bee venom 2020
226231563
Abstracts, 12th Symposium of the Working Group on Insect Venom Allergy, German Society of Allergy and Clinical Immunology (DGAKI) Frankfurt, Germany, November 20/21, 2020
s, 12th Symposium of the Working Group on Insect Venom Allergy, German Society of Allergy and Clinical Immunology (DGAKI) Frankfurt, Germany, November 20/21, 2020 Bionomics, venomics and diagnostics
Allergo Journal
Lisa Arzt-Gradwohl S Herzog Christoph Schrautzer Karin Laipold Johanna Stoevesandt Axel Trautmann Martina Vachova Thomas Hawranek Roland Lang Teresa Alfaya Arias Marta Chelminska Karolina Kita Valerio Pravettoni Radoslaw Gawlik Berta Ruiz-Leon
222145090
Abstracts, 12th Symposium of the Working Group on Insect Venom Allergy, German Society of Allergy and Clinical Immunology (DGAKI) Frankfurt, Germany, November 20/21, 2020
1 3 248 Allergo J Int (2020) 29:248 255 https: doi.org/ 10.1007/ s4062902000143 5 Online publiziert: 6 October 2020 (c) Springer Medizin Verlag GmbH, ein Teil von Springer Nature 2020 Abstracts, 12th Symposium of the Working Group on Insect Venom Allergy, German Society of Allergy and Clinical Immunology (DGAKI) Frankfurt, Germany, November 20/21, 2020 Bionomics, Venomics and Diagnostics
Allergo Journal International
Alexander Kapp Bettina Wedi Wojciech Francuzik Margitta Worm Lisa Arzt-Gradwohl S Herzog Christoph Schrautzer Karin Laipold Johanna Stoevesandt Axel Trautmann Martina Vachova Thomas Hawranek Roland Lang Teresa Alfaya Arias Marta Chelminska Karolina Kita Valerio Pravettoni Radoslaw Gawlik Berta Ruiz-Leon
221122417
Purification and Characterization of the Pink Floyd Drillipeptide, a Bioactive Venom Peptide from Clavus davidgilmouri (Gastropoda: Conoidea: Drilliidae)
The cone snails (family Conidae) are the best known and most intensively studied venomous marine gastropods. However, of the total biodiversity of venomous marine mollusks (superfamily Conoidea, >20,000 species) cone snails comprise a minor fraction. The venoms of the family Drilliidae, a highly diversified family in Conoidea, have not previously been investigated. In this report, we provide the first biochemical characterization of a component in a Drilliidae venom and define a gene superfamily of venom peptides. A bioactive peptide, cdg14a, was purified from the venom of Clavus davidgilmouri Fedosov and Puillandre, 2020. The peptide is small (23 amino acids) disulfide rich (4 cysteine residues) and belongs to the J like drillipeptide gene superfamily. Other members of this superfamily share a conserved signal sequence and the same arrangement of cysteine residues in their predicted mature peptide sequences. The cdg14a peptide was chemically synthesized in its bioactive form. It elicited scratching and hyperactivity, followed by a paw thumping phenotype in mice. Using the Constellation Pharmacology platform, the cdg14a drillipeptide was shown to cause increased excitability in a majority of non peptidergic nociceptors, but did not affect other subclasses of dorsal root ganglion (DRG) neurons. This suggests that the cdg14a drillipeptide may be blocking a specific molecular isoform of potassium channels. The potency and selectivity of this biochemically characterized drillipeptide suggest that the venoms of the Drilliidae are a rich source of novel and selective ligands for ion channels and other important signaling molecules in the nervous system.
Toxins
Victor M Chua Joanna Gajewiak Maren Watkins Samuel S Espino Iris Bea L Ramiro Carla A Omaga Julita S Imperial Louie Paolo D Carpio Alexander E Fedosov Helena Safavi-Hemami Lilibeth A Salvador-Reyes Baldomero M Olivera Gisela P Concepcion
226268842
Impact and Technological Innovation of UAS/Drones in the World Economy VI International Conference on Innovation and Trends in Engineering (CONIITI 2020)
UAV (Unmanned Aircraft) RPA (Remotely Piloted Aircraft) or Drones (Buss or Male Bee) are part of the current technological innovation worldwide. Its technology allows all kinds of scopes from the air, making it an ideal ally to solve any kind of needs in different world economy's scenarios such as civil engineering, agriculture, defense, rescue and entertainment have generated great global interest due to its technological and value of efficiency.?How do UAVs contribute to economic development? What advantages and disadvantages do they currently have? And also, does professional use of UAV bring guarantees for its inclusion in the current market? This document has the objective to make a Drone present statement worldwide.
2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria (CONIITI)
Roy Vega Aragon Carlos Rocha Castano Alexander Ceron Correa
226231940
Allergenspezifische Immuntherapie (AIT) in Osterreich
Die allergenspezifische Immuntherapie (AIT) ist die einzige ursachliche Behandlung der IgE vermittelten, Typ 1 allergischen Erkrankungen allergischer Rhinokonjunktivitis, allergischem Asthma bronchiale und anaphylaktischen Reaktionen auf Insektengift ,venom immunotherapy" VIT) Sie wird entweder subkutan (SCIT) oder sublingual (SLIT) uber 3 Jahre verbreicht. Da die deutschsprachigen Leitlinien zur AIT sowohl gegen inhalative Allergien als auch die VIT gegen Bienen /Wespenallergie abgelaufen und Ende 2020 im Status der Uberarbeitung sind, werden sich die Empfehlungen stattdessen auf die europaischen EAACI Leitlinien von 2018 beziehen. Allergen specific immunotherapy (AIT) is the only causal treatment of the IgE mediated, type 1 allergic diseases allergic rhinoconjunctivitis, bronchial asthma and anaphylaxis to hymenoptera stings. Usually, a patient will be treated via the subcutaneous (SCIT) or the sublingual (SLIT) route over 3 years. Currently (end 2020) the German language guidelines for AIT against inhalant allergens and venom immunotherapy (VIT) against bees and wasps are still being updated; thus, the recommendations in this article are based on the 2018 European Academy of Allergy and Clinical Immunology (EAACI) guidelines.
hautnah
Stefan Wohrl
219687759
EPIC30M: An Epidemics Corpus of Over 30 Million Relevant Tweets
Since the start of COVID 19, there has been several relevant corpora from various sources that were released to support research in this area. While these corpora are valuable in supporting analysis for this specific pandemic, researchers will benefit from additional benchmark corpora that contain other epidemics for better generalizability and to facilitate cross epidemic pattern recognition and trend analysis tasks. During our research, we discover little disease related corpora in the literature that are sizable and rich enough to support such cross epidemic analysis tasks. To address this issue, we present EPIC30M, a large scale epidemic corpus that contains more than 30 million micro blog posts, i.e. tweets crawled from Twitter, from year 2006 to 2020. EPIC30M contains a subset of 26.2 million tweets related to three general diseases, namely Ebola, Cholera and Swine Flu, and another subset of 4.7 million tweets of six global epidemic outbreaks, including the 2009 H1N1 Swine Flu, 2010 Haiti Cholera, 2012 Middle East Respiratory Syndrome (MERS) 2013 West African Ebola, 2016 Yemen Cholera and 2018 Kivu Ebola. Furthermore, we explore and discuss the properties of this corpus with statistics of key terms and hashtags and trends analysis for each subset. Finally, we discuss the potential value and impact that EPIC30M could generate through a discussion of multiple use cases of cross epidemic research topics that attract growing interest in recent years. These use cases span multiple research areas, such as epidemiological modeling, pattern recognition, natural language understanding and economical modeling. The corpus is publicly available at https:/www.github.com/junhua/epic.
2020 IEEE International Conference on Big Data (Big Data)
Junhua Liu Trisha Singhal Lucienne Blessing Kristin L Wood Kwan Hui Lim
228097708
Exploration of Pedagogical Interventions to Improve the Outcomes of Hispanics in AP Computer Science
A research project underway at Kean University is exploring pedagogical interventions aimed at improving the outcomes of English Language Learners in Advanced Placement Computer Science. English Language Learners are students who come from non English speaking homes and backgrounds. With the increasing numbers of Hispanic students in many K 12 classrooms, Spanish is the language most often spoken by English Language Learners. Advanced Placement Computer Science teachers will utilize strategies from Sheltered Instruction, an educational model from English as a Second Language and Bilingual education, in their classrooms. The impact of this approach will be measured by comparing the exam scores of students in the classroom of participating teachers with the 2020 national and state Advanced Placement Computer Science exam scores. Research outcomes of the pedagogical interventions explored will be widely utilized for teaching Computer Science to all English Language Learners, including Hispanics.
2020 IEEE Integrated STEM Education Conference (ISEC)
Mayra Bachrach Patricia A Morreale Gail Verdi
228091226
Improving GHG flux monitoring in agricultural soil through the AGRESTIC prototype: a focus on the assessment of data quality
Measuring at high frequency soil Auxes of carbon dioxide (CO2) and nitrous oxide (N2O) in agricultural soils requires appropriate technology. With this aim, a prototype was developed and tested in agricultural soils for 5 months, within the framework of the LIFE project AGRESTIC. The prototype is composed by two automatic GHG stations for measuring CO2 (LI COR LI 850) and N2O (Teledyne GFC 7002TU) fluxes from soil and an IT infrastructure for data management. The two GHG stations were installed one in Ravenna, Italy, (Ca Bosco farm) and the other in Foggia, Italy, (Caione farm) where two different cropping systems were compared. Along the period going from January 1st to May 31st, 2020 the two GHG stations proved to be robust to field conditions (e.g. wind, rain, freeze etc. The quality of the measurements was different in the two sites, with more than 90% of good measurements in Ravenna and more than 60% in Foggia.
2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)
Iride Volpi Simona Bosco Diego Guidotti Michele Mammini Simone Neri Giorgio Virgili Pierluigi Meriggi Alberto Mantino Patricia Laville Giorgio Ragaglini
231852657
Centroid Tracking Aided Robust Object Detection for Hospital Objects
COVID 19 outbreak has a big impact to people's daily life in 2020, especially in healthcare sector. As COVID 19 viruses are highly contagious, it is important to take strict measures to ensure all patients got the needed care while taking healthcare workers safety into consideration. Robot based care is being hurriedly developed recently, and one of the important abilities for such robot is to be able to distinguish object commonly found in hospital thus the robot can make the correct action towards the correct object. For this publication, an object detector is trained to detect the hospital bed, thus it can be an input to the care robot navigation system when it is going to approach patients. As hospital beds vary from one brand to another, and this research has limited time constraint and readily available hardware, the object detector confidence is still low. Thus, a centroid tracking method is implemented to aid the hospital object detection, ensuring the robot can detect the correct bed more robustly with considerable speed for embedded implementation.
2020 6th International Conference on Interactive Digital Media (ICIDM)
Fabiola Maria Teresa Retno Kinasih Carmadi Machbub Lenni Yulianti Arief Syaichu Rohman
227138821
Towards Civility: Understanding and Confronting Harassing Behaviors through Mixed Research Approaches in Engineering Learning Settings
This Research Work in Progress Paper presents a platform to understand and confront the problem of harassing behaviors that impedes the success of women and underrepresented minorities in engineering. Building on the findings from the 2018 NASEM report, this mixed methods study is rooted in the theories of tokenism, gender stereotyping, and intersectionality. This paper presents the conceptual framework for this study including a three stage mixed method design and presents initial results from phase 1 regarding prevalence estimates of harassing behaviors using the UC Civility Audit 2020. An understanding of the problem of harassing behaviors and of prevalence estimates is critical to selecting, designing, implementing, and studying interventions to tackle this threat for achieving a diverse workforce.
2020 IEEE Frontiers in Education Conference (FIE)
Cijy Elizabeth Sunny Teri Reed Teri J Murphy Whitney Brooke Gaskins