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Article ; Online: PatentInspector

Konstantinos Petrakis / Konstantinos Georgiou / Nikolaos Mittas / Lefteris Angelis

Applied Sciences, Vol 13, Iss 24, p

An Open-Source Tool for Applied Patent Analysis and Information Extraction

2023 Volume 13147

Abstract: Patent analysis is a field that concerns the analysis of patent records, for the purpose of extracting insights and trends, and it is widely used in various fields. Despite the abundance of proprietary software employed for this purpose, there is ... ...

Abstract	Patent analysis is a field that concerns the analysis of patent records, for the purpose of extracting insights and trends, and it is widely used in various fields. Despite the abundance of proprietary software employed for this purpose, there is currently a lack of easy-to-use and publicly available software that can offer simple and intuitive visualizations, while advocating for open science and scientific software development. In this study, we attempt to fill this gap by offering PatentInspector, an open-source, public tool that, by leveraging patent data from the United States Trademark and Patent Office, is able to produce descriptive analytics, thematic axes and citation network analysis. The use and interpretability of PatentInspector is illustrated through a use case on human resource management-related patents, highlighting its functionalities. The results indicate that PatentInspector is a practical resource for conducting patent analytics and can be used by individuals with a limited or no background in coding and software development.
Keywords	patent analytics ; scientific software development ; topic modeling ; citation networks ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	303
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Efficacy and immune modulation associated with the addition of IMiDs to Daratumumab backbone in multiple myeloma patients refractory to both drug classes: resetting synergistic activity.

Kostopoulos, Ioannis V / Fotiou, Despina / Gavriatopoulou, Maria / Rousakis, Pantelis / Ntanasis-Stathopoulos, Ioannis / Panteli, Chrysanthi / Malandrakis, Panagiotis / Migkou, Magdalini / Angelis, Nikolaos / Kanellias, Nikolaos / Eleutherakis-Papaiakovou, Evangelos / Theodorakakou, Foteini / Krevvata, Maria / Terpos, Evangelos / Dimopoulos, Meletios-Athanasios / Tsitsilonis, Ourania / Kastritis, Efstathios

Blood cancer journal

2024 Volume 14, Issue 1, Page(s) 26

MeSH term(s)	Humans ; Multiple Myeloma/drug therapy ; Immunomodulating Agents ; Antibodies, Monoclonal/therapeutic use ; Antineoplastic Agents/therapeutic use ; Antineoplastic Combined Chemotherapy Protocols
Chemical Substances	daratumumab (4Z63YK6E0E) ; Immunomodulating Agents ; Antibodies, Monoclonal ; Antineoplastic Agents
Language	English
Publishing date	2024-02-06
Publishing country	United States
Document type	Letter ; Research Support, Non-U.S. Gov't
ZDB-ID	2600560-8
ISSN	2044-5385 ; 2044-5385
ISSN (online)	2044-5385
ISSN	2044-5385
DOI	10.1038/s41408-024-00988-x
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: An empirical study of COVID-19 related posts on Stack Overflow: Topics and technologies.

Georgiou, Konstantinos / Mittas, Nikolaos / Chatzigeorgiou, Alexandros / Angelis, Lefteris

The Journal of systems and software

2021 Volume 182, Page(s) 111089

Abstract: The COVID-19 outbreak, also known as the coronavirus pandemic, has left its mark on every aspect of our lives and at the time of this writing is still an ongoing battle. Beyond the immediate global-wide health response, the pandemic has triggered a ... ...

Abstract	The COVID-19 outbreak, also known as the coronavirus pandemic, has left its mark on every aspect of our lives and at the time of this writing is still an ongoing battle. Beyond the immediate global-wide health response, the pandemic has triggered a significant number of IT initiatives to track, visualize, analyze and potentially mitigate the phenomenon. For individuals or organizations interested in developing COVID-19 related software, knowledge-sharing communities such as Stack Overflow proved to be an effective source of information for tackling commonly encountered problems. As an additional contribution to the investigation of this unprecedented health crisis and to assess how fast and how well the community of developers has responded, we performed a study on COVID-19 related posts in Stack Overflow. In particular, we profiled relevant questions based on key post features and their evolution, identified the most prominent technologies adopted for developing COVID-19 software and their interrelations and focused on the most persevering problems faced by developers. For the analysis of posts we employed descriptive statistics, Association Rule Graphs, Survival Analysis and Latent Dirichlet Allocation. The results reveal that the response of the developers' community to the pandemic was immediate and that the interest of developers on COVID-19 related challenges was sustained after its initial peak. In terms of the problems addressed, the results show a clear focus on COVID-19 data collection, analysis and visualization from/to the web, in line with the general needs for monitoring the pandemic.
Language	English
Publishing date	2021-09-16
Publishing country	United States
Document type	Journal Article
ISSN	0164-1212
ISSN	0164-1212
DOI	10.1016/j.jss.2021.111089
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Circulating Plasma Cells in Newly Diagnosed Multiple Myeloma: Prognostic and More.

Kostopoulos, Ioannis V / Ntanasis-Stathopoulos, Ioannis / Rousakis, Pantelis / Eleutherakis-Papaiakovou, Evangelos / Panteli, Chrysanthi / Malandrakis, Panagiotis / Angelis, Nikolaos / Kanellias, Nikolaos / Orologas-Stavrou, Nikolaos / Papanota, Aristina / Fotiou, Despina / Migkou, Magdalini / Gavriatopoulou, Maria / Kastritis, Efstathios / Tsitsilonis, Ourania / Terpos, Evangelos / Dimopoulos, Meletios-Athanasios

Journal of clinical oncology : official journal of the American Society of Clinical Oncology

2022 Volume 41, Issue 3, Page(s) 708–710

MeSH term(s)	Humans ; Multiple Myeloma/diagnosis ; Prognosis ; Plasma Cells ; Flow Cytometry
Language	English
Publishing date	2022-09-30
Publishing country	United States
Document type	Letter ; Comment
ZDB-ID	604914-x
ISSN	1527-7755 ; 0732-183X
ISSN (online)	1527-7755
ISSN	0732-183X
DOI	10.1200/JCO.22.01606
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Zs.A 1847: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MO 650: Show issues

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Article ; Online: Belantamab mafodotin induces immunogenic cell death within 24 h post-administration in newly diagnosed multiple myeloma patients.

Kostopoulos, Ioannis V / Kakalis, Antonis / Birmpilis, Anastasios / Angelis, Nikolaos / Orologas-Stavrou, Nikolaos / Rousakis, Pantelis / Panteli, Chrysanthi / Gavriatopoulou, Maria / Kastritis, Efstathios / Dimopoulos, Meletios-Athanasios / Tsitsilonis, Ourania / Terpos, Evangelos

American journal of hematology

2022 Volume 98, Issue 3, Page(s) E65–E67

MeSH term(s)	Humans ; Immunogenic Cell Death ; Multiple Myeloma/drug therapy ; Antibodies, Monoclonal, Humanized
Chemical Substances	belantamab mafodotin (DB1041CXDG) ; Antibodies, Monoclonal, Humanized
Language	English
Publishing date	2022-12-30
Publishing country	United States
Document type	Letter ; Research Support, Non-U.S. Gov't
ZDB-ID	196767-8
ISSN	1096-8652 ; 0361-8609
ISSN (online)	1096-8652
ISSN	0361-8609
DOI	10.1002/ajh.26823
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Zs.A 1251: Show issues

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bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Hallmarks of intestinal stem cells.

Baulies, Anna / Angelis, Nikolaos / Li, Vivian S W

Development (Cambridge, England)

2020 Volume 147, Issue 15

Abstract: Intestinal stem cells (ISCs) are highly proliferative cells that fuel the continuous renewal of the intestinal epithelium. Understanding their regulatory mechanisms during tissue homeostasis is key to delineating their roles in development and ... ...

Abstract	Intestinal stem cells (ISCs) are highly proliferative cells that fuel the continuous renewal of the intestinal epithelium. Understanding their regulatory mechanisms during tissue homeostasis is key to delineating their roles in development and regeneration, as well as diseases such as bowel cancer and inflammatory bowel disease. Previous studies of ISCs focused mainly on the position of these cells along the intestinal crypt and their capacity for multipotency. However, evidence increasingly suggests that ISCs also exist in distinct cellular states, which can be an acquired rather than a hardwired intrinsic property. In this Review, we summarise the recent findings into how ISC identity can be defined by proliferation state, signalling crosstalk, epigenetics and metabolism, and propose an update on the hallmarks of ISCs. We further discuss how these properties contribute to intestinal development and the dynamics of injury-induced regeneration.
MeSH term(s)	Animals ; Cell Differentiation/physiology ; Cell Proliferation/physiology ; Homeostasis/physiology ; Humans ; Intestinal Mucosa/cytology ; Intestinal Mucosa/physiology ; Regeneration/physiology ; Stem Cell Niche/physiology ; Stem Cells/cytology ; Stem Cells/physiology
Language	English
Publishing date	2020-08-03
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Review
ZDB-ID	90607-4
ISSN	1477-9129 ; 0950-1991
ISSN (online)	1477-9129
ISSN	0950-1991
DOI	10.1242/dev.182675
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Ub I Zs.183: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG)
Zs.MG 91: Show issues

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Article: Waste Management and the Circular Economy in Cyprus—The Case of the SWAN Project

Angelis-Dimakis, Athanasios / Arampatzis, George / Alexopoulos, Andreas / Pantazopoulos, Andreas / Vyrides, Ioannis / Chourdakis, Nikolaos / Angelis, Vasilis

Environments. 2022 Jan. 23, v. 9, no. 2

2022

Abstract: The increase in waste volume and greenhouse gas emissions and decrease in raw-material reserves are some of the serious problems that our planet is facing. The measures needed to address these issues cannot be implemented under the prevailing linear ... ...

Abstract	The increase in waste volume and greenhouse gas emissions and decrease in raw-material reserves are some of the serious problems that our planet is facing. The measures needed to address these issues cannot be implemented under the prevailing linear economy model; hence, the circular economy model has been introduced. The successful implementation of circularity, whose basic principles include waste reduction, reuse, and recycling, requires a change in the behaviour of all the parties involved and is expected to lead to industrial–urban symbiosis schemes. The present paper looks at the current state and future prospects of the circular economy in Cyprus, based on the evidence drawn from an EU-funded project entitled “a digital Solid Waste reuse plAtform for BalkaN” (Project Acronym: SWAN). The project’s main objective was the design and development of a digital solid waste reuse platform involving four countries: Greece, Albania, Bulgaria, and Cyprus. Using the data collected, in the context of this project, from a sample of Cypriot industries, we looked into the familiarisation of the respondents with the basic concepts of circularity and their willingness to participate in symbiotic value chains. Moreover, we examined the composition of the waste streams produced by those industries and proposed potential waste reuse business models and subsequent symbiotic clusters.
Keywords	Cyprus ; circular economy ; greenhouse gases ; solid wastes ; symbiosis ; waste reduction ; Albania ; Bulgaria ; Greece
Language	English
Dates of publication	2022-0123
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2777960-9
ISSN	2076-3298
ISSN	2076-3298
DOI	10.3390/environments9020016
Database	NAL-Catalogue (AGRICOLA)

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Article: Single Nucleotide Polymorphisms' Causal Structure Robustness within Coronary Artery Disease Patients.

Ganopoulou, Maria / Moysiadis, Theodoros / Gounaris, Anastasios / Mittas, Nikolaos / Chatzopoulou, Fani / Chatzidimitriou, Dimitrios / Sianos, Georgios / Vizirianakis, Ioannis S / Angelis, Lefteris

Biology

2023 Volume 12, Issue 5

Abstract: An ever-growing amount of accumulated data has materialized in several scientific fields, due to recent technological progress. New challenges emerge in exploiting these data and utilizing the valuable available information. Causal models are a powerful ... ...

Abstract	An ever-growing amount of accumulated data has materialized in several scientific fields, due to recent technological progress. New challenges emerge in exploiting these data and utilizing the valuable available information. Causal models are a powerful tool that can be employed towards this aim, by unveiling the structure of causal relationships between different variables. The causal structure may avail experts to better understand relationships, or even uncover new knowledge. Based on 963 patients with coronary artery disease, the robustness of the causal structure of single nucleotide polymorphisms was assessed, taking into account the value of the Syntax Score, an index that evaluates the complexity of the disease. The causal structure was investigated, both locally and globally, under different levels of intervention, reflected in the number of patients that were randomly excluded from the original datasets corresponding to two categories of the Syntax Score, zero and positive. It is shown that the causal structure of single nucleotide polymorphisms was more robust under milder interventions, whereas in the case of stronger interventions, the impact increased. The local causal structure around the Syntax Score was studied in the case of a positive Syntax Score, and it was found to be resilient, even when the intervention was strong. Consequently, employing causal models in this context may increase the understanding of the biological aspects of coronary artery disease.
Language	English
Publishing date	2023-05-12
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2661517-4
ISSN	2079-7737
ISSN	2079-7737
DOI	10.3390/biology12050709
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Concomitant Valve Replacement and Coronary Artery Bypass Grafting Surgery: Lessons from the Past, Guidance for the Future? A Mortality Analysis in 294 Patients.

Spiliopoulos, Kyriakos / Magouliotis, Dimitrios / Angelis, Ilias / Skoularigis, John / Kemkes, Bernhard M / Salemis, Nikolaos S / Athanasiou, Thanos / Gansera, Brigitte / Xanthopoulos, Andrew V

Journal of clinical medicine

2023 Volume 13, Issue 1

Abstract: Objective: The aims of this study were to analyze parameters influencing early and late mortality after concomitant valve replacement and coronary artery bypass grafting surgery, using early and long-term information from an institutionally available ... ...

Abstract	Objective: The aims of this study were to analyze parameters influencing early and late mortality after concomitant valve replacement and coronary artery bypass grafting surgery, using early and long-term information from an institutionally available data registry, and to discuss the results in relation to the current treatment strategies and perspectives. Methods: The study population consisted of 294 patients after combined valve replacement with mechanical prosthesis and CABG surgery. Results: There were 201 men (68.4%) and 93 women (31.6%). Concurrent to the coronary artery bypass grafting, 238 patients (80.9%) underwent aortic-, 46 patients (15.6%) mitral- and 10 patients (3.4%) doublevalve replacement. Cumulative duration of follow up was 1007 patient-years (py) with a maximum of 94 months and was completed in 92.2% (271 cases). Overall hospital mortality (30 days) rate was 6.5% (n = 19). It was significantly higher in patients of female gender, older than 70 y, in those suffering preoperative myocardial infarction, presenting with an additive EuroScore > 8 and being hemodynamically unstable after the operation. Cumulative survival rate at 7.6 y was 78.6%. Determinants of prolonged survival were male gender, age at operation < 70 y, preoperative sinus rhythm, normal renal function, additive EuroScore < 8 and the use of internal thoracic artery for grafting. Subsequent multivariate analysis revealed preoperative atrial fibrillation (HR: 2.1, 95% CI: 0.82-5.44, Conclusions: Hospital mortality (30 d) was nearly 2.5-fold higher in female and/or older than 70 y patients. Preoperative atrial fibrillation and/ or a calculated ES > 8 were independent predisposing factors of late mortality for combined VR and CABG surgery. Tailoring the approach, with the employment of the newest techniques and hybrid procedures, to the individual patient clinical profile enables favorable outcomes for concomitant valvular disease and CAD, especially in high-risk patients.
Language	English
Publishing date	2023-12-30
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662592-1
ISSN	2077-0383
ISSN	2077-0383
DOI	10.3390/jcm13010238
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Article ; Online: CRISSPAC

Nikolaos Mittas / Fani Chatzopoulou / Efstratios Karagiannidis / Dimitrios Chatzidimitriou / Georgios Sianos / Lefteris Angelis / Ioannis S. Vizirianakis

SoftwareX, Vol 21, Iss , Pp 101310- (2023)

A web-based platform for predicting the SYNTAX Score and severity of coronary artery disease

2023

Abstract: CRISSPAC is an open-source web-based platform for the prediction of the Syntax Score and the severity of coronary artery disease (CAD) providing a variety of data analytics and machine learning solutions presented via an-easy-to-use graphical interface ... ...

Abstract	CRISSPAC is an open-source web-based platform for the prediction of the Syntax Score and the severity of coronary artery disease (CAD) providing a variety of data analytics and machine learning solutions presented via an-easy-to-use graphical interface environment. The aim of the software is two-fold: (1) to facilitate both retrospective and prospective objectives dedicated to the diagnosis of the complexity of CAD; (2) to support open science principles through the public availability of the source code. Our envision is to promote software extensibility and utilization towards accurate diagnosis, decision-making processes and personalized patient management and counseling activities.
Keywords	Coronary artery disease (CAD) ; Personalized (precision) medicine ; Prediction algorithm ; Decision support tool ; Computer software ; QA76.75-76.765
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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