Reviewerly/exHarmony huggingface dataset:
Medical Name Entity Recognition Based on Lexical Enhancement and Global Pointer

Named entity recognition (NER) in biological sources, also called medical named entity recognition (MNER), attempts to identify and categorize medical terminology in electronic records.Deep neural networks have recently demonstrated substantial effectiveness in MNER.However, Chinese MNER has issues that cannot use lexical information and involve nested entities.To address these problems, we propose a model which can handle both nested and non-nested entities.The model uses a simple lexical enhancement method for merging lexical information into each character's vector representation, and then uses the Global Pointer approach for entity recognition.Furthermore, we retrain a pre-trained model with a Chinese medical corpus to incorporate medical knowledge, resulting in F1 score of 68.13% on the nested dataset CMeEE, 95.56% on the non-nested dataset CCKS2017, 85.89% on CCKS2019, and 92.08% on CCKS2020.These data demonstrate the efficacy of our proposed model.
Content-Based Image Retrieval using Encoder based RGB and Texture Feature Fusion

Recent development of digital photography and the use of social media using smartphones has boosted the demand for image query by its visual semantics.Content-Based Image Retrieval (CBIR) is a well-identified research area in the domain of image and video data analysis.The major challenges of a CBIR system are (a) to derive the visual semantics of the query image and (b) to find all the similar images from the repository.The objective of this paper is to precisely define the visual semantics using hybrid feature vectors.In this paper, a CBIR system using encoded-based feature fusion is proposed.The CNN encoding features of the RGB channel are fused with the encoded texture features of LBP, CSLBP, and LDP separately.The retrieval performance of the different fused features is tested using three public datasets i.e.Corel-lK, Caltech, and 102flower.The result shows the class properties are better retained using the LDP with RGB encoded features, this helps to enhance the classification and retrieval performance for all three datasets.The average precision of Corel-lK is 94.5% and it is 89.7% for Caltech, and 88.7% for the 102flower.The average f1-score is 89.5% for Caltech, and 88.5% for the 102flower.The improvement in the f1-score value implies the proposed fused feature is more stable to deal the class imbalance problem.
An Ontology-driven DBpedia Quality Enhancement to Support Entity Annotation for Arabic Text

Improving NLP outputs by extracting structured data from unstructured data is crucial, and several tools are available for the English language to achieve this objective.However, little attention has been paid to the Arabic language.This research aims to address this issue by enhancing the quality of DBpedia data.One limitation of DBpedia is that each resource can belong to multiple types and may not represent the intended concept.Additionally, some resources may be assigned incorrect types.To overcome these limitations, this study proposes creating a new ontology to represent Arabic data using the DBpedia ontology, followed by an algorithm to verify type assignments using the resource's title metadata and similarity between resources' descriptions.Finally, the research builds an entity annotation tool for Arabic using the verified dataset.
Research on the Model of Preventing Corporate Financial Fraud under the Combination of Deep Learning and SHAP

Preventing financial fraud in listed companies is conducive to improving the healthy development of China's accounting industry and the securities market, is conducive to promoting the improvement of the internal control system of China's enterprises, and is conducive to promoting stability.Based on the combination of SHAP (Shapley Additive explanation), a prediction and identification model should be built to determine the possibility of financial fraud and the risk of fraud for the company.The research model has effectively improved the identification accuracy of financial fraud in listed companies, and the research model has effectively dealt with the gray sample problem that is common in the forecasting model through the LOF algorithm and the IF algorithm.When conducting comparative experiments on the models, the overall accuracy rate of the research model is over 85%, the recall rate is 78.5%, the precision rate is 42%, the AUC reaches 0.896, the discrimination degree KS reaches 0.652, and the model stability PSI is 0.088, compared with traditional financial fraud Forecasting models FS model and CS model has a higher predictive effect.In the empirical analysis, selecting a company's fraud cases in 2020 can effectively analyze the characteristic contribution in the fraud process and the focus on fraud risks.The established model can effectively monitor the company's finance and prevent fraud.
Morphometry and Topographic Wetness Index Analysis for flood inundation mapping in Mata Allo watershed (South Sulawesi, Indonesia)

Lorem Along with climate change, natural disasters will occur more frequently such as floods.Floods that occur in watersheds which include various human activities, such as Mata Allo (Indonesia) will especially cause a large enough impact.The elongated shape of the watershed has a slow response to peak discharge and time lag.The Mata Allo watershed is dominated by slopes above 25%→45% (65%) and agricultural land use which accounts for 53% of the area, which has an obvious impact on the amount of runoff and erosion that occurs.The eroded soil will be carried away by surface runoff and deposited in the plains between mountains and river floodplains.Based on the results of the study, the Topographic Wetness Index (TWI) map indicates that the part between the mountains and the floodplain around the Mata Allo river had a high TWI value.A high TWI value indicates a high vulnerability to anticipate flooding in the event of overflowing from the Mata Allo River.River morphometry, land use, and hydrological behavior in a watershed are closely related to the TWI value in the Mata Allo watershed.
The relationship between net migration and financial inclusion in Romania

Romania has been going through a unique demographic transition resulting in depopulation, partially due to consistently high emigration and low immigration rates.The population leaving has been predominantly those of working age.At the same time, Romania has also seen a stagnated financial inclusion growth rate between 2011 and 2017.This research explores the relationship between the age-group-specific net migration rates and agegroup-specific financial inclusion rates provided by Findex.These age groups, which have a significantly strong relationship between net migration and financial inclusion, illustrate the impact of migration on financial inclusion rates.Age groups 25-29, 35-39, 40-44, and 45-49 have shown significantly strong inverse correlations between net migration and financial inclusion.
Geographical and sectoral overview of the most valuable start-ups

Our research aimed to identify the causes for the increase in the number of unicorn start-ups by analyzing the geographical and sectoral factors in two main online databases. The United States, with a traditionally strong innovation ecosystem, is leading the way in creating successful start-ups, but China, India and some European countries are also showing considerable results. The number of unicorns, referring to privately held start-ups worth more than $1 billion, is significantly influenced by qualitative factors (ecosystem development) and the size of the economy (nominal GDP). Therefore, small economies (like Israel) can only be included in the top 10 unicorn countries if their ecosystem is especially developed. The global pandemic has accelerated the digital transformation in several sectors. Fintech, e-commerce, internet, software and AI services are areas where unicorns have been able to achieve significant value growth. Introducing the attributes of these start-ups can be an inspiration for students in economics courses and can serve as illustrative examples in the related curricula.
UJI PERFORMANSI EVAPORATIVE COOLING SYSTEM PADA KUMBUNG JAMUR MERANG DENGAN VARIASI TEKANANNYA

The mushroom cultivation process carried out by farmers is usually in a kumbung measuring 7 meters long, 5 meters wide, and about 3 meters high. According to farmers' confessions, during the dry season or when the weather is sunny (daytime conditions) the temperatur inside the kumbung is relatively high and can reach temperatures of up to 40 oC. These conditions are clearly not in accordance with the optimum conditions of mushroom growth, where the optimum temperature of the mushroom growth ranges from 30 oC - 35 oC. For this reason, it is necessary to apply an air conditioning system in the mushroom room so that its growth can be optimally as expected. The method used to cool the mushroom room is to use high-pressure spray cooling, where the cooling method of the spray cooling is to utilize the evaporative cooling principle of pressurized water spray with the help of a compressor. The water spray pressure in this test will be varied at 5 psi, 10 psi, and 15 psi. From the experiments that have been carried out, the results of the test at a pressure of 5 psi have the highest efficiency, which is about 19,2%, while at a pressure of 10 and 15 psi it has an efficiency of about 34,2 % and 38,7%, respectively. The average room temperature for a pressure of 5 psi is about 34.8 oC, while for a pressure of 10 and 15 psi each has an average room temperature of about 33.7 oC and 33,4 oC. Furthermore, the cost operational for the 5 , 10 , and 15 psi tests have values of about Rp 18.860,- Rp 29.741,- and Rp 40.662,- montly.
IMPLEMENTASI ALGORITMA CLUSTERING DAN ANALITYCAL HIERARCHY PROCESS UNTUK MENENTUKAN PESERTA LATIHAN DASAR ORGANISASI KEMAHASISWAAN TERBAIK

In a training activity, a strategy is needed to form groups and assess the best participants. Also like the Student Organization Basic Training (LDOK) at Satya Negara Indonesia University or elsewhere, good group division will increase the competitiveness of each group. Personality theory and the K-Mean method can provide options for forming training groups with equal distribution of participants' characters. With a balanced competition, it is hoped that the scores achieved by the participants can be optimal in each group. Selection of the best participants using the Analytical Hierarchy Process (AHP) method can be used for this purpose by determining the level of importance of each activity being assessed. The results of this study indicate that these two methods can be used as an option by the implementing committee to optimize the results of the training activities .
Integration of Blockchain, Internet of Things and AI

The next phase of digital transformation will be propelled by technologies like blockchain, the Internet of Things (IoT), and artificial intelligence (AI). In this paper, we suggest that the convergence of these technologies will make possible novel forms of enterprise. Future autonomous agents will function as autonomous profit centers that have a digital twin leveraging IoT, send and receive money leveraging blockchain technology, and autonomously make decisions as independent economic agents utilizing artificial intelligence and data analytics. Further, we suggest that this convergence will propel the creation of such autonomous business models and, by extension, the digital transformation of industrial conglomerates.
SISTEM INFORMASI PENYEWAAN APARTEMEN PAKUBUWONO TERRACE PADA SUN 7 PROPERTY BERBASIS WEB

Today the world of property business continues to grow and develop, even in the current pandemic. Especially the property business In the field of housing and apartments still survives. Likewise for entrepreneurs who develop Pakubuwono Terrace apartments where they see market opportunities for apartments in Indonesia, especially in the Jakarta region, increasingly in demand. All towers in this apartment can be owned by the owners or rented. Many prospective tenants are interested in renting a site in this apartment and asking for a website that can be seen to find out the initial information about the apartment in question, but the apartment manager has been providing information to prospective tenants through telephone service and requires prospective tenants to come directly to see the apartment site they want, and sometimes there is a discrepancy in information submitted by the officer on the ground. Based on existing constraints, it is necessary for researchers to develop methods of conveying information that have been running conventionally into digitalization through website creation by using the waterfall method as a method of development. As a result, this web-based apartment rental information system is able to provide information on units rented in Pakubuwono Terrace apartments, and the management can manage apartment unit rentals better.
STATUS OF CRYPTOCURRENCY IN INDIA

In recent time, cryptocurrency has become a common topic of discussion in India. The legal status of cryptocurrency has caused widespread confusion among the general public. As a result, this article primarily focuses on addressing the present legal status of cryptocurrency in India, as well as its past in India. It also actively addresses the main risks and problems associated with cryptocurrencies, and the alternatives that the government is considering in its place or in other words the future of cryptocurrency in India.
PERANCANGAN SISTEM INFORMASI PENDATAAN WARGA PADA KELURAHAN KEBAYORAN LAMA – JAKARTA SELATAN

Utilization of information systems is very useful in all fields, including in the Kebayoran Lama sub-district where there are still problems, especially in terms of collecting data and searching for citizen data which is quite ineffective and efficient. This is because the old Kebayoralan kelurahan office still does not have a system for collecting data on its citizens. Therefore, the purpose of this study is to design an information system for collecting data on residents in the Kebayoran Lama village, and in this case the author uses the waterfall system design method and before implementing the system that has been built, testing is carried out first using the black box method and the results of the research. What has been made is that the Kebayoran Lama kelurahan is now more effective and efficient as well as a useful means of accessing information on citizen data collection and can more easily provide complete information on citizen data collection.
MOBILE TECHNOLOGY FOR ENGLISH LANGUAGE CLASSROOMS: STUDENTS’ AND TRAINEE TEACHERS’ REFLECTIVE VIEWS OF CELL PHONES FOR ENGLISH LANGUAGE LEARNING AND TEACHING

Even if scholars realize the emergence of cell phones opening up a range of opportunities for ‘learning on the move’, there are not many studies on how they can be used and how students and trainee teachers view them as tools for English Language Teaching and Learning in EFL context. This case study, therefore, aims to explore students’ post-intervention views to mobile assisted lessons, examine trainee teachers’ reaction to the experience of teaching with cell phones and identify issues with learning and teaching reading and listening with Cell phones. To achieve these objectives, twelve trainee teachers’ short-time attachment reports to five secondary schools, one teacher training college and one university on applying cell phones for teaching listening and reading skills as part of the tasks for their Computer Assisted Language Learning (CALL) course during 2015 to 2017 academic years were analyzed. The reports indicated that students viewed cell phones as useful tools for learning reading and listening, but it was also reported that they were concerned with their skills of using cell phones for learning. Similarly, the self-report showed that the trainee teachers themselves viewed the cell phones as helpful tools for teaching reading and listening despite some technical difficulties they faced. Finally, it was recommended that such working cases need to be expanded to other Ethiopian educational contexts and be embraced by as many schools as possible.&#x0D; Keywords: Cell phone; CALL, Reading, Listening, MALL
A Review on Neural Approaches in Image Processing Applications

Abstract: Image processing is the manipulation and analysis of a digitalized image; it especially improves the image quality. Also, it yields indispensable facts about the image processing techniques required for image enhancement, restoration, preprocessing, and segmentation. These methods help to provide earlier object detection and prevent further impacts due to segmentation and classification. Many reviews already exist for this problem, but those reviews have presented the analysis of a single framework. Hence, this article on Machine Learning (ML) in image processing review has revealed distinct methodologies with diverse frameworks utilized for object detection. The novelty of this review research lies in finding the best neural network model by comparing its efficiency. For that, ML approaches were compared and reported as the best model. Moreover, different kinds of datasets were used to detect the objects and unknown users or intruders. The execution of each approach is compared based on the performance metrics such as sensitivity, specificity, and accuracy using publically accessible datasets like STARE, DRIVE, ROSE, BRATS, and ImageNet. This article discloses the implementation capacity of distinct techniques implemented for each processing methods like supervised and unsupervised. Finally, the Naïve Bayes and LMS model achieved 100% accuracy as finest. Moreover, this technique has utilized public datasets to verify the efficiency. Hence, the overall review of this article has revealed a method for detecting images effectively.
MOTIVASI MASYARAKAT BERMUKIM DI KAWASAN RAWAN BENCANA BANJIR

Rajabasa sub-district is one of areas prone to flooding due to the overflow of Way Kandis River. However, there are still many people who live in the flood-prone area for various reasons. This study aims to determine the motivation of people living in flood-prone areas located in Rajabasa sub-district, Bandar Lampung City. The method used is inductive qualitative. The data in the study were obtained by semi-structured interviews with the people of Rajabasa Village who were directly affected by the flood disaster. The data analyzed using induction resulted in a concept related to the motivation of the people to live. Based on the findings of the concepts generated from the research, the motivations of the dweller in flood-prone areas in the Rajabasa sub-district are 1) The lack of options to live in urban areas due to family legacy and nothing land ownership elsewhwere, resulting the acceptance of flooding by the residents; 2) A sense of security with the community that they do not feel threatened and are used to flood disasters; 3) Affordable accessibility of the area which reached by public transportation and connects with schools and workplaces; 4) A sense of comfortable since they have been settled for a long time in the area.
Teaching Experiences "from using" and Suggestions "for using" Online Teaching and Learning in the Views of Greek Teachers

With the suspension of the operation of school units due to the pandemic of the coronavirus in the educational systems of all developed countries, they were called upon to immediately implement the tele-educational process of implementing lessons, within the framework of formal education, in order not to disrupt the learning path of students. However, the implementation of Online Teaching and Learning (OTL) was not an educational possibility that had been sufficiently studied, both in terms of its implementation and its effectiveness in the educational and learning process. Therefore, questions were raised about what its impact on students might be. This question and, at the same time, this research question remains a strong educational and teaching concern, in order to show and also to prove whether similar processes could be used in the future as a new means of education and learning. In this context, the present research attempts to explore the limits and the didactic dynamics and perspectives of OTL in the teaching and learning process, by investigating the views of Greek teachers who applied it as an "urgent" didactic necessity during the period of home confinement of students due to the coronavirus pandemic. The extracted findings contribute to the enhancement of the relevant literature, as well as scientific experience and knowledge about this particular educational method.
Optimized Cover Selection for Audio Steganography Using Multi-Objective Evolutionary Algorithm

Existing embedding techniques depend on cover audio selected by users. Unknowingly, users may make a poor cover audio selection that is not optimised in its capacity or imperceptibility features, which could reduce the effectiveness of any embedding technique. As a trade-off exists between capacity and imperceptibility, producing a method focused on optimising both features is crucial. One of the search methods commonly used to find solutions for the trade-off problem in various fields is the Multi-Objective Evolutionary Algorithm (MOEA). Therefore, this research proposed a new method for optimising cover audio selection for audio steganography using the Non-dominated Sorting Genetic Algorithm-II (NSGA-II), which falls under the MOEA Pareto dominance paradigm. The proposed method provided suggestions for cover audio to users based on imperceptibility and capacity features. The sample difference calculation was initially formulated to determine the maximum capacity for each cover audio defined in the cover audio database. Next, NSGA-II was implemented to determine the optimised solutions based on the parameters provided by each chromosome. The experimental results demonstrated the effectiveness of the proposed method as it managed to dominate the solutions from the previous method selected based on one criterion only. In addition, the proposed method considered that the trade-off managed to select the solution as the highest priority compared to the previous method, which put the same solution as low as 71 in the priority ranking. In conclusion, the method optimised the cover audio selected, thus, improving the effectiveness of the audio steganography used. It can be a response to help people whose computers and mobile devices continue to be unfamiliar with audio steganography in an age where information security is crucial.