Reviewerly/exHarmony huggingface dataset:
Performance analysis of multi-source wireless multimedia content delivery

In order to create an improved experience in variable network delivery conditions, immersive multimedia content can be delivered over existing network environments, from multiple sources. These sources are normally servers located in the cloud, in various locations. Storytelling and certain related content, such as the immersive opera multimedia data in the context of the European Horizon2020 project TRACTION, require multimedia players to be able to receive content simultaneously from several locations, and at times, merge the content, creating new content in real-time. For instance, 360° recordings and polygonal 3D content can be delivered from different locations,and the end-user receives the unified content on his or her device. This paper introduces a study of how devices can be analysed, in terms of metrics, when receiving multimedia content from multiple sources, as the network and the devices have constraints regarding performance and video quality.
Geochemical Characterisation of Anatexite within High Grade Migmatite Complex Terrain from Ogbomoso, Southwest of the Nigerian Precambrian Basement Complex

Migmatite rocks are complex rocks largely due to the degree of partial melting and nature of parent rocks of this rock type. Partial melting or anatexis yield metatexite and diatexite components with variable mineralogical and chemical compositions. The nature of fractionation of elements during anatexis is not clearly understood. The migmatite quartzite gneiss complex of southwestern Nigeria exposed at Ogbomoso was studied in order to constrain the geochemical character of its metatexite and diatexite components.  Field mapping revealed migmatite with stromatic, surreitic and dictyonitic structures represented the metatexite while parts of the migmatite with schollen structure and granitic component represent the diatexite. Several sections of representative samples were cut and examined for mineralogical compositions. Thin section analysis revealed occurrence of hornblende and garnet with plagioclase, microcline, biotite and muscovite implying greenschist to amphibolite facies for the migmatite quartzite gneiss complex. Twelve representative samples were selected and analysed for their elemental concentrations using the Inductively Coupled Plasma Mass Spectrometry (ICP-MS).Major oxide geochemical data revealed a silica enriched migmatite with schollen structure having moderate alkali concentration while the granitic component and porphyroblastic gneiss with lesser silica concentrations showed relative Na2O and K2O enrichments respectively. Classification plots demonstrated that the migmatite of the study are ortho gneisses and have a Tonalite Trondjhemite Granodiorite (TTG) parentage. Trace element ratios revealed that the diatexite had lower than average upper continental crustal values for Nb/Ta ratio while the metatexite revealed average values slightly above 12. Normalised REE plot discriminated the migmatite with schollen structure as parts having HREEs closest to chondrite values.
The New Cybersecurity Landscape – How Are Finnish Companies Faring?

Cyber threats are rapidly increasing around the world. In Finland, the amount of data breaches has doubled in a couple of years. The cost of being targeted for a cyber attack is estimated to increase even more rapidly. However, the economic effects of cyber threats on the Finnish economy are not comprehensively understood. Especially, very little is known about the state of microenterprises in this regard. While the level of cybersecurity in Finnish companies is above the European average, Finland is falling behind the top countries according to many different indicators. Especially data leaks appear to be particularly challenging for Finnish companies. The global demand of cybersecurity products and services is growing quickly. In Finland, however, this growth is restricted by a shortage of skilled cybersecurity professionals. As Finland invests heavily in the improvement of digital skills, the question arises whether these efforts are focused correctly in regards to competences in cybersecurity.
TMU Japanese-English Multimodal Machine Translation System for WAT 2020

We introduce our TMU system submitted to the Japanese English Multimodal Task (constrained) for WAT 2020 (Nakazawa et al., 2020). This task aims to improve translation performance with the help of another modality (images) associated with the input sentences. In a multimodal translation task, the dataset is, by its nature, a low-resource one. Our method used herein augments the data by generating noisy translations and adding noise to existing training images. Subsequently, we pretrain a translation model on the augmented noisy data, and then fine-tune it on the clean data. We also examine the probabilistic dropping of either the textual or visual context vector in the decoder. This aims to regularize the network to make use of both features while training. The experimental results indicate that translation performance can be improved using our method of textual data augmentation with noising on the target side and probabilistic dropping of either context vector.
Detection of Disaster Affected Regions Using Drone-assisted Deep Learning Model

Monitoring of disasters is crucial for mitigating their effects on the environment and human population, and can be facilitated by the use of unmanned aerial vehicles (UAV), equipped with camera sensors that produce aerial photos of the areas of interest. A modern technique for recognition of events based on aerial photos is deep learning. In this chapter, we present the state of the art work related to the use of deep learning techniques for disaster identification. We demonstrate the potential of this technique in identifying disasters with high accuracy, by means of a relatively simple deep learning model. Based on a dataset of 1988 images (containing disaster images such as fires, earthquakes, collapsed buildings, tsunami, and flooding, as well as ‘non-disaster’ scenes), our results show an accuracy of 89% achieved, indicating that deep learning, combined with UAV equipped with camera sensors, have the potential to predict disasters with high accuracy.
Performance Modeling Bending Pavement Layer Towards Geometric Variations of the Street

Buduan - Bondowoso link 216 is a provincial primary collector road that connects Probolinggo Regency with Bondowoso Regency which has a length of about 31 kilometers. Slope of the road that has a width of 6 to 7 meters is very varied because this road passes through the hills. This road also has many double bends which are small enough to bend the fingers because of the limited topography that is traversed. When passing a double bend in the incline or a derivative vehicle tends to reduce speed so that the impact on road pavement conditions due to the friction of the wheel with the pavement surface. On the other hand, the thickness and type of pavement are planned to be the same for each field condition so it is certain that the segment will suffer faster damage than the other segments. Researches related to road performance with various methods have been carried out including evaluation of road conditions and its handling by Hendrick S, et al (2014) and Daryoto, et al (2014). The purpose of writing this article is to look for relationships between terrain conditions and the level of road pavement damage that not many people do, assisted using the PCI method in classifying road damage and then PCI data is processed with Microsoft Excel using polynomial regression so that a graph appears to determine whether there is a relationship between terrain conditions with the degree of damage to the road pavement. From the results of the analysis obtained values ​​for PCI and Slope of the length of the road obtained values​ = 0.068 and Y = 1,7005x + 79.40 which shows that the PCI affects the slope of the road length is only 6.8% while 93.2% is influenced by other factors. Then for PCI and radius get the value of  = 0.0243 and Y = -0,002+0,2955x+82,271 which shows PCI affects the radius of only 2.4% while 97.6% is influenced by another factor. Then for PCI and the degree of arcing get the value = 0.0041 and Y = -0.0278x +90.718 which shows the PCI affects the degree of arcing is only 0.41% while 99.59% is influenced by other factors.
INCREASING STUDENTS’ VOCABULARY MASTERY BY USING WORD WALL METHOD OF THE SECOND GRADE AT SMP NEGERI 4 TOLITOLI UTARA

The objective of this research is to identify the used word wall method in increase students’ vocabulary. An experimental design is used to collect the data. The researcher take the second grade of SMP Negeri 4 Tolitoli Utara as object of the research.The data are obtain through a pre-test and post-test. The pre-test is used to measure the students previous ability in memorizing vocabulary, the treatment are apply materials through word wall method, and the post-test is use to find out the students’ vocabulary after give the treatment.The result of the analysis show the effectiviness of word wall in increasing vocabulary. It can be see by the difference of the mean score between pre-test and post-test. The mean score of pre-test is 18.67 while in the post-test improve up to 47.89. Moreover the Minimum Mastery Criterion of English lesson is 75 (seventy-five). Then the data of both test are analyze by using T-test, and the result show that the T-test value 14.030 is greater than T-table value 2,048. It can be infer that word wall method is very effective in increasing students’ vocabulary in memorizing vocabulary. Key words: word wall, vocabulary, memorize vocabulary .
LibGuides: March is Reading Month: Nonfiction Books

This LibGuide is for a public library's March is Reading Month reading challenge. The target audience is elementary school-aged library patrons and their parents. Find nonfiction books for all reading levels.
SoMIAP: Social Media Images Analysis and Prediction Framework

The personal photos captured and submitted by users on social networks can provide several interesting insights about the location of the user, which is a key indicator of their daily activities. This information is invaluable for security organisations, especially for security monitoring and tracking criminal activities. Hence, we propose in this paper a novel approach for location prediction based on the image analysis of the photos posted on social media. Our approach combines two main methods to perform the image analysis, place and face recognition. The first method is used to determine the location area in the analysed image. The second is used to identify people in the analysed image, by locating a face in the image and comparing it with a dataset of images that have been collected from different social platforms. The effectiveness of the proposed approach is demonstrated through performance analysis and experimental results.
Stock Evaluation: A Predictor for Effective Management of University Library Resources

The study investigated stock evaluation of resources in academic libraries. The population consisted of all librarians in three universities in Nigeria, University of Port Harcourt, University of Ibadan, and University of Benin. Using convenient sampling method all 69 respondents were chosen as sample. The instrument for data collection was self-designed. Data were analyzed using the mean score, independent t-test, and analysis of variance (ANOVA). The findings show that library resources are adequate and currency. The resources are useful, relevant, and have a wide scope of coverage but lack in-depth coverage. Improper funding, facilities, and inadequate requisite skills are among the challenges facing stock evaluation. The study suggested means to ameliorating the identified challenges and amongst all recommended that efforts should be made by the Nigerian university libraries to put in place adequate facilities, funding, and equipment to facilitate stock evaluation
LibGuides: Library Information for History Graduate Students: Remote Research Support & Online Teaching and Learning Resources

This guide provides an overview of the library resources and remote services available for our graduate students.
A study on the image of school staff and faculty members responsible for schools and community development in a declining population-Focusing on Korean teachers

In rural areas of Japan and South Korea, where some small populations are situated, schools take on a great importance because they foster a sense of community and vibrancy in a village. The problems associated with these smaller schools is exacerbated by many factors, such as declining populations, as more and more people move from rural areas to larger towns and cities. Japan, in particular, is experiencing challenges with schools in the low upland areas closing. One of the big challenges with the closures of rural schools is how the children in these communities can access education. Professor Kimiko Ozaki has established a collaborative project with researchers in Japan and South Korea. Based within the Department of Human Science and Environment at the University of Hyogo in Japan, Ozaki has embarked on a study that aims to understand the future implications of the situation for Japan by looking at the current environment in South Korea.
Aplikasi Pencatatan Keuangan Berbasis Web

CV. Dua Putra Satu Putri (DPSP) is one of the CVs located in Gorontalo District, Limboto Sub-district, Polohungo Village. Cash in and cash out data recording is still currently done conventionally. Financial data is recorded in a daily journal, which will later be processed into daily work reports. In the recording process, errors often occur, which result in delays in the process of making other reports. In addition, searching for data takes a long time because there is no good grouping of financial data. Based on that problem, it is important for CV. Dua Putra Satu Putri (DPSP) to apply a computerized accounting information system that functions to support the smooth running of business processes, improve the quality of reports, and also as the first step towards changes to the old system used by CV. Dua Putra Satu Putri (DPSP). This study aims to facilitate heavy equipment owners in the financial chart in the payment process for heavy equipment rental services at CV. Dua Putra Satu Putri (DPSP). The owner no longer recaps data in a handwritten manner, thus simplifying the process of managing financial data and making it easier for the owner to get a financial report result faster. The system development method used is the Prototype method by using the PHP programming language and MySQL database.
KARAKTERISTIK PASANG SURUT DAN FENOMENA BANJIR ROBDI KOTA SEMARANG

Semarang City is located in a relatively low area, at an altitude of three meters above sea level. In certain regions there is even one meter above sea level. In mountainous areas it has a height of 90-359 meters above sea level while in low-lying areas it has a height of 0.75 - 3.5 meters above sea level. Because of its low location, when heavy rains or sea tides can cause flooding. The existence of a high rob in Semarang greatly disrupts the daily activities of people living in the coastal area of Semarang City, so it is necessary to study the tidal characteristics and tidal floods that occur in the city of Semarang. The general tidal type that occurs in Semarang is the type of tidal mix of single daily inclines (Mixed Tide, Prevailing Diurnal). The method used in conducting research is by conducting observations both directly and using digital equipment that is already available. By carrying out this research will produce data that can be used in daily life such as estimating when and at what time the tidal flood will come and take immediate precautions. So it can be concluded that rob flood can be anticipated by estimating when will come and immediately take preventive measures such as building a bull or installing a water pump to restore sea water that meets the land.Keywords: Characteristics, Phenomenon, Floods, Rob, Tides
Cybercrime

This paper presents the nature, effects, and dynamics of cybercrime in Nigeria and its effects to economic development in the country. The paper is sourced for secondary data through, journals, periodicals and publications as well as obtained primary data from the field. Primary data was sourced through the distribution of 66 questionnaires using the purposive sampling technique. Findings revealed that there exists an insecure cyberspace in Nigeria and the activities of the cybercriminals affects the economy negatively by discouraging Nigerians from partaking in electronic services/transactions, thus discouraging Nigerians from accepting the concept of digital economy. Findings also revealed that activities such as unauthorized access, hacking and cracking, online fraud, identity theft, cyber terrorism, amongst others were dominant threats in the cyberspace and finally the cyberspace provide jobs and by implication contribute to the socioeconomic development of the Nigerian State. Recommendations proffered include the federal government to train and retrain forensic experts in all financial/security agencies towards achieving a secured cyber space and the need for the federal, state, and local governments to create awareness amongst others.
MODEL PEMBIASAAN KYAI DALAM MENINGKATKAN KECERDASAN EMOSIONAL SANTRI DI PONDOK PESANTREN PANGLEBURAN DESA GLEMPANG KECAMATAN MANDIRAJA KABUPATEN BANJARNEGARA

The general objective of this research is to know the management of education marketing based on information technology at Purba Adhi Suta Elementary School.The specific objectives of the study; (1) to know the conception of education marketing based on information technology (2) management in education marketing strategy based on information technology (3) to know the supporting and obstacle factor of education marketing based on information technology. This research is method qualitative with approach of descriptive. Data collection techniques through in-depth interviews, observation, and document analysis. Data analysis techniques with data reduction steps, data presentation, and draw conclusions. Research result; 1) Based on the concept of marketing mix, the marketing which based on information technology- at Purba Adhi Suta Elementary School is described in the content / product advantages, the methods and media of marketing which based on information technology has attracted the public to become school choice, 2). Supporting factors are physical building, curriculum, human resources, school accreditation, achievement, extracurricular and varied activities, special advantages, marketing strategy especially technology-based information.
The Implementation of SQ3R Method to Improve Reading Comprehension. (A Classroom Action Research at the Tenth Grade of Vocational High School Budi Utama Panimbang-Pandeglang in Academic Year 2019-2020)

Suci Herawati, 161230088, 2020. The Implementation of SQ3R Method to Improve Reading Comprehension. (A Classroom Action Research at the Tenth Grade of Vocational High School Budi Utama Panimbang-Pandeglang in Academic Year 2019-2020). This research improving the implementation of SQ3R method to improve reading comprehension. The background of the study in this research is based on the problem as follow: 1) some students are lack of vocabulary, 2) reading motivation is low, 3) Reading comprehension is low. The problems of this research can be stated as follows: 1) How is the implementation students’ reading comprehension before using SQ3R method, 2) How is the implementation students’ reading comprehension after using the sq3r method?. The study was conducted at SMK Budi Utama Panimbang in the academic year of 2019-2020. The implementation of SQ3R method to improve reading comprehension at SMK Budi Utama Panimbang is a Classroom Action Research which is aimed improving students reading comprehension. Those research was conducted in one cycle. The subjects were twenty two students. The instruments which are used to collect the data are observation and test. Based on the result of the research, it can be concluded that using SQ3R method can improve students reading comprehension
Deep Learning-based 3D Hand Pose and Shape Estimation from a Single Depth Image: Methods, Datasets and Application

3D hand pose and shape estimation from a single depth image is a challenging computer vision and graphics problem with many applications such ashuman computer interaction and animation of a personalized hand shape inaugmented reality (AR). This problem is challenging due to several factorsfor instance high degrees of freedom, view-point variations and varying handshapes. Hybrid approaches based on deep learning followed by model fittingpreserve the structure of hand. However, a pre-calibrated hand model limitsthe generalization of these approaches. To address this limitation, we proposed a novel hybrid algorithm for simultaneous estimation of 3D hand poseand bone-lengths of a hand model which allows training on datasets that contain varying hand shapes. On the other hand, direct joint regression methodsachieve high accuracy but they do not incorporate the structure of hand inthe learning process. Therefore, we introduced a novel structure-aware algorithm which learns to estimate 3D hand pose jointly with new structural constraints. These constraints include fingers lengths, distances of joints alongthe kinematic chain and fingers inter-distances. Learning these constraintshelp to maintain a structural relation between the estimated joint keypoints.Previous methods addressed the problem of 3D hand pose estimation. Weopen a new research topic and proposed the first deep network which jointlyestimates 3D hand shape and pose from a single depth image. Manually annotating real data for shape is laborious and sub-optimal. Hence, we created amillion-scale synthetic dataset with accurate joint annotations and mesh filesof depth maps. However, the performance of this deep network is restricted bylimited representation capacity of the hand model. Therefore, we proposed anovel regression-based approach in which the 3D dense hand mesh is recoveredfrom sparse 3D hand pose, and weak-supervision is provided by a depth image synthesizer. The above mentioned approaches regressed 3D hand meshesfrom 2D depth images via 2D convolutional neural networks, which leads toartefacts in the estimations due to perspective distortions in the images. Toovercome this limitation, we proposed a novel voxel-based deep network with3D convolutions trained in a weakly-supervised manner. Finally, an interestingapplication is presented which is in-air signature acquisition and verificationbased on deep hand pose estimation. Experiments showed that depth itself isan important feature, which is sufficient for verification.
Deasetilasi Kitin Cangkang Rajungan (Portunus pelagicus) Menjadi Kitosan Menggunakan Iradiasi Microwave

The crab shell (Portunus pelagis) is still an untapped waste , especially on Bangka Island. Actually, this shell has a high value because there is chitin and chitosan . Chitosan is a biopolymer which has recently been developed into adsorbents, membranes and edible films. The deacetylation process of chitin will be the key to the quality of chitosan produced. Therefore, the purpose of this study is to see the effect of the chitin deacetylation process into chitosan using a microwave. Microwave deacetylation process is carried out with various time variations at 1200 W and 100 o C. Characterization and degree of deacetylation (DD) of chitosan crab were analyzed by Fourier Transform Infrared (FTIR) spectroscopy. The results showed that deacetylation using conventional methods for 120 minutes at a temperature 100 o C had DD 76.67% while deacetylation using microwave for 40 minutes at a temperature of 100 o C had a DD  77.89%. Microwave deacetylation is three times faster than conventional methods.