Miracle-dz/UniFAR-FTUs huggingface dataset:
Fostering Free/Libre Open Source Software community formation: guidelines for communities to support newcomers' onboarding

Community-based Free/Libre Open Source Software (FLOSS) projects are usually self-organized and dynamic, receiving contributions from distributed volunteers. These communities’ survival, long-term success, and continuity demand a constant influx of newcomers. However, newcomers face many barriers when making their first contribution to an OSS project, leading in many cases to dropouts. Therefore, a major challenge for OSS projects is to provide ways to support newcomers during their first contribution. In this paper, our goal was to provide a set of guidelines to communities that want to support and foster the participation of newcomers. The guidelines were proposed based on the analysis of data collected from: semi-structured interviews with 36 developers from 14 different projects; 24 answers to an open questionnaire conducted with OSS developers; feedback from 9 graduate and undergraduate students after they tried to join OSS projects; and 20 primary studies gathered via a systematic literature review.
SELF-HEALING AND STRENGTH RECOVERY EVALUATION OF SUPER ABSORBENT POLYMERS CONCRETE MIXES UNDER CONTROLLED DAMAGE

The durability of concrete is invariably a challenge for engineers and material technologists due to the frequent maintenance and service required on concrete structures and infrastructures hence resulting in economical deficiency. Concrete healing innovations have been developed over the past decade; these various technologies for concrete self-healing include biotechnological, polymeric and chemical compounds. Super absorbent polymers are considered as a progressive method to deliver the water content into the cementitious matrix and stimulate hydration and in situ carbonation of cementitious materials. This study investigates the effect of super absorbent polymer addition into the cementitious materials and the efficiency of concrete crack healing and recovery of mechanical properties from cracks. Researchers have used super absorbent polymers in various methods to propose crack healing and partial recovery of mechanical properties in cementitious materials. Kim and Schlangen [9] deployed SAPs with PVA-based ECC in the mortar mixture for crack width reduction and healing; SAPs content of 0.5% and 1.0% to the weight of cement were considered. After curing for 28 days, the four-point bending test was adopted to develop cracks and an average of 17.3 µm and 15.67 µm in crack width was obtained with respect to the SAP content (0.5 and 1%, respectively) compared to 22.3 µm for the control mix. After additional 28 days, samples were tested to failure by using a four-point bending test and it was concluded that the healing samples developed additional flexural strength and less deflection compared to the control samples. Sneok et al. [8] used SAP (cross-linked Potassium salt polyacrylate, particle size of 476.6 ± 52.9 µm) of 1%, 2% and 4% with respect to the cement weight and 2% by volume of PVA for all mixes. After 28 days, cracks were again developed by using the four-point bending method with crack width of 100-150 µm. Samples were cured under wet and dry cycles for additional 28 days and a four-point bending test to failure was finally conducted. It was observed that cracks’ width up to 138 µm was healed for all SAP contents with 100% healing for SAP content of 2% and 4%; a strength reduction of 50% for 4% SAP and strength increment of 20% for 2% SAP was also observed. Gruraert et al. [10] added the in-house fabricated SAP with particle size less than 400 µm and 0.5% and 1% content by weight of cement, and achieved an increment of flexural strength of 8% and 6%, respectively; a general reduction of compressive strength for all SAP mixes was also noticed. The present study investigates the effect of Super Absorbent Polymers in the concrete mix the superplastizer, micro-fibres
Hidden Vector 'Coordinates' in Particle Physics

Heretofore unrecognized (i.e., "hidden") Lorentz-invariant vector observables in the fermion sector (i.e., flavor-defining fermion "coordinates") are shown to indirectly explain most, if not all, of the so-called "accidental" (internal) symmetries associated with fundamental fermions (quarks and leptons), by explaining quark and lepton flavors, flavor doublets and families. Moreover, these new fermion coordinates lead to quantitative constraints on neutrino mixtures that are found to be in good agreement with current experimental observations.
Offloading and Resource Allocation in Mobile Edge Computing with Multiple Computing Access Points

Offloading and Resource Allocation in Mobile Edge Computing with Multiple Computing Access Points Eric Jiang Master of Applied Science Graduate Department of Electrical and Computer Engineering University of Toronto 2019 In this thesis, we analyze three-tier mobile offloading networks consisting of multiple mobile devices, each with a single task to be processed, multiple computing access points for possible task offloading, and a remote cloud server as an additional possible offloading site. Our objective is to produce offloading and resource allocation decisions that minimize the system cost, while achieving stability under the assumption of selfish users. We first consider a centralized optimization approach under a strictly defined objective function, using semidefinite relaxation to develop a heuristic solution that performs nearly optimally under simulation. We then use that solution as an initial starting point to computing the Nash equilibrium, exploiting the potential game property of that particular system. We then develop a solution method to compute the optimal correlated equilibrium, which is applicable under a wider range of system models and also meets the necessary stability requirements while minimizing the system cost.
Matched function of the neuropil processing optic flow in flies and crabs: the lobula plate mediates optomotor responses in Neohelice granulata

When an animal rotates (whether it is an arthropod, a fish, a bird or a human) a drift of the visual panorama occurs over its retina, termed optic flow. The image is stabilized by compensatory behaviours (driven by the movement of the eyes, head or the whole body depending on the animal) collectively termed optomotor responses. The dipteran lobula plate has been consistently linked with optic flow processing and the control of optomotor responses. Crabs have a neuropil similarly located and interconnected in the optic lobes, therefore referred to as a lobula plate too. Here we show that the crabs' lobula plate is required for normal optomotor responses since the response was lost or severely impaired in animals whose lobula plate had been lesioned. The effect was behaviour-specific, since avoidance responses to approaching visual stimuli were not affected. Crabs require simpler optic flow processing than flies (because they move slower and in two-dimensional instead of three-dimensional space), consequently their lobula plates are relatively smaller. Nonetheless, they perform the same essential role in the visual control of behaviour. Our findings add a fundamental piece to the current debate on the evolutionary relationship between the lobula plates of insects and crustaceans.
Extreme natural size variation in both sexes of a sexually cannibalistic mantidfly

In sexually cannibalistic animals, the relative sizes of potential mates often predict the outcome of aggressive encounters. Mantidflies are spider egg predators as larvae and generalist predators as adults. Unlike most cannibalistic species, there is considerable individual variation in body size in both sexes. Using preserved collections of Dicromantispa sayi, we focused on three body size metrics that we found to be positively correlated and accurately measured across researchers. We found extreme size variation in both sexes: the largest 10% of females were 1.72× larger than the smallest 10%, and the largest 10% of males were 1.65× larger than the smallest 10%. On average, females were 7.94% larger than males. In exploring possible causes of this variation, we uncovered differences among populations. To explore the effect of spider egg sac size on adult mantidfly size, we reared mantidfly larvae on egg sacs from two jumping spider species with small or large egg sacs. Mantidfly larvae reared on small egg sacs were smaller than those reared on large egg sacs. This study provides the groundwork to design ecologically relevant experiments exploring the causes and consequences of extreme size variation in an understudied system with intriguing natural history.
Ignorance is not bliss: evolutionary naiveté in an endangered desert fish and implications for conservation

Predator naiveté has been invoked to explain the impacts of non-native predators on isolated populations that evolved with limited predation. Such impacts have been repeatedly observed for the endangered Pahrump poolfish, Empetrichthys latos, a desert fish species that evolved in isolation since the end of the Pleistocene. We tested Pahrump poolfish anti-predator responses to conspecific chemical alarm cues released from damaged epidermal tissue in terms of fish activity and water column position. Pahrump poolfish behavioural responses to conspecific alarm cues did not differ from responses to a dechlorinated tap water control. As a positive control, the well-studied fathead minnow, Pimephales promelas, showed significant alarm cue responses in terms of reduced activity and lowered water column position. The density of epidermal club cells, the presumptive source of alarm cues, was significantly lower in Pahrump poolfish relative to fathead minnows. Therefore, anti-predator competence mediated by conspecific alarm cues does not seem to be a component of the ecology of Pahrump poolfish. These findings provide a proximate mechanism for the vulnerability of Pahrump poolfish to non-native predators, with implications for the conservation and management of insular species.
Reflections and focusing of inertial waves in a tilted librating cube

Abstract A fluid-filled cube rotating about an axis passing through the midpoints of opposite edges is subjected to small librations (i.e. modulation of the mean rotation). Low viscosity regimes, with Ekman number as small as $10^{-8}$ and equally small relative forcing amplitude, are explored numerically. The full inertial range of forcing frequencies, from 0 to twice the mean rotation rate are considered. The response flows are dominated by inertial wavebeams emitted from edges and/or vertices, depending on the forcing frequency. How these reflect on the cube's walls and focus onto edges and vertices lead to intricate patterns. Most of the results can be reconciled using linear inviscid ray-tracing theory with careful attention to wavebeam emissions and reflections. However, even at the low Ekman number and relative forcing amplitude considered, other effects are discernible which are not captured by ray tracing. These include a symmetry breaking due to viscous effects and a progressive wave, retrograde to the mean rotation and localized in the boundary layers of the cube, due to nonlinear effects and the librational forcing.
SUBGROUP 4 - SYSTEMATIC REVIEW 7 Prevalence of lower airway dysfunction in athletes: a systematic review and meta-analysis by a sub- 3 group of the IOC consensus group on “acute respiratory illness in the athlete”

Objective: To report the prevalence of lower airway dysfunction in athletes and highlight risk factors 34 and susceptible groups. Design: Systematic review and meta-analysis Data sources: PubMed, EBSCO 35 Host and Web of Science (1 st January 1990-31 July 2020). Eligibility criteria: Original full-text studies, 36 including male or female athletes/physically active individuals/military personnel (aged 15-65 years) 37 who had a prior asthma diagnosis and/or underwent screening for lower airway dysfunction via self- 38 report (i.e., patient recall or questionnaires) or objective testing (i.e., direct or indirect bronchial 39 provocation challenge). Results: In total, 1284 studies were identified. Of these, sixty-four studies (n = 40 37,643 athletes) from over 21 countries (81.3% European and North America) were included. The 41 prevalence of lower airway dysfunction was 21.8% (95% CI: 18.8-25.0%) and has remained stable over 42 the past 30-years. The highest prevalence was observed in elite endurance athletes 25.1% (CI: 20.0- 43 30.5%) (Q = 293, I 2 = 91%), those participating in aquatic (39.9%) (CI: 23.4-57.1) and winter-based 44 sports (29.5%) (CI: 22.5-36.8%). In studies that employed objective testing, the highest prevalence was 45 observed in studies utilising direct bronchial provocation (32.8%) (CI: 19.3-47.2%). A high degree of 46 heterogeneity was observed between studies (I 2 = 98%). Conclusion: Lower airway dysfunction affects 47 approximately one in five athletes, with the highest prevalence observed in those participating in elite 48 endurance, aquatic and winter-based sporting disciplines. Further longitudinal, multicentre studies 49 addressing causality (i.e., training status / dose-response relationship) and evaluating preventative 50 strategies to mitigate against the development of lower airway dysfunction remains an important 51 priority for future research.
Growth of a fluid-infused patch from droplet drainage into a thin porous layer

Abstract Growth of a fluid-infused patch on a thin porous layer, e.g. on a piece of paper or cloth, is related to the transmission of virus particles through exhaled droplets and aerosols. We present a theoretical model to describe how a wet patch develops gradually through imbibition, once a sessile droplet attaches at a permeable surface and drains gradually into a thin porous layer. Two limiting cases are considered based on different assumptions on the motion of the contact line during the coupled process of drop drainage and patch growth: (i) the apparent contact angle remains unchanged, so the radius of a sessile droplet decreases with time; and (ii) the location of the contact line remains pinned, so the contact angle decreases as time progresses. The model leads to evolution pathways for both the droplet and the fluid film within the porous layer, without introducing arbitrary fitting parameters. Potential implications of the model and its solutions are also discussed briefly in the context of the outspread of COVID-19, employing physical parameters for exhaled droplets, paper and cloth.
New model 6G LTE Systems M2M Sushisen Algorithms

: Unique With the development of machine to machine (M2M) correspondence, transmitting information from various heterogeneous gadgets will make movement and corrupt the nature of administration (QoS)in the not so distant future . Existing cell systems give an extensive variety of scope; in any case, gauges foresee up to 50 billion M2M interconnected gadgets by 2020. This is required to make conditions for over-burden in the RAN (Radio Access System) and Center System in 6G LTE systems. There are many examinations that look at different attributes of M2M specialized gadgets including securing the physical gadgets, validation techniques, clog controls, security insurance and numerous others. Be that as it may, blockage will be a persevering issue with the expanded gadgets and is the concentration of this paper. There are specialists on the techniques to control blockage, in any case, this paper is thinking about expanding accessibility through lessening all out bytes transmitted and hence staying away from or diminishing over-burden and clog in LTE arrange.
GraphPlanner: Floorplanning with Graph Neural Network

Chip floorplanning has long been a critical task with high computation complexity in the physical implementation of VLSI chips. Its key objective is to determine the initial locations of large chip modules with minimized wirelength while adhering to the density constraint, which in essence is a process of constructing an optimized mapping from circuit connectivity to physical locations. Proven to be an NP-hard problem, chip floorplanning is difficult to be solved efficiently using algorithmic approaches. This article presents GraphPlanner, a variational graph-convolutional-network-based deep learning technique for chip floorplanning. GraphPlanner is able to learn an optimized and generalized mapping between circuit connectivity and physical wirelength and produce a chip floorplan using efficient model inference. GraphPlanner is further equipped with an efficient clustering method, a unification of hyperedge coarsening with graph spectral clustering, to partition a large-scale netlist into high-quality clusters with minimized inter-cluster weighted connectivity. GraphPlanner has been integrated with two state-of-the-art mixed-size placers. Experimental studies using both academic benchmarks and industrial designs demonstrate that compared to state-of-the-art mixed-size placers alone, GraphPlanner improves placement runtime by 25% with 4% wirelength reduction on average.
Low-Power Feature-Attention Chinese Keyword Spotting Framework with Distillation Learning

In this paper, we propose a novel Low-Power Feature-Attention Chinese Keyword Spotting Framework based on a depthwise separable convolution neural network (DSCNN) with distillation learning to recognize speech signals of Chinese wake-up words. The framework consists of a low-power feature-attention acoustic model and its learning methods. Different from the existing model, the proposed acoustic model based on connectionist temporal classification (CTC) focuses on the reduction of power consumption by reducing model network parameters and multiply-accumulate (MAC) operations through our designed feature-attention network and DSCNN. In particular, the feature-attention network is specially designed to extract effective syllable features from a large number of MFCC features. This could refine MFCC features by selectively focusing on important speech signal features and removing invalid speech signal features to reduce the number of speech signal features, which helps to significantly reduce the parameters and MAC operations of the whole acoustic model. Moreover, DSCNN with fewer parameters and MAC operations compared with traditional convolution neural networks is adopted to extract effective high-dimensional features from syllable features. Furthermore, we apply a distillation learning algorithm to efficiently train the proposed low-power acoustic model by utilizing the knowledge of the trained large acoustic model. Experimental results thoroughly verify the effectiveness of our model and show that the proposed acoustic model still has better accuracy than other acoustic models with the lowest power consumption and smallest latency measured by NVIDIA JETSON TX2. It has only 14.524KB parameters and consumes only 0.141J energy per query and 17.9ms latency on the platform, which is hardware-friendly.
MAISoN’22: 8th International Workshop on Mining Actionable Insights from Social Networks Special Edition on Mental Health and Social Media

The eighth edition of the workshop on Mining Actionable Insights from Social Networks (MAISoN 2022) took place virtually on April 26th, 2022, co-located with the ACM Web Conference 2022 (WWW 2022). This year, we organized a special edition with focus on mental health and social media. The aim of this edition was to bring together researchers from different disciplines to discuss research that goes beyond descriptive analysis of social media data and instead investigate different techniques that use social media data for building diagnostic, predictive and prescriptive analysis models for mental health applications. This topic attracted a lot of interest from the community especially because of all the considerations surrounding the impact of social media during the COVID-19 pandemic which has impacted on people’s mental health issues.
Linking Audience Physiology to Choreography

The use of wearable sensor technology opens up exciting avenues for both art and HCI research, providing new ways to explore the invisible link between audience and performer. To be effective, such work requires close collaboration between performers and researchers. In this article, we report on the co-design process and research insights from our work integrating physiological sensing and live performance. We explore the connection between the audience’s physiological data and their experience during the performance, analyzing a multi-modal dataset collected from 98 audience members. We identify notable moments based on HRV and EDA, and show how the audience’s physiological responses can be linked to the choreography. The longitudinal changes in HRV features suggest a strong connection to the choreographer’s intended narrative arc, while EDA features appear to correspond with short-term audience responses to dramatic moments. We discuss the physiological phenomena and implications for designing feedback systems and interdisciplinary collaborations.
Adaptively Offloading the Software for Mobile Edge Computing

In mobile edge computing (MEC), computation offloading is a promising way to support those resource-constrained mobile devices, since it moves some time-consuming computation activities to nearby edge servers. Owing to the geographical distribution of edge servers and mobility of mobile devices, the runtime environment of MEC is highly complex and dynamic, so it is challenging to efficiently support computation offloading in MEC. In the face of a highly complex and dynamic runtime environment, an “adaptive” model has become the inevitable demand for computation offloading in MEC, in which software perceives the environment, changes behavior and improves performance. However, it involves two main challenges: (1) Adaptability: The software often faces changes of runtime environment in MEC, so that the adaptation on offloading is needed. However, due to the inherent architecture of software, it is hard to utilize the dispersed computing resources and change the offloading scheme. (2) Effectiveness: When the environment changes, it needs to calculate which parts are worth offloading, and the reduced execution time must be greater than the network delay caused by computation offloading. In addition, the decision-making of offloading is expected to be made at runtime. This report introduces our research on adaptively offloading the software for MEC. First, the code of software can be automatically refactored to implement a special program structure supporting dynamic offloading in MEC [2, 3]. Second, the execution costs of offloading schemes can be accurately estimated without runtime execution [1, 3]. Third, new offloading strategies are proposed to reduce decision time to an acceptable level [4].
USE-Structure of the Gene for Uteroferrin1

The published structure of the gene for uteroferrin differs from that of the human and mouse tartrate-resis-tant acid phosphatase (TRAP) genes. Polymerase chain reaction using genomic DNA as template and primers designed from exon 2 of the porcine uteroferrin gene amplified a product containing two previously undescribed introns. Because of these discrepancies, we cloned an EcoRl fragment from a porcine genomic BAC library containing the uteroferrin gene, and the region containing the uteroferrin gene was completely sequenced. The uteroferrin gene spanned 2.5 kb and contained five exons, which is similar to the structure previously reported for human and mouse TRAP genes but different from the published structure of the uteroferrin gene. Southern blotting of porcine genomic DNA digested with a variety of enzymes was consistent with the sequence that we obtained. The most likely explanation for the differing results is that the previously reported structure for the uteroferrin gene was the result of artifaçtual elimination of introns 2 and 3 by bacteria and artifactual recombination of the region upstream of the transcription start site of this gene.