Miracle-dz/UniFAR-FTUs huggingface dataset:
Weirding Haptics: In-Situ Prototyping of Vibrotactile Feedback in Virtual Reality through Vocalization

Effective haptic feedback in virtual reality (VR) is an essential element for creating convincing immersive experiences. To design such feedback, state-of-the-art VR setups provide APIs for programmatically generating controller vibration patterns. While tools for designing vibrotactile feedback keep evolving, they often require expert knowledge and rarely support direct manipulation methods for mapping feedback to user interactions within the VR environment. To address these challenges, we contribute a novel concept called Weirding Haptics, that supports fast-prototyping by leveraging the user’s voice to design such feedback while manipulating virtual objects in-situ. Through a pilot study (N = 9) focusing on how tactile experiences are vocalized during object manipulation, we identify spatio-temporal mappings and supporting features needed to produce intended vocalizations. To study our concept, we built a VR design tool informed by the results of the pilot study. This tool enables users to design tactile experiences using their voice while manipulating objects, provides a set of modifiers for fine-tuning the created experiences in VR, and allows to rapidly compare various experiences by feeling them. Results from a validation study (N = 8) show that novice hapticians can vocalize experiences and refine their designs with the fine-tuning modifiers to match their intentions. We conclude our work by discussing uncovered design implications for direct manipulation and vocalization of vibrotactile feedback in immersive virtual environments.
AirConstellations: In-Air Device Formations for Cross-Device Interaction via Multiple Spatially-Aware Armatures

AirConstellations supports a unique semi-fixed style of cross-device interactions via multiple self-spatially-aware armatures to which users can easily attach (or detach) tablets and other devices. In particular, AirConstellations affords highly flexible and dynamic device formations where the users can bring multiple devices together in-air — with 2–5 armatures poseable in 7DoF within the same workspace — to suit the demands of their current task, social situation, app scenario, or mobility needs. This affords an interaction metaphor where relative orientation, proximity, attaching (or detaching) devices, and continuous movement into and out of ad-hoc ensembles can drive context-sensitive interactions. Yet all devices remain self-stable in useful configurations even when released in mid-air. We explore flexible physical arrangement, feedforward of transition options, and layering of devices in-air across a variety of multi-device app scenarios. These include video conferencing with flexible arrangement of the person-space of multiple remote participants around a shared task-space, layered and tiled device formations with overview+detail and shared-to-personal transitions, and flexible composition of UI panels and tool palettes across devices for productivity applications. A preliminary interview study highlights user reactions to AirConstellations, such as for minimally disruptive device formations, easier physical transitions, and balancing ”seeing and being seen” in remote work.
Students’ Perceptions of Soft Skills: A Case Study at a Vocational Institution

In today's highly global market, student soft skill acquisition is becoming increasingly important. Most employers now tend to employ graduates who have both hard and soft skills. Some firms are also stressing soft skills over hard skills in some situations. Most subjects, by definition, are soft skills-based for non-technical students. However, the situation could be different for technical students. The subjects covered in their courses are primarily concerned with hard skills. As a result, students are less conscious of the value of soft skills. The context of this study is a vocational institution which provides technical degrees but still gives priority for soft skills training as two courses of soft skills are integrated into the curriculum. The participants are 150 students who have completed two soft skills courses and are working either part time or full time jobs. This study aims to investigate students’ perceptions of three categories of soft skills namely critical thinking skills, problem solving and information management skills. Quantitative data were collected from a questionnaire designed in Google form with Five-point Likert scale, followed by two open-ended questions to explore participants’ evaluation and recommendations of the soft skills training program. The results reveal that almost half of the respondents are not confident about their soft skills. In addition, there are issues concerning the soft skills training programs at the study context.
E-Learning Benchmarking in Higher Education: Methodology Literature Review

Rapid advancements in technology and the Internet have encouraged the use of e-learning practices in many countries for training professionals in higher education. E-learning systems provide a link between instructional content and other learning activities offering digital tools and better services to facilitate learning. Within this context, e-learning quality assurance has become extremely vital for higher education institutions (HEIs) in terms of student retention and satisfaction. Based on twenty-two recent studies, this paper reviews, analyzes and synthesizes the existing literature with the aim to improve e-learning quality and identify the standards, criteria and benchmarks for e-learning systems and their evaluation. Results show that the studies were distinct majorly in terms of the research methods used for e-learning benchmarking and e-learning evaluation. Eight out of twenty-two studies focused on comprehensive framework and benchmarking indicators, while four studies provided theoretical and conceptual analysis. It was also found that three studies introduced the results of benchmarking e-learning case studies and studied conceptual models for evaluating e-learning and two studies presented evaluation criteria and the factors for e-learning evaluation. The authors provided a comparison of methodological approaches of these studies and also explored how benchmarking e-learning can be implemented for quality assurance in theory and practice.
Tilt-Explore: Making Tilt Gestures Usable for Low-Vision Smartphone Users

People with low vision interact with smartphones using assistive technologies like screen magnifiers, which provide built-in touch gestures to pan and zoom onscreen content. These gestures are often cumbersome and require bimanual interaction. Of particular interest is panning gestures, which are issued frequently, which involve 2- or 3-finger dragging. This paper aims to utilize tilt-based interaction as a single-handed alternative to built-in panning gestures. To that end, we first identified our design space from the literature and conducted an exploratory user study with 12 low-vision participants to understand key challenges. Among many findings, the study revealed that built-in panning gestures are error-prone, and most tilt-based interaction techniques are designed for sighted users, which low vision users struggle to use as-is. We addressed these challenges by adapting low-vision users’ interaction behavior and proposed Tilt-Explore, a new screen magnifier mode that enables tilt-to-pan. A second study with 16 low-vision participants revealed that, compared to built-in gestures, the participants were significantly less error-prone; and for lower magnification scale (e.g., <4x), they were significantly more efficient with Tilt-Explore. These findings indicate Tilt-Explore is a promising alternative to built-in panning gestures.
MoiréBoard: A Stable, Accurate and Low-cost Camera Tracking Method

Camera tracking is an essential building block in a myriad of HCI applications. For example, commercial VR devices are equipped with dedicated hardware, such as laser-emitting beacon stations, to enable accurate tracking of VR headsets. However, this hardware remains costly. On the other hand, low-cost solutions such as IMU sensors and visual markers exist, but they suffer from large tracking errors. In this work, we bring high accuracy and low cost together to present MoiréBoard, a new 3-DOF camera position tracking method that leverages a seemingly irrelevant visual phenomenon, the moiré effect. Based on a systematic analysis of the moiré effect under camera projection, MoiréBoard requires no power nor camera calibration. It can be easily made at a low cost (e.g., through 3D printing), ready to use with any stock mobile devices with a camera. Its tracking algorithm is computationally efficient, able to run at a high frame rate. Although it is simple to implement, it tracks devices at high accuracy, comparable to the state-of-the-art commercial VR tracking systems.
Innovative approach in Legionella water treatment with photodynamic cationic amphiphilic porphyrin

Legionella is an opportunistic premise plumbing pathogen that can be present in municipal and other water supplies. Building water systems may provide conditions (such as low flow, water hardness, low disinfectant residual levels and optimal temperature) that accelerate Legionella growth to levels that may result in an increased risk to public health. The standard disinfection of water systems (periodic overheating of water and chlorination) in the interest of prevention of Legionnaires' disease have often proved to be inefficient. It is therefore necessary to develop new approaches for removing Legionella from water systems. One of the new methods is antimicrobial photodynamic therapy (aPDT), which includes the combined activity of a photosensitizer (PS), molecular oxygen and visible light of appropriate wavelength to create singlet oxygen (1O2) and other oxygen reactive species (ROS) leading to the oxidation of numerous cellular components and cell death. In this study, a newly synthesized cationic, amphiphilic porphyrin TMPyP3-C17H35, was tested against Legionella in tap water. The minimal effective concentration (MEC) of PS photoinactivation test and PS uptake assay in sterile tap water were explored to determine the anti-Legionella activity. The complete inactivation of Legionella in sterile tap water was achieved with 0.024 μM of the PS. Also, the tested PS was found to be very effective in reducing Legionella growth in the sterile tap water and photoinactivation was dose-dependent. The tested PS binds well to the bacterial cell, after only 10 minutes of incubation in the dark. In conclusion, these studies indicate that TMPyP3-C17H35 is highly efficient in aPDT which leads to reducing Legionella growth in sterile tap water, and these results suggest that cationic amphiphilic photosensitizers may have a broader application in the photoinactivation of bacterial cells implicated in water disinfection.
Capturing Tactile Properties of Real Surfaces for Haptic Reproduction

Tactile feedback of an object’s surface enables us to discern its material properties and affordances. This understanding is used in digital fabrication processes by creating objects with high-resolution surface variations to influence a user’s tactile perception. As the design of such surface haptics commonly relies on knowledge from real-life experiences, it is unclear how to adapt this information for digital design methods. In this work, we investigate replicating the haptics of real materials. Using an existing process for capturing an object’s microgeometry, we digitize and reproduce the stable surface information of a set of 15 fabric samples. In a psychophysical experiment, we evaluate the tactile qualities of our set of original samples and their replicas. From our results, we see that direct reproduction of surface variations is able to influence different psychophysical dimensions of the tactile perception of surface textures. While the fabrication process did not preserve all properties, our approach underlines that replication of surface microgeometries benefits fabrication methods in terms of haptic perception by covering a large range of tactile variations. Moreover, by changing the surface structure of a single fabricated material, its material perception can be influenced. We conclude by proposing strategies for capturing and reproducing digitized textures to better resemble the perceived haptics of the originals.
False Positives vs. False Negatives: The Effects of Recovery Time and Cognitive Costs on Input Error Preference

Existing approaches to trading off false positive versus false negative errors in input recognition are based on imprecise ideas of how these errors affect user experience that are unlikely to hold for all situations. To inform dynamic approaches to setting such a tradeoff, two user studies were conducted on how relative preference for false positive versus false negative errors is influenced by differences in the temporal cost of error recovery, and high-level task factors (time pressure, multi-tasking). Participants completed a tile selection task in which false positive and false negative errors were injected at a fixed rate, and the temporal cost to recover from each of the two types of error was varied, and then indicated a preference for one error type or the other, and a frustration rating for the task. Responses indicate that the temporal costs of error recovery can drive both frustration and relative error type preference, and that participants exhibit a bias against false positive errors, equivalent to ∼1.5 seconds or more of added temporal recovery time. Several explanations for this bias were revealed, including that false positive errors impose a greater attentional demand on the user, and that recovering from false positive errors imposes a task switching cost.
Covert valuation for information sampling and choice

We use our eyes to assess the value of objects around us and carefully fixate options that we are about to choose. Neurons in the prefrontal cortex reliably encode the value of fixated options, which is essential for decision making. Yet as a decision unfolds, it remains unclear how prefrontal regions determine which option should be fixated next. Here we show that anterior cingulate cortex (ACC) encodes the value of options in the periphery to guide subsequent fixations during economic choice. In an economic decision-making task involving four simultaneously presented cues, we found rhesus macaques evaluated cues using their peripheral vision. This served two distinct purposes: subjects were more likely to fixate valuable peripheral cues, and more likely to choose valuable options whose cues were never even fixated. ACC, orbitofrontal cortex, dorsolateral prefrontal cortex, and ventromedial prefrontal cortex neurons all encoded cue value post-fixation. ACC was unique, however, in also encoding the value of cues before fixation and even cues that were never fixated. This pre-saccadic value encoding by ACC predicted which cue was next fixated during the decision process. ACC therefore conducts simultaneous processing of peripheral information to guide information sampling and choice during decision making.
A Nesprin-4/kinesin-1 cargo model for nuclear positioning in cochlear outer hair cells

Nuclear positioning is important for the functionality of many cell types and is mediated by interactions of cytoskeletal elements and nucleoskeleton proteins. Nesprin proteins, part of the linker of nucleoskeleton and cytoskeleton (LINC) complex, have been shown to participate in nuclear positioning in multiple cell types. Outer hair cells (OHCs) in the inner ear are specialized sensory epithelial cells that utilize somatic electromotility to amplify auditory signals in the cochlea. Recently, nesprin-4 (encoded by Syne4) was shown to play a crucial role in nuclear positioning in OHCs. Syne4 deficiency in humans and mice leads to mislocalization of the OHC nuclei and cell death resulting in deafness. However, it is unknown how nesprin-4 mediates the position of the nucleus, and which other molecular components are involved in this process. Here, we show that the interaction of nesprin-4 and the microtubule motor kinesin-1 is mediated by a conserved 4 amino-acid motif. Using in-vivo AAV gene delivery, we show that this interaction is critical for nuclear positioning and hearing in mice. Nuclear mislocalization and cell death of OHCs coincide with the onset of hearing and electromotility and are solely restricted to outer, but not inner, hair cells. Likewise, the C. elegans functional homolog of nesprin-4, UNC-83, uses a similar motif to mediate interactions between migrating nuclei and kinesin-1. Overall, our results suggest that OHCs require unique cellular machinery for proper nuclear positioning at the onset of electromotility. This machinery relies on the interaction between nesprin-4 and kinesin-1 motors supporting a microtubule cargo model for nuclear positioning.
Tear miRNAs Identified in a Murine Model of Sjögren’s Syndrome as Potential Diagnostic Biomarkers and Indicators of Disease Mechanism

Objective The tear miRNAome of the male NOD mouse, a model of ocular symptoms of Sjögren’s syndrome (SS), was analyzed to identify possible tear biomarkers of the disease. Methods Male NOD mice, aged 12-14 weeks, were used to identify tear miRNAs associated with development of autoimmune dacryoadenitis. Age-matched female NOD mice that do not develop the autoimmune dacryoadenitis characteristic of SS were used as negative controls while age- and sex-matched male BALB/c mice served as healthy controls. Total RNA was isolated from stimulated tears pooled from 5 mice per sample and tear miRNAs were sequenced and analyzed. Putative miRNA hits were validated using RT-qPCR in a separate mouse cohort, and the pathways influenced by the validated hits were identified using Ingenuity Pathway Analysis. Results In comparison to tears from both healthy (male BALB/c) and negative control (female NOD) mice, initial analysis identified 7 upregulated and 7 downregulated miRNAs in male NOD mouse tears. Of these, 8 were subsequently validated by RT-qPCR in tears from additional mouse cohorts. miRNAs previously implicated in SS pathology included mmu-miR-146a/b-5p, which were significantly downregulated in the male NOD mouse tears, as well as mmu-miR-150-5p and mmu-miR-181a-5p, which were upregulated in the male NOD mouse tears. All other validated hits including the upregulated miR-181b-5p and mmu-miR-203-3p, as well as the downregulated mmu-miR-322-5p and mmu-miR-503-5p, represent novel putative indicators of autoimmune dacryoadenitis in SS. Conclusions A panel of differentially expressed miRNAs were identified in tears of SS model male NOD mice, including some never previously linked to SS. These may have potential utility as diagnostic biomarkers for ocular symptoms of SS; evaluation of the pathways influenced by these dysregulated miRNAs may also provide further insights into SS pathogenesis.
Shiitake mycelium fermentation improves digestibility, nutritional value, flavor and functionality of plant proteins

Plant proteins can serve as inexpensive and environmentally friendly meat-replacements. However, poor taste characteristics and relatively low nutritional value prevent their full acceptance as meat substitutes. Fermentation of food has been historically used to improve the quality of foods. In this work we describe the improvement in digestibility, nutritional value, physical properties, and organoleptic characteristics, of a pea and rice protein concentrate blend through fermentation with shiitake mushroom mycelium. Ileal digestibility pig studies show increases in the DIAAS for the shiitake fermented pea and rice protein blend turning the blend into an “excellent source” of protein for humans. The fermentation also increases the solubility of the protein blend and reduces the content of the antinutrient compounds phytates and protease inhibitor. Mass spectrometry and sensory analyses of fermented protein blend indicates that fermentation leads to a reduction in off-note compounds substantially improving its organoleptic performance.
IS PISUM SATIVUM A GOOD MODEL SPECIES FOR THE STUDY OF ROOT RESPONSES TO NEIGHBOURS

Plant-plant competition is ubiquitous in nature. However, studying below ground behaviour 15 of roots has always posed certain difficulties. Pea (Pisum sativum L.) has become a sort of model species 16 for ecological studies about how plant roots respond to neighbouring plant roots and barriers in soil. 17 However, published results point in several different directions. This has sometimes been interpreted as 18 pea having sophisticated context dependent responses that can change in complex ways depending on 19 its surroundings. To explore this further, here, we combine the result of five new experiments with 20 published results to examine 18 unique experiments from 7 different studies for a total of 254 21 replicates. We used a Bayesian hierarchical meta-analysis approach to estimating the likely effect size 22 from the available data, as well as quantify heterogeneity among different experiments, studies and 23 cultivars. The posterior distributions show that, at the coarsest possible scale of total root production, it 24 is unlikely that P. sativum root growth is influenced by either neighbours or barriers to root growth 25 imposed by the walls of pots that vary in volume. We suggest that further work should consider 26 repeating experiments that reported finer scale root plasticity in pea at the rhizosphere scale, and also 27 consider alternative model species for the study of plant root responses to external cues. 28 29
Repeated truncation of a modular antimicrobial peptide gene for neural context

Antimicrobial peptides (AMPs) are host-encoded antibiotics that combat invading pathogens. These genes commonly encode multiple products as post-translationally cleaved polypeptides. Recent studies have highlighted roles for AMPs in neurological contexts suggesting functions for these defence molecules beyond infection. During our immune study characterizing the antimicrobial peptide gene Baramicin, we recovered multiple Baramicin paralogs in Drosophila melanogaster and other species, united by their N-terminal IM24 domain. Not all paralogs were immune-induced. Here, through careful dissection of the Baramicin family’s evolutionary history, we find that these non-immune paralogs result from repeated events of duplication and subsequent truncation of the coding sequence from an immune-inducible ancestor. These truncations leave only the IM24 domain as the prominent gene product. Surprisingly, using mutation and targeted gene silencing we demonstrate that two such genes are adapted for function in neural contexts in D. melanogaster. We also show enrichment in the head for independent Baramicin genes in other species. The Baramicin evolutionary history reveals that the IM24 Baramicin domain is not strictly useful in an immune context. We thus provide a case study for how an AMP-encoding gene might play dual roles in both immune and non-immune processes via its multiple peptide products. We reflect on these findings to highlight a blind spot in the way researchers approach AMP research in in vivo contexts. Significance statement Antimicrobial peptides are immune proteins recently implicated in neurological roles. To date little attention has been paid to the contributions of different gene products in this function. Here we show that an antimicrobial peptide gene encodes multiple products with either immune-specific or neurological roles.