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Anti-obesity effect and UHPLC-QTOF-MS/MS based metabolite profiling of Solanum nigrum leaf extract

Asian Pacific Journal of Tropical Biomedicine 2022年第4期12卷 164-174页

作者： Zain Ul Aabideen Muhammad Waseem Mumtaz Muhammad Tayyab Akhtar Muhammad Asam Raza Hamid Mukhtar Ahmad Irfan Syed Ali Raza Muhammad Nadeem yee soon ling Department of Chemistry University of GujratGujratPakistan Institute of Industrial Biotechnology GC University LahoreLahorePakistan Department of Chemistry College of ScienceKing Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Research Center for Advanced Materials Science King Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Department of Chemistry GC University LahoreLahorePakistan Sabah Occupational Safety Health and Environment AssociationLot331st FloorBlock EIramanis CenterJalanLinatas88450Kota KinabaluSabahMalaysia

Objective:To evaluate the antioxidant potential and pancreatic lipase inhibitory action of optimized hydroethanolic extracts of Solanum ***:Optimized extraction for maximum recovery of metabolites was performed using a combination of freeze-drying and ultrasonication followed by determination of antioxidant and antiobesity *** ultra-high performance liquid chromatography equipped with mass spectrometry was used to analyze metabolite profiling of Solanum *** studies were performed using molecular docking and electrostatic potential analysis for individual *** hypolipidemic potential of the most potent extract was assessed in the obese mice fed on fat rich ***:The 80%hydroethanolic extract exhibited the highest extract yield,total phenolic contents,total flavonoid contents along with the strongest 2,2-diphenyl-1-picrylhydrazyl scavenging activity,total antioxidant power,and pancreatic lipase inhibitory *** 80%hydroethanolic extract not only regulated the lipid profile of obese mice but also restricted the weight gain in the liver,kidney,and *** 80%hydroethanolic extract also reduced alanine transaminase and aspartate transaminase concentrations in *** effects of plant extract at 300 mg/kg body weight were quite comparable with the standard drug ***:Solanum nigrum is proved as an excellent and potent source of secondary metabolites that might be responsible for obesity mitigation.

关键词： Solanum nigrum Ultrasonication Metabolite profiling Total phenolic contents Total flavonoid content Antioxidant DPPH Total antioxidant power Pancreatic lipase UHPLC-QTOF-MS/MS Antiobesity Mice Hypolipidemic Molecular docking

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Graphical password： prevent shoulder-surfing attack using digraph substitution rules

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Frontiers of Computer Science 2017年第6期11卷 1098-1108页

作者： Lip yee POR Chin soon KU Amanul ISLAM Tan Fong ANG Department of Computer Science and Information Technology University of Malaya Kuala Lumpur 50603 Malaysia Department of Computer Science Universiti Tunku Abdul Rahman (Jalan Universiti) Kampar 31900 Malaysia

In this paper, a new scheme that uses digraph substitution rules to conceal the mechanism or activity re- quired to derive password-images is proposed. In the pro- posed method, a user is only required to click on one of the pass-image instead of both pass-images shown in each chal- lenge set for three consecutive sets. While this activity is sim- ple enough to reduce login time, the images clicked appear to be random and can only be obtained with complete knowl- edge of the registered password along with the activity rules. Thus, it becomes impossible for shoulder-surfing attackers to obtain the information about which password images and pass-images are used by the user. Although the attackers may know about the digraph substitution rules used in the pro- posed method, the scenario information used in each chal- lenge set remains. User study results reveal an average login process of less than half a minute. In addition, the proposed method is resistant to shoulder-surfing attacks.

关键词： graphical password authentication shoulder-surfing data and computer security digraph substitution rules

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Sustainable green technology on wastewater treatment:The evaluation of enhanced single chambered up-flow membrane-less microbial fuel cell

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Journal of Environmental Sciences 2018年第4期30卷 295-300页

作者： Wei-Eng Thung soon-An Ong Li-Ngee Ho yee-Shian Wong Fahmi Ridwan Yoong-ling Oon Yoong-Sin Oon Harvinder Kaur Lehl Water Research Group (WAREG) School of Environmental Engineering Universiti Malaysia Perlis School of Materials Engineering Universiti Malaysia Perlis

This study demonstrated the potential of single chamber up-flow membrane-less microbial fuel cell（UFML-MFC） in wastewater treatment and power generation. The purpose of this study was to evaluate and enhance the performance under different operational conditions which affect the chemical oxygen demand（COD） reduction and power generation,including the increase of KCl concentration（MFC1） and COD concentration（MFC2）. The results showed that the increase of KCl concentration is an important factor in up-flow membrane-less MFC to enhance the ease of electron transfer from anode to cathode. The increase of COD concentration in MFC2 could led to the drop of voltage output due to the prompt of biofilm growth in MFC2 cathode which could increase the internal resistance. It also showed that the COD concentration is a vital issue in up-flow membrane-less *** the COD reduction was up to 96%, the power output remained constrained.

关键词： MFC Up-flow Membrane-less KCl concentration COD Ionic strength Biocathode Biofilm

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Automatic analysis of deep-water remotely operated vehicle footage for estimation of Norway lobster abundance

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Frontiers of Information Technology & Electronic Engineering 2018年第8期19卷 1042-1055页

作者： Ching soon TAN Phooi yee LAU Paulo L.CORREIA Aida CAMPOS Centre for Computing and Intelligent Systems Universiti Tunku Abdul RahmanKampar 31900Malaysia lnstituto de Telecomunicaqoes Instituto Superior TecnicoAv.Rovisco Pais1Lisbon 1049-001Portugal Instituto Portugues do Mar e da Atmosfera(IPMA) Divisao de Modelacao e Gestao de Recursos da PescaLisbon 1749-077Portugal Centro de Ciencias do Mar(CCMAR)-Campus de Gambelas Faro 8005-139Portugal

Underwater imaging is being used increasingly by marine biologists as a means to assess the abundance of marine resources and their biodiversity. Previously, we developed the first automatic approach for estimating the abundance of Norway lobsters and counting their burrows in video sequences captured using a monochrome camera mounted on trawling gear. In this paper, an alternative framework is proposed and tested using deep-water video sequences acquired via a remotely operated vehicle. The proposed framework consists of four modules:(1) preprocessing,(2) object detection and classification,(3) object-tracking, and(4) quantification. Encouraging results were obtained from available test videos for the automatic video-based abundance estimation in comparison with manual counts by human experts(ground truth). For the available test set, the proposed system achieved 100%precision and recall for lobster counting, and around 83% precision and recall for burrow detection.

关键词： Object detection Object tracking Feature extraction Remotely operated vehicle(ROV)

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Effect of pH on the photocatalytic removal of silver ions byβ-MnO2 particles

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International Journal of Minerals,Metallurgy and Materials 2021年第2期28卷 325-334页

作者： Sin-ling Chiam Anh Thi Le Swee-Yong Pung Fei-yee Yeoh School of Materials and Mineral Resources Engineering Engineering CampusUniversiti Sains Malaysia14300 Nibong TebalPulau PinangMalaysia

The presence of silver ions(Ag(I))in wastewater has a detrimental effect on living *** of soluble silver,especially at low concentrations,is *** paper presents the use ofβ-MnO2 particles as a photocatalyst to remove Ag(I)ions selectively from aqueous solution at various pH *** coupled plasma mass spectrometry(ICP-MS),X-ray diffraction(XRD),field emission electron microscope(FESEM),transmission electron microscopy(TEM),and X-ray photoelectron microscopy(XPS)were employed to determine the removal efficiency and to characterize the deposition of silver onto the surface ofβ-MnO2 *** optimum pH for the removal of Ag(I)ions was at pH 4 with 99%removal efficiency under 1 h of visible light *** phenomenon can be attributed to the electrostatic attraction betweenβ-MnO2 particles and Ag(I)ions as well as the suppression of electron–hole recombination in the presence of H+ions.

关键词： manganese oxide(MnO2) silver metal ion removal photocatalyst

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Short-term traffic forecasting model: prevailing trendsand guidelines

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Transportation Safety and Environment 2023年第3期5卷 1-19页

作者： Kian Lun soon Robin Kuok Cheong Chan Joanne Mun-yee Lim Rajendran Parthiban School of Engineering Monash UniversityMalaysiaBandar Sunday 47500Malaysia

The design parameters serve as an integral part of developing a robust short-term traffc forecasting model These parameters include scope determination,input data preparation,output parameters and modelling *** paper takes a further leap to analyse the recent trend of design parameters through a systematic literature review based on peer-reviewed articles up to *** key important findings are summarized along with the challenges of performning short-term traffic ***,this paper offers insights into the next wave of research that contributes significantly to industries.

关键词： design parameters transport and society short term forecasting systematic literature review

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Performance of the hybrid growth sequencing batch reactor(HG-SBR) for biodegradation of phenol under various toxicity conditions

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Journal of Environmental Sciences 2019年第1期31卷 64-72页

作者： NikAthirah Yusoff soon-An Ong Li-Ngee Ho yee-Shian Wong Farah Naemah Mohd Saad WanFadhilah Khalik Sin-Li Lee School of Environmental Engineering University Malaysia Perlis School of Materials Engineering University Malaysia Perlis

Hybrid growth microorganisms in sequencing batch reactors have proven effective for treating the toxic compound phenol, but the toxicity effect under different toxicity conditions has rarely been discussed. Therefore, the performance of the HG-SBR under toxic, acute and chronic organic loading can provide the overall operating conditions of the system. Toxic organic loading(TOL) was monitored during the first 7 hr while introducing50 mg/L phenol to the system. The system was adversely affected with the sudden introduction of phenol to the virgin activated sludge, which caused a low degradation rate and high dissolved oxygen consumption during TOL. Acute organic loading(AOL) had significant effects at high phenol concentrations(600, 800 1000 mg/L). The specific oxygen uptake rate(SOUR) gradually decreased to 4.9 mg O_2/(g MLVSS·hr) at 1000 mg/L of phenol compared to 12.74 mg O_2/(g MLVSS·hr) for 200 mg/L of phenol. The HG-SBR was further monitored during chronic organic loading(COL) over 67 days. The effects of organic loading were more apparent at 800 mg/L and 1000 mg/L phenol concentrations, as the removal range was between 22%–30% and 18%–46% respectively, which indicated the severe effects of COL.

关键词： Toxic organic loading Acute organic loading Chronic organic loading Phenol Sequencing batch reactor

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Proposal for valleytronic materials:Ferrovalley metal and valley gapless semiconductor

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Frontiers of physics 2024年第2期19卷 131-139页

作者： San-Dong Guo Yu-ling Tao Guangzhao Wang Shaobo Chen Dong Huang yee Sin Ang School of Electronic Engineering Xi’an University of Posts and TelecommunicationsXi’an 710121China Key Laboratory of Extraordinary Bond Engineering and Advanced Materials Technology of Chongqing School of Electronic Information EngineeringYangtze Normal UniversityChongqing 408100China College of Electronic and Information Engineering Anshun UniversityAnshun 561000China Science Mathematics and Technology(SMT)Singapore University of Technology and Design(SUTD)8 Somapah RoadSingapore 487372Singapore

Valleytronic materials can provide new degrees of freedom to future electronic *** this work,the concepts of the ferrovalley metal(FVM)and valley gapless semiconductor(VGS)are proposed,which can be achieved in valleytronic bilayer systems by electric field *** valleytronic bilayer systems,the interaction between out-of-plane ferroelectricity and A-type antiferromagnetism can induce layer-polarized anomalous valley Hall(LP-AVH)*** K and−K valleys of FVM are both metallic,and electron and hole carriers simultaneously *** the extreme case,the FVM can become VGS by analogizing spin gapless semiconductor(SGS).Moreover,it is proposed that the valley splitting enhancement and valley polarization reversal can be achieved by electric field engineering in valleytronic bilayer *** the bilayer RuBr_(2)as an example,our proposal is confirmed by the first-principle *** FVM and VGS can be achieved in bilayer RuBr_(2)by applying electric *** appropriate electric field range,increasing electric field can enhance valley splitting,and the valley polarization can be reversed by flipping electric field *** effectively tune valley properties by electric field in bilayer systems,the parent monolayer should possess out-of-plane magnetization,and have large valley *** results shed light on the possible role of electric field in tuning valleytronic bilayer systems,and provide a way to design the ferrovalley-related material by electric field.

关键词： valleytronics electric field bilayer

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Phenol photocatalytic degradation over mesoporous TUD-1-supported chromium oxide-doped titania photocatalyst

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Chinese Journal of Catalysis 2016年第11期37卷 1871-1881页

作者： yee Khai Ooi Leny Yuliati Siew ling Lee 马来西亚工艺大学理学院化学系马来西亚新山81310 马来西亚工艺大学科学与工业研究所可持续纳米材料中心马来西亚新山81310

Mesoporous Technische Universiteit Delft（TUD-1）-supported chromium oxide-doped titania（Cr-TiO2） was developed as a promising photocatalyst for phenol photodegradation under visible light ***-angle X-ray diffraction and Fourier transform infrared spectroscopy results confirmed the amorphous and mesoporous silicate framework of TUD-1 in TUD-1-supported *** mesostructure of TUD-1 was further verified via N2 adsorption-desorption analysis,which showed a type-IV isotherm with a narrow average pore size distribution of 3.9 nm and high surface area of 490 m^2/*** electron microscopy analysis results indicated that TUD-1-supported Cr-TiO2 contained nanoparticles and porous *** increase in band gap energy was observed after loading Cr-TiO2 into *** with that of unsupported Cr-TiO2,TUD-1-supported Cr-TiO2 showed higher photocatalytic activity for phenol degradation under visible light *** TUD-1 supported Cr-TiO2 photocatalyst with a Si/Ti molar ratio of 30 exhibited the highest photodegradation of phenol（82%） of the prepared *** photodegradation of phenol by the supported catalyst followed the Langmuir adsorption isotherm with first-order kinetics.

关键词： Phenol TUD-1 Titania Photocatalyst Mesoporous

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Deep Learning-Based Trees Disease Recognition and Classification Using Hyperspectral Data

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Computers, Materials & Continua 2023年第10期77卷 681-697页

作者： Uzair Aslam Bhatti Sibghat Ullah Bazai Shumaila Hussain Shariqa Fakhar Chin soon Ku Shah Marjan Por Lip yee Liu Jing College of Information and Communication Engineering Hainan UniversityHaikou570228China Department of Computer Engineering Balochistan University of Information TechnologyEngineeringand Management Sciences(BUITEMS)QuettaPakistan Department of Computer Science Sardar Bahadur Khan Women’s UniversityQuettaPakistan Department of Computer Science Universiti Tunku Abdul RahmanKampar31900Malaysia Department of Software Engineering Balochistan University of Information TechnologyEngineeringand Management Sciences(BUITEMS)QuettaPakistan Faculty of Computer Science and Information Technology University of MalayaKuala Lumpur50603Malaysia

Crop diseases have a significant impact on plant growth and can lead to reduced *** methods of disease detection rely on the expertise of plant protection experts,which can be subjective and dependent on individual experience and *** address this,the use of digital image recognition technology and deep learning algorithms has emerged as a promising approach for automating plant disease *** this paper,we propose a novel approach that utilizes a convolutional neural network(CNN)model in conjunction with Inception v3 to identify plant leaf *** research focuses on developing a mobile application that leverages this mechanism to identify diseases in plants and provide recommendations for overcoming specific *** models were trained using a dataset consisting of 80,848 images representing 21 different plant leaves categorized into 60 distinct *** rigorous training and evaluation,the proposed system achieved an impressive accuracy rate of 99%.This mobile application serves as a convenient and valuable advisory tool,providing early detection and guidance in real agricultural *** significance of this research lies in its potential to revolutionize plant disease detection and management *** automating the identification process through deep learning algorithms,the proposed system eliminates the subjective nature of expert-based diagnosis and reduces dependence on individual *** integration of mobile technology further enhances accessibility and enables farmers and agricultural practitioners to swiftly and accurately identify diseases in their crops.

关键词： Plant disease Inception v3 CNN crop diseases

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