Miracle-dz/UniFAR-FTUs huggingface dataset:
Incidence, Management and Outcome of Atonic Postpartum Haemorrhage at Tertiary Care Hospital

Aim: To study incidence, management and outcome of atonic postpartum haemorrhage. Methods: Cross sectional study design. Analysis of delivery data of one year at Pravara Rural Hospital. Results: There were 116 cases of atonic PPH. The incidence of atonic PPH was 0.88 percent. Atonic PPH was more in caesarean deliveries as compared to vaginal deliveries. It was more in emergency caesarean sections as compared to elective caesarean. There were 54 cases (46.55%) of mild PPH, who were successfully managed by medical methods. Uterine balloon tamponade was used in those cases who did not respond to medical management (31.89%). Surgical intervention in the form of either B Lynch suture or stepwise devascularisation including internal iliac ligation was performed in 5 cases and obstetric hysterectomy was required in 20 cases. There were two maternal deaths among 116 cases of atonic PPH. Conclusion: Atonic Postpartum haemorrhage is common among high risk pregnancies. Institutional deliveries will help in preventing and managing this complication in a effective manner. Facility Preparedness in all respect will prevent deaths due to atonic PPH. The incidence can be lowered by universal adoption of AMTSL. Wise and prompt decisions regarding use of different modalities or combination of modalities will save lives.
Pre- and postsynaptic dysregulation of dopamine signalling in Parkinson's disease

Dopamine (DA) is an important neurotransmitter that plays a fundamental role in motor control. Deficiency of DA in certain areas of the brain has been found to be the underlying pathophysiological mechanism for Parkinson’s disease (PD), which is mainly characterized by motor symptoms such as muscular rigidity, slowness in movement, tremor and postural instability. Treatment of PD relies on strategies restoring this DA deficiency. L-DOPA is a naturally occurring precursor in the DA synthesis machinery, and has been shown to be the most effective therapy for PD to date. However, its use has many long-term complications such as motor fluctuations and L-DOPA-induced dyskinesia (LID). The underlying mechanisms for these complications has yet to be clarified but is thought to be mainly a result of the malfunctioning DA system. This thesis aims to investigate the mechanisms behind this dysfunctional DA signaling at multiple levels from the blood-brain barrier (BBB) transport kinetics of LDOPA and its metabolites as well as the role of presynaptic DA and 5-HT neurons in the postsynaptic striatal responses in animal models of PD. The first study provided direct evidence that the status of the presynaptic DA-releasing compartment is a critical determinant of both the induction and maintenance of LID. The second study suggested that differential DA receptor activation rather than the excessive DA release could be the underlying mechanism for LID. In the third study, we used a prediction model, which provided a valuable tool to assess BBB transport kinetics of L-DOPA under therapeutic administration conditions. Altogether, this thesis provided evidence that presynaptic sites have a critical role in determining LID and sheds new light into DA release mechanisms by serotonin neurons. Of notable clinical relevance, our findings could help us to better understand mechanisms behind LDOPA-induced motor complications and response variability among individuals, and thus, have crucial implications for both neurorestorative approaches and development of drugs targeting serotonergic system for the management of LID.
Effects of Instrument-Assisted Soft-Tissue Mobilization on Ankle Range of Motion and Triceps Surae Pressure Pain Sensitivity

Background Within the practice of physical medicine, instrument-assisted soft-tissue mobilization (IASTM) is increasing in popularity. However, the intervention is still in its infancy and important clinical issues require elucidation; among these are the effects on asymptomatic individuals. Methods Twenty healthy males were allocated randomly to either 3 minutes of high-pressure IASTM or active self-stretch of the triceps surae muscles. Each individual served as his own control. Pre-post observations of active ankle range of motion, pressure-pain sensitivity and the occurrence of postintervention petechial haemorrhage were made. Results A significant within-group increase in ankle range of motion was observed for both groups, but no significant between-group differences were noted. Pressure-pain sensitivity remained essentially unchanged. No petechiae were detected postintervention. Conclusion Notwithstanding the limitations of this relatively small study and in relation to healthy individuals, IASTM increased active range of motion to the same extent as active self-stretch. Heavydose IASTM did not influence pain-pressure sensitivity and petechiae did not develop. LAY ABSTRACT The aim of this study was to observe whether treatment with a steel mobilization tool would relax muscles, reduce pain (by reducing sensitivity to pressure) and, if used aggressively, would result in superficial bleeding under the skin. Healthy men were asked to perform a calf stretch in one leg. Then 3 min of instrument-assisted soft-tissue mobilization was performed on their other calf using strong pressure. Relaxation was observed in both ankles after the intervention, indicating a similar degree of improved stretch. Surprisingly, pressure sensitivity did not change, indicating that the participants’ bodies did not get used to the pressure. Finally, the instrument caused no superficial bleeding despite being applied with heavy pressure and over a long period of time.
Child Sexual Abuse: Intra- and Extra-Familial Risk Factors, Reactions, and Interventions

This chapter outlines briefly the dynamics of the interplay between Child Sexual Abuse and Family. Child abuse is a state of emotional, physical, economic and sexual maltreatment meted out to a person below the age of eighteen and is a globally prevalent phenomenon. Child abuse is a violation of the basic human rights of a child and is an outcome of a set of inter-related familial factors among other ones. The primary focus is on the issues of intrafamilial and extrafamilial child sexual abuse, familial risk factors for abuse and broadly some theories that contribute to the understanding of intrafamilial child sexual abuse. The chapter also explores reactions of the family to the sexually abused child, evaluation of the interventions suitable for the same and the status of psychotherapy with respect to the sexually abused child and their family.
Mutations in PI(3,5)P2 Signaling and Neurodegeneration in Mouse and Human.

Membrane-bound phosphoinositides are signaling molecules that play a key role in vesicle trafficking in eukaryotic cells (Di Paolo and De Camilli, 2006). Proteins that bind specific phosphoinositides mediate interactions between membrane-bounded compartments whose identity is partially encoded by cytoplasmic phospholipid tags. Little is known about the localization and regulation of mammalian PI(3,5)P2, a quantitatively minor phosphoinositide that regulates membrane trafficking in the endosome-lysosome axis in yeast (Michell et al., 2006). We describe a multi-organ disorder with neuronal degeneration in the CNS, peripheral neuronopathy, and diluted pigmentation, in the pale tremor mouse. Positional cloning identified an Etn2 retrotransposon insertion in intron 18 of Fig4, the homolog of a yeast SAC-domain PI(3,5)P2 5-phosphatase located in the vacuolar membrane. The abnormal concentration of PI(3,5)P2 in cultured fibroblasts from pale tremor mice demonstrates conserved biochemical function of mammalian FIG4. The cytoplasm of affected cells is filled with large LAMP2immunoreactive vacuoles, consistent with dysfunction of the late endosome-
GATA-Fisika: A New Learning Innovation to Help Students Better Understand the Concept of Simple Harmonic Motion

: The most significant goal of teaching approach is improving students’ success in term of their conceptual understanding. The effective learning are very important during the learning process. Meanwhile, most of students think that physics is very difficult to understand. Many researchers have developed any learning strategies. Up to now, multimedia-based teaching approach is claimed as an interesting in teaching physics. However, many reports claim that they were not sufficient due to the lack of students’ kinaesthetic aspect. Therefore, we introduce the combination of multimedia technology and Indonesian traditional game as a new physics learning strategy. Our research was conducted in SMAN 9 Malang with the topic of simple harmonic motion (SHM). Our previous observation uncovered that many students faced difficulty in understanding the topic even the basic definition of SHM. The subject in this research was class X-MIA 5 consisting of 28 students. This research design used a mixed method with an embedded experimental design. The chosen traditional game was engklek well packaged combined with some puzzles and quizzes using Macromedia Flash Player. This research showed that GATA-FISIKA could improve the students’ understanding of the topic of simple harmonic motion.
Translation and Psychometric Evaluation of the Iranian Version of Iowa Infant Feeding Attitude Scale (IIFAS)

BackgroundThe maternal attitude toward infant feeding is one of the strong predictors of the start and continuation of exclusivebreastfeeding. According to the validity and reliability assessment of Iowa Infant Feeding Attitude Scale (IIFAS) in many countries, the purpose of this study was to examine psychometric properties of an Iranian version of this scale. Materials and MethodsThe present study was a cross-sectional and performed on 280-breastfeeding mothers in the first 48 hours after delivery. After translation with forward-Backward technique, in order to assess the structure validity, the confirmatory factor analysis (CFA) was conducted and the goodness of fit indices were calculated. Reliability of the tool was measured with the use of Cronbach’s Alpha coefficient for the measurement of internal consistency and the intra-class correlation coefficient (ICC) to assess the stability through test-retest method.Results: In the first phase of CFA, from 17 questions of the original version of the scale, six questions included 1, 4, 5, 8, 10, and 17 were removed due to the loading factor of less than 0.3. In the second phase of CFA, validity of the 11-question version with two-factor structure confirmed. The ratio of Chi- square to the degree of freedom was 2.44 that along with other goodness of fit indices of the model showed the two-factor model has excellent fit. The Cronbach’s alpha and ICC were 0 . 856 and 0 . 885, respectively; that represented the good reliability of the scale. ConclusionOverall, the results showed that the 11-question version of (IIFAS)is a valid, reliable, acceptable and repeatable tool for measuring infant feeding attitude in Iranian mothers.
Deep Learning–Based Prediction of Refractive Error Using Photorefraction Images Captured by a Smartphone: Model Development and Validation Study

Background Accurately predicting refractive error in children is crucial for detecting amblyopia, which can lead to permanent visual impairment, but is potentially curable if detected early. Various tools have been adopted to more easily screen a large number of patients for amblyopia risk. Objective For efficient screening, easy access to screening tools and an accurate prediction algorithm are the most important factors. In this study, we developed an automated deep learning–based system to predict the range of refractive error in children (mean age 4.32 years, SD 1.87 years) using 305 eccentric photorefraction images captured with a smartphone. Methods Photorefraction images were divided into seven classes according to their spherical values as measured by cycloplegic refraction. Results The trained deep learning model had an overall accuracy of 81.6%, with the following accuracies for each refractive error class: 80.0% for ≤−5.0 diopters (D), 77.8% for >−5.0 D and ≤−3.0 D, 82.0% for >−3.0 D and ≤−0.5 D, 83.3% for >−0.5 D and <+0.5 D, 82.8% for ≥+0.5 D and <+3.0 D, 79.3% for ≥+3.0 D and <+5.0 D, and 75.0% for ≥+5.0 D. These results indicate that our deep learning–based system performed sufficiently accurately. Conclusions This study demonstrated the potential of precise smartphone-based prediction systems for refractive error using deep learning and further yielded a robust collection of pediatric photorefraction images.
Improving the Accuracy of IR-Level Fault Injection

Fault injection (FI) is a commonly used experimental technique to evaluate the resilience of software techniques for tolerating hardware faults. Software-implemented FI can be performed at different levels of abstraction in the system stack; FI performed at the compiler’s intermediate representation (IR) level has the advantage that it is closer to the program being evaluated and is hence easier to derive insights from for the design of software fault-tolerance mechanisms. Unfortunately, it is not clear how accurate IR-level FI is vis-a-vis FI performed at the assembly code level, and prior work has presented contradictory findings. In this article, we perform a comprehensive evaluation of the accuracy of IR-level FI across a range of benchmark programs and compiler optimization levels. Our results show that IR-level FI is as accurate as assembly-level FI for silent data corruption (SDC) probability estimation across different benchmarks and optimization levels. Further, we present a machine-learning-based technique for improving the accuracy of crash probability measurements made by IR-level FI, which takes advantage of an observed correlation between program crash probabilities and instructions that operate on memory address values. We find that the machine learning technique provides comparable accuracy for IR-level FI as assembly code level FI for program crashes.
Comparison of Data Mining Algorithm: PSO-KNN, PSO-RF, and PSO-DT to Measure Attack Detection Accuracy Levels on Intrusion Detection System

Nowadays, computer networks are widely used to exchange valuable and confidential data information between servers to computers or cellular devices. Access to user control and use of software or hardware as a firewall often experience security problems. Unauthorized access to information through computer networks continues to occur and tends to increase. This study examines the attack detection mechanism by using three data mining algorithms based on particle swarm optimization (PSO), namely PSO-K Nearest Neighbor, PSO-Random Forest, and PSO-Decision Tree in the Canadian Institute for Cybersecurity Dataset (CICIDS2017). The initial experiment showed that the approach using the PSO-RF method was able to produce the highest accuracy of attack detection. Accuracy values generated using the PSO-RF algorithm with a combination of the number of trees and maximal depth = 20 in the CICIDS2017 dataset are intact higher than other proposed algorithms. The highest accuracy of attack detection in the CICIDS2017 dataset is intact, which is 99.76%. In the CICIDS2017 dataset 50% Benign and 50% Attack it turns out that the PSO-RF algorithm with a combination of the number of trees and maximal depth = 20 also gets the highest accuracy value of 99.67%.
Relationship between Iron Deficiency and Physical Activity in Female Mexican Garment Factory Workers

This study examined whether iron deficiency has a negative impact on physical activity (PA) in female Mexican factory workers. Non‐pregnant women (18 to 51 y) working in 4 garment factories in the state of Morelos, Mexico were identified as iron deficient anemic (IDA; N=14), iron deficient without anemia (IDNA; N=14) and normal (N=15). Anemia was defined as Hb<120 g/L and ID was defined by serum ferritin (SF) <16 μg/L. Soluble transferrin receptor (sTfR) combined with SF was used to calculate total body iron (mg/kg) by the method of Cook et al. (2003). An ActiGraph accelerometer was used to measure PA during four 24‐hr periods during the workweek and the 2‐regression model of Crouter et al. (2005) was used to determine the MET level. Dividing the women based on negative and positive body iron stores showed the greatest differences in moderate‐to‐vigorous PA (MVPA, > 3 METs). Compared to women with positive body iron stores (N=15) those with negative body iron (N=28) had 31 fewer min/day (18%) of MVPA, with 16 fewer min/day (23%) observed during the 9‐hr factory shift and 15 fewer min/day (14%) during non‐working hrs. Additionally, when using only Hb and SF to determine iron status, the IDA women were less active than non‐IDA women and IDNA women were less active than non‐IDNA women, however the majority of the difference in MVPA was observed during the non‐working hours. We conclude that ID contributes to reduced MVPA, which has important implications for productivity, earnings, quality of leisure and home‐based activities and obesity risk in this Mexican population.
Influence of mobile devices’ scalability on individual perceived learning

ABSTRACT With the increased popularity of mobile learning, there is a growing demand on the understanding of how the scalable technology, such as mobile devices, influences individual learning behaviours as well as their learning outcome. A theoretical model was built based on the adaptive structuration theory (AST) and the knowledge spiral theory. Using this model, we examined the relationship between structural sources, individuals’ adaptive structural behaviours, and their perceived learning. A Structural Equation Modeling method was employed in our empirical study. Findings indicate that users’ task adaptation had a positive influence on their perceived learning, In addition, their exploitive technology adaptation influenced the ultimate perceived learning, but the impact of users’ exploratory technology adaptation on learning was mediated by their task adaptation. Contrary to expectations, the effect of computer self-efficacy on exploitive and exploratory technology adaptation was negative, and exploratory technology adaptation negatively affected exploitive task adaptation. A detailed discussion of the findings and implications are provided in this paper.
Identity-Based Privacy Preserving Remote Data Integrity Checking for Cloud Storage

Although cloud storage service enables people easily maintain and manage amounts of data with lower cost, it cannot ensure the integrity of people's data. In order to audit the correctness of the data without downloading them, many remote data integrity checking (RDIC) schemes have been presented. Most existing schemes ignore the important issue of data privacy preserving and suffer from complicated certificate management derived from public key infrastructure. To overcome these shortcomings, this article proposes a new Identity-based RDIC scheme that makes use of homomorphic verifiable tag to decrease the system complexity. The original data in proof are masked by random integer addition, which protects the verifier from obtaining any knowledge about the data during the integrity checking process. Our scheme is proved secure under the assumption of computational Diffie–Hellman problem. Experiment result exhibits that our scheme is very efficient and feasible for real-life applications.
Evaluating the effect of using synchronous machine simulations to support traditional teaching methodology in electrical engineering degree courses

Synchronous machine concepts are abstract and difficult to understand on the basis of the equivalent electrical circuits. Many studies highlight the difficulty of engineering degree students in understanding electrical circuits and propose different methodologies to address this issue. This study aims to show how the use of computer‐assisted teaching improves general understanding of synchronous machines, in accordance with the following hypothesis: “complementing the traditional approach to teaching synchronous machines courses (based on theory lessons and practical laboratory sessions), with computer simulations, improves conceptual understanding and, consequently, course success rates. ” To test the effectiveness of the proposed teaching methodology, a controlled experiment was conducted. The students were divided into two groups, control and experimental, and their responses were compared. The former followed traditional teaching methodology, whereas the latter utilized the proposed complementary computer‐assisted simulations. Both groups were evaluated according to the same test comprised of a list of comprehension questions. The results of the z test analysis show that z = 4.365 and p < . 001, implying that the null hypothesis can be rejected and a significant contrast between the two groups can be recognized. The effect size, evaluated using Cohen's d, is d = 0.816, again indicating that the difference between the groups is significant. The posttest results reveal that the experimental group outperformed the control group in all three of the dimensions under analysis: theory, problems, and complete test.
Evaluation of the relationship between lifestyle and quality of sleep in postmenopausal women

Introduction: Lifestyle is one of the factors affecting on health, and if it be unhealthy, it can cause diseases and chronic problems in postmenopausal women. This study was performed with the aim to determine the relationship between lifestyle and quality of sleep in postmenopausal women. Methods: This cross-sectional study was performed in 2012 on 400 postmenopausal women referring to Women's clinics of training centers in Mashhad. The study tools included health-promoting lifestyle questionnaire and Pittsburgh Sleep Quality. Data was analyzed using SPSS software (version 16), and Pearson correlation coefficient, t-test, ANOVA, and linear regression tests. Results: The highest score of the behavioral aspects of lifestyle was related to spiritual growth and responsibility for health and the lowest score was related to physical activity. There was a significant inverse correlation between total scores of sleep quality and nutrition (P=0.011, r=-0.127), stress management (P=0.001, r=-0.171), and total score of lifestyle (P=0.001, r=-0.159). Conclusion: Healthy lifestyle improves quality of sleep in postmenopausal women. Â© 2014 Journal Management System. Created by sinaweb.