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Artykuły w czasopismach na temat „Open gym”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Maulana, Irvan, Komarudin Komarudin, Ridha Mustaqim, and Geraldi Novian. "Pengaruh Latihan Kognisi Terhadap Konsentrasi Atlet Intelektual Tinggi Pada Cabang Olahraga Open-Skill." Jendela Olahraga 9, no. 2 (2024): 10–20. http://dx.doi.org/10.26877/jo.v9i2.18638.

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Penelitian ini membahas mengenai latihan kognisi (life kinetik dan brain gym) terhadap konsentrasi atlet intelektual tinggi pada cabang olahraga open skill. Tujuan penelitian ini untuk mengetahui pengaruh latihan kognisi (life kinetik dan brain gym) terhadap konsentrasi atlet intelektual tinggi pada cabang olahraga open skill dan untuk mengetahui perbedaan pengaruh latihan life kinetik dan brain gym terhadap konsentrasi atlet intelektual tinggi pada cabang olahraga open skill. Metode yang digunakan dalam penelitian ini adalah metode eksperimen. Populasi yang digunakan sebanyak 48 atlet cabang

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Rudiatna, Muhammad Aditya, Komarudin Komarudin, Ira Purnamasari, and Geraldi Novian. "PENGARUH LATIHAN KOGNISI TERHADAP PERCAYA DIRI ATLET INTELEKTUAL TINGGI PADA CABANG OLAHRAGA OPEN-SKILL." JURNAL ILMU KEOLAHRAGAAN 23, no. 1 (2024): 67–76. https://doi.org/10.24114/jik.v23i1.57217.

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This research discusses cognition training (life kinetic and brain gym) on the self-confidence of high intellectual athletes in open-skill sports. This research aimed to determine the effect of cognitive training on the self-confidence of high-intellectual athletes in open-skill sports and to determine the difference in the influence of life kinetic and brain gym training on the self-confidence of high-intellectual athletes in open-skill sports. The method in this research is experimental. The population used was 48 athletes in open-skill sports. The sample consisted of 21 athletes taken using

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Kalaskar, Rohit W. "ELECTRICITY GENERATION IN OPEN GYM BY MEAN OF BYCYCLE." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44797.

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Abstract- This project explores a sustainable method of generating electricity by harnessing human kinetic energy through cycling in open gym settings. It uses a generator-equipped bicycle to convert the mechanical motion of pedaling into electrical energy, which is stored in rechargeable batteries for later use. The system provides a clean, emission-free energy source and promotes environmental awareness. It is scalable, cost-effective, and can be applied in public spaces like gyms, parks, and smart cities. By integrating renewable energy into everyday exercise, the project encourages energy

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Ferrari, Ilaria, Braunschweig Patricia Schuler, Johanna Kress, Kathrin Bretz, and Lukas Niederberger. "The open gym - an active (lunch)time offering at all-day schools." Frontiers in Sports and Active Living 7(2025), online first (2025): 1543771. https://doi.org/10.5281/zenodo.15472167.

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<em>Auszug aus dem Artikel</em><strong> </strong>Introduction: The implementation of “all-day schools” (schools with extended educational programmes) provides pupils with the opportunity to engage in a multitude of different activities and learning contexts throughout the day, in addition to their core, compulsory curriculum. These activities may include a diverse range of sports-oriented activities at regular intervals throughout the school day and are accessible to all pupils, irrespective of gender and socio-cultural background. In the context of the project, “Sport i

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Chandra, Rohan, Zayne Sprague, and Joydeep Biswas. "SOCIALGYM 2.0: Simulator for Multi-Robot Learning and Navigation in Shared Human Spaces." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 21 (2024): 23778–80. http://dx.doi.org/10.1609/aaai.v38i21.30562.

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We present Social Gym 2.0, a simulator for multi-agent navigation research. Our simulator enables navigation for multiple autonomous agents, replicating real-world dynamics in complex indoor environments, including doorways, hallways, intersections, and roundabouts. Unlike current simulators that concentrate on single robots in open spaces, Social Gym 2.0 employs multi-agent reinforcement learning (MARL) to develop optimal navigation policies for multiple robots with diverse, dynamic constraints in complex environments. Social Gym 2.0 also departs from the accepted software design standards by

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Duyun, I., T. Duyun, and L. Rybak. "MODELING THE DYNAMICS OF A DRONE GROUP USING THE OPEN GYM-PYBULLET-DRONES PLATFORM." Bulletin of Belgorod State Technological University named after. V. G. Shukhov 10, no. 5 (2025): 137–48. https://doi.org/10.34031/2071-7318-2025-10-5-137-148.

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This paper examines the simulation environment gym-pybullet-drones, an open-source platform designed for robotics specialists as a tool for modeling quadcopter dynamics and developing control algorithms. The study includes simulations of drone group dynamics to assess the functionality and stability of a PID controller. The modeling was conducted under two scenarios: (1) three drones moving in a circular trajectory at different altitudes in the same direction, and (2) two drones following a sinusoidal trajectory at different altitudes in opposite directions. In both scenarios, the influence of

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Bachmann, Justin M., Zachary W. Klint, Allison M. Jagoda, et al. "Group Enrollment and Open Gym Format Decreases Cardiac Rehabilitation Wait Times." Journal of Cardiopulmonary Rehabilitation and Prevention 37, no. 5 (2017): 322–28. http://dx.doi.org/10.1097/hcr.0000000000000255.

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Bayani, Syifa Nur, Komarudin Komarudin, Mochamad Yamin Saputra, and Geraldi Novian. "MENINGKATKAN PERCAYA DIRI ATLET INTELEKTUAL RENDAH PADA CABANG OLAHRAGA OPEN-SKILL MELALUI LATIHAN KOGNISI." Jambura Journal of Sports Coaching 6, no. 2 (2024): 84–97. http://dx.doi.org/10.37311/jjsc.v6i2.24739.

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Kondisi Psikologis merupakan hal penting yang harus di perhatikan pelatih dalam pertandingan atau latihan. Atlet seringkali mengalami gangguan psikologis. Maka dari itu kemampuan psikologis yang baik sangat diperlukan oleh atlet terutama percaya diri. Self-Confidence merupakan suatu sikap atau keyakinan atas kemampuan diri sendiri, sehingga dalam tindakannya tidak terlalu cemas dan merasa bebas untuk melakukan hal-hal yang sesuai dengan keinginannya. Dimana ke-dua treatment yang diberikan baik latihan life kinetik dan Brain Gym keduanya memerlukan kepercayaan diri yang baik. Penelitian ini ber

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Doroshenko, A. Y., and I. Z. Achour. "Application of neuro evolution tools in automation of technical control systems." PROBLEMS IN PROGRAMMING, no. 1 (March 2021): 016–25. http://dx.doi.org/10.15407/pp2021.01.016.

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Reinforced learning is a field of machine learning based on how software agents should perform actions in the environment to maximize the concept of cumulative reward. This paper proposes a new application of machine reinforcement learning techniques in the form of neuro-evolution of augmenting topologies to solve control automation problems using modeling control problems of technical systems. Key application components include OpenAI Gym toolkit for develop-ing and comparing reinforcement learn-ing algorithms, full-fledged open-source implementation of the NEAT genetic al-gorithm called Shar

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Tanaka, Daisuke, Masakazu Higuchi, Satoshi Horike, et al. "Storage and Sorption Properties of Acetylene in Jungle-Gym-Like Open Frameworks." Chemistry - An Asian Journal 3, no. 8-9 (2008): 1343–49. http://dx.doi.org/10.1002/asia.200800112.

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Muñoz, Jorge A., and Jorge A. López. "Phase Diagram of Nuclear Pastas in Neutron Star Crusts." Dynamics 4, no. 1 (2024): 157–69. http://dx.doi.org/10.3390/dynamics4010009.

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Two neural networks were trained to predict, respectively, the Euler characteristic and the curvature of nuclear pastas in neutron star crust conditions generated by molecular dynamics simulations of neutron star matter with 0.1 < x < 0.5, 0.040 fm−3 < ρ < 0.085 fm−3 (0.68 × 1014 g/cm3 < ρ < 1.43 × 1014 g/cm3), and 0.2 MeV < T < 4.0 MeV, where x is proton content, the density is ρ, and the temperature is T. The predictions of the two networks were combined to determine the nuclear pasta phase that is thermodynamically stable at a given x, ρ, and T, and a three-dimension

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Williams, Brogan Samuel. "The observed correlation between New Zealand gym member’s perceived level of technique and rate of injury – A research survey." Sri Ramachandra Journal of Health Sciences 3 (January 4, 2024): 56–59. http://dx.doi.org/10.25259/srjhs_42_2023.

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Objectives: Many in the rehabilitation and fitness community agree that technical ability, skill, or technique is of the utmost importance regarding sports performance. However, whether or not it directly impacts one’s rate of injury or ability to prevent or screen injuries is not unanimous. This study sets out to examine any correlation between a New Zealand gym member’s perception of their own lifting quality, skill, and ability and their rate of injury. The research question was, “Is there a correlation between subjective self-reported technique and the prevalence of injury?” Material and M

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Sánchez-Sáez, José Manuel, Patricia Palomo-López, Ricardo Becerro-de-Bengoa-Vallejo, et al. "Stability of Three Different Sanitary Shoes on Healthcare Workers: A Cross-Sectional Study." International Journal of Environmental Research and Public Health 16, no. 12 (2019): 2126. http://dx.doi.org/10.3390/ijerph16122126.

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Background: The main purpose of this research was to determine the stability of three different sanitary shoes on nurses with eyes open and closed with respect to barefoot condition. In addition, the secondary aim was to determine the reliability of stability measurements under these different conditions. Methods: A crossover quasi-experimental study (NCT03764332) was performed. Twenty-six nurses who wore different sanitary shoes (Eva Plus Ultralight®, Gym Step® and Milan-SCL Liso®) were evaluated with respect to barefoot condition for stability measures on the Podoprint® podobarometric and st

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Lina, Ratu Karel, and Ganesa Puput Dinda Kurniawan. "Brain Gym Exercise Give Benefit to Improve Cognitive Function among Elderly: A Systematic Review." Jurnal Ilmu dan Teknologi Kesehatan 9, no. 2 (2022): 261–71. http://dx.doi.org/10.32668/jitek.v9i2.543.

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Being elderly is potentially risk for the emerging of progressive neurodegenerative syndrome, including cognitive impairment. Various efforts have been made to minimize the negative impact. Brain gym is an alternative intervention that is widely used. A series of motion between the legs and hands employed to stimulate the brain to remain optimal. This study aims to determine whether brain gym exercise is beneficial for cognitive improvement among elderly in Indonesia. The systematic literature review was carried out from 28 May 2020 – 05 June 2020 at Semantic Scholar, Google Scholar, Garba Ruj

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CHEN, Janini, Hsin Fen CHIEN, Debora Cristina Valente FRANCATO, et al. "Effects of resistance training on postural control in Parkinson’s disease: a randomized controlled trial." Arquivos de Neuro-Psiquiatria 79, no. 6 (2021): 511–20. http://dx.doi.org/10.1590/0004-282x-anp-2020-0285.

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ABSTRACT Background: Postural instability affects Parkinson’s disease (PD) patients’ postural control right from the early stages of the disease. The benefits of resistance training (RT) for balance and functional capacity have been described in the literature, but few studies have been conducted showing its effects on PD patients’ postural control. Objective: To investigate the effects of a three-month RT intervention on static posturography (SP) measurements and clinical functional balance assessment among PD patients. Methods: Seventy-four patients were randomly assigned to a three-month RT

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Lestari, Maria Suci, Lilik Ma'rifatul Azizah, and Etik Khusniyati. "Pengaruh Brain Gym terhadap Fungsi Kognitif pada Lansia di Panti Werdha Majapahit Kabupaten Mojokerto." Jurnal Ilmiah Kesehatan Rustida 7, no. 2 (2020): 125–32. http://dx.doi.org/10.55500/jikr.v7i2.107.

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One health problem that often arises in the old population is a decline in cognitive function. Efforts to improve cognitive function in the old are brain exercises. Brain gym with edu K exercises or training and kinesis (movement) throughout the brain through renewal of certain motion patterns to open previously obstructed or closed parts of the brain. The purpose of this study was to determine the effect of brain gymnastics on improving cognitive function of old. The design used in this research is experimental pra experimental type with pretest-post test one group design approach. The popula

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Moiseyenko, O., Yu. Horchanyuk, and A. Rakovskyi. "Influence of the size of the sports ground on indicators of vestibular stability and peripheral sight of volleyball players of the student's team." Спортивні ігри (SPORT GAMES), no. 2 (12) (February 7, 2019): 41–48. https://doi.org/10.5281/zenodo.2544959.

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<strong><em>Purpose:</em></strong> <em>definition of influence of the size of the sports ground on indicators of vestibular stability and peripheral sight of volleyball players of the student’s team.</em> <strong><em>Material and methods:</em></strong> <em>theoretical analysis and generalization of scientific and methodical literature, methods of definition of functional state of visual and vestibular analyzers before and after standard vestibular loads on Barany chair, methods of mathematical statistics. Vestibular analyzer stability was determined by indicators: accuracy of definition

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Bucur, C. "Artificial intelligence driven speed controller for DC motor in series." Scientific Bulletin of Naval Academy XIV, no. 2 (2021): 83–88. http://dx.doi.org/10.21279/1454-864x-21-i2-007.

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Recently a lot of work have been done to implement artificial intelligence controllers in the field of electrical motors. This paper presents a novel speed controller, developed through Reinforcement learning techniques, applied to series dc motors. We emphasize the ease of developed controller in available off the shelf hardware for industrial use. We used the open- source Python package gym-electric-motor [1] for environment setup, pytorch framework for developing the controller and .NET for performance evaluation.

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Crockett, Matt C., and Ted Butryn. "Chasing Rx: A Spatial Ethnography of the CrossFit Gym." Sociology of Sport Journal 35, no. 2 (2018): 98–107. http://dx.doi.org/10.1123/ssj.2017-0115.

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CrossFit is a group fitness program that incorporates a variety of weightlifting and gymnastic movements performed at high intensities. While scholars have examined CrossFit’s physiological and behavioral outcomes, few studies have examined the program’s psychological and sociological characteristics. Drawing from Henning Eichberg’s work on spatial geography, this 5-month ethnographic study examined the space and place of two CrossFit gyms as an introduction to a broader discussion on CrossFit subculture and evolving discourses about the body, health, and fitness. Specifically, the gyms’ locat

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Lakshyayog. "Production of Fit City: Physical (In)Activity, Body and Everyday Space in Delhi." Social Change 53, no. 2 (2023): 226–39. http://dx.doi.org/10.1177/00490857231169973.

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The article intends to map the emerging critical geography of physical activity, everyday spaces and the body in the context of recently installed open gyms in public parks of Delhi. By employing fit city as a heuristic device, the case study of open gyms is set against a dual backdrop of policy modes of thinking through which physical (in)activity has emerged as a ‘legitimate policy issue’ and the embeddedness of physical (in)activity at an individual level. This article brings these two views in juxtaposition to each other through the lens of governmentality by proposing three logics to the

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Wang, Junwei, Zilin Zeng, and Peng Shang. "Smooth Clip Advantage PPO in Reinforcement Learning." Journal of Physics: Conference Series 2513, no. 1 (2023): 012005. http://dx.doi.org/10.1088/1742-6596/2513/1/012005.

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Abstract Deep reinforcement learning outperforms traditional methods in some domains. In this paper, we propose a novel reinforcement learning on policy (RL) algorithm, the Smoothing Clip Advantage Proximal Policy optimization Algorithm (SCAPPO), which extends the classical PPO algorithm where we exploit the smoothing properties of the sigmoid function to make full use of useful gradients. In addition, we provide more efficient gradients for policy networks effective gradients, aiming to solve the overfitting problem caused by the coupling of strategy and value functions. SCAPPO outperforms cu

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Natanael, Vanessa, and Sidhi Wiguna Teh. "KOMUNITAS UNTUK ALAM: INOVASI LIMBAH AMPAS KOPI DAN EKSTRIM GYM." Jurnal Sains, Teknologi, Urban, Perancangan, Arsitektur (Stupa) 1, no. 2 (2020): 1957. http://dx.doi.org/10.24912/stupa.v1i2.4359.

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The need for employment among the milenial generation is increasing, along with the age of milenials who are in the productive age stage. Not only that changes in the characteristics of the milenial generation are faster to enjoy and love coffee. Not only the needs of the milenial generation, but the principle of sustainable development is a consideration. The project aims as a means to open up business opportunities and foster intimacy especially for coffee lovers and nature lovers who are united through the movement "Forests That Indonesia" (HII). Where the businesses formed make waste coffe

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Pace, Romina, Orenda Loon, Deborah Chan, et al. "Preventing diabetes after pregnancy with gestational diabetes in a Cree community: an inductive thematic analysis." BMJ Open Diabetes Research & Care 8, no. 1 (2020): e001286. http://dx.doi.org/10.1136/bmjdrc-2020-001286.

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IntroductionHistorical and political factors underpin the disproportional burden of type 2 diabetes mellitus (T2DM) and gestational diabetes mellitus (GDM) in women, a harbinger of future T2DM, in Indigenous populations. There is a need for T2DM prevention strategies driven by the voices of Indigenous women. In this study, we aimed to understand the perspectives of Cree women with prior GDM living in northern Quebec, where over a quarter of pregnancies are complicated by GDM.Research design and methodsA local healthcare worker invited women with GDM in the prior 5 years to participate in semis

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Wang, Jianyang, Dongheng Zhang, Binbin Zhang, Jinbo Chen, Yang Hu, and Yan Chen. "RF-GymCare: Introducing Respiratory Prior for RF Sensing in Gym Environments." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, no. 3 (2024): 1–28. http://dx.doi.org/10.1145/3678568.

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Exercise-induced sudden death has become an increasingly serious health issue in recent years. Fortunately, respiratory monitoring can serve as an effective early prevention solution. In particular, radio frequency (RF) sensing has emerged as a promising solution due to its contactless nature and privacy preservation. Existing RF-based respiratory monitoring solutions for homes, offices, or vehicles would suffer from significant performance degradation when deployed in typical gym workouts, where respiratory and physical movements are mixed in the RF signals in an unpredictable manner, leading

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Bashir, Umaiza, and Sadia Rehman. "A Scale Development for Assessing the Drive for Muscularity Among Pakistani Bodybuilders." ANNALS OF ABBASI SHAHEED HOSPITAL AND KARACHI MEDICAL & DENTAL COLLEGE 28, no. 2 (2023): 67–73. http://dx.doi.org/10.58397/ashkmdc.v28i2.448.

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Objective: The study was devised to develop the indigenous scale of drive for muscularity among Pakistani bodybuilders Method: To explore the manifestation of drive for muscularity phenomenological approach was used, in which open ended question was asked from the 35 gym user men from different gyms. A list of the 28 most frequently reported items after initial screening was generated. For empirical validation Through 4 expert coaches of the gym were approached then pilot study was administered. In main study 211 bodybuilders were included for test the psychometric properties of indigenous sca

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Renaldy, Azriel, and Dila Nadya Andini. "PUSAT KEBUGARAN DAN KESEHATAN DI BANJARBARU." JURNAL TUGAS AKHIR MAHASISWA LANTING 12, no. 1 (2023): 55–64. http://dx.doi.org/10.20527/jtamlanting.v12i1.1786.

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Obesity and mental health disorders are closely related. Mental health disorders in obese people are usually caused by an unfavorable environment that causes obese people to often experience depression, anxiety, and post-traumatic stress disorder. By carrying out the concept of a healing environment , the Fitness and Health Center in Banjarbaru is an answer to the mental health issues experienced by the community. This area is an open space with several supporting facilities in the form of a gym center, health clinic, and healthy restaurant. The concept that is applied to the design uses 10 ph

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Henry, Robin, and Damien Ernst. "Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education." Software Impacts 9 (August 2021): 100092. http://dx.doi.org/10.1016/j.simpa.2021.100092.

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LI Yongbin, and TANG Yiting. "Research on the Influence Factors of Opening School Gym Open on the Basis of Linear Trend Test." International Journal of Digital Content Technology and its Applications 7, no. 7 (2013): 727–32. http://dx.doi.org/10.4156/jdcta.vol7.issue7.86.

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Kitaura, Ryo, Fumiyasu Iwahori, Ryotaro Matsuda, et al. "Rational Design and Crystal Structure Determination of a 3-D Metal−Organic Jungle-Gym-like Open Framework." Inorganic Chemistry 43, no. 21 (2004): 6522–24. http://dx.doi.org/10.1021/ic049005d.

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Park, Yunea, Diana Guercio, Victoria Ledon, and Colleen G. Le Prell. "Variation in Music Player Listening Level as a Function of Campus Location." Journal of the American Academy of Audiology 28, no. 04 (2017): 295–313. http://dx.doi.org/10.3766/jaaa.16011.

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Background: There has been significant discussion in the literature regarding music player use by adolescents and young adults, including whether device use is driving an increase in hearing loss in these populations. While many studies report relatively safe preferred listening levels, some studies with college student participants have reported listening habits that may put individuals at risk for noise-induced hearing loss (NIHL) if those listening habits continue over the long term. Purpose: The goal of the current investigation was to extend listening level data collection sites from urba

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Eduarda, Eugenia Dias de Jesus, Romanek Joslaine Lacerda, Fabricio Brasilino, and Morales Pedro Jorge Cortes. "Comparative Study on Initiation, Adherence and Satisfaction in Physical Exercise Programs at Academia Biotipo." ESHPA - Education, Sport, Health and Physical Activity 9, no. 2 (2025): 149–62. https://doi.org/10.5281/zenodo.15600609.

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Abstract: Introduction: Gyms offer different types of physical exercises, people exercise for different reasons, investigating these reasons is necessary, when the population is not doing enough recommended by health institutions. Objective: To compare initiation, adherence and satisfaction in physical exercise programs between 2012 and 2023 at the biotipo gym. Methods: The studied population was made up of subjects enrolled at Academia Biotipo, 135 women and 90 men, comparing data from 2012 with 2023. The validated questionnaire by Morales (2002) was applied, with open and closed questions. T

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Tantoco, Joselito G., Marc A. Levitt, Celeste M. Hollands, Guy F. Brisseau, Michael G. Caty, and Philip L. Glick. "Reduced Social Morbidity of Laparoscopic Appendectomy in Children." American Surgeon 70, no. 9 (2004): 779–82. http://dx.doi.org/10.1177/000313480407000906.

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Laparoscopic appendectomy has not been uniformly adopted by pediatric surgeons. Our children's hospital adopted laparoscopic appendectomy due to perceived benefits to patients and their families. We hypothesized that laparoscopic appendectomy in children resulted in less social morbidity than those undergoing open appendectomy. A questionnaire focused on a set of postoperative variables affecting the patient's and the family's return to normal activities. Families expressed their answers as a range of days. Five different ranges were assigned a numerical value for 10 different social morbidity

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Gonçalves, João, João Palhares, Vasco N. G. J. Soares, and Paulo Alexandre Neves. "Detection and Pose Adjustment in Physical Exercises using Computer Vision Techniques: Approaches, Challenges and Opportunities." Revista de Informática Teórica e Aplicada 31, no. 1 (2024): 11–31. https://doi.org/10.22456/2175-2745.135436.

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In the fast-paced rhythm of modern life, the regular practice of physical exercise emerges as a source of vitality and well-being. However, it is not always feasible to practice on a gym and/or pay a personal trainer to assure a correct pose on calisthenic exercises. This article aims to investigate technological and scientific advancements in the field of computer vision to enhance exercise detection and execution, with the goal of creating a system that can be used autonomously by users. To achieve this, an introduction to the fundamental concepts inherent to the subject is provided, followe

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Krishnan, Srivatsan, Behzad Boroujerdian, William Fu, Aleksandra Faust, and Vijay Janapa Reddi. "Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation." Machine Learning 110, no. 9 (2021): 2501–40. http://dx.doi.org/10.1007/s10994-021-06006-6.

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AbstractWe introduce Air Learning, an open-source simulator, and a gym environment for deep reinforcement learning research on resource-constrained aerial robots. Equipped with domain randomization, Air Learning exposes a UAV agent to a diverse set of challenging scenarios. We seed the toolset with point-to-point obstacle avoidance tasks in three different environments and Deep Q Networks (DQN) and Proximal Policy Optimization (PPO) trainers. Air Learning assesses the policies’ performance under various quality-of-flight (QoF) metrics, such as the energy consumed, endurance, and the average tr

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Balasubramanian, Sivasubramanian. "Intrinsically Motivated Multi-Goal Reinforcement Learning Using Robotics Environment Integrated with OpenAI Gym." Journal of Science & Technology 4, no. 5 (2023): 46–60. http://dx.doi.org/10.55662/jst.2023.4502.

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Sparse reward is one of the most challenging problems in reinforcement learning (RL). Hindsight Experience Replay (HER) attempts to address this issue by converting a failed experience to a successful one by relabelling the goals. In open-ended and changing environments, agents face a wide range of potential tasks that might not come with associated reward functions. Such autonomous learning agents must set their own tasks and build their own curriculum through an intrinsically motivated exploration. Because some tasks might prove easy and some impossible, agents must actively select which tas

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Skolik, Andrea, Sofiene Jerbi, and Vedran Dunjko. "Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning." Quantum 6 (May 16, 2022): 720. https://doi.org/10.22331/q-2022-05-24-720.

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Quantum machine learning (QML) has been identified as one of the key fields that could reap advantages from near-term quantum devices, next to optimization and quantum chemistry. Research in this area has focused primarily on variational quantum algorithms (VQAs), and several proposals to enhance supervised, unsupervised and reinforcement learning (RL) algorithms with VQAs have been put forward. Out of the three, RL is the least studied and it is still an open question whether VQAs can be competitive with state-of-the-art classical algorithms based on neural networks (NNs) even on simple bench

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Whited, Matthew C., Jordan M. Ellis, John Taylor Freeman, et al. "An Exploration of the Impact of the “Open Gym” Scheduling Model of Cardiovascular Rehabilitation on Completion, Attendance, and Health Outcomes." Journal of Cardiopulmonary Rehabilitation and Prevention 39, no. 1 (2019): E1—E2. http://dx.doi.org/10.1097/hcr.0000000000000312.

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Paula, Paulo Henrique Alexandre de, Fernanda Aragão Dias Lima, Kelanne Lima da Silva, Ligia Fernandes Scopacasa, Adriana Gomes Nogueira Ferreira, and Patrícia Neyva da Costa Pinheiro. "The influence of the gym in the sexual behavior of adolescents." Revista de Enfermagem UFPE on line 5, no. 9 (2011): 2099. http://dx.doi.org/10.5205/reuol.1262-12560-1-le.0509201104.

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ABSTRACT Objective: to investigate the influence of the gym in the sexual behavior of adolescents. Method: descriptive research with qualitative approach, whose sample was composed of ten male adolescents. Data collection happened in December 2009, January and February 2010, in a total of 13 visits. As instrument of data collection were used an open and semi-structured questionnaire, as well as observation and field diary. The ethical and legal aspects for research were obeyed, the project was submitted to the Research Ethics Committee (COMEPE) of the Federal University of Ceará to be assessed

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Moen, Kjersti Mordal, Knut Westlie, and Eivind Åsrum Skille. "The Changing Room in Physical Education as Cross Roads Between Fields and Curricula: The Experiences of Norwegian Students." SAGE Open 8, no. 4 (2018): 215824401881892. http://dx.doi.org/10.1177/2158244018818926.

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With a survey of physical education (PE) among a national representative sample of fifth to tenth grade students ( N = 3,226) in Norway, we investigated how students experience the changing room situation in relation to PE classes. Most students find the changing room situation unproblematic, while some report problems. A majority (59.6%) of the students disagreed with the statement “I experience that an adult is looking after us when we change/shower.” It seems PE teachers, especially the male teachers, consider the lesson finished when students move from the gym into the changing room. We qu

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Zhao, Jinduo, Zhigao Gan, Jiakai Liang, et al. "Path Planning Research of a UAV Base Station Searching for Disaster Victims’ Location Information Based on Deep Reinforcement Learning." Entropy 24, no. 12 (2022): 1767. http://dx.doi.org/10.3390/e24121767.

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Aiming at the path planning problem of unmanned aerial vehicle (UAV) base stations when performing search tasks, this paper proposes a Double DQN-state splitting Q network (DDQN-SSQN) algorithm that combines state splitting and optimal state to complete the optimal path planning of UAV based on the Deep Reinforcement Learning DDQN algorithm. The method stores multidimensional state information in categories and uses targeted training to obtain optimal path information. The method also references the received signal strength indicator (RSSI) to influence the reward received by the agent, and in

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Sudha, Y., and V. Sarasvathi. "A Model-Free Cognitive Anti-Jamming Strategy Using Adversarial Learning Algorithm." Cybernetics and Information Technologies 22, no. 4 (2022): 56–72. http://dx.doi.org/10.2478/cait-2022-0039.

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Abstract Modern networking systems can benefit from Cognitive Radio (CR) because it mitigates spectrum scarcity. CR is prone to jamming attacks due to shared communication medium that results in a drop of spectrum usage. Existing solutions to jamming attacks are frequently based on Q-learning and deep Q-learning networks. Such solutions have a reputation for slow convergence and learning, particularly when states and action spaces are continuous. This paper introduces a unique reinforcement learning driven anti-jamming scheme that uses adversarial learning mechanism to counter hostile jammers.

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Landgraf, Christian, Bernd Meese, Michael Pabst, Georg Martius, and Marco F. Huber. "A Reinforcement Learning Approach to View Planning for Automated Inspection Tasks." Sensors 21, no. 6 (2021): 2030. http://dx.doi.org/10.3390/s21062030.

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Manual inspection of workpieces in highly flexible production facilities with small lot sizes is costly and less reliable compared to automated inspection systems. Reinforcement Learning (RL) offers promising, intelligent solutions for robotic inspection and manufacturing tasks. This paper presents an RL-based approach to determine a high-quality set of sensor view poses for arbitrary workpieces based on their 3D computer-aided design (CAD). The framework extends available open-source libraries and provides an interface to the Robot Operating System (ROS) for deploying any supported robot and

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Louw, Cobus, Louwrens Labuschagne, and Tiffany Woodley. "Comparison of Reinforcement Learning Agents Applied to Traffic Signal Optimisation." SUMO Conference Proceedings 3 (September 29, 2022): 15–43. http://dx.doi.org/10.52825/scp.v3i.116.

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Traditional methods for traffic signal control at an urban intersection are not effective in controlling traffic flow for dynamic traffic demand which leads to negative environmental, psychological and financial impacts for all parties involved. Urban traffic management is a complex problem with multiple factors effecting the control of traffic flow. With recent advancements in machine learning (ML), especially reinforcement learning (RL), there is potential to solve this problem. The idea is to allow an agent to learn optimal behaviour to maximise specific metrics through trial and error. In

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TEIXEIRA, MAURO JR, RENATO SOUSA RECODER, AGUSTÍN CAMACHO, MARCO AURÉLIO DE SENA, CARLOS ARTURO NAVAS, and MIGUEL TREFAUT RODRIGUES. "A new species of Bachia Gray, 1845 (Squamata: Gymnophthalmidae) from the Eastern Brazilian Cerrado, and data on its ecology, physiology and behavior." Zootaxa 3616, no. 2 (2013): 173–89. http://dx.doi.org/10.11646/zootaxa.3616.2.6.

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A new species of Bachia of the bresslaui group, Bachia geralista sp. nov., is described from Planalto dos Gerais, an old and partially dissected plateau extending along the Cerrados of Bahia, Minas Gerais and Tocantins states, Brazil. The new species is morphologically similar to B. bresslaui, with which it has been confused; however head scalation resembles other species from sandy spots within the Cerrado (B. psamophila and B. oxyrhina). Like in B. psamophila and B. oxyrhi-na, the shovel-shaped snout of the new species is highly prominent, a typical trait of psammophilous habits in other gym

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Son, Nam Rye, and Min A. Jung. "Performance Comparison for Exercise Motion classification using Deep Learing-based OpenPose." Korean Institute of Smart Media 12, no. 7 (2023): 59–67. http://dx.doi.org/10.30693/smj.2023.12.7.59.

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Recently, research on behavior analysis tracking human posture and movement has been actively conducted. In particular, OpenPose, an open-source software developed by CMU in 2017, is a representative method for estimating human appearance and behavior. OpenPose can detect and estimate various body parts of a person, such as height, face, and hands in real-time, making it applicable to various fields such as smart healthcare, exercise training, security systems, and medical fields. In this paper, we propose a method for classifying four exercise movements - Squat, Walk, Wave, and Fall-down - wh

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Xue, Yujing, Xuefei Cai, Ru Xu, and Hao Liu. "Wing Kinematics-Based Flight Control Strategy in Insect-Inspired Flight Systems: Deep Reinforcement Learning Gives Solutions and Inspires Controller Design in Flapping MAVs." Biomimetics 8, no. 3 (2023): 295. http://dx.doi.org/10.3390/biomimetics8030295.

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Flying insects exhibit outperforming stability and control via continuous wing flapping even under severe disturbances in various conditions of wind gust and turbulence. While conventional linear proportional derivative (PD)-based controllers are widely employed in insect-inspired flight systems, they usually fail to deal with large perturbation conditions in terms of the 6-DoF nonlinear control strategy. Here we propose a novel wing kinematics-based controller, which is optimized based on deep reinforcement learning (DRL) to stabilize bumblebee hovering under large perturbations. A high-fidel

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Andry, Johanes Fernandes, and Eric Jonathan. "- Perancangan Sistem Informasi Menggunakan Kerangka Kerja TOGAF di Fitness Center." Jurnal Teknologi Dan Sistem Informasi Bisnis 6, no. 1 (2024): 144–50. http://dx.doi.org/10.47233/jteksis.v6i1.1112.

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Olahraga saat ini mempunyai dampak yang sangat besar terhadap kehidupan manusia khususnya dalam bidang kesehatan. Ada banyak gym yang tersebar di seluruh Indonesia, salah satunya adalah fitness center yang terletak di Bandung. Telah mempunyai 2 cabang, yang pertama di pusat perbelanjaan Metro Indah Mall, dan Bandung Electronic Center (BEC). Fitness center ini telah mengimplementasikan beberapa aplikasi seperti microsoft office, pemanfaatan media sosial, dan website. Namun penerapan bisnis tersebut masih belum optimal sehingga perlu dikembangkan teknologi sistem informasi perusahaan yang selara

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Supriatnoko, Supriatnoko, Anwar Mustofa, Mawarta Onida Sinaga, and Ni Made Widhi Sugianingsih. "Landscape linguistics in Depok City Village Park." Interdisciplinary Social Studies 3, no. 3 (2023): 34–41. http://dx.doi.org/10.55324/iss.v3i3.604.

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This research aims to analyse language use in Village Parks Depok City, West Java. The problem raised is the issue of language signs and cultural symbols in Village Parks area of Depok City. This research used a qualitative approach. Data was collected using the observation method through photography techniques. Photos from the photo shoot function as image data. Photos are classified into three taxonomies of sings from Polsky and Cooper (1991), namely information signs, warnings and prohibitions, and warning signs. Data were analysed using a landscape linguistic approach. From the data analys

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El-Hajj, Mohammed. "Secure and Trustworthy Open Radio Access Network (O-RAN) Optimization: A Zero-Trust and Federated Learning Framework for 6G Networks." Future Internet 17, no. 6 (2025): 233. https://doi.org/10.3390/fi17060233.

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The Open Radio Access Network (O-RAN) paradigm promises unprecedented flexibility and cost efficiency for 6G networks but introduces critical security risks due to its disaggregated, AI-driven architecture. This paper proposes a secure optimization framework integrating zero-trust principles and privacy-preserving Federated Learning (FL) to address vulnerabilities in O-RAN’s RAN Intelligent Controllers (RICs) and xApps/rApps. We first establish a novel threat model targeting O-RAN’s optimization processes, highlighting risks such as adversarial Machine Learning (ML) attacks on resource allocat

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Meiring, Rebecca M., Silmara Gusso, Eloise McCullough, and Lynley Bradnam. "The Effect of the COVID-19 Pandemic Movement Restrictions on Self-Reported Physical Activity and Health in New Zealand: A Cross-Sectional Survey." International Journal of Environmental Research and Public Health 18, no. 4 (2021): 1719. http://dx.doi.org/10.3390/ijerph18041719.

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This study describes self-reported physical activity (PA), motivation to exercise, physical and mental health and feelings towards PA during the March-May 2020 COVID-19 lockdown in New Zealand. Adults over the age of 18 years (n = 238; 80.2% female) completed the International Physical Activity Questionnaire (IPAQ), the Behavioural Regulation in Exercise Questionnaire 3, the Short Form-36 and open-ended questions about PA through an anonymous online survey. Regular exercise was undertaken by 85% of respondents prior to lockdown, but only 49.8% were able to maintain their usual level of PA. Alt

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