Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of methods: Inverse distance weighting, ordinary kriging and collocated cokriging in porosity evaluation, and comparison of results on the Beničanci and Stari Gradac fields in Croatia

Results have been compared of the porosity evaluation acquired by application of three methods - Inverse Distance Weighting, Ordinary Kriging, and Collocated Cokriging. Ordinary Kriging and Collocated Cokriging are geostatistical methods. The methods were tested on two data groups represented by mean porosity values on the wells for the observed fields. One group includes the values from the breccia reservoir on the Benlcanci field, while the second includes the values from the clastic reservoir on the stari Gradac field. Both fields are situated In the Drava Depression. The accuracy of the acquired results is determined by geological evaluation of the isoporosity line shapes, and calculation of the mean square error (MSE). The best solutions were acquired by the Collocated Cokriging method. Ordinary Kriging produced better results than the Inverse Distance Weighting method, but It was used on a case where the application of a mathematically simpler method, on the same data group, gives better results.
Digital Marketing as a Tourism Village Marketing Strategy in East Java’s Horseshoe Region

If supported by digital marketing, tourism villages can be a major economic driver in rural communities. Because through digital marketing, the tourism industry is able to expand its market and attract more tourists. This study intends to map the need for information technology for digital marketing as a strategy to enhance the marketing of tourism villages. This study employs a qualitative case study methodology. Tourism villages of Kemiren in Banyuwangi Regency, Lombok Kulon in Bondowoso Regency, and Kampung Blekok in Situbondo Regency served as research sites. Observation, interviews, and documentation techniques were utilized to collect research data. The data analysis employed qualitative descriptive analysis. According to the findings of the survey, the marketing of tourist villages in the Horseshoe region has been conducted using information technology. However, the use of digital marketing through websites and social media is still limited. Therefore, digital marketing must be supported in accordance with the requirements of the tourist village and the segmentation of the target market. This research's information technology requirements mapping methodology for digital marketing can be utilized to support the marketing of tourist villages in East Java’s Horseshoe region.
Review on Image Steganalysis Using INRIA Dataset

Steganography can be defined as the science of private communication while steganalysis is the science of detection of embedded messages in digital media with the use of steganography (Each of steganography and steganalysis are under much interest from media and law enforcement entities). Blind steganalysis had the attempt of differentiating steganographic images from cover images without knowing the method of steganography. Popular data-sets are common in various areas like image processing, artificial intelligent, and security which allow the researchers to validate their approaches. INRIA dataset is one type of image dataset which include Holiday, Copydays and BIGANN evaluation datasets. This paper presents study on number of researches using INRIA dataset for image/ information retrieval and especially blind image steganalysis. All these works depends on statistical properties of image. No one use machine learning tools like deep learning especially convolution neural network to detect attack in image using INRIA dataset.
CARBON DIOXIDE AND METHANE FLUXES FROM THE OMBROTROPHIC PARTS OF A SUBARCTIC MIRE

A field study is presented of carbon dioxide and methane fluxes to the atmosphere in relation to temperature and moisture for the ombrotrophic parts of the subarctic mire at Stordalen (Swedish IBP Tundra Biome study site). Measurements were made on six occasions over a season of 145 days, and a regression model explaining 69% of variation was obtained for carbon dioxide versus temperature and moisture. Using a mean moisture value for the season and temperature as a driving force in the regression model, a flux of 33.1 g C m"2 yr-1 was calculated. This value included respiration by mosses in darkness, roots, soil fauna and microorganisms, which were estimated to account for 20, 10, 3 and 67% respectively. The temperature response showed the usual pattern: QlQ-values were found to increase with decreasing temperature. The Q10-values also increased with moisture content in the peat. The methane flux was found not to be correlated with temperature, but moisture could explain 30% of the variation. However, a methane flux of 0.6 g C m~2 yr-1 was estimated, which is 1.8% of the total carbon flux.
Migration stress and subjective well-being in unaccompanied migrant children

: Unaccompanied migrant children (UMC) represent a group that shares the status of an irregular migrant and a minor and who are exposed to multiple stressors that interfere with their integration in the host country. In addition, their arrival in waves generates enormous pressure on the Child Protection System (CPS), which is often forced to focus on covering the most basic needs and cannot meet other equally important needs. This study aims to determine the levels of well-being and migratory stress suffered by UMC, as well as the factors that affect these two variables. Forty-four UMS completed the Personal Well-Being Index (PWI) and the Barcelona Immigration Stress Scale (BISS). The results indicate that UMC suffer from migratory stress, especially intercultural general stress
A Comprehensive Analysis of Cybersecurity Threats based IoTs

The rapid growth of the Internet of Things (IoT) in our daily activities, has led to serious concerns regarding to potential cybersecurity threats. Therefore, there is a real need to have active and proactive solutions. This research undertakes an extensive analysis review of literature for the existing cybersecurity challenges and threats within various IoT devices. Also, it presents the suggested solutions as well as the structural frameworks. Moreover, it helps to detect and identify possible threats using different methods. Furthermore, it makes a contribution by drawing attention to research gaps within industrial and economic fields based IoTs. According to our findings, the main concern issues in IoT systems are cybercrimes and privacy cases. Artificial Intelligence, on the other hand, presents promising opportunities to improve cybersecurity. Nonetheless, certain attacks including authentication and confidentiality remain unaddressed when applying current solutions. This is, in fact, calling for more investigation and practical testing of suggested defences.
Good Corporate Governance and Liquidity: The Urgency of Risk Disclosure of Manufacturing Companies in Indonesia

The purpose of this study was to determine the influence of the liquidity (those that are proxy ed with current ratio) and good corporate governance (those that are proxied with size of the board of commissioners, proportion of independent commissioners, institutional ownership, and managerial ownership) to risk disclosure. The analytical method used is panel data regression analysis for manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the period of 2016-2018. The research sample consisted of 13 companies with a purposive sampling method. The reason for using the 2016-2018 period is to get the condition of manufacturing companies in Indonesia which were still relatively stable before the Covid-19 pandemic. The results showed that managerial ownership had a significant positive effect on risk disclosure. Liquidity, size of the board of commissioners, proportion of independent commissioners, and institutional ownership do not have a significant influence on risk disclosure. The novelty of this research is the formation of a theoretical model of good corporate governance through indicators of managerial ownership in influencing risk disclosure, thereby providing an overview of the importance of ownership by managers so that risk disclosure can be carried out optimally. This research contributes to the understanding of the factors influencing risk disclosure and provides guidance for companies in improving good corporate governance to achieve optimal risk disclosure.
Paleozoic trace fossils from the Kufra Basin, Libya

A s s ~ ~ ~ c r T h e Paleozoic succession in the southeastern part of the Kufra Basin, Libya, comprises a sequence of sedimentary facies up to 250 m thick, representing fluvial, tidal, subtidal, shoreface and marine shelf depositional environments. Body fossils are rare, and precise age and stratigraphic relations uncertain. However, many of the formations contain trace fossils. The oldest association of Cruzianu, Arthrophycus and Monocraterion comes from the Cambro-Ordovician at Jebel Archenu which unconformably overlies Precambrian basement. This is the first recorded presence of Cruziana and Arthrophym from the Cambro-Ordovician in the Kufra Basin. Elsewhere, the CambroOrdovician contains fine, deep, shoreface sands characterized by the occasional presence of Cylindrichnus followed by coarser, shallower, shoreface sands with abundant Phycodes. Arthrophym and Cruziana are common in the Lower Devonian Tadrart Formation (youngest record of true Arthrophycus) and the upper part of the Silurian Acacus Formation. The presence of abundant Cruziana at this level throughout the area provides a useful local stratigraphic marker. Skolithos is abundant at the base of the Upper Devonian Binem Formation and Zoophycos at the top where it forms a thin, but extensive marker bed known as the Zoophycos sandstone. The Carboniferous Dalma Formation has a more diverse ichnofauna including Bifungites (youngest record? ), Neonereites and Scoyenia preserved mainly in the upper part of a major transgressive sequence representing a transitional environment between the shoreface zone and nearshore shelf.
Placebo stimulates neuroplasticity in depression: implications for clinical practice and research

Neither psychological nor neuroscientific investigations have been able to fully explain the paradox that placebo is designed to be inert in randomized controlled trials (RCTs), yet appears to be effective in evaluations of clinical interventions in all fields of medicine and alternative medicine. This article develops the Neuroplasticity Placebo Theory, which posits that neuroplasticity in fronto-limbic areas is the unifying factor in placebo response (seen in RCTs) and placebo effect (seen in clinical interventions) where it is not intended to be inert. Depression is the disorder that has the highest placebo response of any medical condition and has the greatest potential for understanding how placebos work: recent developments in understanding of the pathophysiology of depression suggest that fronto-limbic areas are sensitized in depression which is associated with a particularly strong placebo phenomenon. An innovative linkage is made between diverse areas of the psychology and the translational psychiatry literature to provide supportive evidence for the Neuroplasticity Placebo Theory. This is underpinned by neuro-radiological evidence of fronto-limbic change in the placebo arm of antidepressant trials. If placebo stimulates neuroplasticity in fronto-limbic areas in conditions other than depression - and results in a partially active treatment in other areas of medicine - there are far reaching consequences for the day-to-day use of placebo in clinical practice, the future design of RCTs in all clinical conditions, and existing unwarranted assertions about the efficacy of antidepressant medications. If fronto-limbic neuroplasticity is the common denominator in designating placebo as a partially active treatment, the terms placebo effect and placebo response should be replaced by the single term “placebo treatment. ”
Mesenchymal Stem Cell-Derived Exosomes Ameliorate Doxorubicin-Induced Cardiotoxicity

Doxorubicin (DOX) is an incessantly used chemotherapeutic drug that can cause detrimental dose-dependent effects such as cardiotoxicity and congestive heart failure. Hence, there is a need to discover innovative therapeutic approaches to counteract DOX-induced cardiotoxicity (DIC). MSC-Exos have shown to reduce apoptosis and cardiac fibrosis and promote cardiomyocyte proliferation in myocardial infracted mice. However, the effect of MSC-Exos on ameliorating DOX-induced pyroptosis has not been investigated. In this current study, H9c2 were first exposed to DOX to stimulate pyroptosis, followed by subsequent treatment with MSC-Exos, with further analysis performed through immunocytochemistry, western blotting, and RT-PCR. Our data depicted that post-treatment with MSC-Exos significantly (p < 0.05) reduced the HMGB1/TLR4 axis, inflammasome formation (NLRP3), pyroptotic markers (caspase-1, IL-1β, and IL-18), and the pyroptotic executioner (GSDMD) in DOX-treated H9c2 cells. In conclusion, our data show that MSC-Exos attenuates inflammation-induced pyroptosis in our in vitro DIC model. Our findings indicate that MSC-Exos may serve as a promising therapeutic intervention for mitigating DIC, as they maintain the therapeutic capabilities of MSCs while circumventing the drawbacks associated with traditional stem cell therapy.
Sensitivity of volcanic aerosol dispersion to meteorological conditions: A Pinatubo case study

Using a global climate model (Hadley Centre Global Environment Model version 2‐Carbon Cycle Stratosphere ) with a well‐resolved stratosphere, we test the sensitivity of volcanic aerosol plume dispersion to meteorological conditions by simulating 1 day Mount Pinatubo‐like eruptions on 10 consecutive days. The dispersion of the volcanic aerosol is found to be highly sensitive to the ambient meteorology for low‐altitude eruptions (16–18 km), with this variability related to anomalous anticyclonic activity along the subtropical jet, which affects the permeability of the tropical pipe and controls the amount of aerosol that is retained by the tropical reservoir. Conversely, a high‐altitude eruption scenario (19–29 km) exhibits low meteorological variability. Overcoming day‐to‐day meteorological variability by spreading the emission over 10 days is shown to produce insufficient radiative heating to loft the aerosol into the stratospheric tropical aerosol reservoir for the low eruption scenario. This results in limited penetration of aerosol into the southern hemisphere (SH) in contrast to the SH transport observed after the Pinatubo eruption. Our results have direct implications for the accurate simulation of past/future volcanic eruptions and volcanically forced climate changes, such as Intertropical Convergence Zone displacement.
Climate change and outdoor recreation participation in the Southern United States

In this chapter we begin to assess the potential effects of climate change on future outdoor recreation in the South, a region spanning 13 states from Virginia to Texas (Chapter 1). Our goal is to provide some useful insights about future natural resource-based recreation—an important nontimber product derived from southern forests—in the face of climate change. We develop and present projections of participation and consumption for 10 traditional natural resource-based recreation activities in the South. The work builds on previous outdoor recreation forecasts (Bowker et al. in press) by explicitly incorporating climate, along with population growth, land-use changes, and future socioeconomic conditions into demand models and projections. The Intergovernmental Panel on Climate Change (2007) predicted that increases in the concentration of greenhouse gases in the atmosphere will further accelerate global warming, thereby resulting in significant climate change across the planet. The potential impacts of climate change have been projected within the context of various natural and biological systems. However, these impacts on human behavior and cultural interaction with nature remain largely unknown. Outdoor recreation opportunities rely heavily on natural settings, thus negative impacts on the quality and availability of forests and water bodies could negatively impact their long-term potential to provide recreational opportunities to humans (Morris and Walls 2009). Mendelsohn and Markowski (1999) suggested that climate could affect recreation in direct and indirect ways including the effect of severe weather on physical comfort or convenience, the effect that varying season lengths could have on availability and suitability of certain outdoor opportunities, and the degree and pace of alterations to the natural resource base on which outdoor activities depend. Although many expect the impacts of climate change on outdoor recreation to be negative, Gregory (2011) has argued that the reverse could be more likely for some forms of adventure recreation and that rising temperatures could open new opportunities worldwide. For example, enough ice could melt in polar areas to make rowing in the Polar North possible. Similarly, rapid glacial recession in the high Andes of Peru would help open new trekking routes. 12
A Geographic Information Systems and cellular automata-based model of informal settlement growth

There exists a vital need to increase our understanding of the fast-growing informal settlements (IS) within the burgeoning mega cities of the less developed countries. Previous attempts have used descriptive speculation about underlying social, political and cultural forces, but they have not generated sufficient understanding to underpin useful and effective management policies. The result has been the piecemeal application of planning procedures and IS policies that were developed elsewhere, in developed nations. This thesis explains why such methods tend not to work within developing countries. Nevertheless, recent progress in studies of complex urban systems conducted in developed countries, combined with the power of modern computer simulations, facilitates new insight into the dynamics of developing nations’ IS. Accordingly, this research utilises a cellular automata model, which is formally joined to a Geographic Information System (GIS), to better simulate the spread of informal settlements in
Edge and Ridge Detectors as a Techniques for Geomorphometry

Edge and Ridge Detectors as a Techniques for Geomorphometry. This paper describes methods for ridge or valley and edge detection of the digital elevation model. Ridge or valley and edge lines detection is the first step of automated delimitation of elementary forms of georelief. Methods of image processing (Neighbourhood algorithm and Canny edge detector) and analytical methods for edge and ridge detection as a potential tools for landform analysis are compared in this paper. An elementary morphodynamical form can be considered as a general continuous geometrical surface. Within the borders of such a form are suitable conditions for similar dynamical processes. In the areas where is geometrical and dynamical continuity corrupted is a sudden change in geometrical and dynamical properties of the surface. It is desired to define the boundaries between particular morphodynamical forms of the surface in these points. These boundaries are as well the boundaries of elementary forms of georelief. The change of single process dynamic affecting the georelief does not have to create morphologically strong boundaries. The delimitation of boundaries between morphodynamical forms is therefore not always unambiguous. This results from the fact that it is impossible to delimitate sharp- boundary value intervals of morphometrical characteristics used to define the first morphodynamical form and values of morphometrical characteristics defining the second morphodynamical form. In some cases is therefore better to define the boundaries of particular morphodynamical forms of georelief by specific lines in the georelief where it comes to change of the whole complex of morphometrical characteristics of georelief. Such lines are for example ridge and valley lines which created the terrain skeleton or notional edge lines on smooth and continuous surface. We can find the delimitation of boundaries of elementary surfaces in the frame of mathematical objects - manifolds and as well in the digital image processing. Many of the methods applied in the field of computer graphics are based on searching for specific lines of computing image. Detection of edges and ridges became one of the basic techniques for computer visualization of real objects.
Left Ventricular Mass Index Predicts Renal Function Decline in Patients with Chronic Kidney Disease

Background and Objectives: Several studies revealed a relation between abnormal cardiac remodeling and glomerular filtration rate (GFR) decline, but there are limited data regarding echocardiographic changes in chronic kidney disease (CKD). This study evaluated the abnormal cardiac structures characterizing patients with CKD, assessing the independent association between echocardiographic parameters and the risk of decline in renal function. Materials and Methods: In total, 160 patients with CKD were studied. All patients underwent an echocardiographic exam and 99mTc-DTPA renal scintigraphy to measure the GFR. After the baseline assessments, patients were followed prospectively for 12 months, or until the endpoint achievement, defined as a worsening in renal function (doubling of baseline serum creatinine, GFR decline ≥25%, the start of dialysis). Results: Patients with GFR values of 34.8 ± 15 mL/min, identifying stages III–IV of CKD, were associated with high levels of left ventricular mass index (LVMi) (101.9 ± 12.2 g/m2), which was related to proteinuria, systolic blood pressure, and pulmonary artery systolic pressure in a multiple regression model. During the observational period, 26% of patients reached the endpoint. Regression analysis revealed LVMi as a predictor of change in renal function after adjusting for kidney and cardiac risk factors. Multiple Cox regression indicated that an increase in LVMi was associated with a 12% increased risk of kidney disease progression (HR: 1.12; 95% CI: 1.04–1.16; p = 0.001). Conclusions: In patients with CKD, high LVMi represents an independent predictor of the progressive decline of the renal function, until the start of renal replacement therapy. Echocardiography can help identify patients at high risk for renal disease worsening in patients with CKD independently of clinical cardiac involvement.
Utilizing NMR fecal metabolomics as a novel technique for detecting the physiological effects of food shortages in waterfowl

Metabolomics is the study of small, endogenous metabolites that participate in metabolic reactions, including responses to stressors. Anthropogenic and environmental changes that alter habitat and food supply can act as stressors in wild waterfowl. These alterations invoke a series of physiological processes to provide energy to restore homeostasis and increase survival. In this study, we utilized fecal metabolomics to measure metabolites and identify pathways related to a 6-day feed restriction in captive mallard ducks (Anas platyrhynchos, n = 9). Fecal samples were collected before (baseline) and during feed restriction (treatment). H1 Nuclear Magnetic Resonance (NMR) spectroscopy was performed to identify metabolites. We found that fecal metabolite profiles could be used to distinguish between the feed-restricted and baseline samples. We identified metabolites related to pathways for energy production and metabolism endpoints, and metabolites indicative of gut microbiota changes. We also demonstrated that mallard ducks could utilize endogenous reserves in times of limited caloric intake. Fecal metabolomics shows promise as a non-invasive novel tool in identifying and characterizing physiological responses associated with stressors in a captive wild bird species.