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537 results for “Pharmaceuticals”

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zenodo28/100

Supplementary material 1 from: Golembiovska О, Voskoboinik O, Berest G, Kovalenko S, Logoyda L (2021) Quality by design approach for simultaneous determination of original active pharmaceutical ingredient quinabut and its impurities by using HPLC. Message 1. Pharmacia 68(1): 79-87. https://doi.org/10.3897/pharmacia.68.e50704

Shimadzu LCsolution Analysis Report

opencc-zeroJan 2021View details →
dryad28/100

Data from: Characterizing the interaction between physicians, pharmacists and pharmaceutical representatives in a middle-income country: a qualitative study

Background: Studies around the world have shown that interactions between pharmaceutical companies, pharmacists and physicians have a great influence on prescribing and drug dispensing practices. In middle-income countries, the nature and extent of these interactions have not been well researched. Our objectives were to qualitatively explore the nature of the interactions between pharmaceutical companies, physicians and pharmacists, their impact on drug prescription and dispensing practices in Lebanon. Methods and Findings: We used grounded theory approach as well as the known sponsor, purposive, and snowballing sampling strategies to identify interviewees from the three respective groups: physicians, pharmacists, and pharmaceutical representatives. We conducted semi-structured and analyzed transcripts thematically. 6 pharmaceutical representatives, 13 physicians and 13 pharmacists participated in the study. The following themes emerged: purpose and driver for the interactions, nature of the interactions, incentives, impact on prescription practices, ethical considerations, and suggestions for managing the interactions. The main purposes for the interaction were educational, promotional, and monitoring prescription practices and dispensing, while the main drivers for these interactions were market potential and neighborhood socio-economic status. Physicians, pharmacists and pharmaceutical representatives who engage in these interactions benefit from a variety of incentives, some of which were characterized as unethical. It appears that pharmaceutical companies give prominence to selected physicians within their communities. Although members of the three interviewed groups refer to some of the interactions as being problematic, they described a culture of acceptance of gift giving. We developed a framework that depicts the prevailing politico-cultural environment, the interactions between the three professional groups, and their impact on drug prescription. Underreporting is the main limitation of this study. Conclusion: Interactions between physicians, pharmacists and pharmaceutical representatives are frequent. Although these interactions can be beneficial, they still have a substantial effect on drug prescription and dispensing practices. Hence, the need for new policies that regulate these interactions and penalize any misconduct.

opencc-zeroDec 2016View details →
zenodo28/100

The method and data for Efficiency Evaluation of Listed Pharmaceutical Companies in China Using Three-Stage DEA with PCA Integration

<p>The method and data used for this article</p>

opencc-by-4.0Nov 2024View details →
zenodo28/100

Scheme 1 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Scheme 1 Proposal of the reaction pathway between valsartan and BPB with formation Valsartan-Bromphenol blue complex.

opencc-by-4.0Nov 2021View details →
zenodo28/100

Figure 7 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 7 Absolute values ∆ A of the difference in the absorption of valsartan with MR in different solvents with the absorption of MR in different solvents.

opencc-by-4.0Nov 2021View details →
zenodo28/100

Scheme 2 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Scheme 2 Proposal of the reaction pathway between valsartan and MR with formation Valsartan-Methyl red ion pair associates.

opencc-by-4.0Nov 2021View details →
zenodo28/100

Figure 5 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 5 Absolute values ∆ A of the difference in the absorption of valsartan with BPB in different solvents with the absorption of BPB in different solvents.

opencc-by-4.0Nov 2021View details →
zenodo28/100

Figure 15 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 15 Graph of the dependence of the adsorption of the reaction product of valsartan with MR on time.

opencc-by-4.0Nov 2021View details →
zenodo28/100

Figure 14 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 14 Graph of the dependence of the adsorption of the reaction product of valsartan with BPB on time.

opencc-by-4.0Nov 2021View details →
zenodo28/100

Figure 13 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 13 Absorption spectra of MR and valsartan with MR under conditions of studying the amount of added MR.

opencc-by-4.0Nov 2021View details →
zenodo28/100

Figure 12 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 12 Absorption spectra of BPB and valsartan with BPB under conditions of studying the amount of added BPB.

opencc-by-4.0Nov 2021View details →
zenodo28/100

Figure 9 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 9 Plot of Job's method for determination of molar ratio of the formed Valsartan-MR ion pair complex.

opencc-by-4.0Nov 2021View details →
zenodo28/100

Figure 8 from: Peleshok K, Bondar B, Kryskiw L, Kucher T, Poliak O, Logoyda L (2021) Non-extractive spectrophotometric determination of valsartan in pure form and in pharmaceutical products by ion-pair complex formation with bromophenol blue and methyl red. Pharmacia 68(4): 851-858. https://doi.org/10.3897/pharmacia.68.e73559

Figure 8 Plot of Job's method for determination of molar ratio of the formed Valsartan-BPB ion pair complex.

opencc-by-4.0Nov 2021View details →
zenodo28/100

Optimizing the selection of drug-polymer-water formulations for spray-dried solid dispersions in pharmaceutical manufacturing

<p>The files contain 2 MINLP formulations&nbsp;and supplementary material discussed&nbsp;in this publication. The MINLP problems are implemented and solved in GAMS version 36.2.0, using SBB and SCIP, a local and global MINLP solver, respectively.</p>

opencc-by-4.0Nov 2021View details →
zenodo28/100

Supplementary material 1 from: Castaño Sánchez A, Pereira J, Gonçalves F, Reboleira A (2018) Comparative acute toxicity of the pharmaceutical compound Diclofenac on groundwater and surface water crustaceans. ARPHA Conference Abstracts 1: e29822. https://doi.org/10.3897/aca.1.e29822

Poster presented at the 24th International Conference on Subterranean Biology. University of Aveiro (Portugal), 20-24th August 2018.

opencc-zeroMar 2022View details →
zenodo28/100

Dataset: Tarsus Pharmaceuticals, Inc. (TARS) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →
zenodo28/100

Dataset: Rhythm Pharmaceuticals, Inc. (RYTM) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →
zenodo28/100

Dataset: Rigel Pharmaceuticals, Inc. (RIGL) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →
zenodo28/100

Dataset: Hepion Pharmaceuticals, Inc. (HEPA) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →
zenodo28/100

Support Data Operational Efficiency of Pharmaceutical Companies in China Based on Three Stage DEA with Undesirable Outputs Model.

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2024View details →

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Allen Brain Atlas

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DANDI Archive for NWB datasets

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

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