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Chronic opioids in gastroparesis: relationship with gastrointestinal symptoms, healthcare utilization and employment

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World Journal of Gastroenterology 2017年第40期23卷 7310-7320页

作者： asad jehangir Henry P Parkman Department of Internal Medicine Reading Health System Department of Gastro-enterology Temple University Hospital

AIM To examine the relationship of chronic scheduled opioid use on symptoms, healthcare utilization and employment in gastroparesis(Gp) patients. Methods Patients referred to our tertiary care academic center from May 2016 to July 2017, with established diagnosis or symptoms suggestive of Gp filled out the Patient Assessment of Upper GI Symptoms, abdominal pain and demographics questionnaires, and underwent gastric emptying and blood tests. They were asked about taking pain medicines and the types, doses, and duration. We used Mann Whitney U test, Analysis of Variance, Student's t test and χ2 tests where appropriate for data *** Of 223 patients with delayed gastric emptying, 158(70.9%) patients were not taking opioids(Gp NO), 22(9.9%) were taking opioids only as needed, while 43(19.3%) were on chronic(> 1 mo) scheduled opioids(Gp CO), of which 18 were taking opioids forreasons that included gastroparesis and/or stomach pain. Median morphine equivalent use was 60 mg per day. Gp CO reported higher severities of many gastrointestinal symptoms compared to Gp NO including nausea(mean ± SE of mean of 4.09 ± 0.12 vs 3.41 ± 0.12, P = 0.011), retching(2.86 ± 0.25 vs 1.98 ± 0.14, P = 0.003), vomiting(2.93 ± 0.24 vs 2.07 ± 0.15, P = 0.011), early satiety(4.17 ± 0.19 vs 3.57 ± 0.12, P = 0.004), post-prandial fullness(4.14 ± 0.18 vs 3.63 ± 0.11, P = 0.022), loss of appetite(3.64 ± 0.21 vs 3.04 ± 0.13, P = 0.039), upper abdominal pain(3.86 ± 0.20 vs 2.93 ± 0.13, P = 0.001), upper abdominal discomfort(3.74 ± 0.19 vs 3.09 ± 0.13, P = 0.031), heartburn during day(2.55 ± 0.27 vs 1.89 ± 0.13, P = 0.032), heartburn on lying down(2.76 ± 0.28 vs 1.94 ± 0.14, P = 0.008), chest discomfort during day(2.42 ± 0.20 vs 1.83 ± 0.12, P = 0.018), chest discomfort at night(2.40 ± 0.23 vs 1.61 ± 0.13, P = 0.003), regurgitation/reflux during day(2.77 ± 0.25 vs 2.18 ± 0.13, P = 0.040) and bitter/acid/sour taste in the mouth(2.79 ± 0.27 vs 2.11 ± 0.14, P = 0.028). Gp CO had a longer durati

关键词： Opioid Gastroparesis Symptoms Hospitalizations Employment

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Constraints and Opportunities for Sustainable Livelihoods and Cash Income Generation from NTFPs in the Mountains of Northern Parts of Pakistan

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云南植物研究 2010年第2期32卷 167-176页

作者： Hassan Sher jehangir Khan Kiramat Khan Hazrat Sher Muhammad Elyemeni Department of Botany King Saud University Rydah Food and Agriculture Organization of the United Nation Pakistan Office Department of Environmental Sciences COMSATS UniversityAbbottabad Campus Department of Botany Kohat University of Science and Technology

Pakistan′s forest resource base is mostly found in the mountains of the North-West Frontier Province (NWFP) supporting the livelihood of the rural poor and providing different ecological *** present study was,therefore,initiated with the aim to evaluate different constraints and opportunities for sustainable livelihoods and cash income generation from NTFPs in the mountainous area of NWFP,Pakistan during *** was collected through questionnaire and interviews during field trips.A total of 117 NTFPs species have been recorded which are being used locally for various purposes such as fuel wood,fodder,medicinal plants,vegetables,mushroom,agricultural tools making,furniture,thatching,shade,fencing/poles,ornamental purpose and animal *** majority of plants are multi-functional like Pinus wallichiana provides timber,firewood,torch wood,the leaves/small branches are used as thatch for roofing,split logs are used for fencing and the decomposed needles are collected as humus for agricultural *** products were widely used by the indigenous community supporting their *** study proposes protection and sustainable management of these valuable resources for rural livelihoods,which might be useful for developing regional strategies of sustainable management of forest resources.

关键词： Livelihood Forest resources Communities Management Unsustainable use Opportunity

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Sugarcane bagasse amendment mitigates nutrient leaching from a mineral soil under tropical conditions

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Pedosphere 2022年第6期32卷 876-883页

作者： Nan XU jehangir H.BHADHA Abul RABBANY Stewart SWANSON James MMCCRAY Yuncong LI Sarah LSTRAUSS Rao MYLAVARAPU Horticultural Sciences Department University of FloridaGainesville FL 32611(USA) Everglades Research and Education Center University of FloridaBelle Glade FL 33430(USA) Department of Soil Waterand Ecosystem SciencesUniversity of FloridaGainesville FL 32611(USA) Institute of Food and Agricultural Sciences(IFAS)Extension University of FloridaLaBelle FL 33935(USA) Agronomy Department University of FloridaBelle Glade FL 33430(USA) Department of Soil Waterand Ecosystem SciencesUniversity of FloridaHomestead FL 33031(USA) Department of Soil Waterand Ecosystem SciencesUniversity of FloridaImmokalee FL 34142(USA)

Large quantities of organic by-products are generated by the sugarcane industry during sugar extraction *** by-products may be used as soil amendments to improve soil quality,as nutrient leaching is common in mineral soils of Florida in USA due to their sandy texture and frequent rain events.A soil column study was designed to evaluate the effects of bagasse application at 85 t ha^(-1) of fresh bagasse,170 t ha^(-1) of fresh bagasse,and 170 t ha^(-1) of fresh bagasse+nitrogen(N)on the leaching potential of carbon(C),N,phosphorus(P),and potassium(K).Bagasse was incorporated within the topsoil(0-15 cm)in outdoor soil columns exposed to natural conditions,with periodical irrigation during the *** approximately 57 weeks,the distributions of C,N,P,and K were evaluated at three soil depths(i.e.,0-15,15-30,and 30-53 cm)within the soil *** organic C(TOC),N,and P in leachates decreased significantly from the soils amended with bagasse compared with the control with no bagasse and no *** on K content changes in the columns,bagasse could also be utilized as a potential source of K for ***,application of bagasse as a soil amendment might be an effective way to sustainably reutilize organic by-products while reducing concerns regarding major nutrients entering groundwater *** results of this study could assist in developing nutrient management plans of using sugarcane bagasse as a potential soil amendment in mineral soils.

关键词： nutrient leaching potential nutrient loss pore volume sandy soil soil amendment soil column sugarcane by-product

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Mass Limit of Neutron Star

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International Journal of Astronomy and Astrophysics 2014年第2期4卷 414-418页

作者： jehangir Ahmad Dar Inventor at Department of USIC/EDC University of Kashmir Hazratbal Srinagar India

The mass limit of neutron star has still remained a mystery. The existing Tolman-Oppenheimer-Volkoff (TOV) equation for calculating the limit always gives different values, by introducing different assumptions and having been predicted like 0.7 Mo, 3.2 Mo, 3.6 Mo, where Mo = 1.98 × 1030 Kg. There is a need of some better technique to adopt other than TOV relation to seek out the value. In this paper, a new relation between the mass of the collapsing star and its average density ρ′ has been derived and used to calculate the limit of neutron star. The conditions in radii between Schwarz Child’s radius and the actual radius of the collapsing star have been introduced to calculate the mass of star above which it will transform into a black hole and below it to a neutron star. A new constant, JN = 8.53707554 × 1039 N-3/2s-3Kg3 has been proposed with which if we introduce the average density of the collapsing neutron star, its mass limit can be calculated very easily. By putting the most possible mass density, which is the minimum required density for a collapsing star to transform into the black hole, it has been found that the mass limit of neutron star is quite higher than it has been assumed. The definition for black hole has also been re-defined on the basis of said radii conditions.

关键词： Black Hole Neutron Star Schwarz Child’s Radius Relation Degeneracy Pressure Event Horizon FCC and HCP Lattices and TOV Equation

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Adaptive Fuzzy Logic Controller for Harmonics Mitigation Using Particle Swarm Optimization

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Computers, Materials & Continua 2022年第6期71卷 4275-4293页

作者： Waleed Rafique Ayesha Khan Ahmad Almogren jehangir Arshad Adnan Yousaf Mujtaba Hussain Jaffery Ateeq Ur Rehman Muhammad Shafiq Department of Electrical&Computer Engineering COMSATS University Islamabad Lahore CampusLahore54000Pakistan Syed Babar Ali School of Science and Engineering Lahore University of Management SciencesLahore54000Pakistan Department of Computer Science College of Computer and Information SciencesKing Saud UniversityRiyadh11633Saudi Arabia Department of Electrical Engineering Superior UniversityLahore54000Pakistan Department of Electrical Engineering Government College UniversityLahore54000Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

An excessive use of non-linear devices in industry results in current harmonics that degrades the power quality with an unfavorable effect on power system *** this research,a novel control techniquebased Hybrid-Active Power-Filter(HAPF)is implemented for reactive power compensation and harmonic current component for balanced load by improving the Power-Factor(PF)and Total–Hormonic Distortion(THD)and the performance of a *** work proposed a soft-computing technique based on Particle Swarm-Optimization(PSO)and Adaptive Fuzzy technique to avoid the phase delays caused by conventional control ***,the control algorithms are implemented for an instantaneous reactive and active current(Id-Iq)and power theory(Pq0)in *** prevent the degradation effect of disturbances on the system’s performance,PS0-PI is applied in the inner loop which generate a required dc ***,a comparative analysis of both techniques has been presented to evaluate and validate the performance under balanced load *** presented result concludes that the Adaptive Fuzzy PI controller performs better due to the non-linearity and robustness of the ***,the gains taken from a tuning of the PSO based PI controller optimized with Fuzzy Logic Controller(FLC)are optimal that will detect reactive power and harmonics much faster and *** proposed hybrid technique minimizes distortion by selecting appropriate switching pulses for VSI(Voltage Source Inverter),and thus the simulation has been taken in SIMULINK/*** proposed technique gives better tracking performance and robustness for reactive power compensation and harmonics *** a result of the comparison,it can be concluded that the PSO-basedAdaptive Fuzzy PI system produces accurate results with the lower THD and a power factor closer to unity than other techniques.

关键词： Harmonics compensation soft computing technique hybrid fuzzy PSO based PI controller HSAPF power quality

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Force Sensitive Resistors-Based Real-Time Posture Detection System Using Machine Learning Algorithms

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Computers, Materials & Continua 2023年第11期77卷 1795-1814页

作者： Arsal Javaid Areeb Abbas jehangir Arshad Mohammad Khalid Imam Rahmani Sohaib Tahir Chauhdary Mujtaba Hussain Jaffery Abdulbasid S.Banga Department of Electrical and Computer Engineering COMSATS University IslamabadLahore CampusLahore54000Pakistan College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia Department of Electrical and Computer Engineering College of EngineeringDhofar UniversitySalalah211Oman

To detect the improper sitting posture of a person sitting on a chair,a posture detection system using machine learning classification has been proposed in this *** addressed problem correlates to the third Sustainable Development Goal(SDG),ensuring healthy lives and promoting well-being for all ages,as specified by the World Health Organization(WHO).An improper sitting position can be fatal if one sits for a long time in the wrong position,and it can be dangerous for ulcers and lower spine *** novel study includes a practical implementation of a cushion consisting of a grid of 3×3 force-sensitive resistors(FSR)embedded to read the pressure of the person sitting on ***,the Body Mass Index(BMI)has been included to increase the resilience of the system across individual physical variances and to identify the incorrect postures(backward,front,left,and right-leaning)based on the five machine learning algorithms:ensemble boosted trees,ensemble bagged trees,ensemble subspace K-Nearest Neighbors(KNN),ensemble subspace discriminant,and ensemble RUSBoosted *** proposed arrangement is novel as existing works have only provided simulations without practical implementation,whereas we have implemented the proposed design in *** results validate the proposed sensor placements,and the machine learning(ML)model reaches a maximum accuracy of 99.99%,which considerably outperforms the existing *** proposed concept is valuable as it makes it easier for people in workplaces or even at individual household levels to work for long periods without suffering from severe harmful effects from poor posture.

关键词： Posture detection FSR sensor machine learning real-time KNN

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Deep Deterministic Policy Gradient to Regulate Feedback Control Systems Using Reinforcement Learning

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Computers, Materials & Continua 2022年第4期71卷 1153-1169页

作者： jehangir Arshad Ayesha Khan Mariam Aftab Mujtaba Hussain Ateeq Ur Rehman Shafiq Ahmad Adel M.Al-Shayea Muhammad Shafiq Department of Electrical&Computer Engineering COMSATS University IslamabadLahore Campus54000Pakistan Department of Electrical Engineering Government College UniversityLahore54000Pakistan Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Controlling feedback control systems in continuous action spaces has always been a challenging ***,reinforcement learning is mainly an area of artificial intelligence(AI)because it has been used in process control for more than a ***,the existing algorithms are unable to provide satisfactory ***,this research uses a reinforcement learning(RL)algorithm to manage the control *** propose an adaptive speed control of the motor system based on depth deterministic strategy gradient(DDPG).The actor-critic scenario using DDPG is implemented to build the RL *** addition,a framework has been created for traditional feedback control systems to make RL implementation easier for control *** RL algorithms are robust and proficient in using trial and error to search for the best *** proposed algorithm is a deep deterministic policy gradient,in which a large amount of training data trains the *** the system is trained,the agent can automatically adjust the control *** algorithm has been developed using Python 3.6 and the simulation results are evaluated in the MATLAB/Simulink *** performance of the proposed RL algorithm is compared with a proportional integral derivative(PID)controller and a linear quadratic regulator(LQR)*** simulation results of the proposed scheme are promising for the feedback control problems.

关键词： Feedback control systems reinforcement learning artificial intelligence

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Mori Cortex extract ameliorates nonalcoholic fatty liver disease( NAFLD) and insulin resistance in high-fat-diet/streptozotocininduced type 2 diabetes in rats

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Chinese Journal of Natural Medicines 2018年第6期16卷 411-417页

作者： MA Li-Li YUAN Yan-Yan ZHAO Ming ZHOU Xin-Rong Tashina jehangir WANG Fu-Yan XI Yang BU Shi-Zhong Runliang Diabetes Laboratory Diabetes Research Center School of Medicine Ningbo University

Nonalcoholic fatty liver disease(NAFLD) and type 2 Diabetes Mellitus(T2 DM) are highly prevalent diseases and are closely associated, with NAFLD being present in the majority of T2 DM patients. In Asian traditional medicine, Mori Cortex is widely used for the treatment of diabetes and hyperlipidemia. However, whether it has a therapeutic effect on T2 DM associated with NAFLD is still unknown. The present study showed that the oral treatment with Mori Cortex extract(MCE; 10 g·kg-1·d-1) lowered the blood lipid levels and reversed insulin resistance(IR) in high fat-diet/streptozotocin-induced type 2 diabetes in rats. The expression levels of sterol receptor element-binding protein-1 c(SREBP-1 c) and carbohydrate-responsive element binding protein(Ch REBP), which are involved in steatosis in NAFLD rats, were measured in the liver samples. MCE decreased the protein and m RNA expression levels of SREBP-1 c and Ch REBP. In conclusion, down-regulation of SREBP-1 c and Ch REBP might contribute to the protective effect of MCE on hepatic injury and IR in the rats with T2 DM associated with NAFLD.

关键词： Mori Cortex extract Type 2 diabetes Non-alcoholic fatty liver Sterol receptor element-binding protein-It Carbohy-drate-responsive element binding protein

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Outcomes after stenting for malignant large bowel obstruction without radiologist support

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World Journal of Gastroenterology 2014年第20期20卷 6309-6313页

作者： Rao Khalid Mehmood Jody Parker Patricia Kirkbride Shakil Ahmed Fayyaz Akbar Eays Qasem Muhammad Zeeshan Ernest jehangir Department of Surgery Betsi Cadwaladr University HealthBoard Rhyl North Wales LL18 5UJ United Kingdom North Cumbria University Hospitals NHS Trusts West Cumberland Hospital Whitehaven CA28 8JX United Kingdom The Royal Liverpool and Broadgreen University Hospitals NHS Trust Prescot Street Liverpool L7 8XP United Kingdom

AIM: To assess outcomes after colonic stent insertion for obstructing colorectal malignancies performed by an endoscopist without radiologist support.

关键词： Self-expanding colonic stents Colorectal cancer Palliation Interventional radiology Endoscopy

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A Quantum Spatial Graph Convolutional Network for Text Classification

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Computer Systems Science & Engineering 2021年第2期36卷 369-382页

作者： Syed Mustajar Ahmad Shah Hongwei Ge Sami Ahmed Haider Muhammad Irshad Sohail M.Noman jehangir Arshad Asfandeyar Ahmad Talha Younas College of Computer Science and Technology Dalian University of TechnologyDalian116024China Department of Computing University of WorcesterUK Department of Information Engineering Chang’an UniversityXi’an710054China Department of Cell Biology and Genetics Shantou University Medical CollegeShantou515041China Electrical and Computer Engineering Department COMSATS University IslamabadLahore CampusPakistan School of Information&Communication Engineering Dalian University of Technology Dalian116024China Electrical and Computer Engineering Department COMSATS University IslamabadSahiwal CampusPakistan

The data generated from non-Euclidean domains and its graphical representation(with complex-relationship object interdependence)applications has observed an exponential *** sophistication of graph data has posed consequential obstacles to the existing machine learning *** this study,we have considered a revamped version of a semi-supervised learning algorithm for graph-structured data to address the issue of expanding deep learning approaches to represent the graph ***,the quantum information theory has been applied through Graph Neural Networks(GNNs)to generate Riemannian metrics in closed-form of several graph *** further,to pre-process the adjacency matrix of graphs,a new formulation is established to incorporate high order *** proposed scheme has shown outstanding improvements to overcome the deficiencies in Graph Convolutional Network(GCN),particularly,the information loss and imprecise information representation with acceptable computational ***,the proposed Quantum Graph Convolutional Network(QGCN)has significantly strengthened the GCN on semi-supervised node classification *** parallel,it expands the generalization process with a significant difference by making small random perturbationsG of the graph during the training *** evaluation results are provided on three benchmark datasets,including Citeseer,Cora,and PubMed,that distinctly delineate the superiority of the proposed model in terms of computational accuracy against state-of-the-art GCN and three other methods based on the same algorithms in the existing literature.

关键词： Text classiﬁcation deep learning graph convolutional networks semi-supervised learning GPUs performance improvements

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