Miracle-dz/UniFAR-FTUs huggingface dataset:
THE CORRELATION BETWEEN ADVERSITY QUOTIENT (AQ) WITH THE INTENTION TO RECOVER IN ADDICTION RESIDENTS AT THE DRUG DEPENDENCY HOSPITAL CIBUBUR, EAST JAKARTA, INDONESIA

Drug abuse in Indonesia is now increasingly troubling. The spread of drug is now widely spread in the community. Drug dealers have influenced many underage children and they are no longer junior high school children, but also elementary school children. Someone who has drug dependence in general will have a low intention to recover. This is reinforced by the fact that not a few of ex addictions must be treated in rehabilitation centers, because many problems on their way to recover. The purpose of this study was to determine the correlation between adversity quotient (AQ) with the intention to recover from addiction residents at the Drug Dependency Hospital, Cibubur, East Jakarta. The research conducted is quantitative correlation research. The population in this study is the addiction residents who made recovery at the Drug Dependency Hospital, Cibubur, East Jakarta as many as 30 people. The sampling technique uses saturated sampling technique. Retrieval of research instrument test data using an intense recovery scale of 15 items and an Adversity Quotient (AQ) scale of 11 items. On the intention to recover scale there are 14 valid items with a rit = 0.110 - 0.811 and a reliability of 0.931. On the Adversity Quotient (AQ) scale there are 10 valid items with a ratio of 0.409 - 0.852 and a reliability of 0.924. Based on the results of data analysis with Pearson product moment, the results obtained that rxy = 0.788 with p = 0,000 <0.05. The results of data categorization for the Intended Recovery variable obtained mean = 47.43. These results state that the intention to recover is in the medium categorization. Adversity Quotient (AQ) variable data categories obtained a mean of 33.48 and the results are in the medium categorization. The category is based on categorization with normal distribution. This means (HO) which states there is no correlation between Adversity Quotient (AQ) and the intention to recover is rejected, and (Ha) which states there is a correlation between Adversity Quotient (AQ) with the intention to recover is accepted. Article visualizations:
A nonparametric spatial scan statistic for functional data

This paper introduces a nonparametric scan method for functional data indexed in space. The scan statistic that we introduce is derived from the Wilcoxon-Mann-Whitney test statistic defined for infinite dimensional data. It is completely nonparametric as it does not assume any distribution concerning the functional marks. This scan test seems to be powerful against any clustering alternative. We apply this method to a data set for extracting features in Spanish province population growth.
Mobile App-Based Intervention for Pregnant Women With Stress Urinary Incontinence: Protocol for a Hybrid Effectiveness-Implementation Trial

Background Stress urinary incontinence (SUI) is a common source of distress among women during and after pregnancy. It has a negative effect on quality of life but with poor care-seeking. Mobile health (mHealth) may be a promising solution with potential advantages. However, there is uncertainty whether a mobile app is effective for SUI symptom improvement during and after pregnancy. The implementation is also unclear. We developed an app named UIW (Urinary Incontinence for Women) aimed at improving perinatal incontinence. Objective The objective of this study is to evaluate the effectiveness of the UIW app-based intervention in improving SUI symptoms among pregnant women and explore the facilitators and barriers to using the UIW app to help refine and optimize the intervention. Methods This study is a hybrid effectiveness-implementation trial with a randomized controlled trial alongside a mixed-methods process evaluation according to the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. Pregnant women with SUI (n=336) will be recruited from a university-affiliated hospital in China. They will be randomly allocated (1:1) to either the intervention group that receive usual care plus UIW app or control group that receive usual care alone. The intervention period will last 2 months. The 5 dimensions of the RE-AIM framework will be evaluated at recruitment (-T1), baseline (T0), immediately after intervention (T1), 42 days after delivery (T2), 3 months after delivery (T3), and 6 months after delivery (T4) through project documents, online questionnaires and a pelvic floor muscle training diary, surface electromyography, log data in the background management system, and qualitative interviews. Data analysis will follow the intention-to-treat principle. Descriptive statistics, t tests, chi-square tests, and a linear mixed model will be used to analyze the quantitative data. Deductive and inductive content analysis will be used to analyze the qualitative data. Results The effectiveness-implementation trial started in June 2020, trial recruitment was completed in October 2020, and the intervention will last for a 2-month period. Completion of the 6-month follow-up will be in July 2021, and we anticipate that the results of this study will be published in December 2021. Conclusions This study will evaluate both effectiveness and implementation of the UIW app-based intervention among pregnant women. The hybrid effectiveness-implementation trial design according to the RE-AIM framework with a mixed-methods approach will give valuable insights into the effects as well as facilitators and barriers to the implementation that will influence the effects of the UIW app-based intervention. Trial Registration Chinese Clinical Trial Registry ChiCTR1800016171; http://www.chictr. org.cn/showproj.aspx? proj=27455 International Registered Report Identifier (IRRID) PRR1-10.2196/22771
A three‐dimensional numerical model of cloud dynamics, microphysics, and chemistry: 4. Cloud chemistry and precipitation chemistry

A study of the cloud chemistry and precipitation chemistry of the three-dimensional cloud chemical modeling of a severe local storm case (Wang and Chang, this issue) is discussed in this paper. In our simulation the microphysical processes, especially those related to the ice phase, were found to have significant effects on influencing both the rhythm of time evolution and the amount of quantitative variation of pollutants. Most chemical species in the ice phase particles were transformed from liquid phase droplets by the riming process. The ratio of the transfer of chemical species from aqueous phase to ice phase induced by riming to that induced by freezing was about 55 to 1 for N(V) and 8 to 1 for S(VI). The average equivalent pH value had a linear correlation with the logarithm of total water content and with the logarithm of [S(VI)] + [N(V)] in the cloud. The average equivalent pH value for the whole cloud changed from 5.1 at 28 min to 4.4 at 55 min. Most low pH values appeared in the less convective region. For this particular case study, aerosol scavenging was the major source of S(VI) production, which provided a total amount 50 times that provided by sulfur oxidation in the cloud. The major contributor of sulfur oxidation changed during the lifetime of the modeled storm. The peaks of acid deposition did not correspond to the peaks of precipitation. The sub cloud dissolution and microphysics-related transformation played an important role in the acid production and deposition. The nitric acid production total in the sub cloud area doubled that in the cloud. Most of the S(VI) produced by the aqueous phase SO2 oxidation was also found to be due to sub cloud processes.
Comparison of phosphate adsorption on clay minerals for soilless root media

Abstract The greenhouse industry aims to decrease phosphate discharge to help reduce eutrophication of surface waters, to reduce fertilizer consumption, and to maintain a more constant level of plant‐available phosphate. Iron and aluminum oxides and some aluminosilicate minerals are efficient sorbents for phosphate. The phosphate adsorption characteristics of synthetic hematite (α‐Fe2O3), goethite (α‐FeOOH), and allophane (Si3Al4O12 nH2O), and a commercial alumina (A12O3) were evaluated to determine their potential for reducing phosphate leaching from soilless root media. The pH dependence of phosphate adsorption and maximum adsorption capacities were determined by reacting each mineral with various levels of phosphate between pH 4.0 and 9.0 in a 10 mM potassium chloride (KCl) background solution. Adsorbed phosphate was determined by loss from solution. Adsorption envelopes (adsorbed phosphate versus pH) showed a decrease in phosphate adsorption with increasing pH, particularly for alumina and allophane, .
Novel Ni-Co-Mo-K Catalysts Supported on Multiwalled Carbon Nanotubes for Higher Alcohols Synthesis

Alkali-promoted Ni-Co-Mo catalysts supported on multiwalled carbon nanotubes (MWCNTs) were prepared using 9 wt% K, 4.5 wt% Co, and 15 wt% Mo, whereas Ni content was varied from 0 to 6 wt%. The catalysts were extensively characterized and studied for higher alcohols synthesis from synthesis gas. Alkali-promoted trimetallic catalyst with 3 wt% Ni showed the highest total alcohols yield of 0.284 gm/(gm of cat./h), ethanol selectivity of 20%, and higher alcohols selectivity of 32% at 330°C and 9.0 MPa using gas hourly space velocity (GHSV) of 3.8 m3 (STP)/kg of catalyst/h and H2 to CO molar ratio of 1.25.
From Bits and Bytes to Big Data - An Historical Overview

About a century ago the computer revolution started in the USA. Computers and mobile devices have now become an integral part of our lives in the workplace. The first attempts to investigate the data output started in the 1960s on a command prompt blinking on the computer monitor. Later in the 1990s, powerful data mining tools were created to sort and analyze large amounts of data. Now the new technologies and tools such as Big Data Analytics allow us to instantly capture and analyze an enormous amount of personal and institutional data about clients, financial transactions, social networks, and everything else happening online. This paper attempts to provide a fresh insight into the evolution of “data” acquiring such a prominent role and value. It provides a pictorial history using secondary data sources and attempts to provide an overview of current tools, technologies, and trends associated with the evolution of Big Data Analytics.
Heavy Metal in Edible Portions (Muscle and Skin) and Other Organs (Gill, Liver and Intestine) of Selected Freshwater Fish Species

In this study, the concentrations of copper, zinc, manganese, iron, cobalt, calcium, magnesium, nickel, lead, chrome and boron elements in muscle, gill, skin, intestine and liver of selected fish species (Rutilus rutilus, Carassius carassius, and Cyprinus carpio) from Porsuk Dam Lake/Turkey were determined. The element analyses were performed with inductive coupled plasma-optic emission spectroscopy following microwave digestion techniques. Metal accumulation levels of tissues and species were remarkably different. Concentrations of Ni, Pb, Cr and B in all tissues of the species were found to be below the detection limit (BDL) with ICP-OES. Irrespective of the fish species and tissues, the concentrations (mg kg−1 wet weight) of the other matals varied in the following ranges: Cu, below detection limit (BDL)-17.15; Zn, 9.08–699.60; Mn, BDL-8.23; Fe, 4.42–137.17; Co, BDL-1.49; Ca, 144.40–14376.60 and Mg, 95.81–903.23. The metal levels in muscle of the species were found below the limits proposed by FAO, WHO, and Turkish Food Codes, and these are safe for human consumption. However, heavy metal accumulation in skin and liver of some species was as high as non-permitted limits.
RELATIONSHIP BETWEEN MESOSYSTEM INTERACTION AND THE ADOLESCENTS SEXUAL RISK BEHAVIOURS IN ANAMBRA STATE, NIGERIA

This study determined the relationship between mesosystem and sexual risk behaviours of adolescents in Anambra State. The study was guided by two research questions and one null hypothesis. Correlational research design was used, and the sample consisted of 1470 adolescents in the senior secondary school selected using multi-stage procedure. The instruments for data collection were, mesosystem of Adolescent Questionnaire (MSAQ), made up 8 items and gave reliability coefficient of . 81 and Sexual Risk Behaviours Questionnaire (SRBQ), made up of 23 items which gave reliability coefficient of . 88. Research question 1was answered using percentages and research question 1 and 2 were Percentages while research question 3 answered using Pearson’s Product Moment Correlation. Hypothesis was tested using Simple Regression Analysis at 0.05 Level of Significance. The results showed that majority of the adolescents had good interactions in their mesosystem. There is significant relationship between mesosystem and adolescents’ sexual risk behaviours. Based on the findings, it was concluded that mesosystem is a significant predictor of adolescents’ sexual risk behaviours. Health educators should find innovative ways of educating the adolescents on the dangers of sexual risk behaviours, using peer and media since it has been found to be a predictor of sexual risk behaviours. Article visualizations:
No Model No Cry? Intraday Model-Free Implied Volatility and the Leverage Effect for Individual Equities

We analyze intraday model-free implied volatility for a large sample of individual equities. For that purpose we adapt the CBOE VIX methodology and derive an intraday measure based on 1-minute option data. Within a review of the model-free IV theory and CBOE replication methodology we highlight the data requirements and caveats which influence the quality of the results. Since weekly option contracts exist for only a small fraction of underlying stocks, we propose a cubic spline interpolation approach which aims at achieving the quality of the weekly VIX results. In a benchmark comparison it proves to be more accurate than the 2003 VIX method. Relying on our newly developed volatility measures, we analyze the leverage effect and find evidence thereof within an intraday context.
Silencing of SRSF1 to induce cholangiocarcinoma cell death

Cholangiocarcinoma or CCA is a malignance cancer arising from abnormal growth of bile duct epithelial. CCA present the high incidence and mortality rate in Southeast Asian countries, especially in Thailand. CCA development does not have any specific symptoms. Therefore, CCA difficult to detect or diagnosis in early state, then developed into advance stages with highly metastasis which resulting in ineffective treatment and leading to high mortality rate. Several strong evidences presented the association of CCA development and progression with aberrant alternative splicing. These processes regulated by Serine/Arginine-rich splicing factors or SRSFs. Dysregulation of SRSFs can generated the aberrant transcript variants and cancer related protein isoforms of many important genes in CCA. Some of the spliced genes mentioned in CCA related to anti-apoptosis and promoted cancer cells evading from death. Previous studies reported high expression of SRSF1 in various cancers and the result from our group also found that SRSF1 was upregulated in CCA patient tissues and in CCA cell lines. This study aimed to investigate the role of SRSF1 on CCA cell death. Particularly, to clarify the specific type of death. SRSF1 mRNA and protein were verified that predominantly upregulated in KKU-055 and KKU-213A (CCA cells) when compared with MMNK-1 (cholangiocyte). Next, to study the effect of SRSF1silencing by 2 specific siRNAs (siSRSF1-1 and siSRSF1-2), SRSF1 expression was depleted in both CCA cell lines. Especially, the higher efficiency was observed in siSRFS1-2 transfection. For the effect of SRSF1-silencing on CCA cell death, SRSF1silencing increased the number of death cell and the specific morphologies of death cell
Composition of the essential oil of Teucrium fruticans L. from the Maremma Regional Park (Tuscany, Italy)

The composition of the essential oil of a population of Teucrium fruticans L. from the Maremma Regional Park, Italy, has been studied for the first time. The oil was obtained from both flowering and fruiting tops. The former contained almost equal amounts of mono- and sesquiterpenes (53% and 45%, respectively), while the latter was constituted mainly by sesquiterpenes (70%). The main components during the flowering phase were β-pinene (21%), germacrene D (18%), β-myrcene (13%), and β-caryophyllene (12%), and during the fruiting phase germacrene D (24%), β-caryophyllene (22%), β-pinene (7%) and β-selinene (7%). Copyright © 2001 John Wiley & Sons, Ltd.
The assessment of glycemic control and renal function in ischemic heart patients

Background: Ischemic heart diseases are considered as the leading cause of death throughout the world and a major cause of hospital admissions. Diabetes mellitus together with hypertension are among the modifiable risk factors. Aims of the study: To assess the glycemic control and renal function tests of patients with ischemic heart diseases. Methods: Fasting blood samples were obtained from seventy one cases of ischemic heart disease who were admitted to cardiac care unit, mean age 60.9 years old, sera were used to measure urea, creatinine and glucose by enzymatic colorimetric method while blood with anticoagulant used for glycated hemoglobin measurement by ion exchange resin quantitative colorimetric determination and urine samples were obtained for analysis of protein/creatinine ratio by turbidimetric method. Measurement of micro albumin in urine is based on immunoassay with flouresence detection.Statistics included t-test and linear regression. Results: There was a significant difference between diabetics and non-diabetics in regard to fasting plasma glucose, glycated hemoglobin and protein /creatinine ratio. The major difference between patients with angina pectoris and those with acute myocardial infarction was that the latter had significantly higher fasting plasma glucose. Conclusion and recommendation: Ischemic heart disease patients have badly controlled hyperglycemia and some degree of renal impairment. Protein / creatinine ratio and/or micro albuminuria should be introduced in the list of biochemical tests requested for these patients.
Thin Films of Amorphous Silicon-Carbon Alloy Prepared by Radio-Frequency Magnetron Sputtering

Thin films of amorphous silicon-germanium alloy (a-Si 1-x Ge x ) were prepared by sputtering silicon and germanium targets with argon in a radio-frequency (rf) magnetron sputtering system, For the film prepared at an rf power of 200 W, the energy gap and the refractive index showed monotonous changes between those for silicon and germanium with a deviation from linearity in the correlating line of the energy gap. The deviation was attributable to the decrease in structural disorder in the film as shown in Tauc coefficient B, For the film prepared at an rf power of 50 W, some deviations of the energy gap and the refractive index from the monotonous changes increased with decreasing x, because of an excess amount of dangling silicon bonds. Fourier transform infrared spectra indicated absorption due to the modes derived from the dangling bonds. The absorption coefficient showed that the deviations of the energy gap and the refractive index at x = 0 were proportional to the excess amount of dangling bonds of silicon. The excess amount of dangling bonds of silicon retarded crystallization in the solid state.
Zeolite-filled PDMS membranes .1. Sorption of halogenated hydrocarbons

Aiming at a more thorough understanding of the influence of zeolite fillers in PDMS membranes on the pervaporation of chlorinated hydrocarbons from aqueous solutions, the sorption aspect of this separation process was studied. Firstly, the sorption of water and five different chlorinated hydrocarbons was investigated in the zeolite and the polymer separately. Secondly, the composite system was considered and conclusions were drawn concerning interactions at the zeolite-polymer interphase. Finally, the sorption results obtained on the self-synthesized membranes were compared with measurements on commercially available PDMS membranes (GFT). 23 refs., 11 figs., 3 tabs.
The Role of Microbiota In The Occurrence of Non-Alcoholic Fatty Liver Disease

Non- alcohol fatty liver disease (NAFLD) is the commest liver disease worldwide. In Western countries, prevalence between 20 and 30 % is reported among the adult population. Nutrition, excess eating food rich in saturated fats and high caloric food, along with decrease in eating vegetables, fruits, proteins, and 3-Fatty Acids are main contributors of NAFLD growth. Human beings have nearly one thousand bacterial organisms and several millions of bacteria, with 150-time more genes than the human genome colonizing in the human gasterointestinal tract. Lactobacillus, Peptoniphilus, Ruminococcus, Clostridium, and Eubacteria), Bacteroides, and Prevotella are the two main phyla in the human intestines. However, the components and presence of gut microbiota varies due to a high heterogeneity among people due to several factors as age, sex, general conditions, pregnancy, hormonal changes, travelling, infection, and drugs as chemotherapeutic agents or proton pump inhibitors. Our aim is to demonstrate the effect of gut microbiota in development of NAFLD.
Diversity of entomopathogenic fungi associated with Mediterranean fruit fly (C. capitata) in Moroccan Argan forests and nearby area: impact of soil factors on their distribution

Background: Studying the ecology of biocontrol-agents is a prerequisite to effectively control medfly (Ceratitis capitata (Diptera: Tephritidae)) with entomopathogenic fungi. In this context, factors affecting the occurrence and distribution of medfly-associated entomopathogenic-fungi were studied. Soil samples (22) were collected from natural and cultivated areas of Souss-region Morocco. Results: A total of 260 fungal isolates belonging to 22 species and 10 genera were obtained by using medfly pupae as bait. Medfly-associated fungi were detected in all studied soils and pupae infection percentages ranged from 3.33% to 48%. Two genera, Fusarium and Beauveria were the most frequent with 83 isolates (32%) and 50 isolates (19.23%) respectively. Pathogenicity test of isolated species against medfly pupae showed high mortality rates up to 91% for some strains. Principal component analysis (PCA) demonstrated a strong influence of origin, physical, and chemical properties of soil on the abundance of these fungi. In general, medfly-associated fungi were more abundant in soils with moderate pH (7.5 to 8) having high sand and organic content. High relative humidity negatively influenced the abundance of these fungi. Both factors directly affected the fungal infection percentages in pupae. The response of fungi to these parameters varied among species. According to principal component analysis (PCA), the soils of argan fields and forests were more suitable for the development of medfly-associated fungi than citrus orchards.Conclusions: These results guide identifying suitable soils for the effective application of entomopathogenic fungi as biological control agents. In summary, isolated indigenous strains seem to be a promising option to control C. capitata.