Miracle-dz/UniFAR-FTUs huggingface dataset:
Calculating Student Performance of Jagannath University UsingArtificial Neural Network

In this paper an Artificial Neural Network (ANN) display, for estimating the execution of a sophomore understudy selected in designing majors in the Faculty of Science in Jagannath University of Bangladesh was created and tried. Various variables that may conceivably impact the execution of an understudy were illustrated. Such elements as higher secondary school score, score of subject, for example, Math I, Math II, Electrical Circuit I, and Electronics I taken amid the understudy first year, number of credits passed, understudy aggregate review point normal of first year, sorts of secondary school went to and gender orientation, among others, were then utilized as information factors for the ANN demonstrate. A model in light of the Multilayer Perceptron Topology was created and prepared utilizing information spreading over five eras of alumni from the Computer Science and Engineering Department of the Jagannath University, Dhaka Bangladesh. Test information assessment demonstrates that the ANN model can effectively foresee the execution of over 80% of forthcoming understudies.
GMSC: Updates of Advances on Its Therapy in Immunological Diseases

Mesenchymal stem cells (MSCs) derived from various tissues are multi-potency of self-renewal and differentiation into multi-lineages, including chondrocytes, adipocytes and osteoblasts in vitro and in vivo . In addition, these cells also display potent immune regulatory roles that benefit the treatment of inflammatory and autoimmune diseases. We and others have previously identified that human gingival-derived mesenchymal stem cells (GMSCs) not only share similar biological features, but also display some potential advantages compared to other MSC populations. In the chapter, we have discussed the discovery, phenotypic and func-tional characteristics, as well as updated the advances of these cell therapies in immunological diseases.
Modeling and Solving Large-scale Stochastic Mixed-Integer Problems in Transportation and Power Systems

In this dissertation, various optimization problems from the area of transportation and power systems will be respectively investigated and the uncertainty will be considered in each problem. Specifically, a long-term problem of electricity infrastructure investment is studied to address the planning for capacity expansion in electrical power systems with the integration of short-term operations. The future investment costs and real-time customer demands cannot be perfectly forecasted and thus are considered to be random. Another maintenance scheduling problem is studied for power systems, particularly for natural gas fueled power plants, taking into account gas contracting and the opportunity of purchasing and selling gas in the spot market as well as the maintenance scheduling considering the uncertainty of electricity and gas prices in the spot market. In addition, different vehicle routing problems are researched seeking the route for each vehicle so that the total traveling cost is minimized subject to the constraints and uncertain parameters in corresponding transportation systems. The investigation of each problem in this dissertation mainly consists of two parts, i.e., the formulation of its mathematical model and the development of solution algorithm for solving the model. The stochastic programming is applied as the framework to model each problem and address the uncertainty, while the approach of dealing with the randomness varies in terms of the relationships between the uncertain elements and objective functions or constraints. All the problems will be modeled as stochastic mixed-integer programs, and the huge numbers of involved decision variables and constraints make each problem large-scale and very difficult to manage. In this dissertation, efficient algorithms are developed for these problems in the context of advanced methodologies of optimization and operations research, such as branch and cut, benders decomposition, column generation and Lagrangian method. Computational experiments are implemented for each problem and the results will be present and discussed. The research carried out in this
Feasibility and Accuracy of Two-and Three-Dimensional Transthoracic Echocardiography in patients with Right Atrial Dilatation using the Right Parasternal Approach

Background: Echocardiography increasingly used for diagnosis of right atrial dilatation. Three dimensional is superior than two dimensional echocardiography. However, advances and new windows continues to emerge to increase its accuracy Aim of the work: to show the feasibility and accuracy of right parasternal approach and its usefulness in qualitative and quantitative assessments of right atrium in patients with right atrial dilatation in comparison with transesophageal approach. Patients and Methods: The study included thirty patients with right atrial dilatation. All patients underwent full history taking, clinical, 12-lead electro-cardiography and echocardiography. Transesophageal Echocardio-graphy was used as a gold standard for the accuracy of the right parasternal approach. Results: The study includes 30 patients with right atrial dilatation the right parasternal (RPS) view obtained in 18 patients (60%), and not obtained in 12 patients (40%). There was significant decrease of SVC anteroposterior minimal diameter (Min AP), crista terminalis (CT) width, CT length, right atrial appendage (RAA) base Maximum diameter and RAA base Minimum diameter, in 2D Echocardiography when compared to 3D Echocardiography. On the other side, there was no statistically significant difference in Right parasternal approach (3D) and Transesophageal approach. Conclusions: Parasternal approach is feasible in imaging right heart structures. In addition, three dimensional TTE had an incremental value over two dimensional TTE in the assessment of these structures
An image guided algorithm for range map super-resolution

Three-dimensional imaging is increasingly becoming important in a number of applications that observe and analyze real-world environments. Range sensors, such as flash imaging Lidar and Time-of-flight camera, which can deliver high accuracy range measurement images, but are limited by the low resolution. To overcome this limitation, this paper shows the benefit of multimodal sensor system, combining a low-resolution range sensor with a high-resolution optical sensor, in order to provide a high-resolution, low-noise range image of the scene. First, an extrinsic calibration algorithm is used to align the range map with optical image. Then, an image-guided algorithm is proposed to solve the super-resolution optimization problem. This algorithm using the Markov Random Field framework. It defines an energy function that combines a standard quadratic data term and a regularizing term with the weighting factors that relate optical image edges to range map edges. Experiments on synthetic and real data are provided and analyzed to validate this method. The result confirms that the quality of the estimated high-resolution range map is improved. This work can be extended for video super-resolution with the consideration of temporal coherence.
Blood Flow Modeling to Improve Cardiovascular Diagnostics: Application of A GTF to Predict Central Aortic Pressure using a 1-D Model

This study aims to demonstrate that a comprehensive one-dimensional model of the arterial network can be used in conjunction with the generalized transfer function (GTF) technique to estimate central aortic pressure using pressure waveforms obtained from peripheral sites. The peripheral and central pressure waveforms for a healthy subject are used to estimate transfer functions, which are then used to reconstruct central aortic pressure waveforms for a second model that simulates arterial stiffening. The similarities between the simulated aortic waveform and the waveforms estimated using the transfer function are and from the brachial, carotid and iliac arteries, respectively. The root-mean-square errors (RMSE) for the reconstructed waveforms from the brachial, carotid and iliac arteries are and mmHg, respectively. The results from this study illustrate that the proposed method provides a feasible alternative to higher dimensional models as well as experimental studies and can greatly enhance the accuracy of central aortic pressure estimation.
Report on the Verification of the Performance of a MON810 Event-specific Method on Maize Line MON810 Using Real-time PCR

The JRC as Community Reference Laboratory for GM Food and Feed (CRL-GMFF) (see Regulation EC No 1829/2003), has carried out an in-house verification study to assess the performance of the MON810 method to detect and quantify the MON810 transformation event in maize DNA (unique identifier MON-∅∅810-6). The method has previously undergone a full validation on samples represented by certified reference material. The present verification was conducted in order to verify the performance of the validated method on the control samples provided by the applicant as requested by Annex I.2. C.2 to Regulation (EC) No 641/2004 stating that “The method shall be applicable to samples of the food or feed, to the control samples and to the reference material, which is referred to in Articles 5(3)(j) and 17(3)(j) of Regulation (EC) No 1829/2003. ” The study was conducted according to internationally accepted guidelines . In accordance with Regulation (EC) No 1829/2003 of 22 September 2003 on genetically modified food and feed and to Regulation (EC) No 641/2004 of 6 April 2004 on detailed rules for the implementation of Regulation (EC) No 1829/2003, the CRL-GMFF carried out a verification of the event-specific detection method previously validated by the Federal Institute for Risk Assessment (BfR) in collaboration with the American Association of Cereal Chemists (AACC), Joint Research Centre (JRC) of the European Commission (EC), Institute for Reference Material and Measurement (IRMM), the Institute for Health and Consumer Protection (IHCP) and GeneScan, Berlin; Monsanto Company provided the control samples (MON810 maize seeds and conventional maize seeds) used in the verification. The JRC prepared the in-house verification samples (calibration samples and blind samples at different GM percentages). The results of the in-house verification study were evaluated with reference to ENGL method performance requirements (http://gmo-crl.jrc.ec.europa.eu/guidancedocs.htm) and to the results of the full validation (http://gmo-crl.jrc.ec.europa.eu/statusofdoss.htm). The results of CRL-GMFF in-house verification study are made publicly available at http://gmo- crl.jrc. ec.europa. eu/statusofdoss.htm). How to obtain EU publications Our priced publications are available from EU Bookshop (http://bookshop.europa.eu), where you can place an order with the sales agent of your choice. The Publications Office has a worldwide network of sales agents. You can obtain their contact details by sending a fax to (352) 29 29-42758. The mission of the JRC is to provide customer-driven scientific and technical support for the conception, development, implementation and monitoring of EU policies. As a service of the European Commission, the JRC functions as a reference centre of science and technology for the Union. Close to the policy-making process, it serves the common interest of the Member States, while being independent of special interests, whether private or national. LB -N A -2437-EN -C
Association between Ischemic Electrocardiographic Changes during Acetylcholine Provocation Test and Long-Term Clinical Outcomes in Patients with Vasospastic Angina

Objectives: Intracoronary injection of acetylcholine (Ach) has been shown to induce significant coronary artery spasm (CAS) in patients with vasospastic angina. Clinical significance and angiographic characteristics of patients with ischemic electrocardiogram (ECG) changes during the Ach provocation test are not clarified yet. Methods: A total 4,418 consecutive patients underwent coronary angiography with Ach provocation tests from 2004 to 2012 were enrolled. Ischemic ECG changes were defined as transient ST-segment depression or elevation ( > 1 mm) and T inversion with/without chest pain. Finally, a total 2,293 patients (28.5% of total subjects) proven CAS were enrolled for this study. Results: A total 119 patients (5.2%) showed ECG changes during Ach provocation tests. The baseline clinical and procedural characteristics are well balanced between the two groups. Ischemic ECG change group showed more frequent chest pain, higher incidence of baseline spasm, severe vasospasm, multi-vessel involvement, and more diffuse spasm ( > 30 mm) than those without ischemic ECG changes. At 5 years, the incidences of death, major adverse cardiac events (MACE) and major adverse cardiac and cerebral events (MACCE) were higher in the ischemic ECG change group despite of optimal medical therapy. Conclusions: The patients with ischemic ECG changes during Ach provocation tests were associated with more frequent chest pain, baseline spasm, diffuse, severe and multi-vessel spasm than patients without ischemic ECG changes. At 5-years, the incidences of death, MACE and MACCE were higher in the ischemic ECG change group, suggesting more intensive medical therapy with close clinical follow up will be required.
Preparing School Leaders: What Works?

Leadership preparation programs in eleven universities receiving grants from the Danforth Foundation were included in this study of preparation program effects and methods. Program graduates (N = 136) in administrative roles provided data about the value they attributed to characteristics of the programs which they had experienced. A sample of their teacher colleagues (N = 739) provided data about the nature and quality of leadership provided by the graduates in their schools. Results suggest that these programs made a significant contribution to leadership as actually practiced in schools, and that constructivist instructional strategies included in preparation programs accounted for much of this effect.
N-Terminal pro-Brain Natriuretic Peptide, Homocysteine and Methylenetetrahydrofolate Reductase Gene Polymorphism in Elderly Depressed and Mild Cognitive Impairment Patients

Purpose: To evaluate the role of N-terminal pro-brain natriuretic peptide, homocysteine and methylenetetrahydrofolate reductase gene polymorphism (TT, CT or CC) in elderly patients with mild cognitive impairment or depression, and to determine the association between TT genotype and both homocysteine and N-terminal pro-brain natriuretic peptide on one-hand and depressive and cognitive scores on other-hand . Material and Methods: This study included 60 elderly patients, subdivided into, patients with depression, patients with mild cognitive impairment, in addition to the control group. N-terminal pro-brain natriuretic peptide, homocysteine, folate and methylenetetrahydrofolate reductase gene polymorphism were determined. Results: Both N-terminal pro-brain natriuretic peptide and homocysteine were significantly increased in the patient groups as compared to the control, and were significantly positively correlated with depression scores, but significantly negatively correlated with cognitive impairment. TT genotypes had an increased risk of developing depression and had significant higher plasma level of both N-terminal pro-brain natriuretic peptide and homocysteine than CT or CC patients . Conclusion: The methylenetetrahydrofolate reductase gene may play a role in the modulation of mood but does not contribute to genetic susceptibility to cognitive performance in later life. It is also associated with N-terminal pro-brain natriuretic peptide and homocysteine levels, which may play a role in linking depression and mild cognitive impairment with increased cerebrovascular and/or cardio-vascular risk.
The Effects of Three Different Pastes on Enamel Caries Formation and Lesion Depth Progression-An In Vitro Study

Prevention of initiation and interruption in progression of early lesions are the desirable modes of caries management. Fluoride dentifrices and casein phosphopeptides are known to inhibit demineralization and enhance remineralization. The present study was conducted with the objective to investigate the effects of fluoridated dentifrice, nonfluoridated dentifrice and casein phosphopeptide amorphous calcium phosphate paste on enamel caries formation and lesion depth progression.228 tooth sections derived from extracted human permanent molars.were used The study was carried out in 3 phases where in each phase the enamel sections were treated for 14 days twice a day for 3 minutes with respective agents, followed by acid demineralization using 0.05 M acetic acid resulting in lesions. The depths of the lesions were measured using stereomicroscope. The mean lesion depths of three test groups were compared with each other as well as with control group at the end of each phase.Comparison of mean lesion depths of different groups was carried out using analysis of variance (ANOVA) and student’s unpaired-t-test. The fluoridated dentifrice group had significantly lesser mean lesion depth than control group in all the three phases (P<0.05). In second phase, non-fluoridated dentifrice and CPP-ACP paste groups had significantly lesser mean lesion depths than control groups (P<0.05). The study demonstrated that twice a day application of fluoridated dentifrice provides substantial protective effect against lesion formation and lesion depth progression. The study could not demonstrate any additional ability of CPP-ACP paste in reducing lesions depth progression and effect was similar to non-fluoridated dentifrice group.
Duration of nursing care in patients with hip fractures

The research regarding the duration of nursing care in patients with hip fractures was conducted at the Traumatology and Orthopedic Institute of the University Hospital Dubrava in a period of 4 months. The research was conducted on 59 patients with a diagnosis of a broken hip, that have undergone surgery. The goal of this research was to determine the differences in the duration of nursing care due to age, gender, comorbidities and postoperative day. Statistical significance in all measurements was reduced to p<0.05. The research shows connection between patient age and the duration of nursing care. The presence of comorbidity also prolongs the duration of nursing care. Shorter duration of nursing care was determined in women compared to men in all age groups, but it wasn’t of statistical significance.
Understanding the impact of environmental stress : the effect of childhood abuse on brain structure and stress response systems in psychosis

3 Table of contents . 5 Table of figures. 13 Table of tables. 18 Acknowledgements . 21 Abbreviations . 22 Overview of the thesis. 23 CHAPTER 1 Introduction and Rationale of the study. 26 1.1. What is left to know? Why investigate environmental risk factors in psychiatry.27 1.2. What is psychosis? 32 1.3. What is stress? What is trauma? 35 1.3. 1 Consequence of exposure to overwhelming stressful experiences in childhood . 35 1.4. Cortisol. 41 1.4. 1. The role of cortisol in the stress response. 41 1.4. 2. Abnormal cortisol concentration in individuals exposed to childhood maltreatment. 44 1.4. 3. Abnormal cortisol level in psychosis. 46 1.5. Brain structure. 49 1.5. 1. Brain abnormalities in individuals exposed to childhood maltreatment. 49 1.5. 2. Brain abnormalities in psychosis. 52 1.6 Rationale for the study. 55 1.6. 1 This thesis. 56 1.6. 2 Primary research questions. 57 1.6. 3 Hypotheses. 58 CHPTER 2 Methods. 60 Overview of the methods.61 2.1 Research design. 62 2.1.1 Recruitment procedure. 63 2.1.2 First episode psychosis patient sample recruitment. 64
Controlling the Balance of Exploration and Exploitation in ACO Algorithm

Ant colony optimization is a meta-heuristic algorithm inspired by the foraging behavior of real ant colony. The algorithm is a population-based solution employed in different optimization problems such as classification, image processing, clustering, and so on. This paper sheds the light on the side of improving the results of traveling salesman problem produced by the algorithm. The key success that produces the valuable results is due to the two important components of exploration and exploitation. Balancing both components is the foundation of controlling search within the ACO. This paper proposes to modify the main probabilistic method to overcome the drawbacks of the exploration problem and produces global optimal results in high dimensional space. Experiments on six variant of ant colony optimization indicate that the proposed work produces high-quality results in terms of shortest route.
Active & Reactive power Control of Large scale Grid Connected PV system by Cascaded Modular Multi-Level Inverters withFuzzy Logic Control Approach

Due to its advantages like clean energy production and more abundance availability solar energy is the most concentrated topic from last 20 years. Grid connected PV system gaining its importance due to high demand of power across the globe. Now a days different topologies of Multilevel Inverters are developing. By using this multilevel inverters we can interface the PV systems with Grid easily and effectively. But PV system facing so many problems like power flow control and output voltage disturbances because PV systems produce irregular output voltages. This paper demonstrates the Cascade Multilevel inverter with Active and Reactive power control using Fuzzy logic control approach of for Grid Connected PV System. With the help of this model we can improve the performance of the total PV system. In this paper we proposed a 3-MW, 12-kV PV system with the Fuzzy Logic control strategy is modelled and simulated in MATLAB.
Effect of Porpoise Oil on Kidney of Rats Receiving High Fat Diet

Background Obesity is the number one preventable risk factor for chronic kidney disease. Multiple observational studies have documented an association between obesity and risk of kidney disease even after adjustment for obesity-related co-morbid conditions, including diabetes mellitus. Because diet specially dietary fat has been recognized as contributing to the development and prevention of obesity, the influence of quantities and qualities of dietary fat on the pathogenesis of obesity related renal disorders has been studied. It has been known that tissues of porpoise contain unique structured-lipids as combination of iso-valeric acid (iso-C5:0) and ω-3 polyunsaturated fatty acids (ω-3 PUFA). It is well known that ω-3 PUFAs have lipidlowering effects in animal and human studies. Omega3-polyunsaturated fatty acids can prevent or alleviate obesity-related disorders through the suppression of fatty acid synthesis, enhancement of fatty acid β-oxidation. In the present study the effect of structural-lipids from porpoise adipose tissue (porpoise oil) on lipid metabolism was investigated. Design In this study 4 groups of male albino rats (n=10/group): group 1 received control diet 10.6% fat, group 2 received high fat diet (HFD) 53.15% fat, group 3 received HFD 53.15% fat with porpoise oil from start of induction of obesity and group 4 received HFD 53.15% fat and followed by addition of porpoise oil for 4 weeks after induction of obesity. All groups were subjected to the assay of serum levels of total lipid profile, urea, creatinine, fasting glucose and insulin as well as the levels of free fatty acid (FFA), malondialdehyde (MDA) and nitric oxide (NO). Also, renal tissue levels of triacylglycerol (TAG), FFA, and MDA and NO as well as aldose reductase (AR) activity were assayed, with estimation of urinary albumin level. Results: There was statistically significant improvement in all parameters of renal function, oxidative stress and dyslipidemia under the effect of porpoise oil intake. Conclusions: The current results might lead us to better utilization of porpoise oil due to its content of ω-3 PUFA to reduce lipid deposition in the kidney tissue with improving its functions, therefore presenting an opportunity for developing new strategies to treat obesity.