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The Original Meanings of the Social Sciences as a Foundation for Illustrating a Renewed Reflection on their Current Situation and Future Challenges
Full text linkThe mere act of attempting to say something about the social sciences�their origin, history, development, and destiny�is, in itself, an ambitious and excessive endeavor. Who could even produce a state of the art of any of the disciplines or subdisciplines that today fall under that broad label? To say something meaningful in this regard, we would have to rely on the enormous collective efforts that some groups of scholars and certain institutions have undertaken in recent years (Wallerstein, I., 2006; Heilbron, J.; L. Magnusson & B. Wittrock, 1998; Porter, T. and D. Ross, 2003; UNESCO, 2010; UNESCO, 2013)
Resilience and Inclusion: Fostering Non-Violence in Education in Cameroon
Full text linkThe study investigates resilience and inclusive practices by non-violence education in Cameroon as the focal point. The essence of the study was to investigate the relationship between resilience, inclusion and non-violence within the educational context in Cameroon. It has been reflecting how the victims can navigate the challenge with resilience by non-violence. It emanated from a project on the effects of violence on students learning in Cameroon with the research question on their survival ability of such abuses. The study employed a cross-sectional design with a quantitative approach of data collection and processing. The sample participants comprised (n = 924) students randomly selected from eight secondary schools in one region of Cameroon with four schools chosen from the urban center and four others from the rural centre. These schools were used as the primary source of data collection for the study. The collection of data was undertaken with questionnaires that have been tested and validated through multinational and regional organizations, pilot studies, and different institutions. The structured questionnaires were used to elicit data from the participants. The collected data was analysed using JAMOVI. The study\u27s findings show high levels of violence with both genders suffering equally from the scourge. Furthermore, the male gender in the findings from some of the variables are more subservient and more affected by sexual violence, besides other violence strands such as structural, psychological, environmental and physical violence. These findings therefore introduce diverse probabilities and hypotheses. The subservient of males to sexual violence reduces schools to arenas of illicit sexual activities thereby compromising the learning, social justice and global values for the students. Looking forward, agencies should provide support to educational institutions in their efforts to assist students who are confronted with violence through the implementation of resilience, capacity building and inclusive practices. These practices will help in addressing discrimination among school communities, preventing violence, and cultivating an effective learning environment for all students, irrespective of their background. The advancement of inclusion and resilience signifies a more efficacious approach to addressing school violence and establishing a secure environment for all
Analysis of Dynamic Characteristics of Straight Cylindricalgears based on Gyroscopic Effect
Full text linkPurpose: The main objective of the study is to investigate the shaft plane inclination caused by bendingmoments and torsional vibrations during rotation without considering tooth friction.
Methods: The law of vortex effects on gear vibrations was also considered. A four-degree-of-freedomstraight-tooth cylindrical gear dynamics model was developed based on the gyroscopic effect. ANSYSWorkbench was used to perform the model\u27s finite element analysis, and Simulink was used for the simulationand analysis of the model.�
Results: The gyroscopic effect is being investigated to determine the variation law of the intrinsic characteristicsofstraight cylindrical gears. The dynamic characteristics of straight cylindrical gears with and without gyroscopiceffects were compared, and the impact of gyroscopic effects on straight cylindrical gear systems was discussed.
Conclusions: Forward and backward vortex phenomena can be observed under the influence of the gyroscopiceffect, as the intrinsic frequency increases with rotational speed. The results show that the gyroscopic effect significantly affects the translational and torsional vibrations of the master/follower wheel. It has a moresignificant impact on the torsional vibration displacement of the master wheel and the translational vibrationdisplacement of the follower wheel.
A Hybrid Multi-Attribute Framework for Optimizing Turnaround Inspection Scope in Oil and Gas Facilities
Full text linkPurpose�� The purpose of this paper is to support operating facilities in identifying the appropriate and adequate initial turnaround (TA) inspection scope strategies and prioritizing operation, maintenance & engineering efforts to help deliver production operational targets by limiting the TA on to the equipment that internal inspection is necessary and avoid unnecessary replacement of internal parts (e.g., catalysts, desiccant, etc.) due to exposing the equipment to internal inspection. Furthermore, identify the inspections that can be performed non-intrusively and online, which can shorten the TA duration, minimize business interruption, and maximize plant availability.
Design/methodology/approach�� The case study was conducted using one of the most widely deployed risk models in the oil and gas industry, where a full assessment was performed on an offshore gas-producing platform
Effectiveness of Silica Fume as a Partial Cement Replacement in Recycled Aggregate Concrete
Full text linkRecycled concrete aggregate (RAC) can be used in structural concrete to lessen the environmental impact of waste concrete and the use of natural resources. The current study summarized the mechanical performances of concrete and assessed the synergistic impacts of recycled aggregate, likely at 100% content, with silica fume (SF) partially substituting cement. The study\u27s primary variables included the dosage of silica fume used as a partial replacement of ordinary Portland cement (OPC) at five different percentages: 0%, 4%, 8%, 12%, and 16% by weight. Five distinct mixtures, designated RACSF-0, RACSF-4, RACSF-8, RACSF-12, and RACSF-16, were made using differing concentrations of silica fume for M30 concrete. The workability of concrete mixes was examined using the slump test.� After increasing the proportion of SF, a declining trend was observed in the test results.� The mechanical characteristics of RACSF were examined at 7 and 28 days using compressive and splitting tensile tests.� The results demonstrated that adding SF enhanced RACSF\u27s performance at both early and later curing ages, with the highest results occurring at 12% SF addition.� As a result, it is advised to partially substitute 12% SF for cement in RAC
Conversational Intelligence for All: Speech Recognition Systems for Inclusive Digital Access
Full text linkDigital service accessibility confronts enduring challenges in multilingual societies, where technological and linguistic barriers limit participation for numerous population segments. Voice-based interfaces operating through telephone systems present valuable pathways to narrow these divides, facilitating interaction without literacy prerequisites or technical proficiency. Telephone-based speech recognition faces distinctive technical obstacles, including limited bandwidth, ambient noise interference, and natural conversational patterns substantially different from laboratory speech inputs. Modern algorithmic techniques, especially those employing probabilistic modeling frameworks, show remarkable capacity to function within these demanding audio environments while handling regional accents and language variations. Practical implementations across transit networks, administrative service systems, and learning platforms demonstrate how these technologies establish vital access points for traditionally underserved communities. Such systems support transportation schedule inquiries, social program registration, and educational material engagement via conventional telephone infrastructure instead of demanding broadband connections or advanced mobile devices. Widespread implementation requires thoughtful attention to information security protocols, recognition fairness across accent variations, and strategic language selection to prevent perpetuating societal imbalances. This contribution outlines system architectures, deployment methodologies, and performance assessment frameworks for developing genuinely inclusive conversational technologies that broaden digital participation across communication and technological boundaries
An Approach to Setting up Dataset for Winner-Domain Algorithm Selecting Teamers Participating in Vietnam National Competitions
Full text linkThe dataset of competitors� performance in some recent years is the input of winner-domain algorithm selecting good student as member of a subject team participating in Vietnam national prize. The data of learning performance features may be retrieved from the competitors� learning outcomes. Meanwhile, the collection of non-learning performance feature data of competitors meets challenges relating to the individual right and interviewees� cooperation for answering questionnaire. This research analyzed competitors� skills and lifestyle into very simple questions with very easy answer mode, without the deep relation to their individual lifestyle. The reply-matrix and reply-cube are formed to map simple answers of questionnaire reply into quantitative values. This approach may be flexibly applied to easily form the datasets of competitors� performance for various subjects in different years and at different levels of competitions
Digitizing Compliance: A Case Study in AMS-EDI Integration for Secure Global Shipping
Full text linkThe implementation of the Automated Manifest System (AMS) rule by the U.S. Customs and Border Protection agency following the September 11 attacks marked a pivotal transformation in global maritime security protocols. This transformative case documents the creation of an Electronic Data Interchange (EDI) compliance system that bridged regulatory requirements with operational efficiency. The initiative successfully deployed a middleware abstraction layer that processed thousands of daily cargo manifest submissions while validating critical data elements required by federal regulations. Developed by a geographically distributed team operating across multiple time zones, the system achieved exceptional first attempt acceptance rates while significantly reducing processing times and costs. The impementation pioneered human-centric design principles in regulatory technology, dramatically decreasing cognitive load and training requirements while increasing user satisfaction and adoption rates. Beyond meeting immediate compliance needs, the solution generated substantial recurring revenue, expanded market share, and catalyzed broader digital transformation initiatives across the maritime shipping industry. The case exemplifies how regulatory challenges, when approached through innovative architectural design and cross-border collaboration, can yield competitive advantages while establishing new standards for balancing security imperatives with commercial efficiency
Self-Serving Data Marts Orchestrated by Auto ML-Governed Pipelines
Full text linkSelf-serving data marts orchestrated through Auto ML-governed pipelines mark a significant advancement in enterprise analytics democratization. This architectural approach creates domain-specific information repositories with automated data preparation, feature engineering, and model development functions accessible to business users without deep technical knowledge. The governance framework applies automated quality controls, lineage tracking, and access management, ensuring data integrity throughout analytical processes. Integration with existing data warehouse systems maintains centralized governance while enabling distributed analytical capabilities, addressing specific business needs. Implementation factors include metadata standardization, processing resource allocation, and organizational change management supporting effective usage. Technical elements comprise automated data profiling, dynamic transformation creation, and continuous quality monitoring throughout pipeline operation. The orchestration layer manages complex workflows while implementing appropriate error handling and recovery mechanisms. Enterprises implementing these frameworks report significant enhancements in analytical responsiveness, resource utilization effectiveness, and business coordination compared to conventional centralized models. This balanced approach resolves conflicting requirements between governance standardization and analytical adaptability, establishing durable foundations for growing self-service functions while preserving appropriate supervision across increasingly intricate data landscapes
Federated Data Governance for Cross?Institution Anti?Money Laundering (AML) using Data Warehousing and AI
Full text linkFederated data governance enables banking institutions to leverage collaborative capabilities, effectively combating money laundering activities while upholding compliance requirements and safeguarding information autonomy. The structural design merges secure information warehousing with cognitive systems, creating identification frameworks that maintain confidentiality across institutional boundaries. Utilizing federated learning principles, institutions uncover intricate laundering schemes typically concealed within segregated systems. The governance structure employs cryptographic safeguards, detailed permission hierarchies, and permanent verification records to protect information throughout collaborative engagements. Successful deployment addresses system interoperability, allocates processing capacity, and harmonizes data structures among participating organizations. Regulatory aspects include navigating jurisdictional requirements, transnational information exchange protocols, and coherence with global financial security standards. The article yields improvements in identification precision, surveillance capabilities, and notification accuracy when compared with conventional isolated approaches. Financial organizations implementing federated governance enhance compliance positions while sustaining operational autonomy. Through a balance between security imperatives and functional requirements, this architecture provides a comprehensive solution to coordinated anti-money laundering challenges within interconnected financial markets, laying the groundwork for productive collaboration against increasingly sophisticated financial offenses