7 research outputs found
Design and implementation of a solar power system in rural Haiti
No full textThesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004.Includes bibliographical references (leaf 24).This paper describes the design and implementation of a solar power system for a school and health center in Petit-Anse, Haiti. The end-use applications are lighting via a set of fluorescent and incandescent bulbs, and a coolbox for medical refrigeration at the health center. The power is derived from five 120W photovoltaic BP Solar panel units. The author and colleagues traveled to Petit-Anse in January 2002, and a final implementation plan for the Spring of 2004, describing budget, team development, and itinerary is described.by Shaheer M. Hussam.S.B
Ilgstošais COVID – pacientu identifikācijas un aprūpe
No full textMedicīnaVeselības aprūpeMedicineHealth CareIevads: Jaunais koronavīruss SARS-CoV-2 ir izrasījis ievērojamu saslimstību un mirstību visā pasaulē. Lai gan vairumam cilvēku saslimšana norit viegli, dažiem sasirgušajiem simptomi var ilgt vairākas nedēļas vai pat mēnešus pēc akūtas saslimšanas, tā sauktais “garais” COVID. Ņemot vērā, ka šī slimība ir jauna, arī “garā” COVID pārvaldīšanai trūkst pētījumu.
Šajā pētnieciskajā darbā darba autors aplūkos pašreizējās publicētās pamatnostādes un vadlīnijas garā COVID ārstēšanai un pārvaldīšanai un salīdzinās tās ar jaunākajiem pētījumiem, lai noskaidrotu vai vadlīnijas ir atjauninātas ar jaunākajiem pētījumu datiem.
Mērķis: Salīdzināt pašlaik pieņemtās garā COVID pārvaldīšanas vadlīnijas ar jaunākiem pētījumiem, kas izdoti vēlāk, lai uzlabotu ieteikumus ilgstošas COVID slimības pārvaldīšanai.
Metodoloģija: Šis pētnieciskais darbs tika veidots kā literatūras apskats, kas galvenokārt balstīts uz dažādu publikāciju apkopojumu, meklējot datubāzēs informāciju par komplikācijām, kas var rasties pēc akūta COVID-19, un iespējamu ilgstošas COVID slimības pārvaldību. Literatūras apskats tika veikts no 2021. gada 5. jūnija līdz 2021. gada 20. oktobrim. Pētījums tika veikts angļu un zviedru valodā.
Secinājumi: Pašlaik pieejamie dati liecina, ka lielai daļai COVID-19 pacientu ir dažādas sekas. Tuvākajā nākotnē, iespējams, būs simtiem miljonu COVID gadījumu, un sagaidāms, ka daudzi pacienti cietīs no slimības sekām. Pacientu, kas cieš no ilgstoša COVID, identificēšana un pārvaldība ir liels izaicinājums ārstiem. Pašreizējās vadlīnijās trūkst daudz faktoru, kas neietver dažādos slimības seku veidus, kas var rasties pacientam ar ilgsotšu COVID, tāpēc pētījumu veikšana un pašreizējo datu analīze drīzumā var būt vitāli svarīga.Background: New infectious disease coronavirus SARS-CoV-2 has caused significant morbidity and mortality around the world. While most people with COVID-19 recover and return to normal health, some people can have symptoms that last for weeks or even months after recovery from acute illness, the so-called ‘long COVID’. Since this disease is new there is much unknown about the process, including how to manage Long COVID.
In this research paper, the author will be reviewing current published guidelines and research of managing long COVID and compare with more recent studies to see if guidelines are up-to-date with latest research data.
Aim: To compare currently accepted guidelines of long covid management to newer research released after, to improve the recommendations of managing long-covid.
Methods: This research paper was conducted as a literature review based primarily on the collection of different publications by searching databases for information on complications that may occur after the acute stages of COVID-19 and possible management of long covid. The literature search was conducted between 5th of June 2021 until 20th of October 2021. The research was done in English and Swedish.
Conclusion: Currently available data suggest that a large proportion of COVID-19 patients have different consequences. With possibly hundreds of millions of COVID cases in the near future, it is expected that many more patients will suffer from sequelae. Identifying and managing patients suffering from Long COVID provides a major challenge for physicians. The guidelines are not up to date in such a novel disease.The guidelines lack information on the many types of consequences that may occur in patients with long-term Covid disease and do not take into account many types of consequences. Therefore, conducting research and analyzing current data on the topic could prove beneficial in the near future
COVID-19 and Mental Health for All: A Framework for Moving Forward
No full textThe COVID-19 pandemic has highlighted many mental health challenges related to factors such as changes to health care access, social isolation, and unexpected unemployment (COVID-19 Threats). As highlighted in "A Framework for Mental Health Promotion Interventions", to foster mental health for all - now and for future - different actions in different contexts can be undertaken (Positive Interventions).Infographi
Interventions to Mitigate COVID-19 Related Mental Health Risks for Those with Pre-Existing Chronic Health Conditions: A Knowledge Synthesis Based on the English and Chinese Language Literature
No full textPredicting LIS Scholarly Research Directions In The Era Of Data Science
No full textAbstract
Purpose –The purpose of this paper is to present the quantitative analysis of scholarly literature published worldwide on Data Science in the field of Library and Information Science (LIS).
Design/methodology/approach –The Web of Science (WoS) Core Collection database was used as the main source for extracting data from the published documents during the period 2010-2019. The analysis of the published documents was based on the following important trends: Number of Data Science publications in all fields, Number of Data Science publications in the LIS field, the most cited document type on Data Science in LIS perspective, the most prolific author, the most productive publication year, the most productive country, annual citations, highly cited journal and research article on Data Science in LIS perspective, highly contributing research organizations and group authors on Data Science in LIS field and highly contributing universities on Data Science in LIS field during the period 2010-2019. The types of documents considered in this study were research articles, conference proceeding papers, book chapters, book reviews and editorial material.
Findings –The findings of this study showed that the USA possessed the highest number of publications on Data Science in the field of LIS. The total number of publications on Data Science including all fields was 106,028 and the number of publications on Data Science in LIS perspective was 3,799 during the period 2010-2019. The year 2019 was identified as the most productive year as the research output in this year was maximum. IEEE was identified as the most productive research organization/group author, Wuhan University China as the most productive university and the Journal of Scientometrics was declared as the most prolific journal on Data Science in LIS perspective during the period 2010-2019. Bornmann Lutz, from Germany, was identified as the most prolific author with a total of 69 publications and the article titled “Business Intelligence and Analytics: From Big Data to Big Impact” was the highly cited article on Data Science in LIS perspective during the period 2010-2019.
Originality/value –The study will be of great importance for students, scholars, educationists, professionals and researchers who intend to perform Scientometrics research studies in the LIS field
On-line capillary electrophoresis/laser-induced fluorescence/mass spectrometry analysis of glycans labeled with Teal™ fluorescent dye using an electrokinetic sheath liquid pump-based nanospray ion source
No full textRapid Communications in Mass Spectrometry, 32, 882–888Note : if this item contains full text it may be a preprint, author manuscript, or a Gold OA copy that permits redistribution with a license such as CC BY. The final version is available through the publisher’s platform.Rationale: N-linked glycan analysis of recombinant therapeutic proteins, such as monoclonal antibodies, Fc-fusion proteins, and antibody-drug conjugates, provides valuable information regarding protein therapeutics glycosylation profile. Both qualitative identification and quantitative analysis of N-linked glycans on recombinant therapeutic proteins are critical analytical tasks in the biopharma industry during the development of a biotherapeutic. Methods: Currently, such analyses are mainly carried out using capillary electrophoresis/laser-induced fluorescence (CE/LIF), liquid chromatography/fluorescence (LC/FLR), and liquid chromatography/fluorescence/mass spectrometry (LC/FLR/MS) technologies. N-linked glycans are first released from glycoproteins by enzymatic digestion, then labeled with fluorescence dyes for subsequent CE or LC separation, and LIF or MS detection. Here we present an on-line CE/LIF/MS N-glycan analysis workflow that incorporates the fluorescent Teal™ dye and an electrokinetic pump-based anospray sheath liquid capillary electrophoresis/mass spectrometry (CE/MS) ion source. Results: Electrophoresis running buffer systems using ammonium acetate and ammonium hydroxide were developed for the negative ion mode CE/MS analysis of fluorescence-labeled N-linked glycans. Results show that on-line CE/LIF/MS analysis can be readily achieved using this versatile CE/MS ion source on common CE/MS instrument platforms. Conclusions: This on-line CE/LIF/MS method using Teal™ fluorescent dye and electrokinetic pump-based nanospray sheath liquid CE/MS coupling technology holds promise for on-line quantitation and identification of N-linked glycans on recombinant therapeutic proteins.https://login.libproxy.rpi.edu/login?url=https://doi.org/10.1002/rcm.811
