INVESTIGATIONS AND DIAGNOSIS OF GIANT PERIURETHRAL CONDYLOMA AND EFFICACY OF THE MANAGEMENT WITH CONVENTIONAL APPROACH: A CASE REPORT

Objective: This study aims to show our first case of female with periurethral condyloma and how we managed it. Case(s) Presentation: A 40-year-old female came with asymptomatic lesion in the genital area for 4 months, without any history of promiscuity. The physical examination showed a mass of 5 x 5 cm located in the periurethral area. The patient underwent mass excisions without any complication, further pathological examination confirmed the diagnosis of CA. Discussion: After operation and discharge there are no sign of recurrence after 6 months follow up. Conclusion: Despite the rare occurrence in periurethral region, clinicians should be aware of CA case in female and for our first case we used mass excision with satisfactory result.

Pieśń ku niebiosom. Echa chopinowskie w twórczości Artura Oppmana

This article presents a cycle of lyrical works entitled Z motywów Chopina (From Chopin’s themes) by Artur Oppman, published in 1893 in the volume Pieśni (Songs). The shape of this cycle had been modified over the years. In 1908, the poet changed its title and expanded it with new works. This change testifies to the evolution of the creative concept and the set of ideas about the function of the composer’s work. Contrary to the opinion rooted in the tradition of research about the conventional approach to the impact of Chopin’s work presented in Oppman’s lyrical poetry, the authors of the article demonstrate a far-reaching originality of the discussed work, focusing their attention both on issues related to understanding the narrowly-defined poetological knowledge and on the problem of translating musical means of expression into the language of a literary work.

Comparison of the Conventional Approach and Augmented Reality on the Purchase and Selection of Food Products

Packaging is seen as an integral part of the product and it has an important role in attracting consumers’ attention. The role of packaging is to create an expected reaction from the consumers, which affects their perception and choice of products in the buying process. The motivation for the research and writing of this paper was to find out which factors influence the purchase of chocolate the most. The research was done with the purpose of showing whether the same food products have a certain advantage in the process of choosing when presented to a potential consumer on two different media (analog and digital). The paper presents research on how the selected attributes and packaging elements, as well as the application of augmented reality (AR), affect the selection and purchase of one of the most popular food products. According to the obtained results, “Packaging appearance”, “Product Price”, “Brand preference” and “Product advertising” have the strongest influence on customers. The conclusion is that, in the process of choosing the chocolate packaging presented in this research, there is not much difference that depends on the medium those chocolates are presented on.

Estimating proportion of days covered (PDC) using real-world online medicine suppliers’ datasets

Background The proportion of days covered (PDC) is used to estimate medication adherence by looking at the proportion of days in which a person has access to the medication, over a given period of interest. This study aimed to adapt the PDC algorithm to allow for plausible assumptions about prescription refill behaviour when applied to data from online pharmacy suppliers. Methods Three PDC algorithms, the conventional approach (PDC1) and two alternative approaches (PDC2 and PDC3), were used to estimate adherence in a real-world dataset from an online pharmacy. Each algorithm has different denominators and increasing levels of complexity. PDC1, the conventional approach, is the total number of days between first dispensation and a defined end date. PDC2 counts the days until the end of supply date. PDC3 removes from the denominator specifically defined large gaps between refills, which could indicate legitimate reasons for treatment discontinuation. The distribution of the three PDCs across four different follow-up lengths was compared. Results The dataset included people taking ACE inhibitors (n = 65,905), statins (n = 100,362), and/or thyroid hormones (n = 30,637). The proportion of people taking ACE inhibitors with PDC ≥ 0.8 was 50–74% for PDC1, 81–91% for PDC2, and 86–100% for PDC3 with values depending on drug and length of follow-up. Similar ranges were identified in people taking statins and thyroid hormones. Conclusion These algorithms enable researchers and healthcare providers to assess pharmacy services and individual levels of adherence in real-world databases, particularly in settings where people may switch between different suppliers of medicines, meaning an individual supplier’s data may show temporary but legitimate gaps in access to medication. Accurately identifying problems with adherence provides the foundation for opportunities to improve experience, adherence and outcomes and to reduce medicines wastage. Research with people taking medications and prescribers is required to validate the algorithms’ assumptions.

Research Problems in Understanding Physics for NEET /JEE Students, Reasons and Remedies - A Systematic Approach

Today, in word of competition, especially for jr college student preparing 11 th std. and 12 th std for appearing NEET AND JEE, (OTHER EQUIVALENTS) Face a big challenge in understanding, Appling and ultimately scoring physics. majority of students face this problem. Physics is the subject known for enhancing analytical skills of learner but the education system is redirecting the subject to subject of memorization, therby a wrong approach ,suppressing the vary scientist in the student Majorities Teachers /educators has approach of getting formulas memorized, as a conventional approach which in turn harms the basic purpose of studing physics. This research paper study tries to indicate right way for student and educator through an exclusive survey of 3000+ student group who score high marks, low marks Keywords: NEET /JEE PHYSICS

Electron Probe Microanalysis of Transition Metals using L lines: The Effect of Self-absorption

Electron microprobe-based quantitative compositional measurement of first-row transition metals using their L $\alpha$ X-ray lines is hampered by, among other effects, self-absorption. This effect, which occurs when a broad X-ray line is located close to a broad absorption edge, is not accounted for by matrix corrections. To assess the error due to neglecting self-absorption, we calculate the L $\alpha$ X-ray intensity emitted from metallic Fe, Ni, Cu, and Zn targets, assuming a Lorentzian profile for the X-ray line and taking into account the energy dependence of the mass absorption coefficient near the absorption edge. We find that calculated X-ray intensities depart increasingly, for increasing electron beam energy, from those obtained assuming a narrow X-ray line and a single fixed absorption coefficient (conventional approach), with a maximum deviation of $\sim$ 15% for Ni and of $\sim$ 10% for Fe. In contrast, X-ray intensities calculated for metallic Zn and Cu do not differ significantly from those obtained using the conventional approach. The implications of these results for the analysis of transition-metal compounds by electron probe microanalysis as well as strategies to account for self-absorption effects are discussed.

An adaptive control framework based on Reinforcement learning to balance energy, comfort and hygiene in heat pump water heating systems

A major challenge in the operation of water heating systems lies in the highly stochastic nature of occupant behavior in hot water use, which varies over different buildings and can change over the time. However, the current operational strategies of water heating systems are detached from occupant behavior, and follow a conservative and energy intensive approach to ensure the availability of hot water any time it is demanded. This paper proposes a Reinforcement learning-based control framework which can learn and adapt to the occupant behavior of each specific building and make a balance between energy use, occupant comfort and water hygiene. The proposed framework is compared to the conventional approach using the real-world measurements of hot water use behavior in a single family residential building. Although the monitoring campaign has been executed during home lockdown due to COVID-19, when the occupants exhibited a very different schedule and water use related behavior, the proposed framework has learned the occupant behavior over a relatively short period of 8 weeks and provided 24.5% energy use reduction over the conventional approach, while preserving occupant comfort and water hygiene.

Possible Evidence for Berezinskii–Kosterlitz–Thouless Transition in Ba(Fe0.914Co0.086)2As2 Crystals

In this study, we measure the in-plane transport properties of high-quality Ba(Fe0.914Co0.086)2As2 single crystals. Signatures of vortex unbinding Berezinskii–Kosterlitz–Thouless (BKT) transition are shown from both the conventional approach and the Fisher–Fisher–Huse dynamic scaling analysis, in which a characteristic Nelson–Kosterlitz jump is demonstrated. We also observe a non-Hall transverse signal exactly at the superconducting transition, which is explained in terms of guided motion of unbound vortices.

Combined use of multimodal techniques for the resection of glioblastoma involving corpus callosum

Purpose To compare the multimodal techniques (including neuronavigation, intraoperative MRI [iMRI], and neuromonitoring [IONM]) and conventional approach (only guided by neuronavigation) in removing glioblastoma (GBM) with corpus callosum (CC) involvement (ccGBM), their effectiveness and safety were analyzed and compared. Methods Electronic medical records were retrospectively reviewed for ccGBM cases treated in our hospital between January 2016 and July 2020. Patient demographics, tumor characteristics, clinical outcomes, extent of resection (EOR), progression-free survival (PFS), and overall survival (OS) were obtained and compared between the multimodal group (used multimodal techniques) and the conventional group (only used neuronavigation). Both groups only included patients that had maximal safe resection (not biopsy). Postoperative radiochemotherapy was also performed or not. Univariate and multivariate analyses were performed to identify significant prognostic factors and optimal EOR threshold. Results Finally 56 cases of the multimodal group and 21 cases of the conventional group were included. The multimodal group achieved a higher median EOR (100% versus 96.1%, P = 0.036) and gross total resection rate (60.7% versus 33.3%, P = 0.032) and a lower rate of permanent motor deficits (5.4% versus 23.8%, P = 0.052) than the conventional approach. The multimodal group had the longer median PFS (10.9 versus 7.0 months, P = 0.023) and OS (16.1 versus 11.6 months, P = 0.044) than the conventional group. Postoperative language and cognitive function were similar between the two groups. In multivariate analysis, a higher EOR, radiotherapy, and longer cycles of temozolomide chemotherapy were positive prognostic factors for survival of ccGBM. An optimal EOR threshold of 92% was found to significantly benefit the PFS (HR = 0.51, P = 0.036) and OS (HR = 0.49, P = 0.025) of ccGBM. Conclusion Combined use of multimodal techniques can optimize the safe removal of ccGBM. Aggressive resection of EOR > 92% using multimodal techniques combined with postoperative radiochemotherapy should be suggested for ccGBM.