Miracle-dz/UniFAR-FTUs huggingface dataset:
Antecedents to Creating Shared Value at Thai Waste-to-Energy Facilities

In 2015, 1.2 billion people, or 16% of the global population, did not have access to electricity. Simultaneously, solid waste generation reached 200 million tons annually, and is projected to exceed 11 million tons per day by 2100. Solutions must hence be found, with Waste-to-Energy conversion a strong but controversial and costly contender. By use of cluster sampling, a sample of 361 individuals was obtained, from which a confirmatory factor analysis and structural equation model was undertaken using LISREL 9.1. All causal factors in the model were shown to have a positive influence on the creation of shared value of the Waste-to-Energy Power Plant and the local community, with 68% of the variance of the factor affecting the creation of shared value. Ranked in importance, the variables were government policy, the Waste-to-Energy operators and community participation, with a total score of 0.83, 0.37 and 0.36, respectively.
Predicting Human Count through Environmental Sensing in Closed Indoor Settings

Detecting count of human beings accurately in a closed indoor environment is crucial in diverse application areas including search and rescue, surveillance, customer analytics, abnormal event detection, human gait characterization, congestion analysis and many more. Moreover, it has significant importance in preventing any intrusion in a secured indoor space such as a bank vault. Sensors-based technologies (for example camera, PR, etc.) are becoming more popular day by day as the regular methodologies are not good enough to ensure enhanced security in a closed indoor environment. As sensors used in these technologies have to be deployed in visible places, there exist possibilities of damaging the sensors by the intruder. Therefore, this paper proposes a novel methodology to detect human count in such closed indoor setting, which can be deployed in any hidden place. Here, human count is done based on four environmental gaseous parameters (Carbon Dioxide, Liquefied Petroleum Gas or LPG, Nitrogen Dioxide, and Sulfur Dioxide) and two weather parameters (temperature and humidity). Real experiments are done under closed controlled settings and counting is done using machine learning algorithms such as Bagging, Random-Forest, IBK, and J48. We achieve more than 99% accuracy for some of the classifiers in detecting the number of humans present.
Tauberian type theorem for operators with interpolation spectrum for Hölder classes

Abstract: We consider an invertible operator $ T$ on a Banach space $ X$ whose spectrum is an interpolating set for Holder classes. We show that if $ \Vert T^{n}\Vert=O(n^p)$, $ p\geq1$, $ \Vert T^{-n}\Vert=O(w_n)$ with $ n^q=o(w_n)$ $ \forall q\in\mathbb{N}$ and $ \sum_n 1/(n^{1-\alpha} (\log w_{n})^{1+\alpha})=+\infty$, then $ \Vert T^{-n}\Vert=O(n^{p+s})$ for all $ s > \tfrac{1}{2}$, assuming that $ (w_n)_{n\geq 1}$ satisfies suitable regularity conditions. When $ X$ is a Hilbert space and $ p=0$ (i.e. $ T$ is a contraction), we show that under the same assumptions, $ T$ is unitary and this is sharp.
Scoring Behavior of Native vs. Non-native Speaker Raters of Writing Exams

In performance testing, where judges provide scores on examinees’ abilities, program administrators may seek to ensure that raters are consistent in their interpretations of the scoring criteria. A Rasch analysis not only allows us to examine differences in rater consistency, but also to check for interactions between rater characteristics and scoring behavior. In this paper, we present the results of an analysis of rater severity in assessing students’ writing ability. Our main focus was to examine differences between native speaker (NS) and non-native speaker (NNS) raters. Results showed that raters differed in terms of severity, with NNS raters as a group more severe than NS raters. In addition, the severity of NNS raters varied more than that of the NS raters. Bias analysis indicated some rater-examinee bias and rater-domain bias in both NS raters and NNS raters, with the majority found among the NNS raters. The paper provides implications for training NNS raters. (153 words)
Computing the implied volatility in stochastic volatility models

The Black-Scholes model [6, 23] has gained wide recognition on financial markets. One of its shortcomings, however, is that it is inconsistent with most observed option prices. Although the model can still be used very efficiently, it has been proposed to relax its assumptions, and, for instance, to consider that the volatility of the underlying asset S is no longer a constant but rather a stochastic process. There are two well-known approaches to achieve this goal. In the first class of models, the volatility is assumed to depend on the variables t (time) and S, giving rise to the so-called local volatility models. The second one, conceptually more ambitious, considers that the volatility has a stochastic component of its own. In the latter, the number of factors is increased by the amount of stochastic factors entering the volatility modeling. Both models are of practical interest. In these contexts, it is relevant to express the resulting prices in terms of implied volatilities. Given a price, the Black-Scholes implied volatility is determined, for each given product (that is for each given strike and expiry date defining, say, the call option) as the unique value of the volatility parameter for which the BlackScholes pricing formula agrees with that given price. Actually, it is common practice on trading floors to quote and to observe prices in this way. A great advantage of having prices expressed in such dimensionless units is to provide easy comparison between products with different characteristics. In principle, the implied volatility can be inferred from computed options prices by inverting the Black-Scholes formula. It is more convenient, however, to directly analyze the implied volatility. Indeed, this approach allows us to shed light on qualitative properties that would otherwise be more difficult to establish. In particular, we derive here several asymptotic formulae that are of practical interest, for example, in the calibration problem. The latter—an inverse problem that consists
Spin-triplet vortex state in the topological superconductor CuxBi2Se3

We report on the observation of bulk superconductivity from dc magnetization measurements in a cylindrical single crystal of CuxBi2Se3. The magnitude of the magnetization in the Meissner state is very small and the magnetic-field dependence of the magnetization just above the lower critical field Hc1 is very different from those of usual type-II superconductors. We studied the character of the vortex state theoretically in a spin-triplet pairing superconductor and compared it with the experimental results. The results showed that, the superconductivity observed in CuxBi2Se3 is consistent with the spin-triplet pairing superconductivity with odd parity. We also observed a rapid relaxation phenomenon of the superconducting diamagnetism.
Hello Sunday Morning: Strategies used to support temporary alcohol abstinence through participation in an online health promotion program

ISSUE ADDRESSED Hello Sunday Morning (HSM) is an online program that encourages people to commit to a period of non-drinking and blog about their experiences. Among a sample of Victorian HSM users, we aimed to explore the barriers faced and the strategies adopted to maximise potential for achieving temporary abstinence. METHODS A content analysis of blog data from 154 HSM users (a total of 2844 blog posts) was undertaken by three researchers. Participants were predominantly women aged 30-50 years. RESULTS The most common barriers to achieving temporary alcohol abstinence reported by participants were stress and tiredness, pervasiveness of drinking in social life, negative effects from not drinking and negative reactions from others. The strategies most commonly implemented included drawing on HSM and other non-drinking networks, self-talk, engaging in non-alcohol-related activities and substituting alcohol with other drinks. CONCLUSIONS Although significant individual and systemic barriers to abstaining from alcohol were identified by HSM users, multiple strategies were identified and effectively utilised to overcome these barriers. SO WHAT? : We suggest that the virtual support from an online community with a shared interest in reducing their alcohol use appears to be a useful health promotion strategy for temporarily reducing consumption, particularly for women.
Family Structure and Child Well-Being : Examining the Role of Parental Social Connections

This paper examines the role of parental social connections in accounting for sub­ group differences in the influence of family structure on children. Our previous work found that white, but not black, children were negatively influenced by living in a single­ parent family (Dunifon and Kowaleski-Jones, 2002). This paper examines whether parental social connections account for such differences in the influence of family structure on child well-being. Using data from the 1988 to 2000 waves of the National Longitudinal Survey of Youth, we estimate fixed effect models that suggest a key role for living with a grandparent in accounting for the race difference in the influence of single-parenthood on children. In contrast, visiting friends and relatives did not explain differences in the relationship between single-parenthood and child delinquency within sub-groups.
HCV Extrahepatic Manifestations

Abstract Hepatitis C virus (HCV) has been shown to affect many tissues other than liver. However, of the many extrahepatic manifestations (EMs) that have been associated with HCV, including cryoglobulinemia, lymphoma, insulin resistance, type 2 diabetes and neurological disorders, only a few have been shown to be directly related to HCV infection of extrahepatic tissues. HCV-triggered immune-mediated mechanisms account for most of the EMs. It is estimated that up to 74% of patients with chronic hepatitis C can develop at least one EM. All HCV patients with EMs should be considered for antiviral therapy, although not all will resolve with sustained virological response.
Magnetosheath control of solar wind‐magnetosphere coupling efficiency

We examine the role of the magnetosheath in solar wind‐magnetosphere‐ionosphere coupling using the Time History of Events and Macroscale Interactions during Substorms plasma and magnetic field observations in the magnetosheath together with OMNI solar wind data and auroral electrojet recordings from the International Monitor for Auroral Geomagnetic Effects (IMAGE) magnetometer chain. We demonstrate that the electric field and Poynting flux reaching the magnetopause are not linear functions of the electric field and Poynting flux observed in the solar wind: the electric field and Poynting flux at the magnetopause during higher driving conditions are lower than those predicted from a linear function. We also show that the Poynting flux normal to the magnetopause is linearly correlated with the directly driven part of the auroral electrojets in the ionosphere. This indicates that the energy entering the magnetosphere in the form of the Poynting flux is directly responsible for driving the electrojets. Furthermore, we argue that the polar cap potential saturation discussed in the literature is associated with the way solar wind plasma gets processed during the bow shock crossing and motion within the magnetosheath.
Effect and mechanism of inhibition of PI3K/Akt/mTOR signal pathway on chronic neuropathic pain and spinal microglia in a rat model of chronic constriction injury

Objective To explore the effects of inhibition of PI3K/Akt/mTOR signal pathway on chronic neuropathic pain (CNP) and spinal microglia in a rat model of chronic constriction injury (CCI). Methods Male SD rats were assigned into control, sham, CCI, wortmannin, dimethyl sulfoxide (DMSO) and wortmannin-positive control groups. Paw withdrawal mechanical threshold (PWMT) and thermal withdrawal latency (TWL) were recorded. qRT-PCR and Western blotting were used to detect PI3K, Akt and mTOR expressions and their phosphorylation. OX-4 expression was detected by immunohistochemistry and glial fibrillary acidic protein (GFAP) and nerve growth factor (NGF) expressions by immunofluorescence. Results PWMT and TWL decreased in the CCI group than in the sham group on the 7th and 14th day after operation. Compared with the control and sham groups, the CCI group showed increased PI3K, Akt and mTOR mRNA expressions and elevated PI3K, p-Akt, p-mTOR and P70S6K protein expressions. More OX-42-positive cells and higher integrated optical density (IOD) of GFAP and NGF were found in the CCI group than the sham group at the 14th day after operation. Compared with the DMSO group, the wortmannin group had higher PWMT and TWL, decreased PI3K, Akt and mTOR mRNA expressions and reduced PI3K, p-Akt, p-mTOR and P70S6K protein expressions. Less OX-42-positive cells and lower IOD of GFAP and NGF were found in the wortmannin group than the DMSO group 14th day after operation. Conclusion Inhibition of PI3K/Akt/mTOR signal pathway may alleviate CNP and reduce microglia and GFAP and NGF expressions in marrow in a rat model of CCI.
Teacher and School Characteristics: Predictors of Student Achievement in Georgia Public Schools

Student achievement of fifth-grade students in 106 Georgia public schools in CRCT reading and mathematics was examined as a function of five characteristics of teachers and schools. The five independent variables used as predictors of CRCT scores were Title I status, teachers’ education level, teachers’ average years of experience, class size, and computer to student ratio. Designation as a Title I school was the strongest predictor of student achievement. When compared to non-Title I schools, Title I school status resulted in a higher percentage of students meeting CRCT standards in both reading and math and a lower percentage of students exceeding standards in both reading and mathematics. However, Title I school status also resulted in a higher percentage of students meeting standards on both the CRCT reading and mathematics. Class size seemed to have very little relationship to the overall achievement of fifth-grade students. Teacher quality revealed mixed, though generally positive results when correlated with student achievement. Even though Title I designation is indicative of positive outcomes for CRCT scores, these positive outcomes do not hold for every predictor.
Mothers' management of fever of children in Sabzevar

Background and Purpose: Fever is one of the most frequent disease symptoms and a common cause of emergency admissions in infants and children. Considering the alarming nature of fever and pivotal role of mothers in the management of this symptom in children, this study aimed to evaluate the ability of fever management among mothers in Sabzevar city, Iran. Materials and Methods: This cross-sectional study was conducted on 340 mothers with children aged less than 10 years referring to the healthcare centers of Sabzevar city, Iran in 2014. Data were collected using prepared checklists to assess the performance and ability of mothers in the management of fever. Data analysis was performed in SPSS V.20 using descriptive statistics, Mann-Whitney U test, and Kruskal-Wallis test. Results: In this study, mean score of fever management was 4.65±1.64, and 20.9% of the mothers used antipyretic drugs at the body temperature of 38°C to control the fever of children. In addition, 83.7% of the mothers used antipyretics during the night by waking the children. Our findings were indicative of a significant association between fever management and maternal age (P=0.048), education level (P=0.002), employment status (P<0.001), and referring to community healthcare centers (P<0.001). Conclusion: According to the results of this study, mothers with low education levels required training to promote their performance and conceptions regarding fever in order for the effective management of this common symptom in children.
Effect of Caecectomy on Body Weight Gain, Intestinal Characteristics and Enteric Gas Production in Goslings

Two experiments of four-week duration were conducted to investigate the effect of caecectomy on the intestinal characteristics, body weight gain and gas production in the caeca of White Roman goslings. In experiment I, forty eight 2-wk-old female goslings with similar body weight were randomly divided into four treatments: sham (SHAM), left side caecum removed (LSCR), right side caecum removed (RSCR) and both caeca removed (CAECECTOMY). Smimilarly, experiment II was conducted with twelve 5-wk- old male goslings in two treatments: SHAM and CAECECTOMY. Free choice water with ad libitum feed was provided during experiment. At the end of experiment I, goslings were sacrificed and gut length and weight were determined. At 7 and 9 wks of age, birds in experiment II were subjected to respiration calorimetry studies. In both experiments, final body weights were not affected by caecectomy. Results of experiment I indicated that caecectomy did not significantly affect the relative weight (g/100 g BW) of gizzard, small intestine, rectum and colon (p>0.05); however, the relative length of colon and rectum did increase (p<0.05). The remaining caecum did not show compensatory growth in both LSCR and RSCR treatments. In experiment II, results indicated that the average enteric methane production from the caecetomised goslings was significantly lower than that from the bird in SHAM goslings (p<0.05). In comparison with SHAM goslings, calorific loss from entric methane in caecetomised birds was lower (p<0.05). There was no effect of age on methane production. The enteric nitrous oxide production in caeca of goslings was very low with no significantly different between two treatments. (Asian-Aust. J. Anim. Sci. 2003. Vol 16, No. 7 : 1030-1034)
Exploring the thread-level parallelism for the next generation geophysical fluid modelling framework Fluidity-ICOM

In this paper, we highlight our progress in implementing a hybrid OpenMP-MPI version of the unstructured ﬁnite element application Fluidity-ICOM. We demonstrate that utilising non-blocking algorithms and libraries are critical to mixed-mode application so that it can achieve better parallel performance than the pure MPI version. In the matrix assembly kernels, the OpenMP parallel algorithm utilises graph colouring to identify independent sets of elements that can be assembled simultaneously with no race conditions. The TCMalloc are used here to tackle performance issues arising from automatic arrays memory allocations. The sparse linear systems deﬁned by various equations are solved by using threaded PETSc and HYPRE is utilised as a threaded preconditioner through the PETSc interface. Since unstructured ﬁnite element codes are well known to be memory bound, particular attention has to be paid to ccNUMA architectures where data locality is particularly important to achieve good intra-node scaling characteristics. With mixed mode MPI / OpenMP, Fluidity-ICOM can now run well above 32K cores job, which o ﬀ ers Fluidity-ICOM capability to solve the ”grand-challenge” problems.
Control of the Goos-Hänchen shift of a light beam via a coherent driving field

We present a proposal to manipulate the Goos-Haenchen shift of a light beam via a coherent control field, which is injected into a cavity configuration containing the two-level atomic medium. It is found that the lateral shifts of the reflected and transmitted probe beams can be easily controlled by adjusting the intensity and detuning of the control field. Using this scheme, the lateral shift at the fixed incident angle can be enhanced (positive or negative) under the suitable conditions on the control field, without changing the structure of the cavity.
Spatial-temporal patterns of functional feeding groups in mountain streams of Córdoba, Argentina

La estructura trofica de las comunidades bentonicas esta condicionada por la disponibilidad de recursos alimenticios, los cuales a su vez varian en funcion del tamano del arroyo, la cobertura y el tipo de sustrato. El objetivo de este trabajo fue analizar la distribucion de los grupos funcionales alimentarios de macroinvertebrados en diferentes habitats de arroyos serranos de la Provincia de Cordoba (Argentina) y examinar las variables ambientales que explican esta distribucion en la escala de habitat. Se consideraron cuatro arroyos en dos periodos hidrologicos (alto y bajo caudal) en los cuales se recolectaron tres muestras de bentos en rabiones y correderas de sustrato fino y grueso. Los colectores de deposito fueron dominantes en la mayoria de los habitats, arroyos y periodos hidrologicos, excepto en los rabiones durante el periodo de bajo caudal en el cual predominaron los colectores filtradores. Las variables mas importantes que explicaron la distribucion de los grupos funcionales a escala de habitat fueron la velocidad de la corriente, el tipo de sustrato y la abundancia de macroalgas y de ramas y hojas. La abundancia de los grupos funcionales vario en funcion de los arroyos, de los distintos habitats y de los periodos hidrologicos. La dominancia de los colectores demuestra la importancia del rol de este grupo funcional y que el detrito fino seria el recurso alimenticio principal en estos ecosistemas loticos. La fenologia y la forma de vida de las especies y la cantidad y calidad de materia organica retenida en cada habitat explicarian el patron espacio-temporal de variacion de los grupos funcionales alimentarios.
Stock Return Predictability and Model Uncertainty By Doron Avramov

We use Bayesian model averaging to analyze stock return predictability from a perspective of an investor who faces model uncertainty, or uncertainty about which economic variables should appear in the return forecasting model. Model uncertainty could be more important than the within-model parameter uncertainty, especially when economic variables are at their recently observed levels. The Bayesian approach to model uncertainty is consistent with the existence of out-of-sample predictability in contrast to the classic based analysis, which detects no such predictability. Moreover, the odds in favor of predictability are substantially higher for small-versus-large and high-versus-low book-to-market stocks.
Towards socio-economic theory and practice of regulation. Evidence from OECD countries and Bangladesh

Abstract This research analyses the impact of social factors on regulation. The institutional theory of regulation introduces additional principles of independence, accountability and transparency of regulatory agencies, however, the paper argues here for further extending the theoretical and practical scope of regulation by introducing additional social aspects such as the notions of participation, inclusion, credibility and ultimately, legitimacy. The theoretical framework is illustrated with an empirical research conducted using the existing infrastructure regulatory indicators for energy, transport and telecommunications developed by OECD and specially reconstructed infrastructure regulatory indicators for Bangladesh for the period of 1975–2013 to exactly mirror the OECD’s infrastructure indicators datasets. The empirical results appear to generally support the theoretical assumptions made in this paper and the argument for broadening the theory and practice of regulation by inclusion of social factors in addition to economic and technical aspects of the traditional theory of regulation. More specifically, the impact on regulation of various social factors such as trust, access to information and absence of corruption, that promote participation, inclusion, sense of ownership and consequently and ultimately legitimacy appear to be statistically significant for both OECD countries and Bangladesh.