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| 1 | 持续高温胁迫环境下内生菌产生植物激素和有机酸促进粳稻生长的研究(英文)显示文摘目的:研究在高温胁迫环境下内生菌(Paecilomyces formosus LWL1)对粳稻生长的影响。创新点:首次探讨P.formosus LWL1产生的植物激素和有机酸在缓解粳稻热应激方面的作用。方法:比较正常和高温胁迫两种环境下,P.formosus LWL1对Dongjin粳稻植株的生长状况及内源性脱落酸、茉莉酸和总蛋白水平变化的作用。结论:内生菌在正常和高温胁迫条件下均能显著提高植物生长情况,包括株高、鲜重、干重和叶绿素含量。内生菌组的植株具有更低的内源性胁迫信号化合物水平及提升的总蛋白量,表明其具有保护粳稻的作用。这种内生菌可能有利于作物在高温环境下生长的耐受性。 | Muhammad WAQAS Abdul Latif KHAN Raheem SHAHZAD Ihsan ULLAH Abdur Rahim KHAN In-Jung LEE | 2015 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2015，16，12： | 5 |
| 2 | Gastrointestinal sarcoidosis associated with pneumatosis cystoides intestinalis显示文摘A 39-year-old male reported fevers,weight loss,watery loose stools,and decreased visual acuity in his right eye over the prior five years.He was pancytopenic,had an elevated American council on exercise level,total bilirubin,and alkaline phosphatase.Computed tomography revealed massive hepatosplenomegaly and emphysematous lung changes.Liver biopsy showed non caseating granulomas.The patient was diagnosed with extrapulmonary sarcoidosis and was treated with prednisone.The patient symptomatically improved but 5 mo later presented with abdominal pain caused by perforation of the cecum.He underwent a cecectomy and pathology revealed pneumatosis cystoides intestinalis.This represents the first reported association between pneumatosis cystoides intestinalis and sarcoidosis.The etiology of pneumatosis cystoides intestinalis in this case was likely multifactorial and involved both effects of the corticosteroids as well as the advanced nature of the gastrointestinal sarcoidosis.Furthermore this case has the unique features of emphysematous lung changes and pancytopenia which are uncommon with sarcoidosis. | Hussein Rahim Mubashir Khan Jay Hudgins Kevin Lee Lei Du Louis Amorosa | 2013 | World Journal of Gastroenterology2013，19，7： | 3 |
| 3 | DNNBoT: Deep Neural Network-Based Botnet Detection and Classification显示文摘The evolution and expansion of IoT devices reduced human efforts,increased resource utilization, and saved time;however, IoT devices createsignificant challenges such as lack of security and privacy, making them morevulnerable to IoT-based botnet attacks. There is a need to develop efficientand faster models which can work in real-time with efficiency and stability. The present investigation developed two novels, Deep Neural Network(DNN) models, DNNBoT1 and DNNBoT2, to detect and classify well-knownIoT botnet attacks such as Mirai and BASHLITE from nine compromisedindustrial-grade IoT devices. The utilization of PCA was made to featureextraction and improve effectual and accurate Botnet classification in IoTenvironments. The models were designed based on rigorous hyperparameterstuning with GridsearchCV. Early stopping was utilized to avoid the effects ofoverfitting and underfitting for both DNN models. The in-depth assessmentand evaluation of the developed models demonstrated that accuracy andefficiency are some of the best-performed models. The novelty of the presentinvestigation, with developed models, bridge the gaps by using a real datasetwith high accuracy and a significantly lower false alarm rate. The results wereevaluated based on earlier studies and deemed efficient at detecting botnetattacks using the real dataset. | Mohd Anul Haq Mohd Abdul Rahim Khan | 2022 | Computers, Materials & Continua2022，，4： | 2 |
| 4 | Development of bis-thiobarbiturates as successful urease inhibitors and their molecular modeling studies显示文摘Bis-thiobarbiturate derivatives 1–15 have been synthesized, characterized by1 HNMR and EI-MS and screened for urease inhibition. All compounds showed various degree of urease inhibitory activity with IC_(50) values ranging 7.45 0.12 74.24 0.81 mmol/L while the standard thiourea behaved normally(IC_(50) = 21.10 0.12). Compounds 1(IC_(50) = 7.45 0.12 μmol/L), 9(IC_(50) = 18.17 1.03 μmol/L) and 13(IC_(50) = 8.61 0.45 μmol/L) showed excellent urease inhibitory activity in the series. Molecular modeling studies were performed to understand the binding site with the bimetallic nickel center of the enzyme.Structure-activity relationship has also been established for these compounds. This study identified bisthiobarbiturate as a novel class of urease inhibitors. | Fazal Rahim Muhammad Ali Shifa Ullah Umer Rashid Hayat Ullah Muhammad Taha Muhammad Tariq Javed Wajid Rehman Aftab Ahmad Khan Obaid Ur Rahman Abid Muhammad Bilal | 2016 | Chinese Chemical Letters2016，27，5： | 2 |
| 5 | 临床检查可预测下肢周围动脉疾病?显示文摘Context: Lower extremity peripheral arterial disease(PAD) is common and associated with significant increases in morbidity and mortality. Physicians typically depend on the clinical examination to identify patients who need further diagnostic testing. Objective: To systematically review the accuracy and precision of the clinical examination for PAD. Data Sources, Study Selection, and Data Extraction: MEDLINE(January 1966 to March 2005) and Cochrane databases were searched for articles on the diagnosis of PAD based on physical examination published in the English language. Included studies compared an element of the history or physical examination with a reference standard of ankle- brachial index, duplex sonography, or angiogram. Seventeen of the 51 potential articles identified met inclusion criteria. Two of the authors independently extracted data, performed quality review, and used consensus to resolve any discrepancies. Data Synthesis: For asymptomatic patients, the most useful clinical findings to diagnose PAD are the presence of claudication(likelihood ratio [LR], 3.30; 95% confidence interval [CI], 2.30- 4.80), femoral bruit(LR, 4.80; 95% CI, 2.40- 9.50), or any pulse abnormality(LR, 3.10; 95% CI, 1.40- 6.60). While none of the clinical examination features help to lower the likelihood of any degree of PAD, the absence of claudication or the presence of normal pulses decreases the likelihood of moderate to severe disease. When considering patients who are symptomatic with leg complaints, the most useful clinical findings are the presence of cool skin(LR, 5.90; 95% CI, 4.10- 8.60), the presence of at least 1 bruit(LR, 5.60; 95% CI, 4.70- 6.70), or any palpable pulse abnormality(LR, 4.70; 95% CI, 2.20- 9.90). The absence of any bruits(iliac, femoral, or popliteal)(LR, 0.39; 95% CI, 0.34- 0.45) or pulse abnormality(LR, 0.38; 95% CI, 0.23- 0.64) reduces the likelihood of PAD. Combinations of physical examination findings do not increase the likelihood of PAD beyond that of individual clinical findings. However, when combinations of clinical findings are all normal, the likelihood of disease is lower than when individual symptoms or signs are normal. A PAD scoring system, which includes auscultation of arterial components by handheld Doppler, provides greater diagnostic accuracy. Conclusions: Clinical examination findings must be used in the context of the pretest probability because they are not independently sufficient to include or exclude a diagnosis of PAD with certainty. The PAD screening score using the hand- held Doppler has the greatest diagnostic accuracy. | Khan N.A. Rahim S.A. Anand S.S. 任付先 | 2006 | 世界核心医学期刊文摘(心脏病学分册)2006，2，6： | 2 |
| 6 | A Review and Analysis of Localization Techniques in Underwater Wireless Sensor Networks显示文摘In recent years,there has been a rapid growth in Underwater Wireless Sensor Networks(UWSNs).The focus of research in this area is now on solving the problems associated with large-scale UWSN.One of the major issues in such a network is the localization of underwater nodes.Localization is required for tracking objects and detecting the target.It is also considered tagging of data where sensed contents are not found of any use without localization.This is useless for application until the position of sensed content is confirmed.This article’s major goal is to review and analyze underwater node localization to solve the localization issues in UWSN.The present paper describes various existing localization schemes and broadly categorizes these schemes as Centralized and Distributed localization schemes underwater.Also,a detailed subdivision of these localization schemes is given.Further,these localization schemes are compared from different perspectives.The detailed analysis of these schemes in terms of certain performance metrics has been discussed in this paper.At the end,the paper addresses several future directions for potential research in improving localization problems of UWSN. | Seema Rani Anju Anupma Sangwan Krishna Kumar Kashif Nisar Tariq Rahim Soomro Ag.Asri Ag.Ibrahim Manoj Gupta Laxmi Chandand Sadiq Ali Khan | 2023 | Computers, Materials & Continua2023，，6： | 1 |
| 7 | Carbon nanotube cuprous oxide composite based pressure sensors显示文摘In this paper,we present the design,the fabrication,and the experimental results of carbon nanotube (CNT) and Cu 2 O composite based pressure sensors.The pressed tablets of the CNT-Cu 2 O composite are fabricated at a pressure of 353 MPa.The diameters of the multiwalled nanotubes (MWNTs) are between 10 nm and 30 nm.The sizes of the Cu 2 O micro particles are in the range of 3-4 μm.The average diameter and the average thickness of the pressed tablets are 10 mm and 4.0 mm,respectively.In order to make low resistance electric contacts,the two sides of the pressed tablet are covered by silver pastes.The direct current resistance of the pressure sensor decreases by 3.3 times as the pressure increases up to 37 kN/m 2.The simulation result of the resistance-pressure relationship is in good agreement with the experimental result within a variation of ±2%. | Kh.S.Karimov Muhammad Tariq Saeed Chani Fazal Ahmad Khalid Adam Khan Rahim Khan | 2012 | Chinese Physics B2012，21，1： | 1 |
| 8 | Diagnosis of enteric fever in the emergency department: a retrospective study from Pakistan显示文摘 | Uzma Rahim Khan Junaid A. Razzak Ali Faisal Saleem Adnan Ahmed Sabeena Jalal | 2010 | International Journal of Emergency Medicine2010，，1： | 1 |
| 9 | Platelet count in 100 cases of preg- nancy induced hypertension 显示文摘 | Rahim R Nahar K Khan IA | 2010 | Mymensingh Med J2010，19，1： | 1 |
| 10 | Platelet count in 100 cases of pregnancy induced hypertension 显示文摘 | Rahim R Nahar K Khan IA | 2010 | Mymensingh Med J2010，19，3： | 1 |
| 11 | Platelet count in 100 cases of pregnancy induced hypertension 显示文摘 | Rahim R Nahar K Khan I A | 2010 | Mymensingh Med J2010，19，1： | 1 |
| 12 | Platelet count in 100casesof pregnancy induced hypertension显示文摘 | Rahim R Nahar K Khan IA | 2010 | MymensinghMed J2010，19，1： | 1 |
| 13 | Convergence of a general iterative scheme for a finite family of asymptotically quasi-nonexpansive mappings in convex metric spaces and applications显示文摘 | Abdul Rahim Khan M.A. Ahmed | 2010 | Computers and Mathematics with Applications2010，，8： | 1 |
| 14 | First report on molecular characterization of Leishmania species from cutaneous leishmaniasis patients in southern Khyber Pakhtunkhwa province of Pakistan显示文摘Objective: To report presence of Leishmania major in Khyber Pakhtunkhwa of Pakistan, where cutaneous leishmaniasis(CL) is endemic and was thought to be caused by Leishmania tropica only. Methods: Biopsy samples from 432 CL suspected patients were collected from 3 southern districts of Khyber Pakhtunkhwa during years 2011–2016. Microscopy on Giemsa stained slides were done followed by amplification of the ribosomal internal transcribed spacer 1 gene. Results: Leishmania amastigotes were detected by microscopy in 308 of 432 samples(71.3%) while 374 out of 432 samples(86.6%) were positive by ribosomal internal transcribed spacer 1 PCR. Subsequent restriction fragment length polymorphism confirmed Leishmania tropica in 351 and Leishmania major in 6 biopsy samples. Conclusions: This study is the first molecular characterization of Leishmania species in southern Khyber Pakhtunkhwa. It confirmed the previous assumptions that anthroponotic CL is the major CL form present in Khyber Pakhtunkhwa province. Furthermore, this is the first report of Leishmania major from a classical anthroponotic CL endemic focus identified in rural areas of Kohat district in southern Khyber Pakhtunkhwa. | Mubbashir Hussain Shahzad Munir Sultan Ayaz Bahar Ullah Khattak Taj Ali Khan Niaz Muhammad Muhammad Anees Hazir Rahman Muhammad Qasim Muhammad Ameen Jamal Irfan Ahmed Kashif Rahim Humaira Mazhar Noha Watanay Mohamed Kasbari | 2017 | Asian Pacific Journal of Tropical Medicine2017，10，7： | 1 |
| 15 | Development of PCCNN-Based Network Intrusion Detection System for EDGE Computing显示文摘Intrusion Detection System(IDS)plays a crucial role in detecting and identifying the DoS and DDoS type of attacks on IoT devices.However,anomaly-based techniques do not provide acceptable accuracy for efficacious intrusion detection.Also,we found many difficulty levels when applying IDS to IoT devices for identifying attempted attacks.Given this background,we designed a solution to detect intrusions using the Convolutional Neural Network(CNN)for Enhanced Data rates for GSM Evolution(EDGE)Computing.We created two separate categories to handle the attack and non-attack events in the system.The findings of this study indicate that this approach was significantly effective.We attempted both multiclass and binary classification.In the case of binary,we clustered all malicious traffic data in a single class.Also,we developed 13 layers of Sequential 1-D CNN for IDS detection and assessed them on the public dataset NSL-KDD.Principal Component Analysis(PCA)was implemented to decrease the size of the feature vector based on feature extraction and engineering.The approach proposed in the current investigation obtained accuracies of 99.34%and 99.13%for binary and multiclass classification,respectively,for the NSL-KDD dataset.The experimental outcomes showed that the proposed Principal Component-based Convolution Neural Network(PCCNN)approach achieved greater precision based on deep learning and has potential use in modern intrusion detection for IoT systems. | Mohd Anul Haq Mohd Abdul Rahim Khan Talal AL-Harbi | 2022 | Computers, Materials & Continua2022，，4： | 1 |
| 16 | Effects of temperature and relative humidity on longevity and development of Ooencyrtus papilionis Ashmead(Hymenoptera:Eulophidae) ,a perasite of the sugarcane pest,Pyrilla perpusilla Walker ( Homoptera: Cicadellidae ) 显示文摘 | RAHIM A HASHMI A KHAN N A | 1991 | Environmental Entomology1991，20，3： | 1 |
| 17 | Synthesis of novel inhibitors of glucuronidase based on henzothiazole skeleton and study of their binding affinity by molecular docking显示文摘 | KHAN K M RAHIM F HALIM S A | 2011 | Bioorg Med Chem2011，19，14： | 1 |
| 18 | Does the clinical examination predict lower extremity peripheral arterial disease? 显示文摘 | Khan NA Rahim SA Anand SS | 2006 | JAMA2006，295，5： | 1 |
| 19 | Cardiopulmonary resuscitation: outcome and its predictors among hospitalized adult patients in Pakistan显示文摘 | Nadeem Ullah Khan Junaid A. Razzak Humaid Ahmed Muhammad Furqan Ali Faisal Saleem Hammad Alam Anwar ul Huda Uzma Rahim Khan Rifat Rehmani | 2008 | International Journal of Emergency Medicine2008，，1： | 1 |
| 20 | Machine Learning-Enabled Communication Approach for the Internet of Medical Things显示文摘The Internet ofMedical Things(IoMT)is mainly concernedwith the efficient utilisation of wearable devices in the healthcare domain to manage various processes automatically,whereas machine learning approaches enable these smart systems to make informed decisions.Generally,broadcasting is used for the transmission of frames,whereas congestion,energy efficiency,and excessive load are among the common issues associated with existing approaches.In this paper,a machine learning-enabled shortest path identification scheme is presented to ensure reliable transmission of frames,especially with the minimum possible communication overheads in the IoMT network.For this purpose,the proposed scheme utilises a well-known technique,i.e.,Kruskal’s algorithm,to find an optimal path from source to destination wearable devices.Additionally,other evaluation metrics are used to find a reliable and shortest possible communication path between the two interested parties.Apart from that,every device is bound to hold a supplementary path,preferably a second optimised path,for situations where the current communication path is no longer available,either due to device failure or heavy traffic.Furthermore,the machine learning approach helps enable these devices to update their routing tables simultaneously,and an optimal path could be replaced if a better one is available.The proposed mechanism has been tested using a smart environment developed for the healthcare domain using IoMT networks.Simulation results show that the proposed machine learning-oriented approach performs better than existing approaches where the proposed scheme has achieved the minimum possible ratios,i.e.,17%and 23%,in terms of end to end delay and packet losses,respectively.Moreover,the proposed scheme has achieved an approximately 21%improvement in the average throughput compared to the existing schemes. | Rahim Khan Abdullah Ghani Samia Allaoua Chelloug Mohammed Amin Aamir Saeed Jason Teo | 2023 | Computers, Materials & Continua2023，76，8： | 0 |
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