Environmental risk assessment based on multiscale spatial recurrent neural network algorithm for IoT agriculture area by M. Sofiya, M. Arulmozhi

“…Abstract In recent years, smart agricultural environments have gained attention for enhancing farming efficiency and productivity. These systems use smart sensors integrated with Internet of Things (IoT) devices to collect data such as temperature, soil moisture, and humidity, helping to improve yield and optimize water usage. …”
Get full text

New Insights into the Function of the Immunoproteasome in Immune and Nonimmune Cells by Hiroaki Kimura, Patrizio Caturegli, Masafumi Takahashi, Koichi Suzuki

“…The immunoproteasome is a highly efficient proteolytic machinery derived from the constitutive proteasome and is abundantly expressed in immune cells. …”
Get full text

Early Warning for the Construction Safety Risk of Bridge Projects Using a RS-SSA-LSSVM Model by Gang Li, Ruijiang Ran, Jun Fang, Hao Peng, Shengmin Wang

“…This overcame the problem of multiple early warning factors and reduced the complexity of the subsequent prediction model. Then, the LSSVM with the strongest nonlinear modelling ability was selected to build the bridge construction early-warning model and adopted the SSA to optimize the LSSVM parameter combination, improving the early warning accuracy. …”
Get full text

Designing a Model for Enhancing Appropriate Organizational Culture in Educational and Medical Centers by Fariba Ansari, Yousef Namvar, Azam Rastgoo, Tooran Soleimani

“…Introduction: Organizational culture is a key factor in improving service quality, increasing patient satisfaction, and enhancing organizational efficiency in educational and medical centers. The present study aimed to design a comprehensive model for enhancing the organizational culture in such institutions, considering the complexity of these centers and the pivotal role of culture in their performance. …”
Get full text

Nurses’ Knowledge and Attitudes Regarding Artificial Intelligence Technology in Iraq by Islam Mohammed Khalil, Amean A Yasir

“…Objectives: Artificial intelligence (AI) can potentially improve the effectiveness, accuracy, and quality of nursing practice by reducing workload and freeing nurses to concentrate on complex decision-making and direct patient care. This study aimed to assess nurses’ attitudes toward and knowledge of AI technology. …”
Get full text

Artificial intelligence in educational technology and transformative approaches to English language using fuzzy framework with CRITIC-TOPSIS method by Jingdan Liu, Xujie Bao, Liji Chen

“…Additionally, we can apply the discussed decision-making methodologies to resolve complex real-life applications, such as renewable energy, medical diagnosis, multi-robotic systems, social selections, and computational and environmental sciences.…”
Get full text

Quantification of Phenolic Compounds in Olive Oils by Near-Infrared Spectroscopy and Multiple Regression: Effects of Cultivar, Hydroxytyrosol Supplementation, and Deep-Frying by Taha Mehany, José M. González-Sáiz, Consuelo Pizarro

“…HTyr supplementation significantly increased both HTyr and Tyr levels in non-fried and fried supplemented oils, with HTyr rising from single digits in some controls (around 0 mg/kg) to over 300 mg/kg in most of the supplemented samples. SELECT efficiently reduced redundancy by selecting the most vital wavelengths and thus significantly improved the regression models for key phenolic compounds, including HTyr, Tyr, caffeic acid, decarboxymethyl ligstroside aglycone in dialdehyde form (oleocanthal), decarboxymethyl oleuropein aglycone in dialdehyde form (oleacein), homovanillic acid, pinoresinol, oleuropein aglycone in oxidized aldehyde and hydroxylic form (OAOAH), ligstroside aglycone in oxidized aldehyde and hydroxylic form (LAOAH), and total phenolic content (TPC), achieving correlation coefficients (R) of 0.91–0.98. …”
Get full text

CO2‐DBU‐Triggered Photoredox‐Catalyzed Direct α‐C‐H Alkylation of Alcohols by Zeyu Zhang, Zongchang Han, Yuhao Shang, Han‐Shi Hu, Jun Li, Chanjuan Xi

“…This strategy opens new avenues for efficient alkylation of ordinary alcohols, offering an environmentally friendly approach to complex molecular synthesis.…”
Get full text

Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…The algorithms (RF and STR) with the smallest Mean Absolute Error (MAE) and the highest residual error (RMSE) and the highest correlation coefficient (RP2) were selected for further parameter optimization and evaluation. …”
Get full text

Rope-Riding Mobile Anchor for Robots Operating on Convex Facades by Chaewon Kim, KangYup Lee, Jeongmo Yang, TaeWon Seo

“…This structural principle was selected for its simplicity, stability under heavy loads, and efficient actuation. …”
Get full text

Potential of Low-Cost UAV Photogrammetry for Documenting Hard-to-Access Interior Spaces Through Building Openings by Marián Marčiš, Marek Fraštia, Katarína Terao Vošková

“…However, due to the considerable diversity of cultural heritage, there are practical demands for the measurement of complex and inaccessible objects in interior spaces. …”
Get full text

A deep Reinforcement learning-based robust Intrusion Detection System for securing IoMT Healthcare Networks by Jamshed Ali Shaikh, Chengliang Wang, Muhammad Wajeeh Us Sima, Muhammad Arshad, Muhammad Owais, Dina S. M. Hassan, Reem Alkanhel, Mohammed Saleh Ali Muthanna

“…The methodology begins with Enhanced Mutual Information Feature Selection (MIFS) to preprocess the CICIoMT2024 dataset, selecting the most relevant features while reducing noise and computational complexity. …”
Get full text

Comparative study of NLFE models for simulating settlement-induced damage in masonry façades: macro- and simplified micro-models by Alfonso Prosperi, Michele Longo, Paul A. Korswagen, Giorgia Giardina, Jan G. Rots

“…Non-linear finite element modelling offers an effective approach for this purpose, though balancing model complexity, computational cost, and predictive reliability remains a key challenge. …”
Get full text

Deep Reinforcement Learning With Dueling DQN for Partial Computation Offloading and Resource Allocation in Mobile Edge Computing by Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, Abdallah Namoun, Mazhar Ali, Abdullah Alourani

“…The Dueling DQN alleviates the complexity of simultaneous offloading and resource allocation decisions, with each branch independently controlling a subset of the decision variables to scale efficiently with an increasing number of IoT devices, thereby avoiding the combinatorial explosion of potential actions. …”
Get full text

KNOT OPTIMIZATION FOR BI-RESPONSE SPLINE NONPARAMETRIC REGRESSION WITH GENERALIZED CROSS-VALIDATION (GCV) by Andre Fajry Al Barra, Dewi Retno Sari Saputro

“…Nonparametric regression models are flexible and can capture complex relationships that may not be adequately represented by simple parametric forms. …”
Get full text

RABP: Delay/disruption tolerant network routing and buffer management algorithm based on weight by Hezhe Wang, Guangsheng Feng, Huiqiang Wang, Hongwu Lv, Renjie Zhou

Get full text

POT1 stability and binding measured by fluorescence thermal shift assays. by Lynn W DeLeeuw, Robert C Monsen, Vytautas Petrauskas, Robert D Gray, Lina Baranauskiene, Daumantas Matulis, John O Trent, Jonathan B Chaires

“…The protein POT1 (Protection of Telomeres 1) is an integral part of the shelterin complex that protects the ends of human chromosomes from degradation or end fusions. …”
Get full text

Modified Energy-Based Design Method of the Precast Partially Steel-Reinforced Concrete Beam–CFST Column Eccentrically Braced Frame by Fugui Hou, Weiguang Chong, Yu Lin, Xijun He, Guanglei Zhang

“…Current related design methods focus on the concrete and steel structures rather than on the complex composite structure. In addition, they tend to overlook the contribution of the energy-dissipation unit and its corresponding additional influence on the structure. …”
Get full text

A simple method for the estimation of minimum and maximum air temperature monthly mean maps using MODIS images in the region of Murcia, Spain by Alfonso Galdón-Ruíz, Guillermo Fuentes-Jaque, Jesús Soto, Luis Morales-Salinas

“…The results showed that the regression coefficients for the selected locations are strong for the correlations between minimum temperature with LSTnight (R2 = 0.69–0.82) and maximum temperature with LSTday (R2 = 0.70–0.87) at the 47 stations. …”
Get full text

Exploring implications of input parameter uncertainties in glacial lake outburst flood (GLOF) modelling results using the modelling code r.avaflow by S. Rinzin, S. Dunning, R. J. Carr, A. Sattar, M. Mergili

“…<p>Modelling complex mass flow processes, such as glacial lake outburst floods (GLOFs), for hazard and risk assessments requires extensive data and computational resources. …”
Get full text