Use of mealtime advice mats in special schools for children with learning disabilities

Aim Eating, drinking and swallowing difficulties can have serious outcomes for children and adults with learning disabilities. Carers must adhere to management guidelines about mealtime support, and multidisciplinary teams must ensure this happens. A one-page point of care tool summarising the guidelines for a specific client, sometimes termed a ‘mealtime advice mat’ (MAM), is one method. The aim of this study was to determine whether MAMs are used in special schools, gain an understanding of their format and use and identify other methods of supporting adherence such as training. Methods Questionnaires were given to 14 speech and language therapists (SLTs) who work in special schools, and 13 members of staff of one London special school. Results The results suggest that SLTs use MAMS as common practice, and that there is agreement on their content and format, but not on the name of the resource. School staff also use this type of tool, but not directly at mealtimes. Conclusion Written, simplified guidelines to support children at mealtimes are used in special schools, however, although they contain similar information they vary in title and the way they are used. MAMs are simple and potentially cost-effective point-of-care tools that can reinforce eating and drinking guidelines, and can be used to measure adherence. Ensuring they are understood by and useful to carers requires further investigation

p53 and PCNA expression in benign, atypical and malignant meningiomas

Objective: Alterations: p53 genes are turning out to be the most common genetic alterations in human cancers. Due to long half-life of mutated p53, its detection is possible by immunohistochemistry. Proliferating cell nuclear antigen (PCNA) is expressed by dividing cells, hence has been shown to correlate with prognosis. We have used monoclonal antibodies protein DO-7 (p53) and PC10 (PCNA) to see whether their expression correlates with histological grading in meningethelial tumour.Material and Methods: a Twenty nine meningiomas (20 benign, 7 atypical and 2 malignant) were selected from the records of our laboratory. p53 and PCNA expression was sought by immunohistochemistry using Peroxidase Anti Peroxidase (PAP) technique.Results: Four benign and 2 atypical meningiomas showed weak staining for p53. Both malignant meningiomas showed strong positivity for p53. Six benign meningiomas had less than 5% PCNA positivity, one 10% positivity and three showed 20% positivity. PCNA positivity ranged for 10-80% in atypical meningiomas. In two malignant meningiomas PCNA positivity was 70% and 90%.Conclusion: It is worthwhile to include p53 and PCNA expression along with histologic assessment in predicting outcome of meningiomas. A larger series with complete follow-up is essential in assessing value of these markers which unfortunately remains a dream in our country

Technological Developments and the Role of L2 Motivation in University English Language Teaching Education

The 21st century is the era of technology and digitalization in teaching and learning dynamics., The present study explores the function of L2 motivation in university-based English language teaching (ELT) education. It also seeks to comprehend how technological developments are changing L2 motivation and examines teachers coping mechanisms in this changing educational environment. This study employs a qualitative research approach to explore the university teachers choices of technology instruments and pedagogical choices for enhancing students’ L2 motivation. Thus, the study uses semi-structured interviews to collect data from the 15 university teachers, (8 from Pakistan and 7 from Russia). Moreover, the secondary aim of the study is to comprehend the variables influencing L2 teacher motivation, and pedagogical approaches. This study adds to the body of information on language teaching by emphasizing the necessity for university teachers to adapt to changes in L2 motivation by utilizing technology, developing cutting-edge resources, and creating motivating learning settings

Understanding the Complexity of Motivational Orientations towards Learning English among Pakistani Female University Students

The present study goal is to investigate female university students’ motivation toward learning English as Second Language (ESL) studying at the University of Sindh, Pakistan. Two main objectives of the study were to evaluate the motivational orientation of the female learners in terms of integrativeness or instrumentality. Second, to study the factors that affect the learners motivation towards learning English. A mixed-method approach was employed with descriptive and inferential statistics were performed on the data to evaluate the data. A number of 158 female students from both the Science and Arts faculties at the English and Chemistry departments filled the structured questionnaire. Additionally, to gain a deeper understanding of the researched phenomenon, the semi-structured interviews were conducted with 20 students. The findings revealed a complex portrait of the target population, with the most prominent motivational factors being integrative motive, classroom environment, and instrumental motive. Besides, the influence of teachers was found to induce behavioral changes, while gender did not appear to significantly impact the learning process

Diagnostic evaluation of fine Needle aspiration cytology in the management of palpable Breast lesions

A total of 113 fine needle aspirates of the breast masses were evaluated in which the subsequent biopsy or mastectomy specimen were also available for histological examination. The age ranged from 16 to 80 years with a mean of 42 years. In benign conditions the mean age was 34.7 years while in malignant cases it was 48 years. The cytological diagnoses were compared with the histological results which revealed that the specificity and sensitivity of fine needle aspiration cytology in the palpable breast lesions was 86.1% and 89.2% respectively with a positive predictive value of 93% and efficiency of 88.2%. Similar statistics from other series in which the cytological results of breast lesions were compared with histological results, revealed almost same results which suggest that fine needle aspiration cytology is an effective and accurate technique for the diagnosis and management of palpable breast lumps

Spinal cord compression: Histologic spectrum of lesions

Histologic diagnosis ultimately determines the prognosis and treatment of lesions causing spinal cord compression. Modem imaging techniques have revolutionized the procedure of localizing lesions pre¬senting with signs and symptoms of spinal cord compression. As a result, these lesions are more accessible for fine needle aspiration and biopsy. A quick diagnosis is possible if cytologic preparation is made. Similarly, intraoperative frozen section facility not only provides rapid diagnosis, but also offers oppor tunity of appropriate management decision there and then. Histology in many cases needs help of special stains and immunocytochemistry. This study looks at the histologic spectrum of these lesions, gender distribution and age range in Pakistani population

Evaluating Two-Stream CNN for Video Classification

Videos contain very rich semantic information. Traditional hand-crafted features are known to be inadequate in analyzing complex video semantics. Inspired by the huge success of the deep learning methods in analyzing image, audio and text data, significant efforts are recently being devoted to the design of deep nets for video analytics. Among the many practical needs, classifying videos (or video clips) based on their major semantic categories (e.g., "skiing") is useful in many applications. In this paper, we conduct an in-depth study to investigate important implementation options that may affect the performance of deep nets on video classification. Our evaluations are conducted on top of a recent two-stream convolutional neural network (CNN) pipeline, which uses both static frames and motion optical flows, and has demonstrated competitive performance against the state-of-the-art methods. In order to gain insights and to arrive at a practical guideline, many important options are studied, including network architectures, model fusion, learning parameters and the final prediction methods. Based on the evaluations, very competitive results are attained on two popular video classification benchmarks. We hope that the discussions and conclusions from this work can help researchers in related fields to quickly set up a good basis for further investigations along this very promising direction.Comment: ACM ICMR'1