Miracle-dz/UniFAR-FTUs huggingface dataset:
Perceived appropriateness of alcohol screening and brief advice programmes in Colombia, Mexico and Peru and barriers to their implementation in primary health care – a cross-sectional survey

Abstract Background: Providing alcohol screening and brief advice (SBA) in primary health care (PHC) can be an effective measure to reduce alcohol consumption. To aid successful implementation in an upper middle-income country context, this study investigates the perceived appropriateness of the programme and the perceived barriers to its implementation in PHC settings in three Latin American countries: Colombia, Mexico and Peru, as part of larger implementation study (SCALA). Methods: An online survey based on the Tailored Implementation for Chronic Diseases (TICD) implementation framework was disseminated in the three countries to key stakeholders with experience in the topic and/or setting (both health professionals and other roles, for example regional health administrators and national experts). In total, 55 respondents participated (66% response rate). For responses to both appropriateness and barriers questions, frequencies were computed, and country comparisons were made using Chi square and Kruskal–Wallis non-parametric tests. Results: Alcohol SBA was seen as an appropriate programme to reduce heavy alcohol use in PHC and a range of providers were considered suitable for its delivery, such as general practitioners, nurses, psychologists and social workers. Contextual factors such as patients’ normalised perception of their heavy drinking, lack of on-going support for providers, difficulty of accessing referral services and lenient alcohol control laws were the highest rated barriers. Country differences were found for two barriers: Peruvian respondents rated SBA guidelines as less clear than Mexican (Mann–Whitney U = −18.10, P = 0.001), and more strongly indicated lack of available screening instruments than Colombian (Mann–Whitney U = −12.82, P = 0.035) and Mexican respondents (Mann–Whitney U = −13.56, P = 0.018). Conclusions: The study shows the need to address contextual factors for successful implementation of SBA in practice. General congruence between the countries suggests that similar approaches can be used to encourage widespread implementation of SBA in all three studied countries, with minor tailoring based on the few country-specific barriers.
Synthesis and characterization of the hydrated rare-earth acid diphosphates LnHP2O7·3.5H2O (Ln = rare-earth elements)

Hydrated lanthanum acid diphosphates, of the formula LnHP2O7·3.5H2O, have been prepared from acidic LaCl3 and Na4P2O7 solutions (pH = 1), and characterized by XRD, IR and NMR spectroscopic techniques. In the series Ln = La–Sm, these phosphates crystallize in the orthorhombic system (Type I) but in the series Sm–Yb, they crystallize in the triclinic system (Type II). In the case of Sm diphosphates both structures can be obtained depending on the synthesis conditions. The diphosphate character of the compounds was assessed by IR and NMR and two environments, namely PO43− and HPO42−, were identified by 31P MAS spectroscopy. Finally, a different distribution of OH and water was deduced from NMR and IR spectroscopic analysis of the two series of diphosphates.
Repellent studies with Aedes aegypti mosquitoes and human olfactory tests on 19 essential oils from Corsica, France

In order to reduce the risk of getting infected with any epidemic disease transmitted by mosquitoes, repellent products are often used to protect populations at risk. The repellent potential of 19 essential oils from the island of Corsica, France, was evaluated in a bio-assay with the mosquito Aedes aegypti, in order to assess the 'space repellent' properties of these oils. Lavendula stoechas, Helichrysum italicum (leaves) and Laurus nobilis oils showed a capability of reducing the attractivity of a human finger for yellow fever mosquitoes in a Y-tube olfactometer. In addition to the behavioural studies on mosquitoes, two tests on the olfactory perception of these 19 oils were performed, involving 25 female and 25 male human volunteers. The aspects studied were the 'hedonic dimension' of these oils and their acceptance as a final fragrance for a repellent formulation. The experiments yielded promising results concerning both aspects for three oils, from Calamintha nepeta, Laurus nobilis and Rosmarinus officinalis, with minor differences between male and female participants. Laurus nobilis oil was the only oil tested fulfilling both properties: a spatial repellent effect on Aedes aegypti and acceptance by the volunteers for its integration in a repellent product. Thermogravimetric analysis showed that Calamintha nepeta oil has a slower evaporation rate in comparison to the Laurus nobilis and Rosmarinus officinalis oils.
Bimodal bilingualism*

Speech–sign or “bimodal” bilingualism is exceptional because distinct modalities allow for simultaneous production of two languages. We investigated the ramifications of this phenomenon for models of language production by eliciting language mixing from eleven hearing native users of American Sign Language (ASL) and English. Instead of switching between languages, bilinguals frequently produced code-blends (simultaneously produced English words and ASL signs). Code-blends resembled co-speech gesture with respect to synchronous vocal–manual timing and semantic equivalence. When ASL was the Matrix Language, no single-word code-blends were observed, suggesting stronger inhibition of English than ASL for these proficient bilinguals. We propose a model that accounts for similarities between co-speech gesture and code-blending and assumes interactions between ASL and English Formulators. The findings constrain language production models by demonstrating the possibility of simultaneously selecting two lexical representations (but not two propositions) for linguistic expression and by suggesting that lexical suppression is computationally more costly than lexical selection.
The continuous flash pyrolysis of biomass

A continuous atmospheric pressure flash pyrolysis process for the production of organic liquids from cellulosic biomass has been demonstrated at a scale of 1–3 kg/hr of dry feed. Organic liquid yields as high as 65–70% of the dry feed can be obtained from hardwood waste material, and 45–50% from wheat straw. The fluidized sand bed pyrolysis reactor operates on a unique principle so that char does not accumulate in the bed and treatment of the sand is not necessary. The product gas, about 15% of the yield, has a medium heating value. The liquid product is an acidic fluid, which pours easily and appears to be stable. A preliminary economic analysis suggests that if the pyrolysis oil can be used directly as a fuel, its production cost from wood waste is probably competitive with conventional fuel oil at the present time.
A New Binary Programming Formulation and Social Choice Property for Kemeny Rank Aggregation

Rank aggregation is widely used in group decision making and many other applications, where it is of interest to consolidate heterogeneous ordered lists. Oftentimes, these rankings may involve a large number of alternatives, contain ties, and/or be incomplete, all of which complicate the use of robust aggregation methods. In particular, these characteristics have limited the applicability of the aggregation framework based on the Kemeny-Snell distance, which satisfies key social choice properties that have been shown to engender improved decisions. This work introduces a binary programming formulation for the generalized Kemeny rank aggregation problem—whose ranking inputs may be complete and incomplete, with and without ties. Moreover, it leverages the equivalence of two ranking aggregation problems, namely, that of minimizing the Kemeny-Snell distance and of maximizing the Kendall-τ correlation, to compare the newly introduced binary programming formulation to a modified version of an existing integer programming formulation associated with the Kendall-τ distance. The new formulation has fewer variables and constraints, which leads to faster solution times. Moreover, we develop a new social choice property, the nonstrict extended Condorcet criterion, which can be regarded as a natural extension of the well-known Condorcet criterion and the Extended Condorcet criterion. Unlike its parent properties, the new property is adequate for handling complete rankings with ties. The property is leveraged to develop a structural decomposition algorithm, through which certain large instances of the NP-hard Kemeny rank aggregation problem can be solved exactly in a practical amount of time. To test the practical implications of the new formulation and social choice property, we work with instances constructed from a probabilistic distribution and with benchmark instances from PrefLib, a library of preference data.
Pattern Recognition and Classification of Indian Herbal Leaves

© 2017, This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. Recent Advances in Technology and Engineering (RATE-2017) 6 National Conference by TJIT, Bangalore International Journal of Science, Engineering and Technology An Open Access Journal
Content Validity and Reliability of the Persian Version of School Function Assessment in Children With Cerebral Palsy Aged 7-12 Years

Objective: Cerebral Palsy is one of the most common neurodevelopmental disorders in children. Due to the increase in the number of students with Cerebral Palsy (CP) entering ordinary schools and facing problems with independent functioning, there is a need for a valid and comprehensive assessment tool for their successful entry as well as providing a proper treatment plan. The School Function Assessment (SFA), by measuring many school-related functional skills, can identify the strengths and weaknesses affecting the students’ independence and participation in school assignments. It has 320 items and three main parts of participation, task support, and activity performance. The test score can be reported in general or based on each part, separately. The purpose of this study is to examine the validity and reliability of the Persian version of the SFA in children with CP. Materials & Methods: This is a cross-sectional study with methodological design. The study population consists of all children with CP aged 7-12 years in Tehran. Of these, 120 were selected from exceptional public school using a convenience sampling method. The inclusion criteria were: CP diagnosed by a neurologist, age between 7 and 12 years, no other disabilities (e.g. deafness or blindness), and the willingness of children’s parents to participate in the study. A demographic form and the Persian SFA were used for data collection through interview. In order to measure the content validity, Content Validity Index (CVI) and Content Validity Ratio (CVR) were calculated according to the standard protocol of International Quality of Life Assessment. In this regard, 8 experts in the field of pediatrics completed the Persian SFA. To determine the test-retest reliability, the questionnaire was completed by the parents of children with a 4-week interval. The internal consistency and test-retest reliability were examined by using Cronbach’s alpha coefficient and Intra-class Correlation Coefficient (ICC), respectively. Data was analyzed in SPSS V. 22 software. Results: Participants were 64 boys and 56 girls with CP (mean age= 9.4 years). The distribution of CP was as follows: 10% hemiplegic CP, 27.5% diplegic CP, 5.8% monoplegic CP, and 56.7% quadriplegic CP. Eighty hundred-eight percent of respondents were the mothers of students. The CVR and CVI values were in a range of 0.7-1 and 0.87-1, respectively indicating an acceptable validity. All the items had acceptable content validity. The Cronbach’s alpha coefficient was obtained 0.95 for participation, 0.95-0.99 for task support, 0.83-0.99 for activity performance, and 0.92 in total. Moreover, the ICC value was reported 0.90 for participation; 0.84-0.91 for task support; 0.84-0.97 for activity performance; and 0.89 for the overall test. Conclusion: The Persian version of SFA has acceptable content validity and reliability (internal consistency and test-retest) for children with CP. Therefore, it can be applied as a research and clinical tool to assess the school-related performance of these children.
: An Analytical Study of Emerging Technologies

—In recent years, indoor positioning has emerged as a critical function in many end-user applications; including military, civilian, disaster relief and peacekeeping missions. To cope with this surge of interest, much research effort has focused on meeting the needs of these applications and overcoming their shortcomings. Ultra WideBand (UWB) is an important technology in the ﬁeld of indoor positioning and has shown great performance compared to others. In this work, we identify and analyze existing ultra wideband positioning technologies and present a detailed comparative survey. We also provide a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis, a method generally used in management science to evaluate the strengths, weaknesses, opportunities, and threats involved in a product or technology, to analyze the present state of UWB positioning technologies.
The Effect of 6-Week Interval and Continuous Training with Zizphus Vulgaris Extract Supplementation on Hippocampus’s BDNF Male Wistar Rats

Background: The aim of the study was to compare the effect of 6-week interval and Continuous training with Zizphus Vulgaris Extract supplementation on the hippocampus’s BDNF male Wistar rats. Methods: Among 36 male rats (250-350 gr), randomly after adjusting the body weight, 6 rats were separated as the control group. 30 rats were divided into 5 groups: Continuous group (n=6), Interval group (n=6), Continuous with Zizphus Vulgaris Extract group (n=6), Interval with Zizphus Vulgaris Extract group (n=6) and Zizphus Vulgaris Extract group (n=6). The training groups completed 8 weeks of the training program, 5 days/week according to protocol. The Endurance Continuous protocol includes running exercise on a treadmill for, 10 m/min, 10 min/day to up 16 m/min, 40 min/ day. Endurance Interval protocol includes running exercise on a treadmill for, 5*4 min, with intensity 10 m/min to up 23 m/min, 52 min/ day. The Zizphus Vulgaris Extract group, every 6 weeks, each rat consumed 400 mg/kg.day and 1.5 mL. At the end of the intervention, the animals were euthanized and the hippocampus’s BDNF was measured. Data were analyzed using one way ANOVA tests (Pvalue<0.05). Results: Interval with the Zizphus Vulgaris Extract group had significantly increased hippocampus’s BDNF compared to control and Zizphus Vulgaris Extract groups ( respectively p= 0.01, p= 0.02). Other comparisons were not significant. Conclusions: Interval with Zizphus Vulgaris Extract induce more effective favorable changes in the hippocampus’s BDNF in male rats. Likely, that be the best Strategy to prevent negative effects on the hippocampus’s BDNF decrease. Keywords: Interval training, Continuous training, Zizphus Vulgaris extract supplementation, Hippocampus’s BDNF, male wistar rats.
An Analysis of Japan’s Quality Movement from the Meiji Period until the Present Day: A Synthesized Perspective

Manuscript type: Research paper Research aims: This paper has a tri-fold purpose. First, we seek to establish whether Japan’s focus on quality manufacturing was a conscious choice. Second, we attempt to analyse the impact of the external environment on the success/failure of quality upgrading. Third, we investigate whether Japanese businesses, regardless of the shifts in the competitive environment in the last two decades, continue to explore quality management as a strategic weapon for competitiveness. Design/Methodology/Approach: The study is based on a systematic literature review using two of the main scientific databases – JSTOR and Emerald. The scientific papers used for this synthesis – over sixty manuscripts in total – have (predominantly) focused on the quality movement in Japan at a national/country level. These are peerreviewed articles published between 1980 and 2018 that go beyond the field of operations/quality management. Research findings: We show that Japan’s focus on quality upgrading was a conscious choice that sought to elevate the country’s economy.Moreover, we identify a number of external factors (e.g. government support, sound formal institutions) – four, specifically – that, according to our analysis, have been critical to Japan’s success in quality manufacturing. Finally, we show that regardless of the (recent) shifts in the competitive environment, (product) quality improvement continues to take a central part in Japan’s pursuit of global economic dominance. Theoretical contribution/Originality: We claim that that this is the first comprehensive study of Japan’s quality movement to include scientific data from the Meiji Period until the present day (so far the bulk of the scientific papers have focused on the quality movement in post-war Japan). We also bridge a substantial gap in the QM literature regarding the influence of the external environment (e.g. political factors, social factors) on the success/failure in quality upgrading. Practitioner/Policy implication: The insights of this paper provide a valuable lesson to policy makers from developing and/or underdeveloped economies in their pursuit of economic growth. The study is also important to manufacturers from developing and/ or underdeveloped countries to understand their own quality management practices in comparison with those in Japan, which have the highest standards of manufacturing quality. Research limitation/Implication: Our literature search is admittedly not exhaustive as it involves only two of the main scientific databases.
Field efficacy of formulation of essential oils against blast disease of rice caused by Pyricularia oryzae Pv. Oryzae

Rice (Oryza sativa L.), is one of the most widely cultivated and major food crops of the world. However the productivity of crop was affects by the attack of various fungal as well as bacterial diseases. Among the various diseases the most predominant one was blast disease caused by Pyricularia oryzae which is very severe in hot and humid climate of Konkan region. Eight essential oils along with one fungicide were tested under field condition. The results revealed that, the lowest incidence of blast was recorded in treatment T4 (Nirgundi oil) with disease incidence 52.59% as compare to the control (71.85%). The highest reduction of disease control was 26.80% and was statistically significant over other treatments. This was followed by treatments T2 (Eucalyptus oil), T5 (Lemon grass oil), and T1 (Citronella oil) with disease incidence of 52.9, 52.96 and 57.03 percent respectively as compare to the control and percent disease reduction was in the tune of 26.29%, 26.29% and 20.63% over control. Data also revealed that treatment of Eucalyptus oil (T2) showed highest yield of 49.03q ha-1 as against 39.11 q ha-1 in control and was statistically significant. Treatment T2 recorded 25.36% increase in yield over control. This was followed by T5 (46.85%) and T4 (43.40%).
Relationship Between The Level of Alcohol Consumption to The Depression of Multiple Substance Users in Sleman Yogyakarta

Introduction: The problem of using addictive substances, especially alcohol in Indonesia, is still a serious health problem. Since 2013, data on the proportion of alcoholic drink consumption in Indonesia has been found to have increased in 32 provinces in Indonesia. Alcohol consumption not only causes physical problems, but also mental disorders, triggers acts of violence, and disturbs other aspects of life. One of the psychiatric disorders that arise due to the abuse of alcoholic beverages is depression. If not treated immediately, depression can lead to suicidal thoughts that threaten the individual and have an impact on those around him. The aim of this study was to examine the level of alcohol consumption and its relationship to the level of depression. Methods: This study is an analytical study with a quantitative crosssectional survey design. The sampling technique was carried out by purposive sampling using the AUDIT questionnaire for the level of alcohol consumption, and BDI-II for the level of depression. Results: The research sample was obtained as many as 30 respondents. The results of the two-variable analysis using the somer test showed that there was no significant relationship between the level of alcohol use and the level of depression. Conclusion: In this study, there was no statistically significant relationship between the level of alcohol use and the level of depression in individuals who used multiple substances.
A System to detect Heart Failure using Deep Learning Techniques

- Cardiovascular diseases or Congestive Heart Failure is one of the leading causes of deaths all over the world. It accounts for almost a million people’s deaths on a yearly basis. Also, 3-5% of hospital admissions are due to heart failure occurrence. This is an alarming situation when something needs to be done to impede the progression of the disease hence boosting the quality of life. Although traditional machine learning methods have been implemented previously, this is a diligent effort in the direction of a prior revelation of the disease which might help in reducing the number of deaths. This paper proposes the use of algorithms like Boosted Decision Tree (for detection), CNN (for subtype estimation), and finally predicting possible unfortunate events. The primary focus is on accuracy of detection of CHF, prevention being the major concern
A proposals of convolution neural network system for malicious code analysis based on cloud systems

Background/Objectives: In the information security field, artificial intelligence must be applied first. This is because the frequency of malicious code is too high and the processing method is too difficult, which is very difficult for human to handle. Methods/Statistical analysis: In this paper, we developed a program to classify malicious codes into images and a Tensorflow system to classify malicious codes. The malware used as input was the computer virus code used in the BIG 2015 Challenge. This dataset, called a Kaggle dataset, consists of 10,868 bytes of train set. Findings: We used the Tensorflow SLIM library to develop this machine learning malware learning machine. This resulted in more than 80% accuracy. Especially, when the CRIS-Ensemble algorithm was added, the accuracy was 97%. The study of malicious code analysis using machine learning consists of two major parts. First, the process of making the virus into images is important. To classify 10,868 Kaggle malware datasets that the BIG 2015 winner showed 99.6% accuracy, Tensorflow's accuracy and parameter tuning are important, but finding the way to make good images is the most important technique Improvements/Applications: The results show that the malicious code classification system using machine learning can be an effective method to classify malicious code of malicious code by the accuracy of the result and ease of use.
DroidDet: Reducing Convolutional Neural Network for Object Detection on Embedded Devices

Convolutional neural networks (CNNs) become the center of many computer vision applications to solve a variety of tasks including object detection. However, it is difficult to deploy neural networks effectively on embedded devices with limited hardware resources. In this paper, we propose DroidDet a lightweight fully convolutional neural network that adopts YOLO object detection algorithm for the ARM Mali-T628 GPU of ODROID-XU4 board. Our DroidDet is constructed by strongly considering about the balance between accuracy, detection speed and model size with respect to the constrains in hardware resources.