Cache of cryptographic key based on query popularity by Wei JIN, Fenghua LI, Ziyan ZHOU, Xiyang SUN, Yunchuan GUO

“…In the current HDFS (Hadoop Distributed File System) key management system, the encryption zone keys are all loaded into the memory during startup of key service.With the increase of the key resource, the occupied memory space also grows, bringing the bottleneck of memory space and key indexing.There are three challenges induced: how to organize cached data and efficiently handle queries with missed keys, how to adjust key resources in the cache, and how to accurately predict the use of keys.In order to achieve fine-grained and efficient caching and improve the efficiency of key use, key caching optimization was considered from three aspects: key index data structure, key replacement algorithm, and key prefetching strategy.An architecture of key cache replacement module was designed, and then a key replacement algorithm based on the query frequency was set.Specifically, from the perspective of heat computing and key replacement, the potential influencing factors affecting the popularity of key cache were analyzed which considered the file system and user of key management system.Besides, the basic model of key usage popularity was constructed.The hash table and minheap linked list was combined to maintain the heat of the key in use, and the elimination algorithm was set based on heat identification.The key in the cache was dynamically updated, and key usage was adjusted by the time controller, so as to realize key replacement according to the key heat.For key prefetching, key usage rules were obtained through log mining and periodical usage analyzing of key provisioning policies, which considered business processes and the time period dimension of user accessing.Experimental results show that the proposed key replacement algorithm can effectively improve the hit rate of cache queries, reduce memory usage, and ameliorate the impact of key file I/O interaction on query performance.…”
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Developing a hybrid model for comparative analysis of financial data clustering algorithms by Mojtaba Movahedi, Mahdi Homayounfar, Mehdi Fadaei, Mansour Soufi

“…Purpose: Clustering algorithms are useful tools for understanding data structure and classifying them into different data sets. …”
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Simulation of discrete control systems with parallelism of behavior by D. I. Cheremisinov, L. D. Cheremisinova

“…The key concepts of the TLM model for simulating the descriptions of control algorithms in the PRALU language are defined: data structure, transactions, processes, and a barrier mechanism for synchronization of parallel processes. …”
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LINKS. A System for Historical Family Reconstruction in the Netherlands by Kees Mandemakers, Gerrit Bloothooft, Fons Laan, Joe Raad, Rick J. Mourits, Richard L. Zijdeman

“…We present the background and philosophy of this matching system and explain its data structure and functioning. Currently the core data of the LINKS system consists of indexed civil certificates. …”
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Multichannel Enhanced Millimeter-Wave SAR Imaging via Low-Rank Tensor-Train Decomposition by Bangjie Zhang, Gang Xu, Xiang-Gen Xia, Jianlai Chen, Rui Zhou, Shuai Shao, Wei Hong

“…In addition, ket augmentation is introduced to exhibit the local data structure more clearly than the original tensor under TT decomposition. …”
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Advanced GPU Techniques for Dynamic Remeshing and Self-Collision Handling in Real-Time Cloth Tearing by Jong-Hyun Kim, Jung Lee

“…In this paper, we propose a new data structure that enables GPU-friendly calculations. …”
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A novel approach to analyzing the evolution of SARS-CoV-2 based on visualization and clustering of large genetic data compactly represented in operative memory by A. Yu. Palyanov, N. V. Palyanova

“…Aligning all genomes versus the initial Wuhan-Hu-1 reference sequence allows each to be represented as a data structure containing lists of point mutations, deletions and insertions. …”
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Introduction to deep learning methods for multi‐species predictions by Yuqing Hu, Sara Si‐Moussi, Wilfried Thuiller

“…Specifically, we introduced four distinct deep learning models that use site × species community data but differ in their internal structure or on the input environmental data structure: (1) a multi‐layer perceptron (MLP) model for tabular data (e.g. in‐situ/raster climate or soil data), (2) a convolutional neural network (CNN) and (3) a vision transformer (ViT) models tailored for image data (e.g. aerial ortho‐photographs, satellite imagery), and a multimodal model that integrates both tabular and image data. …”
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First results of the EuroHeart program by András Jánosi, Zoltán Járai

“…It was proposed to establish international cooperation involving national registers using a uniform nomenclature and data structure. The Board of the Hungarian Society of Cardiology joined the program in 2021, which was made possible by the Hungarian Myocardial Infarction Registry (HUMIR), which has been operating continuously since 2014. …”
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Peningkatan Performa Komputasi Sistem Navigasi Transportasi Publik Pada Perangkat Bergerak Melalui Penerapan Teknik Kompresi Data dan Penyederhanaan Graf by Aryo Pinandito, Agi Putra Kharisma, Muhammad Aminul Akbar, Mochamad Chandra Saputra

“…The plans are generated from the implementation of Dijkstra's algorithm, which is modeled in the graph data structure. This study determines the effectiveness of using JSON format, the bandwidth saved for distributing data on the Internet from Zlib data compression and Base64 encoding, and analyzes additional memory usage due to compression and the impact of data simplification through a visual approach on transport network graphs with the Douglas-Peucker algorithm. …”
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Helping people with psychosis with a low-cost intervention DIALOG+: protocol for the economic evaluation in a randomised control trial in India and Pakistan by Victoria Jane Bird, Sara Evans-Lacko, Lakshmi Venkatraman, Padmavati Ramachandran, Ashar Muhammad Malik, Renata Peppl, Sana Zehra Zehra Sajun, Onaiza Qureshi, Krishna Priya, Hufsa Sarwar

“…Incremental cost, incremental effectiveness and incremental cost-effectiveness ratios will be calculated using linear regression models with a hierarchical data structure. A probabilistic sensitivity analysis will be carried out to test for the uncertainty surrounding the estimates of cost-effectiveness.Discussion This study will provide evidence of a patient-centred approach to improve the quality of community-based care for people with psychosis in India and Pakistan. …”
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Evaluation of gestational nonpersistent pesticide exposure with newborn size and gestational length in rural Ghana using a novel time-varying extension of multiple informant models by Wylie BJ, Kaali S, Duttweiler L, Ae-Ngibise KA, Mujtaba M, Tawiah C, Gibson E, Calafat AM, Ospina M, Jack DJ, Agyei O, Lee AG, Roberts DJ, Boamah-Kaali EA, Factor-Litvak P, Modest AM, Hauser R, Coull BA, Asante KP

“…Extending multiple informant models to account for the complex data structure allowed us to discern effects in opposing directions by distinct pesticide classes. …”
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Exploring multi-level factors determining social participation of students with intellectual disabilities in inclusive physical education classes by Christoffer Klenk, Matthias Buser

“…Multi-level-modelling (MLM) was applied to analyse the data, as it enables analysing nested data structure considering variables both at individual student’s level (L1) and variables at class level (L2). …”
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Designing the entrepreneurial government model in attracting and selecting public sector human resources by Atieh sarayani, Vahid Pourshahabi, Nourmohammad yaghobi, Amin reza kamaliyan

“…In order to analyze the data, structural equation technique was used using Lisrel statistical software and Spss statistical software. …”
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Time to first antenatal care visit and its predictors among women in Kenya: Weibull gamma shared frailty model (based on the recent 2022 KDHS data) by Bizunesh Fantahun Kase, Beminate Lemma Seifu, Kusse Urmale Mare, Abdu Hailu Shibeshi, Hiwot Altaye Asebe, Kebede Gemeda, Zufan Alamrie Asmare, Yordanos Sisay Asgedom, Bezawit Melak Fente, Afework Alemu Lombebo, Tsion Mulat Tebeje

“…Shared frailty survival models were used to account for the hierarchical data structure and unobserved heterogeneity, with the Weibull gamma model identified as the best fit based on Information Criteria (AIC), and Bayesian Information Criteria (BIC). …”
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Advances in machine learning applications to resource technology for organic solid waste by Hongzhi MA, Yichan LIU, Jihua ZHAO, Fan FEI, Ming GAO, Qunhui WANG

“…Furthermore, selecting the right ML model for a specific task requires careful consideration of the data structure, the complexity of the problem, and the desired outcomes. …”
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Safety of a co-designed cognitive behavioural therapy intervention for people with type 1 diabetes and eating disorders (STEADY): a feasibility randomised controlled trialResearch... by Marietta Stadler, Natalie Zaremba, Amy Harrison, Jennie Brown, Divina Pillay, Jacqueline Allan, Rachael Tan, Salma Ayis, Emmanouela Konstantara, Janet Treasure, David Hopkins, Khalida Ismail

“…Baseline mental health data (Structured Clinical Interview for DSM-5, SCID-5RV), and secondary biomedical outcomes (HbA1c; glucose time in range; TIR) and person-reported outcome measures (PROM: Diabetes Eating Problems Survey-Revised, DEPS-R; Eating Disorder Examination Questionnaire Short, EDE-QS; Type 1 Diabetes Distress Scale, T1DDS; Generalised Anxiety Disorder Assessment, GAD-7; Patient Health Questionnaire, PHQ-9; Impact of Diabetes Profile, DIDP) were collected. …”
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Analysis of the Effect of Social Capital on Brand Performance with the Mediating Role of Employees’ Brand Citizenship Behavior by Naser Seifollahi

“…Three standard questionnaires of social capital (Nahapiet & Ghoshal, 1998), brand performance (Punjaisri & et al, 2009) and brand citizenship behavior (Marzban brand citizenship behavior questionnaire, 2016) were used to collect data. Structural equation modeling method was used to analyze the hypotheses. …”
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The application of blockchain with a comparative approach and its impact on risk, flexibility and internal control evaluation by mohammadsadegh aminipoor, HamidReza GholamniaRoshan, azadeh kiapour, Iman Dadashi

“…Blockchain is essentially a public ledger, where groups of transactions or events are recorded and stored in a chain-like data structure; this approach creates a fast yet secure way to transfer funds. …”
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The Effect of Marketing Mix on Blockchain Technology with the Mediating Role of Perceived Usefulness by Roozbeh Roshanak, Alireza Rousta, Mahmoud Ahmadi Sharif, Majid Ahmadi

“…Also, to analyze the data, structural equation modeling method using Smart-PLS3 software has been used. …”
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