Integrating agent‐based models into the ensemble ecosystem modelling framework: A rewilding case study at the Knepp Estate, UK by Emily Neil, Ernesto Carrella, Richard Bailey

“…Compared with a previous EEM of Knepp, calibrating the ABM‐EEM was more efficient and identified a wider range of acceptable outputs. …”
Get full text

Multi-temporal crack segmentation in concrete structures using deep learning approaches by S. Harb, P. Achanccaray Diaz, M. Maboudi, M. Gerke

“…After training the models, experiments were conducted to analyze their generalization ability, temporal consistency, and segmentation quality. …”
Get full text

Rapid CO2 mineralization by zeolite via cation exchange by Abdulwahab Alqahtani, Mouadh Addassi, Hussein Hoteit, Eric Oelkers

“…Zeolite minerals are common alteration products of basaltic rocks and are known for their ability to rapidly exchange their interstitial cations with those in aqueous solutions. …”
Get full text

Characterization of Three Species of Thrips on Weeping Fig, Nutmeg, and Marine Seruni Plants Based on Mtcoi DNA Sequences by Nia Kurniawaty, Purnama Hidayat, Aunu Rauf

“…Phlaeothripidae is the only family of  Tubulifera Suborder and some reports suggested that they had potential to be pests in several crops due to their ability to roll up and to make galls on leaves. The first step in pest management attempt is to identify the pest accurately and quickly, so the pest management can be on target and more efficient. …”
Get full text

A novel muirhead mean operators based decision algorithm with applications in the orientation of basketball players using circular q-rung orthopair fuzzy information by Changyou Wang

“…The decision-making accuracy improves when these operators maintain criterion relationships because they produce unbiased and dependable evaluations of player abilities and expertise. The development includes constructing key theoretical properties while creating a reliable multi-criteria decision-making (MCDM) algorithm that enables efficient computations. …”
Get full text

Coronavirus nucleocapsid protein enhances the binding of p-PKCα to RACK1: Implications for inhibition of nucleocytoplasmic trafficking and suppression of the innate immune response... by Wenxiang Xue, Hongyan Chu, Jiehuang Wang, Yingjie Sun, Xusheng Qiu, Cuiping Song, Lei Tan, Chan Ding, Ying Liao

“…The hallmark of coronavirus infection lies in its ability to evade host immune defenses, a process intricately linked to the nuclear entry of transcription factors crucial for initiating the expression of antiviral genes. …”
Get full text

Harnessing <i>Bacillus subtilis</i> Spore Surface Display (BSSD) Technology for Mucosal Vaccines and Drug Delivery: Innovations in Respiratory Virus Immunization by Howra Bahrulolum, Parisa Beyranvand, Gholamreza Ahmadian

“…Respiratory viruses present significant global health challenges due to their rapid evolution, efficient transmission, and zoonotic potential. These viruses primarily spread through aerosols and droplets, infecting respiratory epithelial cells and causing diseases of varying severity. …”
Get full text

Towards circular economy through novel waste recycling technologies by Kristina Bazienė, Justinas Gargasas, Surya Rajendran, Jordan Nathan Solomon

“…Each technology is evaluated in terms of its ability to convert waste into valuable secondary raw materials like fuels, chemicals, and bioplastics, and its contributions to reducing environmental footprints. …”
Get full text

Diversity-Driven Multi-Head Attention for Enhanced Trajectory Prediction by Zhen Zhang

“…This task involves multiple complex challenges: first, trajectory prediction needs to deal with significant pattern diversity, such as multiple interacting behaviors and possible paths in dynamic environments; second, the task requires finding a balance between long-term historical information and local dynamic changes in order to accurately capture the target&#x2019;s motion trends; furthermore, the generalization ability and robustness of the model are especially critical in the face of unseen data; and finally, trajectory prediction needs to satisfy efficient reasoning requirements in realtime, further increasing the complexity of the task. …”
Get full text

Swin Attention Augmented Residual Network: a fine-grained pest image recognition method by Xiang Wang, Zhiyong Xiao, Zhaohong Deng

“…Our method achieves efficient and accurate pest recognition. On the one hand, Swin-AARNet enhances local key features and establishes a feature complementation mechanism, thereby improving the extraction capability of local features. …”
Get full text

Coded Pulse Stream LiDAR Based on Optical Orthogonal Frequency-Division Multiple Access by Gunzung Kim, Imran Ashraf, Jeongsook Eom, Yongwan Park

“…Lateral angular resolution impacts LiDAR&#x2019;s ability to detect objects. This study proposes an optical orthogonal frequency-division multiple access (OFDMA) LiDAR with a coded pulse technique to enhance the detection accuracy of objects. …”
Get full text

Redesigning Building Thermal Science Education Through Inquiry-Based Experiential Learning by Jinxun Zhuang, Chenshun Chen, Julian Wang

“…Mastering building thermal science is essential for architectural professionals, as it supports the design of energy-efficient and thermally optimized buildings, which are critical for addressing the growing demands of sustainable architecture. …”
Get full text

Differential regulation of MMP activity by TGFβ1 in fast- and slow- twitch muscle repair: insights from EDL and soleus muscle-derived myoblasts by Paulina Kasprzycka, Maria Anna Ciemerych, Malgorzata Zimowska

“…IntroductionSkeletal muscles are characterized by a significant ability to regenerate in response to injury. However, muscle repair is often inefficient and hindered by the development of fibrosis. …”
Get full text

Comparison of dynamic mode decomposition with other data-driven models for lung cancer incidence rate prediction by L. Raymond Guo, Jifu Tan, M. Courtney Hughes

“…All models were evaluated based on their ability to predict 2021 lung cancer incidence rates.ResultsThe time series model achieved the lowest root mean squared error, followed by random forest. …”
Get full text

Condition-Based Health Monitoring of Electrical Machines Using DWT and LDA Classifier by Faraz Ahmed Shaikh, Muhammad Zuhaib Kamboh, Bilal Ahmad Alvi, Sheroz Khan, Farhat Muhammad Khan

“…The development of an efficient health monitoring system based on the identification of electrical motor faults is on great demand. …”
Get full text

Investigating access and use of digital tools for agriculture among rural farmers: A case study of Nkomazi Municipality, South Africa by Olorunfemi Oluwasogo David, Mamiane Thapelo Austin, Matiwane Mona Ben

“…It is recommended that the farmers receive education and training on the use of modern digital tools and apps to enhance their ability to leverage them effectively and efficiently for the benefit of their agricultural enterprise.…”
Get full text

The crosstalk between dendritic cells, cytokine-induced killer cells and cancer cells from the perspective of combination therapy by Assel Issabekova, Marzhan Zhumabekova, Madina Zhunussova, Vyacheslav Ogay

“…Mo-DCs have the unique ability to present antigens to T cells in peripheral tissues. …”
Get full text

Absorption effects in lasing microdroplets of dye solutions by William M. Piedra, Andrea Tomassini, Amrita Singh, Françisco M. Raymo

“…In fact, a solid understanding of the geometrical, optical and photophysical factors regulating the ability of a single dye‐doped microdroplet to produce laser emission has already been developed. …”
Get full text

Pathogen-induced dormancy in liquid limits gastrointestinal colonization of Caenorhabditis elegans by Liyang Zhang, Vyshnavi Gade, Natalia V. Kirienko

“…Colonization is generally considered a prerequisite for infection, but this event is context-dependent, as evidenced by the differing ability of the human pathogen Pseudomonas aeruginosa to efficiently colonize Caenorhabditis elegans on agar but not in liquid . …”
Get full text

Hate Speech Detection and Online Public Opinion Regulation Using Support Vector Machine Algorithm: Application and Impact on Social Media by Siyuan Li, Zhi Li

“…These results highlight the model’s ability to detect implicit hate speech accurately and efficiently, supporting real-time monitoring. …”
Get full text