Miracle-dz/UniFAR-FTUs huggingface dataset:
eXplego: An interactive Tool that Helps you Select Appropriate XAI-methods for your Explainability Needs

The growing demand for transparency, interpretability, and explainability of machine learning models and AI systems has fueled the development of methods aimed at understanding the properties and behavior of such models (XAI). Since different methods answer different explainability questions, it is crucial to understand the kind of explanation the different XAI-methods provide, and in what situations they should be used. We introduce eXplego , an interactive tree-structured tool designed to assist users in selecting the most suitable XAI method for their use case. eXplego prompts users to answer questions regarding the type of explanation they seek, guiding them along the branches of the decision tree for further inquiries. After 2-5 questions, the tree reaches one of its leaves to suggest an XAI method aligned with the user’s explainability need. The tool also provides helpful practical examples, simplified descriptions of the suggested method’s functionality and interpretability, points to consider when using the method, and links to the paper introducing the method, additional resources, and software implementations. The tool is developed from an in-depth study to discern the characteristics of the most prominent methods and the nature of the explanations they provide. We believe eXplego will help streamline the process of XAI method selection and contribute to the practical implementation of XAI in various domains. The tool is available at explego.nr. no.
Punishment has a persistent e ﬀ ect on error-related brain activity in highly anxious individuals twenty-four hours after conditioning

The ability to detect and respond to errors, and to subsequently recruit cognitive control to remediate those errors, is critical to successful adaptation in a changing environment. However, there is also evidence that, for anxious individuals, this error signal is enhanced, highlighting a ﬀ ective and motivational in ﬂ uences on error monitoring. These individual di ﬀ erences arise as a function of both genetic in ﬂ uences and learning experiences. In this study, we examined punishment-based modulation of the error-related negativity (ERN) in high and low anxious individuals across two days. Twenty-two low-and 25 high-anxious participants performed a Flanker task in a standard and punishment condition in three phases (Day one: acquisition and extinction 1, Day two: extinction 2). During the acquisition phase, errors in one condition were punished by a loud noise. This was followed by an immediate extinction phase (extinction 1), during which errors were no longer punished, and an identical extinction phase 24h later (extinction 2). Only high anxious individuals showed increased ERN amplitudes in the punishment compared to the standard condition. This e ﬀ ect was not modulated by phase and was observed across acquisition and both extinction phases, such that anxious individuals appeared not to learn that the threat value of formerly-punished errors had changed in the course of the experiment. These data suggest that environmental factors (i.e., punishment) can have a persistent e ﬀ ect on the magnitude of the ERN, particularly for anxious individuals. This may point to a pathogenic mechanism linking learning experiences with the development of overactive error-monitoring in anxiety.
University of Birmingham Visual objects approaching the body modulate subsequent somatosensory processing at 4 months of age

We asked whether, in the first year of life, the infant brain can support the dynamic crossmodal interactions between vision and somatosensation that are required to represent peripersonal space. Infants aged 4 (n = 20, 9 female) and 8 (n = 20, 10 female) months were presented with a visual object that moved towards their body or receded away from it. This was presented in the bottom half of the screen and not fixated upon by the infants, who were instead focusing on an attention getter at the top of the screen. The visual moving object then disappeared and was followed by a vibrotactile stimulus occurring later in time and in a different location in space (on their hands). The 4-month-olds’ somatosensory evoked potentials (SEPs) were enhanced when tactile stimuli were preceded by unattended approaching visual motion, demonstrating that the dynamic visual-somatosensory cortical interactions underpinning representations of the body and peripersonal space begin early in the first year of life. Within the 8-month-olds’ sample, SEPs were increasingly enhanced by (unexpected) tactile stimuli following receding visual motion as age in days increased, demonstrating changes in the neural underpinnings of the representations of peripersonal space across the first year of life.
AppMoD: Helping older adults manage mobile security with online social help

Citation WAN, Zhiyuan; BAO, Lingfeng; GAO, Debin; TOCH, Eran; XIA, Xin; MENDEL, Tamir; and LO, David. AppMoD: Helping older adults manage mobile security with online social help. (2019). Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 3, (4), 154:1-22. Research Collection School Of Information Systems. Available at: https://ink.library. smu.edu. sg/sis_research/4717
Functional and effective connectivity underlying semantic verbal �uency

Semantic verbal �uency (SVF) impairment is present in several neurological disorders. Although activation in SVF-related areas has been reported, how these regions are connected and their functional roles in the network remain divergent. We assessed SVF static and dynamic functional connectivity (FC) and effective connectivity using functional magnetic resonance imaging in healthy participants. We observed activation in the inferior frontal (IFG), middle temporal (pMTG) and angular gyri (AG), anterior cingulate (AC), insular cortex, and regions of the superior, middle, and medial frontal gyri (SFG, MFG, MidFG). Our static FC analysis showed a highly interconnected network for task and resting state. Increased connectivity of AC with the pMTG and AG was observed for the task. The dynamic FC analysis provided circuits with connections similarly modulated across time and regions related to category identi�cation, language comprehension, word selection and recovery, word generation, inhibition of speaking, speech planning, and articulatory planning of orofacial movements. Finally, the effective connectivity analysis provided a network that best explained our data, starting at the AG and going to the pMTG, from which there was a division between the ventral and dorsal routes. The SFG and MFG regions were connected and modulated by the MidFG, while the inferior regions formed the ventral route. Therefore, we successfully assessed the SVF network exploring regions associated with the entire processing, from category identi�cation to word generation. The methodological approach can be helpful for further investigation of the SVF network in neurological disorders.
MOTION GRAPHICS IN RELATION TO BRANDING

Nowadays, there are many trends and changes happening in the market industry, in order to cope with the rise of technologies. Brands are finding new, modern, and revolutionary ways in order to elevate their identities into new levels. Therefore, the adoption of motion graphics and videos yield remarkable improvements in marketing in general. The benefits of motion graphics and its impact on the field of design and marketing have attracted the attention of researchers and businesses around the world. This thesis focuses on the benefits of motion graphics in branding, and how it can add more values, opportunities, and movement to digital brand identities in order to make brands live and breathe. First, the term of “Motion Graphics” is introduced and defined, for it is a vague concept for some of the viewers. In addition, a small description of the history of branding and motion graphics is touched upon, in order to give the viewers, the idea of where both fields came from and how they evolved to the level they are now. Second, the thesis uses a qualitative method such as semi-structured interviews, to gather data through the insights, experiences and knowledge of professional designers working in the field. The interview method is chosen because it is best suited to provide a more complete understanding of the research problem than quantitative data for this specific topic. Then this thesis continues to illustrate the importance of adding motion graphics in every digital brand. Where each brand can have its own unique style of animation that can differentiate their identity in the market. Therefore, some examples are presented as well as some successful digital brands that have their own animation and illustration style that make their identity stand out. Finally, the results show that motion graphics is indeed in demand and may become a norm to be added in every digital brand toolkit. In addition, motion graphics can add dynamism, can reflect the digital brand and its attributes in a better way, help brands convey their messages in a more effective way, and can increase the value and make it more suitable for social media.
M ATERIALS N ANOSCIENCE Sensing ability of Liquefied Petroleum Gas by Epsilon phosphorene nanosheets - a DFT investigation

The adsorption attributes of propane and butane vapours on epsilon phosphorene nanosheets (ε-PNS) are studied based on the DFT method. The major constituents of Liquefied Petroleum Gas (LPG) are propane and butane vapours. The structural stability of ε-PNS is ascertained with the formation energy. The formation energy of ε-PNS is recorded as - 5.086 eV/atom. Moreover, the band gap of ε-PNS is found to be 0.369 eV, indicating the semiconductor behaviour. Furthermore, the adsorption of propane and butane vapours on ε-PNS changes the electronic properties of ε-PNS, which are revealed from the band structure and projected density of states variations. Also, the charge transfer and variation in the electron density are observed due to adsorption of propane and butane molecular adsorption on ε-PNS. The outcome support that ε-PNS can be deployed as a chemical nanosensor for detection of LPG leak in the vicinity.
Novel disease state model finds most juvenile green turtles develop and recover from fibropapillomatosis

Fibropapillomatosis (FP) is a sea turtle disease characterized by benign tumor development on the skin, eyes, and/or internal organs. It primarily affects juvenile green turtles ( Chelonia mydas ) in coastal foraging sites. The Indian River Lagoon (IRL), Florida, USA, is a coastal green turtle foraging site where the observed FP annual rate averaged 49% between 1983 and 2018. While FP is no longer considered a major cause of sea turtle mortality and most individuals fully recover, the overall dynamics of this disease are poorly understood because prior disease history is unknown for individuals without FP at capture time, and future disease outcome is unknown for individuals with FP at capture time. To better evaluate FP dynamics for green turtles in the IRL, we developed a hierarchical model for predicting disease state change. We used data from 4149 captures of 3700 individual green turtles captured in the IRL. The hierarchical disease state model contained two levels: Level 1 modeled whether an individual would develop FP, and Level 2 modeled disease state progression, including states for pre-FP affliction, active FP affliction, and full recovery from FP. From the hierarchical model, we estimated 99.8% (95% credibility intervals 99.1% – 100%) of juvenile green turtles in the IRL developed FP, indicating that nearly every individual in the IRL is affected by this disease. The model also suggested that turtles quickly developed FP upon recruitment to the IRL and then recovered at different rates, with most completely recovering before emigrating from the IRL as they mature. This is the first analysis of long-term sea turtle data suggesting nearly every turtle in an aggregation both develops and recovers from FP
Preparation of Tamsulosin Hydrochloride-Loaded Mucoadhesive In Situ Gelling Polymeric Formulation for Nasal Delivery in Geriatrics

This study aimed to prepare tamsulosin hydrochloride (HCl)-loaded in situ gelling formulation by using hydroxypropyl methylcellulose (HPMC), gellan gum, poloxamer 188, and benzalkonium chloride. Physicochemical evaluation of formulations included determination of pH, viscosity, gelation time, gel strength, drug content, and sterility. In silico study was performed to analyze interactions between polymers, drug, and mucin glycoprotein. In vitro degradation time, drug release, ex vivo mucoadhesion time, permeation, in vivo pharmacokinetics, and stability studies were performed to assess the formulation. Formulations were transparent and displayed acceptable physicochemical attributes. Tamsulosin HCl and polymers interacted via non-covalent interactions. HPMC formed hydrogen bonds, hydrophobic and van der Waals interactions with mucin protein while the drug formed hydrogen bonds only. Gel formulation degraded in simulated nasal fluid within 24 h. In situ gelling formulation showed 83.8 ± 1.7% drug release and remained adhered to the mucosa for 24.5 ± 1 h. A higher (~ 1.85 times) drug permeation was recorded through mucosa within 6 h by in situ gelling formulation when compared to control counterparts (aqueous solution of drug and in situ gelling formulation without poloxamer 188). Nasal administration of tamsulosin HCl by using in situ gelling formulation led to a ~ 3.3 and ~ 3.5 times, respectively, higher Cmax (maximum plasma concentration) and AUCtotal (total area under the curve) than the orally administered aqueous solution. Relative bioavailability of drug delivered by nasal in situ gelling formulation was 3.5 times the oral counterpart. These results indicated that the prepared in situ gelling formulation can act as a promising candidate for systemic administration of tamsulosin HCl.
Physical Properties of Massive Compact Starburst Galaxies with Physical Properties of Massive Compact Starburst Galaxies with Extreme Outflows Extreme Outflows

We present results on the nature of extreme ejective feedback episodes and the physical conditions of a population of massive ( M * ∼ 10 11 M e ) , compact starburst galaxies at z = 0.4 – 0.7. We use data from Keck / NIRSPEC, SDSS, Gemini / GMOS, MMT
An integrin-targeting AAV developed using a novel computational rational design methodology presents improved targeting of the skeletal muscle and reduced liver tropism

Current adeno-associated virus (AAV) gene therapy using nature-derived AAVs is limited by non-optimal tissue targeting. In the treatment of muscular diseases (MD), high doses are therefore often required, but can lead to severe adverse effects. To lower treatment doses, we rationally designed an AAV that speci�cally targets skeletal muscle. We employed a novel computational design that integrated binding motifs of integrin alpha V beta 6 ( α V β 6) into a liver-detargeting AAV capsid backbone to target the human α V β 6 complex – a selected AAV receptor for skeletal muscle. After sampling the low-energy capsid mutants, all in silico designed AAVs showed higher productivity compared to their parent. We con�rmed in vitro that the enhanced transduction is due to the binding to the α V β 6 complex. Thanks to inclusion of α V β 6-binding motifs, the designed AAVs exhibited enhanced transduction e�cacy in human differentiated myotubes as well as in murine skeletal muscles in vivo. One notable variant, LICA1, showed similar muscle transduction to other published myotropic AAVs, while being signi�cantly more strongly liver-detargeted. We further examined the e�cacy of LICA1, in comparison to AAV9, in delivering therapeutic transgenes in two mouse MD models at a low dose of 5E12 vg/kg. At this dose, AAV9 was suboptimal, while LICA1 transduced effectively and signi�cantly better than AAV9 in all tested muscles. Consequently, LICA1 corrected the myopathology, restored global transcriptomic dysregulation, and improved muscle functionality. These results underline the potential of our design method for AAV engineering and demonstrate the relevance of the novel AAV variant for gene therapy treatment of MD.
Spider-Scents: Grey-box Database-aware Web Scanning for Stored XSS

As web applications play an ever more important role in society, so does ensuring their security. A large threat to web application security is XSS vulnerabilities, and in particular, stored XSS. Due to the complexity of web applications and the difﬁculty of properly injecting XSS payloads into a web application, many of these vulnerabilities still evade current state-of-the-art scanners. We approach this problem from a new direction—by injecting XSS payloads directly into the database we can completely bypass the difﬁculty of injecting XSS payloads into a web application. We thus propose Spider-Scents, a novel method for grey-box database-aware scanning for stored XSS, that maps database values to the web application and automatically ﬁnds unprotected outputs. Spider-Scents reveals code smells that expose stored XSS vulnerabilities. We evaluate our approach on a set of 12 web applications and compare with three state-of-the-art black-box scanners. We demonstrate improvement of database coverage, ranging from 79% to 100% database coverage across the applications compared to the range of 2% to 60% for the other scanners. We systematize the relationship between unprotected outputs, vulnerabilities, and exploits in the context of stored XSS. We manually analyze unprotected outputs reported by Spider-Scents to determine their vulnerability and exploitability. In total, this method ﬁnds 85 stored XSS vulnerabilities, outperforming the union of state-of-the-art’s 32.
Pax9 is required for ﬁliform papilla development and suppresses skin-speciﬁc differentiation of the mammalian tongue epithelium

The epidermis is a derivative of the surface ectoderm. It forms a protective barrier and speciﬁc appendages including hair, nails, and different eccrine glands. The surface ectoderm also forms the epithelium of the oral cavity and tongue, which develop a slightly different barrier and form different appendages such as teeth, ﬁliform papillae, taste papillae, and salivary glands. How this region-speciﬁc differentiation is genetically controlled is largely unknown. We show here that Pax9 , which is expressed in the epithelium of the tongue but not in skin, regulates several aspects of tongue-speciﬁc epithelial differentiation. In Pax9 -deﬁcient mice ﬁliform papillae lack the anterior– posterior polarity, a defect that is associated with temporal–spatial changes in Hoxc13 expression. Barrier formation is disturbed in the mutant tongue and genome-wide expression proﬁling revealed that the expression of speciﬁc keratins ( Krt ), keratin-associated proteins, and members of the epidermal differentiation complex is signiﬁcantly down-regulated. In situ hybridization demonstrated that several ‘hard’ keratins, Krt1-5 , Krt1-24 , and Krt2-16 , are not expressed in the absence of Pax9 . Notably, speciﬁc ‘soft’ keratins, Krt2-1 and Krt2-17 , normally weakly expressed in the tongue but present at high levels in skin and in orthokeratinized oral dysplasia are up-regulated in the mutant tongue epithelium. This result indicates a partial trans-differentiation to an epithelium with skin-speciﬁc characteristics. Together, our ﬁndings show that Pax9 regulates appendage formation in the mammalian tongue and identify Pax9 as an important factor for the region-speciﬁc differentiation of the surface ectoderm.
Text-Based Video Generation With Human Motion and Controllable Camera

As expectations related to generative models have risen recently, Text-to-Video (T2V) models are being actively studied. Existing T2V models have limitations in that it is difficult to generate complex movements such as human motions. Then often generate unintended human motions and the scale of the subject. In order to improve the quality of videos that include human motion, we propose a three-stage framework. In the first stage, Text-driven Human Motion Generation network generates 3D human motion from input text prompt. In the second stage, 3D human motion sequence is projected to a 2D skeleton format. In the third stage, and then Skeleton-Guided Text-to-Video Generation module generates a video where the motion of subject is well represented. In addition, we can manipulate the camera view point and angle to generate a video we want, since the human motion generated in the first stage is 3D, not, 2D. We demonstrated that the proposed framework outperforms the existing Text-to-Video models in quantitative and qualitative manners. To the best of our knowledge, the our framework is the first methods using Text-driven Human Motion Generation networks to improve video with human motions. Our Project pages are available in https: //yangchanghee.github. io/ICCVW_CPM/ .
and use of a new primer pair for the characterization of the cyanobacteria Synechococcus and Prochlorococcus communities targeting petB gene through

During the last years, the application of next-generation sequencing (NGS) technologies to search for specific genetic markers has become a crucial method for the characterization of microbial communities. Illumina MiSeq, likely the most widespread NGS platform for metabarcoding experiments and taxonomic classification, allows processing shorter reads than the classical SANGER sequencing method and therefore requires specific primer pairs that produce shorter amplicons. Specifically, for the analysis of the commonly studied Prochlorococcus and Synechococcus communities, the petB marker gene has recently stood out as able to provide deep coverage to determine the microdiversity of the community. However, current petB primer set produce a 597 bp amplicon that is not suitable for MiSeq chemistry. Here, we designed and tested a petB primer pair that targets both Prochlorococcus and Synechococcus communities producing an appropriate amplicon to be used with state-of-the-art Illumina MiSeq. This new primer set allows the classification of both groups to a low taxonomic level and is therefore suitable for high throughput experiments using MiSeq technologies, therefore constituting a useful, novel tool to facilitate further studies on Prochlorococcus and Synechococcus communities. •
Dynamic Heterogeneous Task Speciﬁcation and Execution for In Situ Workﬂows

—Today’s science campaigns consist of multiple tasks with wide-ranging data and computing requirements, and rarely are all the required capabilities found in current in situ workﬂow systems. In this work, we explore providing increased capabilities for scientiﬁc computing by bringing new capabilities to in situ workﬂows: a ﬂexible interface for workﬂow speciﬁcation, heterogeneous task placement, and dynamic changes to the workﬂow task graph. We evaluate our approach using materials science and cosmology use cases. Our results show that our approach (i) can save time and resources in science workﬂows exhibiting dynamic patterns by enabling dynamic workﬂow changes during their lifetime; (ii) enables easier speciﬁcation of large-scale workﬂows consisting of subgraphs and ensemble computations; (iii) efﬁciently coordinates heterogeneous tasks by enabling free intermixing of time and space partitioning, thus resulting in time and space savings.