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Acknowledgements for the Sixth Volume of Papers on Postsecondary Learning and Teaching...iv Moving Forward in a Good Way: Nurturing the Spirit of Learning in Postsecondary Education ...i-iii Natoonikew Aansaamb...17-27 Not So “Mainstream”: The Need for Models of Indigenous Mentorship...1-8 Knowing Community through Story: It's Where We Come Together...9-16 Indigeneity, Positionality, and Ethical Space...36-48 Looking Back to Find a Way Forward...49-55 Integrating Indigenous Perspectives into Teacher Education in Alberta...28-35

In epidemiological studies, dairy food consumption has been associated with minimal effect or decreased risk of some cardiometabolic diseases (CMD). However, current methods of dietary assessment do not provide objective and accurate measures of food intakes. Thus, the identification of valid and reliable biomarkers of dairy product intake is an important challenge to best determine the relationship between dairy consumption and health status. This review investigated potential biomarkers of dairy fat consumption, such as odd-chain, trans- and branched-chain fatty acids (FA), which may improve the assessment of full-fat dairy product consumption. Overall, the current use of serum/plasma FA as biomarkers of dairy fat consumption is mostly based on observational evidence, with a lack of well-controlled, dose–response intervention studies to accurately assess the strength of the relationship. Circulating odd-chain SFA and trans-palmitoleic acid are increasingly studied in relation to CMD risk and seem to be consistently associated with a reduced risk of type 2 diabetes in prospective cohort studies. However, associations with CVD are less clear. Overall, adding less studied FA such as vaccenic and phytanic acids to the current available evidence may provide a more complete assessment of dairy fat intake and minimise potential confounding from endogenous synthesis. Finally, the current evidence base on the direct effect of dairy fatty acids on established biomarkers of CMD risk (e.g. fasting lipid profiles and markers of glycaemic control) mostly derives from cross-sectional, animal and in vitro studies and should be strengthened by well-controlled human intervention studies.

Biosorption of metal ions by phototrophic microorganisms is regarded as a sustainable and alternative method for bioremediation and metal recovery. In this study, 12 cyanobacterial strains, including 7 terrestrial and 5 aquatic cyanobacteria, covering a broad phylogenetic diversity were investigated for their potential application in the enrichment of rare earth elements through biosorption. A screening for the maximum adsorption capacity of cerium, neodymium, terbium, and lanthanum was conducted in which Nostoc sp. 20.02 showed the highest adsorption capacity with 84.2–91.5 mg g-1. Additionally, Synechococcus elongatus UTEX 2973, Calothrix brevissima SAG 34.79, Desmonostoc muscorum 90.03, and Komarekiella sp. 89.12 were promising candidate strains, with maximum adsorption capacities of 69.5–83.4 mg g-1, 68.6–83.5 mg g-1, 44.7–70.6 mg g-1, and 47.2–67.1 mg g-1 respectively. Experiments with cerium on adsorption properties of the five highest metal adsorbing strains displayed fast adsorption kinetics and a strong influence of the pH value on metal uptake, with an optimum at pH 5 to 6. Studies on binding specificity with mixed-metal solutions strongly indicated an ion-exchange mechanism in which Na+, K+, Mg2+, and Ca2+ ions are replaced by other metal cations during the biosorption process. Depending on the cyanobacterial strain, FT-IR analysis indicated the involvement different functional groups like hydroxyl and carboxyl groups during the adsorption process. Overall, the application of cyanobacteria as biosorbent in bioremediation and recovery of rare earth elements is a promising method for the development of an industrial process and has to be further optimized and adjusted regarding metal-containing wastewater and adsorption efficiency by cyanobacterial biomass.

LIVE!sTREAMs!* FIS Nordic Combined Continental Cup Ruka 2022 Live Free Tv BROADCAST CLICK TO WATCH FREE LIVE It can be hard to know where to watch rugby on TV — especially in the US. Read on to learn how to watch wherever you live!Rugby is a sport that is already immensely popular in certain parts of the world and is starting to gain traction in countries such as the United States and Canada. As a result, interest in streaming rugby matches is significant/increasing. Streaming your favorite sport is not always easy, especially when you’re trying to watch from another country. Interest in rugby, a contact sport similar in many ways to football, has been steadily growing in the United States for some years now. While it’s easier than ever to find a local team to play with, it’s not so easy to watch a professional rugby game in the United States. If you’re a dedicated rugby fan looking to watch professional games, there is some good news for you. While there are quite a few ways to stream live rugby games in the US, you’ll have to stay up late to catch the game (or in some cases wake up early). We’re taking a look at some of the most efficient ways to stream rugby, no matter what country the game is taking place in. Here’s a quick preview of some upcoming games that you can stream live. All times are in Eastern and Pacific Time. 2021-09-09: Version 6.0.0 was created. Now includes data for the North Sea Link (NSL) interconnector from Great Britain to Norway (https://www.northsealink.com). The previous version (5.0.4) should not be used - as there was an error with interconnector data having a static value over the summer 2021.dd Version 144 of the dataset. MAJOR CHANGE NOTE: The dataset files: full_dataset.tsv.gz and full_dataset_clean.tsv.gz have been split in 1 GB parts using the Linux utility called Split. So make sure to join the parts before unzipping. We had to make this change as we had huge issues uploading files larger than 2GB's (hence the delay in the dataset releases). The peer-reviewed publication for this dataset has now been published in Epidemiologia an MDPI journal, and can be accessed here: https://doi.org/10.3390/epidemiologia2030024. Please cite this when using the dataset.gd This dataset contains impact metrics and indicators for a set of publications that are related to the COVID-19 infectious disease and the coronavirus that causes it. It is based on:gs Τhe CORD-19 dataset released by the team of Semantic Scholar1 and Τhe curated data provided by the LitCovid hub2.sa These data have been cleaned and integrated with data from COVID-19-TweetIDs and from other sources (e.g., PMC). The result was dataset of 621,235 unique articles along with relevant metadata (e.g., the underlying citation network). We utilized this dataset to produce, for each article, the values of the following impact measures:gww Influence: Citation-based measure reflecting the total impact of an article. This is based on the PageRank3 network analysis method. In the context of citation networks, it estimates the importance of each article based on its centrality in the whole network. This measure was calculated using the PaperRanking (https://github.com/diwis/PaperRanking) library4.sff Influence_alt: Citation-based measure reflecting the total impact of an article. This is the Citation Count of each article, calculated based on the citation network between the articles contained in the BIP4COVID19 dataset. Popularity: Citation-based measure reflecting the current impact of an article. This is based on the AttRank5 citation network analysis method. Methods like PageRank are biased against recently published articles (new articles need time to receive their first citations). AttRank alleviates this problem incorporating an attention-based mechanism, akin to a time-restricted version of preferential attachment, to explicitly capture a researcher's preference to read papers which received a lot of attention recently. This is why it is more suitable to capture the current "hype" of an article.ggwsw Due to the relevance of the COVID-19 global pandemic, we are releasing our dataset of tweets acquired from the Twitter Stream related to COVID-19 chatter. Since our first release we have received additional data from our new collaborators, allowing this resource to grow to its current size. Dedicated data gathering started from March 11th yielding over 4 million tweets a day. We have added additional data provided by our new collaborators from January 27th to March 27th, to provide extra longitudinal coverage. Version 10 added ~1.5 million tweets in the Russian language collected between January 1st and May 8th, gracefully provided to us by: Katya Artemova (NRU HSE) and Elena Tutubalina (KFU). From version 12 we have included daily hashtags, mentions and emoijis and their frequencies the respective zip files. From version 14 we have included the tweet identifiers and their respective language for the clean version of the dataset. Since version 20 we have included language and place location for all tweets.dfgg 2021-05-05: Version 5.0.0 was created. Datetimes now in ISO 8601 format (with capital letter 'T' between the date and time) rather than previously with a space (to RFC 3339 format) and with an offset to identify both UTC and localtime. MW values now all saved as integers rather than floats. Elexon data as always from www.elexonportal.co.uk/fuelhh, National Grid data from https://data.nationalgrideso.com/demand/historic-demand-data Raw data now added again for comparison of pre and post cleaning - to allow for training of additional cleaning methods. If using Microsoft Excel, the T between the date and time can be removed using the =SUBSTITUTE() command - and substitute "T" for a space " "gww 2021-03-02: Version 4.0.0 was created. Due to a new interconnecter (IFA2 - https://en.wikipedia.org/wiki/IFA-2) being commissioned in Q1 2021, there is an additional column with data from National Grid - this is called 'POWER_NGEM_IFA2_FLOW_MW' in the espeni dataset. In addition, National Grid has dropped the column name 'FRENCH_FLOW' that used to provide the value for the column 'POWER_NGEM_FRENCH_FLOW_MW' in previous espeni versions. However, this has been changed to 'IFA_FLOW' in National Grid's original data, which is now called 'POWER_NGEM_IFA_FLOW_MW' in the espeni dataset. Lastly, the IO14 columns have all been dropped by National Grid - and potentially unlikely to appear again in future.fgwf 2020-12-02: Version 3.0.0 was created. There was a problem with earlier versions local time format - where the +01:00 value was not carried through into the data properly. Now addressed - therefore - local time now has the format e.g. 2020-03-31 20:00:00+01:00 when in British Summer Time.stuu 2020-10-03: Version 2.0.0 was created as it looks like National Grid has had a significant change to the methodology underpinning the embedded wind calculations. The wind profile seems similar to previous values, but with an increasing value in comparison to the value published in earlier the greater the embedded value is. The 'new' values are from https://data.nationalgrideso.com/demand/daily-demand-update from 2013.fgew Previously: raw and cleaned datasets for Great Britain's publicly available electrical data from Elexon (www.elexonportal.co.uk) and National Grid (https://demandforecast.nationalgrid.com/efs_demand_forecast/faces/DataExplorer). Updated versions with more recent data will be uploaded with a differing version number and doidf All data is released in accordance with Elexon's disclaimer and reservation of rights.derrr This disclaimer is also felt to cover the data from National Grid, and the parsed data from the Energy Informatics Group at the University of Birmingham.

The European Medicines Agency (EMA) started operating under its new legal mandate on 1 April 2022. The mandate brings new responsibilities to the Agency in three different areas: • Reinforcement of the role and activities of the EMA pandemic Task Force(which is now known as the Emergency Task Force (ETF)). • A stronger role of EMA in the monitoring of shortages of critical medicines, medical devices and in-vitro diagnostics, both in anticipation of and during a crisis. • A more coordinated mechanism of European Union (EU) experts advice on medical devices classified as high-risk (class IIa and III or class D (1)) and in-vitro diagnostic medical devices. Here we consider the impact of the COVID-19 pandemic on the operations of EMA and the European medicines regulatory network, and how EMA’s new mandate will strengthen the Agency’s and the Network’s ability to face crises. EMA’s extended mandate brings clear benefits in terms of response to public health emergencies at EU level, which ranges from improvements in crisis management to avoiding medicine shortages and improving access to diagnostics and medical devices that are safe and conform to their expected function.

DIS2022 conference presentation

PRUF Working Paper No. 1

This paper is on a brief interpretation of class P and NP as bounds over the number of jumps between strings in an infinite Hamming cube consisting all the instances of a language on a Turing machine’s tape. It is shown that P and NP are more comparable when defined in Hamming space respecting its cubic structure; while, this results P = NP.

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In order to survive and thrive, man has required and utilized energy at an increasing pace ever since he first appeared on the planet a few million years ago. As a result, a significant amount of energy has been depleted and squandered. In nations with large populations, such as India and China, where fitness centres are very popular, the idea of repurposing waste energy generated by gym pulleys is a no-brainer. We're using a non-traditional approach to generate electrical power in this project by just pulling up and pulling down. Our country's reliance on non-traditional sources of energy is more important than ever. The conversion of mechanical energy to electrical energy occurs via non-conventional energy sources such as pull-ups and pull-downs. Force energy is converted into electrical energy in this project. Modern technology has made it feasible to use human power in a more effective method for generating. Pull up pull down power is a great source of energy, with 95 percent of the effort put into it being turned into energy. The business has introduced a human-powered energy producing system for the public to see. To generate electricity, the user of this device must raise and lower gym equipment. &nbsp

Iron reduction and sulfate reduction often occur simultaneously in anoxic systems, and where that is the case, the molar ratio between the reactions (i.e., Fe/SO42- reduced) influences their impact on water quality and carbon storage. Previous research has shown that pH and the supply of electron donors and acceptors affect that ratio, but it is unclear how their influences compare and affect one another. This study examines impacts of pH and the supply of acetate, sulfate, and goethite on the ratio of iron to sulfate reduction in semi-continuous sediment bioreactors. We examined which parameter had the greatest impact on that ratio and whether the parameter influences depended on the state of each other. Results show that pH had a greater influence than acetate supply on the ratio of iron to sulfate reduction, and that the impact of acetate supply on the ratio depended on pH. In acidic reactors (pH 6.0 media), the ratio of iron to sulfate reduction decreased from 3:1 to 2:1 as acetate supply increased (0-1 mM). In alkaline reactors (pH 7.5 media), iron and sulfate were reduced in equal proportions, regardless of acetate supply. Secondly, a comparison of experiments with and without sulfate shows that the extent of iron reduction was greater if sulfate reduction was occurring and that the effect was larger in alkaline reactors than acidic reactors. Thus, the influence of sulfate supply on iron reduction extent also depended on pH and suggests that iron reduction grows more dependent on sulfate reduction as pH increases. Our results compare well to trends in groundwater geochemistry and provide further evidence that pH is a major control on iron and sulfate reduction in systems with crystalline (oxyhydr)oxides. pH not only affects the ratio between the reactions but also the influences of other parameters on that ratio.

In analogy to higher plants, eukaryotic microalgae are thought to be incapable of utilizing green light for growth, due to the "green gap" in the absorbance profiles of their photosynthetic pigments. This study demonstrates, that the marine chlorophyte

Exploring Mentorship in Higher Education: Introduction to the Fifth Volume of Papers on Postsecondary Learning and Teaching...i-v Reciprocal Mentoring as a Method to Enhance Doctoral Success...9-16 Leadership, SoTL, and Mentorship in a Teaching Scholars Community of Practice...93-99 The Role of Mentorship in Internships...42-50 Performing Mentorship in Collaborative Research Teams...86-92 Shifting Values and Voices: An Exploration in Holistic Mentorship Evaluation...108-115 Co-Teaching as Mentors: Maximizing Instructor and Librarian Collaboration for Teaching Information Literacy Skills...75-85 Building Assistive Communities: The Potential of Liberating Structures for In-Class Peer Mentorship...59-66 Exploring the Transition of Health Workers from Students to Professionals...25-33 Beyond Tradition: Innovative Mentorship Models for Higher Education...1-8 Making Teaching Communal: Peer Mentoring through Teaching Squares...67-74 Integrating Mentorship in Workplace-Integrated Learning Curriculum...34-41 Unstable Ground: How Mentorship Altered Our View of Experiential and Active Education on Student Learning...51-58 Disrupting the Hierarchy: Mentoring Graduate Students as Co-educators...17-24 Professor Emeritus : A “Neglected” Mentor on University Campuses...100-107

In this study water soluble compounds that form complexes with Rare Earth Elements (REE) and other metals were isolated from Calothrix brevissima biomass with chromatographic methods for the first time. Molecular characterization showed that the isolated compounds are most likely polysaccharides comprised of arabinose, xylose, mannose, galactose and glucose. FT-IR analysis revealed functional groups involved in the binding mechanism of Tb are likely sulfate- and to a lesser extend hydroxyl-groups. The binding specificity of the isolated compounds was investigated with different metal solutions. Here, ions of the alkali and alkaline earth metals Na, K, Mg and Ca showed no competition for Tb-binding even at 10-fold excess concentration. Ions of the elements Co and Pb on the other hand replaced Tb at higher concentrations. Addition of the isolated compounds significantly reduced the precipitation of Eu at pH-values between 6.7 and 9.5, indicating that the interaction between the isolated chelators and Rare Earth Metals is stable even at high pH-values.

To assess the cross-sectional association between dietary indexes (DI) that underlie, respectively, the Nutri-score (NS), the proposed Canadian 'High In' Symbol (CHIL) and the Diabetes Canada Clinical Practice Guidelines (DCCP) with food consumption, nutrient intakes and metabolic markers.1836 adults (18-74 years) participating in the representative ESTEBAN study, conducted in mainland France in 2014-2016, were included in the analysis. Food consumption was assessed with three repeated 24 h dietary recalls. Anthropometric measurements and biomarkers of metabolic risk (cholesterol-total, LDL (Low Density Lipoprotein), HDL (High Density Lipoprotein)-triglycerides, glucose) were obtained through a clinical examination and fasting blood draw. The DI were assessed for their association with food consumption, dietary intakes and metabolic biomarkers as quintiles and continuous variables using multi-adjusted linear regression. Heathier diets were assigned to lower scores.Correlations between scores ranged from + 0.62 between CHIL-DI and NS-DI to + 0.75 between NS-DI and DCCP-DI. All DIs discriminated individuals according to the nutritional quality of their diets through food consumption and nutrient intakes (healthier diets were associated with lower intakes of energy, added sugars and saturated fat; and with higher intakes of fiber, vitamins and minerals). NS-DI was associated with blood glucose (adjusted mean in Q1 = 5 vs. Q5 = 5.46 mmol/dl, pThis study provides elements supporting the validity of the nutrient profiling systems underlying front-of-package nutrition labellings (FOPLs) to characterize the healthiness of diets.

Cultivation metaphors that compare teachers and students to gardeners and plants, respectively, have a long presence in the field of education. While such metaphors can be used to represent learner-centered pedagogies in which a teacher fosters the growth of their students, there is a darker side to cultivation metaphors. For instance, Zipory (2020) argues that characteristics of agriculture’s grain economy–like repetitiveness, coercion, and lack of diversity–can be imposed onto education. Following Zipory’s call for the forest to serve as a more apt metaphorical trajectory for education, I propose using the forest garden as a middle ground between the traditional garden and the natural forest. To highlight the potential usefulness of the forest garden metaphor for higher education, I explore its application as related to teacher professional development (PD), specifically content and language integrated learning (CLIL) PD. By reflecting on the design and outcomes of Project SCILLA, a CLIL PD program for Kazakhstani university instructors, as well as CLIL PD more broadly, I demonstrate how the forest garden metaphor can complicate the relationships and power dynamics between and across various stakeholders in higher education in response to global rhetoric, national and local policies, and interpersonal interactions. By emulating the forest garden’s principles of sustainability, interconnectedness, creativity, plurality, security, and well-being, stakeholders can (re)shape how we view multilingual, multicultural, and cross-national education systems and partnerships.