scholarly journals Analysis of R&D efficiency of new biopharmaceuticals based on large-scale quantitative analysis and careful case analysis

Impact ◽  
2021 ◽  
Vol 2021 (5) ◽  
pp. 19-21
Author(s):  
Tetsuya Miyashige
Keyword(s):  
Quantitative Analysis ◽  
Large Scale ◽  
Case Analysis ◽  
Pharmaceutical Companies ◽  
Japanese Firms ◽  
Biopharmaceutical Company ◽  
Institute Of Technology ◽  
New Treatments ◽  
Antibody Drug ◽  
Industrial Economic

Research on the R&D efficiency of new biopharmaceuticals is geared towards enhancing efficiencies, such as improving drug development technologies and therefore speeding up the discovery and development of new treatments. Organisation theory is one way of exploring R&D efficiency and involves studying the behaviour of organisations with a view to enhancing organisational efficiency. Professor Tetsuya Miyashige and his team at the National Institute of Technology, Toyama College, Japan, are using large-scale quantitative analysis and careful case analysis to analyse the R&D efficiency of new pharmaceuticals. The goal is to contribute to the R&D management of pharmaceutical companies and to industrial economic policy for the pharmaceutical industry. A particular focus for the researcher is using biotechnology to analyse the R&D efficiency of 'antibody drug = biomedicine' in pharmaceutical companies. In collaboration with econometrician Professor Atsushi Fujii, University of Kitakyushu, Miyashige worked on the separation of R&D processes in biopharmaceutical R&D. This work involved analysing the R&D productivity of a biopharmaceutical company, with a focus on separation of the R&D processes and looking at blockbusters and biotech drugs. Another line of work involved empirically analysing the differences between blockbuster production in Japanese firms and in US/EU firms.

scholarly journals Analysis of R&D efficiency of new biopharmaceuticals based on large-scale quantitative analysis and careful case analysis

Impact ◽  
2021 ◽  
Vol 2021 (2) ◽  
pp. 59-61
Author(s):  
Tetsuya Miyashige
Keyword(s):  
Quantitative Analysis ◽  
Large Scale ◽  
Case Analysis ◽  
Pharmaceutical Companies ◽  
Japanese Firms ◽  
Biopharmaceutical Company ◽  
Institute Of Technology ◽  
New Treatments ◽  
Antibody Drug ◽  
Industrial Economic

Research on the R&D efficiency of new biopharmaceuticals is geared towards enhancing efficiencies, such as improving drug development technologies and therefore speeding up the discovery and development of new treatments. Organisation theory is one way of exploring R&D efficiency and involves studying the behaviour of organisations with a view to enhancing organisational efficiency. Professor Tetsuya Miyashige and his team at the National Institute of Technology, Toyama College, Japan, are using large-scale quantitative analysis and careful case analysis to analyse the R&D efficiency of new pharmaceuticals. The goal is to contribute to the R&D management of pharmaceutical companies and to industrial economic policy for the pharmaceutical industry. A particular focus for the researcher is using biotechnology to analyse the R&D efficiency of 'antibody drug = biomedicine' in pharmaceutical companies. In collaboration with econometrician Professor Atsushi Fujii, University of Kitakyushu, Miyashige worked on the separation of R&D processes in biopharmaceutical R&D. This work involved analysing the R&D productivity of a biopharmaceutical company, with a focus on separation of the R&D processes and looking at blockbusters and biotech drugs. Another line of work involved empirically analysing the differences between blockbuster production in Japanese firms and in US/EU firms.

scholarly journals Differential transcript usage from RNA-seq data: isoform pre-filtering improves performance of count-based methods

2015 ◽  
Author(s):  
Charlotte Soneson ◽  
Katarina L Matthes ◽  
Malgorzata Nowicka ◽  
Charity W Law ◽  
Mark D Robinson
Keyword(s):  
Quantitative Analysis ◽  
Large Scale ◽  
State Of The Art ◽  
Synthetic Data ◽  
Differential Analysis ◽  
Rna Seq ◽  
Experimental Conditions ◽  
Current State ◽  
Exon Level ◽  
New Treatments

Large-scale sequencing of cDNA (RNA-seq) has been a boon to the quantitative analysis of transcriptomes. A notable application is the detection of changes in transcript usage between experimental conditions. For example, discovery of pathological alternative splicing may allow the development of new treatments or better management of patients. From an analysis perspective, there are several ways to approach RNA-seq data to unravel differential transcript usage, such as annotation-based exon-level counting, differential analysis of the `percent spliced in' measure or quantitative analysis of assembled transcripts. The goal of this research is to compare and contrast current state-of-the-art methods, as well as to suggest improvements to commonly used workflows. We assess the performance of representative workflows using synthetic data and explore the effect of using non-standard counting bin definitions as input to a state-of-the-art inference engine (DEXSeq). Although the canonical counting provided the best results overall, several non-canonical approaches were as good or better in specific aspects and most counting approaches outperformed the evaluated event- and assembly-based methods. We show that an incomplete annotation catalog can have a detrimental effect on the ability to detect differential transcript usage in transcriptomes with few isoforms per gene and that isoform-level pre-filtering can considerably improve false discovery rate (FDR) control. Count-based methods generally perform well in detection of differential transcript usage. Controlling the FDR at the imposed threshold is difficult, mainly in complex organisms, but can be improved by pre-filtering of the annotation catalog.

Cost- und Monitoring-Projekt: Zwei neue forstliche Meinungsumfragen im Vergleich | The Cost- and Monitoring-Projects: A Comparison of Two New Forestry Opinion Polls

2000 ◽  
Vol 151 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Stephan Wild-Eck ◽  
Willi Zimmermann
Keyword(s):  
Large Scale ◽  
Forest Policy ◽  
Forest Economics ◽  
Positive Attitudes ◽  
Federal Institute ◽  
Swiss Confederation ◽  
Institute Of Technology ◽  
The Cost ◽  
Near Future ◽  
Opinion Polls

Two large-scale surveys looking at attitudes towards forests, forestry and forest policy in the second half ofthe nineties have been carried out. This work was done on behalf of the Swiss Confederation by the Chair of Forest Policy and Forest Economics of the Federal Institute of Technology (ETH) in Zurich. Not only did the two studies use very different methods, but the results also varied greatly as far as infrastructure and basic conditions were concerned. One of the main differences between the two studies was the fact that the first dealt only with mountainous areas, whereas the second was carried out on the whole Swiss population. The results of the studies reflect these differences:each produced its own specific findings. Where the same (or similar) questions were asked, the answers highlight not only how the attitudes of those questioned differ, but also views that they hold in common. Both surveys showed positive attitudes towards forests in general, as well as a deep-seated appreciation ofthe forest as a recreational area, and a positive approach to tending. Detailed results of the two surveys will be available in the near future.

Flight Path Planning of Robot for Environmental Measurement Considering Accuracy Assurance

Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 90-92
Author(s):  
Kae Doki ◽  
Yuki Funabora ◽  
Shinji Doki
Keyword(s):  
Large Scale ◽  
Highway Bridge ◽  
Climate Research ◽  
Small Uav ◽  
Inspection Process ◽  
Aerial View ◽  
Aerial Vehicle ◽  
Infrastructure Inspection ◽  
Institute Of Technology ◽  
Small Team

Every day we are seeing an increasing number of robots being employed in our day-to-day lives. They are working in factories, cleaning our houses and may soon be chauffeuring us around in vehicles. The affordability of drones too has come down and now it is conceivable for most anyone to own a sophisticated unmanned aerial vehicle (UAV). While fun to fly, these devices also represent powerful new tools for several industries. Anytime an aerial view is needed for a planning, surveillance or surveying, for example, a UAV can be deployed. Further still, equipping these vehicles with an array of sensors, for climate research or mapping, increases their capability even more. This gives companies, governments or researchers a cheap and safe way to collect vast amounts of data and complete tasks in remote or dangerous areas that were once impossible to reach. One area UAVs are proving to be particularly useful is infrastructure inspection. In countries all over the world large scale infrastructure projects like dams and bridges are ageing and in need of upkeep. Identifying which ones and exactly where they are in need of patching is a huge undertaking. Not only can this work be dangerous, requiring trained inspectors to climb these megaprojects, it is incredibly time consuming and costly. Enter the UAVs. With a fleet of specially equipped UAVs and a small team piloting them and interpreting the data they bring back the speed and safety of this work increases exponentially. The promise of UAVs to overturn the infrastructure inspection process is enticing, but there remain several obstacles to overcome. One is achieving the fine level of control and positioning required to navigate the robots around 3D structures for inspection. One can imagine that piloting a small UAV underneath a huge highway bridge without missing a single small crack is quite difficult, especially when the operators are safely on the ground hundreds of meters away. To do this knowing exactly where the vehicle is in space becomes a critical variable. The job can be made even easier if a flight plan based on set waypoints can be pre-programmed and followed autonomously by the UAV. It is exactly this problem that Dr Kae Doki from the Department of Electrical Engineering at Aichi Institute of Technology, and collaborators are focused on solving.

scholarly journals Comparative Analysis of the Life-Cycle Cost of Robot Substitution: A Case of Automobile Welding Production in China

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 226
Author(s):  
Xuyang Zhao ◽  
Cisheng Wu ◽  
Duanyong Liu
Keyword(s):  
Life Cycle ◽  
Systems Engineering ◽  
Life Cycle Cost ◽  
Manufacturing Systems ◽  
Large Scale ◽  
Cost Allocation ◽  
Industrial Robot ◽  
Case Analysis ◽  
Industrial Robots ◽  
Analysis Model

Within the context of the large-scale application of industrial robots, methods of analyzing the life-cycle cost (LCC) of industrial robot production have shown considerable developments, but there remains a lack of methods that allow for the examination of robot substitution. Taking inspiration from the symmetry philosophy in manufacturing systems engineering, this article further establishes a comparative LCC analysis model to compare the LCC of the industrial robot production with traditional production at the same time. This model introduces intangible costs (covering idle loss, efficiency loss and defect loss) to supplement the actual costs and comprehensively uses various methods for cost allocation and variable estimation to conduct total cost and the cost efficiency analysis, together with hierarchical decomposition and dynamic comparison. To demonstrate the model, an investigation of a Chinese automobile manufacturer is provided to compare the LCC of welding robot production with that of manual welding production; methods of case analysis and simulation are combined, and a thorough comparison is done with related existing works to show the validity of this framework. In accordance with this study, a simple template is developed to support the decision-making analysis of the application and cost management of industrial robots. In addition, the case analysis and simulations can provide references for enterprises in emerging markets in relation to robot substitution.

scholarly journals “Am besten, du gehst.” Zur nähesprachlichen Verwendung des am-Superlativs im Vor-Vorfeld

Glottotheory ◽  
2020 ◽  
Vol 10 (1-2) ◽  
pp. 1-29
Author(s):  
Doris Höhmann
Keyword(s):  
Quantitative Analysis ◽  
Large Scale ◽  
Language Use ◽  
First Approximation ◽  
Core Part

AbstractThis paper investigates the use of the German am-superlative in colloquial utterances such as am besten, du gehst jetzt. In a first approximation, this construction can be described as elliptically used am-superlative occurring on the left sentence periphery within an Operator-Skopus-Struktur (Barden/Elstermann/Fiehler 2001). As will be shown in the empirical core part of the study, a qualitative-quantitative analysis, the pattern appears to be characterized by different overlapping and interplaying tendencies in language use (e.g. the selection and frequency of pronouns and sentence mood). The data used for the qualitative-quantitative analysis is taken mainly from a large-scale web corpus (deTenTen13).

SageBook: Toward a cross-generational social network for the Jewish sages’ prosopography

2018 ◽  
Vol 34 (3) ◽  
pp. 676-695
Author(s):  
Maayan Zhitomirsky-Geffet ◽  
Gila Prebor
Keyword(s):  
Social Network ◽  
Quantitative Analysis ◽  
Large Scale ◽  
Rabbinic Literature ◽  
Jewish Law ◽  
Related Data ◽  
Jewish Thought ◽  
Argumentation Analysis

Abstract In this research we devised and implemented a semi-automatic approach for building a SageBook–a cross-generational social network of the Jewish sages from the Rabbinic literature. The proposed methodology is based on a shallow argumentation analysis leading to detection of lexical–syntactic patterns which represent different relationships between the sages in the text. The method was successfully applied and evaluated on the corpus of the Mishna, the first written work of the Rabbinic Literature which provides the foundation to the Jewish law development. The constructed prosopographical database and the network generated from its data enable a large-scale quantitative analysis of the sages and their related data, and therefore might contribute to the research of the Talmudic literature and evolution of the Jewish thought throughout the two last millennia.

scholarly journals The Attitude of the Academic Community towards Distance Learning: A Lesson from a National Lockdown

2021 ◽  
Vol 19 (4) ◽  
pp. pp262-281
Author(s):  
Marta Migocka-Patrzałek ◽  
Magda Dubińska-Magiera ◽  
Dawid Krysiński ◽  
Stefan Nowicki
Keyword(s):  
Higher Education ◽  
Distance Learning ◽  
Quantitative Analysis ◽  
Large Scale ◽  
Online Courses ◽  
Academic Community ◽  
Teachers And Students ◽  
Willingness To Use ◽  
Academic Year

The number of online courses conducted at universities has been growing steadily worldwide. The demand for this form of education has jumped sharply in the 2019/2020 academic year as a consequence of the COVID-19 pandemic and the national lockdown. The following study uses the case of University of Wrocław and examines how this unprecedented situation would affect the attitude of members of the academic community toward distance learning. The examination, based on quantitative analysis of separated questionnaires distributed among teachers and students, reveals that the previous experience in distance learning strongly correlates with willingness to use it in the future, i.e. after fighting the coronavirus crisis. Thus, the research suggests that the implementation of distance learning may involve the need to put more emphasis on systematic and long-term actions. The results achieved in the study may contribute to improving the ways of implementing distance learning on a large scale in institutions dealing with higher education.  

scholarly journals pGlycoQuant with a deep residual network for precise and minuscule-missing-value quantitative glycoproteomics enabling the functional exploration of site-specific glycosylation

2021 ◽  
Author(s):  
Weiqian Cao ◽  
Siyuan Kong ◽  
Wenfeng Zeng ◽  
Pengyun Gong ◽  
Biyun Jiang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Large Scale ◽  
Missing Values ◽  
Software Tool ◽  
Software Tools ◽  
Residual Network ◽  
Site Specific ◽  
Carcinoma Cell Lines ◽  
L1 Cell Adhesion Molecule

Interpreting large-scale glycoproteomic data for intact glycopeptide identification has been tremendously advanced by software tools. However, software tools for quantitative analysis of intact glycopeptides remain lagging behind, which greatly hinders exploring the differential expression and functions of site-specific glycosylation in organisms. Here, we report pGlycoQuant, a generic software tool for accurate and convenient quantitative intact glycopeptide analysis, supporting both primary and tandem mass spectrometry quantitation for multiple quantitative strategies. pGlycoQuant enables intact glycopeptide quantitation with very low missing values via a deep residual network, thus greatly expanding the quantitative function of several powerful search engines, currently including pGlyco 2.0, pGlyco3, Byonic and MSFragger-Glyco. The pGlycoQuant-based site-specific N-glycoproteomic study conducted here quantifies 6435 intact N-glycopeptides in three hepatocellular carcinoma cell lines with different metastatic potentials and, together with in vitro molecular biology experiments, illustrates core fucosylation at site 979 of the L1 cell adhesion molecule (L1CAM) as a potential regulator of HCC metastasis. pGlycoQuant is freely available at https://github.com/expellir-arma/pGlycoQuant/releases/. We have demonstrated pGlycoQuant to be a powerful tool for the quantitative analysis of site-specific glycosylation and the exploration of potential glycosylation-related biomarker candidates, and we expect further applications in glycoproteomic studies.

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