Miracle-dz/UniFAR-FTUs huggingface dataset:
Teacher strategies in online learning to increase students’ interest in learning during COVID-19 pandemic

Interest has a very important role in learning. This interest leads to motivation in learning and it can improve learning outcomes. This study focused on understanding and exploring the strategies used by teachers of SDIT Rabbi Radhiyya Curup to increase student's interest in learning and to express students' responses in Online learning during the COVID-19 pandemic. This research is qualitative research with a phenomenological approach in which the principal, the vice-principal of curriculum, the teachers, and students were the informants of this research. The data were collected by conducting semi-structured interviews which were analyzed by using the Miles and Huberman model. The results showed that the strategies used by the teacher to increase students' interest in learning were to provide students with an understanding of the importance of learning, to make learning material brief, clear, and interesting, to use simple and interesting media, and to conduct regular and continuous evaluations. Online learning, students get something fun, but they lack togetherness with their friends.
Determination of Stresses in Incrementally Deposited Films From Wafer-Curvature Measurements

We report closed-form formulas to calculate the incremental-deposition stress, the elastic relaxation stress, and the residual stress in a finite-thickness film from a wafer-curvature measurement. The calculation shows how the incremental deposition of a new stressed layer to the film affects the amount of the film/wafer curvature and the stress state of the previously deposited layers. The formulas allow the incremental-deposition stress and the elastic relaxation to be correctly calculated from the slope of the measured curvature versus thickness for arbitrary thicknesses and biaxial moduli of the film and the substrate. Subtraction of the cumulative elastic relaxation from the incremental-deposition stress history results in the residual stress left in the film after the whole deposition process. The validities of the formulas are confirmed by curvature measurements of electrodeposited Ni films on substrates with different thicknesses.
Contribution of thiol- and hydroxycinnamic acids metabolism of sourdough lactobacilli on structural and sensorial properties of wheat breads

Initially, the contribution of wheat sourdough fermentations on the final bread volume is presented. The distribution of enzyme activities in lactobacilli able to generate volatile aroma compounds from hydroxycinnamic acids is discussed in the second part of this thesis. Finally, insights are given into the oxidative stress response of L. sanfranciscensis; two main enzyme activities contributing to the aerobic life of the strain, glutathione reductase and NADH-oxidase, respectively, are characterized by creating of cognate knockout-mutant strains.
The complete mitochondrial genome of Hericium coralloides (Hericiaceae, Basidiomycota)

Abstract In this study, the complete mitochondrial genome of the medicinal mushroom Hericium coralloides (Hericiaceae, Basidiomycota) was sequenced. This mitochondrial genome is 72,961 bp in length and consisted of 14 protein-coding genes, 21 hypothetical open reading frames, 2 ribosomal RNA subunits and 27 transfer RNAs. The overall nucleotide composition of is 41.33% A, 40.71% T, 9.06% C and 8.90% G, with GC content of 17.96%. A phylogenetic tree with the complete mitochondrial genome sequences of Hericium coralloides together with 9 other affinis mushrooms was constructed. The newly achieved mitochondrial genome sequence seem to be useful for addressing taxonomic issues and studying related evolution events, which would contribute to enrich the fungal mitochondrial genome resource and promote the biological research.
Association between Glycemic Control and Birth Weight with Glycated Albumin in Women with Gestational Diabetes Mellitus

Background: Gestational diabetes mellitus (GDM) is defined as glucose intolerance that is primarily detected during pregnancy. Objective: To determine the relationship between glycemic control and glycated albumin in women with GDM. Patients and Methods: This prospective study was carried out in the Department of Obstetrics and Gynecology, Zagazig University Hospitals, Zagazig, Sharkia, Egypt from December 2018 to October 2019. The study included 30 patients suffering from GDM (study group) as well as another matching 30 women (control group). Maternal screening for all cases at 24-28 wks using a 75-gm oral glucose tolerance test (OGTT) which is a fasting blood glucose sample was done. Results: GA levels were significantly higher after 24 weeks of gestation in the GDM group compared with controls. Elevated GA levels had a positive correlation with birth weight. In the present study, fetal weight was significantly higher among the study group (3850.0±513.7) than controls (3396.6±334) (p < 0.001). Glycated albumin, HbA1c only showed association with large‐ for‐ date status. Also, GA24_28, more than 13.4 had a sensitivity of 82% and specificity of 72% for GDM. ROC curve, as the cut‐ off point for identifying poor glycemic control in GDM women, and provided the optimal sensitivity (75.93%) and specificity (86.36%). Conclusion: GDM women, the risk of macrosomia significantly increases when the GA levels are ≥14.45% in the third trimester. The results provide strong support for the use of GA measurements, as a complement to finger stick glucose, for assessing short‐ term glycemic control and predicting large birth weight in the GDM women.
Determination of Antibiotic Resistance in Selected Clinical Bacterial Isolates.

The antibiotics field was initiated when Paul Ehrlich first coined the term ‘magic bullet’, or chemotherapy, to designate the use of antimicrobial compounds to treat microbial infections. In 1910, Ehrlich discovered the first antibiotic drug, Salvarsan, which was used against syphilis. Ehrlich was followed by Alexander Fleming, who discovered penicillin by accident in1928. Then, in the 1935, Gerhard Domagk discovered the sulfa drugs, thereby paving the way to the discovery of the anti-TB drug Isoniazid. Then, in 1939 Rene Dobos became then first scientist to discover an antibiotic after purposely looking for it in soil microbes. Dubos discovered Gramicidin, which is still used today to treat skin infections. Finally, in 1943, the first TB drug, Streptomycin, was discovered by Selman Waksman and Albert schatz. Waksman was also the one who coined the term ‘antibiotics’. Thus, antibiotics have been used to treat bacterial infections since the 1940(Ying Zhang Pseudomonas aeruginosa and Staphylococcus aureus is an opportunistic pathogen that causes human infection; and they showed high resistant to most antibiotic (ampicillin, chloromphenicol), Transformation process results derives us to conclude that all genes responsible for antibiotic resistant in Pseudomonas aeruginosa and Staphylococcus aureus from the findings of this study, This has been attributed to either the ability of these organisms to produce resistance mechanisms, for this the characterization of plasmid DNA of P.aeruginosa and Staphylococcus aureus isolates indicated that these two isolates transfer to another bacteria, in present study to E. coli DH5" strain.
Characterization and comparison of UK, Irish, and French cold pressed rapeseed oils with refined rapeseed oils and extra virgin olive oils

Various chemical parameters were used to characterize a wide range of cold pressed rapeseed oils and to contrast the findings with refined rapeseed and extra virgin olive oil. There were significant differences between cold pressed rapeseed oils regarding almost all measured parameters. Volatile composition analysis showed that hexanal, 3-methyl pentane and 1-butene, 4-isothiocyanato were the most abundant compounds. There was no correlation between volatile compounds and geographical region of cold pressed rapeseed oils. French cold pressed rapeseed oils were found in exhibit significantly higher antioxidant activity levels than cold pressed rapeseed oils from other regions. Refined rapeseed oil was found to have a higher antioxidant activity but have significantly lower levels of phenolic acids (0.008 mg/kg oil) than cold pressed rapeseed oil (0.46 mg/kg oil). These phenolic acids appear to be important for oxidative stability as cold pressed rapeseed oil was more stable under heat stress than refined rapeseed oil. Olive oil was the most stable under heat stress, largely due to its comparatively high saturated fat content. Antioxidant potential, phenolic acids and peroxide values were found to be the main factors differentiating cold pressed rapeseed oil from refined rapeseed oil. Practical applications: Cold pressed rapeseed oil is a relatively new oil to the market and this study is the first to examine oils available to the British, Irish and French consumers. It shows the compositional variation of oils on the market by analyzing many parameters important for oil quality and consumer palatability. Antioxidant behavior and phenolic acid identification indicate potential health benefiting properties. This research also compares cold pressed rapeseed oils with market competitors which allows for clear comparison of these widely used edible oils. Cold pressed rapeseed oil is made by mechanically crushing rapeseeds at a low temperature, followed by filtering and bottling the oil. This work investigates the chemical composition of cold pressed rapeseed oil, along with its antioxidant capacity and stability under heat stress. Cold pressed rapeseed oil is also compared to market competitors; refined rapeseed oil and extra virgin olive oil.
Preferential influence of wheat varieties (Triticum aestivum L.) on population build-up of aphid (Homoptera: Aphididae) and its natural enemies

Six wheat varieties were screened under Bahawalpur conditions for infestation of aphid species complex during 2014-15. Infestation of aphid population and their natural enemies were recorded during February-April 2015. Lowest population of aphid (0.13 aphids/tiller) was recorded on 6309-2013 during 3rd week of April whereas highest population (39.97 aphids/tiller) was harbored on Shafaq-2006 at1st week of March. A close association between the population of natural enemies and aphid was recorded. Natural enemies (ladybird beetle and syrphid fly) showed negative but non-significant correlation (0.0078, -0.0081) respectively. No population of lacewing was observed throughout the experiment.
Deblurring of noisy iris images in iris recognition

Iris recognition used the iris features to verify and identify the identity of human. The iris has many advantages such as stability over time, easy to use and high recognition accuracy. However, the poor quality of iris images can degrade the recognition accuracy of iris recognition system. The recognition accuracy of this system is depended on the iris pattern quality captured during the iris acquisition. The iris pattern quality can degrade due to the blurry image. Blurry image happened due to the movement during image acquisition and poor camera resolution. Due to that, a deblurring method based on the Wiener filter was proposed to improve the quality of iris pattern. This work is significant since the proposed method can enhance the quality of iris pattern in the blurry image. Based to the results, the proposed method improved the quality of iris pattern in the blurry image. Moreover, it recorded the fastest execution time to improve the quality of iris pattern compared to the other methods.
Genetic knockdown and knockout approaches in Hydra

Hydra is a member of the Cnidaria, an ancient phylum at the base of metazoan evolution and sister group to all bilaterian animals. The regeneration capacity of Hydra, mediated by its stem cell systems is unparalleled in the animal kingdom. The recent sequencing of the Hydra genome and that of other cnidarians has drawn new attention to this well-known model organism. In spite of this, the establishment of methods to manipulate gene expression in Hydra have remained a major challenge. Here we report a CRISPR-Cas9 based targeted mutation approach as well as an optimized, reproducible strategy for the delivery of siRNAs. Both approaches are based on a refined electroporation protocol for adult Hydra polyps. We demonstrate that these strategies provide reliable genetic interference with target gene expression, facilitating functional studies and genome editing in Hydra.
Object Segmentation In Electrical Impedance Tomography For Tactile Sensing

Over the last decade, robotics has experienced a rapid increase in research related to human-robot interaction. Developments in artificial skin research can equip robots with tactile sensing in a similar manner to the human sense of touch. This capability will make human-robot communication more natural and safer since an important part of perception indeed relies on tactile sensing. Electrical impedance tomography (EIT)-based sensors are considered as a potentially promising alternative for tactile sensing. These sensors can reconstruct images of the conductivity variation, which appear as a response to the applied pressure. However, due to the ill-posedness of the EIT inverse problem, reconstructed images have low spatial resolution and object boundaries are not preserved. In this research, we explore the hypothesis that performing image segmentation in conjunction with preserving the object boundaries may increase the accuracy of a subsequent classification of the reconstructed images. We compare the quality of EIT images segmented by a splitting and merging segmentation algorithm, Morphological Active Contours without Edges, Random Walker and transfer learning. While the explored classical techniques appear to have predilection towards over-segmentation, the deep learning approach results to a remarkable improvement of approximately 118% in terms of the similarity index.
A case report of a drug‐induced liver injury (DILI) caused by multiple antidepressants with causality established by the updated Roussel Uclaf causality assessment method (RUCAM) and in vitro testing

A 56‐year‐old female patient was hospitalized because of a lack of response and poor tolerance to multiple antidepressants, which included an episode of DILI. During hospitalization, the patient suffered another episode of DILI. Causality was assessed both by RUCAM and Lymphocyte Transformation Test, allowing to identify a safer medication.
Reconfigurable and Computationally Efficient Architecture for Multi-Armed Bandit Algorithms

Multi-armed bandit (MAB) algorithms are designed to identify the best arm among several arms in an unknown environment. They guarantee optimal balance between exploration (select all arms sufficient number of times) and exploitation (select best arm as many times as possible). They are widely used in applications such as website advertisement, robotics, healthcare, finance, and wireless radios. Robotics and radio applications need integration of MAB algorithms with the PHY on the hardware to meet the stringent area, power and latency constraints. Moreover, a single MAB algorithm may not be suitable for various scenarios and hence, the application needs to switch between MAB algorithms on-the-fly. In this paper, we efficiently map the MAB algorithms on Zynq System on Chip (ZSoC) and make it reconfigurable such that the number of arms, as well as type of algorithm, can be changed on-the-fly. We validate the functional correctness and usefulness of the proposed architectures via realistic wireless application and detailed complexity analysis demonstrates the feasibility of the proposed solution in realizing intelligent radios/robots.
You Only Need The Image: Unsupervised Few-Shot Semantic Segmentation With Co-Guidance Network

Few-shot semantic segmentation has recently attracted attention for its ability to segment unseen-class images with only a few annotated support samples. Yet existing methods not only need to be trained with a large scale of pixel-level annotations on certain seen classes, but also require a few annotated support image-mask pairs for the guidance of segmentation on each unseen class. In this paper, we propose the Co-guidance Network (CGNet) for unsupervised few-shot segmentation, which eliminates requirements of annotation on both seen and unseen classes. Specifically, CGNet segments unseen-class images with only unlabeled support images by the newly designed co-guidance mechanism. Moreover, CGNet is trained on seen classes by a novel co-existence recognition loss, which further removes the need of pixel-level annotations. Extensive experiments on the PASCAL $-5^{i}$ dataset show that the unsupervised CGNet performs comparably with the state-of-the-art fully-supervised few-shot methods, while largely alleviating annotation requirement.
Milk mid-infrared spectra based biomarkers contributing to genetic improvement for udder health, fertility and longevity

Recent research showed the usefulness of using estimated breeding values (EBV) for mid-infrared (MIR) based biomarkers in genetic improvement. Similarly, research has also shown that genetic variation is contained in the absorbance traits along the MIR band of wavelengths. Targeted extraction of the useful genetic variance can be achieved by the combination of EBV. Direct estimation of EBV for absorbance traits was demonstrated. Our first objective was to show that the reduction of the rank of the (co)variance structure among spectral traits is possible by imposing linear functions, even if these functions represent lower accuracy MIR biomarkers. MIR based biomarkers traits were derived from ongoing research in the FP7 GplusE project. In this study, the pathway from MIR spectra to the use in genetic improvement will be described. First, blood reference phenotypic data was collected on Holstein cows, at early lactation for IGF-1, glucose, urea, cholesterol, fructosamine, beta-hydroxybutyric (BHB) acid and non-esterified fatty acids (NEFA). These traits were calibrated against corresponding MIR spectral data. Calibration R cv2 ranged from 0.21 to 0.51, very low from a chemometrical point of view, but potentially sufficient to extract useful spectral variation. This was validated, using EBV that were based on these MIR predictions for 144,623 records (closest to days in milk 25), from 73,378 cows, in the Walloon region of Belgium. Single-trait, but multi-lactation (1, 2, 3+) models yielded h2 estimates ranging from 0.07 to 0.27. At least 20 daughters with novel traits and official EBV for udder health, fertility and longevity, with minimum reliabilities of 70% were required; a total of 124 bulls met this criteria. Standard selection index theory would usually rely on prediction error variance minimisation and estimated population (co)variances. Alternatively in this study, Partial Least Squares were applied to EBV for the milk MIR based biomarkers to develop novel genetic predictors for udder health, fertility and longevity, by extracting genetic variation along the wave band after rank reduction. Using all bulls, correlations between best predictors and EBV for udder health, fertility and longevity were at least 0.63, 0.67 and 0.62. Using selection index theory and based on significant increases of prediction abilities of longevity (0.76 compared to 0.68 from udder health or fertility alone) using milk MIR based blood biomarkers, their potential contribution to genetic improvement of udder health, fertility and longevity will be demonstrated.
Solution proposal to the unit commitment problem incorporating manifold uncertainties

The widespread uncertainties have made the interaction of renewable energy sources and power grid more complicated and difficult to handle. This study proposes a solution proposal to the unit commitment problem incorporating multiple uncertainties, consisting of probability, possibility, and interval measures. To handle the manifold uncertainties in a focused and efficient manner, the evidence theory (ET) is applied to fuse these uncertain variables into Dempster–Shafer (DS) structure. Furthermore, the uncertainty of power loss is considered and modelled by applying the ET and the extended affine arithmetic framework. Regarding the highly non-linear mix-discrete constrained multivariable characteristic of the established optimisation model, an enhanced binary grey wolf optimiser algorithm is introduced, in which some key issues such as how to compare the objective function values with DS structure, how to deal with the inequality constraints with DS structure, and how to repair the constraints during the solution process are elaborately discussed. Finally, the IEEE 30-bus test system and a real-sized 183-bus China power system are studied to demonstrate the validity and scalability of the proposed model and method.
Māori experiences of bariatric surgery in South Auckland, New Zealand

Access to publicly funded bariatric surgery in New Zealand is limited, but privileges patients who identify as New Zealand European or Other European. This example of institutional racism in the New Zealand health system further reiterates that Māori face inequitable access to gold standard medical interventions. This article analyses semi-structured interviews undertaken with Māori who had bariatric surgery at Counties Manukau Health which houses the largest public bariatric service. Thirty-one interviews were conducted, from which six themes were identified in relation to the stages of the bariatric journey. A thematic analysis of transcripts using an inductive approach was undertaken. Using Kaupapa Māori Research–aligned methodology, sites of racism, compassion, clinical barriers to positive health experiences and life-changing experiences were identified along the bariatric journey for Māori patients.
Cell-based quantification of biomarkers from an ultra-fast microfluidic immunofluorescent staining: application to human breast cancer cell lines

Immunohistochemistry (IHC) is one of the main techniques currently used in the clinics for biomarker characterization. It consists in colorimetric labeling with specific antibodies followed by microscopy analysis. The results are then used for diagnosis and therapeutic targeting. Well-known drawbacks of such protocols are their limited accuracy and precision, which prevent the clinicians from having quantitative and robust IHC results. With our work, we combined rapid microfluidic immunofluorescent staining with efficient image-based cell segmentation and signal quantification to increase the robustness of both experimental and analytical protocols. The experimental protocol is very simple and based on fast-fluidic-exchange in a microfluidic chamber created on top of the formalin-fixed-paraffin-embedded (FFPE) slide by clamping it a silicon chip with a polydimethyl siloxane (PDMS) sealing ring. The image-processing protocol is based on enhancement and subsequent thresholding of the local contrast of the obtained fluorescence image. As a case study, given that the human epidermal growth factor receptor 2 (HER2) protein is often used as a biomarker for breast cancer, we applied our method to HER2+ and HER2− cell lines. We report very fast (5 minutes) immunofluorescence staining of both HER2 and cytokeratin (a marker used to define the tumor region) on FFPE slides. The image-processing program can segment cells correctly and give a cell-based quantitative immunofluorescent signal. With this method, we found a reproducible well-defined separation for the HER2-to-cytokeratin ratio for positive and negative control samples.