Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Development-based Care Programs by Mothers on Growth Indices of Infants with Low Birth Weight

Background: This study aimed to investigate the effect of development-based care programs by mother on low birth weight (LBW) infants after being discharged from hospital. The present research was based on the assumption that there is a difference between intervention and control groups regarding the mean neonatal growth indices on the 15th and 29th days. Methods: This quasi-experimental study was conducted on 60 infants with LBW (1,500-2,500 g) and gestational age of < 37 weeks in Beheshti Hospital, Isfahan, Iran. The study population was selected through convenience sampling method and then randomly divided into two groups of intervention (n=30) and control (n=30). In the intervention group, the mothers received developmental care training, and in the control group, the mothers received routine care. The data collection instrument were questionnaires, tape meter, stadiometer, and baby scale. The height, weight, and head circumference indices were measured and recorded on the 1st, 15th, and 29th days of birth. Results: The repeated measures ANOVA in within-group analysis revealed a significant difference in the mean weight and height indices of the infants between the intervention and control groups on the 1st, 15th, and\xC2 29th days of birth (P<0.001). However, there was no significant difference between the two groups in terms of mean head circumference (P<0.05). Also, the Bonferroni post-hoc test showed a significant difference between the intervention and control groups regarding the weight index on the 29th day (P<0.05). Conclusion: The results showed that the intervention could significantly increase the weight index in the infants. Given that some developmental care techniques are low-cost and executable by mothers, and LWB infants are at risk for various disabilities in the future, health managers are advised to utilize this technique to improve the quality of life in these infants.
Non-obstetric complications in preeclampsia

Preeclampsia is a multisystem disorder of pregnancy that remains a leading cause of maternal and foetal morbidity and mortality. It is still an underestimated risk factor for future cardiovascular, cerebrovascular, and kidney disease, developing often in the perimenopausal period of a woman’s life. It remains unclear whether preeclampsia is an individual risk factor for future cardiovascular, cerebrovascular, and renal events or an early marker of women with high-risk profiles for these diseases. Risk factors for cardiovascular disorders and preeclampsia are very similar and include the following: obesity, dyslipidaemia, insulin resistance, pro-inflammatory and hypercoagulable state, and endothelial dysfunction. Thus, the pregnancy can only be a trigger for cardiovascular alterations that manifest in development of preeclampsia. On the other hand, there is strong evidence that changes in cardiovascular, endothelial, and metabolic systems occurring in the course of preeclampsia may not fully recover after delivery and can be a cause of future disease, especially in the presence of other metabolic risk factors regarding, for example, perimenopause. In this review the authors present current knowledge about short- and long-term maternal consequences of preeclampsia, such as: cardiovascular disease, cerebrovascular incidents (posterior reversible encephalopathy and stroke), kidney injury (including the risk of end-stage renal disease), liver failure, and coagulopathy (thrombocytopenia and disseminated intravascular coagulation).
Assessment of antioxidant activity of Ocimum sanctum in healing of thermal burn wound with and without supportive treatment of silver sulfadiazine in rabbits

Background: Burns remain a major public health issue all over the world, especially in developing countries. Pseudomonas aeruginosa is a major cause of infection and death in patients with severe burns. So, there is a need to develop drugs which will decrease complications and prevent infections more effectively than the presently used drugs.Methods: Ocimum sanctum, ointment silver sulfadiazine and 24 Rabbits were used in this study. Animals were acclimatized and divided randomly into 04 groups of 06 animals each. After producing partial thickness burn wound ointment silver sulfadiazine was applied daily on the burn wound and Ocimum sanctum was administered orally once daily. Healing was assessed by wound contraction and Oxidative stress and Antioxidant Activity were measured by Malondialdehyde and Superoxide dismutase respectively. Results were analysed by student’s ‘t’ test, one way ANOVA followed by Dennett’s test. P values <0.05 were considered statistically significant.Results: At the end of treatment (After 28th Day) Group treated with ointment silver sulfadiazine+Ocimum sanctum showed maximum Percentage of wound contraction (93.17±4.34), maximum decrease of MDA percentage (0.30±0.02 nmol/ml) and maximum increase of SOD percentage (0.0045±0.0002 IU/gm of Hb). Conclusions: Most effective treatment for burn wound healing in this study was ointment silver sulfadiazine+Ocimum sanctum.
Neuro-Fuzzy Modeling with Structure and Parameter Optimization

This work presents a method for non-linear fuzzy model identification. The main characteristic of the method is the automatic determination of the number of fuzzy sets in the domain of each input variable and the further optimization of their location by a gradient descent algorithm. The output rule parameters are also optimized by a Least Square Error minimization. The fuzzy sets are determined in such a way that the resultant fuzzy rule base is readable by domain experts. The methodology is applied to numerical examples found in the literature.
Classification for EEG Signals of Different Mental Tasks Based on PNN neural network

Electroencephalogram (EEG) signal is an important information source of underlying brain processes. The communication based on EEG between human brain and computer is a new modality of human—computer interaction. Through time-domain regression method for EEG Denoising pretreatment, AR model coefficient is extracted as feature vector, and classifies the mental tasks based on PNN network. According to the an analysis and experiment results, the method can get high correct rate of Classification.
Sacroiliac Joint Asymmetry Regarding Inflammation and Bone Turnover: Assessment by FDG and NaF PET/CT

Objective(s): This study was undertaken to determine the role of computed tomography (CT)-based methodology to segment the SI joint and quantify the metabolic activity using positron emission tomography (PET). We measured tracer uptake in the right and left SI joints independently to look for differences between the two sides. Further, we correlated tracer uptake with BMI and studied the inter-observer variation with regard to estimated tracer uptake in the SI joints. Methods: In this retrospective study, a total of 103 subjects (48 females, 55 males) from the CAMONA study database collected 2012-2016 at Odense University Hospital in Denmark were included. Mean age was 48±14.59 years, mean BMI was 26.68±4.31 kg/m2. The SI joints were segmented on fused PET/CT images using a 3D growing algorithm with adjustable upper and lower Hounsfield Units (HU) thresholds. The metabolic activities on the two sides were correlated with BMI. Results: For FDG, we found a higher average SUVmean on the right side (right: 1.3±0.33, left: 1.13±0.30; <0.0001). Similarly, for NaF, the uptake was higher on the right side (right: 5.9±1.29, left: 4.27±1.23; <0.0001). Positive correlations were present between BMI and FDG uptake (P<0.01) as well as NaF uptake (P<0.01). Conclusion: The PET-based molecular imaging probes along with the CT-based segmentation techniques revealed a significant difference in the metabolic activity between the two SI joints with higher inflammation and reactive bone formation on the right side. FDG and NaF uptakes correlated significantly and positively with BMI.
Precise bit error rate of TH-PPM UWB systems in the presence of multiple access interference

A time-hopping sequence is used in ultra-wideband wireless systems to eliminate catastrophic collisions in multiaccess communication environments. A new analytical method based on a characteristic function technique is proposed for precisely calculating the bit error probability of time-hopping pulse position modulation ultra-wideband systems with multiple access interference. The analytical expression is verified by simulation and used to assess the accuracy of the Gaussian approximation. The Gaussian approximation is shown to be inaccurate for predicting bit error rates for medium and large signal-to-noise ratio values.
Context-Aware Recommendations using Topic Maps Technology for the Enhancement of the Creativity Process

Learning can be observed in the creativity process. When this process is supported by a Creativity Support Tool (CST), considering the context in which ideas are developed, as well as the context around the user himself and the task he is carrying out can potentially enhance creativity.The tool’s awareness of such context can be exploited in the offering of useful context-aware recommendations to the users on topics such as relevant resources, people, ideas, projects, et cetera. These recommendations can help users during the creativity process and the learning involved, by providing productive stimuli. In the work presented in this chapter we focus on describing a method for enhancing the creativity process through context-aware recommendations. The method uses ontologies for the knowledge representation of context and the topic maps technology for storing, managing, and delivering content used as recommendations. Furthermore we present the software system that has been developed to support this method in a particular collaborative CST, as well as its evaluation.
An mHealth Walking Intervention forPregnant Women with Obesity

Introduction: Adverse maternal and infant health outcomes are associated with a rise in obesity and excessive gestational weight gain, which may be modified with physical activity in pregnancy. Using mobile health technology has the potential to reach widely at a low cost, to deliver physical activity interventions founded upon behaviour change theory to support women with gestational weight gain management. Aim: To establish the feasibility, practicality and acceptability of a walking-based intervention for women who are pregnant and obese. Specific objectives were to; conduct a systematic literature review; develop and test the feasibility, of a walking intervention for women who are pregnant and obese using mobile health technology; qualitatively evaluate participants' and health professionals' views on the intervention design; design a protocol for a definitive RCT intervention. Methods: A systematic review was conducted investigating the components and effectiveness of walking interventions for women who are pregnant and obese. Following this, feasibility randomised controlled trial, of a physical activity intervention to women who are pregnant and obese, delivered via Facebook, was implemented. It was developed using the Capability, Opportunity, Motivation- Behaviour model as per National Institute of Health and Care Excellence guidelines, to deliver self-monitoring, goal-setting and 'information about health consequences' behaviour change techniques. Semi-structured interviews with participants and health professionals assessed the acceptability of the intervention. Primary outcome measures were feasibility of recruitment, attrition, and trial procedures. Secondary outcomes were: engagement in Facebook group, physical activity, gestational weight gain, maternal and infant outcomes. Results: The systematic review identified two eligible studies, both underpowered but showing a trend in improved maternal outcomes. For the feasibility trial, 40 women were recruited. Retention rate was 85% in the intervention and 75% in the control group. Participants were compliant to wearing Fitbit (intervention arm 32/35 days and the control 28/35 days). In the intervention arm, 20/20 participants joined the Facebook group. The level of engagement varied, with some active and some 'lurking' participants. The interviews revealed that participants found it practical and convenient to access health information via a closed Facebook group. Conclusion: Recruitment and adherence rates and Facebook participation, suggest that the study is feasible and acceptable. Findings from the feasibility study informed the final protocol of a large size randomised controlled trial, to test the effectiveness of a mobile health-based walking intervention.
Frailty among institutionalized older people: a cross-sectional study in Natal (Brazil)

Abstract Objective: Verify the prevalence of frailty and its associated factors in institutionalized older people. Methods: Cross-sectional study carried out in 10 nursing homes in Natal (Brazil), between October/2013 and January/2014. All institutionalized older people 60+ that were not hospitalized, in terminal state, coma or under palliative care were included in the study. The dependent variable of the study was the presence/absence of frailty, classified according to the following criteria: severe cognitive decline and/or impossibility of independent walking or being bedridden. The 5 criteria (muscular weakness, unintentional weight loss, low physical activity level, slowness and exhaustion) of Fried et al. were considered for those with preserved cognitive and walking capacity. The chi-square test or Fisher’s test and logistic regression were used for bivariate and multiple analysis, respectively. Sociodemographic, institution-related and health-related variables were also included. Results: Of the 321 participating older people, 80.1% were considered frail, 16.8% pre-frail and 3.1% non-frail. The final model demonstrated association of frailty with age (OR=2.67; 95%CI 1.39-5.14; p=0.003), presence of chronic diseases (OR=10.27; 95%CI 3.42-30.90; p<0.001), systemic arterial hypertension (OR=0.11; 95%CI 0.05-0.27; p<0.001) and institutionalization due to lack of caregiver (OR=2.55; 95%CI 1.36-4.76; p=0.003) adjusted by sex and type of institution. Discussion: Frailty was highly prevalent in institutionalized older people and its association with multi-factor aspects suggested that action of health services and government representations could aid in the prevention or delay of frailty onset, improving the life quality of older people.
Application of bispectral analysis in monitoring analgosedation during the hysteroscopy procedure

Wprowadzenie histeroskopii do codziennej praktyki ginekologicznej spowodowało ogromny postęp w diagnostyce i terapii patologii wewnątrzmacicznej. Kolejnym etapem było wprowadzenie elektroresektoskopu i metod ciągłego przepływu środków rozprężających jamę macicy. W celu zapewnienia pacjentkom optymalnych warunków leczenia, a także z przyczyn ekonomicznych takie zabiegi powinny być przeprowadzane w trybie ambulatoryjnym lub tzw. chirurgii jednego dnia. Należy w związku z tym dobrać do tych zabiegów odpowiednie techniki anestezjologiczne, np. analgosedację, stanowiącą alternatywę dla znieczulenia ogólnego. Największym problemem dla anestezjologa jest utrzymanie właściwego poziomu analgosedacji. Do oceny głębokości sedacji najczęściej stosuje się różne skale oceny, np. Skalę Ramsaya. Zastosowanie analizy indeksu bispektralnego (bispectral index – BIS) do oceny analgosedacji w zabiegach histeroskopii pozwala przeprowadzić zabieg komfortowo i bezpiecznie dla pacjentki, dzięki optymalizacji dawki środków używanych do uzyskania właściwego poziomu analgosedacji. Słowa kluczowe: histeroskopia, analgosedacja, analiza indeksu bispektralnego.
Pushing A Sled: Assessing Its Impact On Gait Temporospatial Parameters In Young Healthy Adults

RESULTS: There was a significant reduction in CSR post-intervention (19±10 vs. 23±11 mmHg, p<0.02) however, this was not significantly different between groups (p=0.45). PSS score did not change with the intervention (14±7 vs. 13±6 p=0.56) or differ between groups (p=0.7). Overall, CSR did not correlate with PSS scores (r= -0.03, p>0.2) and addition of the PSS score to CSR analysis did not alter the findings. However, there was a significant negative correlation between CSR and PSS scores of less than 15 (r= -0.3, p<0.001). Addition of PSS score to CSR analysis in only these participants did not show a training reduction of CSR compared to the control group (28±3 vs. 19±3 mmHg; 20±3 vs. 18±3 mmHg, p=0.172). CONCLUSION: In contrast to some findings with aerobic training, IHGT did not lower CSR in young, healthy males. Lower responses overall post intervention suggest that some habituation to the TSST occurred. Although considering PSS score did not alter current findings, CSR decreased with increasing reported stress up to a moderate reported stress level (PSS score of 15). This suggests that considering baseline levels of stress may be helpful in interpreting CSR changes with exercise interventions.
Recognition of Tomato Late Blight by using DWT and Component Analysis

Plant disease recognition concept is one of the successful and important applications of image processing and able to provide accurate and useful information to timely prediction and control of plant diseases. In the study, the wavelet based features computed from RGB images of late blight infected images and healthy images. The extracted features submitted to Principal Component Analysis (PCA), Kernel Principal Component Analysis (KPCA) and Independent Component Analysis performed (ICA) for reducing dimensions in feature data processing and classification. To recognize and classify late blight from healthy plant images are classified into two classes i.e. late blight infected or healthy. The Euclidean Distance measure is used to compute the distance by these two classes of training and testing dataset for tomato late blight recognition and classification. Finally, the three-component analysis is compared for late blight recognition accuracy. The Kernel Principal Component Analysis (KPCA) yielded overall recognition accuracy with 96.4%.
9P21.3 locus; An Important Region in Coronary Artery Disease: A Panel Approach to Investigation of the Coronary Artery Disease Etiology

Coronary artery disease (CAD) is a disease of major concern worldwide. It is the main cause of mortality in many societies and improving the understanding about the CAD mechanism, progression and treatment, is necessary. Recent discovery of genetic factors underlying CAD has improved our knowledge of the disease in support of well-known traditional risk factors. Genotype-environment interaction is known as the main risk factor. Loci on many different chromosomes have been identified as a risk factors that increase CAD susceptibility. Here we performed a comprehensive literature review pinpointing hotspot loci involved in CAD pathogenicity. The 9p21.3 locus is the most common region associated with CAD and its specific structure and function have been remarkable in many studies. Moreover, the variations in the 9p21.3 locus have been implicated in CAD patients in different populations around the world. According to conclusions from this the 9p21.3 locus can be the first point of focus in etiology investigations of CAD patients.
Load balancing in spatial individual-based systems using autonomous objects

Individual-based spatial simulations are a class of applications where a collection of entities interact locally with one another within a virtual space to generate some global collective behavior. An Eulerian autonomous-objects-based implementation of such a system partitions the virtual space and assigns each partition, together with the corresponding self-migrating (autonomous) entities, to a different physical node. Load balancing is achieved by dynamically adjusting the decomposition of the virtual space, which forces the corresponding autonomous entities to automatically migrate among physical nodes. This dissertation proposes a framework for dynamic load balancing in such systems and presents three specific algorithms based on different decompositions and management of the virtual space. The three spatial load balancing schemes presented are dynamic strips, dynamic rectangles and dynamic quadrilaterals. The primary advantages of this approach to load balancing are: (1) distributed decision-making, which facilitates scalability (2) full integration into the application, which permits load balancing to be performed without suspending the application and without any additional messages, (3) use of only near-neighbor communication, which preserves scalability, and (4) preservation of topology of the virtual space decomposition, which permits a simple and efficient communication structure for both the application and the load balancing schemes. The three dynamic load balancing schemes were applied to a generic individual-based simulation to study their effect on performance. The experiments show that all three algorithms are effective in improving overall performance using the optimal balancing interval. For simple problems and those involving a low computation-to-communication ratio, a one-dimensional space decomposition with the corresponding dynamic strips algorithm is best. For more complex problems, which are able to mask the communication overhead with adequate amounts of computation, the dynamic quadrilaterals algorithm achieves the best load balance and results in the best overall performance of the simulation.
Can Mesenchymal Stem Cell Transplantation and Fennel Ingestion Alter the Histology of Senile Diabetic Rat Ovary?

Background: The relation between menopausal status and diabetes mellitus remains controversial. However, clinical trials suggest that menopause would speed the progression to diabetes. Reproductive tract dysfunction is a recognized consequence of diabetes obesity syndrome (DOS). Therefore, a possible association between obesity, diabetes mellitus and abnormalities of female reproductive function may occur. Nowadays traditional medicinal plants and spices are commonly used for their possible effects as hypoglycaemic, antidiabetic and folliculogenic agents instead of using synthetic drugs. Recent studies suggest that bone marrow stem cells (BMSCs) are promising grafts to treat a variety of diseases, including reproductive dysfunction.Aim of the work: The objective of this study was to evaluate the therapeutic implication of MSCs and fennel ingestion on ovarian diabetically induced senile rats.Materials & Methods: 24 senile female albino rats were used in this study. They were divided into 4 equal groups: control group, diabetic group, diabetic/MSCs group and diabetic/ MSCs /fennel oil group. Treatments were continued for 8 weeks, and ovarian samples were collected for histological, immunohistochemical and ultrastructure studies.Blood glucose levels were estimated and serum hormonal analyses were performed.Results: Induction of diabetes caused variable sizes of typical ovarian follicular cysts and elevation of blood glucose level. Stem cell transplantation showed some amelioration in the ovarian structure and blood glucose level. Administration of both MSCs and fennel oil had the ability to lower the blood glucose level and restore ovarian structure in diabetic rats.Conclusion: The use of MSCs in regenerative medicine and tissue engineering makes them a promising therapy to treat diabetes mellitus complications. Fennel essential oil could be given to diabetic patients to ameliorate diabetes in addition to its use as a fertility enhancing agent.