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    The effect of a training program on body composition, growth hormone, insulin and insulin-like growth factor 1 in overweight female college students

    , Article Gazzetta Medica Italiana Archivio per le Scienze Mediche ; Volume 171, Issue 4 , 2012 , Pages 409-416 ; 03933660 (ISSN) Gholipour, M ; Tabrizi, A ; Sharif University of Technology
    2012
    Abstract
    Aim. The aim of this study was to determine the effect of a training program on body composition, GH, IGF-1 and insulin in overweight and obese female college students. Methods. The 17 overweight college student females divided into 2 groups: Experimental group (E) with 3 sessions per week, 6 weeks duration (N=9,Age=18.9 ± 1.3,BMI= 28.8 ± 2.6), and non-exercising control group (C) (N=8, Age=19.3 ± 1.8, BMI=26.3 ± 0.9). All measures included Vo2max, body composition, IGF-1, GH and insulin were done at baseline and following the protocol. Results. The calorie intake increased in both groups when compared to the baseline. The Vo2max increased statistically significant in E, and decreased in C.... 

    The role of hippo signaling pathway in physiological cardiac hypertrophy

    , Article BioImpacts ; Volume 10, Issue 4 , 2020 , Pages 251-257 Gholipour, M ; Tabrizi, A ; Sharif University of Technology
    Tabriz University of Medical Sciences  2020
    Abstract
    Introduction: The role of Hippo signaling pathway, which was identified by genetic studies as a key regulator for tissue growth and organ size, in promoting physiological cardiac hypertrophy has not been investigated. Methods: Fourteen male Wistar rats were randomly assigned to the exercise and control groups. The exercise group ran 1 hour per day, 5 days/week, at about 65%-75% VO2max on the motor-driven treadmill with 15ºslope, and the control group ran 15 min/d, 2 days/ week at 9 m/min (0ºinclination), throughout the eight-week experimental period. Forty-eight hours after the last session, hearts were dissected and left ventricles were weighed and stored for subsequent RT-PCR analysis.... 

    Artificial neural networks to predict 3D spinal posture in reaching and lifting activities; Applications in biomechanical models

    , Article Journal of Biomechanics ; Volume 49, Issue 13 , Volume 49, Issue 13 , 2016 , Pages 2946-2952 ; 00219290 (ISSN) Gholipour, A ; Arjmand, N ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    Spinal posture is a crucial input in biomechanical models and an essential factor in ergonomics investigations to evaluate risk of low back injury. In vivo measurement of spinal posture through the common motion capture techniques is limited to equipped laboratories and thus impractical for workplace applications. Posture prediction models are therefore considered indispensable tools. This study aims to investigate the capability of artificial neural networks (ANNs) in predicting the three-dimensional posture of the spine (S1, T12 and T1 orientations) in various activities. Two ANNs were trained and tested using measurements from spinal postures of 40 male subjects by an inertial tracking... 

    Comparison of the effects of growth hormone on acylated ghrelin and following acute intermittent exercise in two levels of obesity

    , Article Tehran University Medical Journal ; Volume 71, Issue 5 , 2013 , Pages 330-339 ; 16831764 (ISSN) Gholipour, M ; Tabrizi, A ; Sharif University of Technology
    2013
    Abstract
    Background: The prevalence of obesity has risen enormously over the past few decad-es. Both food intake (Appetite) and energy expenditure can influence body weight. Acylated ghrelin enhances appetite, and its plasma level is suppressed by growth horm-one. The present study, examines the effects of an intermittent exercise with progress-ive intensities on acylated ghrelin, appetite, and growth hormone in inactive male students with two levels of obesity. Methods: Eleven inactive males were allocated into two groups on the basis of their body mass index (BMI). Six subjects in group one, BMI= 31.18±0.92 kg/m2, and five subjects in group two, BMI= 36.94±2.25 kg/m2, ran on the treadmill with... 

    Green supply chain network design considering inventory-location-routing problem: A fuzzy solution approach

    , Article International Journal of Logistics Systems and Management ; Volume 35, Issue 4 , 2020 , Pages 436-452 Gholipour, S ; Ashoftehfard, A ; Mina, H ; Sharif University of Technology
    Inderscience Publishers  2020
    Abstract
    The growing rate of population and technological advancement have led to an increase in natural resource consumption, which has caused irreparable damage to the environment. The implementation of green supply chain management is one of the most effective ways to deal with environmental degradation. Therefore, in this paper, a bi-objective mixed integer linear programming model is developed to design a green supply chain network. In the proposed model, the possibility of customer storage, being faced with shortage, locating of distribution centres, green vehicle routing problem, split delivery, multi-depot vehicle routing problem (VRP), capacitated VRP, and uncertainty in demands will be... 

    Automated Lip-Reading robotic system based on convolutional neural network and long short-term memory

    , Article 13th International Conference on Social Robotics, ICSR 2021, 10 November 2021 through 13 November 2021 ; Volume 13086 LNAI , 2021 , Pages 73-84 ; 03029743 (ISSN) ; 9783030905248 (ISBN) Gholipour, A ; Taheri, A ; Mohammadzade, H ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2021
    Abstract
    In Iranian Sign Language (ISL), alongside the movement of fingers/arms, the dynamic movement of lips is also essential to perform/recognize a sign completely and correctly. In a follow up of our previous studies in empowering the RASA social robot to interact with individuals with hearing problems via sign language, we have proposed two automated lip-reading systems based on DNN architectures, a CNN-LSTM and a 3D-CNN, on the robotic system to recognize OuluVS2 database words. In the first network, CNN was used to extract static features, and LSTM was used to model temporal dynamics. In the second one, a 3D-CNN network was used to extract appropriate visual and temporal features from the... 

    Comparing the effects of endurance and resistance trainings on gene expression involved in protein synthesis and degradation signaling pathways of Wistar rat soleus muscle

    , Article Tehran University Medical Journal ; Volume 77, Issue 11 , 2020 , Pages 668-677 Gholipour, M ; Seifabad, M ; Asad, M. R ; Sharif University of Technology
    Tehran University of Medical Sciences  2020
    Abstract
    Background: Skeletal muscle mass, which is regulated by a balance between muscle protein synthesis and degradation, is an important factor for movement to meet everyday needs, especially in pathological conditions and aging. The purpose of the present investigation was to compare the alterations of the gene expression involved in muscle protein synthesis and degradation signaling pathways induced by two exercise training protocols. Methods: Eight weeks old Wistar rats have been assigned to the present experimental study, which was conducted from August 2018 to October 2018 at the animal laboratory of Tehran University. They were randomly divided into two resistance and endurance training... 

    A Semisupervised Classification Algorithm for Data Streams Using Decision Tree Algorithm

    , M.Sc. Thesis Sharif University of Technology Gholipour Shahraki, Ameneh (Author) ; Beigy, Hamid (Supervisor)
    Abstract
    Nowadays, living in information era has forced us to face with a great deal of problems of which the input data is received like a nonstop endless stream. Intrusion detection in networks or filtering spam emails out of legal ones are instances of such problems. In such areas, traditional classification algorithms show function improperly, thus it is necessary to make use of novel algorithms that can tackle these problems. Among classification algorithms, decision trees have significant advantages such as being independent of any parameter and acting robust against outliers or unrelated attributes. Moreover, results of a decision tree are quite easy to interpret and extract rules from.... 

    Stimulus Signal Improvement in Order to Alleviate the Symptoms of Parkinson's Disease in Rat

    , M.Sc. Thesis Sharif University of Technology Gholipour, Saman (Author) ; Vosughi Vahdat, Bijan (Supervisor)
    Abstract
    Parkinson's disease is a degenerative disorder of the central nervous system. The motor symptoms of Parkinson's disease result from the death of dopamine-generating cells in the substantia nigra. The cause of this cell death is unknown. Early in the course of the disease, the most obvious symptoms are movement-related. Some of the symptoms are: shaking, rigidity, slowness of movement and difficulty with walking and gait. Modern treatments are effective at managing the early motor symptoms of the disease, mainly through the use of levodopa and dopamine agonists. As the disease progresses these drugs eventually become ineffective and produce a complication called dyskinesia, marked by... 

    An adaptive regression tree for non-stationary data streams

    , Article Proceedings of the ACM Symposium on Applied Computing ; March , 2013 , Pages 815-816 ; 9781450316569 (ISBN) Gholipour, A ; Hosseini, M. J ; Beigy, H ; Sharif University of Technology
    2013
    Abstract
    Data streams are endless flow of data produced in high speed, large size and usually non-stationary environments. The main property of these streams is the occurrence of concept drifts. Using decision trees is shown to be a powerful approach for accurate and fast learning of data streams. In this paper, we present an incremental regression tree that can predict the target variable of newly incoming instances. The tree is updated in the case of occurring concept drifts either by altering its structure or updating its embedded models. Experimental results show the effectiveness of our algorithm in speed and accuracy aspects in comparison to the best state-of-the-art methods  

    Endurance exercise training under normal diet conditions activates skeletal muscle protein synthesis and inhibits protein degradation signaling except MuRF1

    , Article Sport Sciences for Health ; Volume 18, Issue 3 , 2022 , Pages 1033-1041 ; 18247490 (ISSN) Gholipour, M ; Seifabadi, M ; Asad, M. R ; Sharif University of Technology
    Springer-Verlag Italia s.r.l  2022
    Abstract
    Purpose: Loss of skeletal muscle mass, which depends on a balance between protein synthesis and degradation, is common in sarcopenia, cachexia, and some diseases. The purpose of this study was to investigate the alterations and interactions of protein synthesis and degradation signaling components induced by 8-week endurance exercise training with a normal diet. Methods: Two exercise (n = 8) and control (n = 7) groups of Wistar rats were kept under standard conditions. The exercise group performed 8-week endurance running at 65–70% VO2max, 30–60 min, on a treadmill with 0° slope, and the rats of the control group were maintained under identical conditions except exercise training.... 

    Role of endurance training in preventing pathological hypertrophy via large tumor suppressor (LATS) changes

    , Article Iranian Heart Journal ; Volume 20, Issue 3 , 2019 , Pages 52-59 ; 17357306 (ISSN) Tabrizi, A ; Soori, R ; Choobineh, S ; Gholipour, M ; Sharif University of Technology
    Iranian Heart Association  2019
    Abstract
    Background: One of the negative effects of cardiac sympathetic hyperactivity is pathologic hypertrophy. Recent studies have indicated that large tumor suppressor (LATS) is one of the molecules which play a critical role in cardiomyocyte apoptosis. Considering the preventive role of exercise training, we evaluated the effects of endurance training on LATS gene expression and its upstream pathway in the present study. Methods: Eighteen male Wistar rats were randomly divided into 2 groups: Endurance and control. Endurance training was performed for 8 weeks, 1 hour per day, and 6 days per week on the treadmill at a 15° inclination. Pathologic hypertrophy was induced with the injection of 3... 

    A green closed-loop supply chain network: A bi-objective mixed integer linear programming model

    , Article International Journal of Operational Research ; Volume 41, Issue 4 , 2021 , Pages 492-513 ; 17457645 (ISSN) Gholipour, S ; Salehian, F ; Lamouchi, H ; Mina, H ; Sharif University of Technology
    Inderscience Publishers  2021
    Abstract
    The increasing level of customer awareness and application of environmental laws by governments, on the one hand, and the increasing number of competitors, on the other hand, has obliged industry owners to include green activities in the design of the supply chain network. Green activities include any type of action that reduces environmental degradation. Hence, this study seeks to develop a bi-objective, mixed integer linear programming (MILP) model for designing a green supply chain network. In the proposed model, the minimisation of costs and detrimental environmental effects are discussed. LP metric method is used to solve the bi-objective model and the proposed model is run by using... 

    A review of global gas flaring and venting and impact on the environment: Case study of Iran

    , Article International Journal of Greenhouse Gas Control ; Volume 49 , June , 2016 , Pages 488–509 ; 17505836 (ISSN) Soltanieh, M ; Zohrabian, A ; Gholipour, M. J ; Kalnay, E ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    After a brief review of the global gas flaring and venting in oil industries including the emission of air pollutants and greenhouse gases and the amount of energy resources wasted, the focus is on Iran as a major oil producing and the world's third largest gas flaring country. Gas flaring is also practiced in natural gas industries, petroleum refining and petrochemical plants, although the level of emission is very low compared with emissions from oil production. The historical emission of these gases globally and Iran specifically, geographic location of emission sources, composition of gases, environmental impacts of gas flaring and the current and future projects to mitigate emissions... 

    An Algorithm for Electricity Pricing Considering Competition Among Energy Suppliers

    , M.Sc. Thesis Sharif University of Technology Gholipour, Faeze (Author) ; Rafiee, Majid (Supervisor) ; Najafi, Mehdi (Supervisor)
    Abstract
    In this study, a smart grid algorithm based on pricing and by considering a model in the electricity market is presenting, which is focused on reducing the cost of production for the supplier as well as increase the utility for the electricity consumer. The algorithm has been also modeling by considering multiple suppliers. The model has been designing by taking the home subscribers in to account and to increase their social welfare. The difference between the following developing model compared to the other ones, which are presented so far, is the consideration of the competition between suppliers and the real-time pricing conditions. In fact, in this model, the price of electricity has... 

    A review of global gas flaring and venting and impact on the environment: Case study of Iran

    , Article International Journal of Greenhouse Gas Control ; Volume 49 , 2016 , Pages 488-509 ; 17505836 (ISSN) Soltanieh, M ; Zohrabian, A ; Gholipour, M. J ; Kalnay, E ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    After a brief review of the global gas flaring and venting in oil industries including the emission of air pollutants and greenhouse gases and the amount of energy resources wasted, the focus is on Iran as a major oil producing and the world's third largest gas flaring country. Gas flaring is also practiced in natural gas industries, petroleum refining and petrochemical plants, although the level of emission is very low compared with emissions from oil production. The historical emission of these gases globally and Iran specifically, geographic location of emission sources, composition of gases, environmental impacts of gas flaring and the current and future projects to mitigate emissions... 

    State-dependent multiple access relay channel with cooperating transmitters

    , Article 2018 Iran Workshop on Communication and Information Theory, IWCIT 2018, 25 April 2018 through 26 April 2018 ; 2018 , Pages 1-6 ; 9781538641491 (ISBN) Gholipour, J ; Mirmohseni, M ; Seyfe, B ; Aref, M. R ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2018
    Abstract
    In this paper, we consider a state-dependent multiple access relay channel (MARC) with two-way cooperation at transmitters, in which the transmitters cooperate with each other over two limited-rate channels. We derive an achievable rate region for this channel by using block-Markov superposition coding, and double binning techniques. In our proposed scheme, the relay decodes only parts of the messages which are shared between the transmitters. © 2018 IEEE  

    Designing an Automatic Lip-reading System for Persian Words Using Deep Neural Networks and Implementing it on Rasa Social Robot

    , M.Sc. Thesis Sharif University of Technology Gholipour, Amir (Author) ; Taheri, Alireza (Supervisor) ; Mohammadzadeh, Hoda (Supervisor)
    Abstract
    In Iranian Sign Language (ISL), alongside the movement of fingers, the movement of the lips is also essential for to perform words completely and correctly. The purpose of current study is to provide an automated lip-reading system using deep neural networks and implement it on Rasa social robot; So that the robot can recognize a limited number of specified Persian words. To do this, we propose an automated lip-reading system based on convolutional neural networks and long short-term memories. Convolutional neural networks in extracting features from images and long short-term memories in modeling temporal dynamics have achieved good results. We have also recorded a database in Persian... 

    Measurements of the Upper Trunk and Pelvis kinematics Due to Two-handed Symmetric and Asymmetric Reach and Lifting Activities Using Inertial Sensors and Presenting a Neural Network for Posture Prediction

    , M.Sc. Thesis Sharif University of Technology Gholipour, Alireza (Author) ; Arjmand, Navid (Supervisor) ; Parnianpour, Mohammad (Supervisor)
    Abstract
    Manual material handling (MMH) activities are identified as risk factors for occupational low back pain (LBP). Task-related variables including load and posture characteristics are required as input into these models and tools for estimation of trunk external moment. Biomechanical modeling studies that aim to mathematically estimate low back loads currently need an inevitable parallel time-consuming in vivo study in an equipped laboratory to measure trunk posture under physical activities. Inertial sensors as a portable, accurate, almost inexpensive, and small device could be very helpful in order to capture the kinematic data of movement in human activities. My master thesis aims to... 

    Mixed-Halide CH3NH3PbI3−xXx (X=Cl, Br, I) perovskites: vapor-assisted solution deposition and application as solar cell absorbers

    , Article ChemPhysChem ; 2016 , Pages 2382-2388 ; 14394235 (ISSN) Sedighi, R ; Tajabadi, F ; Shahbazi, S ; Gholipour, S ; Taghavinia, N ; Sharif University of Technology
    Wiley-VCH Verlag  2016
    Abstract
    There have been recent reports on the formation of single-halide perovskites, CH3NH3PbX3 (X=Cl, Br, I), by means of vapor-assisted solution processing. Herein, the successful formation of mixed-halide perovskites (CH3NH3PbI3−xXx) by means of a vapor-assisted solution method at ambient atmosphere is reported. The perovskite films are synthesized by exposing PbI2 film to CH3NH3X (X=I, Br, or Cl) vapor. The prepared perovskite films have uniform surfaces with good coverage, as confirmed by SEM images. The inclusion of chlorine and bromine into the structure leads to a lower temperature and shorter reaction time for optimum perovskite film formation. In the case of CH3NH3PbI3−xClx, the optimum...