Miracle-dz/UniFAR-FTUs huggingface dataset:
Determinants of Demand for Antenatal Care in Colombia

In recent years, interest on researching on antenatal care issues and other health promotion and prevention interventions has increased. However, even though there is a growing interest in publishing about antenatal care use, evidence concerning which, and how socioeconomic conditions influence whether a pregnant woman demands or not antenatal consultations on the assumption that the theoretical access to this service has not entry barriers, is still limited. In order to generate this evidence, a two-stage analysis was performed with data gathered on the Demographic and Health Survey (DHS) carried out by Profamilia in Colombia during 2005. The first stage was run as a logistic regression model showing the marginal effects on the probability of attending the first visit and an ordinary least squares model was performed for the second stage accounting for the absences to antenatal consultations once at least one visit was carried out. It was found that mothers living in the Pacific Ocean region as well as young mothers seem to have a lower probability of attending the first visit but these factors are not related to the number of absences to antenatal consultation once the first visit has been achieved. The effect of health insurance was surprising because of the differing effects that the health insurers showed. Some familiar and personal conditions such as willingness to have the last children and number of previous children, demonstrated to be important in the determination of demand. The effect of mother's educational attainment was proved as important whereas the father's educational achievement was not. This paper provides some elements for policy making in order to increase the demand inducement of antenatal care, as well as stimulating research on demand for specific issues on health.
Nonlocal problems with Neumann boundary conditions

We introduce a new Neumann problem for the fractional Laplacian arising from a simple probabilistic consideration, and we discuss the basic properties of this model. We can consider both elliptic and parabolic equations in any domain. In addition, we formulate problems with nonhomogeneous Neumann conditions, and also with mixed Dirichlet and Neumann conditions, all of them having a clear probabilistic interpretation. We prove that solutions to the fractional heat equation with homogeneous Neumann conditions have the following natural properties: conservation of mass inside $\Omega$, decreasing energy, and convergence to a constant as $t\to \infty$. Moreover, for the elliptic case we give the variational formulation of the problem, and establish existence of solutions. We also study the limit properties and the boundary behavior induced by this nonlocal Neumann condition. For concreteness, one may think that our nonlocal analogue of the classical Neumann condition~$\partial_\nu u=0$ on~$\partial\Omega$ consists in the nonlocal prescription $$ \int_\Omega \frac{u(x)-u(y)}{|x-y|^{n+2s}}\,dy=0 \ {\mbox{ for }} x\in\R^n\setminus\overline{\Omega}. $$
Efficient Prediction of Progesterone Receptor Interactome Using a Support Vector Machine Model

Protein-protein interaction (PPI) is essential for almost all cellular processes and identification of PPI is a crucial task for biomedical researchers. So far, most computational studies of PPI are intended for pair-wise prediction. Theoretically, predicting protein partners for a single protein is likely a simpler problem. Given enough data for a particular protein, the results can be more accurate than general PPI predictors. In the present study, we assessed the potential of using the support vector machine (SVM) model with selected features centered on a particular protein for PPI prediction. As a proof-of-concept study, we applied this method to identify the interactome of progesterone receptor (PR), a protein which is essential for coordinating female reproduction in mammals by mediating the actions of ovarian progesterone. We achieved an accuracy of 91.9%, sensitivity of 92.8% and specificity of 91.2%. Our method is generally applicable to any other proteins and therefore may be of help in guiding biomedical experiments.
The promoter of the Arabidopsis thaliana Cel1 endo-1,4- β glucanase gene is differentially expressed in plant feeding cells induced by root-knot and cyst nematodes

MEL I SSA G. M ITCHUM 1 , SERENELLA SUKNO 2 , X IAOHONG WANG 2 , Z IV SHANI 3 , GAL I T TSABARY 4 , ODED SHOSEYOV 4 AND ER IC L . DAV IS 2* 1 Department of Plant Microbiology and Pathology, University of Missouri, Columbia, MO 65211, USA 2 Department of Plant Pathology, North Carolina State University, Raleigh, NC 27607, USA 3 CBD Technologies Inc., 2 Pekeris St., PO Box 199, Rehovot, Israel 4 The Kennedy Leigh Centre for Horticultural Research, The Hebrew University of Jerusalem, PO Box 12, Rehovet 76100, Israel
Your installed apps reveal your gender and more!

In this paper, we highlight a potential privacy threat in the current smartphone platforms, which allows any third party to collect a snapshot of installed applications without the user's consent. This can be exploited by third parties to infer various user attributes similar to what is done through tracking. We show that using only installed apps, user's gender, a demographic attribute that is frequently used in targeted advertising, can be instantly predicted with an accuracy around 70%, by training a classifier using established supervised learning techniques.
Uncertainty estimates in regional and global observed temperature changes: A new data set from 1850

[1] The historical surface temperature data set HadCRUT provides a record of surface temperature trends and variability since 1850. A new version of this data set, HadCRUT3, has been produced, benefiting from recent improvements to the sea surface temperature data set which forms its marine component, and from improvements to the station records which provide the land data. A comprehensive set of uncertainty estimates has been derived to accompany the data: Estimates of measurement and sampling error, temperature bias effects, and the effect of limited observational coverage on large-scale averages have all been made. Since the mid twentieth century the uncertainties in global and hemispheric mean temperatures are small, and the temperature increase greatly exceeds its uncertainty. In earlier periods the uncertainties are larger, but the temperature increase over the twentieth century is still significantly larger than its uncertainty.
Importance of Platelet Phospholipase Cγ2 Signaling in Arterial Thrombosis as a Function of Lesion Severity

Objective—Platelet activation occurs in response to adhesion receptors for von Willebrand factor (GPIb-V-IX) and collagen (GPVI and α2β1 integrin) acting upstream of phospholipase C (PLC) γ2. However, PLCβ transduces signals from Gαq protein-coupled receptors for soluble agonists (P2y1, TxA2/TP, and thrombin/PAR). A Gi-dependent pathway amplifies most of these responses. Methods and Results—To evaluate the role of adhesion receptors signaling in arterial thrombosis, PLCγ2 knockout mice were studied in blood perfusion assays over fibrillar collagen and in a laser-induced mesenteric artery model of thrombosis. In vitro, PLCγ2-deficient platelets formed a single layer incapable of generating a thrombus on collagen, whereas Gαq-deficient platelets formed reduced size aggregates compared with wild-type cells. In the in vivo model, PLCγ2−/− mice displayed defective thrombus formation in superficial lesions but productive thrombosis after a more severe laser injury. In contrast, resistance to thrombosis was observed in Gαq−/− mice in both levels of injury. Conclusions—These results demonstrate that signaling through PLCγ2 plays an important role in arterial thrombosis, but that its contribution depends on the severity of the vascular lesion.
A Systematic Mapping Study on the Usage of Software Tools for Graphs within the EDM Community

field of educational data mining (EDM) has been slowly expanding to embrace various graph-based approaches to interpretation and analysis of educational data. However, there is a great wealth of software tools for graph creation, visualization, and analysis, both general-purpose and domain-specific, which may discourage EDM practitioners from finding a tool suitable for their graph-related problem. For this reason, we conducted a systematic mapping study on the usage of software tools for graphs in the EDM domain. By analysing papers from the proceedings of previous EDM conferences we tried to understand how and to what end graph tools were used, as well as whether researchers faced any particular challenges in those cases. In this paper, we compile studies that relied on graph tools and provide answers to the posed questions.
Is Video-Conferencing Helpful for Physical Education Classes in the New Normal? A PLS-SEM Analysis Adopting the Technology Acceptance Model

Research shows that videoconferencing tools can be used for delivering high-quality instruction in real-time to a large number of students simultaneously during and even in the aftermath of the pandemic. However, there is a lack of data on how favourable it is among students, particularly in the Philippine setting, in the field of Physical Education (PE). In this regard, this study aimed at inspecting exogenous factors linked to students’ acceptance of a video-conferencing platform in learning knowledge- and skill-based concepts in Physical Education through the adaptation of the Technology Acceptance Model. After performing the Partial Least Square-Structural Equation Modelling from a purposively selected sample of 250 teacher education students, the results showed that perceived ease of use (PEOU) positively affected perceived usefulness (PU). It was also found that PEOU and PU impacted behavioural intention. Lastly, behavioural intention (BI) positively leverages actual use of the Zoom platform. It can be inferred that students can benefit greatly from using the video-conferencing platform to learn various PE concepts. Moreover, another surprising discovery was that students could use the platform to efficiently learn, thus capitalising on the university’s educational system, even in the New Normal.
Can the outcome of pediatric extracorporeal membrane oxygenation after cardiac surgery be predicted?

PURPOSE The purpose of this study is to assess whether clinical and biochemical variables may be used to predict outcome in children treated with extracorporeal membrane oxygenation (ECMO) after cardiac surgery and to determine when to discontinue ECMO support. METHODS We retrospectively reviewed the medical records of 26 children treated with ECMO after cardiac surgery at our institution from October 2000 to May 2004. RESULTS Patients mean age was 16.4 months (range, two weeks to 144 months) and mean weight was 6.3 kg (range, 2.2-26 kg). Of the 26 children requiring ECMO support, 23 underwent biventricular repair, and 3 had single ventricle procedure. None of the single ventricle repair or the truncus arteriosus repair group survived the ECMO support. Twelve patients (46%) survived the ECMO support and were discharged from hospital. Four patients needed ECMO support after 45 min (mean) of cardiopulmonary resuscitation (CPR) time (range = 30-55 min) with 2/4 survived to discharge. All patients who survived to discharge showed no evidence of neurological deficit or disseminated intravascular coagulopathy (DIC) whereas 5 patients died following stroke, and 8 following DIC, respectively (p = 0.021 and 0.002). Renal failure developed in 8 cases (1 survivor and 7 nonsurvivors, p = 0.022). Seventeen patients (65%) required re-exploration of the mediastinum for bleeding. Length of time on ECMO, although it was longer among the nonsurvivors, was not significantly different between the survivor (74.5 hours) and nonsurvivor (118.2 hours) groups (p = 0.41). Inotrope score at ECMO initiation and serum lactate within 72 hours of ECMO were calculated and the difference between the two groups was not significantly related to survival (p = 0.29 and 0.22 respectively). CONCLUSION Our findings suggest patients who develop renal failure, stroke and DIC during ECMO support have a high mortality. Patients with single ventricle physiology, and repaired truncus arteriosus may benefit less from ECMO support and have an increased risk of death. Elevated levels of lactate during the first 72 hours, high inotrope score at the initiation of ECMO and long ECMO support duration (more than 3 days) are all potential variables that can be used in determining when to discontinue ECMO support.
Sustained expression of microRNA-155 in hematopoietic stem cells causes a myeloproliferative disorder

Mammalian microRNAs are emerging as key regulators of the development and function of the immune system. Here, we report a strong but transient induction of miR-155 in mouse bone marrow after injection of bacterial lipopolysaccharide (LPS) correlated with granulocyte/monocyte (GM) expansion. Demonstrating the sufficiency of miR-155 to drive GM expansion, enforced expression in mouse bone marrow cells caused GM proliferation in a manner reminiscent of LPS treatment. However, the miR-155–induced GM populations displayed pathological features characteristic of myeloid neoplasia. Of possible relevance to human disease, miR-155 was found to be overexpressed in the bone marrow of patients with certain subtypes of acute myeloid leukemia (AML). Furthermore, miR-155 repressed a subset of genes implicated in hematopoietic development and disease. These data implicate miR-155 as a contributor to physiological GM expansion during inflammation and to certain pathological features associated with AML, emphasizing the importance of proper miR-155 regulation in developing myeloid cells during times of inflammatory stress.
Analysis of approximate nearest neighbor searching with clustered point sets

Nearest neighbor searching is a fundamental computational prob- lem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these points into a data structure, so that given a query point, the nearest data point to the query point can be reported e- ciently. Because data sets can be quite large, we are primarily interested in data structures that use only O(dn) storage. A popular class of data structures for nearest neighbor searching is the kd-tree and variants based on hierarchically decomposing space into rectangu- lar cells. An important question in the construction of such data structures is the choice of a splitting method, which determines the dimension and splitting plane to be used at each stage of the decomposition. This choice of splitting method can have a signicant influence on the eciency of the data structure. This is especially true when data and query points are clustered in low dimen- sional subspaces. This is because clustering can lead to subdivisions in which cells have very high aspect ratios. We compare the well-known optimized kd-tree splitting method against two alternative splitting methods. The rst, called the sliding-midpoint method, which attempts to balance the goals of producing subdivision cells of bounded aspect ratio, while not producing any empty cells. The second, called the minimum-ambiguity method is a query-based approach. In addition to the data points, it is also given a training set of query points for preprocessing. It employs a simple greedy algorithm to select the splitting plane that mini- mizes the average amount of ambiguity in the choice of the nearest neighbor for the training points. We provide an empirical analysis comparing these two methods against the optimized kd-tree construction for a number of syntheti- cally generated data and query sets. We demonstrate that for clustered data and query sets, these algorithms can provide signicant improvements over the standard kd-tree construction for approximate nearest neighbor searching.
Golimumab — a new tool in the armoury against inflammatory arthritis

Abstract The development of biological drugs blocking tumour necrosis factor-alpha (TNF-α) has had a dramatic impact on the treatment of inflammatory arthritis in recent years. Golimumab is a fully human monoclonal antibody which inhibits TNF-α. It is licensed for the treatment of rheumatoid arthritis, psoriatic arthritis, and ankylosing spondylitis. In this review we evaluate the results of phase III studies using golimumab and explore the place of golimumab in the treatment of these diseases.
BCH ANGLES OF YOUNG FEMALE WEIGHTLIFTERS DURING SNATCH MOVEMENT

This study is aimed at using the BCH angle which represents the relative movement of lifter’s body and barbell to compare the snatch movement of two young female weightlifters. The snatch movements of these two female weightlifters were filmed by a high speed camera (120Hz) and analyzed by Kwon 3D motion analysis software. The BCH angle, defined as the angle between the projection vector of the 7th cervical spinous process to the barbell and the projection vector of the 7thcervical spinous process to the hip joint in the sagittal plane, was calculated. The differences of BCH angles during the whole snatch movement have been found between successful and unsuccessful lifts for S1, and even between successful lifts of S1 and S2. In conclusion, the BCH angle seems to be a simple and good variable to evaluate the snatch techniques of the weightlifters.
SAYP and Brahma are important for ‘repressive’ and ‘transient’ Pol II pausing

Drosophila SAYP, a homologue of human PHF10/BAF45a, is a metazoan coactivator associated with Brahma and essential for its recruitment on the promoter. The role of SAYP in DHR3 activator-driven transcription of the ftz-f1 gene, a member of the ecdysone cascade was studied. In the repressed state of ftz-f1 in the presence of DHR3, the Pol II complex is pre-recruited on the promoter; Pol II starts transcription but is paused 1.5 kb downstream of the promoter, with SAYP and Brahma forming a ‘nucleosomal barrier’ (a region of high nucleosome density) ahead of paused Pol II. SAYP depletion leads to the removal of Brahma, thereby eliminating the nucleosomal barrier. During active transcription, Pol II pausing at the same point correlates with Pol II CTD Ser2 phosphorylation. SAYP is essential for Ser2 phosphorylation and transcription elongation. Thus, SAYP as part of the Brahma complex participates in both ‘repressive’ and ‘transient’ Pol II pausing.
The Mediating Effect of Patient Satisfaction in The Effect of Service Quality on Patient Loyalty

Background: Pharmaceutical services are a form of health service that directly connects patients with pharmaceutical preparations. The quality of service greatly determines the level of patient satisfaction. Service quality and patient satisfaction are factors that influence patient loyalty. Method: The data analysis technique that will be used to test this research uses the Partial Least Square (PLS) method which is operated using SMARTPLS 4.0. Results: Service quality has a significant effect on patient satisfaction and patient loyalty, patient satisfaction has a significant effect on patient loyalty, and service quality has a significant effect on patient loyalty which is mediated by patient satisfaction. Conclusion: When a hospital provides better quality service than before, it will have an impact on high patient satisfaction and patient loyalty. The more positive patient satisfaction is, the more patient loyalty will increase. When service quality is improved, a positive perception of patient satisfaction arises, which can encourage increased patient loyalty.
Vaginal Dinoprostone Versus Intravenous Oxytocin for Labor Induction in Patients Not Responsive to a First Dose of Dinoprostone

Objective: To evaluate the efficacy of 2 different regimens for labor induction in patients with unfavorable cervix not responsive to a first dose of dinoprostone vaginal insert. Methods: Between November, 2011 and June, 2014, 338 patients underwent induction of labor. After standard 24 hours treatment, 94 singleton term pregnancies remained with a Bishop score ≤6 and were randomized into 2 different regimens: repeated vaginal dinoprostone (group A, n = 47) or intravenous oxytocin (group B, n = 47). Primary outcome was vaginal delivery, and the secondary outcomes were interval between labor induction and delivery and operative delivery rates. Results: Vaginal deliveries were significantly higher (group A: 26/47 (55.3%) and group B 16/47 (34.0%), P < . 05), and cesarean sections were significantly lower (group A 21/47 (44.7%) and group B 31/47 (66%), P < . 05) in patients who received a double dose of dinoprostone. The intervals between labor induction and onset of labor and between labor induction and delivery were lower in the group treated with oxytocin. Neonatal outcomes were similar in the 2 groups. Conclusion: A second dinoprostone vaginal insert is an effective and safe choice for patients with unfavorable cervix not responsive to a first 24 hours administration of dinoprostone for cervical ripening, and its use is associated with lower cesarean section rates.
Using Mobile Health (mHealth) and Geospatial Mapping Technology in a Mass Campaign for Reactive Oral Cholera Vaccination in Rural Haiti

Background In mass vaccination campaigns, large volumes of data must be managed efficiently and accurately. In a reactive oral cholera vaccination (OCV) campaign in rural Haiti during an ongoing epidemic, we used a mobile health (mHealth) system to manage data on 50,000 participants in two isolated communities. Methods Data were collected using 7-inch tablets. Teams pre-registered and distributed vaccine cards with unique barcodes to vaccine-eligible residents during a census in February 2012. First stored on devices, data were uploaded nightly via Wi-fi to a web-hosted database. During the vaccination campaign between April and June 2012, residents presented their cards at vaccination posts and their barcodes were scanned. Vaccinee data from the census were pre-loaded on tablets to autopopulate the electronic form. Nightly analysis of the day's community coverage informed the following day's vaccination strategy. We generated case-finding reports allowing us to identify those who had not yet been vaccinated. Results During 40 days of vaccination, we collected approximately 1.9 million pieces of data. A total of 45,417 people received at least one OCV dose; of those, 90.8% were documented to have received 2 doses. Though mHealth required up-front financial investment and training, it reduced the need for paper registries and manual data entry, which would have been costly, time-consuming, and is known to increase error. Using Global Positioning System coordinates, we mapped vaccine posts, population size, and vaccine coverage to understand the reach of the campaign. The hardware and software were usable by high school-educated staff. Conclusion The use of mHealth technology in an OCV campaign in rural Haiti allowed timely creation of an electronic registry with population-level census data, and a targeted vaccination strategy in a dispersed rural population receiving a two-dose vaccine regimen. The use of mHealth should be strongly considered in mass vaccination campaigns in future initiatives.