Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence of Preterm Birth and its Associated Factors among Mothers Deliveredin Jimma University Specialized Teaching and Referral Hospital, Jimma Zone,Oromia Regional State, South West Ethiopia

Background: Being born before 37 weeks gestational age or before 259 days since the first day of a woman’s last menstrual period is defined as preterm birth according to the WHO. Being born too early is now the leading cause of death in children around the world. Preterm deliveries were responsible for 1 million out of the 6.3 million deaths of children under 5 in 2013. While the greatest burden is felt in developing countries, it is a problem everywhere. Its negative impacts stretch further when taking into account the health of mothers and the lives of the children who manage to survive. Objective: To determine the prevalence of preterm birth and its associated factor in Jimma University specialized teaching and Referral hospital south west Ethiopia, 2015. Methodology: Institution based, cross-sectional study was conduct to assess the prevalence of preterm birth and associated factors among mothers who gave births in JUSH from May 25th to June 25th, 2015. The final sample size was being 220 mothers selected by systematic sampling technique were being employed to select study participants. Data was being collected from the mothers through face to face interview using structured questionnaire. The collected data was being coded, sorted and processed using manual compilation and analysed using descriptive parameters (SPSS version 16.0) and other electronic devices. Result: The prevalence rate of preterm birth was 25.9%. Rural place of residency (OR=2.281, CI:(1.22-4.263), P=0.010), Substance intake during pregnancy (OR=0.530, CI:(0.281-0.998), P=0.049), History of abortion (OR=0.282, CI:(0.14-0.565), Pâ¤0.001), History of the Still Birth (OR=0.213, CI:(0.103-0.441), P=<0.001), History of Preterm Labor (OR=0.206, CI:(0.108-0.393), P=<0.001), Pre-mature rupture of membrane (OR=0.255, CI: (0.134-0.483), P=<0.001), History of bleeding during pregnancy (OR=0.216, CI:(0.11-0.423), P=<0.001), UTI during pregnancy (OR=0.488, CI:(0.243-0.981), P=0.044), Hypertension during pregnancy (P=0.003), Congenital abnormality of the new born (OR=0.195, CI:(0.45-0.84), P=0.029), History of twins delivery (OR=0.239, CI: (0.085-0.677), P=0.007), History of congenital abnormality (OR=0.159, CI:(0.038-0.66), P=0.011), History of low birth weight (OR=0.085, CI:(0.04-0.18), P=<0.001), History of preterm birth including the current (OR=0.005, CI: (0.002-0.018), P=<0.001) were determined as significant risk factors for preterm birth. Conclusion and Recommendation: Identifying pregnant women at the risk of preterm delivery and proving quality healthcare, community health education and awareness campaigns may decrease the rate of preterm birth and its consequences. Not only this, further researches should be performed to find out other possible associations that could lead to preterm birth with a larger sample size.
Investigating the Learning Process of Folk Dances Using Mobile Augmented Reality

Learning how to dance is not an easy task and traditional teaching methods are the main approach. Digital technologies (such as video recordings of dances) have already been successfully used in combination with the traditional methods. However, there are other emerging technologies such as virtual and augmented reality that have the potential of providing greater assistance, in order to speed up the process as well as assisting the learners. This paper presents a prototype mobile augmented reality application for assisting the process of learning folk dances. Initially, a folk dance was digitized based on recordings from professional dancers. Avatar representations (of either male or female) are synchronized with the digital representation of the dance. To assess the effectiveness of mobile augmented reality, it was comparatively evaluated with a large back-projection system in laboratory conditions. Twenty healthy participants took part in the study, and their movements were captured using motion capture system and then compared with the recordings from the professional dancers. Experimental results indicate that augmented reality (AR) application has the potential to be used for learning process.
What are the consequences of resistance? Exploring the impacts of insecticide and host-plant resistance for insect pest management

Soybean aphid, Aphis glycines Matsumura (Hemiptera: Aphididae), has been a prominent insect pest in the northcentral region since 2000. Insecticides are the primary management tactic for this pest, but some populations of soybean aphid resistant to pyrethroid insecticides have been reported since 2015. This increases the impact of soybean aphid on soybean, Glycine max (L.) Merr (Fabales: Fabaceae), production, which is already challenged by higher input costs, declining market value, and unpredictable weather. Soybean aphid-resistant varieties are available to farmers but limited to genetic backgrounds that exclude herbicide-tolerance. This is a significant barrier to adoption since farmers rely on herbicide-tolerant varieties for convenient weed control. We hypothesized that the value of aphid-resistant varieties will vary depending on the environment, aphid-resistant varieties provide better yield protection than insecticide applications, and insecticide-resistant aphids will further reduce profit margins for soybean farmers. To test these hypotheses, plots were established in 2016 and 2017 at two locations in Iowa that varied in their risk for an aphid outbreak. Planting date was varied at these locations to mimic different yield environments. Aphid populations were recorded weekly and plots were harvested for yield data. We then performed an economic analysis of the soybean-soybean aphid system in Iowa. Results from the field experiment were incorporated into the analysis as assumptions or components of the model. The model was used to predict how expected yield and expected net revenue are affected by farmer decisions related to management of soybean aphid outbreaks that may contain insecticide-resistant soybean aphids.
[Trends in the prevalence of ARIs and ADDs in early childhood and associated factors: Ensanut 2012 and 100k.]

OBJECTIVE To compare the prevalence of acute respiratory infections (ARI) and acute diarrheal disease (ADD) among children younger than five years of age living in localities with less than 100 000 inhabitants in Encuesta Nacional de Salud y Nutrición (Ensanut) 2012 and Ensanut 100k (2018). In Ensanut 100k, we evaluate the associated factors. MATERIALS AND METHODS Analysis of both surveys and of the Mexican Meteorological System. RESULTS The estimated prevalence of ARI was 45.1% in 2012 vs. 32.9% in 2018. The decrease was significant among medium and high-income households. There were no changes in trends for ADD. Among households with lower EC, ARI was associated with roofing material, temperature, and rainy precipitation while ADD was associated with lack of piped water. CONCLUSIONS The estimated prevalence of ARI has decreased in medium and high income households. Some households and weather conditions are associated with ARI and ADD.
Oral Administration of Citrus Extracts in Suckling Piglets

Abstract An experiment was conducted to evaluate the performance of suckling piglets subjected to oral administration of citrus extracts (CE). Twenty sows were used with ten sucking piglets on average initial weight of 1.26 kg (± 0.32) for 21 days. The experimental design was a randomized complete block design with two treatments: Negative Control (without antimicrobials) and Citrus Extracts (ascorbic acid + flavonoids, oral administration of 0.3 mg kg of BW via pigdoser) with ten repetitions each. The number of live-born piglets in females PO5 was 21% higher than in PO3 sows. Sows where piglets received CE showed a 10% higher (P <0.05) feed intake in the last week of lactation. From 8 to 21 days, the feed conversion of NC sows was 23 and 38% lower (P <0.05) than sows where piglets received CE. Piglet mortality was 13.4% in NC group and 3.9% in CE group in a single dose on the third day of life. The villous length in the duodenum was 24% higher (P <0.01) in piglets receiving CE. The administration of CE increased 19% (P = 0.02) the villous length of the ileum region of suckling piglets. Frequency of normal feces was higher (P<0.05) in piglets CE group. Oral administration of CE containing flavonoids and ascorbic acid to suckling piglets not improves the piglet growth. However, it alters the gut morphology, and reduces the frequency of diarrhea during suckling period. Parity order interferes on feed intake, feed conversion of sows and performance of litters.
Midazolam Promotes the Mobilization of Endothelial Progenitor Cells and Increases the Plasma Concentration of VEGF in Rats with Myocardial Ischemia Treated with G-CSF

Background: Midazolam is commonly used during the perioperative period in patients with cardiac operations, especially in the patients with myocardial ischemia (MI). Some studies have demonstrated that midazolam stimulates vascular endothelial growth factor (VEGF) release in aortic smooth muscle cells. As we all know, VEGF is a hypoxia-inducible factor, which enhances vascular permeability, promotes angiogenesis, and appears to play an important role in the mobilization of endothelial progenitor cells (EPCs). The aim of this study was to evaluate the effects of midazolam on both VEGF release and the mobilization of EPCs in rats with myocardial ischemia treated with granulocyte colony-stimulating factor (G-CSF). Methods: Thirty-six rats with myocardial ischemia were randomly divided into three groups (n=12): control group, G-CSF alone-group and G-CSF plus midazolam group (control group, G-CSF group and midazolam group), pretreated with G-CSF for five days, and followed by continuous infusion of saline and midazolam into the veins for six hours on the sixth day. The number of CD34+ mononuclear cells (MNCs) and EPCs, and the plasma concentrations of VEGF and C-reactive protein (CRP) were measured at the end of the six-hour infusion. Left ventricular end-diastolic pressure (LVEDP), and maximal and minimal rates of rise of pressure in the left ventricle (dp/dtmax and dp/dtmin, respectively) were measured with a modified non-circulating Langendorff apparatus.Results: Compared to the control group, rats in the G-CSF group had a higher concentration of VEGF and increased levels of CD34+ MNCs and EPCs (P<0.05). Whereas compared to the G-CSF group, the concentrations of VEGF and the number of CD34+ MNCs and EPCs in the midazolam group were significantly higher (P<0.05). The LVEDP of the rats in both the midazolam and G-SF groups were significantly lower than that of the control group (P<0.05); while the dp/dtmin of the rats in both the midazolam and G-CSF groups were significantly higher than that of the control group, and the dp/dtmin in the midazolam group was higher than that of the G-CSF group (P<0.05). Conclusions: G-CSF can increase VEGF concentration and promote EPC mobilization in rats with myocardial ischemia. Midazolam reinforces the above effects and increases vascular dilation. Citation: Ting-Ting Chen, Wei-Dong Mi, Gang Wang, Li-Bing Li. Midazolam promotes the mobilization of endothelial progenitor cells and increases the plasma concentration of VEGF in rats with myocardial ischemia treated with G-CSF. J Anesth Perioper Med 2016; 3: 119-124. doi: 10.24015/JAPM.2016. 0016This is an open-access article, published by Evidence Based Communications (EBC). This work is licensed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium or format for any lawful purpose. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Ductal carcinoma In situ: The challenges and approaches

Cancer cells are in situ or invasive depending upon whether they have invaded basement membrane or not. Ductal carcinoma in situ (DCIS) signifies in situ growth in the ductal system of the breast. Screening mammography has revolutionized the screening and diagnosis of this clinically occult disease. Diagnosis may be further improved by ultrasonography and magnetic resonance imaging in selected cases. Suspicious area in the breast is subjected to fine needle aspiration cytology (FNAC). The drawback of this simple procedure (FNAC) is that basement membrane cannot be assessed, and hence, image-guided, core needle biopsy or tru-cut biopsy is used to overcome this drawback. After confirmation of the diagnosis, DCIS may be treated by breast conservation or mastectomy and/or radiation. This paper discusses the various challenges encountered at every step in this clinically occult disease during screening, diagnosis, and treatment. Means and ways are highlighted to overcome the challenges.
Síndrome antifosfolípide Antiphospholipid syndrome

Antiphospholipid syndrome is an acquired multisystem disorder characterized by recurrent thromboses in the arterial system, venous system, or both. Antiphospholipid syndrome is classified into 2 groups: primary and secondary. Secondary antiphospholipid syndrome is often associated with systemic lupus erythematosus and less frequently with infections, drugs and other diseases. Serologic markers are antiphospholipid antibodies, lupus anticoagulant and anticardiolipin. The primary diagnostic criteria include arterial thrombosis or venous thrombosis and recurrent fetal loss. About 41% of patients with lupus anticoagulant have skin lesions as the first sign of antiphospholipid syndrome. Cutaneous manifestations include livedo reticularis, cutaneous ulceration and livedo vasculitis. The mainstays of prophylaxis and treatment of thrombosis are anticoagulant and antiplatelet agents.
Liquefaction potentials analysis of sandy gravel on the sediment deposit of the Serpong formation

Experimental Power Reactor Design in Serpong has been completed consisting of 4 (four) buildings, namely reactor buildings, supporting reactors buildings, switchgear buildings, and turbine buildings which are the main building of RDE power plants. Soil testing series has been carried out and delivered a number of data on sediment deposit formation which in its surface area is a sandy gravel soil layer and has the potential for liquefaction. Several analyses were carried out to test the liquefaction potential including surface sediment vulnerability analysis, grain size distribution analysis, liquefaction safety factor analysis, and liquefaction index analysis. The results show the level of vulnerability of the Serpong formation liquefaction in the medium category and there is a zone that has a high potential for liquefaction at DH-16 and DH-17.
IoT/cloud‐enabled smart services: A review on QoS requirements in fog environment and a proposed approach based on priority classification technique

Smart applications are increasingly emerged in our daily professional and personal lives, ranging from augmented reality and gaming applications to E‐health and telesurgery services. In fact, the growing development of Internet of Things (IoT) and its integration with cloud and fog paradigms have encouraged infrastructures and services providers to perform intelligence in advanced technologies. However, the deployment of IoT/cloud‐enabled smart services still suffers from several quality of services (QoSs) management issues such as latency sensitivity for interactive applications and real‐time big data analytics. In this paper, we propose to present a novel approach for the management of smart services QoS. Accordingly, we introduce an overview of QoS requirements in fog computing environment for several IoT/cloud‐enabled use cases, to identify QoS metrics. The synthesis of the requirements review allows us to present a solution for QoS enhancements on the basis of a priority classification (PC) technique. Simulated with iFogSim, PC shows a significant enhancement of the system performance, notably for latency, energy consumption, and network usage.
Variance of the Gait Parameters and Fraction of Double-Support Interval for Determining the Severity of Parkinson’s Disease

The aim of this study was to determine the gait features that are most suitable for the quantified assessment of the severity of Parkinson’s disease (PD). This study computed the mean and variance of the four phases of gait intervals, i.e., stride, swing, stance and double-support intervals, and lateral difference to determine the difference between three groups, i.e., control subjects and PD patients with two severity levels (early and advanced stage) of the disease, PD1 and PD2. Data from 31 subjects were used in the study. The data were obtained from the public database (16 control healthy subjects, 6 Parkinson’s disease patients with early stages, and 9 Parkinson’s disease patients with advanced stages based on the Hoehn and Yahr scale). The main outcome measure of the study was the group difference of the four gait interval parameters and the statistical significance of this difference. The results show that there was a significant increase in the variance of the four gait intervals with the severity of the disease. However, there was no significant difference in the mean values between the three groups. It was also observed that the fraction corresponding to the double-support interval was significantly higher for PD patients. This study has shown that the variance of the gait parameters and the fraction of double-support interval are associated with the severity of PD and may be suitable measures for a quantified evaluation of the disease.
Applied machine learning and artificial intelligence in rheumatology

Abstract Machine learning as a field of artificial intelligence is increasingly applied in medicine to assist patients and physicians. Growing datasets provide a sound basis with which to apply machine learning methods that learn from previous experiences. This review explains the basics of machine learning and its subfields of supervised learning, unsupervised learning, reinforcement learning and deep learning. We provide an overview of current machine learning applications in rheumatology, mainly supervised learning methods for e-diagnosis, disease detection and medical image analysis. In the future, machine learning will be likely to assist rheumatologists in predicting the course of the disease and identifying important disease factors. Even more interestingly, machine learning will probably be able to make treatment propositions and estimate their expected benefit (e.g. by reinforcement learning). Thus, in future, shared decision-making will not only include the patient’s opinion and the rheumatologist’s empirical and evidence-based experience, but it will also be influenced by machine-learned evidence.
Design and Optimization of Magnetic Coupled Resonant Wireless Power Transfer System at Weak - coupling Region

Frequency splitting is one of the hot topics in the research of magnetic coupling wireless power transfer technology. Its purpose is to improve the transmission efficiency by eliminating the frequency splitting at the over-coupled region of the system. Frequency splitting does not occur at the weak coupling region. The transmission characteristics of the system in weak-coupled region are also of research significance. The mathematical model of the system’s transmission characteristic was established by equivalent circuit theory. Several key factors that affect the transmission characteristics of the system, self-inductance of the coil, mutual inductance between the coils, load resistance and so on, were obtained. A magnetically coupled resonant wireless power transfer system is designed and A method of coil design is proposed. The transmission efficiency of the system at the weak-coupling region was improved by optimized the design of the coil. Simulation and experimental results had good consistency. The results show that the transmission performance of the system at the weak-coupling area was improved.
Multirotor Sizing Methodology with Flight Time Estimation

This paper addresses the need for sizing of rotors for multirotor vehicle applications such as personal air transport, delivery, surveillance, and photography. A methodology for the propeller and motor selection is developed and augmented with flight time estimation capabilities. Being multirotor-specific it makes use of the platform’s simplicity to rapidly provide a set of off-the-shelf components ready to be used in the vehicle. Use of operating points makes the comparison process fast, precise, and tailored to specific application. The method is easily implemented in software to provide an automated tool. Furthermore, clearly defined input and output parameters make it also usable as a module in other multicriteria optimisation algorithms. The new methodology is validated through comparison with a consumer-grade drone and the calculated results are compliant with manufacturer’s specification in terms of maximum hover time.
Ethical difficulties in Medical Rehabilitation in Romania – Case study

: In the field of medical rehabilitation, our patients are often in a vulnerable state and are unable to process the real dimension of their illness, so the way that disability is discussed with the patient and his/her family is crucial in the process of understanding their condition and the realistic rehabilitation outcomes. In Romania, these aspects developed later after the ending of the communist period, after we became part of different groupings such as EU and we started to establish good social networks. After a traumatic condition that changes the patient’s and his family’s life the medical decision concerns not only the short-term outcome, but also long-term disability management for daily-life activities.
SIFAT PRO-OKSIDAN SARI JERUK NIPIS (Citrus aurentifolia) TERHADAP AKTIFITAS ANTIOKSIDAN TEH HIJAU (Camellia sinensis)

The research was designed to understand the effect of addition of extract citrus on the antioxidative activity of green tea and to determine the optimum temperature at the process of green tea extraction to get the best antioxidative activity.Two treatment factors were arranged in completely randomized design with three replications. First treatment factor was the temperature extraction of green tea consisted of 30, 60 and 100 oC, whereas the second treatment factor was concentration of extract citrus consisted of 0.0, 0.2, 0.4, 0.6, 0.8 and 1 %. The contents of polyphenol, tannin, total acids were chemically determined, whereas antioxidative activity was determined by radical scavenging affect (RSA). Data were analyzed using analysis of variance (ANOVA) and Duncan’s Multiple Range Test (DMRT) if there was a significant difference in treatment effects.The research’s results show that there was insignificant interaction between temperature extraction of green tea and concentration of added extract citrus. Eventhough concentration of extract citrus did not significantly affect the contents of polyphenol and tannin but it affected significantly the contents of total acids and antioxidative activity of extract tea. The antioxidative activity at the concentration of extract citrus of 0.2 % was significantly greater than without extract citrus (as check treatment). The following increase in concentration of extract citrus until 1 % did not significantly increase in antioxidative activity. The temperature of tea extraction affected significantly on the contents of polyphenol, tannin, total acids, and antioxidative activity of extract green tea. The highest values were obtained at 100 oC and the the lowest at 30 oC. Temperature extraction of green tea of 100 oC and the addition of 0.2 % extract citrus was the optimum condition. At this condition, the extract green tea contained polyphenol, tannin, total acids, and antioxidative activity as high as 13.77, 12.77, 0.69 and 93.37 %, respectively.