Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Suspicious CT Findings Suggesting Mediastinitis or Sternal Osteomyelitis in Clinically Uninfected Patients After Cardiac Surgery: A 10-Year Single-Center Retrospective Study
Background/Objectives: Post-sternotomy mediastinitis and sternal osteomyelitis are serious complications of cardiac surgery associated with substantial morbidity and mortality. Computed tomography (CT) is widely used to evaluate suspected infectio...
Hydrodynamic characteristics of a partitioned recirculating aquaculture pond
Research Hypotheses We hypothesize that modular functional zoning with physical baffle guidance can create a spatially heterogeneous flow field in partitioned recirculating aquaculture ponds (PRAP). This design will achieve efficient water circula...
Reducing conveyor blockages at an automated food logistics warehouse via bounded metaheuristic exploration
Abstract This paper presents a practical case study, conducted with Corporación Alimentaria Guissona S.A. (bonÀrea), on optimizing storage locations in a large-scale, automated warehouse for perishable foods. The objective is to minimize costly bl...
Impact of Supply Chain Digitalization on Corporate Governance Quality: A Policy Experiment Based on Supply Chain Innovation and Application Pilot
Under the accelerated development of the digital economy, examining the impact of supply chain digitalization (SCD) on corporate governance quality (CGQ) is of critical importance for identifying pathways to optimize governance structures amid tec...
Exploring the Abilities and Limitations of the SARIMA Model For Retail Demand Forecasting on Dillard’s Data From 2021-2025
Retail demand forecasting is important for businesses such as Dillard’s, a leading American department store chain, because it allows for data-driven decisions that enhances profitability, efficiency, and customer satisfaction. These forecasts ser...
Die Modellierung eines Entscheidungsunterstützungstools im Rahmen der Leistungsanalyse
Die Literaturrecherche unterstreicht die wachsende Bedeutung von Business-Intelligence-Tools in der Leistungsanalyse und ihre Rolle bei der Umwandlung komplexer Daten in aussagekräftige Erkenntnisse. Dieser Artikel untersucht den Prozess der Daten...
Postharvest Preservation and Marketing Practices of Potato (Solanum tuberosum) in the Bagga Valley in the Tahoua Region, Niger
This study examines postharvest preservation and marketing practices of potato (Solanum tuberosum) producers in the Bagga Valley, Tahoua region of Niger. Based on survey data collected from approximately 200 farmers across selected municipalities,...
Occupational toxic inhalation injury to cleaning chemicals during the COVID-19 pandemic, including a case series for disinfectants aerosolized through spray and fog application
The occupational burden of injury caused by exposure to cleaning chemicals during the pandemic is not well described. The objective of this study was to determine whether the COVID-19 pandemic was associated with a change in the rate of toxic inha...
IoT and Multi-Source Data-Driven Intelligent Warehouse Optimization Using KMA-RDTC
Warehouse operations have developed over the decades through the enhanced Internet of Things (IoT) technology. The traditional operation is perceived as inconsistent and operationally inefficient, which are the main deficiencies in traditional inv...
Warehouse Distribution Management Efficiency and Operational Performance: Basis for Cost Reduction Plan
This study examined the relationship between Warehouse Distribution Management Efficiency and Operational Performance as a basis for developing a Cost Reduction Plan for a distribution company in Canlubang, Laguna. Anchored on Lean Warehousing and...
Canine detection for biodiversity protection: a multispecies approach to promote conservation and prevent wildlife trafficking
The Colombian National Police (CNP) has canine teams specialized for detecting mammals, reptiles, and birds illegally trafficked by national and transnational criminal organizations. The objectives are to: (1) establish standards for the scent dat...
Review: next-generation metal hydride systems for sustainable hydrogen storage—kinetics, nanostructuring, and intelligent materials discovery
Abstract Hydrogen is one of the major pillars of the low-carbon economy, but its wide application is limited by difficulties in storage. Metal hydrides (MHs) represent excellent candidates for storage since they are characterized by high volumetri...
Fueling Reactions: Three Empirical Essays on Behavioral Responses, Economic Shocks, and Energy Markets
This dissertation examines how shocks in energy and commodity markets propagate through local economies and reshape human behavior, spanning three empirical essays that connect energy markets to electoral behavior, commodity price dynamics, and cr...
Pen: Solution for Food Freshness
This research aims to design and develop a sustainable ice block business model as a solution to the problem of imbalance between the demand and supply of ice blocks in coastal areas, especially in supporting the sustainability of the capture fish...
The Substrate Participant Problem: Why Legacy Third-Party Security Programs Cannot Govern the AI/API/MCP Era
Legacy third-party security programs were designed for a specific threat model: a vendor receives a defined data export, processes it in a bounded environment, and the risk is scoped to what the organization chose to share. The assessment asks whe...
Competitive intelligence and business strategic planning: a review
This article is a conceptual review of the relationship between Competitive Intelligence (CI) and Business Strategic Planning (BSP). The classical methods of Strategic Planning, such as SWOT analysis and Porter’s Five Forces, and modern technologi...
A Survey of Data Storage, Retrieval, and Optimization Methods in Modern Databases
Modern database systems require performance optimization techniques and data management approaches to handle the increasing challenges which modern data-driven applications face at larger operational scales. This paper presents a complete review o...
Enhanced Child Health & Social Protection through a Machine Learning Decision Support System
This research presents the development and implementation of a Machine Learning Decision Support System (ML-DSS) aimed at enhancing child health protection in Zambia. The system utilizes a predictive framework based on a star-schema database archi...
An Integrated Machine Learning Framework for Tender Recommendation and Win Prediction in Kazakhstan's Public Procurement
Public procurement portals generate millions of tender announcements annually, yet suppliers typically rely on manual browsing and experience-based judgment when deciding which lots to pursue. This paper presents a machine learning-based decision ...
Implementation of Medical Device Logistics Management: A Qualitative Study
The total expenditure on medical devices in 2016 was IDR 16.9 trillion from the total health budget in Indonesia. The main problems were the accessibility and quality of medical devices. Good logistics management of medical devices at the Public H...
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