Understanding School Social Workers\u27 Roles in Bullying Prevention and Intervention

The primary purpose for this research was to gain a better understanding how school social workers are assisting in bullying prevention and intervention efforts at schools. Semi-structured interviews were done with three school social workers and three school administrators from school districts around the Twin City metropolitan area, in Minnesota. Interview questions were asked regarding: understanding of roles, consideration of school bullying prevention programs, exploring opinions about bullying prevention policies, understandings of laws and policies, talking through the successes and lack of success of the current bullying program in the school and lastly, exploring roles in policy making. Findings from this study were analyzed, coded and were compared and contrasted with the literature review. Three themes appeared throughout the interviews: use of curriculum, reporting and policy, and bullying vs. conflict. The results are stated in length, followed by a discussion and the implications of the study. It is important that school social workers continue to evaluate their own bullying curriculum within their school, looking at the school\u27s climate, positive relationships with students and staff, and how they may be able to utilize the key principles towards fighting bullying within their school, as well as using a curriculum that makes sense. Special attention should also be placed on diversity and age appropriateness of what is being given to the students

Understanding School Social Workers’ Roles in Bullying Prevention and Intervention

The primary purpose for this research was to gain a better understanding how school social workers are assisting in bullying prevention and intervention efforts at schools. Semi-structured interviews were done with three school social workers and three school administrators from school districts around the Twin City metropolitan area, in Minnesota. Interview questions were asked regarding: understanding of roles, consideration of school bullying prevention programs, exploring opinions about bullying prevention policies, understandings of laws and policies, talking through the successes and lack of success of the current bullying program in the school and lastly, exploring roles in policy making. Findings from this study were analyzed, coded and were compared and contrasted with the literature review. Three themes appeared throughout the interviews: use of curriculum, reporting and policy, and bullying vs. conflict. The results are stated in length, followed by a discussion and the implications of the study. It is important that school social workers continue to evaluate their own bullying curriculum within their school, looking at the school’s climate, positive relationships with students and staff, and how they may be able to utilize the key principles towards fighting bullying within their school, as well as using a curriculum that makes sense. Special attention should also be placed on diversity and age appropriateness of what is being given to the students

Focal point pricing : a challenge to the successful implementation of section 10A (introduced by the Competition Amendment Act)

Section 10A, introduced by the Competition Amendment Act, will provide the Competition Commission with powers to investigate complex monopoly conduct in a market and, allow the Competition Tribunal under certain conditions, to prohibit such behaviour. The aim of section 10A is to discourage or prohibit coordinated or consciously parallel conduct by firms that occurs without communication or agreement but which leads to a prevention or substantial lessening of competition. Examples of horizontal tacit coordination practices include price leadership, and facilitating practices such as information exchanges and price signaling. The successful implementation of the amendment poses problems for the competition authorities in assessing the competitive effects of complex monopoly conduct and in providing effective remedies. A key reason is in oligopoly markets there is mutual interdependent decision-making by firms. Consequently, independent action by firms can lead to market outcomes similar to explicit collusion. In implementing section 10A, competition authorities can reduce the ability of firms to reach cooperative outcomes in a market by making facilitating practices difficult to achieve and curbing the ability of firms to exchange information. However, a further and little noticed issue is in oligopolistic markets there are opportunities for firms to use focal points to determine coordinated strategies. In this paper we explore the nature and role of focal point pricing that can lead to prices above competitive levels, with specific reference to the South African banking industry. We find that focal point pricing is extremely hard to control, making successful implementation of section 10A even more difficult.http://www.sajems.org/am2016Gordon Institute of Business Science (GIBS

Focal point pricing : a challenge to the successful implementation of section 10A (introduced by the Competition Amendment Act)

Section 10A, introduced by the Competition Amendment Act, will provide the Competition Commission with powers to investigate complex monopoly conduct in a market and, allow the Competition Tribunal under certain conditions, to prohibit such behaviour. The aim of section 10A is to discourage or prohibit coordinated or consciously parallel conduct by firms that occurs without communication or agreement but which leads to a prevention or substantial lessening of competition. Examples of horizontal tacit coordination practices include price leadership, and facilitating practices such as information exchanges and price signaling. The successful implementation of the amendment poses problems for the competition authorities in assessing the competitive effects of complex monopoly conduct and in providing effective remedies. A key reason is in oligopoly markets there is mutual interdependent decision-making by firms. Consequently, independent action by firms can lead to market outcomes similar to explicit collusion. In implementing section 10A, competition authorities can reduce the ability of firms to reach cooperative outcomes in a market by making facilitating practices difficult to achieve and curbing the ability of firms to exchange information. However, a further and little noticed issue is in oligopolistic markets there are opportunities for firms to use focal points to determine coordinated strategies. In this paper we explore the nature and role of focal point pricing that can lead to prices above competitive levels, with specific reference to the South African banking industry. We find that focal point pricing is extremely hard to control, making successful implementation of section 10A even more difficult.http://www.sajems.org/am2016Gordon Institute of Business Science (GIBS

Genetic Algorithm Guidance of a Constraint Programming Solver for the Multiple Traveling Salesman Problem

This project developed a metaheuristic approach to the Multiple Traveling Salesman Problem that pairs a custom genetic algorithm with a conventional combinatorial optimization solver. This combined approach was used to build an optimal route for two popular radio show hosts to visit each of the 37 Atlanta area Jersey Mike\u27s Subs in one day. This supported a fundraising eort to send children with chronic and terminal illnesses to Disney World through an organization called Bert\u27s Big Adventure. Atlanta-area Jersey Mike\u27s locations donated 100% of proceeds earned on this Day of Giving to Bert\u27s Big Adventure. With the suggested route developed through our approach, the radio hosts successfully visited all 37 Jersey Mike\u27s in one day, a task Bert\u27s Big Adventure staff members had not been able to complete in previous years

The Effects of Question Placement on Reading Comprehension Scores of High Comprehenders

Previous research has shown that embedded questions hurt the reading comprehension of high comprehenders. All participants had high reading comprehension skills scoring at or above 66 percent on the ACT/SAT. Participants either read a packet with questions embedded about every paragraph or a packet where questions were all located at the end of the reading. Participants answered the questions as they came to them. After a week of delay, the participants came back and took a test with questions that were either: target, non-target, or related. For all of the dependent variables, people who had taken a statistics course before did better than those who had not. For the dependent variable of reading questions, there was a significant interaction. People who had taken a statistics course previously and those who had not did equally well. However, when people answered end questions, people who had taken a statistics course previously did better than those who had not. Embedded questions did not negatively affect the reading comprehension of high comprehenders. It might be possible that we did not reject the null because our sample size was too small

Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure

Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies

NIST Interlaboratory Study on Glycosylation Analysis of Monoclonal Antibodies: Comparison of Results from Diverse Analytical Methods

Glycosylation is a topic of intense current interest in the development of biopharmaceuticals because it is related to drug safety and efficacy. This work describes results of an interlaboratory study on the glycosylation of the Primary Sample (PS) of NISTmAb, a monoclonal antibody reference material. Seventy-six laboratories from industry, university, research, government, and hospital sectors in Europe, North America, Asia, and Australia submit- Avenue, Silver Spring, Maryland 20993; 22Glycoscience Research Laboratory, Genos, Borongajska cesta 83h, 10 000 Zagreb, Croatia; 23Faculty of Pharmacy and Biochemistry, University of Zagreb, A. Kovacˇ ic´ a 1, 10 000 Zagreb, Croatia; 24Department of Chemistry, Georgia State University, 100 Piedmont Avenue, Atlanta, Georgia 30303; 25glyXera GmbH, Brenneckestrasse 20 * ZENIT / 39120 Magdeburg, Germany; 26Health Products and Foods Branch, Health Canada, AL 2201E, 251 Sir Frederick Banting Driveway, Ottawa, Ontario, K1A 0K9 Canada; 27Graduate School of Advanced Sciences of Matter, Hiroshima University, 1-3-1 Kagamiyama Higashi-Hiroshima 739–8530 Japan; 28ImmunoGen, 830 Winter Street, Waltham, Massachusetts 02451; 29Department of Medical Physiology, Jagiellonian University Medical College, ul. Michalowskiego 12, 31–126 Krakow, Poland; 30Department of Pathology, Johns Hopkins University, 400 N. Broadway Street Baltimore, Maryland 21287; 31Mass Spec Core Facility, KBI Biopharma, 1101 Hamlin Road Durham, North Carolina 27704; 32Division of Mass Spectrometry, Korea Basic Science Institute, 162 YeonGuDanji-Ro, Ochang-eup, Cheongwon-gu, Cheongju Chungbuk, 363–883 Korea (South); 33Advanced Therapy Products Research Division, Korea National Institute of Food and Drug Safety, 187 Osongsaengmyeong 2-ro Osong-eup, Heungdeok-gu, Cheongju-si, Chungcheongbuk-do, 363–700, Korea (South); 34Center for Proteomics and Metabolomics, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands; 35Ludger Limited, Culham Science Centre, Abingdon, Oxfordshire, OX14 3EB, United Kingdom; 36Biomolecular Discovery and Design Research Centre and ARC Centre of Excellence for Nanoscale BioPhotonics (CNBP), Macquarie University, North Ryde, Australia; 37Proteomics, Central European Institute for Technology, Masaryk University, Kamenice 5, A26, 625 00 BRNO, Czech Republic; 38Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany; 39Department of Biomolecular Sciences, Max Planck Institute of Colloids and Interfaces, 14424 Potsdam, Germany; 40AstraZeneca, Granta Park, Cambridgeshire, CB21 6GH United Kingdom; 41Merck, 2015 Galloping Hill Rd, Kenilworth, New Jersey 07033; 42Analytical R&D, MilliporeSigma, 2909 Laclede Ave. St. Louis, Missouri 63103; 43MS Bioworks, LLC, 3950 Varsity Drive Ann Arbor, Michigan 48108; 44MSD, Molenstraat 110, 5342 CC Oss, The Netherlands; 45Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, 5–1 Higashiyama, Myodaiji, Okazaki 444–8787 Japan; 46Graduate School of Pharmaceutical Sciences, Nagoya City University, 3–1 Tanabe-dori, Mizuhoku, Nagoya 467–8603 Japan; 47Medical & Biological Laboratories Co., Ltd, 2-22-8 Chikusa, Chikusa-ku, Nagoya 464–0858 Japan; 48National Institute for Biological Standards and Control, Blanche Lane, South Mimms, Potters Bar, Hertfordshire EN6 3QG United Kingdom; 49Division of Biological Chemistry & Biologicals, National Institute of Health Sciences, 1-18-1 Kamiyoga, Setagaya-ku, Tokyo 158–8501 Japan; 50New England Biolabs, Inc., 240 County Road, Ipswich, Massachusetts 01938; 51New York University, 100 Washington Square East New York City, New York 10003; 52Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, United Kingdom; 53GlycoScience Group, The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland; 54Department of Chemistry, North Carolina State University, 2620 Yarborough Drive Raleigh, North Carolina 27695; 55Pantheon, 201 College Road East Princeton, New Jersey 08540; 56Pfizer Inc., 1 Burtt Road Andover, Massachusetts 01810; 57Proteodynamics, ZI La Varenne 20–22 rue Henri et Gilberte Goudier 63200 RIOM, France; 58ProZyme, Inc., 3832 Bay Center Place Hayward, California 94545; 59Koichi Tanaka Mass Spectrometry Research Laboratory, Shimadzu Corporation, 1 Nishinokyo Kuwabara-cho Nakagyo-ku, Kyoto, 604 8511 Japan; 60Children’s GMP LLC, St. Jude Children’s Research Hospital, 262 Danny Thomas Place Memphis, Tennessee 38105; 61Sumitomo Bakelite Co., Ltd., 1–5 Muromati 1-Chome, Nishiku, Kobe, 651–2241 Japan; 62Synthon Biopharmaceuticals, Microweg 22 P.O. Box 7071, 6503 GN Nijmegen, The Netherlands; 63Takeda Pharmaceuticals International Co., 40 Landsdowne Street Cambridge, Massachusetts 02139; 64Department of Chemistry and Biochemistry, Texas Tech University, 2500 Broadway, Lubbock, Texas 79409; 65Thermo Fisher Scientific, 1214 Oakmead Parkway Sunnyvale, California 94085; 66United States Pharmacopeia India Pvt. Ltd. IKP Knowledge Park, Genome Valley, Shamirpet, Turkapally Village, Medchal District, Hyderabad 500 101 Telangana, India; 67Alberta Glycomics Centre, University of Alberta, Edmonton, Alberta T6G 2G2 Canada; 68Department of Chemistry, University of Alberta, Edmonton, Alberta T6G 2G2 Canada; 69Department of Chemistry, University of California, One Shields Ave, Davis, California 95616; 70Horva´ th Csaba Memorial Laboratory for Bioseparation Sciences, Research Center for Molecular Medicine, Doctoral School of Molecular Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Egyetem ter 1, Hungary; 71Translational Glycomics Research Group, Research Institute of Biomolecular and Chemical Engineering, University of Pannonia, Veszprem, Egyetem ut 10, Hungary; 72Delaware Biotechnology Institute, University of Delaware, 15 Innovation Way Newark, Delaware 19711; 73Proteomics Core Facility, University of Gothenburg, Medicinaregatan 1G SE 41390 Gothenburg, Sweden; 74Department of Medical Biochemistry and Cell Biology, University of Gothenburg, Institute of Biomedicine, Sahlgrenska Academy, Medicinaregatan 9A, Box 440, 405 30, Gothenburg, Sweden; 75Department of Clinical Chemistry and Transfusion Medicine, Sahlgrenska Academy at the University of Gothenburg, Bruna Straket 16, 41345 Gothenburg, Sweden; 76Department of Chemistry, University of Hamburg, Martin Luther King Pl. 6 20146 Hamburg, Germany; 77Department of Chemistry, University of Manitoba, 144 Dysart Road, Winnipeg, Manitoba, Canada R3T 2N2; 78Laboratory of Mass Spectrometry of Interactions and Systems, University of Strasbourg, UMR Unistra-CNRS 7140, France; 79Natural and Medical Sciences Institute, University of Tu¨ bingen, Markwiesenstrae 55, 72770 Reutlingen, Germany; 80Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands; 81Division of Bioanalytical Chemistry, Amsterdam Institute for Molecules, Medicines and Systems, Vrije Universiteit Amsterdam, de Boelelaan 1085, 1081 HV Amsterdam, The Netherlands; 82Department of Chemistry, Waters Corporation, 34 Maple Street Milford, Massachusetts 01757; 83Zoetis, 333 Portage St. Kalamazoo, Michigan 49007 Author’s Choice—Final version open access under the terms of the Creative Commons CC-BY license. Received July 24, 2019, and in revised form, August 26, 2019 Published, MCP Papers in Press, October 7, 2019, DOI 10.1074/mcp.RA119.001677 ER: NISTmAb Glycosylation Interlaboratory Study 12 Molecular & Cellular Proteomics 19.1 Downloaded from https://www.mcponline.org by guest on January 20, 2020 ted a total of 103 reports on glycan distributions. The principal objective of this study was to report and compare results for the full range of analytical methods presently used in the glycosylation analysis of mAbs. Therefore, participation was unrestricted, with laboratories choosing their own measurement techniques. Protein glycosylation was determined in various ways, including at the level of intact mAb, protein fragments, glycopeptides, or released glycans, using a wide variety of methods for derivatization, separation, identification, and quantification. Consequently, the diversity of results was enormous, with the number of glycan compositions identified by each laboratory ranging from 4 to 48. In total, one hundred sixteen glycan compositions were reported, of which 57 compositions could be assigned consensus abundance values. These consensus medians provide communityderived values for NISTmAb PS. Agreement with the consensus medians did not depend on the specific method or laboratory type. The study provides a view of the current state-of-the-art for biologic glycosylation measurement and suggests a clear need for harmonization of glycosylation analysis methods. Molecular & Cellular Proteomics 19: 11–30, 2020. DOI: 10.1074/mcp.RA119.001677.L

Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure

Abstract: Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies