Carrier Formation Dynamics in Prototypical Organic Solar Cells as Investigated by Transient Absorption Spectroscopy by Yutaka Moritomo, Kouhei Yonezawa, Takeshi Yasuda

“…Subpicosecond transient absorption spectroscopy is a powerful tool used to clarify the exciton and carrier dynamics within the organic solar cells (OSCs). …”
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Improved Sparse Channel Estimation for Cooperative Communication Systems by Guan Gui, Wei Peng, Ling Wang

“…To estimate the channel, traditional methods, that is, least squares (LS) and least absolute shrinkage and selection operator (LASSO), are based on assumptions of either dense channel or global sparse channel. …”
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Dust Scattering Albedo at Millimeter Wavelengths in the TW Hya Disk by Tomohiro C. Yoshida, Hideko Nomura, Takashi Tsukagoshi, Kiyoaki Doi, Kenji Furuya, Akimasa Kataoka

“…Even without assuming dust composition, we estimate the maximum grain size to be ~340 μ m, the power-law index of the grain size distribution to be >−4.1, and the porosity to be <0.96. …”
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Identification of a 5-Gene-Based Scoring System by WGCNA and LASSO to Predict Prognosis for Rectal Cancer Patients by He Huang, Shilei Xu, Aidong Chen, Fen Li, Jiezhong Wu, Xusheng Tu, Kunpeng Hu

“…A weighted gene coexpression network was used to identify RC-related modules. The least absolute shrinkage and selection operator analysis was performed to screen the prognostic signature panel. …”
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Crinum jagus (J. Thomps. Dandy): Antioxidant and protective properties as a medicinal plant on toluene-induced oxidative stress damages in liver and kidney of rats by Mariama, Salihu, Gaber, El-Saber Batiha, Keneth Iceland, Kasozi, George D., Zouganelis, Souty M.Z., Sharkawi, Eman, Ibrahim Ahmed, Ibe Michael, Usman, Halima, Nalugo, Juma J., Ochieng, Ibrahim, Ssengendo, Olatayo Segun, Okeniran, Theophilus, Pius, Kyobe Ronald, Kimanje, Eric Simidi, Kegoye, Ritah, Kenganzi, Fred Ssempijja

“…The phytochemical contents, absolute and relative organ weights of liver and kidneys, liver and kidney function tests, antioxidant status, as well as histological tests were analyzed using standard protocols. …”
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An analytical investigation of nonlinear time-fractional Schrödinger and coupled Schrödinger–KdV equations by Yogeshwari F. Patel, Mohammad Izadi

“…Numerical examples highlight the method’s ability to closely approximate exact solutions, with graphical and tabular comparisons illustrating the effect of the fractional order on solution behavior and validating the approach through computed absolute errors. Additionally, discussions on the modulation instability of the models reinforce the robustness of FRDTM as a powerful tool for solving complex nonlinear fractional systems.…”
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Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model by Hai-Van Thi Mai, Thuy-Anh Nguyen, Hai-Bang Ly, Van Quan Tran

“…Particularly, the determination of compressive strength of concrete using ground granulated blast furnace slag (GGBFS) is more difficult due to the complexity of the composition mix design. In this paper, an approach using random forest (RF), which is one of the powerful machine learning algorithms, is proposed for predicting the compressive strength of concrete using GGBFS. …”
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Estimation of zooplankton density with artificial neural networks (a new statistical approach) method, Elazığ-Türkiye by Bulut Hilal

“…It can be concluded from the study that ANNs are a powerful tool for understanding their relationships with the environment…”
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Kilonova/Macronova Emission from Compact Binary Mergers by Masaomi Tanaka

“…Kilonova/macronova is emission powered by radioactive decays of r-process nuclei and it is one of the most promising electromagnetic counterparts of gravitational wave sources. …”
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Photometric Selection of Type 1 Quasars in the XMM-LSS Field with Machine Learning and the Disk–Corona Connection by Jian Huang, Bin Luo, W. N. Brandt, Ying Chen, Qingling Ni, Yongquan Xue, Zijian Zhang

“…The relation between the optical-to-X-ray power-law slope parameter ( α _OX ) and the 2500 Å monochromatic luminosity ( L _2500Å ) for this subsample is ${\alpha }_{{\rm{OX}}}=(-0.156\pm 0.007)\,{\rm{log}}\,{L}_{2500\,\mathring{\rm A} }+(3.175\pm 0.211)$ with a dispersion of 0.159. …”
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Early empiric anti-Mycobacterium tuberculosis therapy for sepsis in sub-Saharan Africa: a protocol of a randomised clinical trial by Mark Conaway, David R Boulware, Scott K Heysell, Stellah G Mpagama, Christopher C Moore, Alphonce Liyoyo, Conrad Muzoora, Catherine Gitige, Bibie Said, Edwin Nuwagira, Rinah Arinaitwe, Rhina Mushagara, Peter Buzaare, Anna Chongolo, Samuel Jjunju, Precious Twesigye, Megan Null, Tania A Thomas

“…Study results will be published in peer-reviewed journals and in the popular press of Tanzania and Uganda. …”
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The Monocyte-to-Lymphocyte Ratio at Hospital Admission Is a Novel Predictor for Acute Traumatic Intraparenchymal Hemorrhage Expansion after Cerebral Contusion by Jiangtao Sheng, Tian Li, Dongzhou Zhuang, Shirong Cai, Jinhua Yang, Faxiu Ding, Xiaoxuan Chen, Fei Tian, Mindong Huang, Lianjie Li, Kangsheng Li, Weiqiang Chen

“…Semiautomated software assessed tICH expansion (defined as ≥33% or 5 mL absolute growth). MLR was acquired from routine blood tests upon admission. …”
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Nomogram for predicting early cancer-related death due to recurrence after liver resection in hepatocellular carcinoma patients with Barcelona Clinic Liver Cancer (BCLC) stage B/C:... by Zhan-Cheng Qiu, Hao-Zheng Cai, You-Wei Wu, Jun-Long Dai, Wei-Li Qi, Chu-Wen Chen, Yue-Qing Xu, Chuan Li, Tian-Fu Wen

“…The patients were randomly divided into a training cohort (n = 404) and a validation cohort (n = 268) at a ratio of 6:4. The least absolute shrinkage and selection operator (LASSO) logistic regression model was used to establish a nomogram model. …”
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High-throughput methylation sequencing reveals novel biomarkers for the early detection of renal cell carcinoma by Wenhao Guo, Weiwu Chen, Jie Zhang, Mingzhe Li, Hongyuan Huang, Qian Wang, Xiaoyi Fei, Jian Huang, Tongning Zheng, Haobo Fan, Yunfei Wang, Hongcang Gu, Guoqing Ding, Yicheng Chen

“…Comparative analysis and Least Absolute Shrinkage and Selection Operator (LASSO) regression methods were employed to identify RCC methylation signatures.Subsequently, methylation markers-based diagnostic and prognostic models for RCC were independently trained and validated using random forest and Cox regression methodologies, respectively. …”
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Optimising Access Surgery in Senior Haemodialysis Patients (OASIS): study protocol for a multicentre randomised controlled trial by Patrick WHE Vriens, Edith M Willigendael, Maarten A Lijkwan, Friedo W Dekker, Chava L Ramspek, Michiel W de Haan, Çaĝdaş Ünlü, Boudewijn DC Heggen, Koen E A van der Bogt, Marc H Hemmelder, Mickaël J C Hiligsmann, Magda M van Loon, Joris I Rotmans, Jan H M Tordoir, Geert Willem H Schurink, Maarten G J Snoeijs, Marijke J Molegraaf, Philippe WM Cuypers, Denise Nio, Cora H Arts, Jacobien C Verhave, Goos D Laverman, Aron S Bode, Marcel C Weijmer, Bas Govaert, Aaltje Y Adema, Gijs MJM Welten, Michel MPJ Reijnen, Marc JH Groeneveld, Hans S Brink, Jeroen B van der Net, Arno Kuijper, Hilde PE Peters, Roos C van Nieuwenhuizen, Rombout R Kruse, Yvonne C Schrama, Karina A de Groot, Karima Farhat

“…We will enrol 195 patients to have sufficient statistical power to detect an absolute decrease of 0.80 interventions per year.Ethics and dissemination Because of clinical equipoise, we believe it is justified to randomly allocate elderly patients to the different vascular access strategies. …”
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Whole lung radiomic features are associated with overall survival in patients with locally advanced non-small cell lung cancer treated with definitive radiotherapy by Meng Yan, Zhen Zhang, Jia Tian, Jiaqi Yu, Andre Dekker, Dirk de Ruysscher, Leonard Wee, Lujun Zhao

“…Conclusion Lung- and tumor-based radiomic features have the power to predict OS in LA-NSCLC. The combination of tumor- and lung-based radiomic features can achieve optimal performance.…”
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Quantitative evaluation of the molecular marker using droplet digital PCR by Wonseok Shin, Haneul Kim, Dong-Yep Oh, Dong Hee Kim, Kyudong Han

“…Transposable elements (TEs) constitute approximately half of Bovine genome. They can be a powerful species-specific marker without regression mutations by the structure variation (SV) at the time of genomic evolution. …”
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Risk Prediction Using Genome-Wide Association Studies on Type 2 Diabetes by Sungkyoung Choi, Sunghwan Bae, Taesung Park

“…In this report, we evaluated the performance of several statistical methods for predicting a binary trait: stepwise logistic regression (SLR), least absolute shrinkage and selection operator (LASSO), and Elastic-Net (EN). …”
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A New GLLD Operator for Mass Detection in Digital Mammograms by N. Gargouri, A. Dammak Masmoudi, D. Sellami Masmoudi, R. Abid

“…Local binary pattern (LBP) operator and its variants proposed by Ojala are a powerful tool for textures classification. …”
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LASSO–MOGAT: a multi-omics graph attention framework for cancer classification by Fadi Alharbi, Aleksandar Vakanski, Murtada K. Elbashir, Mohanad Mohammed

“…This article introduces Least Absolute Shrinkage and Selection Operator–Multi-omics Gated Attention (LASSO–MOGAT), a novel graph-based deep learning framework that integrates messenger RNA, microRNA, and DNA methylation data to classify 31 cancer types. …”
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