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In this paper, the evaluation of the sentiments in the present technological age over the reviews of online products is performed , online products are used by the majority of people. They provide their feedback and then products are recommended for purchase and sale on that factor too. The large e-commerce platforms such as Flipkart, Myntra, Amazon, and many others enable their users to review the Products. To buy a commodity, the consumer will examine to have a better-quality understanding of the product and product work. The interpretation will be a really simple product polarized into positive, neutral, and negative Product checks. It may use machine learning methods to perform this experiment. Sentiment Analysis is research in which consumers are conscious of a product reaction. A Kaggle of amazon product reviews gathers the data collection used. It uses various Logistic Regression, Naive Bayes, and Random Forest methodology for classifying feedback and achieving the best of precision. Among all the algorithms used it finds that the Random forest machine learning algorithm to be the most accurate.

The invention resides within the field of treatment of hydrocarbon fuels in liquid or gaseous form, to extend the fuelburning efficiency, by exposing the fuel in containment vessels or conduits to a shaped uniform field of force with a relentless directional flux. Hydrocarbon fuels have long branched geometric chains of carbon atoms which tend to fold over onto themselves and on adjoining molecules because of inter molecular electromagnetic attraction existing between like molecules or atoms. It is vital to grasp that in a very fluid that's subjected to an external field the electron excitation (magnetic moment) occurring, affects molecular orientation. because the axis of the electrons become aligned with the external magnetic flux, the momentum of the molecule not averages intent on zero, as within the normal case in molecules not possessing permanent dipole moments. This accommodation is attributed to the very fact that on the molecular level, a spinning electron subjected to an accurate amount of electromagnetic energy will captivate that energy and "spinflip" into an aligned state. When a magnetism is applied, the instant as seen by the electron excitation, causes the molecule to tend to align with the direction of the field of force. The momentum of the molecule not averages dead set zero because the axis of the electrons aligns with the external magnetic flux, because it does in molecules without permanent dipole moments. The fluctuating dipole moments under the influence of the external flux acquire a net attraction, which produces a stronger bonding with an oxygen ion. As a result of the complex fuel, molecules tend to uncluster, straighten and produce higher combustion efficiencies. the rise in combustion efficiency is because of the unfolding of the hydrocarbon molecules which produce an increased extent for more complete oxidation of the fuel. The unfolding of the fuel molecules is that the major effect of the dipole being off from its neutral state by the applied field of force. Increased combustion yields increased fuel efficiency, with lower hydrocarbon emissions from hydrocarbon-based fuelburning apparatus. However, certain problems remain to be overcome, like whether to focus the force field con or directional alignment, determine flux strength, select appropriate magnetic materials and determine mounting arrangements for the best efficiency. The effect is to stop scaling from occurring on the inner walls of the conduit from the liquid flowing there through by forcing the molecules which might attach themselves to the inner walls of the conduit toward the middle of the conduit. Keywords: The magnetic effect, Combustion, Emissions, paramagnetic, diamagnetic, aligns & orientation, efficiency

The Health Insurance Portability and Accountability Act (HIPAA) has radically changed the way healthcare is conducted, and its relevance continues to expand as healthcare technology evolves. This article describes a method for training inexperienced undergraduate students to become HIPAA-compliant clinical research volunteers in a pediatric traumatic brain injury (TBI) study. Volunteers are trained to use the hospital's electronic health records (EHR) system to identify potential study candidates for approach, and they develop this skill set through google classroom modules/quizzes along with routine zoom calls to solidify their consenting approach. Since the inception of this study in 2018, there have been over one hundred different undergraduate research volunteers involved, and there has not been a single HIPAA violation to date. This compliance success rate is indicative of the efficacy of this training protocol. This paper serves as a guide to implementing HIPAA compliance training and ensuring accountability in new and existing clinical research studies.

Graphene-based 2D nanomaterials are gaining much interest in energy storage systems, specifically in ultracapacitors. Various electrolytes increase the performance of ultracapacitor (UC), Li-Ion capacitor (LIC), and Li-Ion battery (LIB). In the present work, we have successfully designed a "three-in-one" artificial method to engineer anode from a single precursor for high-performance UC, LIC, and LIB. In the present investigation, graphene oxide (GO) slurry was developed using the modified Hummers’ method. The effect of KOH, H2SO4, and KCl electrolytes on electrochemical performance of UC was demonstrated. The LiPF6 organic electrolyte solution on electrochemical performance of LIC and LIB is demonstrated. The GO deposited on stainless steel electrode achieved its highest specific capacitance of 422 F/g, energy density of 45.50 kWh/kg, and power density of 10,000 W/kg in 3.0 M in KCl, whereas GO as an anode material delivered a first discharge capacity of 456 mAh/g at 0.05 A/g current density with the efficiency of 100%.

Continuous manufacturing is an indicator of a maturing industry, as can be seen by the example of the petrochemical industry. Patent expiry promotes a price competition between manufacturing companies, and more efficient and cheaper processes are needed to achieve lower production costs. Over the last decade, continuous biomanufacturing has had significant breakthroughs, with regulatory agencies encouraging the industry to implement this processing mode. Process development is resource and time consuming and, although it is increasingly becoming less expensive and faster through high‐throughput process development (HTPD) implementation, reliable HTPD technology for integrated and continuous biomanufacturing is still lacking and is considered to be an emerging field. Therefore, this paper aims to illustrate the major gaps in HTPD and to discuss the major needs and possible solutions to achieve an end‐to‐end Integrated Continuous Biomanufacturing, as discussed in the context of the 2019 Integrated Continuous Biomanufacturing conference. The current HTPD state‐of‐the‐art for several unit operations is discussed, as well as the emerging technologies which will expedite a shift to continuous biomanufacturing., With an ever‐growing interest in shifting to integrated continuous biomanufacturing (ICB), the major gaps and state‐of‐the‐art perceived by academia and industry members in high‐throughput process development (HTPD) technologies for the development and implementation of this type of operation (ICB) are debated in this paper, with a special focus on the HT tools for the different unit operations in a typical biopharmaceutical process. The current needs in ICB and possible solutions to fulfill these needs are also highlighted

Silicon anodes are considered as promising electrode materials for next-generation high-capacity lithium-ion batteries (LIBs). However, the capacity fading due to the large volume changes (∼300%) of silicon particles during the charge−discharge cycles is still a bottleneck. The volume changes of silicon lead to a fracture of the silicon particles, resulting in the recurrent formation of a solid electrolyte interface (SEI) layer, leading to poor capacity retention and short cycle life. Nanometer-scaled silicon particles are the favorable anode material to reduce some of the problems related to the volume changes, but problems related to SEI layer formation still need to be addressed. Herein, we address these issues by developing a composite anode material comprising silicon nanoparticles and nano graphite. The method developed is simple, cost-efficient, and based on an aerogel process. The electrodes produced by this aerogel fabrication route formed a stable SEI layer and showed high specific capacity and improved cyclability even at high current rates. The capacity retentions were 92 and 72% of the initial specific capacity at the 171st and the 500th cycle, respectively.

We report on quantitative determination of the molecular weight distribution (MWD) and grafting density (σP) of polymer assemblies grown by controlled radical polymerization from flat substrates as a function of polymerization time and the ratio between the inhibitor and catalyst species. Specifically, we grow poly(methyl methacrylate) (PMMA) brushes on flat silica-based surfaces by surface-initiated atom transfer radical polymerization (SI-ATRP), cleave the PMMA grafts quantitatively using tetrabutyl ammonium fluoride (TBAF), and analyze their MWD by size exclusion chromatography equipped with a high-sensitivity differential refractive index detector. The polymer growth and degrafting processes are followed by ellipsometry, X-ray photoelectron spectroscopy, and time-of-flight secondary ion mass spectrometry. The σP is independent of polymerization time and increases with increasing SI-ATRP inhibitor/catalyst ratio. Specifically, σP increases from 0.48 ± 0.06 to 0.58 ± 0.06 chains/nm2 as the inhibitor/cat...

Case series Patient: Male, 78 • Male, 65 Final Diagnosis: Bone metastasis from prostate cancer recurrence Symptoms: Joint pain Medication: — Clinical Procedure: — Specialty: Uro-Oncology Objective: Rare presentation Background: Prostate cancer is a common cancer in men. Radical prostatectomy, i.e., the surgical removal of the entire prostate, is a frequently used option. Biochemical recurrence (BCR), i.e., detectable prostate specific antigen (PSA), is common in some men following such treatment. The timing of BCR to metastatic spread of disease in bones is usually a few years. If the biochemical failure occurs after a longer duration from the time of curative intent, it is generally believed to lead to local recurrence. Case Report: We report on two cases. A 78-year-old male was diagnosed with Gleason 7, prostate cancer in 2001. He subsequently underwent an open radical prostatectomy. Serial post-operative PSA’s were undetectable (

We investigate light-induced irreversible structuring of surface topographies in poly(3-sulfopropyl methacrylate/potassium salt) (PSPMK) brushes on flat solid substrates prepared by surface-initiated atom transfer radical polymerization. The brushes have been loaded with azobenzene-based surfactant comprised of positively charged headgroups and hydrophobic tail. The surfactant exhibits photoresponsive properties through photoisomerization from the trans to cis states leading to significant changes in physicochemical properties of grafted polymer chains. The azobenzene surfactant enables photoresponsive behavior without introducing irreversible changes to chemical composition of the parent polymer brush. Exposing these photosensitive brushes to irradiation with UV interference beams causes the polymer brush to form surface relief grating (SRG) patterns. The cationic surfactant penetrates only similar to 25% of the upper portion of the PSPMK brush, resulting in the formation of two sections within the brush: a photoresponsive upper layer and nonfunctional buried layer, which is not affected by the UV irradiation. Using nano-FTIR spectroscopy, we characterize locally the chemical composition of the polymer brush and confirm partial penetration of the surfactant within the film. Strong optomechanical stresses take place only within the upper layer of the brush that is impregnated with the surfactants and causes surface topography alternation due to a local rupture of grafted polymer chains. The cleaved polymer chains are then removed from the surface by using a good solvent, leaving behind topographical grating on top of the nonfunctional brush layer. We demonstrate that photostructured polymer brush can be used for reversible switching of brush topography by varying external humidity.

Nowadays the position of natural fibers in the world fiber is stable, growing in the area of their application, not only in textiles but also in more eco-friendly composites. This work is focused on study of the effect of SiC as filler material on the banana peduncle/Carbon fibers reinforced hybrid composites. Four different laminates are fabricated by varying the matrix composition (BP, BP+SiC, carbon+BP, Carbon+BP+SiC ). The alkaline treatment with 6% NaoH of the BP fibers improves the specific strength and binding properties. The filler added composites laminates shows higher mechanical properties. From the results, it is seen that mechanical properties like Tensile, Flexural, ILSS, Impact and hardness are improved by 89, 75, 99, 68 and 64% by the addition of the SiC to the banana peduncle/Carbon fiber composite laminate.

There has been increasing momentum recently in the biopharmaceutical industry to transition from traditional batch processes to next-generation integrated and continuous biomanufacturing. This transition from batch to continuous is expected to offer several advantages which, taken together, could significantly improve access to biologics drugs for patients. Despite this recent momentum, there has not been a commercial implementation of a continuous bioprocess reported in the literature. In this study, we describe a successful pilot-scale proof-of-concept demonstration of an end-to-end integrated and continuous bioprocess for the production of a monoclonal antibody (mAb). This process incorporated all of the key unit operations found in a typical mAb production process, including the final steps of virus removal filtration, ultrafiltration, diafiltration, and formulation. The end-to-end integrated process was operated for a total of 25 days and produced a total of 4.9 kg (200 g/day or 2 g/L BRX/day) of the drug substance from a 100-L perfusion bioreactor (BRX) with acceptable product quality and minimal operator intervention. This successful proof-of-concept demonstrates that end-to-end integrated continuous bioprocessing is achievable with current technologies and represents an important step toward the realization of a commercial integrated and continuous bioprocessing process.

Ultrasound image acquisition is often not repeatable with dependency on the skill of the operator to both acquire and optimize ultrasound images. Beyond arriving at the right scan planes, the user has to optimize a series of acquisition parameters like the frequency, depth, gain, TGC etc to obtain the optimal image. While varying acquisition parameters leads to varying image quality and clinical acceptability, image quality in ultrasound is very subjective and thus the choice of optimal image is often limited to the preference of the user. In this paper, we present an AI assisted feedback system to optimize ultrasound acquisition parameters. We also present a generic methodology for ‘Ultrasound Image Quality’ computation mimicking experts' way of reading u/s images. We demonstrate this system to optimize two transmit parameters, namely frequency and depth on 4 chamber cardiac Ultrasound view images. We show that in >80% of unseen cardiac acquisitions, the proposed system is able to automatically select the optimal parameters, maximizing image quality.

Automation is increasing rapidly, and intelligence in applications emerges as a new form of automation. The impact of automation is observed in the software, hardware, and machine layer. Due to automation, human intervention is reduced in a number of areas such as manufacturing, transport, utilities, defense, facilities, operations and lately, information technology. With this view in mind, we have developed library system for renewal and submission of books. To develop this system, we have used a microcontroller, a barcode scanner, and conveyor. First, we developed graphical user interface with MATLAB and then with LabVIEW for this system. Developed library system allows students to renew and submit in 24/7 basis.

The Stock Market is one of the most rapidly emerging markets in the country as the participation of retail investors has increased significantly in this pandemic.Since there are no specific rules to compute or predict the price of a stock, it becomes very difficult for the first-time investors to invest in the share market. Methodologies such as technical analysis, fundamental analysis, time series analysis, and statistical analysis, etc. are all used to estimate the price of the stocks but since stocks being volatile in nature, none of these methods are proved as a consistent tool to predict the upcoming trends. Machine learning and statistics can be used to predict and reduce the risk factor of loosing money. Apart from predicting future price trends based on the historical data of the company, the web app also show’s various decision making factors and fundamental indicators for providing multiple options to users for consideration while making a call. With the help of statistical analysis, the relation between the selected factors and share price is formulated for computing better results. Using facebook Prophet without any hyperparameter’s forecast for particular stocks are made. These result’s are evaluated by comparing with other models like Last value and prophet with hyperparameter tuning.

Polymer degrafting is a process in which surface-attached polymer brushes are removed from the substrate by breaking a chemical bond in proximity to the substrate. This paper provides insight into ...

Surface-bound wettability gradients allow for a high-throughput approach to evaluate surface interactions for many biological and chemical processes. Here we describe the fabrication of surface wettability gradients on flat surfaces by a simple, two-step procedure that permits precise tuning of the gradient profile. This process involves the deposition of homogeneous silane SAMs followed by the formation of a surface coverage gradient through the selective removal of silanes from the substrate. Removal of silanes from the surface is achieved by using tetrabutylammonium fluoride which selectively cleaves the Si-O bonds at the headgroup of the silane. The kinetics of degrafting has been modeled by using a series of first order rate equations, based on the number of attachment points broken to remove a silane from the surface. Degrafting of monofunctional silanes exhibits a single exponential decay in surface coverage; however, there is a delay in degrafting of trifunctional silanes due to the presence of multiple attachment points. The effects of degrafting temperature and time are examined in detail and demonstrate the ability to reliably and precisely control the gradient profile on the surface. We observe a relatively homogeneous coverage of silane (i.e., without the presence of islands or holes) throughout the degrafting process, providing a much more uniform surface when compared to additive approaches of gradient formation. Linear gradients were formed on the substrates to demonstrate the reproducibility and tuneability of this subtractive approach.

To increase the energy storage density of lithium-ion batteries, silicon anodes have been explored due to their high capacity. One of the main challenges for silicon anodes are large volume variations during the lithiation processes. Recently, several high-performance schemes have been demonstrated with increased life cycles utilizing nanomaterials such as nanoparticles, nanowires, and thin films. However, a method that allows the large-scale production of silicon anodes remains to be demonstrated. Herein, we address this question by suggesting new scalable nanomaterial-based anodes. Si nanoparticles were grown on nanographite flakes by aerogel fabrication route from Si powder and nanographite mixture using polyvinyl alcohol (PVA). This silicon-nanographite aerogel electrode has stable specific capacity even at high current rates and exhibit good cyclic stability. The specific capacity is 455 mAh g−1 for 200th cycles with a coulombic efficiency of 97% at a current density 100 mA g−1.

NiMn2O4 (NMO) is a good alternative anode material for lithium-ion battery (LIB) application, due to its superior electrochemical activity. Current research shows that synthesis of NMO via citric acid-based combustion method envisaged application in the LIB, due to its good reversibility and rate performance. Phase purity and crystallinity of the material is controlled by calcination at different temperatures, and its structural properties are investigated by X-ray diffraction (XRD). Composition and oxidation state of NMO are further investigated by X-ray photoelectron spectroscopy (XPS). For LIB application, lithiation delithiation potential and phase transformation of NMO are studied by cyclic voltammetry curve. As an anode material, initially, the average discharge capacity delivered by NMO is 983 mA center dot h/g at 0.1 A/g. In addition, the NMO electrode delivers an average discharge capacity of 223 mA center dot h/g after cell cycled at various current densities up to 10 A/g. These results show the potential applications of NMO electrodes for LIBs.

Graphite is central in almost all commercial Li-ion batteries (LIBs) and possesses attractive physical and chemical properties such as good ionic conductivity and layered graphitic structure. In this communication, we have demonstrated the recycling of graphite from end-of-life LIBs and the re-purposing of the recovered material for positive electrodes in next-generation aluminium-ion-batteries (AIBs). The recovered graphite possesses enlarged interlayer spacing which is shown to effectively boost Al-ion insertion/de-insertion during the charge/discharge processes. Excellent Al-ion storage performance is achieved with the capacity reaching 124 mAh g−1 at 50 mA g−1. The material retained a capacity of 55 mAh g−1 even after the applied current was increased to 500 mA g−1, showing its capability to deliver high rate performance. The charge/discharge cycling further revealed that the graphite retains 81% of its initial capacity even after 6700 cycles at a high rate of 300 mA g−1. This excellent aluminium ion storage performance makes the recovered graphite a promising positive electrode material, providing a possible solution for the recycling of huge amounts of LIB scrap. At the same time, this material aids the development of alternative sustainable battery technology, as an alternative to LIBs.

Infection of Herpes Simplex Virus type 2 (HSV-2) is a lifelong sexually transmitted disease. According to the Center for Disease Control and Prevention (CDC), 11.9% of the United States (U.S.) population was infected with HSV-2 in 2015-2016. The HSV-2 pathogen establishes latent infections in neural cells and can reactivate causing lesions later in life, a strategy that increases pathogenicity and allows the virus to evade the immune system. HSV-2 infections are currently treated by Acyclovir only in the non-constitutional stage, marked by genital skin lesions and ulcers. However, patients in the constitutional stage expressing mild and common (with other diseases) symptoms, such as fever, itching and painful urination, remain difficult to detect and are untreated. In this study, we develop and analyze a mathematical model to study the transmission and control of HSV-2 among the U.S. population between the ages of 15-49 when there are options to treat individuals in different stages of their pathogenicity. In particular, the goals of this work are to study the effect on HSV-2 transmission dynamics and to evaluate and compare the cost-effectiveness of treating HSV-2 infections in both constitutional and non-constitutional stages (new strategy) against the current conventional treatment protocol for treating patients in the non-constitutional stage (current strategy). Our results distinguish model parameter regimes where each of the two treatment strategies can optimize the available resources and consequently gives the long-term reduced cost associated with each treatment and incidence. Moreover, we estimated that the public health cost of HSV-2 with the proposed most cost-effective treatment strategy would increase by approximately 1.63% in 4 years of implementation. However, in the same duration, early treatment via the new strategy will reduce HSV-2 incidence by 42.76% yearly and the reproduction number will decrease to 0.84 from its current estimate of 2.5. Thus, the proposed new strategy will be significantly cost-effective in controlling the transmission of HSV-2 if the strategy is properly implemented.