Miracle-dz/UniFAR-FTUs huggingface dataset:
Socio-Economic and Demographic Correlates of Non-communicable Disease Risk Factors Among Adults in Saudi Arabia

Background: Over the past two decades, Saudi Arabia has made significant improvements in its population's health standards. These improvements have been coupled with an increase in risk factors related to non-communicable diseases (NCD) and a dramatic shift in the burden of disease profile. This study aims to provide empirical evidence on the socio-economic and demographic correlates of NCD risk factors among adults in Saudi Arabia. Methods: The data used for this study is secondary data derived from the Saudi Health Interview Survey (SHIS) conducted in 2013. The SHIS used a cross-sectional survey design to derive a multistage representative sample of adults to estimate the prevalence of NCD risk factors. Risk factors considered for analyses in this study were; current tobacco use, low fruit and vegetable consumption, low physical activity, overweight/obesity and hypertension. The survey covered all regions in Saudi Arabia using probability proportional to size measures. A total of 10,735 adults aged 15 years and above completed the survey questionnaire. Logistic regression analysis was conducted to examine the socio-economic and demographic correlates of NCD risk factors among adults in Saudi Arabia. Results: The prevalence of NCD risk factors were as follows: current tobacco use, 12.1%; low fruit and vegetable consumption, 87%; low physical activity, 94.9%; overweight/obesity 65.1%; and hypertension, 37.5%. The multivariate analysis results indicate that significant correlates of overweight/obesity and hypertension were being female, a government employee, income level, and education levels. On the other hand, current tobacco use and low fruit and vegetable consumption were generally associated with age, self-employment and being a student. For lifestyle factors, overweight/obesity was high among individuals who reported low fruit and vegetable consumption, while hypertension was high among current tobacco users and overweight/obese adults. All comparisons were statistically significant at p < 0.05. Conclusions: This study's findings indicate a high prevalence of chronic NCD risk factors in Saudi Arabia's adult population. This study implied that there is a need for a reduction in life-damaging behaviors among the adults through the adoption of healthy lifestyles such as physical activity and nutritious diets. Moreover, a reduction in the prevalence of chronic NCD risk factors among different socio-economic groups in Saudi Arabia through healthy lifestyles will have far-reaching results.
Hard templating pathways for the synthesis of nanostructured porous Co₃O₄

The present study is concerned with the nanocasting preparation of Co3O4 nanostructures employing two-dimensional (2D) hexagonal SBA-15 and three-dimensional (3D) cubic KIT-6 as hard templates. The influence of framework connectivity of the parent silica and loading of the cobalt source are studied in detail. Structures can be tailored as isolated or randomly organized Co3O4 nanowires or as highly ordered mesoporous Co3O4 networks retaining the symmetry of the silica parent using 2D hexagonal parent materials. Applying cubic KIT-6 silica with suitable wall thickness and degree of framework interconnectivity as a template, we can vary the pore size of mesostructured Co3O4 from 3 nm up to values as high as 10 nm. To verify the influence of surface properties and texture, we employed different mesoporous silicas that were conventionally calcined at 550 °C and equivalent silica materials microwave treated in the presence of a concentrated H2O2/HNO3 mixture. The parent silica materials and the resulting Co3O4 .
MPhotoplethysmogram’s Amplitude is Well Correlated with Beat-By-Beat Changes in Arterial Blood Pressure

Background: To describe the association of the amplitude of the photoplethysmographic waveform (PPG) with arterial pulse pressure (PP) and surrogates of vascular tone. Methods: In 26 anesthetized patients PPG amplitude, invasive arterial blood pressure, estimated vascular compliance (Cvasc) and Doppler resistive index (RI)/mean flow velocity (Vm) were recorded during changes in arterial blood pressure. These variables were analyzed as: 1) Group-averaged analysis: 20 beats were selected at different arterial pressure levels in each patient and then pooled together with data from all patients; 2) Individual analysis: PPG amplitude was correlated with PP and Cvasc beat-by-beat during ~ 5-10 minute recordings. Results: Group-averaged analysis included 111 episodes of arterial pressure variations. PPG amplitude decreased by 38% during hypertension (median 25 and 1st/3rd quartiles [24-41]%, p = 0.0001) and increased by 25% during hypotension (50[40-63]%, p = 0.0205) when compared to normotension (40[30-50]%). PP was higher (65[55-76] mmHg, p < 0.0001) and lower (30[27-39] mmHg, p < 0.0001) during hypertension and hypotension respectively when compared to normotension (44[38-51] mmHg). No statistical differences in RI were observed at different arterial pressure levels. At normotension, Vm was higher (20[14-25] cm/s) than during hypertension (18[10-26] cm/s; p = 0.0238) but lower compared to hypotension (21[15-26] cm/s; p = 0.0043). Beat by beat PPG amplitude was well correlated with PP (median rho = -0.84 [95% CI-0.98 to -0.73] and with CVasc (median rho = 0.96 [95% CI 0.99 to 0.85]; all p < 0.0001). Conclusions: Simple photoplethysmographic waveform analysis can provide reliable, real-time, non-invasive information regarding the status of the vascular tone helping to discriminate the cause of changes in arterial pressure in anesthetized patients.
Building Large Scale Text Corpus for Joint Word Segmentation and Part-of-Speech Tagging of Myanmar Language

In Natural Language Processing (NLP), Word segmentation and Part-of-Speech (POS) tagging are fundamental tasks. The POS information is also necessary in NLP’s preprocessing work applications such as machine translation (MT), information retrieval (IR), etc. Currently, there are many research efforts in word segmentation and POS tagging developed separately with different methods to get high performance and accuracy. Word segmentation and Part-of-speech tagging is one of the important actions in language processing. Against this, while numerous models are provided in different languages, few works have been performed for Myanmar language. This paper describes the building of Myanmar Corpus to use for joint word segmentation and part-of-speech tagging of Myanmar Language. In our research, the corpus contains 51207 sentences and 839161words. The corpus is created using 12 tags. To evaluate the accuracy of the corpus, HMM model is trained on different data size and testing is done with closed test and opened test. Results with 94% accuracy in the experiments show the appropriate efficiency of the built corpus.
Robust methods for fusing heterogeneous spatiotemporal data

INTRODUCTION: Modern technology has offered the capability to document and explore characteristics of human patterns of life. One such case is the abundance of time-indexed, ordered locations known as spatiotemporal (ST) trajectories. This increase in geospatial data, as well as other relevant contextual information, poses both opportunities and challenges to the Army geospatial community. This data has the potential to allow for gaining novel insight into human behavior, or opposite, previously developed methods may not be adequate for addressing the volume, sparsity, or complexity inherent in these data sets. New frameworks and methods for understanding the structure within the data will be key to providing additional insights into human behavior, which in turn, can expand the Army geo-intelligence-human-intelligence (GEOINTHUMINT) spectrum of operations.
Power Converter with High Value of Power Factor

Increasing the energy efficiency of using electricity is a current problem. As a modern solution, the development of power equipment based on power electronics was presented. These devices, which absorb relatively large powers from the low-voltage grid, lead to the distortion of currents in the power supply network and to the reduction of the power factor, leading to increased losses in supply networks. The aim of the paper is to develop an innovative solution to increase the power performance of power electronics devices as a result of improving their power factor. The scientific innovation consists in the realization of the technical solution for the fusion of the power factor correction and power conversion improvement in the unique functional block, which has an AC / DC power converter. A simulation model of the AC /DC converter mode has been developed. The efficiency of power factor improvement of the AC / DC converter and operation in switching mode at the zero voltage of the transistor in the primary circuit of the transformer has been demonstrated. It has been experimentally demonstrated the possibility of manufacturing AC / DC converters with cumulative power factor correction functions and output voltage stabilization. The magnitude of the voltage pulses (alternate component) on the rectifier's filter capacitors does not exceed the maximum allowable operating value of the capacitor. This ensures increased efficiency of the converter. The AC / DC converter has an efficiency of 98% and power factor equal cos 0.985  for the 1500 W power supply and the 220/12V.
University of Birmingham Unrestricted Quantification

: Semantic interpretations of both natural and formal languages are usually taken to involve the speciﬁcation of a domain of entities with respect to which the sentences of the language are to be evaluated. A question that has received much attention of late is whether there is unrestricted quantiﬁcation, quantiﬁcation over a domain comprising absolutely everything there is. Is there a discourse or inquiry that has absolute generality? After framing the debate, this article provides an overview of the main arguments for and against the possibility of unrestricted quantiﬁcation, highlighting some of the broader implications of the debate.
Self-awareness: A dynamic poster design about self-awareness child development

Self-awareness is a psychological state in which we see ourselves truthfully and objectively through introspection and reflection. As 90s generation, we are the newest generation of “Chinese-style” individualism, but most of us do not have knowledge of self-awareness. We probably do not acknowledge our strengths and weaknesses, do not accept ourselves, and have no sense of what we do and others think of us. According to our research” says organizational psychologist and researcher Tasha Eurich, “with thousands of people from all around the world, 95 percent of people believe that they’re self-aware, but only about 10 to 15 percent really are (Benjamin 2019). ” Lack of self-awareness can make an unexpected harmful impact on people’s career, and life. When you lack self-awareness, you often feel constantly off-kilter, anxious, or angry, and everything in life becomes harder— especially dealing with people (Tepfenhart 2019). The purpose of the thesis is to help people have a deeper, more complex appreciation of who they are. My artwork is a series of dynamic posters based on motion graphics presenting audience with fascinating insights into five levels of self-awareness child development and how to see ourselves clearly. It is aimed at guiding audience to experienced the formation of self-awareness again and encourage audience to cultivate this psychology state.
The Relationship Between Serum Vitamin B12 Level, Obesity, and Age: A Cross-sectional Study

Background: Many studies had evaluated the association between obesity and vitamin B12 deficiency, with most having shown low vitamin B12 levels in obese and overweight people. Moreover, there is increasing evidence that susceptibility to vitamin B12 deficiency may change depending on gender and throughout life, with older males having the greatest risk. Obese patients are more prone to insulin resistance (IR); the correlation between low B12 in obese individuals and IR has been evaluated, with conflicting results. The treatment of obese individuals by bariatric surgery and other options may result in multiple nutritional deficiencies and a low baseline B12 level makes them more vulnerable to B12 deficiency. Purpose: to investigate the relationship between vitamin B12 deficiency, body mass index and age in Jordanian adult patients. Methods: A cross-sectional study of patients attending the Internal Medicine Outpatient clinics at Jordanian Royal Medical Services hospitals was conducted from June to December 2018. Patients living in different regions of Jordan and between the ages of 14 and 90 years were included. Height (cm), weight (kg) and body mass index (BMI) were recorded. Result: The study enrolled 301 patients. The mean age was 52.19 years. Overall, 70.8% were in the adult group and 27.2% were in the senior adult group. The mean BMI was 29.41 (SD 5.74) and 36.9% were overweight, 25.2% were class 1 obese, 19.6% were of normal body weight, 11.3% were class 2 obese and 5.3% were class 3 obese. A significant positive correlation between BMI and age was observed (r=0.233; P<0.001). The mean B12 level was 278.82pmol/L. B12 deficiency was observed in 53.8% of patients. A significant negative correlation between BMI and serum B12 was observed (r =-0.123, P=0.032). There was no significant difference between males and females with regard to mean B12 level. A statistically insignificant negative correlation was observed between B12 level and age. Conclusion: Lower vitamin B12 levels are associated with higher BMIs. No significant difference between males and females with regard to mean B12 level was reported. Further studies are recommended to provide more information about B12 deficiency and its association with BMI and other factors.
Event Planning: A Strategic Key for Uniqueness

Events are an important aspect of popular culture. Particularly for corporations, event management is a tool for building a strong relationships between corporate and its publics. Planning an event is considered by the managers of the company as an improvement strategy regarding the corporates image and reputation. This study will put forward how events as a competitive advantage creates uniqueness for corporations.Nevertheless this study brings forward the features of event planning and the importance of events in the development of an area. The case which analysed in this study is one of the Turkish corporation in health industry namedİstanbul Cerrahi Sağlık Grubu. This corporation’s productAgeless Clinichost a special event called Key Party in February 2016. This event was planned and managed by a communication agency; Grandcarre İletişim ve Organizasyon. This case study was employed to analyse Key Party’s event planning steps based on Getz (2005) adopted by Bowdin et. al, event planning function.
Standard and non-standard CAGD tools in Isogeometric Analysis

We present a short summary of CAGD tools of main interest in IgA. 1 Bézier-Bernstein representations in 1D 1.1 Bernstein polynomials Bernstein polynomials of degree p are defined as follows B i (t) := ( p i ) t i(1− t)p−i, i = 0, . , p. (1) They form a basis for the space Pp of algebraic polynomials of degree p. Assuming t ∈ [0,1]1, they possess the following interesting properties. • Positivity: B i (t)≥ 0, t ∈ [0,1]. (2) • Partition of unity: p ∑ i=0 B i (t) = (t +1− t) p = 1, ∀t ∈ R. (3) Carla Manni Dipartimento di Matematica, Università di Roma “Tor Vergata” Italy e-mail: manni@mat.uniroma2. it Hendrik Speleers Departement Computerwetenschappen, Katholieke Universiteit Leuven Belgium e-mail: hendrik.speleers@cs.kuleuven. be 1 By the usual change of variable t = x−a b−a , Bernstein polynomials can be considered on a general interval [a,b].
On-Policy Imitation Learning from an Improving Supervisor

Most on-policy imitation algorithms, such as DAgger, are designed for learning with a ﬁxed supervisor. However, there are many settings in which the supervisor improves during policy learning, such as when the supervisor is a human performing a novel task or an improving algorithmic controller. We consider learning from an “improving supervisor” and derive a bound on the static-regret of online gradient descent when a converging supervisor policy is used. We present an on-policy imitation learning algorithm, Fol-low the Improving Teacher (FIT), which uses a deep model-based reinforcement learning (deep MBRL) algorithm to provide the sample complexity beneﬁts of model-based methods but enable faster training and evaluation via distillation into a reactive controller. We evaluate FIT with experiments on the Reacher and Pusher MuJoCo domains using the deep MBRL algorithm, PETS, as the improving supervisor. To the best of our knowledge, this work is the ﬁrst to formally consider the setting of an improving supervisor in on-policy imitation learning.
ASSOCIATING BSC MEASURES TO SIZE, MARKET FACTORS AND ORGANIZATIONAL PERFORMANCE

In this research the relationship between organization size, market position, balanced scorecard (BSC) usage and organizational performance is examined. Using financial and non-financial measures BSC evaluates the performance of four perspectives of customers, financial, learning and growth and internal business processes. 100 companies which are operated in the finance sector in Sri Lanka were selected for the research. Organization size, market position, BSC usage were considered as independent variables and the dependent variable was organizational performance. The research hypotheses formulated and tested was whether the BSC usage positively associate with larger organization size and businesses with a strong market position. Descriptive statistics were used to examine the importance of identifying diversifying factors, and correlation regression and ANOVA analyses were performed to identify relationships between independent and the dependent variables. Finally, it is concluded that empirical evidence on relationship between BSC reliance on organizational performance and organization size and market position could be confirmed as per the results of this research.
Effects of Diet Containing Fermented Canola Meal on Performance, Blood Parameters and Gut Health of Broiler Chickens

The current research aimed to study the effects of the fermented canola meal (Lactobacillus) diet on productive performance, blood parameters, and gut health of broiler chickens under high ambient temperature conditions. A total number of 320 (Ross-308) one-day-old broiler chickens were allocated randomly into four experimental groups for 42 days. Four experimental groups with four types of diet, including the control group (CON) received basal diet, and three other experimental groups were supplemented with 20% of the canola meal (CM), 20% fermented canola meal (FCM), and 20% canola meal with probiotic (PCM). The chickens that fed FCM presented improvement in live body weight, feed conversion ratio, and higher nutrient digestibility, compared to CM and PCM groups. Serum glucose, total protein, albumin, and aspartate aminotransferase (AST) of levels of chickens fed by FCM were higher than chickens fed CM and PCM, while there was a decrease in cholesterol. Fermented canola meal resulted in some noticeable beneficial changes in the cecum microflora communities through increasing the population of Lactobacillus spp. and decreasing the Escherichia coli and improved its morphology by increasing villus height. The results indicated that the fermentation of canola meal has enhanced performance, nutrient digestibility, and gut health, which allow using greater amounts of fermented canola meal as a replacement of soybeans meal in the broiler diet.
Removal of TEX vapours from air in a peat biofilter: influence of inlet concentration and inlet load

This paper presents the results of the study of the removal of toluene, ethylbenzene, and o-xylene (TEX) by biofiltration using a commercial peat as filter-bed material. Runs with a single organic compound in air, and with the mixture of TEX in air, were carried out for at least 55 days in laboratory-scale reactors inoculated with a conditioned culture. The influence of organic compound inlet load and of gas flow rate on the biofilter's performance was studied, including relatively high values of pollutant inlet concentration (up to 4.3 gC m−3 for ethylbenzene, 3.2 gC m−3 for toluene, and 2.7 gC m−3 for o-xylene). Results obtained show maximum elimination capacities of 65 gC m−3 h−1 for o-xylene, 90 gC m−3 h−1 for toluene, and 100 gC m−3 h−1 for ethylbenzene, and high removal efficiency (>90%) even for moderately elevated concentrations: 3.0, 2.5 and 1.8 gC m−3 for ethylbenzene, toluene and o-xylene, respectively. The behaviour of the TEX mixture was in good agreement with the results obtained for the runs in which only one organic compound was present. Ethylbenzene and toluene are degraded easier than o-xylene, and inhibitory effects due to the presence of multiple substrates were not observed. Copyright © 2005 Society of Chemical Industry
Molecular‐orbital analysis of magneto‐optical Bi‐O‐Fe hybrid excited states

Molecular‐orbital estimates of the excited‐state spin‐orbit coupling multiplet splitting are presented to support the theory that enhanced magneto‐optical effects in Y3−xBixFe5O12 originate from covalent interactions between Bi3+ and Fe3+ ions. A self‐consistent approximation is applied to a two‐level bonding‐antibonding hybrid formed from the excited 4P term of Fe3+ and the excited 3P of Bi3+. For term energy values chosen from spectroscopic data, overlap integrals s<0.05 are sufficient to account for bonding‐state depressions that match those reported for the tetrahedral and octahedral site‐enhanced transitions at 2.6 and 3.15 eV. The hybrid eigenfunctions of the upper states can contain more than 30% of the Bi3+ 3P orbital term. Multiplet splittings that are enhanced by the large Bi3+ spin‐orbit coupling constant (λ≊2 eV) are found to be on the order of 0.5 eV with a full complement of Bi surrounding Fe in the garnet lattice, in agreement with estimates based on experiment.
Effects of Cognitive Restructuring Therapy on Achievement Goal Orientation of Schooling Adolescents

Contemporary effort at behaviour modification is targeted at changing negative and faulty cognitions, this study therefore sought to find out the effects a psychological intervention such as cognitive restructuring therapy would have on achievement goal orientations of secondary school students in Bayelsa State, Nigeria. To investigate this, a non-randomised control group pretest and post-test quasi-experimental research design was implored. The sample of the study consisted of 109 Senior Secondary Class2 (SS2) students drawn from 4 secondary schools from two educational zones in Bayelsa State. Two schools were randomly selected from each educational zone and an intact class was selected from each school. Simple random sampling was used to determine the schools to serve as experimental and control groups. A research instrument namely; Achievement Goal Orientation Questionnaire (AGOQ) was used for data collection. This was administered as pre-test and post-test. Cognitive Restructuring therapy (CRT) was administered as treatment and this lasted for 8-weeks. The data collected were analysed, using means to answer the research questions and ANCOVA to test the hypotheses at 0.05 level of significance. The result showed that CRT was effective in reducing negative goal orientations of students while positive goal orientation scores were increased. These changes were all significant. Based on these findings, it was recommended amongst others that CRT be adopted in secondary schools to modify negative cognitions and behaviours of students.