Miracle-dz/UniFAR-FTUs huggingface dataset:
Theory of Diffusion-Influenced Bimolecular Reactions in Solution : Effects of a Stochastic Gating Mode

We have investigated the kinetics of diffusion-influenced bimolecular reactions in which one reactant has an internal mode, called the gating mode, that activates or deactivates its reactivity intermittently. The rate law and an expression for the time-dependent rate coefficient have been obtained from the general formalism based on the hierarchy of kinetic equations involving reactant distribution functions. The analytic expression obtained for the steady-state reaction rate constant coincides with the one obtained by Szabo et al., who derived the expression by employing the conventional concentration-gradient approach. For the time-dependent reaction rate coefficient, we obtained for the first time an exact analytic expression in the Laplace domain which was then inverted numerically to give the time-domain results.
Avaliação do uso de frações indigestíveis do alimento como indicadores internos de digestibilidade em ovinos

The use of indigestible dry matter (iDM) and indigestible neutral detergent fiber (iNDF) as internal markers to estimate digestibility in lambs was evaluated. Data and samples were obtained from six independent digestion trials with lambs housed in metabolism cages given ad libitum different forage and concentrate feedstuffs. Indigestible residues were determined after 144 hours of in situ incubation of feed and faeces samples. Recovery rate varied from 64.8 to 108.5% for iDM, and from 49.5 to 67.9% for iNDF. As the marker ratio between marker concentration in the faeces and the feed was not corrected for fecal recovery, the large part of the estimated apparent organic matter digestibility (AOMD) of the experimental means were lower than the in vivo that obtained. As the marker ratio was corrected for fecal recovery of the marker, the AOMD means estimated using both markers were similar to the in vivo data in all experiments. As individual estimates, corrected for fecal recovery of the marker, were related to in vivo observations through regression analysis, the slope of the regression for iDM was not different from 1 whereas for iNDF, the slope was lower than 1. Individual AOMD values estimates using both markers, however, were poorly related to the in vivo observations (r2 varied from 0.60 to 0.63). Once corrected for fecal recovery, residual DM after 144 hours of in situ incubation is suitable for use as an internal marker to estimate mean diet digestibility consumed for a group of animals. However, individual estimates were not accurate to detect small differences in digestibility imposed by different treatments within an experiment.
Linear Time Stable PD Controllers for Physics‐based Character Animation

In physics‐based character animation, Proportional‐Derivative (PD) controllers are commonly used for tracking reference motions in motor control tasks. Stable PD (SPD) controllers significantly improve the numerical stability of traditional PD controllers and support large gains and large integration time steps during simulation [TLT11]. For an articulated rigid body system with n degrees of freedom, all SPD implementations to date, however, use an O(n3) dense matrix factorization based method. In this paper, we propose a linear time algorithm for SPD computation, which is based on Featherstone's forward dynamics formulation for articulated rigid body systems in generalized coordinates [Fea14]. We demonstrate the performance advantage of our algorithm by comparing with both the conventional dense matrix factorization based method and an alternative sparse matrix factorization based method. We show that the proposed algorithm provides superior stability when controlling complex models at large time steps. We further demonstrate that our algorithm can improve the learning speed and quality of a Deep Reinforcement Learning (DRL) system for physics‐based character animation.
Students’ Preferences Between Traditional and Video Lectures: Profiles and Study Success

Videos play a key role in modern education. Although the impact and design of video material are relatively well understood, individual differences and patterns, especially in the context of computing education, in video utilization are not. In this work, we study how students attend live lectures and watch video lectures in a data structures and algorithms course. Students had the option to attend the live lectures, watch the lectures as videos, or both. We cluster data related to live lecture attendance and video watching collected over multiple years and find three distinct profiles: 1) active students who prefer lectures, 2) active students who prefer videos and 3) those who provide only limited attention toward online or video lectures. Whereas previous research suggests that watching video lectures is related to at least equal performance when compared to attending live lectures, we found that (in our context) students attending live lectures outperformed all the other groups. This may be related to a selection bias in our setup, however. Thus, the use of video lectures as a part of versatile study material in computing education needs more attention in the future.
Will Students Write Tests Early Without Coercion?✱

Students faced with a programming task often begin their implementation without a sufficient understanding of the problem. Several prior papers suggest that formulating input–output examples before beginning one’s implementation is the key to averting problem misunderstandings, but that students are loath to actually do it. Is outright coercion instructors’ only hope to convince students to follow this methodology and hence help themselves? We conjecture that students’ reluctance may stem from the disaffordances of their programming environments. In this work, we augment the student’s programming environment to encourage examples-first development, and design a novel measure to assess students’ adherence to this methodology. We apply these measures to students using our modified environment in a semester-long course, and find high voluntary adherence, especially relative to the literature’s low expectations.
Design and Evaluation of On-the-Head Spatial Tactile Patterns

We propose around-the-head spatial vibrotactile patterns for representing different kinds of notifications. The patterns are defined in terms of stimulus location, intensity profile, rhythm, and roughness modulation. A first study evaluates recall and distinguishability of 30 patterns, as well as agreement on meaning without a predetermined context: Agreement is low, yet the recognition rate is surprisingly high. We identify which kinds of patterns users recognize well and which ones they prefer. Static stimulus location patterns have a higher recognition rate than dynamic patterns, which move across the head as they play. Participants preferred dynamic patterns for comfort. A second study shows that participants are able to distinguish substantially more around-the-head spatial patterns than smartphone-based patterns. Spatial location has the highest positive impact on accuracy among the examined features, so this parameter allows for a large number of levels.
Should Explanations of Program Code Use Audio, Text, or Both? A Replication Study

Studies in educational psychology suggest that people learn better when visual learning materials are accompanied by audio explanations rather than textual ones. Research on how this modality effect applies to computing education is scarce and inconclusive. We explore whether modality of instruction affects learning from videos that use a series of example programs to explain how variables work in Python. Learners (n=186) were crowdsourced from the internet and randomized in three groups, who received explanations as audio, text, or both, respectively. We did not find significant differences between the groups in near transfer to code-tracing tasks or perceived cognitive load. The result affirms the need to further investigate instructional modalities in programming education. There are a number of theoretical, methodological, and instructional-design factors that may explain these and earlier findings; we trace out future research that could explore those factors.
Cloth and Skin Deformation with a Triangle Mesh Based Convolutional Neural Network

We introduce a triangle mesh based convolutional neural network. The proposed network structure can be used for problems where input and/or output are defined on a manifold triangle mesh with or without boundary. We demonstrate its applications in cloth upsampling, adding back details to Principal Component Analysis (PCA) compressed cloth, regressing clothing deformation from character poses, and regressing hand skin deformation from bones' joint angles. The data used for training in this work are generated from high resolution extended position based dynamics (XPBD) physics simulations with small time steps and high iteration counts and from an offline FEM simulator, but it can come from other sources. The inference time of our prototype implementation, depending on the mesh resolution and the network size, can provide between 4 to 134 times faster than a GPU based simulator. The inference also only needs to be done for meshes currently visible by the camera.
High School Teachers’ Understanding of Code Style

The introduction of computer programming into schools has meant that many teachers are expected to become familiar with computing concepts and techniques. For senior high school programming students, one important concept is code style. Research indicates that teachers often struggle when providing feedback on code style and this means students may not be suitably prepared to study computing at tertiary level. Our goal is to understand the challenges faced by teachers in order that we might help them increase their effectiveness. In this paper, we describe a study in which we interviewed 8 teachers in New Zealand (NZ) from disparate backgrounds. We overview the main themes that emerged from the first level analysis of the data. This analysis revealed several phenomena that require a deeper analysis. We describe one of these, the tendency for teachers to focus on syllabus requirements as opposed to understanding aspects of code style at a deeper level. Our work contributes to the global knowledge base on teaching programming in high schools.
Exploring Non-Urgent Smart Home Notifications using a Smart Plant System

With the rise of the Internet of Things, home appliances become connected and they can proactively provide status information to users. Facing a steadily increasing number of notification sources, it is unclear how information from smart home devices should be provided without overloading the users’ attention. In this paper, we investigate the design of non-urgent smart home notifications using a smart plant system. Based on feedback from focus groups, we designed four notification types and compared them in an eight-week in-situ study. We show that notifications displayed on smart home devices are preferred to those received on smartphones. Event-based notifications are unobtrusive, actionable and are preferred to persistent notifications. We derive guidelines that address the need of being in control, opportune locations for notification delivery at opportune moments, notification blindness, the importance of discretizing continuous information, and combining related notifications.
Collocated Sharing of Presentations of Self in Public Settings

Various mobile technologies proofed to enhance peoples collocated social interactions. In particular, user-generated presentations of self have proven beneficial, albeit in specific social settings. This field study interviewed 30 participants for their attitudes towards personal sharing in six public settings in a Nordic metropolitan area. We asked participants to draw what they want to share on an attachable paper sticker. We observed retention towards sharing in places with a more heterogeneous audience. Predominantly people’s attitudes towards sharing depended on an individual’s current context. Our results highlight the symbolic act of sharing in public as a factor for placing personal public displays. Further, we suggest leveraging the different strategies of extroverts and introverts for collocated social interactions.
Appearance Controlled Face Texture Generation for Video Game Characters

Manually creating realistic, digital human heads is a difficult and time-consuming task for artists. While 3D scanners and photogrammetry allow for quick and automatic reconstruction of heads, finding an actor who fits specific character appearance descriptions can be difficult. Moreover, modern open-world videogames feature several thousands of characters that cannot realistically all be cast and scanned. Therefore, researchers are investigating generative models to create heads fitting a specific character appearance description. While current methods are able to generate believable head shapes quite well, generating a corresponding high-resolution and high-quality texture which respects the character’s appearance description is not possible using current state of the art methods. This work presents a method that generates synthetic face textures under the following constraints: (i) there is no reference photograph to build the texture, (ii) game artists control the generative process by providing precise appearance attributes, the face shape, and the character’s age and gender, and (iii) the texture must be of adequately high resolution and look believable when applied to the given face shape. Our method builds upon earlier deep learning approaches addressing similar problems. We propose several key additions to these methods to be able to use them in our context, specifically for artist control and small training data. In spite of training with a limited amount of training data, just over 100 samples, our model produces realistic textures which comply to a diverse range of skin, hair, lip and iris colors specified through our intuitive description format and augmentation thereof.
Western Diet: Implications for Brain Function and Behavior

The Western diet (WD) pattern characterized by high daily intake of saturated fats and refined carbohydrates often leads to obesity and overweight, and it has been linked to cognitive impairment and emotional disorders in both animal models and humans. This dietary pattern alters the composition of gut microbiota, influencing brain function by different mechanisms involving the gut–brain axis. In addition, long-term exposure to highly palatable foods typical of WD could induce addictive-like eating behaviors and hypothalamic-pituitary-adrenal (HPA) axis dysregulation associated with chronic stress, anxiety, and depression. In turn, chronic stress modulates eating behavior, and it could have detrimental effects on different brain regions such as the hippocampus, hypothalamus, amygdala, and several cortical regions. Moreover, obesity and overweight induce neuroinflammation, causing neuronal dysfunction. In this review, we summarize the current scientific evidence about the mechanisms and factors relating WD consumption with altered brain function and behavior. Possible therapeutic interventions and limitations are also discussed, aiming to tackle and prevent this current pandemic.
Tm7sf2 Disruption Alters Radial Gene Positioning in Mouse Liver Leading to Metabolic Defects and Diabetes Characteristics

Tissue-specific patterns of radial genome organization contribute to genome regulation and can be established by nuclear envelope proteins. Studies in this area often use cancer cell lines, and it is unclear how well such systems recapitulate genome organization of primary cells or animal tissues; so, we sought to investigate radial genome organization in primary liver tissue hepatocytes. Here, we have used a NET47/Tm7sf2–/– liver model to show that manipulating one of these nuclear membrane proteins is sufficient to alter tissue-specific gene positioning and expression. Dam-LaminB1 global profiling in primary liver cells shows that nearly all the genes under such positional regulation are related to/important for liver function. Interestingly, Tm7sf2 is a paralog of the HP1-binding nuclear membrane protein LBR that, like Tm7sf2, also has an enzymatic function in sterol reduction. Fmo3 gene/locus radial mislocalization could be rescued with human wild-type, but not TM7SF2 mutants lacking the sterol reductase function. One central pathway affected is the cholesterol synthesis pathway. Within this pathway, both Cyp51 and Msmo1 are under Tm7sf2 positional and expression regulation. Other consequences of the loss of Tm7sf2 included weight gain, insulin sensitivity, and reduced levels of active Akt kinase indicating additional pathways under its regulation, several of which are highlighted by mispositioning genes. This study emphasizes the importance for tissue-specific radial genome organization in tissue function and the value of studying genome organization in animal tissues and primary cells over cell lines.
RNA Sequencing Keloid Transcriptome Associates Keloids With Th2, Th1, Th17/Th22, and JAK3-Skewing

Keloids are disfiguring, fibroproliferative growths and their pathogenesis remains unclear, inhibiting therapeutic development. Available treatment options have limited efficacy and harbor safety concerns. Thus, there is a great need to clarify keloid pathomechanisms that may lead to novel treatments. In this study, we aimed to elucidate the profile of lesional and non-lesional keloid skin compared to normal skin. We performed gene (RNAseq, qRT-PCR) and protein (immunohistochemistry) expression analyses on biopsy specimens obtained from lesional and non-lesional skin of African American (AA) keloid patients compared to healthy skin from AA controls. Fold-change≥2 and false-discovery rate (FDR)<0.05 was used to define significance. We found that lesional versus normal skin showed significant up-regulation of markers of T-cell activation/migration (ICOS, CCR7), Th2- (IL-4R, CCL11, TNFSF4/OX40L), Th1- (CXCL9/CXCL10/CXCL11), Th17/Th22- (CCL20, S100As) pathways, and JAK/STAT-signaling (JAK3) (false-discovery rate [FDR]<0.05). Non-lesional skin also exhibited similar trends. We observed increased cellular infiltrates in keloid tissues, including T-cells, dendritic cells, mast cells, as well as greater IL-4rα+, CCR9+, and periostin+ immunostaining. In sum, comprehensive molecular profiling demonstrated that both lesional and non-lesional skin show significant immune alternations, and particularly Th2 and JAK3 expression. This advocates for the investigation of novel treatments targeting the Th2 axis and/or JAK/STAT-signaling in keloid patients.
Facilitating Evaluation of Hemolytic Uremic Syndrome Long-Term Health Outcomes Through Social Media Support Groups

Individual burden and cost of hemolytic uremic syndrome (HUS)—a medical condition characterized by acute kidney failure—can be substantial when accounting for long-term health outcomes (LTHOs). Because of the low incidence of HUS, evaluation of associated LTHOs is often restricted to physician and outbreak cohorts, both of which may not be representative of all HUS cases. This exploratory study recruited participants from private social media support groups for families of HUS cases to identify potential LTHOs and costs of HUS that are not currently measured. Additionally, this study sought to identify case characteristics that may confound or modify these LTHOs and costs of HUS. Respondents self-selected to complete an online cross-sectional survey on acute and chronic illness history, treatments, and public health follow-up for HUS cases. Posttraumatic stress among respondents (typically case parents) was also evaluated. Responses were received for 74 HUS cases from 71 families representing all geographic regions, and levels of urbanicity within the US self-reported symptoms were typical for HUS, while 35.1% of cases reported antibiotic treatment at any point during the acute illness. Hospital transfers were reported by 71.6% of cases introducing possible delays to care. More than 70% of cases reported experiencing at least one LTHO, with 45% of cases reporting renal sequelae. Posttraumatic stress symptoms were frequently reported by respondents indirectly affected by HUS. Potentially large economic costs that are not addressed in existing analyses were identified including both financial and more general welfare losses (lost utility). While biases in the study design limit the generalizability of results to all HUS cases, this study provides new insights into unmeasured LTHOs and costs associated with HUS. These results suggest that robustly designed cohort studies on HUS should include measures of psychosocial impacts on both the affected individual and their family members.
Alexander's Law During High-Speed, Yaw-Axis Rotation: Adaptation or Saturation?

Objective: Alexander's law (AL) states the intensity of nystagmus increases when gaze is toward the direction of the quick phase. What might be its cause? A gaze-holding neural integrator (NI) that becomes imperfect as the result of an adaptive process, or saturation in the discharge of neurons in the vestibular nuclei? Methods: We induced nystagmus in normal subjects using a rapid chair acceleration around the yaw (vertical) axis to a constant velocity of 200°/second [s] and then, 90 s later, a sudden stop to induce post-rotatory nystagmus (PRN). Subjects alternated gaze every 2 s between flashing LEDs (right/left or up/down). We calculated the change in slow-phase velocity (ΔSPV) between right and left gaze when the lateral semicircular canals (SCC) were primarily stimulated (head upright) or, with the head tilted to the side, stimulating the vertical and lateral SCC together. Results: During PRN AL occurred for horizontal eye movements with the head upright and for both horizontal and vertical components of eye movements with the head tilted. AL was apparent within just a few seconds of the chair stopping when peak SPV of PRN was reached. When slow-phase velocity of PRN faded into the range of 6–18°/s AL could no longer be demonstrated. Conclusions: Our results support the idea that AL is produced by asymmetrical responses within the vestibular nuclei impairing the NI, and not by an adaptive response that develops over time. AL was related to the predicted plane of eye rotations in the orbit based on the pattern of SCC activation.