Miracle-dz/UniFAR-FTUs huggingface dataset:
Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects

Database management systems are facing growing data volumes. Previous research suggests that GPUs are well-equipped to quickly process joins and similar stateful operators, as GPUs feature high-bandwidth on-board memory. However, GPUs cannot scale joins to large data volumes due to two limiting factors: (1)~large state does not fit into the on-board memory, and (2)~spilling state to main memory is constrained by the interconnect bandwidth. Thus, CPUs are often the better choice for scalable data processing. In this paper, we propose a new join algorithm that scales to large data volumes by taking advantage of fast interconnects. Fast interconnects such as NVLink~2.0 are a new technology that connect the GPU to main memory at a high bandwidth, and thus enable us to design our join to efficiently spill its state. Our evaluation shows that our Triton join outperforms a no-partitioning hash join by more than 100× on the same GPU, and a radix-partitioned join on the CPU by up to 2.5×. As a result, GPU-enabled DBMSs are able to scale beyond the GPU memory capacity.
An empirical study on the Performance and Energy Consumption of AI Containerization Strategies for Computer-Vision Tasks on the Edge

Context. The rise of use cases of AI catered towards the Edge, where devices have limited computation power and storage capabilities, motivates the need for better understating of how AI performs and consumes energy. Goal. The aim of this paper is to empirically assess the impact of three different AI containerization strategies on the energy consumption, execution time, CPU, and memory usage for computer-vision tasks on the Edge. Method. In this paper we conduct an experiment with the used containerization strategy as main factor, with three treatments: ONNX Runtime, WebAssembly, and Docker. The subjects of the experiment are four widely-used computer-vision algorithms. We then orchestrate a series of runs where we deploy the four subjects on different generations of Raspberry Pi devices, with different hardware capabilities. A total of 120 runs (per device) are recorded to gather data on energy, execution time, CPU, and memory. Results. We found a statistically significant difference between the three containerization strategies on all dependent variables. Specifically, WebAssembly proves to be a valuable alternative for devices with reduced disk space and computation power. Conclusions. For computer-vision tasks with limited disk space and RAM memory requirements, developers should prefer WebAssembly for deployment. The (non-dockerized) ONNX Runtime resulted to be the best choice in terms of energy consumption and execution time.
A Scoping Review of Ethics Across SIGCHI

Ethical deliberation has proved a consistent feature of Human-Computer Interaction (HCI) since its earliest years, spanning the respectful involvement of research participants to design choices impacting fairness, freedom and welfare. Despite growing discussions, applied knowledge and practical approaches for navigating complex moral dilemmas remain challenging to grasp. Motivated by the need for a structured overview, this paper contributes a scoping review of ethics as discussed across 129 full-length SIGCHI papers containing the search term ‘ethic*’ in their title, abstract or authors’ keywords over the last ten years. Findings show increasing prioritisation of the topic, particularly within Artificial Intelligence. Value-Sensitive and Critical Design appear as the most frequently applied orientations, and participatory approaches are more prevalent than those without end-user input. Engaging with a spectrum from personal to societal concerns, the SIGCHI literature thus echos calls for critical perspectives on user-centred processes and the need to establish more sustainable responsibility structures.
Developing Intentional Relationships with Technologies: An Exploratory Study of Players’ Experiences with Built-in Interventions in Games

There has been growing concern about digital well-being, especially given the emerging adverse impact of technology overuse. While prior studies have developed a variety of stand-alone techniques to combat technology overuse, little work has been done to build interventions directly into technologies to regulate usage. In this study, we designed three interventions that remind players to take a break in a casual mobile game. We explored players’ experiences with these interventions through a 4-day deployment study and follow-up interviews (N=16). Findings suggest that while some players had a positive experience with the game that had built-in interventions, others experienced unintended outcomes such as disrupted immersion or longer play sessions. We also found that interventions seemed to be more likely to succeed when players experienced a sense of accomplishment or negative emotions. We discuss the implications of the study and provide preliminary suggestions for designing built-in interventions.
Intelligent Automated Workload Analysis for Database Replatforming

Performing a detailed workload analysis is a crucial step in determining the feasibility, timeline and cost of a major data warehouse replatforming project, i.e., migration from one platform to another. A large company's data warehouse applications may include millions of queries, some of which will use features that are unsupported or have different semantics in the new warehouse, or may have poor performance there. In this paper we present qInsight, a workload analyzer that Datometry has used in data warehouse replatforming efforts for dozens of major clients. qInsight leverages Datometry's Hyper-Q to obtain insights from a workload, including SQL features and workload structural information that could not be obtained without deep query analysis. qInsight uses the identified features and a weighting scheme based on human expert judgments to assess the difficulty of rewriting each application in the workload via traditional migration methods. Datometry's clients find this information useful in planning their projects, including the order in which to migrate applications. We present a qInsight-based data warehouse usage analysis of over 1.7 billion queries from real-world workloads.
Confidence Bounded Replica Currency Estimation

Replicas of the same data item often exhibit varying consistency levels when executing read and write requests due to system availability and network limitations. When one or more replicas respond to a query, estimating the currency (or staleness) of the returned data item (without accessing the other replicas) is essential for applications requiring timely data. Depending on how confident the estimation is, the query may dynamically decide to return the retrieved replicas, or wait for the remaining replicas to respond. The replica currency estimation is expected to be accurate and extremely time efficient without introducing large overhead during query processing. In this paper, we provide theoretical bounds on the confidence of replica currency estimation. Our system computes with a minimum probability p, whether the retrieved replicas are current or stale. Using this confidence-bounded replica currency estimation, we implement a novel DYNAMIC read consistency level in the open-source, NoSQL database, Cassandra. Experiments show that the proposed replica currency estimation is intuitive and efficient. In most tested scenarios, with various query loads and cluster configurations, we show our estimations with confidence levels of at least 0.99 while keeping query latency low (close to reading ONE replica). Moreover, the overheads introduced due to estimation scoring and training are low, incurring only 0.76% to 1.17% of the query processing and replica synchronization time costs, respectively.
Designing for Culturally Sensitive Cultural Change: A case study of designing for the visibility of Saudi women in the digital media

Online self-presentation is recognized as a global phenomenon largely influenced by and sensitive to users’ cultural norms. However, incorporating cultural understanding into the design process can be challenging. Designing for culture creates dilemmas between designing for a pre-existing cultural ‘status quo’ or for cultural change. We argue that culturally sensitive design should not be a tool for (i) perpetuating existing cultural inequalities or (ii) empowering the individual isolated from their wider cultural milieu. We propose “designing for culturally sensitive cultural change”—a process in which we support creating a trajectory departing from the status quo, to bridge the gap between people's aspirations and practices related to cultural change. We demonstrate this in a case study on designing for Saudi women's self-presentation in digital media. We conclude with reflections on cultural sensitivity in designing for cultural change and broader implications for HCI.
CustomizAR: Facilitating Interactive Exploration and Measurement of Adaptive 3D Designs

Online 3D model repositories such as Thingiverse offer millions of open source designs that are shared for reuse and remix. Many of the designs are customizable to adapt to real-world objects upon personal needs of varying tasks and physical dimensions. However, it is challenging for novices to discover such designs using text-based search queries, comprehend what each parameter means for customization, locate these parameters on the target objects for measurement, and conduct measurements correctly. These challenges may cause the designs to be incorrectly adjusted, thus failing to function as expected and requiring users to start over, which costs additional time and material. We present CustomizAR, a pipeline for facilitating the interactive exploration of adaptive designs and the measurement of real-world constraints to fabricate them correctly. CustomizAR supports the search and discovery of adaptive 3D designs using an object-centric graph-based data structure, and guides users through an interactive measurement process leveraging computer vision techniques. Our technical evaluations and user studies demonstrate that CustomizAR facilitates effective discovery, adjustment, and reuse of adaptive designs that are shared online.
A Study of the Controlled Motion of a Four-wheeled Mecanum Platform

The object of the study is the mobile platform of the KUKA youBot robot equipped with four Mecanum wheels. The ideal conditions for the point contact of the wheels and the floor are considered. It is assumed that the rollers of each Mecanum wheel move without slipping and the center of the wheel, the center of the roller axis, and the point of contact of the roller with the floor are located on the same straight line. The dynamics of the system is described using Appel’s equations and taking into account the linear forces of viscous friction in the joints of the bodies. An algorithm for determination of the control forces is designed. Their structure is the same as that of the reactions of ideal constraints determined by the program motion of the point of the platform. The controlled dynamics of the system is studied using uniform circular motion of the platform point as an example: conditions for the existence and stability of steady rotations are found, conditions for the existence of stable-unstable stationary regimes and rotational motions of the platform are obtained. Within the framework of the theory of singular perturbations, an asymptotic analysis of the rotation of the platform is carried out.
An Approach to Design and Evaluation of eGovernment Theory for An Approach to Design and Evaluation of eGovernment Theory for South Africa South Africa

e-Government is used to provide improved government services, greater public service efficiencies and cost containment, utilising the ever-changing possibilities offered by ICTs. The field is considered by researchers to be in urgent need of theory development. This requires a suitably rigorous research framework. The principal objective of this study is to articulate and demonstrate an integrated generic research framework for e-Government theory for South Africa and which might also be of interest internationally. Pertinent aspects of the study are described to illustrate the proposed research framework, after which the full research methodology and its phases are presented. This work contributes to e-Government theory research by establishing and applying a rigorous application of Design Science Research (DSR) process steps of suggestion, design and observational as well as analytical evaluation of design theory artefacts in the field of e-Government theory.
THE ASSESSMENT OF AMBIENT AIR POLLUTION PATTERN IN SHAH ALAM, SELANGOR, MALAYSIA

This study implements the statistical analysis to establish the association between air pollution trends with the industrial activities in Shah Alam, Selangor. PCA used to identify most significant parameters contributing to air pollution and it sources of pollutions, whereas SPC used to determine the pattern and contribution each of most significant pollutants in the study area and Spearman Correlation used to determine the relationship between air pollutants and meteorological factors. The result identified the major possible sources of air pollution were 38.3% and 32.46% of total variance. The patterns for most significant parameters mostly exceeding RMAAQG from 2009 to 2011 and has improved starting 2012. It also found correlation between air pollutants and meteorological was significantly low Thus, it concluded that pollution in Shah Alam was due to high combustion and emission from vehicles.
Methods of obtaining smooth surface in 2D/3D surface reconstruction

SUMMARY Surface reconstruction is an emergent research area in the field of computer aided design and manufacturing. There are various methods / algorithms which are working considerably well for surface reconstruction problem but we cannot say to the best of our knowledge that we got all the solutions. Missing surface can be repaired either by surface patch or by extending boundary curves. However, in both cases, surface smoothening problem arises in form of flat surface. The present paper has been tried to offer a solution to above problem which makes the curve smoother.
A Novel Successive Interference Cancellation Arithmetic Based on NOMA System

As one of the key candidate technologies for 5G, the NOMA (Non-orthogonal Multiple Access Technology) employs the way of power domain reuse, which has improved the system throughput and frequency utilization effectively. Among the existing discussions about the NOMA system, it is mostly acknowledged that the folding signal is completely synchronous. However, in the actual using, the folding signal is not completely synchronous. Aiming at the time delay problem of the folding signal during different users’ transmitting, this paper puts forward a new successive interference cancellation algorithm. Firstly, the constructional output data is gotten through the way of asynchronous sampling. Then, the symbol is reconstructed by the manner of the new successive interference cancellation in the receiving terminal. The results show that the new method has obtained the cleaner exceptional properties of the interference signal cancellation. Meanwhile, the channel status information is estimated through Kalman filter dynamic analysis, thus improving the error code property of the whole channel.
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Measurement of Desarginine Fibrinopeptide B in Human

A B S T RA C T Thrombin converts fibrinogen to fibrin in two steps. First fibrinopeptide A and fibrin I are formed and then fibrinopeptide B (B,3 1-14) and fibrin II. Since it is postulated that fibrin II is important in the genesis of thrombosis, it is of interest to measure fibrinopeptide B in peripheral blood samples. Previous difficulties in interpreting fibrinopeptide B immunoreactivity in plasma resulted from crossreaction of fibrinogen and of plasmin digest peptides B,3 1-42 and Bf3 1-21 and from rapid loss of fibrinopeptide B immunoreactivity resulting from cleavage of arginine 14 by blood carboxypeptidase B. Wehave obviated these difficulties by removing fibrinogen from plasma by precipitation with ethanol and peptides Bf3 1-21 and BP 1-42 by adsorption on bentonite. Fibrinopeptide B is then converted to desarginine fibrinopeptide B, which is measured in a new specific assay. Studies of the kinetics of fibrinopeptide cleavage showed that when whole blood was allowed to clot in vitro, fibrinopeptide A was cleaved more rapidly than fibrinopeptide B. In 18 patients on an acute care medical ward, desarginine fibrinopeptide B levels were lower than fibrinopeptide A levels and did not correlate with the levels of fibrinopeptide A or B,B 1-42. Desarginine fibrinopeptide B levels were <1 pmol/ml in all but two patients. In six patients receiving intraamniotic infusions of hypertonic saline to induce abortion, desarginine fibrinopeptide B levels increased 10-fold from the preinfusion mean level of 0.4 pmol/ml and then decreased. The pattern of changes resembled that of the fibrinopeptide A levels rather than of the B,8 1-42 levels. On the basis of these data it is suggested that plasma desarginine fibrinopeptide B levels reflect fibrin II formation in vivo.
Role of Social Media Marketing on SMES Brand Awareness in Nigeria Nwali Ndidi1 and Ntegeeh, Afred2

It is argued that Small and Medium Scale Businesses have little financial strengths to expose their business to the target audience (Hajli, 2014). This makes things challenging at the moment of capturing new customers and maintaining a brand relevant in the market, since at the same time other businesses are trying to make their brand visible as well. However, posting a company’s product or service on the internet and having a social media account is not enough to make the brand become known and to stand out from the rest. When creating internet advertisements, or using social media as a tool for marketing, businesses utilize these platforms by constantly developing content to keep up with their competitors and exceed them.
A percepção de comportamentos relacionados à atenção plena e a versão brasileira do Freiburg Mindfulness Inventory

Mindfulness is a practice and a form of consciousness which has been the basis for innovative interventions in care and health promotion. This study presents mindfulness, describes and discusses the process of cultural adaptation of The Freiburg Mindfulness Inventory (FMI) to Brazilian Portuguese. From the original version of this pioneering instrument for assessing mindfulness two translations and two back-translations were made. These were evaluated by a committee of 14 experts (Buddhists, linguists, health professionals), who helped to create two versions for the first pre-test, based on which suggestions were made by a sample of 41 people of the population through interviews. Considering the difficulties in understanding the concepts that are unfamiliar to the Brazilian culture, a new version was prepared with additional explanations, which underwent a further evaluation of the experts and a second pre-test with 72 people. This process aimed at addressing the limitations and challenges of evaluating mindfulness in a country of western culture through a self-report instrument based on Buddhist psychology. With appropriate levels of clarity and equivalence with the original instrument, the Freiburg Mindfulness Inventory adapted for Brazil is presented.
Unemployment Insurance and Job Quality: Evidence from the COVID-19 Pandemic

The acute economic downturn caused by the COVID-19 pandemic motivated a broadbased expansion of unemployment insurance (UI) policies. While many previous papers have examined UI’s effect on the probability of employment, few have studied its impact on employment quality. In this paper, I use data from the Current Population Survey to analyze the impact of UI benefits on reemployment job quality. I create a novel comprehensive dataset of state UI eligibility and benefit schedules to compute estimated weekly UI benefit receipt between 1996 and 2021. I find that the pandemicera UI supplements had no significant impact on workers’ job quality following an unemployment spell. Separate from temporary UI extensions, I find that standard state UI benefits exhibit no significant relationship with reemployment outcomes prior to 2018. However, this association is positive and statistically meaningful in the more recent period that includes COVID-19. While these results present some suggestive evidence that more generous UI benefits coincide with improvements in job quality, the causal effect of UI benefits in less idiosyncratic economic conditions remains ambiguous, and represents a substantive topic of future research. ∗Acknowledgements: First and foremost, I’d like to express my deepest gratitude to my advisor, Professor Giuseppe Moscarini, for his guidance, patience, and encouragement throughout this project and my time at Yale. Thank you to my friends for the joint caffeine excursions, late night work sessions, and consistent moral support. Last and most of all, thank you to my parents, whose unwavering love and support over the past year and throughout my life have fundamentally shaped who I am today. All errors are my own.