Data Storage - Science topic

The convergence of blockchain and Internet of Things (IoT) has become increasingly prevalent recently, as it addresses challenges such as single point of failure and security concerns associated with IoT. Blockchain offers immutable data storage, availability, and transparency, but a significant drawback lies in its inability to verify the truthful...

Educational institutions face inherent uncertainties in student performance, stakeholder priorities, and data analysis. This paper explores how cloud computing, with its data storage, analytics, and collaboration tools, can address these uncertainties in educational administration. We propose a neutrosophic framework utilizing "truth," "falsity," a...

Analytic combinatorics in several variables refers to a suite of tools that provide sharp asymptotic estimates for certain combinatorial quantities. In this paper, we apply these tools to determine the Gilbert–Varshamov lower bound on the rate of optimal codes in L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org...

Simulation software addresses complex problems that are difficult to solve analytically. Due to probabilistic elements, simulations often require multiple runs, generating critical decision-making data. However , many users are unfamiliar with the necessary persistence technologies to store and access this data, hindering effective utilisation. We...

This study investigates the design and implementation of prefetching techniques in cache memory to enhance data access speed. Prefetching uses data locality principles to predict future data requests, reducing latency and improving overall system performance. Data access speed is crucial in computing, influenced by how data is stored and retrieved....

Motivation: Exploring the variations in Hall resistance and magnetoresistance in hybrid systems of light metals and ferromagnets, even without a spin current source. These phenomena, driven by orbital angular momentum, could lead to new ways to switch magnetization and improve data storage devices.

Optically stimulated luminescence (OSL) materials hold great potential for optical data storage (ODS) and anticounterfeiting applications. Nevertheless, the scarcity of suitable luminescent materials with deep‐level traps remains a significant obstacle. Herein, a host substation strategy have been employed to tune the persistent luminescence (PersL...

Over almost 20 years, a data storage, analysis, and project administration engine (TMFdw) has been continuously developed in a series of several consecutive interdisciplinary research projects on functional biodiversity of the southern Andes of Ecuador. Starting as a “working database”, the system now includes program management modules and literat...

The quality of power signals is strongly influenced by nonlinear loads in Electrical Power systems. Representation of electrical signals using different Sparse techniques is an interesting area of research as it moderates the volume of data to be stored. The storage of signals in Sparse form will make data storage easier and more efficient. Earlier...

Gallium oxide (Ga₂O₃), a semiconductor, has recently attracted the attention of many researchers and specialists due to its large band gap and thermal stability, which has made it widely used in several fields, including modern electronics and optoelectronics. In this paper, the many forms and properties of gallium oxide materials will be highlight...

In the era of big data, data storage density, and reading speed are becoming increasingly important. Therefore, achieving high-speed data reading in the holographic data storage system is particularly crucial. The key to realizing high-speed data reading in the holographic data storage system is to ensure frame rate matching among key devices. In t...

Background The widespread adoption of knowledge‐based planning in radiation oncology clinics is hindered by the lack of data and the difficulty associated with sharing medical data. Purpose This study aims to assess the feasibility of mitigating this challenge through federated learning (FL): a centralized model trained with distributed datasets,...

Cryptography ensures data privacy by transforming data into unreadable formats that only authorized individuals can decrypt. With the increase in electronically stored and transmitted data, enhanced methods for data protection are required. DNA cryptography, leveraging the genetic structure of DNA, provides a promising approach for secure communica...

DNA is considered as a prospective candidate for the next‐generation data storage medium, due to its high coding density, long cold‐storage lifespan, and low energy consumption. Despite these advantages, challenges remain in achieving high‐fidelity, fully integrated, and cost‐efficient DNA storage system. In this study, a homemade digital microflui...

Multiplexed optical data storage with the merits of a long lifetime and high data capacity is considered to be a promising technology for storing huge amounts of data generated by human activities. However, practical applications have been limited by the current data capacity, which remains at just a few terabytes (TB) per disc. Here, we demonstrat...

Cloud computing has become a key solution in supporting data storage and collaboration, particularly for students in various academic activities. This study aims to analyze the utilization of cloud computing in academic activities, focusing on data storage, collaboration, and data privacy protection. A survey was conducted among students from vario...

A resistive switching device with precise control over the formation of conductive filaments (CF) holds immense potential for high‐density memory arrays and atomic‐scale in‐memory computing architectures. While ion migration and electrochemical switching mechanisms are well understood, controlling the evolution of CF remains challenging for practic...

Considering the current state of the digital world, the protection of data stored in the cloud has emerged as an essential concern for commercial enterprises. Classical security measures that are focused on perimeters are no longer adequate to safeguard sensitive data from cyber threats that are becoming increasingly sophisticated. The Zero Trust S...

In the industrial Internet of Things (IIoT), the interconnection between networks and hardware and between networks themselves produces a substantial volume of data. This leads to various security and privacy issues, greatly increasing the risk of data privacy breaches. Existing methods are not effective in ensuring secure storage of this data, and...

The Excel-based application discussed in this article is designed to make it easier to manage madrasah head interviews and prepare madrasah work programs. This application consists of several sheets that store important data such as personal data of the madrasah and the head of the madrasah, details of the work program, and technical instructions f...

Introduction: In an increasingly digital world, where almost every aspect of our lives is mediated by technology, the rise of cybercrimes presents a formidable challenge. These crimes, ranging from data breaches to online fraud and cyber-attacks, not only threaten individuals' privacy and security but also undermine the integrity of businesses and...

Traditional global positioning systems often underperform indoors, whereas Wi-Fi has become an effective medium for various radio sensing services. Specifically, utilizing channel state information (CSI) from Wi-Fi networks provides a non-contact method for precise indoor positioning; yet, accurately interpreting the complex CSI matrix to develop a...

This work addresses the problem of decentralized optimization on a compact submanifold within a communication network comprising \(n\) nodes. Each node is associated with a smooth, non-convex local cost function, and the collective objective is to minimize the sum of these local cost functions. We focus on an online scenario where local data arrive...

Unconventional information processing techniques leveraging advanced materials and structures have recently gained widespread attention. Bistable structures offer innovative methods for information processing due to their binary physical states, which directly correspond to electronic binary signals. However, conventional bistable structures typica...

In biology, changes to a DNA sequence can impact protein sequence but changes to protein sequence (phenotype) do not flow back into DNA (genotype). A system with bidirectional information flow (i.e. both translation and 'reverse translation') remains a theoretical possibility for an independent origin of life or an artificial biosystem, but the rec...

AlphaPulldown2 streamlines protein structural modeling by automating workflows, improving code adaptability, and optimizing data management for large-scale applications. It introduces an automated Snakemake pipeline, compressed data storage, support for additional modeling backends like UniFold and AlphaLink2, and a range of other improvements. The...

The photon-energy conversion covering the full spectral wave band is crucial for detecting and storing information. Schottky junctions in nanoscale such as TiO2:Ag enable multicolor photochromism and information storage in the visible region. However, the photoelectrons from the UV-excited semiconductor cause the loss of information. It has become...

Resumo Objetivo identificar estratégias e desafios no uso de big data e inteligência artificial (IA) em saúde ocupacional, assim como práticas e obstáculos na sua implementação. Métodos revisão de escopo utilizando termos relacionados à saúde ocupacional, big data e IA em quatro bases de dados (Medline, Embase, BVS e SciELO), considerando artigos e...

This study demonstrates the controllable switching of skyrmion helicity using spin-orbit torque, enhanced by thermal effects. Electric current pulses applied to a [Pt/Co]3/Ru/[Co/Pt]3 multilayer stripe drive skyrmions in a direction opposite to the current flow. Continuous pulsing results in an unexpected reversal of skyrmion motion. Micromagnetic...

Objective to identify strategies and challenges in the use of big data and Artificial Intelligence (AI) in Occupational Health, as well as practices and obstacles to their implementation. Methods scoping review using terms related to occupational health, big data, and AI in four databases (Medline, Embase, BVS, and SciELO) considering articles in P...

In recent years, due to the significant advancements in hardware sensors and software technologies, 3D environmental point cloud modeling has gradually been applied in the automation industry, autonomous vehicles, and construction engineering. With the high-precision measurements of 3D LiDAR, its point clouds can clearly reflect the geometric struc...

When poly(vinyl alcohol) (PVOH) is dehydrated by concentrated sulfuric acid at room temperature, a polyene-PVOH block copolymer results. The generated polyene blocks lack of regularity since both cis- and trans-polyene isomers are contained. According to the XRD diffractogram, this dehydrated product, made of different macromolecular segments, is a...

In recent years, unmanned aerial vehicles (UAVs) have been widely used in ocean target tracking and image acquisition for processing. Due to the limited energy of the UAV and the high computational complexity associated with image processing tasks, a lightweight energy-saving target tracking scheme is designed for the UAV, and the unmanned surface...

Precise and timely information about crop types plays a crucial role in various agriculture-related applications. However, crop type mapping methods often face significant challenges in cross-regional and cross-time scenarios with high discrepancies between temporal-spectral characteristics of crops from different regions and years. Unsupervised do...

In the metaverse the physical space and the virtual space co-exist, and interact simultaneously. While the physical space is virtually enhanced with information, the virtual space is continuously refreshed with real-time, real-world information. To allow users to process and manipulate information seamlessly between the real and digital spaces, nov...

Multiplexing information in light’s fundamental attributes to create supplementary orthogonal data channels has been well heralded as an effective means for optical data storage with greatly enhanced capacities. However, robust decoding methods against inevitable crosstalks associated with experimental noise and writing imperfections as the increas...

Internet of Things (IoT) devices grow in many areas, the need for quality data storage and retrieval solutions becomes more important. This research paper presents a comprehensive study on the implementation and evaluation of Internet of Things based on Network Attached Storage systems. The de- sign concept leverages the capabilities of IoT devices...

In the application of brain-computer interface (BCI), being able to accurately decode brain signals is a critical task. For the multi-class classification task of brain signal ECoG, how to improve the classification accuracy is one of the current research hotspots. ECoG acquisition uses a high-density electrode array and a high sampling frequency,...

As enterprises continue to embrace digital transformation, there is an increasing need for scalable, efficient, and agile software development practices. Containerization has emerged as a key technology in optimizing resource utilization, accelerating deployment, and enhancing software reliability. This review presents a comprehensive approach to c...

In the era of digitalization, hospitals in Indonesia face challenges in migrating electronic medical record data from the old system to the new system. At Ngudi Waluyo Wlingi Blitar Regional Hospital, an efficient and effective electronic medical record data migration process is the main issue that needs to be addressed to ensure the successful imp...

The increasing demand for image data storage exceeds the capabilities of current technology and DNA, as an emerging storage medium, is expected to resolve the challenge of storing massive image data. Recent DNA image storage methods adopted fixed code tables and error-correcting codes without leveraging image characteristics, leading to low coding...

Drought is a major agricultural disaster that has long posed significant challenges to China's agriculture and ecological environment. Its latent, widespread, and vulnerability characteristics make it crucial to obtain effective large-scale, long-term remote sensing data for spatiotemporal analysis and drought forecasting. With the advancement of r...

There are essentially two global trends that are currently heating up the AI sector. An increasing number of large language models (LLM) creates enormous resource requirements due to extensive data storage and complex training runs. Furthermore, advancing digitalization leads to an increased volume of data and the associated need for real-time anal...

Since 2021, a collaborative team of terminologists, translators, and information system developers have worked together to develop a new open-access, interactive, multifunctional, terminology management system Bioleksipēdija. The system is developed for special lexis data storage and a wide range of statistical and search options designed for langu...

Purpose: This study aimed to review the relationship between e-governance and local community development by specifically, focusing on four selected services, viz., universal education, youth welfare, reproductive health and agricultural development in Uganda. Methodology: The study took a review of obtainable secondary literature by specifically l...

DNA molecules are a promising data storage medium for the future; however, effective de novo synthesis of DNA using an enzyme that catalyzes the polymerization of natural nucleoside triphosphates in...

El monitoreo de parámetros fisiológicos y comportamentales permite estudiar cómo los animales afrontan los cambios ante las condiciones ambientales. Sin embargo, tradicionalmente el registro de estas variables en grandes mamíferos ha resultado un gran desafío. Recientemente, los dispositivos de registro y almacenamiento de datos biológicos (i.e., i...

The growing importance of traceability in supply chains requires robust, transparent, and efficient systems to ensure the integrity and authenticity of product journeys. This paper presents a comprehensive characterisation and data model for a generic blockchain-based traceability system, highlighting its implementation using smart contracts on Eth...

Tilde is a new in-house developed solution that the GNS Science’s GeoNet program has recently developed to provide storage and access to low sample rate datasets used to monitor tsunami, landslides, and volcanoes in Aotearoa New Zealand. It includes datasets covering sample rates of 15 s or longer. Time series data are stored and disseminated in JS...

The development and use of administrative databases accelerate administrative and sometimes even criminal proceedings within public authorities. However, the increased data storage and free circulation of data pose a challenge to the protection of personal data and, thus, to the privacy of individuals. The focus of this article is the constitutiona...

A agricultura ao longo da história passa por um constante processo de evolução, seja com técnicas de manejo, desenvolvimento de máquinas e implementos para tarefas agrícolas buscando uma agricultura produtiva e sustentável. No cenário atual o acionamento das máquinas e implementos agrícolas de realizados de forma mecânica ou por acionamento hidrául...

Magnetoelectric (ME) composites of suitable ferroelectric and magnetic materials can display elevated magnetic and ferroelectric operational temperatures, along with substantial ME coupling, compared to conventional single‐phase multiferroics. Herein, we describe the synthesis of (1‐Φ) PZTFT‐Φ CZFMO, Φ = 0.1, 0.2, 0.3 (PZTFT: [0.6(PbZr0.53Ti0.47O3)...

The continual evolution of the digital health domain has led to an increased dependence on intelligent devices, such as smart bands and smartwatches, for monitoring personal well-being. These devices produce significant amounts of sensitive and personal data daily, underscoring the critical importance of safeguarding the privacy and security of thi...

Low-weight codes have been proposed for efficiently synthesizing deoxyribonucleic acid (DNA) for massive data storage, where a multiple of DNA strands are synthesized in parallel. We report on the redundancy and information rate of maxentropic low-weight codes for asymptotically large codeword length. We compare the performance of low-complexity ni...

The efficient exploration of expansive material spaces remains a significant challenge in materials science. To address this issue, autonomous material search methods that combine machine learning with ab initio calculations have emerged as a promising solution. These approaches offer a systematic and rapid means of discovering new materials, parti...

In the era of digital information, realizing efficient and durable data storage solutions is paramount. Innovations in storage capacity, data throughput, device lifespan and energy consumption are pressing necessities for the continuous progression of practical digital data storage technologies. Here we present a diamond storage medium that exploit...

This paper presents detailed experimental findings on magnetoresistance, characterized by the change in electrical resistance of a material when subjected to an external magnetic field. The experiment focused on measuring the magnetoresistance of a metallic sample across varying magnetic field strengths and temperatures. The results reveal signific...

Metasurface holography, capable of fully engineering the wavefronts of light in an ultra-compact manner, has emerged as a promising route for vivid imaging, data storage, and information encryption. However, the primary manufacturing method for visible metasurface holography remains limited to the expensive and low-productivity electron-beam lithog...

This paper proposed a big data pipeline to analyze user behavior on Last.fm which aims to make data-driven recommendations for improving user engagement and attracting new users. The comprehensive analysis of user behavior in the music streaming industry using the Hadoop ecosystem and data analytics techniques. Specifically, the study focuses on La...

In the current landscape of cloud-based data storage and analysis, concerns about data privacy and integrity have become more and more prevalent. Homomorphic encryption is a promising technology for preserving privacy by enabling computations on encrypted data while maintaining the confidentiality of sensitive information. However, relying solely o...

A computação embarcada e de borda aproxima o processamento e armazenamento de dados dos locais onde são gerados, melhorando desempenho, eficiência e segurança. Isso possibilitou o aprendizado de máquina na borda, permitindo que dispositivos realizem predições e tomem decisões localmente, sem intervenção humana. Porém, devido às limitações desses di...

The rapid proliferation of digital data and the corresponding expansion of the global storage market present a significant opportunity for the adoption of circular economy practices. With a vast amount of data being generated, demand for data storage far exceeds current manufacturing capacities, and circular markets offering second-use storage devi...

Introduction Globally, many people experience mental health difficulties, and the current workforce capacity is insufficient to meet this demand, with growth not keeping pace with need. Digital devices that passively collect data and utilise machine learning to generate insights could enhance current mental health practices and help service users m...

2D materials possess exceptional mechanical properties making them promising candidates for protecting nanostructures. However, the magnetic field screening properties of 2D materials are largely unexplored. Here it is used Magnetic Force Microscopy (MFM) to unveil the effects on the magnetic field of magnetic nanostructures when 2D materials are p...

In recent years, virtual reality arenas have become increasingly popular for quantifying