Low Complexity Unquantized Forward Stack Decoding Algorithm for Spinal Codes in Measurement While Drilling Communication by Xiaoyang Yu, Lei Liang, Ke Jiang, Tianwei Chen

“…Furthermore, this work integrates the non-quantized forward stack decoding with the superposition UEP-Spinal code to construct a novel MWD communication system. …”
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An Interdisciplinary Analysis of the Late Islamic Cemeteries Within the Cathedral (15th–18th Century CE) and the Ruins of Adulis (Mid-19th–Early 20th Century CE), Massawa, Eritrea:... by Omar Larentis, Nelly Cattaneo, Paolo Lampugnani, Susanna Bortolotto, Emanuele Zappa, Andrea Gregorini, Yotam Gezae, Tsegai Medin, Ilaria Gorini, Serena Massa

“…Systematic studies on Late Islamic cemeteries that integrate architectural, ritual, and biological aspects remain relatively rare, particularly in Islamic countries or regions with an active Muslim presence. …”
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Evaluation of EGFR-TKIs and ICIs treatment stratification in non-small cell lung cancer using an encrypted multidimensional radiomics approach by Xingping Zhang, Xingting Qiu, Yue Zhang, Qingwen Lai, Yanchun Zhang, Guijuan Zhang

“…We developed one clinical model and three radiomics models based on clinical factors and radiomics scores (RadScore) of three distinct regions to evaluate treatment response. Additionally, an integrated radiomics-clinical model was created by combining clinical factors with RadScore. …”
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Administration of non-national immunization program vaccines for children under six in a rural county, Henan Province: Did costs matter? by Miaomiao Yin, Yuan Cao, Xiaolin Xu, Hanzhi Peng, Yu Wang, Qian Long

“…Quantitative and qualitative data were integrated during the interpretation of the results. …”
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Construction of a miR-15a-based risk prediction model for vascular calcification detection in patients undergoing hemodialysis by Chen Fu, Yingjie Liu, Huayu Yang, Qiaojing Liang, Wenhu Liu, Weikang Guo

“…A nomogram constructed by integrating these risk factors can be used to predict the risk of VC in patients undergoing hemodialysis.…”
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Stem Cell Therapy for the Treatment of Amyotrophic Lateral Sclerosis: Comparison of the Efficacy of Mesenchymal Stem Cells, Neural Stem Cells, and Induced Pluripotent Stem Cells by Lauren Frawley, Noam Tomer Taylor, Olivia Sivills, Ella McPhillamy, Timothy Duy To, Yibo Wu, Beek Yoke Chin, Chiew Yen Wong

“…NSCs, isolated from the fetal spinal cord or brain, demonstrate promise in animal models but face functional integration and ethical challenges. iPSCs, created by reprogramming patient-specific somatic cells, offer a novel approach by potentially replacing or supporting neurons. iPSC therapy addresses ethical issues related to embryonic stem cells but encounters challenges regarding genotoxicity and epigenetic irregularities, somatic cell sources, privacy concerns, the need for extensive clinical trials, and high reprogramming costs. …”
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Qatar residents' satisfaction for using the Doha Metro Rail System: An analysis for sustainable transportation by Larry C. Flores, Ardvin Kester S. Ong, Maela Madel L. Cahigas, Ma. Janice J. Gumasing, Crisha Mae M. Cedron

“…Doha's public transportation system was entirely dependent on publicly run ground transportation services, including buses, taxis, and limousines before the Doha Metro Rail System – a sustainable transportation system, was implemented. This study integrated the Social Exchange Theory (SET) with the SERVQUAL 5 dimensions as a higher-ordered construct to assess how satisfied Qatar residents were with the Doha Metro Rail System after three years of service. …”
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A machine learning model using the snapshot ensemble approach for soil respiration prediction in an experimental Oak Forest by S.N. Ferdous, J.P. Ahire, R. Bergman, L. Xin, E. Blanc-Betes, Z. Zhang, J. Wang

“…Here, we developed a novel ML model that integrated a hybrid Prophet-ANN and snapshot ensemble approach. …”
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Unveiling the Role of <i>GhP5CS1</i> in Cotton Salt Stress Tolerance: A Comprehensive Genomic and Functional Analysis of <i>P5CS</i> Genes by Hui Fang, Xin Gao, Yunhao Wu, Ke Zhang, Ying Wu, Junyi Li, Dongmei Qian, Ruochen Li, Haijing Gu, Teame Gereziher Mehari, Xinlian Shen, Baohua Wang

“…Proline, a critical osmoregulatory compound, is integral to various plant stress responses. The <i>P5CS</i> gene, which encodes the rate-limiting enzyme in proline biosynthesis, known as ∆1-pyrroline-5-carboxylate synthetase, is fundamental to these stress response pathways. …”
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Detection of Crop Damage in Maize Using Red–Green–Blue Imagery and LiDAR Data Acquired Using an Unmanned Aerial Vehicle by Barbara Dobosz, Dariusz Gozdowski, Jerzy Koronczok, Jan Žukovskis, Elżbieta Wójcik-Gront

“…Future studies should explore integrated approaches across diverse crop types and damage patterns to optimize wild animal damage evaluation.…”
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The extensive cultivation of Pyropia haitanensis along the coastal areas influences the ecological dynamics of nearby intertidal mudflat pond water by Peihao Liu, Qijun Luo, Shanshan Zhu, Juanjuan Chen, Rui Yang, Tingting Niu, Tiegan Wang, Peng Zhang, Haimin Chen

“…This study aimed to understand the impact of the seaweed cultivation on the water quality and microbial communities in their neighboring intertidal mudflat ponds.MethodsA unique recirculating culture system was established, integrating seaweed farming in marine areas with aquaculture ponds on mudflats, and incorporating an effluent treatment process for added efficiency. …”
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Epidemic Situation of Brucellosis in Jinzhou City of China and Prediction Using the ARIMA Model by Lulu Wang, Chen Liang, Wei Wu, Shengwen Wu, Jinghua Yang, Xiaobo Lu, Yuan Cai, Cuihong Jin

“…Monthly morbidity data from 2004 to 2013 were selected to construct the autoregressive integrated moving average (ARIMA) model using SPSS 13.0 software. …”
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Optimized framework for evaluating F3 transgressive segregants in cayenne pepper by Ifayanti Ridwan, Muh Farid, Feranita Haring, Nuniek Widiayani, Ahmad Yani, Nirwansyah Amier, Muhammad Alfan Ikhlasul Amal, Jekvy Hendra, Nawab Ali, Mekhled Mohamed Alenazi, Mahmoud F. Seleiman, Willy Bayuardi Suwarno, Muhammad Fuad Anshori

“…Therefore, a systematic evaluation framework integrating morphometric analysis, categorical assessment, and environmental correction is essential for optimizing F3 cayenne transgressive segregants. …”
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High nature value farming systems in Europe: A dataset encompassing the environmental impact assessment of farms and extensive ruminant food productsFigshare by M. Torres-Miralles, P. Jeanneret, M. Lamminen, F. Joly, B. Dumont, H. Tuomisto, I. Herzon

“…Data, anonymised and integrated into a matrix, focus on such environmental impact indicators as greenhouse gas emissions (GHGs), biodiversity, land and water use, and fossil resource scarcity. …”
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Temporal Forecasting of Distributed Temperature Sensing in a Thermal Hydraulic System With Machine Learning and Statistical Models by Stella Pantopoulou, Matthew Weathered, Darius Lisowski, Lefteri H. Tsoukalas, Alexander Heifetz

“…We benchmark performance of long-short term memory (LSTM) network machine learning model and autoregressive integrated moving average (ARIMA) statistical model in temporal forecasting of distributed temperature sensing (DTS). …”
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Enhancing CO₂ Adsorption on MgO: Insights into Dopant Selection and Mechanistic Pathways by Shunnian Wu, W. P. Cathie Lee, Hashan N. Thenuwara, Xu Li, Ping Wu

“…Our comprehensive research, integrating computational modeling and experimental work supported by scanning electron microscopy and thermal gravimetric analysis, confirmed the superior CO₂ adsorption capabilities of C-doped MgO. …”
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Synthesis and application of zinc oxide nanoparticles in Pieris brassicae larvae as a possible pesticide effect by Isabella Martins Lourenço, Amedea Barozzi Seabra, Marcelo Lizama Vera, Nicolás Hoffmann, Olga Rubilar Araneda, Leonardo Bardehle Parra

“…Formulations of nanopesticides can provide unique characteristics such as size and shape, in addition to having integrated properties in a single material, making them efficient in pest management and protection against diseases in a single material; it can be applied in small volumes, with a greater precision, lower input costs, and a potential reduction in environmental contamination. …”
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Case report of the first use of a hydrogel rectal spacer for prostate cancer reirradiation via LDR brachytherapy: applications and technical notes by Amina Lazrek, Sebastiano Finocchi Ghersi, Adeline Petre, Sarah Houabes, Anne-Agathe Serre, Frederic Gassa, Magali Sandt, Cecile Laude, Camille Roukoz, Salvatore Cozzi

“…This case contributes to the growing evidence supporting the rectal spacer’s role in enhancing the safety and efficacy of salvage brachytherapy for recurrent prostate cancer.ConclusionsOur experience advocates for the integration of a hydrogel rectal spacer as a valuable tool in prostate cancer reirradiation protocols, offering a strategic approach to optimize treatment safety by minimizing rectal toxicity.…”
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Enhancing Tropical Cyclone Risk Assessments: A Multi-Hazard Approach for Queensland, Australia and Viti Levu, Fiji by Jane Nguyen, Michael Kaspi, Kade Berman, Cameron Do, Andrew B. Watkins, Yuriy Kuleshov

“…This study develops an integrated methodology for TC multi-hazard risk assessment that utilises the following individual assessments of key TC risk components: a variable enhanced bathtub model (VeBTM) for storm surge-driven hazards, a random forest (RF) machine learning model for rainfall-induced flooding, and indicator-based indices for exposure and vulnerability assessments. …”
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Boosting Cyberattack Detection Using Binary Metaheuristics With Deep Learning on Cyber-Physical System Environment by Alanoud Al Mazroa, Fahad R. Albogamy, Mohamad Khairi Ishak, Samih M. Mostafa

“…Cyberattack detection employing deep learning (DL) contains training neural networks to identify patterns indicative of malicious actions within system logs or network traffic, allowing positive classification and mitigation of cyber-attacks. By leveraging the integral ability of DL methods to learn complex representations, this technique enhances the accuracy and efficiency of detecting diverse and growing cyber-attacks. …”
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