PRE-UNIVERSITY ENGINEERING TRAINING IN INTERNATIONAL MULTI-PARTNER EDUCATIONAL ENVIRONMENT by M. V. ZHURAVLEVA, L. V. OVSIENKO, N. Yu. BASHKIRTSEVA, L. R. IBRASHEVA, O. P. EMELYANOVA

“…An important factor is the implementation of training in an international multi-partner scientific and educational environment, which involves the international production companies, international profile network associations and the international academic community in the educational process. …”
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FACTORS RELATED TO TWO-WHEELED SAFETY RIDING BEHAVIOR AT PRODUCTION PLANNING WORKERS AT PT. YUASA BATTERY INDONESIA IN 2021 by Siti Rachmawati Khoirunnadhira Irawan, Eka Cempaka Putri, Decy Situngkir, Fierdania Yusvita, Mirta Dwi Rahmah Rusdy

“…Data collection used primary and secondary data obtained from questionnaires and companies regarding the number and causes of traffic accidents that occurred to workers as well as records related to the implementation of safety riding training. …”
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A Novel Hybrid Model for Credit Risk Assessment of Supply Chain Finance Based on Topological Data Analysis and Graph Neural Network by Kosar Farajpour Mojdehi, Babak Amiri, Amirali Haddadi

“…Supply Chain Finance (SCF) in the energy sector has emerged as a critical area of focus due to the need for sustainable and efficient financial solutions to manage the complex interactions between various stakeholders, including suppliers, financial institutions, and energy companies. This study proposes a novel hybrid Topological Data Analysis (TDA) and Graph Neural Network (GNN) to optimize credit risk assessment in SCF. …”
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Impact of Physical and Psychological Strain on Work-Related Musculoskeletal Disorders: A Cross-Sectional Study in the Construction Industry by Abdul Kadir MSc, Riza Yosia Sunindijo PhD, Baiduri Widanarko PhD, Dadan Erwandi PhD, Sjahrul M. Nasri PhD, Bangga Agung Satrya MKM, Stevan Deby Anbiya Muhamad Sunarno PhD, Hardy Atmajaya MT, Popy Yuniar PhD, Tubagus Dwika Yuantoko MKKK, Lailatul Qomariyah PhD, Cynthia Febrina Maharani PhD

“…This cross-sectional study used a purposive sampling technique to gather quantitative data from 409 respondents working in four construction companies through structured questionnaires. Data collection tools included the Copenhagen Psychosocial Questionnaire III (COPSOQ III), the K10 scale for psychosocial distress, and the Nordic Body Map for musculoskeletal symptoms. …”
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A Web-Based Platform to Collect Data from ESRD Patients Undergoing Dialysis: Methods and Preliminary Results from the Brazilian Dialysis Registry by Jocemir R. Lugon, Pedro A. Gordan, Fernando S. Thomé, Antonio A. Lopes, Yoshimi J. A. Watanabe, Carmen Tzanno, Ricardo C. Sesso

“…The methods and initial results of a web-based platform to collect data from patients receiving maintenance dialysis in Brazil are reported. Methods. Companies providing management software for dialysis centers adapted their system to comply with a formulary of the Brazilian Society of Nephrology. …”
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Creating incentives for petrochemistry development in sanctioned economy by V. Ya. Afanasiev, O. V. Baykova, O. I. Bolshakova, A. A. Romantsov

“…Priority areas of oil and gas companies’ activity necessary for petrochemistry accelerated development, positive examples of cooperation in the field of gas processing and gas chemistry, as well as industrial clusters creation have been presented. …”
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Digital mental health treatment implementation playbook: successful practices from implementation experiences in American healthcare organizations by David C. Mohr, David C. Mohr, Alexandra L. Silverman, Alexandra L. Silverman, Soo Jeong Youn, Soo Jeong Youn, Soo Jeong Youn, Patricia Areán, Andrew Bertagnolli, Jenna Carl, Tarolyn Carlton, Neha Chaudhary, David Cooper, Shelly DeVito, Stephanie Eaneff, Megan Flom, Valerie L. Forman-Hoffman, Leanna Fortunato, Karen Franchino, Andrea K. Graham, Heidi Greenberger, Jessica Hauflaire, Benjamin Kaveladze, Rachel Kornfield, Kaylee P. Kruzan, Eric Kuhn, Eric Kuhn, Carolyn MacIver, Frederick Muench, Regina Misch, Adrian Ortega, Lisa Palko, Derek Richards, Derek Richards, Louisa Salhi, Jonathan Schremp, Eva Szigethy, Eva Szigethy, Nathan Tatro, Bethany A. Teachman, Bethany A. Teachman, Trina Histon

“…To address this, the Society for Digital Mental Health established a DMHT Implementation Workgroup, with the goal of developing a DMHT Playbook that describes current best practices in DMHT implementation in American healthcare settings.MethodsThe workgroup was comprised of representatives from 7 healthcare systems and 10 DMHT companies that have conducted implementations, along with other stakeholders and technical experts. …”
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Counterterrorism Planning in the Shipping Industry Leveraging Competitive Intelligence by Anastasios-Nikolaos KANELLOPOULOS, Anthony IOANNIDIS

“…The authors anticipate that using CI will help stakeholders, including policymakers, Shipping companies, and security agencies, adopt more proactive and effective measures against emerging threats. …”
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Process industry disrupted: AI and the need for human orchestration by M.W. Vegter, V. Blok, R. Wesselink

“…According to EU policy makers, the introduction of AI within Process Industry will help big manufacturing companies to become more sustainable. At the same time, concerns arise about future work in these industries. …”
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Designing innovation ecosystems for biointelligent value creation – Identification of promising technology fields and pioneer countries by Michael Rentschler, Silja Hohmann, Philipp Heuermann, Livio Valenti, Robert Miehe

“…This requires strategic and interdisciplinary partnerships between research institutions, governmental organizations and companies.…”
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Fathers’ perceptions of factors associated with the attainment of paternity leave: a qualitative study by Naoyuki Mita, Yu Par Khin, Nobutoshi Nawa, Yui Yamaoka, Takeo Fujiwara

“…We also conducted key informant interviews with four supervisors at companies to understand their opinions on paternity leaves and ensure that the implications of this study are relevant at workplaces.MethodsThematic analysis was adopted to analyse the data. …”
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Can Employee Training Stabilise the Workforce of Frontline Workers in Construction Firms? An Empirical Analysis of Turnover Intentions by Wenyan Yao, Mohd Anuar Arshad, Qinjie Yang, Jianping Tan

“…This high mobility not only increases recruitment and training costs for companies but also seriously affects the quality, safety, and productivity of construction projects. …”
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India’s Policies in Support of the New Space by I. V. Danilin, E. P. Shavlay

“…The latter is not limited to established large companies but includes small and medium-sized innovative enterprises, forming the so-called New Space. …”
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Applying System Dynamics of Discrete Supported Track to Analyze the Rail Corrugation Causation on Curved Urban Railway Tracks by Xianxian Yin, Xiukun Wei, Haichao Zheng

“…Urban rail corrugation on curved tracks with small radii causes strong howling during operation, which has been bothering subway operating companies for many years. Therefore, revealing its causes and growth is important for the comfort and safety of subway operation. …”
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Physical and Mechanical Properties of Cemented Ash-Based Lightweight Building Materials with and without Pumice by Neslihan Doğan-Sağlamtimur, Adnan Güven, Ahmet Bilgil

“…Pumice, cements (CEM I- and CEM II-type), waste fly and bottom ashes (IFA, GBA, and BBA) supplied from international companies were used to produce lightweight building materials, and physical-mechanical properties of these materials were determined. …”
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Chaotic evolutionary multi-objective optimization for multivariate pair trading in tehran stock exchange: the distance approach by Hossein Nikoo, Jamal Barzgari khanagha, Hamid Reza Mirzaei

“…In this research, a method is presented to create multivariate pair combinations by considering contradictory multiple goals in stock pair trading.Methodology: In this study, the statistical sample is limited to the top 30 companies listed on the Tehran Stock Exchange due to the need for high-frequency transactions. …”
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A Comparative Analysis of Business Machine Learning in Making Effective Financial Decisions Using Structural Equation Model (SEM) by A. V. L. N. Sujith, Naila Iqbal Qureshi, Venkata Harshavardhan Reddy Dornadula, Abinash Rath, Kolla Bhanu Prakash, Sitesh Kumar Singh

“…This study is focused on addressing the application of machine learning in making the effective financial decision making among the companies; the application of ML has emerged as a critical technology which is being applied in the current competitive market, and it has offered more opportunities to the business leaders in leveraging the large volume of data. …”
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Impact of COVID-19 large scale restriction on environment and economy in Indonesia by R.E. Caraka, Y. Lee, R. Kurniawan, R. Herliansyah, P.A. Kaban, B.I. Nasution, P.U. Gio, R.C. Chen, T. Toharudin, B. Pardamean

“…This research also shows that during the COVID-19 pandemic there are severe economic losses, industry, companies, and real disruptions are severe for all levels of life due to large scale restrictions.…”
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Success and failure rates of new food and non-food products introduced on the market by Ireneusz P. Rutkowski

“…The aim of the paper is to present the real market eff ects of new products, success and failure rates, from the point of view of food and non-food companies representing various industries. The research measures in the field of marketing and sales eff ects of new products are also proposed. …”
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The government of Hugo Chavez in the political system of modern Venezuela: achievements and failures by G. E. Ludena Lopez, N. A. Omelchenko

“…Another example of different approaches that blur the objective assessment of the activities of the Chavez government are the attitudes of “social prioritization” supporters, who believe that the activities of nationalized companies in strategic industries should be primarily subordinated to social goals and national development, giving priority to “pragmatic decision-making”, which prioritizes the goals of productivity and efficiency within the Chavista movement. …”
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