In today’s rapidly evolving digital landscape, the advantages of innovative solutions in the blockchain, tokenization, and decentralized financing (DeFi) ecosystems is definitely higher than ever. One particular platform that is increasingly gaining attention in these places is TokenTact. A combination of cutting-edge technology, a new deep understanding regarding market needs, plus a modern approach to digital assets, TokenTact is transforming the way we think that about tokenization plus digital assets. This particular blog post may explore what TokenTact is, its important features, how that operates, and exactly why it sticks out seeing that a game-changer in the wonderful world of digital assets.

What is TokenTact?
TokenTact is actually a decentralized platform designed to bridge the space between traditional property classes and typically the rapidly expanding global of blockchain-based tokenization. At its key, TokenTact empowers consumers to create, handle, and trade tokenized assets in some sort of secure, transparent, and even efficient manner. Tokenization refers to the means of converting practical assets, such like real estate, art, commodities, or still intellectual property, into digital tokens that will can be purchased, sold, or bought and sold on the blockchain.

By simply utilizing blockchain technology, TokenTact ensures that every transaction and transfer of assets is usually transparent and safe. This removes the particular need for intermediaries, for example brokers or banks, which generally add unnecessary charges and complexities in order to the process. TokenTact's platform simplifies the creation and supervision of tokenized possessions, making it obtainable to everyone, coming from large corporations in order to individual investors.

Essential Features of TokenTact
Decentralized Asset Tokenization
One of the defining characteristics of TokenTact is usually its decentralized nature. Unlike centralized programs that count on some sort of single entity to handle and oversee purchases, TokenTact operates in a completely decentralized environment. Therefore users can interact with each some other directly without the need for third-party intermediaries. This particular not only reduces costs but furthermore increases transparency plus security by ensuring that all transactions usually are recorded on the blockchain.

TokenTact enables users to tokenize a variety of asset courses, including real house, precious metals, collectors items, and even fairness in companies. By tokenizing these possessions, TokenTact enables fractional ownership, meaning that investors can own a small percentage of an asset instead than being needed to purchase it in full. This particular democratizes access in order to previously exclusive advantage classes and goes into business up new possibilities for diversification found in investment portfolios.

Good Contract Integration
Savvy contracts are self-executing contracts with typically the the agreement directly written into signal. TokenTact leverages wise contracts to automate the complete process regarding tokenization, in the development of tokens to be able to their transfer plus settlement. This motorisation eliminates human problem, reduces fraud, plus ensures that almost all parties involved are bound to the conditions and terms of typically the agreement.

Smart long term contracts also make sure that just about all transactions for the TokenTact platform are translucent and verifiable, which usually helps build trust among users. Once a smart deal is executed, this cannot be modified or tampered together with, offering a high stage of security in addition to accountability.

Enhanced Security
Security is actually a principal concern in the electronic digital asset space, and even TokenTact places a strong emphasis upon safeguarding its users' assets. The system utilizes advanced encryption techniques to guard user data plus transaction details. In addition, TokenTact employs multi-signature wallets and some other security protocols to be able to ensure that resources are stored safely and are only accessible by simply authorized parties.

Typically the blockchain technology behind TokenTact also enhances security by generating it virtually not possible to alter or change transaction records. Given that all transactions are usually upon a community ledger, any attempt to tamper with the system would be immediately detectable.

Usage of Global Markets
The most significant advantages involving TokenTact is it is capability to open way up access to global markets. Traditional expense opportunities, such seeing that real-estate or stocks, in many cases are limited by geographic location, regulating restrictions, and higher entry barriers. However, through tokenization, TokenTact allows investors coming from anywhere in the particular world to reach the wide range regarding asset classes. This kind of global reach allows for greater fluidity, more diverse investment decision opportunities, and a larger pool involving potential investors.

Sectional Ownership and Fluidity
TokenTact's platform allows for fractional possession, meaning that consumers can invest inside a small part of a high-value asset. For example, instead of purchasing a great entire piece involving real estate or even a work of art, an investor can find a fraction associated with the asset found in the form of tokens. This makes it less difficult for smaller shareholders to gain exposure to high-value assets that will otherwise be out of reach.

Furthermore, because the assets are tokenized, they can be traded on various exchanges, improving liquidity and providing investors with typically the flexibility to purchase or sell their assets rapidly. This enhanced liquidity is particularly beneficial in markets which might be traditionally illiquid, for example real estate or even art work.

User-Friendly Program
TokenTact is created to be useful, making certain both novice and experienced shareholders can navigate the platform effortlessly. The particular platform offers a simple, intuitive user interface that guides consumers through the tokenization method step-by-step. Whether you're planning to tokenize an asset, trade as well, or manage your own portfolio, TokenTact provides all the tools you need to do so along with minimal effort.

In addition, TokenTact offers informative resources and support to help users better understand blockchain technology, tokenization, and typically the broader digital advantage ecosystem. https://tokentact.it.com'>https://tokentact.it.com/ will help more affordable the barrier to be able to entry for those who may be unfamiliar together with the complexities involving blockchain and cryptocurrency.

How TokenTact Functions
TokenTact’s process begins using the user picking a property they desire to tokenize. The platform supports a large variety of resource classes, including physical goods, intellectual home, and even service-based businesses. Once the particular asset is determined, TokenTact’s platform generates an unique electronic digital token that signifies a share inside the asset.

This expression is then registered on the blockchain, making sure its transparency and even immutability. Smart contracts prefer facilitate the transfer of tokens between buyers and sellers, automatically carrying out transactions based about pre-established terms. Since https://tokentact.it.com'>https://tokentact.it.com/ will be bought and sold, they are tracked in the blockchain, offering a verifiable and even transparent history associated with ownership.

Investors will then trade their own tokens on the TokenTact marketplace or additional compatible exchanges. The particular use of blockchain makes sure that all dealings are recorded in real-time, providing an accurate and advanced view from the asset's value and control.

Why TokenTact will be a Game-Changer
TokenTact stands out within the crowded field of blockchain platforms due to its focus on providing real-world utility in the digital asset area. While many blockchain projects focus upon cryptocurrencies or DeFi applications, TokenTact’s major goal is to bridge the space between traditional possessions and the decentralized world.

By making it easier in order to tokenize, buy, sell, and trade the wide range of assets, TokenTact supplies a more inclusive and accessible system for investors of levels. The platform’s focus on safety measures, transparency, and ease of use makes it an ideal option for both skilled blockchain users and even those which are new to the area.

Moreover, TokenTact’s capability to create fractional ownership of high-value assets leads to brand new opportunities for wealth-building, especially for those who may not have the capital in order to invest in standard asset classes. This democratization of accessibility is among the key aspects that make TokenTact some sort of true game-changer on the world of digital assets.

TokenTact is poised to revolutionize how all of us think about advantage ownership, investment, and tokenization. By leveraging blockchain technology plus smart contracts, the platform provides a secure, transparent, and decentralized opportinity for users to be able to create, manage, and even trade tokenized resources. Its capability to fractionalize ownership, increase fluidity, and start obtain to global markets makes TokenTact an invaluable tool for investors looking to broaden their portfolios plus explore new options inside the digital age group.

As the entire world continues to embrace the potential for blockchain and even decentralized technologies, programs like TokenTact might play an important part in shaping the future of financial and investment. No matter if you’re an specific investor, an enterprise seeking to tokenize possessions, or someone merely interested in understanding read more about blockchain, TokenTact supplies a comprehensive and even user-friendly platform to be able to help you navigate the digital resource landscape.

The particular world of on the internet gaming is undergoing a seismic shift, driven by the advent of blockchain technology. This innovation is not just a trend; this is redefining exactly how players engage together with casino games. By providing transparency, safety measures, and decentralization, blockchain is enhancing the online casino knowledge in ways that will were previously amazing.



Participants are increasingly drawn to casino on-line platforms that power blockchain to ensure fair play in addition to secure transactions. Together with this technology, customers can verify the outcomes of game titles in real time frame, enhancing trust plus accountability within an industry that has frequently faced scrutiny. Even as explore the intersection of blockchain and even casino game design and style, it becomes very clear that this transformation will be just beginning, promising a future where players feel a lot more empowered and involved than ever prior to.

Being familiar with Blockchain Technological innovation

Blockchain technology is a decentralized digital ledger that records transactions across multiple computers in a way that the registered transactions cannot be altered retroactively. This guarantees if you are an00 of protection and transparency, generating it an excellent basis for various applications, including s. By simply utilizing a circle of computers, or even nodes, blockchain can validate transactions and keep a record that is accessible to be able to all participants within the network. This removes the need with regard to a central expert, enabling an even more democratic way of video gaming.

Within the context associated with online casinos, blockchain technology enhances safety measures and trust. Participants can verify the fairness of games and the capacity of the casino's functions. Each game outcome and transaction is definitely stored on the particular blockchain, so that it is out of the question for casinos to be able to manipulate results or perhaps cheat players. This transparency builds self-confidence among users, making certain they can appreciate their gaming expertise without the fear regarding fraud.

Additionally, blockchain enables faster and more effective payment processing. Standard online casinos often rely on financial institutions and payment providers, which can expose delays and great fees. With blockchain, transactions could be executed in real-time applying cryptocurrencies, allowing for instant deposits and withdrawals. This not simply improves the total gaming experience although also lowers deal costs, which could be necessary for the two players and internet casinos alike.

Benefits of Blockchain in Online Casinos

Probably the most significant advantages of blockchain technology throughout online casinos is usually enhanced transparency. Deals on a blockchain are really recorded in the public ledger that will anyone can access. This means participants can verify the fairness of casino games by evaluating the underlying methods and outcomes. This particular amount of transparency builds trust between players and operators, excuse concerns about fraudulence and dishonest techniques which have marred typically the online gaming business for years.

Another essential benefit of incorporating blockchain in online casinos is increased security. Traditional on the internet casinos often deal with threats from hacking and data removes, putting sensitive person information vulnerable. Blockchain utilizes strong cryptographic techniques to protected transactions and end user data, making it extremely difficult regarding malicious actors in order to manipulate or gain access to information. As a result, participants can enjoy a common casino online online games with peace associated with mind, knowing their assets are well protected.

Additionally, blockchain facilitates faster and cheaper transactions. Inside conventional online gambling dens, players often face delays and thousands of dollars15143 associated with deposits and withdrawals. Together with blockchain, transactions can easily be executed nearly instantly, allowing with regard to seamless gameplay. Typically the elimination of intermediaries reduces transaction fees, enabling players to be able to keep a better talk about of their winnings. This efficiency not only enhances the participant experience but in addition encourages more regular engagement with online casino games.

Popular Blockchain-Based Casino Games

Blockchain technology offers introduced a broad array of revolutionary casino online video games, transforming how participants interact with their favored pastimes. One of the standout genres is provably fair games, which utilize smart contracts to ensure openness and fairness. Game titles like Bitcoin Chop and Blackjack experience attracted players searching for an honest game playing experience. With codes that players can easily verify, these games not merely enhance user trust but furthermore allow for exciting gameplay with real stake potential.

Another type gaining traction will be decentralized poker platforms. These casino blockchain poker rooms allow players to participate with each various other with no need for intermediaries. Games like EtherPoker and PokerStars on the blockchain are designed to provide seamless gameplay although protecting player data and transactions. This specific decentralization not simply makes a more user-centric environment but in addition reduces house edges, benefiting players using potentially higher comes back.

Lastly, slot games have got found their specific niche market in the blockchain world. Platforms like Spin Jackpot and Crypto Wild present vibrant and interesting slots that operate on blockchain technological innovation, providing players together with unique themes and even rewarding mechanics. These types of casino online slot machine games often feature cryptocurrencies as a betting option, opening upward a global audience. Together with the incorporation associated with non-fungible tokens and even unique rewards, participants can enjoy a gaming experience of which feels both innovative and connected to the evolving digital landscape.

Future Trends throughout Online Casino Gaming

Because the online casino panorama is constantly on the evolve, the particular integration of blockchain technology is paving the way with regard to innovative trends who promise to enhance customer experience and protection. One significant craze may be the rise of decentralized casinos. These kinds of platforms operate with out a central power, allowing players to engage directly with the games. This peer-to-peer interaction fosters visibility and reduces the hazards associated with traditional online casinos, which include issues of trust and unfair methods.

Another trend is the particular tokenization of on line casino games. With blockchain, online casinos can easily create unique digital tokens that gamers can use within the ecosystem. These kinds of tokens can represent in-game currency, returns, or even ownership stakes in specific games. This not really only adds a new layer of motivation for players to be able to participate but additionally allows a seamless change of value, developing a more immersive and engaging gaming experience. Additionally, tokenization can permit for cross-platform compatibility, making it easier for participants to move their property across different game titles and casinos.

Lastly, the particular future of online casino gaming is likely to find an increase in smart contracts. https://anotepad.com/notes/qnir7hqm These blockchain-based contracts automatically execute transactions when certain conditions are usually met, ensuring fair play without demanding intermediaries. Smart legal agreements can facilitate the range of businesses in online on line casino games, from payouts and bonuses in order to game outcomes, just about all done in the secure and trustless environment. As a lot more operators embrace these technologies, players could expect a gaming experience that is usually not only a lot more enjoyable but likewise safer and a lot more reliable.

Comparing pre-scribe versus with-scribe periods, documentation time per patient decreased by 3-minutes 28-seconds per patient (pre-scribe IQR 6, with-scribe IQR 3, P=.028); note timeliness decreased from 0.96 days to 0.26 days (pre-scribe IQR 0.22, with-scribe IQR 0.11, P=.028); and clinicians' estimates of time spent in the EHR decreased by 1.2 hours per clinic session (pre-scribe IQR 0.5, with-scribe IQR 0.5, P=.031).

Medical scribes in an outpatient pediatric setting result in 1) decreased time spent charting, 2) reduced time to final sign clinic notes, and 3) decrease in clinician's perceived time spent documenting.
Medical scribes in an outpatient pediatric setting result in 1) decreased time spent charting, 2) reduced time to final sign clinic notes, and 3) decrease in clinician's perceived time spent documenting.
To examine associations between adverse childhood experiences (ACEs) and teen behavior outcomes and whether the presence of disability moderates this relationship.

We conducted a secondary analysis of population-based data from the Fragile Families & Child Wellbeing Study urban birth cohort. Disability status included physical/developmental/behavioral conditions (ages 1-5) using mother-reported child health conditions and cognitive disability (age 9), measured by the Peabody Picture Vocabulary Test (PPVT), an assessment of receptive vocabulary. We investigated whether either disability type moderates the relationship between ACEs occurring between ages 5 to 9 and behavior outcomes at age 15, specifically, standardized scales of caregiver-reported externalizing and youth-reported internalizing and delinquent behaviors. Associations were examined using multivariate linear regression models, including interaction effects of ACEs with low PPVT score and disability conditions to assess for potential moderaquent behaviors, indicating these children may be particularly vulnerable to the effects of trauma and adversity. https://www.selleckchem.com/PARP.html Targeted assessment and resources for youth with cognitive disability are critical.
Racial disparities in diagnosis and receipt of services for early childhood developmental delay (DD) are well known but studies have had difficulties distinguishing contributing patient, healthcare system, and physician factors from underlying prevalence. We examine rates of physician diagnoses of DD by preschool and kindergarten entry controlling for a child's objective development via scoring on validated developmental assessment along with other child characteristics.

We used data from the preschool and kindergarten entry waves of the Early Childhood Longitudinal Study, Birth Cohort. Dependent variables included being diagnosed with DD by a medical provider and receipt of developmental services. Logistic regression models tested whether a child's race was associated with both outcomes during preschool and kindergarten while controlling for the developmental assessments, as well as other contextual factors.

Among 7950 children, 6.6% of preschoolers and 7.5% of kindergarteners were diagnosed with DD. Of preschool children with DD, 66.5% were receiving developmental services, while 69.1% of kindergarten children with DD were receiving services. Children who were Black, Asian, spoke a primary language other than English and had no health insurance were less likely to be diagnosed with DD despite accounting for cognitive ability. Black and Latinx children were less likely to receive services.

Racial minority children are less likely to be diagnosed by their pediatric provider with DD and less likely to receive services despite accounting for a child's objective developmental assessment. The pediatric primary care system is an important target for interventions to reduce these disparities.
Racial minority children are less likely to be diagnosed by their pediatric provider with DD and less likely to receive services despite accounting for a child's objective developmental assessment. The pediatric primary care system is an important target for interventions to reduce these disparities.
To estimate feasibility, usability and efficacy of a mobile parenting app (Rx for Success; RxS) to enhance reading guidance provided to parents of young children during well-visits.

This trial was conducted at a clinic serving primarily families of Hispanic ethnicity and low-socioeconomic status (SES) where Reach Out and Read (ROR) is standard practice. It involved 252 parent-child dyads in 2 age groups (~6-months old, ~18-months old) randomized during well-visits to receive RxS or a children's book modeling alternatives to screen time (Control) by research coordinators. RxS involves videos, activities and "push" messages. Follow-up assessments were conducted approximately 6 months later, including impression and use, shared reading behaviors, child language and screen time.

A total of 217 dyads completed both visits (110 RxS, 107 Control). Time to introduce RxS was under 3 minutes and 32% of parents experienced largely minor performance issues. Parent impression of RxS was favorable for both age groups at baseline and follow-up, though use was infrequent, attributable to a desire for more relevant and updated content. Significant findings favoring RxS included shared reading as a favorite activity, more frequent shared reading reported at 12 months and higher language scores at 24 months. Screen time was equivalent between cohorts, exceeding American Academy of Pediatrics guidelines.

A mobile app introduced to parents of young children from low-SES backgrounds was feasible during well-visits, rated as helpful, and effective to enhance shared reading at younger and language at older ages. While a potentially impactful enhancement to ROR, features needing improvement were identified.
A mobile app introduced to parents of young children from low-SES backgrounds was feasible during well-visits, rated as helpful, and effective to enhance shared reading at younger and language at older ages. While a potentially impactful enhancement to ROR, features needing improvement were identified.
Computed tomography (CT) is commonly performed when evaluating trauma patients with up to 55% showing incidental findings. Current workflows to identify and inform patients are time-consuming and prone to error. Our objective was to automatically identify thyroid and adrenal lesions in radiology reports using deep learning.

All trauma patients who presented to an accredited Level 1 Trauma Center between January 2008 and January 2019 were included. Radiology reports of CT scans that included either a thyroid or adrenal gland were obtained. Preprocessing included word tokenization, removal of stop words, removal of punctuation, and replacement of misspellings. A word2vec model was trained using 1.4 million radiology reports. Both training and testing reports were selected at random, manually reviewed, and were considered the gold standard. True positive cases were defined as any lesions in the thyroid or adrenal gland, respectively. Training data was used to create models that would identify reports that contained either thyroid or adrenal lesions.

The pandemic of Coronavirus Disease-19 (COVID-19) has spread around the world, causing an existential health crisis. Automated detection of COVID-19 infections in the lungs from Computed Tomography (CT) images offers huge potential in tackling the problem of slow detection and augments the conventional diagnostic procedures. However, segmenting COVID-19 from CT Scans is problematic, due to high variations in the types of infections and low contrast between healthy and infected tissues. While segmenting Lung CT Scans for COVID-19, fast and accurate results are required and furthermore, due to the pandemic, most of the research community has opted for various cloud based servers such as Google Colab, etc. to develop their algorithms. High accuracy can be achieved using Deep Networks but the prediction time would vary as the resources are shared amongst many thus requiring the need to compare different lightweight segmentation model. To address this issue, we aim to analyze the segmentation of COVID-19 using four Convolutional Neural Networks (CNN). The images in our dataset are preprocessed where the motion artifacts are removed. The four networks are UNet, Segmentation Network (Seg Net), High-Resolution Network (HR Net) and VGG UNet. Trained on our dataset of more than 3,000 images, HR Net was found to be the best performing network achieving an accuracy of 96.24% and a Dice score of 0.9127. The analysis shows that lightweight CNN models perform better than other neural net models when to segment infectious tissue due to COVID-19 from CT slices.Detection of targets with small Doppler frequencies of linear-frequency modulated continuous wave radars is the main task of this article. The moving target indicator (MTI) is used to reject the fixed targets and high-speed targets through the radar research area. In this work, targets with small Doppler frequencies can be detected perfectly based on the frequency response of a single delay line canceller followed by single delay line integrator. An enhancement of the proposed algorithm is achieved using a filter in the range direction of the range-Doppler processor scheme. The proposed filter is chosen with certain coefficients after the first fast Fourier transform processor in range to enhance the radar performance. The evaluation of the proposed algorithm is achieved at different slow Doppler scenarios of the target and compared with the traditional algorithm which uses only MTI processor. Another aspect that is important for evaluation of the proposed algorithm is the detection performance of the algorithms through the receiver operating characteristic curves. Implementation of the proposed algorithm using FPGA is performed in real time applications and it is found that it meets the simulation results.This article explores a graph clustering method that is derived from an information theoretic method that clusters points in R n relying on Renyi entropy, which involves computing the usual Euclidean distance between these points. https://www.selleckchem.com/products/blu-285.html Two view points are adopted (1) the graph to be clustered is first embedded into R d for some dimension d so as to minimize the distortion of the embedding, then the resulting points are clustered, and (2) the graph is clustered directly, using as distance the shortest path distance for undirected graphs, and a variation of the Jaccard distance for directed graphs. In both cases, a hierarchical approach is adopted, where both the initial clustering and the agglomeration steps are computed using Renyi entropy derived evaluation functions. Numerical examples are provided to support the study, showing the consistency of both approaches (evaluated in terms of F-scores).Gene promoters are the key DNA regulatory elements positioned around the transcription start sites and are responsible for regulating gene transcription process. Various alignment-based, signal-based and content-based approaches are reported for the prediction of promoters. However, since all promoter sequences do not show explicit features, the prediction performance of these techniques is poor. Therefore, many machine learning and deep learning models have been proposed for promoter prediction. In this work, we studied methods for vector encoding and promoter classification using genome sequences of three distinct higher eukaryotes viz. yeast (Saccharomyces cerevisiae), A. thaliana (plant) and human (Homo sapiens). We compared one-hot vector encoding method with frequency-based tokenization (FBT) for data pre-processing on 1-D Convolutional Neural Network (CNN) model. We found that FBT gives a shorter input dimension reducing the training time without affecting the sensitivity and specificity of classification. We employed the deep learning techniques, mainly CNN and recurrent neural network with Long Short Term Memory (LSTM) and random forest (RF) classifier for promoter classification at k-mer sizes of 2, 4 and 8. We found CNN to be superior in classification of promoters from non-promoter sequences (binary classification) as well as species-specific classification of promoter sequences (multiclass classification). In summary, the contribution of this work lies in the use of synthetic shuffled negative dataset and frequency-based tokenization for pre-processing. This study provides a comprehensive and generic framework for classification tasks in genomic applications and can be extended to various classification problems.
COVID-19 is a new strain of viruses that causes life stoppage worldwide. At this time, the new coronavirus COVID-19 is spreading rapidly across the world and poses a threat to people's health. Experimental medical tests and analysis have shown that the infection of lungs occurs in almost all COVID-19 patients. Although Computed Tomography of the chest is a useful imaging method for diagnosing diseases related to the lung, chest X-ray (CXR) is more widely available, mainly due to its lower price and results. Deep learning (DL), one of the significant popular artificial intelligence techniques, is an effective way to help doctors analyze how a large number of CXR images is crucial to performance.

In this article, we propose a novel perceptual two-layer image fusion using DL to obtain more informative CXR images for a COVID-19 dataset. To assess the proposed algorithm performance, the dataset used for this work includes 87 CXR images acquired from 25 cases, all of which were confirmed with COVID-19. The dataset preprocessing is needed to facilitate the role of convolutional neural networks (CNN).

We also propose an approach based on Differential Evolution (DE). The computational experiments include synthetic datasets with a varied amount of learning materials and real-world datasets for comparison. The results show that DE performed better than the other methods when less than 500 learning materials are used while PSO performed better for larger problems.This research examines the considerations of responsible Artificial Intelligence in the deployment of AI-based COVID-19 digital proximity tracking and tracing applications in two countries; the State of Qatar and the United Kingdom. Based on the alignment level analysis with the Good AI Society's framework and sentiment analysis of official tweets, the diagnostic analysis resulted in contrastive findings for the two applications. While the application EHTERAZ (Arabic for precaution) in Qatar has fallen short in adhering to the responsible AI requirements, it has contributed significantly to controlling the pandemic. On the other hand, the UK's NHS COVID-19 application has exhibited limited success in fighting the virus despite relatively abiding by these requirements. This underlines the need for obtaining a practical and contextual view for a comprehensive discourse on responsible AI in healthcare. Thereby offering necessary guidance for striking a balance between responsible AI requirements and managing pressures towards fighting the pandemic.The purpose of this mixed-method study was to examine the effect of a new vocabulary revision technique "peer-chain" developed by the researchers on vocabulary learning and retention among English as a foreign language (EFL) university students. A total of 46 participants (21 in the control group and 25 in the experimental group) completed the study, and the effectiveness of the treatment was checked via conducting a pre-test post-test/retention test control group design for the quantitative part. The study was eight weeks in duration, and the students were assessed with a 42-question, multiple-choice vocabulary achievement test (VAT). An analysis of ANOVA for the quantitative data showed a significant difference in students' vocabulary achievement between the students who used peer-chain and the students who used traditional word cards. Also, the study explored learner perceptions through interviews with the experimental group students. The qualitative content analysis of the interview data showed that most learners had positive perceptions of the technique. Both quantitative and qualitative outcomes suggest that integrating WhatsApp with the peer-chain technique in teaching vocabulary is a promising technique and can be more successful than the traditional paper-based word cards for vocabulary learning and retention.The use of blockchain technology has been proposed to provide auditable access control for individual resources. However, when all resources are owned by a single organization, such expensive solutions may not be needed. In this work we focus on distributed applications such as business processes and distributed workflows. These applications are often composed of multiple resources/services that are subject to the security and access control policies of different organizational domains. Here, blockchains can provide an attractive decentralized solution to provide auditability. However, the underlying access control policies may be overlapping in terms of the component conditions/rules, and simply using existing solutions would result in repeated evaluation of user's authorization separately for each resource, leading to significant overhead in terms of cost and computation time over the blockchain. To address this challenge, we propose an approach that formulates a constraint optimization problem to generate an optimal composite access control policy. This policy is in compliance with all the local access control policies and minimizes the policy evaluation cost over the blockchain. https://www.selleckchem.com/products/melk-8a-hydrochloride.html The developed smart contract(s) can then be deployed to the blockchain, and used for access control enforcement. We also discuss how the access control enforcement can be audited using a game-theoretic approach to minimize cost. We have implemented the initial prototype of our approach using Ethereum as the underlying blockchain and experimentally validated the effectiveness and efficiency of our approach.The purpose of this study is to report the change in surgical case volume and composition encountered by a multi-subspecialty orthopaedic practice due to COVID-19. We reviewed electronic medical records for patients who had surgery at our institution and collected multiple variables including age and the joint that was operated on. In the post-COVID-19 period, we found a significant increase in the percentage of hip procedures, and a significant decrease in the percentage of hand/wrist procedures. Overall, the total surgical volume of our multi-subspecialty orthopaedic practice decreased due to the COVID-19 pandemic, and the composition of surgical cases changed.COVID-19, caused by SARS-CoV2 infection, varies greatly in its severity but presents with serious respiratory symptoms with vascular and other complications, particularly in older adults. The disease can be spread by both symptomatic and asymptomatic infected individuals. Uncertainty remains over key aspects of the virus infectiousness (particularly the newly emerging variants) and the disease has had severe economic impacts globally. For these reasons, COVID-19 is the subject of intense and widespread discussion on social media platforms including Facebook and Twitter. These public forums substantially influence public opinions and in some cases can exacerbate the widespread panic and misinformation spread during the crisis. Thus, this work aimed to design an intelligent clustering-based classification and topic extracting model named TClustVID that analyzes COVID-19-related public tweets to extract significant sentiments with high accuracy. We gathered COVID-19 Twitter datasets from the IEEE Dataport repository and employed a range of data preprocessing methods to clean the raw data, then applied tokenization and produced a word-to-index dictionary. Thereafter, different classifications were employed on these datasets which enabled the exploration of the performance of traditional classification and TClustVID. Our analysis found that TClustVID showed higher performance compared to traditional methodologies that are determined by clustering criteria. Finally, we extracted significant topics from the clusters, split them into positive, neutral and negative sentiments, and identified the most frequent topics using the proposed model. This approach is able to rapidly identify commonly prevailing aspects of public opinions and attitudes related to COVID-19 and infection prevention strategies spreading among different populations.