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| 1 | Hepatocellular Carcinoma and the Role of Liver Transplantation:A Review显示文摘Hepatocellular carcinoma(HCC)is one of the leading causes of cancer deaths worldwide and liver transplantation(LT)is the only potentially curative treatment.Over the years,Milan criteria has been used for patient selection.There is ongoing research in this field with introduction of new biomarkers for HCC that can help guide future treatment.Furthermore,newer therapies for downstaging of the tumor are being implemented to prevent dropout from the transplant list.In addition,combination therapies for better outcome are under investigation.Interestingly,the concept of living-donor LT and possible use of hepatitis C virus-positive donors has been implemented as an attempt to expand the organ pool.However,there is a conflict of opinion between different centers regarding its efficacy and data is scarce.The aim of this review article is to outline the various selection criteria for LT,discuss the outcomes of LT in HCC patients,and explore future directions of LT for HCC.Therefore,a comprehensive PubMed/MEDLINE review was conducted.To expand our search,references of the retrieved articles were also screened for additional data.After selecting the studies,the authors independently reviewed them to identify the relevant studies.After careful evaluation 120 studies relevant to out topic are cited in the manuscript.Three tables and two figures are also included.In conclusion LT for HCC has evolved over the years.With the introduction of several expanded criteria beyond Milan,the introduction of bridging therapies,such as transcatheter arterial chemoembolization and radiofrequency ablation,and the approval of newer systemic therapies,it is evident that there will be more LT recipients in the future.It is promising to see ongoing trials and the continuous evolution of protocols.Prospective studies are needed to guide the development of a pre-LT criteria that can ensure low HCC recurrence risk and is not overly stringent,clarify the role of LDLT,and determine the optimal bridging therapies to LT. | Haris Muhammad Aniqa Tehreem Peng-Sheng Ting Merve Gurakar Sean Young Li Cem Simsek Saleh A.Alqahtani Amy K.Kim Ruhail Kohli Ahmet Gurakar | 2021 | Journal of Clinical and Translational Hepatology2021，9，5： | 7 |
| 2 | Endoscopic resection of sporadic duodenal adenomas: comparison of endoscopic mucosal resection (EMR) with hybrid endoscopic submucosal dissection (ESD) techniques and the risks of late delayed bleeding显示文摘 | Peter John Basford Regi George Emma Nixon Tehreem Chaudhuri Rob Mead Pradeep Bhandari | 2014 | Surgical Endoscopy2014，，5： | 1 |
| 3 | Hepatitis D virus and liver transplantation: Indications and outcomes显示文摘Hepatitis D virus(HDV)is a dependent virus that relies on hepatitis B virus for its replication and transmission.Chronic hepatitis D is a severe form of viral hepatitis that can result in end stage liver disease.Currently,pegylated interferon alpha is the only approved therapy for chronic HDV infection and is associated with significant side effects.Liver transplantation(LT)is the only treatment option for patients with end-stage liver disease,hepatocellular carcinoma,or fulminant hepatitis due to coinfection with HDV.As LT for HDV and hepatitis B virus coinfection is uncommon in the United States,most data on the long-term impact of LT on HDV are from international centers.In this review,we discuss the indications and results of LT with treatment options in HDV patients. | Haris Muhammad Aniqa Tehreem Muhammad Baraa Hammami Peng-Sheng Ting Ramzan Idilman Ahmet Gurakar | 2021 | World Journal of Hepatology2021，13，3： | 0 |
| 4 | Fuzzy Based Hybrid Focus Value Estimation for Multi Focus Image Fusion显示文摘Due to limited depth-of-field of digital single-lens reflex cameras,the scene content within a limited distance from the imaging plane remains in focus while other objects closer to or further away from the point of focus appear as blurred(out-of-focus)in the image.Multi-Focus Image Fusion can be used to reconstruct a fully focused image from two or more partially focused images of the same scene.In this paper,a new Fuzzy Based Hybrid Focus Measure(FBHFM)for multi-focus image fusion has been proposed.Optimal block size is very critical step for multi-focus image fusion.Particle Swarm Optimization(PSO)algorithm has been used to find optimal size of the block of the images for extraction of focus measure features.After finding optimal blocks,three focus measures Sum of Modified Laplacian,Gray Level Variance and Contrast Visibility has been extracted and combined these focus measures by using intelligent fuzzy technique.Fuzzy based hybrid intelligent focus values were estimated using contrast visibility measure to generate focused image.Different sets of multi-focus images have been used in detailed experimentation and compared the results with state-of-the-art existing techniques such as Genetic Algorithm(GA),Principal Component Analysis(PCA),Laplacian Pyramid discrete wavelet transform(DWT),and aDWT for image fusion.It has been found that proposed method performs well as compare to existing methods. | Muhammad Ahmad M.Arfan Jaffar Fawad Nasim Tehreem Masood Sheeraz Akram | 2022 | Computers, Materials & Continua2022，，4： | 0 |
| 5 | Lung Cancer Detection Using Modified AlexNet Architecture and Support Vector Machine显示文摘Lung cancer is the most dangerous and death-causing disease indicated by the presence of pulmonary nodules in the lung.It is mostly caused by the instinctive growth of cells in the lung.Lung nodule detection has a significant role in detecting and screening lung cancer in Computed tomography(CT)scan images.Early detection plays an important role in the survival rate and treatment of lung cancer patients.Moreover,pulmonary nodule classification techniques based on the convolutional neural network can be used for the accurate and efficient detection of lung cancer.This work proposed an automatic nodule detection method in CT images based on modified AlexNet architecture and Support vector machine(SVM)algorithm namely LungNet-SVM.The proposed model consists of seven convolutional layers,three pooling layers,and two fully connected layers used to extract features.Support vector machine classifier is applied for the binary classification of nodules into benign andmalignant.The experimental analysis is performed by using the publicly available benchmark dataset Lung nodule analysis 2016(LUNA16).The proposed model has achieved 97.64%of accuracy,96.37%of sensitivity,and 99.08%of specificity.A comparative analysis has been carried out between the proposed LungNet-SVM model and existing stateof-the-art approaches for the classification of lung cancer.The experimental results indicate that the proposed LungNet-SVM model achieved remarkable performance on a LUNA16 dataset in terms of accuracy. | Iftikhar Naseer Tehreem Masood Sheeraz Akram Arfan Jaffar Muhammad Rashid Muhammad Amjad Iqbal | 2023 | Computers, Materials & Continua2023，，1： | 0 |
| 6 | Some new symmetric relations and prediction of left- and right-handed neutrino masses using Koide's relation显示文摘The masses of the three generations of charged leptons are known to completely satisfy Koide's mass relation,but the question remains of whether such a relation exists for neutrinos.In this paper,by considering the seesaw mechanism as the mechanism generating tiny neutrino masses,we show how neutrinos satisfy Koide's mass relation,on the basis of which we systematically give exact values of both left-and right-handed neutrino masses. | 黄永畅 Syeda Tehreem Iqbal 雷震 王雯宇 | 2017 | Chinese Physics C2017，41，4： | 0 |
| 7 | 印度市场,中企破局显示文摘不断增长的印度消费市场为寻求拓展全球业务的中国品牌提供了不可替代的机遇。印度拥有超过14亿日益富裕的人口,为投资提供了一个广阔而多样化的成熟市场。中国企业利用自身在制造、技术和创新方面的优势,迫切希望满足印度市场消费电子、汽车、电信和电子商务等行业日益增长的需求。 | Tehreem | 2023 | 国际品牌观察2023，，12： | 0 |
| 8 | Intelligent Decision Support System for COVID-19 Empowered with Deep Learning显示文摘The prompt spread of Coronavirus(COVID-19)subsequently adorns a big threat to the people around the globe.The evolving and the perpetually diagnosis of coronavirus has become a critical challenge for the healthcare sector.Drastically increase of COVID-19 has rendered the necessity to detect the people who are more likely to get infected.Lately,the testing kits for COVID-19 are not available to deal it with required proficiency,along with-it countries have been widely hit by the COVID-19 disruption.To keep in view the need of hour asks for an automatic diagnosis system for early detection of COVID-19.It would be a feather in the cap if the early diagnosis of COVID-19 could reveal that how it has been affecting the masses immensely.According to the apparent clinical research,it has unleashed that most of the COVID-19 cases are more likely to fall for a lung infection.The abrupt changes do require a solution so the technology is out there to pace up,Chest X-ray and Computer tomography(CT)scan images could significantly identify the preliminaries of COVID-19 like lungs infection.CT scan and X-ray images could flourish the cause of detecting at an early stage and it has proved to be helpful to radiologists and the medical practitioners.The unbearable circumstances compel us to flatten the curve of the sufferers so a need to develop is obvious,a quick and highly responsive automatic system based on Artificial Intelligence(AI)is always there to aid against the masses to be prone to COVID-19.The proposed Intelligent decision support system for COVID-19 empowered with deep learning(ID2S-COVID19-DL)study suggests Deep learning(DL)based Convolutional neural network(CNN)approaches for effective and accurate detection to the maximum extent it could be,detection of coronavirus is assisted by using X-ray and CT-scan images.The primary experimental results here have depicted the maximum accuracy for training and is around 98.11 percent and for validation it comes out to be approximately 95.5 percent while statistical parameters like sensitivity and specificity for training is 98.03 percent and 98.20 percent respectively,and for validation 94.38 percent and 97.06 percent respectively.The suggested Deep Learning-based CNN model unleashed here opts for a comparable performance with medical experts and it ishelpful to enhance the working productivity of radiologists. It could take the curvedown with the downright contribution of radiologists, rapid detection ofCOVID-19, and to overcome this current pandemic with the proven efficacy. | Shahan Yamin Siddiqui Sagheer Abbas Muhammad Adnan Khan Iftikhar Naseer Tehreem Masood Khalid Masood Khan Mohammed A.Al Ghamdi Sultan H.Almotiri | 2021 | Computers, Materials & Continua2021，，2： | 0 |
| 9 | Some new symmetric relations of quark masses andprediction of fourth-generation quark masses显示文摘In this study, we discover a mass space defined by generalized Koide relations, named here as k-relations, and achieve some new symmetric relations. These relations can be further used to predictthe fourth-generation quark masses in terms of dilation magnitude and angular rotation ratios inthe general mass space. Thus far, no theory has been proposed that can constrain the number ofgenerations of quarks; this theory naturally limits the number of generations of quarks. | Yong-Chang Huang Syeda Tehreem Iqbal Wen-Yu Wang | 2016 | Frontiers of physics2016，11，6： | 0 |
| 10 | Blockchain Based Enhanced ERP Transaction Integrity Architecture and PoET Consensus显示文摘Enterprise Resource Planning(ERP)software is extensively used for the management of business processes.ERP offers a system of integrated applications with a shared central database.Storing all business-critical information in a central place raises various issues such as data integrity assurance and a single point of failure,which makes the database vulnerable.This paper investigates database and Blockchain integration,where the Blockchain network works in synchronization with the database system,and offers a mechanism to validate the transactions and ensure data integrity.Limited research exists on Blockchain-based solutions for the single point of failure in ERP.We established in our study that for concurrent access control andmonitoring of ERP,private permissioned Blockchain using Proof of Elapsed Time consensus is more suitable.The study also investigated the bottleneck issue of transaction processing rates(TPR)of Blockchain consensus,specifically ERP’s TPR.The paper presents systemarchitecture that integrates Blockchain with an ERP system using an application interface. | Tehreem Aslam Ayesha Maqbool Maham Akhtar Alina Mirza Muhammad Anees Khan Wazir Zada Khan Shadab Alam | 2022 | Computers, Materials & Continua2022，，1： | 0 |
| 11 | New Discovery of Hipparion theobaldi Skull from the Late Miocene of Padhri,District Jhelum,Punjab,Pakistan and Associated Mammalian Fossil Assemblage显示文摘A fossil-bearing locality near Padhri village,Dhok Pathan,55 km away from the tehsil Dina,Jhelum District,in the Potwar Plateau,Middle Siwaliks,Punjab,northern Pakistan,is significantly rich in mammalian fossils.This site has provided an abundant mammalian fossil fauna of Late Miocene age from the Dhok Pathan Formation(Fm.).The recovered material belongs to four families:Equidae(horses),Rhinocerotidae(rhinos),Bovidae(cows),and Suidae(pigs).We discovered a new skull of hipparionine Hipparion theobaldi from this locality along with 22 specimens from the associated assemblage of fossil mammals.The recovered material includes seven other species:the aceratheriine Chilotherium intermedium,boselaphines Tragoportax punjabicus,Selenoportax vexillarius,Pachyportax latidens,the antelope Gazella lydekkeri and suinine Propotamochoerus hysudricus.The specimens are isolated teeth,fragments of maxilla,mandibles and horn cores.The Dhok Pathan Fm.is generally composed of claystone,siltstone and sandstone beds and,based on the mammalian fauna,the Padhri fossil locality is dated as Late Miocene.Thi99 s formation was deposited in a subtropical paleoenvironment and the predominance of fossil bovids indicates extremely moist conditions with small but frequent standing water bodies. | Khizar SAMIULLAH Omer DRAZ Riffat YASIN Bilal RASOOL Hafiz MUHAMMAD ISHAQ Muhammad HARIS AZIZ Rana MEHROZ FAZAL Shakila NAZ Tehreem RAZA Romesa NIAZI | 2022 | Acta Geologica Sinica(English Edition)2022，96，4： | 0 |
| 12 | Adult neurogenesis:a real hope or a delusion?显示文摘Adult neurogenesis,the process of creating new neurons,involves the coordinated division,migration,and differentiation of neural stem cells.This process is restricted to neurogenic niches located in two distinct areas of the brain:the subgranular zone of the dentate gyrus of the hippocampus and the subventricular zone of the lateral ventricle,where new neurons are generated and then migrate to the olfactory bulb.Neurogenesis has been thought to occur only during the embryonic and early postnatal stages and to decline with age due to a continuous depletion of neural stem cells.Interestingly,recent years have seen tremendous progress in our understanding of adult brain neurogenesis,bridging the knowledge gap between embryonic and adult neurogenesis.Here,we discuss the current status of adult brain neurogenesis in light of what we know about neural stem cells.In this notion,we talk about the importance of intra cellular signaling molecules in mobilizing endogenous neural stem cell prolife ration.Based on the current understanding,we can declare that these molecules play a role in targeting neurogenesis in the mature brain.However,to achieve this goal,we need to avoid the undesired proliferation of neural stem cells by controlling the necessary checkpoints,which can lead to tumorigenesis and prove to be a curse instead of a blessing or hope. | Ghulam Hussain Rabia Akram Haseeb Anwar Faiqa Sajid Tehreem Iman Hyung Soo Han Chand Raza Jose-Luis Gonzalez De Aguilar | 2024 | Neural Regeneration Research2024，19，1： | 0 |
| 13 | 崇明东滩湿地芦苇种群内功能性状及生态对策变异分析显示文摘植物种群功能性状及生态对策变异对其自身环境适应能力及群落结构具有重要影响。该文基于崇明东滩湿地芦苇(Phragmites australis)种群内3个小种群不同发育时期分株集合的多项性状指标,分析了其性状及生态对策变异,并基于CSR、LHS生态对策体系,对各小种群的生态对策进行了排序。结果表明,3个芦苇小种群的21项性状指标及C、R对策得分均存在显著差异。在LHS体系中,以比叶面积(11.5 mm^(2)/mg)、株高(175 cm)和花序干质量(4 g)为分界线,可对3个小种群进行区分。处于生殖生长期的芦苇分株具有更大的植株大小、更高的叶片干物质含量及S对策得分,而处于营养生长期的分株则具有较小的植株大小、较大的比叶面积及R对策得分。总体而言,崇明东滩湿地3个芦苇小种群间及各小种群内处于不同生长发育阶段的分株集合间,都存在显著的性状差异及生态对策差异,且二者的差异模式基本吻合。芦苇种内性状及生态对策变异特征,可为该区芦苇种群的生态保育和恢复实践提供重要的理论参考和技术支撑。 | 计阳晴 李德志 王虓 李羚菱 王莹 陈婧 Rasool Samreen GHULAM Tehreem RAFIQUE | 2023 | 热带亚热带植物学报2023，31，4： | 0 |
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