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Open Journal of Respiratory Diseases 2015年第1期5卷 10-18页

作者： Ron Eccles martez jawad David L. Ramsey J. David Hull Common Cold and Nasal Research Centre Cardiff School of Biosciences Cardiff University Cardiff UK The Procter & Gamble Company Mason Business Centre Mason OH USA Procter & Gamble Technical Centres Ltd. Whitehall Lane Egham Surrey UK

Vicks VapoRub® (VVR) is a pharmaceutical preparation containing a combination of levomenthol, eucalyptus oil, turpentine oil and camphor as active ingredients, and thymol, cedarwood oil, and white soft paraffin as excipients. VVR is a petrolatum-based ointment to be either applied topically to the chest, throat, and back or added to hot water and the aromatic vapours inhaled. When used topically, the actives are evaporated by body temperature and inspired. The main therapeutic effects are the feeling of relief from nasal congestion and relief from cough. These were primarily experienced by patients as the trigeminal and olfactory impact of the aromatics and were hypothesized to be experienced within minutes. This was a randomized, single-(Investigator) blind, controlled, 2-arm (VVR vs. petrolatum), parallel design pilot study in 50 otherwise healthy adult patients suffering from common cold and experiencing nasal congestion. Speed to detection of a sensation of nasal cooling and nasal decongestion was assessed following application of the recommended amount of product. The time to first experience of a sensation of nasal cooling was significantly (p ® as directed experienced significant differences from control for sensation of nasal cooling in 12 seconds and the sensation of nasal decongestion in 62 seconds.

关键词： VapoRub Common Cold Flu Topical Decongestion Nasal Decongestion

Winding Function Model-based Performance Evaluation of a PM Transverse Flux Generator for Applications in Direct-drive Systems

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CES Transactions on Electrical Machines and Systems 2024年第2期8卷 216-226页

作者： Mehrage Ghods jawad Faiz Ali A Pourmoosa IEEE School of Electrical and Computer Engineering College of Engineeringthe University of Tehran

The magnetic flux in a permanent magnet transverse flux generator(PMTFG) is three-dimensional(3D), therefore, its efficacy is evaluated using 3D magnetic field analysis. Although the 3D finite-element method(FEM) is highly accurate and reliable for machine simulation, it requires a long computation time, which is crucial when it is to be used in an iterative optimization process. Therefore, an alternative to 3DFEM is required as a rapid and accurate analytical technique. This paper presents an analytical model for PMTFG analysis using winding function method. To obtain the air gap MMF distribution, the excitation magneto-motive force(MMF) and the turn function are determined based on certain assumptions. The magnetizing inductance, flux density, and back-electro-magnetomotive force of the winding are then determined. To assess the accuracy of the proposed method, the analytically calculated parameters of the generator are compared to those obtained by a 3D-FEM. The presented method requires significantly shorter computation time than the 3D-FEM with comparable accuracy.

关键词： Index Terms—Permanent magnet transverse flux generator Winding function 3D-FEM Cogging torque Prototyping

Chaplygin gas inspired warm inflation and swampland conjectures through various scalar potentials

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Chinese Physics C 2024年第9期48卷 254-273页

作者： Abdul jawad Nadeem Azhar Shama Sadiq Shamaila Rani Institute for Theoretical Physics and Cosmology Zhejiang University of TechnologyHangzhou 310023China Department of Mathematics COMSATS University IslamabadLahore CampusLahore-54000Pakistan Department of Mathematics National University of Modern Languages(NUML)Lahore CampusLahore-54000Pakistan

In this paper,we analyze inflationary parameters and swampland conjectures in the presence of a scalar field and Chaplygin *** examine inflationary parameters,such as slow-roll parameters,scalar and tensor power spectra,spectral index,and tensor-to-scalar ratio,in the presence of a scalar field and Chaplygin gas *** also discuss recently proposed swampland *** assume that the inflationary expansion is driven by a standard scalar field with a decay ratioΓthat has a generic power-law dependence on the scalar field 0 and that the temperature of the thermal bath T is given byΓ(φ,T)=C_(φ)T^(a)/φ^(a-1),where C_(φ)is a dimensionless parameter and a is the inflation decay *** a scenario where our model operates within a robust dissipative environment(R>>1),we analyze both fundamental and perturbative dynamics to extract key inflationary *** include the scalar power spectrum P_(R),dissipative ratio R,scalar spectral index n_(s),tensor-to-scalar ratio r,running of the scalar spectral index dn_s/dlnk,and generalized ratio of the swampland de-Sitter conjecture T'V/V'T for three different potentials.

关键词： warm inflation swampland conjectures scalar potentials inflationary parameters

RUSAS: Roman Urdu Sentiment Analysis System

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Computers, Materials & Continua 2024年第4期79卷 1463-1480页

作者： Kazim jawad Muhammad Ahmad Majdah Alvi Muhammad Bux Alvi Faculty of Computer Science and Engineering Frankfurt University of Applied SciencesFrankfurt am Main60318Germany Technical Writer and Researcher Proteus Technologies LLCIslamabad04405Pakistan Faculty of Engineering The Islamia University of BahawalpurBahawalpur63100Pakistan

Sentiment analysis, the meta field of Natural Language Processing (NLP), attempts to analyze and identify thesentiments in the opinionated text data. People share their judgments, reactions, and feedback on the internetusing various languages. Urdu is one of them, and it is frequently used worldwide. Urdu-speaking people prefer tocommunicate on social media in Roman Urdu (RU), an English scripting style with the Urdu language *** have developed versatile lexical resources for features-rich comprehensive languages, but limitedlinguistic resources are available to facilitate the sentiment classification of Roman Urdu. This effort encompassesextracting subjective expressions in Roman Urdu and determining the implied opinionated text polarity. Theprimary sources of the dataset are Daraz (an e-commerce platform), Google Maps, and the manual effort. Thecontributions of this study include a Bilingual Roman Urdu Language Detector (BRULD) and a Roman UrduSpelling Checker (RUSC). These integrated modules accept the user input, detect the text language, correct thespellings, categorize the sentiments, and return the input sentence’s orientation with a sentiment intensity *** developed system gains strength with each input experience gradually. The results show that the languagedetector gives an accuracy of 97.1% on a close domain dataset, with an overall sentiment classification accuracy of94.3%.

关键词： Roman Urdu sentiment analysis Roman Urdu language detector Roman Urdu spelling checker flask

CASIA-Iris-Africa:A Large-scale African Iris Image Database

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Machine Intelligence Research 2024年第2期21卷 383-399页

作者： jawad Muhammad Yunlong Wang Junxing Hu Kunbo Zhang Zhenan Sun School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Center for Research on Intelligent Perception and Computing National Laboratory of Pattern RecognitionInstitute of AutomationChinese Academy of SciencesBeijing 100190China

Iris biometrics is a phenotypic biometric trait that has proven to be agnostic to human natural physiological *** on iris biometrics has progressed tremendously,partly due to publicly available iris *** databases have been available to researchers that address pressing iris biometric challenges such as constraint,mobile,multispectral,synthetics,long-distance,contact lenses,liveness detection,***,these databases mostly contain subjects of Caucasian and Asian docents with very few *** many investigative studies on racial bias in face biometrics,very few studies on iris biometrics have been published,mainly due to the lack of racially diverse large-scale databases containing sufficient iris samples of Africans in the public ***,most of these databases contain a relatively small number of subjects and labelled *** paper proposes a large-scale African database named Chinese Academy of Sciences Institute of Automation(CASIA)-Iris-Africa that can be used as a complementary database for the iris recognition community to mediate the effect of racial biases on *** database contains 28717 images of 1023 African subjects(2046 iris classes)with age,gender,and ethnicity attributes that can be useful in demographically sensitive studies of *** of specific application protocols are incorporated with the database to ensure the database’s variability and *** results of some open-source state-of-the-art(SOTA)algorithms on the database are presented,which will serve as baseline *** relatively poor performances of the baseline algorithms on the proposed database despite better performance on other databases prove that racial biases exist in these iris recognition algorithms.

关键词： African iris recognition racial bias iris image database biometrics iris recognition

Recent advances in the diagnosis of drug-induced liver injury

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World Journal of Hepatology 2024年第2期16卷 186-192页

作者： Taqwa Ahmed jawad Ahmad Department of Medicine Icahn School of Medicine at Mount SinaiNew YorkNY 10029United States Department of Recanati-Miller Transplantation Institute Icahn School of Medicine at Mount SinaiNew YorkNY 10029United States

Drug-induced liver injury(DILI)is a major problem in the United States,commonly leading to hospital *** DILI is difficult as it is a diagnosis of exclusion requiring a temporal relationship between drug exposure and liver injury and a thorough work up for other *** addition,DILI has a very variable clinical and histologic presentation that can mimic many different etiologies of liver *** scoring systems can assess the probability that a drug caused the liver injury but liver biopsy findings are not part of the criteria used in these *** review will address some of the recent updates to the scoring systems and the role of liver biopsy in the diagnosis of DILI.

关键词： Drug induced liver injury Liver biopsy Diagnosis RUCAM RECAM

Sustainable bio-energy generation via the conversion of spent wash using dual chamber microbial fuel cell

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Waste Disposal and Sustainable Energy 2024年第2期6卷 219-231页

作者： Abdul Sattar Jatoi jawad Ahmed Afaque Ahmed Bhutto Muhammad Shuaib Shaikh Department of Chemical Engineering Dawood University of Engineering and Technology KarachiSindhPakistan Changzhou DUBO Polymer Co. Ltd.Changzhou 213002China Department of Basic Science and Related Studies The University of LarkanoSindhPakistan Department of Chemical Engineering Mehran University of Engineering and Technology JamshoroSindhPakistan

Microbial fuel cells(MFCs)are innovative devices that combine microbial processes with electrochemical reactions to convert organic matter in wastewater into electricity while simultaneously treating the *** such application is the treatment of spent wash,a highly polluting effluent generated from the distillery industry after crude mesh is separated into ethanol and spent *** wash,also known as distillery effluent or stillage,is a highly challenging wastewater treatment method due to its high chemical oxygen demand(COD),biological oxygen demand(BOD),and total dissolved solids(TDS).These characteristics make it a complex and polluting industrial effluent that requires specialized treatment processes to reduce its environmental impact ***,MFCs have shown promise in treating spent wash,as they can utilize the organic matter in wastewater as a fuel source for microbial growth as well as for electricity *** the treatment of spent wash,Saccharomyces cerevisiae *** used as a biocatalyst along with 340 mol/L potassium ferricyanide in the cathode chamber and 170 mol/L methylene blue in the anode as a *** tests were conducted by balancing a one-liter volume for power production from spent wash in MFC with the optimal conditions of 10%agarose,pH 8.5,300 mL/min of aeration in the cathode chamber,and 40%(in weight)substrate *** an ideal concentration,the maximum current and power density are roughly 53.41 mA/m^(2)and 72.22 mW/m^(2),*** each litre of processed spent wash,a maximum voltage of 850 mV(4.5 mA)was ***,91%of COD and BOD were removed from the effluent *** findings show that MFCs are capable of producing electricity and efficiently removing COD from wasted wash at the same time.

关键词： Microbial fuel cell Chemical oxygen demand Biological oxygen demand-Current density Power density Spent wash

Classifying Modulations in Communication Intelligence Using Deep Learning Networks

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Journal of Systems Science and Information 2024年第3期12卷 379-392页

作者： Yahya BENREMDANE Said JAMAL Oumaima TAHERI jawad LAKZIZ Said OUASKIT Department of Physics Faculty of Science Ben M'sikUniversity HassanⅡCasablanca 20100Morocco

The present research employs artificial intelligence to come up with an automatic solution for the modulation's classification of various radio signal *** a result,the work we performed involved selecting the database required for supervised deep learning,evaluating the performance of current techniques on unprocessed communication signals,and suggesting a deep learning networkbased method that would enable the classification of modulation types with the best possible ratio between computation time and *** started by examining the automatic classification models that are currently in *** light of the difficulty of forecasting in low Signal Noise Ratio(SNR)situations,we suggested an ensemble learning strategy based on adjusted Res Net and Transformer Neural Network,which is effective at extracting multi-scale features from the raw I/Q sequence ***,we produced an architecture that is simple to use and apply to communication *** architecture of this solution is strong and optimal,enabling it to determine the type of modulation with up to 95%accuracy automatically.

关键词： automatic modulation classification artificial intelligence deep learning radio frequency electronicwarfare

Linkages among leaf nutrient concentration,resorption efficiency, litter decomposition and their stoichiometry to canopy nitrogen addition and understory removal in subtropical plantation

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Ecological Processes 2024年第2期13卷 90-102页

作者： jawad Ali Shah Wenfei Liu Saif Ullah Honglang Duan Fangfang Shen Yingchun Liao Guomin Huang Jianping Wu Ministry of Education Key Laboratory for Transboundary Ecosecurity of Southwest China Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology and Institute of Biodiversity School of Ecology and Environmental Science Yunnan University Laboratory of Soil Ecology and Health in Universities of Yunnan Province Yunnan University Jiangxi Key Laboratory for Restoration of Degraded Ecosystems & Watershed Ecohydrology Nanchang Institute of Technology Key Laboratory of Forest Cultivation in Plateau Mountain of Guizhou Province Institute for Forest Resources and Environment of Guizhou College of ForestryGuizhou University

Background The prevalence of understory removal and anthropogenic nitrogen(N) deposition has significantly altered the ecological processes of forest ecosystems at both regional and global scales. However, it remains a pressing challenge to understand how N deposition and understory removal affect leaf nutrient dynamics, nutrient resorption, litter decomposition, and their linkages for better managing forest ecosystems under nutrient imbalances induced by N enrichment. To address this research gap, a field manipulation experiment was carried out in a subtropical Cunninghamia lanceolata plantation with four treatments including: control(CK), canopy N addition(CN), understory removal(UR), and canopy N addition plus understory removal(CN × UR). Green and senesced leaf N and phosphorus(P) concentrations, N and P resorption efficiencies, litter decomposition, and their correlations were *** The results revealed that the average N concentrations of green early and late leaves in UR were increased by 6.61 and 18.89% compared to CK. UR had the highest whereas CN had the lowest P concentrations in green leaves across the two sampling seasons. Following this, UR, leaf type, season, and their interactions significantly affected leaf N, P, and N:P(P < 0.05). The highest leaf N resorption(32.68%) and P resorption efficiencies(63.96%) were recorded in UR. Litter decomposition was significantly retarded in UR(P < 0.01) relative to CN. The regression analysis demonstrated that leaf nutrient status was significantly interconnected with leaf nutrient resorption efficiencies. In addition, leaf nutrient dynamics were strongly correlated with litter nutrients, indicating that both were *** These findings can deepen our knowledge of biogeochemical cycling and reveal contrasting nutrientacquisition strategies on N and P limitation in response to UR and CN. Considering the P limitation, it is important to note that P was resorbed more efficiently, illustrating a

关键词： Nutrient resorption Nitrogen deposition Litter decomposition Stoichiometry Understory removal Subtropical plantation

Investigating and predicting the role of photovoltaic, wind, and hydrogen energies in sustainable global energy evolution

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Global Energy Interconnection 2024年第4期7卷 429-445页

作者： Mahmood Swadi Dheyaa Jasim Kadhim Mohamed Salem Firas Mohammed Tuaimah Ammar Sabri Majeed Ali jawad Alrubaie Department of Electrical Engineering College of EngineeringUniversity of BaghdadBaghdad 10001Iraq Libyan Authority for Scientific Research Tripoli 80045Libya School of Electrical and Electronic Engineering Universiti Sains Malaysia(USM)Nibong Tebal 14300PenangMalaysia Continuing Education Center University of BaghdadBaghdad 10001Iraq Al-Furat Al-Awsat Technical University AL-Mussaib Technical CollegeBabylonIraq

The global shift toward next-generation energy systems is propelled by the urgent need to combat climate change and the dwindling supply of fossil *** review explores the intricate challenges and opportunities for transitioning to sustainable renewable energy sources such as solar,wind,and *** transition economically challenges traditional energy sectors while fostering new industries,promoting job growth,and sustainable economic *** transition to renewable energy demands social equity,ensuring universal access to affordable energy,and considering community *** environmental benefits include a significant reduction in greenhouse gas emissions and a lesser ecological *** study highlights the rapid growth of the global wind power market,which is projected to increase from$112.23 billion in 2022 to$278.43 billion by 2030,with a compound annual growth rate of 13.67%.In addition,the demand for hydrogen is expected to increase,significantly impacting the market with potential cost reductions and making it a critical renewable energy source owing to its affordability and zero *** 2028,renewables are predicted to account for 42%of global electricity generation,with significant contributions from wind and solar photovoltaic(PV)technology,particularly in China,the European Union,the United States,and *** developments signify a global commitment to diversifying energy sources,reducing emissions,and moving toward cleaner and more sustainable energy *** review offers stakeholders the insights required to smoothly transition to sustainable energy,setting the stage for a resilient future.

关键词： Next energy Renewable energy Sustainability Environmental benefits Economic opportunities