STEMUR: An Automated Word Conflation Algorithm for the Urdu Language

Stemming is a common word conflation method that perceives stems embedded in the words and decreases them to their stem (root) by conflating all the morphologically related terms into a single term, without doing a complete morphological analysis. This article presents STEMUR, an enhanced stemming algorithm for automatic word conflation for Urdu language. In addition to handling words with prefixes and suffixes, STEMUR also handles words with infixes. Rather than using a totally unsupervised approach, we utilized the linguistic knowledge to develop a collection of patterns for Urdu infixes to enhance the accuracy of the stems and affixes acquired during the training process. Additionally, STEMUR also handles English loan words and can handle words with more than one affix. STEMUR is compared with four existing Urdu stemmers including Assas-Band and the template-based stemmer that are also implemented in this study. Results are processed on two corpora containing 89,437 and 30,907 words separately. Results show clear improvements regarding strength and accuracy of STEMUR. The use of maximum possible infix rules boosted our stemmer's accuracy up to 93.1% and helped us achieve a precision of 98.9%.

UNESCO Strategy and Digital Policies for Teacher Training: The Deconstruction of Innovation in Spain

This paper examines initial teacher training policies in the context of youth digitalisation. Based on international ICT competency frameworks for teachers (UNESCO, 2008, 2019) and information literacy, MIL (UNESCO, 2011), we analyse how Spanish (public and private) universities represent digital innovation, and the identity practices of young people, linked to hyperconnectivity. Focusing on initial training received by future secondary teachers, the sample was selected according to the criteria of non-presential learning (online, distance, blended) applied in the teacher training process. Results confirm ongoing deficiencies in critical teacher digitalisation management, highlighting certain asymmetries between the categories constructed. Data reveals the prevalence of intervention more geared towards formal knowledge than towards decoding digital grammar (which is how digitalisation is used in education). The paper concludes by advocating convergence strategies as a circular mechanism that must underpin all teacher training policies in the age of hyperconnectivity.

Formation and Training of Peer Counselors on PKPR and Post-Covid-19 AKB Socialization

Limited knowledge of students about adolescent reproductive health is a problem that is often found in Islamic boarding school. The behavior of teenagers who often wear clothes or towels alternating with friends will be very influential for the reproductive health of adolescents, and it is feared that it could become a medium of spread of covid-19. Therefore, it is necessary to establish youth counselors and training through the provision of information as well as counseling practices on Youth Care Health Services (PKPR) and Socialization of New Habit Adaptation (AKB) after covid-19 in Al-Ittihaad Islamic Boarding School Purbaratu. The purpose of this PKM activity is to train and provide information on the importance of maintaining health by paying attention to adolescent reproductive health behaviors in Islamic boarding school with the implementation of health protocols / adaptation of new habits (AKB), which in the end participants are able to relay the information that has been obtained during the training process to others. The method in this activity is the establishment of youth counselors from santri sons and daughters. Providing training by directly training participants conduct counseling practices to their peers in the post-covid-19 PKPR and AKB. Conduct health protocols to prevent the spread of covid-19 virus in Islamic boarding school. The result of this activity is the increasing knowledge and skills of peer counsellors about PKPR and AKB post-covid-19 in Islamic boarding school.Conclusion is that participants can know and better understand and apply directly the material about PKPR and AKB post-covid-19 in Islamic boarding school.

Detection of Children’s Molars Based on Noise Filter

Pit and fissure sealant is for children aged seven to twelve years to prevent molars from becoming caries. In this paper, we propose a new detection framework to identify whether children need pit and fissure sealing. We divide the framework into two parts: molar detection and molar classification. According to the characteristics of teeth, we propose to use the clustering method to filter the bounding box in the object detection part. In the region divided by clustering, we only keep one detection frame in the same category. In the classification part, we propose a noise filtering layer based on wavelet transform for feature extraction. We map the training samples to another space in the training process based on metric learning to increase the distance between categories and improve the accuracy of classification.

River Segmentation of Remote Sensing Images Based on Composite Attention Network

River segmentation of remote sensing images is of important research significance and application value for environmental monitoring, disaster warning, and agricultural planning in an area. In this study, we propose a river segmentation model in remote sensing images based on composite attention network to solve the problems of abundant river details in images and the interference of non-river information including bridges, shadows, and roads. To improve the segmentation efficiency, a composite attention mechanism is firstly introduced in the central region of the network to obtain the global feature dependence of river information. Next, in this study, we dynamically combine binary cross-entropy loss that is designed for pixel-wise segmentation and the Dice coefficient loss that measures the similarity of two segmentation objects into a weighted one to optimize the training process of the proposed segmentation network. The experimental results show that compared with other semantic segmentation networks, the evaluation indexes of the proposed method are higher than those of others, and the river segmentation effect of CoANet model is significantly improved. This method can segment rivers in remote sensing images more accurately and coherently, which can meet the needs of subsequent research.

Utilizing Half Convolutional Autoencoder to Generate User and Item Vectors for Initialization in Matrix Factorization

Recommendation systems based on convolutional neural network (CNN) have attracted great attention due to their effectiveness in processing unstructured data such as images or audio. However, a huge amount of raw data produced by data crawling and digital transformation is structured, which makes it difficult to utilize the advantages of CNN. This paper introduces a novel autoencoder, named Half Convolutional Autoencoder, which adopts convolutional layers to discover the high-order correlation between structured features in the form of Tag Genome, the side information associated with each movie in the MovieLens 20 M dataset, in order to generate a robust feature vector. Subsequently, these new movie representations, along with the introduction of users’ characteristics generated via Tag Genome and their past transactions, are applied into well-known matrix factorization models to resolve the initialization problem and enhance the predicting results. This method not only outperforms traditional matrix factorization techniques by at least 5.35% in terms of accuracy but also stabilizes the training process and guarantees faster convergence.

Effect of gender, carrying and planting the pole on approach step parameters in young pole vaulters

In pole vaulting, take-off speed is considered as a major determinant of performance. Pole carriage could affect the speed acquired during the approach and at the take-off. This study investigated different types of runs performed randomly by young male and female expert athletes: maximal sprint, maximal pole carriage run, maximal run-up with simulated pole plant and competition situation. Speed profile was determined with a radar gun and spatiotemporal parameters were recorded for the last 20 m of the approach with the Optojump Next system. For both genders, mechanical variables were compared using two-way ANOVAs with repeated measurements. Pole carriage represents the main cause of speed decrease for both men (−5.8%) and women (−6.2%). A step rate decrease during pole carriage was pointed out with an increase of contact time for both men and women. Significant speed decrease was observed for women at the take-off compared to pole plant simulation (−4.3%), while not for men. Those results provide a new insight for pole vault training allowing to update training process with specific exercises leading to reduce speed loss at take-off.

Research on labor consumption and rescuers’ physiological parameters progress in the case of practical training in a mobile training facility

An important factor in ensuring success in an intervention operation in dangerous environments lays in the training process, in conditions as close as possible to real intervention situations, as well as the manner of setting up rescue teams. In order to organize the intervention process as efficiently as possible, when setting up rescue teams we must take into account work consumption and physiological parameters achieved by members of the rescue teams during practical training carried out within the mobile training facility. In case of special incidents, the rescue intervention can take place in areas with small (limited) sections, spaces with high temperature, in low visibility conditions, which would make rescuers’ intervention even more difficult. Conditions mentioned above can be easily created within the rescuers’ mobile training facility, endowment of INSEMEX Petroșani, facility that through its equipment and facilities, allows monitoring of labour consumption and physiological parameters of rescuers throughout and in all training situations. The current paper presents training methods of intervention and rescue personnel within the mobile training facility and progress of work consumption / physiological parameters of rescuers throughout these practical exercises, with the aim of preparing intervention and rescue teams for situations close to real ones.

Research on rescuers’ training process in toxic / explosive / flammable environments

The paper presents the structuring of physical effort put in by rescuers during training, taking into account the activity specific psychosocial factors, structuring that aimed at streamlining the training process of intervention and rescue personnel in toxic / explosive / flammable environments. Training routes with various degrees of difficulty, allowing the simulation of intervention activities in horizontally and vertically confined spaces, low visibility, high temperature and humidity environments were analysed, for each the specific labour consumption being calculated. A dysfunctional phenomenon caused by the intervention and rescue activity is fatigue, perceived as a body reaction to readjust and restore its functions following intense or repeated body requests for energy consumption. Not only physical fatigue (which can be controlled through exercises) is specific for rescue and intervention activity but also mental fatigue. In addition to physical and technical training, psychosocial training of people who carry out intervention and rescue activities was followed in the training programs.

Professional Education and Training in Indonesia

The professional training of the judges may influence their interpretation of justice. In terms of the training of judges, the influence of training may shape the judicial interpretation of justice. Despite the absence in the literature on the formation of the professional identity of the judiciary in Indonesia, Indonesian judges develop their professional identity through a training process which enables them to consider ‘justice' in their sentencing. The authors found that trainee judges learn the three most important forms of justice: legal justice, moral justice, and social justice. Concerning sentencing, the primary aim of training is to raise awareness of some of the tensions between those three forms of justice when sentencing. The judge will also learn from training that judges would be required to reconcile the often-competing forms of justice. In this chapter, the authors furtherconsider the way the judges reconcile the often-competing forms of justice.