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| 1 | HIV/AIDS risk behaviors and correlates of injection drug use among drug users in Pakistan显示文摘 | Mohammad Abrar Ahmed Tariq Zafar Heena Brahmbhatt Ghazanfar Imam Salman ul Hassan Joseph C. Bareta Steffanie A. Strathdee | 2003 | Journal of Urban Health2003，，2： | 1 |
| 2 | Smart MobiNet:A Deep Learning Approach for Accurate Skin Cancer Diagnosis显示文摘The early detection of skin cancer,particularly melanoma,presents a substantial risk to human health.This study aims to examine the necessity of implementing efficient early detection systems through the utilization of deep learning techniques.Nevertheless,the existing methods exhibit certain constraints in terms of accessibility,diagnostic precision,data availability,and scalability.To address these obstacles,we put out a lightweight model known as Smart MobiNet,which is derived from MobileNet and incorporates additional distinctive attributes.The model utilizes a multi-scale feature extraction methodology by using various convolutional layers.The ISIC 2019 dataset,sourced from the International Skin Imaging Collaboration,is employed in this study.Traditional data augmentation approaches are implemented to address the issue of model overfitting.In this study,we conduct experiments to evaluate and compare the performance of three different models,namely CNN,MobileNet,and Smart MobiNet,in the task of skin cancer detection.The findings of our study indicate that the proposed model outperforms other architectures,achieving an accuracy of 0.89.Furthermore,the model exhibits balanced precision,sensitivity,and F1 scores,all measuring at 0.90.This model serves as a vital instrument that assists clinicians efficiently and precisely detecting skin cancer. | Muhammad Suleman Faizan Ullah Ghadah Aldehim Dilawar Shah Mohammad Abrar Asma Irshad Sarra Ayouni | 2023 | Computers, Materials & Continua2023，77，12： | 0 |
| 3 | Seaweed farming for food and nutritional security,climate change mitigation and adaptation,and women empowerment:A review显示文摘Seaweed is a promising marine macroalgae of the millennium,providing various ecological,social,and economic benefits.At present,seaweed production reached 35.8 million t from farming,accounting for 97%of global seaweed output,with a world market of US$11.8 billion.Seaweeds are an excellent source of nutritious human food because of their low lipid content,high minerals,fibers,polyunsaturated fatty acids,polysaccharides,vitamins,and bioactive compounds.Many seaweed sub-products offer unique properties to develop various functional foods for the food processing industries.In the perspective of climate change mitigation,seaweed farms absorb carbon,serve as a CO_(2)sink and reduce agricultural emissions by providing raw materials for biofuel production and livestock feed.Seaweed farming system also helps in climate change adaptation by absorbing wave energy,safeguarding shorelines,raising the pH of the surrounding water,and oxygenating the waters to minimize the impacts of ocean acidification and hypoxia on a localized scale.Moreover,it contributes substantially to the sustainable development of the economic condition of coastal women by providing livelihood opportunities and ensuring financial solvency.This review paper highlights the significance of seaweed farming in global food and nutritional security,mitigation and adaptation to global climate change,and women empowerment within a single frame.This review paper also outlined the major issues and challenges of seaweed farming for obtaining maximum benefits in these aspects.The main challenges of making seaweed as a staple diet to millions of people include producing suitable species of seaweeds,making seaweed products accessible,affordable,nutritionally balanced,and attractive to the consumers.Various food products must be developed from seaweeds that may be considered equivalent to the foods consumed by humans today.Lack of effective marine spatial planning to avoid user conflicts is vital for expanding the seaweed farming systems to provide aquatic foods and contribute globally for mitigation and adaptation of climate change impacts.Hence,women’s empowerment through seaweed farming is primarily constrained by the lack of technical knowledge and financial resources to establish the coastal farming system.All the information discussed in this paper will help to understand the critical needs for large-scale seaweed farming for climate resilience mariculture,potentials for global food security,and future research on various aspects of seaweed farming and their diverse utilization. | Fahmida Sultana Md Abdul Wahab Md Nahiduzzaman Md Mohiuddin Mohammad Zafar Iqbal Abrar Shakil Abdullah-Al Mamun Md Sadequr Rahman Khan LiLian Wong Md Asaduzzaman | 2023 | Aquaculture and Fisheries2023，8，5： | 0 |
| 4 | Blockchain-based COVID vaccination registration and monitoring显示文摘COVID-19 has changed almost all aspects of our lives.Governments around the world have imposed lockdowns to slow down the transmissions.Fortunately,we have found the vaccine,in fact,a good number of them.However,managing the testing and vaccination process of the total population is a mammoth job.However,there are always delays or data silo problems in multi-organizational work.Therefore,streamlining this process is vital to improve efficiency and save more lives.Because of its effective data sharing mechanism among different entities with a number of security features,blockchain can be an effective tool for different applications in the health sector.Furthermore,blockchain provides a distributed system along with greater privacy,transparency,and authenticity.In this article,we have presented a blockchain-based system that seamlessly integrates testing and vaccination systems,allowing the system to be transparent.The instant verification of any tamper-proof COVID-19 test result has been developed,which will serve as“Test Certificates”.A transparent and efficient vaccination system has also been exhibited and implemented as the“Digital Vaccine Passport”(DVP)system.The infection rate-based prioritization will ensure a transparent and fair vaccination process as well as tackle the distribution issue of the limited amount of vaccine.The comparative review with other existing works is also discussed,highlighting a clear difference from the existing works.Our proposed system is distinctive on the basis of prioritization of vaccines and seamless integration of test certificates and vaccine passports,which will aid in controlling the pandemic situation.This system will also be handy in the case of tackling any future pandemics initially. | Shirajus Salekin Nabil Md Sabbir Alam Pran Ali Abrar Al Haque Narayan Ranjan Chakraborty Mohammad Jabed Morshed Chowdhury Md Sadek Ferdous | 2022 | Blockchain(Research and Applications)2022，3，4： | 0 |
| 5 | Multifaceted Strategies Used by Root-Knot Nematodes to Parasitize Plants-A Review显示文摘Root-knot nematodes being omnipresent in agricultural and horticultural soils are tallied among the most important economic pathogens around the world.For successful parasitism,these nematodes use various strategies to control and manipulate the host plant’s cell machinery.These strategies include the mole-cular mimicry of some host genes by some nematode secreted effector proteins,secretion of cell wall digesting enzymes and other effector proteins that are responsible for the suppression of defence by the host plant.All these secretions which are released through the stylet,contribute to the formation of specialized feeding sites or giant cells.The effector proteins interfere with the normal physiology,cytology and biochemistry of the host plant.The present review brings novel insights by summarizing some novel effectors that have been discovered recently like MgPDI,MiMIF,MiIDL1,MiISE6,Mg16820,etc.It also discusses some novel mechanisms through which these effector proteins target different pathways of host plants and thus facilitate nematode parasitism. | Adnan Shakeel Abrar Ahmad Khan Mohammad Haris | 2020 | Phyton-International Journal of Experimental Botany2020，89，2： | 0 |
| 6 | Nanotechnology-Based Advancements in Postharvest Management of Horticultural Crops显示文摘Horticulture is a branch of Agricultural science where it is defined as the science and art of cultivating and handling fruits,vegetables,ornamental plants and several plants having unique medicinal and aromatic values.Horticultural crops provide farmers with high income and have good export quality,but they have a concern about postharvest losses.Hence,increasing productivity and decreasing post-harvest losses by using scientific studies and techniques like biotechnology and nanotechnology could be the simplest possible solution to the above-mentioned problems.Using nanotechnology which is having the characteristics of nanoparticles is proven to be very useful in science and technological applications.Nanotechnology-based formulations increase the product quality and the shelf life of horticultural products and provide multiple ways of inhibiting the growth and development of microorganisms.It is precisely a new edible packaging coverage(film)that controls the exchange of gases and prevents damage from harmful rays such as ultraviolet radiation to a greater extent.Increasing strength by using nano biosensors for labeling products is considered a fundamental process to automated control of storage products.Postharvest rotting of vegetables is recognized to be an oxidative reaction and microbial deterioration as well.This review will address all such nanotechnology-based advancements for minimizing post-harvest losses of horticultural crops and enhancing the socio-economical progress of growers in particular. | Tarun Kumar Upadhyay V.S.Varun Kumar Amit Baran Sharangi Vijay J.Upadhye Fahad Khan Pratibha Pandey Mohammad Amjad Kamal Abrar Yasin Baba Khalid Rehman Hakeem | 2022 | Phyton-International Journal of Experimental Botany2022，91，3： | 0 |
| 7 | A Convolutional Neural Network Model for Wheat Crop Disease Prediction显示文摘Wheat is the most important cereal crop,and its low production incurs import pressure on the economy.It fulfills a significant portion of the daily energy requirements of the human body.The wheat disease is one of the major factors that result in low production and negatively affects the national economy.Thus,timely detection of wheat diseases is necessary for improving production.The CNN-based architectures showed tremendous achievement in the image-based classification and prediction of crop diseases.However,these models are computationally expensive and need a large amount of training data.In this research,a light weighted modified CNN architecture is proposed that uses eight layers particularly,three convolutional layers,three SoftMax layers,and two flattened layers,to detect wheat diseases effectively.The high-resolution images were collected from the fields in Azad Kashmir(Pakistan)and manually annotated by three human experts.The convolutional layers use 16,32,and 64 filters.Every filter uses a 3×3 kernel size.The strides for all convolutional layers are set to 1.In this research,three different variants of datasets are used.These variants S1-70%:15%:15%,S2-75%:15%:10%,and S3-80%:10%:10%(train:validation:test)are used to evaluate the performance of the proposed model.The extensive experiments revealed that the S3 performed better than S1 and S2 datasets with 93%accuracy.The experiment also concludes that a more extensive training set with high-resolution images can detect wheat diseases more accurately. | Mahmood Ashraf Mohammad Abrar Nauman Qadeer Abdulrahman A.Alshdadi Thabit Sabbah Muhammad Attique Khan | 2023 | Computers, Materials & Continua2023，，5： | 0 |
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