Miracle-dz/UniFAR-FTUs huggingface dataset:
A Robust Recognition Method for Automotive Manufacturing Based on Deep Neural Networks

The method of object recognition based on deep learning has a wide range of applications in various fields. For the visual detection of components in automobile manufacturing, the object classification network based on deep learning has achieved good results. However, environmental factors, such as camera shaking, camera rotation, illumination and so on, etc., may cause the detection accuracy of the object classification network to decrease. By analyzing industrial data, this paper proposes a robust deep learning-based recognition method for automotive manufacturing. Through data set enhancement and model selection, robust detection performance and higher detection accuracy are achieved even in the harsh environments of industrial production line. Experimental results show that while ensuring real-time performance, this method has better recognition performance on automotive components. More than 2% improvement is achieved in industrial environment with camera shaking and rotation, compared with traditional classification networks.
Self-stabilizing Systems in Spite of Distributed Control

The synchronization task between loosely coupled cyclic sequential processes (as can be distinguished in, for instance, operating systems) can be viewed as keeping the relation “the system is in a legitimate state” invariant. As a result, each indi­ vidual process step that could possibly cause violation of that relation has to be preceded by a test deciding whether the process in question is allowed to proceed or has to be delayed. The resulting design is readily—and quite systematically— implemented if the different processes can be granted mutually exclusive access to a common store in which “the current system state” is recorded. A complication arises if there is no such commonly accessible store and, there­ fore, “the current system state” must be recorded in variables distributed over the various processes; and a further complication arises if the communication facil­ ities are limited in the sense that each process can only exchange information
Beyond Victims and Villains: Young People's Acts of Citizenship during Covid-19

During the Covid-19 crisis, stereotypical images of young people as selfish troublemakers or passive victims appeared in the media and scholarly publications. These persistent views disregard many young people's authentic experiences and civic contributions. In this article, we challenge these perceptions by highlighting young people's acts of citizenship during the pandemic lockdowns that took place during 2020 in Aotearoa New Zealand. Despite being internationally praised for its compliant Covid-19 response, citizens were prepared to challenges the pandemic restrictions in order to have their voices heard. Young people were often at the forefront of these protests, wanting to actively participate in matters that concerned them by joining Black Lives Matter marches or campaigning to lower the voting age. At the same time, young people engaged in more personal and invisible acts of citizenship within their families and school communities. In this article, we share evidence from our empirical study into young people's social and political engagement during the Covid-19 lockdowns in Aotearoa New Zealand. Implications of this study for citizenship education are discussed.
Investigation of Zero Voltage Switching Capability for Bidirectional Series Resonant Converter Using Phase-Shift Modulation

A series resonant converter (SRC) using a phase-shift modulation (PSM) was invented to implement the bidirectional power flow. However, it has a narrow zero voltage switching (ZVS) range, which reduces the power conversion efficiency for the light load condition. In this paper, the ZVS condition of the SRC is analyzed according to the power flow directions. From this analysis, the SRC using an extended PSM and single PSM is proposed to obtain the soft switching for the entire load range. The analysis of ZVS condition and performance of proposed control algorithm are verified using simulation and experimental results with a 500-W prototype converter.
Black Women Leaders: Going High in a World of Lows

The Problem Although relevant to some leaders, existing leadership theories and frameworks lack sociocultural support for Black women leaders. Furthermore, despite its roots in developing people, the field of human resource development (HRD) has historically taken a hegemonic approach that does not support the leadership development of Black women. Current research in the field is limited in its application of sociocultural perspectives of leadership that explain the dilemmas of Black women leaders. This is a critical deficiency that is exacerbated in times of crises. The Solution We examine the practical application of traditional theories such as transformational and servant leadership in relation to the social identity of Black women leaders. We propose a conceptual development framework that considers the foundations of transformational and servant leadership but applies a sociocultural lens that better aligns with the needs of the Black women leaders. We further conclude that sociocultural frameworks are needed within leadership development programs to support Black women leaders. The Stakeholders HRD practitioners and researchers, Black women leaders in the workforce, and organizational leaders.
1 Introduction and Summary 1 . 1 Background and Motivation

We argue that those field theories containing mesons that are dual to weakly curved string backgrounds are non–generic. The spectrum of highly excited mesons in confining field theories behaves asMn ∝ √ n (where n is the radial excitation number), as does the spectrum of the dual mesons described by open strings ending on probe D branes. However, in the weakly coupled backgrounds, we show that the sector of (light) mesons with spin J ≤ 1, dual to the brane fluctuations, behaves as Mn ∝ n, for confining and non–confining theories alike. In order to perform the analysis we suggest a method of quantization of the open string endpoints, and rely heavily on the semiclassical, or WKB, approximation.
Fault injection: a varance reduction technique for studying the performance consequences of rarely occuring failures in communication networks

In this short paper a new technique, called Fault Injection Simulation (FIS), is discussed that is suited for deriving results for steady-state measures in discrete event dynamic systems which are strongly influenced by rarely occurring events. FIS is based on division of the observations in those that are affected and those that are not affected by these rare events. If methods are available FIS can be used as a (partly) analytical technique, else as a pure fast simulation technique. Under intuitively appealing assumptions FIS gives an unbiased estimator and a variance reduction. In this short paper we discuss FIS from a practical point of view; when can FIS be used and how should FIS be used. Furthermore, we show how to adjust FIS during the simulation to benefit maximally from its variance reduction capabilities.
2 AdS 2 brane in AdS

I analyze the asymptotic symmetries of a theory of gravity in a background consisting of two patches of AdS3 spacetime glued together along an AdS2 brane. These are generated by a single Virasoro algebra, as expected from the conjectured dual description in terms of a scale-invariant interface separating two conformal field theories. Contributed to the proceedings of the Francqui Colloquium 2001: ‘Strings and Gravity: Tying the Forces Together . ’
The microtubule protein Doublecortin contributes to maintenance of bipolar shape and nuclear translocation during neuronal migration in the adult forebrain

The ability of the mature mammalian nervous system to continually produce neuronal precursors is of considerable importance, as manipulation of this process might one day permit the replacement of cells lost as a result of injury or disease. In mammals, the anterior subventricular zone (SVZa) region is one of the primary sites of adult neurogenesis. Here we show that Doublecortin (DCX), a widely used marker for newly generated neurons, when deleted in mouse results in a severe morphological defect in the rostral migratory stream and delayed neuronal migration that is independent of direction or responsiveness to Slit chemorepulsion. DCX is required for nuclear translocation and maintenance of bipolar morphology during migration of these cells. Our data identifies a critical function for DCX in the movement of newly generated neurons in the adult brain. In the rodent and primate brain, the anterior region of the lateral ventricle and the hippocampus are the primary sites of adult neurogenesis 1-7 . These neuroblasts, upon completing migration, are capable of maturing into fully differentiated neurons, integrating into local synaptic circuits and may be important in adult cognitive processing 8-11 . 21-23 neurons 24 upright microscope with a Coherent MaiTai laser and with temperature and CO 2 incubation at an excitation of 900 nM. Images were acquired with a z -step of 2 µm and depth of 100 µm through the RMS. Cell tracking was performed with ImageProPlus (Media Cybernetics). Fluorescent and DIC live cell migration imaging of SVZ explants was performed with a DeltaVision deconvolution system with temperature and CO 2 incubation using multipoint revisiting, a z -step of 2 µm.
An analysis of core–mantle boundary Stoneley mode sensitivity and sources of uncertainty

Stoneley modes are a special subset of normal modes whose energy is conﬁned along the core– mantle boundary (CMB). As such, they offer a unique glimpse into Earth structure at the base of the mantle. They are often observed through coupling with mantle modes due to rotation, ellipticity and lateral heterogeneity, though they can be detected without such coupling. In this study, we explore the relative sensitivities of seismic spectra of two low-frequency Stoneley modes to several factors, taking as reference the fully coupled computation up to 3 mHz in model S20RTS. The factors considered are (i) theoretical, by exploring the extent to which various coupling approximations can accurately reproduce reference spectra and (ii) model-based, by exploring how various Earth parameters such as CMB topography, attenuation and S and P -wave structures, and the seismic source solution may inﬂuence the spectra. We ﬁnd that mode-pair coupling is insufﬁciently accurate, but coupling modes within a range of ± 0.1 mHz produces acceptable spectra, compared to full coupling. This has important implications for splitting function measurements, which are computed under the assumption of isolated modes or at best, mode-pair or group coupling. We ﬁnd that uncertainties in the P -wave velocity mantle model dominate compared to other model parameters. In addition, we also test several hypothetical models of mantle density structure against real data. These tests indicate that, with the low-frequency Stoneley mode spectral data considered here, it is difﬁcult to make any ﬁrm statement on whether the large-low-shear-velocity-provinces are denser or lighter than their surroundings. We conclude that better constraints on long wavelength elastic mantle structure, particularly P -wave velocity, need to be obtained, before making further statements on deep mantle density heterogeneity. In particular, a dense anomaly conﬁned to a thin layer at the base of the mantle (less than ∼ 100–200 km) may not be resolvable using the two Stoneley modes tested here, while the ability of higher frequency Stoneley modes to resolve it requires further investigations.
High-Redshift Quasars Found in Sloan Digital Sky Survey Commissioning Data. III. A Color-selected Sample at i* < 20 in the Fall Equatorial Stripe

This is the third paper in a series aimed at finding high-redshift quasars from five-color (u′g′r′i′z′) imaging data taken along the celestial equator by the Sloan Digital Sky Survey (SDSS) during its commissioning phase. In this paper, we first present the observations of 14 bright, high-redshift quasars (3.66 ≤ z ≤ 4.77, i* ≲ 20) discovered in the SDSS fall equatorial stripe, and the SDSS photometry of two previously known high-redshift quasars in the same region of the sky. Combined with the quasars presented in Paper I and by Schneider et al., we define a color-selected flux-limited sample of 39 quasars at 3.6 < z < 5.0 and i* ≲ 20, covering a total effective area of 182 deg2. From this sample, we estimate the average spectral power-law slope in the rest-frame UV for quasars at z ∼ 4 to be -0.79 with a standard deviation of 0.34, and the average rest-frame equivalent width of the Lyα + N V emission line to be 69 Å with a standard deviation of 18 Å. The selection completeness of this multicolor sample is determined from the model colors of high-redshift quasars, taking into account the distributions of emission-line strengths, intrinsic continuum slope, the line and continuum absorption from intervening material, and the effects of photometric errors. The average completeness of this sample is about 75%. The selection function calculated in this paper will be used to correct the incompleteness of this color-selected sample and to derive the high-redshift quasar luminosity function in a companion paper. In an appendix, we present the observations of an additional 18 faint quasars (3.57 ≤ z ≤ 4.80, 20.1 < i* < 20.8) discovered in the region on the sky that has been imaged twice. Several quasars presented in this paper exhibit interesting properties, including a radio-loud quasar at z = 4.77 and a narrow-line quasar (FWHM = 1500 km s-1) at z = 3.57.
TO STUDY THE INCIDENCE OF HYPOCALCAEMIA IN POST THYROIDECTOMY PATIENTS.

Background: Objective of the present study was to study the incidence of hypocalcaemia in post-thyroidectomy patients. Methods: Total 40 patients of thyroid swelling were studied prospectively from a period starting from july 2015 to april 2018 at a rural hospital, A.V. B.R. H. All patients visiting the surgical clinic with thyroid swelling and admitted for total thyroidectomy were included in the study. During the course of study, of the total patient who presented to the OPD,40 patients(male and female) were sorted out and were thoroughly examined clinically, hematologically, biochemically, sonologically and cytologically and were posted for total thyroidectomy. A serum calcium was sent preoperatively and on the first day of total thyroidectomy. Symptomatic hypocalcaemia developing within 24 hours of surgery & which returned to normal with little or no treatment was termed as Transient hypocalacaemia. Those cases who showed decrease in serum calcium i.e ≤ 8 (despite of any obvious symptoms) were started on tablet calcium and were assessed in follow up. Results: Of the total 40 patients of total thyroidectomy, 25% had post thyroidectomy hypocalcaemia;40% were symptomatic and 60% were asymptomatic; 30% were diagnosed as medullary carcinoma, 20% as papillary carcinoma, 20% as lymphocytic thyroiditis, 20% as nodular goiter and 10% cases of follicular carcinoma; 80% received oral calcium supplementation and 20% received injectable calcium supplementation. Conclusion: Meticulous dissection of thyroid lobes and respecting the anatomy of Recurrent nerves and identification of both pairs of parathyroides, preserving their blood supply are key factors a surgeon should observe during surgery in order to reduce the incidence of post thyroidectomy hypocalcaemia.
BIOELECTRIC ACTIVITY OF CEREBRAL CORTEX IN PATIENTS WITH CYCLES OF ASSISTED REPRODUCTIVE TECHNOLOGIES

The mental state of patients and, to a greater extent, their psychological and psychoemotional features, have a great influence on fertility and, accordingly, on the result of infertility treatment by assisted reproductive technologies (ART). The aim of the study was to assess the bioelectrical activity of the cerebral cortex on the day of ovulation and the implantation window in the simulation of emotional stress in healthy women and patients in cycles of ART. A total of 64 reproductively healthy fertile spectrum), confirmed during the implantation window, confirms the hypothesis of a particular stressful vulnerability of the 21th-22th day of the menstrual cycle, which is fundamentally important for the successful implantation of blastocyst.
A Comparative Study of Different Machine Learning Techniques to Predict the Result of an Individual Student Using Previous Performances

—Machine learning is a sub-ﬁeld of computer science refers to a system’s ability to automatically learn from experience and predict new things using the learned knowledge. Different machine learning techniques can be used to predict the result of the students in examination using previous data. Machine learning models can recognize vulnerable students who are at risk and take early action to prevent them from failure. Here, a model was developed based on the academic performance of the students and their result in the SSC exam. This paper also shows a comparative study of different machine learning techniques for predicting student results. Five different machine learning techniques were used to demonstrate the proposed work. They are Naive Bayes, K-nearest Neighbours, Support Vector Machine, XG-boost, Multi-layer Perceptron. Data were preprocessed before ﬁtting into these classiﬁers. Among the ﬁve classiﬁers, MLP achieved the highest accuracy of 86.25%. Other classiﬁers also achieved a satisfactory result as all of them were above 80% accuracy. The results showed the effectiveness of machine learning techniques to predict the performance of the students.
STORIES AT THE SPOT DESIGNERS LEARNING FROM CAREGIVERS OF CHILDREN WITH AUTISM

Designers need insight into the needs and experiences of the people they are designing for. However, when these people are very different from the designer, it can be challenging for him or her to get an understanding of them. In this paper, designers learned about the needs and experiences of children with autism for their design project by means of direct contact with these children, and their caregivers. In this direct contact, designers and caregivers jointly used an observation tool called ‘Tick & Watch’. This tool is especially developed to support and stimulate designers and caregivers in remembering and discussing learning moments from direct contact with children with autism. This paper discusses how this tool optimizes the interaction between designers and caregivers in user observations.
MHC-independent αβT cells: Lessons learned about thymic selection and MHC-restriction

Understanding the generation of an MHC-restricted T cell repertoire is the cornerstone of modern T cell immunology. The unique ability of αβT cells to only recognize peptide antigens presented by MHC molecules but not conformational antigens is referred to as MHC restriction. How MHC restriction is imposed on a very large T cell receptor (TCR) repertoire is still heavily debated. We recently proposed the selection model, which posits that newly re-arranged TCRs can structurally recognize a wide variety of antigens, ranging from peptides presented by MHC molecules to native proteins like cell surface markers. However, on a molecular level, the sequestration of the essential tyrosine kinase Lck by the coreceptors CD4 and CD8 allows only MHC-restricted TCRs to signal. In the absence of Lck sequestration, MHC-independent TCRs can signal and instruct the generation of mature αβT cells that can recognize native protein ligands. The selection model thus explains how only MHC-restricted TCRs can signal and survive thymic selection. In this review, we will discuss the genetic evidence that led to our selection model. We will summarize the selection mechanism and structural properties of MHC-independent TCRs and further discuss the various non-MHC ligands we have identified.
Consumers' Knowledge, Attitudes, and Practices Toward Calorie Labeling in Riyadh City, Saudi Arabia: A Cross-Sectional Assessment

Background Menu calorie labeling is a useful means to encourage consumers to be informed about healthy eating and food choices. It is projected as an innovative method that will change the food environment and increases consumers' awareness of calories. Objective This study aims to determine the consumer's knowledge, attitudes, and practices toward menu calorie labeling in Saudi Arabia. Methods This is a descriptive cross-sectional study involving 435 consumers in Saudi Arabia. The participants filled out an online electronic survey questionnaire that assesses the demographic factors, knowledge, attitudes, practices, and barriers toward menu calorie labeling. Logistic regression was performed to determine the predictor of attitudes of consumers toward menu calorie labeling. Results Of those 435 consumers, 50.1% were men, 33% were in the age group of 30–39, and 49.4% had a bachelor's degree. The majority of the participants reported that they can understand the calorie labels that were presented on the menus of the restaurants (N = 365, 83.9%). A high percentage of participants reported that calorie labeling encourages them to choose foods with a smaller number of calories (N = 387, 89%) and supported the posting of calorie content next to the price of the food items on the menus (N = 405, 93.1%). Barriers to using calorie labels were time-consuming and low-calorie food items are usually costly. Gender and educational attainment were found significantly associated with consumers' knowledge while marital status and BMI level were found significantly associated with attitudes and practices to using calorie labels (p < 0.05). Conclusion Overall, the participants had adequate knowledge and positive attitudes about menu calorie labeling in Saudi Arabia. Menu calorie labeling may be a useful policy tool for promoting healthy eating habits and appropriate caloric consumption.
Altered Brain Function Activity in Patients With Dysphagia After Cerebral Infarction: A Resting-State Functional Magnetic Resonance Imaging Study

Objective Dysphagia after cerebral infarction (DYS) has been detected in several brain regions through resting-state functional magnetic resonance imaging (rs-fMRI). In this study, we used two rs-fMRI measures to investigate the changes in brain function activity in DYS and their correlations with dysphagia severity. Method In this study, a total of 22 patients with DYS were compared with 30 patients without dysphagia (non-DYS) and matched for baseline characteristics. Then, rs-fMRI scans were performed in both groups, and regional homogeneity (ReHo) and fractional amplitude of low-frequency fluctuation (fALFF) values were calculated in both groups. The two-sample t-test was used to compare ReHo and fALFF between the groups. Pearson's correlation analysis was used to determine the correlations between the ReHo and fALFF of the abnormal brain regions and the scores of the Functional Oral Intake Scale (FOIS), the Standardized Bedside Swallowing Assessment (SSA), the Videofluoroscopic Swallowing Study (VFSS), and the Penetration-Aspiration Scale (PAS). Results Compared with the non-DYS group, the DYS group showed decreased ReHo values in the left thalamus, the left parietal lobe, and the right temporal lobe and significantly decreased fALFF values in the right middle temporal gyrus and the inferior parietal lobule. In the DYS group, the ReHo of the right temporal lobe was positively correlated with the SSA score and the PAS score (r = 0.704, p < 0.001 and r = 0.707, p < 0.001, respectively) but negatively correlated with the VFSS score (r = −0.741, p < 0.001). The ReHo of the left parietal lobe was positively correlated with SSA and PAS (r = 0.621, p = 0.002 and r = 0.682, p < 0.001, respectively) but negatively correlated with VFSS (r = −0.679, p = 0.001). Conclusion The changes in the brain function activity of these regions are related to dysphagia severity. The DYS group with high ReHo values in the right temporal and left parietal lobes had severe dysphagia.