Exploring the bacterial communities in date palm roots in saline versus non-saline environment by Shafeeq Rahman, Manzoor Ahmad, Mughair Abdul Aziz, Taif Ibrahim Alrayssi, Asma Saleh Mohammad, Reem Alothman, Khaled Masmoudi

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Characterising the spatio-temporal patterns of water quality parameters in the cradle of humankind world heritage site using Sentinel-2 and random forest regressor by Sinesipho Ngamile, Sinesipho Ngamile, Mahlatse Kganyago, Sabelo Madonsela, Sabelo Madonsela, Vuyelwa Mvandaba

“…This study aimed to predict and map the spatio-temporal patterns of both optically and non-optically active water quality parameters within small inland water bodies located in the COHWHS.MethodsHigh-resolution Sentinel-2 Multispectral Instrument (MSI) satellite data and two random forest models (Model 1 [consisting of sensitive spectral bands] and Model 2 [consisting of spectral bands + indices]) were used alongside In-situ measurements of chlorophyll-a, suspended solids, dissolved oxygen (DO), pH, Temperature, and electrical conductivity (EC) were integrated to establish empirical relationships and assess spatial variability across high-flow and low-flow conditions.ResultsThe results indicated that DO could be predicted with the highest accuracy under low-flow conditions, followed by EC. …”
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Spatial distribution of mixed milk feeding and its determinants among mothers of infants aged under 6 months in Ethiopia: Spatial and geographical weighted regression analysis. by Mekuriaw Nibret Aweke, Muluken Chanie Agimas, Moges Tadesse Abebe, Tigabu Kidie Tesfie, Meron Asmamaw Alemayehu, Werkneh Melkie Tilahun, Gebrie Getu Alemu, Worku Necho Asferie

“…<h4>Conclusion</h4>The study found significant regional variations in mixed milk feeding practices in Ethiopia. …”
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Screening of Germline BRCA1 and BRCA2 Variants in Nigerian Breast Cancer Patients by Abimbola F. Onyia MSc, Paul Jibrin MBBS, Temitope Olatunji-Agunbiade MBBS, Ademola Oyekan MBBS, AbdulRazzaq Lawal MBBS, Adewumi Alabi MBBS, Anthonia C. Sowunmi MBBS, Eben A. Aje MBBS, Oluwabusayo B. Ogunniyi MBBS, Ebenezer S. Nkom MBBS, Opeyemi C. De Campos PhD, Oluwakemi A. Rotimi PhD, Jelili O. Oyelade PhD, Solomon O. Rotimi PhD

“…Methods A prospective case-control study was conducted involving 45 breast cancer patients and 51 controls recruited from four major hospitals. …”
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Including non‐growing season emissions of N2O in US maize could raise net CO2e emissions by 31% annually by Brian Buma

“…Current N2O emission estimation methods at the national scale are predominantly via emission factors. …”
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An exploration of the editing cut as an articulator in film through frequency domain analysis of spectator EEGs by Javier Sanz-Aznar

“…The theoretical premise of the research was that if the shot change functions as a point of articulation that produces a connection between different units, two conditions must be met: first, all types of editing cuts should elicit common neural patterns; and second, these neural patterns triggered to make sense of the shot change should exhibit variations depending on the specific type of cut.MethodsTo achieve this objective, building on the theoretical foundations of cinematographic language and integrating methodologies from cognitive neuroscience, the study analyzed neural responses triggered by continuity editing cuts through electroencephalography recordings from 21 participants.ResultsTo determine it, the frequency domain of spectators’ neural recordings were analyzed for common event-related desynchronization/synchronization patterns. …”
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Driver facial emotion tracking using an enhanced residual network with weighted fusion of channel and spatial attention by Long Duongthang

“…The model integrates a fusion of channel and spatial attention mechanisms with learnable weights to enhance FER performance while maintaining moderate complexity. …”
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A Unified Framework for Adaptive Beamforming and State Estimation in Dynamic Multi-Lane V2V Networks by Nivetha Kanthasamy, Raghvendra V. Cowlagi, Alexander Wyglinski

“…This paper presents a Vehicle-to-Vehicle (V2V) communication modeling framework that addresses the challenges of reliable state estimation and beamforming control in dynamic, multi-lane road environments. By integrating an extended Unscented Kalman Filter (UKF) with adaptive process and measurement noise models, the proposed approach accurately tracks vehicle trajectories under abrupt speed variations, frequent lane changes, and adverse weather conditions. …”
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Development of a Vehicle-Bridge-Soil Dynamic Interaction Model for Scour Damage Modelling by L. J. Prendergast, D. Hester, K. Gavin

“…This paper presents a novel Vehicle-Bridge-Soil Dynamic Interaction (VBSDI) model which can be used to simulate the effect of scour on an integral bridge. The model outputs dynamic signals which can be analysed to determine modal parameters and the variation of these parameters with respect to scour can be examined. …”
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Addressing Disruption Risks in Location-Inventory Problems for Perishable Products through Lateral Transshipment by Ahmad Mohammadpour Larimi, Babak Shirazi, Iraj Mahdavi

“…Implementing reliability and resilience in PLIP (R2-PLIP) requires methods such as lateral transshipment. These methods not only enhance the reliability and resiliency of the SC but also mitigate the risks associated with supply disruptions and demand fluctuations. …”
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Wearable Fabric System for Sarcopenia Detection by Zhenhe Huang, Qiuqian Ou, Dan Li, Yuanyi Feng, Liangling Cai, Yue Hu, Hongwei Chu

“…Sarcopenia has been a serious concern in the context of an increasingly aging global population. Existing detection methods for sarcopenia are severely constrained by cumbersome devices, the necessity for specialized personnel, and controlled experimental environments. …”
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Indoor Evaluation of a Temperature-Controlled Gel Intelligent Diversion System by Zhifeng Luo, Qunlong Wu, Weiyu Chen, Haoran Fu, Kun Xu, Haojiang Xi

“…The Bohai SZ36-1 oilfield, the largest offshore oilfield in China, features a high-porosity, high-permeability reservoir with significant heterogeneity and permeability variations. After extended water injection, the reservoir’s pore structure evolved, increasing heterogeneity and reducing the effectiveness of traditional production methods. …”
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Acoustic Emission for Structural Monitoring of Historical Masonry: An In-Field Application by Luciana Di Gennaro, Giovanni Loreto, Giorgio Frunzio, Gianvittorio Rizzano, Claudio Guarnaccia

“…By integrating AE results with data from conventional monitoring instruments, a comprehensive interpretation of the load test outcomes was developed despite the challenges posed by the irregularities of ancient masonry. …”
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A hierarchical typology of multimodal scientific writing in early primary grades by Deborah L. Nichols, Ted Neal, Brian Hand

“…IntroductionScientific literacy in early education depends on both content knowledge and young learners' ability to organize and express scientific ideas across linguistic and visual-graphical modes. This integrative ability, known as multimodal competency, enables children to construct and communicate scientific understanding by coordinating text structure, language, and visual representation.MethodsIn this study, 1,705 science writing samples from 1,008 students in kindergarten through 2nd grade were analyzed using a two-stage quantitative approach. …”
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Mechanical Behavior of Marine Soft Soil with Different Water Contents Under Cyclic Loading by Yajun Liu, Heng Zhang, Yindong Sun, Ke Wu, Wenbin Xiao

“…Unlike previous research that typically focuses solely on experimental or numerical methods, this approach combines both techniques to enable a holistic analysis of soil behavior. …”
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Non-Destructive Detection of Chilled Mutton Freshness Using a Dual-Branch Hierarchical Spectral Feature-Aware Network by Jixiang E, Chengjun Zhai, Xinhua Jiang, Ziyang Xu, Muqiu Wudan, Danyang Li

“…This study aims to achieve the high-accuracy freshness detection of chilled mutton freshness by integrating hyperspectral imaging with deep learning methods. …”
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Advancements in image classification for environmental monitoring using AI by Jinjing Zhu, Ling Li

“…MABEC-Net integrates multi-scale feature extraction, which enables the model to analyze both fine-grained local textures and broader environmental patterns. …”
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Boundary-Aware Cross-Level Multi-Scale Fusion Network for RGB-D Salient Object Detection by Zhijun Zheng, Yanbin Peng

“…However, due to scale variation and complex backgrounds, achieving effective detection of objects at different scales in various scenes remains a challenging task. …”
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Joint spatiotemporal modelling of tuberculosis and human immunodeficiency virus in Ethiopia using a Bayesian hierarchical approach by Legesse Kassa Debusho, Leta Lencha Gemechu

“…Abstract Background The aim of this paper was to evaluate the distribution of HIV and TB in Ethiopia during four years (2015-2018) at the district level, considering both spatial and temporal patterns. Methods Consolidated data on the count of TB case notifications and the number of patients with HIV for four years, 2015-2018, were provided by the Ethiopian Federal Ministry of Health. …”
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Hate Speech Detection and Online Public Opinion Regulation Using Support Vector Machine Algorithm: Application and Impact on Social Media by Siyuan Li, Zhi Li

“…A multi-level feature extraction framework integrates sentiment analysis via lexicon-based methods and BERT for advanced sentiment recognition. …”
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