We make a detailed study on the typical production channel of double charmoniums, ... at the center-of-mass collision energy ... The key component of the process is the form factor FVP(q2), which has ...been calculated within the QCD light-cone sum rules (LCSR). To improve the accuracy of the derived LCSR, we keep the J/ψ light-cone distribution amplitude up to twist-4 accuracy. Total cross sections for ... at three typical factorization scales are ... respectively. The factorization scale dependence is small, and those predictions are consistent with the BABAR and Belle measurements within errors.(ProQuest: ... denotes formulae omitted.)
Recently the observation of a new pentaquark state, the hidden-charmed strange Pcs(4459)0, was reported by the LHCb Collaboration. The spin-parity quantum numbers of this state were not determined as ...a result of insufficient statistics. To shed light on its quantum numbers, we investigate its decay, Pcs(4459)0 → J/ψΛ, the mode that this state has been observed, within the QCD sum rule framework. We obtain the width of this decay assigning the spin-parity quantum numbers of the Pcs(4459)0 state as JP = 1/2− and its substructure as diquark-diquark-antiquark. To this end, we first calculate the strong coupling constants defining the considered decay and then use them in the width calculations. The obtained width is consistent with the experimental observation, confirming the quantum numbers JP = 1/2− and compact pentaquark nature for the Pcs(4459)0 state.
Political scientists frequently interpret the results of conjoint experiments as reflective of majority preferences. In this article, we show that the target estimand of conjoint experiments, the ...average marginal component effect (AMCE), is not well defined in these terms. Even with individually rational experimental subjects, the AMCE can indicate the opposite of the true preference of the majority. To show this, we characterize the preference aggregation rule implied by the AMCE and demonstrate its several undesirable properties. With this result, we provide a method for placing bounds on the proportion of experimental subjects who prefer a given candidate feature. We describe conditions under which the AMCE corresponds in sign with the majority preference. Finally, we offer a structural interpretation of the AMCE and highlight that the problem we describe persists even when a model of voting is imposed.
This investigation seeks to reconcile the interpretability of artificial intelligence with the imperative of maintaining optimal performance, through the introduction of the IFNN model. This model ...represents a sophisticated iteration of the Fuzzy Neural Network (FNN) paradigm, engineered for enhanced interpretability. At the heart of this innovation lies the application of the Adam optimization algorithm, integrated into a tri-layered architectural construct. This approach is deliberately designed to elevate the models' accuracy across an array of datasets, thereby positioning the IFNN model as an example of an interpretable AI system that does not compromise on precision.
A seminal aspect of this model is its capacity to transmute logical neurons within the intermediary layer into clear fuzzy rules. This transformative process propels the model beyond the confines of traditional AI frameworks, ushering in a new era of transparency in the AI decision-making arena. Such progress is achieved through a meticulous fuzzy rule-based examination, anchored by an exhaustive appraisal of interpretability metrics, including but not limited to sensitivity, completeness, and the analysis of fuzzy rule consequents. These logical neurons, the progenitors of the aforementioned fuzzy rules, endow the model with the ability to engage in deep, interpretable analyses of data.
The IFNN model has been tested through statistical analysis, interpretability assessments, and empirical validation against real-world datasets about sepsis identification, showcasing its unparalleled ability to unlock and articulate the complex knowledge embedded within data. This model represents a significant evolution in AI methodologies, providing a clear window into the rationale underpinning its decisions, achieved through an advanced fuzzy rule-based methodology and a full spectrum of interpretability metrics.
Complex and large software-intensive systems are increasingly present in several application domains, including Industry 4.0, connected health, smart cities, and smart agriculture, to mention a few. ...These systems are commonly composed of diverse other systems often developed by different organizations using various technologies and, as a consequence, interoperability among these systems becomes difficult. Many architectural strategies for interoperability have already been proposed; however, selecting adequate strategies is challenging. Additionally, it lacks an overview of such strategies. This work presents TASIS, a typology of architectural strategies for the interoperability of software-intensive systems. We also validated it with 33 practitioners from different countries with an extensive experience in integration projects. This work also offers 12 industry-based association rules that suggest how to combine those strategies to mitigate issues at different interoperability levels. As a result, our typology can serve as a starting point to further aggregate new strategies and, ultimately, supports software architects in designing interoperability-driven architectural solutions.
•It is a typology with architectural strategies and their levels of interoperability.•The typology was created from evidence in literature and validated and refined it.•We offer strategy combinations proven in integration projects, derived from association rules.•Software architects can use it to select architectural strategies for their projects.
In everyday discourse, and also in the academic literature, the expressions “regulatory interventions” (i.e. interventions intended to regulate behaviours) and “normative interventions” (i.e. ...interventions which set norms/rules) are usually assumed to be synonymous. From this perspective, any regulatory intervention is also normative, and vice versa. This article investigates the relationship between regulation and rules/norms in order to verify whether the “regulatory” and the “normative” aspects are intrinsically and essentially connected, as is usually thought (on the assumption that there is no regulation without rules and no rules without regulation).
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Selecting suitable triboelectric materials for triboelectric nanogenerators (TENGs) with excellent integrated performance at ambient environment remains a challenge. Here, we propose ...a set of universal material’s selection rules for TENGs with comprehensive material’s properties, including surface charge density in low and high relative humidity, moisture resistance rate, and friction coefficient. The influence mechanisms of environmental factors on the output performance of TENG are first revealed. Based on the selection rules, comprehensive selection series are ranked for all types of TENGs with fifteen triboelectric material pairs (cumulative sixty sets of samples). Additionally, two TENG integrated devices are also presented to confirm the generality and feasibility of the selection rules. The moisture resistance rate reaches up to 124% after working in ambient conditions with 95% relative humidity for 36, 000 s. This work provides a significant guideline for triboelectric material’s selection and promotes the practical applications of TENG.
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