As part of its ongoing efforts to support dentists during the COVID-19 pandemic, the ADA is offering members two free e-books the week of April 8-14: “Managing Finances: Best Practices” and “The ADA Practical Guide to HIPAA Training.”

As EU Member States struggle to deliver on the European Union's call to expand channels for foreign workers, they should focus more on attracting the middle- and low-skilled third-country nationals needed by the labor market yet for whom few opportunities for admission exist. They also would do well to consider their migration policies in light of labor market, foreign policy, and development objectives, rather than as a means to reduce irregular migration, this report cautions.

An Ohio appellate court struck down a district's policy allowing staff members to carry concealed weapons in school with 24 hours of "active shooter/killer training."

In this seventh installment on the growth in dual-language learning, two experts from Delaware explore how state education leaders can build capacity to support both students and educators.

After of a mandate approved by the State Board of Education, public schools in Florida will have to provide students at least five hours of mental health instruction starting in sixth grade.

In the aftermath of this spring's teacher protests, more educators are running for state office—and the National Education Association is seizing on the political moment.

Controversy over an intiative aimed a reducing inequities in Lee's Summit, Mo., schools led the police department to provide security protection for the district's first African-American superintendent. Now the school board has reversed course.

Co-training is a well-known semi-supervised learning approach which trains classifiers on two or more different views and exchanges pseudo labels of unlabeled instances in an iterative way. During the co-training process, pseudo labels of unlabeled instances are very likely to be false especially in the initial training, while the standard co-training algorithm adopts a 'draw without replacement' strategy and does not remove these wrongly labeled instances from training stages. Besides, most of the traditional co-training approaches are implemented for two-view cases, and their extensions in multi-view scenarios are not intuitive. These issues not only degenerate their performance as well as available application range but also hamper their fundamental theory. Moreover, there is no optimization model to explain the objective a co-training process manages to optimize. To address these issues, in this study we design a unified self-paced multi-view co-training (SPamCo) framework which draws unlabeled instances with replacement. Two specified co-regularization terms are formulated to develop different strategies for selecting pseudo-labeled instances during training. Both forms share the same optimization strategy which is consistent with the iteration process in co-training and can be naturally extended to multi-view scenarios. A distributed optimization strategy is also introduced to train the classifier of each view in parallel to further improve the efficiency of the algorithm. Furthermore, the SPamCo algorithm is proved to be PAC learnable, supporting its theoretical soundness. Experiments conducted on synthetic, text categorization, person re-identification, image recognition and object detection data sets substantiate the superiority of the proposed method.

Multi-Class Incremental Learning (MCIL) aims to learn new concepts by incrementally updating a model trained on previous concepts. However, there is an inherent trade-off to effectively learning new concepts without catastrophic forgetting of previous ones. To alleviate this issue, it has been proposed to keep around a few examples of the previous concepts but the effectiveness of this approach heavily depends on the representativeness of these examples. This paper proposes a novel and automatic framework we call mnemonics, where we parameterize exemplars and make them optimizable in an end-to-end manner. We train the framework through bilevel optimizations, i.e., model-level and exemplar-level. We conduct extensive experiments on three MCIL benchmarks, CIFAR-100, ImageNet-Subset and ImageNet, and show that using mnemonics exemplars can surpass the state-of-the-art by a large margin. Interestingly and quite intriguingly, the mnemonics exemplars tend to be on the boundaries between different classes.

Graph Neural Networks (GNNs) are powerful and flexible neural networks that use the naturally sparse connectivity information of the data. GNNs represent this connectivity as sparse matrices, which have lower arithmetic intensity and thus higher communication costs compared to dense matrices, making GNNs harder to scale to high concurrencies than convolutional or fully-connected neural networks.

We present a family of parallel algorithms for training GNNs. These algorithms are based on their counterparts in dense and sparse linear algebra, but they had not been previously applied to GNN training. We show that they can asymptotically reduce communication compared to existing parallel GNN training methods. We implement a promising and practical version that is based on 2D sparse-dense matrix multiplication using torch.distributed. Our implementation parallelizes over GPU-equipped clusters. We train GNNs on up to a hundred GPUs on datasets that include a protein network with over a billion edges.

The notion of incremental learning is to train an ANN algorithm in stages, as and when newer training data arrives. Incremental learning is becoming widespread in recent times with the advent of deep learning. Noise in the training data reduces the accuracy of the algorithm. In this paper, we make an empirical study of the effect of noise in the training phase. We numerically show that the accuracy of the algorithm is dependent more on the location of the error than the percentage of error. Using Perceptron, Feed Forward Neural Network and Radial Basis Function Neural Network, we show that for the same percentage of error, the accuracy of the algorithm significantly varies with the location of error. Furthermore, our results show that the dependence of the accuracy with the location of error is independent of the algorithm. However, the slope of the degradation curve decreases with more sophisticated algorithms

Restricted Boltzmann Machine (RBM) is an energy based, undirected graphical model. It is commonly used for unsupervised and supervised machine learning. Typically, RBM is trained using contrastive divergence (CD). However, training with CD is slow and does not estimate exact gradient of log-likelihood cost function. In this work, the model expectation of gradient learning for RBM has been calculated using a quantum annealer (D-Wave 2000Q), which is much faster than Markov chain Monte Carlo (MCMC) used in CD. Training and classification results are compared with CD. The classification accuracy results indicate similar performance of both methods. Image reconstruction as well as log-likelihood calculations are used to compare the performance of quantum and classical algorithms for RBM training. It is shown that the samples obtained from quantum annealer can be used to train a RBM on a 64-bit `bars and stripes' data set with classification performance similar to a RBM trained with CD. Though training based on CD showed improved learning performance, training using a quantum annealer eliminates computationally expensive MCMC steps of CD.

The Computer Emergency Response Team of Mauritius (CERT-MU) in collaboration with the Command and Control Centre of Kenya organised a 3-day training programme on Cyber Defense Monitoring and Forensics at Voilà Hotel, Bagatelle from the 27^th February – 1^st March 2018. The training course provided an introduction to Network Security Monitoring (NSM), Security Information and Events Management (SIEM), Malware Analysis and Digital Forensics. Major part of the course was hands-on case studies and analysis exercises using real world data. The main focus of the training programme was on intensive hands-on sessions on addressing key challenges faced by local organizations in all sectors/industries. A wide range of commercial and open source tools were used to equip cyber defenders with the necessary skills to anticipate, detect, respond and contain adversaries. The training programme was followed by 23 participants from the public and private sector. 


Lima, Peru- In June four members from OM Peru led a day-long training seminar in Lima. The seminars were attended by over 50 believers from five different churches.

Extreme Leadership Training camps create unity in Ukraine.

OM's International Intensive School of Missions in Panama is getting ready to start in January 2012 to equip Latinos for missions.

In the aftermath of this spring's teacher protests, more educators are running for state office—and the National Education Association is seizing on the political moment.

The proposed budget from the Trump administration eliminates the Title II grant program, which pays for professional development and class-size reduction efforts.

The social media giant, which is facing withering scrutiny over its data-collection practices, has announced a partnership with the National Urban League.

The UEFA Training Ground has been relaunched with improved usability, sections for coaches and women's football and TactX and You're the Boss available in nine languages.

No studies have focused on the financial impact of fellowship training in pediatrics.

The results from this study can be helpful to current pediatric residents as they contemplate their career options. In addition, the study may be valuable to policy makers who evaluate health care reform and pediatric workforce-allocation issues. (Read the full article)

In the previous decade, graduating pediatric residents generally experienced success in finding desired jobs, but they also experienced increased debt and flat starting salaries.

This study highlights trends over the past several years (2003–2009) including high levels of satisfaction among graduating pediatric residents, increasing ease in obtaining postresidency positions, and a modest decline in interest in primary care practice. (Read the full article)

A 2001 survey of pediatric residency training directors indicated that few programs prepared residents to intervene on tobacco. A decade later, it is not known whether programs are doing more to prepare residents to intervene effectively with patients and parents.

Despite the need for pediatricians to play a leadership role in tobacco prevention and control, most pediatric residency training programs focus more on health effects of tobacco use and smoke exposure than on how to intervene with patients and parents. (Read the full article)

Birth asphyxia, or failure to initiate or sustain spontaneous breathing at birth, contributes to ~27% to 30% of neonatal deaths in resource-limited countries, including Tanzania. Without change, these countries will fail to meet Millennium Development Goal 4 targets by 2015.

The Helping Babies Breathe program was implemented in 8 hospitals in Tanzania in 2009. It has been associated with a sustained 47% reduction in early neonatal mortality within 24 hours and a 24% reduction in fresh stillbirths after 2 years. (Read the full article)

Preterm born children have cognitive problems that include deficits in working memory. Computer-based working memory training has been reported to improve cognitive function in children.

A computer-based working memory training program designed for preschoolers seems effective in very low birth weight children, not only on working memory tasks, but also by having a generalizing effect regarding memory and learning. (Read the full article)

Pediatric training programs use simulation for procedural skills training. Research demonstrates student satisfaction with simulation training, improved confidence, and improved skills when retested on a simulator. Few studies, however, have investigated the clinical impact of simulation education.

This is the first multicenter, randomized trial to evaluate the impact of simulation-based mastery learning on clinical procedural performance in pediatrics. A single simulation-based training session was not sufficient to improve interns’ clinical procedural performance. (Read the full article)

Levels of daily physical activity in children are decreasing worldwide. This implies risk factors for cardiovascular and metabolic diseases.

Strength training makes children not only stronger but significantly increases their daily spontaneous physical activity outside the training intervention. (Read the full article)

An estimated 9.5% of children are diagnosed with attention-deficit/hyperactivity disorder (ADHD), which affects academic and social outcomes. We previously found significant improvements in ADHD symptoms immediately after neurofeedback training at school.

This randomized controlled trial included a large sample of elementary school students with ADHD who received in-school computer attention training with neurofeedback or cognitive training. Students who received neurofeedback were reported to have fewer ADHD symptoms 6 months after the intervention. (Read the full article)

Compared with their peers, pediatric residents who report exposure to community settings anticipate greater future community involvement at the end of training. The impact of community pediatrics training on actual future community involvement is not known.

Pediatricians exposed to enhanced community pediatrics training during residency report greater participation in community activities and greater related skills than their peers nationally. (Read the full article)

High-fidelity simulation improves individual skills in neonatal resuscitation. Usually, training is performed in a simulation center. Little is known about the impact of in situ training on overall team performance.

In situ high-fidelity simulation training of 80% of a maternity’s staff significantly improved overall team performance in neonatal resuscitation (technical skills and teamwork). Fewer hazardous events occurred, and delay in improving the heart rate was shorter. (Read the full article)

The diversifying US population has led to the examination of workforce diversity and training. National data on diversity, inclusion, and cultural competency training have been previously collected but have been assessed only at the macro level of medicine.

This study assesses workforce diversity, inclusion, and cultural competency training in departments of pediatrics across the country and provides the first assessment of departmental efforts to improve diversity and inclusion and provide cultural competency training to trainees and faculty. (Read the full article)

Parental hesitancy about childhood vaccines is prevalent and related to delay or refusal of immunizations. Physicians are highly influential in parental vaccine decision-making, but may lack confidence in addressing parents’ vaccine concerns.

A physician-targeted communications intervention designed to reduce maternal vaccine hesitancy through the parent-physician relationship did not affect maternal hesitancy or physician confidence communicating with parents. Further research should determine the most effective approaches to addressing vaccine hesitancy. (Read the full article)

Choosing career paths can be a difficult decision for residents contemplating fellowship training. Limited resources are available to residents to help guide their choices.

This article provides additional descriptions and insight into actual lifestyle and workplace environments for pediatric residents who choose fellowship training compared with those who do not. (Read the full article)

Pennsylvania College of Technology’s National Sustainable Structures Center is adding a training site in Westmoreland County to enhance delivery of building science and energy efficiency training for the U.S. Department of Energy’s Weatherization Assistance Program.

A growing number of students have experienced a brain injury that could affect their ability to learn in school. Yet most teachers aren't prepared to work with these students.

OM Angola helps a war-ravaged society heal itself.

An initiative to improve the use of apps and mobile technology in the instruction of special education students finds that teachers aren't receiving the professional development they want.

Students and faculty members at Penn State Behrend's Black School of Business are contributing to and assessing a financial literacy curriculum that is being taught at nearly 400 high schools in eight states.

Educators for Excellence took the temperature of teachers across the nation on issues ranging from compensation to preparation to union membership.

A new study shows that teachers with negative parental interactions are more likely to have such experiences. How can teachers deal with parental harassment?

Lionel Messi and company took the fields at Joan Gamper training centre for individual sessions, for which the players arrived alone in kit and took to the three pitches without passing through the...

The Delaware Forest Service is seeking qualified and interested individuals for its upcoming series of wildfire training classes at the Delaware State Fire School. Ideal candidates should be: at least 18 years of age, physically and mentally fit, motivated to learn, and willing to travel for two weeks or more for out-of-state assignments.

The Delaware Forest Service (DFS) is seeking recruits to enroll in its upcoming wildfire training classes at the Delaware State Fire School. Candidates should be at least 18 years of age, physically and mentally fit, motivated to learn, and willing and able to travel for at least two weeks or more (usually during the summer) for out-of-state fire assignments. Previous firefighting experience is not required. The deadline for course registration is January 3, 2015.

Fruit and vegetable growers who want to learn about produce safety, Good Agricultural Practices (GAPs), developing food safety plans and the Food Safety Modernization Act (FSMA) Produce Safety Rule are encouraged to attend several upcoming workshops. On March 16 and 17, the “Delaware FSMA Produce Safety Alliance Training, Produce Food Safety Updates, and Food Safety Plan Writing Workshop” will be held at the Delaware State Fairgrounds in Harrington. The workshop will be from 8 a.m. to 4:00 p.m. each day. Lunch will be provided and registration is free, courtesy of the USDA Specialty Crop Block Grant and the Delaware Department of Agriculture.

DOVER, Del. – The Delaware Department of Agriculture is offering two one-day courses in March to help farmers growing fruits and vegetables comply with the Food Safety Modernization Act (FSMA) Produce Safety Rule. “About 1 in 6 Americans gets sick each year from foodborne illness,” said Secretary of Agriculture Michael T. Scuse. “The Food Safety […]

The Delaware Forest Service is looking for motivated recruits to enroll in wildfire training classes starting in February at the Delaware Department of Agriculture, 2320 S. DuPont Highway, Camden, DE. There is no cost for training and no previous experience needed. Candidates must be over 18 years of age, willing to learn, physically fit, and able to travel for at least two weeks at a time, usually in the summer months. Attendance at all classes is required for prospective wildland firefighters to achieve “red card” certification from the National Wildfire Coordinating Group (NWCG). Students can register by filling out the online registration form by January 31, 2020. Complete details are at http://de.gov/wildfire.