Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of UAV‐based DTM and satellite‐based DEMs for local‐level flood modeling in Jamuna floodplain

Open‐source, satellite‐based digital elevation models (DEMs) are widely used for flood modeling. However, studies on effectiveness of these DEMs in depicting local‐level flood processes are limited. This study generated a high‐resolution digital terrain model (DTM) based on unmanned aerial vehicle (UAV) photogrammetry and used in a two‐dimensional (2D) hydrodynamic model (HEC‐RAS) to simulate the flood processes in a floodplain environment of the Jamuna River in northern Bangladesh. The effectiveness of a few satellite‐based DEMs was also compared with this DTM by using the DEMs in the same hydrodynamic model. Field data for two flood seasons were collected to develop the model. The results indicate that the 2D model with UAV‐based DTM provides the flood parameters, such as flood arrival time, depth, duration and extent, better than those from the satellite‐based DEMs. Of the open‐source DEMs, the FABDEM and the WorldDEM™ have the least errors and provide better results compared to the SRTM30, ALOS PALSAR, and ASTER DEMs. The UAV technique with ground control points and field measurements for the tree‐canopy and water areas is very useful in generating a fit‐for‐purpose DTM. The findings of this study would be useful for terrain generation and DEM selection for local‐level flood modeling elsewhere.
Clinico-Epidemiological Laboratory Findings of COVID- 19 Positive Patients in a Hospital in Saudi Arabia

Background Understanding COVID-19’s onset and clinical effects requires knowing host immune responses. Objective To investigate the presence of IgM, IgG, and cytokine levels (IL-2 and IL-6) in individuals with COVID-19 who have had their diagnosis confirmed by PCR. Methods This cross-sectional research included 70 adult ICU patients from King Abdullah Hospital in Bisha, Saudi Arabia. Subjects gave two blood samples. After hospital release, only 21 patients provided the second sample. Each patient provided a sample upon admission. Quantitative ELISAs evaluated IL-2, IL-6, and SARS-CoV-2-specific IgM and IgG antibodies. Results All patients were critically ill and unvaccinated against COVID-19. 46 (65.7%) of the patients were male, and their age range was 33–98 years (with a mean age of 66.5); 24.3%) were 51–61 years old. IgG was positive in all patients, although IgM predominated in 57/70 (81.4%) (6–1200 IU/mL). Total data analysis yielded these results. IL-6 was calculated at 10–1900 ng/mL, whereas IL-2 was 4–280. Discharged hospital patients had a statistically significant increase in IgM and IgG (P = 0.01, 0.004) but a statistically insignificant decline in IL-6 and IL-2 (P = 0.761, 0.071). Low IgM levels increased hospital stays. The study found lengthier hospital stays with higher IgG levels. Conclusion The identification of IgM and IgG antibodies, greater IL-6 levels, and lower IL-2 levels can help diagnose and monitor COVID-19 infection.
Using the Progressive Design Method in higher education: An analysis of cohesion, collaboration and inclusion dimensions

Many cognitive benefits for learning have been highlighted in the literature, due to peer feedback, but the relational aspects of this way of working, when it is implemented with groups of students, have been little investigated. This study aims to analyze some relational aspects of the use of peer feedback in the university context, considering in particular how the cohesion in the network of exchanges, the level of collaboration and inclusion of students, change during an activity carried out with a method based on peer feedback called Progressive Design Method. Eighteen undergraduate students participated in the study and worked in teams to develop projects in successive phases, each of which involved peer feedback in an online environment, Knowledge Forum. The results showed an increase in the values of the three dimensions (cohesion, collaboration and inclusion) in the first phases of work and a decrease in the last phase. The implications of the study focus on the possibility of creating collaborative learning environments in universities based on this method of work.
Working Capital Management, Free Cash Flow, Profitability and Firm Value

The main goal of a company is to optimize the firm’s value. A good working capital management, free cash flow, and profitability are expected to increase the firm’s value. This study analyzes on how working capital management, free cash flow, profitability, and firm value relate. This study uses the population of all food and beverage sub-sector companies in Indonesia from the period of 2019 - 2021. The technique used to test the hypothesis is multiple linear regression analysis. The results of the study are, that working capital management, free cash flow, and profitability have an effect towards firm value. Therefore, companies must pay attention to their cash conversion cycle, have a positive free cash flow so that there is flexibility in the company's finances, also in increasing profits so that ROA becomes higher hence investors will respond to this positive signal and the firm value will increase. Keywords: WCM, FCF, Profitability, Firm Value
We Stand on the Shoulders of Giants—Pioneers of Statistics in Industry

Abstract Industrial statistics has a rich and proud heritage. The field was initiated in the 1920s and picked up steam in the 1950s with the establishment of industrial statistics groups in several companies including American Cyanamid, DuPont, General Electric, Kodak, Western Electric, Procter and Gamble, General Foods, and 3M. It can be argued that we are in the third generation of the development of the profession. Indeed we are standing on the shoulders of giants. Several pioneering industrial statistics organizations are profiled in this article. The focus is on the roots of the organizations, the people involved and their contributions to their employers, advancements in the field and the development of the profession. Synthesis of this information provides some unique insights into who we are, what we have accomplished, and the needs and opportunities of the future.
A test of SDSS aperture corrections using integral-field spectroscopy

Corrections for fibre aperture losses in modern surveys such as the Sloan Digital Sky Survey are at the foundation of statistical studies of galaxy properties, yet these corrections are not well understood. We compare direct measurements of the total (aperture-free) H α-based star formation rate from integral-field spectroscopy with Brinchmann et al. and Gilbank et al. derived estimates of the star formation rate from fibre-aperture spectroscopy for the same z 0.07 star-forming galaxies drawn from the Sloan Digital Sky Survey. This comparison reveals that aperture-corrected star formation rates are underestimated for more highly star-forming galaxies: specifically by 0.3 and 0.6 dex at rates of star formation of 10 and 100 M yr−1, respectively, while the underestimate vanishes at 1 M yr−1. Furthermore, previous estimates of the aperture loss for H α emission only marginally correlate with direct measurements of the aperture loss for individual galaxies. The primary limitation of our work is the lack of spatially resolved dust attenuation corrections. We conclude that corrections for aperture losses should be considered with caution.
Circumspheres of sets of n + 1 random points in the d-dimensional Euclidean unit ball (1 ≤ n ≤ d)

In the d-dimensional Euclidean space, any set of n + 1 independent random points, uniformly distributed in the interior of a unit ball of center O, determines almost surely a circumsphere of center C and radius Ω (1 ≤ n ≤ d) and an n-flat (1 ≤ n ≤ d − 1). The orthogonal projection of O onto this flat is called O′ while Δ designates the distance O′C. The classical problem of the distance between two random points in a unit ball corresponds to n = 1. The focus is set on the family of circumspheres which are contained in this unit ball. For any d≥2 and 1≤n≤d−1, the joint probability density function of the distance Δ≡O′C and circumradius Ω has a simple closed-form expression. The marginal probability density functions of Δ and Ω are both products of powers and a Gauss hypergeometric function. Stochastic representations of the latter random variables are described in terms of geometric means of two independent beta random variables. For n=d≥1, Δ and Ω have a joint Dirichlet distribution with parameters (d, d2.
A rare presentation of Maffucci syndrome: A case report and literature review

Maffucci syndrome is an extremely rare disease which can manifest symptoms as early as childhood. It is estimated that there have been <300 cases reported globally; however, this number is likely to be an underestimate. Maffucci syndrome is characterized by multiple enchondromas and soft tissue hemangiomas, which can cause growth and developmental malformations. In addition to bone deformities, pathological fractures and a loss of mobility, patients with Maffucci syndrome may develop secondary central chondrosarcoma and have a higher risk of developing non-skeletal malignant tumors, such as gliomas and mesenchymal ovarian tumors. The present study provides information for clinicians about this disease through the use of imaging, physical examinations, clinical manifestations and the treatment strategy used. There is need to summarize the existing cases of this disease around the world and produce an effective framework for the diagnosis, treatment and prevention of Maffucci syndrome, in order to better understand this disease. The present study reports on a 15-year-old male diagnosed with Maffucci syndrome. Due to the risk of malignant tumor development in the absence of effective treatment, regular and careful observation through monitoring of tumor markers and imaging studies is important for patients with Maffucci syndrome. As cases of this disease are rare and case data is limited, it is difficult to create a clear treatment plan. There is an urgent need to establish a case database of Maffucci syndrome patients and explore its pathogenesis for early diagnosis, treatment and prevention of disease.
The Relative Influence of Atmospheric and Oceanic Model Resolution on the Circulation of the North Atlantic Ocean in a Coupled Climate Model

It is often unclear how to optimally choose horizontal resolution for the oceanic and atmospheric components of coupled climate models, which has implications for their ability to make best use of available computational resources. Here we investigate the effect of using different combinations of horizontal resolutions in atmosphere and ocean on the simulated climate in a global coupled climate model (Alfred Wegener Institute Climate Model [AWI‐CM]). Particular attention is given to the Atlantic Meridional Overturning Circulation (AMOC). Four experiments with different combinations of relatively high and low resolutions in the ocean and atmosphere are conducted. We show that increases in atmospheric and oceanic resolution have clear impacts on the simulated AMOC, which are largely independent. Increased atmospheric resolution leads to a weaker AMOC. It also improves the simulated Gulf Stream separation; however, this is only the case if the ocean is locally eddy resolving and reacts to the improved atmosphere. We argue that our results can be explained by reduced mean winds caused by higher cyclone activity. Increased resolution of the ocean affects the AMOC in several ways, thereby locally increasing or reducing the AMOC. The finer topography (and reduced dissipation) in the vicinity of the Caribbean basin tends to locally increase the AMOC. However, there is a reduction in the AMOC around 45°N, which relates to the reduced mixed layer depth in the Labrador Sea in simulations with refined ocean and changes in the North Atlantic current pathway. Furthermore, the eddy‐induced changes in the Southern Ocean increase the strength of the deep cell.
Quadratic Loss Minimization in a Regime Switching Model with Control and State Constraints

In this thesis, we address a convex stochastic optimal control problem in mathematical finance, with the goal of minimizing a general quadratic loss function of the wealth at close of trade. We study this problem in the setting of an Ito process market model, in which the underlying filtration to which the market parameters are adapted is the joint filtration of the driving Brownian motion for the market model, together with the filtration of an independent finite-state Markov chain which models occasional changes in “regime states”, that is our model allows for “regime switching” among a finite number of regime states. Other aspects of the problem that we address in this thesis are: (1) The portfolio vector of holdings in the risky assets is confined to a given closed and convex constraint set; (2) There is a “state constraint” in the form of a stipulated almost-sure lower bound on the wealth at close of trade. The combination of constraints represented by (1) and (2) makes the optimization problem quite challenging. The powerful and effective method of auxiliary markets, of Cvitanic and Karatzas [Ann. Appl. Prob. , v.2, 767-818, 1992] for dealing with convex portfolio constraints, does not appear to extend to problems with regimeswitching, while the more recent approach of Donnelly and Heunis [SIAM Jour. Control Optimiz. , v.50, 2431-2461, 2012], which deals with both regime-switching and the convex portfolio constraints (1), is nevertheless confounded when one adds state constraints of the form (2) to the problem. The reason for this is clear: state constraints of the form (2) typically involve “singular” Lagrange multipliers which fall well outside the scope of the “well-behaved” Lagrange multipliers, manifested either as random variables or stochastic processes, which suffice when one is dealing only with portfolio constraints such as (1) above. In these circumstances we resort to an “abstract” duality approach of Rockafellar and Moreau, which has been applied with considerable success to finite-dimensional problems of stochastic mathematical programming in which singular Lagrange multipliers also naturally arise. The main goal of this thesis is to adapt and extend the Rockafellar-Moreau approach to the stochastic optimal control problem summarized above. We find that this is indeed possible, although some considerable effort is required in view of the infinite dimensionality of the problem. We construct an appropriate space of Lagrange multipliers, synthesize a dual optimization problem, establish optimality relations which give necessary and sufficient conditions for the given optimization problem and its dual to each have a solution with zero duality gap, and use the optimality relations to synthesize an optimal portfolio in terms of the Lagrange multipliers.
Academic Burnout and Relationship with Gratitude

In education, academic burnout is a common problem that is often encountered and triggers problems related to student achievement and learning outcomes. High academic burnout is one of the triggers for high academic burnout among students. The aim of this research is, first to test empirically the relation between gratitude and academic burnout, and second to find out whether there or not the differences in academic burnout between male and female students. This research is descriptive correlative research. The number of samples is 197 respondents from the total population and using simple random sampling techniques for sampling. To find the relationship between the two variables, the product-moment correlation formula is used with a 5% of level error, and a t-test to look for the difference in the level of academic burnout between male and female students, the calculation is assisted by the SPSS program. The results of this study are, first, product-moment correlation reported there is a significant negative correlation (r-value = -0,387 > r-table 0,139, p= 0,000) between gratitude and academic burnout. Second, the results from the t-test is, there is no significant difference in academic burnout between male and female students meaning that both male and female students have the same opportunity to experience academic burnout.
Comparative construction morphology of diminutive forms in English and Urdu

Abstract This research paper investigates the function of diminutive morphology in English and Urdu languages with a focus on production, similarities, and differences in inflectional bound morphemes in the noun and adjective categories, and studies the usage patterns and impacts of diminutive forms in Urdu and English on interpersonal communication. The researchers, who are native Urdu speakers and English as a second language speakers, analyze the form and meaning of diminutive morphemes in both languages using Booij’s (2018) Construction Morphology model. Multiple sources are consulted for data collection, including corpora, dictionaries, linguistic databases, literary works, and language resources. The findings suggest that both English and Urdu retain a morphological function, but English has fewer inflectional morphemes than Urdu. Conversely, Urdu employs a large variety of suffixes, particularly for denoting the diminutive aspect, which distinguishes its semantic and pragmatic expressions from those of English. Despite both languages having inflections and using gradient production, English has lost more inflections due to undergoing more periods of change. Further, the usage patterns and impacts of diminutive forms in Urdu and English contribute to the richness and complexity of interpersonal communication. These provide speakers with a range of linguistic resources to express nuances of meaning, convey emotions, and shape social interactions. The paper concludes by noting that this research can help language learners and language scholars better understand the complexities of morphological structures in languages.
Comments on Surface Roughness Parameters and the Height of Dense Vegetation

from other characteristics of the surface has been considered for many years. Invariably it has been found that z0 is a fairly complicated function of the geometry, the spacing, and the nature of the roughness elements. Several formulations have been proposed recently (e.g. Lettau,1969; Wooding et al., 1973; Seginer, 1974) for z0 in terms of such characteristics as height, frontal area, density, concentration, spacing, and shape factors, etc. of the roughness obstacles. Unfortunately, however, for natural and crop covered surfaces the application of such formulations is often not practical. In those cases the only recourse is to make use of a suitable relationship betweem z0 and h0, the mean height of the roughness obstacles. This height h0 is not only the theoretically most obvious, but also the most unambiguous and available parameter that comes to mind for this purpose. Paeschke (1937) was probably the first to consider this for crop covered surfaces. His results showed that for various grasses and beets or. 7.39. It is one of the objectives of this short note merely to indicate that Kondo's (1971) . condition of sparsely placed obstacles with d0=0 is overly restrictive and that Paeschke's relationship may also be derived for densely placed obstacles. Inside a uniform stand of plants one can describe the mean wind profile by (e.g. Inoue, 1963, and independently Cionco, 1965)
Poplar Propolis Improves Insulin Homeostasis in Non-Diabetic Insulin-Resistant Volunteers with Obesity: A Crossover Randomized Controlled Trial

Propolis, a natural resinous mixture rich in polyphenols, produced by bees from a variety of plant sources, has shown significant therapeutic effects and may prevent the development of certain chronic diseases like type 2 diabetes mellitus (T2DM). The objective of this study was to evaluate the effect of supplementation with standardized poplar propolis extract powder (PPEP) on insulin homeostasis in non-diabetic insulin-resistant volunteers with obesity. In this randomized, controlled, crossover trial, nine non-diabetic insulin-resistant volunteers with obesity, aged 49 ± 7 years, were subjected to two periods of supplementation (placebo and PPEP) for 3 months. Blood samples and anthropomorphic data were collected at baseline and at the end of each phase of the intervention. PPEP supplementation improved insulin sensitivity by significantly decreasing the percentage of insulin-resistant subjects and the insulin sensitivity Matsuda index (ISI-M). According to this study, supplementation with standardized PPEP for 3 months in non-diabetic insulin-resistant volunteers with obesity led to an improvement in insulin homeostasis by its effect on insulin resistance and secretion. This study suggests that poplar propolis has a preventive effect on the physiopathological mechanisms of T2DM and, therefore, that it can help to prevent the development of the disease.
The Sustainability of Women’s SMEs During COVID-19 Pandemic

The COVID-19 pandemic has momentously affected the world economy, including Indonesia, whose economy decreased by -2.07% in 2020. This phenomenon has presented monumental challenges and put heavy pressure on women entrepreneurs as social norms in Indonesia generally require women to bear the responsibility of taking care of household affairs. Meanwhile, a successful women-run business is typically characterized by personality, competence, and environmental support surrounding her. Therefore, in ensuring business sustainability, affording flexibility for women in running a business is needed. One way to achieve the goal is through running a business through digital means during economic downturns such as the COVID-19 pandemic. The research method used in this study is a quantitative method using an online questionnaire distributed to 250 women entrepreneurs as a data collection tool. Data were thereupon processed by using Amos, with the Structural Equation Model (SEM) application. This study shows that environmental competence and support have a consequential effect on organizational flexibility, while personality does not influence organizational flexibility. This study also finds that organizational flexibility significantly affects company performance.
Identification of the novel FOXP3-dependent Treg cell transcription factor MEOX1 by high-dimensional analysis of human CD4+ T cells

CD4+ T cells play a central role in the adaptive immune response through their capacity to activate, support and control other immune cells. Although these cells have become the focus of intense research, a comprehensive understanding of the underlying regulatory networks that orchestrate CD4+ T cell function and activation is still incomplete. Here, we analyzed a large transcriptomic dataset consisting of 48 different human CD4+ T cell conditions. By performing reverse network engineering, we identified six common denominators of CD4+ T cell functionality (CREB1, E2F3, AHR, STAT1, NFAT5 and NFATC3). Moreover, we also analyzed condition-specific genes which led us to the identification of the transcription factor MEOX1 in Treg cells. Expression of MEOX1 was comparable to FOXP3 in Treg cells and can be upregulated by IL-2. Epigenetic analyses revealed a permissive epigenetic landscape for MEOX1 solely in Treg cells. Knockdown of MEOX1 in Treg cells revealed a profound impact on downstream gene expression programs and Treg cell suppressive capacity. These findings in the context of CD4+ T cells contribute to a better understanding of the transcriptional networks and biological mechanisms controlling CD4+ T cell functionality, which opens new avenues for future therapeutic strategies.