Miracle-dz/UniFAR-FTUs huggingface dataset:
Oral motor intervention accelerates time to full oral feeding and discharge

Background: A Survival rate in early preterm infants has increased over the last 30 years, but many of these infants have medical and developmental problems. Difficulty with feeding and poor nutrition complications are common, which contribute to their readmission and morbidity. Objective: To purpose of this study was to assess whether an oral motor stimulation intervention can decrease the time to achieve full oral feeding and shorten the length of hospitalization in preterm infants. Design and Methods: Seventy-five preterm infants born at 30 to ≤ 32 weeks gestational age were randomly assigned to three groups to assess intervention effects. Two groups received the intervention once per day with varying different intervention doses across time, while the control group received a sham intervention. Results: The time needed to reach full oral feeding was significantly different among groups (P <0.0001). Infants who received the intervention from initiation of tube feedings until full oral feeding (high dose) gained full oral feedings and were discharged from the hospital earlier than the low dose and control groups (P = 0.0001). Infants in the high dose group were discharged 6 days earlier than controls and 4 days earlier than the low dose group. Conclusion: Oral motor stimulation intervention accelerated the time to full oral feeding and decreased the length of hospital stay.
ATOMISTIC MODELING OF THERMOPHYSICAL PROPERTIES OF COPPER IN THE REGION OF THE MELTING POINT

The method of molecular dynamics is used for calculation of thermodynamic properties of copper: pressure dependence of melting temperature and latent heat of melting and temperature dependence of specific heat, linear expansion and density. The obtained dependences are compared with experiment. The dependences found can be further used as inputs to the continuum model of pulsed laser heating of matter.
On Tikhonov functionals penalized by Bregman distances

Abstract We investigate Tikhonov regularization methods for nonlinear illposed problems in Banach spaces, where the penalty term is described by Bregman distances. We prove convergence and stability results. Moreover, using appropriate source conditions, we are able to derive rates of convergence in terms of Bregman distances. We also analyze an iterated Tikhonov method for nonlinear problems, where the penalization is given by an appropriate convex functional.
Grid Connected PV System Using ANFIS Based MPPT Controller in Real Time

This paper presents an efficient design and real time implementation of a complete model and control of grid connected photovoltaic (PV) array. To capture the maximum available solar power, Adaptive Neuro-Fuzzy Inference System (ANFIS) implemented in real time using dSPACE is proposed. An efficient and independent active and reactive P-Q power control is proposed and implemented to transfer the generated power to the grid using a voltage source converter (VSC). The proposed controllers are implemented along with the PV system considered in Real Time Digital Simulator (RTDS) and dSPACE 1104 controller to evaluate their effectiveness. By varying the irradiation and temperature, the effectiveness of the proposed PQ controller to transfer the generated power to the grid is examined. It is observed that the hardware in the loop results verify the superiority of the proposed approach.
AN INVESTIGATION OF POSITIONING ACCURACY TRANSMITTED BY 1 CONNECTED HEAVY VEHICLES USING DSRC 2 3 4

1 2 Recent developments in advanced transport technologies such as vehicle-to-vehicle 3 communications and Dedicated Short Range Communications (DSRC) led to an increased interest 4 in building safety vehicular applications that would prevent traffic collisions. Such applications 5 need a high level of performance and positioning accuracy in order to meet critical levels of road 6 safety. However, there is still a lack of practical performance measurements of standard 7 aftermarket DSRC systems, especially on a high number of heavy vehicles operating in large and 8 diverse areas. 9 10 This paper presents the results obtained from a research investigation undertaken into the 11 capabilities of current DSRC technology for meeting the positioning accuracy of road safety 12 applications. The available data sets contain almost 400 million Basic Safety Messages (BSMs) 13 transmitted by 58 heavy vehicles equipped with DSRC, operating on a daily basis on a 42 km test14 bed area in Illawarra, Australia. Firstly, as ground truth is not available, we conduct a comparative 15 analysis of positioning in the transmitted BSMs by using both Open Street Map and Google Street 16 Map as reference, and show that the latter provides better accuracy in positioning error 17 computation. Secondly, we present the results obtained when analyzing the five most active trucks 18 of the fleet, as well as the noise-prone areas in which false collision alerts were generated. Thirdly, 19 we apply gradient boosted decision trees on the data sets and identify that speed, elevation and 20 heading are the three most important factors that influence DSRC transmitted positioning error in 21 heavy vehicles. 22
Proactive Customer Service: Operational Benefits and Economic Frictions

Problem definition: We study a service setting where the provider has information about some customers’ future service needs and may initiate service for such customers proactively, if they agree to be flexible with respect to the timing of service delivery. Academic/practical relevance: Information about future customer-service needs is becoming increasingly available through remote monitoring systems and data analytics. However, the literature has not systematically examined proactive service as a tool that can be used to better match demand to service supply when customers are strategic. Methodology: We combine (i) queueing theory, and in particular a diffusion approximation developed specifically for this problem that allows us to derive analytic approximations for customer waiting times, with (ii) game theory, which captures customer incentives to adopt proactive service. Results: We show that proactive service can reduce customer waiting times, even if only a relatively small proportion of customers agree to be flexible, the information lead time is limited, and the system makes occasional errors in providing proactive service—in fact, we show that the system’s ability to tolerate errors increases with (nominal) utilization. Nevertheless, we show that these benefits may fail to materialize in equilibrium because of economic frictions: Customers will underadopt proactive service (due to free-riding) and overjoin the system (due to negative congestion-based externalities). We also show that the service provider can incentivize optimal customer behavior through appropriate pricing. Managerial implications: Our results suggest that proactive service may offer substantial operational benefits, but caution that it may fail to fulfill its potential due to customer self-interested behavior.
Design and Implementation of Efficient Advanced Encryption Standard Composite S-Box with CM-Mode

M.Sharmila Applied Electronics, Sri Balaji Chockalingam Engineering College, Arni Dr.K. Gunasekaran Professor/ECE Sri Balaji Chockalingam Engineering College,Arni. guna.k77@gmail.com AbstractAdvanced Encryption Standard is the most popular cryptographic security algorithm used for data protection and transmission. The paper proposes an implementation of the AES new MixColumn operation. In this paper, an enhanced MixColumn is designed for AES decryption through Very Large Scale Integration (VLSI) System design environment. In AES Mix-Column, large number of logic gates used to perform the multiplication of input stage bytes (output of shift row) and fixed defined state bytes. In order to decrease this problem, the redundant function of Mix-Column is eliminated and re-designed in this paper. Proposed model of Mix-Column minimizes 25% of logic gates compared with previous work. Further, the proposed Mix-Column of AES decryption achieves by improving the performance of area, delay and power consumption. The implementation of the transformation is optimized and increase speed.
Full wafer metrology for chemically graded thin films

Combinatorial CBVD (Chemical Beam Vapor Deposition) is a thin film deposition technology which has the ability to produce multi-element thin films with large controlled composition spread gradients. If functional characterizations can be carried out systematically and rapidly on such graded films over full wafers, they enable to identify precisely the best film composition for a given application, and CBVD then easily allows for the deposition of the optimized film homogeneously on large wafers. In this article, we demonstrate the efficiency of such a process development based on the optimization of new Transparent Conductive Oxide thin films (TCO) of few % Nb doped TiO2. We have developed a full wafer metrology instrument which maps the optical thickness and the sheet resistance with a lateral resolution below 400um. We discuss the performance of various algorithms to extract the optical thickness from the white light reflectance measurement in the case of very small thickness. The sheet resistance is measured with an array of four AFM-like conductive cantilevers, allowing accurate sheet resistance (R) measurement where the standard tungsten four probes destroy porous thin oxide films. Application of these measurements to several Nb doped TiO2 films deposited on 4" wafer by CBVD is presented.
TD-SLIP : A Better Predictive Model for Human Running

Simple spring-mass systems, such as the Spring-Loaded Inverted Pendulum (SLIP) model, are widely accepted in the literature both as accurate descriptive dynamical models for animal locomotion [3, 5] as well as the basis for numerous robots capable of dynamic locomotion [7, 11]. Most existing literature, however, focuses almost exclusively on telescoping leg models with only radial actuation, overlooking possible uses of hip torque actuation for running behaviors.
International Competitiveness of the Mediterranean Quartet: A Heterogeneous-Product Approach

The real effective exchange rate (REER) is the most commonly used measure for assessing international competitiveness. This paper develops a methodology to estimate the REER that incorporates two distinctive elements that are not considered in the current literature and applies it to the Mediterranean quartet (MQ) of Greece, Italy, Portugal, and Spain, whose common pattern of real appreciation has created concern in policy and academic circles. The two elements that this paper adds to the existing literature are (1) product heterogeneity when identifying each country's international competitors and their weights, and (2) a comprehensive treatment of services exports. Our refined measure suggests a modest reduction in the observed REER gap between the MQ countries and the other euro area countries. In particular, considering product heterogeneity and services exports implies a lower real appreciation from 1998 to 2006 on the order of 2 to 3 percent for all MQ countries. These are difference-in-difference estimates relative to the results obtained for the rest of the euro area countries using the same methodology.
Colored Magnetic Nanoparticles to Improve the Sustainability of Textile Dyeing

Current dyeing techniques face growing environmental and economic challenges due to high consumption of water, salts, auxiliaries and energy, and production of substantial amounts of industrial polluting wastewaters. This project demonstrated that colorants can be impregnated into magnetic nanoparticles to form a skin-core structure, and the resulting colored magnetic nanoparticles can be used as dyes to dye conventional textile fabrics. The colored magnetic nanoparticles can be easily dispersed in water and their movement can be controlled with a magnet. The resulting suspension was used to dye textile fabrics in the absence of salts and auxiliaries. The colored magnetic nanoparticles showed high affinity toward the fabrics, which could be due to the large surface area and high surface energy of the nanoparticles. The un-bonded dyes can be readily collected from the wastewater with a magnet, significantly simplifying the wastewater treatment process, pointing to a more environmentally friendly approach in
Optimal dynamic hedging in incomplete commodity futures markets

The main objective of this paper is to fill the gap in the literature by addressing, in a continuous-time context, the issue of using commodity futures as vehicles for hedging purposes. We derive optimal demands for commodity futures contracts by an unconstrained investor, who can freely trade on the underlying spot asset and on a discount bond. The investor, with a constant relative risk aversion, faces a dynamically incomplete market. A three-factor variant of the Schwartz (1997) model, incorporating the explanation of the convenience yield in terms of an embedded timing option, is used where the spot price, interest rates and the convenience yield are allowed to change randomly over time. However, the market price of risk is allowed to vary stochastically and assumed to be affine in the state variables for tractability. Our results show that, following the martingale route, optimal demand can be divided into a speculative term – the traditional mean variance component, and two terms hedging against unfavourable shifts in the opportunity set and exhibiting different behaviour. The first hedging term protects the investor against random fluctuation of the interest rate and translates into the covariance of the bond with that of the horizon of the investor, while the second hedging term is due to the stochastic behaviour of the (square) market price of risk and can be decomposed into three terms sharing fundamental properties with the classical Merton-Breeden components. JEL Classification: G11; G12; G13; D80
DSP Based Controller for various Power Electronics Converters Used in Micro-Grid

Although in recent years renewable energy is the targeted solution for energy crises, it is a friendly solution which is free from pollution. Development of Renewable Energy Sources (RES) arises from the requirement to increase the reliability, continuity of power supply and to reduce greenhouse effect, emission of carbon dioxide etc. However, the main disadvantages of RES are the uncontrollability and limited availability of resources. If these systems are not properly controlled, their connections to the utility can lead to grid instability or even failure. In this paper a control system/controllers based on DSP processors for energy management system of Micro-grid, is proposed. Processors and controllers are used with distributed power generation and power distribution in conjunction with Micro-grid. The referred papers explain the generation of Pulse Width Modulation (PWM) gated pulse signals using the Texas Instrument’s Digital Signal Processor (TI’s DSP) with the help of MATLAB Code/Simulink and Code Composer Studio (CCS). Main components for the switching and regulation of the power sources are DC-DC and AC-DC converters, for this purpose an efficient method is to use of digital controllers to reduce the control system’s size and cost. The conventional three-phase rectifier with bulky LC output filter has been widely used in the industries. By eliminating the bulky LC filter from the conventional diode rectifier without losing most of the advantages of the conventional rectifier, power conversion with high power factor can hence be achieved. The proposed scheme will be verified by MATLAB simulation and the implemented DSP processor will be tested with the buck/boost converter, isolated buck/boost converter model in both current control mode and voltage control mode and 3 phase rectifier to have regulated output for the load and unity power factor at supply side. Keywords—Digital Signal Processor (DSP), Pulse width modulation (PWM), Code composer studio (CCS)
Acceptability by Girolando heifers and nutritional value of erect prickly pear stored for different periods

The objective of this work was to evaluate the nutritional value of erect prickly pear (EPP) (Opuntia stricta), stored for different periods, and its acceptability by Girolando heifers. Five heifers were distributed in a 5x5 Latin square. The treatments were as follows: EPP without storage time; stored EPP for three post-harvest periods – 7, 14, and 21 days; and cochineal nopal cactus (CNC) (Nopalea cochenillifera) without storage time, as a control treatment. The diets offered to the animals were composed of cacti of the different treatments, as well as sugarcane silage and soybean meal, and were evaluated for their chemical composition, intake, and nutrient digestibility. The ingestive behavior of the heifers was evaluated. The cactus EPP did not differ from the CNC for organic matter, crude protein, neutral detergent fiber corrected for ash and protein, nonfibrous carbohydrates, total carbohydrates, ether extract, and mineral matter; however, EPP stored for different periods differed from CNC for dry matter and indigestible neutral detergent fiber. Heifer weights varied 1.35 kg with the low inclusion of concentrate in the diet. The cactus erect prickly pear maintains constant both its nutritional value and its acceptability to Girolando heifers, after storage for different periods up to 21 days.
316L Stainless Steel Manufactured by Selective Laser Melting and Its Biocompatibility with or without Hydroxyapatite Coating

To fabricate metallic 316L/HA (hydroxyapatite) materials which meet the requirements of an implant’s mechanical properties and bioactivity for its function as human bone replacement, selective laser melting (SLM) has been employed in this study to prepare a 316L stainless steel matrix, which was subsequently covered with a hydroxyapatite (HA) coating using the sol-gel method. High density (98.9%) as-printed parts were prepared using a laser power of 230 W and a scanning speed of 800 mm/s. Austenite and residual acicular ferrite existed in the microstructure of the as-printed 316L stainless steel, and the sub-grain was uniform, whose primary dendrite spacing was around 0.35 μm. The as-printed 316L stainless steel showed the highest Vickers hardness, elastic modulus, and tensile strength at ~ (~ means about; same applies below unless stated otherwise) 247 HV, ~214.2 GPa, and ~730 MPa, respectively. The elongation corresponding to the highest tensile strength was ~38.8%. The 316L/HA structure, measured by the Relative Growth Rate (RGR) value, exhibited no cell cytotoxicity, and presented better biocompatibility than the uncoated as-printed and as-cast 316L samples.
Supernova remnant evolution in uniform and non-uniform media

Aims. In this work numerical simulations showing the time evolution of supernova remnants (SNRs) in uniform and non-uniform interstellar medium (ISM) are presented. Methods. We use a hydrodynamic model including a kinematic calculation of the interstellar magnetic field. Important parameters influencing SNR evolution include the ejecta mass and energy of the remnant, as well as the ISM density and adiabatic index. Results. By varying these parameters we constructed an analytical expression giving the return time of the SNR reverse shock to the origin, in terms of these parameters. We also found that the reverse shock spends half of its time moving outward and the other half returning to the origin. Also computed is SNR evolution in non-uniform media where the blast wave moves from one medium into either a less or more dense medium. As the SNR moves into a medium of higher density a reflection wave is created at the interface between the two media which is driven back toward the center. This drives mass via a nonspherical flow away from the discontinuity. As this wave moves inward it also drags some of the ISM field lines (if the field is parallel with the interface) with it and heats the inside of the SNR resulting in larger temperatures in this region. When a SNR explodes in a medium with a high density and the blast wave propagates into a medium with a lower density, a cavity is being blown away changing the geometry of the high density region. Also, once the forward shock moves into the medium of less density a second reverse shock will start to evolve in this region.
Title : Positive and Negative Affectivity as Risk Factors for Heavy Drinking in The Second Half of Life : A Prospective Cohort Study

Aims: To estimate the prospective relations between levels of propensity to experience positive affect (PA) and propensity to experience negative affect (NA) and risk of heavy drinking in a cohort of Norwegians aged 40 to 80 years. Design: Clustered sampling was used to draw Norwegians aged 40 to 79 years in 2002/2003 (t1). The relationship between PA and NA measured at t1 and heavy drinking measured in 2007/2008 (t2) was estimated with random-intercept logistic regression. Setting: Norway Participants: 2 142 (44.0% men) who consumed M = 3.07 (SD = 3.15) UK units of alcohol on average per week and were intoxicated less than once per week at t1.
An Efficient Regression Testing Technique For Test Case Prioritization

Regression testing which is an expensive activity. Regression testing is used to verify the program correctness once it is modified. To ensure that the changes made to that program are correct and due to that change that has been made it should not affect the remaining portions in the program. If we execute all regression tests it will take more time to execute the excessive regression tests. Retest-all reruns all the test, consumes excess time. In regression testing selection technique selects the subset of test case from the test suite which reduces the time taken to retest the modified program . Since to make the regression testing to a cost effective manner the test cases are prioritized. We define an algorithm which provides maximum code coverage for a regression test suite.
Sustainable Supply Chain management in a small & medium scale industry – Fuzzy Logical Approach

As a developing country, economic and environmental performance has to be balanced in India. Sustainable supply chain management (SSCM) is emerging as an important proactive approach for Indian enterprises for improving environmental performance of processes and products in accordance with the requirements of environmental regulations. Various approaches for implementing green sustainable chain management practices have been proposed and recognized earlier, yet no investigation has identified the reliability and validity of such approaches particularly in small and medium scale industry. The fuzzy analytic hierarchy process method is applied to prioritize the relative importance of five dimensions and eighteen approaches among eleven small and medium scale enterprises. The findings indicate that these enterprises would emphasize in the crucial role of implementing green supply chain management. Establishing an environmental database of products, insisting on production systems and top management support are among the most important approaches. The results for the implications of sustainable supply chain management implementation in industry investigated in this work generate a generic hierarchy model for decision-makers who can prioritize those approaches for implementing sustainable supply chain management in the country.