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| 1 | New insights into pancreatic cancer stem cells显示文摘Pancreatic cancer(PC) has been one of the deadliest of all cancers, with almost uniform lethality despite aggressive treatment. Recently, there have been important advances in the molecular, pathological and biological understandingof pancreatic cancer. Even after the emergence of recent new targeted agents and the use of multiple therapeutic combinations, no treatment option is viable in patients with advanced cancer. Developing novel strategies to target progression of PC is of intense interest. A small population of pancreatic cancer stem cells(CSCs) has been found to be resistant to chemotherapy and radiation therapy. CSCs are believed to be responsible for tumor initiation, progression and metastasis. The CSC research has recently achieved much progress in a variety of solid tumors, including pancreatic cancer to some extent. This leads to focus on understanding the role of pancreatic CSCs. The focus on CSCs may offer new targets for prevention and treatment of this deadly cancer. We review the most salient developments in important areas of pancreatic CSCs. Here, we provide a review of current updates and new insights on the role of CSCs in pancreatic tumor progression with special emphasis on Dcl K1 and Lgr5, signaling pathways altered by CSCs, and the role of CSCs in prevention and treatment of PC. | Chinthalapally V Rao Altaf Mohammed | 2015 | World Journal of Stem Cells2015，7，3： | 6 |
| 2 | Naringenin Protects HaCaT Human Keratinocytes Against UVB-induced Apoptosis and Enhances the Removal of Cyclobutane Pyrimidine Dimers from the Genome[dagger]显示文摘 | El-Mahdy Mohamed A Zhu Qianzheng Wang Qi-En Wani Gulzar Patnaik Srinivas Zhao Qun Arafa El-Shaimaa Barakat Bassant Mir Safita N Wani Altaf A | 2008 | Photochemistry and Photobiology2008，，2： | 2 |
| 3 | The role of neutral rosin-alum size in the production of permanent paper显示文摘 | Basta Altaf H El-Saied Houssni Mohamed Samar H | 2006 | Restaurator2006，27，2： | 1 |
| 4 | Stable relocation of the radial head without annular liga-‘ ment reconstruction using the Ilizarov technique to treat neg-lected Monteggia fracture : two case reports 显示文摘 | Altaf A Kawoosa Sliabir A Dhar Mohammed Farooq Butt etal | 2010 | J Med CaseReports2010，10，4： | 1 |
| 5 | Management of lower limb fractures in polytrauma patients with delayed referral in a mass disaster显示文摘 | Shabir Ahmed Dhar Mohammed Farooq Butt Anwar Hussain Mohammed Ramzan Mir Manzoor Ahmed Halwai Altaf Ahmed Kawoosa | 2008 | Injury2008，，8： | 1 |
| 6 | Design of Evolutionary Algorithm Based Unequal Clustering for Energy Aware Wireless Sensor Networks显示文摘Wireless Sensor Networks(WSN)play a vital role in several real-time applications ranging from military to civilian.Despite the benefits of WSN,energy efficiency becomes a major part of the challenging issue in WSN,which necessitate proper load balancing amongst the clusters and serves a wider monitoring region.The clustering technique for WSN has several benefits:lower delay,higher energy efficiency,and collision avoidance.But clustering protocol has several challenges.In a large-scale network,cluster-based protocols mainly adapt multi-hop routing to save energy,leading to hot spot problems.A hot spot problem becomes a problem where a cluster node nearer to the base station(BS)tends to drain the energy much quicker than other nodes because of the need to implement more transmission.This article introduces a Jumping Spider Optimization Based Unequal Clustering Protocol for Mitigating Hotspot Problems(JSOUCP-MHP)in WSN.The JSO algorithm is stimulated by the characteristics of spiders naturally and mathematically modelled the hunting mechanism such as search,persecution,and jumping skills to attack prey.The presented JSOUCPMHP technique mainly resolves the hot spot issue for maximizing the network lifespan.The JSOUCP-MHP technique elects a proper set of cluster heads(CHs)using average residual energy(RE)to attain this.In addition,the JSOUCP-MHP technique determines the cluster sizes based on two measures,i.e.,RE and distance to BS(DBS),showing the novelty of the work.The proposed JSOUCP-MHP technique is examined under several experiments to ensure its supremacy.The comparison study shows the significance of the JSOUCPMHP technique over other models. | Mohammed Altaf Ahmed T.Satyanarayana Murthy Fayadh Alenezi E.Laxmi Lydia Seifedine Kadry Yena Kim Yunyoung Nam | 2023 | Computer Systems Science & Engineering2023，47，10： | 0 |
| 7 | History,epidemiology,vaccine and transmission of coronavirus disease 2019 (COVID-19):a quick review显示文摘Coronavirus belonging to family Coronaviridae is a large group of viruses causing respiratory and gastrointestinal diseases.The outbreak of 2019-novel coronavirus has created panic in the whole world after being transmitted from Wuhan,China in December 2019.A large number of people are affected throughout the world that forced a solitary situation in the affected areas confining common people to their homes to prevent its spread.Cellular receptors in humans for 2019-novel coronavirus are found to be same as for severe acute respiratory syndrome coronavirus,the first human pandemic of 21st century,however,2019-novel coronavirus is highly contagious,virulent and mutable than the severe acute respiratory syndrome coronavirus.The most attractive site for vaccine development against 2019-novel coronavirus is the spike glycoprotein which is crucial for receptor binding,membrane fusion via conformational changes,virus internalization,and host tissue tropism or spike inactivation through antibody induced destabilization.First outbreak was in December 2019,later on at the end of 2020,the mortality ratio decreased that created a sigh of temporary relief in the globe.Summer season was considered as one of the sources combating infection and preventing spread of virus.However,for the last few months,suddenly a huge outrage of new variants of coronavirus disease 2019 are capturing attention of the entire population of earth endangering lives of people irrespective of their ages and communities.Researchers must focus on the inventions and discoveries of either preventive or therapeutic medicines that precisely target the spike proteins that enable the severe acute respiratory syndrome coronavirus-2’s entry into a host cell.In this article,we have highlighted various vaccines being approved for emergency use by Federal Investigating Agency to combat the disastrous effects of pandemic on humanity.Mutated variants have created an alarming situation for the health care workers,researchers and scientists to consider the possible mutants and their threat to humanity in the coming years.Further,we have tried to create awareness for developing a global internet community to promote a barrier-free connectivity among all corners of the world to facilitate humanity in case of a category 5 coronavirus disease-hurricane,a term used by researchers for future threats of pandemic. | Rabia Altaf Asra Iftikhar Rabia Haq Bushra Zahoor Muhammad Zaini Asmawi Mohamed Khadeer Ahamed Basheer | 2021 | Life Research2021，4，3： | 0 |
| 8 | Blockchain Assisted Intrusion Detection System Using Differential Flower Pollination Model显示文摘Cyberattacks are developing gradually sophisticated,requiring effective intrusion detection systems(IDSs)for monitoring computer resources and creating reports on anomalous or suspicious actions.With the popularity of Internet of Things(IoT)technology,the security of IoT networks is developing a vital problem.Because of the huge number and varied kinds of IoT devices,it can be challenging task for protecting the IoT framework utilizing a typical IDS.The typical IDSs have their restrictions once executed to IoT networks because of resource constraints and complexity.Therefore,this paper presents a new Blockchain Assisted Intrusion Detection System using Differential Flower Pollination with Deep Learning(BAIDS-DFPDL)model in IoT Environment.The presented BAIDS-DFPDLmodelmainly focuses on the identification and classification of intrusions in the IoT environment.To accomplish this,the presented BAIDS-DFPDL model follows blockchain(BC)technology for effective and secure data transmission among the agents.Besides,the presented BAIDSDFPDLmodel designs Differential Flower Pollination based feature selection(DFPFS)technique to elect features.Finally,sailfish optimization(SFO)with Restricted Boltzmann Machine(RBM)model is applied for effectual recognition of intrusions.The simulation results on benchmark dataset exhibit the enhanced performance of the BAIDS-DFPDL model over other models on the recognition of intrusions. | Mohammed Altaf Ahmed Sara A Althubiti Dronamraju Nageswara Rao ELaxmi Lydia Woong Cho Gyanendra Prasad Joshi Sung Won Kim | 2022 | Computers, Materials & Continua2022，，12： | 0 |
| 9 | Arithmetic Optimization with Ensemble Deep Transfer Learning Based Melanoma Classification显示文摘Melanoma is a skin disease with high mortality rate while earlydiagnoses of the disease can increase the survival chances of patients. Itis challenging to automatically diagnose melanoma from dermoscopic skinsamples. Computer-Aided Diagnostic (CAD) tool saves time and effort indiagnosing melanoma compared to existing medical approaches. In this background,there is a need exists to design an automated classification modelfor melanoma that can utilize deep and rich feature datasets of an imagefor disease classification. The current study develops an Intelligent ArithmeticOptimization with Ensemble Deep Transfer Learning Based MelanomaClassification (IAOEDTT-MC) model. The proposed IAOEDTT-MC modelfocuses on identification and classification of melanoma from dermoscopicimages. To accomplish this, IAOEDTT-MC model applies image preprocessingat the initial stage in which Gabor Filtering (GF) technique is utilized.In addition, U-Net segmentation approach is employed to segment the lesionregions in dermoscopic images. Besides, an ensemble of DL models includingResNet50 and ElasticNet models is applied in this study. Moreover, AOalgorithm with Gated Recurrent Unit (GRU) method is utilized for identificationand classification of melanoma. The proposed IAOEDTT-MC methodwas experimentally validated with the help of benchmark datasets and theproposed model attained maximum accuracy of 92.09% on ISIC 2017 dataset. | K.Kalyani Sara A Althubiti Mohammed Altaf Ahmed ELaxmi Lydia Seifedine Kadry Neunggyu Han Yunyoung Nam | 2023 | Computers, Materials & Continua2023，，4： | 0 |
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