Social Media: Effect, Affect, Teens, and Possible Addiction

Panel Chair: Lisa Nevans, Montgomery College Rockville Maryland Papers Presented: The iGen Gap: Teenagers viewpoints on social media\u27s power over body image, mental health and brain development The Effects of Technology on K-12 Students This paper presents a case study on groups of K-12 students who are taught using innovation-centered teaching where curriculum is based on optimizing individual creative inclinations to create a simulation of product development to learn subjects that are taught in traditional classrooms. The groups consist of students from a diverse set of cultural backgrounds to gain a more well-rounded sample of how students learn using technology. The aim of this paper is to showcase methods that teach students to communicate their ideas effectively, formulate designs, and execute ideas by tailoring curriculum to a student’s natural aptitudes; students can find more fulfillment and develop critical skills for success after their academic career. Followers of the Facade: The Rising Addiction of Social Media This research will focus on the psychological effects contributing and resulting from the growing addiction to social media. Social media allows the ability to connect with friends, family and provides a place where ideas and memories can be shared. However, when the content shared is filtered, it creates a false persona established solely to be deemed valued and relevant by followers. The other portion of the research will focus on the inadequacy followers are left with when the content of their reality is not as intriguing as the realities they view online. Social media is a space that allows people to express, influence, and share aspects of their lives, but when these aspects are filtered, it creates a distorted perception of reality

Designing for change through “reflecting and doing”: the CGIAR Community of Practice on Gender- Transformative Research Methodologies

Gender-transformative change requires a commitment from everyone involved in agricultural research for development (AR4D) including organizations at international and national level, individual researchers and practitioners, farmers, development agencies, policy-makers and consumers, to transform the existing values, practices and priorities that (re)produce and perpetuate gender biases and inequities in agrifood systems. However, the adoption of a gender transformative agenda can be challenging, especially for AR4D organizations whose primary focus is not necessarily the attainment of gender equality. This paper looks at a collective, bottom-up, transformative effort within the AR4D organization of CGIAR. It advances the emerging CGIAR Community of Practice on Gender Transformative Research Methodologies (GTRM-CoP) as a case study to explore the potential of CoPs as social learning systems that create the conditions for transformation-oriented learning. Driven by an ethos of reflecting and doing anchored in critical and feminist principles and social learning praxis, the GTRM-CoP aims to be a safe space to spur reflexivity, creativity and collaboration to support existing work on gender transformation in CGIAR while re-imagining how gender in AR4D is conceptualized, negotiated and advanced. The paper focuses on the process leading to the development of the CoP, that is, designing for change, which is crucial for sustained transformation

Smart partnerships in education: what are they?

This paper which arises from EDUsummIT 2015 provides an overview of the development of a working definition of Smart Partnerships (SP) in education before describing and analysing three potential SPs of which only one is identified as a SP.Further research and development of SPs are recommended to further understand SPs and to unleash the potential of digital technologies in education

Susceptibility to the common cold virus is associated with day length.

Seasonal rhythms are endogenous timing mechanisms that allow animals living at temperate latitudes to synchronize their physiology to the seasons. Human viral respiratory disease is prevalent in the winter at temperate latitudes, but the role of endogenous mechanisms in these recurring annual patterns is unclear. The Common Cold Project is a repository of data describing the experimental viral challenge of 1,337 participants across the seasons of the year. We report a secondary analysis of these data to investigate if susceptibility to the common cold is associated with day length. The majority of the participants (78%) showed signs of infection but only 32% developed clinical signs of disease, and the probability of infection was significantly higher in longer day lengths (summer), but the disease was more likely in short (winter) day lengths. The persistence of winter disease patterns in experimental conditions supports the role of endogenous seasonality in human susceptibility to viral infection

The Universal Protein Resource (UniProt)

The Universal Protein Resource (UniProt) provides the scientific community with a single, centralized, authoritative resource for protein sequences and functional information. Formed by uniting the Swiss-Prot, TrEMBL and PIR protein database activities, the UniProt consortium produces three layers of protein sequence databases: the UniProt Archive (UniParc), the UniProt Knowledgebase (UniProt) and the UniProt Reference (UniRef) databases. The UniProt Knowledgebase is a comprehensive, fully classified, richly and accurately annotated protein sequence knowledgebase with extensive cross-references. This centrepiece consists of two sections: UniProt/Swiss-Prot, with fully, manually curated entries; and UniProt/TrEMBL, enriched with automated classification and annotation. During 2004, tens of thousands of Knowledgebase records got manually annotated or updated; we introduced a new comment line topic: TOXIC DOSE to store information on the acute toxicity of a toxin; the UniProt keyword list got augmented by additional keywords; we improved the documentation of the keywords and are continuously overhauling and standardizing the annotation of post-translational modifications. Furthermore, we introduced a new documentation file of the strains and their synonyms. Many new database cross-references were introduced and we started to make use of Digital Object Identifiers. We also achieved in collaboration with the Macromolecular Structure Database group at EBI an improved integration with structural databases by residue level mapping of sequences from the Protein Data Bank entries onto corresponding UniProt entries. For convenient sequence searches we provide the UniRef non-redundant sequence databases. The comprehensive UniParc database stores the complete body of publicly available protein sequence data. The UniProt databases can be accessed online (http://www.uniprot.org) or downloaded in several formats (ftp://ftp.uniprot.org/pub). New releases are published every two week

UniProt: the Universal Protein knowledgebase

To provide the scientific community with a single, centralized, authoritative resource for protein sequences and functional information, the Swiss‐Prot, TrEMBL and PIR protein database activities have united to form the Universal Protein Knowledgebase (UniProt) consortium. Our mission is to provide a comprehensive, fully classified, richly and accurately annotated protein sequence knowledgebase, with extensive cross‐references and query interfaces. The central database will have two sections, corresponding to the familiar Swiss‐Prot (fully manually curated entries) and TrEMBL (enriched with automated classification, annotation and extensive cross‐references). For convenient sequence searches, UniProt also provides several non‐redundant sequence databases. The UniProt NREF (UniRef) databases provide representative subsets of the knowledgebase suitable for efficient searching. The comprehensive UniProt Archive (UniParc) is updated daily from many public source databases. The UniProt databases can be accessed online (http://www.uniprot.org) or downloaded in several formats (ftp://ftp.uniprot.org/pub). The scientific community is encouraged to submit data for inclusion in UniPro

The Universal Protein Resource (UniProt): an expanding universe of protein information

The Universal Protein Resource (UniProt) provides a central resource on protein sequences and functional annotation with three database components, each addressing a key need in protein bioinformatics. The UniProt Knowledgebase (UniProtKB), comprising the manually annotated UniProtKB/Swiss-Prot section and the automatically annotated UniProtKB/TrEMBL section, is the preeminent storehouse of protein annotation. The extensive cross-references, functional and feature annotations and literature-based evidence attribution enable scientists to analyse proteins and query across databases. The UniProt Reference Clusters (UniRef) speed similarity searches via sequence space compression by merging sequences that are 100% (UniRef100), 90% (UniRef90) or 50% (UniRef50) identical. Finally, the UniProt Archive (UniParc) stores all publicly available protein sequences, containing the history of sequence data with links to the source databases. UniProt databases continue to grow in size and in availability of information. Recent and upcoming changes to database contents, formats, controlled vocabularies and services are described. New download availability includes all major releases of UniProtKB, sequence collections by taxonomic division and complete proteomes. A bibliography mapping service has been added, and an ID mapping service will be available soon. UniProt databases can be accessed online at http://www.uniprot.org or downloaded at ftp://ftp.uniprot.org/pub/database

The Universal Protein Resource (UniProt)

The Universal Protein Resource (UniProt) provides the scientific community with a single, centralized, authoritative resource for protein sequences and functional information. Formed by uniting the Swiss-Prot, TrEMBL and PIR protein database activities, the UniProt consortium produces three layers of protein sequence databases: the UniProt Archive (UniParc), the UniProt Knowledgebase (UniProt) and the UniProt Reference (UniRef) databases. The UniProt Knowledgebase is a comprehensive, fully classified, richly and accurately annotated protein sequence knowledgebase with extensive cross-references. This centrepiece consists of two sections: UniProt/Swiss-Prot, with fully, manually curated entries; and UniProt/TrEMBL, enriched with automated classification and annotation. During 2004, tens of thousands of Knowledgebase records got manually annotated or updated; we introduced a new comment line topic: TOXIC DOSE to store information on the acute toxicity of a toxin; the UniProt keyword list got augmented by additional keywords; we improved the documentation of the keywords and are continuously overhauling and standardizing the annotation of post-translational modifications. Furthermore, we introduced a new documentation file of the strains and their synonyms. Many new database cross-references were introduced and we started to make use of Digital Object Identifiers. We also achieved in collaboration with the Macromolecular Structure Database group at EBI an improved integration with structural databases by residue level mapping of sequences from the Protein Data Bank entries onto corresponding UniProt entries. For convenient sequence searches we provide the UniRef non-redundant sequence databases. The comprehensive UniParc database stores the complete body of publicly available protein sequence data. The UniProt databases can be accessed online (http://www.uniprot.org) or downloaded in several formats (ftp://ftp.uniprot.org/pub). New releases are published every two weeks

Revealing mammalian evolutionary relationships by comparative analysis of gene clusters

Many software tools for comparative analysis of genomic sequence data have been released in recent decades. Despite this, it remains challenging to determine evolutionary relationships in gene clusters due to their complex histories involving duplications, deletions, inversions, and conversions. One concept describing these relationships is orthology. Orthologs derive from a common ancestor by speciation, in contrast to paralogs, which derive from duplication. Discriminating orthologs from paralogs is a necessary step in most multispecies sequence analyses, but doing so accurately is impeded by the occurrence of gene conversion events. We propose a refined method of orthology assignment based on two paradigms for interpreting its definition: by genomic context or by sequence content. X-orthology (based on context) traces orthology resulting from speciation and duplication only, while N-orthology (based on content) includes the influence of conversion events