A Modified Distortion Measurement Algorithm for Shape Coding

Efficient encoding of object boundaries has become increasingly prominent in areas such as content-based storage and retrieval, studio and television post-production facilities, mobile communications and other real-time multimedia applications. The way distortion between the actual and approximated shapes is measured however, has a major impact upon the quality of the shape coding algorithms. In existing shape coding methods, the distortion measure do not generate an actual distortion value, so this paper proposes a new distortion measure, called a modified distortion measure for shape coding (DMSC) which incorporates an actual perceptual distance. The performance of the Operational Rate Distortion optimal algorithm [1] incorporating DMSC has been empirically evaluated upon a number of different natural and synthetic arbitrary shapes. Both qualitative and quantitative results confirm the superior results in comparison with the ORD lgorithm for all test shapes, without any increase in computational complexity

MatriVasha: A Multipurpose Comprehensive Database for Bangla Handwritten Compound Characters

At present, recognition of the Bangla handwriting compound character has been an essential issue for many years. In recent years there have been application-based researches in machine learning, and deep learning, which is gained interest, and most notably is handwriting recognition because it has a tremendous application such as Bangla OCR. MatrriVasha, the project which can recognize Bangla, handwritten several compound characters. Currently, compound character recognition is an important topic due to its variant application, and helps to create old forms, and information digitization with reliability. But unfortunately, there is a lack of a comprehensive dataset that can categorize all types of Bangla compound characters. MatrriVasha is an attempt to align compound character, and it's challenging because each person has a unique style of writing shapes. After all, MatrriVasha has proposed a dataset that intends to recognize Bangla 120(one hundred twenty) compound characters that consist of 2552(two thousand five hundred fifty-two) isolated handwritten characters written unique writers which were collected from within Bangladesh. This dataset faced problems in terms of the district, age, and gender-based written related research because the samples were collected that includes a verity of the district, age group, and the equal number of males, and females. As of now, our proposed dataset is so far the most extensive dataset for Bangla compound characters. It is intended to frame the acknowledgment technique for handwritten Bangla compound character. In the future, this dataset will be made publicly available to help to widen the research.Comment: 19 fig, 2 tabl

Recommending cut scores with a subset of items: An empirical illustration

Many testing programs face the practical challenge of having limited resources to conduct comprehensive standard setting studies. Some researchers have suggested that replicating a group’s recommended cut score on a full-length test may be possible by using a subset of the items. However, these studies were based on simulated data. This study describes a standard setting application using two independent panels providing judgments on a 300-item licensure test. Specifically, one panel provided judgments on all 300 items; whereas the second panel made judgments on a randomly-selected subset of 150 items. Both panels also participated in an alternate standard setting method to evaluate panel comparability. Results suggest caution for practitioners considering using subsets of items for standard setting studies. Accessed 7,224 times on https://pareonline.net from May 11, 2010 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right

Martian Magma Evolution from Olivine-Hosted Melt Inclusions in Shergottites Using MELTS Models

Shergottites, the largest martian meteorite group, come from at least two geochemically different source reservoirs i.e. incompatible trace element (ITE)-depleted and enriched. The depleted shergottites are thought to be derived from an ITE-depleted mantle reservoir, while enriched shergottites are thought to be derived from an ITE-enriched mantle reservoir that represents late stage residual melt from a magma ocean or interaction with martian crust. Moreover, the martian crust is distinct from shergottites, by being highly oxidized, distinctly ITE-enriched, and older. The link between the crust and shergottite compositions is poorly understood. Here we model shergottite differentiation to resolve the origin of enriched shergottites and why the bulk martian crust is compositionally distinct from shergottites. Early formed olivine-hosted melt inclusions can provide primary melt composition from which the parental magma had crystallized and also information at different stages of crystallization during parent magma differentiation that leads to shergottite magma evolution as well as crustal contribution assessment. We analyzed olivine-hosted melt inclusions of two enriched poikilitic shergottites for their major, minor and trace element concentrations using electron microprobe and laser ablation ICP-MS. We corrected the melt inclusion compositions for post-entrapment re-equilibration with their host olivine. To comprehend the crystallization sequence of these rocks and whether the melt entrapment is consistent with the crystallization, we use MELTS models for equilibrium and fractional crystallization. The results of these models suggest that all the melts were trapped in a closed system progressive crystallization at 1150-1210 C within 1 kbar to 1 bar pressure that is equivalent to <8.5 km, implying melt entrapment without any additional exogenous materials

Efficient Algorithm for Power Allocation in Relay-based Cognitive Radio Network

This paper addresses a cognitive radio (CR) network scenario where a relay is assigned to mitigate interference to primary users (PUs). We develop an average probability of successful secondary transmission (PSST) to introduce relay in the CR network. The power allocation is done using dual domain concept to maximize the system throughput as well as maintaining interference to an acceptable level and this approach is implemented in our paper that has a higher convergence rate. Furthermore, we propose an alternative approach that maintains a high throughput and at the same time reduces the computational complexity significantly. A detailed analysis is done before simulation. The simulated results validate the theoretical analysis

Association of serum pregnancy associated plasma protein: a with gestational diabetes mellitus

Background: Gestational diabetes mellitus is defined as diabetes diagnosed during pregnancy that is not clearly overt diabetes. GDM has many adverse consequences on the health of mother and fetus. Methods: This cohort study was carried out involving 77 women of 11 to14-week pregnant attending in the Gynecology &amp; Obstetrics and Fetomaternal Medicine OPD, BSMMU from September 2020 to August 2021. Results: Respondents were divided into two groups. Low PAPP-A group (&lt;0.5MoM) and normal PAPP-A group (&gt;0.5MoM). In low PAPP-A group, out of 16 respondents, 8 (42.1%) developed GDM and remaining 8(13.8%) were euglycemic. Whereas, in normal PAPP-A group, out of 61 respondents, majority 50 (86.2%) were euglycemic and only 11 (57.9%) women developed GDM. A total 19 (24.68%) respondents developed GDM from both low and normal PAPP-A group. ROC analysis of PAPP-A level for detection of GDM, a AUC value of 0.889 (95% CI 0.818-0.960) found which was statistically significant. A cut off value of ≤16.80 showed the highest Youden index (0.652) with 89.4% sensitivity and 81% specificity, the accuracy was 83.35. Moreover, a cut off value ≤16.80 showed PPV and NPV of 62.1% and 95.9%, respectively. PAPP-A level of GDM detected (10.32±5.56) µg/ml was significantly lower from non GDM mothers (25.08 ±9.85) µg/ml, where p&lt;0. 001. Conclusions: Study finding revealed that maternal serum PAPP-A level was lower in 11-14 weeks of pregnancy who subsequently developed GDM. So, a low PAPP-A level (&lt;0.5 MoM) in 11-14 weeks of pregnancy is associated for development of GDM

INTERLEUKIN-18 GENE POLYMORPHISM AND SOME RISK FACTORS IN IRAQI PATIENTS WITH BREAST CANCER

Objective: Breast cancer is the most diagnosed cancer in women, which leads to death in a lot of women with breast cancer. The major risk factors associated with breast cancer risk related to family history, age, clinical history, lifestyle factors, long-period hormonal exposure, and single nucleotide polymorphisms in many genes showed possible links with breast cancer incidence risk in different people populations. Our study aimed to figure out the correlation between smoking, lodging and family history, and other factors with the risk of breast cancer.Methods: Blood sample from female patients with breast cancer and healthy individuals were collected and subjected to tetra-amplification refractory mutation system–polymerase chain reaction (T-ARMS-PCR) technique for −607 C/A mutation of an interleukin (IL-18) gene and SPSS 18 software analyzed the results statically.Results: Results showed no association between lodging and smoking with risk of breast cancer, (p&gt;0.05), while the association between the risk and family history were obvious (p&lt;0.05).Conclusion: The results obtained by T-ARMS-PCR technique did not show the association between −607 C/An alternation of IL-18 gene and breast cancer (p&gt;0.05) in the individuals examined in our study.Keywords: Interleukin-18, Gene, Polymorphism, Tetra-amplification refractory mutation system–polymerase chain reaction, Mutations

Career Counseling at the Universities: The Bangladesh Scenario

In the backdrop of growing diversity of educational programs and jobs this paper looks into the needs and realities of career counseling at the university level with particular reference to the public and private universities of Bangladesh. A sample of 72 universities was taken by random selection for the study. Qualitative data for six aspects of career counseling viz., existence of career counseling center, presence of professional career counselor, arrangement of career fair or job fair, internship placement services, job placement services, and existence of alumni association were then collected from the websites of these universities and/or over phone as was necessary. Collected data were analyzed using the statistical tools of tabulation, proportions, and chart. It was found that half of the universities of Bangladesh – both public and private – virtually do not have career counseling programs. The universities of Bangladesh need to recognize the importance of career counseling and employ attention and efforts in pertinent activities for their own interest