bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genotype-Environment Interaction in ADHD: Genetic Predisposition Determines the Extent to Which Environmental Influences Explain Variability in the Symptom Dimensions Hyperactivity and Inattention
Authors: Schwabe Inga , Jović Miljan , Rimfeld Kaili , Allegrini Andrea G. , van den Berg Stéphanie M. 
Published: January 2024

AbstractAlthough earlier research has shown that individual differences on the spectrum of attention deficit hyperactivity disorder (ADHD) are highly heritable, emerging evidence suggests that symptoms are associated with complex interactions between genes and environmental influences. This study investigated whether a genetic predisposition [Note that the term ‘genetic predisposition’ was used in this manuscript to refer to an estimate based on twin modeling (an individual’s score on the latent trait that resembles additive genetic influences) in the particular population being examined.] for the symptom dimensions hyperactivity and inattention determines the extent to which unique-environmental influences explain variability in these symptoms. To this purpose, we analysed a sample drawn from the Twins Early Development Study (TEDS) that consisted of item-level scores of 2168 16-year-old twin pairs who completed both the Strengths and Difficulties Questionnaire (SDQ; Goodman, in J Child Psychol Psychiatry 38:581–586, 1997) and the Strength and Weaknesses of ADHD Symptoms and Normal Behavior (SWAN; Swanson, in Paper presented at the meeting of the American Psychological Association, Los Angeles, 1981) questionnaire. To maximize the psychometric information to measure ADHD symptoms, psychometric analyses were performed to investigate whether the items from the two questionnaires could be combined to form two longer subscales. In the estimation of genotype-environment interaction, we corrected for error variance heterogeneity in the measurement of ADHD symptoms through the application of item response theory (IRT) measurement models. A positive interaction was found for both hyperactivity (e.g., $${\beta }_{1}$$

β
1

= 2.20 with 95% highest posterior density interval equal to [1.79;2.65] and effect size equal to 3.00) and inattention (e.g., $${\beta }_{1}$$

β
1

= 2.16 with 95% highest posterior density interval equal to [1.56;2.79] and effect size equal to 3.07). These results indicate that unique-environmental influences were more important in creating individual differences in both hyperactivity and inattention for twins with a genetic predisposition for these symptoms than for twins without such a predisposition.
m6A modification mediates SLC3A2/SLC7A5 translation in 3-methylcholanthrene-induced uroepithelial transformation
Authors: Liu Bixia , Lv Yifan , Hu Wenyu , Huang Yapeng , Ying Xiaoling , Chen Cong , Zhang Haiqing , Ji Weidong 
Published: January 2024

Abstract3-Methylcholanthracene (3-MC) is one of the most carcinogenic polycyclic aromatic hydrocarbons (PAHs). Long-term exposure to PAHs has been thought of as an important factor in urothelial tumorigenesis. N6-methyladenosine (m6A) exists widely in eukaryotic organisms and regulates the expression level of specific genes by regulating mRNA stability, translation efficiency, and nuclear export efficiency. Currently, the potential molecular mechanisms that regulate m6A modification for 3-MC carcinogenesis remain unclear. Here, we profiled mRNA, m6A, translation and protein level using “-omics” methodologies, including transcriptomes, m6A profile, translatomes, and proteomics in 3-MC-transformed urothelial cells and control cells. The key molecules SLC3A2/SLC7A5 were screened and identified in 3-MC-induced uroepithelial transformation. Moreover, SLC7A5/SLC3A2 promoted uroepithelial cells malignant phenotype in vitro and in vivo. Mechanically, METTL3 and ALKBH5 mediated m6A modification of SLC3A2/SLC7A5 mRNA in 3-MC-induced uroepithelial transformation by upregulating the translation of SLC3A2/SLC7A5. Furthermore, programmable m6A modification of SLC3A2/SLC7A5 mRNA affected the expression of its proteins. Taken together, our results revealed that the m6A modification-mediated SLC3A2/SLC7A5 translation promoted 3-MC-induced uroepithelial transformation, suggesting that targeting m6A modification of SLC3A2/SLC7A5 may be a potential therapeutic strategy for bladder cancer related to PAHs.
Schrödinger Cats and Quantum Complementarity
Authors: Maccone Lorenzo 
Published: January 2024

AbstractComplementarity tells us we cannot know precisely the values of all the properties of a quantum object at the same time: the precise determination of one property implies that the value of some other (complementary) property is undefined. E.g. the precise knowledge of the position of a particle implies that its momentum is undefined. Here we show that a Schrödinger cat has a well defined value of a property that is complementary to its “being dead or alive” property. Then, thanks to complementarity, it has an undefined value of the property “being dead or alive”. In other words, the cat paradox is explained through quantum complementarity: of its many complementary properties, any quantum system, such as a cat, can have a well defined value only of one at a time. Schrödinger’s cat has a definite value of a property which is complementary to “being dead or alive”, so it is neither dead nor alive. Figuratively one can say it is both dead and alive. While this interpretation only uses textbook concepts (the Copenhagen interpretation), apparently it has never explicitly appeared in the literature. We detail how to build an Arduino based simulation of Schrödinger’s experiment based on these concepts for science outreach events.
Visualization of Digital Transformation Initiatives Elements through ArchiMate Viewpoints
Authors: Bogea Gomes Silvia , Santoro Flavia Maria , da Silva Miguel Mira , Iacob Maria-Eugenia 
Published: January 2024

AbstractDigital transformation stems from a mix of personal and corporate IT environments and involves integrating digital technologies and business processes in a digital economy. As such, organizations expect that digital transformation improves performance, increases their reach, and ensures better business results. However, there is still a lack of (i) conceptual models to provide an accurate representation of the digital transformation elements; and (ii) standard visualizations of such elements to specific stakeholders. In a previous work, a reference model to support digital transformation initiatives using ArchiMate was proposed. In this paper, we address the second part of this problem regarding the need for specific visualizations. We followed the Design Science Research approach to learn how to identify the needs of the stakeholders, extending and improving the reference model through the design of a set of architectural viewpoints. We used the well-known ArchiSurance case to demonstrate the application of the viewpoints and semi-structured interviews to evaluate the proposal, providing insights to the discussion of the results obtained.
State-Dependent Maximum Entropy Reinforcement Learning for Robot Long-Horizon Task Learning
Authors: Zheng Deshuai , Yan Jin , Xue Tao , Liu Yong 
Published: January 2024

AbstractTask-oriented robot learning has shown significant potential with the development of Reinforcement Learning (RL) algorithms. However, the learning of long-horizon tasks for robots remains a formidable challenge due to the inherent complexity of tasks, typically comprising multiple diverse stages. Universal RL algorithms commonly encounter issues such as slow convergence or even failure to converge altogether when applied to such tasks. The reasons behind these challenges lie in the local optima trap or redundant exploration during the new stages or the junction of two continuous stages. To address these challenges, we propose a novel state-dependent maximum entropy (SDME) reinforcement learning algorithm. This algorithm effectively balances the trade-off between exploration and exploitation around three kinds of critical states arising from the unique nature of long-horizon tasks. We conducted experiments within an open-source simulation environment, focusing on two representative long-horizon tasks. The proposed SDME algorithm exhibits faster and more stable learning capabilities, requiring merely one-third of the number of learning samples necessary for baseline approaches. Furthermore, we assess the generalization ability of our method under randomly initialized conditions, and the results show that the success rate of the SDME algorithm is nearly twice that of the baselines. Our code will be available at https://github.com/Peter-zds/SDME.
Online Capability Based Task Allocation of Cooperative Manipulators
Authors: Patra Keshab , Sinha Arpita , Guha Anirban 
Published: January 2024

AbstractThe cooperative manipulator group can accomplish complex and heavy payload tasks of object manipulation and transportation compared to a single manipulator. Effective coordination is crucial for cooperative task accomplishments. Multi-manipulator task distribution is highly complex because of the varying dynamic capabilities of the manipulators. We have introduced a novel fastest technique to quantify the dynamic task capability of the cooperative manipulator by scalar quantity and allocate the task accordingly. The scalar quantity determines the capability of applying an external wrench by end effector (EE) in line with the required wrench at the center of mass of the manipulating object. This quantity helps to diminish tracking errors in object manipulations or transportation and actuator saturation avoidance. The task distribution among the members is in proportion to their computed dynamic capability to ensure equal priority to the individual manipulators. The proposed task distribution formulation ensures the minimum magnitude of wrench interaction at the grasp point and the minimum internal wrench build-up in the object. Several physical simulation results assure trajectory tracking performance with the proposed task capability metric. The same metric aids in identifying the least capable manipulator, rearranging members for better performance, and deciding the required number of manipulators in the manipulator group.
Modelling, Analysis, and Control of OmniMorph: an Omnidirectional Morphing Multi-rotor UAV
Authors: Aboudorra Youssef , Gabellieri Chiara , Brantjes Ralph , Sablé Quentin , Franchi Antonio 
Published: January 2024

AbstractThis paper introduces for the first time the design, modelling, and control of a novel morphing multi-rotor Unmanned Aerial Vehicle (UAV) that we call the OmniMorph. The morphing ability allows the selection of the configuration that optimizes energy consumption while ensuring the needed maneuverability for the required task. The most energy-efficient uni-directional thrust (UDT) configuration can be used, e.g., during standard point-to-point displacements. Fully-actuated (FA) and omnidirectional (OD) configurations can be instead used for full pose tracking, such as, e.g., constant attitude horizontal motions and full rotations on the spot, and for full wrench 6D interaction control and 6D disturbance rejection. Morphing is obtained using a single servomotor, allowing possible minimization of weight, costs, and maintenance complexity. The actuation properties are studied, and an optimal controller that compromises between performance and control effort is proposed and validated in realistic simulations. Preliminary tests on the prototype are presented to assess the propellers’ mutual aerodynamic interference.
Thermal dependence on electrical characteristics of Au/(PVC:Sm2O3)/n-Si structure
Authors: Badali Yosef , Altan Hayati , Altındal Semsettin 
Published: January 2024

AbstractIn this study, we investigated the current–voltage (I–V) characteristics of Au/n-Si structure with an interfacial layer of Samarium Oxide (Sm2O3) nanoparticles (NPs) in polyvinyl chloride (PVC) matrix within a temperature range of 80–320 K. Applying the thermionic emission (TE) theory, essential electrical parameters such as reverse saturation current (I0), ideality factor (n), zero bias barrier height (ΦB0), series resistance (Rs), and rectification rate (RR) were carefully derived from the I–V data. The mean values of BH and Richardson constant obtained from the modified Richardson plot were determined to be 0.730 eV and 111.4 A/(cmK)2, respectively. Remarkably, this A* value closely matches its theoretical counterpart for n-type Si. Thus, our findings successfully highlight the effectiveness of the thermionic emission (TE) mechanism with the Gaussian distribution of BHs in explaining the I-V-T characteristics of the fabricated Schottky structure, shedding light on the intricate interplay between temperature and diode behavior. These insights offer valuable guidance for designing and optimizing thermal-sensitive devices based on this innovative structure.
Daily Idea Generation and Employee Creative Performance: Effect of Day-Level Congruence Between Felt Responsibility for Change and Willingness to Take Risks
Authors: Park In-Jo , Choi Jin Nam , Myeong Hwayeon , Hai Shenyang 
Published: January 2024

AbstractThis study explores a potential joint effect between two proactive motives on creative performance. Departing from the assumption of motivation as a relatively stable between-person construct, we also pay attention to the within-person process to examine how daily fluctuations of proactive motives affect daily idea generation, leading to creative performance. Specifically, drawing on job demands–resources theory, we theorize a joint effect of two proactive motives at the within-person level: daily felt responsibility for change (DFRC) and daily willingness to take risks (DWTR). We test our hypotheses by analyzing data collected from 135 employees and their supervisors by using the experience sampling method followed by multiwave field surveys. Daily idea generation is high when the DFRC and DWTR have high congruence, particularly when both motives are high rather than low. In addition, daily idea generation mediates the effect of the DFRC and DWTR congruence on employee creative performance as appraised by supervisors. Moreover, seeking feedback from coworkers strengthens the indirect effect of the DFRC and DWTR congruence on employee creative performance via daily idea generation. This study offers a fine-grained view of motivational mechanisms and employee social behavior that lead to creative performance in the workplace.
Generalized derivatives of optimal-value functions with parameterized convex programs embedded
Authors: Song Yingkai , Barton Paul I. 
Published: January 2024

AbstractThis article proposes new practical methods for furnishing generalized derivative information of optimal-value functions with embedded parameterized convex programs, with potential applications in nonsmooth equation-solving and optimization. We consider three cases of parameterized convex programs: (1) partial convexity—functions in the convex programs are convex with respect to decision variables for fixed values of parameters, (2) joint convexity—the functions are convex with respect to both decision variables and parameters, and (3) linear programs where the parameters appear in the objective function. These new methods calculate an LD-derivative, which is a recently established useful generalized derivative concept, by constructing and solving a sequence of auxiliary linear programs. In the general partial convexity case, our new method requires that the strong Slater conditions are satisfied for the embedded convex program’s decision space, and requires that the convex program has a unique optimal solution. It is shown that these conditions are essentially less stringent than the regularity conditions required by certain established methods, and our new method is at the same time computationally preferable over these methods. In the joint convexity case, the uniqueness requirement of an optimal solution is further relaxed, and to our knowledge, there is no established method for computing generalized derivatives prior to this work. In the linear program case, both the Slater conditions and the uniqueness of an optimal solution are not required by our new method.
Assessing cumulative uncertainties of remote sensing time series and telemetry data in animal-environment studies
Authors: Standfuß Ines , Geiß Christian , Senaratne Hansi , Kerr Grégoire , Nathan Ran , Rotics Shay , Taubenböck Hannes 
Published: January 2024

Abstract
Context
Remote sensing time series (hereafter called time series) and telemetry data are widely used to study animal-environment relationships. However, both data sources are subject to uncertainties that can cause erroneous conclusions. To date, only the uncertainty of telemetry data can be estimated, e.g. through movement modelling, while information on the uncertainty of time series is often lacking. Consequently, it remains challenging to assess if and how the results of animal-environment studies are affected by cumulative uncertainties of telemetry and time series data.

Objectives
To address this gap, we proposed an approach to approximate time series uncertainties. Coupled with movement modelling, this allows to determine whether the results of animal-environment studies are robust to the cumulative uncertainties of time series and telemetry data. We demonstrated the procedure with a study that used time series to distinguish periods of favourable/poor prey accessibility for white storks. Our objective was to test whether the storks’ preference for fields during periods of favourable prey accessibility could be validated despite the uncertainties.

Methods
We estimated the telemetry data uncertainties based on continuous-time movement modelling, and approximated time series uncertainties based on data subsampling. We used Monte Carlo simulations to propagate the uncertainties and to generate several estimates of the stork habitat use and levels of prey accessibility. These data were applied in two habitat selection analyses to derive probability distributions of the analyses results, allowing us to characterise the output uncertainties.

Results
We found that, after accounting for uncertainty, favourable and poor prey accessibility periods were well discriminated, with storks showing the expected degree of preference/avoidance for them. However, our uncertainty analysis also showed, that compared to croplands, grasslands required more temporal NDVI samples to reliably identify these periods. Furthermore, the NDVI itself did not appear to be a coherent predictor of stork habitat selection when uncertainties were accounted for.

Conclusion
Our findings highlight the importance of validating results by assessing and quantifying the effect of input data uncertainties in animal-environment studies. To our knowledge, the approach presented is the first to assess the cumulative uncertainty of time series and telemetry data, hopefully raising awareness of the consequences of input data uncertainties for future studies.
Packing Heat: On the Affective Incorporation of Firearms
Authors: Saarinen Jussi A. 
Published: January 2024

AbstractFor countless citizens in the United States, guns are objects of personal attachment that provide strong feelings of power and security. I argue that a key reason for such tight affective bonds is that, under certain conditions, guns become integrated into their owners’ embodied experience. To flesh out this view, I explain (a) how firearms, as material artifacts, can become a part of the feeling body and (b) how this integration impacts one’s experience of self, others, and the world. I first apply the distinction between body-incorporation and body-extension by De Preester and Tsakiris (Phenomenol Cogn Sci 8:307–319, 2009) to delineate how guns can (and cannot) be integrated into lived bodies. I then introduce Ihde's (Technology and the life world: from garden to earth, Indiana University Press, Bloomington, 1990) notion of embodiment relations to elaborate on the key experiential features of technologically extended bodies and complement the previous, sensorimotor-centric accounts of bodily extension with Colombetti's (Phenomenology for the twenty-first century, Palgrave Macmillan, London, 2016) concept of affective incorporation. With this theoretical framework in place, I proceed to examine the motives and affective dynamics involved in the incorporation of guns, the practices by which this incorporation is constituted, and its impact on gun carriers’ habitual comportment. In doing so, I identify two notable contradictions: first, between a desire for the power afforded by firearms and the lack in oneself that this power implies, and second, between one’s seemingly beneficial feelings of confidence/safety and potentially harmful transformations in one’s perceptions of threat. To conclude, I discuss how my analysis challenges current theorization on technologically extended bodies and consider its relevance for ongoing debates over gun policy.
Can clean energy and technology address environmental sustainability in G7 under the pre-set of human development?
Authors: Ali Shaibu , Khan Khatib Ahmad , Gyamfi Bright Akwasi , Ofori Elvis Kwame , Tetteh Derrick , Shamansurova Zilola 
Published: January 2024

AbstractClimate change presents challenges for both industrialized and developing nations, primarily due to insufficient pollution control. Increased fossil fuel usage escalates pollution levels, emphasizing the need to integrate more renewable energy into the energy mix, particularly to reduce carbon emissions. Consequently, public investment in renewable energy becomes pivotal to enhance the necessary technology for green energy production. Human development and technological progress play a crucial role in advancing green energy and ensuring environmental sustainability. This study addresses whether clean energy and technology can foster ecological sustainability in the G7 while considering human development. Findings emphasize the significance of public investments in renewable energy projects, technical innovation, and human development. Such investments are essential for augmenting renewable energy shares and lowering carbon emissions in the long run. The study proposes relevant policies to help G7 nations achieve United Nations Sustainable Development Goals related to green energy transition (SDG-7), environmental sustainability (SDG-13), and innovation (SDG-9). In essence, prioritizing renewable energy investment and innovation is imperative for sustainable development.
Measurements of thickness of a steel operation pipe occurring in a salt cavern and its geometry: simulations and experiments
Authors: Kubacka Tomasz , Nguyen Dinh Chau 
Published: January 2024

AbstractIn this paper, the attempts of measuring the thickness of a steel operation pipe occurring in the salt cavern and its geometry using an ultrasonic probe in the stage of computer simulation and laboratory are presented. The pipe makes as an obstacle for ultrasonic waves. In order to resolve this task, we need to determine the thickness of the pipe and choose the appropriate resonant ultrasonic wave. Determination of the thickness of the industrial steel pipes was carried out using the resonant frequency of reflected ultrasound waves and the relationship coefficients. The thicknesses of the industrial pipes measured by the resonant ultrasound wave method are in good agreement with those measured using an electronic caliper. Measurements of the cavern geometry with presence of the operation pipe using the resonant frequency of ultrasonic wave were well verified in a physical model and will be able in application to determine the real salt caverns.