Effect of Layered Curriculum in Problem Solving Skills of Students in Science and Technology Course

This study mainly aims to determine the effect of layered curriculum on problem solving skills of students  in science and technology course. The study group of the research is the 6th grade students of an elementary school in the center of Malatya. The mixed method, which includes quantitative and qualitative research patterns, was used.  In the quantitative dimension of the study; in order to find the answers for the1st, 2nd and 3th sub problems, the study group consists of 60 students, 30 in the experimental group and 30 in the control group. In the quantitative dimension, “The Problem Solving Skills Test” which is developed by the researcher has been used.  In the study, the qualitative data have been collected during the application by quoting from the students’ diaries and researchers’ diaries and after the application by using semi structured interview forms and examining documents. To analyze the quantitative data t-test was used and to analyze the qualitative data, descriptive analysis and content analysis were used. The study, while significant differentiation has not been observed between point average of control group students in pre-test problem solving skills and post-test point average; there has been a significant differentiation in favor of the post-test between point average of experimental students pre-test and post-test problem solving skills. Experimental group students encountered problems particularly in B and A layers during the period they performed Layered Curriculum activities. Also, there has been a significant differentiation in favor of the experimental group between experimental group students who were subjected to the Layered Curriculum activities and control group students who continued the existing curriculum. It was concluded that, experimental group students took responsibility in Layered Curriculum activities both individually and within a group, and used their problem solving skills when they face a problem. &nbsp

Can we trust undervolting in FPGA-based deep learning designs at harsh conditions?

As more Neural Networks on Field Programmable Gate Arrays (FPGAs) are used in a wider context, the importance of power efficiency increases. However, the focus on power should never compromise application accuracy. One technique to increase power efficiency is reducing the FPGAs' supply voltage ("undervolting"), which can cause accuracy problems. Therefore, careful design-time considerations are required for correct configuration without hindering the target accuracy. This fact becomes especially important for autonomous systems, edge-computing, or data-centers. This study reveals the impact of undervolting in harsh environmental conditions on the accuracy and power efficiency of the convolutional neural network benchmarks. We perform the comprehensive testing in a calibrated infrastructure at controlled temperatures (between -40C and 50C) and four distinct humidity levels (40%, 50%, 70%, 80%) for off-the-shelf FPGAs. We show the voltage guard-band shift with temperature is linear and propose new reliable undervolting designs providing a 65% increase in power efficiency (GOPS/W).Peer ReviewedPostprint (author's final draft

An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration

We empirically evaluate an undervolting technique, i.e., underscaling the circuit supply voltage below the nominal level, to improve the power-efficiency of Convolutional Neural Network (CNN) accelerators mapped to Field Programmable Gate Arrays (FPGAs). Undervolting below a safe voltage level can lead to timing faults due to excessive circuit latency increase. We evaluate the reliability-power trade-off for such accelerators. Specifically, we experimentally study the reduced-voltage operation of multiple components of real FPGAs, characterize the corresponding reliability behavior of CNN accelerators, propose techniques to minimize the drawbacks of reduced-voltage operation, and combine undervolting with architectural CNN optimization techniques, i.e., quantization and pruning. We investigate the effect of environmental temperature on the reliability-power trade-off of such accelerators. We perform experiments on three identical samples of modern Xilinx ZCU102 FPGA platforms with five state-of-the-art image classification CNN benchmarks. This approach allows us to study the effects of our undervolting technique for both software and hardware variability. We achieve more than 3X power-efficiency (GOPs/W) gain via undervolting. 2.6X of this gain is the result of eliminating the voltage guardband region, i.e., the safe voltage region below the nominal level that is set by FPGA vendor to ensure correct functionality in worst-case environmental and circuit conditions. 43% of the power-efficiency gain is due to further undervolting below the guardband, which comes at the cost of accuracy loss in the CNN accelerator. We evaluate an effective frequency underscaling technique that prevents this accuracy loss, and find that it reduces the power-efficiency gain from 43% to 25%.Comment: To appear at the DSN 2020 conferenc

Amyloid Goiter Associated with Amyloidosis Secondary to Rheumatoid Arthritis

Amyloidosis refers to a variety of conditions in which amyloid proteins are abnormally deposited in organs and/or tissues. The most common forms of systemic amyloidosis are primary amyloidosis (PA) of light chains and secondary amyloidosis (SA) caused by chronic inflammatory diseases such as rheumatoid arthritis (RA). Although involvement of the thyroid gland by amyloid is a relatively common phenomenon, clinically significant enlargement of the thyroid owing to amyloid deposition is a rare occurrence. In SA, the deposition of amyloid associated (AA) protein is associated with atrophy of thyroid follicles. The clinical picture of these patients is characterized by rapid, painless thyroid gland enlargement which may be associated with dysphagia, dyspnea, or hoarseness. Thyroid function is not impaired in most cases. Although amyloid goitre secondary to systemic amyloidosis due to chronic inflammatory diseases is relatively common, specifically related to RA is much more uncommon one and it is reported less in the literature. In this report, A 52-old-year female patient with amyloid goiter associated with amyloidosis secondary to rheumatoid arthritis is presented

An experimental study of reduced-voltage operation in modern FPGAs for neural network acceleration

We empirically evaluate an undervolting technique, i.e., underscaling the circuit supply voltage below the nominal level, to improve the power-efficiency of Convolutional Neural Network (CNN) accelerators mapped to Field Programmable Gate Arrays (FPGAs). Undervolting below a safe voltage level can lead to timing faults due to excessive circuit latency increase. We evaluate the reliability-power trade-off for such accelerators. Specifically, we experimentally study the reduced-voltage operation of multiple components of real FPGAs, characterize the corresponding reliability behavior of CNN accelerators, propose techniques to minimize the drawbacks of reduced-voltage operation, and combine undervolting with architectural CNN optimization techniques, i.e., quantization and pruning. We investigate the effect ofenvironmental temperature on the reliability-power trade-off of such accelerators. We perform experiments on three identical samples of modern Xilinx ZCU102 FPGA platforms with five state-of-the-art image classification CNN benchmarks. This approach allows us to study the effects of our undervolting technique for both software and hardware variability. We achieve more than 3X power-efficiency (GOPs/W ) gain via undervolting. 2.6X of this gain is the result of eliminating the voltage guardband region, i.e., the safe voltage region below the nominal level that is set by FPGA vendor to ensure correct functionality in worst-case environmental and circuit conditions. 43% of the power-efficiency gain is due to further undervolting below the guardband, which comes at the cost of accuracy loss in the CNN accelerator. We evaluate an effective frequency underscaling technique that prevents this accuracy loss, and find that it reduces the power-efficiency gain from 43% to 25%.The work done for this paper was partially supported by a HiPEAC Collaboration Grant funded by the H2020 HiPEAC Project under grant agreement No. 779656. The research leading to these results has received funding from the European Union’s Horizon 2020 Programme under the LEGaTO Project (www.legato-project.eu), grant agreement No. 780681.Peer ReviewedPostprint (author's final draft

Regular aerobic exercise increased VEGF levels in both soleus and gastrocnemius muscles correlated with hippocampal learning and VEGF levels

Physical exercise improves learning and memory abilities by increasing the levels of several growth factors in the hippocampus. One growth factor, vascular endothelial growth factor (VEGF), is primarily produced in the muscles and not only increases in the periphery during exercise but can also cross the blood-brain barrier. The aim of this study is to investigate the effects of regular aerobic chronic exercise on different types of muscle fibers and the relationships between learning/memory and muscle induced-VEGF. Following a one-week adaptation period, male rats underwent treadmill training at a speed of 8 m/min for 30 min daily, 3 days a week for 6 weeks. Memory functions were evaluated using the Morris water maze. VEGF, superoxide dismutase (SOD), glutathione peroxidase (GPx), and malondialdehyde (MDA) levels were measured in type 1 and type 2 muscle fibers and VEGF levels were also measured in the hippocampus. Exercise positively affected both learning and memory and also increased VEGF levels in both muscle fiber types. Muscle VEGF levels positively correlate with hippocampal learning and hippocampal VEGF levels. Exercise reduced both SOD and MDA levels in type 1 and type 2 muscle fibers, whereas GPx levels decreased only in type 2 muscle fibers. Our findings suggest that regular aerobic exercise elevates VEGF levels and diminishes oxidative stress in both fiber types. Exercise-induced VEGF levels in both type 1 and 2 muscle fibers appear to be associated with the positive effect of exercise on learning and memory function and is accompanied by an increase in VEGF levels in the hippocampus. Further research is needed to elucidate the exact mechanism by which fiber type-specific VEGF mediates hippocampal neurogenesis and angiogenesis

Design basis and hydrodynamic performance analysis of single-screw extruders. I - polymer flow behaviour

WOS: 000268149200002Purpose - The purpose of this paper is to investigate the hydrodynamic performance of a single-screw extruder with special reference to metering region. Design/methodology/approach - The hydrodynamic analysis of a single screw extruder is carried out by dimensional and non-dimensional parameters defining the polymer flow behaviour. The flow types formed in the extruder channel are defined and the relationship between the flow with the extruder geometry is examined. Findings - The theoretical model developed is capable of estimating the hydrodynamic behaviour of extruder metering region. With the model developed, extruder geometry and polymer flow rate under different operating conditions can be predicted. Originality/value - This paper offers a quick and easy opportunity to examine the hydrodynamic behaviour of extruder metering region. With the theoretical model developed, the behaviour of the flow in extruder can be modelled and estimated

The impact of hyperbaric oxygen therapy on erectile functions and serum testosterone levels in patients with erectile dysfunction

Objective: To evaluate the effects of hyperbaric oxygen therapy (HBOT) on erectile functions and serum testosterone levels in patients with erectile dysfunction (ED). Methods: The patients treated by HBOT for several diseases between July 2017-May 2018 and had erectile dysfunction were included in the study. All patients filled the International Index of Erectile Function (IIEF) questionnaire form; serum total testosterone (TT) and free testosterone (FT) levels were examined before the first day and after the last day of HBOT. The effects of demographic characteristics of patients on erectile functions were evaluated. Patients were categorized according to the risk factors. The IIEF scores, TT and FT levels of patients in first day and after last day of HBOT were compared. Results: Totally 43 patients were included in the study. The mean post-HBOT IIEF-EF score was significantly higher than the mean pre-HBOT IIEF-EF score of patients (25.4 +/- 5.3 vs 20.6 +/- 5.1; p < .001). There was no statistical difference between the pre-HBOT and post-HBOT serum TT and FT levels of patients (4.0 +/- 2.3 ng/ml vs 4.1 +/- 2.0 ng/ml, p = .797; 8.6 +/- 3.8 pg/ml vs 8.9 +/- 3.5 pg/ml, p = .658). Conclusions: HBOT improved the erectile functions in ED patients however we cannot detect any effect on testosterone levels in our study

KARYOTYPE ANALYSIS OF MINUARTIA MESOGITANA SUBSP MESOGITANA AND MINUARTIA ELMALIA (CARYOPHYLLACEAE, ALSINOIDEAE)

Mitotic metaphase chromosomes, karyotypic characters, monoploid karyograms and ideograms of Minuartia mesogitana subsp. mesogitana and Minuartia elmalia were investigated. Analysis of somatic metaphases showed that the chromosome numbers and the karyotype formula of these taxa were 2n = 2x = 24 = 8m + 8sm + 8st for Minuartia mesogitana subsp. mesogitana and 2n = 2x = 32 = 12m + 16sm + 4st for Minuartia elmalia. No satellites were observed in the karyotypes of the taxa. The intrachromosomal and interchromosomal karyotype asymmetries were estimated with Mean Centromeric Asymmetry (M-CA) and Coefficient of Variation of Chromosome Length (CVCL)