bluuebunny/crossref_metadata_2025_split huggingface dataset:
Challenges and future research directions in secure multi-party computation for resource-constrained devices and large-scale computations
Authors: Gamiz Idoia , Regueiro Cristina , Lage Oscar , Jacob Eduardo , Astorga Jasone 
Published: November 2024

Abstract
In the era of Big Data and the advancement of the Internet of Things, there is an increasing amount of valuable information. It is important to emphasize that this data is usually sensitive or confidential, so security and privacy are two of the highest priorities for organizations when performing Data Mining. Researchers have explored techniques such as secure multi-party computation (SMPC) in the last decades. Nevertheless, there is still a significant gap between the theory of SMPC and its applicability, especially when working with resource-constrained devices or massive data. This work has been conducted with a systematic literature review, and it intends to analyze the open issues of adapting SMPC to those scenarios, by classifying the studies to answer two research questions: (1) how has the use of SMPC attempted to be adapted to constrained devices? and (2) how have traditional techniques fitted with Big Data? At the end of the process, after analyzing a total of 637 studies, 19 papers were selected. Regarding constrained devices, solutions are grouped into three main techniques: secure outsourcing, hardware-based trusted execution, and intermediate representations. As for Big Data, the selected studies use mixed protocols to change over cleartext and ciphertext, combine different types of SMPC protocols, or modify existing protocols through optimizations.
Online level-2 perspective taking for newly learnt symbols
Authors: Pető Réka , Elekes Fruzsina , Király Ildikó 
Published: November 2024

AbstractHumans demonstrate spontaneous sensitivity to other people’s perspectives on object identities in online tasks. Evidence shows that this not only involves representing the mere discrepancy between perspectives, but the content of such perspectives as well (level-2 perspective taking/L2PT). However, this evidence comes from studies using culturally grounded symbols which leaves open the possibility that having extensive, easily accessible background knowledge about an object is necessary for the L2PT effect. Experiment 1 tested this by comparing L2PT across two groups: one performing a verification task on Arabic numbers, and one on newly learnt symbol-label pairs. In both groups, half of the visual stimuli was symmetrical, while half was asymmetrical. In both cases, there was a joint condition: participants performed the task in parallel with a partner, observing stimuli from opposite angles, thus having conflicting interpretations for asymmetric characters. Furthermore, they also performed the verification task individually, while their partner had no visual access to the stimuli. We found an interference effect in both groups. However, while the effect was stable in the number group, it diminished over time in the symbol group. Experiments 2a and 2b demonstrated that the complexity of the recently learnt symbols has an influence on spontaneous L2PT: the same procedure with more complex symbols did not elicit any interference effect. Our results show that online L2PT is not limited to objects that participants have proficiency in identifying. Nevertheless, the L2PT effect seems to diminish when participants have to process increasingly complex novel symbols.
Enhancing the best-first-search F with incremental search and restarts for large-scale single machine scheduling with release dates and deadlines
Authors: Laalaoui Yacine , M’Hallah Rym 
Published: November 2024

AbstractThis paper presents a new heuristic search $$\hbox {F}_{IR}$$

F

IR

that determines the feasibility of scheduling a set of jobs on a single machine where each job is characterized by its release date, processing time, and deadline. $$\hbox {F}_{IR}$$

F

IR

uses incremental search and restart strategies to scale the best-first-search heuristic F (Laalaoui and M’Hallah, in: IEEE symposium on evolutionary scheduling and combinatorial optimisation (SSCI) 2022, IEEE, Singapore, 2022). Experimental results provide computational evidence of the superiority of $$\hbox {F}_{IR}$$

F

IR

for large-scale instances. In fact, $$\hbox {F}_{IR}$$

F

IR

outperforms the IBM ILOG CP constraint programming solver, the CPLEX mixed integer programming solver, and existing heuristics. It finds feasible solutions for many instances with 100,000 jobs in less than one minute.
Characterisation of the rigid diaphragm conditions for cross laminated timber floors
Authors: D’Arenzo Giuseppe , Rigo Pietro , Nicolussi Valentino , Pozza Luca , Casagrande Daniele 
Published: November 2024

Abstract
This paper presents a comprehensive numerical study aimed at defining the conditions for which Cross-Laminated Timber (CLT) floor diaphragms of platform-type CLT buildings can be assumed rigid in linear seismic analyses. Numerical analyses are conducted on a regular CLT archetype within a framework of parametric analyses, in which different geometrical and mechanical parameters including the stiffness of the floor panel-to-panel connections, the stiffness of the floor-to-wall connections, the floor span, the distance between two consecutive shear-walls, the lateral stiffness of the shear-walls, and the number of storeys are varied. The conditions to ensure a rigid diaphragm behaviour are derived by calculating the discrepancies in terms of floor displacements, distribution of lateral forces in the shear-walls, and fundamental vibration period of the structure, between numerical models where the floor is modelled with its actual deformability and as rigid. The discrepancies are compared with threshold values given in Eurocode 8 and used to derive the conditions for which CLT floor diaphragms can be assumed rigid. The study reveals that the behaviour of the floor tends toward the rigid diaphragm condition by increasing the stiffness of the floor panel-to-panel connections and the number of storeys, and by decreasing the stiffness of the floor-to-wall connections, the ratio between the distance between two consecutive shear-walls and the floor span, and the stiffness of the shear-walls. Specific threshold values ensuring a rigid diaphragm behaviour are determined for the properties of the system, delivering the geometrical and mechanical conditions for rigid CLT floor diaphragms.
Complementarities of occupations and language skills of immigrants in Europe
Authors: Tóth Peter , Vitáloš Matej 
Published: November 2024

AbstractWe study the returns to language skills of immigrants using the European Adult Education Survey (2016). We estimate a standard income equation augmented by self-reported proficiency levels in the host country’s language and in English. Contrary to earlier literature, we find that the inclusion of English skills of immigrants increases the estimated returns to proficiency in the local language. Next, considering heterogeneous effects across occupations, we find significantly positive returns to language proficiency only for medium-skilled occupations. Among those, blue-collar jobs reward fluency in both the local language and English. Whereas in white-collar jobs, only the knowledge of English yields significantly higher income. These estimates are consistent with occupational sorting of immigrants and suggest that there are complementarities between proficiency in languages and job skills for some occupations. Following earlier literature, we also corrected the potential endogeneity bias in host-country language skills using instrumental variable methods. Our findings could be relevant for immigration policies in Europe.
Predicting freshwater biological quality using macrophytes: A comparison of empirical modelling approaches
Authors: Gebler Daniel , Segurado Pedro , Ferreira Maria Teresa , Aguiar Francisca C. 
Published: November 2024

AbstractDifficulties have hampered bioassessment in southern European rivers due to limited reference data and the unclear impact of multiple interacting stressors on plant communities. Predictive modelling may help overcome this limitation by aggregating different pressures affecting aquatic organisms and showing the most influential factors. We assembled a dataset of 292 Mediterranean sampling locations on perennial rivers and streams (mainland Portugal) with macrophyte and environmental data. We compared models based on multiple linear regression (MLR), boosted regression trees (BRT) and artificial neural networks (ANNs). Secondarily, we investigated the relationship between two macrophyte indices grounded in distinct conceptual premises (the Riparian Vegetation Index — RVI, and the Macrophyte Biological Index for Rivers — IBMR) and a set of environmental variables, including climatic conditions, geographical characteristics, land use, water chemistry and habitat quality of rivers. The quality of models for the IBMR was superior to those for the RVI in all cases, which indicates a better ecological linkage of IBMR with the stressor and abiotic variables. The IBMR using ANN outperformed the BRT models, for which the r-Pearson correlation coefficients were 0.877 and 0.801, and the normalised root mean square errors were 10.0 and 11.3, respectively. Variable importance analysis revealed that longitude and geology, hydrological/climatic conditions, water body size and land use had the highest impact on the IBMR model predictions. Despite the differences in the quality of the models, all showed similar importance to individual input variables, although in a different order. Despite some difficulties in model training for ANNs, our findings suggest that BRT and ANNs can be used to assess ecological quality, and for decision-making on the environmental management of rivers.
Combined effect of a pretreatment and optical settings on the laser diffraction particle size distribution of soils and sediments
Authors: Gresina Fruzsina , Szalai Zoltán , Zacháry Dóra , Kiss Klaudia , Madarász Balázs , Angyal Zsuzsanna , Jakab Gergely , Darabos Gabriella , Varga György 
Published: November 2024

Abstract

Purpose
The two main challenges in providing good quality granulometric data are the limitations of laser diffraction method and the insufficient chemical pretreatments. The present study aims to determine the combined effect of these two sources of error and to find optimized procedures to fit the physical and chemical parameters of the soil and sediment samples.

Methods
Five soil and sediment samples with diverse characteristics were analysed. Three commonly used pretreatment procedures (FAO, USDA, Wageningen Agricultural University) were applied and compared to the “untreated” Hungarian standard. The particle size distributions (PSD) were determined by HORIBA LA-950V2 laser diffraction device with 25 optical setting combinations.

Results
The effectiveness of pretreatment protocols was related to the particle size, SOM content, size of the aggregates, clay ratio and the order of reagents. Descriptive statistics showed which preparation processes were effective for the dispersion of different sample types. Samples containing a relatively high amount of clay and/or SOM are sensitive to disaggregation procedures, affecting their texture. The refractive index (RI) 1.40 and absorption coefficient (AC) 0.00 and 0.01 provided the highest degree of disaggregation. By the changes in the mean and median values, we could determine which optical settings gave similar results that could be characterized by the same texture classifications.

Conclusions
None of the procedures was generally considered to be the best procedure. The disaggregation efficiency of the three sample preparation methods differs for different materials. These uncertainties, combined with inadequate optical settings, make it difficult to detect poor quality granulometric data.

Graphical Abstract
Embodiment and Violence: From Lived Experience to Imagistic Givenness
Authors: Ciocan Cristian 
Published: November 2024

Abstract
In this paper, I explore the bodily constitution of violence from a phenomenological perspective, contrasting the directly lived experience of violence with imagistic violence. The analysis involves examining one’s own embodiment from the first-person perspective in two distinct situations: as the agent of violence, anchored in one’s own “I can”, and as a passive victim, marked by vulnerability and helplessness. Each situation reveals specific particularities of the other’s adversity. The final section transitions to the imagistic experience of violence, discussing how bodily markers are modified in this context. Using Kubrick’s iconic film A Clockwork Orange as an example, I illustrate the shift in bodily structures and the implications of imagistic violence.
Colloidal nanocrystals: Viable model systems for electronic quantum materials?
Authors: Vliem Jara F. , Moes Jesper R. , Swart Ingmar , Vanmaekelbergh Daniel 
Published: November 2024

AbstractThe field of colloidal nanocrystals has witnessed enormous progress in the last three decades. For many families of nanocrystals, wet-chemical syntheses have been developed that allow control over the crystal shape and dimensions, from the three-dimensional down to the zero-dimensional case. Additionally, careful control of surface chemistry has enabled the prevention of non-radiative recombination, thus allowing the detailed study of confined charge carriers and excitons. This has led to a vast amount of applications of nanocrystals in displays, labels, and lighting. Here, we discuss how this expertise could benefit the rapidly advancing field of quantum materials, where the coherence of electronic wave functions is key. We demonstrate that colloidal two-dimensional nanocrystals can serve as excellent model systems for studying topological phase transitions, particularly in the case of quantum spin Hall and topological crystalline insulators. We aim to inspire researchers with strong chemical expertise to explore the exciting field of quantum materials.
Drag measurements of fluttering fabrics and their application for sportswear
Authors: Fuss Franz Konstantin 
Published: November 2024

AbstractLoose and baggy clothing is required by the rules of ski cross and snowboard cross. However, it is known from the literature that fluttering garments increase the aerodynamic drag. The aim of this study was to investigate the influence of flexural rigidity and fabric weight on the coefficient of drag CD. Eleven fabrics (550 mm long, 320 mm wide) with different flexural rigidity (0.016–99 µNm) and fabric weight (0.1–2.4 N/m2) were tested in a wind tunnel on a cylinder (width 325 mm, diameter 125 mm) at speeds of 25 to 120 kph (Reynolds numbers Re 60 k-280 k). The general trend showed that fluttering fabrics that are heavier and stiffer create more drag force. All but one fabric had a smaller CD than the bare cylinder in the subcritical flow regime (CD ≈ 1.1), at least within a Re window of 80 k. One fabric had a consistently higher CD (average: 1.27) than the bare cylinder. The mean CD value of the other ten fabrics ranged from 0.87 to 1.07, with minimum CD values between 0.76 and 1. The CD advantage of the ten fabrics ended at the beginning of the critical flow regime of the bare cylinder between Re 200 k and 220 k. A regression analysis showed that the magnitude of the CD is more influenced by the flexural rigidity of a fabric, normalised to its weight, than by the weight itself, at least at Re < 250 k. The results of this study suggest that ski and snowboard cross athletes’ suits should be made from light and flexible fabrics to reduce aerodynamic drag.
Revisiting fertility transition in China
Authors: Zheng Zhenzhen 
Published: November 2024

AbstractBy reviewing the fertility transition in China, this paper discusses multiple drivers of fertility decline in the 1970s and 1990s, including the role of family planning policies at different stages of the transition. The improved status of women played a key role in the fertility transition of the 20th century, but work-family conflict and traditional gender roles have increased the cost of childbearing for women. These factors have contributed to both low fertility and postponement of childbearing in the 21st century. By learning from past experiences and understanding the more complex causes of low fertility today, response strategies should aim to benefit different groups across all stages of the life cycle and in all aspects of life.
Assessing the relationship between broad gender inequality and the gender unemployment gap: insights from an extensive global macroeconometric panel analysis
Authors: Algül Yahya 
Published: November 2024

AbstractVarious labor market policies have been implemented globally to create a more inclusive work environment for women. However, institutional and structural barriers rooted in the socioeconomic and cultural frameworks of countries often impede progress towards this goal, as outlined in Gender Equality Goal Five of the United Nations Development Goals. Gender inequality in employment is a multifaceted issue influenced by socioeconomic and sociocultural factors, which are affected by households, societies, institutions, and states. Consequently, even with a strong legal framework, desired outcomes may not be achieved if the social structure is not supportive. Therefore, institutional and structural factors often manifest as broader gender disparities within societies, leading to a parallel between gender inequality in society and in the workplace. In this context, this study, as far as is known, is the first to estimate the potential relationship between broader societal gender inequality, measured through a composite index including health, education, economic and political empowerment, and the gender unemployment gap. Additionally, in this context, it has been considered as a second model in the relationship between broader societal gender inequality and women's unemployment rate. Using data from 73 countries with varying sociocultural and economic development levels from 1990 to 2022, two models are estimated using the Panel Mean Group Estimator methodology. The findings indicate that as broader gender inequality increases, both female unemployment rates and the gender unemployment gap rise. Therefore, in addition to conventional policies, it is recommended to implement strategies that promote structural changes within society, enhance women's roles and status, and integrate gender equality principles through education.
Federated Learning-Assisted Coati Deep Learning-Based Model for Intrusion Detection in MANET
Authors: Hussain S. Faizal Mukthar , Fathima S. M. H. Sithi Shameem 
Published: November 2024

AbstractMANET is a set of self-arranged, wirelessly connected nodes. Each mobile ad hoc network node acts as a router to send the packet from the source node to the destination node. MANET nodes’ random movements and decentralized architecture pose security challenges, making them vulnerable to various attacks like node selfishness, network partition, black hole, and DoS due to limited hardware resources. In this paper, a novel Hybrid Intrusion DEtection for MANet (HIDE-MAN) technique has been proposed to detect intrusion like DDoS and MitM attacks in MANET. The proposed HIDE-MAN framework initiates by preprocessing malicious data packets through data cleaning and data transformation resulting in the creation of high-dimensional vectors. The intrusion detection system then makes use of the CO-BiLSTM model, which is based on the actions of Coati and BiLSTM. It categorizes outputs into DDoS attacks, MitM attacks, or the absence of any attacks. Federated learning with GAN networks allows for the aggregation of updates from multiple local models distributed across MANET. Assessment metrics such as accuracy, precision, F1 score, detection rate, recall, and security rate have been utilized to assess the efficacy of the proposed HIDE-MAN method. The comparative analysis shows that the detection rate of the proposed HIDE-MAN is greater by 18.9%, 18.07%, and 4.03% than that of the current KBIDS, WOA-DNN, and MSA-GCNN techniques, respectively.
Impact of climate change and human actions on the turbidity of water from wetlands in Rukiga district in Uganda: implications for health and community involvement
Authors: Sahani Mateus Kambale 
Published: November 2024

AbstractClimate change has been a serious issue in many countries, including Uganda, and has led to water contamination, pollution, and even water scarcity. Wetlands have shown their capacity to maintain water quality and safety for the population’s health through their filtering function, but they are highly susceptible to agricultural activities and destruction. This study aimed to determine the status of fifteen wetlands in the Rukiga district and the impact of climate hazards and human activities on water quality in the area where a conservation project was implemented by three organisations. Eighteen-month records were obtained, and readings were taken to determine the turbidity level of the water from the different wetlands. The reading mean of each wetland was used to determine three water source categories: clear or non-turbid (read > 80), less turbid (read 50–80), and very turbid (read 0–50). Analysis was performed with SPSS V28.0, which included univariate and bivariate analyses. Observation and conversation notes with project staff and community members were taken. The study showed that 93.33% of the water sources from wetlands were turbid, and for some, the turbidity did not oscillate stably from one category to another. Only one water source (6.67%) was still clear (non-turbid) for 18 months. These communities mostly contain wetlands as the main sources of water, which is collected from streams. Wetlands are more susceptible to agricultural activities, and hills are deforested exposing to soil erosion leading to water contamination. In conclusion, most wetlands are destroyed and have lost their filtering capacity and exposing people to consumption of unsafe water. Climate hazards and agricultural activities contributed the most to this issue. Interactions between NGOs and communities are helpful in responding to this threat.
Group-level signatures in bonobo sociality
Authors: van Leeuwen Edwin J. C. , Staes Nicky , Eens Marcel , Stevens Jeroen M. G. 
Published: November 2024

Abstract
Humans show remarkable differences in social behaviour between families, groups, communities and cultures, whereas such group-level within-species variation in socio-behavioural propensities is typically overlooked in other species. Studies on intraspecific variation in animal social structures are needed to inform an evolutionary account of human sociality. Here, we study multiple independent bonobo populations (n = 6) in zoological settings to investigate if and how bonobos (n = 70) show group-specific signatures in sociality. By applying tailored Bayesian statistical methods, we find that beyond individual and dyadic variation, the groups substantially differ from each other in core dimensions of great ape sociality: social proximity, grooming and play. Moreover, the groups’ network structures are distinct regarding cohesiveness and clustering, with some groups forming cohesive wholes, while others showcasing high levels of sub-grouping. Overall, while there is consistent evidence of differences in sociality between the groups, the patterns of cohesiveness and clustering are not consistent across the networks. This suggests that rather than groups having different levels of sociality, different patterns of sociality exist in each group. These findings warrant caution with characterising bonobos’ behavioural phenotype at the species level, and identify an essential source of variation that needs to be integrated in phylogenetic analyses.