Miracle-dz/UniFAR-FTUs huggingface dataset:
Decline of Orientation and Direction Sensitivity in the Aging Population

While the aging population is growing, our knowledge regarding age-related deterioration of visual perception remains limited. In the present study, we investigated the effects of aging on orientation and direction sensitivity in a healthy population using a weighted up–down adaptive method to improve the efficiency and reliability of the task. A total of 57 healthy participants aged 22–72 years were included and divided into old and young groups. Raw experimental data were processed using a psychometric method to determine the differences between the two groups. In the orientation task, the threshold of the discrimination angle and bias (i.e., the difference between the perceived midpoint from the logistic function and the reference point) was increased, while the lapsing rate (i.e., 1—the maximum logistic function) did not significantly change in the old group compared with the young group. In the motion direction task, the threshold, bias, and lapsing rate were significantly increased in the old group compared with the young group. These results suggest that the decreased ability of old participants in discrimination of stimulus orientation and motion direction could be related to the impaired function of visual cortex.
Specific Protein 1 and p53 Interplay Modulates the Expression of the KCTD-Containing Cullin3 Adaptor Suppressor of Hedgehog 2

The Hedgehog (Hh) signaling pathway plays a crucial role in normal embryonic development and adult tissue homeostasis. On the other end, dysregulated Hh signaling triggers a prolonged mitogenic response that may prompt abnormal cell proliferation, favoring tumorigenesis. Indeed, about 30% of medulloblastomas (MBs), the most common malignant childhood cerebellar tumors, exhibit improper activation of the Hh signaling. The oncosuppressor KCASH2 has been described as a suppressor of the Hh signaling pathway, and low KCASH2 expression was observed in Hh-dependent MB tumor. Therefore, the study of the modulation of KCASH2 expression may provide fundamental information for the development of new therapeutic approaches, aimed to restore physiological KCASH2 levels and Hh inhibition. To this end, we have analyzed the TATA-less KCASH2 proximal promoter and identified key transcriptional regulators of this gene: Sp1, a TF frequently overexpressed in tumors, and the tumor suppressor p53. Here, we show that in WT cells, Sp1 binds KCASH2 promoter on several putative binding sites, leading to increase in KCASH2 expression. On the other hand, p53 is involved in negative regulation of KCASH2. In this context, the balance between p53 and Sp1 expression, and the interplay between these two proteins determine whether Sp1 acts as an activator or a repressor of KCASH2 transcription. Indeed, in p53–/– MEF and p53 mutated tumor cells, we hypothesize that Sp1 drives promoter methylation through increased expression of the DNA methyltransferase 1 (DNMT1) and reduces KCASH2 transcription, which can be reversed by Sp1 inhibition or use of demethylating agents. We suggest therefore that downregulation of KCASH2 expression in tumors could be mediated by gain of Sp1 activity and epigenetic silencing events in cells where p53 functionality is lost. This work may open new venues for novel therapeutic multidrug approaches in the treatment of Hh-dependent tumors carrying p53 deficiency.
Prenatal and Intrapartum Factors Associated With Infant Temperament: A Systematic Review

Background: Temperament involves individual variations in behavioural tendencies of emotional responses and reactions to stimuli after birth. Because ‘foetal programming' is a strong hypothesis in developing temperament, prenatal and intrapartum factors may be significant determinants of infant temperament. This systematic literature review aims to elucidate the evidence of prenatal and intrapartum predictors, including genetic, biological, environmental, socio-demographic, psychological, and obstetric factors of parents and their child. Methods: Relevant articles were searched using MEDLINE, PubMed, and SCOPUS. The inclusion criteria were (a) original research article, (b) written in English, (c) assessed the temperament of infants 12 months old or younger as an outcome variable, and (d) investigated prenatal and intrapartum factorial variables of infant temperament. Following the PRISMA guideline, the articles found in the three databases were screened and selected according to the inclusion and exclusion criteria before the final review. Results: Finally, 35 articles were reviewed. This systematic review identified a variety of prenatal and intrapartum factors that were significantly associated with infant temperament: (1) genetic and biological factors: certain genotypes, maternal cortisol and ACTH, and CRHs, (2) environmental factors: substance use such as tobacco, alcohol, and illegal drugs, (3) socio-demographic factor: lower-income, (4) psychological factors: depression or anxiety, eating disorders, personality types of mothers, and domestic violence, and (5) obstetric factors: foetal growth (birth weight), hypertension in mothers, nausea (emesis), and preterm birth. Conclusion: The findings support gene-environment interaction and biological mechanisms for developing infant temperament, suggesting the importance of ensuring a safe and comfortable environment for pregnant mothers, unborn infants, and families during pregnancy and delivery.
The Role of Blinks, Microsaccades and their Retinal Consequences in Bistable Motion Perception

Eye-related movements such as blinks and microsaccades are modulated during bistable perceptual tasks. However, if they play an active role during internal perceptual switches is not known. We conducted two experiments involving an ambiguous plaid stimulus, wherein participants were asked to continuously report their percept, which could consist of either unidirectional coherent or bidirectional component movement. Our main results show that blinks and microsaccades did not facilitate perceptual switches. On the contrary, a reduction in eye movements preceded the perceptual switch. Blanks, on the other hand, thought to mimic the retinal consequences of a blink, consistently led to a switch. Through the timing of the blank-introduced perceptual change, we were able to estimate the delay between the internal switch and the response. This delay further allowed us to evaluate that the reduction in blink probability co-occurred with the internal perceptual switch. Additionally, our results indicate that distinct internal processes underlie the switch to coherent vs. component percept. Blanks exclusively facilitated a switch to the coherent percept, and only the switch to coherent percept was followed by an increase in blink rate. In a second study, we largely replicated the findings and included a microsaccade analysis. Microsaccades only showed a weak relation with perceptual switches, but their direction was correlated with the perceived motion direction. Nevertheless, our data suggests an interaction between microsaccades and blinks by showing that microsaccades were differently modulated around blinks compared with blanks. This study shows that a reduction in eye movements precedes internal perceptual switches indicating that the rate of blinks can set the stage for a reinterpretation of sensory input. While a perceptual switch based on changed sensory input usually leads to an increase in blink rate, such an increase was only present after the perceptual switch to coherent motion but absent after the switch to component percept. This provides evidence of different underlying mechanism or internal consequence of the two perceptual switches and suggests that blinks can uncover differences in internal percept-related processes that are not evident from the percept itself.
A Unique Junctional Interface at Contact Sites Between the Endoplasmic Reticulum and Lipid Droplets

Lipid droplets (LDs) constitute compartments dedicated to the storage of metabolic energy in the form of neutral lipids. LDs originate from the endoplasmic reticulum (ER) with which they maintain close contact throughout their life cycle. These ER–LD junctions facilitate the exchange of both proteins and lipids between these two compartments. In recent years, proteins that are important for the proper formation of LDs and localize to ER–LD junctions have been identified. This junction is unique as it is generally believed to invoke a transition from the ER bilayer membrane to a lipid monolayer that delineates LDs. Proper formation of this junction requires the ordered assembly of proteins and lipids at specialized ER subdomains. Without such a well-ordered assembly of LD biogenesis factors, neutral lipids are synthesized throughout the ER membrane, resulting in the formation of aberrant LDs. Such ectopically formed LDs impact ER and lipid homeostasis, resulting in different types of lipid storage diseases. In response to starvation, the ER–LD junction recruits factors that tether the vacuole to these junctions to facilitate LD degradation. In addition, LDs maintain close contacts with peroxisomes and mitochondria for metabolic channeling of the released fatty acids toward beta-oxidation. In this review, we discuss the function of different components that ensure proper functioning of LD contact sites, their role in lipogenesis and lipolysis, and their relation to lipid storage diseases.
A Deep Learning Approach for Automatic Seizure Detection in Children With Epilepsy

Over the last few decades, electroencephalogram (EEG) has become one of the most vital tools used by physicians to diagnose several neurological disorders of the human brain and, in particular, to detect seizures. Because of its peculiar nature, the consequent impact of epileptic seizures on the quality of life of patients made the precise diagnosis of epilepsy extremely essential. Therefore, this article proposes a novel deep-learning approach for detecting seizures in pediatric patients based on the classification of raw multichannel EEG signal recordings that are minimally pre-processed. The new approach takes advantage of the automatic feature learning capabilities of a two-dimensional deep convolution autoencoder (2D-DCAE) linked to a neural network-based classifier to form a unified system that is trained in a supervised way to achieve the best classification accuracy between the ictal and interictal brain state signals. For testing and evaluating our approach, two models were designed and assessed using three different EEG data segment lengths and a 10-fold cross-validation scheme. Based on five evaluation metrics, the best performing model was a supervised deep convolutional autoencoder (SDCAE) model that uses a bidirectional long short-term memory (Bi-LSTM) – based classifier, and EEG segment length of 4 s. Using the public dataset collected from the Children’s Hospital Boston (CHB) and the Massachusetts Institute of Technology (MIT), this model has obtained 98.79 ± 0.53% accuracy, 98.72 ± 0.77% sensitivity, 98.86 ± 0.53% specificity, 98.86 ± 0.53% precision, and an F1-score of 98.79 ± 0.53%, respectively. Based on these results, our new approach was able to present one of the most effective seizure detection methods compared to other existing state-of-the-art methods applied to the same dataset.
A Cable-Driven Three-DOF Wrist Rehabilitation Exoskeleton With Improved Performance

This paper developed a cable-driven three-degree-of-freedom (DOF) wrist rehabilitation exoskeleton actuated by the distributed active semi-active (DASA) system. Compared with the conventional cable-driven robots, the workspace of this robot is increased greatly by adding the rotating compensation mechanism and by optimizing the distribution of the cable attachment points. In the meanwhile, the efficiency of the cable tension is improved, and the parasitic force (the force acting on the joint along the limb) is reduced. Besides, in order to reduce the effects of compliant elements (e.g., cables or Bowden cables) between the actuators and output, and to improve the force bandwidth, we designed the DASA system composed of one geared DC motor and four magnetorheological (MR) clutches, which has low output inertia. A fast unbinding strategy is presented to ensure safety in abnormal conditions. A passive training algorithm and an assist-as-needed (AAN) algorithm were implemented to control the exoskeleton. Several experiments were conducted on both healthy and impaired subjects to test the performance and effectiveness of the proposed system for rehabilitation. The results show that the system can meet the needs of rehabilitation training for workspace and force-feedback, and provide efficient active and passive training.
GAP: Born to Break Hiding

Recently, Machine Learning (ML) is widely investigated in the side-channel analysis (SCA) community. As an artiﬁcial neural network can extract the feature without preprocessing, ML-based SCA methods relatively less rely on the attacker’s ability. Consequently, they outperform traditional methods. Hiding is a countermeasure against SCA that randomizes the moments of manipulating sensitive data. Since hiding could disturb the neural network’s learning, an attacker should design a proper architecture against hiding. In this paper, we propose inherently robust architecture against every kind of desynchronization. We demonstrated the proposed method with plenty of datasets, including open datasets. As a result, our method outperforms state-of-the-art on every dataset.
A Resource Binding Approach to Logic Obfuscation

Logic locking has been proposed to counter security threats during IC fabrication. Such an approach restricts unauthorized use by injecting sufficient module level error to derail application level IC functionality. However, recent research has identified a trade-off between the error rate of logic locking and its resilience to a Boolean satisfiablity (SAT) attack. As a result, logic locking often cannot inject sufficient error to impact an IC while maintaining SAT resilience. In this work, we propose using architectural context available during resource binding to co-design architectures and locking configurations capable of high corruption and SAT resilience simultaneously. To do so, we propose 2 security-focused binding/locking algorithms and apply them to bind/lock 11 MediaBench benchmarks. The resulting circuits showed a 26x and 99x increase in the application errors of a fixed locking configuration while maintaining SAT resilience and incurring minimal overhead compared to other binding schemes. Locking applied post-binding could not achieve a high application error rate and SAT resilience simultaneously.
Towards Practical and Round-Optimal Lattice-Based Threshold and Blind Signatures

Threshold and blind signature schemes have found numerous applications in cryptocurrencies, e-cash, e-voting and other privacy-preserving technologies. In this work, we make advances in bringing lattice-based constructions for these primitives closer to practice. 1. Threshold Signatures. For round optimal threshold signatures, we improve the only known construction by Boneh et al [CRYPTO’18] as follows: • Efficiency. We reduce the amount of noise flooding from 2 down to √ QS , where QS is the bound on the number of generated signatures and λ is the security parameter. By using lattice hardness assumptions over polynomial rings, this allows to decrease signature bit-lengths from Õ(λ) to Õ(λ). • Towards Adaptive Security. The construction of Boneh et al satisfies only selective security, where all the corrupted parties must be announced before any signing queries are made. We improve this in two ways: in the ROM, we obtain partial adaptivity where signing queries can be made before the corrupted parties are announced but the set of corrupted parties must be announced all at once. In the standard model, we obtain full adaptivity, where parties can be corrupted at any time but this construction is in a weaker pre-processing model where signers must be provided correlated randomness of length proportional to the number of signatures, in an offline pre-processing phase. 2. Blind Signatures. For blind signatures, we improve the state of art lattice-based construction by Hauck et al [CRYPTO’20] as follows: • Round Complexity. We improve the round complexity from three to two – this is optimal. • Efficiency. Again, we reduce the amount of noise flooding from 2 down to √ QS , where QS is the bound on the number of signatures and λ is the security parameter. • Number of Signing Queries. Unlike the scheme from Hauck et al, our construction enjoys a proof that is not restricted to a polylogarithmic number of signatures. Using lattice hardness assumptions over rings, we obtain signatures of bit-lengths bounded as Õ(λ). In contrast, the signature bit-length in the scheme from Hauck et al is Ω(λ +QS · λ). Concretely, we can obtain blind/threshold signatures of size ≈ 3 KB using a variant of Dilithium-G with ≈ 128 bit-security, for adversaries limited to getting 256 signatures. In contrast, parameters provided by Hauck et al lead to blind signatures of ≈ 7.73 MB, for adversaries limited to getting 7 signatures, while concrete parameters are not provided for the construction of threshold signatures by Boneh et al. IIT Madras, shweta.a@cse.iitm. ac.in. ENS de Lyon and Institut Universitaire de France, damien.stehle@ens-lyon.fr. IIT Madras, anshu.yadav06@gmail.com
Electrical characteristics of zinc oxide-copper oxide heterojunction at different illumination intensities

The current-voltage characteristics of copper oxide (CuO) - zinc oxide (ZnO) heterojunctions under different illumination intensities were observed in this study. ZnO and CuO films were deposited on separate graphite electrodes via electrophoretic deposition (EPD). The films underwent heat treatment and were physically joined to form the p-n junction. The current-voltage characteristics of the junctions were obtained under forward and reverse bias under different illumination intensities. It was observed that the ZnO-CuO junctions exhibited diode-like behavior in the dark, indicated by the passing of current in forward bias and restricting in reverse bias. Under illumination, the junctions exhibited photodiode-like behavior, with increasing reverse current at greater illumination intensities.
One Dimensional Model of Thermoresistive Micro Calorimetric Flow (TMCF) Sensors for Gases and Liquids Considering Prandtl Number Effect

To design an integrated thermoresistive micro calorimetric flow (TMCF) sensor for gases and liquids, it is essential to develop a compact analytical model as a function of Prandtl number (Pr). In this paper, we present a simple one-dimensional (1D) model of a thin film based TMCF sensor for different fluids. The proposed model, validated by the CFD simulations and experimental data, is used for systematically studying the effect of key design parameters on the sensor performance. The normalized 1D model can be applied to the system-level design of TMCF sensors for different types of fluids.
Natural lipids in nanostructured lipid carriers and its cytotoxicity

Nanostructured lipid carriers (NLCs) are active carrier systems which modulate the sustained release of actives and protect unstable compounds against degradation. NLCs can also protect skin from sun light, due to its particulates nature, which gives them intrinsic scattering properties. In this work, we present the preparation of NLCs using natural lipids and its cytotoxicity profile. It was used a vegetal butter with melting point (m.p.) ~32-40°C, an animal wax (m.p. 35-40°C) and a vegetal oil (boiling point ~120-150°C). NLCs were prepared by hot high pressure homogenization method and particles were characterized by average size (Zave), polydispersity index (PDI) and zeta potential (PZ) (Fig.1). The thermal behavior of the NLCs was studied using Differential Scanning Calorimetry (DSC). All the formulations were followed up for 60 days in order to evaluate their stability. NLCs exhibited a Zave around 150-200 nm, PDI less than 0.2 and PZ varying from −25 to −40 mV. The m.p. for the lyophilized NLCs was about 40-56°C. Cytotoxicity of the formulations were evaluated for human keratinocytes (HaCaT) and melanocytes (Melan-A) in the exponential growth phase. Cell viability was used as indicator of cytotoxicity and determined after 4 days of culture by MTT assay. It was found that the NLC formulations were not toxic against HaCaT and Melan-A cells. Results showed that the NLCs produced are potential carriers for nanocosmetics and sunscreen products.
Filler's impact on structure and physical properties in polyester resin–oxide nanocomposites

Impact of nanosized oxide particles of titania (titanium dioxide, rutile) and silica–titania fumed compound on structure relaxation processes in nanocomposites of an orthophtalic unsaturated styrene cross-linked polyester resin has been experimentally studied using the thermal desorption mass spectroscopy, the dielectric spectroscopy, and the positron annihilation lifetime spectroscopy. All the nanocomposites showed unmonotonous variations in the thermal resistance, the dielectric permittivity and losses, and the annihilation rates for both positrons and ortho-positronium atoms with increasing filler’s loading. The nanoparticle-loading effects can be explained on the assumption that the oxide particles embedded into a cross-linked polyester resin induce rearrangements in its structure. Several mechanisms of particle–polymer interface interaction compete simultaneously and thus promote the alterations in molecular structure of the nanocomposites. The mechanisms may include both chemical and electrostatic fastening of polyester chains and styrene cross-links to the active surface sites, the destruction of the styrene cross-links, and redistribution of electron density in polymers. The features of the loading effects observed in the different nanocomposites can be ascribed to distinctions in both of active surface sites and intrinsic dielectric properties of the filling oxide particles.
The Exposure Profiles, Correlation Factors and Comparison of PAHs and Nitro-PAHs in Urban and Non-Urban Regions in Suspended Particulate Matter in Poland

ABSTRACT Polycyclic aromatic hydrocarbons (PAHs) and their nitrated derivatives are responsible for mutagenic activation of ambient air. The aim of the study was the assessment of exposure for PAHs and nitro-PAHs in the urbanized region in Poland in comparison with the non-urbanized region and assessment of seasonal variation of PAHs and nitro-PAHs. Concentrations of 12 PAHs, 8 nitrated PAHs in total suspended particulate matter in air of urban and suburban (reference samples-mountain region) region in Poland during four seasons have been shown. The method of solvent extraction of particulate matter, fractionation organic extract and HPLC and GC/MS analysis were applied. The concentrations of PAHs and nitro-PAHs were 10–100 times lower in reference samples than concentrations of PAHs and nitro-PAHs in urban region in summer. The concentrations of PAHs and nitro-PAHs were highest in winter. The exposure profiles of PAHs and nitro-PAHs in four seasons have been shown. The correlation factor between concentrations of PAHs and nitro-PAHs was found. Important influence of ambient air temperature for PAHs and nitro-PAHs concentrations was shown. Obtained results suggest that the coal combustion in Polish households was the main source of PAHs and their nitro derivatives contaminations. Emission from transport sources is a secondary source of air pollution in urban areas.