Miracle-dz/UniFAR-FTUs huggingface dataset:
Qualimetric Assessment of Waffles with Fillings of Organic Raw Materials

For improving the amino acid and organoleptic characteristics of floury confectionary products, new recipes of waffles with fillings of natural raw materials “Summer temptation” and “Coco pleasure” have been created. Only organic raw materials were used for both recipes. The composition of waffles “Summer temptation” included: buckwheat flour, reed sugar, creamy butter, dry skimmed milk and sea-buckthorn oil, lemongrass powder. Rice flour, coco sugar, dry coco milk, lemongrass powder were added to the composition of waffles “Coco pressure”. <br><br>A control sample is waffles “Artek”, produced by the traditional recipe. The main difference between the offered samples is in fact that the new waffles are produced of organic raw materials only and contain non-traditional ones in their composition. Wheat flour, lipid base and sugar are replaced in the samples. This paper offers a qualimetric assessment scale for waffles quality and presents assessment results
A SABOTAGEM DAS ZONAS ESPECIAIS DE INTERESSE SOCIAL DE VAZIO PELO MUNICÍPIO DE FORTALEZA: UM INDICATIVO DO ABANDONO DAS ZEIS COMO INSTRUMENTO DE POLÍTICA URBANA E DE REGULARIZAÇÃO FUNDIÁRIA NA CIDADE?

This research intends to analyze the way how Fortaleza municipality dealt with the Special Zones of Social Interest (ZEIS) type 3, during the first ten years of existence of the Participative Master Plan (PDPFor) of Fortaleza. By studying the legal regulamentation of ZEIS type 3, the type of ZEIS created to give use to vacant land, this paper intends to provide an explanation for how ZEIS type 3 in Fortaleza was made impracticable through the actions of the municipal Public Power itself, thus this research show how the municipality of Fortaleza sabotaged it’s own instrument of urban policy. The conclusion here presented is that Fortaleza municipality, which currently goes through the review process of the city’s master plan, will not strive to implement ZEIS type 3, but rather will favor an urban policy that is distant from the ideals that the PDPFor embodies.
Unsupervised Congestion Status Identification Using LMP Data

Having a better understanding of how locational marginal prices (LMPs) change helps in price forecasting and market strategy making. This paper investigates the fundamental distribution of the congestion part of LMPs in high-dimensional Euclidean space using an unsupervised approach. LMP models based on the lossless and lossy DC optimal power flow (DC-OPF) are analyzed to show the overlapping subspace property of the LMP data. The congestion part of LMPs is spanned by certain row vectors of the power transfer distribution factor (PTDF) matrix, and the subspace attributes of an LMP vector uniquely are found to reflect the instantaneous congestion status of all the transmission lines. The proposed method searches for the basis vectors that span the subspaces of congestion LMP data in hierarchical ways. In the bottom-up search, the data belonging to 1-dimensional subspaces are detected, and other data are projected on the orthogonal subspaces. This procedure is repeated until all the basis vectors are found or the basis gap appears. Top-down searching is used to address the basis gap by hyperplane detection with outliers. Once all the basis vectors are detected, the congestion status can be identified. Numerical experiments based on the IEEE 30-bus system, IEEE 118-bus system, Illinois 200-bus system, and Southwest Power Pool are conducted to show the performance of the proposed method.
Tailoring the phase transition and electron-phonon coupling in 
1T′−MoTe2
 by charge doping: A Raman study

Transition-metal dichalcogenides are a class of widely studied two-dimensional layered materials which exist in various polymorphs. The $1{T}^{\ensuremath{'}}$ phase of $\mathrm{Mo}{\mathrm{Te}}_{2}$ is of prime importance as it has been reported to show quantum spin-Hall (QSH) behavior with a fairly large band gap of \ensuremath{\sim}60 meV, in contrast to most QSH materials known. It is noteworthy that though the monolayer $1{T}^{\ensuremath{'}}\text{\ensuremath{-}}\mathrm{Mo}{\mathrm{Te}}_{2}$ was initially predicted to show the QSH behavior, recent theoretical studies claim that the few-layered counterparts also exhibit higher-order topological behavior. Besides, $1{T}^{\ensuremath{'}}\text{\ensuremath{-}}\mathrm{Mo}{\mathrm{Te}}_{2}$ also undergoes a hysteretic phase transition to the ${T}_{d}$ phase (which is a type-II Weyl semimetal) by breaking the inversion symmetry of the crystal. While the phase transition between these two topological phases is of utmost importance, its study has been mostly restricted to bulk single-crystal flakes, thereby not sufficiently exploring the effect of dimensionality. We have studied the phase transition in $1{T}^{\ensuremath{'}}\text{\ensuremath{-}}\mathrm{Mo}{\mathrm{Te}}_{2}$ as a function of flake thickness. Altough our Raman studies show a suppression of the phase transition in the thin (thickness $l10\phantom{\rule{4pt}{0ex}}\mathrm{nm}$) flakes [similar to the report by He et al., Phys. Rev. B 97, 041410 (2018)], we have experimentally demonstrated the possibility of stabilizing the desired phase ($1{T}^{\ensuremath{'}}$ or ${T}_{\mathrm{d}}$) at room temperature by charge doping. Further, we have observed clear signatures of electron-phonon coupling in $\mathrm{Mo}{\mathrm{Te}}_{2}$, which evolves as a function of flake thickness and charge doping.
The neutralization of heparan sulfate by heparin-binding copolymer as a potential therapeutic target

Besides regulating ligand–receptor and cell–cell interactions, heparan sulfate (HS) may participate in the development of many diseases, such as cancer, bacterial or viral infections, and their complications, like bleeding or inflammation. In these cases, the neutralization of HS could be a potential therapeutic target. The heparin-binding copolymer (HBC, PEG41-PMAPTAC53) was previously reported by us as a fully synthetic compound for efficient and safe neutralization of heparins and synthetic anticoagulants. In a search for molecular antagonists of HS, we examined the activity of HBC as an HS inhibitor both in vitro and in vivo and characterized HBC/HS complexes. Using a colorimetric Azure A method, isothermal titration calorimetry and dynamic light scattering techniques we found that HBC binds HS by forming complexes below 200 nm with less than 1 : 1 stoichiometry. We confirmed the HBC inhibitory effect in rats by measuring activated partial thromboplastin time, prothrombin time, anti-factor Xa activity, anti-factor IIa activity, and platelet aggregation. HBC reversed the enhancement of all tested parameters caused by HS demonstrating that cationic synthetic block copolymers may have a therapeutic value in various disorders involving overproduction of HS.
Where are mines located in sub Saharan Africa and how have they expanded overtime?

Mining is a multi‐billion‐dollar industry spanning major to artisanal and small‐scale mines, with diverse local to regional socio‐economic and environmental impacts. Sub Saharan Africa (SSA) has large deposits of minerals, which has made it a global epicenter for investors in the extractive industries. Here, we identified and mapped 469 company‐owned and community‐managed mines across SSA, most of which are formal, to explore their distribution and areal extents and understand the potential threats they pose to conservation. The dominant eight commodities in SSA are gold, copper, iron, limestone, uranium, diamond, bauxite and petroleum, making up 405 mines and occupying 85% of the 3,055 km2 total areal extent. Mining significantly expanded between 2000 and 2018, with 260 (58%) new mines created and major expansion of many older mines. Hotspots of mining activity are apparent in the copper‐belt of the Democratic Republic of Congo and Zambia, Ghana and the Niger‐Delta region of Nigeria. These mining 'hotspots' are distributed in close proximity to regions of high carbon stocks and value to biodiversity conservation, with the areal extent of mines more than doubling between 2000 and 2018 to 1,192 km2 within 10 km of a protected area, suggesting susceptibility to deforestation and other environmental consequences. The identification of mines and their changing spatial extent is imperative for monitoring future encroachments in SSA and to conservation and habitat recovery. Furthermore, Africa needs to introduce sustainable mineral development policies to safeguard and protect its forests, especially reducing the frequency of protected area downgrading, downsizing and degazettement events.
Fertility Parameters of Male and Female Rats Simultaneously Treated with Aqueous Extract of Eremomastax speciosa

Article history: Received 25 June 2020 Accepted 17 July 2020 Available online 24 July 2020 Eremomastax speciosa is widely used in ethnomedicine for various purposes, but the possible toxic effects on fertility parameters following sub-acute intake have not been studied. 36 immature male and 36 adult female rats were each divided into four groups of nine rats (Control, Extract 250, 500, 1000 mg/kg). Males received extract for 60 days and females for 14 days. From day 15, a fertility study was done by cohabiting one male with one female from each corresponding group for 10 days. In males, plant extract (250-1000 mg/kg; p< 0.01) reduced testicular and spleen weights, increased epididymis weights (250-500 mg/kg; p<0.001) and increased spermatozoa density and motility (at 250 mg/kg). In females, the extract did not influence number of uterine resorptions and number of live offspring compared with controls. Red blood cell count significantly increased (p<0.01) in males and significantly decreased (p<0.05) in females compared with controls. Simultaneous treatment of male and female rats with the extract of E. speciosa does not negatively affect reproductive performance. E. speciosa may be safely used by reproducing couples at the dose of 250 mg/kg for the management of various disease conditions without the risk of reproductive toxicity.
Variable selection for ultra-high dimensional quantile regression with missing data and measurement error

In this paper, we consider variable selection for ultra-high dimensional quantile regression model with missing data and measurement errors in covariates. Specifically, we correct the bias in the loss function caused by measurement error by applying the orthogonal quantile regression approach and remove the bias caused by missing data using the inverse probability weighting. A nonconvex Atan penalized estimation method is proposed for simultaneous variable selection and estimation. With the proper choice of the regularization parameter and under some relaxed conditions, we show that the proposed estimate enjoys the oracle properties. The choice of smoothing parameters is also discussed. The performance of the proposed variable selection procedure is assessed by Monte Carlo simulation studies. We further demonstrate the proposed procedure with a breast cancer data set.
On the Differential Analysis of Enterprise Valuation Methods as a Guideline for Unlisted Companies Assessment (II): Applying Machine-Learning Techniques for Unbiased Enterprise Value Assessment

The search for an unbiased company valuation method to reduce uncertainty, whether or not it is automatic, has been a relevant topic in social sciences and business development for decades. Many methods have been described in the literature, but consensus has not been reached. In the companion paper we aimed to review the assessment capabilities of traditional company valuation model, based on company’s intrinsic value using the Discounted Cash Flow (DCF). In this paper, we capitalized on the potential of exogenous information combined with Machine Learning (ML) techniques. To do so, we performed an extensive analysis to evaluate the predictive capabilities with up to 18 different ML techniques. Endogenous variables (features) related to value creation (DCF) were proved to be crucial elements for the models, while the incorporation of exogenous, industry/country specific ones, incrementally improves the ML performance. Bagging Trees, Supported Vector Machine Regression, Gaussian Process Regression methods consistently provided the best results. We concluded that an unbiased model can be created based on endogenous and exogenous information to build a reference framework, to price and benchmark Enterprise Value for valuation and credit risk assessment.
Utilization of Nonequilibrium Phase Change Approach to Analyze the Nonisothermal Multiphase Flow in Shallow Subsurface Soils

The prediction of coupled nonisothermal multiphase flow in porous media has been the subject of many theoretical and experimental studies in the past half a century. In particular, the evaporation phenomenon from the shallow subsurface has been extensively studied based on the notion of equilibrium phase change between liquid water and water vapor (i.e., instantaneous phase change). One of the frequent assumptions in equilibrium phase change approach is that liquid water is hydraulically connected throughout the vadose zone. Furthermore, classical soil‐water retention curves (e.g., van Genuchten model), which have been extensively used in the literature to model evaporation process, are only valid for high and intermediate saturation degrees. Although these limitations have been addressed and improved in separate studies, they have not yet been rigorously incorporated in the numerical modeling of nonisothermal multiphase flow in shallow subsurface of in‐field soils. Therefore, the aim of this study is to investigate the coupled heat, liquid, and vapor flow in soil media through the Hertz‐Knudsen‐Schrage (HKS) phase change model and by incorporating a water retention model which captures the soil‐water characteristics from full to oven‐dried saturation degrees. A numerical model is developed and validated against the in‐field experimental data. Reasonable agreements between the calculated and measured values of water contents at all depths, as well as the temperature, and cumulative evaporation are observed. Results also confirm that the contribution of the film flow in overall mass flow in the medium is required for accurate modeling and cannot be ignored.
Effectiveness of an educational program on Nurses’ Knowledge towards Nursing Management of Patients with Transurethral Resection of the Bladder Tumor at Hilla Teaching Hospitals

Bladder cancer is the fourth most prevalent tumor in men and eighth in women. Approximately 50,000 new cases are diagnosed annually in the around the world. The study aims at: assess nurse’s knowledge regarding management of patients who undergo the transurethral resection of the bladder tumor. A descriptive study is conducted during the periods of July 29th 2018 to December 25th 2019.The study conducted in Hilla Teaching Hospital and Al’imam Alsadiq Teaching Hospital were the designated site for data collection. By non-probability “purposive sample” of (51) nurses, data were collected for pre-post test and analyzed a descriptive and inferential statistical data analysis approach. Results of the study depicts that age of the nurses ranged from 20- 43 years, (60%) of nurses in the control group, there were somewhat less female nurses (45.2%) than male nurses (54.8%) in the study group and (32%) were female and (68%) nurses male in the control group, (80.6%were married in the study group and 22 (88%) were married in the control group, education was from a secondary nursing school and institute degree (35.5%) for each degree in the study group, and (48%) institute degree in the control group, (1-5) years was (67.7%) in the study group and (68%) in the control group. Nurses knowledge in the study group has increased from (M.S. 1.3026) in the pretest time to (M.S. 1.6787) in post test time for the control group, this score has slightly increase from pre test (M.S. 1.2985) to post tests (M.S. 1.3343). There were concluded improving in nurses’ knowledge after post-test for study group for educational program concerning management of patients with transurethral resection of the bladder tumor. While control group did not present any improvement in their knowledge concerning management of patients with transurethral resection of the bladder tumor at pre and post-test. It is need to be encouraging nurses to be enrolled in training sessions to improve their knowledge to keep them up to date toward management of patients with transurethral resection of the bladder tumor.
Developing coastal relocation policy: lessons learned from the FEMA Hazard Mitigation Grant Program

ABSTRACT Relocation is increasingly being considered a viable adaptation strategy in some coastal locations. Even though recent coastal disasters and a higher awareness of sea level rise have accentuated the importance of relocation, this is not a new strategy and has been applied as an effective hazard mitigation measure over the last three decades. The main objective of this paper is to evaluate the acquisition and relocation projects funded between 1989 and 2016 as a part of the Hazard Mitigation Grant Program (HMGP) and determine how the allocations for these projects evolved over time. A trend analysis was applied to assess how the number and the dollar amount of approved acquisition/relocation projects differ between coastal and inland counties, and within these categories, between rural and urban districts. Our findings show that inland counties had a significantly higher number of projects in any given year; however, average cost per coastal project has been continually increasing while that of inland projects decreased over the study period. Further, there is no marked difference between the number of and total amount spent on inland rural versus urban projects, while those in the coastal zone significantly differ in all categories between rural and urban counties.
Understanding Smart Wearable Sensors Technology: Impact on Human Health and Fitness

In the field of health care management, smart wearable devices and its supporting technologies have tremendously made a name all around the globe. Smart watches and other sensor trackers are practically being used by various people and its usage has shown to be accompanied with lots of benefits. This technology was envisaged to play a vital role in the healthcare needs of people; especially with applications in the healthcare sector. The objective of this study, therefore, is to evaluate the technological impact of wearable sensors in human health and fitness (HHF). A web based survey was used for data collection for the period of one month. Emails were sent to registered members of a particular gym who uses any of the smart wearable sensors in keeping fit. The study findings indicate that among the smart wearable devices examined, smart wristwatches (45.6%) appears to be the most commonly used wearable sensor device followed by smart wrist bands (34.7%), smart textiles (10.7%) and smart rings (9.1%). This signifies that a large number of people can effortlessly use SWSs and devices and are optimistic about its support in their daily healthcare/fitness needs. Users are positive on the technological prospects of SWSs and devices; although there is a gap between personal motivation to use wearable devices and trust in the confidentiality and privacy of data generated. Keywords: Devices, Health, Fitness, Wearable, Sensors
Peptide signaling molecules CLE5 and CLE6 affect Arabidopsis leaf shape downstream of leaf patterning transcription factors and auxin

Abstract Intercellular signaling mediated by small peptides is critical to coordinate organ formation in animals, but whether extracellular polypeptides play similar roles in plants is unknown. Here we describe a role in Arabidopsis leaf development for two members of the CLAVATA3/ESR‐RELATED peptide family, CLE5 and CLE6, which lie adjacent to each other on chromosome 2. Uniquely among the CLE genes, CLE5 and CLE6 are expressed specifically at the base of developing leaves and floral organs, adjacent to the boundary with the shoot apical meristem. During vegetative development CLE5 and CLE6 transcription is regulated by the leaf patterning transcription factors BLADE‐ON‐PETIOLE1 (BOP1) and ASYMMETRIC LEAVES2 (AS2), as well as by the WUSCHEL‐RELATED HOMEOBOX (WOX) transcription factors WOX1 and PRESSED FLOWER (PRS). Moreover, CLE5 and CLE6 transcript levels are differentially regulated in various genetic backgrounds by the phytohormone auxin. Analysis of loss‐of‐function mutations generated by genome engineering reveals that CLE5 and CLE6 independently and together have subtle effects on rosette leaf shape. Our study indicates that the CLE5 and CLE6 peptides function downstream of leaf patterning factors and phytohormones to modulate the final leaf morphology.
Delay‐dependent robust control of stochastic systems with convex polynomial uncertainty

This article addresses a robust control problem of time‐varying stochastic systems with time‐delays. Through Linear Parameter Varying (LPV) modeling approach, the time‐varying parameters can be described via the convex combination. Therefore, the LPV stochastic system is interpreted by a weighting function and multiplicative noised linear systems. Furthermore, stabilization problem for the systems is investigated via Gain‐Scheduled (GS) technique to increase robustness. For the problem, some sufficient conditions are derived by Integral Lyapunov‐Krasovskii Function (ILKF) such that the conservatism caused by derivative of weighting function is ignored. Besides, an Iterative Linear Matrix Inequality algorithm is used to determine the auxiliary variable such that the problem can be solved via the convex calculation. Finally, some simulations are provided to demonstrate effectiveness and applicability of this article.