Miracle-dz/UniFAR-FTUs huggingface dataset:
ISACCO: a corpus for investigating spoken and written language evelopment in Italian school–age children

English. We present ISACCO (Italian school–age children corpus), a new corpus of oral and written retellings of Italianspeaking children attending the primary school. All texts were digitalized and automatically enriched with linguistic information allowing preliminary explorations based on NLP features. Written retellings were also manually annotated with a typology of linguistic errors. The resource is conceived to support research and computational modeling of “later language acquisition”, with an emphasis for comparative assessment of oral and written language skills across early school grades. Italiano. Presentiamo ISACCO (Italian school–age children corpus), un nuovo corpus di riassunti orali e scritti prodotti da bambini italiani della scuola primaria. Tutti i testi sono stati digitalizzati e arricchiti automaticamente con informazione linguistica per consentire esplorazioni preliminari basate su caratteristiche estratte con strumenti di TAL. I riassunti scritti sono stati anche annotati a mano con una tipologia di errori linguistici. La risorsa è pensata per lo studio e la definizione di modelli computazionali degli stadi più avanzati del processo di acquisizione linguistica, con un’enfasi per la valutazione comparativa delle abilità linguistiche orali e scritte nei primi anni sco-
Design of a trapping system for monitoring the spatio-temporal occurrence of tsetse (Glossina spp.)

The deployment of 4 odour baited traps per km 2 is used as a standard in tsetse control projects and was used at two sites, Luke and Asossa, in Ethiopia. The so-obtained data were used to build maps of tsetse distribution and to identify areas with increased fly densities, referred to as hot spot. To render the control system more efficient, a method that allowed to optimise monitoring scheme, by reducing the number of traps and maintaining the previously reached levels of tsetse occurrence, was here described. From the original trap design, reduced trap arrangements were obtained, decreasing the number of traps from 33% to 66%. Variogram analysis and kriging interpolation of tsetse catches were performed and results obtained from reduced and complete arrangements were compared. At both sites, the geostatistical analysis showed that reliable information on spatio-temporal tsetse occurrences can be obtained by using every second trap resulting to a decrease in labour costs. Moreover, the method allowed detection of hot spots similar to the ones detected with the standard method. The remaining 50% of the traps used in the standard deployment strategy could be used for either extending the area under monitoring or for hot spot control purposes. The design and implementation of a cost-efficient monitoring system is the first step in an adaptive tsetse management system. This system has been tested at the Luke site where it resulted to costefficient tsetse control trap deployment, reduction in tsetse occurrences and disease prevalence in cattle, and increase in cattle productivity expressed as milk production, calving rates, and in areas being ploughed.
HerMES: CANDIDATE HIGH-REDSHIFT GALAXIES DISCOVERED WITH HERSCHEL/SPIRE,

We present a method for selecting z > 4 dusty, star-forming galaxies (DSFGs) using Herschel/Spectral and Photometric Imaging Receiver 250/350/500 μm flux densities to search for red sources. We apply this method to 21 deg2 of data from the HerMES survey to produce a catalog of 38 high-z candidates. Follow-up of the first five of these sources confirms that this method is efficient at selecting high-z DSFGs, with 4/5 at z = 4.3–6.3 (and the remaining source at z = 3.4), and that they are some of the most luminous dusty sources known. Comparison with previous DSFG samples, mostly selected at longer wavelengths (e.g., 850 μm) and in single-band surveys, shows that our method is much more efficient at selecting high-z DSFGs, in the sense that a much larger fraction are at z > 3. Correcting for the selection completeness and purity, we find that the number of bright (S500 μm ⩾ 30 mJy), red Herschel sources is 3.3 ± 0.8 deg−2. This is much higher than the number predicted by current models, suggesting that the DSFG population extends to higher redshifts than previously believed. If the shape of the luminosity function for high-z DSFGs is similar to that at z ∼ 2, rest-frame UV based studies may be missing a significant component of the star formation density at z = 4–6, even after correction for extinction.
Instantaneous power theory and applications to power conditioning

Preface. 1. Introduction. 1.1. Concepts and Evolution of Electric Power Theory. 1.2. Applications of the p-q Theory to Power Electronics Equipment. 1.3. Harmonic Voltages in Power Systems. 1.4. Identified and Unidentified Harmonic-Producing Loads. 1.5. Harmonic Current and Voltage Sources. 1.6. Basic Principles of Harmonic Compensation. 1.7. Basic Principles of Power Flow Control. References. 2. Electric Power Definitions: Background. 2.1. Power Definitions Under Sinusoidal Conditions. 2.2. Voltage and Current Phasors and the Complex Impedance. 2.3. Complex Power and Power Factor. 2.4. Concepts of Power Under Non-Sinusoidal Conditions -Conventional Approaches. 2.5. Electric Power in Three-Phase Systems. 2.6. Summary. References. 3 The Instantaneous Power Theory. 3.1. Basis of the p-q Theory. 3.2. The p-q Theory in Three-Phase, Three-Wire Systems. 3.3. The p-q Theory in Three-Phase, Four-Wire Systems. 3.4. Instantaneous abc Theory. 3.5. Comparisons between the p-q Theory and the abc Theory. 3.6. Summary. References. 4 Shunt Active Filters. 4.1. General Description of Shunt Active Filters. 4.2. Three-Phase, Three-Wire Shunt Active Filters. 4.3. Three-Phase, Four-Wire Shunt Active Filters. 4.4. Shunt Selective Harmonic Compensation. 4.5. Summary. References. 5 Hybrid and Series Active Filters. 5.1. Basic Series Active Filter. 5.2. Combined Series Active Filter and Shunt Passive Filter. 5.3. Series Active Filter Integrated with a Double-Series Diode Rectifier. 5.4. Comparisons Between Hybrid and Pure Active Filters. 5.5. Conclusions. References. 6 Combined Series and Shunt Power Conditioners. 6.1. The Unified Power Flow Controller (UPFC). 6.2. The Unified Power Quality Conditioner (UPQC). 6.3. The Universal Active Power Line Conditioner (UPLC). 6.4. Summary. References. Index.
P o S ( H a d r o n 2 0 1 7 ) 0 1 0 Phenomenology of Baryon Resonances

Results for light baryon spectroscopy by different collaborations and the state of the art in the subfield is reviewed. Highlights contain common efforts of different phenomenology groups and the impact of recent high-precision data from ELSA, JLab, MAMI, and other facilities. Questions will be addressed, on one side, of how to proceed to reach conclusive answers in baryon spectroscopy, and, on the other side, how phenomenology can be connected to theory in a meaningful way.
Bankruptcy among young users of credit card in Malaysia : a case study of RHB islamic (Menara Yayasan Tun Razak) bank customers.

Young users nowadays holding a numbers of Credit Card and it become a normal scenario right now. Some people claims that by having a numbers of credit cards, it will reflect someone socio economy status. Without realizing the impact of the excess usage of credit card young users were declaring bankrupt due to credit card debts. This paper reviews the bankruptcy among young users of credit card in Malaysia. The results disclose that the compulsive spending is more influenced towards the factors that lead to bankruptcy in the early age among credit card user.
Impact of a temporal sinusoidal phase modulation on the optical spectrum

We discuss the effects of imparting a temporal sinusoidal phase modulation to a continuous wave on the frequency spectrum. While a practical analytical solution to this problem already exists, we present here a physical interpretation based on interference processes. This simple model will help students better understand the origin of the oscillatory structure that can be observed in the resulting spectrum and that is characteristic of Bessel functions of the first kind. We illustrate our approach with an example from the field of optics.
A Rare Case of Multicentric Reticulohistiocytosis with Concurrent Rheumatoid Arthritis

Multicentric reticulohistiocytosis (MRH) is a rare multisystem macrophage disorder of unknown etiology characterized by papulonodular skin and mucosal lesions, rapidly progressive erosive symmetric polyarthritis, and inflammation of internal organs. Most often, it is misdiagnosed as rheumatoid arthritis (RA). Here, we report the case of a 60-year-old woman found to have features of both MRH and RA with positive rheumatoid factor and high titer of anti-cyclic citrullinated peptide antibody in serum. It was confirmed by a histopathology of skin lesions, which showed diffuse histiocytic infiltrate with multinucleated giant cells. She was treated with methotrexate, hydroxychloroquine, corticosteroids, and nonsteroidal anti-inflammatory drugs and bisphosphonate.
DEVELOPMENT AND ESTIMATION OF ANTI-INFLAMMATORY ACTIVITY OF TOPICAL ETORICOXIB EMULGEL BY CARRAGEENAN INDUCED PAW OEDEMA METHOD

Emulgel is one of the emerging topical drug delivery system for the delivery of hydrophobic drugs which overcome various disadvantages of ointments and creams such as greasiness and phase inversion. Etoricoxib is poorly aqueous soluble Non steroidal Anti-Inflammatory Drug (NSAID). It is used in osteoarthritis, rheumatoid arthritis, acute gouty arthritis, ankylosing spondylitis, low back pain, acute postoperative pain, and primary dysmenorrheal. Its oral delivery is associated with greater chance of adverse effects or therapeutic failure and large amount of drug is lost in the vicinity of the target organ. Also oral administration of etoricoxib causes gastro-intestinal irritation. The aim of the present study was to develop an emulgel formulations using the gelling agent like Carbopol 934 and HPMCK4M with emulsifiers like Span 20 and Tween 20. Six emulgel formulations were developed and evaluated on different parameters like physical appearance, pH, viscosity, extrudability, drug content, spreadability, In-vitro diffusion studies, and skin irritation test. Best formulation of batch EG1 was further evaluated for stability study and anti-inflammatory activity in carrageenan induced rat paw edema. Anti-inflammatory effect of formulation EG1 was compared with standard market product Indomethacin.
3D PDMS TRANSPARENT MICROMODELS SIMULATING A FOOD MATRIX: MICROMODEL FABRICATION PROTOCOL AND PRELIMINARY DRYING EXPERIMENTS.

Basically, micromodels are devices simulating a porous network and are useful tools for studying the transport mechanisms that govern the drying processes of pore structures such as in food. 2D micromodels have traditionally been fabricated with glass and resin and have been very effective instruments to observe and quantify liquid distribution and transport mechanisms involved in processes such as drying. Since they are built with rigid materials, phenomena such as shrinkage and matrix deformation can only be indirectly studied. A new method based on the traditional photolithographic technique has been developed to fabricate deformable micromodels. This technique uses an elastomeric material called polydimethylsiloxane (PDMS). This study describes the fabrication protocol for fabricating 3D deformable transparent PDMS micromodels with a log-normal pore size distribution and pore values ranging between 160 and 500 μm (μ = 200 μm and σ = 60 μm). This study provides preliminary results involving drying curves and shrinkage. PDMS micromodels are a useful tool to determine the liquid transport mechanism involved in drying and impregnation in porous structures that simulate a food matrix.
Adaptive Generalized Predictive Controller and Cartesian Force Control for Robot Arm Using Dynamics and Geometric Identification

In realistic situations such as human-robot interactions or contact tasks, robots must have the capacity to adapt accordingly to their environment, other processes and systems. Adaptive model based controllers, that requires accurate dynamic and geometric robot’s information, can be used. Accurate estimations of the inertial and geometric parameters of the robot and end-effector are essential for the controller to demonstrate a high performance. However, the identification of these parameters can be time-consuming and complex. Thus, in this paper, a framework based on an adaptive predictive control scheme and a fast dynamic and geometric identification process is proposed. This approach was demonstrated using a KUKA lightweight robot (LWR) in the performance of a force-controlled wall-painting task. In this study, the performances of a generalized predictive control (GPC), adaptive proportional derivative gravity compensation, and adaptive GPC (AGPC) were compared. The results revealed that predictive controllers are more suitable than adaptive PD controllers with gravitational compensation, owing to the use of well-identified geometric and inertial parameters.
A Markov Process Approach to Ensemble Control of Smart Buildings

This paper describes a step-by-step procedure that converts a physical model of a building into a Markov Process that characterizes energy consumption of this building. Relative to existing thermo-physics-based building models, the proposed procedure reduces model complexity and depends on fewer parameters, while also maintaining accuracy and feasibility sufficient for system-level analyses. Furthermore, the proposed Markov Process approach makes it possible to leverage real-time data streams available from intelligent building data acquisition systems, which are readily available in smart buildings, and merge it with physics-based and statistical models. Construction of the Markov Process naturally leads to a Markov Decision Process formulation, which describes optimal probabilistic control of a collection of similar buildings. The approach is illustrated using validated building data from Belgium.
Training community health nurses to measure parent–child interaction: a mixed-methods study

Abstract Background This study aims to determine whether the Parental Responsiveness Rating Scale (PaRRiS) completed at child age 24–30 months can be used by community child health nurses (CCHNs) to reliably measure the quality of parent–child interactions in practice. Methods A mixed-methods design was used involving CCHNs working in public health settings. Five CCHNs recruited from the North-East of England were trained to use PaRRiS. Thirty parent–child dyads attending their routine 24–30-month check were observed. Nurses rated parent–child dyads during 5 min of free-play using PaRRiS. The free-play sessions were video recorded and rated blind by the first author to the nurse observation. Semi-structured phone interviews were conducted with the five CCHNs once observations of parent–child interactions were complete. Interviews were audio-recorded, transcribed, anonymized and thematically analyzed. Results Two-thirds of participating parents were mothers. Half the families (15/30) were from the 10% most deprived areas based on the English Index of Multiple Deprivation. The average PaRRiS score was 3.03 [standard deviation (SD) = 0.8; all ratings were <5.0]. Reliability between the first author (‘gold standard’) and CCHNs was excellent [Intra-class correlation coefficient (ICC): 0.85; 95% confidence interval (CI): 0.67–0.93]. CCHNs found PaRRiS aligned well with current practice and was acceptable to parents. There was no evidence of a relationship between social disadvantage and PaRRiS scores. Conclusions With further development and evaluation work, PaRRiS could potentially be incorporated into existing universal health services to provide child health nurses with an additional tool for identifying families most likely to be in need of parent–child interaction interventions.
Learning Task Agnostic Sufficiently Accurate Models

For complex real-world systems, designing controllers are a difficult task. With the advent of neural networks as a proxy for complex function approximators, it has become popular to learn the controller directly. However, these controllers are specific to a given task and need to be relearned for a new task. Alternatively, one can learn just the model of the dynamical system and compose it with external controllers. Such a model is task (and controller) agnostic and must generalize well across the state space. This paper proposes learning a "sufficiently accurate" model of the dynamics that explicitly enforces small residual error on pre-defined parts of the state-space. We formulate task agnostic controller design for this learned model as an optimization problem with state and control constraints that is solved in an online fashion. We validate this approach in simulation using a challenging contact-based Ball-Paddle system.
A Novel Repetition Normalized Adversarial Reward for Headline Generation

While reinforcement learning can effectively improve language generation models, it often suffers from generating incoherent and repetitive phrases [1]. In this paper, we propose a novel repetition normalized adversarial reward to mitigate these problems. Our repetition penalized reward can greatly reduce the repetition rate and adversarial training mitigates generating incoherent phrases. Our model significantly outperforms the baseline model on ROUGE-1 (+3.24), ROUGE-L (+2.25), and a decreased repetition-rate (−4.98%).
Bone mineral density is decreased in patients with systemic sclerosis and correlates with serum intact parathormone levels: A cross-sectional study

I refer to the distinguished study by Sharma et al.[1] published in June 2019 issue of the Indian Journal of Rheumatology. The authors revealed bone mineral density (BMD) in Indian patients with systemic sclerosis (SS) and verified whether an association existed between osteoporosis (OP) and SS. [1] They found that 28% of patients had OP of the lumbar spine, whereas 6% had OP of the femoral neck. Serum intact parathormone (iPTH) level was inversely correlated with low bone mass at the hip (P = 0.023, r2 = 0.121). Low bone mass did not correlate with age, postmenopausal status, corticosteroid use, low body mass index, serum 25 hydroxyvitamin D levels, disease duration, and the presence of interstitial lung disease or pulmonary arterial hypertension. [1] They concluded that low bone mass was highly prevailing in SS patients, and it was associated with increased serum iPTH levels. [1] The authors mentioned few study limitations that might cast suspicions on the accuracy of the study results. I assume that the following methodological limitations might be additionally relevant. In the study methodology, the authors obviously stated that “dual‐energy X‐ray absorptiometry (DXA) scan was performed using Hologic viewer 6.0 (Model‐Discovery A [S/N 87292]) at the lumbar spine and left femoral neck, and T scores and Z scores were calculated as per the manufacturer’s data. Patients with BMD T score ≤−1.00 were classified as “low bone mass,” and those with BMD T scores >−1.00 as “normal bone mass. ” OP was defined as a T score below − 2.5 standard deviation (SD), and osteopenia was defined as a T score between −1.0 SD and −2.5 SD below the young adult mean (WHO standards). ”[1] It is explicit that the interpretation of DXA results requires the employment of population‐specific reference values as evaluation of local and international reference databases for bone densitometry could result in different impacts on diagnostic decisions. [2] The reference ranges employed by Sharma et al.[1] are related to Caucasian population, and they are not worthy to be applied for Indian population. To my knowledge, Indian population‐specific normative BMD reference curves for the reliable interpretations of individual DXA values have already been constructed to be employed in clinical settings and researches. [3] I wonder why Sharma et al.[1] did not refer to that national normative data in the study methodology. I assume that employing national curves could yield more accurate results on the prevalence of OP and associated factors in SS patients.
Predicting Tongue Motion in Unlabeled Ultrasound Videos Using Convolutional Lstm Neural Networks

A challenge in speech production research is to predict future tongue movements based on a short period of past tongue movements. This study tackles speaker-dependent tongue motion prediction problem in unlabeled ultrasound videos with convolutional long short-term memory (ConvLSTM) networks. The model has been tested on two different ultrasound corpora. ConvLSTM outperforms 3-dimensional convolutional neural network (3DCNN) in predicting the 9th frames based on 8 preceding frames, and also demonstrates good capacity to predict only the tongue contours in future frames. Further tests reveal that ConvLSTM can also learn to predict tongue movements in more distant frames beyond the immediately following frames. Our codes are available at: https://github.com/shuiliwanwu/ConvLstm-ultrasound-videos.
Survival and Environmental Stress Resistance of Cronobacter sakazakii Exposed to Vacuum or Air Packaging and Stored at Different Temperatures

The aim of this study was to evaluate the survival of Cronobacter sakazakii exposed to vacuum or air packaging, then stored at 4, 10, or 25°C, and the environmental stress resistance of vacuum-packaged or air-packaged bacterial cells were determined by subjecting the cells to reconstituted infant formula at 50°C, in acid (simulated gastric fluid, pH = 3.5), and in bile salt [bile salt solution, 5% (wt/vol)]. A cocktail culture of C. sakazakii desiccated on the bottom of sterile petri plates was air-packaged or vacuum-packaged and then stored at 4, 10, or 25°C for 10 days. The viable cell populations during storage were examined, and the vacuum-packaged and air-packaged cells (stored at 10°C for 4 days) were subsequently exposed to heat, acid, or bile salt. The results show that the populations of vacuum-packaged and air-packaged C. sakazakii were reduced by 1.6 and 0.9 log colony-forming units (CFU)/ml at 4°C and by 1.6 and 1.3 log CFU/ml at 25°C, respectively, in 10 days. At 10°C, significant reductions of 3.1 and 2.4 log CFU/ml were observed for vacuum-packaged and air-packaged cells, respectively. Vacuum packaging followed by storage at 10°C for 4 days caused significant decreases in the resistance of C. sakazakii to heat, acid, and bile salt conditions compared with air packaging. These results suggest that the application of vacuum packaging for powdered infant formula could be useful to minimize the risk of C. sakazakii.
An Innovative Secure Approach to Detect Clone Node Intruder in Homogeneous Wireless Sensor Network

Detection of a cloned node intruder in Homogenous Wireless Sensor Networks has many useful applications in terms that they can be deployed in war zones for detecting intruder (enemies) and uniquely identifies them which help in preventing any harmful situation they can create when they continue to exist inside the system. This intrusion detection system is used to identify the mismatched, malicious, non-orientable nodes and false committing nodes. This paper, proposes a novel hub clone location convention method with various tradeoffs of execution and arranged conditions. First depends on a conveyed hash table, by which a completely decentralized, key-based storing and checking framework is developed to get cloned hubs successfully. Second depends on dispersed recognition convention, named arbitrarily coordinated investigation, introduces great correspondence execution for thick sensor systems, by a probabilistic coordinated sending method alongside irregular starting bearing and fringe assurance. The reproduction comes about maintain the convention outline and demonstrate its effectiveness on correspondence overhead and attractive identification probability.