Membrane-targeted push-pull azobenzenes for the optical modulation of membrane potential by Valentina Sesti, Arianna Magni, Matteo Moschetta, Chiara Florindi, Marlene E. Pfeffer, Mattia Lorenzo DiFrancesco, Michele Guizzardi, Giulia Folpini, Luca Sala, Alessandra Gilda Ritacca, Beatrice Campanelli, Paola Moretti, Giuseppe Maria Paternò, Luca Maragliano, Matteo Tommasini, Francesco Lodola, Elisabetta Colombo, Fabio Benfenati, Chiara Bertarelli, Guglielmo Lanzani

“…Additionally, a developed mathematical model successfully captures the temporal evolution of the membrane potential upon photostimulation. …”
Get full text

Spherical Accretion in the Schwarzschild Spacetime in the Newtonian Analogous Construct by Shubhrangshu Ghosh, Souvik Ghose, Kalyanbrata Pal, Arunabha Bhadra, Tapas K. Das

“…The velocity-dependent Newtonian analogous potentials (NAPs) corresponding to general relativistic (GR) spacetimes accurately capture most of the relativistic features, including all classical tests of GR, effectively representing spacetime geometries in Newtonian terms. …”
Get full text

Automation of quantum dot measurement analysis via explainable machine learning by Daniel Schug, Tyler J Kovach, M A Wolfe, Jared Benson, Sanghyeok Park, J P Dodson, J Corrigan, M A Eriksson, Justyna P Zwolak

“…By design, features present in such images capture certain behaviors or states of the measured QD devices. …”
Get full text

Dust Storm Attenuation Prediction Using a Hybrid Machine Learning Model Based on Measurements in Sudan by Elfatih A. A. Elsheikh, E. I. Eltahir, Abdulkadir Tasdelen, Mosab Hamdan, Md Rafiqul Islam, Mohamed Hadi Habaebi, Aisha H. Abdullah Hashim

“…The proposed model incorporates XGBoost for feature selection and combines Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) layers to capture both short-term and long-term dependencies in meteorological data. …”
Get full text

Combining Postural Sway Parameters and Machine Learning to Assess Biomechanical Risk Associated with Load-Lifting Activities by Giuseppe Prisco, Maria Agnese Pirozzi, Antonella Santone, Mario Cesarelli, Fabrizio Esposito, Paolo Gargiulo, Francesco Amato, Leandro Donisi

“…<b>Methods</b>: To compute postural sway parameters, the IMU captured acceleration data in both anteroposterior and mediolateral directions, aligning closely with the body’s center of mass. …”
Get full text

Retrieval of NO2 Columns by Exploiting MAX-DOAS Observations and Comparison with OMI and TROPOMI Data during the Time Period of 2015–2019 by Ahmad Iqbal, Naveed Ahmad, Hassan Mohy ud Din, Michel Van Roozendael, Muhammad Shehzaib Anjum, Muhammad Zeeshan Ali Khan, Muhammad Fahim Khokhar

“…It is pertinent to mention that TROPOMI measurements can capture the local NO2 pollution much better than OMI and its predecessor instruments like GOME-2, SCIAMACHY and GOME. …”
Get full text

An Investigation of Ionospheric TEC Prediction Maps Over China Using Bidirectional Long Short‐Term Memory Method by Shuangshuang Shi, Kefei Zhang, Suqin Wu, Jiaqi Shi, Andong Hu, Huajing Wu, Yu Li

“…In addition, the diurnal variation, seasonal variation of the ionospheric TEC, and variations under geomagnetic storm conditions are successfully captured by the bi‐LSTM‐based model. Moreover, the TEC maps resulting from the bi‐LSTM model agree well with those obtained from the final ionospheric product from the Chinese Academy of Sciences. …”
Get full text

CGDINet: A Deep Learning-Based Salient Object Detection Algorithm by Chengyu Hu, Jianxin Guo, Hanfei Xie, Qing Zhu, Baoxi Yuan, Yujie Gao, Xiangyang Ma, Jialu Chen, Juan Tian

“…CGDINet introduces the Group Consensus Aggregation Module (GCAM) embedded with the Coordinate Attention (CA) mechanism, named CAGM (Coordinate Attention-Group Consensus Aggregation Module), to enhance global feature capture capabilities and improve the processing of directional features. …”
Get full text

Enabling smart parking for smart cities using Internet of Things (IoT) and machine learning by Mofadal Alymani, Lenah Abdulaziz Almoqhem, Dhuha Ahmed Alabdulwahab, Abdulrahman Abdullah Alghamdi, Hussain Alshahrani, Khalid Raza

“…In this context, our proposed system attempts to address this pressing issue, which consists of two parts: one is a camera at the parking gate that recognizes the license plate using the Automatic Number Plate Recognition (ANPR) algorithm, where the camera captures the license plate and outputs the plate number using the optical character recognition (OCR) technique. …”
Get full text

Analysis of Human Gait Cycle With Body Equilibrium Based on Leg Orientation by Muhammad Asif, Muhammad A. Tayyab, Muhammad H. Shahid, Usama Arif, Mohsin I. Tiwana, Umar S. Khan, Waqar S. Qureshi

“…To better understand the pitfalls of gait, it is imperative to develop systems capable of capturing the gait patterns of healthy individuals. …”
Get full text

Hydration in young water polo players: A bioelectrical impedance vector analysis (BIVA) approach by Sofia Serafini, Andrea Di Blasio, Iris Prestanti, Andrea Di Credico, Andrea Fusco, Jacopo Cilli, Gabriele Mascherini, Ruggero D'Anastasio, Pascal Izzicupo

“…The resistance reduction indicates that BIVA captured the compensation for dehydration resulting from fluid intake.…”
Get full text

Tailoring Borate Mediator Species Enables Industrial CO Production with Improved Overall Energy Efficiency by Sustainable Molten Salt CO2 Electrolysis by Xinyu Li, Bowen Deng, Kaifa Du, Wenmiao Li, Di Chen, Xin Qu, Fangzhao Pang, Xiaodan Zhang, Hao Zha, Huayi Yin, Dihua Wang

“…In this study, a borate‐enhanced molten salt process for CO2 capture and electrochemical transformation is employed, achieving over 98% selectivity for CO and over 55% energy efficiency without the necessity for complex and costly electrocatalysts. …”
Get full text

Storm‐Time Ring Current Plasma Pressure Prediction Based on the Multi‐Output Convolutional Neural Network Model by Yun Yan, Zi‐Kang Xie, Chao Yue, Jiu‐Tong Zhao, Fan Yang, Lun Xie, Qiu‐Gang Zong, Xu‐Zhi Zhou, Shan Wang

“…Our model successfully captures ring current enhancement during the storm main phase and species‐dependent decay during the recovery phase. …”
Get full text

A multiresolution approach with method-informed statistical analysis for quantifying lymphatic pumping dynamics by Mohammad S. Razavi, Katarina J. Ruscic, Elizabeth G. Korn, Marla Marquez, Timothy T. Houle, Dhruv Singhal, Lance L. Munn, Timothy P. Padera

“…The results highlight the importance of comprehensive data acquisition strategies to fully capture the dynamic behavior of the lymphatic system.…”
Get full text

Event-Type Identification in Power Grids Using a Spectral Correlation Function-Aided Convolutional Neural Network by Ozgur Alaca, Ali Riza Ekti, Jhi-Young Joo, Nils Stenvig

“…The SCF-based FE method captures distinctive event-type characteristics by exploiting the spectral correlation of signals, allowing the CNN architecture to effectively learn and generalize event patterns. …”
Get full text

Predictive modeling and optimization of noise emissions in a palm oil methyl ester-fueled diesel engine using response surface methodology and artificial neural network integrated... by J.M. Zikri, M.S.M. Sani, M.F.F.A. Rashid, J. Muriban, G.S. Prayogo

“…Specific components, such as the radiator, crankshaft, and crankcase, exhibited minimal prediction errors under ANN-GA, suggesting that this model is particularly adept at capturing the complex noise emission patterns associated with POME-fueled engines. …”
Get full text

Interplanetary Influence on Thermospheric Mass Density: Insights From Deep Learning Analyses by Wenbo Li, Libo Liu, Yiding Chen, Yi‐Jia Zhou, Huijun Le, Ruilong Zhang

“…These results show that the DL model can better capture the TMD features after adding IEI. Part of these TMD features, including the high‐latitude TMD enhancement during the space hurricane event (DOY 232, 2014) and global TMD variations under complex solar‐terrestrial environmental disturbances (DOY 222–225, 2014), cannot be well described by the geomagnetic indices. …”
Get full text

Mutational Analysis of a Familial Adenomatous Polyposis Pedigree with Bile Duct Polyp Phenotype by Li-jun Xie, Dan-dan Ruan, Jian-hui Zhang, Yi Li, Li Chen, Mao-lin Yan, Ming-dian Yu, Jie-wei Luo, Hui-zhen Zhang

“…We used next-generation sequencing (NGS) and capture techniques to screen suspected mutation points in the proband in this pedigree. …”
Get full text

Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks by Riadh Azzaz, Mohammad Jahazi, Samira Ebrahimi Kahou, Elmira Moosavi-Khoonsari

“…The scrap-based electric arc furnace process is expected to capture a significant share of the steel market in the future due to its potential for reducing environmental impacts through steel recycling. …”
Get full text

OSAD: Open-Set Aircraft Detection in SAR Images by Xiayang Xiao, Zhuoxuan Li, Xiaolin Mi, Dandan Gu, Haipeng Wang

“…GCM effectively enhances the network&#x0027;s representation of objects by attention maps that are formed by capturing long sequential positional relationships. …”
Get full text