bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesis and active manipulation of magnetic liquid beads
Authors: Yadav Ajeet Singh , Galogahi Fariba Malekpour , Vashi Aditya , Tran Du Tuan , Kijanka Gregor S. , Cha Haotian , Sreejith Kamalalayam Rajan , Nguyen Nam-Trung 
Published: May 2024

AbstractWe report the fabrication and characterisation of magnetic liquid beads with a solid magnetic shell and liquid core using microfluidic techniques. The liquid beads consist of a fluorinated oil core and a polymer shell with magnetite particles. The beads are generated in a flow-focusing polydimethylsiloxane (PDMS) device and cured by photo polymerisation. We investigated the response of the liquid beads to an external magnetic field by characterising their motion towards a permanent magnet. Magnetic sorting of liquid beads in a channel was achieved with 90% efficiency. The results show that the liquid beads can be controlled magnetically and have potential applications in digital microfluidics including nucleic acid amplification, drug delivery, cell culture, sensing, and tissue engineering. The present paper also discusses the magnetophoretic behaviour of the liquid bead by varying its mass and magnetite concentration in the shell. We also demonstrated the two-dimensional self-assembly of magnetic liquid beads for potential use in digital polymerase chain reaction and digital loop mediated isothermal amplification.
Graphical abstract
A novel approach detection for IIoT attacks via artificial intelligence
Authors: Karacayılmaz Gökçe , Artuner Harun 
Published: May 2024

AbstractThe Industrial Internet of Things (IIoT) is a paradigm that enables the integration of cyber-physical systems in critical infrastructures, such as power grids, water distribution networks, and transportation systems. IIoT devices, such as sensors, actuators, and controllers, can provide various benefits, such as performance optimization, efficiency improvement, and remote management. However, these devices also pose new security risks and challenges, as they can be targeted by malicious actors to disrupt the normal operation of the infrastructures they are connected to or to cause physical damage or harm. Therefore, it is essential to develop effective and intelligent solutions to detect and prevent attacks on IIoT devices and to ensure the security and resilience of critical infrastructures. In this paper, we present a comprehensive analysis of the types and impacts of attacks on IIoT devices based on a literature review and a data analysis of real-world incidents. We classify the attacks into four categories: denial-of-service, data manipulation, device hijacking, and physical tampering. We also discuss the potential consequences of these attacks on the safety, reliability, and availability of critical infrastructures. We then propose an expert system that can detect and prevent attacks on IIoT devices using artificial intelligence techniques, such as rule-based reasoning, anomaly detection, and reinforcement learning. We describe the architecture and implementation of our system, which consists of three main components: a data collector, a data analyzer, and a data actuator. We also present a table that summarizes the main features and capabilities of our system compared to existing solutions. We evaluate the performance and effectiveness of our system on a testbed consisting of programmable logic controllers (PLCs) and IIoT protocols, such as Modbus and MQTT. We simulate various attacks on IIoT devices and measure the accuracy, latency, and overhead of our system. Our results show that our system can successfully detect and mitigate different types of attacks on IIoT devices with high accuracy and low latency and overhead. We also demonstrate that our system can enhance the security and resilience of critical infrastructures by preventing or minimizing the impacts of attacks on IIoT devices.
Ethics in AI through the practitioner’s view: a grounded theory literature review
Authors: Pant Aastha , Hoda Rashina , Tantithamthavorn Chakkrit , Turhan Burak 
Published: May 2024

AbstractThe term ethics is widely used, explored, and debated in the context of developing Artificial Intelligence (AI) based software systems. In recent years, numerous incidents have raised the profile of ethical issues in AI development and led to public concerns about the proliferation of AI technology in our everyday lives. But what do we know about the views and experiences of those who develop these systems – the AI practitioners? We conducted a grounded theory literature review (GTLR) of 38 primary empirical studies that included AI practitioners’ views on ethics in AI and analysed them to derive five categories: practitioner awareness, perception, need, challenge, and approach. These are underpinned by multiple codes and concepts that we explain with evidence from the included studies. We present a taxonomy of ethics in AI from practitioners’ viewpoints to assist AI practitioners in identifying and understanding the different aspects of AI ethics. The taxonomy provides a landscape view of the key aspects that concern AI practitioners when it comes to ethics in AI. We also share an agenda for future research studies and recommendations for practitioners, managers, and organisations to help in their efforts to better consider and implement ethics in AI.
On the stability of norms and norm-following propensity: a cross-cultural panel study with adolescents
Authors: Kimbrough Erik O. , Krupka Erin L. , Kumar Rajnish , Murray Jennifer M. , Ramalingam Abhijit , Sánchez-Franco Sharon , Sarmiento Olga L. , Kee Frank , Hunter Ruth F. 
Published: May 2024

AbstractNorm-based accounts of social behavior in economics typically reflect tradeoffs between maximization of own consumption utility and conformity to social norms. Theories of norm-following tend to assume that there exists a single, stable, commonly known injunctive social norm for a given choice setting and that each person has a stable propensity to follow social norms. We collect panel data on 1468 participants aged 11–15 years in Belfast, Northern Ireland and Bogotá, Colombia in which we measure norms for the dictator game and norm-following propensity twice at 10 weeks apart. We test these basic assumptions and find that norm-following propensity is stable, on average, but reported norms show evidence of change. We find that individual-level variation in reported norms between people and within people across time has interpretable structure using a series of latent transition analyses (LTA) which extend latent class models to a panel setting. The best fitting model includes five latent classes corresponding to five sets of normative beliefs that can be interpreted in terms of what respondents view as “appropriate” (e.g. equality vs. generosity) and how they view deviations (e.g. deontological vs. consequentialist). We also show that a major predictor of changing latent classes over time comes from dissimilarity to others in one’s network. Our application of LTA demonstrates how researchers can engage with heterogeneity in normative perceptions by identifying latent classes of beliefs and deepening understanding of the extent to which norms are shared, stable, and can be predicted to change. Finally, we contribute to the nascent experimental literature on the economic behavior of children and adolescents.
A Simplified Method for Determining Fire Resistance of RC Columns Using Fire-Resistance-Column-Curves Approach
Authors: Mahmoud Khaled Ahmed 
Published: May 2024

AbstractEurocode-2 (EC2) empirical equation for fire resistance of RC columns is very sensitive to the value of column capacity at normal temperature conditions $$N_{Rd}$$

N

Rd

. Techniques to determine $$N_{Rd}$$

N

Rd

accurately for eccentric slender columns are difficult and computationally demanding; thus, adopting simplifications leads to unsatisfactory results in many column cases. Another shortcoming of EC2 equation is that it does not include an explicit term regarding the effect of load eccentricity on fire resistance. In this paper, a simplified method, as an attempt to overcome EC2 method defects, is developed to determine the fire resistance of RC columns using fire-resistance-column-curves. A rational numerical model is used to analyze various series of RC columns with different geometric, material, and loading properties at elevated temperatures. The results of the numerical study are utilized to construct different fire-resistance-column-curves from which simplified design equations are developed to predict the fire resistance of fixed- and pinned-end RC columns. The validity of the method is established with the aid of experimental data and it was found that in most cases, there is good agreement between assessed and test columns. It was also found that the proposed equations provide sufficiently safe predictions when appropriate material safety factors are adopted. The applicability of the proposed method to fire resistance design of RC columns is illustrated through numerical examples.
Adolescent Residential Mobility and Life Satisfaction in Emerging Adulthood
Authors: Henkens Juul H. D. , Kalmijn Matthijs , de Valk Helga A. G. 
Published: May 2024

AbstractMoving in adolescence could be a stressful experience, potentially disturbing development into adulthood. This study investigated the relationship between residential mobility in adolescence and life satisfaction in young adulthood, focusing on moving timing, frequency, and distance, using (retrospective) longitudinal German survey data (N = 2998, mean age = 20.18, 45.8% boy, 6.8% first-generation immigrant, 31.0% children of immigrants). Moving twice or more in adolescence was linked to lower life satisfaction in young adulthood, even after controlling for family background characteristics. Moving distance was unrelated to life satisfaction. Exploratory analyses showed that particularly for children of immigrants, frequent moving was related to lower life satisfaction. Since frequent moving in adolescence was more common in disadvantaged families, frequent moving could reinforce social inequalities into young adulthood.
Principal Component Analysis for Distributions Observed by Samples in Bayes Spaces
Authors: Pavlů Ivana , Machalová Jitka , Tolosana-Delgado Raimon , Hron Karel , Bachmann Kai , van den Boogaart Karl Gerald 
Published: May 2024

AbstractDistributional data have recently become increasingly important for understanding processes in the geosciences, thanks to the establishment of cost-efficient analytical instruments capable of measuring properties over large numbers of particles, grains or crystals in a sample. Functional data analysis allows the direct application of multivariate methods, such as principal component analysis, to such distributions. However, these are often observed in the form of samples, and thus incur a sampling error. This additional sampling error changes the properties of the multivariate variance and thus the number of relevant principal components and their direction. The result of the principal component analysis becomes an artifact of the sampling error and can negatively affect the subsequent data analysis. This work presents a way of estimating this sampling error and how to confront it in the context of principal component analysis, where the principal components are obtained as a linear combination of elements of a newly constructed orthogonal spline basis. The effect of the sampling error and the effectiveness of the correction is demonstrated with a series of simulations. It is shown how the interpretability and reproducibility of the principal components improve and become independent of the selection of the basis. The proposed method is then applied on a dataset of grain size distributions in a geometallurgical dataset from Thaba mine in the Bushveld complex.
Gatekeeping should be conserved in the open science era
Authors: Desmond Hugh 
Published: May 2024

AbstractThe elimination of gatekeepers for scientific publication has been represented as a means to promote the core moral values of open science, including democratic decision-making and inclusiveness. I argue that this framing ignores the reality that gatekeeping is a way of structuring prestige hierarchies, and that without gatekeeping, some other structuring would be needed: the flattening of prestige hierarchies is not possible given scientists’ need to navigate information overload. I consider two potential restructurings of prestige hierarchies, one based on citation count and the other on search algorithm rank. These are shown to simply reintroduce status biases and hierarchies in ways that either do not further the open science ideals of democracy and inclusiveness, or else involve some de facto gatekeeping. Gatekeeper elimination should not be thought of as an intrinsic part of the open science movement. In fact, insofar as gatekeeping is guided by professional ideals of impartiality and diligence, it can be thought of as an ally of open science values.
Intraoperative haemoadsorption for antithrombotic drug removal during cardiac surgery: initial report of the international safe and timely antithrombotic removal (STAR) registry
Authors: Schmoeckel Michael , Thielmann Matthias , Hassan Kambiz , Geidel Stephan , Schmitto Jan , Meyer Anna L. , Vitanova Keti , Liebold Andreas , Marczin Nandor , Bernardi Martin H. , Tandler Rene , Lindstedt Sandra , Matejic-Spasic Marijana , Wendt Daniel , Deliargyris Efthymios N. , Storey Robert F. 
Published: May 2024

AbstractIntraoperative antithrombotic drug removal by haemoadsorption is a novel strategy to reduce perioperative bleeding in patients on antithrombotic drugs undergoing cardiac surgery. The international STAR registry reports real-world clinical outcomes associated with this application. All patients underwent cardiac surgery before completing the recommended washout period. The haemoadsorption device was incorporated into the cardiopulmonary bypass (CPB) circuit. Patients on P2Y12 inhibitors comprised group 1, and patients on direct-acting oral anticoagulants (DOAC) group 2. Outcome measurements included bleeding events according to standardised definitions and 24-hour chest-tube-drainage (CTD). 165 patients were included from 8 institutions in Austria, Germany, Sweden, and the UK. Group 1 included 114 patients (62.9 ± 11.6years, 81% male) operated at a mean time of 33.2 h from the last P2Y12 inhibitor dose with a mean CPB duration of 117.1 ± 62.0 min. Group 2 included 51 patients (68.4 ± 9.4years, 53% male), operated at a mean time of 44.6 h after the last DOAC dose, with a CPB duration of 128.6 ± 48.4 min. In Group 1, 15 patients experienced a BARC-4 bleeding event (13%), including 3 reoperations (2.6%). The mean 24-hour CTD was 651 ± 407mL. In Group 2, 8 patients experienced a BARC-4 bleeding event (16%) including 4 reoperations (7.8%). The mean CTD was 675 ± 363mL. This initial report of the ongoing STAR registry shows that the intraoperative use of a haemoadsorption device is simple and safe, and may potentially mitigate the expected high bleeding risk of patients on antithrombotic drugs undergoing cardiac surgery before completion of the recommended washout period.Clinical registration number: ClinicalTrials.gov identifier: NCT05077124.
Graphical Abstract
Voice Behaviours within Cooperatives. The Importance of the Relational Aspects of Leadership and Integrative Mechanisms for Loyalty
Authors: Mori Martina , Cavaliere Vincenzo 
Published: May 2024

AbstractThis study explores the dynamics of cooperatives, with a focus on the internal challenges associated with sustaining democratic governance and promoting active member participation. The emphasis is on individual-level participation within the workplace, an often-neglected aspect in cooperative literature. An empirical model examines how member loyalty influences constructive and destructive voice behaviours. Leader–member exchange (LMX) relationship and integrative mechanisms are the proposed mediators in this context. Analysing data from 301 members of 19 worker cooperatives in Italy revealed different mediating effects through LMX, integrative mechanisms and a combined sequence. These findings enrich the cooperative literature by highlighting the importance of loyalty and voice behaviours in regenerating cooperative principles and member participation. The study also underscores the role of interpersonal relationships in affecting operational processes and explaining members’ loyalty and participation dynamics, proposing suggestions for cooperative management upholding democratic governance rooted in trust-based relationships, organic organisational models and mutual values.
Environmental and Food Contamination by Phthalic Acid Esters (PAEs): Overview
Authors: Sokołowski Artur , Kończak Magdalena , Oleszczuk Patryk , Gao Yanzheng , Czech Bożena 
Published: May 2024

AbstractPhthalic acid esters (PAEs) are dialkyl or alkyl/aryl ester derivatives of phthalic acid. PAEs are colorless, odorless, and flavorless oily liquids. PAEs are the main plasticizers used in industry and households. DEHP (di-(2-ethyl hexyl) phthalate) is the main plasticizer used in the polymer industry, whereas DMP (dimethyl phthalate) and DEP (diethyl phthalate) are used mainly as solvents or fixatives in cosmetics and personal care products. PAEs are synthetic organic compounds poorly soluble in water but soluble in organic solvents. Into the environment, they are introduced during the production, use and degradation, packaging, and transportation of plastic products. In the environment, PAEs are degraded in three ways: by hydrolysis, photodegradation, and microbial degradation, whereas the biodegradation and hydrolysis of PAEs in the environment are very slow. PAEs are pollutants of soil, water, groundwater, river water, marine water, air, sediments, vegetables, and biota. Due to the great interest in the subject of environmental pollution by PAEs and the emergence of new information in this area, it is extremely important to systematically review the current knowledge. In the presented paper, the occurrence of PAEs in different environmental matrices was reviewed. The toxicity to plants, animals, and humans was also described.
Venture capital internationalization in China and the Uppsala model
Authors: Hudson, Paul L. , Richardson James 
Published: May 2024

AbstractWe study the investment behavior of new domestic Chinese venture capital (VC) firms compared to foreign VC firms newly entering the Chinese market. Given the institutional and cultural differences or psychic distance between China and the home country of foreign VC’s, the Uppsala Model would predict that foreign VC’s will be more cautious initially than domestic Chinese VC’s and that the degree of caution will increase with the psychic distance. Our data comes primarily from Zero2IPO, which has a nearly exhaustive list of VC investments in China from 1996 to 2006. We also use country-of-origin, membership in GLOBE cultural clusters, and a broad measure of psychic distance based on institutional and cultural differences from Berry, Guillén, & Zhou (2010) and the Freedom Index to test this prediction. We find support for the hypothesis that psychic distance affects initial investment behavior.
Classification of Documented Goals of Care Among Hospitalized Patients with High Mortality Risk: a Mixed-Methods Feasibility Study
Authors: Auriemma Catherine L. , Song Anne , Walsh Lake , Han Jason J. , Yapalater Sophia R. , Bain Alexander , Haines Lindsay , Scott Stefania , Whitman Casey , Taylor Stephanie P. , Halpern Scott D. , Courtright Katherine R. 
Published: May 2024

Abstract
Background
The ability to classify patients’ goals of care (GOC) from clinical documentation would facilitate serious illness communication quality improvement efforts and pragmatic measurement of goal-concordant care. Feasibility of this approach remains unknown.

Objective
To evaluate the feasibility of classifying patients’ GOC from clinical documentation in the electronic health record (EHR), describe the frequency and patterns of changes in patients’ goals over time, and identify barriers to reliable goal classification.

Design
Retrospective, mixed-methods chart review study.

Participants
Adults with high (50–74%) and very high (≥ 75%) 6-month mortality risk admitted to three urban hospitals.

Main Measures
Two physician coders independently reviewed EHR notes from 6 months before through 6 months after admission to identify documented GOC discussions and classify GOC. GOC were classified into one of four prespecified categories: (1) comfort-focused, (2) maintain or improve function, (3) life extension, or (4) unclear. Coder interrater reliability was assessed using kappa statistics. Barriers to classifying GOC were assessed using qualitative content analysis.

Key Results
Among 85 of 109 (78%) patients, 338 GOC discussions were documented. Inter-rater reliability was substantial (75% interrater agreement; Cohen’s kappa = 0.67; 95% CI, 0.60–0.73). Patients’ initial documented goal was most frequently “life extension” (N = 37, 44%), followed by “maintain or improve function” (N = 28, 33%), “unclear” (N = 17, 20%), and “comfort-focused” (N = 3, 4%). Among the 66 patients whose goals’ classification changed over time, most changed to “comfort-focused” goals (N = 49, 74%). Primary reasons for unclear goals were the observation of concurrently held or conditional goals, patient and family uncertainty, and limited documentation.

Conclusions
Clinical notes in the EHR can be used to reliably classify patients’ GOC into discrete, clinically germane categories. This work motivates future research to use natural language models to promote scalability of the approach in clinical care and serious illness research.