Male Genitoplasty for Intersex Disorders

Aim. To evaluate surgical procedures adopted for male genitoplasty in intersex disorders. Patients and Methods. Case records of intersex patients undergoing male genitoplasty from Pediatric Intersex clinic were studied. Results. Of 356 intersex cases undergoing urethroplasty from 1989–2007, the hypospadias was penoscrotal (68%), scrotal (17%) and perineal (15%). 351 patients underwent chordee correction for mild: moderate: severe chordee in 24 : 136 : 191 cases. Byars flaps were fixed upto the corona in 267 cases. Urethroplasty performed was Theirsch duplay in 335 cases, Snodgrass in 16 cases and Ducketts onlay graft in 5 cases that did not require chordee correction. Age at urethroplasty was 2.5 years—22 years (mean 11.5 years, median—5.6 years). Penoscrotal transposition correction and testicular prosthesis insertion were performed independently. Complications included fistula (45), recurrent fistula (11), stricture (12), baggy urethra (8) and recurrent infection due to persistent vaginal pouch (5). Additional distal urethroplasty was required in 15 patients for previous urethroplasty done upto the corona 5–15 years earlier. Conclusion. Hypospadias in intersex disorders is associated with severe chordee in most cases and requires an early chordee correction to allow phallic growth, staged urethroplasty and multiple surgeries to achieve good cosmetic and functional results

Determination of Second Virial Coefficient of Proteins Using a Dual-Detector Cell for Simultaneous Measurement of Scattered Light Intensity and Concentration in SEC-HPLC

AbstractA method is proposed for the measurement of the B22 value of proteins in aqueous solutions in flow-mode that utilizes a novel fabricated dual-detector cell, which simultaneously measures protein concentration and the corresponding scattered light intensity at 90°, after the protein elutes from a size-exclusion column. Each data point on the chromatograms obtained from the light scattering detector and the concentration (ultraviolet) detector is converted to Rayleigh’s ratio, Rθ, and concentration, c, respectively. The B22 value is calculated from the slope of the Debye plot (Kc/Rθ versus c) generated from a range of concentrations obtained from these chromatograms for a single protein injection. It is shown that this method provides reliable determination of the B22 values for such proteins as lysozyme, chymotrypsinogen, and chymotrypsin in various solution conditions that agree well with those reported in literature

Down Drag on an Instrumental Bored Pile in Soft Clay

The paper reports result of a comprehensive full scale field study expressly undertaken to monitor negative drag on a large diameter, bored cast-in-place reinforced concrete pile installed to rock in a deep deposit of soft marine clay of pleistaceae to recent origin. The pile was instrumented with load cells and the ground around the pile with piezometers and settlement gauges. The negative drag was generated by loading the ground around the pile in stages. The ground settlements were accelerated by providing vertical sand drains. The observational data were utilized in figuring out the influence of surcharge on the depth of clay responsible for generating the negative drag. The study has provided computational methodology for estimation of negative drag in terms of total and effective stresses. The inevitability of large ground settlement with respect to the pile brought out the non-importance of precisely ascertaining the magnitude of relative displacement necessary for mobilization of negative drag

Hexacyanoferrate(III) as a Primary Standard for the Determination of Sb(III) in Bicarbonate Medium

216-21

Design and Analysis of Double layer Microstrip patch antenna

Volume 2 Issue 1 (January 2014

pyTANSPEC: A Data Reduction Package for TANSPEC

The TIFR-ARIES Near Infrared Spectrometer (TANSPEC) instrument provides simultaneous wavelength coverage from 0.55 to 2.5 micron, mounted on India's largest ground-based telescope, 3.6-m Devasthal Optical Telescope at Nainital, India. The TANSPEC offers three modes of observations, imaging with various filters, spectroscopy in the low-resolution prism mode with derived R~ 100-400 and the high-resolution cross-dispersed mode (XD-mode) with derived median R~ 2750 for a slit of width 0.5 arcsec. In the XD-mode, ten cross-dispersed orders are packed in the 2048 x 2048 pixels detector to cover the full wavelength regime. As the XD-mode is most utilized as well as for consistent data reduction for all orders and to reduce data reduction time, a dedicated pipeline is at the need. In this paper, we present the code for the TANSPEC XD-mode data reduction, its workflow, input/output files, and a showcase of its implementation on a particular dataset. This publicly available pipeline pyTANSPEC is fully developed in Python and includes nominal human intervention only for the quality assurance of the reduced data. Two customized configuration files are used to guide the data reduction. The pipeline creates a log file for all the fits files in a given data directory from its header, identifies correct frames (science, continuum and calibration lamps) based on the user input, and offers an option to the user for eyeballing and accepting/removing of the frames, does the cleaning of raw science frames and yields final wavelength calibrated spectra of all orders simultaneously.Comment: 10 pages, 6 figures, accepted for publication in the Special Issue of Journal of Astrophysics & Astronomy, 2022, Star formation studies in context of NIR instruments on 3.6m DOT, held at ARIES, Nainital during 4-7, May, 202

Quiescence of an Outburst of a Low-Mass Young Stellar Object: LDN1415-IRS

LDN1415-IRS, a low-mass young stellar object (YSO) went into an outburst between 2001 and 2006, illuminating a surrounding nebula, LDN1415-Neb. LDN1415-Neb was found to have brightened by I=3.77 mag by April 2006. The optical light curve covering $\sim$ 15.5 years, starting from October 2006 to January 2022, is presented in this study. The initial optical spectrum indicated the presence of winds in the system but the subsequent spectra have no wind indicators. The declining light curve and the absence of the P-Cygni profile in later epoch spectra indicate that the star and nebula system is retrieving back from its outburst state. Two Herbig-Haro objects (HHOs) are positioned linearly with respect to the optical brightness peak of the nebula, probably indicating the circumstellar disk being viewed edge-on. Our recent deep near-infrared (NIR) imaging using TANSPEC has revealed the presence of a nearby star-like source, south of the LDN1415-IRS, at an angular distance of $\sim$ 5.4 arcsec.Comment: Accepted for publication in the Journal of Astrophysics and Astronom

Role Of Social & Psychological Factors In Drug Default In Patients Of Pulmonary Tuberculosis

Research Problem: What is the influence of social and psychological factors on drug default in patients of pul­monary tuberculosis? Objective: To assess the role of social and psychological factors in drug default in patients of pulmonary tubercu­losis. Study Design: Hospital - based study by questionnaire method Setting and Participants: Patients of pulmonary tubercu­losis attending Out Patient Department of Tuberculosis and Respiratory Diseases, J.N. Medical College Hospital, A.M.U., Aligarh. Sample Size: 136 defaulters and 86 treated cases of pulmonary tuberculosis. Study Variables: Social factors, psychological factors, drug default and pulmonary tuberculosis. Outcome Variables: Association of social and psycho­logical factors with drug default in pulmonary tuberculo­sis patients. Statistical Analysis: By chi - square test and significance at 5% level. Result: Important social factors influencing drug default were joint family (74.27%), lack of money (22.06%) and uncooperative family (11.7%). Psychiatric morbidity among defaulters was significantly high (68.39%). Conclusion: Patient compliance depends on many psy­chological (e.g. psychiatric morbidity, type of personal­ity), and sociological,factors (including economic status of patient, nature of family, its environment, interaction between patient and doctor and patient's own attitude and idea about his disease). Age, sex, residence, religion and education did not show any significant contribution towards drug default

Online Learning Management System and Analytics using Deep Learning

During this pandemic we have seen rise in popularity of online learning platforms. In this paper, we are going to discuss E-Learning using analytics and deep learning focusing on mainly four objectives which are login systems for teachers and students, Gamification to engage learners, AR contents to increase the involvement of learners and learning analytics to develop competency. We will use Data Mining and Buisness Intelligence to extract high level knowledge from the raw data of students. To predict engagement of students we have used several ML algorithms. This study provides an introduction to the technology of AR and E-Learning systems. The main focus of this paper is to use research on augmented reality and integrate it with Buisness Intelligence and Data Mining(DM). Engaging student till the end of the course became really difficult for traditional E-Learning Platform. Therefore, Gamification in E-learning is good way to solve this problem