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Signaling mechanisms mediated by G-protein coupled receptors in human platelets

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Acta Pharmacologica Sinica 2004年第7期25卷 41-46页

作者： Sheikh Arshad SAEED,Huma rasheed,faisal A Wahed FECTO,Mohammad Ilyas ACHAKZAI,Rahmat ALI,John Dennis CONNOR,Anwar-ul-Hassan GILANI Department of Biological and Biomedical Sciences TheAga Khan University Karachi-74800 Pakistan Department of Biological and Biomedical Sciences TheAga Khan University Karachi-74800 Pakistan Department of Biological and Biomedical Sciences TheAga Khan University Karachi-74800 Pakistan Department of Biological and Biomedical Sciences TheAga Khan University Karachi-74800 Pakistan Department of Biological and Biomedical Sciences TheAga Khan University Karachi-74800 Pakistan Department of Biological and Biomedical Sciences TheAga Khan University Karachi-74800 Pakistan Department of Biological and Biomedical Sciences TheAga Khan University Karachi-74800 Pakistan

AIM: The present study deals with the investigation of mechanisms involved in the synergistic interaction between epinephrine and arachidonic acid (AA). METHODS: Venous blood was taken from healthy human volunteers reported to be free of medications for one week. Platelet aggregation was monitored at 37oC using Dual-channel Lumi-aggregometer. The resulting aggregation was recorded for 5 min by the measurement of light transmission as a function of time. RESULTS: The data show that a synergism in platelet aggregation mediated by subthreshold concentrations of epinephrine (1 μmol/L) and AA (0.2 μmol/L) was inhibited by the α2-receptor antagonist (yohimbine, IC50=0.6 μmol/L) and an inhibitor of AA-cyclooxygenase (COX), indomethacin (IC50=0.25 μmol/L). In examining receptor influence on intraplatelet signalling pathways, it was found that the synergistic effect was inhibited by calcium channel blockers, verapamil (IC50=0.4 μmol/L) and diltiazem (IC50=2.5 μmol/L), as well as by low concentrations of inhibitors of phospholipase C (PLC) (U73122; IC50=0.2 μmol/L) and mitogens activated protein kinase (MAPK) (PD 98059; IC50=3.8 μmol/L). Herbimycin A, a specific inhibitor of tyrosine light chain kinase (TLCK), showed inhibition at IC50 value of 15 μmol/L, whereas chelerythrine, a protein kinase C (PKC) inhibitor, had no effect up to 20 μmol/L. CONCLUSION: These data suggest that synergism between epinephrine and AA in platelet aggregation is triggered through receptors coupled to G-protein, which in turn, activate PLC, COX, and MAP kinase-signaling pathways.

关键词： platelet aggregation epinephrine arachidonic acid cyclooxygenase phospholipase C calcium channel blockers nitric oxide MAP kinase

Risk factor profiles for gastric cancer prediction with respect to Helicobacter pylori:A study of a tertiary care hospital in Pakistan

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Artificial Intelligence in Gastroenterology 2023年第1期4卷 10-27页

作者： Shahid Aziz Simone König Muhammad Umer Tayyab Saeed Akhter Shafqat Iqbal Maryum Ibrar Tofeeq Ur-Rehman Tanvir Ahmad Alfizah Hanafiah Rabaab Zahra faisal rasheed Patients Diagnostic Lab Isotope Application DivisionPakistan Institute of Nuclear Science and TechnologyIslamabad 44000Pakistan Department of Microbiology Quaid-i-Azam UniversityIslamabad 45320Pakistan Interdisciplinary Center for Clinical Research Core Unit ProteomicsUniversity of MünsterMünster 48149Germany Management Information System Division Pakistan Institute of Nuclear Science and TechnologyIslamabad 44000Pakistan Centre for Liver and Digestive Diseases Holy Family HospitalRawalpindi 46300Pakistan Pakistan Scientific and Technological Information Centre Quaid-i-Azam UniversityIslamabad 45320Pakistan Department of Pharmacy Quaid-i-Azam UniversityIslamabad 45320Pakistan Faculty of Medicine Department of Medical Microbiology and ImmunologyUniversiti Kebangsan MalaysiaCherasKuala Lumpur 56000Malaysia

BACKGROUND Gastric cancer(GC)is the fourth leading cause of cancer-related deaths *** relies on histopathology and the number of endoscopies is *** pylori(***)infection is a major risk *** To develop an in-silico GC prediction model to reduce the number of diagnostic surgical *** meta-data of patients with gastroduodenal symptoms,risk factors associated with GC,and *** infection status from Holy Family Hospital Rawalpindi,Pakistan,were used with machine *** A cohort of 341 patients was divided into three groups[normal gastric mucosa(NGM),gastroduodenal diseases(GDD),and GC].Information associated with socioeconomic and demographic conditions and GC risk factors was collected using a *** infection status was determined based on urea breath *** association of these factors and histopathological grades was assessed statistically.K-Nearest Neighbors and Random Forest(RF)machine learning models were *** This study reported an overall frequency of 64.2%(219/341)of *** infection among enrolled *** was higher in GC(74.2%,23/31)as compared to NGM and GDD and higher in males(54.3%,119/219)as compared to *** abdominal pain(72.4%,247/341)was observed than other clinical symptoms including vomiting,bloating,acid reflux and *** majority of the GC patients experienced symptoms of vomiting(91%,20/22)with abdominal pain(100%,22/22).The multinomial logistic regression model was statistically significant and correctly classified 80%of the GDD/GC ***,income level,vomiting,bloating and medication had significant association with GDD and GC.A dynamic RF GC-predictive model was developed,which achieved>80%test *** GC risk factors were incorporated into a computer model to predict the likelihood of developing GC with high sensitivity and *** model is dynamic and will be further improved and validated by including n

关键词： Gastric cancer Gastritis Machine learning Prediction model Helicobacter pylori

Defining failure of endoluminal biliary drainage in the era of endoscopic ultrasound and lumen apposing metal stents

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World Journal of Gastroenterology 2024年第29期30卷 3534-3537页

作者： faisal S Ali Sushovan Guha Department of Gastroenterology Hepatologyand NutritionUniversity of Texas Health Science Center at HoustonHustonTX 77054United States Department of Clinical Sciences Tilman J.Fertitta Family College of MedicineUniversity of HoustonHoustonTX 77204United States

The role of endoscopy in pathologies of the bile duct and gallbladder has seen notable advancements over the past two *** advancements in stent technology,such as the development of lumen-apposing metal stents,and adoption of endoscopic ultrasound and electrosurgical principles in therapeutic endoscopy,what was once considered endoscopic failure has transformed into failure of an approach that could be salvaged by a second-or third-line endoscopic *** of these advancements in routine patient care will require formal training and multidisciplinary acceptance of established techniques and collaboration for advancement of experimental techniques to generate robust evidence that can be utilized to serve patients to the best of our ability.

关键词： Endoscopic ultrasound Guided biliary drainage Gallbladder Biliary obstruction Lumen-apposing metal stent

Construction of robust and durable Cu_(2)Se-V_(2)O_(5) nanosheet electrocatalyst for alkaline oxygen evolution reaction

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Frontiers of Chemical Science and Engineering 2024年第6期18卷 71-83页

作者： Tauseef Munawar Ambreen Bashir Khalid Mujasam Batoo Saman Fatima faisal Mukhtar Sajjad Hussain Sumaira Manzoor Muhammad Naeem Ashiq Shoukat Alim Khan Muammer Koc faisal Iqbal Institute of Physics The Islamia University of BahawalpurBahawalpur 63100Pakistan King Abdullah Institute for Nanotechnology King Saud UniversityRiyadh 11451Saudi Arabia Hybrid Materials Center(HMC) Sejong UniversitySeoul 05006Republic of Korea Department of Nanotechnology and Advanced Materials Engineering Sejong UniversitySeoul 05006Republic of Korea Institute of Chemical Sciences Bahauddin Zakariya UniversityMultan 60800Pakistan Division of Sustainable Development College of Science and EngineeringHamad Bin Khalifa UniversityQatar FoundationDoha 34110Qatar

Reducing the production costs of clean energy carriers such as hydrogen through scalable water electrolysis is a potential solution for advancing the hydrogen *** the various material candidates,our group demonstrated transition-metal-based materials with tunable electronic characteristics,various phases,and ***,electrochemical water oxidation using Cu_(2)Se-V_(2)O_(5) as a non-precious metallic electrocatalyst via a hydrothermal approach is *** water-splitting performance of all the fabricated electrocatalysts was evaluated after direct growth on a stainless-steel *** electrochemically tuned Cu_(2)Se-V_(2)O_(5) catalyst exhibited a reduced overpotential of 128 mV and provided a reduced Tafel slope of 57 mV·dec^(−1) to meet the maximum current density of 250 mA·cm^(−2).The optimized strategy for interfacial coupling of the fabricated Cu_(2)Se-V_(2)O_(5) catalyst resulted in a porous structure with accessible active sites,which enabled adsorption of the intermediates and afforded an effective charge transfer rate for promoting the oxygen evolution ***,the combined effect of the catalyst components provided long-term stability for over 110 h in an alkaline solution,which makes the catalyst promising for large-scale practical *** aforementioned advantages of the composite catalyst overcome the limitations of low conductivity,agglomeration,and poor stability of the pure catalysts(Cu2Se and V2O5).

关键词： oxygen evolution reaction Cu_(2)Se-V_(2)O_(5)composite nanosheets metal-diffused ions accessible adsorption sites

Review of MXenes as a component in smart textiles and an adsorbent for textile wastewater remediation

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Chinese Chemical Letters 2024年第2期35卷 208-222页

作者： Kaniz Farhana Kumaran Kadirgama Abu Shadate faisal Mahamude Rajan Jose Department of Apparel Engineering Bangladesh University of TextilesDhaka 1208Bangladesh Faculty of Mechanical and Automotive Engineering Technology Universiti Malaysia Pahang26600 PekanPahangMalaysia Center of Automotive Engineering Universiti Malaysia PahangMalaysia College of Engineering Universiti Malaysia Pahang26300 GambangPahangMalaysia Faculty of Industrial Sciences & Technology Universiti Malaysia Pahang26300 KuantanMalaysia Center of Intelligent Materials Universiti Malaysia Pahang26300 KuantanMalaysia

Two-dimensional(2D)MXenes have emerged as an archetypical layered material combining the properties of an organic-inorganic hybrid offering materials sustainability for a range of *** surface functional groups and the associated chemical properties'tailorability through functionalizing MXenes with other materials as well as hydrophilicity and high conductivity enable them to be the best successor for various applications in textile industries,especially in the advancement of smart textiles and remediation of textile ***-based textile composite performs superb smartness in high-performance wearables as well as in the reduction of textile dyes from *** article critically reviews the significance of MXenes in two sectors of the textile ***,we review the improvement of textile raw materials such as fiber,yarn,and fabric by using MXene as electrodes in supercapacitors,pressure ***,we review advancements in the removal of dyes from textile wastewater utilizing MXene as an absorbent by the adsorption ***-based textiles demonstrated superior strength through the strong bonding between MXene and textile structures as well as the treatment of adsorbate by adsorbent(MXene in the adsorption process).We identify critical gaps for further research to enable their real-life applications.

关键词： Textile fibers Industrial wastewater treatment MAX phases Hybrid electrodes Adsorption

DeBERTa-GRU: Sentiment Analysis for Large Language Model

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Computers, Materials & Continua 2024年第6期79卷 4219-4236页

作者： Adel Assiri Abdu Gumaei faisal Mehmood Touqeer Abbas Sami Ullah Department of Informatics for Business College of BusinessKing Khalid UniversityAbha61421Saudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia School of Electrical and Information Engineering Zhengzhou UniversityZhengzhou450001China Department of Computer Science and Technology Beijing University of Chemical TechnologyBeijing100029China Department of Computer Science Government College University FaisalabadFaisalabadPunjab38000Pakistan

Modern technological advancements have made social media an essential component of daily *** media allow individuals to share thoughts,emotions,and *** analysis plays the function of evaluating whether the sentiment of the text is positive,negative,neutral,or any other personal emotion to understand the sentiment context of the *** analysis is essential in business and society because it impacts strategic *** analysis involves challenges due to lexical variation,an unlabeled dataset,and text distance *** execution time increases due to the sequential processing of the sequence ***,the calculation times for the Transformer models are reduced because of the parallel *** study uses a hybrid deep learning strategy to combine the strengths of the Transformer and Sequence models while ignoring their *** particular,the proposed model integrates the Decoding-enhanced with Bidirectional Encoder Representations from Transformers(BERT)attention(DeBERTa)and the Gated Recurrent Unit(GRU)for sentiment *** the Decoding-enhanced BERT technique,the words are mapped into a compact,semantic word embedding space,and the Gated Recurrent Unit model can capture the distance contextual semantics *** proposed hybrid model achieves F1-scores of 97%on the Twitter Large Language Model(LLM)dataset,which is much higher than the performance of new techniques.

关键词： DeBERTa GRU Naive Bayes LSTM sentiment analysis large language model

Robust design of sliding mode control for airship trajectory tracking with uncertainty and disturbance estimation

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Journal of Systems Engineering and Electronics 2024年第1期35卷 242-258页

作者： WASIM Muhammad ALI Ahsan CHOUDHRY Mohammad Ahmad SHAIKH Inam Ul Hasan SALEEM faisal Department of Aeronautics and Astronautics Engineering Institute of Space TechnologyIslamabad 44000Pakistan Department of Electrical Engineering University of Engineering and TechnologyTaxila 47080Pakistan Department of Measurements and Control Systems Silesian University of TechnologyGliwice 44-101Poland The Joint Doctoral School Silesian University of TechnologyGliwice 44-100Poland

The robotic airship can provide a promising aerostatic platform for many potential *** applications require a precise autonomous trajectory tracking control for *** has a nonlinear and uncertain *** is prone to wind disturbances that offer a challenge for a trajectory tracking control *** paper addresses the airship trajectory tracking problem having time varying reference path.A lumped parameter estimation approach under model uncertainties and wind disturbances is opted against distributed *** uses extended Kalman filter(EKF)for uncertainty and disturbance *** estimated parameters are used by sliding mode controller(SMC)for ultimate control of airship trajectory *** comprehensive algorithm,EKF based SMC(ESMC),is used as a robust solution to track airship *** proposed estimator provides the estimates of wind disturbances as well as model uncertainty due to the mass matrix variations and aerodynamic model *** stability and convergence of the proposed method are investigated using the Lyapunov stability *** simulation results show that the proposed method efficiently tracks the desired *** method solves the stability,convergence,and chattering problem of SMC under model uncertainties and wind disturbances.

关键词： airship chattering extended Kalman filter(EKF) model uncertainties estimation sliding mode controller(SMC)

Strong ground motion characteristics observed in the February 6,2023 M_(W)7.7 Türkiye earthquake

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Earthquake Science 2024年第3期37卷 241-262页

作者： faisal Mehraj Wani Jayaprakash Vemuri Chenna Rajaram Department of Civil Engineering Ecole Centrale College of EngineeringMahindra UniversityHyderabadTelangana 500043India Department of Civil Engineering Rajeev Gandhi Memorial College of Engineering and TechnologyNandyalAndhra Pradesh 518501India

Türkiye is located in a seismically active region,where the Anatolian,African,and Arabian tectonic plates *** seismic hazards cause the region to be struck repeatedly by major *** February 06,2023,a devastating M_(W)7.7 earthquake struck Türkiye at 01:17 am local time(01:17 UTC).In this regard,near and far-field ground motion data within the distance of 120 km are compiled and later characterized to identify the key ground motion intensity ***,the vertical components of ground motions were examined to capture the complete three-dimensional nature of the seismic ***,the effect of Pulse-Like(PL)and Non-Pulse-Like(NPL)ground motion on a representative RC frame structure built as per the Türkiye code was *** results indicate that PL behavior was observed in both horizontal and vertical components of ground motions and PL behavior were noted both near the epicenter and at higher distances from the ***,the ratio of the peak vertical acceleration to peak horizontal acceleration at certain stations was found to be close to ***,the non-linear time history analysis of the representative reinforced concrete frame structure for ground motions recorded at stations located equidistant from the epicenter,indicated that PL ground motions led to more significant damage compared to NPL ground motions.

关键词： Pulse-Like Non-Pulse-Like 2023 Türkiye earthquake V/H ratio reinforced concrete

Applications of artificial intelligence in geothermal resource exploration: A review

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Deep Underground Science and Engineering 2024年第3期3卷 269-285页

作者： Mahmoud AlGaiar Mamdud Hossain Andrei Petrovski Aref Lashin Nadimul faisal School of Engineering Robert Gordon UniversityAberdeenUK National Subsea Centre AberdeenUK Petroleum and Natural Gas Engineering Department College of EngineeringKing Saud UniversityRiyadhSaudi Arabia

Artificial intelligence (AI) has become increasingly important in geothermal exploration,significantly improving the efficiency of resource *** review examines current AI applications,focusing on the algorithms used,the challenges addressed,and the opportunities *** addition,the review highlights the growth of machine learning applications in geothermal exploration over the past decade,demonstrating how AI has improved the analysis of subsurface data to identify potential *** techniques such as neural networks,support vector machines,and decision trees are used to estimate subsurface temperatures,predict rock and fluid properties,and identify optimal drilling *** particular,neural networks are the most widely used technique,further contributing to improved exploration ***,the widespread adoption of AI in geothermal exploration is hindered by challenges,such as data accessibility,data quality,and the need for tailored data science training for industry ***,the review emphasizes the importance of data engineering methodologies,data scaling,and standardization to enable the development of accurate and generalizable AI models for geothermal *** is concluded that the integration of AI into geothermal exploration holds great promise for accelerating the development of geothermal energy *** effectively addressing key challenges and leveraging AI technologies,the geothermal industry can unlock cost‐effective and sustainable power generation opportunities.

关键词： artificial intelligence geothermal energy geothermal exploration geothermometry hidden/blind geothermal resources machine learning

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