Search Results (32)

The permanent magnet synchronous motor (PMSM) is extensively utilized in the power drive systems of Cyber–Physical Systems (CPSs). In scenarios where control signals are subjected to malicious attacks within the network, ensuring that the PMSM achieves its designated speed within a specified timeframe serves as a critical metric for evaluating the efficacy of security control strategies in networked systems. To address practical challenges arising from updates to controlled objects at the physical layer and limitations of control layer algorithms—wherein convergence time for system trajectory tracking errors (TTEors) may extend indefinitely—we have developed a novel resilient control algorithm with predefined-time convergence (PreTC) tailored for uncertain PMSMs susceptible to cyber threats. Firstly, we introduce an innovative Lyapunov stability criterion characterized by an adjustable gain reaching law alongside PreTC. Following this, we design an SMS (SMS) that incorporates PreTC and employ an extreme learning machine (ELM) to facilitate real-time identification of both physical layer models and malicious cyber-attacks. A sliding-mode adaptive resilient controller devoid of explicit physical model information is proposed for CPSs, with Lyapunov stability theory substantiating the system’s predefined-time (PDT) stability. This significantly enhances resilience against malicious cyber-attacks and other uncertainties. Finally, comparative simulations involving four distinct resilient control algorithms demonstrate that our proposed algorithm not only guarantees predetermined convergence times but also exhibits robust resistance to cyber-attacks, parameter perturbations, and external disturbances—notably achieving a motor speed tracking error accuracy of 0.008. These findings validate the superior robustness and effectiveness of our control algorithm against malicious cyber threats. Full article

Introduction: Suppressive antibiotic therapy (SAT) is a therapeutic alternative for complex infections where a cure is considered unlikely or impossible. SAT involves the prolonged, often indefinite, administration of antibiotics, typically given orally, to control symptoms. However, the increasing incidence of multidrug-resistant microorganisms limits the availability of oral options. Dalbavancin is a parenteral antibiotic with broad coverage against Gram-positive bacteria that offers the advantage of an extended dosing interval. The aim of this study was to describe the characteristics and clinical outcomes of patients with implant-associated osteoarticular infections receiving dalbavancin as SAT. A secondary objective was to identify factors associated with SAT failure with dalbavancin. Materials and Methods: We conducted a multicentre, observational study with retrospective recruitment of patients treated with dalbavancin as (SAT) for complex implant-associated osteoarticular infections, in which curative surgery was either not feasible or insufficient. Cohort characteristics were described, and variables associated with SAT failure under dalbavancin treatment were analysed. Results: A total of 43 patients received dalbavancin as SAT. The most frequent indication was prosthetic joint infection (38 [88.4%]). A total of 28 patients (65.1%) had chronic infections; the remaining cases were acute infections that had failed conservative management. Nine different dosing regimens of dalbavancin were used. Dalbavancin provided adequate symptomatic control in 32 patients (74.4%) over a follow-up period of 836.5 days (IQR 402–1288.5). The antibiotic was well tolerated; only one adverse effect was reported in a patient. Three patients developed resistance during treatment, which accounted for SAT failure. Conclusions: Dalbavancin is shown to be a safe and convenient alternative for SAT for orthopaedic implant infection. Although the development of resistance was infrequent, it can occur and should be monitored. Full article

Background/Objectives: Dilated cardiomyopathy (DCM), defined as dilation and contractile dysfunction of the left or both cardiac ventricles, remains the most common category of primary myocardial disease worldwide. It is the most prevalent cause of chronic heart failure and the most common indication for cardiac transplantation in young subjects. Accumulating evidence increasingly highlights the substantial genetic defects underlying DCM. Nevertheless, the genetic ingredients accountable for DCM in a major percentage of patients remain indefinite. Methods: A multigenerational pedigree suffering from DCM and a total of 276 healthy volunteers employed as controls were recruited from the Chinese Han-ethnicity population. A whole-exome sequencing (WES) assay followed by a Sanger sequencing analysis of the genomic DNAs from the available family members was implemented. Functional characterization of the identified genetic variant was completed by dual-luciferase analysis. Results: A new heterozygous variation in the ETS1 (erythroblast transformation-specific 1) gene, NM_005238.4:c.447T>G;p.(Tyr149*), was identified by WES and validated by Sanger sequencing analysis to co-segregate with DCM in the whole DCM family. This nonsense ETS1 variant was not found in 276 control subjects. Functional examination elucidated that Tyr149*-mutant ETS1 lost the ability to transactivate its downstream target genes CLDN5 (claudin 5) and ALK1 (activin receptor-like kinase 1), two genes crucial for cardiovascular embryonic development and postnatal structural remodeling. Conclusions: The present investigation reveals ETS1 as a new gene predisposed to human DCM and indicates ETS1 haploinsufficiency as an alternative molecular pathogenesis underlying DCM, providing a potential molecular target for genetic counseling and early diagnosis as well as personalized prophylaxis of DCM. Full article

Differential Object Marking (DOM) is a cross-linguistic phenomenon in which the overt marking of direct objects of certain transitive verbs exhibits distinct morpho-syntactic properties. In Turkish, DOM is realized by the accusative suffix -(y)I and is considered to be determined by parameters such as referentiality/specificity, affectedness, and topicality. In addition, Enç argues that discourse-linking, which is a backward-looking discourse function, is another relevant parameter. In this paper, we investigate whether DOM also serves a forward-looking discourse function, which has remained underexplored. Using corpus studies and offline experiments, we investigate the forward discourse function of DOM in Turkish by analyzing the frequency of anaphoric expressions referring to the direct object with vs. without DOM. Corpus data show that non-modified human indefinite direct objects with DOM are taken up significantly more often in the subsequent discourse than those without DOM. However, forced-choice and paragraph continuation tasks do not support these observations. We evaluate various parameters that might contribute to the discourse prominence of direct objects with DOM and those that might mask such effects. We conclude that there is some corpus evidence that DOM contributes to a forward-looking discourse function, though our experimental methods may be inadequate to capture it. Full article

This paper presents a first typology of negative indefinites in Bantu languages. The lack of interest in expressions of ‘nobody’ in Bantu languages is connected with the idea that they merely involve a generic noun for ‘person’ and main clause negation. Our study, based on a dataset of 85 Bantu languages, shows that exponents of ‘nobody’ can be quite diverse, either resembling exponents of ‘somebody’ or differing from them through the use of pragmatically strong modifiers like scalar additive operators or explicit quantifiers like the numeral ‘one’. We also look at the constructions in which exponents of ‘nobody’ occur and observe that next to canonical SVO constructions, two construction types are used which are known to express information structure in Bantu languages: inversion constructions and existential cleft constructions. Inversion constructions are shown to be especially frequent with intransitive clauses but we also find object inversion for either ‘somebody’ or ‘nobody’ but not for both in the same language. Existential cleft constructions, on the other hand, are shown to be especially frequent with transitive clauses and, more importantly, they are more frequently used for expressions of ‘nobody’ than for expressions of ‘somebody’ in line with recent observations for South-East Asian and Mixtec languages. Full article

(1) Background: Long-term health effects after SARS-CoV-2 infections can manifest in a plethora of symptoms, significantly impacting the quality of life of affected individuals. (2) Aim: The present paper aimed to assess the effects of an individualized and controlled exercise intervention on fatigue and exercise capacity among Long-COVID (LC) patients in an ambulatory setting. (3) Methods: Forty-one (n = 41) LC patients performed an exercise protocol with an individualized control of the patients’ training intensity during the study period based on the individual’s ability to achieve the target criteria. The program was carried out two to three times a week, each session lasted 30 min, and the study parameters were recorded at the beginning of the program, as well as after 6 and 12 weeks, respectively. These included both patient-reported (PCFS questionnaire, FACIT–Fatigue questionnaire) and objective (one-minute sit-to-stand test (1MSTST), workload) outcomes. (4) Results: The exercise training intervention resulted in significant improvements in the FACIT–Fatigue (F(2, 80) = 18.08, p < 0.001), 1MSTST (${\chi }^2$(2) = 19.35, p < 0.001) and workload scores (${\chi }^2$(2) = 62.27, p < 0.001), while the PCFS scores remained unchanged. Changes in the workload scores were dependent on the frequency of the completed exercise sessions and were higher in the LC patients with a moderate Post COVID Syndrome Score (PCS) compared to a severe PCS. (5) Conclusions: The individualized and controlled training approach demonstrated efficacy in reducing fatigue and enhancing exercise capacity among outpatient LC patients. However, for complete regeneration, a longer, possibly indefinite, treatment is required, which in practice would be feasible within the framework of legislation. Full article

Southern Min is generally known for not using classifiers [CL] for expressing definiteness/indefiniteness as it is associated with the bare classifier construction [CL N]. This paper offers evidence from Xiamen Southern Min (XSM) that the use of a specific classifier vs. the general classifier é contributes to referentiality in an alternative way by supporting object identification as it is due to the semantic specificity present in specific classifiers and absent in the general classifier. In a dialogic cognitive experiment adapted from the “Hidden color-chips” task (Enfield and Bohnemeyer 2001), 18 participants had to manipulate their addressees’ attention toward various objects situated in their immediate physical space through language as well as deictic gestures. The objects were associated with different specific classifiers or with the general classifier, and they were arranged according to the factors of (a) distance from speaker, (b) visibility for speaker, and (c) uniqueness (adjacency of similar items). The results show, among other things, that there is a higher tendency to use the specific CL in the [demonstrative CL N] construction if adjacent similar objects [−unique] are too far away from the speaker for clear identification by a demonstrative or a pointing gesture. This is seen as a last-resort strategy for creating contrast. Further corroboration comes from the use of specific classifiers in later mentions after the general CL failed to achieve clear identification. These findings can be situated in the broader context of other languages with classifiers in contrastive function (Thai, Vietnamese, and Ponapean) and they show the relevance of using dialogic texts for modeling classifier selection in contrast to narrative texts. Finally, dialogic contexts may serve as bridging contexts for grammaticalization from numeral classifiers to definiteness markers. Full article

There is a fundamental subsets–partitions duality that runs through the exact sciences. In more concrete terms, it is the duality between elements of a subset and the distinctions of a partition. In more abstract terms, it is the reverse-the-arrows of category theory that provides a major architectonic of mathematics. The paper first develops the duality between the Boolean logic of subsets and the logic of partitions. Then, probability theory and information theory (as based on logical entropy) are shown to start with the quantitative versions of subsets and partitions. Some basic universal mapping properties in the category of $Sets$ are developed that precede the abstract duality of category theory. But by far the main application is to the clarification and interpretation of quantum mechanics. Since classical mechanics illustrates the Boolean worldview of full distinctness, it is natural that quantum mechanics would be based on the indefiniteness of its characteristic superposition states, which is modeled at the set level by partitions (or equivalence relations). This approach to interpreting quantum mechanics is not a jury-rigged or ad hoc attempt at the interpretation of quantum mechanics but is a natural application of the fundamental duality running throughout the exact sciences. Full article

The new approach to quantum mechanics (QM) is that the mathematics of QM is the linearization of the mathematics of partitions (or equivalence relations) on a set. This paper develops those ideas using vector spaces over the field ${\mathbb{Z}}_2=\left\{0.1\right\}$ as a pedagogical or toy model of (finite-dimensional, non-relativistic) QM. The $0,1$-vectors are interpreted as sets, so the model is “quantum mechanics over sets” or QM/Sets. The key notions of partitions on a set are the logical-level notions to model distinctions versus indistinctions, definiteness versus indefiniteness, or distinguishability versus indistinguishability. Those pairs of concepts are the key to understanding the non-classical ‘weirdness’ of QM. The key non-classical notion in QM is the notion of superposition, i.e., the notion of a state that is indefinite between two or more definite- or eigen-states. As Richard Feynman emphasized, all the weirdness of QM is illustrated in the double-slit experiment, so the QM/Sets version of that experiment is used to make the key points. Full article

This article deals with the analysis of word order variation regarding subjects, direct objects, and non-direct object phrases called the “Target” in the corpus of languages of northwestern Iran, viz., Armenian, Mukri Kurdish, and Northeastern Kurdish (Indo-European), Jewish Northeastern Neo-Aramaic (Semitic), and Azeri Turkic (Turkic). The objective is to examine the effects of formal and semantic (in)definiteness in combination with animacy on Target word order variation to find out which one can be a triggering factor. Full article

The formation and evolution mechanisms of complex types and scales of marine–continental transitional shale pores are still indefinite, restricting the accurate evaluation of shale reservoir and the effective evaluation of coal-bearing marine–continental transitional shale gas resource quantity. Considering the Shanxi shale in Ordos basin of China as the research object, combining the FE-SEM images and petrophysical analysis, high-pressure mercury intrusion porosimetry, and CO₂ and N₂ adsorption–desorption experiments, the structure characteristics and differential evolution mechanisms of multiscale and multitype of coal-bearing shale pores were discussed. The results show that coal-bearing marine–continental transitional shales are rich in clay minerals and organic matters (OMs). Pores developed within organic matters, clay, and brittle minerals of coal-bearing shale have decreasing porosity values. OM pores are directly related to micro- and mesopores, with high specific surface areas, while the porosity of inorganic pores increases with the increasing pore diameter. The porosity of all pores shows a positive relationship with permeability, which changes periodically with the increase in maturity. Coal-bearing shale pores are mainly plate- and ink bottle-shaped, with multimodal pore size distributions. Controlled by both diagenesis and hydrocarbon generation, the evolution of coal-bearing shale pores could be mainly divided into four stages. Furthermore, the pore evolution model of coal-bearing marine–continental transitional shale was preliminarily constructed. This study would enhance the understanding of reservoir evolution of the coal-bearing shale and provide useful information for the assessment and evaluation of reservoir capacity. Full article

Whether non-case-marked objects with and without the numeral bir in Turkish have the same structural properties or not has been a topic of discussion for decades. This study aims to contribute to this discussion with experimental data that compares the comprehension of these object types along with their accusative-marked indefinite counterparts in terms of their scope with respect to negation by four-, five-, and six-year-old children as well as adults. The results suggest that both non-case-marked objects with and without bir contrast with accusative-marked indefinite objects and have a narrow scope with respect to negation in adults’ speech. However, bir can still have a main effect on the interpretation of the objects, just like the accusative case, and unlike non-case-marked objects without bir, objects with bir may scope over negation. Children treat all object types alike at age four and distinguish objects with and without bir at age five. These findings are compatible with an account that assumes different structures for two types of non-case-marked objects. Full article

Although deep learning-based techniques for salient object detection have considerably improved over recent years, estimated saliency maps still exhibit imprecise predictions owing to the internal complexity and indefinite boundaries of salient objects of varying sizes. Existing methods emphasize the design of an exemplary structure to integrate multi-level features by employing multi-scale features and attention modules to filter salient regions from cluttered scenarios. We propose a saliency detection network based on three novel contributions. First, we use a dense feature extraction unit (DFEU) by introducing large kernels of asymmetric and grouped-wise convolutions with channel reshuffling. The DFEU extracts semantically enriched features with large receptive fields and reduces the gridding problem and parameter sizes for subsequent operations. Second, we suggest a cross-feature integration unit (CFIU) that extracts semantically enriched features from their high resolutions using dense short connections and sub-samples the integrated information into different attentional branches based on the inputs received for each stage of the backbone. The embedded independent attentional branches can observe the importance of the sub-regions for a salient object. With the constraint-wise growth of the sub-attentional branches at various stages, the CFIU can efficiently avoid global and local feature dilution effects by extracting semantically enriched features via dense short-connections from high and low levels. Finally, a contour-aware saliency refinement unit (CSRU) was devised by blending the contour and contextual features in a progressive dense connected fashion to assist the model toward obtaining more accurate saliency maps with precise boundaries in complex and perplexing scenarios. Our proposed model was analyzed with ResNet-50 and VGG-16 and outperforms most contemporary techniques with fewer parameters. Full article

In recent years, q-rung orthopair fuzzy sets (q-ROFSs), a novel and rigorous generalization of the fuzzy set (FS) coined by Yager in 2017, have been used to manage inexplicit and indefinite information in daily life with a high precision and greater accuracy than intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). The characterization of a measure of similarity between q-ROFSs is important, as they have applications in different areas, including pattern recognition, clustering, image segmentation and decision making. Therefore, this article is dedicated to the construction of a measure of similarity between q-ROFSs based on the Hausdorff metric. This is a very useful tool for establishing the similarity between two objects. Furthermore, some axiomatic definitions of the distances and similarity measures of q-ROFSs are also presented. In this article, we first present a novel method to calculate the distance between q-ROFSs based on the Hausdorff metric. We then utilize our proposed distance measure to construct the degree of similarity between q-ROFSs. We provide some properties for the proposed similarity measures. We offer several numerical examples related to pattern recognition and characterization linguistic variables to demonstrate the usefulness of the proposed similarity measures. We construct an algorithm for orthopair fuzzy TODIM (interactive and multi-criteria decision making, in Portuguese) based on our proposed methods. Finally, we use the constructed orthopair fuzzy TODIM method to address problems related to daily life settings involving multi-criteria decision making (MCDM). The numerical results show that the proposed similarity measures are suitable, applicable and well-suited to the contexts of pattern recognition, queries with fuzzy linguistic variables and MCDM. Full article

Background. For healthcare personnel, biohazard accidents pose a significant risk to their health. These exposures can enable the transmission of pathogens such as Hepatitis B, Hepatitis C, and human immunodeficiency virus (HIV). Objective. To indicate and quantify the risk associated with higher threatening situations, such as biohazard accidents on repeated occasions or incorrect notifications to injured healthcare professionals. Methods. A cross-sectional study was conducted at the Poniente Hospital in Almeria (Spain). In total, 592 participants reported 1062 accidents and their characteristics and notifications were analyzed. Results. It was found that women (OR = 1.29) working in the surgical area (OR = 2.92), those on indefinite contracts (OR = 1.67), and those with high work experience (OR = 1.14) were the main risk factors for multiple biohazard accidents. Concerning the incorrect notification of these accidents, the main risk factors were work performance during the afternoon shift (OR = 1.72) and the fact that the accident was caused by the injured worker himself (OR = 1.53). Conclusions. This study outlined the main factors that can contribute to healthcare professionals suffering these accidents. As a result, corrective measures must be taken against these risk factors to improve safety for healthcare workers in the future. Full article