The impact of action descriptions on attribution of moral responsibility towards robots by Ziggy O’Reilly, Serena Marchesi, Agnieszka Wykowska

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Complete O α s 2 $$ \mathcal{O}\left({\alpha}_s^2\right) $$ corrections to the leptonic invariant mass spectrum in b → X c l ν ¯ l $$ b\to {X}_cl{\overline{\nu}}_l $$ decay by Mateusz Czaja, Mikołaj Misiak, Abdur Rehman

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Phenomenology of keV scale sterile neutrino dark matter with S4 flavor symmetry by Nayana Gautam, Mrinal Kumar Das

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Harnessing artificial intelligence for predicting breast cancer recurrence: a systematic review of clinical and imaging data by Jaqueline Alvarenga Silveira, Alexandre Ray da Silva, Mariana Zuliani Theodoro de Lima

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Simultaneous tACS-fMRI reveals state- and frequency-specific modulation of hippocampal-cortical functional connectivity by Max Kaiser, Yuejuan Wang, Sanne Ten Oever, Felix Duecker, Alexander T. Sack, Vincent van de Ven

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Cultural diversity shaped neolithic subsistence in the Carpathian Basin by M. L. C. Depaermentier, M. Kempf, E. Bánffy, K. W. Alt

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Analysis of Harmful Heavy Metals and Carbonaceous Components in Urban School PM2.5 by Seok Won Kang, Sumin Lee, Jiyou Kwoun, Tae Jung Lee, Young Min Jo

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Preimplantation aneuploidy screening using embryonic cell-free DNA isolated from spent culture medium: a case report by Lama Khudari, Marwan Halabi, Sahar Al Fahoum

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Collider and CMB complementarity of leptophilic dark matter with light Dirac neutrinos by Debasish Borah, Nayan Das, Sahabub Jahedi, Bhavya Thacker

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Unveiling the nature of cathodoluminescence from photon statistics by Sotatsu Yanagimoto, Naoki Yamamoto, Tatsuro Yuge, Takumi Sannomiya, Keiichirou Akiba

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Coalescence of carbon nanotubes while preserving the chiral angles by Akira Takakura, Taishi Nishihara, Koji Harano, Ovidiu Cretu, Takeshi Tanaka, Hiromichi Kataura, Yuhei Miyauchi

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Absence of one-loop effects on large scales from small scales in non-slow-roll dynamics. Part 2. Quartic interactions and consistency relations by Jacopo Fumagalli

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QeMFi: A Multifidelity Dataset of Quantum Chemical Properties of Diverse Molecules by Vivin Vinod, Peter Zaspel

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Adaptive temporal-difference learning via deep neural network function approximation: a non-asymptotic analysis by Guoyong Wang, Tiange Fu, Ruijuan Zheng, Xuhui Zhao, Junlong Zhu, Mingchuan Zhang

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Exploring the typhoon intensity forecasting through integrating AI weather forecasting with regional numerical weather model by Hongxiong Xu, Yang Zhao, Zhao Dajun, Yihong Duan, Xiangde Xu

“…Abstract Recent advancements in artificial intelligence (AI) have notably enhanced global weather forecasting, yet accurately predicting typhoon intensity remains challenging. …”
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Dual-targeting CAR T cells for B-cell acute lymphoblastic leukemia and B-cell non-Hodgkin lymphoma by Gustavo de Oliveira Canedo, Claire Roddie, Persis J. Amrolia

“…Abstract: Relapse after CD19-directed chimeric antigen receptor (CAR) T-cell therapy remains a major challenge in B-cell acute lymphoblastic leukemia (ALL) and B-cell non-Hodgkin lymphoma (B-NHL). …”
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Hospitalization outcomes in people living with HIV on Dolutegravir-based regimen in Mwanza, Tanzania: a comparative cohort by Godfrey A. Kisigo, Eric Barongo, Benson Issarow, Cody Cichowitz, Bahati Wajanga, Samuel Kalluvya, Robert N. Peck

“…Abstract Introduction Hospitalized people living with HIV (PLWH) experienced extremely high mortality rates in the first year after an index hospitalization in the pre-Dolutegravir (DTG) era. …”
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Enhancing zero-shot stance detection via multi-task fine-tuning with debate data and knowledge augmentation by Qinlong Fan, Jicang Lu, Yepeng Sun, Qiankun Pi, Shouxin Shang

“…Abstract In the real world, stance detection tasks often involve assessing the stance or attitude of a given text toward new, unseen targets, a task known as zero-shot stance detection. …”
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Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models by S Srishti, Pratyush Agrawal, Padmavati Kulkarni, Hrishikesh Chandra Gautam, Meenakshi Kushwaha, V. Sreekanth

“…Abstract In this study, we combined state-of-the-art data modelling techniques (machine learning [ML] methods) and data from state-of-the-art low-cost particulate matter (PM) sensors (LCSs) to improve the accuracy of LCS-measured PM2.5 (PM with aerodynamic diameter less than 2.5 microns) mass concentrations. …”
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Securing fog computing in healthcare with a zero-trust approach and blockchain by Navjeet Kaur, Ayush Mittal, Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Kashif Saleem, Ehab Seif Ghith

“…Abstract As healthcare systems increasingly adopt fog computing to improve responsiveness and real-time data processing at the edge, significant security challenges emerge due to the decentralized architecture. …”
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