Research on Land Surface Thermal-Hydrologic Exchange in Southern China under Future Climate and Land Cover Scenarios by Jianwu Yan, Baozhang Chen, Min Feng, John L. Innes, Guangyu Wang, Shifeng Fang, Guang Xu, Huifang Zhang, Dongjie Fu, Huimin Wang, Guirui Yu, Xiaomin Sun

“…Therefore, studying the comprehensive effects of climate and land cover changes on land surface water and heat exchanges enables us to well understand the formation mechanism of regional climate and predict climate change with fewer uncertainties. This study investigated the land surface thermal-hydrologic exchange across southern China for the next 40 years using a land surface model (ecosystem-atmosphere simulation scheme (EASS)). …”
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Efficient Moving Object Segmentation in LiDAR Point Clouds Using Minimal Number of Sweeps by Zoltan Rozsa, Akos Madaras, Tamas Sziranyi

“…The model learns to associate features from the two modalities, allowing it to predict dynamic objects even in the absence of a map and the camera modality. …”
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Discovery of MicroRNAs and Their Target Genes Related to Drought in Paulownia “Yuza 1” by High-Throughput Sequencing by Minjie Deng, Yabing Cao, Zhenli Zhao, Lu Yang, Yanfang Zhang, Yanpeng Dong, Guoqiang Fan

“…Among them, 77 miRNAs were differentially expressed between drought-treated Paulownia “yuza 1” and the control (60 downregulated and 17 upregulated). The predicted target genes were annotated using the GO, KEGG, and Nr databases. …”
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Dynamic and Static Nature of Br4σ(4c–6e) and Se2Br5σ(7c–10e) in the Selenanthrene System and Related Species Elucidated by QTAIM Dual Functional Analysis with QC Calculations by Satoko Hayashi, Taro Nishide, Waro Nakanishi

“…The ABr-∗-ABr and ABr-∗-BBr interactions are predicted to have the CT-TBP (trigonal bipyramidal adduct formation through charge transfer) nature and the typical hydrogen bond nature, respectively. …”
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Enhancing Road Scene Segmentation With an Optimized DeepLabV3+ by Zhe Ren, Libao Wang, Tianming Song, Yihang Li, Jian Zhang, Fengfeng Zhao

“…Semantic segmentation, as a dense predictive task, is inevitably affected by various external factor, making common road image semantic segmentation models unable to meet dual demands of high accuracy and real-time performance in unstructured road scenarios. …”
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Factors Affecting the Length of Hospital Stay in Hypercapnic Respiratory Failure by Maşide Ari, Tarkan Ozdemir, Murat Yildiz, Deniz Celik, Eren Usul, Emrah Ari, Ömer Faruk Tüten

“…Albumin levels of <3.25 g/dL and CCI scores of ≥5 were linked to longer stays, with this combined evaluation offering greater predictive value. These factors can guide patient management.…”
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Biomarker panel for early detection of uterine cancer by Nemali Deepthi Deepthi Priya, NANDA KUMAR K V, DEVARAJAPPAGARI BINDU, KASIREDDY LIKHITHA, MEKALA SIVA CHARANI

“…Prognostic biomarkers in uterine cancer have emerged as indispensable tools for predicting disease progression and patient outcomes. …”
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SARS-CoV-2 Evolution: Implications for Diagnosis, Treatment, Vaccine Effectiveness and Development by Fabrizio Angius, Silvia Puxeddu, Silvio Zaimi, Serena Canton, Sepehr Nematollahzadeh, Andrea Pibiri, Ilenia Delogu, Gualtiero Alvisi, Meng Ling Moi, Aldo Manzin

“…SARS-CoV-2 is characterized by rapidly evolving mutations, especially in (but not limited to) the spike protein, complicating predictions about its evolutionary trajectory. These mutations have significantly affected transmissibility, immune evasion, and vaccine efficacy, leading to multiple pandemic waves with over half a billion cases and seven million deaths globally. …”
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Changes of temporomandibular joint space volume during 1 year after transoral vertical ramus osteotomy in patients with mandibular asymmetry by Sung Jun Bae, Hae-Seong Yong, Haneul Lee, Hye-Sun Kim, Jong-Ki Huh, Jae-Young Kim

“…This study can provide the basis in TMJ spatial change and predicting the prognosis after TOVRO in facial asymmetry.…”
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Nonfluent/Agrammatic PPA with In-Vivo Cortical Amyloidosis and Pick’s Disease Pathology by Francesca Caso, Benno Gesierich, Maya Henry, Manu Sidhu, Amanda LaMarre, Miranda Babiak, Bruce L. Miller, Gil D. Rabinovici, Eric J. Huang, Giuseppe Magnani, Massimo Filippi, Giancarlo Comi, William W. Seeley, Maria Luisa Gorno-Tempini

“…The role of biomarkers in predicting pathological findings in the frontotemporal dementia (FTD) clinical spectrum disorders is still being explored. …”
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PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection by Narongrid Seesawad, Piyalitt Ittichaiwong, Thapanun Sudhawiyangkul, Phattarapong Sawangjai, Peti Thuwajit, Paisarn Boonsakan, Supasan Sripodok, Kanyakorn Veerakanjana, Komgrid Charngkaew, Ananya Pongpaibul, Napat Angkathunyakul, Narit Hnoohom, Sumeth Yuenyong, Chanitra Thuwajit, Theerawit Wilaiprasitporn

“…<italic>Methods:</italic> <italic>PseudoCell</italic> leverages a combination of pathologist-provided centroblast labels and pseudo-negative labels generated from undersampled false-positive predictions based on cell morphology features. This approach reduces the reliance on time-consuming manual annotations. …”
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Validation of Effective Models for Simulation of Thermal Stratification and Mixing Induced by Steam Injection into a Large Pool of Water by Hua Li, Walter Villanueva, Markku Puustinen, Jani Laine, Pavel Kudinov

“…The Effective Heat Source (EHS) and Effective Momentum Source (EMS) models have been proposed to predict the development of thermal stratification and mixing during a steam injection into a large pool of water. …”
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Dynamical analysis of a mathematical model on the spread of diphtheria disease with vaccination completeness factors by Nailul Izzati, Nanndo Yannuansa, Imamatul Ummah, Dian Anisa Rokhmah Wati, Elly Indahwati, Silviana Maya Purwasih, Nur Kholis

“…To address the re-emerging of diphtheria, various studies have been conducted, one of which is through mathematical modeling, which can be useful in predicting the dynamics of disease spread and devising strategies to control it. …”
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Cavitation dynamics and thermodynamic effect of R134a refrigerant in a Venturi tube by Beile Zhang, Ze Zhang, Xufeng Fang, Rong Xue, Shuangtao Chen, Yu Hou

“…This study provides insights into the complex cavitation dynamics, especially in R134a refrigerant systems, and provides an approach for accurately predicting and managing cavitation in various industrial applications.…”
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Unleashing Dairy Manure's Biogas Potential: A Michaelis-Menten Modeling Approach by Javad Rezaeifar, Abbas Rohani, Mohammadali Ebrahimi-Nik

“…The results demonstrate that the Michaelis-Menten model exhibits sufficient predictive capability for estimating cumulative methane production during the digestion process. …”
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Biphasic Chromatin Structure and FISH Signals Reflect Intranuclear Order by Jyoti P. Chaudhuri, Eva Kasprzycki, Mathew Battaglia, John R. McGill, Anton Brøgger, Joachim-U. Walther, Albrecht Reith

“…Similarly, a genome-wide monoallelic replication may tilt the balance of heterozygosity resulting in aneusomy, initiating early events in malignant transformation and in predicting cancer mortality.…”
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A Clinical Prospective Observational Cohort Study on the Prevalence and Primary Diagnostic Accuracy of Occult Vertebral Fractures in Aged Women with Acute Lower Back Pain Using Mag... by Atsushi Terakado, Sumihisa Orita, Kazuhide Inage, Go Kubota, Tomohiro Kanzaki, Hiroshi Mori, Yuji Shinohara, Junichi Nakamura, Yusuke Matsuura, Yasuchika Aoki, Takeo Furuya, Masao Koda, Seiji Ohtori

“…Furthermore, osteoporotic patients tend to show increased prevalence of VF (87.5%). The predictive values in detecting VF on the initial plain X-ray were as follows: sensitivity, 51.3%; specificity, 75.0%; and accuracy rate, 56.7%. …”
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Clinical Characteristics of Spinal Levobupivacaine: Hyperbaric Compared with Isobaric Solution by Vimolluck Sanansilp, Travuth Trivate, Phakaporn Chompubai, Shusee Visalyaputra, Pattipa Suksopee, Ladda Permpolprasert, Benno von Bormann

“…Our results suggest that hyperbaric levobupivacaine was more predictable for sensory block level and more effective for surgical procedures with lower abdominal approach. …”
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Current biomarkers of prostate cancer by I. A. Aboian, E. N. Fedotova, A. N. Shevchenko, S. M. Pakus, A. Yu. Maximov, E. V. Filatova, I. A. Khomutenko, Е. F. Komarova, N. K. Guskova

“…To determine aggressiveness and predict the outcome of the disease, tissue multigenic tests can be used, such as: T2-ERG, ExoDx, SelectMDx and ConfirmMDx, Prolaris, Oncoytype DX, Decipher. …”
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Single-cell sequencing elucidates the mechanism of NUSAP1 in glioma and its diagnostic and prognostic significance by Meng-Yu Zhao, Zhao-Lei Shen, Hongzhen Dai, Wan-Yan Xu, Li-Na Wang, Yu- Gu, Jie-Hui Zhao, Tian-Hang Yu, Cun-Zhi Wang, Jia-feng Xu, Guan-Jun Chen, Dong-Hui Chen, Wen-Ming Hong, Wen-Ming Hong, Fang Zhang

“…We found that elevated NUSAP1 expression correlated with poor prognosis, prompting further investigation of its functional role through both cellular and animal studies.ConclusionsNUSAP1-based risk models hold potential as predictive and therapeutic tools for personalized glioma treatment. …”
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