Factors affecting detection probability: Insights from banding data in a long-term continent-wide monitoring program by Morgane Gicquel, Juan C. Alonso, Lovisa Nilsson, Matthew Low, Javier A. Alonso, Dmitrijs Boiko, Damon Bridge, Patrick Dulau, Thomas Heinicke, Anne Kettner, Yosef Kiat, Petras Kurlavičius, Sigvard Lundgren, Michael Modrow, Günter Nowald, Ivar Ojaste, Alain Salvi, Jostein Sandvik, Markéta Ticháčková, Antonio Torrijo, Jari Valkama, Zsolt Végvári, Johan Månsson

“…In this study we investigate factors influencing detection rates of colour-banded Eurasian cranes (Grus grus), from a monitoring program spanning 35 years, involving 5049 marked individuals using four different types of bands (ELSA, ‘Finnish’, ‘Spanish’ and alphanumeric) with 172,725 resightings along migratory flyways. …”
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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. …”
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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. …”
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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. …”
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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." …”
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Posterior hip dislocation associated with a femoral neck fracture and posterior acetabular wall fracture by Marcus Vinícius Bianchi, Ary da Silva Ungaretti Neto, Cristina Vicioli, Ramesses Akamefula, Márcio Balbinotti Ferrari

“…The complexity arises from the cumulative complication rates associated with each injury, leading to an elevated overall risk.Case Presentation: A 30-year-old male was involved in a motorcycle collision, presenting with a shortened left lower extremity in adduction, internal rotation, and flexion. …”
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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. …”
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GT-SRR: A Structured Method for Social Relation Recognition with GGNN-Based Transformer by Dejiao Huang, Menglei Xia, Ruyi Chang, Xiaohan Kong, Shuai Guo

“…In order to overcome these restrictions, this essay suggests a SRR model that integrates Gated Graph Neural Network (GGNN) and Transformer. …”
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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. …”
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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. …”
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Enhancing Stock Price Forecasting with CNN-BiGRU-Attention: A Case Study on INDY by Madilyn Louisa, Gumgum Darmawan, Bertho Tantular

“…The method applied a hybrid model combining a Convolutional Neural Network (CNN), Bidirectional Gated Recurrent Unit (BiGRU), and an Attention Mechanism (AM) to address the nonlinear, volatile, and noisy characteristics of stock data. …”
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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. …”
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Children supervising children across low- and middle-income countries: the role of mothers’ education by Mónica Ruiz-Casares, Ruo Ying Feng, Negin Zamani, René Iwo, Magdalena Janus, Afua Twum-Danso Imoh, José Ignacio Nazif-Muñoz

“…In 90% of the countries across all regions, higher maternal education was associated with lower prevalence rates of children supervised by another child. No clear pattern was found among the eight countries across four continents displaying the opposite trend. …”
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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. …”
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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. …”
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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. …”
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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. …”
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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…The adoption of radiological AI faces several challenges, including substantial hardware requirements, data quality and quantity limitations, high false positive rates, the "black box" problem, and the narrow focus of current AI applications, which restricts their clinical usefulness. …”
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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. …”
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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.…”
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