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Publications - 6278

Preface

Publication Name: Studies in Computational Intelligence

Publication Date: 2020-01-01

Volume: 819

Issue: Unknown

Page Range: v-ix

Description:

No description provided

Open Access: Yes

DOI: DOI not available

European weed vegetation database – A gap-focused vegetation-plot database

Publication Name: Phytocoenologia

Publication Date: 2020-01-01

Volume: 50

Issue: 1

Page Range: 93-100

Description:

This report presents the European Weed Vegetation Database, a new database of vegetation plots documenting short-lived vegetation of arable and ruderal habitats from Europe and Macaronesia. The database comprises the phytosociological classes Papaveretea rhoeadis, Sisymbrietea, Chenopodietea and Digitario sanguinalis-Era-grostietea minoris. It is a gap-focused database containing mainly plots of this vegetation from the areas not yet represented in the European Vegetation Archive (EVA), to facilitate its accessibility for researchers to answer various questions. As of the end of 2018, it contained 24,734 plots, predominantly from Southern Europe. The data can be used for phytosociological studies, various kinds of interdisciplinary research as well as for studies for agronomy, nature management and biodiversity conservation.

Open Access: Yes

DOI: 10.1127/phyto/2019/0337

Exploring parental perspectives of childhood speech and language disorders across 10 countries: A pilot qualitative study

Publication Name: Journal of Speech Language and Hearing Research

Publication Date: 2021-05-01

Volume: 64

Issue: 5

Page Range: 1739-1747

Description:

Purpose: Although researchers have explored parental perspectives of childhood speech and language disorders, most studies have been conducted in English-speaking countries. Little is known about parental experiences across countries, where procedures of language screening and services for language disorders differ. The authors participated in the COST1 Action network IS1406, “Enhancing Children’s Oral Language Skills Across Europe and Beyond,” which provided an opportunity to conduct cross-country qualitative interviews with parents. The aim of this pilot study was to explore ways in which parents construed and described speech and language disorders across countries. Method: Semistructured qualitative interviews were conducted with parents from 10 families in 10 different countries. The data were analyzed using thematic analysis. Findings: The overall theme was “acknowledging parental expertise.” The parents described, in detail, ways in which their children’s speech and language (dis)abilities had an impact on the children’s everyday life. Three subthemes were identified: impairment, disability, and changes over time. Conclusions: The findings suggest that, across a range of countries, parents demonstrated contextualized understandings of their children’s speech and language (dis)abilities, along with the everyday functional implications of the disorders. Hence, despite not holding professional knowledge about language disorders, the voices, views, understandings, and personal experiences of parents in relation to their child’s disorder should be listened to when planning therapy services.

Open Access: Yes

DOI: 10.1044/2020_JSLHR-20-00415

A Learning Factory Environment for Human–Robot Collaboration-Based Remanufacturing Supported by Artificial Intelligence Solutions

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1546 LNNS

Issue: Unknown

Page Range: 296-303

Description:

In contrast to one-way assembly of products, simple disassembly and more complex remanufacturing present additional challenges and unknowns on several levels, often requiring human capabilities to be combined with machines—thereby becoming a rewarding deployment field for human–robot collaboration, supported by artificial intelligence, advanced planning and extended reality for improved human–machine interrelations. While the industry has realized little benefit of these—still evolving—areas, learning factories can contribute to closing gaps in skills and mindset of future engineers likely to actively shape the aforementioned fields at the time they begin to notably penetrate industrial production. The paper proposes an approach for building up a portfolio of learning factory resources supporting students in acquiring and independently refining knowledge and practice related to collaborative remanufacturing. The paper presents an incremental approach extending manufacturing knowledge to diagnostics and disassembly in collaborative environments, with an outlook on more comprehensive remanufacturing.

Open Access: Yes

DOI: 10.1007/978-3-031-98883-7_36

Gifted Education in the Age of Mass Higher Education

Publication Name: Palgrave Critical University Studies

Publication Date: 2025-01-01

Volume: Part F4967

Issue: Unknown

Page Range: 85-103

Description:

In this chapter the authors discuss the impact of mass higher education’s expansion on soliciting talents and gifted students. Coining the term “gifted” education, they highlight the challenge of maintaining educational quality and inclusivity amid the rise of institutions with corporate orientations. The chapter argues for the importance of exclusive (elite) institutions designed for gifted education as a means to combat educational inequalities and enhance social mobility. Through a case study of Bibó István College in Budapest, Hungary, the authors demonstrate how such institutions can reconcile the need for academic excellence with democratic participation and social responsibility.

Open Access: Yes

DOI: 10.1007/978-3-031-93130-7_5

Enhancing cognitive metrics in supply chain management through information and knowledge exchange

Publication Name: International Journal of Logistics Management

Publication Date: 2025-01-01

Volume: 36

Issue: 7

Page Range: 200-221

Description:

Purpose: This research primarily aims to investigate the impact of organizational implants on knowledge transmission, process innovation and security integration in intricate supply chains. Design/methodology/approach: The research utilizes a mixed-method approach, employing a stratified sampling strategy to get a representative sample of 1,284 enterprises from various sectors within the logistics industry within the European Union. Data were gathered by computer-assisted web interviewing (CAWI) and analysed utilizing structural equation modelling (SEM) to evaluate hypotheses concerning cognitive congruence, process diffusion and security integration. Findings: The results indicate that while task interdependence clearly improves face-to-face communication, excessive cognitive congruence can hinder process innovation, resulting in what the article terms “cognitive rigidity.” The study suggests that achieving a balance between cognitive congruence and cognitive flexibility is crucial to improving the safety diffusion and integration process. Originality/value: This study presents an innovative conceptual framework that synthesizes cognitive congruence, cognitive flexibility and cognitive rigidity to examine their combined influence on knowledge transfer and process dissemination throughout supply chains. It presents cognitive stiffness as a boundary condition, contesting the conventional belief that more cognitive congruence is invariably advantageous.

Open Access: Yes

DOI: 10.1108/IJLM-04-2024-0243

In vitro Multi-targeted Anti-cancer Effects of Bavachinin in Papillary Thyroid Carcinoma Cell Line: Dual Pathway Inhibition and Cytokine Downregulation

Publication Name: Iranian Journal of Pharmaceutical Research

Publication Date: 2025-01-01

Volume: 24

Issue: 1

Page Range: Unknown

Description:

Background: Thyroid cancer is the most common endocrine malignancy, with aggressive subtypes frequently demonstrating resistance to conventional therapies. Bavachinin, a natural flavonoid derived from Psoralea corylifolia, has exhibited anti-cancer activity in various tumor models; however, its effects on thyroid cancer remain largely undefined. Objectives: The aim of this study is to evaluate the anti-cancer activity of bavachinin in the papillary thyroid carcinoma TPC-1 cell line and elucidate its underlying molecular mechanisms. Methods: TPC-1 cells were treated with bavachinin (5 - 20 μM) for 24 - 72 hours. Cell viability was assessed using the 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT assay); morphological changes were visualized by confocal microscopy. Migration and invasion were analyzed by wound-healing and Transwell assays, respectively. Cytokine secretion was measured using enzyme-linked immunosorbent assay (ELISA). Gene and protein expression levels of protein kinase B (AKT), mechanistic target of rapamycin (mTOR), extracellular signal-regulated kinase 1/2 (ERK1/2), and c-Jun N-terminal kinase (JNK) were evaluated by quantitative real-time polymerase chain reaction (qRT-PCR) and Western blotting. Apoptosis was confirmed by assessing the B-cell lymphoma-2-associated X protein (BAX)/B-cell lymphoma-2 (BCL-2) ratio and cleaved caspase-3 activity. All experiments were performed in triplicate, and data are presented as mean ± standard deviation (SD). Statistical significance was determined by one-way analysis of variance (ANOVA) followed by Tukey’s post-hoc test (P < 0.05). Results: Bavachinin significantly reduced cell viability, migration, and invasion in a dose-dependent manner (20 μM reduced viability by approximately 50% at 72 hours, P < 0.01). It suppressed the phosphorylation of AKT and ERK1/2, downregulated mTOR expression, and decreased secretion of tumor necrosis factor-alpha (TNF-α) and interleukin-1 beta (IL-1β). Apoptosis was confirmed by an increased BAX/BCL-2 ratio and elevated cleaved caspase-3 levels. Conclusions: Bavachinin exerts multi-targeted anti-cancer effects in thyroid carcinoma cells through dual inhibition of the phosphoinositide-3-kinase (PI3K)/AKT/mTOR and mitogen-activated protein kinase (MAPK)/ERK pathways, along with suppression of pro-inflammatory cytokines, culminating in apoptosis and impaired invasiveness.

Open Access: Yes

DOI: 10.5812/ijpr-166894

Hierarchical-interpolative fuzzy system construction by Genetic and Bacterial Programming Algorithms

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2011-09-27

Volume: Unknown

Issue: Unknown

Page Range: 2116-2122

Description:

In this paper a method is proposed for constructing hierarchical- interpolative fuzzy rule bases in order to model black box systems defined by input-output pairs, i.e. to solve supervised machine learning problems. The resulting hierarchical rule base is the knowledge base, which is constructed by using evolutionary techniques, namely, Genetic and Bacterial Programming Algorithms. Applying hierarchical-interpolative fuzzy rule bases is an advanced way of reducing the complexity of the knowledge base, whereas evolutionary methods ensure a relatively efficient learning process. This is the reason of the investigation of this combination. © 2011 IEEE.

Open Access: Yes

DOI: 10.1109/FUZZY.2011.6007594