Miracle-dz/UniFAR-FTUs huggingface dataset:
Porous Polymeric Carrier System for Modified Drug Releaseof Boswellic Acid

Microsponges being the polymeric drug delivery systems consist of porous microspheres that can entrap a wide range of active ingredients. Boswellic acid is a pentacyclic triterpenoid having anti-inflammatory, anti-hypertensive, anti-cancer activities. The aim of the study was to develop, characterize and formulate microsponge delivery for topical application. The Microsponges were prepared by quasi emulsion solvent diffusion method using QbD approach. Drug excipient compatibility study was carried out by FT-IR, DSC and XRD. The prepared Microsponges were further evaluated for its physicochemical properties by scanning electron microscopy (SEM), photomicroscopy, transmission electron microscopy (TEM), particle size, zeta potential, and porosity analysis. The optimized Microsponges were incorporated into gel base formulation and evaluated for in-vitro drug release, dissolution studies and ex-vivo permeability studies. Further, microsponge formulations, subjected for animal studies for skin irritation test and clinical efficacy. The present study confirmed the formation of Microsponges of Boswellic acid. It also proves the sustained release of drug through microsponge formation.
Preparation, Characterization and Influential Parameters of ZnO Nanoparticles Synthesized by Precipitation Method

ZnO nanoparticles were synthesized by a precipitation method with Zn(NO3)2·6H2O as the starting material and Na2CO3 as the precipitant. When the concentration of the reactants reduced from 2.0 to 0.5mol·L-1, the particle size hardly changed but the agglomeration was weaker. TG-DSC curves of the precursor show that the precursor decomposes at about 253℃. XRD pattern of the powder indicates that the hexagonal wurtzite ZnO nanocrystals can be obtained when the precursor calcinated at 300℃for 2h. TEM micrographs show that the ZnO nanoparticles are well dispersed and the average particle size is 15-20nm. The specific surface area of the obtained powder is 64.12m2·g-1. There is no obvious difference whether to wash the precipitate by distilled water or ammonia before to wash by ethanol.
RP-HPLC Method for Development and Validation of Dasatinib in Bulk, Tablets Applied in Nano suspension, Drug Entrapment Efficiency and Serum

A simple, precise, accurate and robust RP-HPLC method was developed and validated for the determination of dasatinib in bulk and its Tablets, Nano-suspension drug entrapment efficiency and serum. The software used is EZ Chrome and the column employed is Syncronis C18 (250 mm × 4.6 mm, 5 μm particle size). Acetonitrile: Methanol: water 45:35:20 (v/v) was used as mobile phase at a flow rate of 1 mL min with UV detection at 325 nm. Linearity was observed in the concentration range of 1–6 μg mL with regression equation y =40966x-6534(R = 0.999). The Nanosuspension prepared by novel precipitation-combined ultra-sonic homogenization technique and was then characterized by using particle size analysis, zeta potential measurement. Liquidliquid extraction is performed for isolation of the drug and elimination of serum interferences samples of serum was extracted with 50μL of ortho phosphoric acid and 3ml of methanol was added and spiked with dasatinib. The method was validated as per ICH guidelines. The RSD for intra-day (99.2) and inter-day (98.3) precision were found to be less than 2 %. The developed method is simple, precise and robust for the determination of dasatinib in bulk and applied to tablets, Nano-suspension, drug entrapment efficiency and serum.
Hybrid CMOS/Nanoelectronic Circuits: Opportunities and Challenges

This is a concise review of the recent work on devices, circuits and architectures for possible hybrid semiconductor/nanodevice integrated circuits based on nanowire crossbars, with similar, simple, two-terminal devices formed at each crosspoint. Special attention is given to the so-called "CMOL' variety of the hybrids, in which the crossbar is connected to the underlying CMOS circuit, using an area-distributed, pin-based interface. Recent detailed studies have shown that digital hybrid circuits may extend the Moore's Law progress of integrated circuits for 10 to 15 years. Even more impressive, mixed-signal neuromorphic networks ("CrossNets") may provide unparalleled performance for some important information processing tasks, and in future may become the first hardware basis for challenging the mammal cerebral cortex in density, far exceeding it in speed, at manageable power consumption. Recently, the hybrid circuit concept received a strong boost from the experimental demonstrations of reproducible crosspoint devices (latching switches) based on amorphous silicon and metal oxides, and of nanowire crossbars with 15-nm-scale half-pitch. However, CMOL technology still faces several significant challenges, briefly discussed in the last section.
Digital Futures: Aesthetic Stability and the Fictional Infrastructure of Hyderabad's Special Economic Zones

Abstract:In Hyderabad, digital videos help produce a “fictional infrastructure” for Special Economic Zones (SEZs). Expanding the concept of “infrastructure as spectacle” to encompass projections of unbuilt and even purely imaginary infrastructures, this article examines how digital online videos and 3D computer-generated imagery (CGI), are the standard means of representing future infrastructures and promoting new developments in the Indian IT sector. Building on Gilbert Simondon's view on “beauty,” I suggest that the aesthetic stability necessary for a technology to operate can also be supported by its fictional creation as something imagined and futural. The videos analyzed here create the aesthetic stability necessary for future infrastructures in Hyderabad's SEZs: the feelings of comfort, safety, cleanliness, efficiency, predictability, and integration sought after by potential investors and workers.
Application of cellular and artificial membranes in nanomedicine

The use of nanoparticles in treatment and diagnostics of a number of disorders is becoming more and more popular. Further investigations are needed for improving the specificity of nanoparticle action, precisely targeted drug delivery, decreasing opsonization of nanoparticles by macrophages. Numerous ways of nanoparticle surface modification have been successfully tested for increasing their therapeutic potential and reducing possible side effects. Nanoparticle encapsulation using plasma membranes of red blood cells as well as other cell types has been recently introduced. This field of translational medicine substantially expands opportunities for nanoparticle application in clinical diagnostics and therapy of cancer, cardiovascular diseases, in vaccine development etc. This review focuses on ways, advantages and disadvantages of using cellular membranes in nanomedicine. Application of artificial lipid membranesin nanoparticles encapsulation is proposed.
Planning and Optimization in Manufacturing by Statistical Approach: A Review

Manufacturing processes are very much essential to transform the raw material into useful product. These manufacturing processes are associated with numerous input parameters. The cost of operating these equipments is also high. The main aim of the manufacturing engineers is to increase the productivity and quality economically. Therefore, one of best options is to optimize the process parameters of the manufacturing processes. There are number of optimization techniques and each optimization technique consist of number of experiments. In each experiment, a significant time and resources are used. Thus, a Design of Experiment (DoE) is required to reduce the number of experiments without loosing its accuracy. In the present paper, the DoE by Taguchi and Response Surface Methodology (RSM) is discussed. In addition of this, the optimization by different statistical optimization techniques are also explained. The procedure to select the DoE and optimize the process parameters is also discussed. Subsequently, the procedure to implement multi-response optimization techniques like desirability, Grey Relational Analysis (GRA), Multi-objective optimization on the basis of Ratio Analysis (MOORA), Technique for order preference by similarity to ideal solution (TOPSIS) are also explained. In the end of this review, an overview regarding the artificial intelligence (AI) and multi-criteria decision making (MCDM) approach in concern with the manufacturing process are also studied.
Securities Lending and Trading by Active and Passive Funds

I study the market for lending and borrowing securities in the United States. I find that by making securities available for borrowing, mutual funds acquire information about short selling, which they exploit for trading. Funds with discretion in their investment choices rebalance their portfolios away from borrowed stocks, avoiding capital losses on stocks with decreasing prices. Funds also trade more aggressively on stocks with stronger signals. Finally, active funds charge lower lending fees than passive funds, consistent with funds paying for the information with lower fees.
Efficient Data Collection in IoT Networks Using Trajectory Encoded With Geometric Shapes

The mobile edge computing (MEC) paradigm changes the role of edge devices from data producers and requesters to data consumers and processors. MEC mitigates the bandwidth limitation between the edge server and the remote cloud by directly processing the large amount of data locally generated by the network of the internet of things (IoT) at the edge. An efficient data-gathering scheme is crucial for providing quality of service (QoS) within MEC. To reduce redundant data transmission, this paper proposes a data collection scheme that only gathers the necessary data from IoT devices (like wireless sensors) along a trajectory. Instead of using and transmitting location information (which may leak the location anonymity), a virtual coordinate system called “distance vector of hops to anchors” (DV-Hop) is used. The proposed trajectory encoding algorithm uses ellipse and hyperbola constraints to encode the position of interest (POI) and the trajectory route to the POI. Sensors make routing decisions only based on the geometric constraints and the DV-Hop information, both of which are stored in their memory. Also, the proposed scheme can work in heterogeneous networks (with different radio ranges) where each sensor can calculate the average one-hop distance within the POI dynamically. The proposed DV-Hop updating algorithm enables the users to collect data in an IoT network with mobile nodes. The experiments show that in heterogeneous IoT networks, the proposed data collection scheme outperforms two other state-of-the-art topology-based routing protocols, called ring routing, and nested ring. The results also show that the proposed scheme has better latency, reliability, coverage, energy usage, and provide location privacy compared to state-of-the-art schemes.
The first discovery of the “Pheidole quadricuspis group” in the Indo-Chinese Peninsula (Insecta: Hymenoptera: Formicidae: Myrmicinae)

Pheidole leloi is described as a new species based on a colony series collected in an evergreen forest on the Da Lat Plateau's eastern edge (Hon Ba Nature Reserve, Khanh Hoa Province, Vietnam). It is the first discovery of the Pheidole quadricuspis group in the Indo-Chinese Peninsula. The p-distance between COI sequences of P. leloi and its putative named allies of the species group is 13.4-15.8%. This may indicate that P. leloi has been genetically isolated for several million years. An ancestor of P. leloi probably expanded its distribution into the Indo-Chinese peninsula during the Miocene expansions of rainforests, and survived into rainforest patches (refugia) during the Quaternary glacial age.
BOOSTING LOGISTICS IN INDONESIA AND VIETNAM THROUGH STAGED DEVELOPMENT OF THE SINGLE WINDOW SYSTEM: A GOVERNMENT INNOVATION

In the implementation of international trade, trade facilitation is a basic element to be developed in order to produce better performance in the trade administration process. National Single Window is a technology that has become a trend in recent decades, notably in ASEAN. This research aims to explain the staged development process of the National Single Window in Indonesia and Vietnam. This research serves as evaluation material for ASEAN member countries, to understand the importance of trade facilitation and continuous innovation to facilitate the administrative process for international trade. The methodology used in this research is a systematic literature review, which involves planning, conducting, reporting, and drawing conclusions from all available evidence. Generally, the successful implementation of the National Single Window is supported by factors in the development process. The supporting factors are political support, legal framework, and technological readiness.
Strained silicon and silicon-germanium quantum devices by chemical vapor deposition

Strained SiGe band-to-band tunneling (BTBT) devices and strained Si two-dimensional electron gases (2DEGs) are promising for low-power and quantum computing applications. The objective of this dissertation is to pursue the fundamental understanding of BTBT in strained SiGe films and electron transport properties in strained Si. We report the first quantitative study of BTBT in strained p+-SiGe/n+-Si heterojunctions and p + -SiGe/n + -SiGe homojunctions at forward and reverse biases. Negative differential resistance (NDR) at forward bias is clearly observed for each device, with the highest observed peak current density of 10 4 A/cm 2 . In reverse bias, a BTBT current density of 10 6 A/cm 2 is measured and a model comparison with good agreement is also presented. Furthermore, we demonstrate that the precise modeling of reverse-biased BTBT devices requires the observation of NDR in forward bias. The surface segregation of phosphorus in relaxed SiGe films is studied with an extremely sharp phosphorus turn-off slope of 6 nm/decade reported. This enables effective Schottky gating on a depletion-mode device of a Si two-dimensional electron gas (2DEG). We also investigate the effect of surface hydrogen on phosphorus segregation. A phenomenological model for this segregation is proposed to explain the experimental results with good agreement. A 2DEG with a record high mobility of 522,000 cm 2 /V-s in an isotopically enriched 28 Si quantum well is presented. The estimated electron dephasing time of ~ 2 μs is presented. We investigate the effects of different layers in a Si 2DEG structure on electron mobility and conclude that the remote impurity charges are the dominant source for electron scattering. The reduced segregation of phosphorus enables an inverted modulation-doped Si 2DEG with extremely high mobility of 470,000 cm 2 /V-s. For the first time second subband occupancy was achieved in a Si quantum well.
Degree Duration among Undergraduate Students with Disabilities

Students with disabilities are an underrepresented group that often experience several barriers that can impede or prevent them from obtaining a college degree. Additionally, prior studies indicate that the longer it takes a student to finish degree requirements, the less likely they are to graduate. Thus, indicating it is imperative to analyze degree duration among students with disabilities. The purpose of this study is to determine if students with disabilities take longer to graduate than other student demographics. Using the 2015 wave from the Baccalaureate and beyond dataset, chi-square testing and a linear regression were applied in order to determine variables that influenced the number of months it took students to complete degree requirements for their bachelor’s degree. In order to focus on students with disabilities, disability status was used as a moderating variable in the linear regression. The findings demonstrated that despite the accommodations students with disabilities receive; they are still taking longer to graduate than all other student groups. The study concluded that having a disability resulted in a longer degree duration time in comparison to other student demographics.
An Accelerated VLSI Approach for K-Means Clustering Algorithm for the application of Microarray Data Analysis

This paper proposed a parallel and pipelined architecture for faster execution of k-means clustering algorithm for microarray data analysis. This is verified by calculating the computational time of algorithm when run on XILINX ISE 14.4 and MATLAB. The computational time taken by MATLAB simulation it is 14.2390ms while for VLSI simulation is found to be 0.0754ms hence VLSI simulation is 188 times faster than MATLAB Simulation. Also, computational time of proposed work which is 0.0754 ms, is compared with the previous work time which is 0.5891 ms and it is found that proposed work is 7 times faster than previous work.
Synthesis of Superparamagnetic Colloidal Nanochains as Magnetic-Responsive Bragg Reflectors

Superparamagnetic colloidal nanochains (CNCs) coated and linked by carbon were prepared by solvothermal decomposition of ferrocene at a temperature of 180−200 °C with a 0.20 T magnetic-field applied. It is demonstrated that CNCs with different intraparticle spaces (216, 186, and 173 nm) can be obtained by changing the reaction temperature. Under the induction of an external magnetic field (e.g., 0.10 T), the ethanol suspension of the three samples can diffract different wavelengths of visible light, displaying red, green, and blue color, respectively. The three samples did not show the dependence of the diffraction wavelength on the strength of induction magnetic field, which indicates that the superparamagnetic CNCs can be used as magnetic-responsive Bragg reflectors.
Molecular characterization and genetic diversity of different rice (Oryza sativa L.) genotypes for salt tolerance

The present study involved evaluation of 12 genotypes of rice under control salt and field conditions. The characters studied were days to 50% flowering, plant height (cm), panicles bearing tillers/plant, spikelets/panicle, grains/panicle, panicle length, spikelet fertility (%), test weight (g), biological yield/plant (g), harvest index (%), and grain yield/plant (g). After 7 days of salinisation, all the genotypes viz., IR68144-2B-2-2-3-1-120, IR-68144-2B-2-2-3-1-127, IR-91167-99-1-1-1-3, IR-91167-133-1-1-2-3, NUD-3, NDR-359, IR-28, FL-478, NUD-2, CSR-13, Ayyar and NDRK-2008 were salinity tolerance. After 14 days of salinisation, FL-478 were tolerant, while IR68144-2B-2-2-3-1-120, IR-68144-2B-2-2-3-1-127, IR-91167-133-1-1-2-3, NUD-3, NUD-2 and CSR-13 were moderately tolerant genotypes and NDR-359 were susceptible genotype. After 21 days of salinisation, FL-478 were tolerant genotype, while IR-91167-99-1-1-1-3, NUD-3, NUD-2, CSR-13 and NDRK-2008 were moderately tolerant genotypes and genotypes IR68144-2B-2-2-3-1-120, IR-68144-2B-2-2-3-1-127, IR-91167-133-1-1-2-3, NDR-359, IR-28 and Ayyar were susceptible genotype. Under salinity condition at reproductive stages of rice genotypes Ayyar followed by showed highly tolerant to salinity at reproductive stage. The genotype NUD-3, NDRK-2008 and IR-91167-99-1-1-1-3 exhibited highly susceptible to salinity at reproductive stage. The higher magnitude of positive direct effect on grain yield/plant exerted by biological yield/plant and harvest index under control condition, under saline condition biological yield/plant followed by harvest index and spikelets/panicle showed positive and direct effect on grain yield/plant. Under field condition positive and direct effect on grain yield exerted by biological yield/plant followed by harvest index, spikelets/panicle and spikelet fertility. In the present study, the 12 genotypes of rice were grouped into four different non-overlapping clusters under saline, field and control conditions. The highest intra cluster distance was recorded for cluster IV under controlled condition, cluster II under saline condition and cluster III under field condition. Under controlled condition highest inter cluster distance recorded in cluster II and cluster IV. Under saline condition, cluster II and cluster III had highest inter cluster distance. Under field condition, the highest inter cluster distance recorded in cluster I and cluster IV. RM 10772 exhibited polymorphism in 12 rice genotypes, while RM10745 exhibited Monomorphism in 12 rice genotypes.
Structural Elucidation of SARS-CoV-2 Vital Proteins: Computational Methods Reveal Potential Drug Candidates Against Main Protease, Nsp12 RNA-dependent RNA Polymerase and Nsp13 Helicase

The recently emerged severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a major outbreak of coronavirus disease 2019 (COVID-19) and instigated a widespread fear and has threatened global health security. Although phenomenal efforts are in progress to effectively combat this COVID-19 outbreak. Still, no licensed antiviral drugs or vaccines are available, and treatment is limited to supportive care and few repurposed drugs. In this urgency situation, computational drug discovery methods provide both an alternative and a supplement to tiresome high-throughput screening, particularly in the hit-to-lead-optimization stage. Identification of small molecules that specifically target viral replication apparatus has shown the most successful strategy in antiviral drug discovery. The present study deals with the identification of potential compounds that specifically interact with SARS-CoV-2 vital proteins, including main protease (Mpro), Nsp12 RNA-dependent-RNA-polymerase (RdRp) and Nsp13 helicase. A constructive and integrated virtual screening efforts together with molecular dynamics simulations identified potential binding modes and favourable molecular interaction profile of corresponding compounds. Moreover, structurally important binding site residues in conserved motifs located inside the active site are elucidated, which displayed relative importance in ligand binding based on residual energy decomposition analysis. Although the current study lacks experimental validation, the structural information obtained from this computational study paved the way to identify and design specific targeted inhibitors to combat COVID-19 outbreak.
Incorporation of Cd 1-x Mg x Te as an Electron Reflector for Cadmium Telluride Photovoltaic Cells

The addition of a CdMgTe (CMT) layer at the back of a CdTe solar cell should improve its performance by reflecting both photoelectrons and forward-current electrons away from the rear surface. Higher collection of photoelectrons will increase the cell’s current, and reduction of forward current will increase its voltage. To achieve electron reflection, conformal CMT layers were deposited at the back of CdTe cells, and a variety of measurements including performance curves, transmission electron microscopy, x-ray photoelectron spectroscopy, and energy-dispersive x-ray spectroscopy were performed. Oxidation of magnesium in the CMT layer was addressed by adding a CdTe capping layer. MgCl 2 passivation was substituted for CdCl 2 in some cases, but little difference was seen.