bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling and simulation of three-person team cooperation considering mutual beliefs
Authors: Naoki Okabe , Taro Kanno , Sumie Cho , Kazuo Furuta , Haruka Yoshida , Daisuke Karikawa , Kohei Nonose , Satoru Inoue 
Published: February 2025

Abstract
Research on team has been conducted for many years because a team is a basic functional unit in sociotechnical systems. A major approach used in team research is an empirical approach, such as analysis of verbal and behavioral data obtained by field observations or laboratory experiments. This has advanced understanding of various factors that contribute to team performance. A cognitive process behind team interaction is one of the key factors, and its understanding has also progressed based mainly on empirical approaches; however, this approach requires a lot of effort and is limited in terms of the number of samples of experimental data and team contexts, so it is impossible to avoid certain limitations in terms of the research efficiency and the reliability and generality of the findings. In contrast, agent-based simulation can be repeatedly executed under various conditions with minimal effort, and is therefore a useful as an effective complementary approach to the empirical approach. However, existing agent-based simulations only partially or simplistically describe the cognitive processes and are therefore still insufficient to promote its research. The present study developed a simulation model of the cognitive processes that endogenously generate interactions with other agents and the environment to achieve a common goal. This model is structured based on a theoretical model of team cognition and simulates the cognitive process of how agents generate interactions. The present study applied the developed model to a cooperative diagnosis task of car malfunctions and conducted simulations to observe how the cognitive processes behind team interactions affect the information acquisition and sharing processes for building team situation awareness. The simulation results showed that mutual beliefs, main components of the model of team cognition driving the cognitive processes behind team interactions, could generally improve the efficiency and stability for building team situation awareness in the tested scenarios but could sometimes have a negative effect. We believe that this study provides a foundation for simulation studies on cognitive processes behind team interactions and can contribute to the advancement of human factor studies on team cooperation.
Elution suppression effect of radioactive cesium from municipal solid waste incineration fly ash using 10-[(tert-butyldiphenylsilyl)oxy]-decanoic acid
Authors: Kaseda Taiga , Ogawa Narihito , Koike Yuya 
Published: February 2025

Abstract
We studied the suppression of radioactive Cs elution from municipal solid waste incineration (MSWI) fly ash using 10-[(tert-butyldiphenylsilyl)oxy]-decanoic acid. The synthesized decanoic acid derivative coated on MSWI fly ash containing less than 8000 Bq kg−1 of radioactive Cs, and the amount of radioactive Cs eluted into pure water was measured by the Japanese Leaching Test No. 13. The elution rate of 137Cs from raw fly ash was normalized to 100%, and the relative elution rate of 137Cs using 10-[(tert-butyldiphenylsilyl)oxy]-decanoic acid was 25.3%. The synthesized carboxylic acid showed a high elution suppression effect on 137Cs in MSWI fly ash. SEM revealed that the water repellent layer was maintained on the MSWI fly ash treated with carboxylic acid synthesized around JLT-13. In addition, the contact angle measurement showed that the surface of the MSWI fly ash treated with the synthesized carboxylic acid for water repellency was hydrophobic. These results indicate that the surface of the MSWI fly ash was changed by applying a water repellent treatment with the synthesized carboxylic acid.
Developmental time, potential food sources and predatory behaviour of the invasive pest species Thrips parvispinus
Authors: Le Hesran Sophie , Sewkaransing Denise , Kuoh Henri Essombé , Messelink Gerben J. 
Published: February 2025

Abstract
Biological control of invasive thrips is a challenge in many agricultural systems, partly because of a lack of knowledge about their life cycle and interactions with their environment. Thrips parvispinus Karny (Thysanoptera: Thripidae) is an invasive species causing damage to many crops worldwide and on which our knowledge is still limited. We studied the developmental time of T. parvispinus under three different fluctuating temperature regimes, its predatory behaviour against the eggs of a phytoseiid predatory mite and the effect of different food sources on its oviposition rate. We showed that T. parvispinus adult females and L2 larvae can feed on a limited number of Amblyseius swirskii Athias-Henriot (Acari: Phytoseiidae) eggs and that their predatory behaviour is significantly affected by the nutritional quality of the host plant and the presence of pollen. Additionally, the oviposition rate of T. parvispinus females over six days was not positively affected by the presence of Typha angustifolia pollen, Artemia cysts or prey mites on bean leaves. Finally, we showed that the developmental time of T. parvispinus is relatively fast and comparable to that of the invasive thrips species Frankliniella occidentalis (Pergande) (Thysanoptera: Thripidae). Our study provides further insight into the feeding behaviour of T. parvispinus as an omnivorous pest species and its interactions with its predators. Thrips parvispinus is unlikely to have a negative effect on phytoseiid mite populations and the use of supplementary food to support predatory mites in the crop does not seem to pose a risk of significantly increasing T. parvispinus populations.
Hybrid Multilevel Detection of Mobile Devices Malware Under Concept Drift
Authors: Augello Andrea , De Paola Alessandra , Lo Re Giuseppe 
Published: February 2025

Abstract
Malwares are a major threat to the security of mobile devices, and Machine Learning (ML) is a widespread approach to automatically detect them. However, running ML analysis pipelines can be excessively burdensome for energy-constrained mobile devices. On the other hand, completely off-loading all the analysis to a remote server can introduce unacceptable communication overheads and delays in the detection process. In this paper, we propose a multilevel approach for malware detection on mobile devices that combines a lightweight local analysis of static features with a more computationally expensive remote analysis of dynamic features, through the adoption of ML methods. However, the effectiveness of automatic malware detection systems based on ML is often limited by unforeseen variations in the statistical characteristics of the observed data. This phenomenon, known as concept drift, can lead to a degradation of the performance of ML models over time. The proposed malware detection system is equipped with self-evaluation capabilities, enabling it to detect the occurrence of periods when its predictions become unreliable due to concept drift so that appropriate response strategies can be activated. In particular, when such critical events occur, the self-evaluation agent triggers the execution of an additional layer of analysis, hosted by a remote server, which allows the system to react to the unexpected reduction in its detection capabilities. The computational cost of the detection process is minimized by limiting the remote analysis to only those samples for which the analysis performed on-board the mobile device is likely to incorrectly classify the app.
Plasma-Assisted Non-Oxidative Coupling of Methane: Effects of Bead Size Distribution and Operating Pressure in a Co-axial DBD
Authors: Larsen T. S. , Andersen J. A. , Christensen J. M. , Fateev A. , Østberg M. , Morais E. , Bogaerts A. , Jensen A. D. 
Published: February 2025

Abstract
A co-axial packed-bed DBD reactor was used to conduct plasma-assisted non-oxidative coupling of methane (NOCM) utilizing glass beads as packing material at a fixed plasma power of 30 W. The influence on NOCM of five different bead size distributions (2000–5000 µm, 900–1100 µm, 425–600 µm, 212–300 µm, 150–212 µm) and operating pressure (1.2 bar, 1.7 bar) was investigated. The observed products consist of a mixture of saturated and unsaturated C2–C5 hydrocarbons. The conversion of methane decreased from 8.5 to 3.7% with decreasing bead size, while the selectivity towards unsaturated C2 compounds increased from 16 to 50% with decreasing bead size. These reactor performance variations are associated with the transitional plasma dynamics and degree of partial discharging, as determined by characterization of non-ideal charge–voltage plots for the five tested glass bead sizes.
Exact score and information matrix for panel hidden semi-Markov models
Authors: Farcomeni Alessio 
Published: February 2025

Abstract
We describe a general multivariate hidden semi-Markov model for time series and panel data. The model entails multiple response variables arising from exponential families conditionally on covariates and a discrete time-varying latent variable. The latter is modeled through transition probabilities and sojourn time distributions. We derive efficient forward recursions to exactly compute the score and information matrix. In a simulation study, we show the validity of our inferential approach for parameter and standard error estimation. The approach is also illustrated on an original real data example on sales of four arm types from member countries of the North Atlantic Treaty Organization to non-member countries in the period 2002–2022.
Evaluation of the landscape aesthetic experiences of olive groves and their contributions to human wellbeing: a case study from Akdeniz protected area in Northern Cyprus
Authors: Ciftcioglu Gulay Cetinkaya 
Published: February 2025

Abstract
Olive groves have played a crucial role in the sustainable development of the Mediterranean region throughout history. Even though they provide diverse benefits (e.g., ecological and economic) for human wellbeing (HWB), little is known about the landscape aesthetic experiences that olive groves offer and how they contribute to the different aspects of HWB. Such an oversight in the literature was the main source of motivation for the present study. To this end, the landscape aesthetic experiences of olive groves and their contributions to HWB among four distinct cultural groups were evaluated in Akdeniz Protected Area of Northern Cyprus by identifying the typologies for the landscape aesthetic experiences of olive groves and HWB, employing a preference-based questionnaire (on a 1–5-rating scale), and focus group discussions. The results showed that the respondents mostly appreciate the landscape aesthetic experience of olive groves for their ‘uniqueness’ (3.93 points), ‘olive-related products’ (3.90 points), and ‘naturalness’ (3.85 points). The total average mean score was estimated to be low, with 2.98 points. The landscape aesthetic experiences of olive groves mostly contribute to the ‘food’ (4.81 points), ‘physical health’ (4.68 points), ‘access to clean air’ (4.48 points), and ‘mental health’ (4.43 points) components of HWB. The overall contribution was estimated to be medium with 3.45 points. Culture was identified as the factor that affects the landscape aesthetic experiences of olive groves and their contributions to HWB. Consequently, landscape aesthetic experience should be used as a standard tool in landscape planning, management, and associated policies to enhance the protection of the olive groves, increase community awareness regarding the effective management of their lands and resources, and influence their attitudes and behaviors.
Sharp Lp -Regular Nonlocal Differential Operators and Applications
Authors: Shakhmurov Veli B. , Shahmurov Rishad 
Published: February 2025

Abstract
The maximal regularity properties of a fractional anisotropic elliptic equation are investigated. The equation involves an abstract linear operator

$$A$$

A

in Fourier type Banach space

$$E$$

E

and convolution terms. We find the sufficient conditions that guarantee the separability of this problems in

$$E$$

E

-valued weighted

$${L}_{p}$$

L
p

spaces. We prove that an anisotropic elliptic operator generated by this problem is sectorial and generates an analytic semigroup. In application, the maximal regularity properties of the Cauchy problem for degenerate abstract anisotropic parabolic equation and the boundary value problem for anisotropic elliptic convolution equation are obtained in mixed

$${L}_{\mathbf{p}}$$

L
p

norms.
Pareto-optimal workforce scheduling with worker skills and preferences
Authors: İşeri Ali , Güner Hatice , Güner Ali Rıza 
Published: February 2025

Abstract
This paper addresses employee scheduling in service operations, considering various skill and skill levels and the fluctuating customer demand throughout the day and week. Employee shift and day-off preferences are also considered to enhance morale. We propose a two-stage integer programming model. In the first stage, the model optimizes the number of employees required for each shift period, ensuring uniform distribution of overstaffing to improve customer service. A Pareto frontier approach is applied between the two stages, offering decision-makers a set of non-dominated solutions that balance overstaffing and understaffing. The second stage uses the selected Pareto-optimal solution to assign shifts and day-offs to employees, incorporating their skills, preferences, and fairness considerations. Our model implicitly includes shifts and breaks, reducing decision variables and computational time. Using real data from a dining restaurant chain, we validate the model’s effectiveness in enhancing customer service and reducing labor costs by 12.3% compared to manual scheduling. Furthermore, productivity and employee satisfaction improve by considering individual skills and preferences.
Optimization of protein recovery from Atlantic salmon (Salmo salar) head and backbone by response surface methodology and characterization of functional properties and nutritional value
Authors: Pap Nora , Mäkinen Sari , Nurmi Markus , Marnila Pertti , Hopia Anu , Rotola-Pukkila Minna , Sandell Mari , Mäkinen Jarkko , Kankaanpää Santeri , Pihlanto Anne 
Published: February 2025

Abstract
Atlantic salmon (Salmo salar) head and backbone by-products were hydrolysed using non-commercial protease enzyme (ERM 1) to produce protein. Response surface methodology was used to optimise conditions, including hydrolysis time, hydromodule and enzyme–substrate (E:S) ratio for maximum protein recovery. Highest protein recovery was obtained after 4 h hydrolysis, 1 L/kg hydromodule, and 0.39% of E:S ratio for the salmon head. Similarly, 3.75 h of hydrolysis time, 2.67 L/kg of hydromodule and 0.499% of E:S were found optimal for the salmon backbone. Total amino acid (TAA) composition revealed the presence of all essential amino acids in both hydrolysates. The sum of 16 TAAs was approximately both in salmon head and backbone samples 70 g/100 g, while FAAs were much higher in salmon head (13.4 g/100 g) then in the salmon backbone (8.8 g/100 g). The hydrolysates prevented the growth of E. coli K-12, but no significant effect on Listeria innocua (ATTC 33090) growth was seen. Fish hydrolysates showed nitrogen solubility indices above 90% at pH 5–8, with one exception of the salmon head hydrolysate at pH 5 with a value of 67.8%. Samples formed gels at 5 and 10% protein concentration. Gels were weak compared to gelatine gels.
Hydrogen extraction as a sustainable method for the recovery of phenolic compounds from tea wastes
Authors: Elnasankasim Muhammed Allam , Çiğdem Ayhan , Engin Tunahan , Alwazeer Duried 
Published: February 2025

Abstract
The significant production of tea waste globally raises environmental concerns. Tea waste can be valorized by extracting its phytochemicals. In this study, the recovery of phenolic substances, flavonoids, and antioxidants from the black tea wastes using two types of hydrogen-rich water (HRW): hydrogen bubbling and magnesium-water reaction (Mg water), besides ethanol/water (50/50, % vol), ethanol/Mg water (50/50, % vol), and pure water (control) was investigated. The best extraction yield was obtained for HRW (30.13%). The best levels of phenolics (TPC), flavonoids (TFC), and antioxidants (DPPH and ABTS) were found for HRW extracts, followed by ethanol/Mg water (50/50). The levels of TPC, TFC, DPPH, and ABTS increased by 193.05, 210.56, 49.21, and 86.60%, and by 59.70, 33.46, 28.66, and 58.25% when HRW and Mg water was used as a solvent instead of pure water, respectively, in the extraction. The maximum levels of phenolic acids (p-coumaric acid, chlorogenic acid, gallic acid) and flavonoids (rutin and epicatechin) were found in HRW extracts. Hydrogen extraction can be proposed as a sustainable method to extract phenolic substances from agri-food waste.
Soil Carbon Mapping of the Contiguous US Using VNIR Spectra Within A Heterogeneous Spatial Model
Authors: Parker Paul A. , Sansó Bruno 
Published: February 2025

Abstract
The Rapid Carbon Assessment, conducted by the US Department of Agriculture, was implemented in order to obtain a representative sample of soil organic carbon across the contiguous US. In conjunction with a statistical model, the dataset allows for mapping of soil carbon prediction across the US; however, there are two primary challenges to such an effort. First, there exists a large degree of heterogeneity in the data, whereby both the first and second moments of the data generating process seem to vary both spatially and for different land-use categories. Second, the majority of the sampled locations do not actually have laboratory-measured values for soil organic carbon. Rather, visible and near-infrared (VNIR) spectra were measured at most locations, which act as a proxy to help predict carbon content. Thus, we develop a heterogeneous model to analyze this data that allows both the mean and the variance to vary as a function of space as well as land-use category, while incorporating VNIR spectra as covariates. After a cross-validation study that establishes the effectiveness of the model, we construct a complete map of soil organic carbon for the contiguous US along with uncertainty quantification.
Integrative analysis of genetic variability and functional traits in lung adenocarcinoma epithelial cells via single-cell RNA sequencing, GWAS, bayesian deconvolution, and machine learning
Authors: Gao Chenggen , Wu Jintao , Zhong Fangyan , Yang Xianxin , Liu Hanwen , Lai Junming , Cai Jing , Mao Weimin , Xu Huijuan 
Published: February 2025

Abstract

Background
Lung adenocarcinoma remains a leading cause of cancer-related mortality worldwide, characterized by high genetic and cellular heterogeneity, especially within the tumor microenvironment.

Objective
This study integrates single-cell RNA sequencing (scRNA-seq) with genome-wide association studies (GWAS) using Bayesian deconvolution and machine learning techniques to unravel the genetic and functional complexity of lung adenocarcinoma epithelial cells.

Methods
We performed scRNA-seq and GWAS analysis to identify critical cell populations affected by genetic variations. Bayesian deconvolution and machine learning techniques were applied to investigate tumor progression, prognosis, and immune-epithelial cell interactions, particularly focusing on immune checkpoint markers such as PD-L1 and CTLA-4.

Results
Our analysis highlights the importance of genes like SLC2A1, which regulates glucose metabolism and correlates with tumor invasiveness and poor prognosis. Immune-epithelial interactions suggest a suppressive tumor microenvironment, potentially hindering immune responses. Additionally, machine learning models identify core prognostic genes such as F12, GOLM1, and S100P, which are significantly associated with patient survival.

Conclusions
This comprehensive approach provides novel insights into lung adenocarcinoma biology, emphasizing the role of genetic and immune factors in tumor progression. The findings support the development of personalized therapeutic strategies targeting both tumor cells and the immune microenvironment.
Thermal preferences of honey bee drones at different ages, depending on the rearing temperature
Authors: Łopuch Sylwia , Czekońska Krystyna 
Published: February 2025

Abstract
The thermal preferences of honey bee drones change with their age as a result of sexual maturation. However, the factors influencing them are still unknown. For this reason, the aim of this study was to assess the effect of the rearing temperature during the post-capped development of drones on their body mass at eclosion and thermal preferences. Combs with capped brood of drones from three colonies were kept in incubators in changing temperatures from higher to lower (35–33 °C) or from lower to higher (33–35 °C). After emergence, drones were individually weighed. Subsequently, their thermal preferences were tested at the ages of 1, 5, 10, 15, 20, and 25 days. Body mass at eclosion and thermal preferences of drones significantly depended on the rearing temperature and maternal colony. Drones reared in temperatures changing from higher to lower (35–33 °C) were considerably heavier after emergence compared with those reared in temperatures changing from lower to higher (33–35 °C). The thermal preferences of drones also changed with their age. The greatest differences in thermal preferences of drones from both groups (35–33 °C and 33–35 °C) were on the 5th and 15th days of life. These findings indicate that rearing conditions (temperature and colony) influence the body mass at eclosion and thermal preferences of drones.
On the valuative Nagata conjecture
Authors: Galindo Carlos , Monserrat Francisco , Moreno-Ávila Carlos-Jesús , Moyano-Fernández Julio-José 
Published: February 2025

Abstract
We provide several equivalent conditions for a plane divisorial valuation of a smooth projective surface to be minimal with respect to an ample divisor. These conditions involve a valuative Seshadri constant and other global tools of the surface defined by the divisorial valuation. As a consequence, we derive several equivalent statements for the valuative Nagata conjecture and some related results.
Asymptotic limit of the compressible Navier–Stokes system on domains with rough boundaries
Authors: Bhandari Kuntal , Gahn Markus , Nečasová Šárka , Neuss-Radu Maria , Rodríguez-Bellido María Ángeles 
Published: February 2025

Abstract
In this paper, we study the asymptotic behavior of solutions to the compressible Navier–Stokes system considered on a sequence of spatial domains, whose boundaries exhibit fast oscillations with amplitude and characteristic wave length proportional to a small parameter. Imposing the full-slip boundary conditions, we show that in the asymptotic limit the fluid sticks completely to the boundary, provided the oscillations are non-degenerate, meaning not oriented in a single direction.