Research on Personal Loan Default Risk Assessment Based on Machine Learning by Liu Guangsen

“…In the present era of rapid development of the Internet and big data, the scale of personal loans and the complexity of personal credit data are growing rapidly. …”
Get full text

A Survey of Open-Source Tools for Transmission and Distribution Systems Research by Jennifer Appiah-Kubi, Alexander A. Anderson, Hayden M. Reeve

“…Increasing awareness of these available resources seeks to accelerate their broader use, leading to more efficient and standardized grid analysis. This review paper (which is part of a larger survey effort that studied over 400 tools in the transmission, distribution, buildings, and electric vehicles space) outlines selected open-source resources that have been developed in power transmission and distribution systems research. …”
Get full text

An energy-balanced multi-sensor scheduling scheme for collaborative target tracking in wireless sensor networks by Pengcheng Fu, Hongying Tang, Yongbo Cheng, Baoqing Li, Hanwang Qian, Xiaobing Yuan

“…In addition, we also design an efficient multi-sensor node collaborative method to track a single target and to timely report its state to the remote end. …”
Get full text

Using natural experiments to evaluate population health interventions: a framework for producers and users of evidence by Peter Craig, Mhairi Campbell, Manuela Deidda, Ruth Dundas, Judith Green, Srinivasa Vittal Katikireddi, Jim Lewsey, David Ogilvie, Frank de Vocht, Martin White

“…Design and planning An adaptation of the MRC/NIHR framework, for the development and evaluation of complex interventions, provides a structure for planning and conducting a natural experimental evaluation and highlights the value of applying a complex systems perspective for the evaluation. …”
Get full text

Exploring Decentralized Warehouse Management Using Large Language Models: A Proof of Concept by Tomaž Berlec, Marko Corn, Sergej Varljen, Primož Podržaj

“…In particular, it achieved higher warehouse utilization rates, more efficient resource allocation, and improved profitability in various competitive scenarios. …”
Get full text

SV-SAE: Layer-Wise Pruning for Autoencoder Based on Link Contributions by Joohong Rheey, Hyunggon Park

“…The results highlight its potential for efficient deployment in resource-constrained scenarios, where model size and inference speed are critical factors.…”
Get full text

Phthalocyanines Conjugated with Small Biologically Active Compounds for the Advanced Photodynamic Therapy: A Review by Kyrylo Chornovolenko, Tomasz Koczorowski

“…Fluorescent dye and porphyrinoid conjugates further enrich these systems by enabling imaging-guided therapy, efficient energy transfer, and dual-mode activation through pH or enzyme-sensitive linkers. …”
Get full text

Parametric Multielement Coupling Architecture for Coherent and Dissipative Control of Superconducting Qubits by G.B.P. Huber, F.A. Roy, L. Koch, I. Tsitsilin, J. Schirk, N.J. Glaser, N. Bruckmoser, C. Schweizer, J. Romeiro, G. Krylov, M. Singh, F.X. Haslbeck, M. Knudsen, A. Marx, F. Pfeiffer, C. Schneider, F. Wallner, D. Bunch, L. Richard, L. Södergren, K. Liegener, M. Werninghaus, S. Filipp

“…As systems for quantum computing keep growing in size and number of qubits, challenges in scaling the control capabilities are becoming increasingly relevant. Efficient schemes to simultaneously mediate coherent interactions between multiple quantum systems and to reduce decoherence errors can minimize the control overhead in next-generation quantum processors. …”
Get full text

CONSIDERATIONS REGARDING THE MANAGEMENT OF ORGANIZATIONAL CULTURE AT THE LEVEL OF PROFFESIONAL EMERGENCY SERVICES IN WESTERN ROMANIA by Irina VASTAG (VLĂDUŢESCU)

“…No organization can be led efficiently if it is unaware of true values. Starting from this aspect, this study aims to analyse the organizational culture of professional emergency services in the Western part of Romania, a complex, social, formal, well organized and coordinated structure. …”
Get full text

Designing a web-based virtual environment for 3D cadaster by Javad Sadidi, Sabah Motamedi, hani rezayan

“…Complexity of multi dimension developments and infrastructures intensifies the land related challenges to adopt legal laws, restrictions and responsibilities.  …”
Get full text

Organic Photoelectric Materials and Organic Photoelectric Devices Based on Smart Image Sensors by Gang Huang

“…Simple mononuclear platinum and iridium metal complexes cannot obtain white light. For OPV devices, by selecting the correct solvent to control the bulk heterojunction, it exhibits better photovoltaic performance. …”
Get full text

The impact of Parkinson’s Disease on interlimb coordination: a scoping review of gait adaptability by Morteza Farivar, Boglarka S. Huddleston, Adam C. King, Adam C. King

“…IntroductionInterlimb coordination, the synchronization of movements between limbs, is essential for efficient and stable human movement. Disruptions in coordination contribute to gait dysfunction, a common challenge for individuals with Parkinson’s disease (PD). …”
Get full text

RepVGG-MEM: A Lightweight Model for Garbage Classification Achieving a Balance Between Accuracy and Speed by Qiuxin Si, Sang Ik Han

“…As a result, this research contributes to the development of an efficient and lightweight convolutional neural network model for garbage classification.…”
Get full text

Physical Information Neural Network-Based Seepage Behavior Analysis of Earth and Rock Dams by XUE binghan, HUANG zhenhua, LEI Jianwei, FANG Hongyuan

“…This substantially enhances computational efficiency.…”
Get full text

Utilizing the Pentadehydro-Diels–Alder Reaction for Polycyclic Aromatic Compound Synthesis: Diels–Alder-Based Linker Transformation by Ying Xia, Qiaofeng Liang, Chenlong Zhu, Bingfeng Sun

“…As excellent electron-donating dienes, these linkers react with electron-deficient alkenes and alkynes, resulting in a series of highly selective cyclization products. This cascade reaction efficiently integrates the PDDA reaction with linker transformation, formally eliminating the need for permanent structural constraints. …”
Get full text

DBF‐Net: A Deep Bidirectional Fusion Network for 6D Object Pose Estimation with Sparse Linear Transformer by Xuan Fan, Tao An, Hongbo Gao, Tao Xie, Lijun Zhao, Ruifeng Li

“…A deep bidirectional fusion network is developed, DBF‐Net, achieving efficient yet accurate 6D object pose estimation. Specifically, a sparse linear Transformer (SLT) with linear computation complexity is introduced to effectively leverage cross‐modal semantic resemblance during the feature extraction stage, such that it fully models semantic associations between various modalities and efficiently aggregates the globally enhanced features of each modality. …”
Get full text

Path and Practice of Gap Management in National Parks: A Comparison Between China and the US and Inspirations Therefrom by Yun MA, Siyuan HE

“…Additionally, China may learn from the institutional tools used in the US for managing gaps on federal lands, and select and combine these tools to increase the efficiency and effectiveness of national park protection.…”
Get full text

Image captioning using bidirectional LSTM neural network by Farnaz Hoseini, Anaram Yaghoobi Notash

“…The dataset, including Flickr and MSCOCO with over 1.04 GB of data, was selected for its complexity in image captioning. Implemented in Python with TensorFlow and Cross on Google Colab, the proposed model is compared to five other LSTM-based models. …”
Get full text

Framework for the Multi-Objective Optimization of Hybrid Fuel Cell System Design and Operation by Luis M. Winkler, Alexander Kabza, Michael A. Danzer, Herbert Palm

“…Fuel cell systems (FCSs) are based on a number of components whose electrochemical and physical interactions during operation are not fully understood either by empirical experience or by extensive modeling. The related FCS complexity limits technological applications and success. …”
Get full text

Reservoir direct feedback alignment: deep learning by physical dynamics by Mitsumasa Nakajima, Yongbo Zhang, Katsuma Inoue, Yasuo Kuniyoshi, Toshikazu Hashimoto, Kohei Nakajima

“…Abstract The rapid advancement of deep learning has motivated various analog computing devices for energy-efficient non-von Neuman computing. While recent demonstrations have shown their excellent performance, particularly in the inference phase, computation of training using analog hardware is still challenging due to the complexity of training algorithms such as backpropagation. …”
Get full text