bluuebunny/crossref_metadata_2025_split huggingface dataset:
Boolean interpretation, matching, and ranking of natural language queries in product selection systems
Authors: Moulton Matthew , Ng Yiu-Kai 
Published: April 2024

AbstractE-commerce is a massive sector in the US economy, generating $767.7 billion in revenue in 2021. E-commerce sites maximize their revenue by helping customers find, examine, and purchase products. To help users easily find the most relevant products in the database for their individual needs, e-commerce sites are equipped with a product retrieval system. Many of these modern retrieval systems parse user-specified constraints or keywords embedded in a simple natural language query, which is generally easier and faster for the customer to specify their needs than navigating a product specification form, and does not require the seller to design or develop such a form. These natural language product retrieval systems, however, suffer fromlowrelevance in retrieved products, especially forcomplexconstraints specified on products. The reduced accuracy is in part due to under-utilizing the rich semantics of natural language, specifically queries that include Boolean operators, and lacking of the ranking on partially-matched relevant results that could be of interest to the customers. This undesirable effect costs e-commerce vendors to lose sales on their merchandise. In solving this problem, we propose a novel product retrieval system, called$${\textit{QuePR}}$$QuePR, that parses arbitrarily simple and complex natural language queries with(out) Boolean operators, utilizes combinatorial numeric and content-based matching to extract relevant products from a database, and ranks retrieved resultant products by relevance before presenting them to the end-user. The advantages of$${\textit{QuePR}}$$QuePRare its ability to process explicit and implicit Boolean operators in queries, handle natural language queries using similarity measures on partially-matched records, and perform best guess or match on ambiguous or incomplete queries.$${\textit{QuePR}}$$QuePRis unique, easy to use, and scalable to all product categories. To verify the accuracy of$${\textit{QuePR}}$$QuePRin retrieving relevant products on different product domains, we have conducted different performance analyses and compared$${\textit{QuePR}}$$QuePRwith other ranking and retrieval systems. The empirical results verify that$${\textit{QuePR}}$$QuePRoutperforms others while maintaining an optimal runtime speed.
Sequent Calculi for Choice Logics
Authors: Bernreiter Michael , Lolic Anela , Maly Jan , Woltran Stefan 
Published: April 2024

AbstractChoice logics constitute a family of propositional logics and are used for the representation of preferences, with especially qualitative choice logic (QCL) being an established formalism with numerous applications in artificial intelligence. While computational properties and applications of choice logics have been studied in the literature, only few results are known about the proof-theoretic aspects of their use. We propose a sound and complete sequent calculus for preferred model entailment in QCL, where a formula F is entailed by a QCL-theory T if F is true in all preferred models of T. The calculus is based on labeled sequent and refutation calculi, and can be easily adapted for different purposes. For instance, using the calculus as a cornerstone, calculi for other choice logics such as conjunctive choice logic (CCL) and lexicographic choice logic (LCL) can be obtained in a straightforward way.
Simultaneous Thermogravimetry-Differential Scanning Calorimetry (TG-DSC) in Nanoporous Materials: Examples of Data for Zeolites, Metal–Organic Frameworks (MOFs), Clay Based and Mesostructured Solids
Authors: Pires João 
Published: April 2024

AbstractThis article presents and discusses the results of a compilation of experimental results of thermogravimetry with simultaneous differential scanning calorimetry (TG-DSC), obtained in the same apparatus and under similar experimental conditions, for a selection of nanoporous materials with interesting properties as adsorbents and catalysts, namely clays and clay-based materials (such as pillared-clays and porous clays heterostructures), zeolites and related materials (such as titanosilicates), mesostructured silicas and MOFs. Materials functionalized with a relatively common silane, the (3-aminopropyl)triethoxysilane (APTES) were also analyzed and discussed.
Thermal diffusity in copper benzene-1,3,5-tricarboxylate–reduced graphite oxide mechanical composites
Authors: Gál Márton , Andrade Samantha K. Samaniego , Fehér Anna , Farkas Attila , Madarász János , Horváth Lili , Gordon Péter , Kovács Róbert , László Krisztina 
Published: April 2024

AbstractMetal organic frameworks (MOFs) and particularly copper benzene-1,3,5-tricarboxylate (HKUST-1) are excellent materials for gas storage (e.g., CH4, N2, H2 adsorption) and gas separation. In this work, reduced graphene oxide (RGO)–HKUST-1 mechanical mixtures were studied in order to reveal the effect of RGO content on the pressure tolerance of the texture and heat conductivity. HKUST-1 was obtained by two different synthesis routes. Air-dried MOF and RGO were thoroughly mixed prior to the compression. Powder XRD and Raman spectroscopy were used to characterize the response of the crystal structure, while low-temperature nitrogen adsorption was used the follow the adsorption properties of the pellets. Finally, the "flash" heat pulse method was used to assess the thermal properties. The gas adsorption isotherms revealed that the adsorption capacity decreases when RGO is added. Based on Raman and XRD results, we found that the synthesis route has an effect on multiple scales. We experimentally confirmed that evaluation of the thermal diffusivity requires a model more complex than the simple Fourier equation, due to the inherent heterogeneous structure of the material. A good approximation of the Fourier coefficient of thermal diffusivity was obtained using the parameters of the Guyer–Krumhansl equation. The heat pulse experiments also revealed possible size-dependent behavior.
Trish: an efficient activation function for CNN models and analysis of its effectiveness with optimizers in diagnosing glaucoma
Authors: Közkurt Cemil , Diker Aykut , Elen Abdullah , Kılıçarslan Serhat , Dönmez Emrah , Demir Fahrettin Burak 
Published: April 2024

AbstractGlaucoma is an eye disease that spreads over time without showing any symptoms at an early age and can result in vision loss in advanced ages. The most critical issue in this disease is to detect the symptoms of the disease at an early age. Various researches are carried out on machine learning approaches that will provide support to the expert for this diagnosis. The activation function plays a pivotal role in deep learning models, as it introduces nonlinearity, enabling neural networks to learn complex patterns and relationships within data, thus facilitating accurate predictions and effective feature representations. In this study, it is focused on developing an activation function that can be used in CNN architectures using glaucoma disease datasets. The developed function (Trish) was compared with ReLU, LReLU, Mish, Swish, Smish, and Logish activation functions using SGD, Adam, RmsProp, AdaDelta, AdaGrad, Adamax, and Nadam optimizers in CNN architectures. Datasets consisting of retinal fundus images named ACRIMA and HRF were used within the scope of the experiments. These datasets are widely known and currently used in the literature. To strengthen the test validity, the proposed function was also tested on the CIFAR-10 dataset. As a result of the study, 97.22% validation accuracy performance was obtained. It should be stated that the acquired performance value is at a significant level for the detection of glaucoma.
On penalized reload cost path, walk, tour and maximum flow: hardness and approximation
Authors: Granata Donatella 
Published: April 2024

Abstract
A meticulous description of a real network with respect to its heterogeneous physical infrastructure and properties is necessary for network design assessment. Quantifying the costs of making these structures work together effectively, and taking into account any hidden charges they may incur, can lead to improve the quality of service and reduce mandatory maintenance requirements, and mitigate the cost associated with finding a valid solution. For these reasons, we devote our attention to a novel approach to produce a more complete representation of the overall costs on the reload cost network. This approach considers both the cost of reloading due to linking structures and their internal charges, which we refer to as the penalized reload cost. We investigate the complexity and approximability of finding an optimal path, walk, tour, and maximum flow problems under penalized reload cost. All these problems turn out to be NP-complete. We prove that, unless P=NP, even if the reload cost matrix is symmetric and satisfies the triangle inequality, the problem of finding a path, tour, and a maximum flow with a minimum penalized reload cost cannot be approximated within any constant

$$\alpha <2$$

α
<
2

, and finding a walk is not approximable within any factor

$$\beta \le 3$$

β
≤
3

.
Navigating the Science System: Research Integrity and Academic Survival Strategies
Authors: Reyes Elizondo Andrea , Kaltenbrunner Wolfgang 
Published: April 2024

AbstractResearch Integrity (RI) is high on the agenda of both institutions and science policy. The European Union as well as national ministries of science have launched ambitious initiatives to combat misconduct and breaches of research integrity. Often, such initiatives entail attempts to regulate scientific behavior through guidelines that institutions and academic communities can use to more easily identify and deal with cases of misconduct. Rather than framing misconduct as a result of an information deficit, we instead conceptualize Questionable Research Practices (QRPs) as attempts by researchers to reconcile epistemic and social forms of uncertainty in knowledge production. Drawing on previous literature, we define epistemic uncertainty as the inherent intellectual unpredictability of scientific inquiry, while social uncertainty arises from the human-made conditions for scientific work. Our core argument—developed on the basis of 30 focus group interviews with researchers across different fields and European countries—is that breaches of research integrity can be understood as attempts to loosen overly tight coupling between the two forms of uncertainty. Our analytical approach is not meant to relativize or excuse misconduct, but rather to offer a more fine-grained perspective on what exactly it is that researchers want to accomplish by engaging in it. Based on the analysis, we conclude by proposing some concrete ways in which institutions and academic communities could try to reconcile epistemic and social uncertainties on a more collective level, thereby reducing incentives for researchers to engage in misconduct.
The Japanese Breast Cancer Society Clinical Practice Guidelines for Breast Cancer, 2022 Edition: changes from the 2018 edition and general statements on breast cancer treatment
Authors: Yamamoto Yutaka , Yamauchi Chikako , Toyama Tatsuya , Nagai Shigenori , Sakai Takehiko , Kutomi Goro , Yoshimura Michio , Kawai Masaaki , Ohtani Shoichiro , Kubota Kazunori , Nakashima Kazutaka , Honma Naoko , Yoshida Masayuki , Tokunaga Eriko , Taira Naruto , Iwata Hiroji , Saji Shigehira 
Published: April 2024

AbstractThe Japanese Breast Cancer Society Clinical Practice Guidelines for Breast Cancer, 2022 Edition was published in June 2022. The guidelines were prepared while conforming as much as possible to the “Minds Manual for Guideline Development 2020 ver. 3.0.” edited by the Minds Manual Development Committee of the Japan Council for Quality Health Care in 2021. In addition, a survey of Japanese Breast Cancer Society members on the 2018 edition of the guidelines was conducted from February 19 to March 4, 2021. Based on the responses from over 600 members, original innovations were made to make the guidelines more user-friendly. The 2018 edition of the guidelines was developed to provide support tools for physicians and patients to utilize shared decision-making. The 2022 guidelines consist of two volumes: (1) an “Epidemiology and Diagnosis” section covering “Screening and Diagnosis”, “Radiological diagnosis”, and “Pathological diagnosis”, and (2) a “Treatment” section covering “Surgical therapy”, “Radiation therapy”, and “Systemic therapy”. We believe that this concise summary of the guidelines will be useful to physicians and researchers in Japan and overseas.
Optimal Parameter Estimation Techniques for Complex Nonlinear Systems
Authors: Kumar Kaushal , Kostina Ekaterina 
Published: April 2024

AbstractAccurate parameter estimation and state identification within nonlinear systems are fundamental challenges addressed by optimization techniques. This paper fills a critical gap in previous research by investigating tailored optimization methods for parameter estimation in nonlinear system modeling, with a particular emphasis on chaotic dynamical systems. We introduce and compare three optimization methods: a gradient-based iterative algorithm, the Levenberg-Marquardt algorithm, and the Nelder-Mead simplex method. These methods are strategically employed to simplify complex nonlinear optimization problems, rendering them more manageable. Through a comprehensive exploration of the performance of these methods in determining parameters across diverse systems, including the van der Pol oscillator, the Rössler system, and pharmacokinetic modeling, our study revealed that the accuracy and reliability of the Nelder-Mead simplex method were consistent. The Nelder-Mead simplex algorithm emerged as a powerful tool, that consistently outperforms alternative methods in terms of root mean squared error (RMSE) and convergence reliability. Visualizations of trajectory comparisons and parameter convergence under various noise levels further emphasize the algorithm’s robustness. These studies suggest that the Nelder-Mead simplex method has potential as a valuable tool for parameter estimation in chaotic dynamical systems. Our study’s implications extend beyond theoretical considerations, offering promising insights for parameter estimation techniques in diverse scientific fields reliant on nonlinear system modeling.
Effect of fatigue load on the bending tribo-corrosion-fatigue behaviors between the main cable wires
Authors: Wang Bo , Wang Dagang , Ye Jihong , Tang Liang , Chong Hailang , Xu Wei , Zhang Xinxin , Chen Jianhao , Deng Haiyan , Zhang Jie , Yao Guowen , Wahab Magd Abdel 
Published: April 2024

AbstractThe main cable bent around the saddle of the suspension bridge is subjected to the wind, the vehicle, the bridge’s own weight and the corrosive media. The coupling of the three loads and the environments causes the friction, the corrosion, and the fatigue (tribo-corrosion-fatigue) among the wires inside the main cable. In this paper, a wire bending tribo-corrosion-fatigue test rig was designed and developed. The effect of fatigue load on the bending friction behaviors between the cable wires in ultrapure water and 3.5% NaCl solution was explored. The tribological properties and electrochemical corrosion behaviors under different fatigue loading ranges were investigated. The tribo-corrosion-fatigue interaction between the cable wires was quantitatively characterized, and the mechanism of the interaction was analyzed. The results demonstrate that the increasing fatigue load exacerbates the coupling damage of the cable wires attributed to the enhanced interaction. The findings carry theoretical importance when assessing the main cable’s deterioration and the load-bearing safety of a suspension bridge.
The Council of Europe and the Catalan Secessionist Process: The Authoritarian Drift of the Radical Democratic Principle
Authors: Torroja Helena 
Published: April 2024

AbstractThis study shines a light on the problem of Catalan secessionist leaders’ abuse of the term “democracy”, an issue rarely discussed in the academic debate. The Catalan secessionist case has mainly been studied as a problem concerning the principle of territorial integrity and how it relates to the existence (or otherwise) of a right of self-determination for a substate entity. However, it is also a problem of democracy. For the entire secessionist process was based on a democratic principle outside and against the Spanish Constitution: one that defends the supremacy and inviolability of the (regional, in this case) parliamentary majority over the rule of law and respect for minority rights. It thus pitted a radical or identity-based democracy against the democracy protected and promoted by the Council of Europe (in which the rule of law, human rights and democracy are inseparable principles forming a single whole). The Venice Commission, the European Court of Human Rights and a divided Parliamentary Assembly have all witnessed this defence of authoritarianism through the radical democratic principle advocated by the leaders of the Catalan process. In response, the first two have defended constitutional democracy, the common heritage on which European public order is based. In 2021, the PACE took a short-lived position (it has adopted no further resolutions in this sense), buoyed by a weak majority, in favour of the Catalan radical democratic principle. Two years later, however, it, too, would defend constitutional democracy as the “genuine democracy” to which the 1949 Treaty of London refers, albeit again by a slim majority. The study concludes that there is no place for the radical democratic principle in Council of Europe law.
Multi3D: 3D-aware multimodal image synthesis
Authors: Zhou Wenyang , Yuan Lu , Mu Taijiang 
Published: April 2024

Abstract3D-aware image synthesis has attained high quality and robust 3D consistency. Existing 3D controllable generative models are designed to synthesize 3D-aware images through a single modality, such as 2D segmentation or sketches, but lack the ability to finely control generated content, such as texture and age. In pursuit of enhancing user-guided controllability, we propose Multi3D, a 3D-aware controllable image synthesis model that supports multi-modal input. Our model can govern the geometry of the generated image using a 2D label map, such as a segmentation or sketch map, while concurrently regulating the appearance of the generated image through a textual description. To demonstrate the effectiveness of our method, we have conducted experiments on multiple datasets, including CelebAMask-HQ, AFHQ-cat, and shapenet-car. Qualitative and quantitative evaluations show that our method outperforms existing state-of-the-art methods.
The School Assemblage and Persistent School Absence – Analyses of Students in Pursuit of Viable Lives
Authors: Knage Frederikke Skaaning , Søndergaard Dorte Marie 
Published: April 2024

AbstractIn this article, we seek to gain knowledge about the phenomenon of persistent school absence. Situations where a student is absent from school for long periods are often characterized by high levels of frustration among adults and a tendency to blame either the school or the parents. However, in contrast to most research in school absence, we do not ask why some students become persistently absent from school. Rather, we take up the Deleuzo-Guattarian concept of the assemblage and their concept of lines of flight (Deleuze and Guattari A thousand plateaus: Capitalism and schizophrenia, 1987) to analyze the school as an assemblage and how it works as an arrangement of elements and movements to ensure that children’s bodies can be found on the school premises during certain hours of the day. We then analyze and discuss the processes set in motion when students start to flee the assemblage by staying home, gradually enabling the persistent school absence assemblage to emerge and territorialize. Finally, based on Puig de la Bellacasa’s (de la Puig Matters of Care: Speculative Ethics in More than Human Worlds, 2017) conceptualization of care, we discuss how the school assemblage might succeed in recruiting the persistently absent students if it generated more care.
Hospitalization and help-seeking among first episode psychosis patients
Authors: Yee Anna , Greene Sarah , Weiss Ashley , Chaudhry Serena , Steadman Spencer 
Published: April 2024

Abstract
Purpose
To examine hospitalization as part of a complex pathway to care in first episode psychosis (FEP), exploring help-seeking episodes (HSE) and their relationship to hospitalization.

Methods
Data from 66 patients at the Early Psychosis Intervention Clinic New Orleans (EPIC-NOLA), a coordinated specialty care (CSC) clinic, was obtained from Pathways to Care (PTC) assessments, which documents elements of help seeking. A chart review was performed identifying hospitalizations.

Results
Most patients were hospitalized multiple times (n = 37, M = 2.98, SD = 2.14). On average, patients had more hospitalizations prior to starting treatment at EPIC-NOLA (M = 1.72, SD = 1.35) than after (M = 1.27, SD = 1.79). Patients whose first HSE resulted in intake at EPIC-NOLA were significantly less likely to be hospitalized after intake than patients with multiple HSE (F(1,52.3) = 12.9, p < .001). There was a significant correlation (N = 42) between HSE and hospitalizations after intake (τb = .327 p < .05); patients seeking help more often were more likely to be hospitalized after intake. No significant correlations were found between duration of untreated psychosis (DUP) and hospitalization.

Conclusion
While results are correlational, several key relationships were noted. Fewer hospitalizations occurred after intake into EPIC-NOLA. Starting treatment after the first HSE was related to fewer future hospitalizations, compared to intake after multiple HSEs. Intake into a CSC clinic after a single HSE may reduce hospitalization. Additionally, increased HSE, not DUP, impacted patients' likelihood of hospitalization. This prompts treatment engagement during a first HSE to reduce hospitalization.
Bifurcation of Multiple Periodic Solutions for a Class of Nonlinear Dynamical Systems in $$(m+4)$$-Dimension
Authors: Quan Tingting , Li Jing , Sun Min , Chen Yongqiang 
Published: April 2024

Abstract
In this paper, we introduce a curvilinear coordinate transformation to study the bifurcation of periodic solutions from a 2-degree-of-freedom Hamiltonian system, when it is perturbed in

$${\textbf{R}}^{m+4}$$

R

m
+
4

, where m represents any positive integer. The extended Melnikov function is obtained by constructing a Poincaré map on the curvilinear coordinate frame of the trajectory of the unperturbed system. Then the criteria for bifurcation of periodic solutions of these Hamiltonian systems under isochronous and non-isochronous conditions are obtained. As for its application, we study the number of periodic solutions of a composite piezoelectric cantilever rectangular plate system whose averaged equation can be transformed into a

$$(2+4)$$

(
2
+
4
)

-dimensional dynamical system. Furthermore, under the two resonance conditions of 1:1 and 1:2, we obtain the periodic solution numbers of this system with the variation of parametric excitation coefficient

$$p_1.$$

p
1

.