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Additional file 1: Table S1. of Number needed to treat (NNT) in clinical lite...
List of the 25 journals of â General and/or Internal Medicineâ with higher impact factor in 2015. Table S2. Search strategy used to identify studies reporting number needed to... -
r37980778c78--cf799e9b0ba9b67595ab1c83b246d249
Drug trafficking is a major worldwide problem. In this context, cocaine is one of the most commonly used drugs of abuse. In addition, street cocaine is commonly seized... -
Cheap, Flexible, and Thermal-Sensitive Paper Sensor through Writing with Ioni...
The flexible and portable paper-based sensors have a broad potential application in electronic detection and devices. In this work, a flexible thermoresponsive paper sensor was... -
r37980778c78--43066ed7ec39cf2fcdfc73291fa9ccb0
Delivering therapeutics across the blood-brain barrier (BBB) for treating central nervous system (CNS) diseases is one of the biggest challenges today as the BBB limits the... -
r37980778c78--17615613abd758e875b757de7c3e2643
Diabetes mellitus causes secondary osteoporosis and muscle atrophy. The ability of alfacalcidol (ALF) and exercise (Exe) to inhibit osteoporosis and muscle atrophy in type 2... -
Epigenetic and non-epigenetic mode of SIRT1 action during oocyte meiosis prog...
Abstract Background SIRT1 histone deacetylase acts on many epigenetic and non-epigenetic targets. It is thought that SIRT1 is involved in oocyte maturation; therefore, the... -
NEGI Abisko 2019 preparation dataset
Dataset used in preparation for NEGI-Abisko 2019 course. See https://nordicesmhub.github.io/NEGI-Abisko-2019 -
Additional file 4: Table S2. of Pharmacological regimens for eradication of H...
Quality assessment of included studies based on revised AMSTAR checklist. (DOCX 17Â kb) -
The effect of magnetic treatment on the physico-chemical and microbiological ...
The main objective of this study was to investigate the effect of magnetic treatment on the physico-chemical and bacteriological characteristics of hard waters. The scaling... -
r37980778c78--99205f1631b1fefedff71dd797388530
Quartiles and parameter of Weibull distribution and failure pattern for combined estrogen-progestin preparations. -
An Alternating Current Electroosmotic Pump Based on Conical Nanopore Membranes
Electroosmotic flow (EOF) is used to pump solutions through microfluidic devices and capillary electrophoresis columns. We describe here an EOF pump based on membrane EOF... -
Additional file 3: of Faecal carriage of antibiotic resistant Escherichia col...
Data quality charts (split by studies reporting prevalence of resistance only and prevalence plus antibiotic exposure). (DOCX 77Â kb) -
An Insight on the Effect of Azobenzene Functionalities Studied in UiO-66 Fram...
Data supporting journal manuscript. Includes an Excel spreadsheet with all the raw data for the figures in the manuscript, calibrations and calculations. Also includes 3D... -
r37980778c78--51f2f74a7662dd76d91e710695ba61e8
AKT1 E17K mutation detection by OncoBeam™ digital PCR in ctDNA reference standard. -
BIDS Data for "A Whole-Brain Map and Assay Parameter Analysis of Mouse VTA Do...
Base data package for the “Multivariate Guide to Magnetic Resonance Imaging and Optogenetic Control of the Mouse VTA” article, formatted corresponding to the Brain... -
Patient and tumor characteristics.
Abbreviations: KPS, Karnofsky Performance Status; W, Working; NW, Not working; RPA, Recursive Partitioning Analysis; RT, Radiation Therapy. Patient demographics, treatment... -
Steerable optical tweezers for ultracold atom studies
We report on the implementation of an optical tweezer system for controlled transport of ultracold atoms along a narrow, static confinement channel. The tweezer system is based... -
Table 2 - source data 1
This zip archive contains the chromatography data that was used to calculate the values displayed in Table 2. “WT_USI_raw_data.xlsx” contains the data for the wild-type upper... -
Additional file 3: of Drug repositioning of herbal compounds via a machine-le...
Table S3. Detailed prediction results of existing drugs. Table S4. Detailed prediction results of herbal compounds. (XLSX 15 kb)
