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| 1 | In vivo screening of essential oils of Skimmia laureola leaves for antinociceptive and antipyretic activity显示文摘Objective:To study the screening of essential oils of Skimmia laureola leaves(SLO)for acute toxicity,antinociceptive,antipyretic and anticonvulsant activities in various animal models.Methods:SLO were extracted using modified Clevenger type apparatus.Acute toxicity test was used in mice to observe its safety level.Antinociceptive activity of SLO was evaluated in acetic acid induced writhing and hot plate tests.Yeast induced hyperthermic mice and pentylenetetrazole induced convulsive mice were used for the assessment of its antipyretic and anticonvulsant profile respectively.Results:Substantial safety was observed for SLO in acute toxicity test.SLO showed a high significant activity in acetic acid induced writhing test in a dose dependent manner with maximum pain attenuation of 68.48%at 200 mg/kg i.p.However,it did not produce any relief in thermal induced pain at test doses.When challenged against pyrexia evoked by yeast,SLO manifested marked amelioration in hyperthermic mice,dose dependently.Maximum anti-hyperthermic activity(75%)was observed at 200 mg/kg i.p.after 4 h of drug administration.Nevertheless,SLO had no effect on seizures control and mortality caused by pentylenetetrazole.Conclusions:In vivo studies of SLO showed prominent antinociceptive and antipyretic activities with ample safety profile and thus provided pharmacological base for the traditional uses of the plant in various painful conditions and pyrexia.Additional detail studies are required to ascertain its clinical application. | Naveed Muhammad Barkatullah Muhammad Ibrar Haroon Khan Muhammad Saeed Amir Zada Khan Waqar Ahmad Kaleem | 2013 | Asian Pacific Journal of Tropical Biomedicine2013，3，3： | 2 |
| 2 | In vivo laxative, anti-diarrheal, hepatoprotective and diuretic investigations of Sterculia diversifolia and its isolated compounds显示文摘OBJECTIVE:To investigated the laxative,anti-diarrheal,hepatoprotective and diuretic activity of Sterculia diversifolia and its isolated compounds.METHODS:The laxative activity was studied by counting wet stools while anti-diarrheal activity was performed by measuring gastrointestinal tract motility.Hepatoprotective activity was studied by biochemical and histo-pathological analysis while diuretic activity was performed by urine collection protocol.RESULTS:Doses of 30 and 100 mg/kg of crude methanolic extract of Sterculia diversifolia(MESD)stem bark and leaves,significantly(P<0.05,P<0.01)produced wet feces in subjects pretreated with atropine while 8-hydroxyquercetin and dihydroquercetin showed highly significant(P<0.001)results by increasing fecal weight and water contents without producing diarrhea.MESD stem bark and leaves also dose-dependently lowered diar-rhea while 8-hydroxyquercetin and dihydroquercetin showed highly significant(P<0.001)results by producing shaped stools in mice.MESD,8-hydroxyquercetin and dihydroquercetin offered significant protection against histopathological changes in the liver.Diuretic activity of Crude MESD stem bark and leaves extracts shows highly significant diuretic effect while dihydroquercetin showed better results than 8-hydroxyquercetin.CONCLUSION:It is concluded that Sterculia diversifolia and its isolated compounds bears laxative,anti-diarrheal,hepatoprotective and diuretic effects. | Fazle Rabbi Amir Zada Amna Nisar Muhammad Sohail Saifullah Khan Khalil Abid Ali Ahmad | 2021 | Journal of Traditional Chinese Medicine2021，41，5： | 2 |
| 3 | 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 |
| 4 | Suitable energy platform significantly improves charge separation of g-C3N4 for CO2 reduction and pollutant oxidation under visible-light显示文摘The photocatalytic activities of g-C3N4 can be significantly improved by increasing life time of the photogenerated charges. Here, in this work we introduced TiO2 as proper energy platform to accept the photogenerated electrons from g-C3N4 during photocatalysis. The nanophotocatalysts formed from the combination of a suitable amount of TiO2 nanoparticles and g-C3N4 nanosheets showed 8.75 and 4.22% enhancement in photocatalytic activities for CO2 reduction and 2-chlorophenol(2-CP) degradation under visible light illumination as compared to bare g-C3N4. Based on the surface photovoltage spectra, photoluminescence spectra and examination of formed hydroxyl radicals, it was confirmed that these enhanced photoactivities were attributed to the much-improved charge separation via the electron transfer from g-C3N4 to TiO2. From trapping experiments,it was found that hydroxyl radicals were the major species involved in the photocatalytic degradation of 2-CP.This study is helpful to synthesize efficient photocatalysts to cope with energy and environmental issues. | Amir Zada Nauman Ali Fazle Subhan Natasha Anwar Muhammad Ishaq Ali Shah Muhammad Ateeq Zahid Hussain Khair Zaman Momin Khan | 2019 | Progress in Natural Science:Materials International2019，29，2： | 1 |
| 5 | Seroepidemiology of dengue fever in Khyber Pakhtunkhawa, Pakistan显示文摘 | Amjad Ali Habib ur Rehman Muhammad Nisar Shazia Rafique Sadia Ali Abrar Hussain Nausheen Muhammad Idrees Sabeen Sabri Hakeem Zada Shah Hussain | 2013 | International Journal of Infectious Diseases2013，，7： | 1 |
| 6 | 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 |
| 7 | Enhanced Fingerprinting Based Indoor Positioning Using Machine Learning显示文摘Due to the inability of the Global Positioning System(GPS)signals to penetrate through surfaces like roofs,walls,and other objects in indoor environments,numerous alternative methods for user positioning have been presented.Amongst those,the Wi-Fi fingerprinting method has gained considerable interest in Indoor Positioning Systems(IPS)as the need for lineof-sight measurements is minimal,and it achieves better efficiency in even complex indoor environments.Offline and online are the two phases of the fingerprinting method.Many researchers have highlighted the problems in the offline phase as it deals with huge datasets and validation of Fingerprints without pre-processing of data becomes a concern.Machine learning is used for the model training in the offline phase while the locations are estimated in the online phase.Many researchers have considered the concerns in the offline phase as it deals with huge datasets and validation of Fingerprints becomes an issue.Machine learning algorithms are a natural solution for winnowing through large datasets and determining the significant fragments of information for localization,creating precise models to predict an indoor location.Large training sets are a key for obtaining better results in machine learning problems.Therefore,an existing WLAN fingerprinting-based multistory building location database has been used with 21049 samples including 19938 training and 1111 testing samples.The proposed model consists of mean and median filtering as pre-processing techniques applied to the database for enhancing the accuracy by mitigating the impact of environmental dispersion and investigated machine learning algorithms(kNN,WkNN,FSkNN,and SVM)for estimating the location.The proposed SVM with median filtering algorithm gives a reduced mean positioning error of 0.7959 m and an improved efficiency of 92.84%as compared to all variants of the proposed method for 108703 m^(2) area. | Muhammad Waleed Pasha Mir Yasir Umair Alina Mirza Faizan Rao Abdul Wakeel Safia Akram Fazli Subhan Wazir Zada Khan | 2021 | Computers, Materials & Continua2021，，11： | 0 |
| 8 | Anomalous Situations Recognition in Surveillance Images Using Deep Learning显示文摘Anomalous situations in surveillance videos or images that may result in security issues,such as disasters,accidents,crime,violence,or terrorism,can be identified through video anomaly detection.However,differentiat-ing anomalous situations from normal can be challenging due to variations in human activity in complex environments such as train stations,busy sporting fields,airports,shopping areas,military bases,care centers,etc.Deep learning models’learning capability is leveraged to identify abnormal situations with improved accuracy.This work proposes a deep learning architecture called Anomalous Situation Recognition Network(ASRNet)for deep feature extraction to improve the detection accuracy of various anomalous image situations.The proposed framework has five steps.In the first step,pretraining of the proposed architecture is performed on the CIFAR-100 dataset.In the second step,the proposed pre-trained model and Inception V3 architecture are used for feature extraction by utilizing the suspicious activity recognition dataset.In the third step,serial feature fusion is performed,and then the Dragonfly algorithm is utilized for feature optimization in the fourth step.Finally,using optimized features,various Support Vector Machine(SVM)and K-Nearest Neighbor(KNN)based classification models are utilized to detect anomalous situations.The proposed framework is validated on the suspicious activity dataset by varying the number of optimized features from 100 to 1000.The results show that the proposed method is effective in detecting anomalous situations and achieves the highest accuracy of 99.24%using cubic SVM. | Qurat-ul-Ain Arshad Mudassar Raza Wazir Zada Khan Ayesha Siddiqa Abdul Muiz Muhammad Attique Khan Usman Tariq Taerang Kim Jae-Hyuk Cha | 2023 | Computers, Materials & Continua2023，，7： | 0 |
| 9 | Effect of Mental Health Problems on Academic Performance among University Students in Pakistan显示文摘Scientific interest in student’s mental health experiences has been increasing in the last years due to their influence on students’learning processes,academic performance,and recently,the suicidal news of a student at a private university due to her mental health condition in Lahore Punjab,Pakistan,captured public attention.That incident also shifted researchers and scholars’attention on the much underexplored and tabooed sphere of the broader public health domain.Hence,the current study aimed to explore the relationship between mental health problems and Pakistani university students’academic performance.Participants were 540 senior semester students within the age range of 20–35 years taken from public and private institutes of Pakistan’s major cities,including Lahore,Islamabad,and Peshawar.Descriptive and inferential statistics was employed for data analysis.Pearson Product Moment Correlation,Hierarchical Regression analysis,and Independent sample t-test were used for data analysis in inferential statistics.The results of the study reveal that there is a strong positive association between mental health and improvement in academic performance.Mental health problems negatively affect the academic performance of university students.The findings of the current study were beneficial for shedding light on the ignorant area within the broader public health domain;the results are also helpful in raising awareness for not only students but also the parents and university administration to plan and design effective intervention strategies to provide proper mental health that resultantly promote academic excellence. | Shagufta Zada Yuefen Wang Muhammad Zada Fatima Gul | 2021 | International Journal of Mental Health Promotion2021，23，3： | 0 |
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