bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Electrochemical Immuno-cytosensor Modified with Nanofibers for the Determination of a Carcinoembryonic Antigen
Authors: Yildizbakan Zehra , Altuntaş Derya Bal , Nalkiran Hatice Sevim , Aslan Sema , Mamuk Atilla Eren , Koçak Çağdaş , Kurt Şeymanur , Nalkiran İhsan , Yener Çiğdem , Ünlü C. Gökhan 
Published: July 2024

AbstractIn this study, La0.25Fe0.75FeO3 (PNp)perovskite nanoparticle was synthesized using the sol–gel method. PNp-coated polyacrylonitrile (PAN) nanofibers were prepared by electrospinning on the pencil graphite electrode (PGE) surface. In another step, carcinoembryonic antigen (CEA) was loaded with CEA antibodies (Anti-CEA) as a biomarker receptor. Finally, PGE/PAN@PNp/Anti-CEA was used for CEA detection. Optimization steps and cell culture steps were performed using differential pulse voltammetry (DPV). The use of this composite system is a novel immunosensor development approach for label-free detection of CEA. Under optimum conditions, detection limit (LOD) of PGE/PAN@PNp/Anti-CEA immunosensor LOD 1.48 ng/mL, limit of quantification (LOQ) = 4.94 ng/mL, reproducibility 1.46% (n = 5) and R2 = 0.9984 for antigen concentration within a linear working range of 0.1–10 ng/mL. Also, immunosensor recovery in real serum samples containing dopamine and ascorbic acid was found as 98.94 ± 7.43. It has great potential in clinical screening of different cancer biomarkers. The number of cells attached to the PGE/PAN@PNp/Anti-CEA/BSA(bovine serum)/CEA surface decreased in RT-4(bladder cancer), MDA-MB-231 (triple-negative breast adenocarcinoma cell line), and T98G cells (glioblastoma multiforme cell line), which are known as CEA-negative cell lines, whereas the number of MCF-7 cells (estrogen-sensitive human breast cancer cell line, known to be CEA positive) attached to the PGE/PAN@PNp/Anti-CEA/BSA/CEA surface increased, indicating higher affinity to the immunosensor surface. As a result, while MCF-7, which is CEA positive, can be determined best when using an immune-cytosensor, the cell that can be best determined with cytosensors was found to be RT-4.
Implementation of a toolbox for the generation of flight profiles for use in simulator studies
Authors: Schiller Alexander 
Published: July 2024

AbstractMotion sickness is a phenomenon which can produce various symptoms in affected individuals. During development of new aircraft types and cabin layouts, it is important to consider this phenomenon early on, to reduce resulting effects. For research on this topic, German Aerospace Center uses the simulator environment Air Vehicle Simulator together with the Advanced Future Cabin. The Air Vehicle Simulator is a full flight simulator with an interchangeable cockpit module. One of those modules is the Advanced Future Cabin, a realistic replica of an aircraft cabin. Good standardization of the test conditions is required to ensure objectivity and reliability of motion sickness studies in this simulator environment. A specialized software infrastructure is used to replay pre-recorded flight profiles, which are then reproduced by the simulator’s motion, visual and audio systems. Using this replay approach, complete flight profiles can be reproduced very well. However, when parts of the flight profile need exact reproduction within a flight profile or across multiple flight profiles, the approach to record pilot-in-the-loop simulation sessions becomes problematic, as flying the exact same twice is almost impossible. As an improved approach, a toolbox has been implemented, which automates the generation of flight profiles, enabling easier and more precise research on motion sickness in the simulator. The toolbox replaces the pilot-in-the-loop simulation with an automated control of the underlying aircraft simulation model. This leads to greatly improved accuracy of inputs to the simulation model and thus very good reproducibility even of flight profile segments. In this manuscript, details of the toolbox implementation and its validation are discussed.
MSM Fiber Optic Surface Plasmon Resonance Glucose Sensor Based on SnO2 Nanofibers/Au Structure
Authors: Song Hongyu , Wu Haoyu , Xu Yanpei , Ma Shaowei , Sun Meng , Wang Qi 
Published: July 2024

AbstractGlucose is an indispensable nutrient for metabolism in living organisms and is widely used in food, industry, and medical fields. Glucose is often added as a sweetener in food and often used in industry as a reducing agent for various products. In medical treatment, glucose is added to many drugs as a nutritional additive, and it is also an indicator that diabetics need to pay attention to at all time. Therefore, the market has a great demand for low-cost, high-sensitivity, fast, and convenient glucose sensors, and the industry has always attached great importance to the work of creating new glucose sensor devices. Therefore, we proposed a SnO2 nanofibers/Au structure multimode-single-mode-multimode (MSM) fiber surface plasmon resonance (SPR) glucose sensor. SnO2 nanofibers were fixed to a single-mode fiber core that had been plated with the Au film by electrospinning. When the glucose concentration increased at 5 vol% intervals, the corresponding resonance wavelengths had different degrees of redshifts. Comparing the two structures, as the glucose concentration range increased from 0 vol% to 60 vol%, the sensitivity increased from 228.7 nm/vol% in the Au structure to 337.3 nm/vol% in the SnO2 nanofiber/Au structure. At the same time, the linear correlation between the resonant wavelength and the refractive index of the two structures was greater than 0.98. Moreover, the SnO2 nanofibers/Au structure significantly improved the practical application performance of SPR sensors.
Competitive grants in autonomous public schools: how school principals are labouring for public school funding
Authors: Rowe Emma , Langman Sarah 
Published: July 2024

AbstractThis paper examines competitive grants for public schools, as a form of additional funding from the government. We draw on interviews with principals from different states in Australia to examine systemic impacts of competitive grants for public schools, exploring this in relation to school autonomy. Public school principals are labouring to generate additional school funding via competitive applications from the traditional state government, to supplement their core or regular government funding. The competitive applications are to fund what many would consider rudimentary or fundamental resources, such as school infrastructure and student wellbeing programs. For the interviewed principals, the drive to generate more funding was anchored within significant government funding shortfalls in public schools. The majority of interviewees did not find the funding model to be ‘needs-based’ or responsive. Autonomous public schools presented many paradoxes and contradictions, particularly in under-funded contexts; whilst on one hand, principals are tasked with managing their budgets, the majority experienced the environment as highly inflexible and often punitive, laden with bureaucratic red tape. The majority of interviewees expressed notions of responsibilisation for generating additional funds. In this context, we found that competitive funding applications increase school principal work intensification, with principals spending excessive time labouring to generate additional funding via competitive grant applications, in order to fund essential school projects. The labour involved in completing time-demanding funding applications supplants their traditional responsibilities and is critically reshaping their role as a school principal, to one of ‘grant applier’ and fundraiser, reinforcing the retreat of the traditional state.
Coastal fisheries and community-based support systems in post disaster contexts
Authors: Obregón Clara , Sokach Ada , Neihapi Pita , Arudere Ajay , Joy Lucy , Ephraim Regina , Ham Jayven , Koran Douglas , Malverus Vasemaca , Sami Abel , Gereva Sompert , Steenbergen Dirk J. 
Published: July 2024

AbstractPacific Island Countries and Territories are highly exposed to natural disasters, intensified by increases in frequency and force of extreme weather events. Pacific societies, like in Vanuatu, have been shaped in many ways by such natural disasters; reflected in customary practices and social fabric of rural coastal communities. When a natural disaster occurs, government attention justifiably focuses on channelling and coordinating international humanitarian aid to fill gaps in capacity and resourcing national recovery efforts. However, central to disaster recovery, particularly in the immediate aftermath of disruption, are the ways that local people support each other (within and between communities). Disconnects between national and local recovery efforts are common and stand to inhibit effective responses. This study aims to understand horizontal, self-organised community-to-community support systems and communities’ post-disaster engagement with external aid. It draws from two different datasets: i) the observations collected through the emergency relief work led by the National Disaster Management Office in Vanuatu shortly after the 2023 twin tropical cyclones Judy and Kevin hit the country, as well as ii) the loss and damage survey led by the Vanuatu Fisheries Department to estimate the level of damage these cyclones caused in various regions of Vanuatu. Through this process, we highlight the social systems that enable community-to-community support, as well as potential opportunities for external-aid to support communities in a more efficient manner. Results reveal that community-to-community support is critical in the first weeks post-disaster. Recognizing the roles that different support networks play at different stages of disaster response is critical not only to improving people's and institutions' ability to bounce back from particular disruptions, but also in broader efforts to strengthen community resilience in the face of climate change.
The Impact of the Psychiatry Medical Student Scholars Program
Authors: Kwok Wan Y. , Moftakhor Niki , Johnston Peirce , Evans Brian , DelBello Melissa 
Published: July 2024

Abstract
Objective
Providing medical students with psychiatry research opportunities early in their careers may contribute to fostering career interests and increasing research literacy and interest. In this report, the authors describe the Psychiatry Medical Student Scholars Program (MSSP) at the University of Cincinnati College of Medicine and the results from a survey of its impact on student career outcomes over 9 years.

Methods
All MSSP participants were invited to complete an online survey via SurveyMonkey to assess the impact of the program on their interest in psychiatry and research.

Results
The MSSP began in 2012 with one student. There have been 47 MSSP participants from 2012 to 2021. Rapid growth of the MSSP was seen with class sizes ranging from 1 to 11. At the time of survey, nineteen MSSP alumni graduated medical school and 28 were still in medical school. Sixty-six percent of eligible participants responded, with a 53% response rate for medical school alumni and a 75% response rate for current medical students. Nine out of nineteen (47%) MSSP students who had graduated from medical school selected a career in psychiatry. Eighty-four percent of participants had presented or published their research. Sixty-eight percent of participants reported that the program has been valuable in deciding their future specialty.

Conclusions
Participants tended to credit exposure to psychiatric research as medical students with fostering interest in the field and aiding in their career decisions. The components of the program described can be replicated at other institutions to increase exposure to psychiatric research.
Vijay Madanlal Choudhary v Union of India: A systematic breakdown of protections against testimonial compulsion during criminal investigations
Authors: Chaudhary Shraddha , Kale Shreedhar 
Published: July 2024

AbstractThe judgment of the Supreme Court of India in Vijay Madanlal v Union of India follows a long history of judicial exceptionalism in dealing with ‘economic offences’, and in doing so, further dilutes the safeguards that apply to ordinary criminal investigations under the Constitution of India 1950, the Code of Criminal Procedure 1973, and the Indian Evidence Act 1872. This article argues that the distinctions between ‘investigation’ and ‘inquiry’, and between the police and the Enforcement Directorate, in the Prevention of Money Laundering Act 2002, are specious and unjustified. It problematises the question, ‘Who is a police officer?’ as misleading, critiques the Court’s conclusions regarding the powers and immunities of the Enforcement Directorate, and argues that the Court’s judgment leads to a systematic breakdown of the protections against testimonial compulsion available during ordinary criminal investigations when it comes to offences under the Prevention of Money Laundering Act 2002.
Post-Newtonian theory for gravitational waves
Authors: Blanchet Luc 
Published: July 2024

AbstractTo be observed and analyzed by the network of current gravitational-wave detectors (LIGO, Virgo, KAGRA), and in anticipation of future third generation ground-based (Einstein Telescope, Cosmic Explorer) and space-borne (LISA) detectors, inspiralling compact binaries—binary star systems composed of neutron stars and/or black holes in their late stage of evolution prior the final coalescence—require high-accuracy predictions from general relativity. The orbital dynamics and emitted gravitational waves of these very relativistic systems can be accurately modelled using state-of-the-art post-Newtonian theory. In this article we review the multipolar-post-Minkowskian approximation scheme, merged to the standard post-Newtonian expansion into a single formalism valid for general isolated matter system. This cocktail of approximation methods (called MPM-PN) has been successfully applied to compact binary systems, producing equations of motion up to the fourth-post-Newtonian (4PN) level, and gravitational waveform and flux to 4.5PN order beyond the Einstein quadrupole formula. We describe the dimensional regularization at work in such high post-Newtonian calculations, for curing both ultra-violet and infra-red divergences. Several landmark results are detailed: the definition of multipole moments, the gravitational radiation reaction, the conservative dynamics of circular orbits, the first law of compact binary mechanics, and the non-linear effects in the gravitational-wave propagation (tails, iterated tails and non-linear memory). We also discuss the case of compact binaries moving on eccentric orbits, and the effects of spins (both spin-orbit and spin–spin) on the equations of motion and gravitational-wave energy flux and waveform.
Raw Materials and Lithic Production During the Early Magdalenian in Cantabrian Spain: Cova Rosa (Ribadesella, Asturias)
Authors: Martín-Jarque Sergio , Vadillo Conesa Margarita , Tarriño Antonio , Herrero-Alonso Diego , Aura Tortosa J. Emili , Jordá Pardo Jesús F. , Álvarez-Fernández Esteban 
Published: July 2024

Abstract
The lithic assemblage studied here comes from Cova Rosa, one of the main Upper Palaeolithic sites in Asturias (northern Spain). The remains were found in Layer B5, which was excavated by F. Jordá Cerdá and A. Gómez Fuentes in 1978 and are associated with an osseous assemblage and archaeozoological remains. This occupation has been dated by radiocarbon to about 16,400 BP (ca. 19.8–19.6 ka cal BP), corresponding to Archaic/Lower Magdalenian. The present study combines the determination of the raw materials and the identification of the production systems to achieve an understanding of the management of lithic resources by hunter-gatherer groups in the Late Pleistocene. The sourcing of mostly local materials (mainly Piloña flint), the wide variety of rock types of diverse provenances (up to 10 types), and the presence of well-represented lithological tracers (Flysch, Chalosse) turn Cova Rosa into an important case for studying different lithic raw material procurement models. The predominance of microlaminar production and the variability in the exploitation strategies used to obtain backed tools, as well as the poor standardisation of flake production, follow the dynamics observed in other occupations of similar chronology in a wide geographical area that includes Cantabrian Spain and south-west France.
Evaluating the Buffering Role of Perceived Social Support and Coping Resources Against the Adult Mental Health Impacts of COVID-19 Psychosocial Stress: A Cross-Sectional Study in South Africa
Authors: Kim Andrew Wooyoung , Swana Someleze , Sarma Mallika S. 
Published: July 2024

Abstract
Growing evidence has highlighted the global mental health impacts of the COVID-19 pandemic and lockdown, particularly in societies with pre-existing socioeconomic adversities and public health concerns. Despite the sudden and prolonged nature of many psychosocial stressors during the pandemic, recent studies have shown that communities utilized several coping mechanisms to buffer the mental health consequences of COVID-related stress. This paper examines the extent to which coping resources and social support buffered against the mental health effects of COVID-19 psychosocial stress among adults in South Africa. Adult participants (n = 117) completed an online survey during the second and third waves of the COVID-19 pandemic in South Africa (January–July 2021), which assessed experiences of stress, coping resources, social support, and four mental health outcomes: depression, anxiety, post-traumatic stress disorder, and bipolar disorder. Moderation analyses examined the potential buffering role of coping resources and social support against the mental health effects of COVID-19 stress. Adults reported elevated rates of psychiatric symptoms. Coping resources buffered against the poor mental health effects of COVID-19 psychosocial stress, whereas perceived social support did not significantly moderate the association between COVID-19 stress and adult mental health. These results suggest that adults in our sample utilized a variety of coping resources to protect their mental health against psychosocial stress experienced during the COVID-19 lockdown and pandemic in South Africa. Additionally, existing mental health conditions and strained social relationships may have attenuated the potential stress-buffering effect of perceived social support on adult mental health.
The role of agroforestry in solving the agricultural landscapes vulnerabilities in the Po Plain district
Authors: Vagge Ilda , Sgalippa Nicolò , Chiaffarelli Gemma 
Published: July 2024

AbstractThe current trend of biodiversity deterioration in rural systems is a complex issue that operates across multiple spatial scales. Agroforestry practices have the potential to positively contribute towards addressing these trends by shaping the structure of agricultural landscapes and their underlying ecological functions. This study aims to test a multi-scale analytical approach to understand and account for these processes. Specifically, the study seeks to assess the contributions that agroforestry practices at the farm scale can make towards supporting biodiversity, in response to the wider-scale landscape eco-mosaic structural and functional challenges and requirements (both at the local and extra-local landscape systems). To achieve this, a series of landscape ecology analyses are conducted on an agroforestry-based rice farm located in the western Po Plain region of Northern Italy. These analyses examine various landscape structural traits (such as matrix composition, patch size, shape complexity, and diversity indices) and functional traits (including connectivity and bionomic indices), with different levels of detail for each scale of analysis. This allows for the evaluation of the current ecological status of both the extra-local and local scale landscape systems (including drivers of vulnerability and resilience) and the assessment of the farm's current contributions to biodiversity support. Based on these findings, strategic agroforestry interventions are identified at the farm scale to enhance its capacity to address the wider-scale ecological gaps. Two design scenarios are assessed, wherein functional ecological traits such as landscape diversity, connectivity, and ecological stability are improved. The results confirm the role of farm scale agroforestry management as a buffering tool, demonstrating how it contributes to the restoration of broader-scale landscape vulnerabilities. The applied approach provides cost-effective assessments of biodiversity-related ecological processes, with the accuracy of the findings dependent on the comprehensive multi-scale analysis conducted.
Designing an Intelligent Contract with Communications and Risk Data
Authors: Stathis Georgios , Trantas Athanasios , Biagioni Giulia , Graaf Klaas Andries de , Adriaanse Jan , Herik Jaap van den 
Published: July 2024

AbstractContract automation is a challenging topic within Artificial Intelligence and LegalTech. From digitised contracts via smart contracts, we are heading towards Intelligent Contracts (iContracts). We will address the main challenge of iContracts: the handling of communications and risk data in contract automation. Our Research Question reads: to what extent is it possible to develop an ontology that automates contracts with communications and risk data? The article designs and conceptualises an iContract ontology. Our findings validate the conceptual expressiveness of our ontology. A brief discussion highlights the value of the ontology design and its application domains. From the results, we may conclude that the current method is innovative and that further research is necessary for handling more complex use cases.
Does industry 4.0 and environmental quality asymmetrically affect South Africa’s manufacturing sector? A fresh insight from nonlinear autoregressive distributed lag (NARDL) model
Authors: Ngepah Nicholas , Saba Charles Shaaba , Kajewole David Oluwaseun 
Published: July 2024

AbstractOwing to recent developments and implications inspired by fourth industrial revolution (4IR) technologies in the global manufacturing sector through the Industry 4.0 (I4.0) concept, this study was conducted to discover the impacts of I4.0 and environmental quality on the South African manufacturing sector, considering governance quality. To the best of our knowledge, no study has analysed the long-run and short impacts of I4.0, environmental quality and governance quality on the South African manufacturing sector integrating the bound test cointegration, Fully-Modified Ordinary Least Squares (FMOLS) & Dynamic Ordinary Least Squares (DOLS) and nonlinear autoregressive distributed lag (NARDL) estimations techniques. Therefore, this study attempts to bridge this gap using different econometric approaches. The data used spans from 2000Q1 to 2020Q4. The principal component analysis was used to create Industry 4.0 (I4.0) and governance quality components. In this study, utilising the dynamic NARDL, it is seen that the LCO2, representing environmental quality, possesses positive and significant relationship with the LMVA, but when in interaction with the governance quality variables (GOV, INS, POL & ECO), there exists a positive and insignificant relationship with the LMVA showing there exists a dearth of green innovative technologies in the South Africa manufacturing sector respective of its significance. Utilising the FMOLS and DOLS, the GOV, INS, POL & ECO which represents governance quality, mostly possesses negative but significant relationships with the LMVA, even when in interaction with the I4.0 variable proving the I4.0 technologies have not yet started to be impactful to the South African manufacturing industry at large.