Analyzing RNA Localization Using the RNA Proximity Labeling Method OINC-seq by Megan Pockalny, Hei-Yong Lo, Raeann Goering, J. Taliaferro

“…Thousands of RNAs are localized to specific subcellular locations, and these localization patterns are often required for optimal cell function. …”
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Clutter Mitigation in Indoor Radar Sensors Using Sensor Fusion Technology by Srishti Singh, Ha-Neul Lee, Yuna Park, Sungho Kim, Si-Hyun Park, Jong-Ryul Yang

“…Notably, the inherent blur present in low-resolution images closely corresponds to the distortion patterns induced by clutter in radar signals, making such data particularly suitable for effective sensor fusion. …”
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Underwater acoustic classification across diverse sea environments using adaptive regularization and knowledge encoding by Muhammad Azeem Aslam, Muhammad Irfan, Xu Wei, Wang Jun, Hu Hongfei, Wang Shiyu, Xin Liu, Shahid Ali

“…Factors such as temperature, pressure, and salinity create complex sound propagation patterns, causing feature space variations. These variations cause degraded performance of classifications systems when deployed in unseen conditions. …”
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Study on the age and growth characteristics of Sepia esculenta in the East coast of China based on beak microstructure by Bilin Liu, Bilin Liu, Bilin Liu, Bilin Liu, Yuzhe Ou, Minhua Zhou, Hu Zhang, Yueyue Xiao, Kaiwei Zu, Chaowen Zhu, Haisheng Hu

“…The ML-age relationship fitted a linear growth model, while BW-age relationships followed an exponential model for females and a power function model for males. Growth rate analysis showed varied growth trajectories with age, with the highest absolute growth rate (AGR) of ML observed at 120–150 days for females (1.23 mm/d) and at 60–90 days for males (1.93 mm/d). …”
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Enhanced-Dueling Deep Q-Network for Trustworthy Physical Security of Electric Power Substations by Nawaraj Kumar Mahato, Junfeng Yang, Jiaxuan Yang, Gangjun Gong, Jianhong Hao, Jing Sun, Jinlu Liu

“…Empirical evaluation using synthetic data derived from historical incident patterns demonstrates the significant advantages of EDDQN over other standard DQN variations, yielding an average reward of 7.5, a threat prevention success rate of 91.1%, and a notably low false alarm rate of 0.5%. …”
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Seasonal Trends and Sociodemographic Influences on Long-Distance Trips - A Full Year of GPS Tracking Data from Munich by Nico Nachtigall, Miriam Magdolen, Markus Lienkamp

“… This study provides insights into the rarely observed long-distance travel patterns of individuals. Collected smartphone tracking data from June 2022 to May 2023, focused on the Munich metropolitan region, allows us to investigate travel behavior and the occurrence of long-distance travel throughout the year. …”
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Heat transfer test method development: Consideration for design and safety of household oven mitts by Adriana Petrova, Semra Peksoz, Aditya Jayadas

“… The purpose of this study was to develop a test method – an apparatus and a protocol for evaluating the rate of heat transfer across a sample of layered materials commonly used in oven mitts. …”
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Isolation and relationship analysis of Listeria phages with various serotype hosts and morphological characterization by Jinni chen, Yan Wang, Lingyun Liu, Hao Zhou, Pan Mao, Lingling Li, Ji Pu, Xuefang Xu, Jing Yang, Jingdong Song, Hui Sun, Xia Luo, Kui Dong, Changyun Ye

“…Abstract Listeriosis, caused by Listeria monocytogenes (Lm), is a severe foodborne illness with a high fatality rate. Listeria phages specifically target and lyse Lm, offer a promising alternative for biocontrol and phage therapy. …”
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Clinical Characteristics and Survival Analysis of Patients with Supraclavicular Fossa Lymphadenopathy by Yi-Jou Kao, Wan-Lun Hsu, Yong-Chen Chen, Wu-Chia Lo, Ping-Chia Cheng, Li-Jen Liao

“…The malignant nodes were larger and had a greater short-to-long axis ratio, irregular margins, and abnormal vascular patterns (<i>p</i> < 0.01). The 5-year survival rate for patients with malignant SCLNs was 40%. …”
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Short-term solar irradiance forecasting model based on hyper-parameter tuned LSTM via chaotic particle swarm optimization algorithm by V Ashok Gajapati Raju, Janmenjoy Nayak, Pandit Byomakesha Dash, Manohar Mishra

“…The proposed DL architecture leverages the power of LSTM to learn complex temporal patterns in short-wave solar irradiance data. The main objective of the CPSO is to minimize the prediction error through optimizing the LSTM's hyper-parameters such as neurons in hidden layers, learning rate, batch size, dropout rate and activation function. …”
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Wear characteristics of armature surface and its thermal effects under different electromagnetic launch conditions by Luyao Liu, Hongshun Liu, Pengfei Lu, Haoxi Cong, Ali Mohammed Ali Abdo, Li Zhang, Qingquan Li

“…It is urgent to clarify the evolution of armature wear patterns and fundamentally suppressing material damage. …”
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Comprehensive molecular analysis of 26 newly established human pancreatic ductal adenocarcinoma cell lines reveals two clusters with variating drug sensitivities by Ju Eun Maeng, Jae-Hyeon Kim, Soon-Chan Kim, Won-Gun Yun, Wooil Kwon, Youngmin Han, Do-Youn Oh, Sang Hyub Lee, Jin-Young Jang, Ja-Lok Ku

“…Abstract Background Pancreatic ductal adenocarcinoma (PDAC) is a malignant form of cancer with the worst survival rate and an extremely low rate of response to treatments. …”
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A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction by Bao Li, Quan Yang, Jianjiang Chen, Dongjin Yu, Dongjing Wang, Feng Wan

“…The temporal features are extracted with the gated recurrent unit (GRU). Then, we adaptively fuse spatial and temporal features with the gating mechanism to get the final spatio-temporal features for lane-level traffic prediction. …”
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Integrated Feature-Temporal GAN for Imbalanced Transaction Fraud Detection by Yicen Zheng, Yu Xie, Jiamin Yao

“…IFT-GAN introduces two key innovations: 1) A Feature-Aware Sample Selection (FASS) module that employs Fisher score-based feature ranking and weighted k-means clustering to create a balanced subset enriched with discriminative fraud signatures; and 2) A Temporal Dependency GAN (TD-GAN) architecture employing a novel Time-aware Gated Recurrent Unit (TaGRU) in both the generator and discriminator, explicitly modeling the temporal intervals between transactions through adaptive temporal gating. …”
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Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm by Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, David Escudero García, Miguel V. Carriegos

“…Also, a level of gain is assigned to each partition allowing us to study patterns and allocate whose samples are more profitable. …”
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Numerical Simulation of Two-roller Rotary Rolling Piercing of a New Heat-resistant Alloy SP2215 Seamless Pipe by Liang　Kai, Yao　Zhihao, Xie　Xishan, Wang　Hongying, Cheng　Jian, Dai　Weixing, Dong　Jianxin

“…The study analyzed dynamic changes in metal flow， strain field， stress field， strain rate field， temperature field， and rolling force during the skew rolling process. …”
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Actual Temperature Evolution of Thick Raft Concrete Foundations and Cracking Risk Analysis by Yuwen Ju, Honggang Lei

“…The accuracy of the FEA was ensured by adopting the concrete heat generation rate obtained from the adiabatic temperature rise test. …”
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MAFONN-EP: A Minimal Angular Feature Oriented Neural Network based Emotion Prediction system in image processing by L.B. Krithika, G.G. Lakshmi Priya

“…Then, the set of texture patterns are extracted based on four key parts such as two eyes, nose and mouth by using the Minimal Angular Deviation (MAD) technique. …”
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Land use land cover change as a casual factor for climate variability and trends in the Bilate River Basin, Ethiopia. by Samuel Shibeshi Bikeko, Dr E Venkatesham

“…Land use and land cover (LULC) changes are crucial in influencing regional climate patterns and environmental dynamics. However, the long-term impacts of these changes on climate variability in the Bilate River Basin remain poorly understood. …”
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Spatiotemporal vegetation dynamics in response to precipitation and land surface temperature in the Welmel watershed, southeastern Ethiopia by Tesfaye Bogale, Sileshi Degefa, Gemedo Dalle, Gebeyehu Abebe

“…The results showed a statistically significant increase in the NDVI at an annual scale, with a rate of 0.0028 (p = 0.003) across the entire watershed. …”
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