Retraction Notice by Editor NJMR

“…Due to the journal’s transition to a new editorial management system, the submission records for this article are no longer accessible, preventing verification of the original submission details. …”
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Price Behavior and Market Integration in European Union Electricity Markets: A VECM Analysis by Cristian Valeriu Stanciu, Narcis Eduard Mitu

“…By addressing these disparities, the EU can bolster market efficiency and resilience, contributing to its overarching energy strategy and transition to sustainable energy systems.…”
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Research results of resonant vibration equipment for compaction of concrete mixtures on a physical model by V. G. Zedgenizov, S. Kh. Faizov

“…In the studied frequency range of the driving force, the maximum error is 12%. This confirms the results obtained on the mathematical model of resonant vibration equipment.…”
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Thermonuclear Superburst of MAXI J1752−457 Observed with NinjaSat and MAXI by Amira Aoyama, Teruaki Enoto, Takuya Takahashi, Sota Watanabe, Tomoshi Takeda, Wataru Iwakiri, Kaede Yamasaki, Satoko Iwata, Naoyuki Ota, Arata Jujo, Toru Tamagawa, Tatehiro Mihara, Chin-Ping Hu, Akira Dohi, Nobuya Nishimura, Motoko Serino, Motoki Nakajima, Takao Kitaguchi, Yo Kato, Nobuyuki Kawai, (NinjaSat collaboration)

“…This X-ray brightening is interpreted as a superburst in a Galactic low-mass X-ray binary, which is powered by thermonuclear burning triggered presumably by carbon ignition close to the outer crust of the neutron star. The transition between two decaying components occurred at 5.5–7.7 hr, corresponding to the thermal timescale of the burning layer. …”
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Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft Weighting by Jichang Zhang, Faisal Najeeb, Yulin Wang, Xinpei Wang, Pengfei Xu, Hammad Omer, Jianjun Zheng, Jingfeng Zhang, Sue Francis, Paul Glover, Richard Bowtell, Thomas Meersmann, Chengbo Wang

“…We designed a soft weighting matrix that smoothly transitions spokes between the target and other motion states to suppress motion blurring. …”
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THE APPLICATION OF STANDARD GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY (SGARCH) MODEL IN FORECASTING THE STOCK PRICE OF BARITO PACIFIC by Edwin Setiawan Nugraha, Celine Alvina

“…This model gives a very accurate prediction of the stock price from April 1st, 2023 – April 19th, 2023 with a mean absolute error of 78.11, root mean square error of 89.51, and mean absolute percentage error of 9.81%.…”
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A machine learning neural network architecture for the accelerating universe based modified gravity by Zulqurnain Sabir, Basma Souayeh, Zahraa Zaiour, Alyn Nazal, Mir Waqas Alam, Huda Alfannakh

“…To authenticate the accuracy, and competence of the solver, some tests have been taken using the parameters of regression, state transition, and error histogram.…”
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Waypoint-tracking Control of a Benthic AUV Based on Model-free Adaptive Control Method by Peng GAO, Lei WAN, Yu-fei XU, Guo-fang CHEN, Zi-yang ZHANG

“…And this strategy can significantly promote the smooth transition of the AUV at the waypoint switch and improve the convergence speed of the tracking error. …”
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Calibration Strategies for Optical Underwater 3D-Scanners by C. Bräuer-Burchardt, R. Ramm, M. Heinze, P. Kühmstedt, G. Notni, G. Notni

“…The presented calibration strategies, including expanded advanced pinhole camera modeling, explicit ray refraction modeling, and systematic error compensation by correction functions are described and discussed. …”
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Efficiency Enhancement and Estimation of Photovoltaic Energy Generation Using Dual-Axis Tracking Systems by Aditya Aggarwal, Himanshu Himanshu, Manav Sidana, Girish Gupta, Ishtdeep Singh Sodhi, Anamika Sharma

“…The global need to transition towards sustainable energy sources has increased the exploration of efficient methods to harness solar energy. …”
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Advanced Numerical Validation of Integrated Electrochemical-Thermal Models for PCM-Based Li-Ion Battery Thermal Management System by Mahdieh Nasiri, Hamid Hadim

“…Notable error reductions include a 78.3% decrease in the Mean Squared Error (0.477 vs. 2.202), a 53.4% reduction in the Root Mean Squared Error (0.619 vs. 1.483), and a 55.5% drop in the Mean Absolute Percentage Error. …”
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An Inverse Transient Nonmetallic Pipeline Leakage Diagnosis Method Based on Markov Quantitative Judgment by Yongmei Hao, Yifei Ma, Juncheng Jiang, Zhixiang Xing, Lei Ni, Jian Yang

“…Aiming at the problems of early leakage monitoring of urban nonmetallic pipelines and the large positioning error, an inverse transient urban nonmetallic gas pipelines leakage location method based on Markov quantitative judgment was proposed. …”
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Application of Curtain Grouting for Seepage Control in the Dongzhuang Dam: A 3D Fracture Network Modeling Approach by Ning Xia, Wen Nie, Zhenjia Yang, Yang Wu, Tuo Li

“…In under 100,000 simulations, when the allowable absolute error is set to 1, the optimal accuracy can reach 80%. …”
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Reduced-order modeling of lattice structures through iterative beam fitting and static mesoscale projection by Nicolas Grünfelder, Manmit Padhy, Alaa Armiti-Juber, Seyed Morteza Seyedpour, Navina Waschinsky, Tim Ricken

“…To address this issue, a model order reduction method (MOR) is proposed in this study, transitioning from a high-fidelity solid model to a computationally more efficient lower-fidelity beam model. …”
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Digitalisation and transformation in higher education in Bangladesh during the COVID-19 pandemic: implications for policy and leadership by M. Mahruf C. Shohel, Goutam Roy, Md. Ashrafuzzaman, Munira Azhar Urmee

“…Changes to Bangladeshi higher education policy and practice for transition and transformation to meet the needs of the twenty-first century have been long overdue. …”
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Towards an Explainable Artificial Intelligence approach for smart grid systems by Mahmoud Alfayan, Hani Hagras

“…Using a real-world dataset with variables related to operations, environment, and time, our system employs a type-2 fuzzy logic XAI based system to generate clear, interpretable predictions of energy demand. The transition from a Type-1 to a Type-2 fuzzy logic system resulted in enhanced prediction performance, as evidenced by a reduction in the root mean square error (RMSE) from 8.7734 to 5.9422, resulting in 32.2% enhancement in RMSE. …”
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From policy to practice: The mediating role of innovation in renewable energy adoption in OECD nations by Anjan Kumar Sahu, Mantu Kumar Mahalik

“…The Driscoll-Kraay standard error estimation used as a robust method confirms our baseline results derived from the system GMM method. …”
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Confirmatory factor analysis of an identity questionnaire Among autistic adolescents and young adults by Liron Lamash, Sonya Meyer

“…Challenges during the transition to adulthood affect how adolescents and young adults (AYA) with autism integrate their autism diagnoses into their self-concept. …”
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Diagnosis and clinical significance of prostate calcification using computed tomography by Seong Cheol Kim, Tae Young Lee, Woocheol Kang, Hoyoung Bae, Ji Hyung Yoon, Sungchan Park, Kyung Hyun Moon, Sang Hyeon Cheon, Taekmin Kwon

“…After applying exclusion criteria (prostate cancer, post-prostatectomy, indwelling urethral catheter, severe artifacts, and software errors), 4,805 patients were included in the final analysis. …”
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Enhancing Smart and Zero-Carbon Cities Through a Hybrid CNN-LSTM Algorithm for Sustainable AI-Driven Solar Power Forecasting (SAI-SPF) by Haytham Elmousalami, Felix Kin Peng Hui, Aljawharah A. Alnaser

“…The transition to smart, zero-carbon cities relies on advanced, sustainable energy solutions, with artificial intelligence (AI) playing a crucial role in optimizing renewable energy management. …”
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