Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of bioactive compounds of defatted flaxseed meal on rheological and sensorial properties of toast and cake

This study was conducted to investigate the chemical composition and the storage stability of flaxseeds defatted meal fractions as food ingredients, phenolic contents and antioxidant activity of flaxseed meal extracts. Effect of substitution of wheat flour with different concentrations of defatted flaxseeds meal on rheological and sensory properties of toast bread, and cake was also investigated. The results indicated that flaxseed defatted meal is rich in protein, fiber and minerals and poor in its carbohydrate content comparing with whole wheat flour and wheat flour (72%). it contains 34.65 protein, 37.08 % crude fibers, 5.53% ash, 2.35 % fats and 5.972% moisture. While it had carbohydrate content of 14.408%. The results indicated that there were no significant (P ≤ 0.05) changes in the peroxide values over the 105 day of storage. The results also showed that free fatty acid value was slightly increased during the storage time. Polyphenolic contents were varied from 360.14 to 595.76 mg/100g DW according to the extraction solvent used. The results indicated that the flaxseed meal extracts showed a strong antioxidant activity against 1,1-dipheny-2 -picrylhydrazyl (DPPH) . The effective concentration 50 % (EC50) was 1.323 and 1.981mg/mg DPPH and antiradical efficiency values ware 0.756 and 0.505 for methanol + water and ethanol +water respectively. Rheological properties of the dough's were found to be affected with flaxseed meal addition. The results showed that replacement 5% of wheat flour by flaxseed meal flour increases the water absorption and development time of the dough. While the stability and the energy of the dough was decreased by addition of flaxseed meal. The results of sensory evaluation proved that toast and cake enriched with defatted flaxseed flour up to 10% was acceptable to the consumer. The results of the sensory evaluation showed that the samples produced by replacement 5% of the wheat flour with defatted flaxseed meal had no significant differences for most of the sensory characteristics.
A survey of adaptive cell population dynamics models of emergence of drug resistance in cancer, and open questions about evolution and cancer

This article is a proceeding survey (deepening a talk given by the first author at the Biomath 2019 International Conference on Mathematical Models and Methods, held in Bedlewo, Poland) of mathematical models of cancer and healthy cell population adaptive dynamics exposed to anticancer drugs, to describe how cancer cell populations evolve toward drug resistance.Such mathematical models consist of partial differential equations (PDEs) structured in continuous phenotypes coding for the expression of drug resistance genes; they involve different functions representing targets for different drugs, cytotoxic and cytostatic, with complementary effects in limiting tumour growth. These phenotypes evolve continuously under drug exposure, and their fate governs the evolution of the cell population under treatment. Methods of optimal control are used, taking inevitable emergence of drug resistance into account, to achieve the best strategies to contain the expansion of a tumour.This evolutionary point of view, which relies on biological observations and resulting modelling assumptions, naturally extends to questioning the very nature of cancer as evolutionary disease, seen not only at the short time scale of a human life, but also at the billion year-long time scale of Darwinian evolution, from unicellular organisms to evolved multicellular organs such as animals and man. Such questioning, not so recent, but recently revived, in cancer studies, may have consequences for understanding and treating cancer.Some open and challenging questions may thus be (non exhaustively) listed as:- May cancer be defined as a spatially localised loss of coherence between tissues in the same multicellular organism, `spatially localised' meaning initially starting from a given organ in the body, but also possibly due to flaws in an individual's rms of evolution towards drug resistance governed by the phenotypes which determine landscape such as imperfect epigenetic control of differentiation genes? - If one assumes that ''The genes of cellular cooperation that evolved with multicellularity about a billion years ago arethe same genes that malfunction in cancer. '', how can these genes besystematically investigated, looking for zones of fragility - that depend on individuals - in the 'tinkering' evolution is made of, tracking local defaults of coherence? - What is such coherence made of and to what extent is the immune system responsible for it (the self and differentiation within the self)? Related to this question of self, what parallelism can be established between the development of multicellularity in different species proceeding from the same origin and the development of the immune system in these different species?
The impact of thyroid function on the occurrence of metabolic syndrome in obese children and adolescents.

INTRODUCTION Thyroid axis abnormalities are common in obese patients. Their contribution in the development of metabolic obesity complications remains unclear. AIM OF STUDY To assess the influence of thyroid axis dysfunction on the occurrence of metabolic obesity complications. MATERIAL AND METHODS A cross-sectional review of the thyroid function in 100 obese patients (59 girls and 41 boys, mean age 13.5 years) with alimentary obe-sity (mean standardised body mass index [BMI SDS] in boys 4.175 and girls 4.723) complicated by metabolic syndrome (MS) diag-nosed on the basis of the IDF 2006 criteria (MS, 25 patients) and uncomplicated (75 patients). TSH, fT4, fT3 thyroid peroxidase anti-bodies (TPOAb), and thyroglobulin antibodies (TGAb) were assessed in a single fasting blood sample. RESULTS There was no case of overt thyroid disease within the whole analysed group. There were no significant differences in mean TSH, fT4, and fT3 levels in patients with and without MS (2.7 µIU/ml vs. 3.0 µIU/ml, 14.5 vs. 14.0 pmol/l, and 5.6 vs. 6.2, respectively; p > 0.05). In the MS group only two patients (8%) presented with a TSH level above the upper limit of the normal range; in the group without MS elevated TSH was noticed in 18 (24%) patients. The maximal value of TSH (10.44 µIU/ml) was noticed in one boy without MS. Positive TPOAb and/or TGAb were present in 11% of all patients: two patients (8%) with MS and nine (12%) without MS. CONCLUSIONS Isolated increased TSH level is common in obese adolescents, although there is no correlation between TSH, fT3, and fT4 levels and BMI SDS value. Isolated increased TSH level is not associated with the occurrence of MS in obese adolescents. The occurrence of asymptomatic autoimmune thyroiditis (AITD) in obese adolescents is more common than in the general population.
Transition mode of the vacuum arc in an axial magnetic field: comparison of experimental results and theory

The transition mode for drawn vacuum arcs in an axial magnetic field (AMF) occurs over a few milliseconds during the evolution from the initial bridge column arc to the diffuse arc mode. This dynamic period of arc evolution is studied using a diffuse column arc model for the behavior of individual cathode spot jets burning in parallel with a high-current arc column. The model calculates a critical arc voltage, which is largely a function of the contact gap and only weakly dependent on the AMF strength. Experimental observations of the transition mode show that when the arc voltage exceeds the critical voltage, the arc is in one of two modes. The first mode consists of a central column with few or no cathode spots outside the column, and the second involves the appearance of some cathode spots outside the column. When the arc voltage drops below the critical voltage, the arc converts into a high-current diffuse mode for alternating currents ranging from 5-28 kA rms and axial magnetic field strengths from 2.5-7.5 mT/kA. Further modeling work shows that the fraction of current flowing through the column decreases with time during the transition mode.
Principal Component Analysis (PCA) Method for Classification of Beef and Pork Aroma Based on Electronic Nose

There are several testing processes for consuming meat products. Organoleptic evaluation is an evaluation based on color, texture, smell, and taste. This research aims to find out the response pattern of 10 gas sensor array contained in the electronic nose against the odor pattern of beef and pork base on a smell. The classification method used is using the Principal Component Analysis (PCA) method. This method is expected to simplify the test of differences in beef and pork based on the aroma. The meat used is standard beef and pork consumption that has been sold in supermarkets. Samples of beef and pork are then ground until smooth. After that, it is weighed until it reaches 1 ounce. The meat samples were tested using an electronic nose consisting of 10 gas sensors. The multivariate analysis method was used to classify the aroma of beef and pork. The results of the data processing showed that the aroma classification of beef and pork which was indexed by the electronic nose was perfect. Based on the PCA method, the proportion of PC1 is 93.4%, and PC2 is 4.9%. From the second cumulative number, the value of the first PC was obtained 98.3%. This value indicates that only with 2-dimensional data, can represent ten dimensions of data. The loading plot shows that the MQ-138 and MQ-3 sensors are the most powerful sensors in testing samples of beef and pork.
Enumerating subgraph instances using map-reduce

The theme of this paper is how to find all instances of a given “sample” graph in a larger “data graph,” using a single round of map-reduce. For the simplest sample graph, the triangle, we improve upon the best known such algorithm. We then examine the general case, considering both the communication cost between mappers and reducers and the total computation cost at the reducers. To minimize communication cost, we exploit the techniques of [1] for computing multiway joins (evaluating conjunctive queries) in a single map-reduce round. Several methods are shown for translating sample graphs into a union of conjunctive queries with as few queries as possible. We also address the matter of optimizing computation cost. Many serial algorithms are shown to be “convertible,” in the sense that it is possible to partition the data graph, explore each partition in a separate reducer, and have the total computation cost at the reducers be of the same order as the computation cost of the serial algorithm.
Morphology, phylogeny and taxonomy of the genus Sectonema (Nematoda, Aporcelaimidae)

This contribution provides new insights in the phylogeny and taxonomy of the nematode genus Sectonema with an integrative approach. A brief historical outline of the matter is presented. Then, the morphological pattern of the genus is revised and illustrated, the nature of its stomatal protruding structure, either a reduced odontostyle or a mural tooth, being its most relevant diagnostic feature. The existence of cilia‐ or seta‐like structures in the perioral area and/or at the anterior part of cheilostom of some species is evidenced by SEM observations for the first time. Available molecular data (D2–D3 LSU‐rRNA gene) are analysed, including two new sequences of S. septentrionale from Spain. The monophyly of the genus is confirmed, and two species groups with geographical projection are tentatively identified. A close relationship with Metaporcelaimus is also demonstrated as both taxa constitute a highly supported clade. A likely polyphyly of the family Aporcelaimidae is once more demonstrated. Finally, an updated taxonomy of the genus is proposed, including revised diagnosis, list of species, identification key and a compendium of their main morphometrics.
Robust appearance feature learning using pixel‐wise discrimination for visual tracking

Considering the high dimensions of video sequences, it is often challenging to acquire a sufficient dataset to train the tracking models. From this perspective, we propose to revisit the idea of hand‐crafted feature learning to avoid such a requirement from a dataset. The proposed tracking approach is composed of two phases, detection and tracking, according to how severely the appearance of a target changes. The detection phase addresses severe and rapid variations by learning a new appearance model that classifies the pixels into foreground (or target) and background. We further combine the raw pixel features of the color intensity and spatial location with convolutional feature activations for robust target representation. The tracking phase tracks a target by searching for frame regions where the best pixel‐level agreement to the model learned from the detection phase is achieved. Our two‐phase approach results in efficient and accurate tracking, outperforming recent methods in various challenging cases of target appearance changes.
Tolerability of BRAF/MEK inhibitor combinations: adverse event evaluation and management

The inhibition of the mitogen-activated protein kinases signalling pathway through combined use of BRAF and MEK inhibitors (BRAFi+MEKi) represents an established therapeutic option in patients with BRAF-mutated, advanced melanoma. These efficient therapies are well tolerated with mostly moderate and reversible side effects and a discontinuation rate due to adverse events of 11.5%–15.7%. Median duration of therapy ranges between 8.8 and 11.7 months. Based on data from confirmatory trials, safety profiles of three BRAFi+MEKi combinations were reviewed, that is, dabrafenib plus trametinib, vemurafenib plus cobimetinib and encorafenib plus binimetinib. Many adverse events are class effects, such as cutaneous, gastrointestinal, ocular, cardiac and musculoskeletal events; some adverse events are substance associated. Fever (dabrafenib) and photosensitivity (vemurafenib) are the most common and clinically prominent examples. Other adverse events are less frequent and the association to one substance is less strong such as anaemia, facial paresis (encorafenib), neutropenia (dabrafenib), skin rash, QTc prolongation and increased liver function tests (vemurafenib). This narrative review provides recommendations for monitoring, adverse event evaluation and management focusing on the clinically relevant side effects of the three regimens.
Leadership behaviour and leader self-reported well-being: A review, integration and meta-analytic examination

ABSTRACT While the link between leadership and follower well-being is well established, less is known about the relation between leaders’ leadership behaviour and their own well-being. Particularly, a systematic integration of existing studies is missing. Based on an integrated framework summarising major theories on the leader well-being–leadership link, we quantitatively synthesised findings on the relations between different leadership behaviours and leader well-being indicators. The meta-analytical results (95 effect sizes; N = 12,617) confirmed significant relationships of constructive and destructive leadership with leader well-being in the expected directions. Relative weight analyses on the constructive leadership behaviours showed that change-oriented and relational-oriented leadership (e.g. transformational, participative) accounted for more variance in leader well-being than task-oriented leadership (e.g. transactional). Regarding destructive leadership, active destructive leadership (e.g. abusive supervision) showed stronger negative associations with leader well-being than passive leadership (e.g. laissez-faire). Based on our integrated framework, we proposed and found support for divergent patterns of associations for different forms of well-being (positive vs. negative, short-term vs. long-term, job-related vs. general). Our study demonstrates a considerable linkage between leader well-being and leadership, supporting the adoption of leadership development programmes and organisational health interventions for leaders given their impact on employees, teams and organisations.
RT-HIL Implementation of the Hybrid Synchrophasor and GOOSE-Based Passive Islanding Schemes

Real-time hardware-in-the-loop performance assessment of three different passive islanding detection methods for local and wide-area synchrophasor measurements is carried out in this paper. Islanding detection algorithms are deployed within the phasor measurement unit (PMU) using logic equations. Tripping decisions are based on local and wide-area synchrophasors as computed by the PMU, and trips are generated using IEC 61850-8-1 generic object-oriented substation event messages. The performance assessment compares these islanding detection schemes for the nondetection zone and operation speed under different operating conditions. The testbench that is demonstrated is useful for a myriad of applications where simulation exercises in power system computer-aided design software provide no realistic insight into the practical design and implementation challenges. Finally, different communication latencies introduced due to the utilization of synchrophasors and IEC 61850-8-1 GOOSE messages are determined.
Reassortment Patterns in Swine Influenza Viruses

Previous human influenza pandemics were the results of emerging viruses from non-human reservoirs, with at least two caused by strains of mixed human and avian origin. Also, many cases of swine influenza viruses have reportedly infected humans, including the recent human H1N1 strain, isolated in Mexico and the United States. Pigs are documented to get infected with human, avian, and swine viruses and allow productive replication, thus it has been conjectured that they are the “mixing vessel” that create reassortant strains, causing the human pandemics. In this paper, we apply several statistical techniques to an ensemble of publicly available swine viruses to study the reassortment phenomena. The reassortment patterns in swine viruses confirm previous results found in human viruses that the glycoprotein coding segments reassort most often. Moreover, one of the polymerase segments (PB1), reassorted in the strains responsible for the last two human pandemics of 1957 and 1968, also reassorts frequently.
Well-Being And Academic Performance In Immigrant Students: The Role Of Inequality Of Country Of Origin And Resilience

Well-being and Academic Performance in Immigrant Students: The Role of Inequality of Country of Origin and Resilience by Yumiko Yamaguchi Advisor: Adriana Espinosa, PhD Research on the psychology of immigrants has primarily focused on their socioeconomic status, but has not factored in macroeconomic indicators. These provide a deeper understanding of the stressors experienced by immigrants through the lens of cultural gaps between home and host countries. This study examined predictors of psychological well-being (PWB) and academic performance among 376 immigrant college students by employing Bronfenbrenner’s bioecological model of development (1994) consisting of four levels of environmental factors: Macrosystem, exosystem, mesosystem and microsystem. The results revealed that higher PWB was predicted by mesosystem variables (lower perceived stress, lower acculturative stress) and microsystem variables (higher resilience, higher ethnic identity, being older), whereas better academic performance was predicted by microsystem variables (being younger, higher resilience) and exosystem variables (higher family economic status). Although macrosystem factors (economic growth, income inequality) alone did not impact the outcomes significantly, an additional moderation analysis revealed a significant interaction effect of income inequality and resilience in predicting PWB. Namely, the positive relation between resilience and PWB was larger in magnitude among immigrants from more egalitarian countries than it was among immigrants from less egalitarian countries. Immigrants from non-egalitarian countries proved to WELL-BEING AND ACADEMIC PERFORMANCE IN IMMIGRANTS v be more resilient than immigrants from egalitarian countries: Their higher level of resilience seemed to translate into better skills of coping with distress rather than enhancing their PWB or academic performance. Higher levels of ethnic identity were also associated with better PWB, but not with academic performance. The moderating effect found for PWB was not found for academic performance.
Alfalfa (Medicago sativa)–Cheat (Bromus secalinus) Competition

A study was conducted at two locations to evaluate the effects of cheat (Bromus secalinus L. ♯3 BROSE) competition on four seeding rates (4.5, 9.0, 13.5, and 22 kg/ha) of alfalfa (Medicago sativa L. ‘Riley’). Three stages of first harvest (early bud, early bloom, and late bloom) were imposed on fall-planted alfalfa, with and without cheat overseeding, to determine the effects of harvest stage on alfalfa yield and quality. Cheat infestations significantly decreased alfalfa production and forage quality. Increasing the seeding rate of alfalfa only partially offset these losses. Harvesting early helped minimize the effect of cheat competition. First-harvest protein yield of forage was significantly decreased by, cheat overseeding. Total protein yield at first harvest was not affected by cutting stage but did increase with the two higher seeding rates of alfalfa.
Presence of Destruxin A and Beauvericin in cereals

A LC-MS/MS method for the detection of destruxin A (DTX A) and beauvericin (BEA) in cereals was developed, validated and applied to commercial products collected in Italian markets in the years 2015-2016. Results showed that BEA contaminated 59 % of the samples even if only 15 of them (34%) showed quantifiable residues (comprised between 0.11 and 7.51 ng/g). The sample of red rice contaminated with the highest BEA level was also contaminated with DTX A (0.28 ng/g). Finally, no significant differences were detected between contaminated samples based on the production year and the agronomic technology used (organic or conventional farming).
Further study of Boron-10 loaded liquid scintillators for detection of fast and thermal neutrons

Boron-10 loaded liquid scintillators were studied in order to improve n/γ separation. Pulse shape discrimination (PSD) was done by means of a zero-crossing (ZC) method to distinguish between γ-rays and fast/slow neutrons. A significant progress was achieved for BC523A2 and EJ339A2 loaded with reduced amount of 10B (2% and 2.5%, respectively), as compared to the results obtained earlier with BC523A loaded with 5% of 10B. The improvement was probably caused by the reduction of 10B content, as indicated in the latter study. A 10B loaded scintillator EJ309B5 based on a non-flammable liquid was also studied, showing the best separation of thermal neutron capture events from fast neutrons, γ-rays and noise.