A Fluorescent Chemodosimeter for Hg2+Based on a Spirolactam Ring-Opening Strategy and its Application Towards Mercury Determination in Aqueous and Cellular Media

A novel fluorescent chemosensor rhodamine B phenyl hydrazide (RBPH) for Hg2+ was designed and synthesized. This probe is highly sensitive, selective, and irreversible for Hg2+ and exhibits fluorescent response at 580 nm. RBPH also displayed detectable color change from colorless to pink upon treatment with Hg2+. This property has been utilized as naked eye detection for Hg2+ in various industrial samples. Fluorescence microscopic experiments demonstrated that this chemosensor is cell permeable and can be used for fluorescence imaging of Hg2+ in cellular media. This probe can detect Hg2+ with good linear relationships from 1 to 100 nM with r = 0.99983 and the limit of detection were found to be 0.019 nM with ± 0.91 % RSD at 10 nM concentrations

Influence of Pongamia, Mahua and Neem cakes on finger millet productivity and soil fertility

A field experiment conducted at Bio-fuel park, Agricultural Research Station, Madenur, Hassan in Kharif season of 2009 to asses the performance of finger millet (Eleusine coracana L.) under different organic manure treatment consisting of four treatments viz., recommended FYM and NPK through inorganic fertilizers as control, Pongamia, Mahua and Neem cake with 5 replications laid in randomized complete block design. The results revealed that application of recommended FYM along with neem cake equivalent to 100% recommended N performedbetter in respect of finger millet productivity and maintenance of soil fertility followed by recommended FYM with 100% NPK through fertilizers. Nutrient supplementation with different oilcakes proved superior in respect of soil sustainability

Análisis comparativo sobre modelos de redes neuronales profundas para la detección de ciberbullying en redes sociales

Social media usage has been increased and it consists of both positive and negative effects. By considering the misusage of social media platforms by various cyberbullying methods like stalking, harassment there should be preventive methods to control these and to avoid mental stress. These extra words will expand the size of the vocabulary and influence the performance of the algorithm. Therefore, we come up with variant deep learning models like LSTM, BI-LSTM, RNN, BI-RNN, GRU, BI-GRU to detect cyberbullying in social media. These models are applied on Twitter, public comments data and performance were observed for these models and obtained improved accuracy of 90.4%.Introducción: el uso de las redes sociales se ha incrementado y tiene efectos tanto positivos como negativos. Al considerar el uso indebido de las plataformas de redes sociales a través de varios métodos de acoso cibernético, como el acecho y el acoso, debe haber métodos preventivos para controlarlos y evitar el estrés mental.Problema: estas palabras adicionales ampliarán el tamaño del vocabulario e influirán en el rendimiento del algoritmo.Objetivo: Detectar el ciberacoso en las redes sociales.Metodología: en este documento, presentamos variantes de modelos de aprendizaje profundo como la memoria a largo plazo (LSTM), memoria bidireccional a largo plazo (BI-LSTM), redes neuronales recurrentes (RNN), redes neuronales recurrentes bidireccionales (BI-RNN), unidad recurrente cerrada (GRU) y unidad recurrente cerrada bidireccional (BI-GRU) para detectar el ciberacoso en las redes sociales.Resultados: El mecanismo propuesto ha sido realizado, analizado e implementado sobre datos de Twitter con Accuracy, Precision, Recall y F-Score como medidas. Los modelos de aprendizaje profundo como LSTM, BI-LSTM, RNN, BI-RNN, GRU y BI-GRU se aplican en Twitter a los datos de comentarios públicos y se observó el rendimiento de estos modelos, obteniendo una precisión mejorada del 90,4 %.Conclusiones: Los resultados indican que el mecanismo propuesto es eficiente en comparación con los es-quemas del estado del arte.Originalidad: la aplicación de modelos de aprendizaje profundo para realizar un análisis comparativo de los datos de las redes sociales es el primer enfoque para detectar el ciberacoso.Restricciones: estos modelos se aplican solo en comentarios de datos textuales. El trabajo propio no se ha concentrado en datos multimedia como audio, video e imágenes

Evaluation of Energy Consumption using Receiver–Centric MAC Protocol in Wireless Sensor Networks

At present day’s wireless sensor networks, obtain a lot consideration to researchers. Maximum number of sensor nodes are scattered that can communicate with all others. Reliable data communication and energy consumption are the mainly significant parameters that are required in wireless sensor networks. Many of MAC protocols have been planned to improve the efficiency more by enhancing the throughput and energy consumption. The majority of the presented medium access control protocols to only make available, reliable data delivery or energy efficiency does not offer together at the same time. In this research work the author proposes a novel approach based on Receiver Centric-MAC is implemented using NS2 simulator. Here, the author focuses on the following parametric measures like - energy consumption, reliability and bandwidth. RC-MAC provides high bandwidth without decreasing energy efficiency. The results show that 0.12% of less energy consumption, reliability improved by 20.86% and bandwidth increased by 27.32% of RC-MAC compared with MAC IEEE 802.11

The Phospha–Michael addition product {(t-BuNH)P(μ-N-t-Bu)2P(=N-t-Bu)—C(=CH2)CH(p-CH3O—C6H4)-P(O)[(OCH2C(CH3)2CH2O)]}

The title compound, 2-{2-[1,3-di-tert-butyl-4-(tert-butyl­amino)-2-(tert-butyl­imino)-1,3,2λ5,4-diaza­diphosphetidin-2-yl]-1-(4-meth­oxy­phen­yl)prop-2-en-1-yl}-5,5-dimethyl-1,3,2λ5-dioxaphosphinan-2-one, C31H57N4O4P3, was synthesized from the Phospha–Michael addition reaction of cyclo­diphos­pha­zane [(t-BuNH)P(μ-Nt-Bu)]2 and allenyl­phospho­nate [(OCH2C(CH3)2CH2O)P(O)C(p-CH3O—C6H4)=C=CH2]. In the crystal, N—H⋯O and C—H⋯O hydrogen bonds link the mol­ecules. The structure exhibits pseudosymmetry but attempts to solve it in a higher (monoclinic) space group were unsuccessful

EVALUATION OF ANXIOLYTIC POTENTIAL OF VARIOUS EXTRACTS OF TAMARINDUS INDICA FLOWERS

Objective: The objective of this study was designed to gauge the antianxiety activity of varied extracts, namely, n-hexane, chloroform, ethyl acetate, and methanol of the flowers of Tamarindus indica using elevated plus maze (EPM) model in albino mice. Methods: Coarsely powdered tamarind was powdered and subjected to exhaustive Soxhlet extraction using n-hexane, chloroform, ethyl acetate, and methanol. Solvents were recovered from all extracts using a rotary vacuum evaporator under reduced pressure. Albino mice have ministered orally with different doses of the extracts (i.e., 200 and 400 mg/kg) and behavior was observed on the EPM. The standard (positive control) employed in the study Diazepam (2 mg/kg, P.O). Results: Results indicate that the methanol extract of T. indica flowers showed maximum and significant dose-dependent effect at 200 and 400 mg/kg on EPM, the results were just like the standard antianxiety agent diazepam (2 mg/kg). Locomotor activity evaluated with two different doses of T. indica (200 and 400 mg/kg) using actophotometer. The results were shown to be decreased in a dose dependent model compared to control. Conclusion: The methanol extract shows that the presence of polyphenols could be liable for the anxiolytic potential of T. indica. Hence, this plant could also be used as a useful antianxiety agent

Variation in Antioxidant Activity and Antioxidant Constituents of Ocimum basilicum Linn with the Maturity of Plant Grown in Open Field and Inside Polyhouse Conditions

The variation in antioxidant activity and antioxidant constituents of different plant growth stages i.e. in every 15 day’s interval till maturity of plant of Ocimum basilicum Linn. grown in an open field and inside polyhouse conditions was studied. The correlation between antioxidant constituents and antioxidant activities was also studied. The result revealed that the 90 days old plant grown in an open field condition exhibited maximum antioxidant activity with the lowest IC50/EC50 value by ABTS (0.064 mg/ml), DPPH (0.090 mg/ml), and FRAP (0.099 mg/ml) followed by 75 days and 60 days old plants, similar pattern was also observed in their antioxidant constituents. Similarly, the 90 days old plant grown inside polyhouse condition showed maximum antioxidant activity with antioxidant constituents followed by other plant growth stages in descending order. The chlorophyll content was found maximum in 15 days old plant(0.926 mg/100g) grown in an open field condition, whereas the maximum chlorophyll content (1.470 mg/100g) exhibited by 90 days old plant grown inside polyhouse condition. The correlation analysis revealed that the antioxidant constituents exhibited a significant negative correlation with the IC50/EC50 value and the IC50 value of ABTS assay had a significantly positive correlation with the IC50 and EC50 value of DPPH and FRAP assay, respectively. Hence, the study revealed that the leaves extract of plant grown in open field conditions possesses a significantly higher antioxidant activity and antioxidant constituents than the plant grown inside polyhouse condition

Prevalence of Obesity and its Influencing Factors in Affluent School Children of Tumkur: Lessons from South India

Background:Obesity is defined by WHO “as a condition of abnormal or excessive fat accumulation in adipose tissue, to the extent that health may be impaired”. The problem of childhood obesity is quite high in rich and affluent countries. 1. To estimate the prevalence of obesity among school children aged 6-15 years in three affluent schools of Tumkur. 2. To study the influencing factors of obesity among school children. Methods: Study Design: Case Control study. Study Settings: Three affluent schools of Tumkur city, Karnataka, South India. Sample size was2000 Students of three affluent schools and duration of study was fromJune to August 2014. Each Child’s height and weight were measured by adopting standard procedure. Body mass index (BMI) was calculated using BMI charts based on NCHS (national center for health statistics) standards. A child was considered obese if the BMI was > 95th percentile cutoff point which is specific to the age and sex of the child. To determine the association of (life style) influencing factors of obesity in children, mothers were interviewed in presence of children to gather information’ about their child’s daily (24 hour) activity. Results:Out of 2000 children 66 were obese. The prevalence was 3.3% in school children in the age group of 6-15 years in three affluent schools of Tumkur. In our study, Prevalence of obesity was more in boys (3.47%) on comparison to girls (3.04%). There is increased prevalence of obesity in age group of six, eleven and twelve years. In this study 77.2% cases spent less than 2 hrs in a day and 22.7% cases spent more than 2 hrs in physical activities. Prevalence of obesity was more in children who spent less than 2 hrs in a day in physical activities. This was statistically significant. Conclusions:Prevalence of obesity in school children aged 6-15 yrs is 3.3% in three affluent schools of Tumkur. Prevalence of obesity was more in boys on comparison with girls. Physical activity was the significant influencing factor of obesity among school children

Incremental Hierarchical Clustering driven Automatic Annotations for Unifying IoT Streaming Data

In the Internet of Things (IoT), Cyber-Physical Systems (CPS), and sensor technologies huge and variety of streaming sensor data is generated. The unification of streaming sensor data is a challenging problem. Moreover, the huge amount of raw data has implied the insufficiency of manual and semi-automatic annotation and leads to an increase of the research of automatic semantic annotation. However, many of the existing semantic annotation mechanisms require many joint conditions that could generate redundant processing of transitional results for annotating the sensor data using SPARQL queries. In this paper, we present an Incremental Clustering Driven Automatic Annotation for IoT Streaming Data (IHC-AA-IoTSD) using SPARQL to improve the annotation efficiency. The processes and corresponding algorithms of the incremental hierarchical clustering driven automatic annotation mechanism are presented in detail, including data classification, incremental hierarchical clustering, querying the extracted data, semantic data annotation, and semantic data integration. The IHCAA-IoTSD has been implemented and experimented on three healthcare datasets and compared with leading approaches namely- Agent-based Text Labelling and Automatic Selection (ATLAS), Fuzzy-based Automatic Semantic Annotation Method (FBASAM), and an Ontology-based Semantic Annotation Approach (OBSAA), yielding encouraging results with Accuracy of 86.67%, Precision of 87.36%, Recall of 85.48%, and F-score of 85.92% at 100k triple data

Long-term outcomes of pars plana Ahmed valve implant and vitrectomy in eyes with refractory glaucoma

Background: Pars plana vitrectomy with implantation of an Ahmed glaucoma valve in the vitreous cavity has been reported with a success rate in the management of refractory and neovascular glaucoma. This study aimed to present the outcomes of pars plana Ahmed glaucoma valve (PPAV) surgical implantation in cases with refractory glaucoma. Methods: In this single-center, retrospective, comparative study, 87 consecutive patients diagnosed with refractory glaucoma who underwent PPAV surgical implantation between October 2015 and October 2019 were evaluated. A successful postoperative outcome was defined as intraocular pressure (IOP) less than or equal to 21 mmHg upon examination and a reduction in the number of anti-glaucoma agents used at the last follow-up. Results: Finally, 81 eyes of 78 patients with refractory glaucoma were included; 54 (66.66%) of the eyes had neovascular glaucoma. The mean follow-up was 20.65 ± 12.17 months (range: 2 to 52 months). The mean preoperative IOP was 40.01 ± 1.19 mmHg and reduced significantly to 16.73 ± 0.82 mmHg at the latest follow-up (P < 0.001); thus, a successful IOP outcome was achieved in 88.89% of eyes. The mean number of anti-glaucoma agents decreased significantly from 2.86 ± 0.09 preoperatively to 1.46 ± 0.11 at the latest follow-up (P < 0.001); while 61 (75.31%) of eyes had a reduction in the number of IOP lowering eye drops, and 14 (17.28%) had no need for IOP lowering eye drops. Conclusions: PPAV surgery is a successful procedure for IOP reduction in patients with refractory glaucoma. Our study demonstrated either reduction or elimination of IOP lowering eye drops postoperatively. Large scale studies with a comparison group, a longer follow-up, and having various subtypes of glaucoma are required as future research to confirm these outcomes