bluuebunny/crossref_metadata_2025 huggingface dataset:
Ground Surface Subsidence Monitoring Using Sentinel-1 in the “Kostolac” Open Pit Coal Mine
Authors: Gojković Zoran , Kilibarda Milan , Brajović Ljiljana , Marjanović Miloš , Milutinović Aleksandar , Ganić Aleksandar
Published: May 2023

Open pit coal mining affects surrounding populated areas, resulting in terrain surface deformation. Surface deformation should be monitored as often as possible to control deformations and prevent potential incidents. This paper analyzes time series deformation estimated from the Sentinel-1 satellite images using the Persistent Scatterer Interferometry method to monitor subsidence rates caused by open pit mining activities. It is possible to measure deformations using classical geodetic methods, but those are rarely used in practice because they are time-consuming and expensive for application in large areas. Using the open access radar images from the Sentinel-1 mission, 513 images from the repository were downloaded between October 2016 and the end of December 2020. We present the processing steps in detail in order to establish a workflow for the automated processing of vertical displacement estimation using open source tools; a total of 402 images were processed: 215 images belonged to the ascending satellite orbit, 187 images belonged to the descending orbit, and 111 images were rejected because of adverse weather conditions. The PS InSAR technique has never been used for the mines of the Republic of Serbia or for land surveying practices related to deformation monitoring. The results based on the Sentinel-1 images were compared with results from geodetic leveling and with neotectonic uplift trends. The trend lines of vertical displacement obtained from PS and corresponding leveling are significantly similar (a Pearson correlation of 85% with a p-value of 0.015). The final evaluation reported results of vertical displacements at the leveling benchmark of −3.4 mm/year with the PS InSAR method and −2.7 mm/year with the leveling method. A comparison of the PS vertical displacements with a settlement model fits reasonably, suggesting that the measurements are valid. As four years of PS time series data is insufficient to establish undisputable conclusions on the neotectonics uplift, extending the time series (covering at least a decade) implies that this approach will become attractive in future neotectonic uplift trend estimations. This study illustrates not only the ability of Sentinel-1 data in mapping vertical deformations, but the obtained results could also be used for geohazard monitoring and land monitoring in general for the area of interest.
Multiclass Land Use and Land Cover Classification of Andean Sub-Basins in Colombia with Sentinel-2 and Deep Learning
Authors: Arrechea-Castillo Darwin Alexis , Solano-Correa Yady Tatiana , Muñoz-Ordóñez Julián Fernando , Pencue-Fierro Edgar Leonairo , Figueroa-Casas Apolinar
Published: May 2023

Land Use and Land Cover (LULC) classification using remote sensing data is a challenging problem that has evolved with the update and launch of new satellites in orbit. As new satellites are launched with higher spatial and spectral resolution and shorter revisit times, LULC classification has evolved to take advantage of these improvements. However, these advancements also bring new challenges, such as the need for more sophisticated algorithms to process the increased volume and complexity of data. In recent years, deep learning techniques, such as convolutional neural networks (CNNs), have shown promising results in this area. Training deep learning models with complex architectures require cutting-edge hardware, which can be expensive and not accessible to everyone. In this study, a simple CNN based on the LeNet architecture is proposed to perform LULC classification over Sentinel-2 images. Simple CNNs such as LeNet require less computational resources compared to more-complex architectures. A total of 11 LULC classes were used for training and validating the model, which were then used for classifying the sub-basins. The analysis showed that the proposed CNN achieved an Overall Accuracy of 96.51% with a kappa coefficient of 0.962 in the validation data, outperforming traditional machine learning methods such as Random Forest, Support Vector Machine and Artificial Neural Networks, as well as state-of-the-art complex deep learning methods such as ResNet, DenseNet and EfficientNet. Moreover, despite being trained in over seven million images, it took five h to train, demonstrating that our simple CNN architecture is only effective but is also efficient.
Study on the Voltage Reference Noise at Sub-Millihertz Frequencies for Developing an Ultra-Stable Temperature Measurement Subsystem
Authors: Gu Lingyun , Chen Houyuan , Liu Peng , Wen Mingxuan , Ling Chen , Sun Zening , Ding Yanwei
Published: May 2023

A temperature measurement subsystem (TMS) is a critical piece of infrastructure of the space gravitational wave detection platform, necessary for monitoring minuscule temperature changes at the level of 1μK/Hz1/2 within the electrode house, in the frequency range of 0.1mHz to 1Hz. The voltage reference (VR), a key component of the TMS, must possess low noise characteristics in the detection band to minimize the impact on temperature measurements. However, the noise characteristics of the voltage reference in the sub-millihertz range have not been documented yet and require further study. This paper reports a dual-channel measurement method for measuring the low-frequency noise of VR chips down to 0.1mHz. The measurement method makes use of a dual-channel chopper amplifier and an assembly thermal insulation box to achieve a normalized resolution of 3×10−7/Hz1/2@0.1mHz in the VR noise measurement. The seven best-performance VR chips documented at a common frequency range are tested. The results show that their noise at sub-millihertz frequencies can significantly differ from that around 1Hz.
Detection of Acetaminophen in Groundwater by Laccase-Based Amperometric Biosensors Using MoS2 Modified Carbon Paper Electrodes
Authors: Herrera-Domínguez Marcela , Lim Koun , Aguilar-Hernández Iris , García-García Alejandra , Minteer Shelley D. , Ornelas-Soto Nancy , Garcia-Morales Raúl
Published: May 2023

The use of enzyme-based biosensors for the detection and quantification of analytes of interest such as contaminants of emerging concern, including over-the-counter medication, provides an attractive alternative compared to more established techniques. However, their direct application to real environmental matrices is still under investigation due to the various drawbacks in their implementation. Here, we report the development of bioelectrodes using laccase enzymes immobilized onto carbon paper electrodes modified with nanostructured molybdenum disulfide (MoS2). The laccase enzymes were two isoforms (LacI and LacII) produced and purified from the fungus Pycnoporus sanguineus CS43 that is native to Mexico. A commercial purified enzyme from the fungus Trametes versicolor (TvL) was also evaluated to compare their performance. The developed bioelectrodes were used in the biosensing of acetaminophen, a drug widely used to relieve fever and pain, and of which there is recent concern about its effect on the environment after its final disposal. The use of MoS2 as a transducer modifier was evaluated, and it was found that the best detection was achieved using a concentration of 1 mg/mL. Moreover, it was found that the laccase with the best biosensing efficiency was LacII, which achieved an LOD of 0.2 µM and a sensitivity of 0.108 µA/µM cm2 in the buffer matrix. Moreover, the performance of the bioelectrodes in a composite groundwater sample from Northeast Mexico was analyzed, achieving an LOD of 0.5 µM and a sensitivity of 0.015 µA/µM cm2. The LOD values found are among the lowest reported for biosensors based on the use of oxidoreductase enzymes, while the sensitivity is the highest currently reported.
EEG-Based Driver Fatigue Monitoring within a Human–Ship–Environment System: Implications for Ship Braking Safety
Authors: Ren Bin , Guan Wanli , Zhou Qinyu , Wang Zilin
Published: May 2023

To address the uncontrollable risks associated with the overreliance on ship operators’ driving in current ship safety braking methods, this study aims to reduce the impact of operator fatigue on navigation safety. Firstly, this study established a human–ship–environment monitoring system with functional and technical architecture, emphasizing the investigation of a ship braking model that integrates brain fatigue monitoring using electroencephalography (EEG) to reduce braking safety risks during navigation. Subsequently, the Stroop task experiment was employed to induce fatigue responses in drivers. By utilizing principal component analysis (PCA) to reduce dimensionality across multiple channels of the data acquisition device, this study extracted centroid frequency (CF) and power spectral entropy (PSE) features from channels 7 and 10. Additionally, a correlation analysis was conducted between these features and the Fatigue Severity Scale (FSS), a five-point scale for assessing fatigue severity in the subjects. This study established a model for scoring driver fatigue levels by selecting the three features with the highest correlation and utilizing ridge regression. The human–ship–environment monitoring system and fatigue prediction model proposed in this study, combined with the ship braking model, achieve a safer and more controllable ship braking process. By real-time monitoring and prediction of driver fatigue, appropriate measures can be taken in a timely manner to ensure navigation safety and driver health.
In-City Rain Mapping from Commercial Microwave Links—Challenges and Opportunities
Authors: Janco Roy , Ostrometzky Jonatan , Messer Hagit
Published: May 2023

Obtaining accurate rainfall measurements is highly important in urban areas, having a significant impact on different aspects in city life. Opportunistic rainfall sensing utilizing measurements collected by existing microwave and mmWave-based wireless networks has been researched in the last two decades and can be considered as an opportunistic integrated sensing and communication (ISAC) approach. In this paper, we compare two methods that utilize received signal level (RSL) measurements obtained by an existing smart-city wireless network deployed in the city of Rehovot, Israel, for rain estimation. The first method is a model-based approach using the RSL measurements from short links, in which two design parameters are calibrated empirically. This method is combined with a known wet/dry classification method, which is based on the rolling standard deviation of the RSL. The second method is a data-driven approach, based on a recurrent neural network (RNN), which is trained to estimate rainfall and classify wet/dry periods. We compare the results of rainfall classification and estimation from both methods and show that the data-driven approach slightly outperforms the empirical model and that the improvement is most significant for light rainfall events. Furthermore, we apply both methods to construct high-resolution 2D maps of accumulated rainfall in the city of Rehovot. The ground-level rainfall maps constructed over the city area are compared for the first time with weather radar rainfall maps obtained from the Israeli Meteorological Service (IMS). The rain maps generated by the smart-city network are found to be in agreement with the average rainfall depth obtained from the radar, demonstrating the potential of using existing smart-city networks as a source for constructing 2D high-resolution rainfall maps.
Removable, Reconfigurable, and Sustainable Steel Structures: A State-of-the-Art Review of Clamp-Based Steel Connections
Authors: Cabaleiro Manuel , Conde Borja , González-Gaya Cristina , Barros Brais
Published: May 2023

In this review paper, first of all, an analysis of the circular economy and its application to steel structures is carried out. It highlights the need to apply the philosophy of Design for Deconstruction or Design for Disassembly (DfD) from the conception of the structure so that it can be truly reconfigurable. Then, a brief review of the different types of connections for steel structures is conducted, comparing the level of research and development of each of them and the degree of reconfiguration that is possible to obtain. Subsequently, the article focuses on the type of connection using clamps, a key point of this work and on which, to date, there are no state-of-the-art studies. It describes the types of clamps, their principle of operation, the types of connections developed with them, and the results of the different investigations that allow for calculating these types of connections. A summary is also given of how these connection types work according to the geometrical characteristics of the clamp and the bolt so that this review work can serve as a driver for the widespread use of clamp-based connections by researchers and engineers in the design and manufacturing of demountable and reconfigurable steel structures. Finally, some conclusions are given, indicating the advantages and disadvantages of this connection system and future lines of research.
Machine Learning-Based Prediction of Elastic Buckling Coefficients on Diagonally Stiffened Plate Subjected to Shear, Bending, and Compression
Authors: Yang Yuqing , Mu Zaigen , Ge Xiao
Published: May 2023

The buckling mechanism of diagonally stiffened plates under the combined action of shear, bending, and compression is a complex phenomenon that is difficult to describe with simple and clear explicit expressions. Predicting the elastic buckling coefficient accurately is crucial for calculating the buckling load of these plates. Several factors influence the buckling load of diagonally stiffened plates, including the plate’s aspect ratio, the stiffener’s flexural and torsional rigidity, and the in-plane load. Traditional analysis methods rely on fitting a large number of finite element numerical simulations to obtain an empirical formula for the buckling coefficient of stiffened plates under a single load. However, this cannot be applied to diagonally stiffened plates under combined loads. To address these limitations, several machine learning (ML) models were developed using the ML method and the SHAP to predict the buckling coefficient of diagonally stiffened plates. Eight ML models were trained, including decision tree (DT), k-nearest neighbor (K-NN), artificial neural network (ANN), random forest (RF), AdaBoost, LightGBM, XGBoost, and CatBoost. The performance of these models was evaluated and found to be highly accurate in predicting the buckling coefficient of diagonally stiffened plates under combined loading. Among the eight models, XGBoost was found to be the best. Further analysis using the SHAP method revealed that the aspect ratio of the plate is the most important feature influencing the elastic buckling coefficient. This was followed by the combined action ratio, as well as the flexure and torsional rigidity of the stiffener. Based on these findings, it is recommended that the stiffener-to-plate flexural stiffness ratio be greater than 20 and that the stiffener’s torsional-to-flexural stiffness ratio be greater than 0.4. This will improve the elastic buckling coefficient of diagonally stiffened plates and enable them to achieve higher load capacity.
Fatigue of Cold Recycled Cement-Treated Pavement Layers: Experimental and Modeling Study
Authors: Fedrigo William , Heller Lucas Fraporti , Brito Lélio Antônio Teixeira , Núñez Washington Peres
Published: May 2023

Fatigue is the main design criterion for cold recycled cement-treated mixtures (CRCTMs). However, the literature shows that the fatigue behavior of such mixtures is still not well known. For example, the effect of increasing reclaimed asphalt pavement (RAP) contents is yet a topic of discussion. This experimental and modeling study helps fill knowledge gaps on CRCTM fatigue behavior using long-term curing fatigue tests and three design methods currently being used in different countries. The objectives of this study were: (1) to characterize the mechanical and fatigue behavior of mixtures of RAP, aggregates and cement; (2) to evaluate the fatigue life of pavements with base and subbase layers of such mixtures using the novel Brazilian design method (MeDiNa); and (3) to compare the results with those obtained using the South African Pavement Engineering Manual (SAPEM) transfer functions and the American Association of State Highway and Transportation Officials AASHTOWare Pavement Mechanistic-Empirical Design (PMED) software. The mixtures were tested in the laboratory using flexural static and cyclic tests, and the required parameters to use the methods were obtained. Experimental results and modeling demonstrated a superior fatigue behavior of recycled layers with higher RAP contents. On the other side, layers with lower RAP contents abruptly lost stiffness in short periods, making thicker structures necessary. Therefore, using high RAP contents is not only a sustainable practice, but also a technical benefit. The equivalent single axle loads obtained using the SAPEM were higher than those obtained using MeDiNa, while the PMED ones were higher than both previous methods. Despite the inherent differences, this suggests that MeDiNa is more conservative. It also highlights the importance of calibration based on long-term pavement performance data.
Analysis and Dynamic Evaluation of Eco-Environmental Quality in the Yellow River Delta from 2000 to 2020
Authors: Ma Dongling , Huang Qingji , Liu Baoze , Zhang Qian
Published: May 2023

With the rapid development of urbanization and population growth, the ecological environment in the Yellow River Delta has undergone significant changes. In this study, Landsat satellite data and Google Earth Engine (GEE) were utilized to dynamically evaluate the changes in eco-environmental quality in the Yellow River Delta region using the remote sensing ecological index (RSEI). Additionally, the CASA model was used to estimate net primary productivity (NPP) and explore the relationship between vegetation NPP, land-use and land-cover change (LUCC), and eco-environmental quality to reveal the complexity and related factors of eco-environmental quality changes in this region. The results show that: (1) Over the past 20 years, the eco-environmental quality in the Yellow River Delta region has changed in a “V” shape. The eco-environmental quality near the Yellow River Basin is relatively better, forming a diagonal “Y” shape, while the areas with poorer eco-environmental quality are mainly distributed in the coastal edge region of the Yellow River Delta. (2) The response of vegetation NPP to eco-environmental quality in the Yellow River Delta region is unstable. (3) Urban construction land in the Yellow River Delta region is strongly correlated with RSEI, and the absolute value of the dynamic degree of land use is as high as 8.78%, with significant land transfer changes. The correlation between arable land and RSEI is weak, while coastal mudflats are negatively correlated with RSEI, with the minimum absolute value of the dynamic degree of land use being −1.01%, and significant land transfer changes. There is no correlation between forest land and RSEI. Our research results can provide data support for the eco-environmental protection and sustainable development of the Yellow River Delta region and help local governments to take corresponding measures.
The Impact of Environmental Stress on the Secondary Metabolites and the Chemical Compositions of the Essential Oils from Some Medicinal Plants Used as Food Supplements
Authors: Laftouhi Abdelouahid , Eloutassi Noureddine , Ech-Chihbi Elhachmia , Rais Zakia , Abdellaoui Abdelfattah , Taleb Abdslam , Beniken Mustapha , Nafidi Hiba-Allah , Salamatullah Ahmad Mohammad , Bourhia Mohammed , Taleb Mustapha
Published: May 2023

This study aims to study the impact of environmental stresses on the chemical compositions of essential oils and the content of secondary metabolites of the plants most used by the rural population: Thymus vulgaris, Mentha pulégium and Rosmarinus officinalis. The results of the study indicate that the percentage of secondary metabolites increased in the second year when temperature and water pressure increased by 50%. Specifically, coumarin increased from 3.94% to 9.23%, saponins increased from 6.17% to 7.78%, tannins increased from 2.90% to 6.12%, alkaloids increased from 6.72% to 15.95%, and flavonoids increased from 7.42% to 12.90%. However, in the fourth year, the temperature continued to increase, and water availability decreased by 75%, leading to a decrease in the rate of secondary metabolites. Coumarin decreased from 9.22% to 6.15%, saponin decreased from 7.80% to 6.79%, tannin decreased from 6.11% to 4.16%, alkaloids decreased from 15.95% to 10.45%, and flavonoids decreased from 12.90% to 9.70%. Similar results were observed for the essential oil yield, which increased in year two from 3.57% to 3.84% and decreased in year four to 1.04%. The same pattern was observed for Mentha pulégium and Rosmarinus officinalis. The gas chromatography analysis of the three essential oil samples showed that the majority of the compounds of the three plants were modified under the conditions of climate change. For Mentha pulégium, pulegone was found to represent the highest proportion in sample two (73.3%), followed by sample one (71.1%), and finally, sample three (61.8%). For Rosmarinus officinalis, the majority of compounds were cineole and camphor, with cineole representing 36% in sample two, 45.89% in sample one, and 43.08% in sample three, and camphor representing 21.44% in sample two, 21.56% in sample three, and 17.44% in sample one. For Thymus vulgaris, the majority of the compounds were Thymol and Carvacrol, which underwent approximately the same modifications as the majority of compounds in the other two plants. The results indicate that environmental stresses can lead to significant changes in these compounds, which can affect the medicinal and aromatic properties of these plants. The findings of this study highlight the need for more research to understand the impacts of climate change on plant species and the potential implications for human health and well-being.
Anti-Counterfeiting and Traceability Consensus Algorithm Based on Weightage to Contributors in a Food Supply Chain of Industry 4.0
Authors: Tan Ji , Goyal S. B. , Singh Rajawat Anand , Jan Tony , Azizi Neda , Prasad Mukesh
Published: May 2023

Supply chain management can significantly benefit from contemporary technologies. Among these technologies, blockchain is considered suitable for anti-counterfeiting and traceability applications due to its openness, decentralization, anonymity, and other characteristics. This article introduces different types of blockchains and standard algorithms used in blockchain technology and discusses their advantages and disadvantages. To improve the work efficiency of anti-counterfeiting traceability systems in supply chains and reduce their energy consumption, this paper proposes a model based on the practical Byzantine fault tolerance (PBFT) algorithm of alliance chains. This model uses a credit evaluation system to select the primary node and integrates the weightage to contributors (WtC) algorithm based on the consensus mechanism. This model can reduce the decline in the algorithm success rate while increasing the number of malicious transaction nodes, thereby reducing the computing cost. Additionally, the throughput of the algorithmic system increases rapidly, reaching approximately 680 transactions per second (TPS) in about 120 min after the malicious nodes are eliminated. The throughput rapidly increases as the blacklist mechanism reduces the number of malicious nodes, which improves the system’s fault tolerance. To validate the effectiveness of the proposed model, a case study was conducted using data from the anti-counterfeiting traceability system of the real-life supply chain of a food company. The analysis results show that after a period of stable operation of the WtCPBFT algorithm in the proposed model, the overall communication cost of the system was reduced, the throughput and stability were improved, and the fault-tolerant performance of the system was improved. In conclusion, this paper presents a novel model that utilizes the PBFT algorithm of alliance chains and the WtC algorithm to improve the efficiency and security of anti-counterfeiting traceability systems in supply chains. The results of the case study indicate that this model can effectively reduce communication costs, improve throughput and stability, and enhance the fault tolerance of the system.
Rebuilding Education—Contributions to STEM Education Practices and Research during the Post-COVID-19 Era
Authors: Ahmad Zubair
Published: May 2023

COVID-19 resulted in an unprecedented transformation in the context of learning and teaching, wherein a significant shift in the different realms of educational attainment was observed [...]
Training Data Selection for Record Linkage Classification
Authors: Ali Omar Zaturrawiah , Zamzuri Zamira Hasanah , Mohd Ariff Noratiqah , Abu Bakar Mohd Aftar
Published: May 2023

This paper presents a new two-step approach for record linkage, focusing on the creation of high-quality training data in the first step. The approach employs the unsupervised random forest model as a similarity measure to produce a similarity score vector for record matching. Three constructions were proposed to select non-match pairs for the training data, with both balanced (symmetry) and imbalanced (asymmetry) distributions tested. The top and imbalanced construction was found to be the most effective in producing training data with 100% correct labels. Random forest and support vector machine classification algorithms were compared, and random forest with the top and imbalanced construction produced an F1-score comparable to probabilistic record linkage using the expectation maximisation algorithm and EpiLink. On average, the proposed approach using random forests and the top and imbalanced construction improved the F1-score by 1% and recall by 6.45% compared to existing record linkage methods. By emphasising the creation of high-quality training data, this new approach has the potential to improve the accuracy and efficiency of record linkage for a wide range of applications.
Novel Rodent Arterivirus Detected in the Brazilian Amazon
Authors: da Paz Thito Y. Bezerra , Hernández Leonardo H. Almeida , Silva Sandro Patroca da , Silva Fábio Silva da , Barros Bruno C. Veloso de , Casseb Livia M. Neves , Guimarães Ricardo J. de Paula Souza e , Vasconcelos Pedro F. da Costa , Cruz Ana C. Ribeiro
Published: May 2023

As part of a continuous effort to investigate the viral communities associated with wild mammals at the human–animal interface in an Amazonian metropolitan region, this study describes the detection of a novel rodent-borne arterivirus. A sample containing pooled organs of Oecomys paricola was submitted to RNA sequencing, and four sequences taxonomically assigned as related to the Arteriviridae family were recovered, corresponding to an almost complete genome of nearly 13 kb summed. In the phylogenetic analysis with the standard domains used for taxa demarcation in the family, the tentatively named Oecomys arterivirus 1 (OAV-1) was placed within the clade of rodent- and porcine-associated viruses, corresponding to the Variarterivirinae subfamily. The divergence analysis, based on the same amino acid alignment, corroborated the hypothesis that the virus may represent a new genus within the subfamily. These findings contribute to the expansion of the current knowledge about the diversity, host and geographical range of the viral family. Arterivirids are non-human pathogens and are usually species-specific, but the susceptibility of cell lines derived from different organisms should be conducted to confirm these statements for this proposed new genus in an initial attempt to assess its spillover potential.
Possibilities for Anaerobic Digestion of Slaughter Waste and Flotates for Biomethane Production
Authors: Philipp Maximilian , Ackermann Helene , Barbana Nesrine , Pluschke Jonas , Geißen Sven Uwe
Published: May 2023

Anaerobic digestion for biomethane production is an important tool regarding sustainable energy production. The objective of this study was to investigate the effects of the substrate composition and operating parameters on biomethane production during anaerobic digestion, focusing on the use of flotates and slaughterhouse waste as substrates with a high organic content. A novelty here was the use of a moving bed biofilm reactor (MBBR) with circulation pump for the anaerobic treatment of flotates, slaughter waste (SW), and their mixture. Flotates and waste from slaughterhouses offer a substrate with a high organic content. In this work, it was shown that both substrates provide a high biochemical methane potential (BMP). The highest methane yield was achieved by mixing both substrates. In continuous operation, special challenges arose, due to the high nitrogen and fat content of the substrates. These could be overcome by mixing the substrates and using a circulation pump in the reactor for improved back-mixing. As a result, the highest average methane yield of 0.65 NLCH4·gTS eli−1 was achieved in mesophilic operation at an organic loading rate (OLR) of 4.2 gTS·L−1·d−1.
Member Formation Methods Evaluation for a Storm Surge Ensemble Forecast System in Taiwan
Authors: Lin Chun-Wei , Wu Tso-Ren , Tsai Yu-Lin , Chuang Shu-Chun , Chu Chi-Hao , Terng Chuen-Teyr
Published: May 2023

The forecast of typhoon tracks remains uncertain and is positively related to the accuracy of the storm surge forecast. The storm surge prediction error increases dramatically when the forecast track error is larger than 100 km. This study aims to develop an ensemble storm surge prediction system using parametric weather models to account for the uncertainty in typhoon track prediction. The storm surge model adopted in this study is COMCOT-SS storm surge forecast system. Two methods are introduced and analyzed to generate the ensemble members in this study. One is from the weather ensemble prediction system (WEPS), and the other is from the error distribution of the deterministic forecasts (EDF). The ensemble prediction results show that the ensemble mean of WEPS performs similarly to the deterministic forecast. However, the maximum surge height of WEPS is often lower than one from EDF. The verification results suggest that, for disaster prevention, EDF provides stronger warnings to the coastal region than WEPS. However, it may provide overestimated forecasts in some cases.
A New Graph-Based Deep Learning Model to Predict Flooding with Validation on a Case Study on the Humber River
Authors: Oliveira Santos Victor , Costa Rocha Paulo Alexandre , Scott John , Thé Jesse Van Griensven , Gharabaghi Bahram
Published: May 2023

Floods are one of the most lethal natural disasters. It is crucial to forecast the timing and evolution of these events and create an advanced warning system to allow for the proper implementation of preventive measures. This work introduced a new graph-based forecasting model, namely, graph neural network sample and aggregate (GNN-SAGE), to estimate river flooding. It then validated the proposed model in the Humber River watershed in Ontario, Canada. Using past precipitation and stage data from reference and neighboring stations, the proposed GNN-SAGE model could estimate the river stage for flooding events up to 24 h ahead, improving its forecasting performance by an average of 18% compared with the persistence model and 9% compared with the graph-based model residual gated graph convolutional network (GNN-ResGated), which were used as baselines. Furthermore, GNN-SAGE generated smaller errors than those reported in the current literature. The Shapley additive explanations (SHAP) revealed that prior data from the reference station was the most significant factor for all prediction intervals, with seasonality and precipitation being more influential for longer-range forecasts. The findings positioned the proposed GNN-SAGE model as a cutting-edge solution for flood forecasting and a valuable resource for devising early flood-warning systems.
Penerapan Algoritma Naïve Bayes Untuk Mengetahui Pasien Penyakit Gagal Jantung
Authors: Akbar Farchan , Ansyah Fiqri , andiko Virginia casanova andiko , Ahmad Khalil gibran , Rasywir Errissya , Meisak Despita , Pratama Yovi , Feranika Ayu
Published: May 2023

Abstrak – Setiap tahunnya lebih dari 36 juta orang meninggal karena Penyakit Tidak Menular (PTM) (63% dari seluruh kematian). Lebih dari 9 juta kematian yang disebabkan oleh penyakit tidak menular terjadi sebelum usia 60 tahun, dan 90% dari kematian “dini” tersebut terjadi di negara berpenghasilan rendah dan menengah. Secara Global PTM penyebab kematian nomor satu setiap tahunnya adalah penyakit kardiovaskuler. Penyakit Kardiovaskuler adalah penyakit yang disebabkan gangguan fungsi jantung dan pembuluh darah, seperti : penyakit coroner, penyakit gagal jantung atau payuh jantung, hipertensi dan stroke. Diperkirakan sebanyak 17,3 juta kematian disebabkan oleh penyakit kardiovaskuler.

 

Kata Kunci : data Pasien; algoritma naïve bayes; WEKA; klasifikasi; akurasi

 

Abstract - Every year more than 36 million people die from non-communicable diseases (NCD) (63% of all deaths). More than 9 million deaths are caused by non-communicable diseases before the age of 60, and 90% of these “early” deaths occur in low- and middle-income countries. Globally, PTM is the number one cause of death every year is cardiovascular disease. Cardiovascular disease is a disease caused by impaired function of the heart and blood vessels, such as coronary disease, heart failure or heart failure, hypertension and stroke. It is estimated that 17.3 million deaths are caused by cardiovascular disease.

 

Keywords: patient data; naïve Bayes algorithm; WEKA; classification; accuracy
Desain dan Implementasi Sistem Monitoring Sumber Daya Server Menggunakan Zabbix dan Grafana
Authors: Yulvianda Renaldi , Ismail Muhammad
Published: May 2023

Penggunaan server pada suatu instansi pemerintah atau perusahaan swasta akan selalu bertambah seiring dengan meningkatnya penggunaan aplikasi. Permasalahan yang sering terjadi pada server yaitu berupa DISK penuh, Memori penuh dan service apache atau mysql mati. Keamanan server yang dimaksud dapat berupa upaya memonitoring dan mencegah penggunaan server yang tidak sah ataupun serangan dari pihak eksternal maupun internal. Adapun tujuan penelitian ini adalah untuk melihat desain dan implementasi sistem monitoring sumber daya server menggunakan zabbix dan grafana serta hasil perpaduan gabbix dan grafana. Hasil yang diperoleh dalam penelitian ini adalah uji coba pada penggunaan hard disk, CPU, RAM dan status ingress dan egress network serta melihat resource server bermasalah akan memberikan notifikasi melalui telegram. Penggunaan zabbix dan grafana yang dipadukan dalam penelitian ini sangat cocok karena lebih memudahkan dalam memperoleh informasi karena data yang didapat dapat diolah menjadi info grafis.
Perancangan sistem informasi penjualan produk thrift pada weststyle_jmb jambi berbasis web
Authors: Wiranata Ahmad sergi , Agus Nugroho  , Roby Setiawan
Published: May 2023

Weststyle_jmb adalah sebuah toko yang menjual aneka Thrift yang lengkap dan up to date penjualan produk dilakukan pada hari kamis dan minggu, yang beralamat di PT. Toko Ladang Swarnadwipa JL. Wali Songo RT.03 Kenali Besar, Kota Jambi. Sebelumnya pada Weststyle_jmb dalam mengelola data-datanya masih dengan cara konvensional, sehingga membutuhkan waktu yang lama dalam proses pengecekan, perhitungan, pembuatan laporan dan jangkauan ruang lingkup penjualan hanya di sekitar wilayah Weststyle_jmb Jambi sehingga kebanyakan pembeli adalah orang yang sama atau pelanggan tetap saja. Sulitnya mengukur tingkat produktivitas perusahaan karena data hasil transaksi tidak tersimpan dengan baik. Belum adanya bukti transaksi seperti bukti penjualan barang atau pembelian barang, sehingga terjadinya selisih atau kesalahan dalam pembuatan laporan penjualan. Tujuan penelitian ini adalah untuk menganalisa sistem yang sedang berjalan, agar dapat mengatasi masalah-masalah yang dihadapi khususnya bagian penjualan produk Thrift pada Weststyle_jmb, dengan cara merancang sistem informasi penjualan produk Thrift Berbasis Web. Tahapan yang akan dilakukan dalam penyelesaian masalah yaitu, dengan cara mengamati, meneliti, dan mengkaji lebih dalam lagi masalah apa yang ada pada Weststyle_jmb Jambi. Langkah berikutnya adalah melakukan pencarian terhadap landasan teori yang diperoleh dari berbagai buku, pengumpulan data dengan metode observasi, wawancara dan dokumentasi, pembuatan laporan, serta menggunakan metode pengembangan sistem waterfall. Sehingga menghasilkan sistem informasi penjualan produk Thrift Pada Weststyle_jmb Berbasis Web.
Pelatihan Desain Grafis untuk Meningkatkan Kreatifitas Pengelola Dokumentasi bagi staff perpustakaan dan pustakawan pada Forum Perpustakaan Perguruan Tinggi Indonesia (FPPTI) Wilayah Jambi
Authors: Nurhadi
Published: May 2023

Kegiatan pengabdian pada masyarakat yang dilakukan merupakan kegiatan pengabdian masyarakat yang dibiayai oleh Yayasan Dinamika Bangsa Jambi. Pelaksanaan kegiatan ini dilakukan dalam bentuk praktikum dan diskusi untuk melatih peserta pelatihan yaitu staff Perpustakaan dan Pustakawan pada Forum Perpustakaan Perguruan Tinggi Indonesia (FPPTI) wilayah Jambi dalam hal desain grafis, untuk meningkatkan kreatifitas dalam pengelolaan Dokumentasi berupa pembuatan Kartu Perpustakaan, Banner, Poster, dll untuk kebutuhan perpustakaan di kampus masing-masing perguruan tinggi.  Pelatihan ini menggunakan metode : tahap perumusan masalah,  tahap penentuan solusi,  metode penyelesaian, tahap evaluasi, dan  Output. Pelatihan ini memanfaatkan perangkat lunak Desain Grafis seperti : CorelDraw dan Photoshop, pelatihan ini dilaksanakan di UPT Perpustakaan Universitas Jambi dan dihadiri sebanyak 55 peserta selama 2 hari.
ETIKA DALAM BERINTERNET DAN INTERNET SEHAT BAGI SISWA/I SMK NEGERI 2 KOTA JAMBI
Authors: Irawan Beni , Fachruddin  , Kurniabudi  , Riyadi Willy
Published: May 2023

Selain digunakan sebagai media pembelajaran positif oleh siswa, internet juga mampu memberikan dampak negatif yang besar jika tidak digunakan secara bijak seperti pornografi, penistaan, penipuan, perjudian, kecanduan game online, pelecehan secara online, pencemaran nama baik, isu SARA, berita bohong (hoaks) serta perundungan dunia maya (Cyberbullying). Oleh karena itu wawasan etika berinternet sehat (cyber ethics) seyogyanya disampaikan sedini mungkin kepada siswa agar dapat memanfaatkan internet dengan sehat dan aman serta bijak dapat mengoptimalkan dampak positif dalam berinternet dan meminimalisir efek negatif dalam berinternet bagi kalangan remaja. SMK Negeri 2 Kota Jambi adalah Sekolah Menengah Kejuruan yang berada di Jl. Kopral Ramli, Pasir Putih, Kec. Jambi Sel., Kota Jambi, 36135. Permasalahan utama yang dihadapi pihak sekolah yaitu belum disosialisasikannya Internet Sehat dan etika dalam berinternet dikalangan siswa/i sehingga di khawatirkan memberikan dampak yang kurang baik terhadap minat dan konsentrasi belajar oleh karenanya diperlukan penyuluhan agar para siswa/i tersebut dapat menggunakan internet secara sehat dan beretika untuk kegiatan positif guna membantu pengembangan prestasi dan kreatifitas siswa/i SMK Negeri 2 Kota Jambi
PELATIHAN PEMBUATAN DAN PENGEMBANGAN BAHAN AJAR BERBASIS MULTIMEDIA MENGGUNAKAN POWERPOINT DAN QUIZIZZ PADA GURU SMP NEGERI 4 KOTA JAMBI
Authors: Rofi'i Imam , Yudha Pradana Lazuardi , Almustaqim Andry , Husain Ahmad
Published: May 2023

Teknologi informasi dan komunikasi yang berkembang pesat membawa dampak yang kompleks bagi masyarakat, termasuk dalam dunia pendidikan. Dunia pendidikan saat ini sedang berupaya memanfaatkan perkembangan teknologi dan informasi untuk meningkatkan kualitas pendidikan khususnya di Indonesia. SMP Negeri 4 Kota Jambi merupakan Salah satu Sekolah Menengah Pertama di Kota Jambi  telah terakreditasi A. Saat ini kegiatan belajar mengajar yang dilaksanakan di SMP Negeri 4 Kota Jambi masih bersifat konvensional yaitu dengan memanfaatkan  buku cetak sebagai sumber belajar  utama dan ketika ingin mengerjakan tugas melalui Lembar Kerja Siswa dan ketika pandemi covid 19 tahun lalu untuk penyampaian materi menggunakan whatsapp voice note dan untuk tugas ataupun ujian menggunakan google formulir. Karena SMP 4 telah terpilih menjadi sekolah penggerak maka dalam hal ini kepala sekolah menginginkan pengembangan untuk SDM agar lebih mampu membuat materi ataupun tugas agar lebih interaktif dan menarik serta meningkatkan semangat belajar para siswa. Atas dasar permasalahan tersebut, penulis tergerak untuk memberikan pelatihan dalam pengabdian masyarakat guna memberikan “Pelatihan Pembuatan Dan Pengembangan Bahan Ajar Berbasis Multimedia menggunakan powerpoint dan quizizz pada guru SMP Negeri 4 Kota Jambi”.
Perencanaan Arsitektur Enterprise Menggunakan Kerangka Kerja Togaf ADM Pada Dinas Perkebunan Dan Peternakan Kab. Muaro Jambi
Authors: Sasgita Nabila , Assegaff Setiawan
Published: May 2023

The application of enterprise architecture aims to create alignment between business and information technology for the current and future needs of organizations. The success of implementing enterprise architecture cannot be separated from how an organization plans and designs the enterprise architecture. Planning and designing enterprise architecture requires a complete and easy-to-use methodology. In this study, a case study was conducted for strategic planning of information systems by applying the TOGAF ADM method with the help of the value chain model and other modeling tools at the Plantation and Livestock Service Office of Muaro Jambi Regency. The stages of the TOGAF ADM methodology are translated into enterprise architecture modeling, namely vision architecture, business architecture, information systems architecture and technology architecture. The results of the enterprise architecture modeling with the TOGAF ADM methodology provide a basis for overcoming the problem of lack of data integration and lack of information system support for business functions.
Penyusunan Katalog Literatur Bahasa Arab Bagi Mahasiswa Pendidikan Bahasa Arab STAIN Mandailing Natal
Authors: RAHMAN AULIA
Published: May 2023

The purpose of this service is to find out the availability of Arabic literature in the STAIN Mandailing Natal library and the creation of a catalog of Arabic literature. This research uses the Community Bassed Research (CBR) method based on the needs of students in obtaining a catalog of Arabic literature and their activities in the Library. The data collection method used in this service is through observation and documentation studies. In addition, data analysis using literature analysis and data reduction. The data taken is Arabic literature in the Library. From the results of this service, the results were obtained that the STAIN Mandailing Natal Library has the availability of Arabic literature so that the preparation of a catalog of Arabic literature is very necessary
Reflexões sobre o ecoturismo no município de Rancharia (SP): possibilidades e desafios
Authors: Balbino Alana Alice , Cunha Souza Mariana Cristina
Published: May 2023

A preferência dos turistas pelos atrativos ecológicos foi potencializada no pós-Covid-19 e reforçou a importância do ecoturismo em todo o mundo, com a valorização das viagens domésticas aos destinos comercializados como sustentáveis. Sendo assim, o objetivo geral deste artigo é refletir sobre potencialidades e desafios para o ecoturismo no município de Rancharia (SP). Destaca-se que Rancharia integra o Circuito “Sol do Oeste” e do “Oeste Rios”, logo, existe uma articulação regional voltada a uma política de turismo. A metodologia de pesquisa consistiu na revisão teórica sobre o tema do ecoturismo, do planejamento turístico e sustentabilidade turística, destacando-se conceitos e perspectivas de estudo. Foram consultados documentos cedidos pelo governo municipal, como o Plano Diretor, o Plano Diretor de Desenvolvimento Turístico e o Plano Diretor Urbanístico e Ambiental. Para complementar as análises, realizou-se entrevista com a Diretora do Departamento Municipal de Turismo, principal setor de gestão da atividade na escala local. Os resultados demonstram que Rancharia tem potencial para perpetuar práticas de ecoturismo, sobretudo quando se verifica a presença de recursos naturais expressivos em seu território e o título de Município de Interesse Turístico (MIT) conquistado em 2007, quando passou a receber verbas para investimentos em infraestrutura turística, bem como recursos do Fundo de Melhorias dos Municípios Turísticos para beneficiamento da atividade. Por outro lado, os desafios relacionam-se à abertura de propriedades privadas à visitação pública, pois contam com atrativos naturais que já motivam fluxos de pessoas, todavia, também carecem de investimentos em infraestrutura para acesso e permanência dos visitantes. Igualmente, faz-se necessária a sensibilização da comunidade para a valorização do ecoturismo como alternativa ao desenvolvimento socioeconômico. A partir disso, seria possível estruturar um roteiro de ecoturismo com ênfase em práticas e atividades de lazer em contato com a natureza, atraindo mais fluxos turísticos para o município.
MODERN GLOBAL CHALLENGES IMPACT ON THE ECONOMIC SYSTEMS THEORY
Authors:   Surgut State University, Surgut, Russia, Заведеев Е. В. , Аляров А. А. ,   Surgut State University, Surgut, Russia, Осипова А. В. ,   Surgut State University, Surgut, Russia
Published: May 2023

Economic systems and entities (from enterprises and organizations to municipalities and even states as a whole) must adapt to unforeseen events and external crises that create a high level of uncertainty among employees and citizens and bring immediate threats to productivity and viability. Today, global challenges are diverse and encompass a wide range of complex issues such as climate change, economic downturns, political instability, military operations, etc. In our interconnected world, these problems can pose an immediate threat to the viability and survival of economic systems, which necessitates a thorough study, systematization, and development of methods for their analysis and assessment of their impact on the activities of economic entities at all levels.