ethicalabs/Research-Intent-Collab huggingface dataset:
Page Header ADDITIONAL MENU FOCUS AND SCOPE PEER REVIEW PROCESS PRIVACY STATEMENT COPYRIGHT NOTICE PUBLICATION FREQUENCY PUBLICATION ETHICS AUTHOR GUIDELINES ONLINE SUBMISSION EDITORIAL TEAM REVIEWER AUTHOR FEES CONTACT    ARTICLE TEMPLATE         SUGGESTED TOOLS                  OUR VISIT STATISTICS    Flag Counter     USER Username  Password   Remember me HOME ABOUT LOGIN REGISTER SEARCH CURRENT ARCHIVES ETIKA PUBLIKASI Home &gt; Vol 4, No 1 (2024) &gt; Usanto SISTEM INFORMASI KOPERASI SIMPAN PINJAM PADA KOPERASI ASCA MARINA JAYA

ASCA Marina Jaya Cooperative is a business entity that provides savings and loans for the members. Data processing uses manual bookkeeping so that member activities for savings or loans require a long processing time. The research aims to design a web-based savings and loan cooperative data processing information system at Asca Marina Jaya. The methods used in data collection are observation, interviews, and literature studies. The result is a prototype of a web-based savings and loan information system that have been tested so there are no problems and runs well.
MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model

We present MOFA-Video, an advanced controllable image animation method that generates video from the given image using various additional controllable signals (such as human landmarks reference, manual trajectories, and another even provided video) or their combinations. This is different from previous methods which only can work on a specific motion domain or show weak control abilities with diffusion prior. To achieve our goal, we design several domain-aware motion field adapters (\ie, MOFA-Adapters) to control the generated motions in the video generation pipeline. For MOFA-Adapters, we consider the temporal motion consistency of the video and generate the dense motion flow from the given sparse control conditions first, and then, the multi-scale features of the given image are wrapped as a guided feature for stable video diffusion generation. We naively train two motion adapters for the manual trajectories and the human landmarks individually since they both contain sparse information about the control. After training, the MOFA-Adapters in different domains can also work together for more controllable video generation. Project Page: https://myniuuu.github.io/MOFA_Video/
The Factors of Social Media Usage and Mental Health: A Study on Malaysian Adolescents

Social media is a constantly growing part of adolescents’ lives and is becoming more widely used as technological advancement has grown over the years. It has been shown to be driven by positive and negative gratifying experiences. However, a clear understanding regarding the effects social media has on adolescents’ mental health, as well as the reasons social media is so widely used is still uncertain. This study explored the social media usage amongst Malaysian adolescents in terms of the factors affecting social media usage and the effects it has on their mental health. A qualitative phenomenological approach was used to gather data, by interviewing 10 Malaysian adolescents from Kuala Lumpur and Selangor. Data analysis was conducted by analysing common themes and coding the data accordingly. The results showed that Malaysian adolescents use social media for both positive and negative purposes. Positive purposes included to seek information, to communicate with others, as well as decrease negative mood and boredom. Negative purposes included to seek online validation, due to the fear of missing out, addiction, and the anticipation of positive effects in the future. This is of concern as these purposes caused some to experience more negative than positive effects on their mental health, such as an increase in negative mood and a decrease in self-esteem.
The Disability Inclusiveness of Legally Protected Copyrighted Works from Musical, Audio-Visual and Literal Expressions in Accessible Formats and Legal Protection of Authorship Rights

Copyright is one particular branch of intellectual Property (IP) rights that has recently portrayed fascinating interactions between disability inclusion and the legal protection enjoyed by authored ideas in copyrighted musical, audio-visual and literal works. Emerging discourses on accessibility of authored works to persons with disabilities tend to portray the traditional tendency of solely concentrating on persons without disabilities, as the intended end users or only beneficiaries of the ideas, the knowledge and the music conveyed in copyrighted books, albums or films of copyright authors. The expressions through which these copyrights protections have always thrived have exposed weakness in the context of aggravating the exclusions usually experienced by persons with physical disabilities. It must be born in mind that copyright derives its legal history from protecting the means through which the author has chosen to express their original ideas. In these context concepts of copyrights, authorship and the consequential aspects of the intended audience of authors, seem justified by the merits of protecting the authors’ moral rights and economic interests of other entities and involved stakeholders. However, the growing urge for supporting a social model for underpinning disability rights accounts for emerging view that the nature private rights conferred through copyright protection and oriented to the majority. Hence, an outward looking approach of social models present external surroundings from copyrighted works as playing a key role in promoting the disabling environments by overlooking ways extending those copyrighted ideas to the minorities with differently abled physical abilities. As a result, laws on copyright protections in musical, audio-visual and literal works must be relaxed to give room for translating and transferring of knowledge in formats that not built discriminatively. Hence enabling persons with disabilities to rightfully benefit and inclusively access the knowledge, awareness and enjoyment that the majority had maintained for years. In The popularity of the above argument might partly explains the role of the Marrakesh Treaty, that obliges states to enact copyright legislations protecting the commercialisation of copyrightable works, leave room for translating authored and copyrighted musical, literal, audio-visual, broadcasted works in formats that are accessible to persons with disabilities. In the above context, this paper shall present copyrights as an example of IP rights that is bound to encounter more counter reactions in relation to policies and advocates for disability accessibility. In the same accord the meaning of the stand-alone nature of the Marrakesh Treaty is explained this paper. In this paper shall finalise by highlighting the possibility of new opportunities in relation to future computer software programmes for converting copyrighted works.
Optimization of Collaborative Model of Cold Chain Logistics Transportation and Inventory Based on ACO-KELM

With the increasing demand for cold chain logistics for food, medicine, and other industries, how to improve the transportation efficiency and inventory management level of cold chain logistics has become a research hotspot. This paper proposes a collaborative optimization model of cold chain logistics transportation and inventory based on an ant colony optimization algorithm (ACO) and Kernel Extreme Learning Machine (KELM). The core of this model is to combine transportation route optimization with the forecasting function of inventory management, optimize the transportation route through ACO, and use KELM to accurately forecast inventory demand to realize the dual optimization of transportation and inventory. The comprehensive optimization of transportation routes, inventory holding cost, out-of-stock rate, and other objectives are considered by establishing the collaborative optimization objective function of the cold chain logistics system. Then, combined with the characteristics of the ant colony algorithm and the KELM model, a collaborative fusion mechanism is proposed, and the interactive feedback process of path planning and inventory forecasting is optimized. The total cost of transportation route optimization is 58.74, indicating that cold chain logistics costs are relatively high under the current scheme. At the same time, in terms of inventory management, the inventory holding cost is 21.56, indicating that the inventory cost is relatively controllable. With the further improvement of path optimization, the transportation cost can be reduced to 87.39, while the inventory out-of-stock rate remains at 12.02. The low out-of-stock rate effectively ensures the stability of logistics services. After careful consideration, route selection and inventory management coordination further optimize energy consumption and guarantee efficient operation of cold chain logistics system. The transportation energy consumption is 45.63, while the system's overall energy efficiency is increased to 92.84, indicating that the energy consumption management of the cold chain logistics system has been effectively improved, and collaborative optimization of route and inventory helps improve overall operational efficiency.
14th Carolus Magnus Summer School on Plasma and Fusion Energy Physics

The 14th edition of the Carolus Magnus Summer School on Plasma and Fusion Energy Physicstook place from 20 September to 1 October 2021. The biennial Carolus Magnus SummerSchool (http://www.carolusmagnus.net/) is organised by the Trilateral Euregio Cluster (TEC),a partnership between fusion institutions from Euregio: the Laboratory for Plasma Physics ofthe Royal Military Academy (ERM/KMS) in Brussels (Belgium), the Belgian NuclearResearch Centre (SCKCEN) in Mol (Belgium), the Dutch Institute for Fundamental EnergyResearch (DIFFER) in Eindhoven (The Netherlands) and the Forschungszentrum Jülich (FZJ)(Germany). All these institutes are also members of the EUROfusion Consortium, whichsupports and funds fusion research activities on behalf of the European Commission’s Euratomprogramme. Due to the Covid-19 pandemics, the 14th edition of the Carolus Magnus SummerSchool, originally scheduled to take place in Bad Honnef, Germany in September 2020, wasfirst postponed and then organised as a virtual event, hosted by Forschungszentrum Jülich.
Emergence and Self-Organisation of Complex Systems: the role of energy flows and information a philosophical approach

How order emerges from noise? How higher complexity arises from lower complexity? For what reason a certain number of open systems start interacting in a coherent way, producing new structures, building up cohesion and new structural boundaries? To answer these questions we need to precise the concepts we use to describe open and complex systems and the basic driving forces of self-organization.   We assume that self-organization processes are related to the flow and throughput of Energy and Matter and the production of system-specific Information. These two processes are intimately linked together: Energy and Material flows are the fundamental carriers of signs, which are processed by the internal structure of the system to produce system-specific structural Information (Is). So far, the present theoretical reflections are focused on the emergence of open systems and on the role of Energy Flows and Information in a self-organizing process. Based on the assumption that Energy, Mass and Information are intrinsically linked together and are fundamental aspects of the Universe, we discuss how they might be related to each other and how they are able to produce the emergence of new structures and systems.
Comparison and improvement of time aware collaborative filtering techniques : Recommender systems

Recommender systems emerged in the mid '90s with the objective of helping users select items or products most suited for them. Whether it is Facebook recommending people you might know, Spotify recommending songs you might like or Youtube recommending videos you might want to watch, recommender systems can now be found in every corner of the internet. In order to handle the immense increase of data online, the development of sophisticated recommender systems is crucial for filtering out information, enhancing web services by tailoring them according to the preferences of the user. This thesis aims to improve the accuracy of recommendations produced by a classical collaborative filtering recommender system by utilizing temporal properties, more precisely the date on which an item was rated by a user. Three different time-weighted implementations are presented and evaluated: time-weighted prediction approach, time-weighted similarity approach and our proposed approach, weighting the mean rating of a user on time. The different approaches are evaluated using the well known MovieLens 100k dataset. Results show that it is possible to slightly increase the accuracy of recommendations by utilizing temporal properties.
New Technologies Based on Stem Cell-Therapies in Regenerative Medicine and Reproductive Biology

Stem cells seem to hold major promise for contemporary medicine, one which could almost be more significant than a discovery of DNA and ultimate its relevance for organismal integration in the past century [...]
Analysis of accounting treatment of corporate social responsibility (CSR) reporting

This study aims to determine the accounting treatment of corporate social responsibility reporting at PT. Madani National Capital (Persero) Sukabumi Branch and whether PT. Permodalan Nasional Madani (Persero) Sukabumi branch presents a report on social responsibility outside the main financial report as stated in PSAK No. 1 Paragraph 12 Revised 2009. This study uses a qualitative approach where the researcher analyzes how the accounting treatment of corporate social responsibility reporting in one of the state-owned enterprises. This research is in accordance with the research focus, where researchers expect to be able to obtain a clear and in-depth picture of the accounting treatment and reporting of corporate social responsibility. The results of the study state that the accounting treatment of CSR is recognized as an expense. The recognition of CSR as a burden by PT. National Capital Madani (Persero) so that the amount of the burden is measured based on the number of costs or funds issued by the company when the transaction or activity is carried out. In this case, the costs incurred during CSR activities.
A generalization of some diffusion growth models

A stochastic diffusion growth model is introduced by stochastic differential equation (SDE) in a way that generalizes Gompertz, logistic and Bertalanffy growth models. It follows that there exists continuous, pathwise unique and stable solution of the given SDE. Some properties of trajectories of the growth process are derived. Especially, the problems of maximum likelihood estimation of the unknown drift parameters and model selection based on continuous observations are discussed.
ECONOMIC EFFECTIVENESS OF MOBILE HEALTH INTERVENTIONS IN TELEMEDICINE AND DIGITAL HEALTH (mHealth)

The article systematizes current scientific evidence on the economic effectiveness of mobile health interventions considered as part of telemedicine and mobile health (mHealth) when a digital tool enables remote contact, monitoring, self-management, behavioural support, or clinical follow-up. The relevance of the topic is determined by the growing burden of chronic diseases, increasing healthcare expenditure, the development of digital therapeutic solutions, and the need to provide an economic rationale for scaling mobile applications, text messaging programmes, remote monitoring systems, and other digital health tools. The aim of the article is to summarize approaches to the economic evaluation of mHealth, identify clinical areas with the most developed evidence base, and determine the conditions under which mobile interventions may demonstrate cost-effectiveness, cost-saving potential, or budgetary feasibility. The study was conducted as an analytical literature review using bibliographic analysis, content analysis, comparative assessment, and scientific generalization. The results show that the most consistent economic evidence has been formed in type 2 diabetes mellitus, hypertension, atrial fibrillation, chronic disease management, and digital therapeutic support. In most reviewed studies, mobile interventions were described as cost-effective, economically beneficial, or cost-saving compared with usual care; however, these findings are not universal. The economic outcome substantially depends on the clinical profile of patients, type of digital solution, intensity of follow-up, time horizon, cost components included, analytical perspective, and organizational context of implementation. The article substantiates that mHealth should not be evaluated as a homogeneous class of technologies, but as a set of different intervention models whose economic value emerges only when they are integrated into the patient pathway, supported by clinical feedback, assessed through standardized economic evaluation methods, and verified by real-world evidence. The main limitations of the evidence base remain methodological heterogeneity, insufficient transparency of assumptions, limited budget impact analysis, and the predominance of studies from high-income healthcare systems.
Experimental Optimization of the Energy Characteristics of a Ground Penetrating Radar with Continuous Linear-Frequency-Modulated Radiation

In recent years, research has been actively carried out aimed at developing the concept of construction and ways of technical implementation of ground penetrating radars with continuous wave linear-frequency-modulated (LFM) radiation. The key prerequisites for the creation of such systems are the complex consideration of the operating conditions of the radio channel in the near field, including the features associated with multichannel leakage of the probing signal components into the reception path, the presence of multipath reflections from the covering surface, the variable speed of the electromagnetic wave, and the provision of linear processing of a continuous group broadband radio signal with large dynamic range. The paper proposes and describes a scheme of a laboratory stand for LFM GPR research and optimization of the energy characteristics in modes with critical levels of reflections. The results of experiments on the analysis and optimization of the parameters of the end-to-end transfer characteristic of the radio channel are presented. Response studies were performed for two types of antennas at different suspension heights. The responses of the system to an increase in the durtion of the probing pulse and a change in the type of window function were evaluated. An empirical dependence of signal losses during propagation in radio channels of LFM GPR has been established. The conducted studies will improve the energy characteristics of ground penetrating radars with continuous LFM radiation by increasing the detection efficiency of shallow and near-surface objects.
The Role of Human Resource Information Systems (HRIS) in Employee Performance Management

Abstract: Performance management is a critical function within human resource management (HRM), directly impacting organizational effectiveness and overall employee development. In the digital era, Human Resource Information Systems (HRIS) have emerged as powerful tools for streamlining and enhancing performance management processes. This paper explores how HRIS contributes to effective employee performance management by offering functionalities such as real-time feedback, performance tracking, goal alignment, and data-driven decision-making. The study also identifies key benefits, implementation challenges, and best practices based on literature and practical insights.
Generative Al and child sexual abuse material (CSAM): A novel risk to the Sri Lankan community

Background: The rapid growth of Artificial Intelligence (AI) has made online child sexual abuse an emerging social problem. Child Sexual Abuse Material (CSAM) is being produced using Al and includes stripping images of children, using text prompts to generate CSAM, and creating pedophile manuals. Though prior research has focused on online child sexual abuse, little attention is paid to the interplay between Generative AI and CSAM, especially in developing countries. Hence, the objective of this study was to analyze the potential risk Sri Lanka has on Al-generated CSAM and suggest working solutions based on the international response. Method: Adhering to qualitative research design, a systematic review was conducted on papers concerning online child sexual abuse, local legislation, and eight British Broadcasting Corporation (BBC) reports (Feb 2024 Feb 2025) on Al-generated CSAM. Simultaneously, thematic analysis was performed to recognize the local risk and viable solutions. Results: The study identified three risk factors for AI-generated CSAM in Sri Lanka, including the non-regulated use of Generative AI, lack of awareness, and increased amount of child sexual abuse in the post-pandemic period. Meanwhile, two international responses were identified concerning this issue. This includes the pledge from tech giants to crack down this via Safety by Design principles, and the UK's decision to outlaw AI-generated CSAM. Other than provisions on obscene publications, and child sexual abuse, no specific local provisions on Al-generated CSAM were identified. However, Sri Lanka's National Strategy on Al was found to be a foundation for extending specific solutions on demand. Conclusions: Incorporating this concept into national policies on children and AI will foresee the danger ahead. While updating legislation, including the Penal Code and Computer Crime Act, with specific provisions for Al-generated CSAM, the regulation of Generative Al is recommended. Hence, promoting responsible digital usage will create a safer digital space for children.
CARBON FOOTPRINT ACCOUNTING AND EVALUATION OF AUTOMOTIVE AIR CONDITIONING FILTERS BASED ON LIFE CYCLE ASSESSMENT (LCA)

Driven by the "dual carbon" goals to promote the green transformation of the automotive industry, the full-life-cycle carbon footprint of automotive components has become a core focus of the industry's low-carbon development. This study takes automotive air conditioning filters as the research object. Based on the Life Cycle Assessment (LCA) methodology, it defines the carbon footprint accounting boundary covering the "raw material acquisition - production - transportation - end-of-life" process, constructs a carbon footprint calculation model, and conducts full-life-cycle carbon footprint accounting for three typical automotive air conditioning filters. The results show that the raw material acquisition stage is the main contributor to the carbon footprint of automotive air conditioning filters, accounting for more than 60% of the total. Furthermore, approaches to reduce the product's carbon footprint are proposed, including material substitution, process optimization, energy and auxiliary material upgrading, and waste recycling. The research results provide a theoretical basis and data support for the low-carbon design, production optimization of automotive air conditioning filters, and carbon management of the automotive industry chain.