Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultrasound detection using polymer microring optical resonator

Application of polymer waveguide microring resonators for high-frequency ultrasound detection is presented. The device consists of a microring optical resonator coupled to a straight optical waveguide which serves as input and output ports. Acoustic waves irradiating the ring waveguide induce strain modifying the waveguide cross section. As a consequence, the effective refractive index of optical waves propagating along the ring is modified. The sharp wavelength dependence of the high Q-factor resonator enhances the optical response to acoustic strain. High sensitivity is demonstrated experimentally in detecting broadband ultrasound pulses from a 10MHz transducer. Methods of extending the technique to form multi-element ultrasonic arrays for imaging applications are proposed.
The Morphological Component of a Joint Morphological-Distributional Class Language Model

Modeling of out-of-vocabulary (OOV) words, i.e. words that do not occur in the training corpus but in the natural language processing (NLP) task at hand, is a challenging problem of statistical language modeling. We empirically investigate the relation between word context, word class and word morphology in English and present a class-based language model, which groups rare words of similar morphology together. The model improves the prediction of words after histories containing out-of-vocabulary words. The morphological features used are obtained without the use of labeled data, but produce a number of syntactically and even semantically related clusters. The overall perplexity improvement achieved by our model is 4% compared to a state of the art Kneser-Ney model and 81% on unknown histories. We conclude that the usage of morphological features in English language modeling is worthwhile.
A Performance Management Framework for Social EnterprisesThe case of value chains for solar lighting kits in Sub-Saharan Africa

This study develops a Performance Management Framework (PMF) for social Pico-PV enterprises, enabling them to manage and improve their value chain performance. We accomplished this by adapting the classical Balanced Scorecard (BSC) by Kaplan & Norton after selecting it from a shortlist of PMFs. In the adaptation process, the scorecard was filled with generic indicators and continuously reviewed and evaluated during five expert interviews. We found that a) strategically important social and environmental stakeholder groups are spread over the value chain and (b) they may all be of equal importance, thus may take a position as an ‘end in themselves’, as well as (c) the presence of conventional enterprises competing for the same customers. Consequently, a ‘Vision Driver’ sub-category was added next to the Performance Drivers described in the classical BSC. Eventually, a version of the framework was validated using a questionnaire answered by eight industry experts along with 22 generic KPIs. The findings support the complementary value of the developed PMF as a management tool and show a strong need for better performance management, specifically in SMEs. Finally, we suggest to empirically test more harmonized sets of KPIs to move from a management to a measurement tool.
Prevalence of Anxiety and Depression in Mexican Migrant Farmworkers: A Review of the Literature

The purpose of this literature review is to provide a comprehensive review on the topic of Mexican migrant farmworkers’ mental health. Specifically, this review focuses on the prevalence rates of anxiety and depression, as well as the role of sociocultural and demographic variables in the prevalence of symptomatology for this population. A critical review of the studies’ methodologies and conclusions is presented in order to provide valuable information for health practitioners, public policy makers, and researchers alike who work with this population. Overall, approximately 25% to 33% of all Mexican migrant farmworkers are likely struggling with mental health concerns. Specifically, workers in the Midwest and East Coast endorsed significantly high levels of depression and anxiety symptomatology. The lifetime prevalence rates of depression and anxiety amongst this population were lower than those of non-farmworker Mexican immigrants. Rates of depression and anxiety were increased by specific variables related to social support/social isolation, religion and religiosity, acculturation and acculturative stress, psychological ambivalence and perceived control about being a migrant farmworker, and living and working conditions. Mexican migrant farmworkers are a population in need. Attention to variables associated with migrant farmworkers’ living and working conditions can have a positive effect in reducing symptoms. This review highlights the needs of this community and signals a call to action for individuals who provide services to Mexican migrant farmworkers living in the United States.
Micronutrients as an Innovation Opportunity for the Pharmaceutical Industry: A Case Study of Vitamin D in Brazil

This paper aims to demonstrate the micronutrients as an attractive alternative of innovation for Pharmaceutical Industries with limited resources. A case study of vitamin D as a pharmaceutical supplement is launched in the Brazilian Market. The results demonstrate that some opportunities of several new products for populations with nutritional deficiency—the so-called micronutrients for hidden hunger, that is any deficiency unnoticed where micronutrients assume metabolic functions in humans. This deficiency unnoticed lead to disease onset or an organism dysfunction. WHO estimate that more than 2 billion humans are affected by hidden hunger. Scientific studies show that these ills cause serious problems for pregnant women, elderly and children. Thus, the micronutrients in a normal diet comes up the news opportunities for pharmaceuticals industries as well as vitamin supplements. Pharmaceutical industry is the most innovative company in healthcare. Launcher a blockbuster as a new product through of radical innovation is so hard and with higher costs. In this sense, the micronutrients are an attractive alternative of innovation for pharmaceutical industries with limited financial resources. So, pharmaceutical supplements appear as an incremental innovation of known chemical substances.
Income Development and Sigma convergence in South–South Agreement Areas

Some of the new trade and economic geography theory findings are quite critical concerning the so called South-South-agreements. This study contributes to this discussion by means of an empirical analysis of a representative set of South-South integration areas. Sperlich and Sperlich (2011) have proven that these promote growth and betaconvergence. Here we analyse the income developments of its member states and check for income (sigma) convergence in each area. The results show that income dispersion does not generally decrease although we find some indications of sigma convergence. Furthermore, even when we correct for possible business cycle effects in a rather generous way, the sigma path is hardly ever monotone. These findings will be placed in relation to growth models and beta convergence. All results are compared to existing studies on the particular integration areas.
Two-Sex Life Table and Predation Rate of Propylaea japonica Thunberg (Coleoptera: Coccinellidae) Fed on Myzus persicae (Sulzer) (Homoptera: Aphididae)

Abstract The life history data of the predator Propylaea japonica Thunberg at 25°C fed on Myzus persicae (Sulzer) were collected in the laboratory. To take both sexes and the variable developmental rate among individuals into consideration, the raw data were analyzed based on the age-stage, two-sex life table. The intrinsic rate of increase for P. japonica is 0.1133 d−1. The net reproductive rate is 67.6 offspring and the mean generation time is 37.7 days. To incorporate the age-stage variability of the predation rate with the two-sex life table, the daily predation rate of individual P. japonica of both sexes was collected for each predatory stage. The net predation rate for P. japonica is 1199.5 aphids.
Effect of species and harvest maturity on the fatty acids profile of tropical forages.

The aim of this study was to quantify the fatty acid (FA) content and composition of forages commonly fed to dairy animals in the tropics. Twelve forage species, namely, Trifolium alexandrinum, Cichorium intybus, Hordeum vulgare L. , Medicago sativa, Avena sativa, Pennisetum purpureum Setaria anceps, Sorghum almum, Panicum maximum, Rumex nepalensis, Panicum coloratum and Panicum antidotale were evaluated. Each forage species was grown in four replicate plots under standard agronomic conditions, and sampled at early, normal and late stages of maturity. The result of the present study showed that the chemical composition, dry matter digestibility and FA contents varied (P <0.001) among forage species and harvest maturity. Linolenic acid (C18:3n-3), palmitic acid (C16:0) and linoleic acid (C18:2n-6) were the predominant FAs with an average content of 8.65, 3.61 and 2.38 g/kg dry matter (DM), contributing on average to 53%, 22% and 14% of the total measured FAs, respectively. Among the individual FAs, C18:3n-3 had the largest variation ranging from 4.26 to 17.43 g/kg DM at first harvest. The content of C16:0, C18:2n-6 and C18:3n-3 decreased (P <0.001) with maturity, with the largest decrease being observed in C18:3n-3. This study highlights that harvest management is an important tool to manipulate the FA contents and composition within a forage species
THE EFFECT OF INTERNALIZED OF VALUES ORGANIZATIONAL CULTURE IN RELATION TO ORGANIZATIONAL COMMITMENT: PT. PERTAMINA (PERSERO) UNIT II DUMAI REFINERY, INDONESIA CASE STUDY

The purpose of this study was to develop and test models of the internalization value of organizational culture that appears to determine the characteristics of organizational commitment among employees of PT. Pertamina (Persero) Unit II Dumai Refinery, Indonesia. The internalized of values organizational culture was related to the organizational commitment dimension (affective, normative, and continuance). Likewise, organizational commitment was correlated to the internalized of values organizational culture (clean, competitive, confident, customer focused, commercial, and capable). It seems that higher internalized of values organizational culture associated with higher of commitment in organization, vice versa. Internalized of values organizational culture dimensions interaction showed no greater value than organizational commitment based on sociodemographic variables, this shows demographic factors should know better human resources and cultural values.
Public versus Private Investment in Human Capital: Endogenous Growth and Income Inequality

In this paper, we present an overlapping generations model with heterogeneous agents in which human capital investment through formal schooling is the engine of growth. We use simple functional forms for preferences, technologies, and income distribution to highlight the distinction between economies with public education and those with private education. We find that income inequality declines more quickly under public education. On the other hand, private education yields greater per capita incomes unless the initial income inequality is sufficiently high. We also find that societies will choose public education if a majority of agents have incomes below average.
A New Approach to Solving Production-Appropriation Games with Many Heterogeneous Players

We set out a model of production and appropriation involving many players, who differ with respect to both resource endowments and productivities. We write down the model in a novel way that permits our analysis to avoid the proliferation of dimensions associated with the best response function approach as the number of heterogeneous players increases. We establish existence of a unique equilibrium in pure strategies, and carry out some comparative static exercises.
Ground-based lidar and microwave radiometry synergy for high vertical resolution absolute humidity profiling

Abstract. Continuous monitoring of atmospheric humidity profiles is important for many applications, e.g., assessment of atmospheric stability and cloud formation. Nowadays there are a wide variety of ground-based sensors for atmospheric humidity profiling. Unfortunately there is no single instrument able to provide a measurement with complete vertical coverage, high vertical and temporal resolution and good performance under all weather conditions, simultaneously. For example, Raman lidar (RL) measurements can provide water vapor with a high vertical resolution, albeit with limited vertical coverage, due to sunlight contamination and the presence of clouds. Microwave radiometers (MWRs) receive water vapor information throughout the troposphere, though their vertical resolution is poor. In this work, we present an MWR and RL system synergy, which aims to overcome the specific sensor limitations. The retrieval algorithm combining these two instruments is an optimal estimation method (OEM), which allows for an uncertainty analysis of the retrieved profiles. The OEM combines measurements and a priori information, taking the uncertainty of both into account. The measurement vector consists of a set of MWR brightness temperatures and RL water vapor profiles. The method is applied to a 2-month field campaign around Julich (Germany), focusing on clear sky periods. Different experiments are performed to analyze the improvements achieved via the synergy compared to the individual retrievals. When applying the combined retrieval, on average the theoretically determined absolute humidity uncertainty is reduced above the last usable lidar range by a factor of ∼ 2 with respect to the case where only RL measurements are used. The analysis in terms of degrees of freedom per signal reveal that most information is gained above the usable lidar range, especially important during daytime when the lidar vertical coverage is limited. The retrieved profiles are further evaluated using radiosounding and Global Position Satellite (GPS) water vapor measurements. In general, the benefit of the sensor combination is especially strong in regions where Raman lidar data are not available (i.e., blind regions, regions characterized by low signal-to-noise ratio), whereas if both instruments are available, RL dominates the retrieval. In the future, the method will be extended to cloudy conditions, when the impact of the MWR becomes stronger.
CONFIRMING THE EXISTENCE OF A QUIESCENT GALAXY POPULATION OUT TO z = 3: A STACKING ANALYSIS OF MID-, FAR-INFRARED, AND RADIO DATA

We performed a comprehensive stacking analysis on ∼14,200 quiescent galaxy (QG) candidates at z = 0–3 across mid-, far-infrared (MIR and FIR), and radio wavelengths. Identified via their rest-frame NUV − r and r − J colors, the QG candidates ( M ⋆ = 10 9.8 – 12.2 M ⊙ ? > ) have drastically different IR and radio properties depending on their 24 μm emission strength. The fraction of QG candidates with strong 24 μm emission (equivalent to inferred star formation rates SFR 24 ≥ 100 M ⊙ yr − 1 ? > , hereafter “IR-bright”) increases with redshift and peaks at 15%, and their stacked MIPS 24 μm, Herschel (PACS and SPIRE) and VLA emissions are consistent with being star-forming galaxies (SFGs). In contrast, the majority of QG candidates are faint or undetected at 24 μm individually (i.e., SFR24 < 100 M⊙ yr−1, hereafter “IR-faint”). Their low dust-obscured SFRs derived from Herschel stacking (SFRH ≲ 3, 15, 50 M⊙ yr−1 out to z ∼ 1, 2, 3) are >2.5–12.5× lower than compared to SFGs. This is consistent with the quiescence, as expected from their low unobscured SFRs, as inferred from modeling their ultraviolet-to-NIR photometry. The discrepancy between the LIR derived from stacking Herschel and 24 μm indicates that IR-faint QGs have dust SEDs that are different from those of SFGs. For the most massive ( M ⋆ ≥ 10 11 M ⊙ ? > ) IR-faint QGs at z < 1.5, the stacked 1.4 GHz emission is in excess of that expected from other SFR indicators, suggesting a widespread presence of low-luminosity active galactic nuclei. Our results reaffirm the existence of a significant population of QGs out to z = 3, thus corroborating the need to quench star formation in galaxies at early epochs.
Sharing Emotional Information Using A Three Layer Model

In this study, we present a generic model to exchange emotional states information between heterogeneous multi-modal applications. Our proposal is composed of three distinct layers: the psychological layer, the formal computational layer and the language layer. The first layer represents the psychological theory adopted in our approach, The second layer is based on a formal multidimensional model. It matches with the psychological approach of the previous layer. The final layer uses XML to generate the final emotional data to be transferred through the network. The remainder of this article describes each layer of our model. The proposed model enables the exchange of the emotional states regardless to the modalities and sensors used in the detection step. Moreover our model permits to model not only the basic emotions (e.g., anger, sadness, fear) but also different types of complex emotions like simulated and masked emotions. Keywords-emotion, multimodality, three layers model, Plutchik model, emotional exchanges, multidimensional spaces.
The impact of dapagliflozin on cardiovascular system in the course of type 2 diabetes mellitus

The following paper is an attempt to revise current data and the results of clinical trials concerning the impact of dapagliflozin on long-term cardiovascular complications of type 2 diabetes mellitus. Short-term clinical trials, including relatively small groups of patients, suggest positive influence of dapagliflozin on the cardiovascular system. Currently ongoing long-term trials are likely to confirm these data, but so far we can assume that dapagliflozin not only acts as an efficient antihyperglycaemic drug, but also protects the circulatory system in patients with type 2 diabetes mellitus.
Nonholonomic Control Utilizing Kinematic Constraints of Differential and Ackermann Steering Based Platforms

A nonholonomic tracking controller is designed and adapted to work with both differential steering and Ackermann steering based platforms whose dynamics are represented using a unicycle model. The goal of this work is to find a relatively simple approach that offers a practical alternative to bulky and expensive algorithms, but still bolsters applicability where many other lightweight algorithms are too lax. The hope is that this alternative will offer a straightforward approach for groups interested in autonomous vehicle research, but who do not have the resources or personnel to implement more complex solutions. In the first phase of this work, saturation constraints based on differential drive kinematics are added to ensure that the vehicle behaves intuitively and does not exceed user defined limitations. A new strategy for mapping commands back into a viable envelope is introduced, and the restrictions are accounted for using Lyapunov stability criteria. This stage of work is validated through simulation and experimentation. Following the development of differential drive methods, similar techniques are applied to Ackermann steering kinematic constraints. An additional saturation algorithm is presented, which likewise is accounted for using Lyapunov stability criteria. As with the differential case, the Ackermann design is validated through simulation and experimentation. Overall, the results presented in this work demonstrate that the developed algorithms show significant promise and offer a lightweight, practical solution to the problem of vehicle tracking control. Nonholonomic Control Utilizing Kinematic Constraints of Differential and Ackermann Steering Based Platforms Adam Kenneth Shoemaker GENERAL AUDIENCE ABSTRACT In this work, a position controller for ground vehicles is developed. The algorithm takes into account the constraints of both Ackermann and differential drive platforms. A simplistic model is used for the initial development of this control algorithm, and more rigid constraints are added based on the intended platform. The goal of this work is to find a relatively simple approach that offers a practical alternative to bulky and expensive algorithms, but still bolsters applicability where many other lightweight algorithms are too lax. The hope is that this alternative will offer a straightforward approach for groups interested in autonomous vehicle research, but who do not have the resources or personnel to implement more complex solutions. Throughout this work, we present the theoretical development as well as simulation and experiments to verify the efficacy of our approach. Overall, the results presented in this work demonstrate that the developed algorithms show significant promise and offer a lightweight, practical solution to the problem of vehicle tracking control.
ANXIETY AND PAIN ASSOCIATED WITH PROCESS MAMMOGRAPHY: INFLUENCE OF PROCESS INFORMATION BEFORE

Introduction: This study was carried out with the aim of determining the effect of information given in a leaflet to women who are about have a mammography on levels of anxiety before the procedure and pain levels after the procedure Materials and Methods: This study consisted of 63 women. The data was “state anxiety scale” and “verbal category scale” before the experimental group went to the mammography unit, they were given information in a written leaflet, the control group was not. Before the procedures in the breast clinic and mammography unit anxiety was measured twice and pain levels were measured after the procedure in both group. Results: There was no difference (p>0.05) between the anxiety levels of the experimental (46.19±11.88) and control (46.41±12.73) groups in the breast clinic before their mammography’s (p>0.05), however in mammography unit the experimental group (35.35±10.30) was found (p= 0.00) to have lower anxiety levels than the control group (51.41±10.59). After the mammography in terms of pain, the difference between the groups was not found (p>0.05).
Optimality Conditions for Convex State Constrained Optimal Control Problems with Discontinuous States

We discuss first order optimality conditions for state constrained optimal control problems. Our concern is the treatment of problems, where the solution of the state equation is not known to be continuous, as in the case of boundary control in three space dimensions or optimal control with parabolic partial differential equations. We show existence of measure valued Lagrangian multipliers, which have just enough additional regularity to be applicable to all possibly discontinuous solutions of the state equation.
OPTIMISATION OF BUFFER SIZE FOR ENHANCING QOS OF VIDEO TRAFFIC USING CROSS LAYERED HYBRID TRANSPORT LAYER PROTOCOL APPROACH

Video streaming is gaining importance, with the wide popularity of multimedia rich applications in the Internet. Video streams are delay sensitive and require seamless flow for continuous visualization. Properly designed buffers offer a solution to queuing delay. The diagonally opposite QoS metrics associated with video traffic poses an optimization problem, in the design of buffers. This paper is a continuation of our previous work [1] and deals with the design of buffers. It aims at finding the optimum buffer size for enhancing QoS offered to video traffic. Network-centric QoS provisioning approach, along with hybrid transport layer protocol approach is adopted, to arrive at an optimum size which is independent of RTT. In this combinational approach, buffers of routers and end devices are designed to satisfy the various QoS parameters at the transport layer. OPNET Modeler is used to simulate environments for testing the design. Based on the results of simulation it is evident that the hybrid transport layer protocol approach is best suited for transmitting video traffic as it supports the economical design.