Miracle-dz/UniFAR-FTUs huggingface dataset:
Media Sentiment Analysis of East Java Province: Lexicon-Based vs Machine Learning

Abstrak —Indonesian Ministry of Communication and Informatics reported internet users in Indonesia reached 150 million with a penetration of 56% in January 2019. This indicates the era of information disclosure; therefore, information on government performance is more easily obtained by all levels of society. Society is becoming more sensitive to government performance, and more feedback is being given to the government. This large amount of feedback has stimulated research on public sentiment analysis. This study compares the public sentiment analysis by two different approaches to the government performance of East Java Province. The study was comparing the lexicon-based method approach and the Support Vector Machine (SVM) from the machine learning approach. This study uses Twitter and Instagram datasets, and also the online news media web that reports on East Java. This study found that by using a combined data source of social media and online media, the lexicon-based approach produced an accuracy value of 57.7%; while the SVM machine learning method approach produces an accuracy of 44.7%. without the topics in the document being assessed. The SVM comparison is used because it is a method widely used SA with learning.
The Mediterranean Sea Basin as a Single Ecosystem: Problems and Prospects for International Cooperation

The article justifies that the Mediterranean Basin in the broad sense (Mediterranean, Black, Azov and Marmara Seas) is a single ecosystem. The state of this ecosystem is affected by the rivers of this water intake basin, among them - the Nile, Tiber, Po, Rhone, Ebro, Danube, Don and others. The interconnection of the individual elements of the ecosystem is ensured through active water exchange and a sufficiently branched system of currents that turn the inland seas of the Mediterranean basin into communicating vessels. The paper analyzes the main anthropogenic factors, as well as the influence of climate changes on the ecological condition of the Mediterranean ecosystem. Within the framework of anthropogenic impact, special attention is paid to the negative impact of urbanization, the oil industry (production, transportation and oil refining), industrial and agricultural waste, as well as runoff waters. The problem of plastic, as well as contamination with dichlorodiphenyltrichloroethane (DDT) is discussed in detail. Analysis of DDT accumulations in the bottom sediments of the Mediterranean basin makes it possible to study the synchronization of anthropogenic processes and their long-term nature. Aridization (intensification of droughts) in the Mediterranean is shown as an important problem for the regional ecology, not directly related to the anthropogenic factor. The article reveals the disastrous effects of increasing droughts and climate change on Mediterranean basin countries. International cooperation to regulate transboundary environmental problems in the region is associated with a number of problems. Among them is the delimitation of sea zones between countries, first of all - the territorial claims of Turkey in the Eastern Mediterranean. The problem of the shelf around the Serpents Island in the Black Sea is also considered, as well as territorial disputes in the Western Mediterranean (France/Spain). The paper widely presents successful cases of cross-boundary cooperation: the 1976 RAMOGE Agreement, the 1975 Mediterranean Action Plan and the 1995 Barcelona Convention, as well as its seven protocols. The cases of PEGASO and 4GreenInn projects, as well as the BSEC environmental projects, are considered as successful examples of cross-border academic cooperation. Promising areas of cooperation are outlined and the conclusion is made about the importance of transboundary environmental risk management, despite the political differences between the Mediterranean countries and the EU sanctions restrictions on Russia after 2014.
Association between Enzyme-Linked Immunosorbent Assay-Measured Kidney Injury Markers and Urinary Cadmium Levels in Chronic Kidney Disease

Cadmium exposure is associated with chronic kidney disease (CKD), but the optimal biomarker for early cadmium-associated nephrotoxicity in low-level exposure has not yet been established. We conducted a cross-sectional investigation involving 167 CKD patients stratified according to tertiles of urinary cadmium levels (UCd), in which enzyme-linked immunosorbent assay (ELISA)-measured novel renal biomarkers were utilized to assess the extent of renal injury associated with cadmium burden. In the analyses, urinary kidney injury molecule-1 (KIM-1) levels and age were the independent factors positively correlated with UCd after adjusting for covariates in non-dialysis-dependent CKD patients (high vs. low UCd, odds ratio (95% confidence interval), 1.0016 (1.0001–1.0032), p = 0.043, and 1.0534 (1.0091–1.0997), p = 0.018). Other conventional and novel renal biomarkers, such as serum creatinine, estimated glomerular filtration rate, CKD staging, urinary protein/creatinine ratio, urinary 8-hydroxy-2-deoxyguanosine (8-OHdG), and urinary epidermal growth factor (EGF) were not independently correlated with UCd in the analyses. In conclusion, our study found that the ELISA-measured urinary KIM-1 level could serve as an early renal injury marker in low-level cadmium exposure for non-dialysis-dependent CKD patients. In addition, age was an independent factor positively associated with UCd in this population.
Reduced order modelling of gas turbine engines

Modelling plays an important role in the development of new gas turbine engines. Dynamic models are required to design the engine control laws and are then used in real time to test the performance of the engine control system. Initially, the engine dynamics are derived from the thermodynamic characteristics of the engine components. However, these types of model are designed for accurate steady-state prediction of the engine performance and their dynamic characteristics are not always sufficiently accurate. It is therefore necessary to validate the dynamic behaviour of the model by an identification experiment on a real engine.
Vitamin D in Food Supplements: Labeling Survey

An adequate vitamin D (vitD) intake (Recommended Daily Allowance,RDA= 5µg) is crucial for health maintenance and its deficiency isassociated with several health problems. The increase in hypovitaminosisD cases and the proliferation of food supplements (FS) that are easilyaccessible by the population, have led to an unrestrained chronicconsumption of FS. VitD may accumulate in the body and originatetoxicity (Tolerable Upper Limit, UL=100 µg). The aim of this study was toevaluate if daily vitD doses mentioned in FS labels are in conformity withRDA. 210 solid and liquid FS (for pediatrics and adults) sold in Portuguesepharmacies, supermarkets, health shops and on the internet were examinedfor indicated daily intake of vitD and compared to RDA and UL values.51. 43% of FS have values higher than RDA, 8.57% higher than UL. Theaverage vitD daily dose in FS is 24.48 µg, with a high variability betweensamples (0.25 - 250 µg). Majority of FS labels recommend vitD daily dosesabove RDA and some even above UL, regardless of being for adults orchildren. Therefore, it is crucial that vitD dose in FS is reviewed to ensurethe safety of these products.
State of Knowledge and Phytochemical Analysis of Chilli Fruits (Capsicum annuum l.), "Ahalimancou" Type Consumed in the Indénié-Juablin Region (East of Côte D'ivoire)

The ethnobotanical study carried out on the fruits of chilli (Capsicum annuum L.), type "Ahalimancou" in the localities of Aniassué, Affalikro, Sankadiokro and the town of Abengourou located in the east of the Côte d’Ivoire had for main objective to assess the levels of knowledge, the mode of use of this pepper by the local populations, as well as the phytochemical analysis of said chilli. Discussion groups and semi-structured individual interviews were carried out in 4 localities to collect information from 650 inhabitants, including 511 women and 139 men. The results showed that the variables gender, age group, ethnicity and level of education significantly influence (p≤0.05) the levels of knowledge and the mode of use, except the independence between the locality, the level of knowledge and mode of use. In addition, women know more about this type of pepper (80.82%) and use it much more in food (99.41%), as well as in the treatment of diseases (95.69%). People aged 60 and over have higher use levels (81.30%) in therapeutic use. The study also revealed that the Agni ethnic group is distinguished from other ethnic groups (Baoulé, Malinké, Attié) by a greater level of knowledge and use in pathology. Depending on the level of education, it appears that people without education know better (71.63%) and use this type of pepper more in the treatment of pathologies (85.39%). In addition, the study showed that the fresh form remains the only form used. With the exception of quinones, phytochemical analysis revealed that this type of pepper contains several pharmacological components depending on the stages of ripeness. Orange and red fruits had a higher content of alkaloids, polyphenols, flavonoids. The green and yellow fruits were highly rich in sterols and polyterpenes. Catechetical tannins were only present in green fruits. The data from our study could strengthen clinical research on the nutritional and pharmacological properties of this type of “Ahalimancou” chilli.
Fault detection of open-switch damage in voltage-fed PWM motor drive systems

This paper investigates the use of different techniques for fault detection in voltage-fed asynchronous machine drive systems. With the proposed techniques it is possible to detect and identify the power switch in which the fault has occurred. Such detection requires the measurement of some voltages and is based on the analytical model of the voltage source inverter. Simulation and experimental results are presented to demonstrate the correctness of the proposed techniques. The results obtained so far indicate that it is possible to embed some fault-tolerant properties for the voltage-fed asynchronous machine drive system.
Rights to Intellectual Works Generated with Artificial Intelligence: A Russian View in the Global Context

The broad use of artificial intelligence in creating intellectual works poses difficulties for legislators and courts in choosing the proper legal framework for such works and defining the place of artificial intelligence in the legal system as a whole. In this article, we shall study different models of regulating such issues and analyze the prospects and consequences of their use. We show that only a few of many different models for copyrighting AI-generated works are viable and that the most promising among them is the introduction of a special limited related right for the person who organizes the use of the AI application. This model resembles already existing civil law approaches to protecting the rights of phonogram producers, broadcasting and cablecasting organizations, and database creators. Thus, the inclusion of artificial intelligence into the IP domain does not require reconstructing the legal framework but only adapting existing approaches.
Bivariate Zero-Inflated Poisson Inverse Gaussian Regression Model and Its Application

— This study developed a Bivariate Zero-Inflated Poisson Inverse Gaussian Regression (BZIPIGR) model to presents the form of BZIPIGR parameter estimation and modeling of the number of HIV and AIDS cases in each sub-district in Trenggalek and Ponorogo regencies to determine the factors that have a significant effect. This model can be used on data that have overdispersion cases caused by extra zeros in the response variables. The parameter estimation of the BZIPIGR model uses the Maximum Likelihood Estimation (MLE). The first derivative of the BZIPIGR model has obtained not closed form, therefor it has continued with the Berndt Hall Hall Hausman (BHHH) iteration to obtain the maximum likelihood estimators, while the hypothesis testing of the BZIPIGR model is derived using Maximum Likelihood Ratio Test (MLRT) approach. Based on the AICc value obtained, the BZIPIGR model is a feasible model to be applied to data on the number of HIV and AIDS cases in Trenggalek and Ponorogo Districts, East Java Province. The variable that had a significant effect on the increase in the number of HIV and AIDS cases was the percentage of the population with low education (SMA). The variables that had a significant effect on reducing the number of HIV and AIDS cases were the percentage of the population aged 25-29 years, the percentage of reproductive-age couples using condoms, the percentage of health educations activities about HIV and AIDS, and the percentage of community health insurance (Jamkesmas).
A Novel Prognostic and Predictive Signature for Lung Adenocarcinoma Derived from Combined Hypoxia and Infiltrating Immune Cell-Related Genes in TCGA Patients

Background The hypoxia and immune status of the lung adenocarcinoma (LUAD) microenvironment appear to have combined impacts on prognosis. Therefore, deriving a prognostic signature by integrating hypoxia- and immune infiltrating cell-related genes (H&IICRGs) may add value over prognostic indices derived from genes driving either process alone. Methods Differentially expressed H&IICRGs (DE-H&IICRGs) were identified in The Cancer Genome Atlas transcriptomic data using limma, CIBERSORT, weighted gene co-expression network analysis, and intersection analysis. A stepwise Cox regression model was constructed to identify prognostic genes and to produce a gene signature based on DE-H&IICRGs. The potential biological functions associated with the gene signature were explored using functional enrichment analysis. The prognostic signature was externally validated in a separate cohort from the Gene Expression Omnibus database. Results Five prognostic genes associated with overall survival in LUAD were used in the DE-H&IICRG-based prognostic signature. Patients in the high-risk group had an inferior prognosis, which was validated in an independent external cohort, and had lower expression of most immune checkpoint genes. In multivariate analysis, only risk score and T stage were independent prognostic factors. Differentially expressed genes (DEGs) associated with the risk score were enriched for pathways related to cell cycle, hypoxia regulation, and immune response. TIDE analyses showed that low-risk LUAD patients might also respond better to immunotherapy. Conclusion This study establishes and validates a prognostic profile for LUAD patients that combines hypoxia and immune infiltrating cell-related genes. This signature may have clinical application both for prognostication and guiding individualized immunotherapy.
Using a Game to Evaluate Passenger Screener Fatigue and Sleepiness at Airport Screening Checkpoints

The sensitivity of a game-based neurocognitive test to detect sleepiness and fatigue among workers at an airport passenger screening checkpoint (screeners) was examined. Screener fatigue and sleepiness was evaluated using both the game-based test and self-reports over the course of an eight-hour shift. Fatigue and sleepiness using the game-based test was evaluated utilizing differences in pre- and post—shift performance on four games targeting fatigue-mediated cognitive processes including simple reaction time, spatial processing, logical relations, and mathematical processing. Self-reports of fatigue and sleepiness were also collected pre-and post-shift using a previously validated tool. Results revealed that screeners at the checkpoint experienced a significant increase in fatigue and sleepiness from pre- to post-shift, indicated by both performance on the game and the self-report tool. The results suggest that the game-based tool could be used to evaluate the impact of countermeasures to reduce screener fatigue at screening checkpoints.
A new real-time algorithm for robot manipulator path planning to enable the grasping of moving targets: some design aspects

A new method of real-time robot manipulator path planning, based on the well-known standard proportional navigation (SPN) algorithm, is introduced. The objective is to move a robot manipulator in a nonempty working space to grasp moving elements (called targets), trying to find the shortest Cartesian path. Path planning is then divided in to two orthogonal components, namely the navigation part and the profile of velocities. Some design aspects of the navigation part are mainly addressed, namely selection of the closing velocity and the navigation gain. Stability and sensitivity analyses are performed on the closing velocity and a sub-optimal criterion is reached by studying the navigation constant. >
Graphene Oxide Embedded Copper Composite as an Efficient Mordant to Enhance the Properties of Natural Dye Coated Cotton Fabric.

In the textile sector, the utilization of synthetic dyes is environmentally unfriendly and has a very harmful impact on human health and the environment. Hence, natural dye is assumed to be a suitable alternative for sustainable textile manufacturing and colouration, but it remains challenging to prepare the dyes having high stability with textile fablric. Herein we have demonstrated the dyeing process for cotton fabric with natural dye extractions from turmeric (Curcuma longa L.) and tea (Camellia sinensis) in the presence of mordant. Subsequently, we have prepared copper and 2-methyl 8-hydroxyquinoline functionalized graphene oxide (GO) (CHG) trinary-composite as mordant to improve the stability and colour strength of naturally extracted dyes. The prepared trinary-composite was investigated using various techniques such as FTIR, XRD, UV, and TGA analysis. To evaluate the effect of CHG composite, it mixed with natural extracted dyes such as turmeric and tea dyes, converted to CHG functionalized turmeric and tea dyes (TuCHG and TeCHG) for the dyeing of cotton fabric. TuCHG and TeCHG dyed cotton fabrics exhibited superior colourfastness, wash fastness and rub fastness in comparison to only turmeric and tea dyes dyed cotton fabrics. TuCHG and TeCHG dyes also demonstrated decent antibacterial properties. The present study indicates the new aspect for prepared mordant to increase natural dye colour strength and stability. Thus, this process is a much safer, cost-effective and sustainable method for the application of natural dyes with enhanced substantively for cotton fabric.
Shifts in air traffic controllers’ situation awareness during high altitude mixed equipage operations

Studies of future airspace design often predict that automated tools will be available to assist the controller and sometimes complete tasks independently of controller intervention. How this redistribution of functions will change the role of the controller needs to be considered, as does its impact on the controller’s awareness of aircraft movement in their sector. In a study of high altitude operations in future airspace where aircraft were equipped with different levels of data communications capabilities, it was found that about half of the participants positively attributed the contribution of the automation as assisting their own level of situation awareness (SA) – and hence perceived themselves as being in a better position in terms of SA under more automated / equipped conditions. Whereas the other half of the participants, who did not consider the automation to assist their situation awareness, perceived themselves as having higher SA under conditions that were closer to the current day. With increased reliance on automation and higher expected traffic volume in the future, controllers will need to rethink what constitutes as their SA since they will no longer be able to have a complete awareness of their airspace as they do now. Insights into new SA strategies that can factor automation’s contribution and integrate it into controllers’ awareness could be helpful in future training and tool design.
Farmers’ Perception of Water Quality and Risks in the Mashavera River Basin, Georgia: Analyzing the Vulnerability of the Social-Ecological System through Community Perceptions

Competing natural resources usage that leads to dramatic land use changes can threaten the balance of a social-ecological system. When this is the case, communities are directly exposed to the negative consequences of those land use changes. The Mashavera River Basin is considered one of the hotspots of environmental pollution in Georgia. This is of importance for public health because the food production from this basin meets a substantial proportion of the country’s food demand. The farmers’ perception of the water quality and their perceived risks to the economy, health, and lifestyle reflect the status of the environmental and social conditions. The inclusion of farmers’ risk perceptions is an important stage of water quality governance that could enable active civic participation. The approach of this research study was the convergence model in the triangular design of the mixed method approach. As part of the social data, the research study was conducted with a survey of 177 households, for which agriculture was either a main or partial source of income. A few focus group discussions were also conducted. A binary logistic regression analysis was employed as the main method for the analysis. The results from the pollution load index (PLI) were used as the supportive data to verify some geospatial hypotheses. We found that aesthetic attributes (i.e., color changes observed in the river) and the source of the water contamination (i.e., mining sites) were the main predictor variables for a perceived risk to water quality, health, and livelihoods. The people who work in agriculture as the main income source had more concern about their ability to sell their agricultural products as a result of water contamination in the river, compared with people for whom agriculture is a secondary source of income or for self-consumption. Age, amount of land, years of agricultural experience, and the source of water supply for agriculture did not have a significant effect on any of the risk perception or water quality perception models. The results indicate that the health risk is perceived more strongly in areas with more heavily contaminated water compared to less polluted areas. We propose that conducting a public risk perception assessment is an ideal means to detect people’s concerns regarding water quality governance for future risk analysis in Georgia. Another recommendation of this study is an integrated model of risk assessment that combines the results from a public risk perception assessment and a technical assessment. The benefits of such an integrated assessment include finding new hazard-sensitive areas for further analysis, the possibility to cross-check data for verification, communal communication of hazardous conditions by utilizing local knowledge, and the direct participation of the community in monitoring risks.