Scilit covers 146 million #scholarly #publications, including over 27 million #openaccess articles and 3 million #preprints, and new publications are typically covered within hours. 👉🏻Click here to access our platform: https://app.scilit.net
Scilit MDPI
Book and Periodical Publishing
A Powerful Database of MDPI. We are committed to the development of Open Access. (https://app.scilit.net/)
About us
About Scilit The name Scilit uses components of the words “scientific” and “literature”. This database of scholarly works is developed and maintained by the open access publisher MDPI. Scilit is a comprehensive, free database for scientists using a new method to collate data and indexing scientific material. Our crawlers extract the latest data from CrossRef and PubMed on a daily basis. This means that newly published articles are added to Scilit immediately. For feedback, suggestions or inquiries, please contact us at support@scilit.net.
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https://app.scilit.net/
External link for Scilit MDPI
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- Book and Periodical Publishing
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👉🏻Find newest publications relating to #citygardening at #Scilit: https://lnkd.in/g4-racjS
Gardening in the city has both personal and global benefits. Here, we look at the advantages of city dwellers creating green spaces. Find out more: https://fal.cn/3y0l1
City Gardening Helps You and the Climate
https://blog.mdpi.com
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We are delighted to announce that edupedia publisher has been accepted for indexing in #Scilit. 🎉May this be the beginning of many more fruitful collaborations. #EDUPEDIAPUBLISHERCollaborateWithScilit
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Scilit MDPI reposted this
Today we celebrate 75 years of the World Health Organization! Over the last 7 decades, World Health Organization has had one ultimate goal – Health for All. At MDPI, we strive towards our own goal – Open Access for All. Research published in MDPI journals, across all sciences, is continuing to build and change understandings of urgent health emergencies affecting billions worldwide. In 2022, MDPI published over 60,000 open access articles on health alone, providing an open platform for advancing important discoveries in healthcare. Learn more about how healthcare has changed worldwide over the last 7 decades: https://lnkd.in/d-nnjGm7 #healthforall #WHO75
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Check out the “Analytics View” feature on #Scilit to better compare and understand publishing performance: https://lnkd.in/gWaxWx9F
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We are delighted to announce that World Scientific and Engineering Academy and Society (WSEAS) has been accepted for indexing in #Scilit. 🎉May this be the beginning of many more fruitful collaborations. #WSEASCollaborateWithScilit
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# on March 24# World Tuberculosis Day, observed on 24 March each year, is designed to build public awareness about the global epidemic of #tuberculosis (TB) and efforts to eliminate the disease. (material derived from Wikipedia) 👉🏻Read more articles relating to tuberculosis at Scilit: https://lnkd.in/gg7Bt-Td
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👉🏻Read relevant publications relating to #alzheimersdisease and #radar at #Scilit: https://lnkd.in/g5DZxtqk
Using radar to predict Alzheimer’s disease and fall accidents is a new method for future implementation both in the home and in healthcare settings. Early detection of neurodegenerative diseases, like Alzheimer's, can be achieved using real-time radar sensors, which can reduce emergency admittance rates from fall accidents. This preventative measure is possible with more efficient and reliable risk analyses and interventions acquired through real-time sensors, explains first author of the research Xuezhi Zeng from Chalmers University of Technology. “It is the variation in step times that is the key,” explains Zeng. “A healthy person normally has a regular gait. But a person at risk of fall accidents often has a large variation in step times.” The research, from Chalmers University of Technology in Sweden, comes at a time when improvements in public health have a significant consequence for an increasingly ageing population. According to the World Health Organisation (WHO), the proportion of the world’s population over 60 years will double from approximately 11 per cent to 22 per cent between 2000 and 2050. In this study, the researchers developed the millimetre-wave radar sensor to obtain real-time, high-resolution readings of a person's gait patterns. These precise readings can detect an increase in step time variability, which is often an early symptom associated with cognitive illnesses. The research, published in Sensors MDPI, discusses the ease of use of the identification method and its advantages in collecting data without infringing on an individual's privacy, as it does not require filming. The development of radar sensors for early diagnosis of cognitive illnesses is a significant advancement in biomedical electromagnetics. The practical medical applications are applicable to solve a growing challenge for society while providing valuable data for healthcare staff to improve a patient's quality of life. If you're interested in learning more about this research, you can access the paper published in Sensors here: https://fal.cn/3wDpH #gaitanalysis #FMCW Chalmers tekniska högskola
Walking Step Monitoring with a Millimeter-Wave Radar in Real-Life Environment for Disease and Fall Prevention for the Elderly
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We are delighted to announce that FSEI HPE Murmansk State Technical University has been accepted for indexing in #Scilit. 🎉May this be the beginning of many more fruitful collaborations. #FSEIHPEMurmanskStateTechnicalUniversityCollaborateWithScilit
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We are delighted to announce that Yayasan Mitra Peduli Indonesia has been accepted for indexing in #Scilit. 🎉May this be the beginning of many more fruitful collaborations. #YayasanMitraPeduliIndonesiaCollaborateWithScilit
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