The other in me: interpersonal multisensory stimulation changes the mental representation of the self. by Ana Tajadura-Jiménez, Stephanie Grehl, Manos Tsakiris

“…Finally, synchronous, as compared to asynchronous, IMS resulted in significant differences in participants' ratings of their experience, but unlike other bodily illusions, positive changes in subjective experience were related to the perceived physical similarity between the two faces, and not to identification.…”
Get full text

Enhancing Education with Machine Learning: Predicting Student Readability Scores by Claire Bell

“…The research leverages a dataset of 1,000 English texts to evaluate and compare the performance of RFC, the Sooty Tern Optimization Algorithm (STOA), and the Gold Rush Optimizer (GRO) in predicting readability ratings. Key metrics, including accuracy, precision, and F1-score, are employed to assess and benchmark the models. …”
Get full text

CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…This research aims to build a cryptocurrency forecasting model with a machine learning-based time series approach using the gated recurrent units (GRU) algorithm. The dataset used is historical Bitcoin closing price data from January 1, 2017, to July 31, 2024. …”
Get full text

Movie-watching evokes ripple-like activity within events and at event boundaries by Marta Silva, Xiongbo Wu, Marc Sabio, Estefanía Conde-Blanco, Pedro Roldán, Antonio Donaire, Mar Carreño, Nikolai Axmacher, Christopher Baldassano, Lluís Fuentemilla

“…Our results revealed a differential dynamical pattern of ripple occurrence during encoding. Enhanced hippocampal ripple recruitment was observed at event boundaries, reflecting hippocampal involvement in event segmentation, whereas higher ripple rates were seen within an event for cortical electrodes with higher ripple occurrence at the temporal cortex, reflecting whether an event was later recalled. …”
Get full text

The state and fate of Glaciar Perito Moreno Patagonia by Moritz Koch, Christian Sommer, Norbert Blindow, Katrina Lutz, Pedro Skvarca, Lucas Ruiz, Paola Rizzoli, Jose-Luis Bueso-Bello, Johannes J. Fürst, Matthias H. Braun

“…We detect an acceleration in frontal surface lowering rates, from 0.34 m a−¹ (2000–2019) to 5.5 m a−¹ (2019–2024), accompanied by glacier acceleration and retreat. …”
Get full text

Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
Get full text

Perception of quality and adoption of health-preventive measures in gym-goers after the COVID-19 pandemic peak in Italy by L Falese, E Langiano, M Ferrara, P Diotaiuti, A Rodio, T Di Libero, A Andrade, E De Vito

“…Participants generally rated the gym positively, with 34.49% considering it "Good" and 39.23% rating it "Very good." …”
Get full text

MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
Get full text

Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
Get full text

Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

“…MSCF first employs dynamic convolution-based downsampling to enhance the multiscale feature representation. Adaptive gating and multiscale convolutions are then utilized to capture complex acoustic patterns. …”
Get full text

Toward Fiscal Decentralization: Assessing the Performance of Internally Generated Revenue Collection for Local Development in Ghana by Charles Nicholas, Charles Dwumfour Osei, David Kwao-Sarbah

“…The findings reveal a striking pattern where property rates emerged as the most consistent and high-performing source of IGF, while revenues from land royalties and administrative fees lagged significantly. …”
Get full text

Fatty acid filled polyaniline nanofibres with dual electrical conductivity and thermo-regulatory characteristics: Futuristic material for thermal energy storage by Tanwar Surya, Varshney Gunjan, Kaur Raminder

“…In addition to exhibiting reliable thermal performance over numerous cycles, PANI/UA NFs showed excellent TES and release rates. This work addresses key challenges in TES applications by introducing a PCM based on renewable materials that offers enhanced thermal reliability and efficiency. …”
Get full text

Analysis of Factors Affecting Social Participation in Municipal Waste Management by Farhad Afshar, Madjid Abbaspour, Akram al-Muluk Lahijanian, Reza Azizinezhad

“…Cities around the world face many challenges in urban waste management, the most important of which are increased energy consumption and greenhouse gas emissions, unsanitary public spaces and bad odors, and low recycling rates and limited spaces. Benefiting from social participation, along with integrated urban planning and strategy, can be a safe and physical solution in the optimal management of municipal waste. …”
Get full text

Zonation of macrofauna across sandy beaches and surf zones along the Dutch coast by Gerard Janssen, Saskia Mulder

“…BSI ranged from 1.4 to 1.1 for the northern and western Dutch coasts respectively and had an overall value of 1.2. The rates of exposure of the beaches varied between 8 and 12, and are therefore regarded as sheltered to moderately exposed. …”
Get full text

INTEGRATED APPROACH TO ASSESSING THE SEISMIC HAZARD OF URBAN AREAS IN SOUTHERN PRIANGARIE (CASE OF THE LEFT BANK OF THE ANGARA RIVER IN IRKUTSK) by A. Yu. Eskin, V. I. Dzhurik, S. P. Serebrennikov, E. V. Bryzhak

“…The experimental methods provided the data on the seismic properties of the reference and investigated soils, the propagation rates of seismic waves in such soils, and the pattern of microseism levels, as required for a valid estimation of seismic effect parameters by the seismic rigidity method and the microseism technique. …”
Get full text

Use of Computational Intelligence in Customizing Drug Release from 3D-Printed Products: A Comprehensive Review by Fantahun Molla Kassa, Souha H. Youssef, Yunmei Song, Sanjay Garg

“…Computational intelligence (CI) mimics human intelligence by expanding the capabilities of machines in data analysis, pattern recognition, and making informed decisions. …”
Get full text

Inaccurate DNA synthesis in cell extracts of yeast producing active human DNA polymerase iota. by Alena V Makarova, Corinn Grabow, Leonid V Gening, Vyacheslav Z Tarantul, Tahir H Tahirov, Tadayoshi Bessho, Youri I Pavlov

“…Finally, we demonstrate that the mutation rates in yeast strains producing human DNA Pols ι and η are not elevated over the control strain, despite highly inaccurate DNA synthesis by their extracts.…”
Get full text

Impact of selective evidence presentation on judgments of health inequality trends: an experimental study. by Sam Harper, Nicholas B King, Meredith E Young

“…We randomized participants to see either a difference or ratio measure of health inequality alongside raw mortality rates in 5 different scenarios. At baseline there were no differences between treatment groups in assessments of inequality trends, but selective exposure to the same raw data augmented with ratio versus difference inequality graphs altered participants' assessments of inequality change. …”
Get full text

SynergyBug: A deep learning approach to autonomous debugging and code remediation by Hong Chen

“…The system demonstrated exceptional detection strength for functional and performance, and security bugs, where the detection rates reached 94% and 90% and 92%, respectively. …”
Get full text

Assessing the Effects of Climate Change and Land‐Use Changes on Extreme Discharge in the Western Watershed of Lake Urmia, Iran by Ghasem Farahmand, Behzad Hessari, Hossein Salehi

“…Furthermore, land‐use change assessments indicated that expanding orchards and irrigated and rain‐fed agricultural lands will significantly elevate future peak discharge, with differences exceeding 10 m3/s in sub‐basins like Nazlochay and Barandozchay, driven by reduced infiltration and increased runoff rates. Modeling with these tools confirmed that climate and land‐use changes synergistically alter flood dynamics, a pattern consistent with regional studies. …”
Get full text