bluuebunny/crossref_metadata_2025_split huggingface dataset:
Korelasi Cakupan ANC dan Cakupan Pemberian Tablet Besi Dengan Prevalensi Anemia Kehamilan
Authors: PANGASTUTI ASRINING 
Published: June 2020

Latar Belakang: Menurut WHO anemia pada ibu hamil adalah bila kadar hemoglobin <11 g/dl. Ada sekitar 40% kematian ibu berkaitan dengan anemia dalam kehamilan di negara-negara berkembang. Berdasarkan Riskesdas 2018 terdapat 48,9% ibu hamil anemia di Indonesia dengan proporsi terbanyak pada usia 15-24 tahun yaitu sebesar 84,6%. Tujuan: Penelitian ini bertujuan untuk menganalisis hubungan cakupan ANC dan cakupan pemberian tablet Fe dengan prevalensi anemia ibu hamil di Kota Surabaya tahun 2017. Metode: Jenis penelitian ini merupakan observasional deskriptif menggunakan desain cross-sectional. Penelitian ini menggunakan data sekunder berupa cakupan K1 dan K4, cakupan Fe-1, cakupan Fe-3 dan data pevalensi anemia. Variabel yang diteliti yaitu cakupan ANC dan cakupan pemberian tablet Fe sebagai variabel independen dan prevalensi anemia ibu hamil sebagai variabel dependen. Data yang terkumpul akan dianalisis dengan uji statistik korelasi spearman. Hasil: Uji statistik menunjukkan tidak ada hubungan cakupan ANC (p-value > 0,05) dan cakupan pemberian tablet Fe (p-value > 0,05) dengan prevalensi anemia ibu hamil. Kesimpulan: Tidak ada hubungan yang signifikan antara cakupan ANC dan cakupan pemberian tablet Fe dengan prevalensi anemia ibu hamil. Kejadian anemia pada ibu hamil dipengaruhi banyak faktor lain seperti status gizi dan kepatuhan ibu dalam konsumsi tablet Fe.
Skrinning Dan Uji Diagnostik Obesitas Dengan Bioelectrical Impedance Analysis Dan Meteran Inci Inelastis
Authors: Pratiwi Roselya Mutiara , Puspitaning Ati Ni Luh Putu Arum 
Published: June 2020

Backgound: Measurement of body fat percentage as estimates of obesity, which can be done with the method of measuring the bioelectrical impedance analysis (BIA) and the meter inches inelastic. Both of these methods can be used as a simple, safe and non-nvasive. Objective: To analyze the comparative measurement of obesity with the BIA and the meter inches inelastic. Method: The study was observational analytic with cross sectional design. Sample were taken and selected through simple ramdomize sampling method. Data obtained directly by measuring samples that met the inclusion criteria. Obesity screening data obtained by measuring the percentage of body fat using BIA method and meter inches inelastic. Results: Based on the calculationn, as many as 65 samples taken by proportional random sampling in each specialization the student of the Faculty of Public Health 2014 Airlangga University. The percentage of female students with obesity using the BIA was 29,2% and inelastic inch meter is 21,5%. The statistical test showed t test was 0,897 ( sig>0,05). Conclusion: There are differences in the measurement result mean obesity BIA metered inches inelastic screening tools and have a good validity in measuring obesity. Suggestion : For further research it is recommended to be more accurate in measuring using an inelastic inch meter, while when using BIA it should use altimeter measurement because it is needed for data input.
HUBUNGAN BODY IMAGE DAN POLA MAKAN DENGAN KEKURANGAN ENERGI KRONIS (KEK) PADA REMAJA PUTRI DI SMAN 6 BOGOR TAHUN 2019
Authors: Wardhani Priscelia Ika 
Published: June 2020

Salah satu masalah gizi yang terjadi pada remaja adalah kekurangan energi kronis (KEK). Riskesdas (2018) menunjukkan prevalensi risiko kurang energi kronis (KEK) pada wanita usia subur tertinggi dialami oleh remaja usia 15 – 19 tahun yang mencapai 36,3%. Salah satu faktor yang mempengaruhi terjadinya KEK pada remaja putri yaitu perhatian terhadap penampilan fisik (body image) dan pola makan. Tujuan: untuk mengetahui hubungan antara body image dan pola makan dengan kekurangan energi kronis (KEK) pada remaja putri di SMAN 6 Bogor tahun 2019. Metode: penelitian kuantitatif dengan desain cross sectional, sampel berjumlah 189 siswi. Pengumpulan data dengan kuesioner dan pengukuran lingkar lengan atas. Analisa data menggunakan uji chi square. Hasil: menunjukkan terdapat hubungan antara body image (appereance evaluation p = 0,000, appereance orientation p = 0,006, body area satisfaction p = 0,015, overweigt preoccupation p = 0,003, self-classified weight p = 0,000) dan pola makan (frekuensi makan p = 0,000 dan jenis ragam makan p = 0,000) dengan kekurangan energi kronis (KEK). Kesimpulan: ada hubungan antara body image dan pola makan dengan kekurangan energi kronis (KEK). Saran: bagi remaja dianjurkan untuk mengatur pola makan sesuai dengan pedoman gizi seimbang dan membangun body image yang positif sehingga mencegah terjadi KEK.
PENAMBAHAN L – ARGININ DALAM PENGENCER TRIS KUNING TELUR SETELAH EKUILIBRASI 2 JAM TERHADAP MOTILITAS DAN MEMBRAN PLASMA UTUH SPERMATOZOA DOMBA SAPUDI
Authors: Suryaningsih Hastini , Sabdoningrum Emy Koestanty , Susilowati Suherni , Sardjito Trilas , Wurlina Wurlina , Damayanti Tita 
Published: June 2020

This research was aimed to determine the addition of L-arginine on motility and sperm plasma membrane of Sapudi sheep after two hour equilibration time in egg yolk tris diluent. This research used fresh samples of sheep Sapudi semen collected by artificial vagina, then were devided into 4 treatments and 6 replications. Analysis of the data using Analysis of Variance (ANOVA) then proceed to the Duncan Test to determine significant differences between treatments. The first treatment P0 was no L – Arginine added as control. P1 was treated with 0,004 M L – Arginine. P2 was treated with 0,005 M L – Arginine, P3 was treated with 0,006 M L – Arginine. Result of two hour equilibration time for the sperm motility showed: (P0) 46,67a 5,16, (P1) 49,16ab 5,84, (P2) 55,00bc 7,74, (P3) 58,33c 6,83. Result of two hour equilibration time for the sperm plasm membrane were: (P0) 39,33a 4,92, (P1) 43,33ab 4,22, (P2) 46,50 bc 3,44, (P3) 50,83 c 3,48. The addition of L-arginine with a concentration as much as 0.006 M, shows the highest result in sperm motility and sperm plasm membrane intact of Sapudi semen.
KORELASI ANTARA LINGKAR DADA, PANJANG BADAN DAN TINGGI GUMBA TERHADAP VOLUME SEMEN DAN KONSENTRASI SPERMATOZOA SAPI MADURA
Authors: Mayola Dilla Aranda , Rimayanti Rimayanti , Warsito Sunaryo Hadi , Utama Suzanita , Eliyani Hana , Safitri Erma 
Published: June 2020

The aim of this research was to know the correlation between heart girth, body length, and wither’s height with semen volume and sperm concentration of Madura Bulls. Ten Madura bulls aged three to four years from Madura were measured. Variables observed were heart girth, body length, wither’s height, semen volume and sperm concentration. Data were analyzed by multiple linear regression analysis. The result of this research showed that there was no correlation between heart girth, body length, and wither’s height with semen volume Y = 25,212 + 0,190 X1+ (-0,131) X2 + 0,136 X3, so as there was no correlation between heart girth, body length and wither’s height with sperm concentration Y = 8739,559 + (-36,663) X1+ (19,714) X2 + 6,2960 X3. And than was no correlation between semen volume and sperm concentration Y = 7,303 + (-0,002) X1.
An Efficient Downhole Oil/Water-Separation System with Sucker-Rod Pump
Authors: Jiang Minzheng , Cheng Tiancai , Dong Kangxing , Liu Jintang , Zhang Huaiyu 
Published: June 2020

Summary
At present, many oil fields in China have entered the high-water-cut production period, and the water cut of oil wells has continued to rise. Therefore, how to reduce the water cut of the produced liquid, reduce the amount of surface water treatment, shorten the ineffective water circulation, and reduce the comprehensive production cost have become the key problems restricting the sustainable economic exploitation of a high-water-cut oil field. To this end, the development model of circular displacement and the oil-recovery technology of a downhole oil/water-separation system with sucker-rod pump (DOWS-SRP) are proposed. The technology system consists of downhole oil/water-separation devices, an injection/production pump-string system, a sealing system, and downhole data-test system, mainly applied to separating the oil and water in the well through the separation device. The separated water is then directly injected into the formation and the separated concentrated liquid is lifted to the ground so the water injection and oil recovery are completed simultaneously in the same wellbore. The field-test data show that after the implementation of injection/production technology in the same well, the surface liquid-production volume decreased by 90%, the water-cut decreased by 27%, and the water/oil ratio decreased by 93%. In addition, the liquid volume of lifting, gathering, and treatment was greatly reduced, as well as the surface infrastructure investment, to achieve the purposes of cost saving, energy saving, and consumption reduction. At the same time, the downhole reinjection replaces surface water injection, transforming ineffective surface water circulation into effective internal displacement power in the reservoir and improving the yield and recovery rate. The successful application of the quaternary-oil-recovery block has made it possible to redevelop a large number of abandoned oil reservoirs, providing a potential basis for quaternary oil production. In addition, the preliminary energy-saving effect and economic-benefit analysis are performed. The data show that the energy-saving effect of this technology is obvious and good economic benefit is obtained.
An Accurate Determination of the Shear Rate for High-Yield-Stress Drilling Fluids Using Concentric Cylinder Fann 35 Viscometer Data
Authors: Gautam Sidharth , Guria Chandan 
Published: June 2020

Summary
Rheology is very important for drilling fluid because it directly influences the cutting transportability, hole cleaning ability, lubricity, and filtration loss behavior while drilling. Over the years, the concentric cylinder Fann® 35 viscometer (Houston, Texas, USA) has been used regularly to monitor the properties of drilling fluids because of its simplicity in operations. In the Fann 35 viscometer, the dial readings at different rotor rotations are converted into shear stress; in contrast, the rotor rotation is transformed into the equivalent shear rate using a priori assumed Newtonian behavior of the test drilling fluids. Because the real-life drilling fluids are mostly non-Newtonian with a finite yield stress, the applicability of the simple shear-rate equation, which is frequently used to monitor drilling-fluid rheology, is questionable. A fluid exhibiting sufficiently high yield stress and an unsheared plug flow region near the vicinity of the cup also complicates the estimation of the shear rate. Besides this, the inaccurate values of true yield stress may also result in a poor estimate of the shear rates at different rotor rotations. In the present study, a comprehensive mathematical model is developed to estimate the rheology of drilling fluids with high-yield stress accounting for the fundamentals of rheology using the Fann 35 viscometer data. A generalized difference equation and subsequent Taylor series expansions are used to obtain the accurate wall shear-rate equation for the high-yield-stress non-Newtonian drilling fluids. The true yield stress, an input parameter for the shear-rate prediction, is also accurately determined with the proposed yield-stress model based on the capillary-rise method using two different capillaries.
Six different experimental fluids involving aqueous suspension of polyanionic cellulose (PAC; a salt-resistant filtration loss control agent), xanthan gum (XG; a viscosifying agent exhibiting the low shear rate viscosity), carboxymethyl cellulose (CMC; a fluid loss control additive), bentonite nanoclay (an additive for filtration and rheology control), and high-pressure and high-temperature synthetic drilling fluids based on American Petroleum Institute (API)-grade bentonite (BEN) and α-glycol functionalized fly ash (FNFA) were studied to validate the proposed yield stress and the shear-rate model. Finally, the shear rate, apparent viscosity, plastic viscosity, and Bingham yield point are predicted using the proposed models, and the results are compared with the existing shear-rate models.
24-month clinical, immune-virological outcomes and HIV status disclosure in adolescents living with perinatally-acquired HIV in the COHADO cohort, in Togo and Côte d’Ivoire, 2015-2017
Authors: Revegue Marc Harris Dassi Tchoupa , Takassi Elom , Eboua François Tanoh , Desmonde Sophie , Amoussou-Bouah Ursula Belinda , Bakai Tchaa Abalo , Jesson Julie , Dahourou Désiré Lucien , Malateste Karen , Raynaud Jean-Philippe , Arrivé Elise , Leroy Valériane 
Published: June 2020

Abstract
Background: Adolescents living with perinatally-acquired HIV (APHIV) face challenges including the disclosure of their HIV-serostatus that we explored in the West-African COHADO cohort. We assessed the 24-month outcomes among APHIV in relation to the disclosure of their own HIV-serostatus.Methods: Nested within the International epidemiologic Database to Evaluate AIDS pediatric West African prospective cohort (IeDEA pWADA), the COHADO cohort included antiretroviral (ART)-treated APHIV aged 10–19 years, enrolled in HIV-care <10 years, in Abidjan (Côte d’Ivoire) and Lomé (Togo) in 2015. An unfavorable outcome was defined when either death, loss to follow-up, progression to WHO-AIDS stage, a decrease of CD4 count >10% compared to baseline, or a detectable viral load (>50copies/mL) were notified at 24 months. None of these events defined a favorable outcome. We investigated correlates of APHIV favorable 24-month outcome using a logistic regression model.Results: Overall, 209 APHIV were included, 51.6% in Abidjan, 54.5% were females. At inclusion, median CD4 cell count was 521/mm3 (IQR[281-757]); 29.6% had a VL measurement of whom 3.2% in virological suppression. APHIV were younger in Lomé (median age: 12 years (interquartile range [IQR]:11-15) compared to Abidjan (14 years (IQR:12-15, p=0.01). Full HIV-disclosure increased from 41.6% at inclusion to 74.1% after 24 months. After 24 months of follow-up, 6 (2.9%) died, 8 (3.8%) were lost to follow-up, 4 (1.9%) were transferred out. Overall, 73.7% did not progress to WHO-AIDS stage, 62.7% had CD4 count above (± 10%) of the baseline value (48.6% in Abidjan versus 69.0% in Lomé, p<0.001). Among the 83.7% with VL measurements, 48.8% were in virological suppression (Abidjan: 45.4%, Lomé: 52.5%, p<0.01). The 24-month combined outcome was favorable for 45% (29.6% in Abidjan and 61.4% in Lomé, p<0.01): adjusted on baseline variables, it was not significantly associated with HIV-disclosure but significantly higher for APHIV living in Lomé compared to those in Abidjan (aOR: 17.24, 95%CI [3.69-80.44]).Conclusions: 24-month favorable outcome rates were low among West-African APHIV and differed across countries. HIV-disclosure frequency improved over time but remained low. Context-specific responses are urgently needed to improve adolescent’s care to reach the UNAIDS 90% target of virological success for those on ART.
Identification of Significant Climatic Risk Factors and Machine Learning Models in Dengue Outbreak Prediction
Authors: Nejad Felestin Yavari , Varathan Kasturi Dewi 
Published: June 2020

Abstract
Background: Dengue fever is a widespread viral disease and one of the world’s major pandemic vector-borne infections, causing serious hazard to humanity. The World Health Organisation (WHO) reported that the incidence of dengue fever has increased dramatically across the world in recent decades. WHO currently estimates an annual incidence of 50–100 million dengue infections worldwide. To date, no tested vaccine or treatment is available to stop or prevent dengue fever. Thus, the importance of predicting dengue outbreaks is significant. The current issue that should be addressed in dengue outbreak prediction is accuracy. A limited number of studies have conducted an in-depth analysis of climate factors in dengue outbreak prediction. Methods: The most important climatic factors that contribute to dengue outbreaks were identified in the current work. Correlation analyses were performed in order to determine these factors and these factors were used as input parameters for machine learning models. Top five machine learning classification models (Bayes network (BN) models, support vector machine (SVM), RBF tree, decision table and naive Bayes) were chosen based on past research. The models were then tested and evaluated on the basis of four-years data (January 2010 to December 2013) collected in Malaysia. Results: This research has two major contributions. A new risk factor, called the TempeRain Factor (TRF), was identified and used as an input parameter for the model of dengue outbreak prediction. Moreover, TRF was applied to demonstrate its strong impact on dengue outbreaks. Experimental results showed that the Bayes Network model with the new meteorological risk factor identified in this study increased accuracy to 92.35% and reduced the root-mean-square error to 0.26 for predicting dengue outbreaks. Conclusions: This research explored the factors used in dengue outbreak prediction systems. The major contribution of this study is identifying new significant factors that contribute to dengue outbreak prediction. From the evaluation result, we obtained a significant improvement in the accuracy of a machine learning model for dengue outbreak prediction.
Management of urinary tract infections what do doctors recommend and patients do? An observational study in German primary care
Authors: Gágyor Ildikó , Strube-Plaschke Stephanie , Rentzsch Katrin , Himmel Wolfgang 
Published: June 2020

Abstract
Background Uncomplicated urinary tract infections (UTIs) in women are usually managed in primary care with antibiotics. However, many women seem to prefer to handle UTI symptoms with nonsteroidal anti-inflammatory drugs (NSAIDs) and other remedies. The aim of this study was to compare UTI management as recommended by physicians with the patients’ management at home.Methods This prospective cohort study in German primary care is based on clinical data from local practices and patient questionnaires. Participating women completed a baseline data sheet in the practice; their urine sample was tested by a dipstick in the practice and cultured by a laboratory. The women reported treatment and symptom-related impairment on an eight-item symptom questionnaire daily for 7 days. Using growth curve models, we analysed the influence of time on the total severity score to examine how symptoms changed across days. We then examined whether symptom severity and symptom course differed between patients who took antibiotics or NSAIDs.Results A total of 120 women (mean age of 43.3 ± 16.6 years) were enrolled. The urine dipstick was positive for leucocytes in 92%, erythrocytes in 87%, and nitrites in 23%. Physicians prescribed antibiotics for 102 (87%) women and recommended NSAIDs in 14 cases. According to the women’s reports, only 60% (72/120) took antibiotics, while the remainder took NSAIDs and other remedies. Symptoms declined from day 0 to day 6, irrespective of whether women decided to take an antibiotic, NSAIDs, none or both, as confirmed by a significant curvilinear time effect (B = 0.06, SE = 0.005, p < .001). The symptom course, however, was moderated by taking antibiotics so that the change in symptom severity was somewhat more pronounced in women taking antibiotics (B = 0.06) than in the remainder (B = 0.04).Conclusion A substantial proportion of women did not follow their physicians’ treatment recommendations, and many used NSAIDs. All women had a good chance of recovery irrespective of whether they decided to take antibiotics. A sensitive listening to patient preferences in the consultation may encourage physicians to recommend and prescribe symptomatic treatment with NSAID more often than antibiotic medicines.
Predictors of total hip replacement in community based older adults: a cohort study
Authors: Mezhov Veronica , Laslett Laura L , Ahedi Harbeer , Blizzard C Leigh , Aspden Richard M , Gregory Jennifer S , Saunders Fiona R , Munugoda Ishanka P , Cai Guoqi , Cicuttini Flavia , Jones Graeme 
Published: June 2020

Abstract
Background: Hip osteoarthritis (OA) commonly affects older adults and leads to high morbidity. There is no preventative treatment available and total hip replacement (THR) is offered for end stage disease. Known predictors of THR include pain and radiographic OA. Hip structure has also been shown to worsen hip OA and predict THR. A better understanding of predictors of THR can aid in triaging patients and researching preventative strategies. The purpose of this study is to describe predictors of THR in community dwelling older adults. Methods: At baseline, participants had assessment of radiographic OA and cam morphology (from pelvic radiographs), shape mode scores (from dual energy X-ray absorptiometry (DXA)) and hip bone mineral density (BMD) (from DXA). After 2.6 and 5 years, participants reported hip pain using WOMAC (Western Ontario and McMaster Universities Osteoarthritis Index), and had hip structural changes assessed using magnetic resonance imaging (MRI). Risk of THR was analysed using mixed-effect Poisson regression.Results: Incidence of THR for OA over 14 years was 5.0% (40 / 802). As expected, WOMAC hip pain and hip radiographic OA both predicted risk of THR. Additionally, shape mode 2 score (decreasing acetabular coverage) (RR 1.57 per SD; 95% CI 1.01-2.46), shape mode 4 score (non-spherical femoral head) (RR 0.65/SD; 95% CI 0.44-0.97), cam morphology (α >60°) (RR 2.66/SD; 95% CI 1.38-5.13), neck of femur BMD (RR 1.85/SD, 95% CI 1.4-2.44) and bone marrow lesions (BMLs) increased risk of THR (RR 5.62/unit; 95% CI 1.1 – 28.81). Conclusion: In addition to hip pain and radiographic hip OA, measures of hip shape, cam morphology, BMD and BMLs independently predict risk of THR. This supports the role of hip bone geometry and structure in the pathogenesis of end stage hip OA and has identified factors that can be used to improve prediction models for THR.