Reviewerly/exHarmony huggingface dataset:
How to Digitally Transform the Communication of the Weather Forecast Science using an Intelligent Systems Approach

Communicating the science of weather forecasts to the general public has been a difficult task due to three main challenges inherent in any forecast: ambiguity of interpretation, uncertainty and probabilities logic.Moreover, forecasts are not meaningful and actionable to the recipients since they are not tailored to the perception of how they live the weather conditions.This paper presents a research roadmap for designing an intelligent system capable of producing massively personalized weather forecasts through a co-creation process as well as an abstract systems architecture model pertinent for the implementation that will enable experimentation and the proof of the concept.
Confronting The Challenges of Insecurity in Ondo State: The Role of Geospatial Surveillance and Mapping

The situation of insecurity in Nigeria has ignited different levels of government to form their security networks. One such effort was made by the Ondo State Government by creating Amotekun Security Network for Ondo State. This is to improve the security of life and property of people in the state. This was a result of the persistent siege laid by marauders on the highways and farms in the state. There is no doubt about the good intensions of the Governor which he has backed up with action in the inauguration of Amotekun Security Network for Ondo State. However, the trend of combatting crime and terrorism in this 21st century has gone more sophisticated to the extent that conventional security architecture has become grossly inadequate, thus the need to upgrade security architecture to the level whereby security system and the personnel can combat the crime and even nip it in the bud before attacks. This can only be possible by complementing the conventional structure with available geospatial apparatus for security surveillance in confronting the challenges of insecurity not only in Ondo State but Nigeria at large. This paper thus appraises the challenges of insecurity in Ondo State and the role of geospatial surveillance and mapping. The paper was based on a review of literature and qualitative technique of analysis. This paper was structured into background information about Ondo State, an overview of security challenges in Nigeria with attention on Ondo State, the take-off of Ondo State Security Network Agency called Amotekun, and highlights on geospatial technology solutions for security surveillance in confronting insecurity challenges. This paper thus concludes that insecurity in Ondo State and the entire Nigeria could be curbed if security network can be complemented with geospatial surveillance and mapping technique.
Correlation between geochemical parameters and topography of geocovers of quartzitic relief at tropical area: study case in Serra da Canastra, Brazil

&amp;lt;p&amp;gt;Geocovers contribute to the analysis of geomorphological processes that occur/occurred on the surface, serving as witnesses of these processes. Quartzitic regions tend to present incipient unconsolidated geocovers and are often characterized by rocky outcrops, even under humid tropical climates. The degree of weathering of geocovers and its relationship with the topography in these environments are still poorly understood. In this sense, the objective of this work is to analyze the relationship between topography and mineralogy of the clay fraction found in geocoverings developed on quartzitic relief, in a case study in Serra da Canastra, Chapad&amp;amp;#227;o do Diamante (ChD). We carried out a previous compartmentalization of the landscape into three main patterns, from which we selected three representative slopes for the survey of transects, from the interfluve to the valley floor. Thus, we selected nine geocoverage samples to perform the X-Ray Diffractometry (XRD) analysis, and analyzed the results using the exploratory multivariate technique of Principal Component Analysis (PCA). The results suggest a correlation between the identified minerals, their position on the slope and the characteristics of concavity and the presence of natural barriers. In the first transect, in very incipient geocoverings, minerals were found indicative of highly weathered environments and with poor drainage, such as Kaolinite and Illite, indicating greater permanence of water in the environment, due to small structural traps that allow the storage of products of quartzite weathering. In the second transect, the samples showed oxides and hydroxides of Fe and Al, which demonstrate the advanced degree of weathering in the area, which can constitute lateritic geocoverings, when in large quantities. The last transect, with deeper geocovers, in high slope, presented Goethite and Siderite, indicating a poorly drained environment, with water remaining longer in the system. This study revealed that mineralogical analyzes of materials from quartzite sample areas in a humid tropical environment may indicate that these areas refer to the management of the balance between the resistance of the quartzitic parent material and the intensity of weathering on the one hand, and the position and topographic shape of the slope can influence the weathering degrees of another.&amp;lt;/p&amp;gt;
Using Audiovisual Media for Improving the Reading Comprehension Ability of Elementary Students During the COVID-19 Pandemic in Sidoarjo, Indonesia

This study analyzed the reading comprehension ability of grade-four students at SDN Kepunten before and after implementing the audiovisual media during the COVID-19 pandemic. The study used a qualitative design with a descriptive approach in the form of a case study. Data were collected via interviews, observation, and documentation. The collected data were analyzed through data reduction, presentation, and verification, and by concluding. The findings of this study revealed that audiovisual media is indeed beneficial in developing fourth-grade students’ reading comprehension skills during the COVID-19 pandemic. Teachers and students generally use WhatsApp as an online learning communication tool at all stages, namely, the planning, implementing (comprising initial, core, and closing activities), and closing (evaluation) stages.&#x0D; Keywords: audio visual media, reading comprehension
ANALISIS LOGIKA FUZZY MAMDANI DALAM OPTIMISASI HARGA JUAL JAGUNG

At this time the type of crop that is most often planted is corn because it is a plant that is easier to grow than other secondary crops and the cost is also relatively less and the process is not complicated. The profit from the harvest depends on the selling price and the capital used. So that there is uncertainty in determining the profits of the farmer. Given the uncertainty, it is necessary to optimize the selling price. To optimize the selling price, fuzzy logic can be used. Fuzzy Mamdani is a method that is very flexible and has tolerance for existing data or is usually referred to as secondary data. The data obtained is data collected from Uluan District which is known by the local government in Uluan District. Where the data is data from the community in each village starting for 12 periods of planting corn. By using the Mamdani method, the optimum selling price in the first period of 2012 was Rp. 2,644,-.
Elucidation of the Phytoplankton Distribution at an Egyptian Ramsar Site (Burullus Lake, Egypt) using Alpha Diversity Indices Supported with RS and GIS Maps

This study was conducted to detect the effect of nutrients on the microscopic count of phytoplankton and chlorophyll-a concentration.Water samples were collected from nine selected stations in Lake Burullus, Egypt in October 2020.Integration of remote sensing (RS) data was assessed to estimate and determine the distribution of the phytoplankton groups in the lake during two different periods.Results showed high levels of nutrients and chlorophyll (indication to trophic levels), especially behind the drains' outlets according to the count of phytoplankton species.Changes in nitrates (NO 3 ) and phosphates (PO 4 ) were the most effective on the phytoplankton count and chlorophyll-a concentration in the lake.On the other hand, the concentrations of chlorophyll a, nitrate and phosphate are marked gradients with high values recorded near the drains and originated from the inputs released into the lake.In general, nitrates and phosphates were limiting factors as well as silicate (SiO 4 ) which correlated with the blooming of diatoms.GIS maps of alpha diversity indices revealed that the Shannon index value was high near El-Shaklouba area (indication to pollution).The regression model for the estimation of the groups of phytoplankton species indicates interrelation of Euglenophyceae group, with band ratios of red and infrared (R 2 =0.7).In addition, a predicted distribution map was made for the Euglenophyceae group in the year 2021 in the summer season according to the correlation between the retrieved phytoplankton group of Euglenophyceae with the same bands of Landsat image of 2021 (R 2 =0.98).
Imaging spectroscopy in low relief landforms with airborne AHS images: an example in the Tagus Basin, Central Spain

&amp;lt;p&amp;gt;High spatial resolution data recorded by the AHS (&amp;lt;em&amp;gt;Airborne Hyperspectral Scanner&amp;lt;/em&amp;gt;) imaging system is evaluated for mapping the mineral composition of low relief landforms. The study area is located in the Cenozoic Tagus sedimentary basin (Central Iberian Peninsula) in geological units made of clay (smectites), evaporitic (gyspsum, anhydrite) and carbonate rocks (limestones and dolostones). The study is based on the spectral response of key minerals such as calcite, gypsum and both Mg and Al-bearing clays in order to map their presence in the flat and gently sloping surfaces of the area located between the Tagus, Taju&amp;amp;#241;a and Jarama rivers. Two mapping techniques were used: image band ratios to enhance diagnostic mineral absorption features and the SAM (&amp;lt;em&amp;gt;Spectral Angle Mapper&amp;lt;/em&amp;gt;) algorithm. Both methods show a good discrimination of the above referred minerals, being the best mapped gypsum. For the validation of the results, spectroscopic field and laboratory measurements were used together with the geological map of the study area and conventional aerial photointerpretation, providing the spatial distribution of Landforms mapping units and their differentiated mineral composition grouped in three main domains.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Acknowledgements:&amp;lt;/strong&amp;gt; this research is supported by FEDER/Spanish Ministry of Science and Innovation-&amp;lt;em&amp;gt;Agencia Estatal de Investigaci&amp;amp;#243;n&amp;lt;/em&amp;gt;) research project ISGEOMIN-ESP2017-89045-R and HYPOPROCKS (PDC2021-121352-100) by MCIN/AEI/10.13039/501100011033 and the European Union &amp;amp;#8220;NextGenerationEU&amp;amp;#8221;/PRTR&amp;lt;/p&amp;gt;
Autonómne doručovacie roboty (regulácia potenciálne disruptívnej technológie)

Autonomous delivery robots (regulation of potentially disruptive technology).Innovative technologies require a response from the legislator.In the case of disruptive technologies, the so-called performative regulation shall apply in the new legal regulation.This approach must also be applied in the case of the legal regulation of autonomous delivery robots.It will be necessary to adjust road traffic rules and some basic issues of legal liability.Legislation at European Union level can be expected at a later stage.autonomous delivery robot technology has potential not only in the context of a pandemic, but also, for example, in the context of social inclusion.
KONTRIBUSI DUKUNGAN ORANG TUA DAN MINAT BELAJAR TERHADAP PRESTASI BELAJAR MATEMATIKA SISWA SMP

The aims of this study were: (1) to determine the contribution of parental support to the mathematics learning achievement of eighth grade students of SMP YPAK PTPN III Gunung Para; (2) knowing the contribution of interest in learning to mathematics learning achievement of class VIII SMP YPAK PTPN III Gunung Para; (3) Knowing the magnitude of the contribution of the joint relationship between parental support and interest in learning on mathematics learning achievement for class VIII SMP YPAK PTPN III Gunung Para. This type of research is a correlational research with a quantitative approach, because in this study the relationship between parental support and interest in learning will be sought for learning achievement in mathematics. The correlation technique used is multiple correlation (multivariate) which is to determine the relationship between two independent variables together or more with one dependent variable. The population in this study was class VIII SMP YPAK PTPN III Gunung Para as many as 155 students divided into four parallel classes. The sampling technique used in this study is the Simple Random Sampling technique, so that the researcher determines the students of class VIII-3 with 39 students as the sample. This study uses a questionnaire type instrument and documentation. The questionnaire instrument used has met the validation requirements, totaling 27 statements each to obtain information from the three variables. To find out the first and second objectives in this study, the product moment correlation test and t test were used to see the significance of the relationship between variables. Meanwhile, to find out the third objective using multiple correlation test. The data that has been collected and analyzed shows that the contribution given by parental support and interest in learning to student achievement shows a fairly large number. The contribution of interest in learning to learning achievement is the largest (44.36%) when compared to the contribution given by parental support to learning achievement (28.09%). However, if parental support and interest together affect learning achievement, the contribution will increase to 46.40%.
Construction and Research on Chinese Semantic Mapping Based on Linguistic Features and Sparse Self-Learning Neural Networks

In this paper, we adopt the algorithms of linguistic feature Rong and sparse self-learning neural network to conduct an in-depth study and analysis of Chinese semantic mapping, which complements the emotion semantic representation ability of traditional word embedding and fully explores the emotion semantic information contained in the text in the task preprocessing stage. We incorporate various semantic features such as lexical information and location information to make the model have richer emotion semantic expression, and the model also uses an attention mechanism to allow various features to interact and abstract deeper contextual internal semantic associations to improve the model's sentiment classification performance. Finally, experiments are conducted on two publicly available English sentiment classification corpora, and the results prove that the model outperforms other comparison models and effectively improves the sentiment classification performance. The model uses deep memory networks and capsule networks to construct a transfer learning framework and effectively leverages the transfer learning properties of capsule networks to transfer knowledge embedded in large-scale labeled data from similar domains to the target domain, improving the classification performance on small data sets. The use of multidimensional combined features compensates for the lack of a one-dimensional feature attention mechanism, while multiple domain category-based attention computation layers are superimposed to obtain deeper domain-specific sentiment feature information. Based on the segmented convolutional neural network, the model first introduces the dependent subtree of relational attributes to obtain the position weights of each word in the sentence, then introduces domain ontology knowledge in the output layer to constrain the extraction results, and conducts experimental comparison through the data set to verify the validity of the model, which ensures the accuracy of the network term entity and relational attribute recognition extraction and makes the knowledge map constructed in this paper. It ensures the accuracy of the extraction rate of the web term entities and relationship attributes and makes the knowledge map constructed in this paper more factual.
VIS-NIR-SWIR spectroscopic mapping for classification of hydrothermal-metasomatic alterations on the flanks of the Stolbovoe uranium deposit (Eastern Cis-Sayan)

Background. The Stolbovoe deposit is located in the northern part of the Eastern Sayan, in the Nizhneudinsky district of the Irkutsk region, within the N-47-IX map sheet. The surveying of the territory began in the sixties of the last century. The Stolbovoe deposit was discovered based on direct search signs (radioactivity). At the same time, the search was not aimed at revealing new deposits hidden under the Riphean cover; therefore, most of the territory remained unexplored. Aim. To map and classify the near-ore hydrothermal-metasomatic alterations manifested on the flanks of the Stolbovoe uranium deposit. Materials and methods. During the 2018–2020 period, within the framework of prospecting work, the employees of the All-Russian Scientific-Research Institute of Mineral Resources named after N.M. Fedorovsky (VIMS) carried out the mapping of ore alterations using an innovative method of Infrared (IR) spectroscopy. The diagnostics of mineralization was carried out using a portable TerraSpec 4 Hi-Res spectrometer. The instrument was used to measure diffuse reflectance spectra in the Ultraviolet-Visible-Short-Wave Infrared (UV-Vis-SWIR) ranges; the composition of various mineral phases was determined using the TSGVersion 7 database and software. Results. This study confirmed the efficiency of the method applied for the diagnostics of all varieties of clayey (kaolinite, montmorillonite) and fine micaceous (phengite, sericite, paragonite and their illite varieties) minerals, as well as carbonates (dolomite, ankerite, siderite) and chlorites in the rock in situ or in samples without preliminary sample preparation. Conclusions. The use of the described method for investigating cores and samples of the Stolbovoe uranium deposit (East Sayan region) made it possible to classify the epigenetic changes in rocks and to map hydrothermal-metasomatic halos, including those near-ore, formed by mineralization that could not be identified by conventional visual and optical methods.
Pemberdayaan Masyarakat Desa Sade Dalam Kesiapan Desa Tangguh Bencana Banjir dan Tanah Longsor

The Mandalika area has become an area of ​​global concern because it has a GP motorcycle racing circuit. Mandaika is geographically closely related to the 9 buffer villages. The village is Sade Village, which is a unified area that must be maintained due to the land being taken as backfill for the circuit construction area. Changes in land use are a threat that is already in sight due to the land becoming barren, it is necessary to provide knowledge about the dangers of disasters such as floods and landslides due to extreme weather. The obligation to provide knowledge on the dangers of flooding and landslides has been carried out with the help of funds from the DPP SPP Electrical Engineering, University of Mataram, through the Community Service program carried out by the research group on Electromagnetic Technology and Environmental Conservation for Humanity
Implementation of interactive voice response voting system using wireless communication

Recently, information technology has greatly impacted positively in all aspects of life, which actually with proven facts to a large extent, includes politics. The most recent method which is being adopted is the electronic voting (E-voting) system which is based on the use of mobile phone by the voters. To develop more on the electronic voting system, a secured and reliable e-voting system was put in place. This system protects the privacy of the voter, which is user friendly and can be used anywhere in the world with internet coverage during the time of election. A voice interactive voting system using the global system mobile device was developed with implementation of a dual tone multiple frequency (DTMF) decoder which makes the whole system interactive. The method adopted in this research work was the use of a program written in c-language and a microcontroller to control the whole process of voting based on DTMF technology. This method was use to overcome the problem involve in the use of paper ballots. This development came about as a result of the outcome of a study of the electoral process carried out in the electoral commission of Nigeria. Two data-bases would be created by the database administrator; the first is to keep a record of the voter’s information and the second database will have information about the election parties.
Efektivitas Penggunaan Media Pembelajaran Online Di Masa Pandemi Covid-19

AbstractThe purpose of this study was to determine the perceptions of the UPI Accounting Education Study Program students regarding the effectiveness of using online learning media during the COVID-19 period. The model used to explain the acceptance of the use of online learning media is the Technology Acceptance Model (TAM) with 4 main constructs. This type of research is a quantitative descriptive study. The research subjects were students of the UPI Accounting Education Study Program in the batch 2016-2019. The sample in this study amounted to 336 students of the UPI Accounting Education Study Program in the batch 2016-2019 who were randomly selected. Data collection was carried out by distributing closed questionnaires online via google form. The data obtained were analyzed by using the Partial Least Square (PLS) method using the SmartPLS software. The results of this study found that the easier the online learning media to understand and the higher the student's desire to use online learning media, the higher the effectiveness of learning.