Reviewerly/exHarmony huggingface dataset:
Kajian Perbandingan Akurasi DTM Pengolahan Data Foto Udara Menggunakan Metode Otomatis Dan Semi-Otomatis Filtering

Advances in UAV technology produce various superior products that can be utilized for the development and analysis of natural dynamics. One of them is DTM which is a visual representation of the shape of the ground surface that is displayed in 3 dimensions. DTM is obtained from the results of DSM filtering, where all features above the ground are digitally removed using a certain method. To produce a good DTM, a good quality DSM is needed, therefore a Horizontal and Vertical accuracy analysis was carried out based on ASPRS 2015. In this study, two software with different data processing methods were used, namely automatic filtering and semi-automatic filtering from DSM to DTM. To determine the quality of DTM, spot-height data is used as a comparison which is considered to be the actual form in the field. From the series of data processing processes, DTM results were obtained which were then tested for accuracy utilizing statistical validation tests using the calculation of RMSEZ values and non-statistical validation tests (Visual) using the transverse profile method. The test results show that the DTM produced by the PCI Geomatica software with the semi-automatic filtering method has more accurate and precise quality than the DTM from the SAGA GIS software with the automatic filtering method with an elevation value of 1,249 m and RMSEz 3,542 m to the spot-height. Then the visualization of the DTM transverse profile produced by the PCI Geomatica software semi-automatic filtering method to the spot height also does not appear to experience a significant difference where the elevation at Point 1 is 0.5 m and Point 2 is 0.5 m.
Challenges and solutions in the 21st-century law enforcement

Studying the history of policing, we can conclude that the police have faced different challenges from time to time. There are ancient hazards such as fire, flood, or epidemic, and there are hazards that have been created through development, such as traffic hazards after motorisation has become widespread. Technical progress has accelerated over the past two hundred years, leading to a dramatic increase in risks. In the Middle Ages, a wanderer walking on the country road did not expect to be hit by a speeding mail car. By now, it has become natural that countless dangers are lurking in all areas of life that may have to do with policing. The above motivated us to examine what dangers threaten us in the age of globalisation and what answers can be given to the challenges of police in the 21st-century.
Utilization of maternal health care services and ownership and use of mobile phones among Indian women

Background: Even with years of maternal and child health programmes and interventions, maternal and child health issues persist in India. Given the expansion in the ownership and use of mobile phones, mobile health (mHealth) interventions have been designed and implemented to facilitate MCH services. This study aims to assess whether ownership and use of mobile phones by Indian women are associated with the utilization of maternal health indicators such as antenatal carevand institutional delivery services.Methods: This study used the latest publically available data on mobile phone use from a nationally representative household survey (n=12047) to examine the association between mobile phone ownership and use, such as access to the Internet or not, texting facility available on the phone or not with having at least four ANC visits or an institutional delivery. The data fitted survey-adjusted logistic regression models adjusted for women’s autonomy, access to mass media, and other sociodemographic covariates.Results: Household ownership of a mobile phone was positively associated with receiving ANC (OR=1.21; CI=1.08-1.36) in fully adjusted models. Women with access to the Internet and SMS facility also had higher odds (OR=2.87; CI=1.54-5.34) of reporting an institutional delivery and receiving an ideal ANC (OR=1.25; CI=1.01-1.64) in the fully adjusted models Conclusions: Patriarchal social norms potentially affect women’s use of mobile phones. mHealth based maternal and child health (MCH) interventions in India, particularly those targeting underprivileged/disadvantaged women, are unlikely to be effective unless measures are made to increase access to, and autonomy in, mobile phone use. Partnering with social scientists in designing such interventions and other policy-relevant implications are discussed.
HEAVY METALS CONTAMINATION AND WATER QUALITY PARAMETER CONDITIONS IN JATILUHUR RESERVOIR, WEST JAVA, INDONESIA

Waste pollution into the Citarum River (main water source of Jatiluhur Reservoir) was dominated by the manufacturing industry sector (textile, chemical, metal, pharmaceutical). Industrial was the most common contributor to heavy metal waste. Heavy metal contamination into waters will cause any problems, one of which was the emergence of various diseases both short and long term. Based on the issues, the study of heavy metal contamination and also water quality parameter conditions in the Jatiluhur Reservoir was necessary. The heavy metals (Cu, Zn, Hg, Pb, Cd) contents were determined using the X-Ray Fluorescence (XRF) Spectrometry method (for sediment) and Atomic Absorption Spectrometry (AAS) method (for water). The other water quality parameters were analyzed using the methods from the Indonesian National Standard (SNI). Furthermore, the data were compared to the Canadian Sediment Quality Guidelines (for heavy metal in sediment) and water quality standards from Government Regulation of the Republic of Indonesia Number 82 of 2001 (Class 3) (for water quality parameters). Concerning the discussion, Jatiluhur Reservoir was divided into three zones i.e. the inlet area, main inundation area, and outlet area. Conditions in the sedimentary layer, mercury (Hg) have accumulated throughout the Jatiluhur Reservoir area with conditions exceeding the maximum limit, while Cu metal tends to accumulate in the inlet area with conditions exceeding the minimum limit. For other heavy metals, exceed the minimum limit at some locations, but more results were below that. Although all heavy metals have not been detected in water, this was a warning that the presence of heavy metals in sediments can potentially dissolve into the water, the most extreme thing that can happen was upwelling. If this happens, the heavy metals can be contained excessively in water, harmful to and possibly consumed by aquatic biota and human. Considering these conditions, the biota that was most likely to be exposed was benthic organisms. In general, the water quality parameters in Jatiluhur Reservoir meet the quality standards. Only ammonia that does not meet the quality standards for sensitive fish life, regarding the massively of aquaculture activity in this reservoir.
HOTEL RECOMMENDER SYSTEM

While planning for a holiday the first thing that comes in our head is to book a good place to stay. But it is a challenge in finding the best hotel from thousand’s of hotels to choose from. Motivated by this thought we decided to make a hotel recommender system that can recommend hotel based on hotel description and user reviews. A system which is capable of understanding human sentences and applying that understanding of it in our recommendation was a goal for us. In this paper we discuss how hotel recommendation was made possible using user reviews and hotel description. Key Words: Recommendation system, hotel, reviews, Internet, hotel industry
Comparison of the Sentences Written by Journalists using English as Native Language and Journalists using English as Foreign Language. As seen on their articles published as news

News in magazines and newspapers function to give information to the readers. Information in the media is prepared by journalists who work for hunting the news from the source, and who write the information to be articles published in the media. The language used in this publication may vary from local language to international languages, such as the English language. English is a global language learned and used by many people around the world therefore, mass media using English as their platform will cover more readers than those using local language as their platforms. In this research, the writer wants to compare four news articles written by four different journalists from different publishers; they are Text-1 and Text-2 originally written by foreign journalists using English as their native language, then Text-3 and Text-4 written by domestic journalists using English as their foreign language. The aim of this research is to know whether there are significantly different between news written by journalists using English as their speakers and news written by journalists using English as their foreign language. This research is very important for the writer himself as he is responsible for teaching writing subjects for the students of the English Literature Program, Faculty of Social and Humanity, Buddhi Dharma University, Tangerang. This will also be useful for the readers who want to be newsâ€™ writers or journalists to improve their style in writing English sentences so that they sound more English and are easy to understand by the readers.
Special Section on Visualization in Environmental Sciences

• Visualization techniques utilizing environmental observation and simulation data. • Application-focused and developed in close collaboration with domain scientists. • Applications in Climate Research, Meteorology, Oceanography, Hydrology, etc.
Book review: V.V. Mogila “Brain abscesses” (Simferopol: Izd-vo “Forma”, 2021. 302 p.)

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First Trimester Video Saliency Prediction Using Clstmu-Net with Stochastic Augmentation

In this paper we develop a multi-modal video analysis algorithm to predict where a sonographer should look next. Our approach uses video and expert knowledge, defined by gaze tracking data, which is acquired during routine first-trimester fetal ultrasound scanning. Specifically, we propose a spatio-temporal convolutional LSTMU-Net neural network (cLSTMU-Net) for video saliency prediction with stochastic augmentation. The architecture design consists of a U-Net based encoder-decoder network and a cLSTM to take into account temporal information. We compare the performance of the cLSTMU-Net alongside spatial-only architectures for the task of predicting gaze in first trimester ultrasound videos. Our study dataset consists of 115 clinically acquired first trimester US videos and a total of 45, 666 video frames. We adopt a Random Augmentation strategy (RA) from a stochastic augmentation policy search to improve model performance and reduce over-fitting. The proposed cLSTMU-Net using a video clip of 6 frames outperforms the baseline approach on all saliency metrics: KLD, SIM, NSS and CC (2.08, 0.28, 4.53 and 0.42 versus 2.16, 0.27, 4.34 and 0.39).
Designing Heritage Itineraries in Trainee Teachers Through Virtual Inter-University and Collaboration Groups: The Examples of Barcelona and La Laguna in Social Sciences Teaching

In the following paper, we present some general results of an innovative teaching experience carried out by the University of La Laguna (ULL) and the University of Barcelona (UB). The project took place during a 6-week period by applying for cooperative work among early childhood ( n = 109) and primary ( n = 86) education trainee teachers in a selected virtual environment (ULL). One of the key aspects was the inter-university student’s grouping among both bachelor programs (early childhood and primary). The project had two main aims, which are as follows: (1) to familiarize students with heritage itineraries as key tools for the teaching of Social Sciences and (2) to develop professional competencies related to the coordination of teachers among educational levels, teaching, and learning strategies when using historical heritage and improving digital competencies. To achieve these aims, a three-phase intervention was designed (planning, design, and evaluation), all including active learning and the use of local environments as a teaching resource. To investigate the outcomes of the project, two sources of data were analyzed, namely, the results of a rubric and an opinion questionnaire (Cronbach’s α = 0.693), applied pre- ( n = 185), and post- ( n = 152) intervention. The descriptive statistical analysis was carried out with the Statistical Package for the Social Sciences (SPSS; v. 22) showing the positive learning outcomes of the participants. The rubric’s results showed that collaborative work and skills development scored higher, while contents of Social Sciences and the handling of heritage itineraries as teaching strategies were correct but lower than the other parameters analyzed. The questionnaire showed a positive perception of working together in consecutive educational levels and of the uses of digital technology for collaborative work but also indicated some difficulties regarding group organization, especially in the first weeks. The main results of the project highlight several aspects. (1) The need to apply pedagogical, technological, and educational resources to promote active and meaningful learning in future teachers. (2) The need to use virtual environments as learning and communication spaces in inter-university contexts, and (3) the importance of using local environments as scenarios for teaching Social Sciences.
Site Calibration of a Temperature-based Model for Estimating the Global Solar Radiation

In this paper, a commonly used global solar radiation (GSR) model is locally calibrated and tested for Kartepe, Kocaeli station. The coefficients of the model are calibrated for monthly and yearly by performing a regression analysis using the measured temperatures. Regression analysis results for both models provide that correlating the clearness index with the second degree of maximum temperature divided by minimum temperature gives the best accuracy for the selected location. Besides, the estimation results for each month indicate that the monthly calibrated coefficients provide very accurate results in terms of statistical errors. Moreover, yearly calibration of the model gives less accurate predictions. The simple and accurate results by monthly calibrated models using this approach can be used in designing and evaluating solar energy applications in the absence of accurate sunshine data.
Virtual Tour Univeristas Bina Darma Berbasis Android

Bina Darma University is one of the private universities located in the city of Palembang. In providing information about the institution, Bina Darma University has used several methods, including websites, brochures, TV streaming, radio and social media such as Instagram and Facebok. However, from several existing media, it turns out that it still doesn't provide information about the location of the room and also the places around the campus. In this case, researchers are interested in making an information media application to introduce the area around the campus by using virtual tour technology with Android-based mobile technology with an offline system so that it will be easier, because it can be accessed using smartphones or other android-based gadgets without a connection. Internet. The applications used in the manufacture of Andoid applications are Unity 3D. The development method used in building this virtual tour application of the MDLC (Multimedia Development Life Cycle).&#x0D; Keywords: Virtual Tour, Unity 3D, Mobile, Android, MDLC
COMPLETED LOCAL BINARY PATTERN WITH RANDOM FOREST ON IMAGE CLASSIFICATION

The work develops effective machine learning models for image classification. The work also discusses the performance of random forest with completed local binary pattern feature extraction. Texture feature extraction methods, such as completed local Binary Pattern, can be used to address classification problems successfully
Copyright Meets Consumer Data Portability Rights: Inevitable Friction between IP and the Remedies in the Digital Content Directive

Abstract The 2019 Digital Content Directive harmonizes the remedies of consumers in case of a lack of conformity of digital content or a digital service supplied to them by a professional party. Although the Directive is ‘without prejudice’ to intellectual property (IP), there are inherent overlaps with copyright in scenarios where consumers are entitled to terminate the contract. On the one hand, Art. 16(4) provides consumers with a restricted right at the time of termination to retrieve any nonpersonal content which was provided or created by them when using the digital content or service. It is argued that exercising that right can entail infringements of third-party copyright, depending on the circumstances, and that IP may often undermine the very regulatory concept and objectives of this ‘portability right’, particularly when cocreated content is involved. By contrast, traders should not be allowed to reject portability requests by waiving their own IP rights, as this would hamper the effectiveness of the consumer’s remedy. On the other hand, directive-based termination does not necessarily affect the fate of terms licensing or transferring IP rights in consumer content to traders, service providers or their (sub)licensees, because this is primarily a matter for national law. However, it is argued that traders, service providers and remaining service users can only keep relying on those licenses if their uses are within the scope of Art. 16(3) of the Directive, notwithstanding any deviating agreement to the detriment of the consumer.
UPLIFTING THE FARMER THROUGH CONNECTED ECOSYSTEMS

Through this web portal, a farmer can gain access to all the elements of the farming cycle. This portal is just a single platform where a farmer can access information from different aggregators for retailing, leasing and finally taking his produced harvest to the nearest market. This application is to provide a means of easy transaction for all their farming activities and their personal expenses. Crop loans will help them to buy or lease a farm machinery and also have access to all the local vendors for his plantation needs including expert advisors from the local university. Uplifting of farmers Through Connected Ecosystems will help them by providing all the required data which help them in improving their farming activities and helps aggregators to sell their products Our proposed system will reduce the disadvantages of existing system and its help to farmers, general users, aggregators by providing detailed information about harvesting, selling crop and buying fertilizers.
The Third Order Variant Narayana Codes and Some Straight Lines Corresponding to These

In this study, firstly, we examined the second order variant Narayana codes and we got some results from the tables were displayed by Das and Sinha. Then, we studied on the third order variant Narayana code and we displayed these codes for some k positive integers and with tables. Also, we got some results from the tables. Then, we compared the results that we obtained from the tables for the third order variant Narayana universal code and the second order variant Narayana universal code in terms of cryptography. We found that third order variant Narayana universal code are much more advantageous than the second order variant Narayana universal code. Finally, we obtained some straight lines which yielding the some the third order Narayana codewords by considering (u,k) as a point in the (x,y) plane, from these tables.
Clustering of Palm Oil Production Results with K-Means Algorithm in West Aceh Regency

The area and production of oil palm in West Aceh continues to experience a significant increase, because along with the expansion of oil palm plantations in the local area, it is very influential on employment and improving the economy of the community. This study aims to group the results of oil palm production and planted area by applying the data mining technique method with the K-Means Clustering algorithm. The data used in this study in the form of area and palm oil production results were obtained from the West Aceh catalog (BAPPEDA) and the Central Statistics Agency from 2005 to 2020 in 12 sub-districts of West Aceh Regency. The results of the study showed that the high cluster (cluster 1) contained 1 sub-district, namely Kaway XVI, the medium cluster (cluster 0) there were 7 sub-districts namely Bubon, Johan Pahlawan, Panten Reu, Samatiga, Sungai Mas, Woyla Barat, and Woyla Barat, while the cluster low (cluster 2), there are 4 sub-districts, namely Arongan Lambalek, Meureubo, Pante Ceureumen, and Woyla.
Sistem Pakar Diagnosis Penyakit Saraf Motorik Menerapkan Metode Fuzzy Mamdani

Motor nerve diseases are a group of neurological disorders that cause gradual loss of muscle strength. Motor nerves are divided into two types, namely upper motor neurons and lower motor neurons. The UMN originates in the brain and is responsible for sending signals from the brain to the brainstem or to the spinal cord. While the LMN originates from the brain stem and spinal cord, and functions to transmit signals to all muscles. The signals sent are used to regulate body muscle movements, such as walking, gripping, breathing, speaking, or swallowing. When motor nerve function is disturbed, the sufferer will find it difficult to carry out these movements. Problems that occur in the RSU. Mitra Medika Medan in the process of consulting patients who experience motor nerve disease problems, namely the process of diagnosing motor nerve diseases using the services of an expert doctor in the field of motor nerve disease diagnosis by consulting conventional methods, the time needed to serve many patients is less efficient, so long queues can be avoided. so that not a few patients feel disappointed. Overcome problems that occur in RSU. Mitra Medika Medan, it is necessary to have a tool in the form of an expert system that provides diagnostic results in accordance with expert knowledge. Therefore, in this study, the authors built an expert system for diagnosing motor neuron disease using visual-based visual basic net 2008 by applying the Mamdani method as a method of solving diagnostic problems in the expert system that was built
A Systematic Review on Features Extraction Techniques for Aspect Based Text Classification Using Artificial Intelligence

Aspect extraction is an important and challenging and meaningful task in aspect-based text classification analysis. To apply variants of topic models on task, while reasonably successful, these methods usually do not produce highly coherent aspects. In this review, present a novel neural/cognitive approach to discover coherent aspects methods. Exploiting the distribution of word co-occurrences through neural/cognitive word embeddings. Unlike topics that typically assume independently generated words, word embedding models encourage words that appear in similar factors close to each other in the embedding space. Also, use an attention mechanism to de-emphasize irrelevant words during training, further improving aspects coherence. Methods results on datasets demonstrate that approach discovers more meaningful and coherent aspects and substantially outperforms baseline. Aspect-based text analysis aims to determine people's attitudes towards different aspects in a review.