Author Correction: AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples by Hyeonseong Jeon, Junhak Ahn, Byunggook Na, Soona Hong, Lee Sael, Sun Kim, Sungroh Yoon, Daehyun Baek

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Federated Digital Twins: A Scheduling Approach Based on Temporal Graph Neural Network and Deep Reinforcement Learning by Young-Jin Kim, Hanjin Kim, Beomsu Ha, Won-Tae Kim

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The shift from new build to regeneration. Can the New Bauhaus transform architecture and design to meet global challenges? by David Ness

“…After arguing that the Green Deal does not go far enough to achieve the dramatic transformation required, a new agenda is put forward where needs are met with less consumption and carbon, less new building, and more regeneration. …”
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Utilization of Buildings’ Foundations for a Seasonal Thermal Energy Storage Medium to Meet Space and Water Heat Demands by Ammar Alkhalidi, Hamzah Al Khatba, Mohamad K. Khawaja

“…Seasonal thermal energy storage (STES) can be utilized to cover a portion or meet the whole space and water heat demands in residential and commercial buildings. …”
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Classification of Buried Objects From Ground Penetrating Radar Images by Using Second-Order Deep Learning Models by Douba Jafuno, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller

“…IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing…”
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An approach for accurate identification and monitoring of species in mangrove forests based on multi-source spectral data and deep learning by Monterrubio-Martínez Erandi, Trujillo-Acatitla Rubicel, Tuxpan-Vargas José, Moreno-Casasola Patricia

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Author Correction: Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning by Zhaoxiang Cai, Sofia Apolinário, Ana R. Baião, Clare Pacini, Miguel D. Sousa, Susana Vinga, Roger R. Reddel, Phillip J. Robinson, Mathew J. Garnett, Qing Zhong, Emanuel Gonçalves

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Testing of artificial feed by using raw material from Euthynnus affinis waste flour for gourami (Osphronemus gourami) by Nazlia Suraiya, Ismarica Ismarica, Alfarizy Muhammad, Aufari Hatfan, Syauqi Muhammad, Purnama Febri Suri, Rezvani Aprita Ika, Muhardina Virna

“…Utilization of fish based-waste as feed is a very efficient alternative in reducing pollution and environmental damage, and meeting the nutritional needs of fish growth. …”
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Mechanical Properties of High-Strength High-Performance Reinforced Concrete Shaft Lining Structures in Deep Freezing Wells by Shilong Peng, Chuanxin Rong, Hua Cheng, Xiaojian Wang, Mingjing Li, Bin Tang, Xuemei Li

“…As coal resources must be mined from ever deeper seams, high-strength, high-performance concrete shaft linings are required to resist the load of the soil surrounding the deep freezing well. In order to determine the optimal concrete mix for the unique conditions experienced by such high-strength high-performance reinforced concrete shaft lining (HSHPRCSL) structures in deep freezing wells, an experimental evaluation of scaled HSHPRCSL models was conducted using hydraulic pressure load tests. …”
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Enhanced early prediction of Li-ion battery degradation using multicycle features and an ensemble deep learning model by Meilia Safitri, Teguh Bharata Adji, Adha Imam Cahyadi

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Growth, feed conversion and retention, and proximate of eel juvenile treated by immersion of recombinant giant grouper growth hormone by Boyun Handoyo, . Alimuddin, Nur Bambang Priyo Utomo

“… This study was aimed to determine the immersion dose of recombinant giant grouper growth hormone (rElGH) to increase growth of eel juvenile (glass eel). After shock salinity treatment (NaCl 3% for 2 min), glass eel were immersed in water containing 0.9% NaCl, 0.01% bovine serum albumin, and different of dose of rElGH (0, 0.12, 1.2, 12 and 120 mg/L). …”
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Flat feet occurrence among young school-age children and its association with body mass index values by Sona Jandova

“…BMI may be related to the prevalence of flat feet. This study aims to observe the occurrence of flat feet in young children and determine its association with BMI. …”
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FE-YOLO: An Efficient Deep Learning Model Based on Feature-Enhanced YOLOv7 for Microalgae Identification and Detection by Gege Ding, Yuhang Shi, Zhenquan Liu, Yanjuan Wang, Zhixuan Yao, Dan Zhou, Xuexiu Zhu, Yiqin Li

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Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas by P. Casas-Gómez, J.F. Torres, J.C. Linares, A. Troncoso, F. Martínez-Álvarez

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Extensive Intracardiac and Deep Venous Thromboses in a Young Woman with Heparin-Induced Thrombocytopenia and May-Thurner Syndrome by Yekaterina Kim, Daniel C. Choi, Ali N. Zaidi

“…A 38-year-old woman with a history of recurrent deep venous thromboses (DVTs) on chronic anticoagulation presented with acute left leg swelling. …”
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Analysis of Lateral Displacement Law of Deep Foundation Pit Support in Soft Soil Based on Improved MSD Method by Gang Lei, Xiaonan Gong

“…Moreover, the construction of large deep foundation pit in soft soil often faces greater risks and challenges as the support structure deforms more easily and unpredictably. …”
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Deep Learning Model for CS-Based Signal Recovery for IRS-Assisted Near-Field THz MIMO System by Vaishali Sharma, Prakhar Keshari, Sanjeev Sharma, Kuntal Deka, Ondrej Krejcar, Vimal Bhatia

“…IEEE Open Journal of Vehicular Technology…”
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Research on Deformation and Failure Evolution of Deep Rock Burst Drivage Roadway Surrounding Rock under Dynamic Disturbance by Xinggang Xu, Hao Feng, Lishuai Jiang, Tao Guo, Xingyu Wu, Zequan Sun

“…FLAC3D was used to study the distribution evolution law of displacement, plastic zone, and stress field in the whole process of “Roadway Drivage-Deformation and Failure-Instability and Disaster” in the surrounding rock of deep roadway. The research results show that under the conditions of high stress and dynamic load disturbance, the surrounding rock deformation and failure are significant during the connection of the thick-top-coal roadway in deep, the roof is the most, the two ribs are the second, and the roadway top-coal is in an “inverted trapezoid” sag pattern. …”
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Study on Cold Chain Transportation Model of Fruit and Vegetable Fresh-Keeping in Low-Temperature Cold Storage Environment by Xiaolong Jiao, Wen Xu, Lintong Duan

“…Due to the limitation of later stage intelligent algorithms, the fruit and vegetable fresh-keeping cold chain transportation scheme did not meet the expectation and could not achieve the dual objectives of the shortest time and the lowest consumption at the same time. …”
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Quantum Molecular Dynamics Approach to Understanding Interactions in Betaine Chloride and Amino Acid Natural Deep Eutectic Solvents by Eudes Eterno Fileti, Henrique de Araujo Chagas, Guilherme Colherinhas, Thaciana Malaspina

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