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BioVie's (BIVI) NE3107 Demonstrates Potential Improvements in Motor and Non-motor Symptoms for Parkinson's Disease Patients

BioVie's (BIVI) NE3107 Demonstrates Potential Improvements in Motor and Non-motor Symptoms for Parkinson's Disease Patients
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Joseph Palumbo , Carbidopa Levodopa , Biovie Inc , International Conference On Alzheimer , Motor Disease Society , International Conference , Non Motor Symptoms , Placebo Controlled Study , Non Motor Symptom Scale , Motor Disease Society Unified Parkinson , Disease Rating Scale , Chief Medical , Clinical Outcomes , Placebo Controlled Trial , Moderate Probable Alzheimer , Good Clinical Practice , Principal Component Analysis , Chris Reading , Senior Vice President ,

Progress on SDG 7 achieved by EU countries in relation to the target year 2030: A multidimensional indicator analysis using dynamic relative taxonomy

In 2015, 193 UN members adopted the resolution “Transforming our world: the 2030 Agenda for Sustainable Development”, which set out 17 Sustainable Development Goals to be achieved by 2030. The aim of the study is to assess progress towards meeting SDG 7 “Ensure access to affordable, reliable, sustainable and modern energy for all” by individual EU countries in 2010–2021 and to determine their distance in relation to the target set for 2030. Eurostat monitors and assesses progress towards SDG 7 using seven indicators. These indicators were used to create an aggregate index. In order to limit the impact of the compensation effect on the ranking of EU countries, we applied dynamic relative taxonomy with the geometric mean to create an aggregate measure that takes into account target values for the indicators with adjusted data. The study reveals systematic progress towards reaching the EU’s SDG 7 in the period 2010–2021, with differences between i ....

Czech Republic , Porto Faculdade , Uniwersytet Ekonomiczny , Commission For Asia , Sustainable Development Solutions Network , Agenda For Sustainable Development , Regional Initiative For Excellence , European Commission , Un Statistical Commission , Sustainable Development Goals Sdgs , Millennium Development Goals Mdgs , Sustainable Development Goals , Development Goals , Porto Faculdade De Medicina , Creative Commons Attribution License , Regional Initiative , Millennium Development Goals , Sustainable Cities , Responsible Consumption , Climate Action , United Nations Economic , Social Commission , Water Use Efficiency , Middle East , North Africa , Principal Component Analysis ,

Agricultural Contamination of the Surface Waters of the Upper Ouémé in Benin: The Case of Heavy Metals and Pesticides

Objective: The main objective of this study was to assess the degree of contamination of surface waters by heavy metals and pesticides. Method: To this end, data were collected in December 2022 from four specific sampling stations: Okpara, Térou, Affon and Adjiro. Levels of heavy metals, including cadmium, chromium, copper, iron, mercury, nickel and lead, were measured and subjected to in-depth statistical analysis using graphical summation models. In addition, the concentrations of pesticide active ingredients present in the samples were interpreted and evaluated. The statistical data collected during this study were processed using R software, version 3.5.0. Results: The values obtained at the different stations Okpara, Térou, Affon and Adjiro are respectively Arsenic (2 × 10-4 mg/L; 2.2 × 10-1 mg/L; 1.2 × 10-4 mg/L; 2 × 10-4 mg/L), Cadmium (4.4 × 10-5 mg/L; 1.1 × 10-2 mg/L; 10-4 mg/L; 4 × 10-4 mg/L). Then Copper (7 × 10-4 mg/L; 3 × 10-3 mg/L; 7 × 10-4 mg/L; 1 × 10-4 mg/ ....

Benin General , Geochimie Environnementale , University Of Lom , World Health Organization , Donga Department , Borgou Department , Atacora Department , Although Africa , West African , Metals Analysis , Atomic Absorption Spectrophotometry , Pesticide Residues Laboratory , Ghana Standards Authority , Absorption Spectrophotometry , Health Organization , Extracting Pesticides , Analysis Methods , Chromatographic Conditions , Pulsed Flame Photometry Detector , Trace Element , Principal Component Analysis , Metallic Trace Element , Okpara Station , Trace Metals , Trace Metal Elements , Agricultural Contamination ,

Machine Learning Reduces Bioprocessing Guesswork

Machine Learning Reduces Bioprocessing Guesswork
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Rohan Jain , Bioresource Technology , Helmholtz Zentrum Dresden Rossendorf , Please Square , Principal Component Analysis ,

"Shape up and Ship out: Do Bt-Resistant Corn Earworm Moths, Helicoverpa" by Sarah Barclay

Evolution of resistance within insects to pest control has frequently resulted in changes to the organism’s morphotype, including changes in wing shape. By measuring these changes, it is possible to distinguish resistant from non-resistant populations. Geometric morphometrics (GM) quantifies morphological variation within and among populations, it has been used in previous studies to identify changes in morphotype and distinguish between resistant and non-resistant populations of insects. Helicoverpa Zea (corn earworm) is one of the most economically damaging pests for crops across the United States of America. Infestations of H. zea annually migrate from southern USA to the north, causing damage to almost all agricultural crops in its path. Although corn (Zea mays) is the preferred host and thus the most affected by this insect. A common strategy to manage this pest is the use of Bt Corn; genetically modified corn that produces the Bt toxins. Cry proteins (Cry1AF and Cry1B) are the ....

South Carolina , United States , North Carolina , Helicoverpa Zea , Principal Component Analysis , Canonical Variate Analysis , Discriminant Function Analysis , Eometric Morphometrics , Hit Corn , Ing Morphology ,