Miracle-dz/UniFAR-FTUs huggingface dataset:
Disproportionate identification of special needs for ethnic and language minority students in England–patterns and explanations

Abstract Using data from the Millennium Cohort Study, this article contributes to research on disproportionate special needs identification of ethnic and language minority students in England. It addresses the reasons behind such disproportionalities. By considering a comparatively broad set of indicators on students’ abilities, behaviours and exposure to risk factors, it examines if these indicators fully account for existing disproportionalities. Remaining discrepancies might hint at teacher bias and discrimination. Results indicate that overrepresentation of minority students within different special needs categories is fully explained by their exposure to risk factors, when a broad set of risk measures is considered. This also holds true for the overrepresentation of Black Caribbean students within the category of social, emotional and mental health difficulties. Underrepresentation, however, remains largely unexplained by students’ exposure to risk factors, school-related abilities and behaviours and even tends to increase when this information is considered. Supplemental data for this article is available online at https://doi.org/10.1080/01425692.2021. 2002682 .
Genetic Based Method for Mining Association Rules

In this paper genetic based method proposed for mining association rule, the benefit of this method it mining association rule in one step and it does not require the user-specified threshold of minimum support and minimum confidence deciding suitable threshold values of support and confidence is critical to the quality of association rule technology. Specific mechanisms for crossover operators have been designed to extract interesting rules from a transaction database. The method proposed in this paper is successfully applied to real-world database. The results demonstrate that the proposed algorithm is a practical method for mining association rules. Keyword: genetic algorithm, association rule, data mining.
ESD failure modes: characteristics mechanisms, and process influences

Electrostatic discharge (ESD) failure modes in advanced CMOS processes have been electrically and physically characterized, and an analysis has been made of the mechanisms of each of the main failure modes. The physical failure modes have been related to the electrical degradation and, therefore, the electrical signatures of the damage mechanisms have been obtained. The distribution of the electrical characteristics after ESD stress, for a given process or design variation, can then be used to identify freak failures and process defects. Investigations of the influence of processing steps such as silicides, lightly doped drains (LDDs), thin gate oxides, bird's-beak suppression, and barrier metallization on the electrical damage characteristics and the failure modes are presented and analyzed. >
Review of Implementing a Working Honeypot System

A honeypot is used in the area of computer and Internet security. It is a resource used to trap attacks, records intrusion information about tools and events of the hacking process, and avoids attacks outbound the compromised computer system. It can also be deployed to attract and divert an attacker from their real targets. The goal of our paper is to show the overview of honeypots and their use in a research as well as productive environment. A honeypot can be anything from Windows to UNIX. Compared to the other intrusion detection systems, honeypots have the big advantage that they do not generate incorrect alerts or large log files like other intrusion detection systems because no productive components are running on the system. Other big advantage of honeypot system is that we don't need to manage the data base of intrusions signature or definition. The honeypot system logs every byte that flows through the network. This log data helps the researcher to draw a picture of an attack and the attacker.
Idiopathic Membranous Nephropathy with Solitary Immunoglobulin A Deposition: A Case Report and a Review of the Literature

A 63-year-old man with an 8-year history of proteinuria was diagnosed with nephrotic syndrome, and a renal biopsy was performed. Light and electron microscopic analyses showed classic features of idiopathic membranous nephropathy (IMN). However, immunofluorescence tests revealed solitary polyclonal granular IgA deposition along the glomerular capillary walls, rather than IgG, which is often dominant in IMN. The combined use of corticosteroids and calcineurin inhibitor was noticeably effective in reducing proteinuria and improving edema in the current case. Two additional rare cases of IMN with solitary IgA deposition were reviewed, and long-term surveillance is still warranted to characterize its clinicopathological features and outcome.
Restoring and Enhancing Degraded Underwater Pipelines for Identifying and Detecting Corrosion

Detection of corrosion from underwater images is necessary for oil and gas pipelines to eliminate the internal leakages and hazards. The tests utilized a broad range of underwater pictures of various situations. A modern technique for estimating subsea pipeline corrosion based on the colour of the corroded pipe. For corrupted underwater videos, an image reconstruction and enhancement algorithm is created as a preliminary phase. The created algorithm reduces blurring and improves picture colour and contrast. The improved colours in the imaging details aid in the method of corrosion estimation. In this work we proposed a underwater corrosion detection using image processing techniques. Some machine learning and deep learning techniques have been used for classification of corrosion. In experimental analysis various features have been evaluated for detection of corrosion and it introduces better classification accuracy than traditional approaches.
Reanalysis of Exome Data Identifies Novel SLC25A46 Variants Associated with Leigh Syndrome

SLC25A46 (solute carrier family 25 member 46) mutations have been linked to various neurological diseases with recessive inheritance, including Leigh syndrome, optic atrophy, and lethal congenital pontocerebellar hypoplasia. SLC25A46 is expressed in the outer membrane of mitochondria, where it plays a critical role in mitochondrial dynamics. A deceased 7-month-old female infant was suspected to have Leigh syndrome. Clinical exome sequencing was non-diagnostic, but research reanalysis of the sequencing data identified two novel variants in SLC25A46: a missense (c.1039C>T, p.Arg347Cys; NM_138773, hg19) and a donor splice region variant (c.283+5G>A) in intron 1. Both variants were predicted to be damaging. Sanger sequencing of cDNA detected a single missense allele in the patient compared to control, and the SLC25A46 transcript levels were also reduced due to the splice region variant. Additionally, Western blot analysis of whole-cell lysate showed a decrease of SLC25A46 expression in proband fibroblasts, relative to control cells. Further, analysis of mitochondrial morphology revealed evidence of increased fragmentation of the mitochondrial network in proband fibroblasts, compared to control cells. Collectively, our findings suggest that these novel variants in SLC24A46, the donor splice one and the missense variant, are the cause of the neurological phenotype in this proband.
A new permanent magnetic friction damper device for passive energy dissipation

This paper summarizes the development of a new permanent magnetic friction damper (PMFD) device designed to protect structures during earthquakes. The device is based on the concept that when two permanent magnetic strips are osculated, magnetic attraction is produced and the magnitude can be adjusted and predicted by changing the area of the contact surface of the strips. Thus, the controlling force of the PMFD device varies continuously with the response of the structure and thereby overcomes the drawbacks of conventional friction dampers, the force models for which are invariable. We performed shaking table tests and numerical studies for a five-story steel frame structure fitted with PMFD devices; the results demonstrate that the new device effectively reduces the seismic response of a structure due to its excellent energy dissipation capacity. Moreover, the controlling force supplied by the new PMFD device can be adaptively adjusted according to the magnitude of the excitations. Therefore, the new PMFD device presents a viable alternative to conventional friction-based earthquake-resistant designs both for new construction and for upgrading existing structures.
Augmentative Pharmacological Strategies in Treatment-Resistant Major Depression: A Comprehensive Review

Treatment resistant depression (TRD) is associated with poor outcomes, but a consensus is lacking in the literature regarding which compound represents the best pharmacological augmentation strategy to antidepressants (AD). In the present review, we identify the available literature regarding the pharmacological augmentation to AD in TRD. Research in the main psychiatric databases was performed (PubMed, ISI Web of Knowledge, PsychInfo). Only original articles in English with the main topic being pharmacological augmentation in TRD and presenting a precise definition of TRD were included. Aripiprazole and lithium were the most investigated molecules, and aripiprazole presented the strongest evidence of efficacy. Moreover, olanzapine, quetiapine, cariprazine, risperidone, and ziprasidone showed positive results but to a lesser extent. Brexpiprazole and intranasal esketamine need further study in real-world practice. Intravenous ketamine presented an evincible AD effect in the short-term. The efficacy of adjunctive ADs, antiepileptic drugs, psychostimulants, pramipexole, ropinirole, acetyl-salicylic acid, metyrapone, reserpine, testosterone, T3/T4, naltrexone, SAMe, and zinc cannot be precisely estimated in light of the limited available data. Studies on lamotrigine and pindolol reported negative results. According to our results, aripiprazole and lithium may be considered by clinicians as potential effective augmentative strategies in TRD, although the data regarding lithium are somewhat controversial. Reliable conclusions about the other molecules cannot be drawn. Further controlled comparative studies, standardized in terms of design, doses, and duration of the augmentative treatments, are needed to formulate definitive conclusions.
Cloud Microphysics in Global Cloud Resolving Models

ABSTRACT Global cloud resolving models (GCRMs) are a new type of general circulation model that explicitly calculates the growth of cloud systems with fine spatial resolutions and more than 10 GCRMs have been developed at present. This work reviews cloud microphysics schemes used in GCRMs with introductions to the recent progress and researches with GCRMs. Especially, research progress using a pioneer of GCRMs, Nonhydrostatic ICosahedral Atmospheric Model (NICAM), is focused. Since GCRMs deal with climatology and meteorology, it is a challenging issue to establish cloud microphysics schemes for GCRMs. A brief history of the development of cloud microphysics schemes and cloud-radiation coupling in NICAM is described. In addition, current progress in analytical techniques using satellite simulators is described. The combined use of multi-optical sensors enables us to constrain uncertain processes in cloud microphysics without artificial tuning. As a result, cloud microphysics schemes used in the NICAM naturally represent cloud systems, and hence, the radiative budget is well balanced with little optimization. Finally, a new satellite and a ground validation campaign are introduced for future work.
From Neuroethics to Neo-romanticism. Aldous Huxley in Response to Current Proposals for Ethical and Legal Regulation of Neuroscience

The neuroethics field emerged in the early 2000s in an effort to face important philosophical dilemmas and anticipate disruptive social changes linked to the use of neurotechnology (Safire, 2002). From very early on, this field grew out of two core issues, namely inquiries into the ethics of neuroscience –concerning the moral use of knowledge and technology– and inquiries into the neuroscience of ethics –on how new brain function evidence can change human self-understanding (Roskies 2002). Similarly, neurolaw is now on a parallel path with two main pillars as Chandler (2018) suggested, (1) “self-reflexive inquiry” (the neuroscience of law) and (2) “inquiry into the development and use of brain science and technologies” (the law of neuroscience). In this paper, I suggest that these two lines of research are still excessively disconnected from one another and, to support this claim, I analyze the three potential point-of-no-return risks that Aldous Huxley associated with technological challenges, namely centralization of power, bureaucratic alienation, and scientific idealism. In addition, I show how Huxley shifted analysis of technological problems from a focus on the rights of potential victims to the duties of potential aggressors. Finally, I argue that Aldous Huxley’s view on how to build a bridge that brings pillars 1) and 2) closer together also helps prevent the technological point-of-no-return. According to Huxley, the key is found in paying particular attention to understanding contemplative activity, reinforcing its role in the study of reality, and, eventually, returning the romantic gaze updated to academia.
Model reference control in quasi-linear systems with a parametric feed-forward compensator and state-feedback stabilization controller

In this paper, a parametric feed-forward compensator and a parametric state-feedback stabilization controller are proposed for the model reference control to a class of quasi-linear systems. Quasi-linear systems are a special type of nonlinear systems whose coefficient matrices contain the state variables and also a time-varying parameter vector. The parametric state-feedback stabilization controller guarantees the stability of the closed-loop system and the parametric feed-forward compensator compensates the effect of the reference model state to the tracking error. The complete parametrization of the parametric feed-forward compensator is established based on a complete parametric solution to a class of generalized Sylvester matrix equations and solution of a coefficient matrix such that two matrix equations are satisfied. The established parametric state-feedback stabilization controller only needs a complete parametric solution to the same generalized Sylvester matrix equations but with different sets of freely designed parameters that represent the degrees of design freedom and may be further utilized to improve the system performance. A linear closed-loop form with the desired eigenstructure can be derived with the proposed parametric feed-forward compensator and parametric state-feedback stabilization controller, and a constant linear can even be obtained in certain cases. A numerical example and the application in spacecraft rendezvous are provided to illustrate the effectiveness of the proposed approach.
Microbial Ecology of Sulfur Biogeochemical Cycling at a Mesothermal Hot Spring Atop Northern Himalayas, India

Graphical Abstract Sulfur Related Prokaryotes (SRP) residing in hot spring present good opportunity for exploring the limitless possibilities of integral ecosystem processes. Metagenomic analysis further expand the phylogenetic breadth of these extraordinary sulfur metabolizing microorganisms, as well a their complex metabolic networks and syntrophic interactions in environmental biosystems. Through this study, we explored and expanded the microbial genetic repertoire with focus on sulfur cycling genes through metagenomic analysis of sulfur (S) contaminated hot spring, located at the Northern Himalayas. The analysis revealed rich diversity of microbial consortia with established roles in S cycling such as Pseudomonas, Thioalkalivibrio, Desulfovibrio and Desulfobulbaceae (Proteobacteria). The major gene families inferred to be abundant across microbial mat, sediment and water were assigned to Proteobacteria as reflected from the RPKs (reads per kilobase) categorized into translation and ribosomal structure and biogenesis. Analysis of sequence similarity showed conserved pattern of both dsrAB genes (n=178) retrieved from all metagenomes while other sulfur disproportionation proteins were diverged due to different structural and chemical substrates. The diversity of sulfur oxidizing bacteria (SOB) and sulfate reducing bacteria (SRB) with conserved (r)dsrAB suggests for it to be an important adaptation for microbial fitness at this site. Here, we confirm that (i) SRBs belongs to δ-Proteobacteria occurring independent LGT of dsr genes to different and few novel lineages (ii) also, the oxidative and reductive dsr evolutionary time scale phylogeny, proved that the earliest (not first) dsrAB proteins belong to anaerobic Thiobacillus with other (rdsr) oxidizers. Further, the structural prediction of unassigned DsrAB proteins confirmed their relatedness with species of Desulfovibrio (TM score= 0.86; 0.98; 0.96) and Archaeoglobus fulgidus (TM score= 0.97; 0.98). We proposed that the genetic repertoire might provide the basis of studying time scale evolution and horizontal gene transfer of these genes in biogeochemical S cycling and the complementary genes could be implemented in biotechnology and bioremediation applications.
Regeneration of 3D body scan data using semi‐implicit particle‐based method

Purpose – The purpose of this paper is to find automatic post‐processing scheme to give textures and motion data to three dimensional (3D) body scan data.Design/methodology/approach – Semi‐implicit particle‐based method was applied to post‐processing of 3D body scan data. The template avatar mesh was draped onto the target scan data and the texture/motion data were transferred to regenerated body. Automatic body feature detection was used to correlate the template body with the target body.Findings – Using semi‐implicit particle method, there are advantages in both computational stability and accuracy. The calculation is done in a few minutes and even data with many holes could be used.Originality/value – There are several researches for body feature detection and scan body regeneration but this paper aims for fully automatic method which needs no human intervention. The semi‐implicit particle method, which is popularly used for cloth simulation, is applied to body data regeneration. The conventional 3D b.
Acceptance of cloud computing in an airline company based on Roger’s diffusion of innovation theory

using cloud computing develops, one of the problems that managers face at the organization level is that the personnel cannot work with these systems, users do not accept these new systems and the problem of accepting these technologies, effective factors in accepting them and the existing barriers in accepting them by users are very important. In many organizations wherein cloud computing has been launched, a time period is required to accept this new system by their personnel. If this time period is less and the personnel can work with these systems earlier, the productivity increases in the organization. The present paper aims the analysis of effective factors on acceptance of cloud computing by personnel working in Birjand International Airport in South Khorasan County (Iran) based on Roger? s diffusion of innovation theory. Examination of effective factors on acceptance of cloud computing in an organization can pave the way for improving its implementation and performance. This research has been done by descriptive survey method and its community includes personnel working in different official and informatics departments of Birjand International Airport. The data gathering instrument was questionnaire and for determining questionnaire validity opinions of masters and for determining consistency Cronbach's alpha has been used. For data analysis descriptive and inferential statistics have been used. The results of present paper indicated that there is meaningful and positive relationship between acceptance features of cloud computing and perception elements of testability, comparative advantage, visibility, complexity, and compatibility of cloud computing with its acceptance rate and there is meaningful and negative relationship between features of perception of not needing cloud computing and its acceptance rate. But there was no meaningful relationship between perception of cloud computing test opportunity and its acceptance rate. As one of the modern ways of providing electronic service has been cloud computing in recent years and it has many benefits for air transportation systems, this paper presents a model for analysis of effective factors in acceptance of cloud computing among personnel of an airline company (airport) and it can be used for examining cloud acceptance in other air companies.
Situational awareness based flight control of a four-rotor type UAV

This paper focuses on a critical component of the situational awareness (SA), the control of autonomous vertical flight for an unmanned aerial vehicle (UAV). With the SA strategy, we proposed a two stage flight control procedure using two autonomous control subsystems to address the dynamics variation and performance requirement difference in initial and final stages of flight trajectory for a nontrivial nonlinear fourrotor helicopter model. This control strategy for chosen helicopter model has been verified by simulation of hovering maneuvers using software package Simulink and demonstrated good performance for fast stabilization of engines in hovering, consequently, fast SA with economy in energy of batteries can be asserted during search-and-rescue operations.
Molecular Bases of Human Malformation Syndromes Involving the SHH Pathway: GLIA/R Balance and Cardinal Phenotypes

Human hereditary malformation syndromes are caused by mutations in the genes of the signal transduction molecules involved in fetal development. Among them, the Sonic hedgehog (SHH) signaling pathway is the most important, and many syndromes result from its disruption. In this review, we summarize the molecular mechanisms and role in embryonic morphogenesis of the SHH pathway, then classify the phenotype of each malformation syndrome associated with mutations of major molecules in the pathway. The output of the SHH pathway is shown as GLI activity, which is generated by SHH in a concentration-dependent manner, i.e., the sum of activating form of GLI (GLIA) and repressive form of GLI (GLIR). Which gene is mutated and whether the mutation is loss-of-function or gain-of-function determine in which concentration range of SHH the imbalance occurs. In human malformation syndromes, too much or too little GLI activity produces symmetric phenotypes affecting brain size, craniofacial (midface) dysmorphism, and orientation of polydactyly with respect to the axis of the limb. The symptoms of each syndrome can be explained by the GLIA/R balance model.