Impact of Fintech on the Banking Sector

Digital transformation development triggers the boom of Fintech (financial technology) initiatives, which are recognized as some of the most important innovations in the financial industry. Fintech refers to the novel processes and products that become available for financial services thanks to digital technological advancements. Fintech is very rapidly growing in financial markets and effective impact on banks and financial institutions. This digital transformation allows the users to access their financial requirements wherever they are rather than physically going to the bank. The functions of banking sectors are reduced from complicated to more simplified manner through the innovative products in fintech. This development empowers the customers to take their financial decisions and allows them to get higher financial literacy than ever before. After covid, the impact is far more visible in the rural areas also. Most of the paper works digitalized and data regarding the customers are secured in a very protective manner

Thromboembolism in Children with Multisystem Inflammatory Syndrome: A Literature Review

Multisystem inflammatory syndrome in children (MIS-C) is a hyperinflammatory response observed in children several weeks to months after acute infection with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). On review of all published cases of thromboembolism (TE) as a complication of MIS-C, 33 cases of TE were found with incidence ranging from 1.4 to 6.5%. TE occurred mostly in children aged 12 years and above. One-third of the cases were cerebral infarcts and the remaining cases included intracardiac and radial arterial thromboses, upper and lower extremity deep vein thrombosis, pulmonary embolism, and splenic infarcts. Five were asymptomatic cases and 3/33 (9%) patients (all three with cerebral infarcts) died. To conclude, TE appears to be a significant complication of MIS-C caused by SARS-CoV-2 infection, associated with morbidity and/or mortality. Patients ≥12 years are affected more often, and TE occurs despite thromboprophylaxis in some patients. Thromboprophylaxis should be considered in all cases after reviewing the concomitant bleeding risk. Prospective studies are needed to confirm the role of standard-dose thromboprophylaxis and to explore whether higher-dose thromboprophylaxis is required in certain high-risk patients with MIS-C

Natural Adsorbents for Agricultural Waste Water Treatment

In now a days, water problems have been one of the focus of great International concern and debate. Environmental pollution is mainly due to rapid industrialization. It is a demanding problem for maintaining the quality and cleanness of water. The discharges of industrial wastes in to aquatic bodies are a great threat to the aquatic life as well as for human health also. It is a matter of great importance due to their toxicity and after effects. Adsorption is an ecofriendly technique used now a days to treat the agricultural waste water. The sewage water is firstly filtered through suitable low cost and ecofriendly filter medias. Then the filtered water is subjected to adsorption using low cost and easily available natural adsorbents like banana peels and M. Thilapia fish scales. The combination of both these adsorbents was used for treatment of waste water with different proportion of height and contact time. The treated water obtained will have a considerable decrease in TDS, bacterial count, nitrogen content, Iron content, Potassium, TSS, turbidity, phosphorous, etc. as compared to initial characteristics of agro wastewater. This method is highly economic, cost effective and eco-friendly. This helps in reducing the water scarcity with the use of low cost adsorbents

Seasonal availability and population structure of Eurobowmaniella simulans W. Tattersall, 1915 (Crustacea: Mysida) along Vizhinjam coast, Kerala, India

Eurobowmaniella simulans is the commonly available species of mysid along the Vizhinjam coast of Kerala. Sampling of mysids has been carried out over a period of one year from March 2014 to February 2015 to study the seasonal availability and population structure. Monthly samples of mysids consisted of individuals in various developmental stages, from juveniles to mature mysids around the year, but their percentage availability varied. The peak availability of mysids was recorded during September (2014) (avg. 48,731 numbers per haul) and their availability was lowest in July (2014) with an average of 2 individuals per haul. The availability of brooding or ovigerous females were observed throughout the year and highest and lowest percentage availability was during November (2014) and April (2014) respectively. Morphometric measurements of E. simulans revealed that their average size (TL) ranged from 2.35±0.52 mm- (juvenile) to 7.47±1.75 mm (adult). Sex could be first distinguished externally when mysid attains the total length between 4.1 mm and 5 mm. Analysis of variance of different water quality parameters and mysid density comparing seasons revealed that there was significant variation of mysid availability between seasons (P < 0.05). Multivariate Pearson’s correlation analysis of water quality parameters and mysid density showed that there was a significant relation with chlorophyll a content (P < 0.001) of seawater. The present study also revealed that mysids are available in harvestable quantities for aquaculture purposes from August to November

Identification of heat-tolerant rice genotypes and their molecular characterisation using SSR markers

The effect of high-temperature stress has a critical impact in causing reduced crop yield. The focus of the current investigation is the identification of heat-tolerant rice varieties that can alleviate the effects of stress. Among the ten genotypes evaluated across various parameters such as leaf area, dry weight, photosynthetic rate, stomatal conductance and spikelet fertility, N-22 showed superior characteristics for the grain filling parameters along with CR-Dhan 307. The variety CR-Dhan 307 with significantly higher mean pollen viability (80.23%), spikelet fertility (81.18%) and 1000 grain weight (25.45 gm) can be utilized as a heat-tolerant variety. Other genotypes Ptb-7 and CR-Dhan 202 seemed to have tolerance traits beneficial at the vegetative stage. The genotype Rajalakshmi can be characterised as heat susceptible as it had significantly lower values for all parameters. Polymorphic analysis was carried out to validate SSR markers associated with heat tolerance. The polymorphic information content (PIC) was found to be the highest for RM236 and RM6100. The SSR marker RM6100 has been validated in the current investigation to be associated with heat tolerance. As the PIC value is an indication of the ability of the marker in indicating genetic diversity, the PIC values of the 11 polymorphic markers is useful for identify heat-tolerant genotypes. The genetic diversity analysis was carried out using DendroUPGMA to establish the relationship between the genotypes. The genotypes Ptb-7 and CR-Dhan 204 were thus found to be closely related to the heat-tolerant check variety, N-22 indicating genetically related traits for tolerance to heat

DeeProBot: a hybrid deep neural network model for social bot detection based on user profile data

Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one’s opinions in a public platform. This great potential is misused by the creation of bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from bot accounts has become a pressing issue for researchers. In this paper, we propose a framework based on deep learning to classify Twitter accounts as either ‘human’ or ‘bot.’ We use the information from user profile metadata of the Twitter account like description, follower count and tweet count. We name the framework ‘DeeProBot,’ which stands for Deep Profile-based Bot detection framework. The raw text from the description field of the Twitter account is also considered a feature for training the model by embedding the raw text using pre-trained Global Vectors (GLoVe) for word representation. Using only the user profile-based features considerably reduces the feature engineering overhead compared with that of user timeline-based features like user tweets and retweets. DeeProBot handles mixed types of features including numerical, binary, and text data, making the model hybrid. The network is designed with long short-term memory (LSTM) units and dense layers to accept and process the mixed input types. The proposed model is evaluated on a collection of publicly available labeled datasets. We have designed the model to make it generalizable across different datasets. The model is evaluated using two ways: testing on a hold-out set of the same dataset; and training with one dataset and testing with a different dataset. With these experiments, the proposed model achieved AUC as high as 0.97 with a selected set of features

Morphological, anatomical and reproductive features of Loliolus (Loliolus) hardwickei (Gray, 1849) caught from the Vizhinjam Coast, Kerala, India

The morphological, anatomical and reproductive features of the little Indian squid, Loliolus (Loliolus) hardwickei (Gray, 1849) were studied based on samples collected from boat seine operated along the Vizhinjam Coast. The species was found to be a new entrant to the fishery along the Vizhinjam Coast. A total of 27 morphometric characters were measured and 13 indices were calculated and reported. Dorsal mantle length (DML) of the specimens ranged from 2.6 to 6.8 cm with a mean DML of 4.5±0.88 cm. The largest specimen observed was a male with DML 6.8 cm. Fully mature (Stage IV) specimens were found to have a higher gonadosomatic index (12.54±2.64 in females and 0.8±0.21 in males). Average length and width of spermatophores were 3.078±0.092 mm and 0.11±0.02 mm respectively. Samples with higher DML were in advanced maturity stages (Stage V). Size composition (DML) of samples revealed that 50% of squids were within the 4-5 cm size range

INCOIS-GODAS-MOM: Ocean Analysis for the Indian Ocean: Configuration, Validation and Product Dissemination

The ocean covers approximately 71% of the earth surface and it significantly influences the global and regional climates and the weather and monsoon systems. Climate variability and its socio-economic impact clearly emphasizes the need to understand the system to enable better forecasts. Unlike land, where the operational networks of meteorological observations placed all over the world have enabled us to monitor changes in the global atmosphere, the global coverage of the subsurface observations in the ocean is largely under sampled. With the advent of Argo and moored buoy programs, there was a considerable increase in the amount of oceanic data during the last decade. However, the data is still inadequate to understand the dynamics and thermodynamics of the ocean on different spatial and temporal scale

Recurrent Nontraumatic Subgaleal Hematomas in a Pediatric Patient With Sickle Cell Disease

Spontaneous subgaleal hematoma in pediatric patients with sickle cell disease (SCD) is a rare occurrence that can present with symptoms mimicking ischemic stroke, a known complication of SCD. However, unlike ischemic stroke, subgaleal hematoma is nonlethal and can be managed conservatively without major sequelae. Here, we present the case of an adolescent with SCD who presented with 2 episodes of subgaleal and epidural hematomas, 2 years apart. The latter episode occurred while on crizanlizumab, an anti-P-selectin antibody, approved for use in SCD in 2019 to reduce the number of acute pain crises. We demonstrate the diagnosis of subgaleal hematoma and outline steps to conservative management which were safe and did not lead to focal neurologic deficits