Miracle-dz/UniFAR-FTUs huggingface dataset:
Framing ecological issues in local political contestations as part of political communication in the 2018 regional election

This paper discusses the practice of political communication carried out by regional head candidates in the City of Kediri in the 2018 local elections in East Java. This paper focuses on conducting in-depth tracking of the framing of ecological issues in campaign practices carried out by regional head candidates in the 2018 local elections. This study aims to gain an understanding and knowledge related to the political communication practices of regional head candidates in responding to ecological issues in political contestation locally in East Java. This research uses a descriptive qualitative approach that focuses on collecting data through interviews and documentation related to the political communication strategies of the 2018 Kediri mayoral candidates in communicating ecological issues to the public. The study results show that the political communication practices carried out by candidates in the 2018 regional elections have yet to make ecological issues a critical public issue. This is reflected in the campaign's content, which still focuses on socio-economic issues that prioritize aspects of infrastructure development for the community, not directing environmental conservation practices to support sustainable development.
Limits to Population Growth and Water Resource Adequacy in the Nile River Basin, 1994-2100

The purpose of this study is to examine the potential limits to growth among selected countries within the Nile River Basin region based on actual and projected estimates of population growth and water resource adequacy between 1994 and 2100. The projected disparity between population growth and water resource adequacy within the region raises serious questions about the adequacy of water resources given current population rates and the timing of potential intraregional conflict. This study, by employing a system dynamics model for the region, projects extreme water scarcity by mid-century with potentially catastrophic human implications. Egypt is likely to encounter a severe water crisis by mid century and as early as 2020 under conservative modeling assumptions. Averting a potential crisis in the Nile River Basin region will require the formulation and evaluation of plausible solutions to water resource issues. The impact of this crisis can be attenuated only by reducing birth rates, reducing per capita water consumption, or increasing water supply. Desalination, one method for increasing the water supply in Egypt, is not sufficient to divert this potential crisis. Future study is required to examine the internal dynamics of water and population collectively, and for each country, in the Nile River Basin. Limits to Growth in the Nile River Basin
Social Media and Human Trafficking: Using Social Media in Education of Human Trafficking Case Study on Operation Underground Railroads (Ours)

Social media is a powerful platform for disseminating information about human trafficking regardless of regional boundaries. So it is necessary to see the role of social media in increasing public knowledge through education provided by social media platforms, one of which is how social media OURrescue to eradicate acts of human trafficking. This research will aim to see how Twitter social media in Operation Underground Railroads (Ours) increases public knowledge about the issue of human trafficking by concentrating on three main issues: Social media content, OURrescue social media account activity, and The influence of narratives in providing education related to human trafficking to the public through social media. The qualitative method is the method taken in this study which uses a data analysis approach, namely Qualitative Data Analysis Software (Q-DAS), explicitly using the Nvivo 12Plus application through qualitative descriptive. The results of this study have three main points: First, in the content dichotomy, the @OURrescue account has participated in combating human trafficking. Second, the @OURrescue account in disseminating information and education to the public still needs to be more consistent than in 2016, which was very active in social media. Third, the @OURrescue account shows the dissemination of narratives related to the fight against human trafficking and plays a role in establishing relationships with actors who often raise issues of human trafficking. Focusing on research on human rights which is analysed through Twitter social media, shows a novelty from this research.
THE STUDY OF PROGRAM AND ROLES OF NATIONAL CONSUMER PROTECTION AGENCY USING QUALITATIVE AND QUANTITATIVE APPROACHES

The National Consumer Protection Agency (BPKN) was established to fulfill consumer protection needs in accordance with its duties. This study aimed to identify the role and performance of BPKN. The research design used was a mixed method. A total of 224 respondents were selected for the online survey using voluntary sampling techniques with the criteria of Indonesian citizens, men, and/or women aged 18-65 years, and in-depth interviews with the Chairman of the Research and Development Commission of BPKN. Data analysis was performed using Microsoft Excel 2013 and SPSS version 25.0. The result of this research is that more than half of consumers know about the functions and duties of the BPKN. However, the number of respondents who knew about BPKN programs was still low. The role of the BPKN in providing suggestions and recommendations to the government is considered insufficient based on the number of suggestions and recommendations issued each year. On the other hand, BPKN has succeeded in creating new innovations in how consumers complain during the COVID-19 pandemic, namely, by making online complaints. BPKN should be able to create more activities aimed at introducing BPKNs among Indonesians.
Design on measurement method for inner diameter of small-caliber tube

To overcome the defects of the poor measurement precision, the low efficiency and the fussy manual work existing in the current methods for measuring the inner diameter of small-caliber tube, based the high precision inductive displacement transducer and the principle about radial and axial conversion, a new electromechanical measuring system is designed. Moreover, this paper expounds the form and the measuring principle, and analyzes the measuring precision in detail. The metering results show the measurement accuracy of the system is superior to 0.01mm, and can suffice the test requirement at the testing ground.
Projecting the Future Ageing Population in Post-2045: The Today’s Millenials Perspectives

Indonesian elderly population in 2045 is projected to be 275% compared to 2015, in which elderly population are embedded with vulnerability and dependence as natural traits. Meanwhile, most of the elderly post-2045, millennials as the primary candidate, are predictedto have better capabilities than the nowadays elderly. Most literature, including lesson learnedfrom countries that experience ageing population, mainly discusses ageing from past or present phenomena. There are still missing links in considering the younger generation as the primary candidates for the ageing population in the future. Thus, how does millennials’ competitivenessas the primary candidate generation of the ageing population post-2045, and how far is the feasibility of social security for the elderly population, particularly regarding system and reliability. This research uses explanatory sequential mixed methods, in which quantitative attains initial results and then qualitative stage builds on these results. This study follows the framework of sociology of the future and sociology of generation. The challenge in 2045 is not about the demographic shift, but it presents the complexityof a new society in future. Considering the competitiveness of millennials, Indonesia may experience the second phase of the demographic bonus since the elderly post-2045 can contribute economically. Meanwhile, most current social assistance for the elderly is unreliableregarding the targeting and distribution system. Besides, the rapid growth of an ageing population is disproportionate to the slow growth of beneficiary coverage and pension contribution schemes. Some practical ways can be introduced and implemented in the short term, particularly regarding some issues: retirement age, dependency ratio framework, job field for elderly, the digital productivity, non-state welfare provision, and pension funds for informalworkers.
Hybrid Syntax Dependency with Lexicon and Logistic Regression for Aspect-based Sentiment Analysis

—Aspect-based Sentiment Analysis (ABSA) is a fine-grained form of SA that greatly benefits customers and the real world. ABSA of customer reviews has become a trendy topic because of the profuse information that is shared through these reviews. While SA also known as opinion mining helps to find opinion, ABSA greatly impact business world by converting these reviews to finer form with aspects and opinion or sentiment. These review words are interwoven internally, which depends on the semantics besides syntax, and sometimes there are long dependencies. Recently, the hybrid methods for ABSA are popular, but most of them merely considered if the syntax and long dependency exist, thus missing the inclusion of multi and infrequent aspects. In addition, in most literature, sentiment classification is shown directly without calculating the sentiment scores in ABSA. To this effect, this paper proposes a hybrid with syntax dependency and the lexicon for aspect, sentiment extraction, and polarity classification by Logistic Regression (LR) classifier to overcome the issues in ABSA. The proposed method is able to address the challenges of ABSA in a number of ways. First, it is able to extract multi-word and infrequent aspects by using syntactic dependency information. Second, it is able to calculate sentiment scores, which provides a more nuanced understanding of the overall sentiment expressed towards an aspect. Third, it is able to capture long dependencies between words by using syntactic dependency and semantic information. The proposed hybrid model outperformed the other methods by an average of 8-10 percent with the standard public dataset in terms of accuracy.
A survey of groundwater, macrophytes, and habitat types below the Maple River dam.

The hyporheic zone is an important ectone that provides nutrients for algae and shelter for macroinvertebrates. Dams may affect groundwater exchange downstream. In this study, we map groundwater in the hyporheic zone of the Maple River below the Maple River Dam. Ten habitat transects were mapped in each site, where we looked predominately at substrate cover, embeddedness, groundwater seeps, and Chara hummocks. We mapped groundwater seeps in each site. Results suggest significant differences in average cobble cover and embeddedness downstream. Seeps mapping did not reveal a significantly negative correlation with distance from the dam. Chara may indicate sources of groundwater inputs in the river channel. This study provides important pre-dam removal data, which may prove useful in assessing changes following the dam removal.
Primary Open Angle Glaucoma Diagnosis Using Pattern Electroretinogram Parameters

Background Glaucoma is the most typical cause of permanent blindness. POAG, or primary open angle glaucoma, is the most common type. The pattern electroretinogram (PERG) has become a promising technique for detecting glaucoma early-on. The goal of this study was to assess the ability of PERG to diagnose POAG, especially in early, difficult-to-diagnose cases in comparison with other already established diagnostic methods. Methods 150 participants (300 eyes) were enrolled in a cross-sectional study at ophthalmology department at Menoufia University Hospital in August 2022 to February 2023. All recruited participants underwent comprehensive ophthalmological and PERG exams. The studied eyes were divided into three groups as 100 normal eyes (Group I), 100 eyes with preperimetric glaucoma (Group II), and 100 eyes with established perimetric glaucoma (Group III). Results OCT-RNFL average thickness had a significant positive correlation with P50 latency (r=0.289, p=0.041) or P50 amplitude (r=0.302, p=0.018) and N95 amplitude (r=0.640, p=0.001) among group (II). Also, RNFL thickness had negative correlation with P50 amplitude (r= −0.268, p=0.043) among group (III). RNFL thickness and P50 and N95 amplitude showed highest AUC values in detecting preperimetric glaucomatous eyes vs normal eyes (AUC=0.927, 0.952, 904), and for detecting established perimetric glaucomatous eyes vs normal eyes (AUC=1.00, 0.957, 0.983 respectively) compared with VF MD which showed AUC (0.458 and 0.901 respectively). Conclusion Glaucoma patients exhibit PERG alterations (comparable to RNFL thickness changes) so, it could be used as an accurate diagnostic method in POAG. Because PERG alterations occur before visual field abnormalities, it could be relied on as an early diagnostic tool in preperimetric glaucoma. We can use both RNFL thickness assessment by OCT with PERG parameters as complementary tests for accurate diagnosis of preperimetric glaucoma which represents the most difficult diagnostic challenge in glaucoma diagnosis.
Identificación de patrones constructivos en sitios tardocoloniales de la Puna de Jujuy (Argentina) mediante análisis estadístico multivariante

Se presentan los resultados y discusión sobre análisis dirigidos hacia la identificación de patrones constructivos de asentamientos arqueológicos de fines del siglo XVIII con el objetivo de ampliar los conocimientos acerca de los modos de construir y habitar en poblados multiétnicos asociados a emprendimientos mineros y ganaderos. Los sitios estudiados son Antiguyoc y Quebrada del Maray 4, ambos emplazados en la localidad de Antiguyoc (departamento Rinconada, provincia de Jujuy). Para el estudio se determinaron atributos arquitectónicos y espaciales asociados a las unidades arquitectónicas que pudieran estar implicados en la variabilidad constructiva. A partir de allí se definieron las variables y su agrupación en categorías, con las cuales se construyó una matriz de análisis. El procesamiento estadístico se llevó a cabo mediante análisis de componentes principales y análisis factorial múltiple. Los resultados permitieron identificar las variables arquitectónicas que tienen mayor incidencia en la conformación de agrupamientos constructivamente homogéneos, y determinar patrones constructivos a partir de su conglomeración. A su vez, dieron lugar a interpretaciones acerca de los modos de construir y la posibilidad de establecer una base comparativa con la cual cotejar próximos estudios sobre los modos de construir y habitar en asentamientos contemporáneos del área de estudio.
Blood-pool MRI assessment of myocardial microvascular reactivity

Purpose The ability to non-invasively image myocardial microvascular dilation and constriction is essential to assessing intact function and dysfunction. Yet, conventional measurements based on blood oxygenation are not specific to changes in blood volume. The purpose of this study was to extend to the heart a blood-pool MRI approach for assessing vasomodulation in the presence of blood gas changes and investigate if sex-related differences exist. Methods Animals [five male and five female healthy Sprague Dawley rats (200–500 g)] were intubated, ventilated, and cycled through room air (normoxia) and hypercapnia (10% CO2) in 10-minute cycles after i.v. injection of blood-pool agent Ablavar (0.3 mmol/kg). Pre-contrast T1 maps and T1-weighted 3D CINE were acquired on a 3 Tesla preclinical MRI scanner, followed by repeated 3D CINE every 5 min until the end of the gas regime. Invasive laser Doppler flowmetry of myocardial perfusion was performed to corroborate MRI results. Results Myocardial microvascular dilation to hypercapnia and constriction to normoxia were readily visualized on T1 maps. Over 10 min of hypercapnia, female myocardial T1 reduced by 20% (vasodilation), while no significant change was observed in the male myocardium. After return to normoxia, myocardial T1 increased (vasoconstriction) in both sexes (18% in females and 16% in males). Laser Doppler perfusion measurements confirmed vasomodulatory responses observed on MRI. Conclusion Blood-pool MRI is sensitive and specific to vasomodulation in the myocardial microcirculation. Sex-related differences exist in the healthy myocardium in response to mild hypercapnic stimuli.
Laboratory Evaluation of Porous Asphalt Mixtures with Cellulose Ash or Combustion Soot as a Filler Replacement

Porous asphalt (PA) mixtures have become a common and very useful pavement technology for preventing dangerous driving conditions in wet weather and as a permeable surface in permeable pavement systems due to their capacity to filter water. The increased social awareness of sustainability matters has expanded the interest in reducing the impact of construction materials on the environment, mainly by using recycled materials in their composition and, hence, reducing the depletion of raw materials. In this research, two innovative recycled filler materials, namely, cellulose ash (CA) and combustion soot (CS), have been used as a total filler replacement in PA mixtures to look for improved mechanical strengths and characteristics. Four different filler dosages were assessed for each filler material, and the produced PA mixtures were tested for their particle loss, water sensitivity, freeze–thaw durability, Marshall stability, resilient modulus and permeability in order to obtain a full picture of their performance. The obtained results showed that both filler materials, adequately dosed, can generate PA mixtures that significantly overcome reference mechanical values for PA mixtures that maintain adequate infiltration capacities to satisfy the main international standards, proving to be suitable replacements for conventional filler materials commonly used in asphalt mixture production.
An Approach for Classification of Diseases on Leaves

—In recent years, significant advancements have been made in the realm of plant disease classification, with a particular focus on leveraging the capabilities of deep learning techniques. This study delves into the utilization of renowned Convolutional Neural Network (CNN) models, including EfficientNetB5, Mo-bileNet, ResNet50, InceptionV3, and VGG16, for the purpose of plant disease classification. The core methodology involves employing transfer learning, wherein these established CNN models are employed as a foundation and subsequently fine-tuned using a publicly accessible plant disease dataset. The study also compared the results with some deep learning models and with state-of-the-art. Among the tested CNNs, EfficientNetB5 has shown the best performance. EfficientNetB5 has outperformed another model and obtained 99.2% classification accuracy.
ORGANIC FERTILIZER'S ROLE IN THE IMPROVEMENT OF SOIL MICROFLORA AND BIOMETRIC VALUES IN FRUIT CROPS

Intensive farming has adversely affected soil fertility and ecosystems due to excessive chemicalization in the Kazakhstan Republic. The soil lacks organic matter, leading to declining fertility. Biologization has emerged to address this issue as a solution to improve soil fertility and enhance the growth and development of crop plants. This study aimed to determine the impact of organic fertilizers on the composition of soil microflora and biometric values in cultivating stone and pome fruits. The use of microbiological methods analyzed soil microflora and physiological bacterial groups. The research’s novelty lies in developing a technology that utilizes organic fertilizers and biological products to improve the activities of soil microorganisms and plant roots’ nutrition. Organic fertilizers ‘Bio juice Energy Plus’ and ‘Agroflorin’ positively influenced beneficial bacteria and fungi and significantly contributed to soil enrichment. Organic fertilizers and biological products support soil biological processes and replenish the nutrients, promoting sustainable agricultural productivity and reducing chemical dependency. The current study emphasizes the potential of organic fertilizers and natural products in enhancing soil fertility and supporting plant growth in Kazakhstan. Biologization also offers an eco-friendly approach to agricultural practices, ensuring agronomic productivity and the long-term good health of soils.
Operating-Point-Optimized Control Strategy for Modular Multilevel Converters in Low-Frequency AC Transmission Systems

For the internal control of MMC topologies, degrees of freedom (DOF) that can influence both the transient and steady-state performance are used. Several operation modes, each with a specific selection of DOF, can be used to reduce either the branch energy variation, as an indicator of the required module capacitance, or the branch current RMS value, as an indicator of the branch losses. In this article, an operating-point-optimized operation mode based on an analytical model is presented, which uses a weighting function to find a tradeoff between branch energy variations and branch losses for each operating point, depending on the characteristics of the converter and connected systems. This generalized approach is valid for M3C, M2C, and b2b-M2C. The operating-point-optimized operation mode is presented for application in a low-frequency ac transmission system connecting an offshore wind farm to the onshore grid, whereby M3C or b2b-M2C is used as an ac to ac converter station. Using the novel operation mode, the MMC topologies can be optimally dimensioned and compared with each other at each operating point. The analytical approach is validated with a simulation model of a $\mathbf {320}\,\mathbf {MW}$ low-frequency ac transmission system and additionally tested on a low-voltage test bench.
A Hybrid Dynamic Programming-Priority List Approach for Generation Scheduling Solution

The objective of generation scheduling is to minimize the total cost and satisfy the predicted energy demand and other system restrictions, known as the unit commitment (UC) problem. This problem involves determining which units should be online in each period and how much energy each of these online units should produce. This paper presents a new fast, efficient, robust, and relaxed method to solve the unit commitment problem using a hybrid dynamic programming (DP) algorithm with a priority list method as a screening tool. The dynamic programming algorithm is used for each list to solve the economic dispatch problem of switched units for each list as a sub-problem. This method, an advanced optimization technique with many application areas, divides the problem into several smaller problems, solves them, and develops an optimal solution to the initial problem step by step. A ten-unit system is used to prove the effectiveness and efficiency of the proposed method. The optimization of these decisions allows for the generation of power at minimum cost while meeting demand and other operational constraints.