Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALYSIS OF COMPLIANCE WITH THE USE OF PPE DURING THE COVID-19 PANDEMIC AT PUSKESMAS DUMBAYABULAN YEAR 2022

In the Covid-19 case in Indonesia itself, the government has issued a status disaster emergency starting on February 29, 2020, related to this virus pandemic. Personal Protective Equipment (PPE) is used to protect oneself or the body against the dangers of work accidents and the risk of contracting the virus, especially related to biological hazards. This study aims to analyze the factors related to health workers' compliance with the use of PPE during the COVID-19 pandemic in the Dumbaya Bulan Health Center Work Area. This study uses a Chi-Square design. The population is 38 people, and the research sample is presented. Data were collected by data analysis using chi-square. Results: the study showed that the variables, namely knowledge (p=0.007) and information and research (p=0.010), had a significant relationship with health workers' compliance in using PPE in Dumbayabulan Health Center. Meanwhile, perceptions of risk (p=1,000), barriers (p=0,252), workload (p=0,160), safety climate (p=0,313) and availability of facilities and facilities (p=0,517) did not have a significant relationship with compliance. health workers in the use of PPE at Dumbayabulan Health Center. Increasing vigilance in infection prevention and control in treating patients using PPE is necessary.
Estimation of land subsidence in deltaic areas through differential SAR interferometry: the Po River Delta case study (Northeast Italy)

ABSTRACT River deltas are very complex environments vulnerable to flooding. Most of the world’s deltas are facing the immediate threat of land subsidence that jeopardizes the safety of millions of people worldwide. In Italy, the Po River Delta (PRD) (Northeast Italy) is an area historically affected by high rate of subsidence due to natural and anthropic factors. Even if the subsidence rates remarkably reduced during the last three decades, this process continues to be alarming in particular in low-lying sectors and along the coastline, where the loss of elevation, combined with the sea-level rise, increases the risk related to flooding. In this study, we monitored the subsidence affecting the entire PRD area with advanced differential interferometric synthetic aperture radar (A-DInSAR) techniques applied to three C-band SAR data sets acquired by the European Remote Sensing satellites, Environmental Satellite, and Sentinel-1A satellite in the last 25 years (from 1992 to 2017). The results of the interferometric processing, consisting of both mean velocity and displacement time series along the satellite line of sight, validated by comparison with levelling and global positioning system measurements, show increasing subsidence moving from the inland to the coastline, with maximum deformation velocities, for the most recent data, in the order of −30 mm year−1. In particular, many embankments near the coastal area are affected by high values of subsidence, which increase the flooding hazard of the entire deltaic territory. This work shows the importance of adopting A-DInSAR techniques to update the knowledge of the extent and rates of deformation of subsiding areas in low-lying territories such as river deltas. The outputs of such monitoring can be of primary importance for the future protection of the territory and the flooding risk mitigation.
Relation between Antioxidants and Pollution on Experimental Animals

Objective: The aim of the present work is to study the protective effect of some antioxidants and trace elements against the hazardous effects of carbon tetrachloride (CCl4) on hamsters for the possibility of further application on humans. Methods: One hundred twenty hamsters weighing 104-128g were divided into 13 groups as follows: 1-Negative Control group fed standard diet, 2-positive control group given carbon tetrachloride (CCl4 ) only , 3-CCl4 + zinc, 4 - CCl4 + β-carotene,5- CCl4 + α-tocopherol,6- CCl4 + selenium, 7-CCl4 + vitamin C,8- CCl4 + zinc + β - carotene, 9-CCl4 + zinc + vitamin C , 10-CCl4 + zinc + α-tocopheral,11-CCl4 + selenium + β-carotene, 12-CCl4 + selenium + vitamin C and 13-CCl4 + selenium + α-tocopheral. Results: Carbon tetrachloride (CCl4) has a direct toxic effect on liver and kidney. Depending on biochemical results, the more antioxidants of liver protection against CCl4 toxicity are α tocopherol, followed by selenium, selenium + β - carotene, vitamin C, zinc + β – carotene and selenium + α tocopherol. The more antioxidant for kidney protection against CCl4 toxicity is β –carotene followed by selenium, zinc + β – carotene, zinc + α tocopherol, and zinc + vitamin C. Conclusion: Trace elements should not be given individually especially zinc or selenium as deleterious effects, in spite of its protective effect.
Distribution, Biochemical Properties and Genetic Relatedness of Endophytic Bacteria of Wet land Plants from Petroleum-Contaminated Sites of the Niger Delta, Nigeria

Microbe-assisted phytoremediation is a recent application of bioremediation with much prospects. The genetic relatedness of culturable endophytic bacteria of wetland plants growing on a six month-old and twelve month-old petroleum-contaminated sites, and an uncontaminated site in Bayelsa State of the Niger Delta Region, Nigeria were compared. Most of the endophyte species isolated from the roots, stems and leaves were common to all the sites and belong to the phyla Proteobacteria, Bacteroidetes Firmicutes, Actinobacteria, Chloroflexi and Actinomicrobia, with the γ-Proteobacteria dominating. Pseudomonas was the most prevalent species in all three sites, but higher in the petroleum contaminated sites. Biochemical properties (API 20E) of the common isolates; Pseudomonas spp.Chryseobacterium indologenes,Bacillus and Proteusvaried with sites while only Providencia rettgeri peculiar to the petroleumcontaminated sites showed the same properties. 16S rRNA PCR-DNA fragments of forty-five species of the isolates (15 from each site) were characterized using RFLP and MspI restriction enzyme and a genetic distance tree of the restriction patterns drawn. The percentage of similarity in the genetic relatedness of isolates ranged from 11.1 – 100%. The genetic tree analysis of the 45 species of identified bacteria revealed 3 major clusters with 17 DNA fingerprinting patterns. Pseudomonas species of the root and leaves of the six month-old petroleum-contaminated site and uncontaminated site were seen to cluster together irrespective of date of isolation. The endophytes may play a role in the in situ degradation of the petroleum hydrocarbon of the sites. Keywords— Endophytic bacteria, Petroleum, Phytoremediation, Wetlands, Wetland plants.
Improving Volunteer Recruitment and Retention Practices- Finnish Red Cross, Helsinki and Uusimaa District

Amidst unstable global political and economic order, the numbers of people seeking refuge in the west of the world has increased. Effective settlement and integration of this population in the host country is only possible if the organizations facilitating the settlement and integration are also running effectively and efficiently. This study, by focusing on the Helsinki, and Uusimaa District, explores the challenges the Finnish Red Cross has faced in the recruitment and retention of multilingual and multicultural volunteers who are crucial actors in the effective settlement and integration of the asylum seekers, quota refugees and immigrants alike. With this challenge in mind, the objective of this thesis is to develop a set of practical recommendations that improve the current approach to the recruitment and retention of immigrant volunteers. The study uses quantitative surveys to find some of the Pinch Points associated with the volunteer recruitment process. Similarly, it uses qualitative interviews with the staff and past volunteers to find the Pinch Points of volunteer retention. The study finds six themes through inductive analysis that have affected the recruitment and retention process of volunteers. Building on existing knowledge in the literature and best practice in volunteer management, the outcome of the study is a set of recommendations that improve the current process of volunteer recruitment and retention. It also provides practical tools for the volunteer leaders and volunteers to self-manage and increase the efficiency of the volunteer recruitment and retention process. The proposal, developed using the collaborative efforts of key stakeholders, was presented to the organization in order to validate the recommendations and ensue that they offered practical utility. Here, they were well-received and immediately implemented. This study can provide a reference point for other non for profit and international organizations that work with volunteers and are looking for ways to make volunteer recruitment and retention process more effective. Table of
Precision Insulin Delivery: Predictive Modelling for Bolus Insulin Injection in Real-Time

—Insulin is recommended for patients with Diabetes Mellitus (DM). It is challenging for doctors to prescribe accurate bolus insulin before every meal due to real-time factors such as the size of the meal, skipping a previous meal, and physical activity, which can risk the patient towards hyperglycemia or hypoglycemia. Previous studies executed insulin predictions where the methods did not consider the cases of controlled glucose levels, type of insulin prescribed, time of insulin-induced, and data detersion that can alter the predictions. To address these problems, our work has proposed an insulin predictive model from the integration of Internet of Things (IoT) devices, i.e., Continuous glucose monitoring (CGM) sensor and insulin pumps with rapid-acting insulin type where the insulin dosage with corresponding Current Blood Glucose levels (CBG) and improved Next Blood Glucose levels (NBG) are chosen. The dataset is subjected to data detersion where pre-processing, Exploratory Data Analysis (EDA), and Feature Selection is performed. Machine Learning (ML) models are applied on curated dataset where Decision Tree (DT)-Bagging algorithm, performed the best with a Mean Absolute Error (MAE) of 1.54 and a Mean Square Error (MSE) of 4.15. Performance metrics of the current study imply its suitability in medical applications for accurate prediction of real-time insulin dosage.
Conformal High-Aspect-Ratio Solid Electrolyte Thin Films for Li-Ion Batteries by Atomic Layer Deposition

Lithium phosphorus oxynitride (LiPON) is a state-of-the-art solid electrolyte material for thin-film microbatteries. These applications require conformal thin films on challenging 3D surface structures, and among the advanced thin-film deposition techniques, atomic layer deposition (ALD) is believed to stand out in terms of producing appreciably conformal thin films. Here we quantify the conformality (i.e., the evenness of deposition) of thin ALD-grown LiPON films using lateral high-aspect-ratio test structures. Two different lithium precursors, lithium tert-butoxide (LiOtBu) and lithium bis(trimethylsilyl)amide (Li-HMDS), were investigated in combination with diethyl phosphoramidate as the source of oxygen, phosphorus, and nitrogen. The results indicate that the film growth proceeded significantly deeper into the 3D cavities for the films grown from LiOtBu, while the Li-HMDS-based films grew more evenly initially, right after the cavity entrances. These observations can be explained by differences in the precursor diffusion and reactivity. The results open possibilities for the use of LiPON as a solid electrolyte in batteries with high-surface-area electrodes. This could enable faster charging and discharging as well as the use of thin-film technology in fabricating thin-film electrodes of meaningful charge capacity.
Comparative analysis of VGG, ResNet, and GoogLeNet architectures evaluating performance, computational efficiency, and convergence rates

This paper conducts an in-depth comparative analysis of three foundational machine learning architectures: VGG, ResNet, and GoogLeNet. The focus of the evaluation is their performance metrics on the CIFAR-100 dataset, a widely adopted benchmark in the field. Employing a comprehensive set of evaluation metrics, this investigation assesses not only testing accuracy but also the rate of training convergence and computational efficiency, providing a holistic perspective on the architectures' capabilities. Through rigorous experimentation, we elucidate the inherent advantages and drawbacks associated with each of these architectures. For instance, our findings delve into the nuances of how different architectures fare in terms of computational resources, which is vital for deployment in resource-constrained environments. Additionally, this study extends the analysis to explore the effect of hyperparameter settings, particularly learning rates, and the utility of data augmentation techniques in modulating the overall performance of each architecture. The ultimate objective is to furnish empirical insights that will assist researchers and practitioners in making well-informed choices when selecting a machine learning architecture for their specific application requirements.
Section 504 Support and Implementation of Services: School Administrators’ Perceived Strengths and Challenges

The Americans with Disabilities Act Amendment Act strengthens social justice ensuring students with disabilities are provided proper support and services through Section 504. School staff who implement Section 504 must successfully utilize available program supports and services. A mixed-methods study was completed in two large and three small school districts in south Texas to identify the support and services most utilized by elementary and secondary schools. Statistical differences between elementary and secondary schools were analyzed. School staff working with Section 504 were asked to what support and services they utilized more to assist students. The study findings include the two most accessed Section 504 supports were accommodations, health services, and behavioral intervention plans. Elementary schools accessed special transportation significantly more than secondary schools. Behavioral supports and psychological services were the most frequently accessed consultative services. State and district school leaders must ensure sufficient financial and staff resources to all Section 504 supports and services, but especially to those most frequently utilized in the schools.
A Numerical Framework for Evaluating Flood Inundation Hazard under Different Dam Operation Scenarios—A Case Study in Naugatuck River

Worldwide, many river floodplains contain critical infrastructure that is vulnerable to extreme hydrologic events. These structures are designed based on flood frequency analysis aimed at quantifying the magnitude and recurrence of the extreme events. This research topic focuses on estimating flood vulnerability at ungauged locations based on an integrative framework consisting of a distributed rainfall–runoff model forced with long-term (37 years) reanalysis meteorological data and a hydraulic model driven by high-resolution airborne LiDAR-derived terrain elevation data. The framework is applied to a critical power infrastructure located within Connecticut’s Naugatuck River Basin. The hydrologic model reanalysis is used to derive 50-, 100-, 200-, and 500-year return period flood peaks, which are then used to drive Hydrologic Engineering Center’s River Analysis System (HEC-RAS) hydraulic simulations to estimate the inundation risk at the infrastructure location under different operation strategies of an upstream reservoir. This study illustrates the framework’s potential for creating flood maps at ungauged locations and demonstrates the effects of different water management scenarios on the flood risk of the downstream infrastructure.
The effect of gas pressure on coal strength

One of the most hazardous forms of dynamic phenomena associated with underground coal mining has been the occurrence of coal and gas outbursts. Outbursts have been a problem to mining for over a century and have become increasingly more common in recent years. This is because of the increase in both the depth of workings and rate of mining excavations. High seam gas content and ground stress are two major factors which contribute to outburst occurrence. Also, outbursts are influenced by various coal properties such as coal rank, porosity, permeability, and gas type. However, the exact triggering mechanism of outburst is not yet fully understood. Recently, there has been a growing emphasis on the effect of coal strength on outbursts, particularly in relation to the type of the gas contained in coal. Research has shown that gases such as carbon dioxide sorbed onto coal surfaces could have some influence on the strength of coal. This thesis is therefore concerned with the laboratory investigations of the effect of gas pressures on the strength of coal. The previous work on this subject has been reviewed in conjunction with the various parameters mentioned above. Emphasis has been placed on the development of suitable laboratory techniques to examine the effect of gas pressures on various coal properties. The apparatus designed and constructed includes 1) a gas pressure chamber fitted with loading jaws for testing the effect of gas pressure on the tensile strength of coal by the Brazilian method. The equipment was further modified to allow a study of the
Detection of components on power lines using images captured by UAVs

Preventive maintenance of power poles, including component inspection, is essential to ensure the continuous supply of electricity to cities. Despite its importance, the current practice of visually identifying issues demands considerable time and effort. To address this challenge, this study proposes the use of automatic methods for power pole inspection, aiming to reduce inspection time and predict potential component replacements. The investigation leverages convolutional neural networks based on Faster R-CNN to automatically evaluate power pole conditions. A dataset was generated from 848 images obtained from a repository available on the internet. The resulting neural network from the training process has an average precision of 98.7% with an Intersection over Union (IoU) of 50% and 98.2% with an IoU of 75% for high-voltage electrical network components.
Economic–Sanitation–Environmental (Dis)Connections in Brazil: A Trans-Scale Perspective From Minas Gerais State and BH Microregion

Brazil’s economic, environmental, and infrastructural landscape is characterised by local and regional inequalities, particularly evident in Minas Gerais state and the municipalities surrounding its capital, Belo Horizonte (BH) microregion. This research examines three primary domains: (a) economic metrics such as GDP per capita, wages, and formal employment; (b) the availability of clean water and sewage systems; and (c) the frequency of emergency decrees. It aims to ascertain whether these factors can delineate economic, health, and socio-environmental divides within the BH microregion and between its urban and rural areas. Economically, a pronounced gap exists between GDP growth and wage stability, underscoring disparities between the BH microregion and the broader state. While the BH microregion boasts higher salaries and GDP, it also grapples with a heightened cost of living. Disparities in water and sewage infrastructure are stark between urban and non-urban locales, with the latter often lacking access. Emergency decrees are correlated with municipal GDP, with lower-GDP areas experiencing more crises, albeit to a lesser extent in the BH microregion. Cluster analysis reveals a nexus between frequent emergencies, lower GDP, and improved access to water and sewage services. Addressing these challenges requires comprehensive public policies to foster local well-being and alleviate economic, infrastructural, and environmental disparities within both the state and the BH microregion.
Investigation the Potential of Myopopone castanea Smith (Hymenoptera: Formicidae) as Bio-Agent of Oryctes rhinoceros (Coleoptera: Scarabaediae) in Oil Palm Plantations

The Myopopone castanea Smith (Hymenoptera: Formicidae) is a predator of Oryctes rhinoceros Linn larvae, the main pest on oil palm plantations. These predatory ants have potential as biological agents because they have similar niches to their prey. This research aimed to explore the presence and potential of M. castanea as bio-agents in oil palm plantations and obtain knowledge about the abiotic environment of Myopopone castanea ant nests. The research was conducted in oil palm plantations owned by PTPN 4 Adolina, PTPN 2 Pagar Merbau, and smallholder oil palm plantations in Binjai, North Sumatra Province. Sampling was conducted using the purposive sampling method and as many as 10 sample points in each plantation. The results showed that the average temperature and humidity in the ant nests were 29.4 °C and 70.5%, respectively. The number of individual ants in a colony varied greatly in number and developmental stages. The predation potential of Myopopone castanea ants in the field reached 50.3% for five days of exposure in smallholder plantations and 46,9% in Adolina Plantation. This research could be the opportunity to use Myopopone castanea ants as a biological control for larvae Oryctes rhinoceros in oil palm plantations.
Anisotropic Properties of a Mid-Lithospheric Discontinuity in eastern North America

During the last few years the occurrence of a mid-lithospheric discontinuity (MLD) has been observed in lithospheric studies of cratons. Studies using receiver functions have focused mainly on extracting high resolution information about the depth and extent of this discontinuity. Surface wave studies detect a change in anisotropy occurring over the same interval where the MLD is mapped, but no one has yet investigated whether these two features actually coincide. The nature of the MLD could therefore be anisotropic. In this thesis I use an new database of earthquake recordings to investigate the MLD in eastern North America. The focus is primarily on station HRV near Boston, containing 486 receiver functions with good backazimuthal coverage. Through forward modeling of receiver functions and harmonic decomposition, I find that the best fit to the MLD at HRV is obtained without a velocity reduction, but with a change in anisotropy. A change from a horizontal axis of anisotropy to a plunging axis provides the simplest model to reproduce the observed HRV data. I attribute this change of anisotropy to a division between ”frozen-in” anisotropy from the formation of the Appalachian chain in the upper lithosphere, and reworked fabric in the lower lithosphere from heating by the mantle plume of the Great Meteor hotspot. This interpretation implies that the fabric in the lower lithosphere is a localized phenomenon, which should be distinguished from the craton-wide MLD signal observed in North America. Regional profiles indicate a reduction of MLD signal strength towards the craton, suggesting that the lower lithospheric layer mapped in previous craton wide studies does not extend outside the craton boundaries. However, such an interpretation cannot be based on only one station, and should be tested with an expanded study of the entire eastern North America using semi-automated inversion methods.