SliceScore: A Network Function Sharing Aware and Slice-Oriented DDoS Filtering Approach by Omer Zekvan Yilmaz, Kubra Kalkan, Fatih Alagoz

“…Recently, network function (NF) sharing has been proposed in the literature in order to further exploit unused resources and lower the costs for network operators. …”
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Meromorphic functions sharing the zeros of lower degree symmetric polynomials in weighted wider sense by J. Banerjee, A. Banerjee

Subjects: “…meromorphic functions…”
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Enhancing the secrecy of a cryptographic key generated using synchronized artificial neural networks1 by M. L. Radziukevich, V. F. Golikov

“…To solve the problem of increasing the    confidentiality of the generated shared secret, if it is used as a cryptographic key, it is proposed to use the  mixing a certain number of results of individual synchronizations (convolution). …”
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Joint Cognition: Thought Contagion and the Consequences of Cooperation when Sharing the Task of Random Sequence Generation. by John Nicholas Towse, Andrea Sarah Towse, Satoru Saito, Yukio Maehara, Akira Miyake

“…Generating random number sequences is a popular psychological task often used to measure executive functioning. …”
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Research on privacy data security sharing scheme based on blockchain and function encryption by Yi LI, Jinsong WANG, Hongwei ZHANG

“…Blockchain technology has provided new ideas for data validation, data traceability, data trustworthiness, and data availability in data sharing, but privacy data security in data sharing still faces many challenges.Firstly, the current status of blockchain-based data sharing research was reviewed.Then a secure sharing model of privacy data was proposed.By encrypting the privacy data through function cryptography, and generating the proof of computational correctness through zero-knowledge proof technology, a secure and reliable data sharing with “data available but not visible” was realized.The experimental results show that the sharing delay and economic overhead of the model are within the acceptable range, which demonstrates the security and feasibility of the model.…”
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Developing generative AI functionalities in a social LMS by Mengyuan Zhao, Puja Kumari, Eashwar Madhavan Perumal, Zhen Hou

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Subjective Evaluation of Generative AI-Driven Dialogues in Paired Dyadic and Topic-Sharing Triadic Interaction Structures by Kaori Abe, Changqin Quan, Sheng Cao, Zhiwei Luo

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Blockchain-Based Modified AES with Chaotic Random Key Generation for Secured E-Medical Data Sharing by Vinothkumar.M, R. Saravana Ram

“…Though traditional methods have used algorithms based on these concepts for secured EMD sharing, they lacked with regard for privacy and security. …”
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Direct Conditional Score Modeling for Accelerated MRI Reconstruction by Hongki Lim

“…This paper presents a novel approach called Direct Conditional Score (DCS) modeling that directly models the conditional score function, eliminating the need for separate likelihood terms. …”
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Generating diversity and securing completeness in algorithmic retrosynthesis by Florian Mrugalla, Christopher Franz, Yannic Alber, Georg Mogk, Martín Villalba, Thomas Mrziglod, Kevin Schewior

“…In order to generate a diverse set of synthesis plans for chemists to select from, we capture the concept of diversity in a novel chemical diversity score (CDS). …”
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Enhancing Efficiency in Trustless Cryptography: An Optimized SM9-Based Distributed Key Generation Scheme by Jinhong Chen, Xueguang Zhou, Wei Fu, Yihuan Mao

“…Our scheme introduces a (t, n)-threshold system that functions without a trusted center, addressing the vulnerability of single points of failure in conventional key generation centers (KGCs). …”
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High survivorship and excellent functional outcome in third‐generation patellofemoral arthroplasty by Mustafa Hariri, Hannah Schwab, Kevin‐Arno Koch, Paul Mick, Timo Nees, Johannes Weishorn, Tilman Walker, Tobias Reiner

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Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data by Ísak Valsson, Matthew T. Warren, Charlotte M. Deane, Aniket Magarkar, Garrett M. Morris, Philip C. Biggin

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Prognostic value of the Naples Prognostic Score in adult chronic obstructive pulmonary disease: NHANES 2005–2018 by Yue Kang, Yue Kang, Yingjian Tan, Yongxin Tie, Yujing Zhang, Chenyu Cui, Yuanyuan Zhao

“…BackgroundPrevious studies have demonstrated that the Naples Prognostic Score (NPS) provides strategic direction in the prognosis of malignant illness. …”
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Second-generation long-acting injectable antipsychotics in schizophrenia: patient functioning and quality of life by Montemagni C, Frieri T, Rocca P

“…Meaningful differences have been observed between SGA-LAIs in the onset of their clinical efficacy and in the relationships between symptoms and functioning scores. Moreover, head-to-head studies comparing the effects of SGA-LAIs on classical measures of psychopathology and functioning are available mainly on risperidone LAI, while those comparing olanzapine LAI with other SGA-LAIs are still lacking. …”
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The function of ASR-generated live transcription in simultaneous interpreting: trainee interpreters’ perceptions from post-task interviews by Xiaoman Wang, Binhua Wang, Lu Yuan

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Clinical functioning information tool – coronavirus disease 2019 (ClinFIT COVID-19): psychometric evaluation and development of an interval-scaled functioning score across the care... by Masahiko Mukaino, Catarina Aguiar Branco, Alia Alghwiri, Sonia Amato, Antonios Kontaxakis, Mihai Berteanu, Hüma Bölük Şenlikci, Pinar Borman, Salmane Diouane, Maryam Fourtassi, Francesca Gimigliano, Abderrazak Hajjioui, Xiaolei Hu, Sinforian Kambou, Cho-I Lin, Mohamed I. Mabrouk, Evanthia Mitsiokapa, Remus Iulian Nica, Christina-Anastasia Rapidi, Gabriella Serlenga, Arianna Silvestri, Sinikka Tarvonen-Schröder, Clara Ursescu, Arja Viinanen, Panagiotis Vorniotakis, Melissa Selb

“…Methods: Three context-specific versions (13–16 ICF categories) of ClinFIT-COVID-19 were administered to collect information on patient functioning. Rasch analysis examined psychometric properties and generated conversion tables from ordinal raw scores to a 0–100 interval metric. …”
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Protocol to analyze deep-learning-predicted functional scores for noncoding de novo variants and their correlation with complex brain traits by Enrique Mondragon-Estrada, Sarah U. Morton

“…Here, we present a protocol for prioritizing variants by generating deep-learning-predicted functional scores and relating them with brain traits. …”
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An Efficient Universal Generating Function-Based Analyzing Approach for Multistate System with Imperfect Coverage Failure by Zheng Li, Jinlei Qin

“…Using the technique of the universal generating function (UGF), a component’s UGF expression with ICF can be incorporated in two steps. …”
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A pilot study of Telco’s next generation IT architecture evolution: business function virtualization (BFV) by Wen QIAO, Xiaozheng WANG, Zhenqiang SUN, Gan REN, Yunxin LIU, Aidong YANG, Peng WANG, Da WANG, Xiaozhou YE, Ye OUYANG

“…With the development of information and communication technologies, traditional telecom business support systems (BSS) are facing the challenge of agilely meeting the flexible needs from business.Application scenarization, service standardization, technology componentization and resource sharing have gradually become the consensual features among the evolution of telecom BSS architectures.A business function virtualization (BFV)-based BSS architecture, which is based on cloud-native, micro-services, containers, and DevOps technologies, was proposed.By embedding four components into the architecture, including standardized virtual network functions, modular design orchestrator, micro-service management framework, and multi-plane elastic computing controller, the system is able to deploy unitized system and distributed cloud.Therefore, the requirements of flexible telecom business development and frequent evolution of the system could be satisfied by the proposed BFV-based BSS architecture.In other words, the lightweight delivery of IT technologies and agile business support could be fulfilled by using the proposed BFV-based BSS architecture, and the proposed architecture will eventually become the standard architecture of next generation telecom BSS.…”
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