bluuebunny/crossref_metadata_2025 huggingface dataset:
Strategies for surveying platform workers: lessons from a Belgian case study
Authors: Gevaert J. , Doms J. , Vandevenne E. , Van Aerden K.
Published: July 2024

Job quality among platform workers has been high on labour market researchers’ agendas. Nevertheless, many report difficulties in collecting data for this group of workers. Platform workers meet many of the criteria of hard-to-survey populations. The aim of this paper is to evaluate whether purposive, non-probability sampling can provide a good strategy for collecting information on the job quality of platform workers through an internet survey (SEAD Platform Survey). The study on which this paper is based, employed different strategies by dividing platform workers into categories based on type of activity. Sampling techniques were adapted to each category and included referral, social media advertisements, (virtual) convenience sampling and a web panel. Despite the cost and labor intensity of these non-probability sampling techniques, a sizeable sample (N = 490) of platform workers was collected. Moreover, the SEAD Platform Survey showed very similar characteristics to previous probability samples within the study population (LFS Module platform work, COLLEEM II, and the ETUI IPWS). Researchers focusing on (other) hard-to-survey (worker) populations can learn from this endeavor, showing that when there is little to no opportunity for probability sampling, purposive, non-probability sampling techniques can offer a good alternative to reach a rich, statistical resource.
A localist solution to the problem of mixed inferences by juxtaposition
Authors: Benito-Monsalvo Carlos , Martínez-Fernández José
Published: July 2024

Logical localism is a thesis within philosophy of logic according to which the correct logic is dependent on the topic, domain or subject matter of its application. There is a very straightforward problem for anyone defending a localist thesis, a problem that follows from the fact that we reason across domains. This challenge is known as the problem of mixed inferences. The problem is, very roughly, the following: suppose that there are at least two components, within the premises or conclusion of an argument, belonging to domains governed by different logics. Then, which is the criterion of validity for the mixed argument? Our aim is to offer an answer to this question and, more concretely, a way out to the dilemma that Chase Wrenn has raised in his analysis of the problem of mixed inferences. We will use Joshua Schechter’s method of combining logics, juxtaposition, as the criterion of validity for mixed inferences. After exploring its virtues and possible shortcomings, we argue that juxtaposition is a first step towards a fully-fledged solution, but already a promising way out of the dilemma posed by Wrenn.
Dehydration of Tetrahydrofurfuryl Alcohol Into Dihydropyran on γ-Al2O3 Catalyst: Reaction Monitoring by In Situ DRIFT Spectroscopy
Authors: Pulido J. A. , Vila F. , Alonso D. Martin , Granados M. López , Mariscal R.
Published: July 2024

In this study, in situ diffuse reflectance infrared Fourier transform (DRIFT) spectroscopy was used to analyze the surface reactivity during the dehydration of tetrahydrofurfuryl alcohol (THFA) to 3,4-dihydro-2H-pyran (DHP). The dehydration reaction of THFA is carried out in the gas phase at 648 K using activated γ-Al2O3 as catalyst. Under these conditions, a yield of 84% DHP is obtained in a fixed-bed reactor and the catalyst shows no signs of deactivation after 70 h. The information obtained with DRIFT in situ spectroscopy depends on the reaction conditions, with the concentration of THFA in the gas phase being a critical variable. The temperature and time on stream have also been studied. This technique has allowed to identify DHP, the product of interest, two products with carbonyl group (C = O) formed in the surface of the catalyst during the reaction, and also the formation of carboxylates from the reaction of surface species with the oxygens of the oxide catalyst. This is of considerable significance, as an understanding of the molecular processes occurring at the surface during the reaction would permit the rational design of catalysts to enhance their catalytic properties. Therefore, in situ DRIFT spectroscopy is a valuable tool for studying active catalysts in the THFA dehydration reaction.
Effectiveness and safety of finerenone in Chinese CKD patients without diabetes: a retrospective, real-world study
Authors: Zhou Li , Li Wenge
Published: July 2024

Background

Finerenone, a non-steroidal mineralocorticoid receptor antagonist, has previously demonstrated its efficacy and safety in chronic kidney disease (CKD) associated with diabetes mellitus. Given its therapeutic potential, finerenone has been preliminarily explored in clinical practice for non-diabetic CKD patients. The effectiveness and safety in this population require further investigation in a real-world setting.

Methods

This retrospective, real-world analysis included non-diabetic CKD patients receiving finerenone. The main clinical outcomes assessed were changes in urinary albumin-to-creatinine ratio (UACR) and estimated glomerular filtration rate (eGFR). Serum potassium (sK+) levels were also monitored. Data were collected at baseline, and then at 1 month and 3 months following treatment initiation.

Results

Totally, 16 patients were included. There was a notable decrease in UACR from 1-month post-treatment, with a further reduction at 3 months, resulting in a median reduction of 200.41 mg/g (IQR, 84.04–1057.10 mg/g; P = 0.028; percent change, 44.52% [IQR, 31.79–65.42%]). The average eGFR at baseline was 80.16 ml/min/1.73m2, with no significant change after 1 month (80.72 ml/min/1.73m2, P = 0.594) and a slight numerical increase to 83.45 ml/min/1.73m2 (P = 0.484) after 3 months. During the 3-month follow-up, sK+ levels showed only minor fluctuations, with no significant differences compared to baseline, and remained within the normal range throughout the treatment period. No treatment discontinuation or hospitalization due to hyperkalemia was observed.

Conclusion

In non-diabetic CKD patients, finerenone showed good effectiveness and safety within a 3-month follow-up period. This study provides valuable real-world evidence supporting the use of finerenone in non-diabetic CKD and highlights the need for future large-scale prospective research to further validate its efficacy.
Antecedents and consequences of intellectual capital: a systematic review, integrated framework, and agenda for future research
Authors: Abdallah Amr S. , Amin Hala , Abdelghany Mohammed , Elamer Ahmed A.
Published: July 2024

This study systematically reviews the fragmented field of Intellectual Capital (IC) to clarify its antecedents and outcomes. Using a hybrid method that combines bibliometric analysis and a framework-based approach, it examines 170 peer-reviewed articles, focusing on key articles, authors, countries, journals, and themes in IC research. The study introduces a comprehensive framework, summarizing the core elements of IC and providing a foundation for future theoretical, empirical, and conceptual research. Six main clusters were identified through co-citation analysis: three related to IC antecedents, particularly board gender diversity, and three concerning IC consequences, notably firm performance. This research maps out existing gaps in the literature and suggests integrated pathways for advancing IC knowledge. It contributes significantly to IC studies by synthesizing a vast array of literature into an integrated framework, offering new insights that both challenge and complement existing narratives. This framework not only elucidates IC's foundational aspects but also sets a strategic direction for future investigations. The findings underscore the evolving nature of IC research and highlight crucial antecedents and consequences. The study bridges academic research with practical applications, emphasizing IC's role in boosting firm competitiveness and value creation. While recognizing its methodological limitations, the study calls for a diversified perspective in future IC research, aiming to deepen the understanding of IC.
Exploring long-term retention and reactivation of micropollutant biodegradation capacity
Authors: Branco Rita H. R. , Meulepas Roel J. W. , Rijnaarts Huub H. M. , Sutton Nora B.
Published: July 2024

The factors limiting micropollutant biodegradation in the environment and how to stimulate this process have often been investigated. However, little information is available on the capacity of microbial communities to retain micropollutant biodegradation capacity in the absence of micropollutants or to reactivate micropollutant biodegradation in systems with fluctuating micropollutant concentrations. This study investigated how a period of 2 months without the addition of micropollutants and other organic carbon affected micropollutant biodegradation by a micropollutant-degrading microbial community. Stimulation of micropollutant biodegradation was performed by adding different types of dissolved organic carbon (DOC)—extracted from natural sources and acetate—increasing 10 × the micropollutant concentration, and inoculating with activated sludge. The results show that the capacity to biodegrade 3 micropollutants was permanently lost. However, the biodegradation activity of 2,4-D, antipyrine, chloridazon, and its metabolites restarted when these micropollutants were re-added to the community. Threshold concentrations similar to those obtained before the period of no substrate addition were achieved, but biodegradation rates were lower for some compounds. Through the addition of high acetate concentrations (108 mg-C/L), gabapentin biodegradation activity was regained, but 2,4-D biodegradation capacity was lost. An increase of bentazon concentration from 50 to 500 µg/L was necessary for biodegradation to be reactivated. These results provide initial insights into the longevity of micropollutant biodegradation capacity in the absence of the substance and strategies for reactivating micropollutant biodegrading communities.

Graphical abstract
The effects of observing punishment on consumers’ decisions to punish other companies during industry-wide crises
Authors: Chen Shijiao , Li Yi , Yao Jun
Published: July 2024

Industry-wide crises, characterized by multiple companies within an industry allegedly engaging in similar misconduct, lead to disruptions in the social order. During such crises, one or a few of the involved companies often attract more media attention and receive punishment ahead of the others. Will such punishments take the heat off other involved companies or increase their risk of further punishment? This research shows that the observation of these punishments increases consumers’ intent to punish other involved companies. Observing one involved company get punished signals that the involved companies are indeed at fault, thereby increasing consumers’ certainty in blame attribution. Subsequently, consumers increase their motive to restore social order and their intent to punish other involved companies. Four theoretically and managerially relevant moderators have been identified and tested. Seven studies involving secondary data and experiments with both hypothetical and real behavioral outcomes support the proposed effects.
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

In 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

Motion 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

Glucose 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

This 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

Pacific 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

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

The 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

To 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

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

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

The 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

Contract 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

Owing 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.
A transition from enemies to allies: how viruses improve drought resilience in plants
Authors: Prakash Ved , Sharma Veerendra , Devendran Ragunathan , Prajapati Ramgopal , Ahmad Bilal , Kumar Ritesh
Published: July 2024

Global crop production is severely affected by environmental factors such as drought, salinity, cold, flood etc. Among these stresses, drought is one of the major abiotic stresses reducing crop productivity. It is expected that drought conditions will further increase because of the increasing global temperature. In general, viruses are seen as a pathogen affecting the crop productivity. However, several researches are showing that viruses can induce drought tolerance in plants. This review explores the mechanisms underlying the interplay between viral infections and the drought response mechanisms in plants. We tried to address the molecular pathways and physiological changes induced by viruses that confer drought tolerance, including alterations in hormone signaling, antioxidant defenses, scavenging the reactive oxygen species, role of RNA silencing and miRNA pathway, change in the expression of several genes including heat shock proteins, cellulose synthase etc. Furthermore, we discuss various viruses implicated in providing drought tolerance and examine the range of plant species exhibiting this phenomenon. By applying current knowledge and identifying gaps in understanding, this review aims to provide valuable insights into the complex dynamics of virus-induced drought tolerance in plants, paving the way for future research directions and practical applications in sustainable agriculture.
MyBioethics: How Ed-Tech Enables Discovery-Driven Empirical Bioethics Research
Authors: Janhonen Joel , Värttö Mikko , Saxén Heikki
Published: July 2024

Digital tools have granted new opportunities to engage people with bioethical discussion and rehearsed decision-making. The ongoing development of the MyBioethics mobile application links these together within a digital space designed to encourage deliberation and research participation by inviting users into the process of discovery. Besides educational purposes, this has enabled a unique way to gather real-world observations. A research procedure was designed to harness the functionality of a mobile application. Quantitative data was generated by dilemma scenarios and integrated surveys that measure and inform users about their psychological and epistemic tendencies. The resulting analysis enabled the possible influence of these factors on moral judgment formation to be investigated—leading to the preliminary identification of prospective relationships. The adopted methodology is crowdsourced and explorative. We seek to generate hypotheses as well as facilitate ethical reflection among users. This work is a proof-of-concept. The main finding is the tentative confirmation of the approach. A digital teaching tool can function to advance empirical bioethics research. The gathered data unveiled prospective areas of academic interest and yielded observations that may contain valuable reflective insights for individual end users. Digital bioethics brings along new opportunities to engage a diverse user base in a way that provides educational resources, challenges ethical preconceptions and intuitions, allows inclusion in research efforts, and encourages autonomous decision-making. Ed-tech applications appear suitable for investigating personal tendencies that are influencing our moral judgments. Digital environments could be designed to surface unarticulated factors behind our held positions and challenge unquestioned moral notions.
Utilization of artificial intelligence and machine learning in chemistry education: a critical review
Authors: Iyamuremye Aloys , Niyonzima Francois Niyongabo , Mukiza Janvier , Twagilimana Innocent , Nyirahabimana Pascasie , Nsengimana Theophile , Habiyaremye Jean Dieu , Habimana Olivier , Nsabayezu Ezechiel
Published: July 2024

The current study aimed to criticize the existing literature on the utilization of artificial intelligence (AI) and machine learning (ML) in teaching and learning chemistry. A comprehensive critical literature review was conducted using electronic databases such as Scopus, PubMed, ISI, Google Scholar, ERIC, Web of Science, and JSTOR. In this regard, 62 articles were extracted from these electronic databases. During the selection of the literature inclusion and exclusion criteria were applied. The inclusion criteria include empirical and theoretical studies examining the effectiveness, challenges, and opportunities of AI/ML, and articles from 2018 to 2024 and written in English. On the other side, the exclusion criteria include literature that unrelated to education, lacking empirical evidence, or not peer-reviewed, as well as non-English publications, and published before 2018. This was done to gain insights into the current implementation status of AI and ML as well as critical issues of using these approaches in chemistry education. The study employed a critical review of the literature, which involves a critical analysis of the themes and concepts that emerge from the selected literature and identifies the opportunities and challenges surrounding the utilization of these technologies. The results revealed that there are opportunities for the integration of AI and ML in chemistry education, including personalized learning experiences, teacher assistance, and accessibility to learning materials. In this regard, intelligent tutoring systems and adaptive learning platforms were identified as potential aides for teachers in various aspects of teaching. The study also revealed the limitations and challenges surrounding AI and ML, such as the dependence on preexisting data, potential biases in models, and concerns around data privacy and security. Moreover, the findings also indicated that the implementation of AI and ML in chemistry education is still in its juvenile stage. Thus, teacher training programs are needed to equip teachers with the necessary skills for the use of these technologies effectively in the classroom. In addition, more efforts should be made to facilitate research, collaboration, and the development of policies and regulations that ensure responsible use of these technologies in the teaching and learning process.
The secret history of Germiyan, or a reassessment of the debates on the origins of the Germiyanids
Authors: Thurin Romain
Published: July 2024

In the early fourteenth century, decades before the Ottomans became the sole rulers of Anatolia, the Germiyanid beylik stood as a dominant force among the principalities that had emerged in western Anatolia following the demise of the Seljuks (1307). Nonetheless, to date, the exact origins and ethno-cultural background of the Germiyanids remain unclear. This article re-evaluates previous theories and posits that the embryo of what eventually became the Germiyanids formed between the eleventh and thirteenth centuries in the lowlands between Malatya and Lake Van, and that the name “Germiyan” was of Kurdish origin. It also suggests that an intense proto-Yedizi proselytism took place in eastern Anatolia before the Germiyanids migrated to western Anatolia. Beyond its significance to the history of the Seljuks, the Ottomans, the Mongols, and Byzantium, this paper challenges the prevailing narrative that views the emergence of the beyliks as an exclusively Turkic phenomenon and sheds light on the role played by non-Turkic people, including Kurds and Arabs, in their formation.
The Venus Global Ionosphere‐Thermosphere Model (V‐GITM): A Coupled Thermosphere and Ionosphere Formulation
Authors: Ponder Brandon M. , Ridley Aaron J. , Bougher Stephen W. , Pawlowski David , Brecht Amanda
Published: July 2024

This paper introduces the new Venus global ionosphere‐thermosphere model (V‐GITM) which incorporates the terrestrial GITM framework with Venus‐specific parameters, ion‐neutral chemistry, and radiative processes in order to simulate some of the observable features regarding the temperatures, composition, and dynamical structure of the Venus atmosphere from 70 to 170 km. Atmospheric processes are included based upon formulations used in previous Venus GCMs, several augmentations exist, such as improved horizontal and vertical momentum equations and tracking exothermic chemistry. Explicitly solving the momentum equations allows for the exploration of its dynamical effects on the day‐night structure. In addition, V‐GITM's use of exothermic chemistry instead of a strong heating efficiency accounts for the heating due to the solar EUV while producing comparable temperatures to empirical models. V‐GITM neutral temperatures and neutral‐ion densities are compared to upper atmosphere measurements obtained from Pioneer Venus and Venus Express. V‐GITM demonstrates asymmetric horizontal wind velocities through the cloud tops to the middle thermosphere and explains the mechanisms for sustaining the wind structure. In addition, V‐GITM produces reasonable dayside ion densities and shows that the neutral winds can carry the ions to the nightside via an experiment advecting .
The Capability of Amphibole in Tracing the Physicochemical Processes of Magma Mixing
Authors: Li Mingjian , Zeng Yunchuan , Tiepolo Massimo , Xu Jifeng , Cannaò Enrico , Forni Francesca , Huang Feng
Published: July 2024

This study explores the capability of amphibole in tracing the physicochemical process of magma mixing through spatially associated gabbros, mafic microgranular enclaves (MMEs) and granodiorites from central Tibet. These rocks share similar zircon ages as well as zircon Hf‐O and plagioclase Sr isotopes. However, the amphiboles within the gabbros and granodiorites have different Sr and B isotope compositions, while amphiboles with both heterogeneous isotopic imprints occur in the MMEs. According to data and modeling, significant mixing of two isotopically distinct magmas is recorded by amphibole but not by zircon and plagioclase. Based on a synthesis of petrography, geochemistry and thermobarometry, we interpret this inconsistency by the crystallization order of minerals and propose that magma mixing occurred after the parent magma was emplaced at ∼10 km and cooled to ∼750°C. Our study highlights that amphibole may be a more sensitive tracer of magma mixing relative to other commonly used methods.
Increases of Offshore Wind Potential in a Warming World
Authors: Shen Cheng , Li Zhi‐Bo , Yuan Hui‐Shuang , Yu Yue , Lei Yadong , Chen Deliang
Published: July 2024

Offshore wind farms, a rapidly expanding sector within wind energy, are playing a significant role in achieving global carbon neutrality, and this trend is to continue. Here, we utilize ERA5 reanalysis to correct offshore wind speed trends predicted by CMIP6 models. This approach led to enhanced projections for changes in offshore Wind Power Density (WPD) under four Shared Socioeconomic Pathways (SSPs) scenarios. Throughout the 21st century, global offshore WPD is projected to follow an upward trend across all SSP scenarios. Notably, Europe stands out with the most substantial increase in offshore WPD among regions with higher current installations, projected to reach up to 26% under 4°C global warming. Our study uncovers a notable increase of global offshore WPD in a warmer climate, which offers valuable insights for the strategic planning of future global wind energy.
Improved Energy Resolution Measurements of Electron Precipitation Observed During an IPDP‐Type EMIC Event
Authors: Clilverd M. A. , Rodger C. J. , Hendry A. T. , Lozinski A. R. , Sauvaud J.‐A. , Lessard M. R. , Raita T.
Published: July 2024

High energy resolution DEMETER satellite observations from the Instrument for the Detection of Particle (IDP) are analyzed during an electromagnetic ion cyclotron (EMIC)‐induced electron precipitation event. Analysis of an Interval Pulsation with Diminishing Periods (IPDP)‐type EMIC wave event, using combined satellite observations to correct for incident proton contamination, detected an energy precipitation spectrum ranging from ∼150 keV to ∼1.5 MeV. While inconsistent with many theoretical predictions of >1 MeV EMIC‐induced electron precipitation, the finding is consistent with an increasing number of experimentally observed events detected using lower resolution integral channel measurements on the POES, FIREBIRD, and ELFIN satellites. Revised and improved DEMETER differential energy fluxes, after correction for incident proton contamination shows that they agree to within 40% in peak flux magnitude, and 85 keV (within 40%) for the energy at which the peak occurred as calculated from POES integral channel electron precipitation measurements. This work shows that a subset of EMIC waves found close to the plasmapause, that is, IPDP‐type rising tone events, can produce electron precipitation with peak energies substantially below 1 MeV. The rising tone features of IPDP EMIC waves, along with the association with the high cold plasma density regime, and the rapidly varying electron density gradients of the plasmapause may be an important factor in the generation of such low energy precipitation, co‐incident with a high energy tail. Our work highlights the importance of undertaking proton contamination correction when using the high‐resolution DEMETER particle measurements to investigate EMIC‐driven electron precipitation.