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The purpose of this article to study referrals to our hand service to find out how long they had been waiting and with what sort of clinical conditions. The Department of Health monitors outpatient's waiting time as the percentage of patients seen within a 13‐week target. This target does not include patients referred by consultants or other health professionals.

All the referral letters from other consultants or healthcare professionals still awaiting appointments were collected. The referrals were read and studied to ascertain the most likely diagnosis. This was recorded along with the source of the referral and the details to whom the referral was made. The date of the referral letter being received by the department (date stamped) was also noted.

A total of 157 referrals from consultants or healthcare professionals were waiting outpatient dates. The median waiting time was 448 days (range 20‐952 days). The most frequent source of referrals was from the orthopaedic department. Carpal tunnel syndrome was the most common problem awaiting an outpatient appointment.

The wait for a clinic appointment for these patients is long. This has come about as the result of the fact that the government targets for outpatient waiting times have been set for GP referrals alone and exclude referrals that have been made by other consultants or other healthcare professionals. This is a clinical governance issue for the Hospital Trust, the Primary Care Trust and for general practitioners.

The goal of this study is to explore how content creators engage in critical data literacies on TikTok, a social media site that encourages the creation and dissemination of user-created, short-form videos. Critical data literacies encompass the ability to reason with, critique, control, and repurpose data for creative uses. Existing work on critical data literacies on social media has focused on understanding of personal data, critique of data use, and strategies to protect privacy. This work focuses on how TikTok content creators repurpose data to construct their own narratives.

Through hashtag search, the authors created a corpus of 410 TikTok videos focused on discussing environmental and climate action, and qualitatively coded the videos for data literacies practices and video features (audio, footage, background images) that may support these practices.

Content creators engaged in multiple practices to attach meanings to data and situate environmental and climate action discourse in lived experiences. While there were instances of no data practices, we found cases where creators compiled different data sources, situated data in personal and local contexts, and positioned their experiences as data points to supplement or counter other statistics. Creators further leveraged the platform’s technical features, particularly the ability to add original audio and background images, to add narratives to the collective discourse.

This study presents a unique focus on examining critical data literacies on social media. Findings highlight how content creators repurpose data and integrate personal experiences. They illustrate platform features to support data practices and inform the design of learning environments.

Many mathematical models have been shared to communicate about the COVID-19 outbreak; however, they require advanced mathematical skills. The main purpose of this study is to investigate in which way computational thinking (CT) tools and concepts are helpful to better understand the outbreak, and how the context of disease could be used as a real-world context to promote elementary and middle-grade students' mathematical and computational knowledge and skills.

In this study, the authors used a qualitative research design, specifically content analysis, and analyzed two simulations of basic SIR models designed in a Scratch. The authors examine the extent to which they help with the understanding of the parameters, rates and the effect of variations in control measures in the mathematical models.

This paper investigated the four dimensions of sample simulations: initialization, movements, transmission, recovery process and their connections to school mathematical and computational concepts.

A major limitation is that this study took place during the pandemic and the authors could not collect empirical data.

Teaching mathematical modeling and computer programming is enhanced by elaborating in a specific context. This may serve as a springboard for encouraging students to engage in real-world problems and to promote using their knowledge and skills in making well-informed decisions in future crises.

This research not only sheds light on the way of helping students respond to the challenges of the outbreak but also explores the opportunities it offers to motivate students by showing the value and relevance of CT and mathematics (Albrecht and Karabenick, 2018).

Evidence suggests that the percentage of men seeking treatment for substance use disorders and other addictive behaviours is significantly higher than that of women. This fact raises several crucial questions concerning the field of addictions. This paper aims to emphasize to the study of addiction in the light of gender studies and especially in the light of theories of dominant/hegemonic masculinity.

The perspective of dominant/hegemonic masculinity in the field of addictions raises a number of questions: Can the dominant/hegemonic masculinity perspective contribute to the understanding of the phenomenon of addiction? What are the implications of male-dominated and male-centred treatment services on meeting the needs of other populations? Are androcentric approaches ultimately helpful for heteronormative men? This paper investigates the emerging questions through a critical review of the literature including the disciplines of psychology, sociology and anthropology.

The perspective of hegemonic masculinity can make an important contribution to the understanding of addiction as it sheds light on a dimension that is not well researched and used in the field of addictions. The influences of the androcentric approach to addiction treatment are significant and pose problems both in accessing and serving the needs of other populations. The androcentric approach to treatment is not helpful for heteronormative men either as there is a risk of not addressing the toxic dimensions of dominant/hegemonic masculinity that are directly linked to the problem of addiction.

This paper poses interesting research questions for further research in the field.

This paper raises important issues for practitioners in the field and at the same time suggests alternative perspectives on the interpretation and treatment of addiction.

The gender perspective that should further enrich psychosocial interventions is crucial for the equal access of all people with an addiction problem to appropriate support structures.

Gender studies can make an important contribution to further understanding of addiction problems and to the development of effective practices for dealing with it. The fact that in substance abuse treatment programmes the vast majority of participants are heteronormative men raises a number of concerns. These concerns relate to the extent to which structures are directed at meeting the needs of these men and whether because of this orientation the needs of other populations such as heteronormative women and those who do not meet the norms of heteronormativity are left uncovered. These concerns are linked to broader considerations of the role that dominant/hegemonic masculinity plays in the aetiology of addiction and in creating barriers to help-seeking for heteronormative men themselves.

Large or increasing stocks of non-performing loans in the banking sector constitute threats to financial stability. This paper considers to which extent various macroeconomic and macro-financial factors may serve as leading indicators for the dynamics of the ratio of non-performing loans to total loans.

The paper estimates panel data models for all EU countries and two groups of EU countries using quarterly data over approximately 20 years.

The estimations show that many macroeconomic and macro-financial variables are leading indicators for non-performing loans in the EU countries, even years ahead. Higher GDP growth, lower inflation and lower debt are robust leading indicators of a lower ratio of non-performing loans in the future. The current account balance and real house prices are important indicators for the Western European group but not for the Central and Eastern European group.

The estimations are carried out for panels of EU countries and the effects may hence be seen as averages for the countries in the particular panel and may not apply for individual countries.

National and international authorities have brought in systems to detect and address imbalances and emerging problems in the financial sectors. Many of the measures operate with long lags, and so it is important to assess whether various macroeconomic and macro-financial variables may serve as leading indicators for future developments of non-performing loans.

The main contribution of the paper is that it estimates models meant expressly for predicting non-performing loans several years ahead. The results are thus of practical use for national and international authorities which typically have access to measures that operate with a long delay. The analysis also includes more macroeconomic and macro-financial variables as leading indicators than have typically been used in earlier studies.

The aim of this paper is to explore qualitatively and holistically the experience of international students in the context of Portuguese higher education. This paper interrogates the potential that an experience abroad provides for multicultural learning and for enhancing interaction between students with different cultural backgrounds.

To provide depth to the understanding of their experiences abroad, the narratives of 12 international students in Portugal were constructed and analysed interpretatively. The findings presented in this paper result from a solid set of data based on 41 interviews with an average duration of two hours each.

Regarding students’ levels of multicultural contact, the findings presented in this paper are not consistent with previous research literature which indicates a tendency for segregation among international and local students. Aside from one exception, all the interviewed students were rather comfortable to interact with their local peers and even established meaningful friendships with them. Concerning students’ learning throughout the sojourn, the findings indicate that the experience of living in a different country provides numerous opportunities for multicultural learning.

Even though the findings suggest that multicultural learning is part of international students’ lives, it is beyond the scope of this paper to identify institutional strategies to further support students’ learning.

The study adds to knowledge production in the field of multicultural education by bringing data from Portugal, a country seldom approached in the research literature.

Scattered parts are laid randomly during the manufacturing process and have difficulty to recognize and manipulate. This study aims to complete the grasp of the scattered parts by a manipulator with a camera and learning method.

In this paper, a cascaded convolutional neural network (CNN) method for robotic grasping based on monocular vision and small data set of scattered parts is proposed. This method can be divided into three steps: object detection, monocular depth estimation and keypoint estimation. In the first stage, an object detection network is improved to effectively locate the candidate parts. Then, it contains a neural network structure and corresponding training method to learn and reason high-resolution input images to obtain depth estimation. The keypoint estimation in the third step is expressed as a cumulative form of multi-scale prediction from a network to use an red green blue depth (RGBD) map that is acquired from the object detection and depth map estimation. Finally, a grasping strategy is studied to achieve successful and continuous grasping. In the experiments, different workpieces are used to validate the proposed method. The best grasping success rate is more than 80%.

By using the CNN-based method to extract the key points of the scattered parts and calculating the possibility of grasp, the successful rate is increased.

This method and robotic systems can be used in picking and placing of most industrial automatic manufacturing or assembly processes.

Unlike standard parts, scattered parts are randomly laid and have difficulty recognizing and grasping for the robot. This study uses a cascaded CNN network to extract the keypoints of the scattered parts, which are also labeled with the possibility of successful grasping. Experiments are conducted to demonstrate the grasping of those scattered parts.

Previously, a questionnaire survey was conducted and it was found that some management practices were more influential to service quality than others. The purpose of this paper is to identify in more detail the reasons behind the survey findings.

Eighteen in‐depth interviews into a range of management practices which support service quality were conducted.

It was found that there were difficulties in implementing some of the management practices due to the type of staff employed and to the nature of tasks undertaken.

As the purpose of this research is to facilitate interpretation of the quantitative data, the investigation did not go in detail beyond mass and technological services. Hence, individual organisational characteristics, individual circumstances, or details of the service offered to customers are not considered beyond the category of either mass or technological services.

The paper identifies that the actual contribution from different management practices to service quality varied, and explains the reasons behind the diverse contributions in each type of service business.

The purpose of this paper is to examine instructional leadership (IL) in outstanding secondary schools within a centralised (Greece) and a partially decentralised (England) education context.

Since the purpose of the study is exploratory, the researchers adopt a qualitative approach, employing a series of four qualitative case studies with the purpose of examining the impact of IL on student learning, teachers’ professional growth and school improvement, using the interpretivist paradigm. Semi-structured interviews with various data sets (stakeholders) within and outside the school, observation of leadership practices and meetings, and scrutiny of relevant macro and micro policy documents are employed to enhance methodological and respondent triangulation.

Recognising that IL is not confined to the principals’ leadership domain, a sense of shared and distributed leadership prevails in schools, while its implementation is inevitably linked to system constraints. The findings from the Greek schools link to the official expectations that principals operate as administrative rather than instructional leaders, while an unofficial instructional “teacher leadership” culture suggests potential for reconsidering leadership in Greek state schools. In contrast, the decentralisation of school activities creates the platform for the emergence of shared and distributed leadership within the English context, where school actors enact direct and indirect IL roles.

This cross-country comparative study demonstrates theoretical significance in its focus on the collaborative and reciprocal nature of IL, while its empirical contribution lies in generating new knowledge on how IL is contextually bounded.

The global financial crisis of 2008 still has an impact on the financial systems around the world, for which funding liquidity has been mentioned as one of the main concerns during that period. This study aims to consider the impact of and extent to which the funding structure of Islamic banks along with deposit structure, macroeconomic variables, other bank-specific variables, including alternative funding mix variables (in terms of funding structure measured as financing/deposit ratio), could play a part in explaining the financial conditions and predicting the failures and performances of Islamic banks in the case of Malaysia under the distress created by the global financial crisis.

Multivariate logit model was used with a sample including 17 full-fledged Islamic banks in Malaysia for the period from December 2005 to September 2010 by using quarterly data.

This study found that the funding mix variable (financing/deposit ratio), the composition of deposits, alternative bank-specific variables and alternative funding mix variables are statistically significant. In contrast, none of the macroeconomic variables is found to have a significant impact on bank liquidity. In the final models, the variables that showed significant performance were selected as explanatory variables. The results of McFadden R-squared for both selected models showed an excellent fit to predict the Islamic banks’ performance.

This empirical study contributes to the literature in two ways: to the best of the authors’ knowledge, this is the first study to examine the role of the funding structures of Islamic banks in determining their performance; and it also examines the effect of deposit composition (the mudharabah and non-mudharabah deposits) on Islamic banks’ performance.