41 research outputs found

    Early Weight Gain During Pregnancy: Which Women Are the Most Affected?

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    Maternal weight gain during pregnancy is a good prediction tool in short and long term health of pregnant women and their children. To study the effect of early weight gain of pregnant women until the end of the 2nd trimester of pregnancy, depending on their pre-pregnancy body mass index. 116 healthy pregnant women were followed until the 2nd trimester of pregnancy, their weight and height before pregnancy, as well as the current weight at the end of the 1st and 2nd trimesters were collected. Data included age, parity, eating habits and physical activity level. Statistics were performed using the Statview software. The mean pre-pregnancy BMI was 27 ± 5.27 kg/m². Weight gain in the 2nd trimester is 6.33 ± 4.84 kg. It decreases with the increasing age of the mother (25% of women between 20 and 24.9 years vs 12.5% of more than 35). Also, it decreases with the increasing number of children (62.5% in nulliparous vs 25% in multiparous). Breakfast is skipped by 64.5 % of overweight pregnant women in the 1st trimester and 90 % in the 2nd one. 80.17% and 69.83% of pregnant women do not practice any physical activity. Overweight and obese pregnant women before pregnancy do not take enough weight during pregnancy. Prospects will to analyze behaviors related to health and social status

    Konversi Energi Panas Penggerak Utama Kapal Berbasis Thermoelectric

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    Energi sudah menjadi salah satu kebutuhan yang tidak dapat dipisahkan dalam segala aktivitas manusia. Energi saat ini dapat diperoleh dari sumber daya alam seperti minyak bumi yang telah ada dan juga dengan memanfaatkan gejala alam sebagai tenaga penggerak untuk memperoleh energi. Namun ketidakseimbangan antara kebutuhan energi dan energi yang tersedia saat ini membuat manusia berfikir untuk membuat energi alternative lainnya. Tidak terkecuali dalam dunia perkapalan, salah satunya yang kemudian diangkat dalam skripsi ini adalah memanfaatkan energi panas buangan mesin penggerak utama kapal sebagai sumber energi terbarukan dengan menggunakan metode konversi energi (thermoelektric). Thermoelectric merupakan metode konversi energi yang memanfaatkan perbedaan temperatur untuk menghasilkan energi listrik dengan memanfaatkan prinsip kerja peltier. Pada penelitian ini digunakan beberapa peltier yang disusun secara seri maupun parallel pada kondisi putaran mesin variasi mulai dari 1000 RPM sampai 2500 RPM yang bertujuan untuk mengetahui besar energi listrik yang dapat dihasilkan dari perbedaan temperature pada panas mesin utama kapal hasil pembakaran yang terbuang dengan suhu kamar mesin. Hasil penelitian ini menunjukkan bahwa sebuah peltier mampu menghasilkan maksimal daya pada kondisi putaran mesin 2500RPM dengan perbedaan suhu 33 ºC sebesar 1,12 Watt, dan susunan 2 buah peltier dirangkai seri memiliki daya yang lebih besar dibandingkan susunan peltier secara parallel pada kondisi putaran mesin yang sama yaitu sebesar 8,4 Watt. Ini menunjukkan sinkronisasi antara perbedaan suhu yang terjadi pada kedua sisi peltier dengan daya listrik yang dihasilkan pada peltier

    Aroma characterization of ripe date fruits (Phoemix dactylifera L.) from Algeria

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    The headspace of eight Algerian date varieties with low market value were analyzed for their aroma compounds using solid phase micro extraction and gas chromatography combined with mass spectrometry. In this study, 61 identified compounds were categorized in various chemical classes on the basis of their functional groups, alcohols, esters, aldehydes, terpenoids, ketones, hydrocarbons, and ethers. Twenty specific volatiles were found to be representative of a single variety and four shared molecules were exclusively observed in all the studied dates. Some dates such as Bent Qbala, Litima, and Timjouhart were statistically different from the other varieties which presented on the contrary a significant similarity between them. In the present study, forty eight new volatile compounds were identified which could be useful for the characterization of the Algerian date

    The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment

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    The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since July 2014. This paper describes the second data release from this phase, and the fourteenth from SDSS overall (making this, Data Release Fourteen or DR14). This release makes public data taken by SDSS-IV in its first two years of operation (July 2014-2016). Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey (eBOSS); the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data driven machine learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS website (www.sdss.org) has been updated for this release, and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020, and will be followed by SDSS-V.Comment: SDSS-IV collaboration alphabetical author data release paper. DR14 happened on 31st July 2017. 19 pages, 5 figures. Accepted by ApJS on 28th Nov 2017 (this is the "post-print" and "post-proofs" version; minor corrections only from v1, and most of errors found in proofs corrected

    Contribution des innovations technologiques agricoles à l’amélioration de la productivité : cas des variétés améliorées de manioc au Bénin

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    Cassava production in Benin is still characterized by low productivity compared to those of sub regional countries. Improved cassava varieties have been then developed. They have been promised to raise the productivity and thereby the income of farmers. This study examines the relationship between agricultural technology adoption and productivity improvement with focusing on high yield cassava varieties. The data used were collected from 267 randomly selected cassava producers in Benin. The paper uses the counterfactual outcomes framework of modern evaluation theory to estimate the Average Treatment Effect (ATE) of high yield cassava varieties adoption on farm-level average yield. Results indicate that the adoption of high yield cassava varieties farm-level average yield
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