Reviewerly/exHarmony huggingface dataset:
How FaaS with DBaaS performs in different regions: an evaluation by the Orama Framework

Studies indicate that cloud services based on the serverless paradigm, such as Function-as-a-Service (FaaS) should become the main mechanisms of the next generation of cloud computing. Given this perspective, public cloud providers have made efforts to expand the coverage of their services in order to meet this need. However, the effort needed to maintain equivalence between different regions highlights the importance of studying the behavior of FaaS environments in different regions of providers. This work presents a study aided by the Orama framework in order to evaluate the performance of the main FaaS integrated with Database-as-a-Service (DBaaS) services in five regions spread across the globe. The results indicate that the Alibaba provider was able to guarantee good equivalence between its regions, in addition to a lower average execution time. AWS and GCP had similar results, although the error rate on AWS was the highest on average. Azure, on the other hand, had the worst performance, with the highest average execution time, in addition to significant failure rates.
Armazenamento - Melhores praticas - Construindo sistemas de armazenamento com a performance adequada

In this book are the six mini-courses presented during the XXIV Symposium on High Performance Computing Systems, held from October 17th to 20th, 2023, in Porto Alegre, RS. The first chapter covers essential concepts of processing and analyzing large volumes of data, practicing the use of machine learning algorithms. In the second chapter, readers are introduced to understanding the operation of the OpenMP distributed programming model through the introduction of the OpenMP Cluster. Chapter three explores challenges and solutions associated with complex applications that deal with large volumes of data, aiming to optimize the performance and power consumption of parallel applications. Automated solutions that enable reproducible and shareable installation of packages entirely in user spaces, reducing costs and errors for system administrators, are presented in chapter four. Chapter five aims to present the concepts of an adaptive/evolutionary system, Evolutionary Hardware (EHW), characterized by a high level of parallelism. Finally, chapter six discusses storage systems, covering various connections such as SATA, SCSI, SAS, iSCSI and Fiber Channel, highlighting the advantages and disadvantages of each of these connections.
Are you root? Reproducible Experiments in User Space

In this book are the six mini-courses presented during the XXIV Symposium on High Performance Computing Systems, held from October 17th to 20th, 2023, in Porto Alegre, RS. The first chapter covers essential concepts of processing and analyzing large volumes of data, practicing the use of machine learning algorithms. In the second chapter, readers are introduced to understanding the operation of the OpenMP distributed programming model through the introduction of the OpenMP Cluster. Chapter three explores challenges and solutions associated with complex applications that deal with large volumes of data, aiming to optimize the performance and power consumption of parallel applications. Automated solutions that enable reproducible and shareable installation of packages entirely in user spaces, reducing costs and errors for system administrators, are presented in chapter four. Chapter five aims to present the concepts of an adaptive/evolutionary system, Evolutionary Hardware (EHW), characterized by a high level of parallelism. Finally, chapter six discusses storage systems, covering various connections such as SATA, SCSI, SAS, iSCSI and Fiber Channel, highlighting the advantages and disadvantages of each of these connections.
Investigating Causally Augmented Sparse Learning as a Tool for Meaningful Classification

Scientists and policy makers have become interested in ways to limit the harm caused by machine learning methods. Algorithmic recourse attempts to limit harm done by making action recommendations that change the undesirable output from a machine learning model. A major challenge with recourse recommendations is their tendency to suggest actions that change the model output without changing the target being predicted. Recourse recommendations that improve both the model prediction and the underlying target are referred to as meaningful. In this paper, we use a technique from knowledge discovery as the basis for the first machine learning algorithm designed so that recourse recommendations generated for its prediction will be meaningful. We empirically compare our algorithm to other common classification algorithms and show it has significantly better performance in terms of meaningful recourse without sacrificing accuracy.
A Knowledge-Driven Approach to Dynamic Path Planning: Fuzzy A*-Based Method for Scalable Multi-Agent Systems

Path planning plays a pivotal role in the successful deployment of multi-agent systems. However, the adaptability and scalability of traditional path planning algorithms falter in dynamic, complex environments. This paper introduces the Fuzzy A* algorithm – an innovative path planning approach that combines the deterministic A* algorithm with the adaptability of fuzzy logic. The proposed algorithm modifies the cost and heuristic functions dynamically in response to local environmental variables, offering a more robust solution to the challenges faced in large-scale, dynamic environments. This paper explains the principles underpinning the Fuzzy A* algorithm and explores its potential in complex scenarios. Through benchmarking against traditional path planning algorithms, we underscore the superior adaptability, efficiency, and scalability of the proposed algorithm. The study presents this innovative algorithm as a promising future solution in path planning for scalable multi-agent systems.
I Know Where You Are: A Non-intrusive Geospatial–Electrical Authentication System.

The Zero Trust security model is being applied to IT systems recently, leading to changes in the security model. Zero Trust requires continuous authentication for all actions and elements, including users, computing devices, and data. This necessitates additional costs and policy changes, which can impact user convenience. In this paper, the GEA system is proposed, which performs geographical-electrical authentication between a building’s power system and computing devices. By utilizing the building’s power system to generate power patterns and detecting them on computing devices, geographical-electrical authentication is achieved. The feasibility and efficiency of this system are validated through experiments. The GEA system provides transparent authentication to users and offers advantages of cost savings and maintenance without modifying existing infrastructure. Additionally, it analyzes power patterns to determine geographical location and provides security measures.
EVALUATION OF THE EFFECTS OF HEAVY METALS ON WATER FROM ILLEGAL CRUDE OIL REFINERIES: A CASE STUDY OF THREE SELECTED COMMUNITIES IN THE NIGER DELTA REGION, NIGERIA

In order to assess the levels of heavy metals and health concerns associated with the operations of illicit refineries in water, 15 surface water samples were taken from Okerenkoko, Peterou-Gbene, and Bille in the Niger Delta region of Nigeria. A number of heavy metal indices, including the Contamination Factor (Cf), Pollution Load Index (PLI), Modified Degree of Contamination (mCd), Ecological Risk Factor (Erf), and Geo Accumulation Index (Igeo), were successfully applied in the evaluation of heavy metal contamination in surface water using World Health Organization WHO (2011) and Nigerian Standard for Water Quality NSDWQ (2007) standards. Additional research from WHO and NSDWQ comparisons revealed that the majority of the investigated heavy metals were higher than permissble limits in comparison to the control site. Although the concentration of heavy metals in the aquatic habitats varies amongst the various communities in the area, according to the CV. Additionally, CV contends that there is a connection between the illicit refiners’ actions at the study site and the water chemistry changes that result in surface water contamination. According to data from the WHO and the NSDWQ, the majority of heavy metal concentration readings in the study sites exceeded the acceptable limits when compared to those in the control site. According to the results of heavy metals indices such as Cf and PLI, the surface water in the analyzed site ranges from very slightly contaminated to extremely contaminated. However, Erf and Igeo findings showed that human activities through illegal refiners increase heavy metal concentration, which results in a very high potential ecological risk associated with surface water. Additional mCd results demonstrated that in the studied sites, the surface water has a high degree of contamination. The findings suggest that surface water assessment is required to warn against a decline in water quality in the area.
SPATIAL DISTRIBUTION OF ARTISANAL GOLD MINING ON SOIL AND WATER QUALITY IN KATERIGI LOCAL GOVERNMENT OF NIGER STATE, NIGERIA

The mineral resources of Niger State are largely underdeveloped and therefore are characterized by artisanal miners’ activities reportedly operate illegally and informally. Niger State is among many other States in Nigeria that has abundance of mineral resources such as; Tantalite, Baryte, Chalcopyrite, Iron ore, Cassiterite, Coal, Columbite, Clay, Limestone, Felspar, Lead, Silica Sand, Sphalerite, Marble, Bauxite, Granite and Gold. These solid minerals are found in each of the twenty five Local Government Areas (LGA’s) of the State. For instance, at Kataergi LGA is blessed with Gold, Coal and Baryte. In Niger state, mining of gold has being left in the hands of artisanal miners who do not have enough resources and adequate equipment, technology and education required for the mining activities. Minna and its environment as a major gold field are in the hands of artisanal miners particularly in Luku, Chanchaga Katerigi just to mention a few. ArcGIS 10.8 was used in mapping the soil and water quality parameters for interpolating the nitrate and other physicochemical concentration. Interpolation methods such as kiriging, spline, IDW and natural neighbor are analytical tools used in determining the heavy and low metal concentration. Inverse Distance Weighting (IDW) determines multivariate interpolation with a known scattered set of points. The result of the communalities shows that all the variables are well and completely fitted with the factor solution and none could possibly be dropped from the analysis. From the table 1-5, it can be deduced that 6.66% of the variance associated with the variable in (mg/g). Similarly, there was variance of 98.7%, 98.4%, 91.7%, 98.3%, 97.9%, 76%, 95.6% and 73.2% for heavy metals such as Ni, Cr, Pb, Cu, Zn, Cd, Mn, and Fe.
An Online Approach for Dyslexia Screening to Test a Child

Dyslexia is a learning disability, which manifests itself in a limited reading and spelling ability. Dyslexia, when not diagnosed early could have serious implications in later life, such as limited educational and professional development. The method involved the application of the psychometric tool Dyslexia Screening Test – Secondary (DST-S) and the observation of disability specific traits, such as handwriting. The male child’s psychometric screening test score (1.0) indicated a strong risk at dyslexia. The implications of the results and the potential addition of the two absent test items are taken into account to view possible result differences.
The Logic, Difficulties and Paths of AI Empowering the Community to Develop High-Quality Sports

This paper aims to explore how to empower community sports through artificial intelligence technology to achieve its high-quality development. Firstly, the application potential of artificial intelligence in the field of sports is introduced, including data analysis, intelligence-assisted training, and virtual reality and so on. Then, the paper analyses the development difficulties faced by community sports, including insufficient resources, low service quality and low participation rate. Then, the logic and significance of empowering community sports with artificial intelligence are discussed, including improving service efficiency, personalized demand satisfaction, and national participation, etc., and a more detailed analysis is made from these aspects to provide a basis for the proposal of follow-up strategies. Finally, the paper puts forward the path of the development of community sports enabled by artificial intelligence, including the strategies of strengthening technology research and development and innovation, building intelligent sports facilities, strengthening training and popularization, etc. At the same time, it puts forward the implementation measures corresponding to the above one by one, so as to make the way to solve the problem clearer and provide strategic reference for the higher quality development of community sports in the future.
Human action recognition on campus monitor by integrating non-local attention mechanism

Campus serves as the primary location for students to engage in both study and living, hence it is crucial to guarantee the safety of students during any activities carried out on campus. The use of video surveillance for the automatic identification of student activities is an efficient approach to enhance security management. This paper presents a neural network model that incorporates a non-local attention mechanism to analyze human action in a campus environment. The model is pre-trained on public datasets and then trained and tested on self-built scenario datasets for the campus. The experiment compared the differences between having an attention mechanism versus not having one, as well as the impact of the location of the attention module insertion on the results. Meanwhile, we compared it with other public methods. The results showed that the model in this paper was able to effectively identify behavioral categories in surveillance videos, achieving an accuracy rate of 91. 5 %, an improvement of 4. 3 percentage points over the baseline model. This article provides an improvement approach for identifying student behavior activities in campus settings, and to some extent contributes to improving campus safety.
METHODOLOGY OF TEACHING IN THE CATEGORICAL FIELD OF PROFESSIONAL TRAINING OF HIGHER SCHOOL TEACHER

The article deals with the problems of teaching methods in the categorical field of professional training of higher education teachers which testify to the multifaceted scientific directions of the studied concept in the theory and methods of professional pedagogical training of higher education teachers. The dynamics of development of such concepts as "science", "subject", "teaching method", "methodical competence" are directly proportional to the individual content and quality characteristics and opportunities for their use by a high school teacher who is able to ensure the general direction of learning in a particular methodological system. In the methodological system, methods are ways to achieve goals and content, the embodiment of psychological mechanisms of education and training. Focusing on the implementation of various methodological systems opens up the possibility of simplifying the procedure for selecting specific methods and making them more coherent, harmonious and interactive. Methodological systems do not exist in its pure form in real conditions. These are abstract models that are needed to clarify the structure, nature and capabilities of each type of learning. In real learning systems, the selected types and corresponding teaching methods are used in certain combinations and complement each other. There is no and obviously cannot be any universal method or methodical system of teaching. Training is always based on a certain composition of methods taking into account the specific goals, conditions and circumstances of training. The article pays appropriate attention to the issue of methodological competence, the formation of which is embodied through the purposeful development of pedagogical science, methodological literacy, methodological thinking, methodological reflection and methodological culture. A high school teacher can implement his/her own methodological competence, see the degree of its formation and ability to use the acquired competencies, choosing adequate training methods in the process of training during his or her first independent steps in professional activity, during pedagogical practice and in the process of direct participation in educational process of higher educational institutions.
Sebaran Timbal pada Tanah di Areal Persawahan Kabupaten Sidoarjo

The existence of this industry in Sidoarjo has the negative potential impact to the environment, namely the accumulation of heavy metals in paddy fields. The magnitude of the impact that can be caused by the presence of lead heavy metals, research is needed that is expected to provide information related to the concentration and distribution of lead on land in Sidoarjo district. The distribution will later be elaborated by mapping using Geographic Information Systems. The purpose of this research is to identify the potential distribution of lead heavy metals in soil and soil in Sidoarjo paddy fields and the potential impact of lead accumulation on the environment. Samples taken were soil in the paddy fields, with 18 location points. The method used in the identification of lead distribution in paddy fields in Sidoarjo district is survey and laboratory testing, where the pattern of lead content distribution in paddy fields is carried out using spatial analysis with the spline with barrier method Arcgis 10.1. The highest distribution of lead content in paddy fields in Wonoayu District, 0.46 ppm. The highest dominant distribution pattern of lead pollution in paddy fields is Wonoayu and Waru sub-districts.
Impact of Human Intelligence on Organizational Outcomes: The Moderating Role of Machine Intelligence

This study aims to assess the collective impact of human and machine intelligence on the organizational performance of banking sector employees. A quantitative, deductive research approach is applied to this research. Data is collected through non-probability, and convenience sampling techniques and the selected sample size was 351 for this PLS-SEM (structural equation modeling) was used for data analysis through SMART PLS. The research indicates that EI and CQ influence employee performance. However, the study highlights a minimal moderating effect of employee AI capability in their interactions with customers. In Pakistan, enhancing employee commitment to improving customer experience is essential. This can be achieved by connecting customer feedback to how employees provide services. This connection can substantially improve AI capabilities and overall service quality, particularly in terms of external service performance and organizational outcomes. The definition of emotional and cultural attributes varies from respondent to respondent. Time limitation was also another factor while conducting this research. The data is collected only by Karachi-based banking employees in this way the findings are limited to location. The study emphasizes the paramount of EI on organizational performance internal or external so, to gain competitiveness there is a need to strengthen the EI of employees by involving them in the communication and decision-making process of the organization.
Strategi pemasaran melalui media sosial untuk meningkatkan keputusan pembelian pada perusahaan pakaian olahraga

The aim of the research is to find out how the sportswear company's strategy is described in utilizing social media as a marketing tool so that purchasing decisions are created. The method used is descriptive qualitative. Data collection techniques are interviews, observation, documentation. Data validity includes credibility, transferability, dependability, and certainty. Data analysis techniques include data reduction, data presentation, conclusions and verification. The results of marketing through Instagram social media can improve purchasing decisions, companies can maintain product quality through key performance indicators so that they are specifically able to help achieve company operational targets in maintaining product quality by strengthening standard operating procedures as a guide or company steps in completing work. Monitoring or good supervision and responsibility between divisions can maintain the quality of the company's products. In conclusion, the success of a sportswear company in creating purchasing decisions through the strategy of a sportswear company utilizing social media such as creating interesting content and communicating well to potential customers has a significant influence on purchasing decisions.
Analisis Kualitas Layanan E-Tracking J&amp;T Cargo menggunakan COBIT 5

In today's practical digital era, this has fueled the presence of companies operating in the field of technology-based logistics services, for example J&amp;T Cargo. One of the industries currently developing in Indonesia is the logistics transportation services industry due to the growth of e-commerce over the last decade. J&amp;T is a logistics company that helps customers pack and send their goods. J&amp;T cargo e-tracking is a service used to track package information, track outlets and also check postage which can be done independently without having to go to the outlet, making it easier for consumers to obtain information quickly and more efficiently. This research focuses on the COBIT 5.0 domain Deliver, Service, and Support (DSS) framework which aims to obtain the level of satisfaction of users of the J&amp;T Cargo E-Tracking service. So the research results show that the lowest current maturity level value in the DSS domain is the DSS02 process, namely at level 3 (Established Process) and the other 5, namely DSS01, DSS03, DSS04, DSS05, DSS06 are at level 4 (Predictable process). From the results of measuring the maturity level, the as-is and to-be values ​​are obtained which will be the targets for IT governance of E-tracking services at J&amp;T Cargo.
TIKTOK AS AN EFFECTIVE MARKETING TOOL FOR HIGHER EDUCATION

This study is to explore the potential of TikTok as a marketing tool for higher education institutions, employing literature review approach. The use of literature review in the study may have allowed for a deeper exploration of the experiences and perceptions of individuals who have used TikTok as a marketing tool for higher education institutions. The writing examines how TikTok can effectively promote higher education institutions and reveals that it offers a distinctive platform to highlight campus culture, values, and programs in a dynamic and captivating manner. TikTok can increase knowledge of the academic programs offered by higher education institutions, which can lead to greater brand awareness and engagement with prospective students. Therefore, this study concludes that TikTok has the potential to be a valuable marketing asset for higher education institutions seeking to engage with prospective students and build their brand image. Overall, it appears that TikTok has the potential to be a valuable marketing asset for higher education institutions seeking to build their brand image and engage with prospective students. TikTok emerges as a promising channel for higher education institutions to navigate and thrive in the digital age. By connecting its creative prowess while manoeuvrings its challenges, institutions can authentically showcase their academic programs, elevate brand recognition, and foster deeper connections with prospective students. However, it is important to note that the effectiveness of TikTok as a marketing tool may depend on various factors, such as the target audience and the specific goals and strategies of the higher education institution and need for further studies.