Miracle-dz/UniFAR-FTUs huggingface dataset:
Fiction vs. Reality: How Students Discover Real-Life Representations in Prose Using Engaged Reading

Background: The reading of fiction texts requires intense effort to integrate mind, emotion, and intrinsic reading motivation, in order to discover real-life representations. There is limited research in this area. Purpose: This study employs the engaged reading strategy combined with discovery learning, in order to investigate improvements in students’ competence in prose appreciation. Method: This study used a mixed-method design. Thirty-two Indonesian Language Education students participated in the study. Data was collected using student worksheets, observation, and semi-structured interviews. Data analysis was conducted by identifying and interpreting the results of prose appreciation for each reading activity. Results: This study found that while explaining the theme and through description students were able to activate prior knowledge. The students' reading motivation mainly focused on the intrinsic element of stories. They clearly understood the plot, characterizations, and messages, but supporting details varied because of the differences in students’ knowledge, experience, and social background related to short stories. In the post-reading stage, students revealed new knowledge and mental imagery. Based on our findings, engaged reading combined with discovery learning can enrich students' experience and ability to elaborate information, as well as to discover new knowledge about real-life representation in prose. Conclusion: Based on the research findings, teachers and lecturers are able to utilize the engaged reading strategy combined with discovery learning to promote students’ ability to read literature. Further research should involve more diverse participants. Experimental research could also examine the advantages and disadvantages of engaged reading and discovery learning.
Law and Property in the Mountains: A Political Economy of Resource Land in the Appalachian Coalfields

Private property in resource land is a complex matter, sitting at the conjunction of environmental, economic, political, and social systems. This dissertation explores a number of these systems surrounding law and property that link with land use and landscape change in the Appalachian coalfields where the rapid expansion of mining is drastically reshaping the landscape. One economic driver dominates the region, the extraction of coal, which ties to material social and environmental effects, and is driven by social and environmental patterns. Social construction of the institution of private property builds the materiality of private property as something to be owned, but this construction in the Appalachian context has emerged in different form than elsewhere because of the historical and geographical situatedness of the region. The history of accumulation in the Appalachian coalfields is ongoing, fluid, and changing, and, today, has taken on vertical (from beneath to the surface of the land) and horizontal (onto neighboring parcels) spatial forms to enable accumulation of properties adjacent to the coal in all directions. The institution of property law illustrates the multiple and complex interconnections among nature, property, and society. To deal with this disorderliness, the law itself becomes complex, fracturing, and messy and creates material effects as it travels through multiple interactive feedback loops, leading to material effects, most importantly the rapid expansion in the size and scope of Appalachian mining operations. The ideas of private property show that privatization and marketization do not have to
Expectation and perception of nursing students in caring for patient with deteriorating: A descriptive qualitative study

Introduction: Nursing students commonly exhibit low confidence levels when handling complex patient conditions, particularly those involving deteriorating health. Their lack of confidence and competence in managing deteriorating patients may potentially cause harm and even lead to fatal consequences if early recognition of such conditions is not made, given their role as primary responders in healthcare settings.Objective: This study aims to explore the expectation and percetiption of nursing students in caring for deteriorating patients.Methods: A descriptive, qualitative approach was employed, utilizing purposive sampling to select participants. Specifically, nursing students from a school in Pahang were chosen for this study. A topic guide was provided during interviews, employing a semi-structured approach with open-ended questions. Data obtained were analyzed using thematic analysis, resulting in the identification of themes and subthemes. Results: Findings revealed that 37.5% of the nursing students were not ready, while others felt prepared despite encountering various barriers and challenges. Three themes emerged: 1) unpredictable, 2) predictable, and 3) anticipated.Conclusions: In summary, the readiness of nursing students in providing care for deteriorating patients significantly influences the care received by the patient, both directly and indirectly. Despite struggling to adapt to challenges, the nursing students displayed willingness to provide nursing care.
KESEJAHTERAAN PSIKOLOGIS SEBAGAI SALAH SATU PREDIKTOR KEBAHAGIAAN PADA KARYAWAN PT. X DI BEKASI UTARA

Penelitian ini bertujuan untuk mengidentifikasi pengaruh kesejahteraan psikologis terhadap kebahagiaan pada karyawan Pt X di Bekasi Utara, berjumlah 233 orang. Metode yang digunakan adalah dengan menggunakan pendekatan kuantitatif dengan menggunakan non-probability sampling dan convenience sampling. Data dikumpulkan dengan menggunakan g-formdan dengan menggunakan 2 jenis skala yaitu Kesejahteraan Psikologis dan Kebahagiaan. Data kemudian dianalisis dengan menggunakan regresi sederhana. Hasil menunjukkan bahwa kesejahteraan psikologis mememiliki pengaruh positif yang signifikan terhadap kebahagiaan pada karyawan PT X di Bekasi Utara. Hal ini membuat kesejahteraan psikologis perlu ditingkatkan untuk dapat mencapai kebahagiaan. Manajemen dalam hal ini dapat melakukan berbagai cara misalanya training dan workshop untuk daoat meningkatkan kesejahteraan psikologis karyawannya.
Women in the Gastronomy Arena: Gender-Based Experiences Encountered

In this study, the difficulties experienced by female kitchen workers in their profession due to their gender were examined. In the research, which specifically questioned sexual harassment and glass ceiling syndrome in the workplace, a phenomenological approach was adopted and a qualitative research method was preferred. In this context, various questions examining the obstacles in question were asked to female employees employed in the kitchen departments of three different four- and five-star accommodation establishments operating in Kuşadası. The findings indicate that women are partially hindered due to their gender. In addition, three of the participants stated that they were harassed in various ways (verbal or sexual), and one of them stated that he witnessed it in some way, even though he was not harassed. In line with the results obtained from the interviews conducted with nine participants, various inferences were made and various suggestions were presented to sector representatives and senior managers.
Optimizing Skin Cancer Survival Prediction with Ensemble Techniques

The advancement in cancer research using high throughput technology and artificial intelligence (AI) is gaining momentum to improve disease diagnosis and targeted therapy. However, the complex and imbalanced data with high dimensionality pose significant challenges for computational approaches and multi-omics data analysis. This study focuses on predicting skin cancer and analyzing overall survival probability. We employ the Kaplan–Meier estimator and Cox proportional hazards regression model, utilizing high-throughput machine learning (ML)-based ensemble methods. Our proposed ML-based ensemble techniques are applied to a publicly available dataset from the ICGC Data Portal, specifically targeting skin cutaneous melanoma cancers (SKCM). We used eight baseline classifiers, namely, random forest (RF), decision tree (DT), gradient boosting (GB), AdaBoost, Gaussian naïve Bayes (GNB), extra tree (ET), logistic regression (LR), and light gradient boosting machine (Light GBM or LGBM). The study evaluated the performance of the proposed ensemble methods and survival analysis on SKCM. The proposed methods demonstrated promising results, outperforming other algorithms and models in terms of accuracy compared to traditional methods. Specifically, the RF classifier exhibited outstanding precision results. Additionally, four different ensemble methods (stacking, bagging, boosting, and voting) were created and trained to achieve optimal results. The performance was evaluated and interpreted using accuracy, precision, recall, F1 score, confusion matrix, and ROC curves, where the voting method achieved a promising accuracy of 99%. On the other hand, the RF classifier achieved an outstanding accuracy of 99%, which exhibits the best performance. We compared our proposed study with the existing state-of-the-art techniques and found significant improvements in several key aspects. Our approach not only demonstrated superior performance in terms of accuracy but also showcased remarkable efficiency. Thus, this research work contributes to diagnosing SKCM with high accuracy.
Design and Characterization of Piezoresistive Sensors for Non-Planar Surfaces and Pressure Mapping: A Case Study on Kayak Paddle

This article focuses on the design of a sensor system for a non-planar surface, in particular a cylindrical shape, such as a kayak paddle. The main objective is to develop a piezoresistive sensor system to measure the pressure exerted by the hand on the shaft. The study begins with static characterization of the sensors, including dispersion analysis to assess their sensitivity, linearity and measurement range. A calibration process is carried out using a dedicated test bench, and an inverse viscoelastic model is used to establish an accurate relationship between the measured resistance and the corresponding pressure. The sensor system is connected to a data acquisition board equipped with an analog-to-digital converter (ADC) that enables the direct conversion of analog data into digital resistance values. Furthermore, Bluetooth Low Energy (BLE) wireless communication is employed to facilitate data transfer to a computer, enabling a detailed pressure mapping of the kayak paddle and real-time data collection. The calibrated sensors are then tested and validated on the kayak paddle, facilitating the mapping of pressure zones on the paddle surface. This mapping provides information for locating areas of high pressure exertion during kayaker movements.
On the Durability of Icephobic Coatings: A Review

Ice formation and accumulation on surfaces has a negative impact in many different sectors and can even represent a potential danger. In this review, the latest advances and trends in icephobic coatings focusing on the importance of their durability are discussed, in an attempt to pave the roadmap from the lab to engineering applications. An icephobic material is expected to lower the ice adhesion strength, delay freezing time or temperature, promote the bouncing of a supercooled drop at subzero temperatures and/or reduce the ice accretion rate. To better understand what is more important for specific icing conditions, the different types of ice that can be formed in nature are summarized. Similarly, the alternative methods to evaluate the durability are reviewed, as this is key to properly selecting the method and parameters to ensure the coating is durable enough for a given application. Finally, the different types of icephobic surfaces available to date are considered, highlighting the strategies to enhance their durability, as this is the factor limiting the commercial applicability of icephobic coatings.
Demonstration of the Cascadia G‐FAST Geodetic Earthquake Early Warning System for the Nisqually, Washington, Earthquake

ABSTRACT A prototype earthquake early warning (EEW) system is currently in development in the Pacific Northwest. We have taken a two‐stage approach to EEW: (1) detection and initial characterization using strong‐motion data with the Earthquake Alarm Systems (ElarmS) seismic early warning package and (2) the triggering of geodetic modeling modules using Global Navigation Satellite Systems data that help provide robust estimates of large‐magnitude earthquakes. In this article we demonstrate the performance of the latter, the Geodetic First Approximation of Size and Time (G‐FAST) geodetic early warning system, using simulated displacements for the 2001 M w 6.8 Nisqually earthquake. We test the timing and performance of the two G‐FAST source characterization modules, peak ground displacement scaling, and Centroid Moment Tensor‐driven finite‐fault‐slip modeling under ideal, latent, noisy, and incomplete data conditions. We show good agreement between source parameters computed by G‐FAST with previously published and postprocessed seismic and geodetic results for all test cases and modeling modules, and we discuss the challenges with integration into the U.S. Geological Survey’s ShakeAlert EEW system.
Navigating the Crossroads: Understanding the Link Between Chronic Kidney Disease and Cardiovascular Health

Chronic Kidney Disease (CKD) has emerged as a global healthcare challenge affecting a significant portion of the world's population. This comprehensive narrative review delves into the intricate relationship between CKD and cardiovascular disease (CVD). CKD is characterized by kidney damage persisting for at least three months, often with or without a decline in glomerular filtration rate (GFR). It is closely linked with CVD, as individuals with CKD face a high risk of cardiovascular events, making cardiovascular-associated mortality a significant concern in advanced CKD stages. The review emphasizes the importance of precise risk assessment using biomarkers, advanced imaging, and tailored medication strategies to mitigate cardiovascular risks in CKD patients. Lifestyle modifications, early intervention, and patient-centered care are crucial in managing both conditions. Challenges in awareness and recognition of CKD and the need for comprehensive interdisciplinary care are highlighted. Recent advances in research offer promising therapies, such as SGLT2 inhibitors, MRAs, GLP-1R agonists, and selective endothelin receptor antagonists. Stem cell-based therapies, gene editing, and regenerative approaches are under investigation. Patient-physician "risk discussions" and tailored risk assessments are essential for improving patient outcomes. In conclusion, the review underscores the complexity of the interconnected CKD and cardiovascular health domains. Ongoing research, innovative therapies, and personalized healthcare will be instrumental in addressing the challenges, reducing the disease burden, and enhancing well-being for individuals facing CKD and cardiovascular issues. Recognizing the intricate connections between these conditions is imperative for healthcare providers, policymakers, and researchers as they seek to improve the quality of care and outcomes for affected individuals.
The Digital Duality: Social Media’s Impact on Society, Communication, and Language

This study explores the nuanced effects of social media on society, emphasising how it has both positive and negative aspects. Positively, social media has revolutionised global connectivity by democratising journalism, encouraging participation across great distances, and giving companies access to low-cost advertising channels. The report does admit many drawbacks, too, such as privacy issues, cyberbullying, and the quick dissemination of false information. The study promotes digital literacy, user education, and proactive actions from social media companies to address these problems. It highlights how critical thinking abilities are necessary to successfully traverse the internet environment. Furthermore, the study draws attention to the linguistic influence of social media by presenting acronyms, abbreviations, and colloquial language, prompting concerns about possible negative effects on written language proficiency and the significance of maintaining linguistic norms. Overall, the study highlights how social media has a significant impact on a variety of fields, including activism, politics, marketing, and education. It also highlights the need for a balanced strategy to maximise social media’s advantages while minimising its drawbacks
A Survey of Fear for Others, Fear for Self, and Pandemic Anxiety Predicting Intention to Take the First Booster Vaccine to Combat COVID-19

This study examined the impact of fear and anxiety on the intent to take the first COVID-19 booster vaccine. The objective of this study is to provide guidance for messaging campaigns of public health practitioners. A survey approach provided insights about individuals’ emotions of fear and anxiety related to adopting the first booster vaccine for the Coronavirus disease 2019 (COVID-19). Methods: Three independent variables were considered in their ability to predict the intent to take the first COVID-19 booster vaccine (BINT): Fear for Others (FOTH), Fear for SELF (FSELF), and COVID-19 Anxiety (CANX). Results: The confirmatory factor analysis supported an underlying three-factor solution for three central emotions in this study. A path analysis indicated significant direct effects for FOTH and FSELF in the prediction of BINT. The interdependent nature of these variables on the intent to get the first booster vaccine also was indicated by significant indirect effects. Discussion: Fear should be more precisely refined to include the fear for others (FOTH) beyond consideration of the fear for self (FSELF) from the impact of COVID-19. Conclusions: FOTH and FSELF were demonstrated to be direct predictors of BINT. CANX was only found to be significant as part of indirect effects impacting BINT. Future investigation should be given to the mediating role of anxiety with FOTH and FSELF as the context changes.
Histoplasmosis. Presentación de tres casos en la provincia Ciego de Avila en 1982

2 malades ont presente une forme pulmonaire et ont evolue vers la guerison, l'autre est decede apres 3 mois de fievre et d'adenopathies de splenomegalie et de lesions dermatologiques qui avaient la forme generalisee de la maladie
Outer Retinal and Choroidal Changes in Adolescents with Long-Lasting Type 1 Diabetes

This study aimed to assess outer retinal layer (ORL), retinal pigment epithelium (RPE), choroid (Ch) and choriocapillaris (CC) modifications in adolescents with long-lasting (>10 years) type 1 diabetes (T1D) without (noDR) or with diabetic retinopathy (DR). ORL and RPE thickness were measured at optical coherence tomography (OCT) macular scans. Vascular parameters of Ch and CC were quantified after elaboration of macular OCT-angiography (OCTA) images. Insulin dose and auxological and metabolic parameters were correlated with OCT and OCTA findings in patients. ORL thickness was higher in DR eyes than in noDR and healthy controls (HC), and RPE thickness was higher in noDR and DR eyes than in HC, with statistical significance for some sectors in noDR versus HC. No OCTA parameters of CC and Ch differed among groups, and no significant correlation was observed with auxological and metabolic parameters. In conclusion, ORL and RPE were both increased in adolescents with long-lasting T1D. Such changes were not associated with insulin dose and glycemia control, nor to any choroid or choriocapillaris flow change clinically detectable at OCTA, and they could be potential imaging biomarkers of disease progression.
The village government’s communication model: A promotion strategy for stunting prevention in Indonesia

Background: Stunting remains a significant social issue among the population in Indonesia. Inadequate treatment has led to numerous cases of suboptimal height in children aged 19 years. Objective: This study aimed to explore the strategy of the village government in formulating communication messages, utilizing communication methods, and employing communication media for the stunting alleviation program. Methods: A phenomenological approach was employed, with the research conducted in Pulau Harapan Village, Nine Island District, Sinjai Regency. Data were gathered from the government officials of Pulau Harapan Village through observations, interviews, and documentation. Subsequently, the collected data underwent analysis involving reduction, presentation, verification, and conclusions drawing, facilitated by Atlas TI 8 software. Results: The village government's strategy in crafting stunting alleviation program messages, from socialization to implementation in Harapan Island Village, Nine Island District, Sinjai Regency, revolves around the Two-Step Flow Communication model. The communication methods used include information repetition, channelization, persuasion to alter the target mothers' perceptions, educational methods, and coercion (coerfindings). Media employed include print media, electronic media, and human resource mobilization within Harapan Island Village. Conclusion: The findings of the study provide valuable insights to address the stunting issue in Indonesia.
Pharmacognostic Evaluation of Monarda didyma L. Growing in Trentino (Northern Italy) for Cosmeceutical Applications

Monarda didyma L. (Lamiaceae) is a medicinal and aromatic herb native to eastern North America and now is also cultivated in Northern Italy, which shows terminal heads of bright scarlet-red flowers, subtended by a whorl of red-tinged leafy bracts. Starting from 2018, M. didyma flowering tops have been included in the Belfrit List of botanicals. However, to date studies on the crude extract of this plant are still lacking. The aim of the present study was to investigate the morphological and anatomical features of the flowering tops and the phytochemical profile of their ethanolic and hydroglyceric extracts (EE and HGE, respectively). HGE was the richest in total phenols (105.75 ± 5.91 vs. 64.22 ± 3.45 mg/100 mL) and especially in flavonoids (71.60 ± 5.09 vs. 47.70 ± 1.27 mg/100 mL), as confirmed also by LC-DAD-ESI-MS. Fifty-three polyphenols were identified and quantified. Even if they showed a common polyphenolic profile, EE and HGE showed quantitative differences. Flavan-3-ols and anthocyanins were the most expressed metabolites in HGE, whereas flavonols were the most expressed metabolites in EE. These features confer to HGE the highest antioxidant, anti-inflammatory, and anti-angiogenic properties, detected by several in vitro and in vivo assays, highlighting a promising use of this plant extract for skincare applications.