bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electronic Bio-Reconfigurable Impedance Platform for High Sensitivity Detection of Target Analytes
Authors: Piedimonte Paola 
Published: March 2024

AbstractThe present research presents a portable bioelectronic platform for multiplex detection to read biosensor chips with several sensing sites for real-time analyte capture. The technique is based on Differential Impedance Sensing (DIS) of the target through functionalized nanoparticle amplification. Gold-interdigitated microelectrodes are the core of the biosensing system. They are designed in a differential configuration, reference and active sensor, to counteract all possible mismatches such as temperature fluctuations and variations in the ion content of the solution. The surface of the sensor is biochemically functionalized with a synthetic probe specifically developed for the selected target. The successful combination of all of these elements allowed the system to detect IgG antibodies spiked in buffer with a limit of detection of below 100 pg/mL. In a real case study for viral infection diagnosis, the system has been challenged with infected human serum samples for digital counts of anti-dengue virus antibodies, achieving the detection of clinically relevant target concentrations. Also, the bio-reconfigurability of the system has been successfully tested with oligonucleotide detection down to pM target concentration. To allow the portability of the entire measurement setup, the setup has been equipped with a custom electronic board based on an FPGA module allowing a multiplexing approach for the parallel reading of several electrodes. The final system provides simple and effective bio-reconfigurability, exploiting advances in bio-recognition through proper probe selection and boosting the possible use of multiplex sensing to a broad spectrum of needs.
Model Predictive Control for Constrained Navigation of Autonomous Vehicles
Authors: Saccani Danilo 
Published: March 2024

AbstractAs autonomous vehicles become increasingly prevalent in our daily lives, new control challenges arise to ensure their safety and the safety of their surroundings. This work addresses these challenges by developing a suitable regulator that strikes a balance between different objectives. The first one is ‘safety’, which involves satisfying constraints and consistently avoiding obstacles. The second objective is ‘exploitation’, which aims to optimize the utilization of existing knowledge about the environment, reducing the overly cautious behaviour of guaranteed collision-free approaches. The third objective is ‘exploration’, which pertains to the ability to discover potential unknown areas while avoiding getting stuck in blocked regions. The design of motion planning algorithms for such systems requires carefully managing the trade-off between these requirements. Among the various approaches to dynamic path planning, discrete optimization methods such as Model Predictive Control (MPC) have gained significant attention. MPC excels in handling state and input constraints to ensure safety while minimizing a cost function defined by the user, enabling both exploitation and exploration aspects. By developing a suitable regulator and leveraging MPC approaches, this work aims to address the complex control challenges faced by autonomous vehicles and other safety-critical applications, ensuring a balance between safety, exploitation, and exploration.
Holistic Wisdom Education: Towards Transformational Creativity
Authors: Kallio Eeva K. , Mononen Laura , Ek Terhi 
Published: March 2024

AbstractWe suggest that holistic education and pedagogy, which are grounded in a philosophical holistic view of human nature, would be important in the current era for the development of transformative creativity at all levels of education. We base our holistic view of human nature on the model of the philosopher Lauri Rauhala. Holistic pedagogy refers here to an approach where multimodal perspectives that include emotional, volitional, cognitive, ethical, and physical education, are brought together. It is furthermore theorized that wisdom and creativity are closely related phenomena, and as part of holistic pedagogy, they may create possibilities for innovations and new understandings. Wisdom is understood here as progress toward an ethical common good of action and creativity is defined as the ability to produce something novel that is also applied in practice. When holistic pedagogies include also integrative thinking, which enables synthesizing inner and outer realities, different logical systems and mental modes, they have the possibility to support transformative creativity, which is the ability to benefit both self and the environment (social, cultural and physical) in a purposeful way. For supporting our theocratization, we present examples of two kinds of holistic education practices in formal and informal education, as well as in children and adults that could provide a sustainable approach to support growth. Firstly, we give an initial example of a qualitative empirical study of practical wisdom of pre-schoolers in the forest environment. The study found that when asked about children’s ability to learn wisdom, the teachers reported contents of creative thinking and acting. Secondly, we suggest that in adults’ self-education such as in the model of Positive Disintegration by Kazimierz Dąbrowski well as others could be possible fruitful way to enhance wise, and creative competencies. We conclude that different forms of holistic education can be planted, and they have the ability to support transformative creativity, which is essential for countering the challenges of socio-emotional sphere, as well as in ethical decision-making and acting for common human well-being.
On the Availability and Quality of Data in Spain for the Development of Indicators to Measure Building Renovation Policies Effectiveness and the Decarbonization of the Building Stock
Authors: Gómez-Gil Marta , Arbulu Markel , Hernández-Minguillón Rufino J. , López-Mesa Belinda 
Published: March 2024

AbstractIt is crucial to achieve long-term decarbonization goals in the building sector by relying building renovation policies on well-founded evidence based on indicators regarding the current state of the building stock, decarbonization requirements and potential, feasibility of solutions, possible failures, risks, and other relevant factors. To develop such indicators, it is necessary to have data of good quality. This chapter analyzes the availability of data in Spain and its quality to develop indicators to assess the effectiveness of building renovation policies and the progress of decarbonization. With this objective, the developability of a set of indicators was analyzed regarding their availability, processing method and data processability, and the data source quality was assessed regarding data processability, georeferencing, and data update frequency. The results show pronounced challenges related to data availability in indicators concerning deep renovation of buildings and policies for mobilizing investments into building renovation. The diversity in data processing methods, with 42% indicators directly processable and 58% requiring indirect methods, underscores the complexity in obtaining and manipulating data. Additionally, the limited georeferencing (9%) and insufficient update frequencies (54% with update frequencies of more than five years) highlight areas for improvement.
Indicators and Data in Spain for an Overview of the General Characteristics of the National Building Stock
Authors: Gómez-Gil Marta , Etxebarria-Mallea Matxalen , Arbulu Markel , Oregi Xabat , Espinosa-Fernández Almudena , Monzón-Chavarrías Marta 
Published: March 2024

AbstractA country or a city is largely characterized by its architecture and urbanism. A robust understanding of the characteristics of the existing building stock provides a more solid basis for the development of European or national policies. In this chapter, we propose indicators to measure the general characteristics of the buildings at the national and regional levels, using as case studies Spain and two of its regions, Aragon and the Basque Country. Given there is no official definition of what the general characteristics of a building are, in this chapter we propose the general characteristics of a building whose knowledge can allow to lay the foundations for its improvement. We also studied the sources of information available in Spain and in the two mentioned regions for the development of these indicators and developed them when there were available data. Out of the fourteen proposed indicators, five could be fully developed, eight were partially developed, and one could not be developed due to lack of data.
Indicators and Data in Spain for an Overview of the Energy Characteristics of the National Building Stock
Authors: Gómez-Gil Marta , Espinosa-Fernández Almudena , López-Mesa Belinda , Monzón-Chavarrías Marta 
Published: March 2024

AbstractThe decarbonization objectives outlined by Europe, coupled with the aging of existing buildings, underscore the importance of evaluating the evolution of energy characteristics of the building stock at both national and regional levels. To facilitate this evaluation in Spain, along with its regions Aragon and the Basque Country, a set of indicators is suggested in this chapter. These indicators aim to offer insights into the evolution of annual final energy consumption by building type and per end use. Additionally, the Energy Performance Certificates (EPCs) are put forth as valuable indicators, with a focus on the number and energy class derived from these certificates. In the case of the former indicators, Spain benefits from both national and regional data sources, although enhancements are possible through improved data processing techniques and the extraction of information based on building characteristics. As for EPCs, it is recommended that the information provided by regions undergo a standardization process to ensure a more comprehensive development of the indicators. Furthermore, an additional proposed indicator involves the measurement of the quantity and surface area of nearly zero-energy buildings (nZEB). Unfortunately, the current lack of national or regional sources hampers the development of this particular indicator.
Relations Between Democracy and Parties
Authors: Fink-Hafner Danica 
Published: March 2024

AbstractA variety of relationships between parties and democracy is summarized on the basis of political philosophy and political science literature. It is found that parties: (1) are not explicitly mentioned in relation to democracy, (2) are positioned at various points in time in relation to democracy (with a lack of clarity as to which comes first); (3) play positive roles in relation to democracy; (4) play negative roles in relation to democracy; (5) play ambiguous roles in relation to democracy; and (6) are redundant (that is, democracy exists without parties). Many factors affecting democracy, besides political parties, are presented.
Party System Characteristics and Challenges to Democracy
Authors: Fink-Hafner Danica 
Published: March 2024

AbstractIn the literature, several theses can be found on the relationship between the characteristics of party systems and democracy. Particular attention is paid to those party system characteristics that are believed to have negative impacts on democracy. These are the deinstitutionalization and the polarization of the party system; the findings on the impact of party system fragmentation are inconclusive. Since the characteristics of parties may influence the characteristics of party systems, these are also taken into account. Brief overviews of the indicators of fragmentation, institutionalization and polarization are presented. The chapter concludes with a section on the role of a broader set of actors, particularly party supporters, citizens and civil society, in relation to democracy.
Tracing Changes in Parties, Party Systems, Context and Democracy
Authors: Fink-Hafner Danica 
Published: March 2024

AbstractParties, party systems, context and democracy are all dynamic phenomena. This is why, in research into their mutual relationships, it is important to create a methodology that includes the relevant variables, their indicators and the time factor. This chapter contains an overview in several sections of how to trace changes in democracy, context, parties and party systems. Case studies, which offer an opportunity for a longitudinal study of these changes in a stable institutional setting, may be valuable contributions to theoretical developments in the understanding of the relationships between parties and democracy. Slovenia is such a case and is also theoretically interesting as the trajectory of democracy in Slovenia is different from that in the rest of the post-socialist region.
Fluidity of Slovenia’s Democracy in a Changing Context
Authors: Fink-Hafner Danica 
Published: March 2024

AbstractThe V-Dem data for Slovenia reveal three main periods with distinct evaluations of democracy: (1) a transitional low evaluation, (2) a rather high and constant evaluation of democracy in the period just after the adoption of the new constitution (1991) and before the COVID-19 crisis and (3) a radical decline in democracy (2020–2021). The analysis of the contextual factors points to the circumstances that produced major dissatisfaction among the citizens with parties and party government. The most visible factors were: a radical worsening of the economy, a rise in social inequalities (considered by the citizens as unjust), external factors enhancing these economic and socio-economic trends (the EU’s neoliberal orientation since 2004, and the international financial crisis and its management within the Eurozone), an international trend towards autocracy, multiplying international crises and an international trend towards managing the COVID-19 crisis by limiting the usual democratic functioning.
Celestial self-dual Yang-Mills theory: a new formula and the OPE limit
Authors: Chattopadhyay Pratik , Tao Yi-Xiao 
Published: March 2024

Abstract
Celestial holography is a new way to understand flat-space amplitudes. Self-dual theories, due to their nice properties, are good subjects to study celestial holography. In this paper, we developed a new formula to calculate the celestial color-ordered self-dual Yang-Mills amplitudes based on celestial Berends-Giele currents, which makes the leading OPE limit manifest. In addition, we explore some higher-order terms of OPE in the celestial self-dual Yang-Mills theory.
Null Hamiltonian Yang–Mills theory: Soft Symmetries and Memory as Superselection
Authors: Riello A. , Schiavina M. 
Published: March 2024

Abstract
Soft symmetries for Yang–Mills theory are shown to correspond to the residual Hamiltonian action of the gauge group on the Ashtekar–Streubel phase space, which is the result of a partial symplectic reduction. The associated momentum map is the electromagnetic memory in the Abelian theory, or a nonlinear, gauge-equivariant, generalisation thereof in the non-Abelian case. This result follows from an application of Hamiltonian reduction by stages, enabled by the existence of a natural normal subgroup of the gauge group on a null codimension-1 submanifold with boundaries. The first stage is coisotropic reduction of the Gauss constraint, and it yields a symplectic extension of the Ashtekar–Streubel phase space (up to a covering). Hamiltonian reduction of the residual gauge action leads to the fully reduced phase space of the theory. This is a Poisson manifold, whose symplectic leaves, called superselection sectors, are labelled by the (gauge classes of the generalised) electric flux across the boundary. In this framework, the Ashtekar–Streubel phase space arises as an intermediate reduction stage that enforces the superselection of the electric flux at only one of the two boundary components. These results provide a natural, purely Hamiltonian, explanation of the existence of soft symmetries as a byproduct of partial symplectic reduction, as well as a motivation for the expected decomposition of the quantum Hilbert space of states into irreducible representations labelled by the Casimirs of the Poisson structure on the reduced phase space.
Instability of Electroweak Homogeneous Vacua in Strong Magnetic Fields
Authors: Gardner Adam , Sigal Israel Michael 
Published: March 2024

AbstractWe consider the classical vacua of the Weinberg–Salam (WS) model of electroweak forces. These are no-particle, static solutions to the WS equations minimizing the WS energy locally. We study the WS vacuum solutions exhibiting a non-vanishing average magnetic field of strength b and prove that (i) there is a magnetic field threshold $$b_*$$

b

∗

such that for $$b<b_*$$

b
<

b

∗

, the vacua are translationally invariant (and the magnetic field is constant), while, for $$b>b_*$$

b
>

b

∗

, they are not, (ii) for $$b>b_*$$

b
>

b

∗

, there are non-translationally invariant solutions with lower energy per unit volume and with the discrete translational symmetry of a 2D lattice in the plane transversal to b, and (iii) the lattice minimizing the energy per unit volume approaches the hexagonal one as the magnetic field strength approaches the threshold $$b_*$$

b

∗

. In the absence of particles, the Weinberg–Salam model reduces to the Yang–Mills–Higgs (YMH) equations for the gauge group U(2). Thus, our results can be rephrased as the corresponding statements about the U(2)-YMH equations.
Unveiling synergistic QTLs associated with slow wilting in soybean (Glycine max [L.] Merr.)
Authors: Kwon Hakyung , Kim Moon Young , Yang Xuefei , Lee Suk-Ha 
Published: March 2024

Abstract
Key message
A stable QTL qSW_Gm10 works with a novel locus, qSW_Gm01, in a synergistic manner for controlling slow-wilting traits at the early vegetative stage under drought stress in soybean.

Abstract
Drought is one of the major environmental factors which limits soybean yield. Slow wilting is a promising trait that can enhance drought resilience in soybean without additional production costs. Recently, a Korean soybean cultivar SS2-2 was reported to exhibit slow wilting at the early vegetative stages. To find genetic loci responsible for slow wilting, in this study, quantitative trait loci (QTL) analysis was conducted using a recombinant inbred line (RIL) population derived from crossing between Taekwangkong (fast-wilting) and SS2-2 (slow-wilting). Wilting score and leaf moisture content were evaluated at the early vegetative stages for three years. Using the ICIM-MET module, a novel QTL on Chr01, qSW_Gm01 was identified, together with a previously known QTL, qSW_Gm10. These two QTLs were found to work synergistically for slow wilting of the RILs under the water-restricted condition. Furthermore, the SNP markers from the SoySNP50K dataset, located within these QTLs, were associated with the wilting phenotype in 30 diverse soybean accessions. Two genes encoding protein kinase 1b and multidrug resistance-associated protein 4 were proposed as candidate genes for qSW_Gm01 and qSW_Gm10, respectively, based on a comprehensive examination of sequence variation and gene expression differences in the parental lines under drought conditions. These genes may play a role in slow wilting by optimally regulating stomatal aperture. Our findings provide promising genetic resources for improving drought resilience in soybean and give valuable insights into the genetic mechanisms governing slow wilting.
The revised Psychosis Attachment Measure: further psychometric evidence
Authors: Justo-Nunez Miranda , Morris Lydia , Berry Katherine 
Published: March 2024

Abstract
Purpose
Disorganised attachment is a key concept in understanding the development of psychosis. However, existing questionnaires of adult attachment do not adequately measure this construct hindering future research into the psychosocial causes of psychosis. The most widely measure of adult attachment in people experiencing psychosis is the Psychosis Attachment Measure (PAM). The measure has recently been revised to include disorganised attachment items. This study develops previous research by providing a rigorous examination the psychometric properties of the revised questionnaire (PAM-R).

Methods
A total of 407 participants with self-reported experiences of psychosis completed a battery of questionnaires which included the PAM-R and other measures which were conceptually related to the concept of disorganised attachment.

Results
Confirmatory factor analysis (CFA) indicated a three-factor solution with factors corresponding to anxious, avoidant, and disorganised attachment. The majority of the fit statistics were acceptable with the exception of the RMSEA statistic. Internal consistency and test–retest reliability were good for all subscales. The disorganised subscale correlated in expected directions with other measures of attachment, dissociation, trauma, and psychotic experiences.

Conclusion
The PAM-R is a valid and reliable measure of adult attachment. It is a practical assessment tool for clinicians and researchers to measure insecure and disorganised attachment patterns that is acceptable to people experiencing psychosis.
Point cloud registration with quantile assignment
Authors: Oğuz Ecenur , Doğan Yalım , Güdükbay Uğur , Karaşan Oya , Pınar Mustafa 
Published: March 2024

AbstractPoint cloud registration is a fundamental problem in computer vision. The problem encompasses critical tasks such as feature estimation, correspondence matching, and transformation estimation. The point cloud registration problem can be cast as a quantile matching problem. We refined the quantile assignment algorithm by integrating prevalent feature descriptors and transformation estimation methods to enhance the correspondence between the source and target point clouds. We evaluated the performances of these descriptors and methods with our approach through controlled experiments on a dataset we constructed using well-known 3D models. This systematic investigation led us to identify the most suitable methods for complementing our approach. Subsequently, we devised a new end-to-end, coarse-to-fine pairwise point cloud registration framework. Finally, we tested our framework on indoor and outdoor benchmark datasets and compared our results with state-of-the-art point cloud registration methods.