|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Tectonic Imprints of the Hazara Kashmir Syntaxis on the Mesozoic Rocks Exposed in Munda, Mohmand Agency, Northwest Pakistan显示文摘Two well-developed mesoscopic folds, D_2 and D_3, which postdate the middle amphibolite metamorphism, were recognized in the western hinterland zone of Pakistan. NW–SE trending D_2 folds developed during NE–SW horizontal bulk shortening followed by NE–SW trending D_3 folds, which developed during SE–NW shortening. Micro- to mesoscopically the NW–SE trending S2 crenulation cleavage, boudins and mineral stretching lineations are overprinted by D_3. The newly established NW–SE trending micro- to mesoscopic structures in Munda termed D_2, which postdated F_1/F_2, is synchronously developed with F3 structures in the western hinterland zone of Pakistan. We interpret that D_2 and D_3 folds are counterclockwise rotated in the tectonic event that has evolved the Hazara Kashmir Syntaxis after the main phase Indian plate and Kohistan Island Arc collision. Chlorite replacement by biotite in the main matrix crenulation cleavages indicates prograde metamorphism related with D_2. The inclusion of muscovite and biotite in garnet porphyroblasts and the presence of staurolite in these rocks indicate that the Barrovian metamorphic conditions predate D_2 and D_3. We interpret that garnet, staurolite and calcite porphyroblasts grew before D_2 because the well developed S2 crenulation cleavage wraps around these porphyroblasts. | Asghar ALI Umer HABIB Atta Ur REHMAN Noor ZADA Zain Ul ABIDIN Muhammad ISMAIL | 2016 | Acta Geologica Sinica(English Edition)2016，90，2： | 1 |
| 2 | Prediction of laser beam welding - induced distortions and residual stresses by numerical simulation for aeronautic application显示文摘 | Muhammad Zain - ul - Abdeina Daniel Neliasa Jean - Franc | 2009 | Journal of materials pro- cessing technology2009，，209： | 1 |
| 3 | Extended Forgery Detection Framework for COVID-19 Medical Data Using Convolutional Neural Network显示文摘Medical data tampering has become one of the main challenges in the field of secure-aware medical data processing.Forgery of normal patients’medical data to present them as COVID-19 patients is an illegitimate action that has been carried out in different ways recently.Therefore,the integrity of these data can be questionable.Forgery detection is a method of detecting an anomaly in manipulated forged data.An appropriate number of features are needed to identify an anomaly as either forged or non-forged data in order to find distortion or tampering in the original data.Convolutional neural networks(CNNs)have contributed a major breakthrough in this type of detection.There has been much interest from both the clinicians and the AI community in the possibility of widespread usage of artificial neural networks for quick diagnosis using medical data for early COVID-19 patient screening.The purpose of this paper is to detect forgery in COVID-19 medical data by using CNN in the error level analysis(ELA)by verifying the noise pattern in the data.The proposed improved ELA method is evaluated using a type of data splicing forgery and sigmoid and ReLU phenomenon schemes.The proposed method is verified by manipulating COVID-19 data using different types of forgeries and then applying the proposed CNN model to the data to detect the data tampering.The results show that the accuracy of the proposed CNN model on the test COVID-19 data is approximately 92%. | Sajid Habib Gill Noor Ahmed Sheikh Samina Rajpar Zain ul Abidin N.Z.Jhanjhi Muneer Ahmad Mirza Abdur Razzaq Sultan S.Alshamrani Yasir Malik Fehmi Jaafar | 2021 | Computers, Materials & Continua2021，，9： | 0 |
| 4 | Effect of body material and temperature variation on the performance of the time delay pyrotechnic compositions显示文摘Significance of body material and temperature variation on burning time and burning rate of Si/Pb O/Pb_3O_4/FG and B/BaCrO_4/FG pyrotechnic delay compositions were experimentally studied. Brass and stainless steel were used as delay body materials. High resolution oscilloscope and a customized chronometer were simultaneously used for the measurement of burning time and burning rate. Results reveal that brass material with controlled column dimensions reduced the variation in burning time of Si/Pb O/Pb_3O_4/FG delay mixture from 7.43% to 4.17% and that of B/Ba CrO_4/FG mixture from 16.83% to 9.39%.Similarly the variation in burning rate was reduced from 7.57% to 4.12% and from 17% to 9.69% for Si/Pb O/Pb_3O_4/FG and B/BaCrO_4/FG mixtures respectively. Si/PbO/Pb_3O_4/FG delay mixture was also subjected to temperature ranging from -54℃ up to+100℃. The burning rate of this composition varied linearly with temperature. Burning rate increased from 28.01 mm/s to 34.38 mm/s when the temperature was varied from -54℃ to +100℃. | Azizullah Khan Abdul Qadeer Malik Zulfiqar Hameed Lodhi Zain Ul Abdin | 2018 | Defence Technology(防务技术)2018，14，3： | 0 |
| 5 | Anti-obesity effect and UHPLC-QTOF-MS/MS based metabolite profiling of Solanum nigrum leaf extract显示文摘Objective:To evaluate the antioxidant potential and pancreatic lipase inhibitory action of optimized hydroethanolic extracts of Solanum nigrum.Methods:Optimized extraction for maximum recovery of metabolites was performed using a combination of freeze-drying and ultrasonication followed by determination of antioxidant and antiobesity properties.The ultra-high performance liquid chromatography equipped with mass spectrometry was used to analyze metabolite profiling of Solanum nigrum.Computational studies were performed using molecular docking and electrostatic potential analysis for individual compounds.The hypolipidemic potential of the most potent extract was assessed in the obese mice fed on fat rich diet.Results:The 80%hydroethanolic extract exhibited the highest extract yield,total phenolic contents,total flavonoid contents along with the strongest 2,2-diphenyl-1-picrylhydrazyl scavenging activity,total antioxidant power,and pancreatic lipase inhibitory properties.The 80%hydroethanolic extract not only regulated the lipid profile of obese mice but also restricted the weight gain in the liver,kidney,and heart.The 80%hydroethanolic extract also reduced alanine transaminase and aspartate transaminase concentrations in serum.The effects of plant extract at 300 mg/kg body weight were quite comparable with the standard drug orlistat.Conclusions:Solanum nigrum is proved as an excellent and potent source of secondary metabolites that might be responsible for obesity mitigation. | Zain Ul Aabideen Muhammad Waseem Mumtaz Muhammad Tayyab Akhtar Muhammad Asam Raza Hamid Mukhtar Ahmad Irfan Syed Ali Raza Muhammad Nadeem Yee Soon Ling | 2022 | Asian Pacific Journal of Tropical Biomedicine2022，12，4： | 0 |
| 6 | Multi-Attribute Group Decision-Making Method under Spherical Fuzzy Bipolar Soft Expert Framework with Its Application显示文摘Spherical fuzzy soft expert set(SFSES)theory blends the perks of spherical fuzzy sets and group decision-making into a unified approach.It allows solutions to highly complicated uncertainties and ambiguities under the unbiased supervision and group decision-making of multiple experts.However,SFSES theory has some deficiencies such as the inability to interpret and portray the bipolarity of decision-parameters.This work highlights and overcomes these limitations by introducing the novel spherical fuzzy bipolar soft expert sets(SFBSESs)as a powerful hybridization of spherical fuzzy set theory with bipolar soft expert sets(BSESs).Followed by the development of certain set-theoretic operations and properties of the proposed model,important problems,including the selection of non-powered dam(NPD)sites for hydropower conversion are discussed and solved under the proposed approach.These problems mainly focus on the need for an efficient tool capable of considering the bipolarity of parameters,complicated ambiguities,and multiple opinions.Supporting the new approach by a detailed comparative analysis,it is concluded that the proposed model is more comprehensive and reliable for multi-attribute group decisionmaking(MAGDM)than the previous tools,particularly considering the bipolarity of parameters under SFSES environment. | Mohammed M.Ali Al-Shamiri Ghous Ali Muhammad Zain Ul Abidin Arooj Adeel | 2023 | Computer Modeling in Engineering & Sciences2023，，11： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员