bluuebunny/crossref_metadata_2025_split huggingface dataset:
Three Tacit Gossipers: A Few Symbol Strings Regarding New ai and Old Philosophy
Authors: Stjernfelt Frederik 
Published: September 2024

Abstract
This article investigates recent shifts in the landscape of Artificial Intelligence (ai), focusing on the emergence and controversies surrounding Large Language Models (llm s). Tracing the historical trajectory of ai enthusiasm from the 1960s to the present, the paper delves into the paradigm shifts influenced by symbolic ai, parallel distributed processing, and the rise of llm s, with particular emphasis on the transformative impact of OpenAI’s ChatGPT 3.5 release in late 2022. The paper contributes to the ongoing discourse on ai ethics, societal implications, and the intricate debate surrounding the perceived intelligence and consciousness of contemporary language models.
Coming Clean on Normativity with the Honest Broker
Authors: Fuller Steve 
Published: September 2024

Abstract
Finn Collin has been the honest broker of social epistemology. In this article, I attempt to come clean on the nature and sources of what I have always regarded as the ‘normative’ horizon of the field. It basically turns on a social constructivist reading of Plato’s Phaedrus, the dialogue from which modern analytic epistemology also takes its inspiration. I pursue the implications of this approach in various normative fields of philosophy.
Constructivism and/or Constructionism
Authors: Køppe Simo 
Published: September 2024

Abstract
On several occasions, Finn Collin has engaged in discussions surrounding social constructivism, a relatively recent theoretical orientation emerging through the development of naturalized science studies from the 1970s. Inspired by Finn’s work, this paper explores the distinction between ‘social constructivism’ and ‘social constructionism’ and their origins in various strands of the sociology of knowledge.
Enhancing HVAC multivariable system performance through hybrid modeling and direct Nyquist Array control
Authors: Touqan Basim , Ameer Alaa Abdul 
Published: September 2024

This study explores a closed-loop multivariable control system for HVAC systems. A hybrid distributed parameter-lumped model was developed using MATLAB’s System Identification Application, resulting in a transfer function matrix. The Direct Nyquist Array (DNA) control strategy was applied, dividing the HVAC system into two SISO loops, each equipped with PID controllers. Stability analysis confirmed system stability according to the Nyquist criterion. Simulation of the system under DNA control showed improved performance over the open-loop setup, with faster response times of nearly 1 s and overshoots between 7% and 15%, maintaining thermal comfort and occupant satisfaction. The system effectively managed ambient heat transfer variations, maintaining desired airflow rate and air temperature. The closed-loop setup exhibited robustness against disturbances, quickly returning to steady-state values. Settling times ranged from 1 to 2 s with minimal impact on HVAC performance. Overall, the closed-loop multivariable DNA control with SISO PID controllers proved reliable for enhancing energy efficiency and thermal comfort in HVAC systems. Practical application This study provides a comprehensive framework for multivariable control in HVAC systems, significantly benefiting built environment professionals by enhancing energy efficiency and occupant comfort. By applying advanced control strategies, the research offers practical solutions for optimizing HVAC performance, reducing operational costs, and ensuring sustainability in building management. The detailed analysis and methodologies presented can be directly implemented to improve system reliability and responsiveness, thereby supporting professionals in creating smarter, more resilient, and environmentally friendly built environments.
Analytical modeling and performance improvement of an electric two-stage centrifugal compressor for fuel cell vehicles
Authors: Li Huan , Zuo Shuguang , Chen Siyue 
Published: September 2024

The integrated two-stage electric centrifugal compressors are most widely used in the present fuel cell vehicles. Air compressors influence the efficiency of fuel cell systems significantly, so it is crucial to improve the energy efficiency of centrifugal compressors. However, there is a lack of centrifugal compressor performance models that can reflect the thermodynamic characteristics of two-stage compression system, which is the main focus of this paper. In this paper, an analytical model of two-stage centrifugal compressor performance considering the thermodynamic characteristics of two-stage compression was first derived and experimentally validated. The single-stage centrifugal compressor model (SSCCM) can be treated as a lumped parameter model of the two-stage centrifugal compressor to predict the compressor performance. Therefore, the SSCCM and the two-stage centrifugal compressor model (TSCCM) were compared. The results show that the TSCCM is more accurate and robust. Furthermore, a novel compressor structure equipped with an intercooler in the inter-stage piping was proposed to improve the energy efficiency of the centrifugal compressor. Based on this novel structure, the TSCCM was modified. Finally, a quantitative analysis was performed to study the effect of an inter-stage intercooler on compressor efficiency. Compared to the original compressor without the inter-stage intercooler, the efficiency improvement by the inter-stage intercooler can be in the range of 3.29–3.97%, with power savings of 0.332–0.635 kW. The study can be used to support engineers and researchers in fast identifying effective solutions in terms of design for the next generation of centrifugal compressors.
Prehospital neurological emergencies– a survey on the state of prehospital neurological assessment by emergency medical professionals
Authors: Brauckmann Vesta , Hudasch Dominica , Gräff Pascal , Riecke Torben , Aktas Gökmen , Mayor Jorge , Macke Christian 
Published: September 2024

Abstract
Background
Neurological emergencies are one of the major diagnosis groups in the Emergency Medical Services (EMS) with the highest rate of misdiagnosis. Despite the knowledge of time sensitivity and the importance of prehospital factors, prehospital delay is common. Although several stroke triage scales have been developed, a gold standard in the prehospital setting is lacking.

Objectives
Our aim was to evaluate the perception of neurological emergencies by EMS personnel and to identify current problems, difficulties and opportunities for improvement in the prehospital management of stroke, seizure, non-specific neurological symptoms, and paediatric neurological emergencies.

Methods
The study was conducted as an online survey through SoSci Survey and was made available from March 1st to June 30th 2023 to all personnel working in emergency medical services. The access link was distributed through snowballing, social media, and through a QR code on a promotional poster. The survey was completed anonymously. The final survey consisted of 30 questions in German on the topics of neurological emergencies, general neurological assessment, specific neurological examination including paediatric assessment, stroke, and seizures, and finally suggestions for improvement.

Results
The largest group of participants were paramedics, who estimated to encounter neurological emergencies at a general rate of 20–60%. When unease was felt, the main reasons were ambiguity of symptoms and insufficient admission capacity of hospitals. The biggest challenges were highly varied. Almost 80% of participants assumed that the neurological assessment would be omitted in difficult patient groups such as demented, intoxicated or children. 75% felt uncomfortable making a paediatric assessment, 50% were unfamiliar with the Paediatric Glasgow Coma Scale.

Conclusions
Support through more standardized practical training and defined, uniform guidelines is needed. There was also a clear need for peer collaboration, feedback and case sharing. Digitalization, the usage of telemedicine and updated versions of the documentation protocols including paediatric adaptations to current guidelines could further improve current neurological assessment in the prehospital setting.
Iran’s health insurance ecosystem: challenges and strategies
Authors: Rahimisadegh Rohaneh , Noori Hekmat Somayeh , Mehrolhassani Mohammad Hossein , Jafari Sirizi Mohammad 
Published: September 2024

Abstract
Introduction
Identifying and exploiting stewardship and financing challenges in Iran’s health insurance system as an ecosystem is essential to achieving predetermined goals. This study aimed to determine the challenges and strategies in the Iranian health insurance ecosystem to provide relevant evidence to healthcare managers and policymakers to improve its functions and perform necessary reforms.

Method
This qualitative study was conducted at the national level in Iran. Data were collected using semi-structured interviews and analyzed using the directed content analysis method. The study participants included managers and experts in health insurance and faculty of universities of medical sciences, who were selected by purposive sampling.

Results
The challenges and strategies expressed by participants were categorized into two functions: stewardship and financing. Four main themes, ten subthemes, 22 challenges, and 24 strategies were identified in the stewardship function, along with three main themes, 12 subthemes, 17 challenges, and 16 strategies in the financing function. The major challenge in the Iranian health insurance ecosystem was the complexity and conflict of interests between multiple actors with different roles, which led to fragmentation, diverse structures, and a gap between other functions and objectives, hindering the effective functioning of the ecosystem.

Conclusion
In order to deal with the challenges of the health insurance ecosystem, it is suggested to create a coherent insurance system through a single utility system, and by paying more attention to health-oriented services, the health insurance ecosystem becomes a health-oriented system instead of being treatment-oriented. In addition, in order to strengthen the governance of the country’s health insurance ecosystem, the number of actors with multiple roles should be reduced and the roles of the actors should be clarified and separated in order to prevent conflicts of interest and structural corruption in this ecosystem.
Multilocus sequence typing and phenotypic properties of Streptococcus mutans from Thai children with different caries statuses
Authors: Lapirattanakul Jinthana , Nomura Ryota , Okawa Rena , Tantivitayakul Pornpen , Kaypetch Rattiporn , Lehrkinder Anna , Lingström Peter , Birkhed Dowen , Matsumoto-Nakano Michiyo , Nakano Kazuhiko 
Published: September 2024

Abstract
Background
Streptococcus mutans is studied for its acidogenic and aciduric characteristics, notably its biofilm formation in the presence of sucrose, toward its role in the caries process. Variations in both genotype and phenotype have been reported among clinical isolates of S. mutans. This study aimed to examine genotypic and phenotypic characteristics of S. mutans obtained from Thai children with varying caries statuses.

Methods
We determined the presence of S. mutans and caries status in 395 children aged 3–4 years. From 325 children carrying S. mutans, we selected 90 with different caries statuses—caries-free (CF; n = 30), low severity of caries (LC; n = 30), or high severity of caries (HC; n = 30). Three isolates of S. mutans were taken from each child, thus, a total of 270 isolates were obtained. Multilocus sequence typing (MLST) was used to genotype the isolates and assess their clonal relationships. The properties, including biofilm formation, collagen binding, and acid production and tolerance were also evaluated.

Results
Children with carious lesions showed a higher detection rate and number of S. mutans in saliva than those without caries. S. mutans from individuals with HC status showed the lowest biofilm formation ability, while this group had the highest detection rate of collagen-binding isolates. There was no difference in acid production or tolerance by caries status. Genotyping by MLST did not reveal any clone of S. mutans specific to CF status. This result remained even when we included MLST data from the open-access PubMLST database. MLST did identify clones containing only strains from caries-affected hosts, but tests of their phenotypic properties did not reveal any differences between S. mutans from these clones and clones that were from both caries-free and caries-affected children.

Conclusions
The clonal relationships of S. mutans indicated by MLST were not associated with the status of dental caries in the host.
Analyzing innovative policies and practices for palliative care in Portugal: a qualitative study
Authors: da Silva Marcelle Miranda , Telles Audrei Castro , Baixinho Cristina Lavareda , Sá Eunice , Costa Andreia , Henriques Maria Adriana Pereira 
Published: September 2024

Abstract
Background
Countries with formal policies for palliative care, and advanced and integrated practices in this field, such as Portugal, face challenges in achieving excellence in care, particularly in home-based assistance. Issues include care coordination among providers, confusion regarding the roles of each health care professional in the network, and a lack of monitoring and evaluation of actions. Our objective was to analyze the implementation of palliative care in primary health care in Portugal.

Methods
We conducted a qualitative, descriptive, and exploratory study in Portugal involving health care professionals with experience in palliative care. The data were collected through semistructured interviews and focus groups between March and October 2023. Eighteen health care professionals participated. We used the Alceste software for lexicographic analysis. The research was authorized by an Ethics Committee.

Results
Four classes were identified; classes 1 and 2, comprising 77% of the corpus, addressed the study objectives. Participants highlighted inequitable access, strategic development plans with unattainable short-term goals; and low literacy. They emphasized the importance of legislation, professional training initiatives for generalist palliative care at home, and early referral. Home-based challenges included professionals’ lack of exclusive dedication, absence of 24/7 coverage, and unavailability of capable family caregivers. The networks’ response to hospital admissions and patient transitions from hospital to home, with access to the specialized team, was also inadequate.

Conclusions
Health care professionals aim to increase patients’ time spent at home, reduce emergency department visits, and minimize hospitalizations by leveraging the resources of the national palliative care network. In addition to investments to sustain network implementation and legally guaranteed palliative care rights, the country must focus on measurable indicators for evaluating and monitoring actions, providing better guidance in the short, medium, and long term.
Exploring the association between internet addiction and time management among undergraduate nursing students
Authors: Ali Heba Fakieh Mansy , Mousa Marwa Abd-El-Gawad , Atta Mohamed Hussein Ramadan , Morsy Shadia Ramadan 
Published: September 2024

Abstract
Background
Modern undergraduate nursing students face unique challenges as digital natives balancing internet activities with the substantial academic demands of nursing studies. Given the detrimental effects of internet addiction on students’ academic performance and well-being, having time management skills is crucial.

Aims
To assess the prevalence and levels of internet addiction and time management and their association among undergraduate nursing students.

Design
A cross-sectional, survey-based research design was used.

Setting
The Faculty of Nursing at Alexandria University in Egypt.

Subjects
A stratified random sample consisting of 825 undergraduate nursing students.

Tools
The internet addiction test and time management questionnaire were utilized to collect data.

Findings
Internet addiction was prevalent among 98.8% of students, with 56.0% exhibiting mild levels, 40.0% showing moderate levels, and 2.8% having severe levels. A statistically significant negative correlation was found between students’ internet addiction and overall time management (r= − 0.387, p < 0.001).

Conclusion
A considerable level of internet addiction was revealed among the great majority of undergraduate nursing students; however, many students also demonstrated strong time management skills. Furthermore, internet addiction and overall time management were negatively associated, indicating that students with higher levels of internet addiction tend to have poorer time management abilities.

Recommendations
Individual counseling and educational training programs should be developed to teach nursing students how to manage time and effectively plan internet usage.
Discovery of alkaline laccases from basidiomycete fungi through machine learning-based approach
Authors: Wan Xing , Shahrear Sazzad , Chew Shea Wen , Vilaplana Francisco , Mäkelä Miia R. 
Published: September 2024

Abstract
Background
Laccases can oxidize a broad spectrum of substrates, offering promising applications in various sectors, such as bioremediation, biomass fractionation in future biorefineries, and synthesis of biochemicals and biopolymers. However, laccase discovery and optimization with a desirable pH optimum remains a challenge due to the labor-intensive and time-consuming nature of the traditional laboratory methods.

Results
This study presents a machine learning (ML)-integrated approach for predicting pH optima of basidiomycete fungal laccases, utilizing a small, curated dataset against a vast metagenomic data. Comparative computational analyses unveiled the structural and pH-dependent solubility differences between acidic and neutral-alkaline laccases, helping us understand the molecular bases of enzyme pH optimum. The pH profiling of the two ML-predicted alkaline laccase candidates from the basidiomycete fungus Lepista nuda further validated our computational approach, showing the accuracy of this comprehensive method.

Conclusions
This study uncovers the efficacy of ML in the prediction of enzyme pH optimum from minimal datasets, marking a significant step towards harnessing computational tools for systematic screening of enzymes for biotechnology applications.

Graphical Abstract
Stochastic aspects of reversed aging intensity function of random quantiles
Authors: Kayid Mohamed , Alshehri Mashael A. 
Published: September 2024

AbstractThis paper studies some stochastic properties of random quantiles according to the newly defined reliability measure called reversed aging intensity function. Preservation property of reversed aging intensity order under random quantile is obtained and using it, a lower bound and an upper bound for the reversed aging intensity function of a random quantile are derived. Preservation of two related monotonic reliability classes under random quantiles is also studied. We finally apply our results for reliability analysis of series systems with heterogeneous component lifetimes. Examples are included to examine and analyze the obtained results.
The effect of CGRP and SP and the cell signaling dialogue between sensory neurons and endothelial cells
Authors: Leroux Alice , Roque Micaela , Casas Elina , Leng Jacques , Guibert Christelle , L’Azou Beatrice , Oliveira Hugo , Amédée Joëlle , Paiva dos Santos Bruno 
Published: September 2024

AbstractIncreasing evidences demonstrate the role of sensory innervation in bone metabolism, remodeling and repair, however neurovascular coupling in bone is rarely studied. Using microfluidic devices as an indirect co-culture model to mimic in vitro the physiological scenario of innervation, our group demonstrated that sensory neurons (SNs) were able to regulate the extracellular matrix remodeling by endothelial cells (ECs), in particular through sensory neuropeptides, i.e. calcitonin gene-related peptide (CGRP) and substance P (SP). Nonetheless, still little is known about the cell signaling pathways and mechanism of action in neurovascular coupling. Here, in order to characterize the communication between SNs and ECs at molecular level, we evaluated the effect of SNs and the neuropeptides CGRP and SP on ECs. We focused on different pathways known to play a role on endothelial functions: calcium signaling, p38 and Erk1/2; the control of signal propagation through Cx43; and endothelial functions through the production of nitric oxide (NO). The effect of SNs was evaluated on ECs Ca2+ influx, the expression of Cx43, endothelial nitric oxide synthase (eNOS) and nitric oxide (NO) production, p38, ERK1/2 as well as their phosphorylated forms. In addition, the role of CGRP and SP were either analyzed using respective antagonists in the co-culture model, or by adding directly on the ECs monocultures. We show that capsaicin-stimulated SNs induce increased Ca2+ influx in ECs. SNs stimulate the increase of NO production in ECs, probably involving a decrease in the inhibitory eNOS T495 phosphorylation site. The neuropeptide CGRP, produced by SNs, seems to be one of the mediators of this effect in ECs since NO production is decreased in the presence of CGRP antagonist in the co-culture of ECs and SNs, and increased when ECs are stimulated with synthetic CGRP. Taken together, our results suggest that SNs play an important role in the control of the endothelial cell functions through CGRP production and NO signaling pathway.
Simulation-based assessment of zwitterionic pendant group variations on the hemocompatibility of polyethersulfone membranes
Authors: Nazari Simin , Abdelrasoul Amira 
Published: September 2024

AbstractIn the realm of hemodialysis, Polyethersulfone (PES) membranes dominate due to their exceptional stability and mechanical properties, capturing 93% of the market. Despite their widespread usage, the hydrophobic nature of PES introduces complications in hemodialysis, potentially leading to severe adverse reactions in patients with end-stage renal disease (ESRD) through protein fouling. Addressing this issue, our study focused on enhancing hemocompatibility by modifying PES surfaces with zwitterionic materials, known for their hydrophilicity and biological membrane compatibility. We investigated the functionalization of PES membranes utilizing various zwitterions in different ratios. Utilizing molecular docking, we examined the interactions of three zwitterionic ligands—carboxybetaine methacrylate (CBMA), sulfobetaine methacrylate (SBMA), and (2-(methacryloyloxy)ethyl) phosphorylcholine (MPC)—with human serum proteins. Our analysis revealed that a 1:1 ratio of phosphobetaine and sulfobetaine exhibits the lowest affinity energy towards serum proteins, denoting an optimal hemocompatibility without the limitations associated with increased zwitterion ratios. This pivotal finding offers a new pathway for developing more efficient and safer hemodialysis membranes, promising improved care for ESRD patients.