient’s quality of life and attaining gross total resection,with the extent of surgical resection significantly influencing the survival *** addition to advancements in cancer vaccine development,this review highlights the evolving landscape of LGG treatment,emphasizing a shift toward personalized and targeted *** research is essential for refining strategies and enhancing outcomes in the management of LGG.

关键词： Low-grade gliomas Monoclonal antibody Lerapolturev Glioblastoma CDK9 inhibitor

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Improving Association Rules Accuracy in Noisy Domains Using Instance Reduction Techniques

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Computers, Materials & Continua 2022年第8期72卷 3719-3749页

作者： Mousa Al-Akhras zainab Darwish Samer Atawneh Mohamed habib College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia King Abdullah II School for Information Technology The University of JordanAmman11942Jordan Faculty of Engineering Port Said UniversityPort Said42523Egypt

Association rules’learning is a machine learning method used in finding underlying associations in large *** intentionally or unintentionally present,noise in training instances causes overfitting while building the classifier and negatively impacts classification *** paper uses instance reduction techniques for the datasets before mining the association rules and building the *** reduction techniques were originally developed to reduce memory requirements in instance-based *** paper utilizes them to remove noise from the dataset before training the association rules *** experiments were conducted to assess the accuracy of association rules with different instance reduction techniques,namely:DecrementalReduction Optimization Procedure(DROP)3,DROP5,ALL K-Nearest Neighbors(ALLKNN),Edited Nearest Neighbor(ENN),and Repeated Edited Nearest Neighbor(RENN)in different noise *** show that instance reduction techniques substantially improved the average classification accuracy on three different noise levels:0%,5%,and 10%.The RENN algorithm achieved the highest levels of accuracy with a significant improvement on seven out of eight used datasets from the University of California Irvine(UCI)machine learning *** improvements were more apparent in the 5%and the 10%noise *** RENN was applied,the average classification accuracy for the eight datasets in the zero-noise test enhanced from 70.47%to 76.65%compared to the original *** average accuracy was improved from 66.08%to 77.47%for the 5%-noise case and from 59.89%to 77.59%in the 10%-noise *** confidence was also reported in building the association rules when RENN was *** above results indicate that RENN is a good solution in removing noise and avoiding overfitting during the construction of the association rules classifier,especially in noisy domains.

关键词： Association rules classification instance reduction techniques classification overfitting noise data cleansing

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Tectonic Imprints of the Hazara Kashmir Syntaxis on the Mesozoic Rocks Exposed in Munda, Mohmand Agency, Northwest Pakistan

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Acta Geologica Sinica(English Edition) 2016年第2期90卷 440-455页

作者： Asghar ALI Umer habib Atta Ur REHMAN noor ZADA Zain Ul ABIDIN Muhammad ISMAIL Department of Geology University of Peshawar

Two well-developed mesoscopic folds, D_2 and D_3, which postdate the middle amphibolite metamorphism, were recognized in the western hinterland zone of Pakistan. NW–SE trending D_2 folds developed during NE–SW horizontal bulk shortening followed by NE–SW trending D_3 folds, which developed during SE–NW shortening. Micro- to mesoscopically the NW–SE trending S2 crenulation cleavage, boudins and mineral stretching lineations are overprinted by D_3. The newly established NW–SE trending micro- to mesoscopic structures in Munda termed D_2, which postdated F_1/F_2, is synchronously developed with F3 structures in the western hinterland zone of Pakistan. We interpret that D2 and D3 folds are counterclockwise rotated in the tectonic event that has evolved the Hazara Kashmir Syntaxis after the main phase Indian plate and Kohistan Island Arc collision. Chlorite replacement by biotite in the main matrix crenulation cleavages indicates prograde metamorphism related with D2. The inclusion of muscovite and biotite in garnet porphyroblasts and the presence of staurolite in these rocks indicate that the Barrovian metamorphic conditions predate D2 and D3. We interpret that garnet, staurolite and calcite porphyroblasts grew before D2 because the well developed S2 crenulation cleavage wraps around these porphyroblasts.

关键词： western hinterland zone Hazara Kashmir Syntaxis mesostructures microstructures metamorphism tectonics

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Perceptions and experiences of female burn survivors with facial disfigurement

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Chinese Journal of Traumatology 2021年第1期24卷 53-56页

作者： zainab habib Rukhsana Saddul Fatima Kamran Institute of Applied Psychology University of PunjabLahore54590Pakistan Government College for Women University Sialkot51310Pakistan

Purpose This study aimed at exploring the perceptions and experiences of female burn survivors with facial disfigurement in *** Two different quantitative and qualitative studies were conducted,of which the data were collected from 100 burn patients.A pilot interview protocol was *** indepth interview of five female burn survivors with facial disfigurement was taken in Lahore,*** transcripts were analyzed using thematic analysis and four major themes were identified,respectively physical appearance,posttraumatic growth,relationships and coping *** Thematic analysis reflected differences in attributional style,perceptions and individual experiences of female burn survivors with facial *** study showed the importance of physical appearance for different burn survivors and how their life had changed after suffering from a burn *** It could be easy to have a positive outlook towards life and accept visible differences post injury for the burn survivors,who are grateful for life,get a strong family support and have available *** the contrary,with low self-esteem,lack of a family support and available resources,patients would be dissatisfied with their life.

关键词： Burn injury Facial disfigurement Quality of life Physical appearance Coping

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Extended Forgery Detection Framework for COVID-19 Medical Data Using Convolutional Neural Network

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Computers, Materials & Continua 2021年第9期68卷 3773-3787页

作者： Sajid habib Gill noor Ahmed Sheikh Samina Rajpar Zain ul Abidin N.Z.Jhanjhi Muneer Ahmad Mirza Abdur Razzaq Sultan S.Alshamrani Yasir Malik Fehmi Jaafar Department of Computer Science Shah Abdul Latif UniversityKhairpur66020SindhPakistan National College of Business Administration&Economics Lahore54000Pakistan School of Computer Science and Engineering SCETaylor’s UniversityMalaysia Department of Information Systems Faculty of Computer Science&Information TechnologyUniversiti MalayaMalaysia Department of Information Technology College of Computer and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science College of Engineering&Computing SciencesNew York Institute of TechnologyVancouverCanada The Computer Research Institute of Montreal QuebecCanada

Medical data tampering has become one of the main challenges in the field of secure-aware medical data *** of normal patients’medical data to present them as COVID-19 patients is an illegitimate action that has been carried out in different ways ***,the integrity of these data can be *** detection is a method of detecting an anomaly in manipulated forged *** appropriate number of features are needed to identify an anomaly as either forged or non-forged data in order to find distortion or tampering in the original *** neural networks(CNNs)have contributed a major breakthrough in this type of *** has been much interest from both the clinicians and the AI community in the possibility of widespread usage of artificial neural networks for quick diagnosis using medical data for early COVID-19 patient *** purpose of this paper is to detect forgery in COVID-19 medical data by using CNN in the error level analysis(ELA)by verifying the noise pattern in the *** proposed improved ELA method is evaluated using a type of data splicing forgery and sigmoid and ReLU phenomenon *** proposed method is verified by manipulating COVID-19 data using different types of forgeries and then applying the proposed CNN model to the data to detect the data *** results show that the accuracy of the proposed CNN model on the test COVID-19 data is approximately 92%.

关键词： Data security data privacy medical-data forgery COVID-19 convolutional neural network machine learning deep learning

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Prevalence of Canine Impaction among Saudi Population at Al Qassim Area in the Kingdom of Saudi Arabia

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Open Journal of Clinical Diagnostics 2020年第4期10卷 115-123页

作者： Sumayah Fahad Alhumaid zainab Wajih Aljishi Fathma Fahad Alribdi Hessah Khaled Aldhubaiy Abeer Ibrahim AlGhfaili Al-habib Polyclinic Buraydah Al Qassim KSA Qassim Regional Dental Center Buraydah Al Qassim KSA Buraydah Dental Clinics Buraydah Al Qassim KSA

Background: One of the most reported dental problems is a tooth impaction which is defined as the infraosseous position of the tooth after the estimated time of eruption [1]. Thus, the most notable tooth impaction is canine impaction which is a frequently encountered clinical problem. Aim: This study aimed to determine the prevalence of impacted canines among Saudi people from the 5-year period of 2013-2018 in Al Qassim area in the KSA. Methodology: A retrospective research designed was utilized in the study. A retrospective study simply means to “look back” in the past and usually done by obtaining data from medical records of the targeted population with common characteristics [2]. Results: This 5-year study covered year 2013 to 2018. In this study, there were 1500 who seek dental health in King Fahd Specialist Hospital. Thus, out of these clients, only 89 were identified with cases of impacted canine using the OPG with a prevalence rate of 5.9 %. In addition, it was found that out of 89 patients identified, the patients have impacted canines in different locations: maxillary, mandible, right side and left side. It was found that there were 187 impacted teeth in different locations among 89 clients affected. There were 48 cases (25.7%) of impacted canines on the right side while 64 cases (34.2%) were reported on the left side of the total group. Moreover, impacted maxillary canine were 68 cases (36.4%) and mandibular impacted canine were only 7 cases (3.7%) of the total group. Conclusion: The early detection and treatment approach of impacted canines among affected individuals is vital in order to prevent different problems that may arise during impaction of canine teeth. Awareness, early detection, proper diagnostic test and multiple treatment approaches are needed to prevent different sequelae due to canine impaction.

关键词： Canine Impaction Dental Health Maxillary and Mandibular

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Translation, Cross-Cultural Adaptation, Reliability and Validity of the Malay Version of Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) V3.1

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Health 2018年第7期10卷 985-997页

作者： Nor Asiah Muhamad Omar Mihat Rushidi Ramly Aniza Abdul Aziz Rozanim Kamaruddin Wan Nor Arifin Wan Mansor noor Hashimah Abdullah Mohd Arif Mohd noor Rohaida Ismail Widya Astrina Wisman noor Aliza Lodz Muhammad Fadhli Mohd Yusoff Institute for Public Health Ministry of Health Kuala Lumpur Malaysia Non Communicable Disease Section Ministry of Health Putrajaya Malaysia Universiti Sultan Zainal Abidin Terengganu Malaysia Lembah Pantai District Health Office Ministry of Health Kuala Lumpur Malaysia Hospital Universiti Sains Malaysia Kubang Kerian Malaysia Kelantan State Health Department Ministry of Health Kota Bharu Malaysia Hospital Raja Perempuan zainab II Ministry of Health Kota Bharu Malaysia

Introduction: A psychoactive substance has become an overwhelming public health burden globally. It causes social problems for the user and surrounding people which may affect work or study and cause negative economic impact. Objective: This study aims to translate and culturally adapt the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) into Malay and to assess its reliability and validity. Methods: The Malay version of the ASSIST v 3.1 was developed after the translation and back-translation, which included the stages recommended by Beaton. The ASSIST v 3.1 was administered to 125 respondents. The Malay ASSIST v 3.1 was completed twice by each respondent 7 to 14-day intervals to assess test-retest reliability based on the intra-rater and interrater correlation coefficient. Results: Majority of the respondents were male, Malay and currently employed. The intra-rater reliability is 0.84 and the test-retest reliability (ICC = 0.97) were excellent. Conclusion: Malay ASSIST v3.1 was a valid and reliable tool to screen substances abuse at varying degree. Nonetheless, further studies are needed to assess its responsiveness.

关键词： Substance Use Translation Reliability Validity ASSIST

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Diffuse unilateral subacute neuroretinitis in children:Report of three cases

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Journal of Acute Disease 2021年第3期10卷 122-125页

作者： Nik Mohd noor Nik-Nurfarhana Ahmad Shahrudin Azima Khonji Ismaeel-Mohamed Embong Zunaina Department of Ophthalmology School of Medical SciencesHealth CampusUniversiti Sains Malaysia16150 Kubang KerianKelantanMalaysia Hospital Universiti Sains Malaysia Jalan Raja Perempuan Zainab II16150 Kubang KerianKelantanMalaysia Department of Ophthalmology Salmaniya Medical ComplexP.O.Box 12Ministry of HealthManama CityKingdom of Bahrain

Rationale:Diffuse unilateral subacute neuroretinitis is a form of posterior uveitis and has a few clinical presentations according to the onset of ***’concern:A girl(5-year-old)and 2 boys(both 12-year-old)were included in this *** presentation,the visual acuity ranges from 6/12 to 6/*** three cases had different symptoms(case 1:floaters;case 2:eye redness and pain;case 3:central scotoma).All of them had variable posterior uveitis features(case 1:vitritis and focal retinitis;case 2:subretinal larva track;case 3:choroiditis).Diagnosis:Diffuse unilateral subacute ***:All 3 patients were treated with oral ***:All patients showed remarkable resolution of inflammatory reactions of the eye and also improvement of ***:High index of suspicion should be made for children and young adults who are previously healthy but presented with suddenly onset of reduced vision with clinical features of posterior uveitis of variable *** features together with a full blood picture can help to diagnose the problem when other parameters are negative.

关键词： Diffuse unilateral subacute neuroretinitis Worms’infestations Nematodes

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