Sparse seagrass meadows are critical dugong habitat: A novel rapid assessment of habitat-wildlife associations using paired drone and in-water surveys by Nicole E. Said, Christophe Cleguer, Paul Lavery, Amanda J. Hodgson, Connor Gorham, Julian A. Tyne, Ankje Frouws, Simone Strydom, Johnny Lo, Holly C. Raudino, Kelly Waples, Kathryn McMahon

“…Understanding the fine-scale behavioural and feeding ecology of marine megafauna is imperative for effective management of their habitat areas; however, obtaining the relevant data can be both costly and challenging. Here we integrate the use of small drones for dugong surveys with underwater benthic habitat assessment techniques at the local spatial scale (∼30 km2), to determine the drivers of dugong (Dugong dugon) distribution across three locations in the Pilbara, Western Australia. …”
Get full text

Challenges Faced by Prehospital Emergency Physicians Providing Emergency Care to Patients with Advanced Incurable Diseases by Anne Kamphausen, Hanna Roese, Karin Oechsle, Malte Issleib, Christian Zöllner, Carsten Bokemeyer, Anneke Ullrich

“…EPs strengthened that the integrations of specialized prehospital palliative care services improved emergency care by providing resources to patients and family caregivers, enhancing the quality and availability of medical documentation and accessibility of aftercare in emergencies. …”
Get full text

Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning by Meiyue Shen, Yine Zhang, Runqing Zhan, Tingwei Du, Peixuan Shen, Xiaochuan Lu, Shengnan Liu, Rongrong Guo, Xiaoli Shen

“…Feature importance analysis, partial dependence plot, and shapley additive explanations were integrated to enhance the interpretability of the CVD prediction model. …”
Get full text

Assessment of Vegetation Temperature Status (VTCI) for monitoring drought in the watershed of Lake Urmia by using MODIS satellite imagery by Adel Nabi Zadeh Balkhanloo, zahra hejazizadeh, Parviz zeaiean Firoozabadi

“…The present study showed that with the integration of satellite satellite data with meteorological data, the VTCI threshold for drought stress varies from year to year depending on the data conditions.…”
Get full text

A Multiple-detection-heads Machine Learning Algorithm for Detecting White Dwarfs by Jiangchuan Zhang, Yude Bu, Mengmeng Zhang, Duo Xie, Zhenping Yi

“…In our study, we propose the WD Network (WDNet) algorithm, which is a new object detection algorithm that integrates multiple advanced technologies and can directly locate WDs in images. …”
Get full text

Attention-Based CNN Fusion Model for Emotion Recognition During Walking Using Discrete Wavelet Transform on EEG and Inertial Signals by Yan Zhao, Ming Guo, Xiangyong Chen, Jianqiang Sun, Jianlong Qiu

“…The designed network structure is simple and lightweight while integrating the channel attention mechanism to extract and enhance features. …”
Get full text

A Novel Long Short-Term Memory Predicted Algorithm for BDS Short-Term Satellite Clock Offsets by Tailai Wen, Gang Ou, Xiaomei Tang, Pengyu Zhang, Pengcheng Wang

“…The ultrarapid predicted clock products provided by IGS (IGU-P) and four widely used prediction methods (the linear polynomial, quadratic polynomial, gray system (GM (1,1)), and Autoregressive Integrated Moving Average (ARIMA) model) are selected to compare with the QPLSTM. …”
Get full text

TMEM45A enhances palbociclib resistance and cellular glycolysis by activating AKT/mTOR signaling pathway in HR+ breast cancer by Cui Chen, Zehong Chen, Jinze Zhao, Xinyun Wen, Hanming Yao, Zijin Weng, Huiping Xiong, Zongheng Zheng, Juekun Wu

“…Subsequent gene set enrichment analysis (GSEA) confirms that TMEM45A activates the AKT/mTOR signaling pathway, which is integral to cell cycle progression and glycolysis. …”
Get full text

Machine Learning Model for Imbalanced Cholera Dataset in Tanzania by Judith Leo, Edith Luhanga, Kisangiri Michael

“…Over the past decades, there have been great achievements in developing epidemic models for the proper prediction of cholera. However, the integration of weather variables and use of machine learning techniques have not been explicitly deployed in modeling cholera epidemics in Tanzania due to the challenges that come with its datasets such as imbalanced data and missing information. …”
Get full text

Fosab, but not fosaa, plays important role in learning and memory in fish—insights from zebrafish gene knockout study by Qiuling Wang, Qiuling Wang, Qiuling Wang, Lixin Zhang, Lixin Zhang, Lixin Zhang, Chenyuan Zhu, Chenyuan Zhu, Chenyuan Zhu, Ke Lu, Ke Lu, Ke Lu, Jiaqi Wu, Jiaqi Wu, Jiaqi Wu, Xu-Fang Liang, Xu-Fang Liang, Xu-Fang Liang

“…Additionally, the phylogenetic and multiple amino acid alignment results indicated that fish fosab has a higher identity with mammals Fos.Discussion: By integrating the above results, we found that fosab, but not fosaa, may possess a learning and memory function in fish. …”
Get full text

Outcomes of Joint Arthrodesis in Patients With Systemic Sclerosis by Melanie Bertolino, BS, Kyra A. Benavent, BS, Zachary Li, BS, Dafang Zhang, MD, Philip E. Blazar, MD, Brandon E. Earp, MD

“…Methods: A retrospective review was performed of all patients who underwent digital joint arthrodesis of the proximal IP (PIP), distal IP, or thumb IP joints between September 1, 2006, and December 31, 2019, at an integrated health system comprising two level-I trauma centers and two community teaching hospitals. …”
Get full text

Land subsidence and rebound response to groundwater recovery in the Beijing Plain: A new hydrological perspective by Dexin Meng, Beibei Chen, Huili Gong, Shubo Zhang, Rui Ma, Chaofan Zhou, Kunchao Lei, Lewei Xu, Xincheng Wang

“…Hence, Sentinel-1A and InSAR were used to investigate surface deformation in 2016–2022, and a new Transfer Function Analysis (TFA) framework was proposed by integrating deformation, precipitation, wells, and hydrogeological data. …”
Get full text

Progress Analysis and Development Prospects of Soil Ecological and Environmental Effects of Interlayer Construction by JIA Zhenjiang, WU Yangyang, LI Wangcheng, MA Dongxiang, CHEN Jihong, GAO Susu, NIU Xiaoxiao, XU Tianyuan

“…This also includes developing and integrating cost-effective and practical interlayer laying technology and supporting equipment, as well as screening and optimizing key technologies and operational parameters for interlayer construction suitable for various climate conditions, soil textures, crop layouts, and farmland management methods. …”
Get full text

One-pot fabrication of highly porous morphology of ferric oxide-ferric oxychloride/poly-O-chloroaniline nanocomposite seeded on poly-1H pyrrole: Photocathode for green hydrogen gen... by Rabia Mohamed, Alnuwaiser Maha Abdallah

“…A novel photocathode has been fabricated, featuring a highly porous ferric oxide-ferric oxychloride/poly-O-chloroaniline (Fe2O3-FeOCl/POCA) nanocomposite, integrated onto a poly-1H pyrrole substrate. This photocathode was synthesized using a one-pot technique, which involves the oxidation of o-chloroaniline in the presence of iron sources, resulting in the incorporation of iron oxide and iron oxychloride within the polymer matrix. …”
Get full text

The Explanation of Urban System Transformations in the Tehran\'s megalopolis region by Hosein Khorashadi Zadeh, Mohammad Solimani mehranjani, Simin Tavallaei, Reza kheyroddin, Ghahraman Abdoli

“…Based on the notions and assumptions of the discourse of “new urban regionalism”, there is a close relationship between the "spatial morphological structure" and the "spatial division of labor" in a megalopolis region, and solving existing problems in one without another is not possible, because they can either act in the direction of positive reinforcement and support, or in order to weaken and become an obstacle to each other; therefore, what is meant by the problem of achieving equilibrium and integration in the spatial structure and the functional system in a megalopolis region, will not be possible without recognizing the nature and relationship between these two. …”
Get full text

Fiber length distribution characterizes the brain network maturation during early school-age by Yanlin Yu, Qing Cai, Longnian Lin, Chu-Chung Huang

“…Finally, simulation tests on healthy adults further supported that the decrease in long-range connections and increase in short-range connections contributed to enhanced network segregation and integration, respectively. Our results suggest that the dual process of short- and long-range fiber changes reflects a cost-efficient strategy for optimizing network organization during this critical developmental stage.…”
Get full text

Unraveling the heterogeneity of WHO grade 4 gliomas: insights from clinical, imaging, and molecular characterization by Haihui Jiang, Xijie Wang, Xiaodong Chen, Shouzan Zhang, Qingsen Ren, Mingxiao Li, Ming Li, Xiaohui Ren, Song Lin, Yong Cui

“…The predictive model for A4, incorporating age, tumor margin, and CnCE, achieved an AUC of 0.890 in the training set and 0.951 in the validation set. Conclusion Integrating molecular and clinical criteria improves prognostication in Grade 4 gliomas. …”
Get full text

A multi-scale rotated ship targets detection network for remote sensing images in complex scenarios by Siyu Li, Fei Yan, Yunqing Liu, Yuzhuo Shen, Lan Liu, Ke Wang

“…The network adopts a CNN-Transformer hybrid architecture for collaborative feature extraction and integrates our proposed Coordinate-Aware Pyramid Feature Aggregation module (CAPP). …”
Get full text

Enhancing immunotherapy efficacy with synergistic low-dose radiation in metastatic melanoma: current insights and prospects by Zahid Rafiq, Mingyo Kang, Hampartsoum B. Barsoumian, Gohar S. Manzar, Yun Hu, Carola Leuschner, Ailing Huang, Fatemeh Masrorpour, Weiqin Lu, Nahum Puebla-Osorio, James W. Welsh

“…Furthermore, we explore the challenges associated with LDRT’s integration into combination therapies, addressing crucial factors such as optimal dosage, fractionation, treatment frequency, and synergy with other pharmacological agents. …”
Get full text

Digital transformation of relocated higher education institutions in Ukraine under martial law by Hanna Alieksieieva, Nataliia Kravchenko, Larysa Horbatiuk, Tetyana Nestorenko, Viktoriia Zhyhir, Antonina Kalinichenko, Yana Glazova

“…Methodologically, the study integrates qualitative interviews and quantitative analysis, exploring how cloud technologies, learning management systems, and AI-driven chatbots contributed to continuity in education. …”
Get full text