Business Analytics Capability and Organizational Cyber Resilience: The Roles of Data-Driven Risk Detection and Cybersecurity Governance

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This study examines the relationships among business analytics capability, data driven risk detection, and organizational cyber resilience while evaluating the moderating influence of cybersecurity governance maturity. Drawing on Dynamic Capabilities Theory and Organizational Information Processing Theory, it conceptualizes organizational cyber resilience as the outcome of organizational capabilities that transform integrated analytical resources and cyber risk information into timely, coordinated, and adaptive responses. Cybersecurity governance maturity serves as a boundary condition that determines whether analytical insights can be translated into stronger resilience outcomes. A quantitative cross-sectional design gathered responses through a five point Likert scale questionnaire from 385 Vietnamese professionals knowledgeable about business analytics, cybersecurity, information technology, risk management, digital operations, organizational governance, or business continuity. IBM SPSS version 26 supported reliability assessment, exploratory factor analysis, and multiple linear regression, while Hayes’ Process Macro Model 1 examined the moderating effect. The findings show that business analytics capability (β = 0.573) and data driven risk detection (β = 0.638) significantly improve organizational cyber resilience. Data driven risk detection produces the stronger direct effect, emphasizing the importance of continuous monitoring, anomaly identification, and actionable cyber risk warnings. Cybersecurity governance maturity further strengthens the positive relationship between business analytics capability and organizational cyber resilience through a significant interaction coefficient of 0.407. The results demonstrate that analytical technologies alone cannot guarantee cyber resilience. Organizations must combine integrated analytical resources and timely risk detection with clear accountability, formal escalation procedures, structured oversight, continuous governance improvement, and sufficient authority to coordinate responses.

Enhancing E-Commerce Customer Satisfaction: A Multi-Method Approach Using Sentiment Analysis, IPA, and PGCV

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The advancement of information technology has enabled rapid expansion in e-commerce, establishing one of the platforms as a leading company in Indonesia. Subsequently, the authors name the e-commerce platform as XZ to preserve the anonymity of the research subject. This research intends to evaluate consumer sentiment regarding XZ’s e-service quality utilizing opinion mining based in the Support Vector Machine (SVM) method, while also determining enhancement priorities through Importance Performance Analysis (IPA) and Potential Gain in Customer Value (PGCV). The dataset comprises 50,000 data from the Google Play Store, categorized into positive and negative comments. The findings reveal that factors including the promptness in addressing customer complaints, the effectiveness of refund procedures, and XZ’s reliability in delivering promotional commitments, including shipping discount vouchers, are primary customer concerns. The IPA technique indicated that key service components should be emphasized to improve customer satisfaction, particularly attributes such as P4, P13, and P14. The PGCV methodology strengthened these results by determining the enhancement opportunities that would most significantly elevate service value, particularly attribute P4 associated with the promptness of addressing customer complaints. Also, P13 regarding the effectiveness of refund procedures for incorrectly shipped or defective products, and lastly P14 pertaining to XZ’s reliability in delivering on promotional commitments such as shipping discount vouchers. The results of this study have the potential to provide a benchmark for the businesses in formulating more efficient service enhancement plans and assist in advancing the field of quality management within the e-commerce industry.

A Comparative Analysis of Advanced Nuclear Fuel and structural Design in Advanced Fission Reactor

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The rapid transition toward low-carbon energy systems and increasing global energy demand have renewed interest in advanced nuclear fission technologies, particularly Generation IV reactors and Small Modular Reactors. This study aims to comparatively evaluate advanced nuclear fuels and structural materials based on their thermal, neutronic, mechanical, chemical, irradiation, and safety performance. An analytical review of scientific and technical literature from academic databases and authoritative nuclear organizations was conducted. The literature was qualitatively synthesized according to fuel type, structural material, reactor concept, coolant, and neutron spectrum. The findings indicate that uranium nitride, uranium silicide, and tri-structural isotropic fuels provide important advantages over conventional uranium dioxide fuel, including higher thermal conductivity, greater fuel density, improved high-temperature performance, and enhanced fission-product retention. Among structural materials, iron-chromium-aluminum alloys, silicon carbide composites, and high-entropy alloys demonstrate promising oxidation resistance, thermal stability, mechanical strength, and irradiation tolerance. However, their performance is strongly dependent on reactor type, neutron spectrum, coolant chemistry, operating temperature, and irradiation conditions. The review further shows that integrating advanced fuels and structural materials with passive safety systems and modular reactor architectures can improve safety, thermal efficiency, sustainability, and economic potential. Major challenges remain in irradiation qualification, corrosion, manufacturing, regulatory approval, economic feasibility, and spent-fuel management. Overall, coordinated development of advanced fuels and structural materials represents a promising pathway toward safer, more efficient, sustainable, and economically viable nuclear energy systems.

From Magnesium Feedstocks to Reactive MgO: A Critical Review of Production Routes, Reactivity Control, Industrial Scalability, and Environmental Trade-Offs

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Reactive magnesium oxide (r-MgO) is often treated as a single material class, yet its performance is governed by a chain of coupled decisions extending from magnesium source and precursor chemistry to heat and mass transfer, calcination severity, atmosphere, particle size, purification, and post-calcination aging. This structured critical narrative review reframes reactive MgO production as a process–structure–reactivity engineering problem rather than a catalog of synthesis methods. A fixed core evidence corpus of 103 publications from 2020 through August 2026 was coded by production route, evidence scale, reactivity endpoint, and environmental/economic dimension; three pre-2020 foundational sources were used only for terminology and mechanistic context and were excluded from corpus counts. The review compares mineral-derived, brucite-derived, dolomitic, seawater/brine, waste-derived, sulfate-derived, and specialty precursors; conventional, flash, fluidized-bed, steam-assisted, solar/electrified, precipitation, carbonation, electrochemical, and hybrid routes; and the analytical methods used to describe reactivity. No single metric—calcination temperature, BET surface area, hydration rate, or CO₂ uptake—defines reactive MgO across applications. Instead, reactivity emerges from the preservation or destruction of accessible mesoporosity, surface defects, dissolution sites, crystallite-scale disorder, and pore connectivity, provided that sufficient precursor conversion and chemical purity are achieved. Fast thermal routes can reduce sintering exposure, whereas brine and residue routes can decouple purity from the original mineralogy but introduce reagent demand, washing, mother-liquor management, and scale-up penalties. Environmental advantage is likewise route-specific: avoiding magnesite decarbonation can reduce process CO₂, but upstream alkalis, electricity, solids handling, and unrealized carbonation can reverse apparent benefits. The industrially optimum product is therefore not the MgO with the highest nominal reactivity, but the product whose application-specific reactivity window is achieved at acceptable purity, energy demand, carbon footprint, cost, throughput, and consistency. The review concludes with a research agenda centered on standardized reporting, direct route-to-route experiments, impurity-tolerance maps, continuous pilot validation, and integrated mass–energy–carbon–cost assessment.

European Classification and Labelling of Hazardous Products

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By adopting the CLP Regulation, the European Union has aligned its classification and labelling system for hazardous substances with a globally accepted standard based on the United Nations’ Globally Harmonised System of Classification and Labelling of Chemicals (GHS). This article summarizes the key aspects of the current status of the CLP Regulation. It introduces the available labelling elements, such as hazard pictograms, signal words, hazard statements, and precautionary statements. This is followed by an overview of physical hazard classes, health hazards, environmental hazards, and an additional hazard class. The communication elements for each hazard class are presented in a tabular overview. Subsequently, general and specific criteria for the classification of mixtures are listed. The discussion section examines current legislative trends.

IoT-Based 100 WP Solar Power Plant for Ultraviolet Lighting in Dragon Fruit Cultivation: Design and Performance Comparison of Tracking and Non-Tracking Systems

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The use of solar energy for agricultural applications can reduce dependence on conventional electricity while enabling operation in locations where grid access is limited. This study aimed to design and evaluate a 100 Wp photovoltaic system integrated with an Internet of Things (IoT) monitoring and control system for lighting in a dragon fruit plantation. The system employed a 100 Wp monocrystalline solar panel, a solar charge controller, a battery storage unit, an inverter, an ESP32 microcontroller, voltage and current sensing, and Telegram as the remote monitoring interface. Electrical parameters were observed hourly from 09:00 to 17:00 WIB under two panel configurations: solar tracking and fixed non-tracking. Panel voltage, panel current, battery voltage, and calculated panel power were analyzed. For the tracking configuration, the average panel voltage and current were 19.64 V and 4.12 A, respectively, corresponding to an average calculated power of 81.47 W. The maximum calculated power was 100.94 W at 12:00. Under the non-tracking configuration, the average voltage and current were 18.69 V and 3.61 A, with an average calculated power of 68.08 W and a maximum of 91.65 W at 12:00. Thus, the tracking configuration produced approximately 19.7% higher average calculated panel power than the non-tracking configuration. The ESP32–Telegram system successfully transmitted operating information in real time when a stable Internet connection was available. The results demonstrate that combining solar tracking with IoT monitoring can improve the observed electrical performance and facilitate remote management of a small off-grid photovoltaic lighting system.

From Upgraded Titanium Slag to Modern Metallurgical Slag Engineering: Technologies, Industrial Applications, and Readiness- A Critical Review

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Metallurgical slags are increasingly treated as dynamic secondary resources rather than inert residues, yet the literature remains fragmented across metal recovery, mineral-phase engineering, material valorization, carbon management, and industrial implementation. This structured critical narrative review evaluates a recent core corpus of 111 publications from 2020–2026 and supplements it with selected pre-2020 foundational sources required to establish the historical Upgraded Slag (UGS) lineage in titanium metallurgy. The recent corpus was descriptively coded by primary slag family, evidence function, and implementation maturity; steelmaking/ferrous systems account for 60 studies, copper/fayalitic slags for 16, cross-cutting or mixed systems for 15, ferroalloy/Cr–Mn slags for 7, Ti-bearing slags for 4, and Ni/ferronickel slags for 3. Eighty publications primarily provide mechanistic or product-performance evidence, 13 provide system-assessment evidence, and 12 are reviews or contextual sources. The synthesis distinguishes historical titanium-slag upgrading from the broader family of modern thermal, chemical, redox, physical, hydrometallurgical, carbonation, and electrochemical interventions. It shows that credible upgrading requires more than high recovery: a controllable phase transformation must be coupled with effective separation, qualified metal or material products, a safe and useful residual matrix, and realistic integration with plant infrastructure. Representative industrial evidence is strongest in copper-slag flotation and settling, selected hot-stage steel-slag operations, and heat-recovery applications, whereas many high-value functional-material routes remain laboratory-led. A five-gate framework—value inventory, engineerability, separation and safety, integration, and system performance—is applied to representative routes to connect mechanisms with product specifications, TEA/LCA, and industrial readiness. The resulting perspective positions slag upgrading as site-specific product and process design within circular metallurgy rather than as generic residue reuse.

Use of Sustainable Energies in European Hotels: The DETOCS Project

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Hotel buildings consume large amounts of energy compared to other commercial buildings. However, in the coming years they should try to minimize the use of conventional fuels increasing the use of sustainable energies in order to zero their net-carbon emissions. During the implementation of DETOCS project a survey in several EU regions has been conducted, investigating the use of several sustainable energy technologies in nineteen tourism entities. The results indicated that many sustainable, low- and zero-carbon emission energy technologies have been used in hotels and other tourism entities in European regions. They included, energy saving technologies, renewable energy technologies and low-carbon energy technologies which are mature, reliable and cost-efficient. Among renewable energies solar energy, biomass and geothermal energy are the most popular in tourism entities. The use of these sustainable energy technologies can be transferred in hotels located not only in the regions participating in DETOCS project but also in other EU regions. During the survey tourism entities that were using carbon offsetting schemes to reduce their carbon emissions were not identified. The findings indicate that several, technically feasible and economically attractive, sustainable energy technologies can be used in European tourism industry assisting its decarbonization in accordance with the target of net-zero carbon emissions by 2050. The results could be useful to all stakeholders of the tourism industry in all European regions.

Investigation of Parity Violation in Neutron Resonances: A Comparative Kinematic and Resonance Approach

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Parity violation in neutron resonances is regarded as one of the most sensitive manifestations of weak-interaction effects in complex nuclear systems. Although the weak nucleon–nucleon interaction is significantly weaker than the strong interaction, parity-violating observables in neutron-induced compound-nucleus resonances can be remarkably enhanced due to the specific characteristics of the nuclear energy-level structure. This phenomenon has been interpreted within two main theoretical frameworks: the kinematic approach, which describes parity-violating observables through the interference of neutron scattering amplitudes associated with partial waves of opposite parity, and the resonance approach, which explains the microscopic origin of this enhancement through compound-nucleus formation, weak-interaction-induced mixing of states with opposite parity, and resonant effects.

The aim of this study was to investigate the complementary roles of the kinematic and resonance approaches in explaining parity violation in neutron resonances and to provide a comprehensive interpretation consistent with theoretical and experimental evidence. A systematic review methodology based on the PRISMA 2020 guidelines was employed. Relevant theoretical and experimental studies were identified through comprehensive searches of Google Scholar, INSPIRE-HEP, APS Journals, SpringerLink, ScienceDirect, and arXiv. Eligible studies were selected according to predefined inclusion and exclusion criteria, and the extracted evidence was examined using qualitative comparative analysis. The findings indicate that parity violation in neutron resonances cannot be explained solely in terms of the weak interaction or nuclear structure alone. Rather, the observed enhancement results from the simultaneous contribution of four fundamental factors: the weak interaction, compound-nucleus formation, mixing of opposite-parity s-wave and p-wave states, and resonance enhancement.

Comparative analysis demonstrates that the kinematic and resonance approaches are not competing theories but rather complementary descriptions of the same physical phenomenon. The kinematic approach provides an effective description of measurable observables such as scattering amplitudes, cross sections, polarization effects, and spin rotation, whereas the resonance approach explains the microscopic origin of these quantities through the S-matrix formulation, weak-interaction mixing mechanisms, and the Breit–Wigner resonance theory. Furthermore, the analysis demonstrates that the extraordinary sensitivity of neutron resonances is primarily associated with the small energy separation between nuclear states rather than with an increase in the intrinsic strength of the weak interaction. According to the mixing relation, a reduction in the energy difference between states of opposite parity leads to a significant increase in the mixing coefficient and, consequently, to an enhancement of parity-violating effects. Therefore, this study presents an integrated theoretical framework in which both the kinematic and resonance approaches are employed simultaneously to provide a more complete and consistent explanation of parity violation in neutron resonances.

A Comparative Machine Learning Approach for Usability Evaluation of Localized Software in Afghanistan

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Usability is one of the most important software quality attributes in determining user satisfaction, productivity and system acceptance. Afghanistan is a multilingual country, and usability problems with localized software applications may occur due to linguistic diversity, cultural differences, and scarce resources for evaluating the usability of software applications. These traditional usability assessment techniques, such as heuristic evaluation and laboratory testing, are difficult to implement in a capacity-constrained environment, as they require significant time, expertise and funds. The study suggests an automatic usability evaluation framework by machine learning techniques for localized software systems in Afghanistan. Data were gathered from ISO 9241-11 usability framework-based structured questionnaires from users of localized software applications. After collecting the responses, they were subjected to a pre-processing procedure involving cleaning, encoding and normalizing. Three supervised machine learning algorithms Decision Tree (DT), K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) were trained and tested with 80:20 ratio of training and test data. Model performance was evaluated using the accuracy, precision, recall, F1-score and confusion matrix analysis. Experimental results indicate that the highest accuracy of 91.4% is obtained by DT followed by SVM with 90.0% accuracy and KNN with 88.7%. The results show that the Decision Tree is a good model for balancing the prediction accuracy and interpretation of local software environments. The proposed framework has been designed to be both scalable and cost-effective, and can be used to complement existing usability evaluation methods, and can also be used to aid in software quality improvement efforts in multilingual and developing country settings.