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AbstractA wide variety of natural products have been widely used in chemoprevention therapy because they have antioxidant, anti-inflammatory, and anticancer activity. In the present study, we shed light on the 5th day germinated sprouts of N. sativaseeds and evaluated them against HDAC inhibition and antioxidant activity. The extract from the seed and sprout was extracted and characterised by LC-MS/MS, FTIR, and NMR to reveal its chemical composition, especially thymol (THY) and thymoquinone (TQ). Hepatocellular carcinoma (HCC) is a global health concern as it is a major lifestyle disease. Hence, incorporating herbal-based therapeutic compounds into everyday routines has become an attractive alternative for preventing hepatic diseases. Histone deacetylase (HDAC) inhibition (HDACi) is emerging as a promising therapeutic strategy for managing various carcinomas including HCC. Therefore, the 5th day of N. sativacan be used as a potential anticancer agent by inhibiting HDAC activity, as it is reported to have an important role in the management of oxidative stress. The bioactive compound of N. sativa, i.e. thymoquinone, also showed a good binding affinity with the HDAC protein (3MAX) with a stable interaction in an in silicostudy as compared to the standard drug (Trichostatin A) and thymol.Communicated by Ramaswamy H. Sarma

AbstractMelanoma is an extremely dangerous disease. The diagnosis and treatment of it may be difficult because of its diversity and complexity. More than 90% of the marine biomass (microflora and microalgae) constitutes the natural biodiversity reserves. TLR-related research developments indicate possible cancer therapeutic possibilities. In addition to its significant function in innate immunity, TLR activation is connected to the start of pyroptosis, apoptosis, or autophagy in malignance cells. For these reasons, TLR agonists are appealing candidates for the production of cancer medications. From the web databases, the ternary structures of the receptors (TLR3 and TLR4) and ligands are extracted. Sixty-nine compounds were subjected to a drug likeness filter, but only twenty-two were screened further for evaluating ADMET criteria, in which only seven compounds satisfied the pharmacological properties. These compounds are further analyzed for docking parameters against TLRs (TLR3 and TLR4) and molecular simulation investigation of the best cluster to evaluate the complex stability. Molecular docking methodology discovered that Scytonmein has a significant binding potential energy of −5.21 and −7.92 kcal/mol against TLR3 and TLR4, respectively, in comparison to the redock co-crystal structure (−3.98 and −4.30 kcal/mol, respectively). The simulation analysis demonstrates the significant stability of the Scytonemin and TLR4 complexes in terms of average RMSD and RMSF compared to the redock complex, while criteria like solvent-accessible surface area (SASA), gyration (Rg) and hydrogen bonding have further supported the significant interaction and stability of the conformations.Communicated by Ramaswamy H. Sarma

AbstractMycobacteriumAspartate beta semialdehyde dehydrogenase (ASADH) was studied using various spectroscopic techniques and size exclusion chromatography to examine the unfolding of free (apo) and NADP/H-bound (holo) forms of ASADH. Non-cooperative guanidinium chloride (GdnHCl)-induced unfolding of the apo ASADH was discovered, and no partially folded intermediate structures were stabilized. On the other hand, it was observed that GdnHCl’s unfolding of holoenzyme was a cooperative process without any stable intermediate structure. The native form of holoenzyme is found to be stable against the lower concentration of GdnHCl only (namely up to 1.25 M GdnHCl). The tryptophan environment appears to unfold cooperatively in case of the holoenzyme and is in well coordination with the overall unfolding of the holoenzyme. The presence of NADP/H shows a stabilizing effect on the tryptophan environment as well as on the native NADP/H-bound enzyme. values reveal nearly two-fold (∼1.9) conformationally more stable folded holoenzyme compared to its native apo state. The Cmfor the apo and holo forms of ASADH are 1.3 and 1.9 M, respectively. Novel drug leads targeting the NADP/H binding domain of ASADH could offer promising drugs against extremely infective Mycobacterium tuberculosis.Communicated by Ramaswamy H. Sarma

ABSTRACTIntroductionDespite cancer treatment strides, mortality due to ovarian cancer remains high globally. While immunotherapy has proven effective in treating cancers with low cure rates, it has limitations. Growing evidence suggests that both tumoral and non-tumoral components of the tumor immune microenvironment (TIME) play a significant role in cancer growth. Therefore, developing novel and focused therapy for ovarian cancer is critical. Studies indicate that TIME is involved in developing ovarian cancer, particularly genome-, transcriptome-, and proteome-wide studies. As a result, TIME may present a prospective therapeutic target for ovarian cancer patients.Areas coveredWe examined several TIME-targeting medicines and the connection between TIME and ovarian cancer. The key protagonists and events in the TIME and therapeutic strategies that explicitly target these events in ovarian cancer are discussed.Expert opinionWe highlighted various targeted therapies against TIME in ovarian cancer, including anti-angiogenesis therapies and immune checkpoint inhibitors. While these therapies are in their infancy, they have shown promise in controlling ovarian cancer progression. The use of ‘omics’ technology is helping in better understanding of TIME in ovarian cancer and potentially identifying new therapeutic targets. TIME-targeted strategies could account for an additional treatment strategy when treating ovarian cancer.

ABSTRACTLeprosy is a major health concern and continues to be a source of fear and stigma among people worldwide. Despite remarkable achievements in the treatment, understanding of pathogenesis and transmission, epidemiology of leprosy still remains inadequate. The prolonged incubation period, slow rates of occurrence in those exposed and deceptive clinical presentation pose challenges to develop reliable strategies to stop transmission. Hence, there is a need for improved diagnostics and therapies to prevent mortality caused by leprosy. The objectives of this study are to identify significant genes from protein-protein interactions (PPIs) network of leprosy and to choose the most effective therapeutic targets. Fifty genes related with leprosy were discovered by literature mining. These genes were used to construct a primary network. Leading Eigen Vector method was used to break down the primary network into various sub-networks or communities. It was found that the primary network was divided into many sub-networks at the 6 levels. Seed genes were traced at each level till key regulatory genes were identified. Three seed genes, namely, GNAI3, NOTCH1, and HIF1A, were able to make their way till the final motif stage. These genes along with their interacting partners were considered key regulators of the leprosy network. This study provides leprosy-associated key genes which can lead to improved diagnosis and therapies for leprosy patients.

Knowledge graph embedding models have gained significant attention in AI research. The aim of knowledge graph embedding is to embed the graphs into a vector space in which the structure of the graph is preserved. Recent works have shown that the inclusion of background knowledge, such as logical rules, can improve the performance of embeddings in downstream machine learning tasks. However, so far, most existing models do not allow the inclusion of rules. We address the challenge of including rules and present a new neural based embedding model (LogicENN). We prove that LogicENN can learn every ground truth of encoded rules in a knowledge graph. To the best of our knowledge, this has not been proved so far for the neural based family of embedding models. Moreover, we derive formulae for the inclusion of various rules, including (anti-)symmetric, inverse, irreflexive and transitive, implication, composition, equivalence and negation. Our formulation allows to avoid grounding for implication and equivalence relations. Our experiments show that LogicENN outperforms the existing models in link prediction.

La prevención de las lesiones por presión (LPP) adquiridas en el hospital en pacientes críticos sigue siendo un reto clínico importante debido a su alto riesgo de comorbilidad asociada. Se evaluó la eficacia preventiva de los apósitos de silicona en los pacientes ingresados en las unidades de cuidados intensivos y en entornos no relacionados con dichas unidades.

Introduction: Garlic is an established antioxidant, owing its antioxidant property to a number of constituent sulfhydryl compounds, the most important of which is diallyl sulfide (DAS). Garlic and its constituents are known to protect against reactive oxygen species mediated damages by various toxicants including asbestos, a well known carcinogen. Present study is a first attempt to compare potential of crude garlic extract and DAS to protect against asbestos induced genotoxicity in vivo. Materials and Methods: Female albino rats were exposed to Indian chrysotile asbestos intratracheally. Other groups of rats were exposed to chrysotile and either garlic or diallyl sulfide. We employed the micronucleus and chromosomal aberrations assays in the alveolar macrophages to analyze the genotoxicity of asbestos fibers. Results: Our results indicate that both garlic extract as well as DAS, when administered to rats, significantly reduced genetic damages induced by asbestos, although the protection by garlic extract was much higher than that of DAS. Conclusion: We conclude two important outcomes; first, garlic extract provides more robust protection as compared to any of its isolated constituents and second, the macrophages can be used as a non-invasive tool for genotoxicity assessment after exposure through inhalation.

Sulfur dyed cellulosic goods exhibit limited wash fastness against oxidative laundering; particularly to washing powder formulations containing activated bleaches. This study presents a novel two-bath exhaust finishing process to improve the wash fastness of Sulfur Black 1 dyed cotton fabrics reduced with two different reducing agents—sodium sulfide and a commercial glucose-based Diresul reducing agent D. The finishing process involves sequential aftertreatments with a cationic fixative and synthetic tanning agent (syntan). A Box-Behnken design with three variables: concentrations of cationic fixative and syntan, and application temperature of syntan (at three different levels) was studied to understand the effects of these variables on the color retention of the dyed cotton fabrics. Color retention of the sulfur dyeings was improved using the newly developed finishing process.

Flexible and ultrasensitive biosensing platforms capable of detecting a large number of trinucleotide repeats (TNRs) are crucial for future technology development needed to combat a variety of genetic disorders. For example, trinucleotide CGG repeat expansions in the FMR1gene can cause Fragile X syndrome (FXS) and Fragile X-associated tremor/ataxia syndrome (FXTAS). Current state-of-the-art technologies to detect repeat sequences are expensive, while relying on complicated procedures, and prone to false negatives. We reasoned that two-dimensional (2D) molybdenum sulfide (MoS2) surfaces may be useful for label-free electrochemical detection of CGG repeats due to its high affinity for guanine bases. Here, we developed a low-cost and sensitive wax-on-plastic electrochemical sensor using 2D MoS2ink for the detection of CGG repeats. The ink containing few-layered MoS2nanosheets was prepared and characterized using optical, electrical, electrochemical, and electron microscopic methods. The devices were characterized by electron microscopic and electrochemical methods. Repetitive CGG DNA was adsorbed on a MoS2surface in a high cationic strength environment and the electrocatalytic current of the CGG/MoS2interface was recorded using a soluble Fe(CN)6–3/–4redox probe by differential pulse voltammetry (DPV). The dynamic range for the detection of prehybridized duplexes ranged from 1 aM to 100 nM with a 3.0 aM limit of detection. A detection range of 100 fM to 1 nM was recorded for surface hybridization events. Using this method, we were able to observe selectivity of MoS2for CGG repeats and distinguish nonpathogenic from disease-associated repeat lengths. The detection of CGG repeat sequences on inkjet printable 2D MoS2surfaces is a forward step toward developing chip-based rapid and label-free sensors for the detection of repeat expansion sequences.

Objective:The middle cerebral artery (MCA) is the most commonly treated artery in mechanical thrombectomy stroke trials; however, there is no pragmatic agreement about the segmental anatomy and nomenclature utilized. It results in significant clinical-radiological dissociation and introduces bias in research trials. The purpose of the study is to review and compare angiographic anatomy with microsurgical anatomy literature of the MCA with emphasis on the discrepancy. Methodology:Consecutive cerebral angiograms between January 2011 and March 2014 were retrospectively reviewed by endovascular surgical neuroradiologists. Information about the anatomy of the sphenoidal segment of the MCA classified as classic and non-classic pattern, the lenticulostriate artery takeoff pattern, and the course angulation of the sphenoidal segment were studied. Results:A total of 500 patients, 886 cerebral angiograms, were reviewed. We found the classic pattern of the main trunk MCA bifurcation and a straight angulation course in less than half of the cases. The lenticulostriate arteries arose not only from the main trunk but also from its divisions in more than half of the cases. Conclusion:It is important to corroborate our findings and to develop a pragmatic classification to accurately assess MCA occlusions from the radiological and clinical perspective.

In this study, the relative effect of aftertreatments with two fixing agents (A and B) on the washfastness of C.I. Sulfur Black 1 dyed cotton fabric was evaluated using ISO 105-C09. The surface chemistry of untreated and aftertreated sulfur dyed cotton fabrics were studied by using X-Ray Photoelectron Spectroscopy (XPS). The N(1s) XPS spectrum of fixing agent A aftertreated fabric showed the concentration of uncharged and quaternary nitrogen species, while fixing agent B portrayed only uncharged nitrogen. Fixing agent A improved the washfastness of the dyed fabric to a greater extent than fixing agent B, owing to the presence of the quaternary nitrogen species. Improvement in the resistance to oxidation of the dye during domestic laundering was observed.

Introduction: The regulation of apoptosis via compounds originated from marine organisms signifies a new wave in the field of drug discovery. Marine organisms produce potent compounds as they hold the phenomenal diversity in chemical structures. The main focus of drug development is anticancer therapy. Methods: Expertise on manifold activities of compounds helps in the discovery of their derivatives for preclinical and clinical experiment that promotes improved activity of compounds for cancer patients. Results: These marine derived compounds stimulate apoptosis in cancer cells by targeting Bcl-2 and Survivin, highlighting the fact that instantaneous targeting of these proteins by novel derivatives results in efficacious and selective killing of cancer cells. Conclusion: Our study reports the identification of Aplysin and Haterumaimide J as Bcl-2 inhibitors and Cortistatin A as an inhibitor of survivin protein, from a sequential virtual screening approach.

Background: Malignant tumors are the leading cause of death in humans. Due to the tedious efforts and investigations made in the field of marine drug discovery, there is now a scientific bridge between marine and pharmaceutical sciences. However, currently only few marine drugs have been lined towards anticancer direction yet many more to are be established in future as well. Method: This review gives an overview of present status of marine natural products MNPs both at the level of research and clinical stages. The authors haved summarized the detail information of diverse marine organisms that were reportedto be active or potentially active in cancer treatment in the last two decades. Interstingly, marine organisms are abundant producer of plenty of structurally incomparable bioactive metabolites that have unusual mode of actions and diverse biosynthetic pathways. Results: This review summarizes the associated anticancer properties of different classes of marine natural compounds based on their structural diversity, biological activity, and the molecular mechanisms of action. Emphasis has also be given to recent advances in clinical development of marine agents used in clinical trials. Conclusions: The present review is summarising the various sources of marine chemicals and their exploration of anticancerous potential. There is justified hope for the discovery and development of new anticancer agents from the marine environment.

Indium tin oxide (ITO) is the premier choice for transparent conductive electrodes in optoelectronic devices despite its inherent brittleness. Here we report the fabrication of a grating-like structure that obviates ITO’s mechanical limitations while retaining its resistivity and optical qualities. ITO nanopatterned films exhibited a resistivity <1.3 × 10–3Ω cm, which surpassed all previously reported values for flexible ITO, with a normal transmission >90% across the whole visible spectrum range. We demonstrate the nanopatterned ITO retains extraordinary flexibility and durability on heat-sensitive substrates, accommodating cyclic bending to a curvature diameter of at least 3.2 mm for over 50 cycles of compressive and decompressive flexing without significant deterioration of its resistivity or optical properties. Moreover, 2-dimensional extrapolation shows that multiaxial bending is also feasible while maintaining mechanical flexibility, durability, and optical transparency.

Overgrowth of short tandem repeat sequences in our genes can cause various neurodegenerative disorders. Such repeat sequences are ideal targets for the label-free electrochemical detection of such potential expansions. However, their length- and sequence-dependent secondary structures may interfere with the interfacial charge transfer of a detection platform, making them complex targets. In addition, the gene contains sporadic repeats that may result in false-positive signals. Therefore, it is necessary to design a platform capable of mitigating these effects and ultimately enhancing the specificity of tandem repeats. Here, we analyzed three different backbones of nucleic acid microprobes [DNA, peptide nucleic acid, and lock-nucleic acid (LNA)] to detect invitro transcribed RNA carrying CAG repeats, which are associated with Huntington’s disease, based on the charge-transfer resistance of the interface. We found that the LNA microprobe can distinguish lengths down to the attomolar concentration level and alleviate the effect of secondary structures and sporadic repeats in the sequence, thus distinguishing the “tandem repeats” specifically. Additionally, the control experiments conducted with and without Mg2+demonstrated the LNA microprobe to perform better in the presence of the divalent cation. The results suggest that the LNA-based platform may eventually lead to the development of a reliable and straightforward biosensor for genetic neurodegenerative disorders.

Metal-matrix nanocomposites have a separate variety of objectives under provisions of their enhanced properties. Ion irradiation with low energy is a curious contrivance to achieve the bulk variations of distinct materials. The effect of low energy ion irradiation is explored on Cu-C60nanocomposite thin films grown by the thermal co-deposition method. The Cu concentration in the as-deposited sample is found to be ∼ 45 at.% by Rutherford Backscattering Spectrometry (RBS). Owing to high metal concentration, a Surface Plasmon Resonance (SPR) peak is found at 616 nm in the as-deposited sample and the average size of Cu nanoparticles is determined to be ∼7.8 nm, with a broad size distribution. The as-deposited samples are irradiated with a beam of 220 keV Ag ions using an ion accelerator, which leads to moderate variations in the structural, electrical, and optical properties of nanocomposite thin film. The SPR peak is effectively red-shifted by ∼16 nm at a highest dose. The outcomes of Raman spectroscopy disclose the gradual transformation of fullerene C60into amorphous carbon with increasing doses. High-Resolution Transmission Electron Microscopy (HRTEM) images demonstrate the minor growth of copper nanoparticles with ion irradiation. A growth in surface grains with ion dose is confirmed by Field Emission Scanning Electron Microscope (FESEM) and Atomic Force Microscopy (AFM). The X-ray Photoelectron Spectroscopy (XPS) measurements have been used for the chemical state evaluation of the nanocomposite films. The I-V measurements show the conversion of fullerene into amorphous carbon with a loss in the resistivity of the film.

When working with algorithms on quantum devices, quantum memory becomes a crucial bottleneck due to low qubit count in NISQ-era devices. In this context, the concept of ‘divide and compute’, wherein a quantum circuit is broken into several subcircuits and executed separately, while stitching the results of the circuits via classical post-processing, becomes a viable option, especially in NISQ-era devices. This paper introduces Qurzon, a proposed novel quantum compiler that incorporates the marriage of techniques of divide and compute with the state-of-the-art algorithms of optimal qubit placement for executing on real quantum devices. A scheduling algorithm is also introduced within the compiler that can explore the power of distributed quantum computing while paving the way for quantum parallelism for large algorithms. Several benchmark circuits have been executed using the compiler, thereby demonstrating the power of the divide and compute when working with real NISQ-era quantum devices.

Prediction of essential proteins of a pathogenic organism is the key for the potential drug target identification, because inhibition of these would be fatal for the pathogen. Identification of these proteins requires the use of complex experimental techniques which are quite expensive and time consuming. We implemented Support Vector Machine algorithm to develop a classifier model for in silico prediction of prokaryotic essential proteins based on the physico-chemical properties of the amino acid sequences. This classifier was designed based on a set of 10 physico-chemical descriptor vectors (DVs) and 4 hybrid DVs calculated from amino acid sequences using PROFEAT and PseAAC servers. The classifier was trained using data sets consisting of 500 known essential and 500 non-essential proteins (n=1,000) and evaluated using an external validation set consisting of 3,462 essential proteins and 5,538 non-essential proteins (n=9,000). The performances of individual DV sets were evaluated. DV set 13, which is the combination of composition, transition and distribution descriptor set and hybrid autocorrelation descriptor set, provided accuracy of 91.2 in 10-fold cross-validation of the training set and an accuracy of 89.7 in external validation set and of 91.8 and 88.1 using a different yeast protein dataset. Our result indicates that this classification model can be used for identification of novel prokaryotic essential proteins.

Composite materials are used extensively in aircraft structures, automobiles, sporting goods, and many consumer products. Thin-walled multicell beams made of composite materials, have important applications in aerospace structures. The torsion load on these beams is caused due to distance between Centre of Pressure (CP) and Centre of Gravity (CG) of aerospace vehicle in flight. Warping is a result of torsion load and its analysis is important to predict actual behavior of multicell beams. Study of warping displacements is necessary because prevention of warping leads to stress development. Enhancement in design requires design optimization generated by parametric modeling. Problem of cross-sectional distortion can be controlled through use of rigid diaphragms equally spaced along the length of beam. The aim of present study is to establish a procedure for parametric modeling in presence of rigid regions and simulate warping effects caused by torsion on multicell beams. Quasi-isotropic composite material has been used in multicell beams. Four models of multicell beams analyzed have same length and thickness, but different number of rigid regions and corresponding compatible mesh size. Warping is simulated by FEM based computational program ANSYS, and one; ten and seventy rigid regions inside beam were analyzed. Numerical simulations results show that beam with single rigid region has higher axial warping and more uniform rate of change as compared to beams with multiple rigid regions. It was found that first beam model with one rigid region has warping error 41.6%, second and third model each with ten rigid regions (but different edge size) have 2.5% error in warping, fourth model has 70 rigid regions and it has 0% error in warping. Results show that inaccurate interlaminar shear stresses do not affect the warping behavior of multicell beams. Once the parametric model is defined, then it becomes very quick and easy process to perform warping analysis of composite multicell beam with rigid regions.

India currently has the largest number of indoor air pollution–related health problems in the world, with three‐quarters of its households burning wood, cowdung, or crop residues (“traditional” biomass fuels) for cooking, and the remainder using kerosene and relatively clean‐burning liquefied petroleum gas (LPG). Combustion of these fuels produces various pollutants that may cause serious health effects in exposed populations. In this study, the micronucleus (MN) and chromosomal aberration (CA) assays were used to evaluate the relative amounts of DNA damage produced by the use of these cooking fuels. Cytogenetic evaluation of 179 female subjects showed a significant increase in both MN and CA frequency in blood lymphocytes from users of biomass‐fuels in comparison to lymphocytes from LPG users (used as a reference population). The relative MN and CA frequencies for the users of the various fuels decreased in the order cowdung > cowdung/wood ≥ wood > kerosene ≥ LPG. Further, the results indicated an effect of subject age, and the duration of exposure on the MN and CA frequencies in biomass fuel users. Age had no significant effects on the genotoxicity responses in subjects with ≤10 years of exposure to either biomass fuels or LPG, but in subjects using biomass fuels for >10 years, CA and MN frequencies were higher in older individuals (>30 years of age) than younger subjects. Regardless of age, subjects burning biomass fuels had higher MN and CA frequencies than LPG users only when exposures were of at least 5 years duration. These results indicate that burning biomass‐based fuels increases the frequency of cytogenetic alterations in blood lymphocytes of exposed populations, possibly because of exposure to the various noxious gases and toxic substances present in biomass fuels. These cytogenetic markers could be used in the field to assess the genotoxic consequences of burning various cooking fuels and for early detection of genetic abnormalities in people exposed to various pollutants and toxicants. Environ. Mol. Mutagen. 43:243–249, 2004. © 2004 Wiley‐Liss, Inc.

India currently has the largest number of indoor air pollution–related health problems in the world, with three-quarters of its households burning wood, cowdung, or crop residues (“traditional” biomass fuels) for cooking, and the remainder using kerosene and relatively clean-burning liquefied petroleum gas (LPG). Combustion of these fuels produces various pollutants that may cause serious health effects in exposed populations. In this study, the micronucleus (MN) and chromosomal aberration (CA) assays were used to evaluate the relative amounts of DNA damage produced by the use of these cooking fuels. Cytogenetic evaluation of 179 female subjects showed a significant increase in both MN and CA frequency in blood lymphocytes from users of biomass-fuels in comparison to lymphocytes from LPG users (used as a reference population). The relative MN and CA frequencies for the users of the various fuels decreased in the order cowdung > cowdung/wood ≥ wood > kerosene ≥ LPG. Further, the results indicated an effect of subject age, and the duration of exposure on the MN and CA frequencies in biomass fuel users. Age had no significant effects on the genotoxicity responses in subjects with ≤10 years of exposure to either biomass fuels or LPG, but in subjects using biomass fuels for >10 years, CA and MN frequencies were higher in older individuals (>30 years of age) than younger subjects. Regardless of age, subjects burning biomass fuels had higher MN and CA frequencies than LPG users only when exposures were of at least 5 years duration. These results indicate that burning biomass-based fuels increases the frequency of cytogenetic alterations in blood lymphocytes of exposed populations, possibly because of exposure to the various noxious gases and toxic substances present in biomass fuels. These cytogenetic markers could be used in the field to assess the genotoxic consequences of burning various cooking fuels and for early detection of genetic abnormalities in people exposed to various pollutants and toxicants. Environ. Mol. Mutagen. 43:243–249, 2004. © 2004 Wiley-Liss, Inc.

A longitudinal flight dynamic study of a low mass moment of inertia vehicle is presented. Aerodynamic and stability derivatives of a flying-wing microaerial vehicle (FWMAV) were obtained through detailed subsonic wind tunnel tests at a Reynolds Number of 1.87 × 105. Rate and acceleration derivatives were obtained using the potential flow solver, Tornado®. A novel methodology for the estimation of dimensional derivatives is proposed, and results are compared with the conventional linear time-invariant systems (LTI) approach. Free response for natural frequency, damping coefficient, and time constant as well as forced response upon a unit step and a unit impulse elevon input has been calculated and analyzed. The proposed methodology predicted two pairs of complex conjugates for the longitudinal flight up to a pitch angle of 89° whereas the conventional methodology predicted the same up to 57°. Longitudinal modes sensitivity in terms of stability with the variation of mass, velocity, and pitch angle has also been analyzed. The flying-wing microaerial vehicle was able to sustain straight and level flight during flight trials; however, higher frequencies of phugoid and short period modes were observed. These high frequencies were the consequence of large magnitude of Za/Uo(ratio of Z-force derivative with the angle of attack and cruise velocity) and Zu/Uo(ratio of Z-force derivative with the axial velocity and cruise velocity). It is concluded that the proposed methodology presented a more realistic representation of longitudinal flight modes since classical flight modes are captured till 89° which conventional LTI methodology failed to do so.

Preventing hospital-acquired pressure injuries (PI) in critically ill patients remains a significant clinical challenge because of its associated high risk for comorbid conditions. We assessed the preventive effectiveness of silicone dressings among patients admitted in intensive care units and non-intensive care units settings.

The Indian subcontinent is a southern area of Asia continent which includes India, Bangladesh, Pakistan, Nepal, Bhutan, Maldives, and Sri Lanka. In the different periods, different rulers had ruled in these territories such as the Sultanate period (1206-1526) and Mughal period (1526-1540, 1555-1857). In addition, various ancient and heritage structure patterns show the different historical and religious characteristics of the old civilizations. This research presents a computational method for identifying the construction period or era of old heritage building by using feature detection. We have done this experiment for the application aspect, where the tour guide is not available this application will help the tourists for knowing the construction period or era by detecting the features of old spectacular architecture. In this study, we have focused on the constructional characteristics of old architectural sites by using Canny Edge Detector method. After using the Canny Edge Detector method, we have categorized different types of features among the buildings such as Dome, Minaret or Tower, Ratna, and Front. The different eras old structure contains different characteristics of the Dome, Minaret or Tower, Ratna, and Front. Finally, we have developed a neural network based model which can identify the building's construction era of the Sultanate period and Mughal period.