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Multibiometrics can provide higher identification accuracy than single biometrics, so it is more suitable for some real-world personal identification applications that need high-standard security. Among various biometrics technologies, palmprint identification has received much attention because of its good performance. Combining the left and right palmprint images to perform multibiometrics is easy to implement and can obtain better results. However, previous studies did not explore this issue in depth. In this paper, we proposed a novel framework to perform multibiometrics by comprehensively combining the left and right palmprint images. This framework integrated three kinds of scores generated from the left and right palmprint images to perform matching score-level fusion. The first two kinds of scores were, respectively, generated from the left and right palmprint images and can be obtained by any palmprint identification method, whereas the third kind of score was obtained using a specialized algorithm proposed in this paper. As the proposed algorithm carefully takes the nature of the left and right palmprint images into account, it can properly exploit the similarity of the left and right palmprints of the same subject. Moreover, the proposed weighted fusion scheme allowed perfect identification performance to be obtained in comparison with previous palmprint identification methods.

A winning personality is the physical attribute of a person and is considered as his or her success in personal, academic, and professional careers. However, in the ESL context, most engineering students seem to be unaware of the need for and importance of an appealing personality for achieving success in both personal and professional careers. Although students are given a short-term training in soft-skills by their respective college or institute, engineering students seem to lack aspects of a pleasing personality which helps them in job placements and later in the work environment. Therefore, the main aim of this study is to understand and build engineering students’ personality traits such as enthusiasm, dependability, and teamwork for a successful career. For this purpose, to understand the students’ personality types, 25 engineering students were administered a pre-test based on Carl Jung and Isabel Briggs Myers’ typological approach to personality. Students were helped in building personality through the soft-skills training. The data was analyzed and interpreted both qualitatively and quantitatively. The results indicated that having a pleasing personality and exhibiting soft-skills enables in building students’ individual personality for employment readiness. Implications were offered to students, placement trainers, and teachers. It is concluded that having a charming personality will support students in landing their desired jobs.

The present study aims to propose an integrated watershed development plan for the Wainganga basin situated in Maharashtra, India. Also, the study involves evaluating the performance and applicability of SWAT (Soil and Water Assessment Tool) as a runoff model along with the trend analysis of rainfall for the above mentioned study area. The decadal land-use/land-cover (LULC) variation from 1985 to 2005 has been studied using data procured from Goddard Earth Sciences Data and Information Services Center (GES-DISC) and the groundwater table level of the study area was monitored using dug/bore well data collected from the Central Ground Water Board (CGWB). Rainfall trend analysis for a period of 101 years using historic rainfall data procured from the India Meteorological Department (IMD) has been analyzed to foresee the future scenario. It was observed that the rainfall-runoff relationship of the area is getting affected by the LULC variation and is thereby affecting the groundwater regime. There is a significant deterioration in the forest cover and water bodies which is alarming. The study devises the importance of an immediate master plan to be implemented in the basin to avoid any future crisis. Also, the study emphasizes the advancement of remote sensing in the use of hydrologic models like SWAT more realistically.

To study the prevalence of intraocular tumours detected by screening ultrasonography in eyes with opaque media.Retrospective review of B-scan ultrasonography in eyes with opaque media and diagnosis of blindness or phthisis between January 1, 1994, and December 31, 2013. Ultrasounds for diagnostic purposes in acute endophthalmitis, retinal detachment, or vitreous hemorrhage were excluded.There were 119 blind eyes with opaque media examined with B-scan ultrasonography. Mean patient age was 59 years, with visual acuity of hand motions or worse in 89 eyes (74.8%), elevated intraocular pressure in 23 eyes (19.3%), and pain in 30 eyes (25.4%). Follow-up was ≥1 year in 69 eyes (58%) with a mean 64 months (median, 56 months; range, 12-129 months). Of these 69 eyes, ultrasound frequency was more often than annual in 2 eyes (2.9%), annual in 2 eyes (2.9%), every 13-60 months in 43 eyes (62%), every 61-120 months in 19 eyes (27.5%), and less often than every 120 months in 3 eyes (4.3%). Sixteen eyes with opaque media only received ultrasound at presentation, and 6 eyes had screening ultrasonography only prior to evisceration or enucleation. No intraocular tumours were detected in any eye during the study period.In this series, no intraocular tumours were detected by screening ultrasonography in eyes with opaque media. Larger studies with long-term follow-up are required to determine the utility and cost-effectiveness of serial ultrasonography monitoring. Ultrasound may have its highest utility in the setting of initial evaluation, clinical change, and preoperative work-up to avoid evisceration in the setting of occult malignancy.

Rubber is one of the essential roles of horticultural crops in India. It has a commercial value and it assumes impotent from the point of view in employers working condition. The specific objectives of the study are as follows (i) To study the living and working condition of the rubber plantation in Kanniyakumari district. (ii) To analyze their level of income and expenditure. (iii) To give suggestion for improving the status and working condition of rubber plantation. The required information for the present study has been collected both from Primary and Secondary data. The information has been collected from the respondents through the separate interview schedule for the rubber plantation labour. The Secondary data required for the study were collected from the various books, Rubber the various articles published in Newspapers, and Magazine. The Samples were selected by Convenience Sampling Technique. The Total number were samples were collected 90 Respondents. The study was conducted among the select rubber plantation labours in Kanniyakumari district. The interview schedule has been used for collection of primary data from the rubber plantation labours employed in the factory. The analysis was done by the use of Excel and SPSS. The various statistically tools applied to analysis the primary data were presented analysis ANOVA analysis to arrive at required from the study. For effective analysis and easy understanding, the data were tabulated.

The pandemic coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) is a global health problem. COVID-19 has given rise to a number of secondary bacterial or fungal infections. During the second wave of COVID-19, India experienced an epidemic of mucormycosis in COVID-19 patients. In this paper, we discuss the clinical features, investigations and management of four patients having COVID-19-associated mucormycosis (CAM), especially rhino-orbital mucormycosis (ROM) caused by Rhizopus arrhizus and Mucor species. We also compare the cases and their risk factors with previously reported CAM cases in India. Three patients had mucormycosis after recovering from COVID-19. They were successfully treated with surgical debridement and early initiation of anti-fungal therapy with systemic amphotericin B and other supportive measures such as broad-spectrum antibiotics, insulin infusion, antihypertensives and analgesics. The remaining patient had mucormycosis during COVID-19. He was admitted in the intensive care unit due to COVID-pneumonia and was on mechanical ventilation. In spite of all supportive measures, the patient succumbed to death due to cardiogenic shock. Three out of our four patients had diabetes mellitus. All patients were treated with systemic steroid during COVID-19 treatment. Diabetes mellitus and steroid treatment are the major risk factors for CAM. Early diagnosis of this life-threatening infection along with strict control of hyperglycemia is necessary for optimal treatment and better outcomes.

The present study aims to determine the temporal variations of rainfall trend in the Vidarbha region, India as a prerequisite for the flood–drought optimization of the area. Historic rainfall data from India Meteorological Department (IMD) and Indian Institute of Tropical Meteorology (IITM), Pune, were taken for a time period of 1951–2005 and is correlated. Data from IITM is a variable resolution Global Model, based on the Laboratorie Dynamique Meteorologie, France (LMDz). The correlation of LMDz model data with the IMD data was calculated using four statistical variables: Correlation Coefficient (CC), Normalized Root Mean Square Deviation (NRMSD), Nash–Sutcliffe Efficiency (NSE), and Skill Score (SS). Both data were further used for calculating the rainfall trend using non-parametric Mann–Kendall test and Sen’s Slope estimator and results were compared. There observed a good correlation between the data series from IMD and IITM. Hence projected rainfall data from IITM, for a period of 2020–2095 has been used to get a line about the future rainfall pattern of the area. The future rainfall trend scenario of Vidarbha is not favorable; hence proper water resources strategy should be defined to avoid desertification of the area.

The study investigates the land cover degradation over 30 years of period from 1985 to 2015 and its impact on the groundwater regime for the Western Vidarbha region of Central India. Land use/land cover (LULC) data for four different time spans via 1985, 1995, 2005, and 2015 were obtained from Goddard Earth Sciences Data and Information Services Center (GES DISC). Along with that, a time-series analysis was carried out using two data sets: historic gridded rainfall data (1964–2013) from India Meteorological Department (IMD), Pune, and future predicted data (2024–2095) from the Indian Institute of Tropical Meteorology (IITM), Pune. The increase in land use to cropland and a decrease in rainfall trend apparently mark the probability of groundwater exploitation of the region. Groundwater mapping of the study area has been evaluated using well data collected from the Central Ground Water Board (1996 and 2017). The non-parametric Mann-Kendall test is used for time series analysis and ArcGis 10.2 software was used for the generation of groundwater potential maps. The relation between changes in the land cover pattern, rainfall, and groundwater is identified and it is observed that there is a direct linkage between anthropogenic land degradation, erratic rainfall pattern, and depleted groundwater resources. A sustainable water supply plan, prioritizing the factors like rainfall pattern, nature of catchment, and land use/land cover characteristics should be defined to the region for overcoming future shortage and vulnerability.

This study determines the suitable general circulation models (GCMs) for the prediction of future precipitation of Upper Godavari sub-basin, India. Five performance indicators (PIs) namely correlation coefficient (CC), normalized root mean square deviation (NRMSD), absolute normalized mean biased deviation (ANMBD), skill score (SS), Nash Sutcliffe efficiency (NSE), and three different combinations (Case 1: all performance indicators, Case 2: CC, SS and ANMBD, and Case 3: CC, SS, and NRMSD) were considered to evaluate the performance of 38 GCM models for the study area. The observed precipitation data for 12 grid points covering the Upper Godavari sub-basin along with eight districts of Maharashtra were used for the selection of the suitable GCMs. The weights of the indicators were determined by the entropy method. Compromise programming (CP) and the technique for order preference to the similarity to ideal solution (TOPSIS) methods were used for ranking the GCMs. The group decision-making approach was employed to make a collective decision about the rank of 38 GCMS considering all the grid points. In view of all the three combinations of PIs, the study suggests that the effect of the performance indicator NSE on the ranking of GCM models is the most significant (weights for the grid points varying in the range 22.75%–78%) followed by ANMBD, CC, NRMSD, and SS. Including the maximum number of PIs and considering their combinations is found to be much helpful to enhance the credibility of the ranking of GCMs. From the group decision-making approach, it was observed that the ensemble of MPI-ESM-P, CNRM-CM5-2, and CNRM-CM5 is suitable for the prediction of precipitation for the study area.

PURPOSE The purpose of this case report was to demonstrate evidence of indocyanine green angiography leakage consistent with choroiditis in a patient with scleroderma. METHODS In this case report, the patient underwent a variety of tests and examinations, including systemic evaluation, full ocular examination, skin biopsy, indocyanine green, and fluorescein angiography testing. A 52-year-old man had blurred vision centrally in both eyes. Vision was 20/25 and 20/20. Posterior examination showed cotton-wool spots in both eyes. The patient met European League against Rheumatism (EULAR) criteria for scleroderma. RESULTS Fluorescein angiography confirmed the presence of leakage from the retinal vessels. More importantly, indocyanine green angiography revealed choroidal vessel leakage in both eyes. This provided evidence of choroiditis before vessel obliteration. Previous studies have shown evidence of choriocapillaris obliteration. Choroidal vessel leakage, however, has not been reported in patients with scleroderma. CONCLUSION The results of this case demonstrate the usefulness of indocyanine green angiography in detecting the presence of choroiditis in scleroderma.

Elderly individuals with constant assault are winding up increasingly various in our nation. In Mexico, an interminable assault that is among the best ten reasons for mortality. Individuals who endure Chronic Kidney Disease CKD must be on a consistent audit to keep up illness control and observing. In hemodialysis, a manufactured kidney hemodialyzer is utilized to expel waste and additional chemicals and fluid from your blood. To get your blood into the fake kidney, the specialist needs to influence an entrance to entrance into your veins. This is finished by a minor task to your arm or leg. Some of the time, an entrance is made by joining a conduit to a vein under your skin to make a greater vein called a fistula. In any case, if your veins are not worthy of a fistula, the specialist may utilize a delicate plastic tube to join a supply route and a vein under your skin. This is known as a unite. Sometimes, an entrance is made by methods for a thin plastic tube, called a catheter, which is embedded into a huge vein in your neck. This sort of access might be transitory, yet is infrequently utilized for long haul treatment. Saranya. C. S | Dr. Kala. S "Wearable Artificial Kidney: A Dialysis Machine to Clean Blood" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14325.pdf Paper URL: http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/14325/wearable-artificial-kidney-a-dialysis-machine-to-clean-blood/saranya-c-s

ABSTACT: A rapid and sensitive liquid chromatography-mass spectrometry (LC-MS) method has been developed and validated for simultaneous determination of cefotaxime sodium and paracetamol. Sulfamethoxazole was used as the internal standard. A phenomenex Luna C18 column provided chromatographic separation of the analyte which was followed by detection with mass spectrometry. The mass transition ion-pair was followed as m/z 152.1 for paracetamol and 478.1 m/z for cefotaxime sodium. The mass transition of internal standard sulfamethoxazole was found at 254.0 m/z. The method involves simple isocratic chromatography conditions with mobile phase acetonitrile:20mM ammonium acetate buffer in the ratio of 40:60 and mass spectrometric detection that enables detection at ppm levels. The retention times were 3.477 and 5.601 min for Cefotaxime sodium and paracetamol respectively. The proposed method has been validated with linear range of 1-40 ppm for both the drugs. The precision values are ≤ 2 %. The accuracy of the method was found to be 98-102 %.

PURPOSE To describe the features of choroidal tumors on infrared (IR) imaging and to determine the diagnostic sensitivity and specificity of intratumoral choroidal vascular loops on IR imaging for circumscribed choroidal hemangioma (CCH). METHODS Infrared and indocyanine green images of CCH, choroidal metastases, and choroidal melanomas were reviewed. The main outcome measure was the presence of intratumoral choroidal vascular loops and tufts on IR images. The secondary outcome measure was the presence of peritumoral vascular expansion on indocyanine green images. RESULTS Intratumoral CCH vessels appear as dark beaded spaces on IR imaging; 95.5% of CCH had vascular loops compared with the controls of 65% in choroidal melanomas and 64% in choroidal metastases. The sensitivity of intratumoral vessels on IR for CCH was 95.4%. Subanalysis of six patients with CCH showed the presence of peritumoral vascular expansion on indocyanine green images. CONCLUSION Infrared imaging delineates intratumoral vessels in choroidal tumors appearing as dark beaded loops and tufts. Vascular loops on IR imaging showed a high diagnostic sensitivity for CCH. The absence of these loops on IR can help rule out the diagnosis of CCH. Peritumoral vascular expansion on indocyanine green is an additional diagnostic tool that is helpful in the diagnosis of CCH.

Background Low-dose aspirin reduces cardiovascular risk; however, monitoring over-the-counter medication use relies on the time-consuming and costly manual review of medical records. Our objective is to validate natural language processing (NLP) of the electronic medical record (EMR) for extracting medication exposure and contraindication information. Methods The text of EMRs for 499 patients with type 2 diabetes was searched using NLP for evidence of aspirin use and its contraindications. The results were compared to a standardised manual records review. Results Of the 499 patients, 351 (70%) were using aspirin and 148 (30%) were not, according to manual review. NLP correctly identified 346 of the 351 aspirin-positive and 134 of the 148 aspirin-negative patients, indicating a sensitivity of 99% (95% CI 97_100) and specificity of 91% (95% CI 88_97). Of the 148 aspirin-negative patients, 66 (45%) had contraindications and 82 (55%) did not, according to manual review.NLP search for contraindications correctly identified 61 of the 66 patients with contraindications and 58 of the 82 patients without, yielding a sensitivity of 92% (95% CI 84_97) and a specificity of 71% (95% CI 60_80). Conclusions NLP of the EMR is accurate in ascertaining documented aspirin use and could potentially be used for epidemiological research as a source of cardiovascular risk factor information.

The survival rate of Liver tumor patients can be improved if we perform early detection and treating them. The clinical researches have exposed that the volume measurement can give the best reflection of the tumor response. The liver tumor requires the tumor segmentation. This paper proposes an automatic support system for stage classification using artificial neural network (learning machine) and to detect Liver Tumor through fuzzy clustering methods for medical application. The detection of the Liver Tumor is a challenging problem, due to the structure of the Tumor cells. This project presents a segmentation method, fuzzy clustering algorithm, for segmenting Magnetic Resonance images to detect the Liver Tumor in its early stages and to analyze anatomical structures.

Neuroregression in infants has diverse aetiologies, and vitamin B12 deficiency is a rare one. Infantile vitamin B12 deficiency is usually secondary to maternal pernicious anaemia or maternal vegetarian diet. We report a 10-month-old infant with developmental regression secondary to vitamin B12 deficiency. Her mother was a strict vegetarian and the patient was exclusively breastfed. Clinical symptoms normalised after vitamin B12 supplementation.

Hematopoietic stem cell transplantation is important in the management of several lymphoproliferative and bone marrow disorders. Graft-versus-host disease (GVHD) involves inflammatory manifestations that arise after transplant and can affect many organs. Ocular manifestations of GVHD are common, and eye care providers must understand this disease entity. The ocular surface is most commonly involved, but GVHD can affect all parts of the eye. Ocular GVHD can be relapsing and remitting, can decrease quality of life, and can be challenging to diagnose and adequately treat. The diagnostic criteria for and grading of ocular GVHD continue to evolve. This review aims to summarize current definitions, clinical findings, diagnostic criteria, and management of ocular GVHD. The care of patients with ocular GVHD requires a multidisciplinary approach.

Sarcoid-like reactions have been reported and confirmed by histopathology in patients with malignant disease. This series demonstrates the complex relationship of malignancy and sarcoidosis as pertaining to the eye, which, to the best of our knowledge, has not been previously reported in the literature.Retrospective case study of five patients with sarcoid-like reactions. Patients 1 to 4 represent patients with ocular sarcoid-like reaction and systemic malignant disease. Patient 5 had ocular malignancy and systemic sarcoid-like reaction; workup revealed renal cell cancer. For each patient, other etiologies of nonnecrotizing granulomatous inflammation were excluded.Sarcoid-like reactions have been described in the literature when nonnecrotizing granulomas occur in association with malignancy and in the absence of multiorgan involvement as seen with systemic sarcoid. In our series, sarcoid-like reactions involved the vitreous in three patients, retina in one patient, and the choroid and lung in one patient. Sarcoid-like reaction preceded the diagnosis of malignancy in two patients, was found concomitantly with malignancy in one patient, and followed malignancy in two patients. Two patients had hematologic malignancy, one patient had endometrial carcinoma, one had renal cell carcinoma, and one patient had both renal cell carcinoma and uveal melanoma. Four patients had findings of nonnecrotizing granulomas confirmed by histopathology.Sarcoid-like reactions can occur in the eye, and ocular malignancies may incite sarcoid-like reaction. Ocular sarcoid-like reactions have paraneoplastic features in that they can occur at a site distant from malignancy and may precede, occur simultaneously with, or follow malignancy.

Biometric door lock security systems are used at those places where you have important information and stuffs. In that kind of places multibiometric electronic door lock security systems that are based on finger print and iris recognization.Multibiometric door lock security systems are used to prevent the door related burglaries such as break ins occurred in different forms so this is the best method to prevent this type of happenings. Unlike keyed locks, there is no need to take the keys with you when you go out without necessary of worrying about losing keys.This paper proposes a multimodal biometrics door lock system with iris and fingerprint as a computer application for automatically identifying or verifying a person from fingerprint iris recognition system. The first stage is identification and second one is verifying that whether he is a genuine user or imposter. During second stage system compares the input set with all available stored set in database. This comparison gives a ranked list of matches. Based on the rank retrieved an alarm is activated automatically when any unauthorized person tries to open the door. So this kind of multimodal biometrics will provide a highly secured and authenticated access.

The purpose of this article is to demonstrate the utility of the large spot size (LSS) setting using a binocular laser indirect delivery system for peripheral ablation in children. One patient with bilateral retinopathy of prematurity received photocoagulation with standard spot size burns placed adjacently to LSS burns. Using a pixel analysis program called Image J on the Retcam picture, the areas of each retinal spot size were determined in units of pixels, giving a standard spot range of 805 to 1294 pixels and LSS range of 1699 to 2311 pixels. Additionally, fluence was calculated using theoretical retinal areas produced by each spot size: the standard spot setting was 462 mJ/mm 2 and the LSS setting was 104 mJ/mm 2 . For eyes with retinopathy of prematurity, our study shows that LSS laser indirect delivery halves the number of spots required for treatment and reduces fluence by almost one-quarter, producing more uniform spots.

Alcohol addiction is an exponentially increasing dreadful disease. Alcoholic beverage is a drink that leads to greater risks of human health related problems. The consumption of alcohol is spring up as a serious issue. It makes a great difference on , both “how much you drink on any day” and “how often you have a heavy drink," The risk of developing alcoholism is not caused by a single gene, but rather numerous genes that interact with one another. Need of this paper is to reduce alcohol consumption by controlling and monitoring. Here we uses Sensors which response to a human physical stimulus and transmit a developed impulse. The interpreted data from the sensor is analyzed and used for prescribing the amount of liquor to the dipsomaniac person. The digital statistics is remotely maintained in the cloud repository. Through this alcohol sales, addiction can be controlled and avoid illegal sales. The intention of this paper is to monitor the health condition of a person.