Miracle-dz/UniFAR-FTUs huggingface dataset:
Computational Analysis of Deep Visual Data for Quantifying Facial Expression Production

The computational analysis of facial expressions is an emerging research topic that could overcome the limitations of human perception and get quick and objective outcomes in the assessment of neurodevelopmental disorders (e.g., Autism Spectrum Disorders, ASD). Unfortunately, there have been only a few attempts to quantify facial expression production and most of the scientific literature aims at the easier task of recognizing if either a facial expression is present or not. Some attempts to face this challenging task exist but they do not provide a comprehensive study based on the comparison between human and automatic outcomes in quantifying children’s ability to produce basic emotions. Furthermore, these works do not exploit the latest solutions in computer vision and machine learning. Finally, they generally focus only on a homogeneous (in terms of cognitive capabilities) group of individuals. To fill this gap, in this paper some advanced computer vision and machine learning strategies are integrated into a framework aimed to computationally analyze how both ASD and typically developing children produce facial expressions. The framework locates and tracks a number of landmarks (virtual electromyography sensors) with the aim of monitoring facial muscle movements involved in facial expression production. The output of these virtual sensors is then fused to model the individual ability to produce facial expressions. Gathered computational outcomes have been correlated with the evaluation provided by psychologists and evidence has been given that shows how the proposed framework could be effectively exploited to deeply analyze the emotional competence of ASD children to produce facial expressions.
Revisiting the Relationship Between Contract Governance and Contractors’ Opportunistic Behavior in Construction Projects

Contracts are crucial for curbing opportunism, a common phenomenon in construction projects. This article differentiates among the contractual mechanisms of obligatoriness, monitoring, and coordination, and studies the relationships between the complexity of the above functions and different types of opportunistic behavior. Using data from 262 clients (i.e., the parties issuing contracts) in the Chinese construction industry, this article reveals that contractual obligatoriness has a negative effect on strong-form opportunistic behavior. At the same time, contractual monitoring and coordination have positive and negative effects, respectively, on weak-form opportunistic behavior. Furthermore, we find that goodwill trust mediates contractual coordination's effect on weak-form opportunistic behavior. This article contributes to both the contract management literature and the interorganizational relationship governance literature by providing more nuanced findings that speak to the debate surrounding the relationship between contractual governance and opportunistic behavior, elaborate the mediation mechanism, and provide insights into the contractual function view.
Fault Diagnosis for Planetary Gearbox Based on EMD and Deep Convolutional Neural Networks

： As the vibration signal of the planetary gearbox is usually nonstationary, a significant level of prior knowledge and diagnostic expertise is required to engineer and interpret features for fault diagnosis. In order to achieve intelligent diagnosis of the planetary gearbox, an intelligent fault diagnosis method based on empirical mode decomposition (EMD) and deep convolutional neural networks (DCNN) is proposed. Firstly, EMD is used to decompose the vibration signal to obtain intrinsic mode function (IMF) components. Then the IMFs with obvious fault character are fused through DCNN and features are extracted automatically. Finally, the learned features serve as the input parameters of classifier to classify working condition, and the atomization of the planetary gearbox fault diagnosis can be implemented. The experimental results show that the method can classify the working state and fault type of the planetary gearbox accurately and effectively.
Rule-Based Design for Multiple Nodes Upset Tolerant Latch Architecture

Many radiation hardened by design (RHBD) latch architectures have been presented in the literature. These architectures are designed such that these can tolerate a charged particle impact at multiple nodes of the latch. These architectures differ in terms of approach for developing single event upset (SEU) tolerance, area and other parameters. The literature survey and SEU fault simulation study reveal that some of the architectures have SEU critical internal node pairs while most of the architectures exhibit single point failure at input data node. In this work, SEU mechanisms in RHBD latches are analyzed and a new rule-based design is proposed for designing latches which can tolerate multiple nodes upset. Critical charge ( $\text{Q}_{crit}$ ) of the proposed latch architecture is found significantly higher than most of double node upset tolerant latches published. Area requirement, power consumption, and performance of the proposed latch are found comparable with the latches of same class. The proposed rule-based design methodology may become helpful in developing a computer-aided design tool for synthesis of multiple nodes upset tolerant latch.
Pattern and frequency of thyroid pathologies among thyroid cytology specimen in rural part of central India: A retrospective secondary data analysis

Background: Thyroid nodules are very frequent, with an annual incidence rate of 4-8%. Thyroid fine needle aspiration cytology (FNAC) is more than 50 years old and is the principal method of preoperative diagnosis in both children and adults. Aims: (1) To assess the pattern and frequency of thyroid lesions in cytology, (2) To study the correlation of thyroid lesions with different age groups (3) To identify the frequency benign and malignant thyroid lesions in cytology, (4) To report the thyroid lesions in Bethesda system of reporting pattern on cytology. Settings and Design: Rural Institute of Medical Science and research is a 750 bedded tertiary care institute. This is a retrospective study. Materials and Methods: 300 thyroid lesion (from December 2012 to May 2014) who attended the pathology department of Rural Institute of Medical Science and research was taken and association between variables and thyroid lesions were observed. Thyroid lesions were also classified according to Bethesda system of reporting. Statistical Analysis Used: SPSS. Results: Male to female ratio was 1:9. Frequency of benign thyroid lesions is 78% with the most common diagnosis being colloid nodule and colloid cyst. Thyroid malignancies were diagnosed in 5% cases. Bethesda category I included 11%, category II 78%, category III (AUS/FLUS) 2%, category IV (Follicular Neoplasm) 3%, category V (Suspicious of malignancy) 1%, category VI (malignant) 5%. Conclusions: Thyroid lesions can be efficiently classified on cytology.The Bethesda system has proved useful and helped improving communication between cytopathologists and clinicians leading to consistent management.
Ethnomedicine for Rheumatoid Arthritis by Tribes of Papikondalu Forest, Andhra Pradesh, India

Objective: The present study represents the information about the treatment of rheumatoid arthritis by the tribes of Papikondalu forest, Andhra Pradesh, India. Methods: The documented medicinal plants were labeled alphabetically with their voucher specimen number, family name, vernacular names, parts used and mode of administration. Results: A total of 26 medicinal plant species belonging to 25 genera and 22 families were recorded. Conclusions: The documented of these medicinal plants against rheumatoid arthritis that these ethnic people are still dependent on local vegetation for their life care. The indigenous knowledge available with these studies plays an important role in quick and proper identification of natural resources for rheumatoid arthritis.
Is inflammation a mechanism in arthrogenic TMJ Otalgia? É a inflamação um mecanismo na Otalgia com origem na ATM?

Objective. To test the hypothesis that otalgia occurs frequently in CMDs patients and increases with the severity of Temporomandibular internal derangements (TMJ-IDs). Method. 221 CMDs patients and two control groups were evaluated. We used clinical examination, questionnaires, biomechanical tests and established criteria for TMJ-IDs. Individuals were allocated to TMJ-ID groups to compare otalgia frequencies. Following assessment of frequency of otalgia in the CMD group, individuals were allocated to TMJ-ID subgroups with capsulitis, retrodiskal pain, disk-attachment pain, arthralgia and osteoarthritis (OA). Results. Otalgia frequency was higher in CMDs patients than in the two control groups and the difference was statisti cally significant (p<0.0001 and p<0.003). Otalgia frequency increased with the severity of TMJ-IDs (Chi-square trend analysis p<0.0001). Frequency of otalgia was higher in the disk attachment pain, arthralgia and osteoarthritis subgroups. Conclusion. The frequency of otal gia was higher in CMDs and increases with the severity of TMJ-ID. Those presenting more severe TMJ-IDs demonstrated higher frequen cies of otalgia. The results of this study suggest a relationship between disk displacement, stages of internal joint derangements, pain and TMJ otalgia.
Welfare, Partnership and Crime Reduction: aspects of court referral schemes for drug users

This paper describes and analyses three schemes initiated in magistrates' courts in England and Wales in which information about drugs and drug services is offered to court attenders (either by specialist workers or as part of a generic welfare information service) together with the opportunity for referral to services. Difficulties with making contacts in court were related to a number of factors, including, the layout of the court waiting areas, defendants' pre-hearing nerves and the lack of context for approaches. It is concluded that the way forward may be for court-based workers to offer a generic welfare service with multi-purpose information and referral, covering issues such as housing, debt and health as well as drugs.
Rehabilitation in Patients With Neuromuscular and Chest Wall Diseases

Respiratory failure can occur in a great number of diseases, only some of which are directly related to the lungs or airways. Respiratory rehabilitation initially focused on patients with chronic obstructive pulmonary disease (COPD), but was later applied to patients with limited functional capacity as a result of chronic respiratory insufficiency not associated with airway obstruction. In these patients, lung function is impaired by processes basically affecting the respiratory pump, such as neuromuscular or chest wall diseases. In this chapter we will discuss respiratory rehabilitation applied to such diseases.
Sonographers' experiences of breaking bad news in prenatal ultrasound : a phenomenological analysis

This project is a study of how sonographers break bad news to women during routine prenatal ultrasound scans. The sonographers' position, with respect to breaking bad news, is unique among healthcare professionals. Prenatal scans are designed to detect foetal abnormalities and are offered to all pregnant women as part of a nationwide screening programme in the UK. Ultrasound in pregnancy is, therefore, a medical test, but unlike most medical tests it has become a social ritual in western culture. Many women view the scan as a chance to see and meet their baby for the first time and to take home a picture. They are generally unaware of its screening function, which means that bad news arrives when it is least expected. The news is often divulged in real-time as abnormalities are detected, and this leaves little time for the sonographer to prepare prior to disclosure. What a sonographer does in the few moments following a positive scan result affects how the news is given and ultimately how it is received. A bad experience can leave women suffering long-term psychological effects. This thesis focuses on how sonographers cope in those few moments. The impetus behind this research is paucity of empirical work that has, to date, been carried out from the sonographer's perspective. This means there are few evidence-based guidelines available to assist them in the news-giving process. Current protocols, underpinned by research from the medical profession, suggest that health professionals should prepare to give bad news in advance of meeting the patient. Such advice, however, fails to address the immediate and unexpected nature of bad news in the ultrasound scenario. This project offers an in-depth phenomenological investigation into the experiences of nine sonographers who have been breaking bad news to pregnant women for between eight and twenty five years. Using Heidegger's fundamental ontology as a framework, the five-stage temporal structure of a routine prenatal scan was revealed, offering an insight into how distressing information might be communicated to women in a genuinely empathic manner. This structure suggests that what happens in the moments following the detection of a foetal abnormality depends on a background of phenomena which are revealed only through a sonographer's particular style of scanning and ethical comportment.
Knowledge and Usage of Internet among different professional students in India

1 Senior lecturer , Guru Nanak Dev Dental College and Research Institute, Sunam, Punjab, India 2 Senior lecturer , Genesis Institute of Dental Sciences and Research, Ferozepur, India 3 Reader, Genesis Institute of Dental Sciences and Research, Ferozepur, India 4 Senior lecturer , Genesis Institute of Dental Sciences and Research, Ferozepur, India 5 Senior lecturer, Pacific Dental College and Hospital, Udaipur, Rajasthan, India 6 Senior lecturer , AB Shetty Dental College and Hospital, India
Nutritional Composition of the Green Leaves of Quinoa (Chenopodium quinoa Willd.)

Quinoa (Chenopodium quinoa Willd.) grain is often eaten worldwide as a healthy food, but consuming nutrient-rich quinoa leaves as a leafy green vegetable is uncommon. This study evaluated the potentiality of leafy green quinoa as a major source of protein, amino acids, and minerals in the human diet. Also, the study compared the nutrient content of quinoa leaves with those of amaranth and spinach leaves. The proximate analysis of quinoa dry leaves showed a higher amount (g/100 g dry weight) of protein (37.05) than amaranth (27.45) and spinach (30.00 g). Furthermore, a lower amount of carbohydrate (34.03) was found in quinoa leaves compared to amaranth (47.90) and spinach (43.78 g). A higher amount of essential amino acids was found in quinoa leaves relative to those of amaranth and spinach. The highest amounts (mg/100 g dry weight) of minerals in quinoa dry leaves were copper (1.12), manganese (26.49), and potassium (8769.00 mg), followed by moderate amounts of calcium (1535.00), phosphorus (405.62), sodium (15.12), and zinc (6.79 mg). Our findings suggest that quinoa leaves can be consumed as a green vegetable with an excellent source of nutrients. Therefore, we endorse the inclusion of quinoa in the leafy green vegetable group.
A GaAs-Based Ultra-Wideband Common-Mode Filter Chip With Four Transmission Zeros and Equalization Integration

This article presents a novel circuit topology for ultra-wideband common-mode filter (CMF). The common-mode (CM) noise suppression stopband is enhanced by the capacitance coupling between two dual-mode LC tanks. Moreover, the RLC equalizers are integrated with the proposed CMF circuit topology to improve the signal integrity of the differential mode. Finally, the CMF chips are fabricated by the GaAs process for low-cost massive industry applications. For the CMF chip with equalizers, the measured differential-mode insertion losses are kept nearly constant at around −5 dB from dc to 8.1 GHz. The measured −10 dB CM stopband is from 2.2 to 9.4 GHz with a fractional bandwidth of 124%, which is the widest CM noise suppression stopband, compared with the other CMF chips based on the semiconductor process.
Interstory-interbuilding actuation schemes for seismic protection of adjacent identical buildings

Rows of closely adjacent buildings with similar dynamic characteristics are common building arrangements in residential areas. In this paper, we present a vibration control strategy for the seismic protection of this kind of multibuilding systems. The proposed approach uses an advanced Linear Matrix Inequality (LMI) computational procedure to carry out the integrated design of distributed multiactuation schemes that combine interbuilding linking devices with interstory actuators implemented at different levels of the buildings. The controller designs are formulated as static output-feedback H-infinity control problems that include the interstory drifts, interbuilding approachings and control efforts as controlled-output variables. The advantages of the LMI computational procedure are also exploited to design a fully-decentralized velocity-feedback controller, which can define a passive control system with high-performance characteristics. The main ideas are presented by means of a system of three adjacent five-story identical buildings, and a proper set of numerical simulations are conducted to demonstrate the behavior of the different control configurations. The obtained results indicate that interstory-interbuilding multiactuation schemes can be used to design effective vibration control systems for adjacent buildings with similar dynamic characteristics. Specifically, this kind of control systems is able to mitigate the vibrational response of the individual buildings while maintaining reduced levels of pounding risk.
Routes of Transimission of Hepatitis C Virus in an Endemic Rural Area of Japan Molecular Epidemiologic Study of Hepatitis C Virus Infection

We conducted an epidemiological study to investigate the routes of transmission of hepatitis C virus (HCV) infection in an area endemic for HCV. Subjects were the 857 adult inhabitants of K area, Japan. The prevalence of antibody to HCV (anti-HCV) was 26.3%. The HCV genotype 1b was the most prevalent (89.3%) among the anti-HCV positive subjects. Molecular evolutionary analysis, based on the nucleotide sequences of the HCV core region from 23 participants with type 1b, showed that the isolates were distributed into more than 1 group. Multivariate regression analysis demonstrated that an age over 40 years, a history of blood transfusion, the presence of antibody to hepatitis B core antigen (anti-HBc), or a history of surgery were each independently associated with the presence of anti-HCV. No significant differences in the presence of anti-HCV prevalence were observed between the wives of men positive for anti-HCV (33.3%) and age-matched women (36.4%), or between the husbands of women positive for anti-HCV .
Performance of a Passive Acoustic Linear Array in a Tidal Channel

Baseline ambient sound level assessment is important in quantifying anthropogenic noise contributions. Static acoustical sensing in high-flow conditions is complicated by pseudosound, or flow noise, caused by turbulent flow on the surface of a hydrophone. Signal processing methods are used to identify and suppress flow noise at low frequencies ($< $500 Hz) in data collected on a four-element horizontal hydrophone array in Minas Passage, a tidal channel in the Bay of Fundy, in October 2016. Spectral slope analysis is used to identify the frequencies at which the flow noise and ambient noise contributions to the recorded signal are equal, between 180 and 275 Hz for current speeds of 0.1 to 2.6 m/s, respectively. The maximum frequencies at which flow noise is observed, between 100 and 125 Hz over the same current speed range, are determined using analysis of the spatial coherence. The array's performance in the Minas Passage is quantified by an empirical relationship between flow speed and the spectral critical frequencies of the coherent output from the linear array. Coherent averaging (broadside beamforming) is demonstrated as a potential flow noise suppression technique, improving low-frequency passive acoustic monitoring in a high-energy tidal channel.
Weight Regain Prevention

IN BRIEF Long-term maintenance of weight loss is an important, but often elusive, goal. Diet and pharmacological treatments for obesity are generally effective at inducing 8-10% weight reductions by 6 months. Thereafter, weight regain is a common phenomenon. Maintenance-phase medication and individual and group follow-up slow weight regain such that weight reductions at program completion average 2-6, 2-7, and 2-7% greater, respectively, than those in control groups receiving no maintenance contact. Consistent and structured eating, frequent self-weighing, and high levels of physical activity acquired through short bouts of brisk walking are pragmatic recommendations to support weight regain prevention.
Identification of light sources using machine learning

The identification of light sources represents a task of utmost importance for the development of multiple photonic technologies. Over the last decades, the identification of light sources as diverse as sunlight, laser radiation and molecule fluorescence has relied on the collection of photon statistics or the implementation of quantum state tomography. In general, this task requires an extensive number of measurements to unveil the characteristic statistical fluctuations and correlation properties of light, particularly in the low-photon flux regime. In this article, we exploit the self-learning features of artificial neural networks and naive Bayes classifier to dramatically reduce the number of measurements required to discriminate thermal light from coherent light at the single-photon level. We demonstrate robust light identification with tens of measurements at mean photon numbers below one. Our work demonstrates an improvement in terms of the number of measurements of several orders of magnitude with respect to conventional schemes for characterization of light sources. Our work has important implications for multiple photonic technologies such as LIDAR and microscopy.
Bidirectional Buck–Boost Current-Fed Isolated DC–DC Converter and Its Modulation

In this article, a bidirectional buck–boost current-fed isolated dc–dc converter is proposed to realize the bidirectional and buck/boost voltage conversion and accordingly extend the operating range. The basic modulation is proposed and the operation principle is analyzed in detail. Furthermore, the voltage conversion ratio as the functions of the duty cycle ratio of the buck unit and shoot through ratio of the H-bridge converter is derived. The control rule of the two controllable variables is determined based on minimizing the average inductor current. In addition, the optimal starting moment of active period of the buck unit in the switching cycle is determined based on minimizing the inductor current ripple. The detailed experimental results verify the correctness and feasibility of the proposed topology and modulation.