bluuebunny/crossref_metadata_2025_split huggingface dataset:
Link prediction for ex ante influence maximization on temporal networks
Authors: Yanchenko Eric , Murata Tsuyoshi , Holme Petter 
Published: September 2023

AbstractInfluence maximization (IM) is the task of finding the most important nodes in order to maximize the spread of influence or information on a network. This task is typically studied on static or temporal networks where the complete topology of the graph is known. In practice, however, the seed nodes must be selected before observing the future evolution of the network. In this work, we consider this realistic ex ante setting where p time steps of the network have been observed before selecting the seed nodes. Then the influence is calculated after the network continues to evolve for a total of $$T>p$$

T
>
p

time steps. We address this problem by using statistical, non-negative matrix factorization and graph neural networks link prediction algorithms to predict the future evolution of the network, and then apply existing influence maximization algorithms on the predicted networks. Additionally, the output of the link prediction methods can be used to construct novel IM algorithms. We apply the proposed methods to eight real-world and synthetic networks to compare their performance using the susceptible-infected (SI) diffusion model. We demonstrate that it is possible to construct quality seed sets in the ex ante setting as we achieve influence spread within 87% of the optimal spread on seven of eight network. In many settings, choosing seed nodes based only historical edges provides results comparable to the results treating the future graph snapshots as known. The proposed heuristics based on the link prediction model are also some of the best-performing methods. These findings indicate that, for these eight networks under the SI model, the latent process which determines the most influential nodes may not have large temporal variation. Thus, knowing the future status of the network is not necessary to obtain good results for ex ante IM.
The politics of decolonising the curriculum through adopting mother tongue instruction in a South African historically disadvantaged university setting
Authors: Nyoni Phefumula 
Published: September 2023

AbstractThis paper focuses on the dynamics of decolonising the curriculum by adopting mother tongue language as a medium for instruction in South African universities. There has been growing criticism on the slow pace of decoloniality within university spaces amid mounting challenges of lack of development in society. The paper speaks to the experiences of historically disadvantaged universities regarding adopting mother tongue instruction, especially considering the complexities and contradictions posed by institutional culture and epistemological traditions. The paper presents insights into how a decolonial perspective can assist in ridding African universities of epistemological and pedagogical practices that hinder decolonial efforts and broader societal development. The paper focuses on the synergies between mother tongue instruction and curriculum transformation in light of the contradictions associated with the use of the mother tongue that could enhance students’ epistemic access and success. It thus presents opportunities and controversies surrounding the introduction of the language policy, especially among historically disadvantaged universities. A Kaupapa Māori approach philosophical lens of reimagination evoked during the 1980s revolution becomes a central theoretical framework. It helps understand how indigenous philosophies can be essential in decolonising African knowledge and epistemological traditions. In this regard, the paper concludes that applying the Kaupapa Māori approach—and in particular, the principle of reimagination on the curriculum transformation in African universities (especially the formerly disadvantaged ones)—can propel a decolonial drive. The paper resulted from experiential knowledge and observations, informal interviews targeting students and scholars and empirical evidence from previous studies.
Deep-learning for automated markerless tracking of infants general movements
Authors: Abbasi H. , Mollet S. R. , Williams S. A. , Lim L. , Battin M. R. , Besier T. F. , McMorland A. J. C. 
Published: September 2023

AbstractThe presence of abnormal infant General Movements (GMs) is a strong predictor of progressive neurodevelopmental disorders, including cerebral palsy (CP). Automation of the assessment will overcome scalability barriers that limit its delivery to at-risk individuals. Here, we report a robust markerless pose-estimation scheme, based on advanced deep-learning technology, to track infant movements in consumer mobile device video recordings. Two deep neural network models, namely Efficientnet-b6 and resnet-152, were trained on manually annotated data across twelve anatomical locations (3 per limb) in 12 videos from 6 full-term infants (mean age = 17.33 (SD 2.9) wks, 4 male, 2 female), using the DeepLabCut™ framework. K-fold cross-validation indicates the generalization capability of the deep-nets for GM tracking on out-of-domain data with an overall performance of 95.52% (SD 2.43) from the best performing model (Efficientnet-b6) across all infants (performance range: 84.32–99.24% across all anatomical locations). The paper further introduces an automatic, unsupervised strategy for performance evaluation on extensive out-of-domain recordings through a fusion of likelihoods from a Kalman filter and the deep-net. Findings indicate the possibility of establishing an automated GM tracking platform, as a suitable alternative to, or support for, the current observational protocols for early diagnosis of neurodevelopmental disorders in early infancy.
Blast from the past: a study of decades-old fungal cultures resolves a long-standing tree disease mystery
Authors: Wingfield Michael J. , Pham Nam Q. , Marincowitz Seonju , Duong Tuan A. , Wingfield Brenda D. , Wilson Andi M. 
Published: September 2023

AbstractA root disease in plantations of Pinus radiata and Pinus pinaster, where trees died in distinct patches, was present in the Western Cape province of South Africa during the 1970s and 1980s. Phytophthora cinnamomi was initially believed to be the cause, but the disease was later ascribed to the insect-associated fungus Leptographium serpens, a fungal species residing in the Ophiostomatales. Doubt regarding the cause of the disease was raised in a later study due to the fact that most Leptographium spp., particularly those that colonise ray parenchyma tissues, which is the case for L. serpens, are not typically primary disease agents. In this study, cultures of an unidentified sterile fungus collected from the dying trees were revived and identified using DNA sequencing methods, which were not available when the disease was first studied. These cultures were identified as the pyrophillic pathogen Rhizina undulata, well-known to cause patch death of conifers in South Africa and elsewhere in the world. While the patches of dying trees no longer exist and the disease cannot be newly studied, it is most likely that the tree death originally thought to be caused by L. serpens was due primarily to R. undulata. The study provides a vivid example of the value of preserving cultures of fungi for later study and the power of modern techniques to identify fungal pathogens.
Impact of carbon price on Indonesia’s power sector up to 2050
Authors: Kamandika Firsta Arianty , Dhakal Shobhakar 
Published: September 2023

AbstractThis study uses TIMES model to assess Indonesia’s power sector’s carbon price impact from 2020 to 2050 and the price needed by 2030 to meet the Paris Agreement NDC target. Four scenarios are used to model the impact of carbon price up to 2050: no carbon price, Indonesia’s current price of USD 2.02/tCO2e, ICPF middle- and high-income countries, USD 50/tCO2e and USD 75/tCO2e. Four price scenarios—10, 25, 35, and 150 USD/tCO2e —are added to better understand the carbon price’s effects. As carbon prices rise, installed capacity and power generation will shift to lower-carbon technology. Ultracritical coal, gas-fired, solar, geothermal, and hydropower plants will replace subcritical coal. Investment, fixed, and variable costs would exceed BaU with a higher carbon price. 2.02 to 25 USD/tCO2e can start the coal-to-gas switch but not significantly change the generation profile. The generation will change significantly above 35 USD/tCO2e. Carbon emissions peak lower with rising carbon prices. USD 25 carbon price reduces emissions significantly; a carbon price below that is costly and ineffective. Indonesian Law No. 16 of 2016 ratified the Paris Agreement NDC, committing Indonesia to reduce greenhouse gas emissions by 29% by 2030 or 41% with international assistance. Energy sector emissions need to decrease by 11% for a 29 percent reduction and 14% for a 41 percent reduction. A 29% reduction requires USD 39.65/tCO2e carbon price, while a 41% reduction requires USD 43.78/tCO2e. These prices are still within the reasonable ICPF price limit for Indonesia to approach the middle-income country price floor.
Highly sensitive electrochemical detection of cholesterol based on Au–Pt NPs/PAMAM–ZIF-67 nanomaterials
Authors: Zhang Liangtian , Zhu Jianmeng , Hong Wenzhong , Li Gang 
Published: September 2023

AbstractA cholesterol biosensor was constructed by bimetallic (Au and Pt) and poly(amidoamine)-zeolite imidazole framework (PAMAM–ZIF-67). First, PAMAM–ZIF-67 nanomaterial was immobilized onto the electrode, and then Au and Pt were modified on the electrode by the electro-deposition method. Subsequently, cholesterol oxidase (ChOx) and cholesterol esterase (ChEt) were fixed on the electrode. The stepwise modification procedures were recorded by impedance spectroscopy and voltammetry. The current response presented a linear relation to the logarithm of cholesterol content when content ranged between 0.00015 and 10.24 mM, and the minimum detection concentration reached 3 nM. The electrode was also used for the cholesterol assay in serum, which hinted at its potentially valuable in clinical diagnostics.
Graphical abstract
An electrochemical biosensor based on gold nanoparticles, platinum nanoparticles, and polyamide–zeolitic imidazolate frameworks was developed for detection of cholesterol. First, polyamide–zeolitic imidazolate frameworks nanomaterial was fixed onto the electrode modified of mercaptopropionic acid by Au–S bond. Then, gold nanoparticles and platinum nanoparticles were electrodeposited on the above electrode. Subsequently, cholesterol oxidase and cholesterol esterase were co-immobilized on the surface of the modified electrode to fabricate the cholesterol biosensor. The biosensor has also been used for the measurement of cholesterol in human serum, which implied potential applications in biotechnology and clinical diagnostics.
Nitrogen management with reinforcement learning and crop growth models
Authors: Kallenberg Michiel G.J. , Overweg Hiske , van Bree Ron , Athanasiadis Ioannis N. 
Published: September 2023

Abstract
The growing need for agricultural products and the challenges posed by environmental and economic factors have created a demand for enhanced agricultural systems management. Machine learning has increasingly been leveraged to tackle agricultural optimization problems, and in particular, reinforcement learning (RL), a subfield of machine learning, seems a promising tool for data-driven discovery of future farm management policies. In this work, we present the development of CropGym, a Gymnasium environment, where a reinforcement learning agent can learn crop management policies using a variety of process-based crop growth models. As a use case, we report on the discovery of strategies for nitrogen application in winter wheat. An RL agent is trained to decide weekly on applying a discrete amount of nitrogen fertilizer, with the aim of achieving a balance between maximizing yield and minimizing environmental impact. Results show that close to optimal strategies are learned, competitive with standard practices set by domain experts. In addition, we evaluate, as an out-of-distribution test, whether the obtained policies are resilient against a change in climate conditions. We find that, when rainfall is sufficient, the RL agent remains close to the optimal policy. With CropGym, we aim to facilitate collaboration between the RL and agronomy communities to address the challenges of future agricultural decision-making.
The state, capital, and worker vulnerability: The case of ride-hailing drivers in Ghana
Authors: Akorsu Angela D. 
Published: September 2023

AbstractThe vulnerability associated with the drudgery of drivers in the ride-hailing enterprise of the platform economy has come under both public scrutiny and scholarly study. There remains, however, a dearth of knowledge around how driver vulnerabilities are produced and maintained, and which actors drive those. This paper contributes to the discourse by unpacking how the political economy of digital capitalism plays out to undermine the fortunes of ride-hailing drivers in Ghana. Using qualitative interviews and focus group discussions, the paper shows that drivers’ vulnerabilities stem primarily from the unbridled control over the means of production, which are the digital platforms and the vehicles, as well as the ensuing unequal power relations between capital owners and drivers as capital producers. The paper also characterises the ambivalent role of the State as a capitalist agent that maintains the status quo, albeit nuanced. The need to interrogate alternatives to augment State regulation is therefore recommended for mediating the relationship between capital owners and drivers as capital producers. Effective alternatives would be reducing capital’s monopoly by replacing private, foreign platforms with local public platforms and strengthening drivers’ collective agency to mediate the excessive power of the capital owners.
Adjudication of Artificial Intelligence and Automated Decision-Making Cases in Europe and the USA
Authors: Kiesow Cortez Elif , Maslej Nestor 
Published: September 2023

AbstractArtificial Intelligence (AI) has started to impact many facets of the economy and people’s routine activities. This article contributes to our understanding of how the legal system is reacting to the ongoing uptake of AI and the disputes or right infringements this uptake creates. Select legal cases regarding the use of AI technology for automated decisions are reviewed, with a focus on filings in Europe and the USA. This exercise reveals which type of legal challenges can be expected when it comes to deploying automated systems in these jurisdictions. Additionally, incipient regulatory efforts targeting AI on both sides of the North Atlantic are introduced and briefly discussed. The paper sheds light on how different legal systems accommodate an emerging technology with disruptive potential and offers a mapping of exemplary legal risks for prospective actors or organisations seeking to develop and deploy AI.
Pointwise convergence in nilmanifolds along smooth functions of polynomial growth
Authors: TSINAS KONSTANTINOS 
Published: September 2023

AbstractWe study the equidistribution of orbits of the form
$b_1^{a_1(n)}\cdots b_k^{a_k(n)}\Gamma $
in a nilmanifold X, where the sequences
$a_i(n)$
arise from smooth functions of polynomial growth belonging to a Hardy field. We show that under certain assumptions on the growth rates of the functions
$a_1,\ldots ,a_k$
, these orbits are equidistributed on some subnilmanifold of the space X. As an application of these results and in combination with the Host–Kra structure theorem for measure-preserving systems, as well as some recent seminorm estimates of the author for ergodic averages concerning Hardy field functions, we deduce a norm convergence result for multiple ergodic averages. Our method mainly relies on an equidistribution result of Green and Tao on finite segments of polynomial orbits on a nilmanifold [The quantitative behaviour of polynomial orbits on nilmanifolds. Ann. of Math. (2)175 (2012), 465–540].
Gas-sheared falling liquid films beyond the absolute instability limit
Authors: Ishimura Misa , Mergui Sophie , Ruyer-Quil Christian , Dietze Georg F. 
Published: September 2023

We study the effect of a confined turbulent counter-current gas flow on the waviness of a weakly inclined falling liquid film. Our study is centred on experiments in a channel of 13 mm height, using water and air, where we have successively increased the counter-current gas flow rate until flooding. Computations with a new low-dimensional model and linear stability calculations are used to elucidate the linear and nonlinear wave dynamics. We find that the gas pressure gradient plays an important role in countering the stabilizing effect of the tangential gas shear stress at the liquid–gas interface. At very low inclination angles, the latter effect dominates and can suppress the long-wave Kapitza instability unconditionally. By contrast, for non-negligible inclination, the gas effect is linearly destabilizing, amplifies the height of nonlinear Kapitza waves, and exacerbates coalescence-induced formation of large-amplitude tsunami waves. Kapitza waves do not undergo any catastrophic transformation when the counter-current gas flow rate is increased beyond the absolute instability (AI) limit. On the contrary, we find that AI is an effective linear wave selection mechanism in a noise-driven wave evolution scenario, leading to highly regular downward-travelling nonlinear wave trains, which preclude coalescence events. In our experiments, where Kapitza waves develop in a protected region before coming into contact with the gas, flooding is eventually caused far beyond the AI limit by upward-travelling short-wave ripples. Based on our linear stability calculations for arbitrary wavenumbers, we have uncovered a new short-wave interfacial instability mode with negative linear wave speed, causing these ripples.
R-positivity and the existence of zero-temperature limits of Gibbs measures on nearest-neighbor matrices
Authors: Curinao Jorge Littin , Rincón Gerardo Corredor 
Published: September 2023

AbstractWe study the
$R_\beta$
-positivity and the existence of zero-temperature limits for a sequence of infinite-volume Gibbs measures
$(\mu_{\beta}(\!\cdot\!))_{\beta \geq 0}$
at inverse temperature
$\beta$
associated to a family of nearest-neighbor matrices
$(Q_{\beta})_{\beta \geq 0}$
reflected at the origin. We use a probabilistic approach based on the continued fraction theory previously introduced in Ferrari and Martínez (1993) and sharpened in Littin and Martínez (2010). Some necessary and sufficient conditions are provided to ensure (i) the existence of a unique infinite-volume Gibbs measure for large but finite values of
$\beta$
, and (ii) the existence of weak limits as
$\beta \to \infty$
. Some application examples are revised to put in context the main results of this work.
The unequal effect of economic development on perceived labor market risks and welfare
Authors: Palmtag Tabea 
Published: September 2023

AbstractEconomic development and accompanying structural changes of the economy create new opportunities, however not everywhere and not for everyone. Development increases the demand for skilled labor, improving their welfare perceptions, but low-skilled workers feel more insecure and worse off economically. This adverse effect results from a mismatch between local labor demand and individual skill sets. To measure the development levels of people's local environments, I combine geocoded Afrobarometer data and night lights. Bayesian multilevel analysis confirms that the highly skilled are economically most dissatisfied in lagging areas, while the low-skilled are less satisfied in highly developed environments. These findings emphasize the importance of local conditions for welfare perceptions and show the unequal effect of development leaving behind large parts of the population.
Calibrating the Wisconsin in the eastern Great Lakes of North America using optically stimulated luminescence (OSL) dating of the Quaternary sediments at Sand Hill Park, north shore of Lake Erie, Ontario
Authors: Brookfield Michael E. , Buylaert Jan-Pieter , Murray Andrew 
Published: September 2023

AbstractThe eastern Great Lakes Late Quaternary timescale is based on older thermoluminescence dates and on uncalibrated radiocarbon dates from extensive sections along the north shores of Lakes Erie and Ontario. New optically stimulated luminescence dates from Late Quaternary delta sediments from the north shores of Lake Erie at Sand Hills Park give consistent ages of 23.5 to 20.5 ka. This is 4 to 7 ka older than previously assigned based on lithologic correlation with 16.5 ka calibrated radiocarbon dated sediments 5 km to the west at Vanderven. On the existing eastern Great Lakes stratigraphy, it puts deposition of these Sand Hills Park sediments in the Erie interstadial and not in the fluctuating postglacial glacial retreat of the Mackinaw phase to which the Vanderven sediments belong. The Sand Hills delta and underlying diamicts must have been overridden by the Porty Bruce advance at 18 ka. IntCal20 calibration of existing radiocarbon ages suggests that the physical stratigraphic relations of the various Wisconsin units are accurate and that the existing timescale is simply too young.
Anger, Fear, and the Racialization of News Media Coverage of Protest Activity
Authors: Gause LaGina , Moore Steven T. , Ostfeld Mara Cecilia 
Published: September 2023

AbstractBlack Lives Matter, Occupy Wall Street, and the Tea Party are among the many movements that have reignited media attention to protest activity. Yet, there is much to learn about what this media coverage conveys. In particular, how much does who is protesting matter for how the media portray protesters and their objectives? In this paper, we draw on an extensive content analysis of cable and broadcast news media coverage of protest activities to demonstrate substantial differences in how protests are covered depending on the race and objective of the protesters. We find that media are much more likely to depict protests by people of color using language that evokes a sense of threat by using anger- and fear-laden language than comparable coverage of protest activity involving mostly White individuals. Our results demonstrate that racial biases in news coverage are much broader than previously thought. In doing so, our work highlights the powerful role that a protester’s race plays in whether the media will condone or challenge their political voice.
Kinematics and optimization of a novel 4-DOF two-limb gripper mechanism
Authors: Wang Lin , Fang Yuefa , Zhang Dan , Yang Yi 
Published: September 2023

AbstractThis study presents a novel 4-DOF two-limb gripper mechanism with a simple design that offers high adaptability for different objects. The mechanism integrates a three-finger end effector and employs a 2-DOF driving system in both serial kinematic chains mounted on the base, addressing performance problems caused by moving actuators. First, the architecture of the gripper mechanism is described, and its mobility is verified. Next, the inverse and forward kinematic problems are solved, and the Jacobian matrix is derived to analyze the singularity conditions. The inverse and forward singularity surfaces are plotted. The workspace is investigated using a search method, and two indices, manipulability and dexterity, are studied. The proposed manipulator’s parameters are optimized for improved dexterity. The novel gripper mechanism has high potential for grasping different types of parts within a large workspace, making it a valuable addition to the field of robotics.