bluuebunny/crossref_metadata_2025_split huggingface dataset:
The evolutıon of dıgıtal leadershıp: content and sentıment analysıs of the New York Tımes coverage
Authors: Balcioğlu Yavuz Selim , Artar Melike 
Published: May 2024

AbstractThis research paper examines the evolution of digital leadership as portrayed in The New York Times articles from 2020 to 2022, addressing the growing complexities and strategic roles influenced by digital technologies. The study identifies critical issues in digital leadership, including ethical dilemmas, cybersecurity threats, and the digital divide, which pose significant challenges to effective digital governance and strategy implementation. The objectives of this research were to uncover and analyze the prevailing themes and sentiments associated with digital leadership using advanced Natural Language Processing (NLP) and Artificial Intelligence (AI) tools, specifically Nvivo and Monkeylearn. Our methodology involved a content and sentiment analysis of 318 articles, chosen from an initial pool of 387, resulting in a dataset of 2,428 content blocks. This analysis enabled the identification of major themes: Digital Transformation, Innovation, Remote Working, and Cybersecurity. The results indicate that ‘Digital Transformation’ and ‘Innovation’ were the most prominent themes, with significant discussions around ‘technology adoption’ and ‘AI’. The sentiment analysis quantitatively underscores the public discourse, revealing that 60% of the analyzed content carried a positive tone, reflecting an optimistic view towards digital advancements. Conversely, 29% expressed negative sentiments, emphasizing the urgent need to address associated risks. Significantly, the statistical evaluation of theme prevalence and sentiment ratios provides a nuanced understanding of the digital leadership landscape, suggesting a critical balance is necessary between leveraging opportunities and mitigating risks. These findings contribute to the theoretical and practical discussions on digital leadership by highlighting the importance of strategic adaptability and ethical considerations in shaping policies that are both inclusive and effective. In conclusion, this study offers a detailed, numerical insight into the complexities of digital leadership, providing valuable evidence for policymakers and business leaders aiming to navigate the challenges and opportunities presented by digitalization.
Comfortable Crossing Strategies for Robots
Authors: Neggers Margot M. E. , Belgers Simon , Cuijpers Raymond H. , Ruijten Peter A. M. , IJsselsteijn Wijnand A. 
Published: May 2024

AbstractIncreasingly often robots are deployed in human environments, where they will encounter people. An example of a challenge robots encounter is crossing paths with a human. Based on human-robot proxemics research one would expect that people would keep a certain distance to maintain an appropriate comfort level. However it is unclear whether this also holds for crossing scenarios between a robot and a person. In the first experiment presented in this paper, a humanoid robot crossed paths with a person in which the crossing angle and acceleration of the robot were manipulated. Results showed that participants deviated more from a straight path when the robot arrived earlier at the crossing point compared to the other trials and when it accelerated or when the robot itself deviated from a straight path. If participants had to deviate from their path, it was regarded as less comfortable and it required more effort. In the second experiment, an autonomous guided vehicle was used, and we tested the moving speed of the robot. Similar to the first experiment, when the robot kept a straight path or stopped, it was regarded as the most comfortable. The results show that it is more comfortable if a robot does not change its direction while crossing paths with the robot. These findings indicate that perceived comfort is not merely determined by distance, but is more strongly affected by how predictable the robot is.
Prediction of cadmium content using machine learning methods
Authors: Keçeci Mehmet , Gökmen Fatih , Usul Mustafa , Koca Celal , Uygur Veli 
Published: May 2024

AbstractHeavy metals are the most environmentally hazardous pollutions in agricultural soils, threatening humans and several ecosystem services. Cadmium (Cd) is a highly toxic element but distinctively different from other heavy metals with its high mobility in soil environments. The study aimed to evaluate the Cd concentration of soils in the Konya plain with a specific attribute to soil fertilization, mainly phosphorous fertilizers. A total of 538 surface (0–20 cm) soil samples were analyzed to determine basic physical and chemical properties and total phosphorus (P) and Cd concentrations. Descriptive statistics, machine learning, and regression models were used to assess the accumulation of Cd in soils. Decision Trees, Linear Regression, Random Forest, and XGBoost machine learning methods were used in Cd prediction. The XGBoost model proved to be the best prediction model, with a coefficient of determination of 98.1%. Electrical conductivity, pH, CaCO3, silt, and P were used in the Cd estimation of the XGBoost model and explained 56.51% of the total variance in relation to measured soil properties. The results revealed that a machine learning algorithm could be useful for estimating Cd concentration in soils using basic physical and chemical soil properties.
Integrative analysis indicates the potential values of ANKRD53 in stomach adenocarcinoma
Authors: Jin Chunjing , Lu Xu , Yang Minfeng , Hou Shiqiang 
Published: May 2024

Abstract
Background
Ankyrin repeat domain 53 (ANKRD53) plays an important role in maintaining chromosome integrity and stability, and chromosome instability is associated with cancer. Through integrative analysis, this study investigates the potential value of ANKRD53 in stomach adenocarcinoma (STAD).

Methods
RNA-seq and scRNA-seq data were used for integrative analysis based on online databases. Expression of ANKRD53 was confirmed by RT-PCR after bioinformatic analysis. Kaplan–Meier and Cox regression analyses were performed to evaluate the prognostic value of ANKRD53 in STAD. Gene set enrichment analysis (GSEA) was performed to evaluate ANKRD53-related signaling pathways. In addition, the interaction of ANKRD53 with immunity was also investigated.

Results
RT-PCR in STAD cell lines confirmed that ANKRD53 was downregulated in STAD samples compared to normal samples in the online databases. As an independent predictive biomarker, ANKRD53 was combined with other clinicopathological parameters to create a prognostic nomogram. Using GSEA, ANKRD53 was found to be involved in five pathways, including the TGF-β signaling pathway. Further investigation revealed that ANKRD53 was associated with immune checkpoint molecules, immunological pathways, and immunotherapy, in addition to MSI, TMB and neoantigens. In addition, scRNA-seq data revealed that ANKRD53 is mainly expressed in CD8+ T and dendritic cells.

Conclusions
ANKRD53 is an important biomarker for STAD that deserves further attention.
miR-4429 inhibits ccRCC proliferation, migration, and invasion by directly targeting CD274
Authors: Hong GuangYi , Wu YiKun , Huang ShiYu , Hu Yang , Zhang Ying , Guo CiCi , Shi Hua , Xu ShuXiong 
Published: May 2024

AbstractClear cell renal cell carcinoma (ccRCC) is one of the most aggressive urological malignancies and a highly immunogenic cancer. Yet, its pathogenesis is still not fully understood. This study analyzed the role of the miR-320 family in ccRCC using bioinformatics algorithms and a series of in vitro experiments. miR-4429 was found to be significantly down-regulated in ccRCC tissues and cell lines, while overexpression of miR-4429 significantly inhibited renal cancer cell proliferation, migration, and invasion in vitro. In addition, the UALCAN database, immunohistochemistry, and protein blotting results showed that CD274 expression was up-regulated in ccRCC tissues and correlated with higher histologic grading. Dual luciferase assay indicated that CD274 was a direct target of miR-4429. Overexpression of miR-4429 in 786-O, Caki-2 cells significantly inhibited CD274 expression. KEGG results indicated that the potential target function of miR-4429 was associated with the PI3K/AKT signaling pathway, and protein blotting verified the results. In summary, this data shows that miR-4429 targets CD274 and inhibits ccRCC proliferation, migration, and invasion by regulating PI3K/AKT signaling, thus potentially providing a promising therapeutic target and prognostic biomarker for renal cell carcinoma patients.
Graphical Abstract
Proof of concept of an experimental prototype for the prevention of parastomal hernia
Authors: García-Manzanares María Elena , Zaragoza-García Ignacio , Avilés-Escudero Mercedes , Alonso-Cortés Fradejas Beatriz 
Published: May 2024

Abstract
Purpose
The aim of this study was to analyse the complications and problems associated with the use of an experimental prototype designed for the prevention of parastomal hernia (PSH), one of the most frequent complications in ostomates.

Methods
A single-centre, non-comparative, proof-of-concept interventional pilot study of an experimental prototype designed to be used in conjunction with an abdominal compression binder to prevent PSH was conducted. The “Ostomy Fixation Device for Hernia Prevention” (patent P201531826) is a semi-rigid ostomy protector, to be used in conjunction with a compression binder. It is designed to adapt to the dimensions of standard ostomy bags from different brands and serves to transmit, in a localised manner, the support coming from the compression binder in the peristomal area without putting pressure on the collection bag. The main outcome measures were efficacy, safety, and patient-users’ opinion/perception.

Results
Ten patients were studied for 12 months. Mean age was 61 years (± 11.59), 70% (7) were male, 80% (8) ostomised for colorectal cancer, 90% (9) underwent planned surgery and 80% (8) had a colostomy. Efficacy: the incidence of HPE was 10% (1). Safety: no participant experienced pain, discomfort, itching, stinging, leakage, pouch detachment, allergy to components, or injury to the stoma or peristomal skin due to rubbing or pressure. 90% (n = 9) were considered “very satisfied” or “satisfied” with the device.

Conclusions
An innovative device designed in collaboration between healthcare professionals and end-users has been shown to be safe and effective in reducing PSH in the group of ostomates studied.
High-Q Fabry-Pérot Cavity Based on Micro-Lens Array for Refractive Index Sensing
Authors: Wang Qi , Zhao Xuyang , Luo Man , Li Yuxiang , Liu Junjie , Wu Xiang 
Published: May 2024

Abstract
Fabry-Pérot (FP) microcavities have attracted tremendous attention in recent years due to their favorable optical characteristics of the high quality (Q) factor and small mode volume. In this work, we presented a novel approach that utilized the soft lithography and imprinting technology to incorporate the convex micro-lens array structure into the FP (FP-lens) cavity. A strong mode-profile restriction of the micro-lens simultaneously reduced the mode volume and enhanced the Q factor, exhibiting high tolerance to non-parallelism of mirrors compared with that of the plane-plane FP (PP-FP) microcavities. In the experiment, the Q factor of the FP-lens cavity was measured to be 8.145×104, which exhibited a 5.6-fold increase than that of the PP-FP cavity. Furthermore, we experimentally measured the refractive index sensing performance of the FP-lens cavity with the sensitivity of 594.7 nm/RIU and a detection limit of 4.26×10−7 RIU. On the basis of this superior sensing performance, the FP-lens cavity has the great potential for applications in biosensors.
Hydrothermal liquefaction of catering wastes towards biofuel intermediates
Authors: Liakos Dimitris , Chrysikou Loukia P. , Triantafyllidis Konstantinos , Bezergianni Stella 
Published: May 2024

AbstractThe potential application of the hydrothermal liquefaction process on catering wastes, spent coffee grounds (SCG) and orange peels, towards reducing municipal wastes was examined in this study, targeting to the production of biofuel intermediates. The study was focused on the two main process parameters, temperature (280–350 °C) and residence time (5–60 min) while the other parameters such as biomass/solvent ratio and applied extractant were selected according to literature. The results indicated that spent coffee grounds are a more promising feedstock, rendering higher bio-crude oil yield than orange peels (34 wt% and 22 wt% respectively). The optimal conditions for each feedstock varied due to their different structural properties, which not only affected the products’ yields but also their quality. To better understand the distribution of the process degradation products and a part of the reaction’s pathway, the gas product was analyzed via GC-FID, and the aqueous phase was studied via HPLC analysis. Finally, the bio-crude oil was subjected to elemental, thermogravimetric, and GC-MS analysis to determine its quality and biofuel potential, based on which the bio-crude oil derived from spent coffee grounds showed promising results while orange peel–derived oil is of lower value. According to the study’s findings, the bio-crude oil can be utilized as a fuel substitute after being upgraded via hydrotreatment enabling the heteroatoms removal and enhancing its fuel properties.
Graphical abstract
Meta-Borders and the Rule of Law: From Externalisation to ‘Responsibilisation’ in Systems of Contactless Control
Authors: Moreno-Lax Violeta 
Published: May 2024

AbstractThis article contests the strategic use of what I have called meta-borders. These are the array of border enforcement mechanisms implemented beyond the physical frontiers of States through different means and by different actors, for the purpose or with the effect of denying human rights protection to (unwanted) non-citizens. The ensuing ‘irresponsibilisation’ of States of destination, on whose behalf or for whose benefit the measures are executed, is anathema to the Rule of Law. My main contention is that prevailing understandings of jurisdiction and responsibility, as applied to externalised migration controls (the core feature of meta-borders), need to be revised. Currently, they allow for the emergence of a double standard, solely dependent on location, whereby the State may act abroad with impunity in relation to the human rights consequences of its conduct, exploiting geographical distance to create and legitimate ethical and legal detachment from its own wrongdoing. This article proposes an alternative model of ‘responsibilisation’ that tallies with the flexible spatiality of migration governance. The functional configuration of the meta-border is matched with an equally functional conceptualisation of jurisdiction that rejects unaccountable forms of power. The article thus problematises the localisation of the meta-border, mapping its multiple roles, modes, and dimensions, highlighting the significance of its legal manifestations, before exploring the impact of law on the de-territorialisation of the sovereign exercises of demarcation, delimitation, and exclusion that it implies. The meta-border, crafted by legal fiat, actively (re)orders space, curtailing the reach of human rights and disclaiming responsibility for related violations. To reconcile power with accountability, I advance the ‘responsibilisation’ model, premised on the acceptance that human rights, as fundamental components of the Rule of Law, track and constrain all exercises of State authority.
Investigation of interfacial shear strength of hybrid fibre-reinforced polyamide composite structures made by fused granular fabrication and automated tape laying
Authors: Rackwitz Cornelius , Scholz Simon , Vyhnal Moritz , Hirsch Patrick , Schlimper Ralf , Zscheyge Matthias , Kotera Ondrej , Stipkova Michaela , Scholz Sebastian 
Published: May 2024

AbstractFused granular fabrication (FGF), a technology within the framework of large format additive manufacturing (LFAM), focuses on cost-effective granulate-based manufacturing, eliminating the need for semi-finished filaments. The anisotropic behaviour of 3D-printed parts is evident in their varying mechanical properties along different axes, which are amplified when fibres are incorporated into the material. In this study, a significant improvement in the flexural stiffness and strength of manufactured FGF structures and a lowering of anisotropic behaviour have been achieved through the integration of continuous fibre-reinforced unidirectional tapes (UD-tapes). With the employment of automated tape laying (ATL), UD-tapes have been applied to plate structures manufactured by the FGF process. The manufactured structures were characterised in terms of their morphology and mechanical behaviour by 3-point-bending tests. As the effectiveness of the UD-tape reinforcement requires sufficient bonding between the UD-tape and the FGF structure, the interface morphology and interface strength were investigated. Different surface preparations were considered prior to tape laying to account for the influence of the surface quality of FGF structures. It was demonstrated that UD-tape laying on an FGF surface that was prepared by a milling process provides a higher interface shear strength compared to an untreated FGF surface.
Cap-snatching mechanism-mediated unveiling of the transcriptional initiation sites of two distinct begomoviruses
Authors: Arif Muhammad 
Published: May 2024

AbstractSignificant economic losses are inflicted by plant viruses, which pose a risk to sustainable agriculture. The proliferation of novel viral diseases is predominantly attributable to factors such as climate change, international trade, and the rapid evolutionary capabilities of viruses. Begomoviruses are a major group of plant-infecting viruses that pose an imminent threat to global agriculture by causing devastating viral diseases in many crop species. The transcriptional start sites (TSSs) of many plant viruses are typically found in the intergenic region (IR), which is the non-coding (NC) area between the viral genes. The promoters play a crucial role in initiating the transcription process by aiding in the recruitment of cellular transcription machinery. The TSSs are precise nucleotide sequences where RNA polymerase initiates the transcription process. The primary objective of this study was to determine the total number of TSSs for two devastating begomoviruses, family: Geminiviridae, Cotton leaf curl Multan virus (CLCuMuV) and Ageratum yellow vein mosaic virus (AYVMV), using the cap-snatching method in conjunction with one heterologous plant virus. These two begomoviruses, along with their infectious clones, were intentionally infected with selected heterologous plant virus in N. benthamiana plants. The identification of the 5′ ends of heterologous viral mRNA was accomplished by employing high-throughput sequencing to assess the capped RNA leaders (CRLs). The determination of the 5′ termini of suspected begomoviral mRNAs was achieved by aligning the collected CRLs of heterologous virus with the genome of each begomovirus, taking into account only those that were a perfect match with the begomoviral genome. In this study, the TSSs of both begomoviruses were identified via complementary approach. The utilization of high-throughput sequencing for both begomoviruses has facilitated the acquisition of millions of sequences. Comprehending the TSSs and promoter components of begomoviruses is crucial for understanding their ability to cause disease, their interactions with host organisms, and for developing effective methods to manage and control the diseases, they inflict on economically significant crop plants.
Progress in hydrogen fuel cell vehicles and up-and-coming technologies for eco-friendly transportation: an international assessment
Authors: Soleimani Alireza , Hosseini Dolatabadi Sayed Hamid , Heidari Mehrdad , Pinnarelli Anna , Mehdizadeh Khorrami Behrouz , Luo Yang , Vizza Pasquale , Brusco Giovanni 
Published: May 2024

AbstractThe urgent need for sustainable energy solutions in light of escalating global energy demands and environmental concerns has brought hydrogen to the forefront as a promising renewable resource. This study provides a comprehensive analysis of the technologies essential for the production and operation of hydrogen fuel cell vehicles, which are emerging as a viable alternative to traditional combustion engine vehicles. It examines various fuel cell types, hydrogen storage methods, refueling logistics, and the role of batteries in fuel cell vehicles. The paper also explores the potential impact of advancements in artificial intelligence and quantum computing on the development of fuel cell vehicles. A global assessment reveals that South Korea (19,270) and the United States (12,283) are leading in the adoption of fuel-cell vehicles, particularly in the passenger car segment (82%), followed by buses (9.2%) and trucks (8.7%). The study highlights the challenges hindering fuel cell vehicle implementation, such as the need for consistent investment and collaboration among industry stakeholders to promote sustainable transportation systems. The analysis underscores the practicality of fuel cell vehicles, exemplified by models like the Toyota Mirai and Hyundai Nexo, which offer significant driving ranges and demonstrate the integration of advanced technologies. The paper discusses the environmental benefits of fuel cell vehicles, including their ability to operate with zero emissions when paired with renewable energy sources.
Graphical Abstract
Interactions of polyvinyl acetate dispersions with nanostructured superhydrophilic and superhydrophobic Ti6Al4V alloy surfaces
Authors: Neßlinger Vanessa , Atlanov Jan , Grundmeier Guido 
Published: May 2024

AbstractNanostructured bilayer thin films with superhydrophobic and superhydrophilic surfaces were prepared using Ti6Al4V alloy substrates which allowed for the comparative analysis of polyvinyl acetate (PVAc) particle adsorption as a function of the interface structure. The PVAc particles were obtained from emulsion polymerization of vinyl acetate. A superhydrophilic TiO2 nanofiber-based 3D network was created on the Ti6Al4V alloy substrate by application of a hydrothermal method. Subsequent UV-grafting of ultra-thin polydimethylsiloxane (PDMS) layers resulted in a superhydrophobic surface. The modification steps were followed via Diffuse Reflectance Infrared Fourier Transform Spectroscopy, X-ray Photoelectron Spectroscopy, Field Emission-Scanning Electron Microscopy, contact angle and Electrochemical Impedance Spectroscopy. A mechanism for the adsorption of PVAc at the two electrolyte/substrate interfaces could be revealed.