Building electrical consumption patterns forecasting based on a novel hybrid deep learning model by Nasser Shahsavari-Pour, Azim Heydari, Farshid Keynia, Afef Fekih, Aylar Shahsavari-Pour

“…Specifically, the proposed model comprises three key components: (i) a mutual information-based feature selection method to identify the most significant input variables influencing energy consumption; (ii) a variational mode decomposition (VMD) approach to decompose the original energy consumption signal into intrinsic mode functions (IMFs), capturing relevant trends and eliminating noise; and (iii) a long short-term memory (LSTM) neural network to perform time-series forecasting of the target energy consumption values. …”
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New Label-Free DNA Nanosensor Based on Top-Gated Metal–Ferroelectric–Metal Graphene Nanoribbon on Insulator Field-Effect Transistor: A Quantum Simulation Study by Khalil Tamersit, Abdellah Kouzou, José Rodriguez, Mohamed Abdelrahem

“…It has been observed that the feature of ferroelectric-induced gate voltage amplification using the integrated MFM structure can significantly enhance the biosensor’s sensitivity to DNA molecules, whether in terms of threshold voltage shift or drain current variation. …”
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Fractional-Order LC Three-Phase Inverter Using Fractional-Order Virtual Synchronous Generator Control and Adaptive Rotational Inertia Optimization by Junhua Xu, Chunwei Wang, Yue Lan, Bin Liu, Yingheng Li, Yongzeng Xie

“…Observations show that increasing the fractional-order of the rotor leads to a higher transient frequency variation rate. To address this, an adaptive rotational inertia control scheme is integrated into the FOVSG structure (ADJ-FOVSG), enabling real-time adjustment of inertia to suppress transient frequency fluctuations. …”
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Numerical Simulation on an Ultra-Large Seven-Ring Internal Support System Considering the Effects of Soil–Structure Interaction and Temperature by Hexiang Hu, Yu Tian, Neimeng Zheng, Xiuli Du, Haishan Guo, Zhonghua Xu

“…This work provides a reliable method for analyzing ultra-large deep foundation pits.…”
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Landscape ecological risk assessment and driving factors analysis based on optimal spatial scales in Luan River Basin, China by Nijuan Yang, Ting Zhang, Jianzhu Li, Ping Feng, Nina Yang

“…This paper figured out the optimal spatial scales of the Luan River Basin integrating response curves, area accuracy loss model, and semi-variation function under the appropriate resampling method. …”
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Drone-View Haze Removal via Regional Saturation-Value Translation and Soft Segmentation by Truong-Dong do, Le-Anh Tran, Seokyong Moon, Jio Chung, Ngoc-Phi Nguyen, Sung Kyung Hong

“…Additionally, a robust soft segmentation method that employs a morphological min-max channel is integrated into the framework. …”
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RnaXtract, a tool for extracting gene expression, variants, and cell-type composition from bulk RNA sequencing by Sophiane G. Bouirdene, Simon Gotty, Mickaël Leclercq, Charles Joly-Beauparlant, Emeric Texeraud, Steve Bilodeau, Arnaud Droit

“…Abstract RNA sequencing (RNA-seq) is a widely used method in transcriptomics research, offering insights into gene expression, variant discovery, and, when deconvoluted, the cellular composition of complex tissues. …”
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Accelerated inverse design of broadband microperforated panel absorbers based on probabilistic generative model by Zhenyang Huang, Zhongpeng Li, Jinshun Hu, Yongshui Lin, Weiguo Wu, Xiaofei Cao

“…This study proposes a deterministic autoencoder-like framework that integrates response prediction and inverse design modeling, enabling highly accurate bidirectional mapping between geometric parameters and absorption spectra. …”
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Enhancing deep learning-based landslide detection from open satellite imagery via multisource data fusion of spectral, textural, and topographical features: a case study of old lan... by Zhiyuan Ren, Junwei Ma, Jiayu Liu, Xin Deng, Guangcheng Zhang, Haixiang Guo

“…This study employs a DL classifier based on the ENVINet5 architecture, combined with a multisource integrated dataset, to detect old landslides from Sentinel-2 images. …”
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Exploring the Current Status of Risk Stratification in Hypertrophic Cardiomyopathy: From Risk Models to Promising Techniques by Alexandros Kasiakogias, Christos Kaskoutis, Christos-Konstantinos Antoniou, Stavros Georgopoulos, Dimitrios Tsiachris, Petros Arsenos, Alexandrina Kouroutzoglou, Dimitrios Klettas, Charalambos Vlachopoulos, Konstantinos Tsioufis, Konstantinos Gatzoulis

“…However, finding the optimal method for risk evaluation has been challenging, given the complexity and the wide variation in clinical phenotypes. …”
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Rainfall, air temperature, and reference evapotranspiration variability and trend and their implication for agroforestry development in the Lake Tana sub-basin of Ethiopia by Antensay Mekoya, Abebe Tesfaye, Daniel Asfaw Bekele

“…ET₀ was estimated using the FAO56 Penman–Monteith method, and statistical tools such as linear regression, coefficient of variation, and standardized rainfall anomaly were applied. …”
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Islamic Family Law Reform in Indonesia Through Supreme Court Circulars: A Maqasid Sharia Perspective by Fauzan Arrasyid, Pagar Pagar, Dhiauddin Tanjung

“…This research uses a mixed-method approach, employing both statutory and conceptual approaches. …”
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Combining diffusion and transformer models for enhanced promoter synthesis and strength prediction in deep learning by Xin Lei, Xing Wang, Guanlin Chen, Ce Liang, Quhuan Li, Huaiguang Jiang, Wei Xiong

“…The effectiveness of our method was validated using data sets of Escherichia coli and cyanobacteria promoters, showing more stable and prompt convergence and more natural-like promoters than the variational autoencoder model. …”
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Morphometrics and Growth Patterns of Squids in the North and South Coasts of Java, Indonesia by Ayu Ervinia, Charles P H Simanjuntak, Sulistiono Sulistiono, Dwi Yuni Wulandari, Zairion Zairion

“…The body size and the shape of sucker rings of squids were observed using morphometric method. Kruskall-Wallis test, Principal Component Analysis, and Spearman's correlation were performed to investigate morphometric variation and relationships. …”
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HyQ2: A Hybrid Quantum Neural Network for NextG Vulnerability Detection by Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

“…The proposed HyQ2 is integrated with graph-embedded and quantum variational circuits to validate and detect vulnerabilities from the 5G system's state transitions based on graphs extracted from log files. …”
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Study on the Upper Limit of Roof Failure in Soft Rock Roadway by Jie Zhang, Shoushi Gao, Yifeng He, Tao Yang, Tong Li, Yihui Yan, Jianping Sun

“…Field investigations were conducted to assess the condition of roadway bolts, anchor cables, and the internal damage characteristics of the surrounding rock. The upper bound method of limit analysis in plastic mechanics was utilized to construct a failure model for the surrounding rock and derive the upper limit solution of roof failure by integrating the principle of virtual work and variational extremum theorem. …”
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Development of a Model Supporting the Analysis of Costs Related to Equipment Relocation in a Manufacturing Facility by Ostowska Weronika, Stryhunivska Olena

“…To assist in decision-making and prioritization, the model applies the ABC classification method, grouping activities based on their financial impact. …”
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Measurement of inferior colliculus volume based on MRI image stacks and its relationship with age and hearing status. by Pingling Kwok, Otto Gleich, Peter Koch, Gudrun Schenkl, Nina Koch, Christopher Bohr

“…The inferior colliculus is a key nucleus in the central auditory pathway, integrating acoustic stimuli from both cochleae and playing a crucial role in sound localization. …”
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Similarities in the Low-Energy Elastic and Ps Formation Differential Cross-Sections for e⁺-H and e⁺-He Scattering by Peter Van Reeth, John W. Humberston

“…In the present work, the elastic scattering differential cross-sections (EDCSs) for e⁺-H and e⁺-He below the first excitation threshold of the target were evaluated using the Kohn variational method and found to be very similar. In both cases, the EDCS below the positronium formation threshold, i.e., for pure elastic scattering, had minimum valley features in which significant minima close to 90 degrees were found at ≈2.8 eV for H and ≈2 eV for He. …”
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Quasiparticle Cooling Algorithms for Quantum Many-Body State Preparation by Jerome Lloyd, Alexios A. Michailidis, Xiao Mi, Vadim Smelyanskiy, Dmitry A. Abanin

“…This work establishes quasiparticle cooling algorithms as a practical, robust method for many-body state preparation on near-term quantum processors.…”
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