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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Developing generative AI functionalities in a social LMS by Mengyuan Zhao, Puja Kumari, Eashwar Madhavan Perumal, Zhen Hou

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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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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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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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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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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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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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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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PROBABILITY ANALYSIS ON LAST PLY FAILURE OF COMPOSITE LAMINATES BASED ON UNIVERSAL GENERATING FUNCTION METHOD by LIU ChengLong, ZHOU JinYu, QIU Rui, ZHUANG BaiLiang, HU Jian

“…The reliability of composite laminates is analyzed by universal generating function method. Load,strength parameters universal generating function,complex operators and the corresponding performance structure functions are defined,the resistance of the single layer,resistance sequences and system resistance universal generating function are constructed respectively. …”
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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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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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Erectile Function and Sexual Activity Are Declining in the Younger Generation: Results from a National Survey in Japan by Akira Tsujimura, Shinichiro Fukuhara, Koji Chiba, Tsuyoshi Yoshizawa, Hikaru Tomoe, Masato Shirai, Kazunori Kimura, Eiji Kikuchi, Eri Maeda, Yoshikazu Sato, Atsushi Nagai, Koichi Nagao, Haruaki Sasaki

“…The Japanese Society for Sexual Medicine conducted a nationwide survey on the actual status of sexual function targeting men over 20 years old in Japan using validated questionnaires commonly used in clinical practice. …”

How doctors generate diagnostic hypotheses: a study of radiological diagnosis with functional magnetic resonance imaging. by Marcio Melo, Daniel J Scarpin, Edson Amaro, Rodrigo B D Passos, João R Sato, Karl J Friston, Cathy J Price

“…<h4>Methodology and principal findings</h4>To test this proposal we developed an experimental paradigm with functional magnetic resonance imaging (fMRI) using radiological diagnosis as a model. …”
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Nutritional risk, functional decline, and symptom burden in lung cancer: a study based on PG-SGA scores and biochemical data by Shasha Shen, Shasha Shen, Shiyun Xing, Shiyun Xing, Tingting Shen, Li Niu, Xiaojing Tian, Xiaojing Tian, Hu Ma, Hu Ma, Xiaoxia Gou, Xiaoxia Gou

“…Demographic characteristics, cancer staging, and treatment details were collected. Nutritional and functional status were assessed using the Patient-Generated Subjective Global Assessment (PG-SGA), Nutritional Risk Screening 2002 (NRS-2002), and Karnofsky Performance Status (KPS) scores. …”
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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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A lightweight neural attention-based model for service chatbots by Sinarwati Mohamad Suhaili, Mohamad Nazim Jambli

“…This study introduces a lightweight neural attention mechanism designed to enhance the scalability of service chatbots by integrating a scalar function into the existing attention score computation. …”
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