Miracle-dz/UniFAR-FTUs huggingface dataset:
The Identification of Modeling Causes of Stunting Children Aged 2–5 Years in Aceh Province, Indonesia (Data Analysis of Nutritional Status Monitoring 2015)

BACKGROUND: The prevalence of stunting problems in toddlers in 2015 in Aceh Province has proven to be very high due to various factors ranging from a mother’s educational background to socioeconomic family. AIM: The purpose of this study was to identify models of factors that cause stunting in children aged 2–5 years in Aceh Province. METHODS: To be able to identify the problem above, this quantitative research was reported in a descriptive analytic form with a cross-sectional design that was successfully conducted from April to December 2019. The data collected were a combination of field observation review and documentation. To facilitate data analysis, univariate and bivariate and multivariate have been applied to see the validation and reliability of this research question. RESULTS: The results showed that the incidence of stunting in children included the level of education and knowledge of the mother, head of the family, number of family members, initiation of early breastfeeding, exclusive breastfeeding, age of weaning, supplementary feeding, and provision of Vitamin A (p < 0.05). The dominant factors affecting stunting were 16.7 times exclusive breastfeeding, 10.6 times because they were not given complementary feeding, 3.5 times because they did not get Vitamin A capsules, 1.7 times due to poor weaning age, and 1.5 times because the head of the family does not have a good income. Several variables did not affect the incidence of stunting, such as education of the head of the family (p = 0.482) and mother’s occupation (p = 0.992). CONCLUSION: Stunting is caused by direct and indirect factors. Models in dealing with stunting can be done by maximizing better breastfeeding.
A Comparison of Methods in Political Science Text Classification: Transfer Learning Language Models for Politics

Automated text classification has rapidly become an important tool for political analysis.Recent advancements in NLP enabled by advances in deep learning now achieve state of the art results in many standard tasks for the field. However, these methods require large amounts of both computing power and text data to learn the characteristics of the language, resources which are not always accessible to political scientists. One solution is a transfer learning approach, where knowledge learned in one area or source task is transferred to another area or a target task. A class of models that embody this approach are language models, which demonstrate extremely high levels of performance. We investigate the performance of these models in the political science by comparing multiple text classification methods. We find RoBERTa and XLNet, language models that rely on theTransformer, require fewer computing resources and less training data to perform on par with – or outperform – several political science text classification methods. Moreover, we find that the increase in accuracy is especially significant in the case of small labeled data, highlighting the potential for reducing the data-labeling cost of supervised methods for political scientists via the use of pretrained language models.
Dynamic Modeling of a Rotating Insect Wing

A dynamic model of an insect wing is developed treating the wing as a deformable body subject to three-dimensional finite rotation about a fixed point at the base of the wing. Discretization of a stationary wing is conducted via finite element analysis to determine the natural frequencies and mode shapes of the wing. By formulating and discretizing the kinetic and potential energy, we derive the equation of motion governing the modal response of a flapping wing using Lagranges equation. The equation of motion indicates Coriolis, Euler, and centrifugal forces resulting from the finite rotation are responsible for the wings elastic deformation. Numerical integration reveals a beat phenomenon that arises from the Coriolis excitation in the first vibration mode. The beat phenomenon is insensitive to yaw amplitudes and non-zero initial conditions but diminishes in the presence of damping. The beat phenomenon can potentially be used to estimate gyroscopic forces.
Irrigation Scheduling and Intercropping on Growth and Yield of Aerobic Rice

Rice is the predominant cereal that is cultivated in area of 43.1 million ha with a total production of 112.9 million tons and its average productivity is 2.6 tons ha -1 . In Tamil Nadu, rice is cultivated in the area of 1.82 million ha with the production of 8.0 million tons and productivity of 3.5 tons ha -1 (India stat, 2017 2018). Rice cultivated in the irrigated low land consuming a more amount of water for raising nursery, puddling, transplanting and irrigation. Additional water losses occur mainly through seepage, percolation and evaporation. It’s predicted that, it requires 4500 – 5000 liters of water to produce one kg of rice with different system of rice establishment. (Subramanian et al., 2008). Shifting gradually from lowland rice cultivation to aerobic rice system can mitigate the water related problems. Aerobic rice can save as more than 50 % of irrigation water along with labor, nutrients, and other inputs compared with irrigated lowland rice. (Mohana Keerthi et al., 2018). In aerobic rice, to follow an appropriate irrigation scheduling can reduce the water usage for rice production, without affecting the grain yield, increase the water productivity and effective International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 10 (2020) Journal homepage: http://www.ijcmas. com
Impact of Elevated Ozone on Growth, Yield and Nutritional Quality of Two Wheat Species in Northern India

Sensitivity to tropospheric ozone is highly variable in cultivars of different plant species. Wheat, an important cereal crop, has been found to be sensitive to elevated ozone levels leading to differences in grain yields. The objective of this study was to compare the effects of elevated tropospheric ozone on growth, yield and nutritional quality of two species of wheat, Triticum aestivum (PBW 343) and Triticum durum (HD 2936), which are tropical wheat cultivars commonly grown in northern India. Experiments were conducted growing winter wheat (rabi season) under elevated tropospheric ozone in northern India for two years in open-top chambers (OTCs) under charcoal-filtered air (CF), non-filtered air (NF), open air (OA) and elevated ozone (EO) concentration (NF + 25-35 ppb O3). There were different species responses to EO, with the modern aestivum wheat cultivar being more sensitive than durum wheat. The declines in all growth and yield parameters were greater in T. aestivum than T. durum in both the years. On average there was a 7% greater reduction in the photosynthetic rate and stomatal conductance in T. aestivum as compared to T. durum under EO at the flowering stage, and a 6% more reduction in leaf chlorophyll was observed on T. aestivum as compared to T. durum. Exposure to elevated O3 caused a decrease in the number of leaves and leaf area index, rubisco enzyme activity and chlorophyll in both the species. More reductions in grain yield were observed in T. aestivum (15 and 19%) as compared to T. durum (9 and 13%) under EO in the two years, respectively. Filtration of air significantly increased all growth and yield parameters in both species of wheat.
Damped Lyα Systems as Spiral Galaxies

It is shown that the distribution of element abundances with redshift in damped Lyα (DLA) systems can be adequately reproduced by the same evolutionary models reproducing the halo and disk components of the Milky Way Galaxy at different Galactocentric distances. In this sense, the DLA systems are well represented by normal spiral galaxies in their early evolutionary stages.
Infrared Contributions of X-Ray Selected Active Galactic Nuclei in Dusty Star-forming Galaxies

We investigate the infrared (IR) contribution from supermassive black hole activity versus host galaxy emission in the mid- to far-IR spectrum for a large sample of X-ray bright active galactic nuclei (AGN) residing in dusty, star-forming host galaxies. We select 703 AGN with erg s−1 at 0.1 < z < 5 from the Chandra XBoötes X-ray Survey with rich multiband observations in the optical to far-IR. This is the largest sample to date of X-ray AGN with mid- and far-IR detections that uses spectral energy distribution (SED) decomposition to determine intrinsic AGN and host galaxy IR luminosities. We determine weak or nonexistent relationships when averaging star formation activity as a function of AGN activity, but see stronger positive trends when averaging LX in bins of star-forming activity for AGN at low redshifts. We estimate an average dust covering factor (CF) of 33% based on IR SEDs and bolometric AGN luminosity, corresponding to a Type 2 AGN population of roughly a third. We also see a population of AGN that challenge the inclination-based unification model with individual dust CFs that contradict the nuclear obscuration expected from observed X-ray hardness ratios. We see no strong connection between AGN fractions in the IR and corresponding total IR, 24 μm, or X-ray luminosities. The average rest-frame AGN contribution as a function of IR wavelength shows significant (∼80%) contributions in the mid-IR that trail off at λ > 30 μm. Additionally, we provide a relation between observed LX and pure AGN IR output for high-z AGN, allowing future studies to estimate AGN IR contribution using only observed X-ray flux density estimates.
The Exact Bounded Solution to an Initial Boundary Value Problem for 1D Hyperbolic Equation with Interior Degeneracy. I. Separation of Variables

A 1-parameter initial boundary value problem for the linear homogeneous degenerate wave equation utt(t, x;α)−(a(x;α)ux(t, x;α))x = 0 (JODEA, 28(1), 1 – 42) in the space-time rectangle [0, T ]×[−1,+1], where a(x;α) vanishes as |x̄| in the subsegment [−c,+c] b [−1,+1], x = cx̄, and α ∈ (0, 2), is considered. The IBVP is splitted into three auxiliary IBVPs, involving two undetermined functions h1(t;α) and h2(t;α). The auxiliary IBVPs are solved using the method of separation of variables. The matching conditions to gain continuity of the solution u(t, x;α) to the IBVP and its flux are imposed on the solutions u1(t, x;α), u2(t, x;α), and u3(t, x;α) to the auxiliary IBVPs to derive a linear convolution integro-differential system with respect to h1(t;α) and h2(t;α).
Title Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two Views Permalink

This paper studies segmentation of multiple rigidbody motions in a 3-D dynamic scene under perspective camera projection. We consider dynamic scenes that contain both 3-D rigid-body structures and 2-D planar structures. Based on the well-known epipolar and homography constraints between two views, we propose a hybrid perspective constraint (HPC) to unify the representation of rigidbody and planar motions. Given a mixture of K hybrid perspective constraints, we propose an algebraic process to partition image correspondences to the individual 3-D motions, called Robust Algebraic Segmentation (RAS). Particularly, we prove that the joint distribution of image correspondences is uniquely determined by a set of (2K)-th degree polynomials, a global signature for the union of K motions of possibly mixed type. The first and second derivaS.R. Rao ( ) · Y. Ma Department of ECE, University of Illinois at Urbana-Champaign, Coordinate Science Laboratory, Urbana, IL 61801, USA e-mail: srrao@illinois.edu Y. Ma e-mail: yima@illinois.edu A.Y. Yang · S.S. Sastry Department of EECS, University of California, Cory Hall, Berkeley, CA 94720, USA A.Y. Yang e-mail: yang@eecs.berkeley. edu S.S. Sastry e-mail: sastry@eecs.berkeley. edu S.R. Rao HRL Laboratories, LLC, Malibu, CA 90265, USA Y. Ma Visual Computing Group, Microsoft Research Asia, Beijing, China tives of these polynomials provide a means to recover the association of the individual image samples to their respective motions. Finally, using robust statistics, we show that the polynomials can be robustly estimated in the presence of moderate image noise and outliers. We conduct extensive simulations and real experiments to validate the performance of the new algorithm. The results demonstrate that RAS achieves notably higher accuracy than most existing robust motion-segmentation methods, including random sample consensus (RANSAC) and its variations. The implementation of the algorithm is also two to three times faster than the existing methods. The implementation of the algorithm and the benchmark scripts are available at http:// perception.csl. illinois.edu/ras/.
PREVALENCE OF ANTIBIOTIC RESISTANCE AMONG ESCHERICHIA COLI ISOLATED FROM DIFFERENT CLINICAL SAMPLES IN ERBIL CITY / IRAQ

Escherichia coli. is an opportunistic nosocomial pathogen causing a variety of infections including urinary tract infections, gastrointestinal tract infections and vaginal tract infections, Antibiotic resistance in Escherichia coli is of particular concern because it is the most common Gram-negative pathogen in humans,the wild dissemination of antimicrobial resistance among bacterial populations is an increasing problem worldwide. Our study aimed to determine the antibiotic sensitivity pattern of E. coli isolated from different types. A total of 226 samples were collected from (urine, HVS and stool), collected from female 167 samples and from male 59 samples from privet Erbil hospital, Rabarin hospital and Rezgary hospital. Escherichia coli. isolated and identified by using microscopical, morphological, biochemical tests and Api and Vitek 2 compact system. Antibiotic susceptibility testing was performed by using Vitek 2 compact system according to the standard protocol aginst 13 antibiotecs which are ( Gentamycin, Ciprofloxacin, Imipenem, Cefepime, Ampicillin/sulbactam, Ertapenem, Trimethoprim/sulfamethoxazole, Tobramycin, Ceftriaxone, Cefazolin, ceftazidime, Levofloxacin, Piperacillin/tazobactum). :117 total positive results of Escherichia coli. isolates isolated from 226 different clinical specimens (urine, HVS and stool). The highest percentage of Escherichia coli. isolated from female urine sample 3(53.84%), HVS 33(28.20%) and stool 3 (2.56%)while from male urine (15.38%) , when performing of antibiotic susceptibility the rate highest resistance were to ceftazidime 95 (81.1%) followed by Cefazolin 89 ( 76.0%), Ceftriaxone and Cefepime 87 (74.3%), Trimethoprim/sulfamethoxazole 77 (65.8%), Ampicillin/sulbactam 70(59.8%), respectively, In contract the highest effective antibiotic against Escherichia coli were Imipenem 113( 96.5%),followed by Ertapenem 111(94.8%), Piperacillin/tazobactum 95(81.1%), Tobramycin 85 (72.6%), and Gentamycin 81 (69.2%) respectivly. Keyward: E.coli,antibiotic resistance. *CORRESPONDING AUTHOR Fattma A. Ali * Hawler Medical university/College of Health Sciences/Medical Microbiology Department/Iraq
Atmospheric 14C Variability Recorded in Tree Rings from Peninsular India: Implications for Fossil Fuel CO2 Emission and Atmospheric Transport

Radiocarbon analysis in annual rings of a teak tree (Tectona grandis) is reported in comparison with previously published results. Samples (disks) were collected from Hoshangabad (22°30′N, 78°E), Madhya Pradesh, in central India. The previously published sample was collected from Thane (19°12′N, 73°E), Maharashtra, near the west coast of India (Chakraborty et al. 1994). Two short Δ14C time series were reconstructed with these tree samples to capture the bomb peak of atmospheric 14C and the spatial variability in this record. These time series represent the periods 1954–1977 and 1959–1980 for Hoshangabad and Thane, respectively. The 14C peaks in these places appear around 1964–1965. The Hoshangabad tree records a peak Δ14C value of 708 ± 8%, which conforms to the peak value of Northern Hemisphere Zone 3 as described in Hua and Barbetti (2004). But the peak Δ14C at Thane is somewhat less (630 ± 8%) probably due to the dilution by fossil fuel CO2 free of 14C emanating from the neighboring industrial areas. This depletion of peak values has been used to estimate the local emission of fossil fuel CO2, which is approximately 2.3% of the background atmospheric CO2 concentration.
Management of Social Culture Development of Community Village Bobanehena Tourism, North Halmahera District

Tourism Village is a place that has certain characteristics and values that can be a special attraction for tourists with an interest in rural life. This shows that the main attraction of a tourist village is the unique life of the villagers and cannot be found in urban areas, for example showing the unique socio-cultural characteristics of the community. The purpose of this research is to find out that there is a socio-cultural development of the Bobanehena village community in advancing the tourism village. By using descriptive qualitative analysis methods can provide an objective picture of the actual state of the object being investigated. The results obtained are that the community's isorganization and perception of tourists are still weak, so that it affects the support and participation of the community in promoting tourism villages. The community does not yet understand the support that must be given in the progress and development of the Bobanehena tourism village.
Earnings Autocorrelation and the Post-Earnings-Announcement Drift – Experimental Evidence

Post-earnings-announcement drift (PEAD) is one of the most solidly documented asset pricing anomalies. We use the controlled conditions of an experimental lab to investigate whether earnings autocorrelation is the driving cause of this anomaly. We observe PEAD in settings with uncorrelated and correlated earnings surprises, implying that earnings autocorrelation is not a necessary condition for PEAD. It rather is a moderator, as the PEAD is stronger when earnings surprises are serially correlated. We further show that market prices underadjust to fundamental value changes, and that trading strategies can profitably exploit the PEAD. Besides offering new results regarding the PEAD-phenomenon, we thus provide a proof-of-concept for the ability of experiments to generate valuable insights into this asset pricing anomaly.
Studies on Risk of Listeriosis from Carabeef and Slaughter House Environment

Listeriosis is an important bacterial zoonosis caused by pathogenic strains of Listeria monocytogenes reported worldwide and reported in a variety of animal species and man. World Health Organisation (WHO) has characterised Listeriosis as a bacterial zoonotic disease with a severe threat to consumer’s safety with a high mortality rate (Adak et al., 2002). It is responsible for the second-highest case fatality (28%) among all the food-borne illnesses (Mead et al., 1999) and accounts for a 25-50% mortality rate (Pal et al, 2017). Two species of Listeriaare considered as pathogenic namely, L. monocytogenes and L. ivanovii.L. monocytogenes is recognised as an "emerging International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 10 (2020) Journal homepage: http://www.ijcmas. com
Speech Pathologists’ Perceptions of the Impact of Student Supervision

Qualitative studies have described clinician perspectives on student placements. These studies highlight likely contributors to placement shortages, but little is documented in speech pathology (SP). This article describes SP clinician perceptions of student impact/s on their clinical and other work tasks, stress levels and time management, and explores factors that may contribute to these perceptions of their experience. Interpretive description was selected to analyse public health sector SP clinician online survey responses. Open-ended questions explored clinician perceptions of student impact on specified components of their work as well as any other aspects clinicians identified. Thirty-four SP clinicians with varying caseloads and experience levels responded. Clinicians perceived that students can positively or negatively impact their clinical and non-clinical activities. Many also identified negative impacts on their stress levels. Some commented on differing impacts for patients and other colleagues. Collective themes of Clinician, Supervision Practices, Workplace, and Student are presented in a model of potential influences on the experience of student impact. SP clinicians perceived that experience of student impact is varied and complex. Influences are likely to be multi-factorial and further research is needed in a range of contexts to guide clinicians, managers and universities in supporting SP student clinical placements.
Assessment of Public Speaking Anxiety (PSA): A study based on the second year Law undergraduates in Kotelawala Defence University, Sri-Lanka

Eliminating the apprehension of public speaking is vital for law undergraduates to perform well as future attorneys and other legal professionals. A descriptive cross-sectional study assessed Public Speaking Anxiety (PSA) among all the (n=140) second-year law undergraduates who followed the compulsory public Speaking module in KDU, Sri-Lanka. A pre-tested, self-administered questionnaire followed by the Personal Report of Public Speaking Anxiety (PRPSA) scale developed by McCroskey was used for data collection. Data was analysed using descriptive statistics, t-test, and one-way ANOVA in SPSS 23.0. All the participants had a 'low' level of PSA. The majority (90.9%: n=100) had the previous experience of performing in front of an audience, and 60% (n=66) were involved in extra-curricular activities related to public speaking. However, the majority (75.5%: n=83) had not followed any course related to public speaking. The mean of the PRPSA score was significantly different between the students who had participated in extra-curricular activities related to public speaking and the ones who had not (P=0.030). Tukey post hoc test on a one-way ANOVA revealed that the students who had participated in debating had a significant mean difference in PRPSA score with the students who had taken part in Toastmasters (P=0.000) and with those who had not participated in any activity related to public speaking (P=0.000). Previous exposure and having a compulsory course module on public speaking were identified as the critical elements in reducing the PSA among the law undergraduates. It would lead to the transformation of self-confidence and ultimately, a positive transformation in their professionalism and personality. Keywords - Public Speaking Anxiety, Law Undergraduates, University Education, Communication Apprehension
A Tractable Monetary Model under General Preferences TSZ-NGA

This paper studies an economy with both centralised and decentralised monetary exchanges under search frictions. A degenerate asset distribution is featured under a broad class of preferences including, for example, constant return to scale, constant elasticity of substitution, CARA and others from a range of macroeconomic literatures. Some novel applications impossible under quasi-linear preferences, for example endogenous growth, are illustrated under this class of preferences. This paper finds that the welfare cost and growth loss of inflation can be much higher in these applications than previous estimates.