Reviewerly/exHarmony huggingface dataset:
Parafoveal processing of lexical information during reading : from experiments to computational modeling

During sentence reading the eyes quickly jump from word to word to sample visual information with the high acuity of the fovea. Lexical properties of the currently fixated word are known to affect the duration of the fixation, reflecting an interaction of word processing with oculomotor planning. While low level properties of words in the parafovea can likewise affect the current fixation duration, results concerning the influence of lexical properties have been ambiguous (Drieghe, Rayner, & Pollatsek, 2008; Kliegl, Nuthmann, & Engbert, 2006). Experimental investigations of such lexical parafoveal-on-foveal effects using the boundary paradigm have instead shown, that lexical properties of parafoveal previews affect fixation durations on the upcoming target words (Risse & Kliegl, 2014). However, the results were potentially confounded with effects of preview validity.The notion of parafoveal processing of lexical information challenges extant models of eye movements during reading. Models containing serial word processing assumptions have trouble explaining such effects, as they usually couple successful word processing to saccade planning, resulting in skipping of the parafoveal word. Although models with parallel word processing are less restricted, in the SWIFT model (Engbert, Longtin, & Kliegl, 2002) only processing of the foveal word can directly influence the saccade latency.Here we combine the results of a boundary experiment (Chapter 2) with a predictive modeling approach using the SWIFT model, where we explore mechanisms of parafoveal inhibition in a simulation study (Chapter 4). We construct a likelihood function for the SWIFT model (Chapter 3) and utilize the experimental data in a Bayesian approach to parameter estimation (Chapter 3 & 4).The experimental results show a substantial effect of parafoveal preview frequency on fixation durations on the target word, which can be clearly distinguished from the effect of preview validity. Using the eye movement data from the participants, we demonstrate the feasibility of the Bayesian approach even for a small set of estimated parameters, by comparing summary statistics of experimental and simulated data. Finally, we can show that the SWIFT model can account for the lexical preview effects, when a mechanism for parafoveal inhibition is added. The effects of preview validity were modeled best, when processing dependent saccade cancellation was added for invalid trials. In the simulation study only the control condition of the experiment was used for parameter estimation, allowing for cross validation. Simultaneously the number of free parameters was increased. High correlations of summary statistics demonstrate the capabilities of the parameter estimation approach. Taken together, the results advocate for a better integration of experimental data into computational modeling via parameter estimation.
A.C.M.E. Multilimb System

Animating with multiples and smears is a technique of 2D animation dating roughly back to the 1940s, most notably on the Looney Tunes cartoons. We have seen an increase in the use of multiples and smear geometry as some 3D animation becomes more stylized and the computed motion blur is not enough to convey a more exaggerated motion or speed. DreamWorks first began the exploration starting with Peabody and Sherman and has since used different methods throughout the years. For The Boss Baby: Family Business, the DreamWorks A.C.M.E. Multilimb System is an end-to-end pipeline solution for achieving the traditional 2D multiples and smears that puts the control back into the hands of Animation.
Pre-Service Teachers' Readiness Levels for Mobile Learning

The purpose of this research is to determine how active the students are participating in the mobile learning process, as well as how active the distance education mobile learning and technological tools are in education due to the Covid-19 epidemic in today's world. determination. With this, the Mobile Learning Readiness Scale adapted by Şata, Çorbacı and Koyuncu (2019) was used in this study. The scale consists of three dimensions: optimism towards mobile learning, self-directed learning and self-efficacy. The participants of the study, on the other hand, consist of 25 Primary Education students and 42 Special Education students who are continuing their education life in the Northern Cyprus. It was concluded that their readiness for mobile learning was high.
PERANCANGAN DAN IMPLEMENTASI VIRTUAL PRIVATE NETWORK DENGAN MIKROTIK

Cv. Celcomindo is a company that relies on computer network technology to support office activities. Even though at the office of Cv. Celcomindo already relies on computer network technology, but the office has not yet designed a virtual private network that will be used to support the needs of the office so that the device in the office can be remotely located. The purpose of the research conducted at the office of Cv. Celcomindo to design a virtual private network in accordance with the expected needs of the office and look for problems that arise during the research process. The virtual private network design is carried out using the L2tp/IPsec protocol method, so that the vpn process that is carried out remains safe from outside attacks. The results of the research carried out in the design of a virtual private network have been successfully designed by testing VPN connections, remotely connecting mikrotik in the office area through the designed VPN network, remotely controlling the tp link wi-fi router configuration page that is used as an access point, ping testing on several devices that connected to the local office network, as well as performing remote desktop testing for file exchange.
“You guys are good at swabs!” Setting up a staff and patient coronavirus testing service using existing sexual health service infrastructure in a large regional teaching hospital

Introduction: Early in the response to the coronavirus pandemic, our large Teaching Hospital asked our Sexual Health Service (SHS) team to set up a facility to test symptomatic staff and their contacts, for the 16000+ staff in the Trust Here we describe the process and results Methods: The SHS team used existing staff, IT facilities and estates to set up a testing service within 24hrs of being approached We used our existing Inform EPR, which we altered with permission Hospital Staff, or their household (including children), who were symptomatic of covid-19 were booked electronically for a test by SHS admin team SHS nursing staff performed testing using a specially set up drive-through facility in the car park of our existing building The service ran in the afternoon/evening, allowing ongoing emergency SHS work to continue in the mornings Tests were ordered and returned electronically SHS staff used text messaging to deliver results and appropriate actions within 24hrs of swab being taken From June 2020, we began contact tracing for positive staff and their contacts, using established Partner Notification skills in our health advising team The service also took on testing of self-isolating pre-oper-ative patients Results/discussion: From 1st April to 20th July 2020 we performed 6025 tests, of which 4022 were in staff or their household contacts The overall positivity rate in staff was 9 6% (with a peak of 24% in mid April) Patient testing positivity rate was extremely low at 0 1% Where staff or their contacts were coronavirus negative and able to attend work again, we estimate that we saved the Trust around 13 500 work days, a significant consideration both financially and operationally Feedback from staff was universally positive We were able to demonstrate that SHS staff and facilities have important transferable skills/resource in response to the unprecedented challenge of Covid-19
PERANCANGAN APLIKASI OTOMATISASI PENERBITAN DAN PENDISTRIBUSIAN E-SERTIFIKAT WEBINAR

Corona pandemic force human to adapt in order to continue daily activities.One of it is adopt webinar and online meeting to substitute conventional face to face meeting which is restricted during pandemic. The adaptation of webinar open new challenge in publishing e-certificate which is create and distribute using email and file sharing service that consume a lot of computational resource. This research propose on the fly e-certificate  publishing and distributing platform. The platform succeed save computational resource by negate unneeded storage and network resource.
Croatian corpus of non-professional written language by typical speakers and speakers with language disorders RAPUT 1.0

The corpus consists of texts produced by nonprofessional typical speakers and speakers with different language disorders (developmental language disorder, dyslexia, traumatic brain injury, aphasia, other). Roughly half of the corpus consists of texts of typical speakers, and the other half of speakers with language disorders. Language samples were elicited by six groups of tasks representing different writing styles (descriptive, expository, narrative, and letter) and different levels of formality.The corpus has been manually annotated for normalized forms, lemmas, morphosyntactic information (by following the MULTEXT-East tagset), and type of error (phonological segmentation, orthography, non-standard spelling, typo, syntax, etc.). UD morphosyntactic description has been to the most part automatically generated from the MULTEXT-East morphosyntactic information.
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference

Semantic segmentation for scene understanding is nowadays widely demanded, raising significant challenges for the algorithm efficiency, especially its applications on resource-limited platforms. Current segmentation models are trained and evaluated on massive high-resolution scene images (“data-level”) and suffer from the expensive computation arising from the required multi-scale aggregation (“network level”). In both folds, the computational and energy costs in training and inference are notable due to the often desired large input resolutions and heavy computational burden of segmentation models. To this end, we propose DANCE, general automated DA ta- N etwork C o-optimization for E fficient segmentation model training and inference . Distinct from existing efficient segmentation approaches that focus merely on light-weight network design, DANCE distinguishes itself as an automated simultaneous data-network co-optimization via both input data manipulation and network architecture slimming. Specifically, DANCE integrates automated data slimming which adaptively downsamples/drops input images and controls their corresponding contribution to the training loss guided by the images’ spatial complexity. Such a downsampling operation, in addition to slimming down the cost associated with the input size directly, also shrinks the dynamic range of input object and context scales, therefore motivating us to also adaptively slim the network to match the downsampled data. Extensive experiments and ablating studies (on four SOTA segmentation models with three popular segmentation datasets under two training settings) demonstrate that DANCE can achieve “all-win” towards efficient segmentation (reduced training cost, less expensive inference, and better mean Intersection-over-Union (mIoU)). Specifically, DANCE can reduce ↓25%–↓77% energy consumption in training, ↓31%–↓56% in inference, while boosting the mIoU by ↓0.71%–↑ 13.34%.
The Inner Form between Logic and Semantics:W. von Humboldt – G. Shpet – R. Jacobson – N. Zhinkin. Zhinkin, Nikolai I., Letter to Pavel S. Popov, Publication by Boris I. Pruzhinin and Tatiana G. Shchedrina

The reason for writing this article was a letter from Nikolai Ivanovich Zhinkin to Pavel Sergeevich Popov (has been reproduced hereafter), which discusses the es­sential logical-epistemological problem of the relationship between conscious­ness and language. The authors immerse the ideas expressed by N.I. Zhinkin in the late – psychological – period of creativity, in the field of his early – philo­sophical – interests, motivated by the conceptual constructions of his teacher G.G. Shpet (first of all, by his phenomenologically oriented studies of the inner form of the word). The concept of inner form, the European sources of its origin, the trajectory of its historical movement in Russia from philosophy (G.G. Shpet) to linguistics (R.O. Yakobson) and psychology (N.I. Zhinkin) is central for the authors of the article, as well as the semantic transformations that occur with him during the transfer from the sphere of philosophy to specific scientific areas of knowledge. At the same time, the historical continuity of Russian pre-revolution­ary philosophy and scientific and humanitarian thought of the Soviet period is demonstrated. In methodological terms, the authors focus on the features of philosophical ideas’ application in their projection onto the emerging positive scientific research itself. When a positive (albeit humanitarian) science assimi­lates any approach initiated by philosophy, it accentuates aspects of its concep­tual content relevant to a given subject area under study, thereby determining its ideological and conceptual potential. Such a semantic limitation of philosophical ideas and concepts, arising in the course of their projection onto positive scien­tific research, stops their dynamics, which is inevitable retribution for their spe­cific cognitive effectiveness.
<i>μ</i>DARTS: Model Uncertainty-Aware Differentiable Architecture Search

We present a Model Uncertainty-aware Differentiable ARchiTecture Search (μDARTS) that optimizes neural networks to simultaneously achieve high accuracy and low uncertainty. We introduce concrete dropout within DARTS cells and include a Monte-Carlo regularizer within the training loss to optimize the concrete dropout probabilities. A predictive variance term is introduced in the validation loss to enable searching for architecture with minimal model uncertainty. The experiments on CIFAR10, CIFAR100, SVHN, and ImageNet verify the effectiveness of μDARTS in improving accuracy and reducing uncertainty compared to existing DARTS methods. Moreover, the final architecture obtained from μDARTS shows higher robustness to noise at the input image and model parameters compared to the architecture obtained from existing DARTS methods.
Optimized Algorithm Of Human 3D Motion Recognition Based On HOG And LBP

Recognizing the accurate position of each joint point of the human body helps the computer to understand the rich human body motion information. Recognizing the precise position of each joint point of the human body in 3D space helps the computer understand the rich human motion information. In order to avoid the defects of binocular vision combined with neural network method, we have designed an optimization algorithm for human body 3D pose recognition technology under binocular vision. The algorithm uses HOG and LBP feature operators to perform feature matching on the corresponding joint point areas of the left and right images, and seeks the optimal pixel position of the corresponding joints points. And the search window can adjust itself to the best size. This algorithm greatly reduces the randomness of neural network recognition, the generated 3D human pose is more stable, greatly reduces the problem of joint jitter offset, and the effect is more smooth and stable.
Nexus between remittance, trade openness and inequality in South Asian countries: New evidence from the nonlinear unit root, nonlinear OLS, and NARDL, and asymmetry causality test

This study’s motivation is to explore the pattern of the relationship between Remittance, Trade openness, and Inequality of selected south Asian countries for the 1976-2018 periods. Postulating their relationship, the study performed several nonlinear tests, including unit root tests, nonlinearity applying OLS and test of BDS, nonlinear autoregressive distributed lagged (NARDL), and asymmetry causality test. Study findings with nonlinear unit root tests suggested that the research variables follow the nonlinear process of becoming stationary from nonstationary. The results of Nonlinear OLS and test of BDS confirm the existence of nonlinearity among research variables. The result of the Wald test in NARLD confirms the availability of asymmetric links among variables. Likewise, considering the results of NARDL, it is apparent that there a long-run asymmetric relationship between remittance, trade openness, and inequality. Findings suggest that both positive and negative shocks in remittance and tread openness are critical to either instituting or vexing the present state of the economy in the long term. The results  of the directional relationship with asymmetry causality test, we observed that the feedback hypothesis hold in case of positive shocks in remittance and trade openness towards inequality.
Additional file 1 of A framework for handling missing accelerometer outcome data in trials

The STATA DO-File (.do) provides example code for using multiple imputation with interval regression.
Тип информационного метаболизма интуитивно логический экстраверт

The TIM (type of informational metabolism) of the psyche of ILE (intuitive logical extrovert, IL) is considered on the examples of people of this TIM realized in different professions.
Προστασία και ανίχνευση απο επιθέσεις τύπου SQL injection

Attempting to inject code in order to gain illegal access is one of the hottest issues in cybersecurityand especially in the topic of hacking. In this thesis, some basic definitions will be mentioned, sothat a reader without specialized knowledge can keep up reading and make sense. Extensiveresearch will be done on the part of SQL Injection such as, in which categories it is divided or howan attack like this can occur. Later on, there will be suggested a lot of ways to protect a databaseduring its development as well as after being victim from such an attack. Then follows thedetection, where it will be analyzed how we can possibly detect if a database or a website isvulnerable and finally on the last chapter the detection of SQL Injection is approached through adifferent perspective where a tool written in Python will be developed and will try to detect if adatabase is vulnerable to the specific category of SQL Injection, error-based meaning that it isbased on the errors that a database can return as a result to the user.
IoT: The Technological Fad of the Digital Age

The Internet has revolutionized everything around us and reinvented the digital age. It has unlocked the world of digital currency and radically transformed things into an all-embracing digital lifestyle. The Internet of Things (IoT) is an emerging technical fad, and the hype of IoT among consumers is mainly driven by the convenience of automated tasks, the efficiencies of plausible solutions, improved quality of living, affordability, and improved cost savings. The perceived benefits of IoT-enabled products automated through smart sensors and intelligent software can anticipate consumers’ needs, respond diligently, and match their preferences. In the age of IoT, its connectivity has also digitally transformed and reshaped the business world. A large contingent of digital incumbents across various industries have transformed their business models while embracing IoT as the game changer to facilitate business process automation. Despite its immense benefits, the influence of the Internet is a threat vector of choice among hackers and cyber fraudsters. Adversely, the near-ubiquity IoT, namely, enterprise IoT, which forms part of a botnet, is susceptible to being hacked and subject to computer-related crimes. At any cost, the parameters of IoT are conceivably immense, and their uptake is gaining importance. Accordingly, the realities of IoT and its raised security flag over its potential impediment are among the issues discussed in this chapter.
Blockchain and financial law: FinTech and crypto-assets

The core issues that Blockchain and distributed ledger technologies raise, in the context of the regulation of finance, lie in the impact of decentralization. Being it a bank, a provider of markets infrastructures services, an investment fund, a trading venue, an entity that collects resources from the public etc., financial markets legislation always targets an entity that provides services or carries out certain activities. In the context of Blockchain, decentralization challenges this approach and shows its shortcomings, making it difficult to understand which rules, if any, should apply; how they should apply and how those rules should be enforced. In this chapter, some implications of crypto-assets will be discussed with particular regard to the current EU financial markets regulation.
Technological Prisms: A Fuzzy-Set Analysis of Cognition, Robo-Advice, and Adaptation

Directions of attention, particularly when directed toward new technology, is a critical component of incumbents adapting to technological change; however, new technology is often ambiguous at its core, skewing the interpretations associated with attending to technological change. As a result, organizations may attend to emerging technologies, but attention may differ between organization depending on how a single technological change is interpreted. Technological changes, therefore, are analogous to prisms that emit different signals with organizations recognizing few, but not all signals. Unique interpretations by organizations subsequently impact the adoption of technology and the degree to which organizations sufficiently adapt to technological change. I study the complex combinations of attentional direction, interpretations, and technological adoption by combining the computational method of topic modeling with a fuzzy-set Qualitative Comparison Analysis to uncover unique cognitive and decision-making combinations that lead to organizational adaptation. In the context of the Canadian Wealth Management industry, I outline unique cognitive interpretations of robo-advice, a technology that automates financial advice, among 15 incumbent organizations in combination with technological adoption decisions and find 3 unique paths to adaptation. The results highlight that not all directions are of attention toward emerging technologies are fruitful for adaptation and that that organizations hold the capacity to creatively adapt in the absence of both attention and technological adoption.
Z; Syntax-Free Developments

We present the Z-property and instantiate it to various rewrite systems: associativity, positive braids, self-distributivity, the lambda-calculus, lambda-calculi with explicit substitutions, orthogonal TRSs, .... The Z-property is proven equivalent to Takahashi’s angle property by means of a syntax-free notion of development. We show that several classical consequences of having developments such as confluence, normalisation, and recurrence, can be regained in a syntax-free way, and investigate how the notion corresponds to the classical syntactic notion of development in term rewriting.
Cognitive Fit in Recruitment and Group Dynamics

This study presents a cognitive perspective on the recruitment and selection of new employees in small teams. In doing so the article builds on a distributed cognitive theoretical framework and is inspired by current Person-environment fit (P-E fit) measurements. At the same time, the work presented in this article is an attempt to move forward traditional P-E fit measures by emphasizing the dynamic nature of a constantly evolving team environment. To explore the utility of such a perspective and to investigate its feasibility, the article presents an Agent-Based computational simulation Model (ABM). The results indicate that such an approach may be advisable for recruitment, particularly when dealing with a highly docile team environment and highly docile potential candidates.