Miracle-dz/UniFAR-FTUs huggingface dataset:
Antioxidant action of Rosemary extract in soybean oil submitted to thermoxidation

This work was aimed at evaluating the antioxidant activity of rosemary extract added to soybean oil in thermoxidation conditions. Purified soybean oil, refined soybean oil and refined soybean oil containing 1,000 mg/kg rosemary extract were heated at 180 °C. The oxidation of the samples was evaluated after 0, 2.5, 5, 7.5 and 10 hours of thermoxidation by means of oxidative stability determination, total polar compounds and conjugated dienes. The purified oil differed significantly from the refined oil, mainly in relation to oxidative stability due the removal of the natural antioxidants. Rosemary extract presented antioxidant effects at high temperatures. After 10 hours of heating, 1,000 mg/kg rosemary extract added to the refined soybean oil significantly increased the oil oxidative stability from 7.52 to 13.5 hours and decreased the formation of polymers and decomposing products measured through the polar rates from 17.35 to 7.99%. The build up of primary oxidation products gauged through diene rates also decreased from 1.61 to 0.80%. Rosemary extract could be recommended as an alternative antioxidant.
Effect of Dietary Replacement of Soyabean Meal with Toasted Sesame Seed on Performance, Tibia Bone Mineralisation and Gut Morphology of Broilers Chicken

Aims: This experiment was conducted to assess the effect of dietary replacement of soybean meal with toasted Sesame seed on performance, tibia bone mineralization and gut morphology of broiler chicken. Study Design: The design of the study was a completely randomized design. Place and Duration of Study: The experiment was carried out at Poultry Unit, Teaching and Research Farm of University of Ibadan, Nigeria and lasted for 8 weeks. Methodology: A total of 150 one-day old broiler birds were randomly allotted into 5 experimental treatments with 3 replicates each (10 birds per replicate) in a completely randomized design. Toasted sesame seed supplemented with 600 ppm microbial phytase was replaced in the dietary treatments at 0%, 10%, 20%, 30% and 40% for Soyabean meal both at the starter and finisher phases. Feed intake (FI), body weight gain (BWG) and feed conversion ratio (FCR) were measured and calculated weekly throughout the experimental period. Six birds per treatment were selected at the
New national and regional bryophyte records, 44

Syntrichia norvegica is a circumpolar arctic- montane species (Smith, 2004), rare at lower altitudes and in southern Europe (Frey et al., 2006). It is known from several south-eastern European countries (Sabovljevic et al., 2008) and now it is recorded for the first time in Croatia. Regarding its conservation status, S. norvegica is red listed in Great Britain (EN), Czech Republic (CR), Slovakia (VU), Bulgaria (NT), Hungary (DD), Romania (VU) and Estonia (VU) (Hodgetts, 2014). It was found in the northern Velebit Mountains, in an area with the most outstanding and extreme karst relief, with steep slopes, perpendicular rocks, screes and deep dolines. The locality is situated in the Pinus mugo Turra belt, but owing to its position in the shaded bottom of a deep, funnel-shaped doline with slopes inclined at more than 70u, the zonal vegetation is replaced by frigoriphilous communities. The main community on the very bottom is Drepanoclado uncinati-Heliospermetum pusillae Surina & Vres 2004, which encompasses many species of cold habitats characterized by long-lasting snow cover, e.g. Saxifraga sedoides L. subsp. prenja (Beck) Beck (glacial relict in the Velebit), Heliosperma pusillum (Waldst. & Kit.) Rchb. , Polygonum viviparum L. , Myosotis alpestris F.W. Schmidt, Poa alpina L. and Festuca nitida Kit. This community was spread over ca 250 m2 and was bordered by low shrubs of Salix waldsteiniana Willd. , which form another frigoriphilous community Salicetum waldsteinianae Beger 1922. In the moss flora, another arctic- montane species, Cyrtomnium hymenophylloides (Huebener) T.J.Kop. , is very abundant, and this is the only known locality in Croatia (Blockeel et al., 2009c). Further bryophytes that were present include Sanionia uncinata (Hedw.) Loeske, Orhothecium rufescens (Dicks. ex Brid.) Schimp. , Campylium protensum (Brid.) Kindb. , Campylophyllum halleri (Hedw.) M.Fleisch. , Sciuro-hypnum reflexum (Starke) Ignatov & Huttunen, Platydictya jungermannioides (Brid.) H.A. Crum, Hypnum bambergeri Schimp. , Plagiopus oederianus (Sw.) H.A. Crum & L.E. Anderson, and Plagiochilla porelloides (Torr. ex Nees) Lindenb. among others. The population of S. norvegica was vigorous, forming dozens of dense patches of several dm2 on rocks and among other bryophytes and herbs. Plants were typically developed, deep green, with long, reddish leaf points, but capsules were not found.
Deconstruction of heterogeneity of size-dependent exosome subpopulations from human urine by profiling N-glycoproteomics and phosphoproteomics simultaneously.

The heterogeneous populations of exosomes with distinct nano-size have impeded our understanding of their corresponding function as intercellular communication agents. Profiling signaling proteins packaged in each size-dependent subtype can disclose this heterogeneity of exosomes. Herein, new strategy was developed for deconstructing heterogeneity of distinct-size urine exosome subpopulations by profiling N-glycoproteomics and phosphoproteomics simultaneously. Two-dimension size exclusion liquid chromatography (SEC) was utilized to isolate large exosomes (L-Exo), medium exosomes (M-Exo) and small exosomes (S-Exo) from human urine samples. Then, hydrophilic carbonyl functionalized magnetic zirconium-organic framework (CFMZOF) was developed as probe for capturing the two kinds of post-translational modification (PTM) peptides simultaneously. Finally, liquid chromatography-tandem mass spectrometry (LC-MS/MS) combined with database search was used to characterize PTM protein contents. We identified 144 glycoproteins and 44 phosphoproteins from L-Exo, 156 glycoproteins and 46 phosphoproteins from M-Exo and 134 glycoproteins and 10 phosphoproteins from S-Exo. The ratio of the proteins with simultaneous glycolation and phosphorylation is 11%, 9% and 3% in L-Exo, M-Exo and S-Exo, respectively. Based on label-free quantification intensity results, both principal component analysis and Pearson's correlation coefficients indicate distinct-size exosome subpopulations exist significant differences in PTM protein contents. Analysis of high abundance PTM proteins in each exosome subset reveals that the preferentially packaged PTM proteins in L-Exo, M-Exo and S-Exo are associated with immune response, biological metabolism and molecule transport processes, respectively. Our PTM proteomics study based on size-dependent exosome subtypes opens a new avenue for deconstructing the heterogeneity of exosomes.
QRS Complex Detection Using Novel Deep Learning Neural Networks

Objective: Accurate QRS complex detection is essential for electrocardiography (ECG) diagnosis. Many proposed algorithms don’t perform satisfactorily on noisy and arrhythmia ECGs. The purpose of this study is to develop a noise resistant and generalizable method to detect QRS complexes accurately. Methods: Two deep learning models based on multi-dilated convolutional blocks are proposed. One model (CNN) is mainly composed of convolutional blocks and Squeeze-and-Excitation networks (SENet). The other model (CRNN) contains a hybrid convolutional and recurrent neural network. With 5-fold cross-validation approach the models are trained and tested on four open-access ECG databases: the China Physiological Signal Challenge (2019) database (CPSCDB), the MIT-BIH Noise Stress Test Database (NSTDB), the MIT-BIH Arrhythmia Database (MITDB) and the QT Database (QTDB). Results: The F1 score of CNN model on CPSCDB, NSTDB, MITDB and QTDB are 0.9929, 0.9892, 0.9994 and 0.9998 respectively. The F1 score of CRNN model on these four databases are 0.9947, 0.9953, 0.9995 and 0.9998 respectively. The ensemble of both models scored the first place in the China Physiological Signal Challenge (2019). Conclusion: The proposed models achieve state-of-the-art performance in QRS complex detection and show good generalization on different databases. This work might help make better ECG diagnosis.
Studies on Mitochondrial Structure and Function in Physarum polycephalum . VII. Association between Mitochondrial Nuclear DNA and the Outer Limiting Membrane Complex

The spatial relationship between the mitochondrial nucleus (mt-nucleus) containing a large amount of DNA (mtDNA) and the mitochondrial limiting membrane in Physarum polycephalum was investigated. After labeling the mtDNA with [3H]-thymidine, significant labels appeared over the space of the mitochondrial matrix as well as the mt-nucleus; this suggests that an appreciable amount of the mtDNA exists in the matrix. When the cristae and inner limiting membrane are removed selectively by Triton X100 lysis, DNA-like fibers appear to extend from the mt-nucleus to the matrix space. One end of these fibers is attached to a knob-like structure that adheres to the outer limiting membrane of the mitochondrion. A portion of the mtDNA in the isolated mt-nucleus also extends from the mt-nucleus and is associated with mitochondrial membrane-like patches through the knob-like coupling. These results suggest that the mtDNA extends from the mt-nucleus throughout the mitochondrial matrix and that it is associated with the mitochondrial limiting membrane complex in the mitochondrion in situ. The Physarum mitochondrion contains about 10 times more DNA than does other mitochondrion sources (5). The bulk of this DNA is localized mainly in an electron dense region, "the mitochondrial nucleus", situated in the central portion of the mitochondrion (16). However, [3H]-thymidine autoradiography shows that small amounts of silver grains also appear over the non-nuclear region of the mitochondrial matrix (20, see RESULTS). Whole mount preparations have shown that a portion of the mtDNA in the mt-nucleus extends from the mt-nucleus and is associated with parts of the cristae and the mitochondrial membrane (8, 14). Therefore, an appreciable amount of mtDNA may exist within the non-nuclear part of the mitochondrial matrix in situ. However, the large amounts of cristae and matrix substances make direct observation of this DNA difficult. Recently, we reported that the mitochondrial cristae and the inner limiting membrane can be selectively removed from the mitochondria with Triton X-100 or Nonidet P-40, and that the mt-nucleus and outer limiting membrane remain intact (11-15). The present paper documents the existence of mtDNA in the matrix extending from the mt-nucleus, that is bound to a mitochondrial outer limiting membrane complex.
Water Stress Detection Over Irrigated Wheat Crops in Semi-Arid Areas using the Diurnal Differences of Sentinel-1 Backscatter

This work aims to investigate the sensitivity of the diurnal differences of radar backscatter to diurnal changes in the vegetation water content (VWC). Sentinel-1 backscattering coefficient differences between two orbits (morning and evening) are analyzed over an irrigated and voluntarily stressed wheat field. A physical model of backscatter prediction is evaluated for wheat and used to examine the sensitivity of radar differences to the VWC for a range of surface soil moisture and biomass conditions. Results highlight the potential of C-band diurnal differences for the monitoring the water stress over agricultural canopies
Curve Sprinting in Soccer: Kinematic and Neuromuscular Analysis

Abstract Sprinting in curvilinear trajectories is an important soccer ability, corresponding to ~85% of the actions performed at maximum velocity in a soccer league. We compared the neuromuscular behavior and foot contact-time between outside leg and inside leg during curve sprinting to both sides in soccer players. Nine soccer players (age=23±4.12 years) performed: 3×Sprint linear, 3×Sprint right curve, and 3×Sprint left curve. An ANOVA with repeated measures was used to compare the differences between inside and outside leg, and Cohen’s d was used to calculate the effect-size. Considering the average data, the performance classification (from best to worst) was as follows: 1. Curve “good” side (2.45±0.11 s), 2. Linear (2.47±0.13 s), and 3. Curve “weak” side (2.56±0.17 s). Comparing linear with curve sprinting, inside leg recorded significant differences (“good” and “weak”; effect size=1.20 and 2, respectively); in contrast, for outside leg, there were no significant differences (“good” and “weak”; effect size=0.30 and 0.49, respectively). Electromyography activity showed significant differences (p≤0.05) during curve sprinting between outside (higher in biceps femoris and gluteus medius) and inside leg (higher activity in semitendinosus and adductor). In summary, inside and outside leg play different roles during curved sprints, but inside leg is more affected by the change from straight to curve sprint.
Distributed Clustering Algorithm in Sensor Networks via Normalized Information Measures

Distributed data clustering in sensor networks is receiving increasing attention with the development of network technology. A variety of algorithms for distributed data clustering have been proposed recently. However, most of these algorithms have trouble with either non-Gaussian shaped data clustering or model order selection problem. In order to address such two problems simultaneously, we propose a novel discriminative clustering algorithm with rigorous convergence analysis via normalized information measures and then extend it to a distributed one by borrowing consensus algorithms from the multi-agent consensus community. More specifically, we first select the normalized information distance (NID) between cluster data and cluster labels as the objective function, by minimizing which, a Minimum Normalized Information Distance-based (MNID) algorithm with capabilities of non-Gaussian data clustering and model selection is then proposed. Next, to further implement the MNID algorithm in a distributed manner, we employ some finite-time multi-agent consensus algorithms over the sensor networks to calculate the global model parameters, where only local intermediate variables are exchanged between one-hop neighbors. Both the centralized and the distributed MNID algorithms are proved to converge rigorously. Finally, the validity of the proposed algorithms is demonstrated through numerical tests on both synthetic and real data.
A Comparison of Methods for Measuring Turgor Pressures and Osmotic Pressures of Cells of Red Beet Storage Tissue

Two methods for measuring the turgor pressures of cells in discs of storage tissue of red beet (Beta vulgaris L.) were compared, and a centrifugation method for extracting sap from frozen and thawed tissue was evaluated. Turgor pressures were measured directly using a pressure probe, or indirectly using a vapour pressure osmometer. With the latter, discs were placed directly in the osmometer chamber and turgor was calculated as the difference in osmotic pressure before and after freezing and thawing. Turgor in freshly cut discs, measured with the pressure probe, was between 0 012 MPa and 0-118 MPa with a mean ±s.d. of 0 092 + 0-032 MPa (n = 24). That measured with the osmometer varied between 0-08 MPa and 0-12 MPa with a mean ±s.d. of 0-09 ±0-10 MPa(n = 54). After vacuum infiltration of discs with distilled water, the turgor measured with the pressure probe increased to 1-05 1-12 MPa. Turgor measured with the osmometer also increased after vacuum infiltration but was, on average, 12% lower than that measured with the pressure probe. Overall, the results suggest that for routine measurements, the osmometer can provide reasonable estimates of the turgor of cells in beet discs. This is because a number of factors that, potentially, could interfere with this method have only a small effect in this tissue. None of the measured turgors is indicative of that occurring in intact storage roots because both excision and vacuum infiltration of discs alter the concentrations of solutes in the extracellular space. The osmotic pressure of sap extracted by centrifugation from frozen and thawed discs was not significantly different from that measured by placing frozen and thawed discs directly in the osmometer. Solute concentrations in the sap were not significantly different from those measured by chemical extraction of discs.
Silencing circSLAMF6 represses cell glycolysis, migration, and invasion by regulating the miR-204-5p/MYH9 axis in gastric cancer under hypoxia

Abstract Background: Gastric cancer (GC) is a malignant tumor of the digestive tract. Hypoxia plays an important role in the development of cancer, including GC. The present study aimed to investigate the role of circular RNA SLAMF6 (circSLAMF6) in the progression of GC under hypoxia. Methods: The expression of circSLAMF6, microRNA-204-5p (miR-204-5p) and myosin heavy chain 9 (MYH9) was measured by quantitative real-time polymerase chain reaction (qRT-PCR). GC cells were maintained under hypoxia (1% O2) for experiments in vitro. Glucose consumption and lactate production were determined by a Glucose Assay Kit and a Lactate Assay Kit, respectively. Levels of all protein were detected by Western blot. Cell migration and invasion were examined by Transwell assay. The interaction between miR-204-5p and circSLAMF6 or MYH9 was analyzed by dual-luciferase reporter and RNA immunoprecipitation (RIP) assays. Murine xenograft model was established to explore the role of circSLAMF6 in vivo. Results: CircSLAMF6 expression was increased in GC cells under hypoxia. Hypoxia promoted glycolysis, migration, and invasion in GC cells, which were reversed by circSLAMF6 knockdown. CircSLAMF6 was validated as a miR-204-5p sponge, and MYH9 was a target of miR-204-5p. Functionally, miR-204-5p inhibitor weakened the inhibition of circSLAMF6 knockdown on GC cell progression under hypoxia. Besides, MYH9 depletion suppressed glycolysis, migration, and invasion in GC cells under hypoxia. Importantly, circSLAMF6 deficiency inhibited tumor growth in vivo by regulating the miR-204-5p/MYH9 axis. Conclusion: CircSLAMF6 was involved in glycolysis, migration, and invasion by regulating the miR-204-5p/MYH9 axis in GC cells under hypoxia.
Note: Reclassification of Pseudomonas echinoide Heumann 1962, 343AL, in the genus Sphingomonas as Sphingomonas echinoide comb. nov.

[Pseudomonas] echinoides DSM 1805T (= ATTC 14820T, DSM 50409T, ICBP 2835T, NCIB 9420T) has been reinvestigated to clarify its taxonomic position. 16S rDNA sequence comparisons demonstrated that this species clusters phylogenetically with species of the genus Sphingomonas. Investigation of fatty acid patterns, polar lipid profiles, polyamine patterns and quinone systems supported this delineation. Substrate utilization profiles and biochemical characteristics displayed no distinct overall similarity to any validly described species of the genus Sphingomonas. Therefore, the reclassification of [Pseudomonas] echinoides as Sphingomonas echinoides comb. nov. is proposed, based upon the estimated phylogenetic position derived from 16S rRNA gene sequence data, chemotaxonomic data and previously published genomic DNA G+C content data.
Endometrioma surgery is associated with increased risk of subsequent assisted reproductive technology cycle cancellation; a retrospective cohort study

Abstract The aim of this study was to assess the effect of laparoscopic removal of endometrioma on assisted reproductive technology (ART) outcome. A retrospective cohort study was conducted at a university hospital between January 2014 and December 2017. The ART group consisted of 26 women who underwent 44 ART cycles in the presence of ovarian endometrioma and the surgery group consisted of 53 women who underwent 58 ART cycles after laparoscopic removal of ovarian endometrioma/s. There were no statistically significant differences between the groups regarding demographic parameters and background features including cycle parameters. The live birth rates in the ART and Surgery groups per embryo transfer were 23.7 and 26.1%, respectively (p = .800). The rate of cycle cancellation due to poor response and/or failed oocyte retrieval was significantly higher in the Surgery group than ART group (13.7 vs. 0%, respectively; p = .018). In conclusion, cystectomy significantly increases the risk of cycle cancellation due to poor ovarian response, which might be catastrophic individually. However, it does not seem to affect the live birth rates. IMPACT STATEMENT What is already known on this subject? Both the presence of an endometrioma or surgical removal may have deleterious effects on fertility potential. What do the results of this study add? Our results confirm that although cystectomy has no benefit on the number of oocytes collected and live birth rate, it increases the risk of cycle cancellation significantly in assisted reproductive technology cycles following endometrioma surgery. What are the implications of these findings for clinical practice and/or further research? Postponing cystectomy until a freeze-all cycle may be the best option to maximise the number of oocytes retrieved and to maximise the ovarian response.
Factors Influencing Parental Involvement on Saudi Students from Parents' Perspectives

Parental involvement has received a great deal of attention in educational research, practice, and policy. The study examines the influence of parental involvement on students as one of the main predictors of students’ academic achievement and success. Data collection in this study involved interviewing 21 parents whose children study in primary schools in different locations in Saudi Arabia. This study considered the following research question: What are the perspectives of Saudi parents about barriers that hinder parental involvement at selected primary schools in Saudi Arabia? Findings of the study shows that lack of communication between families and school is one of the barriers that decreases the level of parental involvement and discourage parents to engage in schools’ activities or attend parent-teacher conferences. Participants felt that they were not welcomed in schools when they wanted to ask about their children’s educational progress or behavioral issues. Another concern is lack of time for working parents who are not able to attend schools’ events. More research is needed to understand the influence of parental involvement for Saudi families.
A generalized, bioclimatic index to predict foliar phenology in response to climate

The phenological state of vegetation significantly affects exchanges of heat, mass, and momentum between the Earth's surface and the atmosphere. Although current patterns can be estimated from satellites, we lack the ability to predict future trends in response to climate change. We searched the literature for a common set of variables that might be combined into an index to quantify the greenness of vegetation throughout the year. We selected as variables: daylength (photoperiod), evaporative demand (vapor pressure deficit), and suboptimal (minimum) temperatures. For each variable we set threshold limits, within which the relative phenological performance of the vegetation was assumed to vary from inactive (0) to unconstrained (1). A combined Growing Season Index (GSI) was derived as the product of the three indices. Ten‐day mean GSI values for nine widely dispersed ecosystems showed good agreement (r>0.8) with the satellite‐derived Normalized Difference Vegetation Index (NDVI). We also tested the model at a temperate deciduous forest by comparing model estimates with average field observations of leaf flush and leaf coloration. The mean absolute error of predictions at this site was 3 days for average leaf flush dates and 2 days for leaf coloration dates. Finally, we used this model to produce a global map that distinguishes major differences in regional phenological controls. The model appears sufficiently robust to reconstruct historical variation as well as to forecast future phenological responses to changing climatic conditions.