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Lymphomatoid Granulomatosis with Splenomegaly and Pancytopenia

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中国肺癌杂志 2010年第1期13卷 84-86页

作者： Abolhasan HALVANI Mohammad Bagher OWLIA Ramin SAMI Department of Internal Medicine Shaheed Sadoughi hospital Shaheed Sadoughi University of Medical Sciencesj Safaeieh Yazd Iran shaheed Sadoughi Hospital Shaheed Sadoughi University of Medical Sciences Safaeieh Yazd Iran shaheed beheshty university Tehran Iran

Lymphomatoid granulomatosis (LG) is an angiocentric lymphoproliferative disease. It usually involves lung, skin, and central nervous system, but splenomegaly and pancytopenia are the rare manifestations of the disease. We report a 15-year-old boy presented with fever, dry cough and dyspnea from two months ago, after admission patient had nodular lesions on the left leg and hepatosplenomegaly. Then he manifested neurologic signs such as seizure, aphasia and right-sided hemiplegia. Chest X-ray and CT scan revealed bilateral pulmonary nodules predominantly in lower lobes and peripheral lung fields. Laboratory exams showed pancytopenia. Skin biopsy was done, and histopathological examination and immunohistochemistry evaluation confirmed lymphomatoid granulomatosis. He was treated with steroid and cyclophosphamide but succumbed by neurologic involvement.

关键词：淋巴瘤肉芽肿病全血细胞减少症临床分析

Deep Learning-Based Cancer Detection-Recent Developments,Trend and Challenges

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Computer Modeling in Engineering & Sciences 2022年第3期130卷 1271-1307页

作者： Gulshan Kumar Hamed Alqahtani shaheed Bhagat Singh State university FerozepurIndia King Khalid university AbhaSaudi Arabia

Cancer is one of the most critical diseases that has caused several deaths in today’s *** most cases,doctors and practitioners are only able to diagnose cancer in its later *** the later stages,planning cancer treatment and increasing the patient’s survival rate becomes a very challenging ***,it becomes the need of the hour to detect cancer in the early stages for appropriate treatment and surgery *** and interpretation of medical images such as MRI and CT scans help doctors and practitioners diagnose many diseases,including cancer ***,manual interpretation of medical images is costly,time-consuming and ***,deep learning,a subset of artificial intelligence,is gaining increasing attention from practitioners in automatically analysing and interpreting medical images without their *** learning methods have reported extraordinary results in different fields due to their ability to automatically extract intrinsic features from images without any dependence on manually extracted *** study provides a comprehensive review of deep learning methods in cancer detection and diagnosis,mainly focusing on breast cancer,brain cancer,skin cancer,and prostate *** study describes various deep learningmodels and steps for applying deep learningmodels in detecting *** developments in cancer detection based on deep learning methods have been critically analysed and summarised to identify critical challenges in applying them for detecting cancer accurately in the early *** on the identified challenges,we provide a few promising future research directions for fellow researchers in the *** outcome of this study provides many clues for developing practical and accurate cancer detection systems for its early diagnosis and treatment planning.

关键词： Autoencoders(AEs) cancer detection convolutional neural networks(CNNs) deep learning generative adversarial models(GANs) machine learning

Buoyancy Effects in the Peristaltic Flow of a Prandtl-Eyring Nanofluid with Slip Boundaries

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Fluid Dynamics & Materials Processing 2023年第6期19卷 1507-1519页

作者： Hina Zahir Department of Mathematics Shaheed Benazir Bhutto Women UniversityPeshawar25000Pakistan

The interaction of nanoparticles with a peristaltic flow is analyzed considering a Prandtl-Eyring fluid under various conditions,such as the presence of a heat source/sink and slip effects in channels with a *** problem has extensive background links with various fields in medical science such as chemotherapy and more in general nanotechnology.A similarity transformation is used to turn the original balance equations into a set of ordinary differential equations,which are then integrated *** investigation reveals that nanofluids have valuable thermal capabilitises.

关键词： Curved channel Prandtl-Eyring nanofluid slip conditions flexible walls heat source or sink mixed convection

Saponins and solvent extracts from Atriplex laciniata L. exhibited high anthelmintic and insecticidal activities

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Journal of Traditional Chinese Medicine 2017年第5期37卷 599-606页

作者： Zul Kamal Farhat Ullah Sajjad Ahmad Muhammad Ayaz Abdul Sadiq Muhammad Imran Shujat Ahmad Faiz Ur Rahman Anwar Zeb Department of Pharmacy Shaheed Benazir Bhutto University Sheringal Dir Upper 18050Pakistan Department of Pharmacy University of Malakand Chakdara Dir Lower 18000 Pakistan Department of Zoology Shaheed Benazir Bhutto University Sheringal Dir Upper 18050 Pakistan

OBJECTIVE: To investigate saponins and various solvent extracts from Atriplex laciniata(A. laciniata)against human parasites and various ***: The samples from A. laciniata used in the activities were crude saponins(*** F) and solvent samples including methanolic extract(*** F), ethyl acetate(*** F), choloroform(*** F),n-hexane(*** F) and water residual(*** F). Anthelmintic potentials of the samples were analyzed against Pheretima posthuma(earthworms) and Ascaridia galli(round worms) using contact toxicity method. Insecticidal activities were performed against Heterotermes indicola(termite), Monomorium pharaonis(pharaoh ant), Tribolium castaneum(flour beetle) and Rhyzopertha dominica(grain borer) using standard ***: In anthelmintic assay, *** F and *** F were most effective against P. posthuma and A. gal-li with average death times of 25.62 and 29.65 min respectively. Likewise the anthelmintic assay, *** F and *** F were most effective against H. indicola causing 90.36% and 73.24% lethality respectively. Furthermore, in anti-Pharaoh activity *** F, *** F, *** F, *** F and *** F exhibited highest activity with LD50 of 78, 220, 260, 330 and > 800 mg/m L respectively. *** F and *** F were highly effective against R. dominica causing 80.11% and71.30% lethality respectively. *** F was found most active against T. ***: Our findings suggest that the *** F, *** F and *** F extracted from *** *** be the best options for the isolation of anthelmintic and bio-insecticidal compounds.

关键词： Saponins Atriplex Parasites Hetero termes indicola Monomorium pharaonis Rhyzopertha dominica Tribolium castaneum

Pattern of Drug Poisoning resulting in low Level of Consciousness in Iranian Adults

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Pattern of Drug Poisoning resulting in low Level of Consciou...

Machine Learning Techniques for Intrusion Detection Systems in SDN-Recent Advances,Challenges and Future Directions

第八届亚太医学毒理学大会暨全国中毒控制与救治论坛（2009）

作者： Babak Mostafazadeh Abbas Aghabiklooei Ali Khoshkar Department of Forensic Medicine & Clinical Toxicology Shaheed Beheshty University of Medical SciencesTehranIran Department of Forensic Medicine & Clinical Toxicology Iran University of medical sciencesTehranIran Department of Surgery Shaheed Beheshty University of Medical SciencesTehranIran

Introduction: Despite existence of standard protocols for management of patients with drug poisoning resulting in low level of consciousness,because of various prevalence drugs in different countries and also synthesis of new drugs,it seems that correction of these protocols according to drug use pattern in each country and time course is *** aim are assessment of characteristics of patients with drug poisoning resulting in decrease level of consciousness.

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Computer Modeling in Engineering & Sciences 2023年第1期134卷 89-119页

作者： Gulshan Kumar Hamed Alqahtani shaheed Bhagat Singh State university Firozpur152024India King Khalid university Abha61421Saudi Arabia

Software-Defined Networking(SDN)enables flexibility in developing security tools that can effectively and efficiently analyze and detect malicious network traffic for detecting *** Machine Learning(ML)techniques have attracted lots of attention from researchers and industry for developing intrusion detection systems(IDSs)considering logically centralized control and global view of the network provided by *** IDSs have developed using advances in machine learning and deep *** study presents a comprehensive review of recent work ofML-based IDS in context to *** presents a comprehensive study of the existing review papers in the *** is followed by introducing intrusion detection,ML techniques and their ***,we present a systematic study of recent works,discuss ongoing research challenges for effective implementation of ML-based intrusion detection in SDN,and promising future works in this field.

关键词： Controller intrusion detection intrusion detection system OpenFlow security software defined networking traffic analysis

Graphene oxide based carbon composite as adsorbent for Hg removal:Preparation, characterization, kinetics and isotherm studies

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Chinese Journal of Chemical Engineering 2017年第9期25卷 1170-1175页

作者： Tayebeh Esfandiyari Navid Nasirizadeh Mohammad Dehghani Mohammad Hassan Ehrampoosh Department of Environmental Health Engineering Shaheed Sadoughi University of Medical Sciences Young Researchers and Elite Club Yazd Branch Islamic Azad University

The presence of Hg in the aqueous media is known to cause severe health issues in both humans and *** technologies and especially adsorbents have been applied for its removal. In this study, a graphene oxide–carbon composite(GO–CC) as a new adsorbent was prepared by sol gel procedure and characterized using field emission scanning electron microscopy, BET and EDX. The effects of different variables including solution p H, contact time, adsorbent dose and GO ratio in adsorbent matrix on the removal capacity of Hg were studied. The isotherm data correlated well with the Langmuir isotherm model. Further analysis recommended that the Hg^(2+) adsorption process is governed by the intra-particle and external mass transfer, in which the film diffusion was the rate restrictive step. The presented composite has maximum absorption capacity, q_(max) of 68.8 mg·g^(-1), which is comparable with carbon based adsorbent reported in the previous publications.

关键词： Adsorbent Mercury removal Sol gel Carbon composite

Marjolin's ulcers in the post-burned lesions and scars

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World Journal of Clinical Cases 2014年第10期2卷 507-514页

作者： Muhammad Saaiq Bushra Ashraf Pakistan Institute of Medical Sciences Shaheed Zulfiqar Ali Bhutto Medical University

Marjolin's ulcer(MU) represents malignant degeneration that typically ensues over a period of time in the post-burned lesions and scars or any other chronic wound. This review highlights various facets of the presentation and management of MUs that originate from post-burned lesions. The incidence of MUs in such lesions is reported to be 0.77%-2%. This malignancy characteristically develops in the areas of full thickness skin burns that had been allowed for weeks to months to heal spontaneously by secondary intention, or burn wounds which never healed completely over years and the unstable post-burned scars. In the majority of cases, the MU is a squamous cell carcinoma(SCC). The MUs contribute to an overall 2% of all SCCs and 0.03% of all basal cell carcinomas of the skin. Clinically MUs present in two major morphologic forms. The commoner form is the flat, indurated, ulcerative variety while the less common form is the exophytic papillary variety. Lower limbs represent the most frequently affected body parts. Surgical resection of the primary tumor with 2-4 cm horizontal clearance margin, nodal clearance and radiotherapy constitute the cornerstones of effective oncologic management. Despite best efforts, the overall mortality is reported to be 21%.

关键词： Marjolin’s ulcer Malignant degeneration Post-burned scars and wounds Sentinel lymph node dissection Squamous cell carcinoma Full thickness skin burns Healing by secondary intention

Decision Support System for Diagnosis of Irregular Fovea

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Computers, Materials & Continua 2022年第6期71卷 5343-5353页

作者： Ghulam Ali Mallah Jamil Ahmed Muhammad Irshad Nazeer Mazhar Ali Dootio Hidayatullah Shaikh Aadil Jameel Shah Abdul Latif university Khairpur77150Pakistan Sukkur IBA university Sukkur7720Pakistan shaheed Benazir university Layari Karachi77202Pakistan

Detection of abnormalities in human eye is one of the wellestablished research areas of Machine *** Learning techniques are widely used for the diagnosis of RetinalDiseases(RD).Fovea is one of the significant parts of retina which would be prevented before the involvement of Perforated Blood Vessels(PBV).Retinopathy Images(RI)contains sufficient information to classify structural changes incurred upon PBV but Macular Features(MF)and Fovea Features(FF)are very difficult to detect because features ofMFand FF could be found with Similar Color Movements(SCM)with minor *** paper presents novel method for the diagnosis of Irregular Fovea(IF)to assist the doctors in diagnosis of irregular *** considering all above problems this paper proposes a three-layer decision support system to explore the hindsight knowledge of RI and to solve the classification problem of *** first layer involves data preparation,the second layer builds the decision model to extract the hidden patterns of fundus images by using Deep Belief Neural Network(DBN)and the third layer visualizes the results by using confusion *** paper contributes a data preparation algorithm for irregular fovea and a highest estimated classification accuracy measured about 96.90%.

关键词： Machine learning deep belief neural network eye disease fovea