Miracle-dz/UniFAR-FTUs huggingface dataset:
SECURING INTERNET OF THINGS DEVICES USING CONTAINERS

Internet of Things (IoT) is enhancing the way in which humans co-exist with machines and stresses each field of computer science due to its prolific nature. There are billions of devices that are getting on boarded and its exponentially growing year on year [1], which demands the best Quality of Service (QoS) and tight security requirements. Security takes prime importance when it comes to IoT since huge amount of personal data is being exposed via each device that gets on boarded to the internet and it is an important topic of research [2]. Security in the era of IoT should come in simple form but without compromising on highest possible quality. Edge computing or fog computing [3] is getting popularity because of IoT and the traditional or legacy technologies should be enhanced to cope up with the devices that get deployed on the edge. Containerization is the new light weight virtualization [4] which could be applied to any computing device. This paper discusses the use of containerization on edge computing devices to enhance security of the IoT devices. The edge devices provide more than one service as part of the IoT ecosystem and they are an important piece to enable QoS guarantees in the demanding IoT scenario. We will explore an architecture that can be used by Original Equipment Manufacturers (OEM) and other device vendors in order to enhance security of these IoT devices using containerization. Key words-internet of things, iot, containers, security, edge computing, fog computing, device
The Effect of Age and Exposure in the Development of L2 Accent Perception

This study explored the effect of age and exposure on the perception of foreign accented speech. Students of different ages (nine years old and fifteen years old) listened to short sentences read by Cantonese speakers, answered them as either true or false, and rated them for ease of comprehension (comprehensibility) and degree of accentedness. A language background questionnaire was used to determine the extent of students’ exposure to foreign accented speech. Overall, there were differences in actual ability to understand the utterances, with older listeners performing better than younger listeners, but no significant differences emerged in the comprehensibility and accentedness ratings. Exposure did not significantly affect either listeners’ ability to understand or their perceptions of comprehensibility and accentedness. The implications of this study for research on the development of accent perception are discussed, along with suggestions for future research. Scovel (1977) defined accent as “phonological cues, either segmental or suprasegmental, which identify the speaker as a non-native user of the language” (p. 38). He further pointed out that “the recognition of this phonological non-nativeness is usually immediate and based on a small speech corpus” (p. 38), which is supported by a number of studies (e.g., Flege, 1984; Major, 2007). Flege (1984) demonstrated that people can detect a foreign accent in as little as 0.03 seconds, while Major (2007) showed that people can recognize a foreign accent in an unfamiliar language. Furthermore, Munro, Derwing, and Burgess (2010) determined that listeners can detect an accent even in speech played backward. Accent is just one dimension of pronunciation; both comprehensibility, or ease of understanding, and intelligibility, the extent that one actually understands an utterance, have also been studied. Most of these studies have used adults’ perceptions of accent (e.g., Munro & Derwing, 1995a, 1995b; Derwing & Munro, 1997; Hahn, 2004); very few studies have examined
The 2017 tomato policy: assessing the impact of tomato paste production on Nigeria’s freshwater

The overall goal of the 2017 Nigeria tomato policy is to boost the local production of fresh tomatoes, stop importation, and enhance the domestic production of tomato paste. However, from the water perspective, the impact of tomato paste (double concentrate) production on Nigeria’s freshwater resources remains unclear. Using the water footprint-resource sustainability calculation method, results showedthat the pressure exerted by tomato paste production amounted to 1518in the Lower Niger (LN) drainage basin and 1734 m/t in the Lake Chad (LC) drainage basin. Converting 60 per cent of the fresh tomatoes to tomato pastewill consume about 8per cent of the freshwater of the LN drainage basin per annum or 59per cent of that of LC. This is after accounting for the presumed minimum environmental flow requirement. With over 20 per cent usage, tomato paste production in the LC drainage basin in Nigeria is capable of contributing to freshwater scarcity. To reduce the impact of tomato paste production on Nigeria’s freshwater, improvementson tomato yield are suggested.
Toxic Elements in Dried Milk and Evaluation of their Dietary Intake in Infant Formula

Infants feeding patterns are important for development and growth; therefore babies are very sensitive to toxic elements, mainly through their food, so in the present study, the concentrations and daily intake of some Toxic Elements (TEs); Lead (Pb), Arsenic (As), Cadmium (Cd), Mercury (Hg) and Aluminum (Al) were measured in different and random 60 dried infant foods {30 infant formula (0-6 months) and 30 milk-cereal based infant formula (6 months)} which obtained from various supermarkets and pharmacies. The analysis was done using Inductive Coupled Plasma Mass Spectrometer (ICP-MS). It could be determined the lead, arsenic, cadmium, mercury and aluminum by mean values of 0.424±0.006, 0.205±0.003, 0.014±0.0001, 0.298±0.007 and 0.464±0.029 mg/kg in the examined infant milk formula samples and a ranged minimum to maximum concentrations of 0.114-0.177, 0.1550. 293, 0.014-0.015, 0.282-0.310 and 0.287-0.437mg/kg, respectively in the examined milk-cereal based infant formula. Present study indicates that, the greater level of contamination of examined infant formula samples with toxic elements (lead and mercury) surpasses the maximum limit and Provisional Tolerable Daily Intake (PTDI) of these elements. Mercury is over PTDI (0.0005 mg/kg bwt/day) in all milk-cereal based infant formula samples, also arsenic in all examined samples of this type of formula was exceed the maximum limit (0.05 mg/kg) of Indian standard. This investigation shows such types of infant formula need more amendment to set limit of more toxic metals for this sensitive group of population.
A Case Study on Document Classification Using SVM

The need of automatic classification of text has become very crucial with the rampant growth in the amount of information available in today’s world of fast digitization. Text classification (also called text categorization) is the process of classifying documents into pre-defined categories. A number of techniques have been devised over the ages for text classification. One such technique for text categorization is Support Vector Machine (SVM). SVMs are binary classifiers which classifies text into exactly two categories. Many researchers have found that SVM works reasonably well. In this paper, this technique is used for classifying a set of documents. Five models have been created from five different domains and data from each domain are classified using these models and the accuracy is recorded. © 2013 Elixir All rights reserved. Elixir Comp. Sci. & Engg. 61 (2013) 16769-16772 Computer Science and Engineering Available online at www.elixirpublishers. com (Elixir International Journal)
Emotion Classification and Emoji Mapping using Convolutional Neural Network

1Professor, Dept. of Comp. Engg. , M. H. Saboo Siddik College of Engineering, Mumbai, Maharashtra, India 2-4Student, Dept. of Comp. Engg. , M. H. Saboo Siddik College of Engineering, Mumbai, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract In this paper, we suggest an implementation of a convolutional neural network (CNN) to classify emotion and map emoji to the classified emotion. We validate our models through growing a real-time vision machine which accomplishes the responsibilities of face detection, emotion classification and emoji mapping simultaneously in a single mixed step using our proposed CNN architecture. After presenting the information of the training procedure setup we maintain to evaluate on standard benchmark sets. We record accuracy of 62% withinside the FER-2013 emotion dataset. We argue that the careful implementation of cutting-edge CNN architectures, using the cutting-edge regularization strategies and the visualization of previously hidden features are important for you to reduce the space amongst slow performances and real-time architectures
Effects of integrated economic and health interventions with women’s groups on health-related knowledge, behaviours and outcomes in low-income and middle-income countries: a systematic review protocol

Introduction Economic groups, such as microfinance or self-help groups are widely implemented in low-income and middle-income countries (LMICs). Women’s groups are voluntary groups, which aim to improve the well-being of members through activities, such as joint savings, credit, livelihoods development and/or health activities. Health interventions are increasingly added on to existing women’s economic groups as a public health intervention for women and their families. Here, we present the protocol for a mixed-methods systematic review we will conduct of the evidence on integrated economic and health interventions on women’s groups to assess whether and how they improve health-related knowledge, behaviour and outcomes in LMICs. Methods and analysis We will search seven electronic databases for published literature, along with manual searches and consultation. The review will include (1) randomised trials and non-randomised quasiexperimental studies of intervention effects of integrated economic and health interventions delivered through women’s groups in LMICs, and (2) sibling studies that examine factors related to intervention content, context, implementation processes and costs. We will appraise risk of bias and study quality using standard tools. High and moderate quality studies will be grouped by health domain and synthesised without meta-analysis. Qualitative evidence will be thematically synthesised and integrated into the quantitative synthesis using a matrix approach. Ethics and dissemination This protocol was reviewed and deemed exempt by the institutional review board at the American Institutes for Research. Findings will be shared through peer-reviewed publication and disseminated with programme implementers and policymakers engaged with women’s groups. PROSPERO registration number CRD42020199998.
Effects of exogenous ascorbic acid on the mycelia growth and primordia formation of Pleurotus ostreatus

Primordia formation is the first and most critical step in the development of fruiting bodies of edible fungi. In this study, the effects of exogenous ascorbic acid (ASA) on the Pleurotus ostreatus mycelia growth and primordia formation were researched and the results showed that the growth rate of P. ostreatus mycelia was accelerated and the time of primordia formation was advanced. The protein content and ascorbate oxidase (AAO) activity analysis showed that with the increase of ASA concentration, the protein content of mycelia first decreased and then increased, and in a certain concentration range, exogenous ASA could significantly promote the activity of AAO. Further expression analysis of the development regulating genes (Pofst3 and Pofst4) as well as blue light receptor coding genes (PoWC‐1 and PoWC‐2) showed the expression levels of those four genes all changed after the exogenous ASA addition, which indicated that the expression changes of PoWC‐1 and PoWC‐2, two key genes in the light morphogenesis, might affect the expression levels of development regulating genes Pofst3 and Pofst4, so as to lead to the formation of primordia in advance.
Characterizing Microbiomes via Sequencing of Marker Loci: Techniques To Improve Throughput, Account for Cross-Contamination, and Reduce Cost

New methods to characterize microbiomes reduce technology-imposed limitations to study design, but many new approaches have not been widely adopted. Here, we present techniques to increase throughput and reduce contamination alongside a thorough review of current best practices. ABSTRACT New approaches to characterizing microbiomes via high-throughput sequencing provide impressive gains in efficiency and cost reduction compared to approaches that were standard just a few years ago. However, the speed of method development has been such that staying abreast of the latest technological advances is challenging. Moreover, shifting laboratory protocols to include new methods can be expensive and time consuming. To facilitate adoption of new techniques, we provide a guide and review of recent advances that are relevant for single-locus sequence-based study of microbiomes—from extraction to library preparation—including a primer regarding the use of liquid-handling automation in small-scale academic settings. Additionally, we describe several amendments to published techniques to improve throughput, track contamination, and reduce cost. Notably, we suggest adding synthetic DNA molecules to each sample during nucleic acid extraction, thus providing a method of documenting incidences of cross-contamination. We also describe a dual-indexing scheme for Illumina sequencers that allows multiplexing of many thousands of samples with minimal PhiX input. Collectively, the techniques that we describe demonstrate that laboratory technology need not impose strict limitations on the scale of molecular microbial ecology studies. IMPORTANCE New methods to characterize microbiomes reduce technology-imposed limitations to study design, but many new approaches have not been widely adopted. Here, we present techniques to increase throughput and reduce contamination alongside a thorough review of current best practices.
Morphology Effect on the Kinetic Parameters and Surface Thermodynamic Properties of Ag3PO4 Micro-/Nanocrystals

Considerable effort has been exerted using theoretical calculations to determine solid surface energies. Nanomaterials with high surface energy depending on morphology and size exhibit enhanced reactivity. Thus, investigating the effects of morphology, size, and nanostructure on the surface energies and kinetics of nanomaterials is important. This study determined the surface energies of silver phosphate (Ag3PO4) micro-/nanocrystals and their kinetic parameters when reacting with HNO3 by using microcalorimetry. This study also discussed rationally combined thermochemical cycle, transition state theory, basic theory of chemical thermodynamics with thermokinetic principle, morphology dependence of reaction kinetics, and surface thermodynamic properties. Results show that the molar surface enthalpy, molar surface entropy, molar surface Gibbs free energy, and molar surface energy of cubic Ag3PO4 micro-/nanocrystals are larger than those of rhombic dodecahedral Ag3PO4 micro-/nanocrystals. Compared with rhombic dodecahedral Ag3PO4, cubic Ag3PO4 with high surface energy exhibits higher reaction rate and lower activation energy, activation Gibbs free energy, activation enthalpy, and activation entropy. These results indicate that cubic Ag3PO4 micro-/nanocrystals can overcome small energy barrier faster than rhombic dodecahedral Ag3PO4 micro-/nanocrystals and thus require lower activation energy.
DNA methylation analyses identify an intronic ZDHHC6 locus associated with time to recurrent stroke in the Vitamin Intervention for Stroke Prevention (VISP) clinical trial

Aberrant DNA methylation profiles have been implicated in numerous cardiovascular diseases; however, few studies have investigated how these epigenetic modifications contribute to stroke recurrence. The aim of this study was to identify methylation loci associated with the time to recurrent cerebro- and cardiovascular events in individuals of European and African descent. DNA methylation profiles were generated for 180 individuals from the Vitamin Intervention for Stroke Prevention clinical trial using Illumina HumanMethylation 450K BeadChip microarrays, resulting in beta values for 470,871 autosomal CpG sites. Ethnicity-stratified survival analyses were performed using Cox Proportional Hazards regression models for associations between each methylation locus and the time to recurrent stroke or composite vascular event. Results were validated in the Vall d’Hebron University Hospital cohort from Barcelona, Spain. Network analyses of the methylation loci were generated using weighted gene coexpression network analysis. Primary analysis identified four significant loci, cg04059318, ch.2. 81927627R, cg03584380, and cg24875416, associated with time to recurrent stroke. Secondary analysis identified three loci, cg00076998, cg16758041, and cg02365967, associated with time to composite vascular endpoint. Locus cg03584380, which is located in an intron of ZDHHC6, was replicated in the Vall d’Hebron University Hospital cohort. The results from this study implicate the degree of methylation at cg03584380 is associated with the time of recurrence for stroke or composite vascular events across two ethnically diverse groups. Furthermore, modules of loci were associated with clinical traits and blood biomarkers including previous number of strokes, prothrombin fragments 1 + 2, thrombomodulin, thrombin-antithrombin complex, triglyceride levels, and tissue plasminogen activator. Ultimately, these loci could serve as potential epigenetic biomarkers that could identify at-risk individuals in recurrence-prone populations.
The impact of childhood lead exposure on adult personality: Evidence from the United States, Europe, and a large-scale natural experiment

Significance Childhood lead exposure causes lifelong psychological problems, which may be more extensive than previously thought. In a sample of over 1.5 million people, we found that US and European residents who grew up in areas with higher levels of atmospheric lead had less adaptive personality profiles in adulthood (lower conscientiousness, lower agreeableness, and higher neuroticism), even when accounting for socioeconomic status. These effects were driven by participants ages 20 to 39. In a natural experiment, reductions of leaded gasoline in the United States following the 1970 Clean Air Act corresponded with increases in psychologically healthy personality traits. These results suggest that even low-level lead exposure may adversely impact personality traits, harming the well-being, longevity, and economic prospects of millions of people. Childhood lead exposure has devastating lifelong consequences, as even low-level exposure stunts intelligence and leads to delinquent behavior. However, these consequences may be more extensive than previously thought because childhood lead exposure may adversely affect normal-range personality traits. Personality influences nearly every aspect of human functioning, from well-being to career earnings to longevity, so effects of lead exposure on personality would have far-reaching societal consequences. In a preregistered investigation, we tested this hypothesis by linking historic atmospheric lead data from 269 US counties and 37 European nations to personality questionnaire data from over 1.5 million people who grew up in these areas. Adjusting for age and socioeconomic status, US adults who grew up in counties with higher atmospheric lead levels had less adaptive personality profiles: they were less agreeable and conscientious and, among younger participants, more neurotic. Next, we utilized a natural experiment, the removal of leaded gasoline because of the 1970 Clean Air Act, to test whether lead exposure caused these personality differences. Participants born after atmospheric lead levels began to decline in their county had more mature, psychologically healthy adult personalities (higher agreeableness and conscientiousness and lower neuroticism), but these findings were not discriminable from pure cohort effects. Finally, we replicated associations in Europeans. European participants who spent their childhood in areas with more atmospheric lead were less agreeable and more neurotic in adulthood. Our findings suggest that further reduction of lead exposure is a critical public health issue.
Insight in nonpsychotic disorders: A new model of insight and a systematic review of measures

Objective: There is substantial research examining insight in psychotic disorders and in some nonpsychotic disorders. However, there has been little attention given to many nonpsychotic disorders. Research on insight in psychosis distinguishes between cognitive and clinical insight. In most studies examining insight in nonpsychotic disorders, definitions and assessments of insight vary significantly. The purpose of this review is to suggest a definition of insight in nonpsychotic disorders such that it can be used across different disorders. Method: We systematically review the extant literature of insight in nonpsychotic disorders and analyze the assessments used in order to determine how well they capture these two types of insight. Then, we discuss how these two constructs can provide better understanding of the phenomenology of insight in nonpsychotic disorders. Results: The systematic search resulted in 99 articles. These articles used 17 different methods of measuring insight, containing 127 questions. Results of the content analysis of items suggested that measures of insight used in nonpsychotic disorders do not distinguish between cognitive and clinical insight, but that most questions (90%) can indeed be reliably differentiated. Conclusion: We provide a multidimensional model of cognitive and clinical insight in nonpsychotic disorders, emphasizing the complexity of assessment and the importance of accurately defining insight. Such definitions have important theoretical and clinical implications, offering a better understanding of the concept of insight in nonpsychotic disorders.
Real‐world evidence with The Rezūm System: A retrospective study and comparative analysis on the efficacy and safety of 12 month outcomes across a broad range of prostate volumes

To provide 12‐month unbiased outcomes with The Rezūm System (Rezūm), a convective water vapor thermal therapy for patients with lower urinary tract symptoms (LUTS) secondary to benign prostatic hyperplasia (BPH). Results from this retrospective, real‐world evidence (RWE) study were compared to those of previous studies with the aim to evaluate the device's safety and efficacy in a real‐world patient population.
Interface Delay

Abstract Interface Delay is a theory of syntactic development, which attempts to explain an array of constructions that are slow to develop, which are characterized by being sensitive to discourse-pragmatic considerations of the type associated with the natural semantic class of definites. The theory claims that neither syntax itself, nor the discourse-pragmatic abilities related to executive function and theory of mind themselves are slow to develop. Rather, the claim is that the nexus or interface between the two cognitive domains is slow to develop. We review the development of subjects in child Spanish as an example of this delayed growth trajectory. Further, we review evidence that a delay in the development of tense causes concomitant delays in the seemingly unrelated phenomena of non-nominative case subject pronoun use and un-inverted wh- questions.