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| 1 | Leonurus sibiricus L.(honeyweed):A review of its phytochemistry and pharmacology显示文摘Leonurus sibiricus is a herbaceous plant found in many countries in Asia and America.This plant is widely practiced as a remedy for the treatment of diabetes,menstrual irregularities,and bronchitis.The approval of therapeutic implications of any drugs depends on the well characterized mode of actions of the compounds.The bioactive compounds like diterpenes,triterpenes,flavonoids and phenolic acids in Leonurus sibiricus show analgesic,anti-inflammatory,anti-oxidant,anti-atherogenic and antihemorrhagic,anti-diabetic,anti-bacterial and allelopathic potency.Interestingly,the expression level of some genes is altered by the crude extract treatments,which are effective against cancers,diabetes and cardiovascular diseases where the molecular mechanisms are yet to be explored.Intriguingly,the extracts significantly induce nitric oxide production by endothelial nitric oxide synthase,a signaling molecule of vasodilation in combination with interferon-y indicating positive effect on atherosclerosis.Further investigations are required to unlock the effects of bioactive compounds found in extracts at clinical settings. | Abu Sayed AshraM Alam Shariful Islam Taif Ali Emdad Ullah Abu Zaffar Shibly Aslam Ali Mahdi Hasan-Olive | 2016 | Asian Pacific Journal of Tropical Biomedicine2016，6，12： | 2 |
| 2 | Status and ethno-medicinal usage of invasive plants in traditional health care practices: a case study from northeastern Bangladesh显示文摘Species diversity and ethno-medicinal usage of 39 species of invasive plants were explored in and around two protected areas, Khadimnagar National Park (KNP) and Rema-Kalenga Wildlife Sanctu- ary (RKWS), of northeastern Bangladesh,. Status of invasive plants were investigated in 60 sample plots with 5 different habitat types, including forest, roadside, homestead, fallow land and others (ponds, canals, water logged areas, agricultural land, etc.). Data about the usage of invasive plants in traditional health care were collected through interviewing 110 households. Among the five habitat types, fallow land (28 species) pos- sessed the highest number of species, followed by roadside (25 species), forest (23 species), homestead (22 species) and others (13 species). Based on the survey, invasive plants of study areas were also categorized into five degrees of invasiveness e.g., naturalized, introduced, possibly invasive, moderately invasive and highly invasive. Additionally, there is the linear trend between degrees of invasiveness and use percentage of invasive plants. Total 39 species of invasive plants belonging to 29 fami- lies were recorded, which are generally used to treat 37 diseases, ranging from simple headache to highly complicated eye and heart diseases. The majority of the species used by the local inhabitants were herbs (16 spe- cies), followed by some shrubs (11 species), climbers (5 species), trees (5 species) and grasses (2 species). The use percentage of aboveground plant parts were higher (70.58%) than that of underground plant parts (16.18%). | Mohammed Abu Sayed Arfin Khan Fahmida Sultana Md. Habibur Rahman Bishwajit Roy Sawon Istiak Anik | 2011 | Journal of Forestry Research2011，22，4： | 2 |
| 3 | Seedling response of three agroforestry tree species to phosphorous fertilizer application in Bangladesh: growth and nodulation capabilities显示文摘三倍的超级磷酸盐, TSP 化肥,被使用@80 kg · h −1 作为来源在六个月磷在在孟加拉国的苗床的 Albizia chinensis, Albizia saman 和 Pongamia pinnta 的旧 polybag 幼苗。幼苗生长和生节上的 P 化肥的效果与在不同收获间隔在未受精的土壤或在控制种的幼苗的相比。学习揭示了那,幼苗生长用 P 化肥的申请显著地被提高。生长在 A 的情况下被发现更显著。saman 和 P。pinnata,而它不是在 A 的情况下的显著、显示出的沮丧的生长。chinensis。学习也建议除了在 P 的情况下,生节也与 P 授精显著地以小瘤数字和尺寸被增加。pinnata。 | Mohammad Belal Uddin Sharif Ahmed Mukull Mohammed Abu Sayed Arfin Khan Mohammed Kamal Hossain | 2009 | Journal of Forestry Research2009，20，1： | 2 |
| 4 | The role of platelets CD40 ligand(CD154)in acute coronary syndromes显示文摘 | Abu el-Makrem MA Mahmoud YZ Sayed D | 2009 | Thrombesis Research2009，124，6： | 1 |
| 5 | The role of platelets CD40 ligand(CD154)in acute coronary syndromes 显示文摘 | Abu el-Makrem MA Mahmoud YZ Sayed D | 2009 | Thromb Res2009，124，6： | 1 |
| 6 | The role of platelets CD 40 ligand(CD 154)in acute coronary syndromes显示文摘 | Abu el-Makrem MA Mahmoud YZ Sayed D | 2009 | Thromb Res2009，124，6： | 1 |
| 7 | 孟加拉无机肥料对几种农林作物生物固氮和种苗生长的影响(英文)显示文摘比较了不同浓度无机肥料(尿素和重过磷酸钙)对四种农林作物(楹树、雨豆树、相思树和印度田菁)生物固氮和种苗生长的影响。种子萌发一个月后利用不同浓度肥料(尿素:40kg·hm-2,80kg·hm-2;重过磷酸钙:40kg·hm-2,80kg·hm-2;(尿素+重过磷酸钙)40kg·hm-2和(尿素+重过磷酸钙)80kg·hm-2)处理种苗。结果表明:中等浓度无机肥料促进了种苗的生长,但较高浓度无机肥料也不利于种苗的生长。当施加尿素时根瘤菌的数量大小明显受抑制,但随着增加磷肥(重过磷酸钙)根瘤菌的数量大小增加。本研究有助于农业人员利用无机肥料改善土壤提高农林作物的生物固氮和种苗生长。图2表6参33。 | Mohammad Belal Uddin Mohammed Abu Sayed Arfin Khan Sharif Ahmed Mukul Mohammed Kamal Hossain | 2008 | Journal of Forestry Research2008，19，4： | 1 |
| 8 | The role of platelets CD40 ligand (CD154) in acute coronary syndromes显示文摘 | Abu el-Makrem M A Mahmoud Y Z Sayed D | | 0，，06： | 1 |
| 9 | Assessment of natural regeneration status and diversity of tree species in the biodiversity conservation areas of Northeastern Bangladesh显示文摘A study was conducted at two-biodiversity conservation areas of Northeastern Bangladesh (a part of Sylhet Forest Division) to assess the species composition, diversity and density of natural regeneration of tree species both indigenous and exotic species. Data were collected by stratified random quadrate method during January 2010 to July 2010. Totally 200 circular plots of 2 m×2 m in size had 5 different habitat types of plants namely; forest, roadside, homestead (surrounding forest dwellers house), fallow land and others (canals, streams and tea gardens side), which included a total of 55 regenerating species belonging to 28 families. Meliaceae is the dominant family and shows the highest family importance value (26.3), having six species, followed by Moraceae (24.24). Among the five habitat types, forest (43 species) possess the highest number of species, followed by roadside (23 species). Total 15 exotic species among 9 families and 40 indigenous species with 24 fami- lies were recorded. For exotic species, Tectona grandis possess the high- est relative density (11.7%) and relative frequency (10.5%); Senna sia- mea had highest relative abundance (7.83%). In case of indigenous spe- cies, Chickrassia tabularis possess the highest relative density (4.23%) and relative frequency (4%); Dipterocarpus turbinatus had the highest relative abundance (3.92%). Tectona grandis (29.66) and Chickrassia tabularis (10.8) had the highest IVI for exotic and indigenous species respectively. Different diversity indices such as Shanon-Winner diversity index, species diversity index, species richness index, species evenness index, Simpson index and species dominance index, etc. were applied to quantify definite diversity. The regeneration of species associated with low levels of disturbance was in the exotic species. Study suggests that proper protection from human disturbances and scientific management ofnatural regeneration of two-study forests may lead a rich biodiversity site in the country. | Md. Habibur Rahman Md. Abu Sayed Arfin Khan Bishwajit Roy Most. Jannatul Fardusi | 2011 | Journal of Forestry Research2011，22，4： | 1 |
| 10 | 磷肥对孟加拉几种常见的农林树种苗木生长和根瘤菌固氮作用的影响(英文)显示文摘本试验评价了磷肥对孟加拉3种常见的农林树种,耳叶相思(Acacia auriculiformis)、含羞草(Albizia lebbeck)和黄豆树(Albizia procera)的苗木生长和根瘤菌固氮作用的影响。在苗床种植6个月苗龄的耳叶相思、含羞草和黄豆树与对照相比较磷肥对苗木生长和根瘤菌固氮作用的影响。结果表明:磷肥明显提高种苗的生长。对耳叶相思的生长有明显的促进作用,但对含羞草的生长影响不明显,在某种程度上降低了黄豆树的生长。研究也表明,磷肥明显提高植物的根瘤菌的大小与数量。 | Mohammad Belal Uddin Sharif Ahmed Mukul Mohammed Abu Sayed Arfin Khan Mohammed Kamal Hossain | 2007 | Journal of Forestry Research2007，18，4： | 0 |
| 11 | Experimental Investigation on Saline Water Purification Using Reverse Osmosis by a Novus Biomimetic Membrane显示文摘A substantial amount of Earth’s water is inadequate for human consumption while local demand is outstripping traditional supplies in many world regions;thereby,brackish and seawater treatment has become a prerequisite.This investigation suggested a complete design of an RO-based desalination filter with a multilayer biomimetic membrane.The study demonstrated a comprehensive method for experimentally fabricating a proprietary biomaterial-based multilayer nano-porous membrane.This analysis revealed that Silk Nano-Fibril(SNF)and Hydroxyapatite(HAP)extracted from Bombyx Mori silkworm cocoons may be utilized to manufacture highly methodical multilayer membranes by incorporating protein-self-assembly and in-situ-bio-mineralization.Membrane’s aquaporin layer containing lipid-bilayers has rapid water permeability and high efficacy at eliminating salt ions and contaminants.The 4µm thick SNF/HAP membrane showed a considerable decrease in salinity,with a salt rejection of 93.33%.The proposed membrane had a saline water permeability of 6.58 LMH/bar,almost 61.09%higher than conventional TFC membranes.Hydrophobic barrier and spiral-wrapped filter architecture of the membrane enable low fouling and self-cleaning properties.The schematic filter design and biomimetic fabrication of the SNF/HAP membrane have formulated a conceptual framework that might direct to the broad-scale,low-cost RO water purification filters,increasing the efficiency of water desalination and boosting the effectiveness of water treatment technologies to reduce potable water scarcity. | Yasin Edmam Iman Nadim Ahmed Sayed Abul Monsur Anachh Kazi Abu Manjur | 2022 | Journal of Bionic Engineering2022，19，3： | 0 |
| 12 | Co-combustion of RDF and biomass mixture with bituminous coal:a case study of clinker production plant in Egypt显示文摘Cement clinker production in Egypt till 2013 relied mainly on fossil fuel as a primary energy source.However,with multiple fossil fuel shortages,the utilization of biomass wastes was initiated by multiple cement producers.In the current work,and to present an industrial-scale biomass and coal co-combustion study,the utilization of multiple biomass fuels to substitute a portion of bituminous coal was studied in an Egyptian clinker production plant.Mixtures of biomass fuels were used to reduce the consumption of bituminous coal and to investigate the diminishing of the environmental impact of the clinker production process.The current study was conducted during 8 days of the stable clinker production process by replacing 14%of bituminous coal with biomass mixtures while monitoring the major process control parameters and resulting emissions.Emission results were compared to the nation’s regulations.A conclusion can be made that using biomass mixtures as alternative fuels minimized the dependency on coal as the main fuel and reduced the CO_(2)burden of the cement produc-tion process.In addition,NO_(x)and SO_(2)emissions were declined while CO emissions were increased by utilizing biomass mixtures as alternative fuels;all emissions,however,were below the allowable limits stated by the Egyptian environmental authority.Noticeably,the heavy elements,dioxins,and furans were not changed significantly compared to those produced using coal only. | Osayed Sayed Mohamed Abu‑Elyazeed Mohamed Nofal Khalaf Ibrahim Junfeng Yang | 2021 | Waste Disposal and Sustainable Energy2021，3，4： | 0 |
| 13 | Improved Attentive Recurrent Network for Applied Linguistics-Based Offensive Speech Detection显示文摘Applied linguistics is one of the fields in the linguistics domain and deals with the practical applications of the language studies such as speech processing,language teaching,translation and speech therapy.The ever-growing Online Social Networks(OSNs)experience a vital issue to confront,i.e.,hate speech.Amongst the OSN-oriented security problems,the usage of offensive language is the most important threat that is prevalently found across the Internet.Based on the group targeted,the offensive language varies in terms of adult content,hate speech,racism,cyberbullying,abuse,trolling and profanity.Amongst these,hate speech is the most intimidating form of using offensive language in which the targeted groups or individuals are intimidated with the intent of creating harm,social chaos or violence.Machine Learning(ML)techniques have recently been applied to recognize hate speech-related content.The current research article introduces a Grasshopper Optimization with an Attentive Recurrent Network for Offensive Speech Detection(GOARN-OSD)model for social media.The GOARNOSD technique integrates the concepts of DL and metaheuristic algorithms for detecting hate speech.In the presented GOARN-OSD technique,the primary stage involves the data pre-processing and word embedding processes.Then,this study utilizes the Attentive Recurrent Network(ARN)model for hate speech recognition and classification.At last,the Grasshopper Optimization Algorithm(GOA)is exploited as a hyperparameter optimizer to boost the performance of the hate speech recognition process.To depict the promising performance of the proposed GOARN-OSD method,a widespread experimental analysis was conducted.The comparison study outcomes demonstrate the superior performance of the proposed GOARN-OSD model over other state-of-the-art approaches. | Manar Ahmed Hamza Hala J.Alshahrani Khaled Tarmissi Ayman Yafoz Amira Sayed A.Aziz Mohammad Mahzari Abu Sarwar Zamani Ishfaq Yaseen | 2023 | Computer Systems Science & Engineering2023，47，11： | 0 |
| 14 | Metaheuristics Enabled Clustering with Routing Scheme for Wireless Sensor Networks显示文摘Wireless Sensor Network(WSN)is a vital element in Internet of Things(IoT)as the former enables the collection of huge quantities of data in energy-constrained environment.WSN offers independent access to the target region and performs data collection in an effective manner.But energy constraints remain a challenging issue in WSN since it operates on in-built battery.The studies conducted earlier recommended that the energy spent on communication processmust be considerably reduced to improve the efficiency of WSN.Cluster organization and optimal selection of the routes are considered as NP hard optimization problems which can be resolved with the help of metaheuristic algorithms.Clustering and routing are considered as effective approaches in enhancing the energy effectiveness and lifespan of WSN.In this background,the current study develops an Improved Duck and Traveller Optimization(IDTO)-enabled cluster-based Multi-Hop Routing(IDTOMHR)technique for WSN.Primarily,IDTO algorithm is exploited for the selection of Cluster Head(CH)and construction of clusters.Besides,Artificial Gorilla Troops Optimization(ATGO)technique is also used to derive an optimal set of routes to the destination.Both clustering and routing approaches derive a fitness function with the inclusion of multiple input parameters.The proposed IDTOMHR model was experimentally validated for its performance under different aspects.The extensive experimental results confirmed the better performance of IDTOMHR model over other recent approaches. | Mashael M.Asiri Saud S.Alotaibi Dalia H.Elkamchouchi Amira Sayed A.Aziz Manar Ahmed Hamza Abdelwahed Motwakel Abu Sarwar Zamani Ishfaq Yaseen | 2022 | Computers, Materials & Continua2022，，12： | 0 |
| 15 | Convolutional Deep Belief Network Based Short Text Classification on Arabic Corpus显示文摘With a population of 440 million,Arabic language users form the rapidly growing language group on the web in terms of the number of Internet users.11 million monthly Twitter users were active and posted nearly 27.4 million tweets every day.In order to develop a classification system for the Arabic lan-guage there comes a need of understanding the syntactic framework of the words thereby manipulating and representing the words for making their classification effective.In this view,this article introduces a Dolphin Swarm Optimization with Convolutional Deep Belief Network for Short Text Classification(DSOCDBN-STC)model on Arabic Corpus.The presented DSOCDBN-STC model majorly aims to classify Arabic short text in social media.The presented DSOCDBN-STC model encompasses preprocessing and word2vec word embedding at the preliminary stage.Besides,the DSOCDBN-STC model involves CDBN based classification model for Arabic short text.At last,the DSO technique can be exploited for optimal modification of the hyperparameters related to the CDBN method.To establish the enhanced performance of the DSOCDBN-STC model,a wide range of simulations have been performed.The simulation results con-firmed the supremacy of the DSOCDBN-STC model over existing models with improved accuracy of 99.26%. | Abdelwahed Motwakel Badriyya B.Al-onazi Jaber S.Alzahrani Radwa Marzouk Amira Sayed A.Aziz Abu Sarwar Zamani Ishfaq Yaseen Amgad Atta Abdelmageed1 | 2023 | Computer Systems Science & Engineering2023，45，6： | 0 |
| 16 | Intelligent Slime Mould Optimization with Deep Learning Enabled Traffic Prediction in Smart Cities显示文摘Intelligent Transportation System(ITS)is one of the revolutionary technologies in smart cities that helps in reducing traffic congestion and enhancing traffic quality.With the help of big data and communication technologies,ITS offers real-time investigation and highly-effective traffic management.Traffic Flow Prediction(TFP)is a vital element in smart city management and is used to forecast the upcoming traffic conditions on transportation network based on past data.Neural Network(NN)and Machine Learning(ML)models are widely utilized in resolving real-time issues since these methods are capable of dealing with adaptive data over a period of time.Deep Learning(DL)is a kind of ML technique which yields effective performance on data classification and prediction tasks.With this motivation,the current study introduces a novel Slime Mould Optimization(SMO)model with Bidirectional Gated Recurrent Unit(BiGRU)model for Traffic Prediction(SMOBGRU-TP)in smart cities.Initially,data preprocessing is performed to normalize the input data in the range of[0,1]using minmax normalization approach.Besides,BiGRUmodel is employed for effective forecasting of traffic in smart cities.Moreover,the novelty of the work lies in using SMO algorithm to effectively adjust the hyperparameters of BiGRU method.The proposed SMOBGRU-TP model was experimentally validated and the simulation results established the model’s superior performance in terms of prediction compared to existing techniques. | Manar Ahmed Hamza Hadeel Alsolai Jaber S.Alzahrani Mohammad Alamgeer Mohamed Mahmoud Sayed Abu Sarwar Zamani Ishfaq Yaseen Abdelwahed Motwakel | 2022 | Computers, Materials & Continua2022，，12： | 0 |
| 17 | Hybrid Metaheuristics Feature Selection with Stacked Deep Learning-Enabled Cyber-Attack Detection Model显示文摘Due to exponential increase in smart resource limited devices and high speed communication technologies,Internet of Things(IoT)have received significant attention in different application areas.However,IoT environment is highly susceptible to cyber-attacks because of memory,processing,and communication restrictions.Since traditional models are not adequate for accomplishing security in the IoT environment,the recent developments of deep learning(DL)models find beneficial.This study introduces novel hybrid metaheuristics feature selection with stacked deep learning enabled cyber-attack detection(HMFS-SDLCAD)model.The major intention of the HMFS-SDLCAD model is to recognize the occurrence of cyberattacks in the IoT environment.At the preliminary stage,data pre-processing is carried out to transform the input data into useful format.In addition,salp swarm optimization based on particle swarm optimization(SSOPSO)algorithm is used for feature selection process.Besides,stacked bidirectional gated recurrent unit(SBiGRU)model is utilized for the identification and classification of cyberattacks.Finally,whale optimization algorithm(WOA)is employed for optimal hyperparameter optimization process.The experimental analysis of the HMFS-SDLCAD model is validated using benchmark dataset and the results are assessed under several aspects.The simulation outcomes pointed out the improvements of the HMFS-SDLCAD model over recent approaches. | Mashael M Asiri Heba G.Mohamed Mohamed K Nour Mesfer Al Duhayyim Amira Sayed A.Aziz Abdelwahed Motwakel Abu Sarwar Zamani Mohamed I.Eldesouki | 2023 | Computer Systems Science & Engineering2023，45，5： | 0 |
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