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Abstract The work of educational measurement is a highly collaborative endeavor that brings together professionals from many disciplines. While the introduction of the “Foundational Competencies in Educational Measurement” acknowledges this, the explanation of the framework itself falls short in acknowledging the competencies and skills of those from disciplines other than psychometrics, such as content development […]

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A former “gender-care specialist” at Boston Children’s Hospital testified that her ex-employer slashed the time allotted for psychologists to assess minors expressing confusion about their sex before referring them for life-altering procedures. 

This week on After The Score, Steve and Thomas talk to Martin Jarmond about the process of scheduling Ohio State football games. The process is a lot more in-depth than one might think.

In a fast-paced and ever evolving professional landscape, the need for continuous learning cannot be overstated. DWC is excited to introduce CompCourses, a series of webinars to help you keep up with the latest information and trends whether you’re a seasoned professional or new to the world of workers’ compensation.

RetailTechnologyReview.com spoke with Adrian Lawson, managing director of independent software vendor (ISV) Waizu, about how the company’s solutions are geared to helping organisations avoid the costly loss or misplacement of their mobile devices, thereby keeping their assets active and accountable and their workers fully productive.

Despite increasing concerns surrounding food waste, more than 89 million tonnes of food are thrown away every year in Europe. The grocery retail sector contributes some 5% to the total amount, often due to expired fresh produce, equating to more than 4.45 million tonnes.

In the ever-evolving landscape of retail, businesses face an ongoing challenge: theft.Despite many retailers implementing additional security measures, the issue of stolen goods continues to plague the industry with beers and wine, health and beauty products, and baby formula being the most common stolen goods.

Added October 19, 2006:

The University of Pennsylvania Graduate School of Education (Penn GSE) has been awarded $3.5 million, part of a larger $8 million grant from Education Initiatives, to partner with the School District of Philadelphia (SDP) to launch The Academy at Penn, an innovative five-year, cohort-based college- and career-readiness model for high school students. Foundations, Inc. and the Consortium for Policy Research in Education (CPRE) were also awarded through the grant as part of the larger partnership. The close collaboration involves working together to design, implement, and evaluate the project.

Education is only becoming a bigger issue for both political parties. Questions and discussions surrounding the role of parents and their children's education as well as funding and the use of school vouchers remain top of mind as we prepare for a new administration. President-elect Donald Trump could make significant changes to the U.S. Department of Education, as questions loom about the future of the department under Trump. Josh Cowen is a professor of education policy in Michigan State University's College of Education. He has worked across the country on policy issues related to school choice, teacher quality and education reform. Cowen is the author of the new book The Privateers: How Billionaires Created a Culture War and Sold School Vouchers (Harvard Education Press). Here, he answers questions on what changes could come to education and what vouchers could mean for the U.S.

Education is only becoming a bigger issue for both political parties. Questions and discussions surrounding the role of parents and their children's education as well as funding and the use of school vouchers remain top of mind as we prepare for a new administration. President-elect Donald Trump could make significant changes to the U.S. Department of Education, as questions loom about the future of the department under Trump. Josh Cowen is a professor of education policy in Michigan State University's College of Education. He has worked across the country on policy issues related to school choice, teacher quality and education reform. Cowen is the author of the new book The Privateers: How Billionaires Created a Culture War and Sold School Vouchers (Harvard Education Press). Here, he answers questions on what changes could come to education and what vouchers could mean for the U.S.

A route planner app takes the guesswork out of your commute and helps you navigate through the chaos with ease. No more sitting in bumper-to-bumper traffic, feeling frustrated and stressed.

Recent advances in quantum crystallography have shown that, beyond conventional charge density refinement, a one-electron reduced density matrix (1-RDM) satisfying N-representability conditions can be reconstructed using jointly experimental X-ray structure factors and directional Compton profiles (DCP) through semidefinite programming. So far, such reconstruction methods for 1-RDM, not constrained to idempotency, have been tested only on a toy model system (CO2). In this work, a new method is assessed on crystalline urea [CO(NH2)2] using static (0 K) and dynamic (50 K) artificial experimental data. An improved model, including symmetry constraints and frozen core-electron contribution, is introduced to better handle the increasing system complexity. Reconstructed 1-RDMs, deformation densities and DCP anisotropy are analysed, and it is demonstrated that the changes in the model significantly improve the reconstruction quality, even when there is insufficient information and data corruption. The robustness of the model and the strategy are thus shown to be well adapted to address the reconstruction problem from actual experimental scattering data.

Superconducting undulators (SCUs) can offer a much higher on-axis undulator field than state-of-the-art cryogenic permanent-magnet undulators with the same period and vacuum gap. The development of shorter-period and high-field SCUs would allow the free-electron laser and synchrotron radiation source community to reduce both the length of undulators and the dimensions of the accelerator. Magnetic measurements are essential for characterizing the magnetic field quality of undulators for operation in a modern light source. Hall probe scanning is so far the most mature technique for local field characterization of undulators. This article focuses on the systematic error caused by thermal contraction that influences Hall probe measurements carried out in a liquid helium cryostat. A novel procedure, based on the redundant measurement of the magnetic field using multiple Hall probes at known relative distance, is introduced for the correction of such systematic error.

Deflectometric profilometers are used to precisely measure the form of beam shaping optics of synchrotrons and X-ray free-electron lasers. They often utilize autocollimators which measure slope by evaluating the displacement of a reticle image on a detector. Based on our privileged access to the raw image data of an autocollimator, novel strategies to reduce the systematic measurement errors by using a set of overlapping images of the reticle obtained at different positions on the detector are discussed. It is demonstrated that imaging properties such as, for example, geometrical distortions and vignetting, can be extracted from this redundant set of images without recourse to external calibration facilities. This approach is based on the fact that the properties of the reticle itself do not change – all changes in the reticle image are due to the imaging process. Firstly, by combining interpolation and correlation, it is possible to determine the shift of a reticle image relative to a reference image with minimal error propagation. Secondly, the intensity of the reticle image is analysed as a function of its position on the CCD and a vignetting correction is calculated. Thirdly, the size of the reticle image is analysed as a function of its position and an imaging distortion correction is derived. It is demonstrated that, for different measurement ranges and aperture diameters of the autocollimator, reductions in the systematic errors of up to a factor of four to five can be achieved without recourse to external measurements.

Transition-metal nitro­gen-doped carbons (TM-N-C) are emerging as a highly promising catalyst class for several important electrocatalytic processes, including the electrocatalytic CO2 reduction reaction (CO2RR). The unique local environment around the singly dispersed metal site in TM-N-C catalysts is likely to be responsible for their catalytic properties, which differ significantly from those of bulk or nanostructured catalysts. However, the identification of the actual working structure of the main active units in TM-N-C remains a challenging task due to the fluctional, dynamic nature of these catalysts, and scarcity of experimental techniques that could probe the structure of these materials under realistic working conditions. This issue is addressed in this work and the local atomistic and electronic structure of the metal site in a Co–N–C catalyst for CO2RR is investigated by employing time-resolved operando X-ray absorption spectroscopy (XAS) combined with advanced data analysis techniques. This multi-step approach, based on principal component analysis, spectral decomposition and supervised machine learning methods, allows the contributions of several co-existing species in the working Co–N–C catalysts to be decoupled, and their XAS spectra deciphered, paving the way for understanding the CO2RR mechanisms in the Co–N–C catalysts, and further optimization of this class of electrocatalytic systems.

The inherent ambiguity in reconstructed images from coherent diffraction imaging (CDI) poses an intrinsic challenge, as images derived from the same dataset under varying initial conditions often display inconsistencies. This study introduces a method that employs the Noise2Noise approach combined with neural networks to effectively mitigate these ambiguities. We applied this methodology to hundreds of ambiguous reconstructed images retrieved from a single diffraction pattern using a conventional retrieval algorithm. Our results demonstrate that ambiguous features in these reconstructions are effectively treated as inter-reconstruction noise and are significantly reduced. The post-Noise2Noise treated images closely approximate the average and singular value decomposition analysis of various reconstructions, providing consistent and reliable reconstructions.

Low-molecular-weight (LMW) thiols are involved in many processes in all organisms, playing a protective role against reactive species, heavy metals, toxins and antibiotics. Actinobacteria, such as Mycobacterium tuberculosis, use the LMW thiol mycothiol (MSH) to buffer the intracellular redox environment. The NADPH-dependent FAD-containing oxidoreductase mycothiol disulfide reductase (Mtr) is known to reduce oxidized mycothiol disulfide (MSSM) to MSH, which is crucial to maintain the cellular redox balance. In this work, the first crystal structures of Mtr are presented, expanding the structural knowledge and understanding of LMW thiol reductases. The structural analyses and docking calculations provide insight into the nature of Mtrs, with regard to the binding and reduction of the MSSM substrate, in the context of related oxidoreductases. The putative binding site for MSSM suggests a similar binding to that described for the homologous glutathione reductase and its respective substrate glutathione disulfide, but with distinct structural differences shaped to fit the bulkier MSSM substrate, assigning Mtrs as uniquely functioning reductases. As MSH has been acknowledged as an attractive antitubercular target, the structural findings presented in this work may contribute towards future antituberculosis drug development.

Serial crystallography (SX) has become an established technique for protein structure determination, especially when dealing with small or radiation-sensitive crystals and investigating fast or irreversible protein dynamics. The advent of newly developed multi-megapixel X-ray area detectors, capable of capturing over 1000 images per second, has brought about substantial benefits. However, this advancement also entails a notable increase in the volume of collected data. Today, up to 2 PB of data per experiment could be easily obtained under efficient operating conditions. The combined costs associated with storing data from multiple experiments provide a compelling incentive to develop strategies that effectively reduce the amount of data stored on disk while maintaining the quality of scientific outcomes. Lossless data-compression methods are designed to preserve the information content of the data but often struggle to achieve a high compression ratio when applied to experimental data that contain noise. Conversely, lossy compression methods offer the potential to greatly reduce the data volume. Nonetheless, it is vital to thoroughly assess the impact of data quality and scientific outcomes when employing lossy compression, as it inherently involves discarding information. The evaluation of lossy compression effects on data requires proper data quality metrics. In our research, we assess various approaches for both lossless and lossy compression techniques applied to SX data, and equally importantly, we describe metrics suitable for evaluating SX data quality.

The Protein Data Bank (PDB) was established as the first open-access digital data resource in biology and medicine in 1971 with seven X-ray crystal structures of proteins. Today, the PDB houses >210 000 experimentally determined, atomic level, 3D structures of proteins and nucleic acids as well as their complexes with one another and small molecules (e.g. approved drugs, enzyme cofactors). These data provide insights into fundamental biology, biomedicine, bioenergy and biotechnology. They proved particularly important for understanding the SARS-CoV-2 global pandemic. The US-funded Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) and other members of the Worldwide Protein Data Bank (wwPDB) partnership jointly manage the PDB archive and support >60 000 `data depositors' (structural biologists) around the world. wwPDB ensures the quality and integrity of the data in the ever-expanding PDB archive and supports global open access without limitations on data usage. The RCSB PDB research-focused web portal at https://www.rcsb.org/ (RCSB.org) supports millions of users worldwide, representing a broad range of expertise and interests. In addition to retrieving 3D structure data, PDB `data consumers' access comparative data and external annotations, such as information about disease-causing point mutations and genetic variations. RCSB.org also provides access to >1 000 000 computed structure models (CSMs) generated using artificial intelligence/machine-learning methods. To avoid doubt, the provenance and reliability of experimentally determined PDB structures and CSMs are identified. Related training materials are available to support users in their RCSB.org explorations.

It is pointed out that many authors are unaware that the particular choice of unit-cell origin determines the irreducible representations to which octahedral tilts in perovskites belong. Furthermore, a recommendation is made that the preferred option is with the origin at the B-cation site rather than that of the A site.

The major principles and requirements of asymmetric and inclined double-crystal monochromators are re-examined and presented to guide their design and development for significantly reducing heat load density and gradient on the monochromators of fourth-generation synchrotron light sources and X-ray free-electron lasers.

BioXTAS RAW is a free open-source program for reduction, analysis and modelling of biological small-angle scattering data. Here, the new developments in RAW version 2 are described. These include improved data reduction using pyFAI; updated automated Guinier fitting and Dmax finding algorithms; automated series (e.g. size-exclusion chromatography coupled small-angle X-ray scattering or SEC-SAXS) buffer- and sample-region finding algorithms; linear and integral baseline correction for series; deconvolution of series data using regularized alternating least squares (REGALS); creation of electron-density reconstructions using electron density via solution scattering (DENSS); a comparison window showing residuals, ratios and statistical comparisons between profiles; and generation of PDF reports with summary plots and tables for all analysis. Furthermore, there is now a RAW API, which can be used without the graphical user interface (GUI), providing full access to all of the functionality found in the GUI. In addition to these new capabilities, RAW has undergone significant technical updates, such as adding Python 3 compatibility, and has entirely new documentation available both online and in the program.

INSIGHT is a Python-based software tool for processing and reducing 2D grazing-incidence wide- and small-angle X-ray scattering (GIWAXS/GISAXS) data. It offers the geometric transformation of the 2D GIWAXS/GISAXS detector image to reciprocal space, including vectorized and parallelized pixel-wise intensity correction calculations. An explicit focus on efficient data management and batch processing enables full control of large time-resolved synchrotron and laboratory data sets for a detailed analysis of kinetic GIWAXS/GISAXS studies of thin films. It processes data acquired with arbitrarily rotated detectors and performs vertical, horizontal, azimuthal and radial cuts in reciprocal space. It further allows crystallographic indexing and GIWAXS pattern simulation, and provides various plotting and export functionalities. Customized scripting offers a one-step solution to reduce, process, analyze and export findings of large in situ and operando data sets.

Serial crystallography experiments at synchrotron and X-ray free-electron laser (XFEL) sources are producing crystallographic data sets of ever-increasing volume. While these experiments have large data sets and high-frame-rate detectors (around 3520 frames per second), only a small percentage of the data are useful for downstream analysis. Thus, an efficient and real-time data classification pipeline is essential to differentiate reliably between useful and non-useful images, typically known as `hit' and `miss', respectively, and keep only hit images on disk for further analysis such as peak finding and indexing. While feature-point extraction is a key component of modern approaches to image classification, existing approaches require computationally expensive patch preprocessing to handle perspective distortion. This paper proposes a pipeline to categorize the data, consisting of a real-time feature extraction algorithm called modified and parallelized FAST (MP-FAST), an image descriptor and a machine learning classifier. For parallelizing the primary operations of the proposed pipeline, central processing units, graphics processing units and field-programmable gate arrays are implemented and their performances compared. Finally, MP-FAST-based image classification is evaluated using a multi-layer perceptron on various data sets, including both synthetic and experimental data. This approach demonstrates superior performance compared with other feature extractors and classifiers.

This article describes a correction procedure for the removal of indirect background contributions to measured small-angle X-ray scattering patterns. The high scattering power of a sample in the ultra-small-angle region may serve as a secondary source for a window placed in front of the detector. The resulting secondary scattering appears as a sample-dependent background in the measured pattern that cannot be directly subtracted. This is an intricate problem in measurements at ultra-low angles, which can significantly reduce the useful dynamic range of detection. Two different procedures are presented to retrieve the real scattering profile of the sample.

The Australian Synchrotron Imaging and Medical Beamline (IMBL) uses a superconducting multipole wiggler (SCMPW) source, dual crystal Laue monochromator and 135 m propagation distance to enable imaging and computed tomography (CT) studies of large samples with mono-energetic radiation. This study aimed to quantify two methods for CT dose reduction: wiggler source operation at reduced magnetic field strength, and beam modulation with spatial filters placed upstream from the sample. Transmission measurements with copper were used to indirectly quantify the influence of third harmonic radiation. Operation at lower wiggler magnetic field strength reduces dose rates by an order of magnitude, and suppresses the influence of harmonic radiation, which is of significance near 30 keV. Beam shaping filters modulate the incident beam profile for near constant transmitted signal, and offer protection to radio-sensitive surface organs: the eye lens, thyroid and female breast. Their effect is to reduce the peripheral dose and the dose to the scanned volume by about 10% for biological samples of 35–50 mm diameter and by 20–30% for samples of up to 160 mm diameter. CT dosimetry results are presented as in-air measurements that are specific to the IMBL, and as ratios to in-air measurements that may be applied to other beamlines. As CT dose calculators for small animals are yet to be developed, results presented here and in a previous study may be used to estimate absorbed dose to organs near the surface and the isocentre.

Full Text:

The molecular mechanism used by many bacteria to kill neighboring cells has redundancy built into its genetic makeup, which could allow for the mechanism to be expressed in different environments, say researchers at Penn State and the University of Wisconsin-Madison. Their new study provides insights into the molecular mechanisms of competition among bacteria. "Many organisms, including humans, acquire bacteria from their environment," said Tim Miyashiro, a biochemist and molecular biologist at Penn State and the leader of the research team. "These bacteria can contribute to functions within the host organism, like how our gut bacteria help us digest food. We're interested in the interactions among bacteria cells, and between bacteria and their hosts, to better understand these mutually beneficial symbiotic relationships." Cells of the bioluminescent bacteria Vibrio fisheri take up residence in the light organ of newly hatched bobtail squid. At night, the bacteria produce a blue glow that researchers believe obscures a squid's silhouette and helps protect it from predators. The light organ has pockets, or crypts, in the squid's skin that provide nutrients and a safe environment for the bacteria. "When the squid hatches, it doesn't yet have any bacteria in its light organ," said Miyashiro. "But bacteria in the environment quickly colonize the squid's light organ." Some of these different bacteria strains can coexist, but others can't. "Microbial symbioses are essentially universal in animals, and are crucial to the health and development of both partners," says Irwin Forseth, a program director in the National Science Foundation's Division of Integrative Organismal Systems, which funded the research. "The results from this study highlight the role small genetic changes can play in microbe interactions. Increased understanding will allow us to better predict organisms' performance in changing environments."

Image credit: Andrew Cecere

Source: Streetwise Reports 11/05/2024

Treatment.com AI Inc. (TRUE:CSE; TREIF:OTCMKTS; 939:FRA) has announced the release of its newly updated Medical Education Suite (MES). This release aligns with the company's active participation in a major symposium focused on AI assessment in medical education. The Symposium, hosted by the University of Minnesota Medical School,  drew thought leaders and representatives from over 50 medical schools and national education organizations across the United States and internationally.

The updated MES has been designed to leverage Treatment's proprietary Global Library of Medicine (GLM) to help reduce the administration overhead and associated time and costs for medical schools in running key exams, such as the Objective Structured Clinical Examination (OSCE). Additionally, this updated version of the MES includes "easy to use" features to further support students in their clinical assessment training and exam preparation. This OSCE exam is seen as a critical evaluation used globally to assess the practical skills of medical students. It is now employed in more than 80 countries, with between 200,000 to 300,000 students participating annually.¹

The MES incorporates various AI-driven features, such as automated case generation for OSCE exams, scripts for simulated patients, and instant scoring with personalized feedback. The Suite also introduces new tools, including AI Patient, which supports students preparing for medical exams, and expanded OSCE case packages, which are expected to grow to a library of 100 cases by the end of Q4 2024. Additionally, the AI Prep Tool offers both non-guided and guided exam-simulated modes, assisting students in honing their clinical reasoning.

Kevin Peterson, MD, MPH, Treatment's Chief Medical Officer, delivered a keynote at the Symposium, joining an impressive lineup that includes presenters from Mayo Clinic and the University of Alberta. The company highlights that this Symposium is a crucial opportunity to demonstrate its MES and showcase its growing influence in the field of medical education.

CEO Dr. Essam Hamza emphasized the significance of this event, stating in the press release, "We are excited to showcase our updated medical education software suite at this landmark Symposium. The opportunity to have a positive impact on the medical training of students and, in turn, introduce them to our range of proprietary AI tools is an important inflection point in the company's commercialization timeline."

AI in Healthcare

On October 10, Microsoft emphasized the importance of multimodal AI models for a comprehensive assessment of patient health. The report highlighted the growing importance of using AI to analyze complex, multimodal health data, such as medical imaging, genomics, and clinical records. The integration of these data sources has enabled more precise diagnostics and treatment planning, illustrating the sector's move toward comprehensive AI applications. The healthcare industry has faced challenges like the need for large-scale, integrated datasets and significant computational resources, but advancements have begun to bridge these gaps. Microsoft noted that these developments would help unlock new insights and improve patient care by accelerating innovation and enhancing clinical decision-making across the sector.

On November 4, Forbes reported that AI-powered healthcare tools were no longer merely experimental but were instead delivering real value across the industry. Examples included enhanced diagnostic accuracy through AI algorithms, like those developed by Google Cloud Healthcare, and improved administrative processes through platforms like Cedar's AI-powered billing system. Forbes noted that these developments were reshaping patient care and reducing administrative burdens, offering measurable benefits.

Also, on November 4, Tech Target highlighted the optimism among healthcare professionals regarding generative AI's potential to alleviate administrative burdens. Over 90% of healthcare workers surveyed expressed confidence in generative AI's ability to simplify tasks like prior authorizations and nurse handoff reports. Aashima Gupta from Google Cloud shared insights on these tools' transformative capabilities, while Tony Farah from Highmark Health cited an 85% reduction in provider administrative costs after automating prior authorizations. Helen Waters from Meditech added, "We believe that gen AI and AI overall is transforming how healthcare professionals access and use information to make powerful decisions confidently," reflecting the positive impact of AI tools on healthcare workflows and decision-making.

Company Catalysts

Treatment.com AI Inc. continues to evolve its medical education platform, incorporating advanced AI technologies that could help revolutionize medical education and training. The company is leveraging its Global Library of Medicine, which offers over 10,000 medical reviews and covers more than 1,000 diseases and associated symptoms. These AI-driven tools aim to enhance clinical decision-making while reducing administrative burdens for healthcare institutions.

The updated MES is projected to impact medical training through its comprehensive and AI-enhanced features, as outlined in Treatment's investor presentation. The presentation details the significant market potential, with the AI healthcare market expected to grow from US$11 billion in 2021 to US$187 billion by 2030, according to Statista. In addition to Treatment's announced new functionality, the company has already begun work on further solutions such as AI Doctor in a Pocket and audio/video analysis tools for clinical scoring and diagnostics. The goal of this expanded portfolio is to position the company to help expedite its aggressive growth plans over the next year.

Analysis of Treatment.com AI

Ownership and Share Structure

According to Sedi.ca, insiders own approximately 8% of Treatment.com AI. Retail investors own the remaining 92%. 

The company has 48.99 million outstanding common shares and has 41.3 million free float traded shares.

As of November 4, the market cap is approximately CA$31.35 million. Over the past 52 weeks, the company traded between CA$0.355 and CA$1.11 per share.

¹Source bodies including: https://www.aamc.org/; https://www.uems.eu/; https://www.nmc.org.in/; Education – GMC (gmc-uk.org)

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Important Disclosures:

1. Treatment.com AI has a consulting relationship with Street Smart an affiliate of Streetwise Reports. Street Smart Clients pay a monthly consulting fee between US$8,000 and US$20,000.
2. As of the date of this article, officers and/or employees of Streetwise Reports LLC (including members of their household) own securities of Treatment.com AI.
3. James Guttman wrote this article for Streetwise Reports LLC and provides services to Streetwise Reports as an employee.
4. This article does not constitute investment advice and is not a solicitation for any investment. Streetwise Reports does not render general or specific investment advice and the information on Streetwise Reports should not be considered a recommendation to buy or sell any security. Each reader is encouraged to consult with his or her personal financial adviser and perform their own comprehensive investment research. By opening this page, each reader accepts and agrees to Streetwise Reports' terms of use and full legal disclaimer. Streetwise Reports does not endorse or recommend the business, products, services or securities of any company.
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* Disclosure for the quote from the Clive Maund article published on [Date]

1. For the quoted article (published on [Date]), the Company has paid Street Smart, an affiliate of Streetwise Reports, between US$1,500 and US$2,500.
2. Author Certification and Compensation: [Clive Maund of clivemaund.com] is being compensated as an independent contractor by Street Smart, an affiliate of Streetwise Reports, for writing the article quoted. Maund received his UK Technical Analysts’ Diploma in 1989. The recommendations and opinions expressed in the article accurately reflect the personal, independent, and objective views of the author regarding any and all of the designated securities discussed. No part of the compensation received by the author was, is, or will be directly or indirectly related to the specific recommendations or views expressed

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The quoted article represents the opinion and analysis of Mr. Maund, based on data available to him, at the time of writing. Mr. Maund's opinions are his own, and are not a recommendation or an offer to buy or sell securities. As trading and investing in any financial markets may involve serious risk of loss, Mr. Maund recommends that you consult with a qualified investment advisor, one licensed by appropriate regulatory agencies in your legal jurisdiction and do your own due diligence and research when making any kind of a transaction with financial ramifications. Although a qualified and experienced stock market analyst, Clive Maund is not a Registered Securities Advisor. Therefore Mr. Maund's opinions on the market and stocks cannot be only be construed as a recommendation or solicitation to buy and sell securities.

¹Source bodies including: https://www.aamc.org/; https://www.uems.eu/; https://www.nmc.org.in/; Education – GMC (gmc-uk.org)

( Companies Mentioned: TRUE:CSE; TREIF:OTCMKTS;939:FRA, )

Lindsey Smith was recognized by the North Carolina Society for Public Health Education as a new health educator in North Carolina who has made outstanding contributions to the profession.

Representatives from Public Health�s Women, Infants and Children program will be attending the upcoming Family Fair at Catawba Valley Community College (CVCC) April 16 from 10:00 a.m. to 2:00 p.m. to provide information and schedule appointments for families who qualify for WIC assistance.

The annual Foothills Regional Conference for Parent Educators will be held Friday, June 3 from 9:00am until 2:00pm at the Catawba County Cooperative Extension Center in Newton. The 2011 theme is Helping Families Do More with Less.

More than 120 people recently attended the seventh annual Foothills Regional Conference for Early Childhood Educators in Statesville. This year�s conference theme, "You Make a Powerful Difference", explored the difference that early childhood educators make in the lives of young children.

New State food rules recently put in place are expected to enforce safe food handling and reduce transmission of food-borne illness.

A new County Solid Waste Franchise with Republic Services (formerly known as GDS), effective July 1, is bringing expanded recycling, new fee schedule, services.

Although there is evidence of harmful health and ecological effects associated with exposure to high doses of chemicals known as hormonally active agents – or endocrine disrupters – little is understood about the harm posed by exposure to the substances at low concentrations, such as those that typically exist in the environment, says a new report from a National Research Council committee.

The National Institutes of Health and the U.S. Department of Education should promote routine early screenings of children for autistic spectrum disorders, much like they are promoted for vision and hearing problems, says a new report from the National Research Council of the National Academies.

To ensure that minority students who are poorly prepared for school are not assigned to special education for that reason, educators should be required to first provide them with high-quality instruction and social support in a general education classroom before making a determination that special education is needed.

To meet the bodys daily energy and nutritional needs while minimizing risk for chronic disease, adults should get 45 percent to 65 percent of their calories from carbohydrates, 20 percent to 35 percent from fat, and 10 percent to 35 percent from protein.

Good morning. I am Richard Bonnie, chair of the Committee on Developing a Strategy to Reduce and Prevent Underage Drinking.

Welcome to the public release of the latest Institute of Medicine report on the quality of health care in America.

To significantly reduce the tens of thousands of deaths and injuries caused by medical errors every year, health care organizations must adopt information technology systems that are capable of collecting and sharing essential health information on patients and their care, says a new report by the Institute of Medicine of the National Academies.