Miracle-dz/UniFAR-FTUs huggingface dataset:
How Are Your Participants Feeling Today? Accounting For and Assessing Emotions in Virtual Reality

Emotions affect our perception, attention, and behavior. Hereby, the emotional state is greatly affected by the surrounding environment that can seamlessly be designed in Virtual Reality (VR). However, research typically does not account for the influence of the environment on participants’ emotions, even if this influence might alter acquired data. To mitigate the impact, we formulated a design space that explains how the creation of virtual environments influences emotions. Furthermore, we present EmotionEditor, a toolbox that assists researchers in rapidly developing virtual environments that influence and asses the users’ emotional state. We evaluated the capability of EmotionEditor to elicit emotions in a lab study (n=30). Based on interviews with VR experts (n=13), we investigate how they consider the effect of emotions in their research, how the EmotionEditor can prospectively support them, and analyze prevalent challenges in the design as well as development of VR user studies.
Averaging a local PLSR pipeline to predict chemical compositions and nutritive values of forages and feed from spectral near infrared data

Partial least squares regression (PLSR) is a reference method in chemometrics. In agronomy, it is used for instance to predict components of chemical composition (response variables y) of vegetal materials from spectral near infrared (NIR) data X collected from spectrometers. The principle of PLSR is to reduce the dimension of the spectral data X by computing vectors that are then used as latent variables (LVs) in a multiple linear model. A difficulty is to determine the relevant dimensionality (number of LVs) of the model for the given available data. This step can also become time consuming when many different datasets have to be processed and/or the datasets are frequently updated. An alternative to determinate the relevant PLSR dimensionality is the ensemble learning method “PLSR averaging”. In the past, this method has been demonstrated to be efficient for complex biological materials such as mixed forages, and facilitates to automatize predictions (e.g. in user-friendly web interface platforms). This article presents the extension of the PLSR averaging to a k-nearest neighbors locally weighted PLSR pipeline (kNN-LWPLSR). The kNN-LWPLSR pipeline has the advantage to account for non-linearity between X and y existing for instance in heterogeneous data (e.g. mixing of vegetal species, collection from different geographical areas, etc.). In the article, kNN-LWPLSR averaging is applied to an extensive NIR database built to predict the chemical composition of European and tropical forages and feed. The main finding of the study was the overall superiority of the averaging compared to the usual kNN-LWPLSR. Averaging may therefore be recommended in local PLSR pipelines to predict NIR forage and feed data.
A fluorescence-based sensor screen identifies MED12 as a potential microsatellite instability regulator in colon cancer

Inactivation of the DNA mismatch repair (MMR) system, due to (epi)genetic alterations of MMR genes, increases the frequency of mutations across the genome, creating a phenotype known as microsatellite instability (MSI). Cancers with this phenotype have been associated with a better prognosis for some time, but only since recently it has been recognised as a predictive biomarker of response to immunotherapy. Because MSI tumours accumulate more insertions and/or deletions in coding regions of the genome containing microsatellites, there is an increase in neoantigens resulting from reading frame shifts, which promotes immunogenicity. To investigate if additional genes exist that can cause an MSI phenotype, we developed a fluorescence-based sensor to identify genes whose inactivation increases the rate of frameshift mutations on microsatellite sequences in cancer cells. Using genome-scale CRISPR/Cas9 screens, we identified MED12 as a potential new regulator of microsatellite instability. Consistent with this, we found that MED12 mutant colon cancers that lack mutations in the known MMR genes are more likely to be of the MSI phenotype.
Overlapping Neural Correlates Underpin Theory of Mind and Semantic Cognition: Evidence from a Meta-Analysis of 344 Functional Neuroimaging Studies

Key unanswered questions for cognitive neuroscience include whether social cognition is underpinned by specialised brain regions and to what extent it simultaneously depends on more domain-general systems. Until we glean a better understanding of the full set of contributions made by various systems, theories of social cognition will remain fundamentally limited. In the present study, we evaluate a recent proposal that semantic cognition plays a crucial role in supporting social cognition. While previous brain-based investigations have focused on dissociating these two systems, our primary aim was to assess the degree to which the neural correlates are overlapping, particularly within two key regions, the anterior temporal lobe (ATL) and the temporoparietal junction (TPJ). We focus on activation associated with theory of mind (ToM) and adopt a meta-analytic activation likelihood approach to synthesise a large set of functional neuroimaging studies and compare their results with studies of semantic cognition. As a key consideration, we sought to account for methodological differences across the two sets of studies, including the fact that ToM studies tend to use nonverbal stimuli while the semantics literature is dominated by language-based tasks. Overall, we observed consistent overlap between the two sets of brain regions, especially in the ATL and TPJ. This supports the claim that tasks involving ToM draw upon more general semantic retrieval processes. We also identified activation specific to ToM in the right TPJ, bilateral anterior mPFC, and right precuneus. This is consistent with the view that, nested amongst more domain-general systems, there is specialised circuitry that is tuned to social processes.
Assembly of SARS-CoV-2 ribonucleosomes by truncated N* variant of the nucleocapsid protein

The Nucleocapsid (N) protein of SARS-CoV-2 compacts the RNA genome into viral ribonucleoprotein (vRNP) complexes within virions. Assembly of vRNPs is inhibited by phosphorylation of the N protein SR region. Several SARS-CoV-2 variants of concern carry N protein mutations that reduce phosphorylation and enhance the efficiency of viral packaging. Variants of the dominant B.1. 1 viral lineage also encode a truncated N protein, termed N* or Δ(1–209), that mediates genome packaging despite lacking the N-terminal RNA-binding domain and SR region. Here, we show that Δ(1–209) and viral RNA assemble into vRNPs that are remarkably similar in size and shape to those formed with full-length N protein. We show that assembly of Δ(1–209) vRNPs requires the leucine-rich helix (LH) of the central disordered region, and that the LH promotes N protein oligomerization. We also find that fusion of a phosphomimetic SR region to Δ(1–209) inhibits RNA binding and vRNP assembly. Our results provide new insights into the mechanisms by which RNA binding promotes N protein self-association and vRNP assembly, and how this process is modulated by SR phosphorylation.
Working title : “ The link between visual representations and behavior in human scene perception ” Abbreviated title : “ Linking brain and behavior in scene perception

Affiliations: 1Department of Education and Psychology, Freie Universität Berlin, Germany 2Vision and Computational Cognition Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany 3Charité – Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin, Germany 4Department of Medicine, Justus-Liebig-Universität Gießen, Germany * Corresponding author Email: johannes.singer@arcor.de ¶ These authors contributed equally
On the impact of re-mating and residual fertility on the Sterile Insect Technique efficacy: case study with the medfly, Ceratitis capitata

The sterile insect technique (SIT) can be an efficient solution for reducing or eliminating certain insect pest populations. It is widely used in agriculture against fruit flies, including the Mediterranean fruit fly (medfly), Ceratitis capitata. The re-mating tendency of medfly females and the fact that the released sterile males may have some residual fertility could be a challenge for the successful implementation of the SIT. Obtaining the right balance between sterility level and sterile male quality (competitiveness, longevity, etc) is the key to a cost-efficient program. Since field experimental approaches can be impacted by many environmental variables, it is difficult to get a clear understanding on how specific parameters, alone or in combination, may affect the SIT efficiency. The use of models not only helps to gather knowledge, but it allows the simulation of a wide range of scenarios and can be easily adapted to local populations and sterile male production. In this study, we consider single- and double-mated females. We first show that SIT can be successful only if the residual fertility is less than a threshold value that depends on the basic offspring number of the targeted pest population, the re-mating rates, and the parameters of double-mated females. Then, we show how the sterile males release rate is affected by the parameters of double-mated females and the male residual fertility. Different scenarios are explored with continuous and periodic sterile males releases, with and without ginger aromatherapy, which is known to enhance sterile male competitiveness, and also taking into account some biological parameters related to females that have been mated twice, either first by a wild (sterile) male and then a sterile (wild) male, or by wild males only. Parameter values were chosen for peach as host fruit to reflect what could be expected in the Corsican context, where SIT against the medfly is under consideration. The obtained results confirmed that the use of ginger aromatherapy is an essential step for SIT success against medfly. Our work also highlights the importance of estimating the duration of the refractory period between matings and how it may change when a wild (or sterile) female mates first with a sterile (or wild) male. Further, we show the importance of parameters, like the (hatched) eggs deposit rate and the death-rate related to all fertile double-mated females. In general, re-mating is considered to be detrimental to SIT programs. However, our results show that, depending on the parameter values of double-mated females, re-mating may also be beneficial for SIT. Our model, being generic, can be easily adapted to different contexts and species, for a broader understanding of release strategies and management options.
Title: In vitro investigation of antibacterial activity of Gum Arabic prepared by 1 two different processing methods against Enterococcus faecalis

: 18 Background 19 E. faecalis is a known cause of endodontic treatment failure. Synthetic drugs have 20 been preferred for over decades but recently many plants have been reported for 21 their antibacterial activity. The aim of this study is to investigate the antibacterial 22 effect of mechanically ground and spray dried Acacia senegal against 23 Enterococcus faecalis. 24 Method: 25 Antibacterial susceptibility test against Enterococcus faecalis (ATCC 29212) has 26 been performed for 200mg of ethanolic extracts of spray dried & mechanically 27 ground Gum Arabic. Sodium Hypochlorite (1%), Chlorhexidine (0.2%) and 28 Antibiotic multi disc for gram positive bacteria have been used as positive controls 29 and ethanol as a negative control. The diameter of the inhibition zones have been 30 measured.
Development of an optimized, non‐stem cell line for intranasal delivery of therapeutic cargo to the central nervous system

Neural stem cells (NSC) are considered to be valuable candidates for delivering a variety of anti-cancer agents to brain tumors, including oncolytic viruses. However, owing to the previously reported tumorigenic potential of NSC cell line after intranasal administration (INA), here we identified the human hepatic stellate cell line (LX-2) as a cell type capable of longer resistance to replication of oncolytic adenoviruses (OAV) as therapeutic cargo, and being non-tumorigenic after INA. Our data show that LX-2 cells can longer withstand the OAV XVir-N-31 replication and oncolysis than NSCs. By selecting the highly migratory cell population out of LX-2, an offspring cell line with a higher and more stable capability to migrate was generated. Additionally, as a safety backup, we applied genomic HSV-TK integration into LX-2 leading to the high vulnerability to Ganciclovir. Histopathological analyses confirmed the absence of neoplasia in the respiratory tracts and brains of immuno-compromised mice 3 months after INA of LX-2 cells. Our data suggest that LX-2 is a novel robust and safe cell line for delivering anti-cancer and other therapeutic agents to the brain.
ESAT-6 undergoes self-association at phagosomal pH and an ESAT-6 specific nanobody restricts M. tuberculosis growth in macrophages

Mycobacterium tuberculosis (Mtb) is known to survive within macrophages by compromising the integrity of the phagosomal compartment in which it resides. This activity primarily relies on the ESX-1 secretion system, predominantly involving the protein duo ESAT-6 and CFP-10. CFP-10 likely acts as a chaperone, while ESAT-6 likely disrupts phagosomal membrane stability via a largely unknown mechanism. we employ a series of biochemical analyses, protein modeling techniques, and a novel ESAT-6-specific nanobody to gain insight into the ESAT-6’s mode of action. First, we measure the binding kinetics of the tight 1:1 complex formed by ESAT-6 and CFP-10 at neutral pH. Subsequently, we demonstrate a rapid self-association of ESAT-6 into large complexes under acidic conditions, leading to the identification of a stable tetrameric ESAT-6 species. Using molecular dynamics simulations, we pinpoint the most probable interaction interface. Furthermore, we show that cytoplasmic expression of an anti-ESAT-6 nanobody blocks Mtb replication, thereby underlining the pivotal role of ESAT-6 in intracellular survival. Together, these data suggest that ESAT-6 acts by a pH dependent mechanism to establish two-way communication between the cytoplasm and the Mtb-containing phagosome.
Paraphilias

Purpose of review The concept of paraphilia still carries an ‘unwanted burden’ of sexual norms because the pathologization of some sexual practices as paraphilic disorders is still based on the assumption that normal sexuality should be genitally organized with the aim of reproduction. The aim of this review is to give an impression of the ongoing discussion about the changes introduced with the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) and the results of recent research in this area. Recent findings The release of DSM-5 in the spring of 2013 introduced a distinction between paraphilias and paraphilic disorders, implying a destigmatization of consenting adults engaging in unusual sexual behaviour. According to DSM-5 diagnostic criteria, paedophilic disorder is the only paraphilic disorder without an ‘in remission’ and an ‘in a controlled environment’ specifier. Today, antiandrogen treatment is offered to sex offenders in many countries as an additional treatment strategy alongside psychotherapy. Summary The introduction of DSM-5 offers the possibility to distinguish between paraphilia and paraphilic disorders. The aetiology of paraphilias is still unknown. Paraphilias are much more common in men than in women, but the reasons for this difference remain unknown. So far there is no clear consent on the best therapeutic approach for a paraphilic disorder.
Reinforcement Motor Learning After Cerebellar Damage Is Related to State Estimation

Recent work showed that individuals with cerebellar degeneration could leverage intact reinforcement learning (RL) to alter their movement. However, there was marked inter-individual variability in learning, and the factors underlying it were unclear. Cerebellum-dependent sensory prediction may contribute to RL in motor contexts by enhancing body state estimates, which are necessary to solve the credit-assignment problem. The objective of this study was to test the relationship between the predictive component of state estimation and RL in individuals with cerebellar degeneration. Individuals with cerebellar degeneration and neurotypical control participants completed two tasks: an RL task that required them to alter the angle of reaching movements and a state estimation task that tested the somatosensory perception of active and passive movement. The state estimation task permitted the calculation of the active benefit shown by each participant, which is thought to reflect the cerebellum-dependent predictive component of state estimation. We found that the cerebellar and control groups showed similar magnitudes of learning with reinforcement and active benefit on average, but there was substantial variability across individuals. Using multiple regression, we assessed potential predictors of RL. Our analysis included active benefit, somatosensory acuity, clinical ataxia severity, movement variability, movement speed, and age. We found a significant relationship in which greater active benefit predicted better learning with reinforcement in the cerebellar, but not the control group. No other variables showed significant relationships with learning. Overall, our results support the hypothesis that the integrity of sensory prediction is a strong predictor of RL after cerebellar damage.
A novel patient-derived cellular platform for validating microglia-targeted therapeutics for Alzheimer’s disease

The scarcity of effective biomarkers and therapeutic strategies for predicting disease onset and progression in Alzheimer’s disease (AD) is a major challenge to improve much-needed therapeutic outcomes. Conventional drug discovery approaches have been unsuccessful in providing efficient interventions due to their ‘one-size-fits-all’ nature. As an alternative, personalised drug development holds promise to pre-select responders and identify suitable drug efficacy indicators. In this study, we established a preclinical drug testing strategy by assessing the efficacy of anti-inflammatory drugs in 2D and 3D in vitro models of monocyte-derived microglia-like cells (MDMi) derived from AD and mild cognitive impairment (MCI) patients, and matched healthy individuals. We observed that the cytokine inflammatory profiles of MDMi in response to drugs clustered separately between cohorts, with the 3D model showing a more defined separation between healthy and patient donors than 2D. By ranking donor and cytokine responses to drugs, we identified that drug efficacy was limited in AD patients and involved cohort-specific responsive cytokines. Our findings suggest that MDMi models have the potential to predict disease progression, stratify responders and identify biomarkers for estimating the efficacy of microglia-targeted drugs. Together, our pipeline could serve as a valuable tool to enhance the clinical translational value of preclinical drug screens and ultimately improve drug outcomes for AD.
The Good, the Bad, and the Evil Media: Influence of Online Comments on Media Trust

ABSTRACT In two experiments, this manuscript examines the impact of uncivil news comments for both users and newsrooms. The first experiment varied the tone of the comments and determined that uncivil comments reduced media trust and outlet trust in comparison to civil comments. The second study examined the target of the comments and determined that uncivil comments targeting the author of the story decreased media trust, and uncivil comments targeting the outlet reduced trust in the specific media outlet. Neither the nature of the comments nor comment targets were related to use intentions. Implications are discussed.
Biophysical Mechanism of Allosteric Regulation of Actin Capping Protein

Actin capping protein (CP) can be regulated by steric and allosteric mechanisms. The molecular mechanism of the allosteric regulation at a biophysical level includes linkage between the binding sites for three ligands: F-actin, Capping-Protein-Interacting (CPI) motifs, and V-1/myotrophin, based on biochemical functional studies and solvent accessibility experiments. Here, we investigated the mechanism of allosteric regulation at the atomic level using single-molecule Förster resonance energy transfer (FRET) and molecular dynamics (MD) to assess the conformational and structural dynamics of CP in response to linked-binding site ligands. In the absence of ligand, both single-molecule FRET and MD revealed two distinct conformations of CP in solution; previous crystallographic studies revealed only one. CPI-motif peptide association induced conformational changes within CP that propagate in one direction, while V-1 association induced conformational changes in the opposite direction. Comparing CPI-motif peptides from different proteins, we identified variations in CP conformations and dynamics that are specific to each CPI motif. MD simulations for CP alone and in complex with a CPI motif and V-1 reveal atomistic details of the conformational changes. Analysis of the interaction of CP with wildtype (wt) and chimeric CPI-motif peptides using single-molecule FRET, isothermal calorimetry (ITC) and MD simulation indicated that conformational and affinity differences are intrinsic to the C-terminal portion of the CPI-motif. We conclude that allosteric regulation of CP involves changes in conformation that disseminate across the protein to link distinct binding-site functions. Our results provide novel insights into the biophysical mechanism of the allosteric regulation of CP.
A framework for a distributed key management scheme in heterogeneous wireless sensor networks

Key management has become a challenging issue in the design and deployment of secure wireless sensor networks. A common assumption in most existing distributed key management schemes is that all sensor nodes have the same capability. However, recent research works have suggested that connectivity and lifetime of a sensor network can be substantially improved if some nodes are given greater power and transmission capability. Therefore, how to exploit those heterogeneity features in design of a good distributed key management scheme has become an important issue. This paper proposes a unified framework for distributed key management schemes in heterogeneous wireless sensor networks. Analytical models are developed to evaluate its performance in terms of connectivity, reliability, and resilience. Extensive simulation results show that, even with a small number of heterogeneous nodes, the performance of a wireless sensor network can be improved substantially. It is also shown that our analytical models can be used to accurately predict the performance of wireless sensor networks under varying conditions.