SiP-Based SSBI Cancellation for OFDM by Mingyang Lyu, Wei Shi, Leslie Rusch

“…We propose for the first time to use a silicon photonics (SiP) solution for a passive optical network to both reduce signal-signal beat interference (SSBI) and recuperate a part of the downlink carrier for use in the uplink. …”
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Neospora caninum calcium-dependent protein kinase 1 is an effective drug target for neosporosis therapy. by Kayode K Ojo, Molly C Reid, Latha Kallur Siddaramaiah, Joachim Müller, Pablo Winzer, Zhongsheng Zhang, Katelyn R Keyloun, Rama Subba Rao Vidadala, Ethan A Merritt, Wim G J Hol, Dustin J Maly, Erkang Fan, Wesley C Van Voorhis, Andrew Hemphill

“…Further experiments are needed to determine the PK, optimal dosage, and duration for effective treatment in cattle and dogs, but these data demonstrate proof-of-concept for BKIs, and 1294 specifically, for therapy of bovine and canine neosporosis.…”
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Research on Construction Sequencing and Deformation Control for Foundation Pit Groups by Ziwei Yin, Ruizhe Jin, Shouye Guan, Zhiwei Chen, Guoliang Dai, Wenbo Zhu

“…For adjacent foundation pit groups, simultaneous excavation achieves minimum displacement interference, while phased construction requires prioritizing large-section excavation first to mitigate cumulative deformations through optimized stress transfer. …”
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Joint power allocation and subcarrier assignment for device to device in 5G time division duplex networks by Pan Zhao, Lei Feng, Peng Yu, Wenjing Li, Xuesong Qiu

“…The former is to develop optimal power allocation for each device-to-device pair and each cellular user, with the constraints of maximum power and quality of service. …”
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Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink by Xinyu Feng, Mohammed El-Hajjar, Chao Xu, Lajos Hanzo

“…In the LS-MU-MIMO-UL scenario considered, the proposed system uses optimal Maximum Likelihood (ML) and Minimum Mean Square Error (MMSE) detectors as benchmarks for comparison with the proposed MP-based detectors. …”
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The bactericidal efficacy of two antiseptics against common pathogens associated with catheter-associated urinary tract infection in the elderly under divergent conditions: A labor... by Li Shen, Wenwen Sun, Ke Zhou, Yunling Zhang, Yi Lei, Chunping Ni

“…Employing appropriate disinfection strategies can prevent between 17% and 69% of catheter-associated urinary tract infection (CAUTI) cases. However, the optimal antiseptics and their conditions of use (temperature, concentration, and exposure time) remain unclear. …”
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SIGNETS: Neural Network Architectures for m-QAM Soft Demodulation by Aravind R. Voggu, Kanish R, Nishith Akula, Lohitaksh Maruvada, Takanori Shimizu, Madhav Rao

“…Through systematic Neural Architecture Search and Hyper-parameter optimization, we develop a family of Convolutional Neural Network architectures that demonstrate robust performance across challenging channel conditions, including multi-path fading, inter-symbol interference, and non-linear distortions, without requiring explicit channel estimation. …”
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Intelligent Health Monitoring in 6G Networks: Machine Learning-Enhanced VLC-Based Medical Body Sensor Networks by Bilal Antaki, Ahmed Hany Dalloul, Farshad Miramirkhani

“…Visible Light Communication (VLC) leverages existing lighting infrastructure to deliver high data rates while mitigating electromagnetic interference (EMI); however, patient movement induces fluctuating signal strength and dynamic channel conditions. …”
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Semantic communication aware reinforcement learning for communication fault-tolerant UAV collaborative control by ZHANG Yang, GU Hongyu, FENG Bohao, WANG Ran

“…However, in environments rife with communication uncertainties, both subjective and objective environmental factors can disrupt UAV communication and collaboration. This interference can prevent UAV from accurately transmitting and receiving information, thereby jeopardizing the success of collaborative missions To address this challenge, a fault-tolerant UAV collaboration method grounded in reinforcement learning and semantic communication was developed to cater to the leader-follower UAV mission pattern within environments constrained by limited communication capabilities To enhance the follower UAV's strategy for reinforcement learning-based following, a semantic communication mechanism coupled with a Proximal Policy Optimization (PPO) method was implemented. …”
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A glyco-engineering approach for site-specific conjugation to Fab glycans by Maria L. Jaramillo, Traian Sulea, Yves Durocher, Mauro Acchione, Melissa J. Schur, Anna Robotham, John F. Kelly, Marie-France Goneau, Alma Robert, Yuneivy Cepero-Donates, Michel Gilbert

“…Effective processes for synthesizing antibody-drug conjugates (ADCs) require: 1) site-specific incorporation of the payload to avoid interference with binding to the target epitope, 2) optimal drug/antibody ratio to achieve sufficient potency while avoiding aggregation or solubility problems, and 3) a homogeneous product to facilitate approval by regulatory agencies. …”
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Spectral clustering-based energy-efficient resource allocation algorithm in heterogeneous cellular ultra-dense network by Xue WANG, Jing LIU, Jiani SUN, Jizhen ZHANG, Zhihong QIAN

“…In order to solve problems of high power consumption, spectrum shortage and low energy efficiency in the ultra-intensive 5G mobile communication scenario, a resource allocation algorithm based on the maximum energy efficiency for the two-layer heterogeneous cellular non-orthogonal multiple access network was proposed.The original NP-hard optimization problem on the downlink communication link of ultra-dense scene was divided into two subproblem, such as frequency resource allocation and power allocation, which became a deterministic constraint optimization problem.The frequency resource allocation scheme of different user groups was obtained by using base station clustering based on the improved k-means algorithm and users grouping based on spectral clustering algorithm.The fraction of energy efficiency optimization was transformed into a solvable continuous convex optimization problem and power distribution was realized by Dinkelbach method, and the Lagrange multiplier iterative algorithm, respectively.Jointly optimize system energy efficiency in terms of base station clustering, user grouping, resource block allocation and power allocation, which minimized the inter-cluster interference and intra-cluster interference of the base station efficiently.The simulation results show that the proposed algorithm is better on energy efficiency and computational efficiency compared with existing algorithms.…”
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Hybrid precoding and power allocation for mmWave NOMA systems based on time delay line arrays by Gangcan SUN, Xinli WU, Wanming HAO, Zhengyu ZHU

“…Methods:To reduce inter-user interference,an improved K-means algorithm is proposed to group users and select a cluster head for each group of users, which maximizes the correlation of user channels in the same cluster and reduces the correlation between users in different clusters as much as possible;Then,a low-complexity analog precoding is designed to maximize the array gain of the antenna based on the relevant user channel matrix composed of the cluster head set, followed by a digital precoding designed to eliminate inter-user interference with the maximum equivalent channel gain between beams using a forced-zero technique; Finally, an EE maximization problem is formed to optimize the transmit power under users'quality of services and total transmit power constraints,and a two-layer iterative algorithm is proposed for the resulting non-convex optimization problem. …”
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The role of biological sex in neurophysiological associations of patients with chronic osteoarthritis pain: a prospective cross-sectional study by Kevin Pacheco-Barrios, Marcel Simis, Paulo S. de Melo, Ingrid Rebello-Sanchez, Karen Vasquez-Avila, Sara Barbosa Franco, Paola Gonzalez-Mego, Linamara Battistella, Marta Imamura, Felipe Fregni

“…Similarly, sex modified the association between pain interference and pain threshold. In females EEG and PPT variables explained less variability of pain interference compared to males. …”
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A Robust Symbol-Level Precoding Method for Multibeam Satellite Systems by Qi Wang, Wuyang Zhou

“…Compared to interference mitigating precoding, interference exploiting symbol-level precoding (SLP) requires less transmit power to guarantee the quality of service in a multibeam satellite system. …”
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A Fairness Relation Based on the Asymmetric Choquet Integral and Its Application in Network Resource Allocation Problems by Aoi Honda, Mario Köppen

“…The price of fairness with regard to a wireless channel allocation problem taking channel interference into account is experimentally studied and it can be seen that the asymmetric on relation actually selects allocations that perform on average between maxmin fairness and proportional fairness, and being more close to maxmin fairness as long as channel interference is not high.…”
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Unified Framework for RIS-Enhanced Wireless Communication and Ambient RF Energy Harvesting: Performance and Sustainability Analysis by Sunday Enahoro, Sunday Ekpo, Yasir Al-Yasir, Mfonobong Uko, Fanuel Elias, Rahul Unnikrishnan, Stephen Alabi

“…To mitigate these challenges, this paper proposes a unified RIS framework that integrates passive and active Reconfigurable Intelligent Surfaces (RISs) for enhanced communication and ambient RF energy harvesting. Our methodology optimizes RIS-assisted beamforming using successive convex approximation (SCA) and adaptive phase shift tuning, maximizing desired signal reception while reducing interference. …”
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SFG-Net: A Scattering Feature Guidance Network for Oriented Aircraft Detection in SAR Images by Qingyang Ke, Youming Wu, Wenchao Zhao, Qingbiao Meng, Tian Miao, Xin Gao

“…Aircraft targets in SAR imagery typically exhibit indistinct details, discrete features, and weak contextual associations and are prone to non-target interference, which makes it difficult for existing visual detectors to capture critical features of aircraft, limiting further optimization of their performance. …”
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Improve unsupervised Learning-based landslides detection by band ratio processing of RGB optical images: a case study on rainfall-induced landslide clusters by Lichuan Chen, Xuekun Xiang, Haijia Wen, Jiafeng Xiao, Chenhao Song, Xinzhi Zhou, Jingyuan Yu

“…Firstly, by band ratio preprocessing, the interference features on landslide detection are eliminated. …”
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A Simple and Efficient Way to Save Energy in Multihop Wireless Networks with Flow Aggregation by Alexandre Laube, Dominique Quadri, Steven Martin, Khaldoun Al Agha

“…In this paper, we improve a solution that aggregates flows to optimize the number of nodes that can be turned off. …”
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Competition-Based Device-to-Device Transmission Scheduling to Support Wireless Cloud Multimedia Communications by Runan Yao, Wei Wang, Sung Shin, Seong H. Son, Soon I. Jeon

“…In this approach, the transmission request selection strategy is optimized by considering multimedia distortion reduction, hidden node problem, transmission interference, and signal coverage. …”
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