Miracle-dz/UniFAR-FTUs huggingface dataset:
Mild Behavioral Impairment Is Associated With Atrophy of Entorhinal Cortex and Hippocampus in a Memory Clinic Cohort

Objectives Mild behavioral impairment (MBI) is a syndrome describing late-onset persistent neuropsychiatric symptoms (NPS) in non-demented older adults. Few studies to date have investigated the associations of MBI with structural brain changes. Our aim was to explore structural correlates of NPS in a non-demented memory clinic sample using the Mild Behavioral Impairment Checklist (MBI-C) that has been developed to measure MBI. Methods One hundred sixteen non-demented older adults from the Czech Brain Aging Study with subjective cognitive concerns were classified as subjective cognitive decline (n = 37) or mild cognitive impairment (n = 79). Participants underwent neurological and neuropsychological examinations and brain magnetic resonance imaging (MRI) (1.5 T). The Czech version of the MBI-C was administered to participants’ informants. Five a priori selected brain regions were measured, namely, thicknesses of the orbitofrontal cortex (OFC), anterior cingulate cortex (ACC), posterior cingulate cortex (PCC), and entorhinal cortex (ERC) and volume of the hippocampus (HV), and correlated with MBI-C total and domain scores. Results Entorhinal cortex was associated with MBI-C total score (rS = −0.368, p < 0.001) and with impulse dyscontrol score (rS = −0.284, p = 0.002). HV was associated with decreased motivation (rS = −0.248, p = 0.008) and impulse dyscontrol score (rS = −0.240, p = 0.011). Conclusion Neuropsychiatric symptoms, particularly in the MBI impulse dyscontrol and motivation domains, are associated with medial temporal lobe atrophy in a clinical cohort of non-demented older adults. This study supports earlier involvement of temporal rather than frontal regions in NPS manifestation. Since these regions are typically affected early in the course of Alzheimer’s disease (AD), the MBI-C may potentially help further identify individuals at-risk of developing AD dementia.
Deep Graph Learning for Circuit Deobfuscation

Circuit obfuscation is a recently proposed defense mechanism to protect the intellectual property (IP) of digital integrated circuits (ICs) from reverse engineering. There have been effective schemes, such as satisfiability (SAT)-checking based attacks that can potentially decrypt obfuscated circuits, which is called deobfuscation. Deobfuscation runtime could be days or years, depending on the layouts of the obfuscated ICs. Hence, accurately pre-estimating the deobfuscation runtime within a reasonable amount of time is crucial for IC designers to optimize their defense. However, it is challenging due to (1) the complexity of graph-structured circuit; (2) the varying-size topology of obfuscated circuits; (3) requirement on efficiency for deobfuscation method. This study proposes a framework that predicts the deobfuscation runtime based on graph deep learning techniques to address the challenges mentioned above. A conjunctive normal form (CNF) bipartite graph is utilized to characterize the complexity of this SAT problem by analyzing the SAT attack method. Multi-order information of the graph matrix is designed to identify the essential features and reduce the computational cost. To overcome the difficulty in capturing the dynamic size of the CNF graph, an energy-based kernel is proposed to aggregate dynamic features into an identical vector space. Then, we designed a framework, Deep Survival Analysis with Graph (DSAG), which integrates energy-based layers and predicts runtime inspired by censored regression in survival analysis. Integrating uncensored data with censored data, the proposed model improves the standard regression significantly. DSAG is an end-to-end framework that can automatically extract the determinant features for deobfuscation runtime. Extensive experiments on benchmarks demonstrate its effectiveness and efficiency.
Editorial Highlights on Environmental Water Pollution

Journal of Environmental and analytical Toxicology commemorates its decade long service to the scientific community by consistently publishing peer-reviewed articles and tracking the progress and significant advancements in the field of oral health. Ever since its inception in the year 2010, in addition to regular issue releases on a quarterly basis, this trans disciplinary journal is also releasing special issues and conference proceedings from time to time, thus comprehensively covering a wide range of topics and emerging challenges in environmental related problems to explore advanced research areas within this field. The journal focuses on application oriented research on harmful effects of various chemical, biological, and physical agents on individual living organisms. The Journal, Environmental & Analytical Toxicology is of highest standards in terms of quality. In this issue some of the recent and impactful research articles that were published by the journal will be discussed.
Crecimiento, características de carcasa, peso de órganos internos y composición proximal de carne de seis

This study examined the growth, carcass characteristics, weight of internal organs, meat quality and meat proximate composition in six genotypes of chickens reared in Andean region of northern Peruvian, with intensive system, using 600 chickens one-day-old, divided in to six equally sized groups. The comparison included two Creole chicken breeds from Peru, improved and pure, and four imported chicken strains (Hubbard Red, Hubbard White, Native French, and Babcock). The animals were fed without restriction and slaughtered 13 weeks of age. Chickens of the imported strains, especially Hubbard chickens were heavier at slaughter than creoles breeds. Proportions of cuts: thigh, drumstick and head were similar among genotypes, carcass yield, breast meat and abdominal fat were lowest in the Creole breed and Native French. There were no statistical differences (p > 0.05) for meat pH, drip loss, and cooking loss in response to genotype. The breast meat of the two Creole breeds had lower contents of fat compared with that of the Hubbard strains.
On the Use of Viewpoint Neighborhoods for Dynamic Graph Analysis

Recent innovations have resulted in a plethora of social applications on the Web, such as blogs, social networks, and community photo and video sharing applications. Such applications can typically be represented as evolving interaction graphs with nodes denoting entities and edges representing their interactions. The study of entities and communities and how they evolve in such large dynamic graphs is both important and challenging. While
SciSD: Novel Subgroup Discovery Over Scientiﬁc Datasets Using Bitmap Indices

Subgroup discovery is a broadly applicable exploratory technique, which identiﬁes interesting subgroups with respect to a property of interest. While there is clearly a need to apply this method to discover interesting patterns from scientiﬁc datasets comprising large-scale arrays, the existing algorithms primarily apply to relational datasets. In this paper, we present a novel algorithm, SciSD, for exhaustive but efﬁcient subgroup discovery over array-based sci-entiﬁc datasets, in which all attributes are numeric. Our algorithm handles a key challenge associated with array data, which is that a subgroup identiﬁed over array data can be described based on value-based and/or dimension-based attributes. To reduce the computational costs, our SciSD algorithm extensively uses bitmap indices (and fast bitwise operations on them). We demonstrate both high efﬁciency and effectiveness of our algorithm by using multiple real-life datasets.
Allosterically Regulated Transcriptional Activator for Mammalian Cells

repressor was converted into a mammalian transcriptional activator by modifying the lac repressor coding region to include a nuclear localization signal from the simian vhrus 40 (SV40) large tumor antigen and the transcription activation domain from the herpes simplex virus type 1 virion protein 16. The lc activator protein (LAP) fusions were potent activators of several promoters containing lac operator sequences positioned either upstream or downstream of the transcription unit. A single lac operator allowed for transactivation, whereas multiple operators acted synergistically when separated by a small distance. Promoters containing 14 or 21 operator sequences were induced at least 1,000-fold in response to LAP, reaching levels of activity 20 to 30 times greater than that of the SV40 early promoter in HeLa cells. Activation was strongly inhibited by isopropyl-p-D-thiogalactoside (IPITG), indicating that LAP retained the functions needed for allosteric regulation. LAP was bifunctional, also acting as a repressor of expression of an SV40 promoter containing an operator immediately downstream of the TATA box. Finally, genetic selection schemes were developed such that LAP-expressing cell lines can be generated at high frequency from either established or primary cells in culture.
A Smart Walker for People with Both Visual and Mobility Impairment

In recent years, significant work has been done in technological enhancements for mobility aids (smart walkers). However, most of this work does not cover the millions of people who have both mobility and visual impairments. In this paper, we design and study four different configurations of smart walkers that are specifically targeted to the needs of this population. We investigated different sensing technologies (ultrasound-based, infrared depth cameras and RGB cameras with advanced computer vision processing), software configurations, and user interface modalities (haptic and audio signal based). Our experiments show that there are several engineering choices that can be used in the design of such assistive devices. Furthermore, we found that a holistic evaluation of the end-to-end performance of the systems is necessary, as the quality of the user interface often has a larger impact on the overall performance than increases in the sensing accuracy beyond a certain point.
The Study on Some Important Medicinal Plant

Medicinal plants have been used in virtually all cultures as a source of medicine. The widespread use of herbal remedies and healthcare preparations is described in the Vedas and the Bible. Medicinal Plants have been used for thousands of years to flavour and conserve food, to treat health disorders and to prevent diseases. Awareness of medicinal plants usage is a result of the many years of struggles against illnesses due to which man learned to pursue drugs in barks, seeds, fruit bodies, and other parts of the plants. Active compounds produced during secondary metabolism are usually responsible for the biological properties of plant species used throughout the globe for various purposes, including treatment of infectious diseases. The microbial growth in diverse situations is controlled by plant derived products. Almost every portion of the plant has own medicinal properties. The traditional medicinal uses of some plants species belonging to different families and general overview of the medicinal plants are reported in this review article.
Facile Preparation of Cu/TiO2 Nanocomposite via Photocatalysis and their Antibacterial Performance

Cu/TiO2 nanocomposite was first prepared by photocatalytic reduction according to optimal processing condition selected via orthogonal test: 2.0% of glucose, 0.25% of TiO2, 0.3% of CuCl 2 and reaction time of 12 h. Multiple characterization methods were utilized to confirm the structure of Cu/TiO2 nanocomposite, and its antibacterial property against Escherichia coli (E.coli) was then investigated in detail. The obtained Cu/TiO2 (ca. 50 nm) was composed of elemental copper, TiO2 and a small amount of unreacted CuCl2. EDTA titration and XRF indicated that solid content of Cu was about 61.68%. Antibacterial test showed that the inhibition zone diameter of Cu/TiO2 with 1% solid content is 15.77 mm and the minimum bactericidal concentration (MBC) of which is 5 mg/mL. Furthermore, Cu/TiO2 (1.0 wt%) was added into a super-hydrophilic coating for the aluminum cooling fin of air conditioner. The antibacterial ability of the fin can be significantly improved without obvious changes of hydrophilicity, which can reach the national standard (grade I).
The Greedy Algorithm is \emph{not} Optimal for On-Line Edge Coloring

Nearly three decades ago, Bar-Noy, Motwani and Naor showed that no online edge-coloring algorithm can edge color a graph optimally. Indeed, their work, titled"the greedy algorithm is optimal for on-line edge coloring", shows that the competitive ratio of $2$ of the na\"ive greedy algorithm is best possible online. However, their lower bound required bounded-degree graphs, of maximum degree $\Delta = O(\log n)$, which prompted them to conjecture that better bounds are possible for higher-degree graphs. While progress has been made towards resolving this conjecture for restricted inputs and arrivals or for random arrival orders, an answer for fully general \emph{adversarial} arrivals remained elusive. We resolve this thirty-year-old conjecture in the affirmative, presenting a $(1.9+o(1))$-competitive online edge coloring algorithm for general graphs of degree $\Delta = \omega(\log n)$ under vertex arrivals. At the core of our results, and of possible independent interest, is a new online algorithm which rounds a fractional bipartite matching $x$ online under vertex arrivals, guaranteeing that each edge $e$ is matched with probability $(1/2+c)\cdot x_e$, for a constant $c>0.027$.
A New Corner Detection Operator for Multi-Spectral Images

Corner detection is a crucial image processing technique that has a wide range of application, including motion detection, image registration, video tracking, and object recognition. Most proposed approaches for corner detection are based on gray-scale images, despite it has been shown that color information can greatly improve the quality of corners detection. This paper aims to introduce a new operator that identifies the secondorder image information for multi-spectral images. The operator is developed using the multi-spectral gradient and differential structures of the image. Consequently, the eigenvectors of the proposed operator are used for detecting corners. A comparative study is conducted using synthetic and real images, and the result confirms that the proposed approach performs better compared with two other approaches for detecting corners. Keywords—Corner detection; multi-spectral; operator
A Study of the Lexical Complexity of Homogeneous Texts Using Stochastic Mo deling and Analysis

This paper takes a system dynamic approach to study homogeneous texts where the dynamics of the lexical richness of such texts over time are of the focal concern. It is hypothesized that the progress of the lexical complexity is driven by how far away this process is from the maximum level of complexity, while is subject to the fluctuations due to the dynamic nature of the system. It is shown that the lexical dynamics of homogeneous texts can be effectively modeled by a stochastic differential equation with proper upper bounds. The linguistic validity and the statistical goodness of the model are empirically tested with the texts of CGWR. Given the ubiquity of the diffusion phenomena in various settings of language and linguistic studies (e
Ecopharmacovigilance: An environment safety issue

Ecopharmacovigilance includes science and activities pertaining to detection, assessment, understanding and prevention of adverse effects or other problems related to the existence of pharmaceuticals in the environment. These pharmaceuticals come into the environment through a variety of routes causing harmful effects. Some important examples of drugs causing harmful effects on environment are that of vultures' death after consuming carcass of animals treated with Diclofenac sodium, Ethinyl estradiol adversely affecting fish through its "feminization" of males, Progesterone producing sterility in frogs, Ivermectin adversely affecting growth of dung beetle, Fluoxetin causing behavioral changes in shrimps and bacterial resistance. Some corrective measures can be projected to lessen the amount of drugs entering the environment which includes reducing the amount of pharmaceutical waste generated, increasing efficiency of sewage treatment plants, green pharmacy and developing better drug disposal programs. Various attempts have been made by regulatory authorities to reduce the impact of pharmaceuticals in environment and these include Environmental Risk Assessment (ERA) of drugs, Resource Conservation and Recovery Act (RCRA) and Risk Mitigation Measures. We need to monitor the effects of drugs not only as a good medical practice, but also to safeguard our environment.
First and Second Language at Hand: A Chronometric Transcranial-Magnetic Stimulation Study on Semantic and Motor Resonance

Abstract According to embodied theories, motor and language processing bidirectionally interact: Motor activation modulates behavior in lexico-semantic tasks (semantic resonance), and understanding motor-related words entails activation of the corresponding motor brain areas (motor resonance). Whereas many studies investigated such interaction in the first language (L1), only few did so in a second language (L2), focusing on motor resonance. Here, we directly compared L1 and a late L2, for the first time both in terms of semantic and motor resonance and both in terms of magnitude and timing, by taking advantage of single-pulse TMS. Twenty-five bilinguals judged, in each language, whether hand motor-related (“grasp”) and non-motor-related verbs (“believe”), were physical or mental. Meanwhile, we applied TMS on the hand motor cortex at 125, 275, 350, and 500 msec post verb onset, and recorded behavioral responses and TMS-induced motor evoked potentials. TMS induced faster responses for L1 versus L2 motor and nonmotor verbs at 125 msec (three-way interaction β = −0.0442, 95% CI [0.0814, −0.0070]), showing a semantic resonance effect at an early stage of word processing in L1 but not in L2. Concerning motor resonance, TMS-induced motor evoked potentials at 275 msec revealed higher motor cortex excitability for L2 versus L1 processing (two-way interaction β = 0.095, 95% CI [0.017, 0.173]). These findings confirm action–language interaction at early stages of word recognition, provide further evidence that L1 and L2 are differently embodied, and call for an update of existing models of bilingualism and embodiment, concerning both language representations and processing.
REMD: Racket Eradicate Mechanism Designed for On-line Operating Cost

: Credit and debit card data theft is one of the earliest forms of cybercrime. Still, it is one of the most common nowadays. Attackers often aim at stealing such customer data by targeting the Point of Sale (for short, PoS) system, i.e. the point at which a retailer first acquires customer data. Modern PoS systems are powerful computers equipped with a card reader and running specialized software. Increasingly often, user devices are leveraged as input to the PoS. In these scenarios, malware that can steal card data as soon as they are read by the device has flourished. As such, in cases where customer and vendor are persistently or intermittently disconnected from the network, no secure on-line payment is possible. This paper describes REMD, a secure off-line micro-payment solution that is resilient to PoS data breaches. Our solution improves over up to date approaches in terms of flexibility and security. To the best of our knowledge, REMD is the first solution that can provide secure fully off-line payments while being resilient to all currently known PoS breaches. In particular, we detail REMD architecture, components, and protocols. Further, a thorough analysis of REMD functional and security properties is provided, showing its effectiveness and viability.
Synthesis and characterization of Na/Li containing vanadium oxides

Our attempt to synthesize Na2V3O7 and LiVO3 by using template free modified solvothermal methods with ethylene glycol-water solvent system (EG:H2O; 2:1 v/v) followed by calcination at 500 C in air have resulted in the formation of NaV6O15 admixed with NaV3O8, phase pure NaV6O15 and Li0.6V1. 6O3.67. H2O. The compounds are being analyzed using P-XRD and FE-SEM. NaV6O15 crystallizes in the A2/m space group with a monoclinic crystal structure while Li0.6V1. 6O3.67. H2O crystallizes in the I4/mmm space group with a tetragonal crystal structure. Refined lattice parameters of NaV6O15 are a = 10.151(5), b = 3.606(2), c = 15.581(1) Å, β = 109.45 and Li0.6V1. 6O3.67. H2O are a = 3.712(1), c = 15.96(1) Å. The phase pure NaV6O15 and NaV3O8 admixed NaV6O15 have rod shaped morphology with an average length of 7 μm and diameter of 0.5 μm.
Depression and behavior problems among children residing at welfare hostels and orphanages

Context: Childhood-onset of depression is often associated with childhood family adversity, parental neglect, and problematic peer relationships. Emotional and behavioral problems and high rates of depression were more common in orphans when compared to nonorphan. Aim: The aim was to study and compare the depression and behavioral problems among children residing at welfare hostels and orphanages. Materials and Methods: This study is a cross-sectional and descriptive study. Three welfare hostels and four orphanages run by nongovernment organizations were approached, and children between the ages of six and fourteen were recruited. Children residing at home were taken as controls. Children's Depression Rating Scale and Rutter's Behavior Scale for Children were applied to assess depression and behavioral problems, respectively. Statistical Analysis Used: Statistical analysis was done using Epi Info software. Results: Depression is found to a greater extent among children in the orphanages' group than in the welfare group. Rutter's score ≥9 was observed in 15%, 8.3%, and 5% of children in the welfare hostels' group, orphanages' group, and controls' group, respectively. Conclusions: The prevalence of depression is found to be more among orphanage children, followed by children residing at welfare hostels compared to the control group. Behavior problems are more among children residing at welfare hostels than children residing at orphanages.
HOODESolver.jl: A Julia package for highly oscillatory problems

Highly oscillatory ordinary differential equations (ODEs) have a long history since they are ubiquitous to describe dynamical multi-scale physical phenomena in physics or chemistry. They can be obtained by an appropriate spatial discretization of partial differential equations or can directly describe the behavior of dynamical quantities. In addition to the standard difficulties relating to their numerical resolution, highly oscillatory ODEs involve a stiffness (characterized by a parameter ε ∈ ]0, 1]) which gives rise to high oscillations in the solution. Hence, to capture these small scales (or high oscillations), conventional methods have to consider a time step smaller than ε leading to unacceptable computational cost.