nils-herrmann/clean_scirepeval huggingface dataset:
Teacher's Corrective Feedback in Students' Narrative Writing: A Case of an EFL Teacher in MAN Tambak Beras Jombang
Year: 2018

This study analysed the teachers' feedback on students' writing Narrative text. The purposes of the study were to identify types of error corrective feedback used by the teacher in correcting students' narrative text and to find the teacher's reasons for using the types of corfrective feedback. This study applied descriptive qualitative approach. More specifically this study used document analysis and interview to collect the data. The documents analysed in this study was teacher's corrective feedback on students' works. It is found that there were three types of Corrective Feedback used by the teacher based on the theory proposed by Ellis (2008) 'A Typology of Written Corrective Feedback' They were Direct Corrective Feedback, Indirect Corrective Feedback, and Focused Corrective Feedback. Besides, the teacher gave additional comment at the end of students' text. Interestingly, this study also identified that the teacher left the students' errors (Uncorrected Errors) as they were without any feedback. The reason for using Direct Corective Feedback was she wanted to help students understand their errors easily because they would not correct their errors without teacher's guidance. She conducted Indirect Corrective Feedback because of a limited time to do the correction. Next, Focused Corrective Feedback was conducted to meet learning objectives and students would get the highest score if they were able to write good title, the generic structure, and the proper language features. Then, additional comment was done to build good relationship with the students. Finally, Uncorrected errors was conducted since the teacher did not have enough time to correct all errors and most of the students' errors were typical.
Pre Service Teachers' Reflections on Critical Incidents in their Professional Teaching Experiences
Year: 2015

Pre service teachers typically engage in a series of professional development experiences throughout their teacher education courses. These periods of learning enable them to develop as reflective practitioners under the mentorship of experienced school teachers. After these periods of intense learning, sometimes characterised by pedagogic epiphanies, they frequently report extreme experiences of success or failure which influence perceptions of their future teaching career. This study aimed to capture final year pre service teachers' reflections of critical incidents in their past professional experience by especially focusing on their worst lesson experience. The qualitative research approach incorporated elements of critical incident research design from within a theoretical framework of reflective practice. The research was based on the assumption that pre service teachers' experiences during professional practice influence their transition to the complex world of the workplace. Coding and analysis of their responses, gathered during written reflective practice sessions, were undertaken using the constant comparative method to determine the characteristics of their most concerning memories of their teaching experiences and their perceptions of the reasons behind these problematic moments. Findings indicate that, when pre service teachers recall their worst teaching experience, their initial reflections are characterised by emotional distress, followed by concerns about classroom management and planning issues, with some concern also demonstrated about communication and learning issues. Implications of the findings are discussed in relation to course design recommendations and suggested strategies to assist teacher education graduates navigate uncertainty and complexity as they transition to their future workplaces.
Energy Efficiency Optimization in IRS Enhanced mmWave Systems with Lens Antenna Array
Venue: GLOBECOM 2020 2020 IEEE Global Communications Conference
Year: 2020

In millimeter wave (mmWave) systems, the advanced lens antenna array can effectively reduce the radio frequency chains cost. However, the mmWave signal is still vulnerable to blocking obstacles and suffers from severe path loss. To address this problem, we propose an intelligent reflecting surface (IRS) enhanced multi user mmWave communication system with lens antenna array. Moreover, we attempt to optimize energy efficiency in the proposed system. An energy efficiency maximization problem is formulated where the transmit beamforming at base station and the reflect beamforming at IRSs are jointly considered. To solve this non convex problem, we propose an algorithm based on the alternating optimization technique. In the proposed algorithm, the transmit beamforming is handled by the sequential convex approximation method and the reflect beamforming is optimized based on the quadratic transform method. Our simulation results show that the proposed algorithm can achieve significant energy efficiency improvement under various scenarios.
Songs that resonate: the uses of popular music nostalgia.
Year: 2018

This chapter explores the phenomenon of popular music nostalgia. In the cultural and heritage industries, nostalgia is widely used to make an affective connection to music consumers. Popular music nostalgia can be defined as a longing for the past that is evoked through popular music's production and consumption or representations of its history and heritage. This chapter theorises popular music nostalgia as a socially constructed phenomenon in order to understand its relevance to cultural industries and music audiences. To do so, it discusses the central themes that emerge from the growing body of research on popular music nostalgia. Echoing the more complex conceptualisations of nostalgia that have emerged over the years, both the positive and negative aspects of popular music nostalgia are considered. The chapter thus examines how nostalgic narratives are mobilised and interpreted by different actors such as music audiences and cultural industry workers. In so doing, it discusses studies from a diverse range of geographical settings. The sociological approach of this chapter demonstrates how popular music nostalgia is vital in forming a sense of belonging and identity.
An Efficient Algorithm for Server Thermal Fault Diagnosis Based on Infrared Image
Year: 2017

It is essential for a data center to maintain server security and stability. Long time overload operation or high room temperature may cause service disruption even a server crash, which would result in great economic loss for business. Currently, the methods to avoid server outages are monitoring and forecasting. Thermal camera can provide fine texture information for monitoring and intelligent thermal management in large data center. This paper presents an efficient method for server thermal fault monitoring and diagnosis based on infrared image. Initially thermal distribution of server is standardized and the interest regions of the image are segmented manually. Then the texture feature, Hu moments feature as well as modified entropy feature are extracted from the segmented regions. These characteristics are applied to analyze and classify thermal faults, and then make efficient energy saving thermal management decisions such as job migration. For the larger feature space, the principal component analysis is employed to reduce the feature dimensions, and guarantee high processing speed without losing the fault feature information. Finally, different feature vectors are taken as input for SVM training, and do the thermal fault diagnosis after getting the optimized SVM classifier. This method supports suggestions for optimizing data center management, it can improve air conditioning efficiency and reduce the energy consumption of the data center. The experimental results show that the maximum detection accuracy is 81.5%
Automatic target detection in GPR images using Histogram of Oriented Gradients (HOG)
Venue: 2014 2nd International Conference on Electronic Design (ICED)
Year: 2014

Ground Penetrating Radar (GPR) has proven itself to be one of the most popular and reliable geophysical device in subsurface investigation. However, human operators are required to manually interpret the GPR data. In a typical geophysical survey, collected GPR data sometimes can be enormously huge, causing issues such as time consuming and inaccuracy in results due to human errors. In this paper, we present an algorithm that automatically detects hyperbolic signatures in GPR data in B scan model. This developed algorithm is able to mark potential regions that contain the reflections from target of buried objects. Histogram of Oriented Gradients (HOG) was initially developed to detect pedestrians, but it can be also well adapted to detect particular shapes and objects. HOG descriptors are extracted from a set of training images and are trained using a linear SVM classifier. The main purpose of this algorithm is to narrow down the data into possible target reflection regions. After that, we implement Hough Transform to highlight the hyperbolic patterns in the reflection. The results shows that the developed system can perform target detection at an average of 93.75% detection rate for all four test sets.
Relationship Between Personality Features And Social Loafing Behaviors
Year: 2019

The aim of this study is to investigate the relationship between the personality traits (i.e. neuroticism, extroversion, openness, compatibleness and conscientiousness) and social loafing behaviors of candidate teachers. A correlational survey model was used. The sample consisted of 166 students who attend faculty of education and 155 students who attend a teaching certificate program at a state university in Turkey. Five Factor Personality Scale and Social Loafing Scale were used as the data collection tools. In the data analysis, as descriptive analyses, t tests and Pearson correlation test were used. Statistically significant differences on some study variables were detected regarding demographic traits. Correlational findings showed that there were significant and negative correlations among social loafing behaviors and personality traits of neuroticism, compatibleness and conscientiousness among candidate teachers. Moreover, Stepwise Multiple Regression Analysis was conducted to examine to what extent personality traits predict social loafing behaviors. According to findings, conscientiousness and compatibleness were significant predictors of social loafing behaviors.
ESG risks: a new source of risks for the banking sector
Venue: Economic bulletin
Year: 2021

The financial sector has been mandated to support political decisions promoting sustainable development. For the banking sector, ESG (environmental, social and governance) risks constitute a new source of risks which should be identified, evaluated, monitored and managed. Given the novel nature of these risks, this is a challenging task and the purpose of the paper is to clarify concepts, increase awareness and facilitate the assimilation of the regulation into the decision making process. The first part analyses the ESG themes and the transmission channels towards the traditional banking risks. The second part focuses on the initiatives that may facilitate the ESG framework to be introduced into the financial sector. The third part focuses on how banks can incorporate ESG themes into decision making. The ambitious policy agenda in relation to sustainability requires a shifting mindset in the financial sector in order to finance the transformation towards sustainability.
A Deep Learning Approach to Skin Cancer Detection in Dermoscopy Images
Venue: Journal of biomedical physics engineering
Year: 2020

This work proposes a deep learning model for skin cancer detection from skin lesion images. In this analytic study, from HAM10000 dermoscopy image database, 3400 images were employed including melanoma and non melanoma lesions. The images comprised 860 melanoma, 327 actinic keratoses and intraepithelial carcinoma (AKIEC) 513 basal cell carcinoma (BCC) 795 melanocytic nevi, 790 benign keratosis, and 115 dermatofibroma cases. A deep convolutional neural network was developed to classify the images into benign and malignant classes. A transfer learning method was leveraged with AlexNet as the pre trained model. The proposed model takes the raw image as the input and automatically learns useful features from the image for classification. Therefore, it eliminates complex procedures of lesion segmentation and feature extraction. The proposed model achieved an area under the receiver operating characteristic (ROC) curve of 0.91. Using a confidence score threshold of 0.5, a classification accuracy of 84% the sensitivity of 81% and specificity of 88% was obtained. The user can change the confidence threshold to adjust sensitivity and specificity if desired. The results indicate the high potential of deep learning for the detection of skin cancer including melanoma and non melanoma malignancies. The proposed approach can be deployed to assist dermatologists in skin cancer detection. Moreover, it can be applied in smartphones for self diagnosis of malignant skin lesions. Hence, it may expedite cancer detection that is critical for effective treatment.
The utility of medico legal databases for public health research: a systematic review of peer reviewed publications using the National Coronial Information System
Venue: Health Research Policy and Systems
Year: 2016

BackgroundMedico legal death investigations are a recognised data source for public health endeavours and its accessibility has increased following the development of electronic data systems. Despite time and cost savings, the strengths and limitations of this method and impact on research findings remain untested. This study examines this issue using the National Coronial Information System (NCIS).MethodsPubMed, ProQuest and Informit were searched to identify publications where the NCIS was used as a data source for research published during the period 2000 2014. A descriptive analysis was performed to describe the frequency and characteristics of the publications identified. A content analysis was performed to identify the nature and impact of strengths and limitations of the NCIS as reported by researchers.ResultsOf the 106 publications included, 30 reported strengths and limitations, 37 reported limitations only, seven reported strengths only and 32 reported neither. The impact of the reported strengths of the NCIS was described in 14 publications, whilst 46 publications discussed the impacts of limitations. The NCIS was reported to be a reliable source of quality, detailed information with comprehensive coverage of deaths of interest, making it a powerful injury surveillance tool. Despite these strengths, researchers reported that open cases and missing information created the potential for selection and reporting biases and may preclude the identification and control of confounders.ConclusionsTo ensure research results are valid and inform health policy, it is essential to consider and seek to overcome the limitations of data sources that may have an impact on results.
Short term results of suture treatment for pincer nail deformity
Venue: Joint diseases and related surgery
Year: 2020

This study aims to evaluate the cosmetic and functional results of suture treatment on pincer nail deformity (PND)  This study was conducted between June 2018 and November 2018. Sixteen nails of 13 patients (6 males; 7 females; mean age 46.9 years; range, 24 to 74 years) with PND were treated with silk sutures. The pathologic stage (including tissue status and level of pain) visual analog scale (VAS) nail height (H) and width (W) were evaluated pre and postoperatively. Nail H and W were measured pre and postoperatively from digital photographs of each nail and H/W ratio was calculated.  The postoperative VAS, severity of pain scores, and nail H showed a significant decrease compared to the preoperative values (p<0.05) Curvature of the nail and pain scores decreased in all patients. Nail W showed a significant increase, therefore H/W ratio decreased significantly (p<0.05) Although recurrence of cosmetic deformity was seen at six months, the VAS and tissue scores remained lower than preoperative values. Patients reported favorable outcomes compared to their preoperative complaints.  The described suture treatment method is an inexpensive, simple technique, not requiring any special material. These results support that this technique is useful for pain relief and tissue healing even if cosmetic recurrence occurs.
Transmission of Common Foodborne Viruses by Meat Products
Year: 2015

The most common foodborne viruses are single stranded RNA viruses which are adaptable and extremely resistant to environmental stress factors. Usual routes of food contamination are via stool material by persons shedding intestinal virus, or by saliva aerosols generated by shedding persons when coughing. Contamination of meat by animal viruses occurs when good hygienic and manufacturing practice fails. Once within food, viruses cannot replicate since they require living cells for this; hence food is not sensorily altered. Preventive measures in meat processing against pathogenic bacteria frequently have poor antiviral performance, while diagnostic techniques for viruses remain problematic.
Hidden Populations, Online Purposive Sampling, and External Validity
Year: 2015

Online purposive samples have unknown biases and may not strictly be used to make inferences about wider populations, yet such inferences continue to occur. We compared the demographic and drug use characteristics of Australian ecstasy users from a probability (National Drug Strategy Household Survey, n 726) and purposive sample (online survey conducted as part of a mixed methods study of online drug discussion, n 753) using nonparametric (bootstrap) and meta analysis techniques. We found significant differences in demographics and drug use prevalence. Ideally, online purposive samples of hidden populations should be interpreted in conjunction with probability samples and ethnographic fieldwork.
Characterization and Typology of Backyard Small Pig Farms in Jipijapa, Ecuador
Venue: Animals an open access journal from MDPI
Year: 2021

Simple Summary The Jipijapa region in the south of Manabi Province has the maximum contribution to the pig market in Ecuador. In this region, backyard pig production is important for the economy of the small family units. The main objective of this paper was to characterize the traditional systems of Jipijapa's small scale pig producers and determine the farm categories according to the current characteristics of those systems for the implementation of the aid policy in the country. The study identified differences between the seven communities studied for social, productive, and local resource variables. Five types of farms were identified by multifactorial and hierarchic cluster analyses. The aspects that most contributed to the differences between those types of farms were the location, the age, the agricultural activities, the participation of women as owners of farms, the use of indigenous resources in construction, the genetics of the animals, and the food sources used. We determined that the rearing of pigs by small pig farmers of the Jipijapa region is, fundamentally, a social activity and is linked to the crops of each area.  To characterize the traditional systems of small pig producers in Jipijapa (Manabi, Ecuador) and to classify farms into representative categories, we interviewed fifty five farmers from seven communities considering four dimensions: social, organizational, production methods, and local food resources. Multiple correspondence analyses and hierarchical clusters were carried out using the Ward method. The analysis differentiated communities based on social, productive, and local resource variables, showing three factors that accounted for 85.3% of the total variance: the socioeconomic dimension, related to the welfare of families, explained 34.4% of the variation, the care provided to animals explained 30.9% and the management practices for the supply of food explained 20% We identified five clusters that shared common characteristics: Group 1 included farmers from Albajacal, wage workers, and Creole pig breeders, Group 2 included farmers raising pigs under lockdown conditions, Group 3 typified traditional farms from the La Cuesta community, Group 4 included landowners, and Group 5 included professionalized farmers in Colon Alfaro. We also studied the supplied alternative food formulations made up of crop surpluses. The role of small pig farmers is a social activity linked to the location, the crops of each area, and the specific practices for the care of animals.
TUMOR ODONTOGENICO CISTICO CALCIFICANTE (CISTO DE GORLIN) RELATO DE CASO.
Year: 2019

O Tumor Odontogenico Cistico Calcificante e uma lesao descrita como neoplasia cistica benigna de origem odontogenica, que apresenta comportamento clinico variavel. A sua patogenese permanece desconhecida, embora comumente seja aceito que se desenvolva a partir de remanescentes do epitelio odontogenico presentes no interior da mandibula, maxila e gengiva, ocorre com frequencia praticamente igual na maxila e mandibula, cerca de 65% dos casos sao encontrados em area de incisivos e caninos. Mais comum em criancas e adultos jovens da segunda a quarta decada de vida. Relata se sobre um paciente, sexo masculino, 13 anos, com queixa principal: "inchaco no rosto ha sete meses" que apresentou assimetria facial devido a um aumento de volume na regiao de angulo mandibular direito, sem ulceracao intra ou extraoral, com crescimento lento e indolor. Na radiografia panoramica apresentou lesao mista, radiolucida/radiopaca bem circunscrita em regiao de corpo e ramo de mandibula do lado direito, na tomografia computadorizada notou se uma regiao hipodensa bem circunscrita em de corpo e ramo de mandibula do lado direito envolvendo o elemento 47. As principais hipoteses clinicas foram de Cisto Epitelial Calcificante, Tumor Odontogenico Epitelial Calcificante e Ameloblastoma unicistico. A biopsia incisional foi conduzida e microscopicamente foi observado fragmento de capsula cistica revestida por epitelio odontogenico exibindo celulas hipercromaticas e extensas massas de celulas fantasmas eosinofilicas que apresentam calcificacao. Seis meses apos a marsupializacao foi feita a enucleacao e curetagem. Conhecer as caracteristicas da lesao, fazer uma anamnse detalhada e solicitar exames complementares, sao fundamentais para um correto diagnostico desta patologia.
Konseling Logoterapi dalam Penetapan Tujuan Hidup Remaja Broken Home
Venue: KONSELI: Jurnal Bimbingan dan Konseling (E Journal)
Year: 2019

This paper aims to reveal how logotherapy counseling in setting adolescent life goals is broken home, by having a meaningful life humans will find a directed life process, logotherapy counseling invites clients to understand the wisdom of each problem from the beginning of the counseling process. The method used is library research. It can be seen that with 4 steps logotherapy counseling is the stage of forming and fostering rapport, the stage of disclosure and assessment of problems, the stage of joint discussion, and the stages of evaluation and conclusion. The results obtained from the research data sources are that logotherapy counseling can help clients determine their life goals, clients who face fearsome difficulties or are in conditions that do not allow them to move and creativity are helped to find the meaning of their life in how they deal with these conditions and how his suffering. Logotherapy counseling teaches clients to see the positive value of suffering and provides an opportunity to feel grateful for the suffering and problems being experienced by the client