Numerical Approach to Evaluating Performance of Borehole Heat Exchanger in Multilayered Subsurface by Li Yong, Mao Jinfeng, Zhang Xiaosong

“…The stratified subsurface, variable thermal properties, and groundwater flow would make the heat transfer of BHE more complex. Thus, the traditional homogenous model inevitably leads to some problems for the design of BHE in a layered subsurface. …”
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Syndrome-informed phenotyping identifies a polygenic background for achondroplasia-like facial variation in the general population by Michiel Vanneste, Hanne Hoskens, Seppe Goovaerts, Harold Matthews, Jay Devine, Jose D. Aponte, Joanne Cole, Mark Shriver, Mary L. Marazita, Seth M. Weinberg, Susan Walsh, Stephen Richmond, Ophir D. Klein, Richard A. Spritz, Hilde Peeters, Benedikt Hallgrímsson, Peter Claes

“…These findings suggest that both complex and Mendelian genetic variation act on the same developmentally determined axes of facial variation, providing insights into the genetic intersection of complex traits and Mendelian disorders.…”
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Framing the Open (Urban) Project: Insights from Landscape and Ecology by Jeannette Sordi

“… In the 80’s and 90’s, architects grew interested in experimenting with change over time, flexibility, indeterminacy, multiple layers and programs – what Manuel Gausa defined as an emerging open logic in architecture. …”
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Lightweight Attention-Based CNN Architecture for CSI Feedback of RIS-Assisted MISO Systems by Anming Dong, Yupeng Xue, Sufang Li, Wendong Xu, Jiguo Yu

“…In RIS-assisted communication systems, existing deep learning-based channel state information (CSI) feedback methods often suffer from excessive parameter requirements and high computational complexity. To address this challenge, this paper proposes LwCSI-Net, a lightweight autoencoder network specifically designed for RIS-assisted multiple-input single-output (MISO) systems, aiming to achieve efficient and low-complexity CSI feedback. …”
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The CVFEM approach to study the Cattaneo-Christov heat flux model using thin film Williamson hybrid nanofluid flowing over a disk by M.M. Alqarni, Abdul Samad Khan, M.A. Aljohani, Taza Gul, Emad E. Mahmoud

“…In recent years, most machines have been trained by Artificial Intelligence (AI) to obtain the most appropriate results and avoid complexity. It has wide applications in heat exchangers, coating, paints, thin layers spreading, and pipelines. …”
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Mitochondria‐Associated Endoplasmic Reticulum Membranes in Human Health and Diseases by Yong Liu, Zi‐Hui Mao, Junwen Huang, Hui Wang, Xiao Zhang, Xin Zhou, Yue Xu, Shaokang Pan, Dongwei Liu, Zhangsuo Liu, Qi Feng

“…ABSTRACT As fundamental units of life activities, cells exhibit a high degree of structural refinement and functional specialization, forming the cornerstone of life complexity. Compartmentalization within cells is pivotal for maintaining the orderly progression of intracellular biochemical processes. …”
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Low-Temperature Solution Combustion-Synthesized CuSNanoparticulated Functional Thin Films: Structural and Optoelectronic Characterization Studies by Ioannis T. Papadas, Sergey M. Pozov, Iain Hamilton, Marc Sims, Ioannis Vamvasakis, Apostolos Ioakeimidis, Gerasimos S. Armatas, Donal D. C. Bradley, Stelios A. Choulis

“…It is hereby shown that the proposed SCS process formed a stable and completely dissolved molecular ink of thiourea and copper ion complexes, crucial for obtaining the pure crystalline phase of CuS nanoparticles (NPs). …”
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Efficient deep learning-based tomato leaf disease detection through global and local feature fusion by Hao Sun, Rui Fu, Xuewei Wang, Yongtang Wu, Mohammed Abdulhakim Al-Absi, Zhenqi Cheng, Qian Chen, Yumei Sun

“…Moreover, the Local Feature Enhance Pyramid (LFEP) neck network is developed based on the CMKM module, which integrates multi-scale features across different detection layers to acquire more comprehensive local features of tomato leaf diseases, thereby significantly improving the detection performance of tomato leaf disease targets at various scales under complex backgrounds. …”
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CONDENSATE DEFORMATION AT FORMATION AND ACTIVATED AGGLOMERATION OF SPHERICAL POWDERS AT PRODUCTION OF POROUS MATERIALS by P. A. Vityaz, V. N. Kovalevskiy, A. V. Kovalevskaya, S. V. Grogorjev, A. E. Zhuk, L. P. Pilinevich, I. V. Fomihina

“…The variant of solution of the problem of porous powder materials production of spherical powders of corrosion-resistant steel with use of the complex technology combining development of nanotechnology, enabling to put on powder particles surfaces of condensate with thickness over 300 nanometers from layers of Si and mixture of elements (Si+C) or (Mo+Si) in the conditions of separate synthesis is offered.…”
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Corrosion inhibition by fruit extracts -Inhibition of corrosion of mild steel in simulated concrete pore solution prepared in sea water by an aqueous extract of apple juice- A Case... by Rajendran Susai, Abdulhameed Al-Hashem, Arjunan Krishnaveni, Little Jewelcy Arockiaraj, Gurmeet Singh, Caslav Lacnjevac, Murugan Naga Jothi, Pooviah Shanthy

“…In the presence of inhibitor system, charge transfer resistance value increases, impedance value increases, phase angle value increases whereas double layer capacitance value decreases as expected. The FTIR spectral study reveals that the protective film consists of complexes consisting of iron-active principles of the apple juice extract. …”
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Res-LK-SLR: A Residual Network Based on Large Kernels and Shapelet-Level Representations for Spatial Infrared Spot Target Discrimination by Huiying Liu, Jiarong Wang, Weijun Zhong, Haitao Nie, Xiaotong Deng, Jiaqi Sun, Ming Zhu, Ming Wei

“…However, due to the complexity of actual scenarios and the limited opportunities for acquiring IRSs, resulting in noise interference, extremely small-scale datasets with imbalanced distribution of classes and widely varying sequence lengths range from a few hundred to several thousand time steps. …”
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Engineering 2D spin networks by on-surface encapsulation of azafullerene radicals in nanotemplates by Gregor Kladnik, Luca Schio, Gregor Bavdek, Yuri Tanuma, Marion van Midden Mavrič, Erik Zupanič, Bastien Anézo, Ioanna K. Sideri, Nikos Tagmatarchis, Jannis Volkmann, Hermann A. Wegner, Andrea Goldoni, Christopher P. Ewels, Alberto Morgante, Luca Floreano, Denis Arčon, Dean Cvetko

“…Abstract We present an efficient strategy for on-surface engineering of organic metal-free supramolecular complexes with long-term spin protection. By vacuum deposition of azafullerene (C59N•) monomers on a pre-deposited template layer of [10]cycloparaphenylene ([10]CPP) nanohoops on Au(111) surface we exploit the molecular shape matching between the C59N• and [10]CPP for the azafullerene encapsulation with nanohoops in a guest-host complexation geometry. …”
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Scenari- Based Planning and Its Application in Sustainable Urban Regeneration (Case Study: Deteriorated Urban Context of Dargahan, Qeshm Island) by Ali Toobchi Sani, Mohammad Masoud, Asadollah Rabbani, Golnaz Sarami Foroshani

“…Today's world is complicated and unreliable, and tomorrow's world is expected to be much more complex and unreliable. In such a situation, understanding the nature of cities is more complicated than is thought. …”
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Challenge and strategy of 5G radio optimization by Jun ZHOU, Xiao QUAN, Jianhui MA

“…The era of network convergence,terminal and business diversification in 5G stage is coming.The radio network will have the situation of coexistence of GSM/TDD/FDD/NB/pre5G/5G/WLAN multi-mode and 900 MHz/1 800 MHz/ F/D/E/A6-band 15 frequency points.Due to the layered service carrying,the existing 4G and 5G interact with each other,which needs to be taken into account.The network structure will be unprecedented complex,and the wireless optimization work situation will be severe.The difficulties and challenges of 5G radio optimization were analyzed,and the strategies to deal with 5G radio optimization was put forward.…”
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Re-evaluating Security Barriers in Oil and Gas Facilities: Focus on Functionality, Reliability, and Robustness by Behrooz Zakizade, Elin Behnaz Davatgar

“…Assessing security risks in critical infrastructure, such as oil and gas facilities, presents a complex challenge. Various methods have been developed to address these risks, often utilizing the concept of vulnerability. …”
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Pletivo života: Teologicko-misiologické implikácie jednej metafory by Pavol Bargár

“…One of the major insights drawn from anthropological research is the acknowledgment that every human being is in each stage of their life embedded in a complex and multi-layered structure of relationships with other people as well as the world around them. …”
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Liminal Nakedness and Transformation in the story of Susanna by Angelos Kyrimis

“…By applying Turner’s theory to the narrative structure and its shifts, and by approaching Susanna’s nakedness as liminal, more complex layers of meanings and symbols emerge.…”
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A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images by Muhammad Attique Khan, Usama Shafiq, Ameer Hamza, Anwar M. Mirza, Jamel Baili, Dina Abdulaziz AlHammadi, Hee-Chan Cho, Byoungchol Chang

“…Future work will explore its adaptability to additional datasets and optimize its computational complexity for broader deployment.…”
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Efficient Recognition of the Propagated Orbital Angular Momentum Modes in Turbulences With the Convolutional Neural Network by Zikun Wang, Maxime Irene Dedo, Kai Guo, Keya Zhou, Fei Shen, Yongxuan Sun, Shutian Liu, Zhongyi Guo

“…In this paper, based on the CNN theory, we make a tradeoff between the computational complexity of the system and the efficiency of recognition by establishing a specially designed six-layer CNN structure in CPU station to efficiently achieve the recognition of OAM mode in turbulent environment through the feature extraction of the received Laguerre–Gaussian beam's intensity distributions. …”
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SMEA-YOLOv8n: A Sheep Facial Expression Recognition Method Based on an Improved YOLOv8n Model by Wenbo Yu, Xiang Yang, Yongqi Liu, Chuanzhong Xuan, Ruoya Xie, Chuanjiu Wang

“…Notably, the mAP@0.5 for normal and abnormal sheep facial expressions increased by 3.7% and 5.3%, respectively, demonstrating the method’s effectiveness in enhancing recognition accuracy under complex environmental conditions.…”
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