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result(s) for
"Babu, R"
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Climate change, vulnerability and migration
\"This book highlights how climate change has affected migration in the Indian subcontinent. Drawing on field research, it argues that extreme weather events such as floods, droughts, cyclones, cloudbursts as well as sea-level rise, desertification and declining crop productivity have shown higher frequency in recent times and have depleted bio-physical diversity and the capacity of the ecosystem to provide food and livelihood security. The volume shows how the socio-economically poor are worst affected in these circumstances and resort to migration to survive. The chapters in this volume study the role of remittances sent by migrants to their families in environmentally fragile zones in providing an important cushion and adaptation capabilities to cope with extreme weather events. The book looks at the socio-economic and political drivers of migration, different forms of mobility, mortality and morbidity levels in the affected population, and discusses mitigation and adaption strategies. This volume will be of great interest to scholars and researchers of environment and ecology, migration and diaspora studies, development studies, sociology and social anthropology, governance and public policy, and politics.\"-- Provided by publisher.
Book
Deep Learning Technique-Enabled Web Application Firewall for the Detection of Web Attacks
New techniques and tactics are being used to gain unauthorized access to the web that harm, steal, and destroy information. Protecting the system from many threats such as DDoS, SQL injection, cross-site scripting, etc., is always a challenging issue. This research work makes a comparative analysis between normal HTTP traffic and attack traffic that identifies attack-indicating parameters and features. Different features of standard datasets ISCX, CISC, and CICDDoS were analyzed and attack and normal traffic were compared by taking different parameters into consideration. A layered architecture model for DDoS, XSS, and SQL injection attack detection was developed using a dataset collected from the simulation environment. In the long short-term memory (LSTM)-based layered architecture, the first layer was the DDoS detection model designed with an accuracy of 97.57% and the second was the XSS and SQL injection layer with an obtained accuracy of 89.34%. The higher rate of HTTP traffic was investigated first and filtered out, and then passed to the second layer. The web application firewall (WAF) adds an extra layer of security to the web application by providing application-level filtering that cannot be achieved by the traditional network firewall system.
Journal Article
The Yin-Yang Regulation of Reactive Oxygen Species and MicroRNAs in Cancer
Reactive oxygen species (ROS) are highly reactive oxygen-containing chemical species formed as a by-product of normal aerobic respiration and also from a number of other cellular enzymatic reactions. ROS function as key mediators of cellular signaling pathways involved in proliferation, survival, apoptosis, and immune response. However, elevated and sustained ROS production promotes tumor initiation by inducing DNA damage or mutation and activates oncogenic signaling pathways to promote cancer progression. Recent studies have shown that ROS can facilitate carcinogenesis by controlling microRNA (miRNA) expression through regulating miRNA biogenesis, transcription, and epigenetic modifications. Likewise, miRNAs have been shown to control cellular ROS homeostasis by regulating the expression of proteins involved in ROS production and elimination. In this review, we summarized the significance of ROS in cancer initiation, progression, and the regulatory crosstalk between ROS and miRNAs in cancer.
Journal Article
Different stages of disease detection in squash plant based on machine learning
To increase agriculture production, accurate and fast detection of plant disease is required. Expert advice is needed to detect disease in plants, nutrition deficiencies or any other abnormalities caused by extreme weather conditions. But this process is very tedious, costly, and takes more time. In this paper, hyperspectral imaging and machine learning were used to detect different stages (early, middle, and critical stage) of the powderly mildew disease (PMD) in squash plants. An unmanned aerial vehicle (UAV) was used to collect the data from the field and Locality Preserving Discriminative Broad Learning (LPDBL) was used to distinguish the diseased and healthy plants. In addition, the ability to detect the diseased plant by the proposed method was evaluated using 10 different spectral vegetation indices (VIs). The results show the proposed method detected the disease accurately in the early, middle, and critical stages of the squash plant. The proposed method’s performance is compared with six different PMDs under indoor laboratory test and UAV-based field test conditions. The comparison’s results show that the LPDBL provides better accuracy in detecting disease in the squash plant.
Journal Article
Exploring the Application of Micellar Drug Delivery Systems in Cancer Nanomedicine
Various formulations of polymeric micelles, tiny spherical structures made of polymeric materials, are currently being investigated in preclinical and clinical settings for their potential as nanomedicines. They target specific tissues and prolong circulation in the body, making them promising cancer treatment options. This review focuses on the different types of polymeric materials available to synthesize micelles, as well as the different ways that micelles can be tailored to be responsive to different stimuli. The selection of stimuli-sensitive polymers used in micelle preparation is based on the specific conditions found in the tumor microenvironment. Additionally, clinical trends in using micelles to treat cancer are presented, including what happens to micelles after they are administered. Finally, various cancer drug delivery applications involving micelles are discussed along with their regulatory aspects and future outlooks. As part of this discussion, we will examine current research and development in this field. The challenges and barriers they may have to overcome before they can be widely adopted in clinics will also be discussed.
Journal Article
Population genetic data of the 21 autosomal STRs included in GlobalFiler kit of a population sample from the Kingdom of Bahrain
Bahrain's population consists mainly of Arabs, Baharna and Persians leading Bahrain to become ethnically diverse. The exploration of the ethnic origin and genetic structure within the Bahraini population is fundamental mainly in the field of population genetics and forensic science. The purpose of the study was to investigate and conduct genetic studies in the population of Bahrain to assist in the interpretation of DNA-based forensic evidence and in the construction of appropriate databases. 24 short-tandem repeats in the GlobalFiler PCR Amplification kit including 21 autosomal STR loci and three gender determination loci were amplified to characterize different genetic and forensic population parameters in a cohort of 543 Bahraini unrelated healthy men. Samples were collected during the year 2017. The genotyping of the 21 autosomal STRs showed all of the loci were in Hardy-Weinberg Equilibrium (HWE) after applying Bonferroni's correction. We also found out no significant deviations from LD between pairwise STR loci in Bahraini population except when plotting for D3S1358-CSF1PO, CSF1PO-SE33, D19S433-D12S391, FGA-D2S1338, FGA-SE33, FGA-D7S820 and D7S820-SE33. The SE33 locus was the most polymorphic for the studied population and THO1 locus was the less polymorphic. The Allele 8 in TPOX scored the highest allele frequency of 0.496. The SE33 locus showed the highest power of discrimination (PD) in Bahraini population, whereas TPOX showed the lowest PD value. The 21 autosomal STRs showed a value of combined match probability (CMP) equal to 4.5633E-27, and a combined power of discrimination (CPD) of 99.99999999%. Off-ladders and tri-allelic variants were observed in various samples at D12S391, SE33 and D22S1045 loci. Additionally, pairwise genetic distances based on FST were calculated between Bahraini population and other populations extracted from the literature. Genetic distances were represented in a non-metric MDS plot and clustering of populations according to their geographic locations was detected. Phylogenetic tree was constructed to investigate the genetic relatedness between Bahraini population and the neighboring populations. Our study indicated that the twenty-one autosomal STRs are highly polymorphic in the Bahraini population and can be used as a powerful tool in forensics and population genetic analyses including paternity testing and familial DNA searching.
Journal Article
Alternatives to Biological Skin in Permeation Studies: Current Trends and Possibilities
The transdermal route of drugs has received increased attention in recent years due to numerous advantages over the oral and injectable routes, such as avoidance of the hepatic metabolism, protection of drugs from the gastrointestinal tract, sustained drug delivery, and good patient compliance. The assessment of ex vivo permeation during the pharmaceutical development process helps in understanding the product quality and performance of a transdermal delivery system. Generally, excised human skin relevant to the application site or animal skin is recommended for ex vivo permeation studies. However, the limited availability of the human skin and ethical issues surrounding the use of animal skin rendered these models less attractive in the permeation study. In the last three decades, enormous efforts have been put into developing artificial membranes and 3D cultured human skin models as surrogates to the human skin. This manuscript provides an insight on the European Medicines Agency (EMA) guidelines for permeation studies and the parameters affected when using Franz diffusion cells in the permeation study. The need and possibilities for skin alternatives, such as artificially cultured human skin models, parallel artificial membrane permeability assays (PAMPA), and artificial membranes for penetration and permeation studies, are comprehensively discussed.
Journal Article
Fabrication of samarium doped SnO2 thin films using facile spray pyrolysis technique for photocatalysis application
Samarium (Sm) doped SnO
2
thin films were fabricated onto micro-glass slides using a facile spray pyrolysis technique. The influence of samarium doping concentration (0.25, 0.50, and 1.00 wt%) on the photocatalytic characteristics of SnO
2
thin film is investigated using various characterization studies. X-ray diffraction (XRD) studies show that the tin oxide (SnO
2
) and Sm doped SnO
2
thin films possess average crystallite size of 48, 46, 45, and 44 nm corresponding to the tetragonal rutile structure. Micro-Raman spectroscopy analysis confirms the tetragonal phase of SnO
2
and Sm doped SnO
2
films from the fundamental peaks at 476, 637 and 777 cm
−1
. X-ray photoelectron spectroscopy (XPS) studies reveal that tin and Sm ions exist in the Sm
3+
and Sn
4+
oxidation states, respectively. Field emission scanning electron microscopy (FESEM) studies demonstrate that various Sm concentrations effectively enhance the SnO
2
film surface. The composition of SnO
2
and Sm doped SnO
2
films is analyzed by energy dispersive X-ray spectroscopy (EDX) analysis. The deposited films possess an average transmittance ranging from 64 to 94%. The band edge potential calculation for SnO
2
and Sm doped SnO
2
thin films indicates the presence of an impurity energy level, which is favourable for visible light performance. Photoluminescence (PL) analysis demonstrates that the prepared thin films have strong emissions at around 493 and 520 nm. The 0.25 wt% Sm doped SnO
2
thin film possesses visible light photocatalytic degradation efficiency of 85% against the methylene blue (MB) dye.
Journal Article
