Search Results (7)

Post-stroke spasticity significantly impairs upper limb function and quality of life. Ultrasound-guided botulinum toxin-A (BoNT-A) injections have become a cornerstone of management, enhancing precision and safety. This paper offers a comprehensive guide for clinicians on ultrasound-guided BoNT-A injections for distal upper limb muscles. Each muscle is detailed in terms of its role in spasticity management, ultrasound identification with key anatomical landmarks, clinical relevance, and injection strategies. Motor points, traditionally identified through anatomical studies or electromyography (EMG), are precisely localized using a musculoskeletal ultrasound by targeting the point of maximum muscle thickness, often corresponding to the motor point. The authors present their clinical method, developed at Elias University Hospital (EUH), to refine BoNT-A injection practices. This approach enhances efficacy, reduces dosage requirements, and improves patient outcomes. The paper also explores unique ultrasound characteristics of spastic muscles, such as their relationship with peripheral nerves, adjacent vascular and muscular structures, and intra- and intermuscular fascia, to guide clinicians in targeting functional muscle tissue. This guide is illustrated with representative ultrasound images and clinical diagrams and provides practical insights into anatomical relationships and injection techniques. Part I focuses on distal upper limb muscles, with Part II addressing proximal upper limb muscles. Full article

The performance of tax administrations (TAs) is usually described as their capacity to complete activities with the minimum of resources engaged. Accordingly, tax administration performance is a multifaceted phenomenon, and measuring and benchmarking its performance against other countries or regions remains a puzzle for researchers and practitioners. This paper introduces a new approach for measuring tax administration performance using the Composite I-Distance Indicator (CIDI) based on 11 individual performance measures from 35 European tax administrations over two consecutive years (2018–2019). For the given scores of tax administrations, we conducted a correlation analysis with (a) tax evasion loss and (b) the fiscal deficit of countries in which these tax administrations operate, aiming to assess the strength of the statistical relationship between these variables. The study highlights Denmark and the Netherlands as exemplary models for tax administration, with “Revenue Collection” being identified as a crucial driver of excellence and “Operational Performance” (such as “e-filing” and “on-time filing”) forming critical aspects of TA efficiency. Also, the study finds a negative correlation between tax avoidance and tax administration performance. Full article

Examining the filmmaker Satyajit Ray’s engagements with religious questions with reference to his films Devi (The Goddess), Mahapurush (The Holy Man), Ashani Sanket (Distant Thunder), Sadgati (Deliverance) and Ganashatru (A Public Enemy), this essay assesses the influence of Ray’s Brahmo inheritance, his personal atheism/agnosticism and his cultural fascination with Hinduism in his representations of women’s status and caste discrimination. It concludes that although Ray’s approach to Hinduism was far from one-dimensional or sectarian, its negative social consequences were emphasized more in his work than any positive role it might play in society and culture. Full article

This paper presents a method of establishing the D-stability terms of the symmetric solution of scalar symmetric linear and nonlinear functional differential equations. We determine the general conditions of the unique solvability of the initial value problem for symmetric functional differential equations. Here, we show the conditions of the symmetric property of the unique solution of symmetric functional differential equations. Furthermore, in this paper, an illustration of a particular symmetric equation is presented. In this example, all theoretical investigations referred to earlier are demonstrated. In addition, we graphically demonstrate two possible linear functions with the required symmetry properties. Full article

Achieving sustainability in constant development in every area in today’s modern business has become a challenge on the one hand, and an imperative on the other. If the aspect of business excellence achievement is also added to it, the complexity of the system increases significantly, and it is necessary to model a system considering several parameters and satisfying the multi-criteria function. This paper develops a novel integrated model that involves the application of a subjective-objective model in order to achieve business sustainability and excellence. The model consists of fuzzy PIPRECIA (fuzzy pivot pairwise relative criteria importance Assessment) as a subjective method, CRITIC (criteria importance through intercriteria correlation) and I-distance method as objective methods. The goal is to take the advantages of these approaches and allow for more accurate and balanced (symmetric) decision-making through their integration. The integrated subjective-objective model has been applied in a narrow geographical area to consider and evaluate banks as a significant factor in improving the social aspect of sustainability. An additional contribution of the paper is a critical overview of multi-criteria problems in which the levels of the hierarchical structure contain a different (asymmetric) number of elements. A specific example has also been used to prove that only a hierarchical structure with an equal number of lower-level elements provides precise weights of criteria in accordance with the preferences of decision-makers referring to subjective models. The results obtained are verified throughout the calculation of Spearman and Pearson correlation coefficients, and throughout a sensitivity analysis involving a dynamic reverse rank matrix. Full article

Sustainable development as a concept, is extremely important both at national and international levels. To achieve the goals of sustainable development, international cooperation among countries is of vital importance because no one nation can accomplish these goals independently. In order to implement the sustainable development strategy, first discussed in 1992 at the UN Conference of Environment and Development, the indicators of sustainable development first had to be defined. Considering that the first set of indicators was defined by the Commission on Sustainable Development (CSD), they were entitled CSD indicators. The smaller set of CSD indicators in the European Union countries (EU-28) is observed in this study. These indicators cover three aspects of sustainable development: economic, social and environmental. The goal of this study is to rank EU countries according to the level that they were able to achieve the objectives of their respective sustainable development strategies individually, according to the 2013 database. The appropriate statistical I-distance method was used for this purpose. In the first step, the significant indicators are distinguished and ranked according to the quantity and importance of the information they provide for specific research. Subsequently, this method then converts the indicators into a single measure that reflects the level at which each country has achieved the goal. Full article

The Wireless Sensor Network similarity search problem has received considerable research attention due to sensor hardware imprecision and environmental parameter variations. Most of the state-of-the-art distributed data centric storage (DCS) schemes lack optimization for similarity queries of events. In this paper, a DCS scheme with metric based similarity searching (DCSMSS) is proposed. DCSMSS takes motivation from vector distance index, called iDistance, in order to transform the issue of similarity searching into the problem of an interval search in one dimension. In addition, a sector based distance routing algorithm is used to efficiently route messages. Extensive simulation results reveal that DCSMSS is highly efficient and significantly outperforms previous approaches in processing similarity search queries. Full article