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Recent Developments on Flexible Materials for Thermoelectrics
In recent decades, thermoelectric materials have gained a significant attention due to their ability to directly convert waste heat into electricity. While extensive research has been focused on enhancing the thermoelectric properties of inorganic bulk materials, a new frontier has emerged in this area as flexible thermoelectric materials. These flexible thermoelectrics are driven by the limitations posed by the rigidity, less functional and toxicity of conventional inorganic thermoelectric materials. Despite notable achievements in the development of high-performance flexible thermoelectric materials, they still pose inferior figure of merit (zT) in comparison to their inorganic counterparts. This review encompasses various aspects of flexible thermoelectric materials including theoretical foundations which highlight the principles that explain the concepts and parameters of thermoelectricity to enhance the overall performance, serving as a foundation for understanding the subsequent developments. Further it is overviewed in detail the corresponding state of the art in development of conducting thermoelectric polymers, inorganic-polymer composites, carbon-based thermoelectric and inorganic thermoelectrics on flexible substrates to enhance their thermoelectric performances. Finally it includes the overlook to the future of flexible thermoelectric for wearable thermoelectrics
Impact of Technology on the Financial Performance of Indian Commercial Banks
The banks' freedom to choose their capital structure is restricted by the capital adequacy rules. The implementation of the capital adequacy ratio may have a detrimental effect on the banks' profitability. Since debt repayment imposes restraint on managers' behaviour, It has been argued that when capital ratios are larger, agency costs between managers and shareholders typically increase.. However, the improved monitoring required by the capital adequacy rules and the larger surplus brought about by a positive bank-borrower relationship will have a favourable effect on the banks' profitability. Indian banking. stated that in terms of cost and profit efficiencies, Indian public sector banks were more effective than private and foreign banks. The use of technology enabled banks to create their own websites that their clients may view from the comfort of their homes or offices using web browsers.  
Investigating the Internet Skills of Older Adults in South Africa
The older adult population is growing in South Africa. However, it is reported that approximately only 3.6% of older adults use the Internet. Using information technology resources and the internet can enable older adults to be independent for longer, and the internet may improve older adults’ quality of life. Additionally, access to technology and the internet supports access to information and digital inclusion. This study investigated older adults’ level of internet skills in South Africa and their experiences regarding internet use. The research followed a positivist, quantitative approach and used online questionnaires for data collection. The results showed that older adults appear to be lacking in internet skills in South Africa. The overall mean scores were low, where mobile skills seemed to be the lowest-rated skill for the respondents. The evaluation also showed that online operational and creativity skills appeared low for older adults
Synthesis and characterization of some novel sulfonate and carbonate prodrugs of Atovaquone, accomplished with better solubility profile
Atovaquone is an acclaimed anti-malarial drug with considerably poor water solubility and hence has low bioavailability. To overcome this issue, a few novel prodrugs of Atovaquone were introduced in this work. In line with this, two prodrugs of Atovaquone having sulfonate and carbonate molecular framework extension were disclosed. This work encapsulates the synthesis, characterization, solubility profile and feasibility of hydrolysis of disclosed prodrugs. These prodrugs have shown better water solubility than the parent drug, Atovaquone. Hence, prodrugs of the present invention can contribute to increasing the bioavailability and clinical efficacy of Atovaquone. It is worth perusing further in-vivo studies with these prodrugs to solidify them for routine clinical practices with safe and efficacious drug delivery
Prediction of Heart Disease Using Machine Learning for Framingham Dataset
Cardiovascular Diseases (CVDs) are considered a silent killer as many people fall prey in the hand of death without any prior warning. This work represents various attributes, habits, parameters related to human beings and their connection to heart disease. Machine learning model based algorithms such as Naive Bayes, Decision Tree, K-nearest Neighbor, Logistic Regression, Recurrent Neural Network, Random Forest algorithm have been evaluated for Cardiovascular Disease (CVD) prediction. It was found that among all the algorithms evaluated, logistic regression performs best in predicting cardiovascular disease. 
Isolation, characterization, and synthesis of some process-origin impurities of Atovaquone, a renowned anti-malarial drug
To improve the yield of Atovaquone, we explored the chemical consequences occurring during its step-wise synthesis (process chemistry). Hence, the entire focus of this initiative was aimed towards the isolation of a few major process origin byproducts that were formed during the two-step reaction process. The synthesis of Atovaquone was done by the use of commercially viable key starting material trans-4-(4-chlorophenyl) cyclohexanecarboxylic acid for the decarboxylative coupling reaction with another key reactant 2,3-dichloro-1,4-naphthoquinone to obtain the intermediate. The isolated intermediate was hydrolyzed to obtain Atovaquone. From the mother liquors (MLRs) of each stage, we were able to isolate a few major process origin impurities and characterize them with the assistance of spectral data. Additionally, we even synthesized some of the impurities and compared them with the ones that were isolated from the MLRs. In this work, we report the experimental aspects and results related to six process-origin impurities of Atovaquone.
Boron Deficiency Detection in Banana Leaves using Skip-Connected Convolutional Neural Network (SC-CNN)
Plants rely on a delicate balance of 16 essential nutrients to thrive, with macronutrients being crucial for robust growth, while micronutrients play a vital role despite being needed in smaller quantities. Insufficient nutrient levels can stunt plant growth, hinder flowering, and reduce fruit yield. Accurate diagnosis of these deficiencies is paramount for farmers to address issues effectively, ensuring the cultivation of nutrient-rich crops and maximizing yield. Bananas, a globally significant fruit crop known for its high nutritional value, require meticulous nutrient management to thrive. Micronutrients like Boron, are critical for maintaining hormonal equilibrium in banana plants, with deficiencies often manifesting visibly on leaves. This study proposes a deep-learning approach to detect Boron deficiencies in banana leaves. The developed CNN model with Skip Connections (CNNSC), comprising thirteen layers, outperforms established architectures like VGG16, DenseNet, and Inception V3. Evaluation metrics showcase the model’s effectiveness, achieving a remarkable accuracy of approximately 95%.
Improved Photocatalytic and Bacterial Growth Inhibition Properties Realized for PbS/SnO2-rGO Nanocomposite
PbS/SnO2 (PS) and rGO-PbS/SnO2 (rPS) nanocomposites (NCs) were synthesized through one-pot green synthesis and chemical precipitation methods. In this paper, a comparison of the synthesized composites' photodegradation and bacterial growth inhibition properties has been conducted. For both composites, XRD analyses show the presence of tetragonal-structured SnO2 and cubic-structured PbS peaks. rGO blending increases PS crystallite size from 29 nm to 34 nm. rPS NC shows uniformly packed grains with well-defined boundaries. Absorption peaks of PS redshifts with rGO inclusion. The decreased band gap for rPS might be due to the synergistic effect of sulfur/oxygen vacancies and significant interaction between rGO and PbS/SnO2 NC. The rPS catalyst demonstrated a maximum degradation efficiency of 93% against rhodamine B (RhB) dye. Antibacterial activity of PbS/SnO2 improves with rGO inclusion. PS and rPS NCs are more resistant to gram-positive bacteria than gram-negative bacteria