Cerebral phaeohyphomycosis (CP) stands as an exceedingly uncommon yet severe type of fungal infection affecting the central nervous system, attributable to dematiaceous fungi. Despite the patient's immune status, CP is associated with grave prognosis. In the present study, authors describe the first case of left thalamic fungal abscess due to Rhinocladiella mackenziei in an immunocompetent 39-year-old male patient in Jaipur, Rajasthan. Early diagnosis by direct microscopy of aspirated pus and extensive management with surgical excision and prolonged antifungal coverage showed favourable outcome. The present case is one of the few cases documented globally who has survived.

This study investigated the effects of four rice-based cropping systems (rice-vegetable pea + coriander; rice-chickpea + coriander; rice-potato and rice-wheat) cultivated in long-term organic, integrated and conventional production systems on system productivity (SP), soil organic carbon (SOC) sequestration and soil properties. The experiment was laid out in a split plot design with the production system assigned to the main plots and the cropping system to sub-plots. The results revealed that SP, SOC content and SOC sequestration in the organic system were significantly higher than in the conventional counterpart (17.1%, 59.4% and 165.9% higher, respectively). The fractions of total organic carbon followed the order: very labile carbon > non-labile carbon > labile carbon > less labile carbon. The soil in the organic system had, in general, the most improved physical (water holding capacity, bulk density), chemical (available N, P, K and S, and DTPA-extractable Fe, Mn, Cu and Zn) and biological properties (dehydrogenase and acid and alkaline phosphatase activity), especially when compared with the conventional system. The legume-based cropping systems (rice-chickpea + coriander and rice-vegetable pea + coriander) enhanced the SP, SOC content and SOC sequestration by 22.6% and 46.5%, 16.3% and 11.9% and 47.5% and 29.4%, respectively, compared with the rice-wheat cropping system, with improvements also in different physical, chemical and biological soil properties. Thus, organic system with legume-based cropping (rice-chickpea + coriander and/or rice-vegetable pea + coriander) was concluded to sustain crop productivity and have greater soil carbon sequestration potential in the longer term.

Background: Head-and-neck cancers (HNCs) originate at multiple subsites with varying epidemiology and clinical profiles across India. Objectives: This study aimed to explore the demographic and clinico-epidemiologic profiles of patients with HNC at our institution. Materials and Methods: This retrospective observational study was conducted on the case records of all patients with HNC who were registered between January 2018 and December 2020 at the Department of Radiation Oncology of Maharishi Markandeshwar Institute of Medical Sciences and Research, Mullana, a comprehensive cancer center in rural Northern Haryana, India. Results: We enrolled 516 patients in the study. The mean age was 56 years (standard deviation (SD) 12.6), and the male-to-female ratio was 8.6:1. Smoking was reported by 413 (80%) patients, and smokeless tobacco use was reported by only 74 (14.3%) patients. Oropharyngeal cancer (178, 34.5%) was the most common site observed, and the base of tongue (112, 21.7%) was the most common subsite; oral cavity cancer was the second most common primary site, noted in 140 (27.1%) patients. This was contrary to global and national data, wherein oral cavity cancers are the most common. Most patients (226, 43.8%) presented with locally advanced disease, that is, Stage IVA. Conclusion: Oropharyngeal cancers are found in higher proportion when compared to oral cavity cancers in this belt of Northern Haryana and Northwestern Uttar Pradesh, owing perhaps to a higher level of smoking than tobacco chewing.

The synthesis of conformationally constrained non-anomeric furanoid sugar quaternary α-amino acids and sugar-fused δ- and γ-lactones from d-glucose have been accomplished. The furanoid sugar α-amino acids were accessed via generation of the quaternary centre at the C-3 position of glucose with the installation of amine and nitrile functionality producing the aminonitrile derivative as a single diastereomer. The Pinner cyclisation of the C-6 primary hydroxy of amino nitrile derivative paved the way for the formation of the glucose-fused δ-lactone. The basic hydrolysis of these sugar lactones and other subsequent reactions produced sugar-fused γ-lactone and sugar-templated aspartic acid, keto-functionalized glutamic acid, and homoserine.

Using mathematical analysis, a comparative evaluation of several types of biosensors constructed using field impact semiconductor (FET) is conducted. A traditional back-gated device and three other nanogap-based devices are evaluated in terms of their exhibit measures, which include features such as reactivity, affectability, recognition cutoff, and dynamic reach. An electrostatic model is applied to address the detecting rule. The biochemical response is copied basically by an adjustment of the negative charge thickness and permittivity TFET constructed. Bio-sensors that are taking low force and better qualities due than Band-2-Band tunneling investigating of transporter and sharp sub edge-swing. Its original copy portrays undeniable insight concerning the TFET constructed bio-sensors directly by developing different gadget assessment to bio-sensor application that incorporates subjective and measurable boundaries examination learning like affectability boundaries with various elements influencing the affectability by looking at changed designs and the systems in question. During ongoing years, field-impact semiconductor biosensors-Bio-FE applicable in the field of biomedical has encountered various vigorous improvements in combination of advancements in different FET attributes just like the change of bio-receptor constructions. This audit at first gives thought on this hard work development by momentarily adding up astounding investigations on 2 previously stated observations. The previous research integrates manufacturing unusual nanostructures by using advanced materials for different FET transducers, though the latter fundamentally arranges minimal atomssassbio-tests (immunizer sections and aptamers). We recommend the applicable utilization of the investigating fields impact semiconductors (TFET) by way of a biosensor that further identifies bio-atoms arranged at the door oxide.

Introduction: Mass vaccination is considered one of the most crucial weapons in fighting against the ongoing COVID-19 pandemic. However, the occurrence of breakthrough infections (BTIs) has questioned the vaccine effectiveness of the currently available vaccines. The present study aimed to determine the breakthrough SARS-CoV-2 infections in the vaccinated population and to compare the clinic-epidemiological profile and outcomes between breakthrough cases and unvaccinated SARS-CoV-2 positive cases. Methods: This retrospective case-control study was conducted between April 15, 2021, and June 15, 2021, in a zonal military hospital in Jaipur. We evaluated individuals with BTI as cases which were SARS-CoV-2 positive after 14 days of the second dose of vaccine and unvaccinated SARS-CoV-2-positive individuals as control. The clinical and demographic data was collected from the Indian Council of Medical Research and specimen referral forms were filled out for all persons who had undergone testing for SARS-CoV-2. The outcome of positive cases in terms of discharge and deaths were collected from hospital records. Results: A total of 162 breakthrough COVID 19 infections and 925 unvaccinated positive confirmed controls were recorded within the study duration. The majority of cases presented with mild infection in both case (80.2%) and control groups (72.4%). The risk of hospitalization and occurrence of moderate to severe disease was 2.3 and 4 times more in the non-vaccinated group as compared to the vaccinated group, respectively. No mortality was reported among the breakthrough cases. Interpretation and Conclusions: Despite the occurrence of BTIs, the benefits of vaccines are far greater. Our findings suggest that vaccination is associated with a lower risk of hospital admission, severe disease, and mortality against COVID-19.

Candidemia is one of the significant causes of mortality amongst critically ill patients in Intensive Care Units (ICUs). This study aimed to assess the incidence, risk factors and antifungal susceptibility pattern in candidemia cases admitted in ICU in a tertiary care hospital in Jaipur, Rajasthan from June 2021 to November 2021. Candida species isolated from blood culture of clinically suspected patients of sepsis were defined as candidemia cases. Blood culture and antifungal susceptibility testing were performed as per standard laboratory protocol. Analyses of risk factors was done between candidemia cases and matched controls in a ratio of 1 : 3. Forty-six candidemic cases and 150 matched controls were included in the study. C. tropicalis was the most prevalent species (22/46; 48%) followed by C. auris (8/46; 17%) and C. albicans (7/46; 15%). Candida species showed good sensitivity to echinocandins (97%) followed by amphotericin B (87%) and voriconazole (80%). In multivariate analysis, longer stay in ICU, presence of an indwelling device, use of immunosuppressive drugs and positive SARS-CoV-2 infection were associated with increased risk of candidemia. The constant evaluation of risk factors is required as prediction of risks associated with candidemia may help to guide targeted preventive measures with reduced morbidity and mortality.

Carbohydrates, amino acids, and nucleosides, the fundamental building blocks of complex biomolecules in nature, are essential starting materials for the fabrication of natural and unnatural structural entities, which necessitate the masking and demasking of various functional groups with the utmost chemoselectivity, mildness, and efficiency to avoid unintended bond breaking and formation, as well as associated reactions. Ketals, benzylidene, methoxymethyl, p-methoxybenzyl, silyl ethers, trityl, tert-butyl carbamate, and other functional groups are widely used in modern organic synthesis. In carbohydrate chemistry, the commonly used protecting functionality of isopropylidene and cyclohexylidene ketals necessitates effective methods for selective cleavage. This review summarises different methods for deblocking isopropylidene and cyclohexylidene ketals using inorganic acids, Lewis acid, silica-supported inorganic acids, Amberlite-120 (H+) resin, phosphotungstic acid, Nafion-H, NaBArF4.2H(2)O, montmorillonite clay, Dowex 50W-X8, camphorsulphonic acid (CSA), ceric ammonium nitrate, molecular iodine, ionic liquids, zeolites and so on.

Background:The change in serological status of community may be used as input for guiding the public health policy. Hence, the present study was conducted to determine change in seroprevalence of COVID-19 among healthcare workers (HCWs).Methods:From the baseline multicentric study sample, a subsample was followed up, and a seroepidemiological study was conducted among them between 6 and 22 weeks after the second dose of the vaccination. Multistage population proportion to size sampling was performed for the selection of subsample of HCWs. The serosurvey was conducted using the enzyme-linked immunosorbent assay-based IgG antibody test (COVID KAVACH).Results:Follow-up serological testing was done in subsample of 1122 participants of original 3253 participants. The mean age of the participants was 34.6 (8.13) years. A total of 300 (26.7%) participants were females. The seroprevalence was 78.52, (95%CI:76-80.1). Among those who were seronegative at initial test, 708 (77.04%) were seroconverted. Those who were not seroconverted (241 (21.5%)) have longer duration from the second dose of the vaccination (93 (31.4) vs. 56 (38.4); p value < 0.001). The COVID-19 infection was significantly associated with seropositive status and being a medical staff was associated with remaining seronegative on follow-up. The higher age (≥50 years) was found to be significantly associated with seroreversion.Conclusion:Four in five HCWs had detectable antibodies. Seroepidemiological studies carry vital information to control the public health response in the course of the pandemic. The study can also further help as a platform to study the seroconversion and effect of vaccination among HCWs for newer variants of SARS-CoV-2.

This work deals with the novel characterization of n + SiGe δ-doped layer with the combination of gate stacking method in Vertical TFET device by using TCAD simulation tool. The vertical structure will enhance the device’s scalability because of vertical electron tunneling for vertical electrical field. Therefore, higher ON state current offers due to parallel movement of charge carriers to the gate electric field. The introduction to the optimized n + Si0.2Ge0.8 δ-doped layer will further reduce the off-state leakage current and enhance device performance because it minimizes the tunneling bandwidth between the source and channel junction. Triple metal gate is introduced to mitigate the unwanted ambipolar conduction and optimized the work function at tunneling gate, control gate and auxiliary gate with the value of 4.15 eV, 4.3 eV and 4.15 eV. Four of the different combinations have been discussed and compared with and without presence of the gate stack and n + δ-doped layer. The reported data reveals that among all different structures, the existence of gate staking method and SiGe δ-doped layer will show the 40% improvement with existing simulations. A high current ratio of the order (~1013), with substantially benchmarking results of steeper subthreshold slope (9.75 mV/decade), is achieved. The simulation results conclude the n + δ-doped TMG vertical TFET as a sustainable candidate for ultralow-power applications.

Technology has evolved into a pivotal driving force for global communication. Twitter, Facebook, and Instagram are the most essential channels for expressing opinions on the daily developments that occur in and around the world. In this work, the tweets of US Election 2020 have been collected from twitter. After pre-processing the tweets, Sentimental Analysis using textblob and Behaviour Analysis using text2emotion are applied. The generation of feature vector is done using n-grams (unigram + bigram) for Machine Learning and neural networks keras for Deep Learning. Finally, the performance of the model is evaluated by using Deep Learning algorithms and then compared with Machine Learning algorithm. The model has achieved an accuracy of 84% using Bi-LSTM.

In this paper, a new 2D analytical model for surface potential of a gate stacked triple metal Vertical TFET with n + delta doped layer (delta-doped n + SiGe GS-TMG-VTFET) is presented. The parabolic approximation process is used to solve the Poisson equation in terms of channel surface potential and electrical field respectively. The proposed method consists of a dual modulation effect that controls the surface potential at both the interface of the source and drains with the channel. This structure comprises SiO2 and HfO2 as gate-stacked materials to extend the control of the gate terminal over the channel. In addition, the proposed TMG-VTFET outperforms the surface potential results in terms of input and output characteristics like gate-source voltage (V-GS) and drain-source voltage (V-DS), gate oxide, and SiGe mole fraction. Finally, we obtained the expression of the channel surface potential, which involves the biasing variation of source and drain terminal. Our proposed model is accounting the variable of kane model in respect to extract the drain current characteristics. It can be modeled by integrating band-to-band tunneling generation rate using suitable boundary conditions. Now, efficiency of the proposed model for both the surface potential and drain current has been confirmed by comparing its analytical outcomes with the TCAD results.

Americans waste about a pound of food per day. Some of this is represented by inedible food waste at the household level. Our objective was to estimate inedible food waste in relation to diet quality and participant socio-economic status (SES). Seattle Obesity Study III participants (n = 747) completed the Fred Hutch Food Frequency Questionnaire (FFQ) and socio-demographic and food expenditure surveys. Education and geo-coded tax-parcel residential property values were measures of SES. Inedible food waste was calculated from diet records. Retail prices of FFQ component foods (n = 378) were used to estimate individual-level diet costs. The NOVA classification was used to identify ultra-processed foods. Multivariable linear regressions tested associations between inedible food waste, SES, food spending, Nutrient Rich Food (NRF9.3) and Healthy Eating Index (HEI-2015) scores. Inedible food waste was estimated at 78.7 g/d, mostly from unprocessed vegetables (32.8 g), fruit (30.5 g) and meat, poultry, and fish (15.4 g). Greater inedible food waste was associated with higher HEI-2015 and NRF9.3 scores, higher food expenditures and lower percent energy from ultra-processed foods. In multivariable models, more inedible food waste was associated with higher food expenditures, education and residential property values. Higher consumption of unprocessed foods were associated with more inedible food waste and higher diet costs. Geo-located estimates of inedible food waste can provide a proxy index of neighborhood diet quality.

The analysis of the online data posted on various e-commerce sites is required to improve consumer experience and thus enhance global business. The increase in the volume of social media content in the recent years led to the problem of overfitting in review classification. Thus, there arises a need to select relevant features to reduce computational cost and improve classifier performance. This chapter investigates various statistical feature selection methods that are time efficient but result in selection of few redundant features. To overcome this issue, wrapper methods such as sequential feature selection (SFS) and recursive feature elimination (RFE) are employed for selection of optimal feature set. The empirical analysis was conducted on movie review dataset using three different classifiers and the results depict that SVM could achieve f-measure of 96% with only 8% selected features using RFE method.

Tunnel Field Effect Transistor (TFET) is emerging as a suitable device to operate at a very low power. TFET overcomes the challenges faced by MOSFET based on its different switching mechanisms of band to band tunneling (BTBT) which makes it unique in terms of very low power consumption. TFET facilities steeper slope(<60mV/decade), improved ON/OFF current ratio and low on current and very low leakage current. In this paper, various device structures of TFETs and different parameter variations such as junction width, tunneling barrier width, thickness of gate dielectric and silicon on Insulator (SOI) thickness have been studied. TFET structures had been modified over time and more advanced technology been added to increase its on-current, improve its ambipolarity and overall to obtain steeper slope. The investigation is centered on different technological methods to improve performance.

Objective To explore the built environment (BE) and weight change relationship by age, sex, and racial/ethnic subgroups in adults. Methods Weight trajectories were estimated using electronic health records for 115,260 insured Kaiser Permanente Washington members age 18–64 years. Member home addresses were geocoded using ArcGIS. Population, residential, and road intersection densities and counts of area supermarkets and fast food restaurants were measured with SmartMaps (800 and 5000-meter buffers) and categorized into tertiles. Linear mixed-effect models tested whether associations between BE features and weight gain at 1, 3, and 5 years differed by age, sex, and race/ethnicity, adjusting for demographics, baseline weight, and residential property values. Results Denser urban form and greater availability of supermarkets and fast food restaurants were associated with differential weight change across sex and race/ethnicity. At 5 years, the mean difference in weight change comparing the 3rd versus 1st tertile of residential density was significantly different between males (−0.49 kg, 95% CI: −0.68, −0.30) and females (−0.17 kg, 95% CI: −0.33, −0.01) ( P -value for interaction = 0.011). Across race/ethnicity, the mean difference in weight change at 5 years for residential density was significantly different among non-Hispanic (NH) Whites (−0.47 kg, 95% CI: −0.61, −0.32), NH Blacks (−0.86 kg, 95% CI: −1.37, −0.36), Hispanics (0.10 kg, 95% CI: −0.46, 0.65), and NH Asians (0.44 kg, 95% CI: 0.10, 0.78) ( P -value for interaction <0.001). These findings were consistent for other BE measures. Conclusion The relationship between the built environment and weight change differs across demographic groups. Careful consideration of demographic differences in associations of BE and weight trajectories is warranted for investigating etiological mechanisms and guiding intervention development.

AbstractHigher consumption of ‘ultra-processed’ (UP) foods has been linked to adverse health outcomes. The present paper aims to characterise percentage energy from UP foods by participant socio-economic status (SES), diet quality, self-reported food expenditure and energy-adjusted diet cost. Participants in the population-based Seattle Obesity Study III (n755) conducted in WA in 2016–2017 completed socio-demographic and food expenditure surveys and the FFQ. Education and residential property values were measures of SES. Retail prices of FFQ component foods (n378) were used to estimate individual-level diet cost. Healthy Eating Index (HEI-2015) and Nutrient Rich Food Index 9.3 (NRF9.3) were measures of diet quality. UP foods were identified following NOVA classification. Multivariable linear regressions were used to test associations between UP foods energy, socio-demographics, two estimates of food spending and diet quality measures. Higher percentage energy from UP foods was associated with higher energy density, lower HEI-2015 and NRF9.3scores. The bottom decile of diet cost ($216·4/month) was associated with 67·5 % energy from UP foods; the top decile ($369·9/month) was associated with only 48·7 % energy from UP foods. Percentage energy from UP foods was inversely linked to lower food expenditures and diet cost. In multivariate analysis, percentage energy from UP foods was predicted by lower food expenditures, diet cost and education, adjusting for covariates. Percentage energy from UP foods was linked to lower food spending and lower SES. Efforts to reduce UP foods consumption, an increasingly common policy measure, need to take affordability, food expenditures and diet costs into account.