Basic Actions Research Articles

¿Es un tribunal de cuentas el cambio real que requiere el control fiscal colombiano?

This article analyzes the parliamentary proposal to reform fiscal control through the implementation of a new model: the court of accounts, highlighting the advantages and disadvantages. To this end, it is proposed to differentiate between a jurisdictional court of accounts, an administrative body of fiscal responsibility and a judicial co urt of fiscal responsibility. In addition, the question will be addressed as to whether this new model would be the only one to intervene in the public sphere as an auditing and/or adjudicating entity, or whether it would coexist with the Contraloría General, the territorial comptrollers and the Auditoría General, who would continue to carry out the investigations on the auditing component of accounts review and fiscal oversight. Or, on the contrary, it would be the same court that would carry out such basic action to prescribe the fiscal responsibility in trial. Although the mere existence of a court with powers of “jurisdictional administrative fiscal responsibility control” does not in itself guarantee an effective administration of justice, the creation of a body with an adversarial structure, where one party accuses and the other defends itself, could strengthen the fiscal justice system. In this scenario, an impartial and objective third party, such as a court, could play a fundamental role in resolving conflicts and ensuring a fairer and more efficient tax control.

Foreknowledge and causal determinism

AbstractI evaluate Patrick Todd's critique of the idea accepted by many, including (in contemporary philosophy) Nelson Pike and John Martin Fischer, that there can be non‐causal constraints on human actions (including basic actions). I suggest that Todd's critical reflections, although illuminating, are not persuasive. I defend non‐causal constraints in part by putting forward an interpretation of the intuitive idea of the fixity of the past following Carl Ginet: our freedom is the power to add to the given past.

FineTea: A Novel Fine-Grained Action Recognition Video Dataset for Tea Ceremony Actions.

Methods based on deep learning have achieved great success in the field of video action recognition. When these methods are applied to real-world scenarios that require fine-grained analysis of actions, such as being tested on a tea ceremony, limitations may arise. To promote the development of fine-grained action recognition, a fine-grained video action dataset is constructed by collecting videos of tea ceremony actions. This dataset includes 2745 video clips. By using a hierarchical fine-grained action classification approach, these clips are divided into 9 basic action classes and 31 fine-grained action subclasses. To better establish a fine-grained temporal model for tea ceremony actions, a method named TSM-ConvNeXt is proposed that integrates a TSM into the high-performance convolutional neural network ConvNeXt. Compared to a baseline method using ResNet50, the experimental performance of TSM-ConvNeXt is improved by 7.31%. Furthermore, compared with the state-of-the-art methods for action recognition on the FineTea and Diving48 datasets, the proposed approach achieves the best experimental results. The FineTea dataset is publicly available.

The Value of a Nurse's Voicein Political Discourse.

Nurse leaders have an important opportunity to develop and support nurses' participation in public policy and advocacy. Many issues today are healthcare related and would benefit from a nurse's perspective. There are many opportunities for nurses to engage in policy but voting is the most basic and important action we can take.

Imperfect maintenance modelling and estimation for interval-censored data

The paper proposes a new maintenance model for a repairable system. The system is inspected at deterministic times. If a failure occurs between two successive inspections, a minimal repair is performed. At inspection times, two types of maintenance actions can be performed. The first originality of the paper is to consider that the choice between these two types of maintenance depends on the fact that there has been a failure or not since the previous inspection. If no failure has occurred since the last inspection, the maintenance, simply denoted PM, corresponds to a basic preventive maintenance action, whose effect is planned by the initial maintenance plan. If at least one failure has occurred since the last inspection, the maintenance, denoted PCM, includes both the preventive action planned by the initial maintenance plan, and a specific corrective action which aims to fix the defects that have happened since the last inspection. Both types of maintenances are assumed to be imperfect, of the ARA (Arithmetic Reduction of Age) type, with different parameters. Moreover, the paper derives several statistical inference methods for this model. The usual case of complete data is first considered. The second originality of the paper is to analyse interval-censored data in this imperfect maintenance framework. This situation holds when failure times are not observed, and the only information is the fact that failures have occurred or not between two inspections. The quality of the proposed methods is assessed on simulated data. Finally, a real dataset from a gas transmission system operator is provided and analysed with the proposed approach.

Multi-scale control and action recognition based human-robot collaboration framework facing new generation intelligent manufacturing

Facing the new generation intelligent manufacturing, traditional manufacturing models are transitioning towards large-scale customized productions, improving the efficiency and flexibility of complex manufacturing processes. This is crucial for enhancing the stability and core competitiveness of the manufacturing industry, and human-robot collaboration systems are an important means to achieve this goal. At present, mainstream manufacturing human-robot collaboration systems are modeled for specific scenarios and actions, with poor scalability and flexibility, making it difficult to flexibly handle actions beyond the set. Therefore, this article proposes a new human-robot collaboration framework based on action recognition and multi-scale control, designs 27 basic gesture actions for motion control, and constructs a robot control instruction library containing 70 different semantics based on these actions. By integrating static gesture recognition, dynamic action process recognition, and You-Only-Look-Once V5 object recognition and positioning technology, accurate recognition of various control actions has been achieved. The recognition accuracy of 27 types of static control actions has reached 100%, and the dynamic action recognition accuracy of the gearbox assembly process based on lightweight MF-AE-NNOBJ has reached 90%. This provides new ideas for simplifying the complexity of human-robot collaboration problems, improving system accuracy, efficiency, and stability.

Application of network pharmacology and dock of molecules on the exploration of the mechanism of frankincense-myrrh for lumbar intervertebral disc degeneration: A review.

To investigate the efficacy of Frankincense-Myrrh in lumbar Intervertebral degenerative diseases (LIDD). The active components of frankincense-myrrh was retrieved with a unique system pharmacology platform for Traditional Chinese Medicine Systems Pharmacology (TCMSP). The LIDD-related target genes were screened with DisGeNET and Genecards databases. Then, STRING & Cytoscape were used for analyzing the Protein-Protein Interaction network. DAVID was used for analyzing Gene Ontology (GO) & Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. Finally, molecules of AutoDockVina and Pymol were used for docking the molecules for verifying active ingredients and key targets' binding force. The 105 LIDD-related targets identified in Ruxiang (RX)-Moyao (MY) involve 53 active ingredients. In addition, topological analysis was conducted for identifying the 12 key targets. According to the analysis results of GO & KEGG, RX-MY is significant for treating LIDD through participating in many pathways and biological processes, such as signaling pathways of inflammatory response reactive process, MAP kinase activity, TNF, and MAPK, etc. According to the dock results, the active components oxo-tirucalic, acid, isofouquierone, (7S, 8R, 9S, 10R, 13S, 14S,17Z)-17-ethylidene-7-hydroxy-10,13-dimethyl-1,2,6,7,8,9,11,12,14,15-decahydrocyclopenta [a] phenanthrene-3,16-dion in RX-MY binds actively. The basic pharmacological action and RX-MY-related mechanism in the treatment of LIDD was revealed in this study for the first time. It is predicted that the results may provide a treatment plan for RX-MY with replacement of NSAIDs and warrant investigation of new therapeutic alternatives for LIDD. However, these predictions should be validated by relevant pharmacological trials.

Urgensi Manajemen Keamanan dan Pengendalian Sistem Informasi bagi UMKM di Indonesia

In today's digital era, Micro, Small, and Medium Enterprises (MSMEs) are one of the important components in the national and global economy. In the context of MSMEs in Indonesia, managing and controlling information system security is a very important thing to pay attention to. This article discusses the urgency of steps that need to be taken to support the growth of MSMEs in Indonesia. The method used in this research is descriptive qualitative method. The approach used is library research. Based on the results of the literature study, it was found that the management and control of information systems really need to be applied to MSMEs in Indonesia. This is because threats to information systems and technology in MSMEs are unavoidable conditions. Generally, MSMEs already know this, but they have only taken the most basic information system management and control actions, and there are still many MSMEs that have not taken information system management and control actions.

A framework to foster accessibility in post-pandemic virtual higher education

The SARS-CoV-2 Coronavirus pandemic (COVID-19) forced educational institutions to move their programmes to the virtual world. Several tech-based solutions –including virtual training and tutoring, discussion forums, access to content and information, collaborative platforms, and Open Educational Resources (OER)– were implemented to address this shift and continue to be used in the post-pandemic era due to the advantages they offer, especially for hybrid and blended learning. However, the implementation of these tech-based solutions also revealed several accessibility issues that need to be addressed to fully leverage the technological benefits. This study aims to provide a framework to facilitate the adoption of good practices related to technological accessibility in virtual Higher Education. The implementation of the framework is divided into four basic actions, each of which should be tailored to the constraints and needs for improving accessibility in Higher Education Institutions (HEIs). The framework's instantiation in four HEIs serves as a proof-of-concept in real-world scenarios. The preliminary results suggest that the proposal is promising, as it was adaptable to the specific needs of each HEI fostering accessibility and inclusion through technological alternatives that align with their organisational structures and current levels of attention to accessibility.

1,1,1,3,3,3-Hexafluoro-2-propanol (HFIP) as a reusable promoting medium for the catalyst-free and green synthesis of dihydropyrano[2,3-c]pyrazole scaffolds

A manufactured protocol that is both helpful and free of catalyst has been presented for the production of dihydropyrano[2,3-c]pyrazole frameworks in polyfluorinated alcohol as a reusable promoting medium. All reactions are completed quickly, and the products are obtained in astounding yields. Notably, the convenient approach has remarkable yields, avoids the use of hazardous solvents or reagents, is simple to operate, and only requires one pot. The 1,1,1,3,3,3-hexafluoro-2-propanol (HFIP) was extremely stable and could be repeated four times without significant basic alteration or action, making it ideal for large-scale and organic production.

Repetitive assembly basic action detection and standard work measurement based on deep learning

ABSTRACT Researchers extensively use deep learning for assembly task action recognition due to its superior feature representation. However, current methods fail to integrate assembly actions with basic human movements, resulting in poor generalization. Moreover, most research focuses on estimating operation times without computing standard work times. To address this issue, this study uses a deep learning method to detect basic repetitive assembly actions and compute their normalized time. This paper uses the TadTR model to determine each assembly operation’s average observation time and operation category. MS-G3D was then used to recognize the MOD action pairs and obtain the basic MOD actions and PTS times for each operation. The synthetic evaluation method was subsequently employed to obtain the evaluation coefficient, ultimately determining standard working hours.This study shows that the accuracy of the left and right MS-G3D models is 0.8804 and 0.7957, respectively, and the deviation of observation hours is less than 10%. Supplementary experiments further validated the proposed method’s flexibility, showing an observation time deviation of less than 5%. Thus, the standard work time measurement method proposed in this study provides finer-grained recognition of assembly actions and a more objective measure of standard working hours.

The Recognition of Aerobics Movements Using Bone Data Combined with ST-GCN

To solve the aerobics action recognition and promote the gradual intelligence and standardization of aerobics teaching and evaluation, a network model based on spatial temporal graph convolution and combined with attention mechanism was proposed. This model improved the extraction efficiency of spatiotemporal features and channel features by introducing spatiotemporal graph and channel attention mechanisms, respectively, thereby improving the accuracy of action recognition. And a time extension module was introduced into each basic module, and additional features between adjacent vertices were extracted by extending the time graph between frames. These experiments confirmed that this model exhibited high accuracy in identifying aerobics movements. The recognition accuracy of basic actions was above 93.6%, and the recognition accuracy of two actions had reached 98.4% and 98.6% respectively. For advanced actions, the recognition accuracy of the model had slightly decreased, but the average value was still above 95%. The accuracy of difficult motion recognition had also achieved good results, reaching a maximum of 94.5%. These data indicate that this model can achieve high accuracy in handling action recognition tasks of different difficulty levels, and can identify aerobics movements of different difficulty levels.

Robustly reusable fuzzy extractor from isogeny

Robustly reusable Fuzzy Extractor (rrFE) allows multiple extractions from the same fuzzy source in a reproducible way. The reusability of rrFE asks the pseudo-randomness of the extracted keys, while robustness of rrFE makes sure that active attacks can be detected during the reproduction of the extracted key. With rrFE, we are able to produce cryptographic keys for our cryptosystems from fuzzy sources, like biometrics, physical unclonable functions, etc. There are rrFE schemes from the DDH, LWE and LPN assumptions. However there is no rrFE scheme from isogeny-based assumptions up to now.In this paper, we construct the first rrFE from isogeny. To obtain such an rrFE, we propose a new framework for constructing rrFE with a core technical tool, named Enhanced Effective Group Action (EEGA). EEGA is built upon the basic Effective Group Action (EGA), and is equipped with a sampling algorithm and a derivation algorithm. With such an EEGA, the same random input can be derived to produce different pseudo-random and unpredictable outputs. The EEGA, together with other routine building blocks like secure sketch and extractor, leverages an FE to achieve reusability and robustness. We construct EEGA based on CSI-FiSh, which admits the first rrFE scheme from isogeny. Besides, we also propose another two EEGA instantiations from the DDH assumption, and this provides another approach to DDH-based rrFE, which may be of independent interest.

An update of the development of motor behavior.

This primer describes research on the development of motor behavior. We focus on infancy when basic action systems are acquired-posture, locomotion, manual actions, and facial actions-and we adopt a developmental systems perspective to understand the causes and consequences of developmental change. Experience facilitates improvements in motor behavior and infants accumulate immense amounts of varied everyday experience with all the basic action systems. At every point in development, perception guides behavior by providing feedback about the results of just prior movements and information about what to do next. Across development, new motor behaviors provide new inputs for perception. Thus, motor development opens up new opportunities for acquiring knowledge and acting on the world, instigating cascades of developmental changes in perceptual, cognitive, and social domains. This article is categorized under: Cognitive Biology > Cognitive Development Psychology > Motor Skill and Performance Neuroscience > Development.

Chair Work with the Empathic Other: Providing Basic Need Support for Resolving Unfinished Business

In this case study we present an example of a modification of the chair work technique, called ‘chair work with the empathic other’, and examine the process of emotional change of the participant. We find that talking directly to the empathic other supports the participant’s emotional engagement with the task and guides her emotional processing through the four necessary components of successful empty chair work, specified in previous research: experiential access and intense expression of primary adaptive emotion, expression of thwarted need, and a shift in the representation of self and the other. Drawing on self-determination theory, we conceptualize the trainer’s person-centered communication as a basic need-supporting therapeutic action. Throughout the chair work process, the need-supporting positioning of the ‘empathic other’, provided by the trainer, consistently engages the participant in the emotional processing of unfinished business: it deepens and widens her emotional exploration, leads her to express thwarted need, and finally, to change representation of self and other. We discuss the findings within the framework of self-determination theory and in relation to research on emotional change and therapeutic practice. Previous research has pointed out the difficulties many clients face with engaging in chair work. Introducing need-supportive communication, drawing on self-determination theory, we suggest that the modified technique is a possible intervention to facilitate engagement in chair work and emotional change.

Cosmological implications of the Weyl geometric gravity theory

We consider the cosmological implications of the Weyl geometric gravity theory. The basic action of the model is obtained from the simplest conformally invariant gravitational action, constructed, in Weyl geometry, from the square of the Weyl scalar, the strength of the Weyl vector, and a matter term, respectively. The total action is linearized in the Weyl scalar by introducing an auxiliary scalar field. To maintain the conformal invariance of the action the trace condition is imposed on the matter energy–momentum tensor, thus making the matter sector of the action conformally invariant. The field equations are derived by varying the action with respect to the metric tensor, the Weyl vector field, and the scalar field, respectively. We investigate the cosmological implications of the theory, and we obtain first the cosmological evolution equations for a flat, homogeneous and isotropic geometry, described by Friedmann–Lemaitre–Robertson–Walker metric, which generalize the Friedmann equations of standard general relativity. In this context we consider two cosmological models, corresponding to the vacuum state, and to the presence of matter described by a linear barotropic equation of state. In both cases we perform a detailed comparison of the predictions of the theory with the cosmological observational data, and with the standard Λ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\Lambda $$\\end{document} CDM model. By assuming that the presence of the Weyl geometric effects induce small perturbations in the homogeneous and isotropic cosmological background, and that the anisotropy parameter is small, the equations of the cosmological perturbations due to the presence of the Weyl geometric effects are derived. The time evolution of the metric and matter perturbations are explicitly obtained. Therefore, if Weyl geometric effects are present, the Universe would acquire some anisotropic characteristics, and its geometry will deviate from the standard FLRW one.

Contribución a la sostenibilidad de los emprendimientos turísticos, utilizando la metodología Desing Thinking

The objective of this work was to base the use of the design thinking methodology as a tool to improve the sustainability of tourism ventures in Ecuador, based on the consequences caused by the pandemic in this sector so hit during the years of 2019 to 2021. For this, information is collected from four tourist enterprises located in the parish of Mindo in Quito, in which the resulting prototype of the methodology will be tested. This is chosen firstly because it is a complex problem and secondly because it is focused on people, in this particular case, on tourism entrepreneurs, empathizing with their needs and problems, as well as analyzing the changing environment, challenges and offering innovative solutions. Among the main results obtained in the research, the opinion of the tourism entrepreneurs interviewed about the importance of training as one of the factors to guarantee the success of their businesses and their sustainability stands out, which allowed the design of a prototype of a course of good environmental practices, which includes general bases on the environment, waste management and basic actions to minimize the environmental impact of these undertakings.

Transient characterisation and analysis of shape memory alloy wire bundles for the actuation of finger joints in prosthesis design

Most current lower arm/hand prosthesis designs incorporate relatively bulky, heavy dc motors that produce substantial noise when performing actuation which rendersthem uncomfortable for the end-user. The engineering challenge is to produce more effective powered upper limb prosthetic solutions. Identification, characterisation and testing of actuation methods with better force to weight ratios are essential pre-requisites for this. The main aim of this work is to carry out a comprehensive study to establish conclusively the feasibility of employing Shape Memory Alloys (SMA’s) in the actuation of prosthetic finger designs. A comprehensive review of existing literature has been undertaken in order to establish the maximum grip forces at each phalanx of the human hand under different loading conditions. An experiment was developed in conjunction with this review to estimate the time response of the hand during a gripping/releasing action. These results, in combination with physical dimensions, will be used to drive the design of a prosthetic limb.
 A test rig has been developed which can facilitate complete transient and steady-state characterisation of a range of SMA wire diameters and bundle configurations. Anumber of different configurations were tested, each configuration having a different combination of 150 μm and 300 μm diameter nitinol wires. A data acquisition systemwas used to capture and retain data pertaining to the full characterisation of the bundles and in particular the strain and force capabilities of the various arrangements. A direct comparison is made between the actuator capabilities and the requirements of a working limb for basic gripping actions. This work will contribute to the development of an improved powered prosthetic solution.

Agentive Modals and Agentive Modality

Abstract In this paper, we consider recent attempts to metaphysically explain agentive modality in terms of conditionals. We suggest that the best recent accounts face counterexamples, and more worryingly, they take some agentive modality for granted. In particular, the ability to perform basic actions features as a primitive in these theories. While it is perfectly acceptable for a semantics of agentive modal claims to take some modality for granted in getting the extension of action claims correct, a metaphysical explanation of agentive modality cannot, at least not in the way that conditional approaches to agentive modality do. We argue that this problem was present even in the classical conditional analysis. By a pessimistic induction, we suggest that, probably, no conditional approach to agentive modality will succeed.

Rethinking the basic action modes of herbal medicine and pondering classical standardization

Over the past two decades, the secondary metabolite platform has determined the scientific direction of herbal medicines, while plant sources have been assumed to be the object of lead discoveries through bioassay-guided fractionation efforts. Nonetheless, the majority of purification programs have resulted in fractions and pure compounds with much lower efficacy than their parent extracts. It is then assumed that co-working action modes among chemical constituents occur in the herbal preparations. Primary metabolites (polysaccharides, peptides, and fatty acids) and mineral groups, on the other hand, have been neglected in the herbal effect contributions. This review aims to understand the interplay of secondary metabolites in herbal preparations, particularly how they interact with primary metabolites and mineral groups. Thus, by adhering to classical methods, it is possible to address certain aspects that modern standardization lacks, thereby facilitating a more comprehensive approach to these issues.