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Synthesis of novel magneto-hybrid polyoxometalate composite membrane with simultaneous photocatalytic self-cleaning and antifouling functionalities

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Frontiers of Chemical Science and Engineering 2023年第10期17卷 1450-1459页

作者： Nee Nee Tan Qi Hwa Ng Siti Kartini Enche Ab Rahim abdul latif ahmad Peng Yong Hoo Thiam Leng Chew Faculty of Chemical Engineering&Technology Universiti Malaysia Perlis(UniMAP)Perlis 02600Malaysia Centre of Excellent for Frontier Materials Research Universiti Malaysia Perlis(UniMAP)Perlis 02600Malaysia School of Chemical Engineering Engineering CampusUniversiti Sains MalaysiaPenang 14300Malaysia Department of Chemical Engineering Faculty of EngineeringUniversiti Teknologi PETRONASPerak 32610Malaysia CO_(2) Research Centre(CO2RES) Institute of Contaminant ManagementUniversiti Teknologi PETRONASPerak 32610Malaysia

Membrane technology is ideal for removing aqueous humic acid,but humic acid deposits cause membrane fouling,a significant challenge that limits its ***,this work proposed an alternative approach to the controllably magnetically induced magnetohybrid polyoxometalate(magneto-HPOM)nanocomposite migration toward the polyethersulfone(PES)membrane surface under a magnetic field to enhance the self-cleaning and antifouling functionalities of the *** incorporating magneto-HPOM nanocomposite into the PES casting solution,functionalized magnetite nanoparticles(F-MNP)were first coated with HPOM photocatalyst to fabricate a magneto-HPOM-PES *** was shown that the apparent impacts of this novel magneto-HPOM-PES membrane on the hydrophilic behavior and photocatalytic properties of the magneto-HPOM nanocomposite improve the hydrophilicity,separation performance,antifouling and self-cleaning properties of the membrane compared with neat PES ***,after exposure to ultraviolet light,the magneto-HPOM-PES membrane can be recovered after three cycles with a flux recovery ratio of 107.95%,100.06%,and 95.56%,which is attributed to the temporal super hydrophilicity ***,the magneto-HPOM-PES membrane could efficiently maintain 100%humic acid rejection for the first and second cycles and 99.81%for the third *** study revealed a novel approach to fabricating membranes with high antifouling and self-cleaning properties for water treatment.

关键词： magneto-hybrid polyoxometalate nanocomposite composite membrane antifouling self-cleaning magnetic and photocatalytic responsiveness

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Redefining biofuels:Investigating oil palm biomass as a promising cellulose feedstock for nitrocellulose-based propellant production

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Defence Technology（防务技术） 2024年第7期37卷 111-132页

作者： Khoirul Solehah binti abdul Rahim Alinda binti Samsuri Siti Hasnawati binti Jamal Siti Aminah binti Mohd Nor Siti Nor Ain binti Rusly Hafizah binti Ariff Nur Shazwani binti abdul latif Centre for Tropicalization(CENTROP) Defence Research InstituteUniversiti Pertahanan Nasional MalaysiaKem Sungai Besi57000 Kuala LumpurMalaysia Department of Chemistry and Biology Centre for Defence Foundation StudiesUniversiti Pertahanan Nasional MalaysiaKem Sungai Besi57000 Kuala LumpurMalaysia

This review paper explores the potential of oil palm biomass as a valuable cellulose source for the production of nitrocellulose-based propellants,contributing to the green revolution and sustainable energy *** highlights the availability of the corresponding biomass in Malaysia and in line with global studies,the chemical compositions,as well as a brief description of current technologies for converting biomass of oil palm into value added products specifically *** to achieve maximum utilization of biomass from oil palm industry for cellulose production and prospective source for nitrocellulose-based propellant are also *** methodology section outlines the pretreatment of lignocellulosic fibres,cellulose extraction,and nitrocellulose production ***,the review underscores the prospective of palm oil biomass as a sustainable cellulose source for propellant manufacturing,while acknowledging the need for further research and advancements in the field.

关键词： Biopolymer Cellulose nitrate Energetic materials Green technology Palm oil

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Gradient Optimizer Algorithm with Hybrid Deep Learning Based Failure Detection and Classification in the Industrial Environment

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1341-1364页

作者： Mohamed Zarouan Ibrahim M.Mehedi Shaikh abdul latif Md.Masud Rana Department of Electrical and Computer Engineering(ECE) King Abdulaziz UniversityJeddah21589Saudi Arabia Center of Excellence in Intelligent Engineering Systems(CEIES) King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Nuclear Engineering King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Electrical and Electronic Engineering Rajshahi University of Engineering and TechnologyRajshahiBangladesh

Failure detection is an essential task in industrial systems for preventing costly downtime and ensuring the seamlessoperation of the system. Current industrial processes are getting smarter with the emergence of Industry ***, various modernized industrial processes have been equipped with quite a few sensors to collectprocess-based data to find faults arising or prevailing in processes along with monitoring the status of *** diagnosis of rotating machines serves a main role in the engineering field and industrial production. Dueto the disadvantages of existing fault, diagnosis approaches, which greatly depend on professional experienceand human knowledge, intellectual fault diagnosis based on deep learning (DL) has attracted the researcher’sinterest. DL reaches the desired fault classification and automatic feature learning. Therefore, this article designs a Gradient Optimizer Algorithm with Hybrid Deep Learning-based Failure Detection and Classification (GOAHDLFDC)in the industrial environment. The presented GOAHDL-FDC technique initially applies continuous wavelettransform (CWT) for preprocessing the actual vibrational signals of the rotating machinery. Next, the residualnetwork (ResNet18) model was exploited for the extraction of features from the vibration signals which are thenfed into theHDLmodel for automated fault detection. Finally, theGOA-based hyperparameter tuning is performedtoadjust the parameter valuesof theHDLmodel *** experimental result analysis of the GOAHDL-FD Calgorithm takes place using a series of simulations and the experimentation outcomes highlight the better resultsof the GOAHDL-FDC technique under different aspects.

关键词： Fault detection Industry 4.0 gradient optimizer algorithm deep learning rotating machineries artificial intelligence

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Forestvoltaics,Floatovoltaics and Building Applied Photovoltaics(BAPV)Potential for a University Campus

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Energy Engineering 2024年第9期121卷 2331-2361页

作者： Rittick Maity Muhammad Khairul Imran bin ahmad Shuhaimi Kumarasamy Sudhakar Amir abdul Razak Faculty of Electrical and Electronics Engineering Technology Universiti Malaysia Pahang Al-Sultan AbdullahPekan26600Malaysia Centre for Research in Advanced Fluid and Processes UniversitiMalaysia Pahang Al-Sultan AbdullahGambang26300Malaysia Faculty of Mechanical and Automotive Engineering Technology Universiti Malaysia Pahang Al-Sultan AbdullahPekan26600Malaysia Centre for Automotive Engineering Universiti Malaysia Pahang Al-Sultan AbdullahPekan26600Malaysia Energy Centre Maulana Azad National Institute of TechnologyBhopal462003India

The United Nations’Sustainable Development Goals(SDGs)highlight the importance of affordable and clean energy *** energy is a perfect example,being both renewable and *** popularity shows no signs of slowing down,with solar photovoltaic(PV)panels being the primary technology for converting sunlight into *** are continuously being made to ensure cost-effectiveness,high-performing cells,extended lifespans,and minimal maintenance *** study focuses on identifying suitable locations for implementing solar PVsystems at theUniversityMalaysia PahangAl Sultanabdullah(UMPSA),Pekan campus including buildings,water bodies,and forest areas.A combined technical and economic analysis is conducted using Helioscope for simulations and the Photovoltaic Geographic Information System(PVGIS)for economic *** simulation examine case studies for PV installations in forested areas,lakes,and *** approach provides comprehensive estimations of solar photovoltaic potential,annual cost savings,electricity costs,and greenhouse gas emission *** on land coverage percentages,Floatovoltaics have a large solar PV capacity of 32.3 Megawatts(MW);forest-based photovoltaics(Forestvoltaics)achieve maximum yearly savings of RM 37,268,550;and Building Applied Photovoltaics(BAPV)have the lowest CO2 emissions and net carbon dioxide reduction compared to other plant *** also clarifies the purpose of using both software tools to achieve a comprehensive understanding of both technical and economic aspects.

关键词： Helioscope solar photovoltaic PV GIS performance land coverage economics

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Retroperitoneal bronchogenic cyst:A case report and review of literature

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World Journal of Clinical Cases 2024年第15期12卷 2586-2596页

作者： abdul Malik Qais ahmad Naseer Muhammad Asad Iqbal Shi-Ya Han Sheng-Chun Dang Department of General Surgery The Affiliated Hospital of Jiangsu UniversityZhenjiang 212001Jiangsu ProvinceChina Department of Preventive Medicine and Public Health Laboratory Science School of MedicineJiangsu UniversityZhenjiang 212013Jiangsu ProvinceChina Department of Laboratory Medicine School of MedicineJiangsu UniversityZhenjiang 212013Jiangsu ProvinceChina Department of Clinical Pharmacy Shenyang Pharmaceutical UniversityShenyang 110000Liaoning ProvinceChina Department of Surgery Siyang HospitalSuqian 223700Jiangsu ProvinceChina

BACKGROUND Bronchogenic cysts are rare developmental anomalies that belong to the category of congenital enterogenous *** arise from lung buds and are present at *** embryonic foregut is their ***,they are located within the chest cavity,particularly in the cavum mediastinale of the thoracic cavity or lodged in the pulmonary parenchyma,and are considered a type of lung bud *** SUMMARY A 49-year-old male patient was admitted to the hospital due to the detection of a retroperitoneal mass during a physical *** weeks before admission,the patient underwent a physical examination and routine laboratory tests,which revealed a space-occupying mass in the retroperitoneal *** patient did not report any symptoms(such as abdominal pain,flatulence,nausea,vomiting,high fever,or chills).The computed tomography(CT)revealed a retroperitoneal spaceoccupying lesion with minimal enhancement and a CT value of approximately 36 Hounsfield *** lesion was not delineated from the boundary of the pancreatic body and was closely related to the retroperitoneum *** Following a series of tests,an abdominal mass was identified,prompting the implementation of a laparoscopic retroperitoneal mass excision *** the investigation,an 8 cm×7 cm cystic round-shaped mass with a distinct demarcation was identified in the upper posterior region of the ***,full resection of the mass was *** pathological examination reveled a cystic mass characterized by a smooth inner *** cystic mass was found to contain a white,viscous liquid within its capsule.

关键词： Bronchogenic cyst Retroperitoneal space Excision Laparoscopic surgery Case report

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L-homophenylalanine Production by Reductive Amination of 2-oxo-4-phenylbutanoic Acid via Integrated Membrane Bioreactor

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材料科学与工程（中英文A版） 2011年第2X期1卷 139-145页

作者： abdul latif ahmad Oh Pei Ching Syamsul Rizal Abd Shukor School of Chemical Engineering Engineering Campus Universiti Sains Malaysia Nibong Teba114300 Penang Malaysia

This paper describes the enzymatic procedures for synthesis of L-homophenylalanine (L-HPA), a precursor for production of angiotensin-converting enzyme (ACE) inhibitor, which possesses significant clinical application in the management of hypertension and congestive heart failure (CHF). For production of L-HPA, the reductive amination of 2-oxo-4-phenylbutanoic acid, catalyzed by L-phenylalanine dehydrogenase was examined. The reaction requires NADH and the cofactor was regenerated from NAD+ catalyzed by formate dehydrogenase. For production of L-HPA in an integrated membrane bioreactor, the kinetic parameters of L-phenylalanine dehydrogenase enzyme are determined. By adjusting the pH and temperature of the reaction solution, high yield could be obtained.

关键词：膜生物反应器苯丙氨酸还原胺化生产丙氨酸脱氢酶血管紧张素转换酶集成氧代

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The corrosion scenario in human body: Stainless steel 316L orthopaedic implants

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Natural Science 2012年第3期4卷 184-188页

作者： Kean-Khoon Chew Sharif Hussein Sharif Zein abdul latif ahmad School of Chemical Engineering Engineering Campus Universiti Sains Malaysia Penang Malaysia

As the world’s populations increase and age, there is a parallel increase in the number of medical procedures addressed to bone related injuries. It is estimated that approximately 1 million of orthopaedic implant surgeries in association with total joint replacements are needed every year. This number is expected to double between 1999 and 2025 as a result of increasing numbers of musculoskeletal injuries (i.e., due to routine activities such as work, sport, etc.) and musculoskeletal diseases (i.e., such as osteoporosis, arthritis and bursitis due to increase age). Consequently, the increase demand for better quality of life has necessarily led people to opt for high quality orthopaedic devices for early recovery and speedy resumption of their routine activities. Unfortunately in the present time, it has been found that the current used orthopaedic implants have the tendencies to fail after long period of usage, due to the corrosion issue of implant in the human body. Therefore, this paper provides a simple overview about the corrosion issue of stainless steel (SS) 316L as implants in human body. Electrophoretic deposition (EPD) of hydroxypaptite (HA) bioceramic was proposed as the approach to minimize the corrosion phenomena. Additionally, the corrosion testing of HA coated SS 316L in comparison to pristine SS 316L was also performed and discussed.

关键词： Corrosion Metallic Implant Stainless Steel Electrophoretic Deposition Hydroxyapatite

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Semantic Segmentation and YOLO Detector over Aerial Vehicle Images

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Computers, Materials & Continua 2024年第8期80卷 3315-3332页

作者： Asifa Mehmood Qureshi abdul Haleem Butt abdulwahab Alazeb Naif Al Mudawi Mohammad Alonazi Nouf abdullah Almujally ahmad Jalal Hui Liu Faculty of Computing and AI Air UniversityIslamabad44000Pakistan Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Department of Information Systems College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Cognitive Systems Lab University of BremenBremen28359Germany

Intelligent vehicle tracking and detection are crucial tasks in the realm of highway ***,vehicles come in a range of sizes,which is challenging to detect,affecting the traffic monitoring system’s overall *** learning is considered to be an efficient method for object detection in vision-based *** this paper,we proposed a vision-based vehicle detection and tracking system based on a You Look Only Once version 5(YOLOv5)detector combined with a segmentation *** model consists of six *** the first step,all the extracted traffic sequence images are subjected to pre-processing to remove noise and enhance the contrast level of the *** pre-processed images are segmented by labelling each pixel to extract the uniform regions to aid the detection phase.A single-stage detector YOLOv5 is used to detect and locate vehicles in *** detection was exposed to Speeded Up Robust Feature(SURF)feature extraction to track multiple *** on this,a unique number is assigned to each vehicle to easily locate them in the succeeding image frames by extracting them using the feature-matching ***,we implemented a Kalman filter to track multiple *** the end,the vehicle path is estimated by using the centroid points of the rectangular bounding box predicted by the tracking *** experimental results and comparison reveal that our proposed vehicle detection and tracking system outperformed other state-of-the-art *** proposed implemented system provided 94.1%detection precision for Roundabout and 96.1%detection precision for Vehicle Aerial Imaging from Drone(VAID)datasets,respectively.

关键词： Semantic segmentation YOLOv5 vehicle detection and tracking Kalman filter SURF

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Multiplicity dependence of the freezeout parameters in high energy hadron-hadron collisions

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Chinese Physics C 2024年第5期48卷 124-133页

作者： Muhammad Ajaz Majid Shehzad Muhammad Waqas Haifa I.Alrebdi Mohammad Ayaz ahmad Antalov Jagnandan Shawn Jagnandan Murad Badshah Jalal Hasan Baker abdul Mosawir Quraishi Department of Physics Abdul Wali Khan University MardanMardan 23200Pakistan School of Mathematics Physics and Optoelectronic EngineeringHubei University of Automotive TechnologyShiyan 442002China Department of Physics College of SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Mathematics Physics and StatisticsFaculty of Natural SciencesUniversity of Guyana101110 GeorgetownGuyananSouth America Department of Physics Faculty of ScienceUniversity of TabukTabukKingdom of Saudi Arabia Department of Electrical Engineering College of EngineeringQassim UniversityUnaizahSaudi Arabia

We examined the transverse momentum(pT)spectra of various identified particles,encompassing both light-flavored and strange hadrons(π++π−,K++K−,p+p¯,ϕ,K0s,Λ+Λ¯,Ξ−+Ξ¯+,andΩ−+Ω¯+),across different multiplicity classes in proton-proton collisions(p-p)at a center-of-mass energy of s√=7 *** the Tsallis and Hagedorn models,parameters relevant to the bulk properties of nuclear matter were *** models exhibit good agreement with experimental *** our analyses,we observed a consistent decrease in the effective temperature(T)for the Tsallis model and the kinetic or thermal freeze-out temperature(T0)for the Hagedorn model,as we transitioned from higher multiplicity(class-I)to lower multiplicity(class-X).This trend is attributed to the diminished energy transfer in higher multiplicity ***,we observed that the transverse flow velocity(βT)experiences a decline from class-I to *** normalization constant,which represents the multiplicity of produced particles,was observed to decrease as we moved toward higher multiplicity *** the effective and kinetic freeze-out temperatures,as well as the transverse flow velocity,show a mild dependency on multiplicity for lighter particles,this dependency becomes more pronounced for heavier *** multiplicity parameter for heavier particles was observed to be smaller than that of lighter particles,indicating a greater abundance of lighter hadrons compared to heavier *** particle species were observed to undergo decoupling from the fireball at distinct temperatures:lighter particles exhibit lower temperatures,while heavier ones show higher temperatures,thereby supporting the concept of multiple freeze-out ***,we identified a positive correlation between the kinetic freeze-out temperature and transverse flow velocity,a scenario where particles experience stronger collective motion at a higher freeze-out *** reason for this positive correlation is th

关键词： multiplicity dependence collective properties thermal energy

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Malaysia-China Relations:Exemplary Model for ASEAN

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China Report ASEAN 2024年第6期9卷 48-51页

作者： Dato'abdul Majid ahmad Khan Malaysia-China Friendship Association

Five Decades(1974-2024)of Harmonious and Mutually Beneficial Partnership Fifty years ago in May 1974,the second Prime Minister of Malaysia,Tun abdul Razak,journeyed to Beijing,China,to start a new and strategic chapter in Malaysia-China *** was a visionary and courageous initiative by Malaysia that commenced resetting Malaysia's foreign policy towards non-alignment and building mutual trust with China.

关键词： Malaysia mutual policy

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