Aim/Purpose: This study presents a novel deep learning-based framework designed to enhance spontaneous micro-expression recognition by effectively increasing the amount and variety of data and balancing the class distribution to improve recognition accuracy. Background: Micro-expression recognition using deep learning requires large amounts of data. Micro-expression datasets are relatively small, and their class distribution is not balanced. Methodology: This study developed a framework using a deep learning-based model to recognize spontaneous micro-expressions on a person’s face. The framework also includes several technical stages, including image and data preprocessing. In data preprocessing, data augmentation is carried out to increase the amount and variety of data and class balancing to balance the distribution of sample classes in the dataset. Contribution: This study’s essential contribution lies in enhancing the accuracy of micro-expression recognition and overcoming the limited amount of data and imbalanced class distribution that typically leads to overfitting. Findings: The results indicate that the proposed framework, with its data preprocessing stages and deep learning model, significantly increases the accuracy of micro-expression recognition by overcoming dataset limitations and producing a balanced class distribution. This leads to improved micro-expression recognition accuracy using deep learning techniques. Recommendations for Practitioners: Practitioners can utilize the model produced by the proposed framework, which was developed to recognize spontaneous micro-expressions on a person’s face, by implementing it as an emotional analysis application based on facial micro-expressions. Recommendation for Researchers: Researchers involved in the development of a spontaneous micro-expression recognition framework for analyzing hidden emotions from a person’s face are playing an essential role in advancing this field and continue to search for more innovative deep learning-based solutions that continue to explore techniques to increase the amount and variety of data and find solutions to balancing the number of sample classes in various micro-expression datasets. They can further improvise to develop deep learning model architectures that are more suitable and relevant according to the needs of recognition tasks and the various characteristics of different datasets. Impact on Society: The proposed framework could significantly impact society by providing a reliable model for recognizing spontaneous micro-expressions in real-world applications, ranging from security systems and criminal investigations to healthcare and emotional analysis. Future Research: Developing a spontaneous micro-expression recognition framework based on spatial and temporal flow requires the learning model to classify optimal features. Our future work will focus more on exploring micro-expression features by developing various alternative learning models and increasing the weights of spatial and temporal features.

The most common kind of blood cancer in people of all ages is leukaemia. The fractional mayfly optimisation (FMO) based DenseNet is proposed for the identification and classification of leukaemia in federated learning (FL). Initially, the input image is pre-processed by adaptive median filter (AMF). Then, cell segmentation is done using the Scribble2label. After that, image augmentation is accomplished. Finally, leukaemia classification is accomplished utilising DenseNet, which is trained using the FMO. Here, the FMO is devised by merging the mayfly algorithm (MA) and the fractional concept (FC). Following local training, the server performs local updating and aggregation using a weighted average by RV coefficient. The results showed that FMO-DenseNet attained maximum accuracy, true negative rate (TNR) and true positive rate (TPR) of 94.3%, 96.5% and 95.3%. Moreover, FMO-DenseNet gained minimum mean squared error (MSE) and root mean squared error (RMSE) of 5.7%, 9.2% and 30.4%.

Alzheimer's disease (AD), a leading cause of dementia and mortality, presents a growing concern due to its irreversible progression and the rising costs of care. Early detection is crucial for managing AD, which begins with memory deterioration caused by the damage to neurons involved in cognitive functions. Although incurable, treatments can manage its symptoms. This study introduces a hybrid AlexNet+ResNet-50 model for AD diagnosis, utilising a pre-trained convolutional neural network (CNN) through transfer learning to analyse MRI scans. This method classifies MRI images into Alzheimer's disease (AD), moderate cognitive impairment (MCI), and normal control (NC), enhancing model efficiency without starting from scratch. Incorporating transfer learning allows for refining the CNN to categorise these conditions accurately. Our previous work also explored atlas-based segmentation combined with a U-Net model for segmentation, further supporting our findings. The hybrid model demonstrates superior performance, achieving 94.21% accuracy in identifying AD cases, indicating its potential as a highly effective tool for early AD diagnosis and contributing to efforts in managing the disease's impact.

Aim/Purpose: This study took place in a school with a “paperless classroom” policy. In this school, handwriting and reading on paper were restricted. The purpose of this study was to gain insights from the teachers teaching in a paperless classroom and to learn about the benefits and challenges of teaching and learning in such an environment. Background: In recent years, many schools are moving towards a “paperless classroom” policy, in which teachers and students use computers (or other devices such as tablet PCs) as an alternative to notebooks and textbooks to exchange information and assignments electronically both in and out of class. This study took place in a school with a “paperless classroom” policy. In this school, handwriting and reading on paper were uncommon. Methodology: This qualitative study involved semi-structured interviews with 12 teachers teaching in a paperless school. The research questions dealt with the instruc-tional model developed, the various ways in which the teachers incorporated the technology in their classrooms, and the challenges and difficulties they encountered. Contribution: This study provides important advice to the way teachers have to work in paperless classrooms. Findings: It pointed out the contribution to students in three ways: preparing students for the future; efficiency of learning; empowerment of students. The teachers presented a variety of innovative methods of using the laptops in class and described a very similar structure of the lesson. The teachers described the difficulties involved in conducting a paperless classroom instruction and emphasized that despite the efficiency of the computer and its ability to support the teaching process, they used technology critically. The findings also indicate that some teachers were concerned that the transition from the regular classroom to a paperless one may negatively impact students’ reading and writing skills. Recommendations for Practitioners: Teaching in a paperless school is challenging. On the one hand, going paperless contributes to active and adaptive learning, efficiency, and the acquisition of 21st-century skills or, as they described their main goal, to prepare students for the future. On the other hand, computers in class cause problems such as distraction and disciplinary issues, information overload, and disorganized information as well as technological concerns. Impact on Society: Teachers in the paperless school develop a solid rationale relying on ideas for teaching and learning in a paperless environment, and use varied technologies and develop innovative pedagogies. They are aware of the challenges of this environment and concerned about the disadvantages of using the technology. Thus they develop a realistic and critical view of the paperless classroom. Future Research: Future studies investigating the teachers’ voice as well as the pupils’ aspect could help guide schools in preparing teachers for the paperless classroom.

Aim/Purpose: This preface presents the papers included in the ninth issue of the Interdisciplinary Journal of e-Skills and Lifelong Learning (IJELL) special series of selected Chais Conference best papers. Background: The Chais Conference for the Study of Innovation and Learning Technologies: Learning in the Technological Era, is organized by the Research Center for Innovation in Learning Technologies, The Open University of Israel. The 12th Chais Conference was held at The Open University of Israel, Raanana, Israel, on February 14-15, 2017. Each year, selected papers of the Chais conference are expanded and published in IJELL. Methodology: A qualitative conceptual analysis of the themes and insights of the papers included in the ninth selection of IJELL special series of selected Chais Conference best papers. Contribution: The presentation of the papers of this selection emphasizes their novelty, as well as their main implications, describes current research issues, and chronicles the main themes within the discourse of learning technologies research, as reflected at the Chais 2017 conference. Findings: Contemporary research goes ‘beyond the walls of the classroom’ and investigates systemic and pedagogical aspects of integrating learning technologies in education on a large scale. Recommendation for Researchers: Researchers are encouraged to investigate broad aspects of seizing the opportunities and overcoming the challenges of integrating innovative technologies in education. Impact on Society: Effective application of learning technologies has a major potential to improve the well-being of individuals and societies. Future Research: The conceptual analysis of contemporary main themes of innovative learning technologies may provide researchers with novel directions for future research on various aspects of the effective utilization of learning technologies.

Aim/Purpose: This review paper aims to unveil some underlying machine-learning classification algorithms used for political election predictions and how stack ensembles have been explored. Additionally, it examines the types of datasets available to researchers and presents the results they have achieved. Background: Predicting the outcomes of presidential elections has always been a significant aspect of political systems in numerous countries. Analysts and researchers examining political elections rely on existing datasets from various sources, including tweets, Facebook posts, and so forth to forecast future elections. However, these data sources often struggle to establish a direct correlation between voters and their voting patterns, primarily due to the manual nature of the voting process. Numerous factors influence election outcomes, including ethnicity, voter incentives, and campaign messages. The voting patterns of successors in regions of countries remain uncertain, and the reasons behind such patterns remain ambiguous. Methodology: The study examined a collection of articles obtained from Google Scholar, through search, focusing on the use of ensemble classifiers and machine learning classifiers and their application in predicting political elections through machine learning algorithms. Some specific keywords for the search include “ensemble classifier,” “political election prediction,” and “machine learning”, “stack ensemble”. Contribution: The study provides a broad and deep review of political election predictions through the use of machine learning algorithms and summarizes the major source of the dataset in the said analysis. Findings: Single classifiers have featured greatly in political election predictions, though ensemble classifiers have been used and have proven potent use in the said field is rather low. Recommendation for Researchers: The efficacy of stack classification algorithms can play a significant role in machine learning classification when modelled tactfully and is efficient in handling labelled datasets. however, runtime becomes a hindrance when the dataset grows larger with the increased number of base classifiers forming the stack. Future Research: There is the need to ensure a more comprehensive analysis, alternative data sources rather than depending largely on tweets, and explore ensemble machine learning classifiers in predicting political elections. Also, ensemble classification algorithms have indeed demonstrated superior performance when carefully chosen and combined.

'What's going on?' Within the context of our critically-informed teaching practice, we see moments of deep learning and reflexivity in classroom discussions and assessments. Yet, these moments of criticality are interspersed with surface learning and reflection. We draw on dichotomous, linear developmental, and messy explanations of learning processes to empirically explore the learning journeys of 20 international Chinese and 42 domestic New Zealand students. We find contradictions within our own data, and between our findings and the extant literature. We conclude that expressions of surface learning and reflection are considerably more complex than they first appear. Moreover, developing critical reflexivity is a far more subtle, messy, and emotional experience than previously understood. We present the theoretical and pedagogical significance of these findings when we consider the implications for the learning process and the practice of management education.

Beside making organizations look like their peers through the adoption of similar attributes (which we call alignment), this paper highlights the fact that conformity also enables organizations to stand out by exhibiting highly salient attributes key to their field or industry (which we call conventionality). Building on the conformity and status literatures, and using the case of major U.S. symphony orchestras and the changes in their concert programing between 1879 and 1969, we hypothesize and find that middle-status organizations are more aligned, and middle-status individual leaders make more conventional choices than their low- and high-status peers. In addition, the extent to which middle-status leaders adopt conventional programming is moderated by the status of the organization and by its level of alignment. This paper offers a novel theory and operationalization of organizational conformity, and contributes to the literature on status effects, and more broadly to the understanding of the key issues of distinctiveness and conformity.

Improving equity in data science, edited by Colby Tofel-Grehl and Emmanuel Schanzer, is a thought-provoking exploration of how data science education can be transformed to foster equity, especially within K-16 classrooms. The editors advocate for redefining

PSA Classic 5.56 AR15 Rifle with Carry Handle at the lowest price this year. Now, just $579.99 with FREE shipping to your FFL.

CLOSE to one million youths have successfully claimed their eBelia credit via ShopeePay. As of June 7, the programme has succeeded in generating sales amounting to 120% of the total amount disbursed by the Ministry of Finance (MOF) through ShopeePay. Additionally, some 140,000 sellers and traders that accept ShopeePay have already benefited from the eBelia programme.

Head of ShopeePay Malaysia Alain Yee said: ”As one of the newest mobile wallets to enter a crowded space, it is indeed humbling to receive the resounding support from eligible eBelia participants. When compared against MOF’s announcement, the bulk of the 1.7 million successful applicants have chosen ShopeePay. This is possibly because our e-wallet can be used both online and offline nationwide, with a reach as far and wide as Semporna, Sabah; Miri, Sarawak; Kemaman and Gong Badak in Terengganu and Bachok, Kelantan.”

Yee added that based on the preliminary data from June 1 till 7, user behaviour amongst eBelia recipients suggest that the programme has driven adoption of e-wallets and is likely going to lead to long term usage.

“Of the total successful eBelia applicants via our mobile wallet, about 40% are new ShopeePay users that activated their e-wallet just for eBelia. Additionally, we are positive that customer retention rate amongst these new users will be high as over 20% have already topped up their e-wallet at least once within the first week of using ShopeePay,” he explained.

On what the recipients have been spending on, Yee shared that many were seen to be using the eBelia credit on very practical purchases: daily necessities, food and beverages, books, as well as home and living items, among others. A closer look into the spending pattern of these eBelia youths for the past week reveals the following (Observations are made based on top 100 merchants by transactions recorded offline, online (merchants’ webstores and Apps), and on Shopee.

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One major way to reduce your travel costs is to look for ways to save on your car rental expenses. That’s what money expert Clark Howard has done time and time again. Clark says he’s recently put into practice a new strategy to get car rental deals when he travels — and the deals have […]

The post Clark’s Updated Way To Shop for Car Rental Deals appeared first on Clark Howard.

Money expert Clark Howard extolls the virtues of 529 plans every chance he gets. You put money into those plans and invest it, where it grows tax-free. And then you get to spend it tax-free to pay for your child’s education. The law just got even more friendly toward parents choosing to make use of […]

The post Does Clark Recommend a Separate 529 Account for Each Child? appeared first on Clark Howard.

If you’ve got comprehensive coverage on your auto insurance policy, then there’s a good chance that your insurer will cover the cost of windshield repair or replacement. And insurance companies make it hard to resist! If you live in in Florida, Kentucky or South Carolina, for example, then your insurance can’t charge a deductible on […]

The post Should I Make a Claim on My Car Windshield? appeared first on Clark Howard.

If you recently signed up to receive cash compensation from the Equifax breach settlement, you must do this now to validate your claim.

The post Your Equifax claim will be denied if you don’t take this additional step appeared first on Clark Howard.

Your Yahoo account may make you eligible for a settlement check. Here's what to know about the Yahoo data breach settlement.

The post Yahoo Data Breach Settlement: How to File a Claim & Get Paid appeared first on Clark Howard.

Wondering how to travel cheap? Money expert Clark Howard has a lot of experience and advice to share when it comes to answering this question!

The post Follow Clark Howard’s #1 Rule To Travel Cheap appeared first on Clark Howard.

Travel expert Clark Howard holds deep convictions when it comes to travel. Shop the deal first and then figure out what you want to do at the destination. Be flexible on travel dates. Take early flights if you can. Never check a bag. You also won’t find Clark with designer luggage that costs hundreds of […]

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A second place at Suzuka meant a first ever podium in the famous 8 Hours for YART Yamaha, as well as important championship points.

The post YART Yamaha Claims First Ever Suzuka 8 Hours Podium appeared first on BikeSport News.

After a double victory in 2024, the Yoshimura SERT MOTUL team have claimed the EWC Title. The Yoshimura SERT MOTUL squad have claimed victory in the Endurance World Championship title […]

The post Yoshimura SERT MOTUL claim the EWC Title with Bol d'Or victory appeared first on BikeSport News.

Several other shops, 12 motorcycles reduced to ashes

'Our government stands with the families of the martyrs of Baldia Town.'

Vienna-based Figlmüller topped the list for its century-long specialisation in the Schnitzel Wiener Art

Manipur violence spikes as BJP law stokes Meitei-Kuki clashes and media blackouts

Designed By: Patti, Jewelry Designer, Exclusively for Fire Mountain Gems and Beads®

Prince Andrew has realised genuine concerns amongst stake holders as he resists on giving up the Royal Lodge.

The Duke of York, who insists he will be able to manage the staggering maintenance cost of the Windsor abode, is questioned ‘where is the money...

Angelina Jolie brings classic style to 'Maria' premiere night in NYC

Angelina Jolie exuded elegance in New York City on Tuesday as she promoted her upcoming biographical film, Maria.

The 49-year-old actress was spotted heading toward an awaiting car in a sleek, black dress, paired...

Lawyers movement forgotten as year dominated by clashes within legal community.

The eclat "Force Male" Brakepads are made of soft rubber with a 6061-T6 alloy core and come with very solid brake force.

• Material: Soft rubber with 6061-T6 alloy core

The eclat "Sniper" Brake Lever comes with a hinged clamp which enables you to remove the lever without removing your grips.

• Material: 6061-T6 alloy
• Assembly Side: right
• Length: medium
• Clamp: 22.2mm
• Hinged Clamp: with

The seat base and the seat post of this eclat "Unify Slim" Combo Seat are made from one piece of nylon and therefore much more stable but also lighter than conventional, externally connected seat/seat post combos . The nylon seat post is equipped with an inner aluminum core to keep the seat post in place of the seat tube of your frame when clamped. The non adjustable angle of the saddle, but also durable cordura cover are matched visually clean and the approx. 120mm long seat post of this eclat "Unify Slim" Combo Seat is designed for riders which prefer a low seat setup.

• Type: Seat / Seatpost Combo
• Material: Plastic
• Cover: Synthetic leather
• Padding: Slim
• Seatpost: Nylon with 6061-T6 aluminum core, 120mm long, 25.4mm
• Extras: stitched logo label, includes screwed handle covers on the downside (nose and backside)
• Model Year: 2024

The eclat "Bondi" BMX Rim comes with the new Design and with a width of 38mm. High quality 6066-T6 aluminum paired with a welded double box section hollow chamber structure and 17mm high sidewalls offer you here a very stable rim which ensures optimized fit and profile for wide tires.

• Wheel Size: 20"
• Material: 6066-T6 Aluminium, double wall, double box section
• Connection: Welded
• Holes: 36H
• Width: 38mm
• Height (Rim Wall): 17mm
• Rim Wall: Straight (compatible with brakes)
• Valve Hole Diamater: 8.5mm for schrader valve
• Spoke Arrangement: Regular Laced
• Extras: Extra wide, very strong rim with low side walls, offers 2.4" inch wide tires better profile properties, 2019er Design

The eclat "Unit" Brake - Oilslick is a low-profile designed brake, compatible with rear brake mounts only. The eclat "Unit" Brake - Oilslick is constructed of 6066 forged alloy, and comes equipped with éclat's exclusive new brake pads and brake hardware.

• Material: cold forged 6066-T6 alloy
• Style: U-Brake
• Specials: comes with eclat brakepads and required hardware (bolts, etc.), comes with unique cnc'd cable hanger, sleek low-profile design & forged alloy resists flex
• Weight: 184g (complete)

The eclat "Unit" Brake is a low-profile designed brake, compatible with rear brake mounts only. The eclat "Unit" Brake is constructed of 6066 forged alloy, and comes equipped with éclat's exclusive new brake pads and brake hardware.

• Material: cold forged 6066-T6 alloy
• Style: U-Brake
• Specials: comes with eclat brakepads and required hardware (bolts, etc.), comes with unique cnc'd cable hanger, sleek low-profile design & forged alloy resists flex
• Weight: 184g (complete)

Afghan girls are part of a TV channel that is broadcasting the entire Afghan curriculum for girls out of school

A lawsuit filed in the U.S. claims that a pirate IPTV seller adopted a novel marketing strategy to support a business with 450,000 subscribers . According to the plaintiffs, the owner of the service "held himself out as a Chicago-area law enforcement officer" to "mitigate potential concerns" over the unlawfulness of his business. A theoretical damages claim of more than a billion dollars, plus an allegation of wiretapping, makes this case a little more spicy than most.

From: TF, for the latest news on copyright battles, piracy and more.

Pamela Anderson slays in classic style at ‘The Last Showgirl' screening

Pamela Anderson exuded elegance in New York City, as she attended the special screening of The Last Showgirl.

As reported by MailOnline, 57-year-old actress who attended the star-studded event at...

André Bodlin filmed his welcome to Eclat x Traffic Distribution with Christian Geisenberger over the last couple months during their road trips to Spain and Denmark and of course in Germany, as well. André had a bad knee injury not so long ago, so at this point he earns two straight props for the awesome video!

All the best, your kunstform BMX Shop Team!



Video: Christian Geisenberger

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Just in time for the start of the BMX season, we received a delivery from Mankind Bikes, Eclat and Kink Bikes. The long awaited "International" BMX parts from Mankind, as well as the Nathan Williams Signature Collection from Kink Bikes is now available in our shop.

Related links:

• all products of Eclat
• products of Kink Bikes
• all products of Mankind Bike Co.
• all signature parts of Nathan Williams