An Electro-Magnetic Log (EML) Integrated Navigation Algorithm Based on Hidden Markov Model (HMM) and Cross-Noise Linear Kalman Filter by Haosu Zhang, Liang Yang, Lei Zhang, Yong Du, Chaoqi Chen, Wei Mu, Lingji Xu

“…Therefore, the algorithm has the advantages of high accuracy, strong anti-interference ability (it can effectively shield the outliers of EML and GNSS), strong adaptability to complex environments, and high engineering practicality. …”
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A review on Water Resource Planning and Management with Special Reference to Groundwater using Remote Sensing and GIS Techniques by S. P. Shinde, V. N. Barai, R. D. Bansod, A. A. Atre, B. K. Gavit, S. A. Kadam

“…GIS technology provides suitable alternatives for the efficient management of large and complex databases. The most significant advantage of using Remote Sensing data for hydrological modeling and monitoring is its ability to generate information in the spatial and temporal domain. …”
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Energy consumption prediction using modified deep CNN-Bi LSTM with attention mechanism by Adel Binbusayyis, Mohemmed Sha

“…Followed by that, Modified Deep CNN-Bi-LSTM (Convolutional Neural Network and Bi-directional Long Short Term Memory) with attention mechanism is utilized for regression which extracts temporal and spatial complex features. Deep CNN extracts features impacting energy consumption whereas Bi-LSTM with attention layer finds suitability for regression as it is capable of modelling irregular trends in the time-series components, where the attention mechanism is implemented to enhance the decoder's ability to selectively focus on the most relevant segments of the input sequence. …”
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Cancer stem cells: Bridging microenvironmental interactions and clinical therapy by Huiling Wang, Junshu Li, Fei Du, Hongxin Deng

“…Although they constitute only a minority of tumour cells, CSCs have become a central force driving tumourigenesis, metastasis, recurrence and resistance to therapy, owing to their abilities for self‐renewal, multi‐lineage differentiation and tumour‐initiating ability. …”
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Improving the Performance of Band Saws by Local Thermophysical Effects on the Blade by Vladimir I. Melekhov, Ivan I. Solovev, Ekaterina V. Sazanova, Natalya G. Ponomareva

“…During operation, the band saw blade is subject to the complex effects of force and temperature factors that change its stress state. …”
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The effectiveness of posterior Schanz screw system in the anatomical restoration of thoracolumbar vertebral burst fractures: A 10-year single-institution experience by Pietro Domenico Giorgi, Simona Legrenzi, Ye Youchen, Bove Federico, Giuseppe Rosario Schirò

“…Materials and Methods: A retrospective analysis was conducted on 101 patients who underwent short posterior fixation with transpedicular Schanz screws between 2012 and 2022 for single-level (T12 or L1) TLBFs. …”
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Variable-Ratio Mode-Insensitive 1 × 2 Power Splitter Based on MMI Couplers and Phase Shifters by Fang Ren, Wei Chen, Tianwen Zhangsun, Yiying Zhang, Xiaojie Fan, Jianping Wang

“…Numerical simulations are carried out and it is found that the structure has the ability to realize variable-ratio dual-mode mode-insensitive 1 × 2 power splitter by designing the number and lengths of the phase shifters, which shows a good agreement with our theoretical analysis. …”
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Cognitive flexibility in aging: the impact of age range and task difficulty on local switch costs in task switching by Tara Radović, Sebastian Kübler, Sebastian Kübler, Rafael Mikolajczyk, Alexander Kluttig, Viktoria Maydych, Torsten Schubert

“…IntroductionPrevious studies provided inconclusive results regarding the effects of aging on the ability to flexibly switch between task rules (local switch cost). …”
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Deep Learning-Based Brain Tumor Segmentation in MRI Images: A MobileNetV2-DeepLabV3+ Approach by Farhad Abedinzadeh Torghabeh, Seyyed Abed Hosseini

“…Compared to alternative models, MobileNetV2-DeepLabV3+ showed significant accuracy and segmentation precision improvements.Conclusion: The ensemble DL model, leveraging the strengths of MobileNetV2 and DeepLabV3+, offers a robust and efficient solution for accurate BT segmentation in MRI images. The model’s ability to delineate tumor regions holds great promise for enhancing diagnosis and treatment planning in BT analysis. …”
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Crossover permeation of catalysts and organic fuels through proton exchange membrane in liquid catalytic fuel cells by Kangzhi Deng, Kai Feng, Huan Li

“…Among these, liquid catalytic fuel cells (LCFCs), which commonly use Nafion proton exchange membranes to separate anolyte and catholyte, attract attention for their ability to directly utilize complex biomass wastes and generate electricity under mild conditions. …”
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Prediction of groundwater level and potential zone identification in Keonjhar, Odisha based on machine learning and GIS techniques by B. Ritushree, Shubhshree Panda, Abinash Sahoo, Sandeep Samantaray, Deba P Satapathy

“…The models were trained and evaluated using historical GWL data and meteorological parameters such as rainfall, humidity, temperature, and soil moisture. Through the analysis, the model LSTM was found to be superior in prediction of GWL with its ability to capture long-term dependencies and complex patterns in data. …”
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Prediction of suspended sediment concentration in fluvial flows using novel hybrid deep learning model by Sadra Shadkani, Yousef Hemmatzadeh, Amirreza Pak, Soroush Abolfathi

“…The proposed hybrid models exhibited exceptional robustness across diverse flow regimes, including extreme environmental conditions, establishing a reliable tool for SSC forecasting in complex fluvial systems.…”
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Multivariate predictive modeling of compressive strength in ground granulated blast furnace slag/fly ash-based alkali-activated concrete by Dina A. Emarah

“…Using a comprehensive dataset of 1590 samples with 14 input variables, it captures the complex, multi-variable dependencies affecting AAC's mechanical behavior. …”
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Long-term dynamics of placozoan culture: emerging models for population and space biology by Daria Y. Romanova, Alexander A. Povernov, Mikhail A. Nikitin, Simkha I. Borman, Yana A. Frank, Leonid L. Moroz, Leonid L. Moroz

“…However, the progress in this direction also depends on the ability to maintain a long-term culture of placozoans. …”
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A review of deep learning in blink detection by Jianbin Xiong, Weikun Dai, Qi Wang, Xiangjun Dong, Baoyu Ye, Jianxiang Yang

“…However, they encounter several challenges, including training data imbalance, complex environment interference, real-time processing issues and application device limitations. …”
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A comprehensive perspective on electric vehicles as evolutionary robots by Haoyang Che, Haoyang Che, Shaolin Wang, Shaolin Wang, Lei Yao, Ying Gu

“…Multi-robot systems exhibit different application forms in human life, among these, electric vehicles (EVs) at rest and in motion can be perceived as a specialized category of multi-robot systems with increasingly sophisticated vehicle functions and a certain degree of flexibility, and most notably, the ability to iteratively evolve. However, for EVs to evolve into the next-generation of multi-robot systems, more complex technical and operational mechanisms shall be fully cultivated in EVs to develop their evolutionary capabilities, including, but not limited to multimodal environmental sensing techniques, advanced telematics communication protocols such as 5G, Over-The-Air (OTA) upgrade functions, real-time backend data lake analytics, and user-centric marketing initiatives. …”
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LEGAL IMPLICATIONS OF BREAST MILK DONATION ON THE LACTASHARE PLATFORM PERSPECTIVE OF SADD AL-DZARI’AH by Ria Anjani, Syabbul Bachri

“…While this addresses nutritional needs for infants, it raises complex legal issues, particularly in Islamic jurisprudence regarding lineage and mahram relationships. …”
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MASLD vs. MAFLD. A narrative review by Amedeo Lonardo, Ming-Hua Zheng, Mohammed Eslam

“…With this backset, the present article aims at reviewing the similarities and differences between MAFLD and MASLD through a systematic analysis of published comparative studies. MAFLD and MASLD have a complex disease spectrum comprising, further to all-cause mortality, hepatic (fibrosis, cirrhosis, and primary liver cancer) and extrahepatic outcomes (major adverse cardiovascular events, chronic kidney disease, extrahepatic cancers, type 2 diabetes, and vascular dementia). …”
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Beyond the genome: the role of functional markers in contemporary plant breeding by Tae-Chun Park, Tae-Chun Park, Pransiskudura Chamara Silva, Pransiskudura Chamara Silva, Thomas Lübberstedt, Thomas Lübberstedt, M. Paul Scott, M. Paul Scott

“…Since the concept of FMs was first proposed in 2003, the emergence and adoption of technologies that were not available at the time have significantly advanced FM discovery and application by enhancing the ability to precisely identify causal variants underlying complex traits, which is a critical prerequisite for FM development. …”
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Multiplier leadership optimization algorithm (MLOA): unconstrained global optimization approach for melanoma classification by Sukanta Ghosh, Amar Singh, Shakti Kumar

“…Abstract This paper proposes the multiplier leadership optimization algorithm, which draws inspiration from multiplier leadership principles to search for and optimize solutions to complex problems effectively. Multiplier leaders possess the unique ability to amplify their teams’ collective intelligence and capabilities. …”
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