Miracle-dz/UniFAR-FTUs huggingface dataset:
Perspectives of Immigrants and Native Dutch on Antibiotic Use: A Qualitative Study

Immigrants constitute large proportions of the population in many high-income countries. Knowledge about their perceptions of antibiotics, in comparison to native populations, is limited. We explored these perceptions by organizing nine homogeneous focus group discussions (FGDs) with first-generation immigrant and native Dutch participants (N = 64) from Rotterdam and Utrecht, who were recruited with the assistance of immigrant (community support) organizations. The FGDs were audio-recorded and transcribed verbatim. Inductive thematic analyses were performed with the qualitative analysis software Atlas.ti, using open and axial coding. We did not find noteworthy differences between immigrants and native Dutch participants; all participants had an overall reluctant attitude towards antibiotics. Within-group differences were larger than between-group differences. In each FGD there were, for instance, participants who adopted an assertive stance in order to receive antibiotics, who had low antibiotic-related knowledge, or who used antibiotics incorrectly. Native Dutch participants expressed similar difficulties as immigrant participants in the communication with their GP, which mainly related to time constraints. Immigrants who encountered language barriers experienced even greater communicational difficulties and reported that they often feel embarrassed and refrain from asking questions. To stimulate more prudent use of antibiotics, more attention is needed for supportive multilingual patient materials. In addition, GPs need to adjust their information, guidance, and communication for the individual’s needs, regardless of the patient’s migration background.
A Demultiplexing Filter With Box-Like Response and Large FSR Based on LNOI Second-Order Micro-Ring Resonators

We propose and experimentally demonstrate a high-performance micro-ring resonator (MRR) with a large free-spectral range (FSR) on the lithium niobate-on-insulator (LNOI) platform. Mode crosstalk happens in LNOI waveguide bends because more than one mode is generated from the anisotropy of lithium niobate, which limits the minimum bending radius of MRRs. Mode properties of ridge waveguides on X-cut LNOI with different bend radii and wavelengths have been analyzed to remove the effect of mode hybridization and reduce the mode crosstalk. On this basis, a small radius MRR with large FSR and 3dB bandwidth is achieved. Further, to deal with the wavelength shift caused by fabrication error, a second-order micro-ring resonators (2nd-order MRRs) filter with a box-like response and a high out-of-band rejection ratio is realized. Besides, a multichannel demultiplexing filter is realized based on 2nd-order MRRs with low crosstalk (<−13 dB) at a channel spacing of 1.16 nm. The demonstration of the demultiplexing filter with a box-like response paves an important step for high-density photonic integration on the LNOI platform.
Intestinal Epithelial Toll-like Receptor 4 Deficiency Modifies the Response to the Activity-Based Anorexia Model in a Sex-Dependent Manner: A Preliminary Study

The role of microbiota in eating disorders has recently emerged. Previous data reported that lipopolysaccharides induce anorexia and a decrease of body weight through the activation of toll-like receptor 4 (TLR4). In the activity-based anorexia (ABA) mouse model, an increase of TLR4 expression in intestinal epithelial cells (IEC) has been described. We thus aimed to characterize the role of TLR4 in IEC in the ABA model in male and female mice. For this purpose, Vill-CreERT2-TLR4 LoxP, which are depleted for TLR4 in IEC in response to 4-OH tamoxifen, were submitted (ABA) or not (CT) to the ABA procedure that combined free access to a running wheel and progressive time-limited access to food. We thus compared CT and ABA TLR4IEC−/− mice to CT and ABA TLR4IEC+/+ mice. In response to the ABA model, TLR4IEC+/+ male and female mice exhibited a body weight loss associated to a decrease of lean mass. In TLR4IEC−/− male mice, body weight loss was delayed and less pronounced compared to TLR4IEC+/+ male mice. We did not observe a difference of body weight loss in female mice. The body composition remained unchanged between TLR4IEC−/− and TLR4IEC+/+ mice in both sexes. In both sexes, ABA TLR4IEC+/+ mice exhibited an increase of food-anticipatory activity, as well as an increase of immobility time during the open field test. However, female TLR4IEC−/− mice showed a decrease of the time spent at the centre and an increase of the time spent at the periphery of the open field area, whereas we did not observe differences in the male mice. In conclusion, the invalidation of TLR4 in IEC modified the response to the ABA model in a sex-dependent manner. Further studies should decipher the underlying mechanisms.
EFFICACY OF MURINE PLATELET RICH-PLASMA VERSUS SPIRAMYCIN IN TREATMENT OF CHRONIC TOXOPLASMOSIS INFECTED MICE

Apicomplexan parasite, Toxoplasma gondii , is an obligate intracellular parasite, infecting and replicating within nucleated cells in many homoeothermic organisms, mammals and birds with the possibility of causing serious health problems. Recent studies indicated several side effects to the current drugs like Pyrimethamine ® & Sulfadiazine ® . This work evaluated murine platelet rich plasma (PRP) efficacy versus Spiramycin ® treating toxoplasmosis infected mice parasitological, biochemical and histopathological studies. Fifty five immunocompetent male mice were divided into 5 groups of 11 mice each. G1: non-infected control, G2: infected non-treated control, G3: infected and treated with spiramycin, G4: infected and treated with murine PRP, and G5: infected and treated with combined spiramycin and PRP. Spiramycin and PRP treated mice gave the highest reduction in Toxoplasma tissue cysts number, lowest level of serum malondialdehyde (MDA) and marked pathological improvement.
OsRAD51 Plays a Vital Role in Promoting Homologous Recombination in Rice Meiosis

Meiotic recombination plays a pivotal role in achieving accurate chromosomal segregation and increasing genetic diversity. In the homologous recombination pathway, the detailed mechanisms of how OsRAD51 and OsDMC1 work in rice meiosis remain to be explored. Here, we obtained different types of mutants for Osrad51a1, Osrad51a2, Osdmc1a, and Osdmc1b through CRISPR/Cas9. Both Osrad51a1 and Osrad51a2 exhibited normal vegetative growth and fertility. Osrad51 (Osrad51a1 Osrad51a2) mutant plants show normal vegetative growth but exhibit complete sterility, indicating that OsRAD51A1 and OsRAD51A2 are functionally redundant in rice fertility. In contrast to the wild type, Osrad51 chromosomes are not paired perfectly at pachytene and synaptonemal complex (SC) formation is deficient. Moreover, univalents and multivalent associations were observed at metaphase I, chromosome fragments presented at anaphase I, and crossover formation is basically suppressed in Osrad51 pollen mother cells (PMCs). OsRAD51 foci emerge at leptotene and disappear from late pachytene and chromosome localization of OsRAD51 depends on the formation of double-strand breaks (DSBs). Most OsRAD51 foci can co-localize with OsDMC1 signals. OsRAD51 is essential for the loading of OsDMC1 onto chromosomes, and vice versa. In addition, both OsRAD51 and OsDMC1 can interact with OsFIGL1 and OsBRCA2, two important components in rice meiosis. Moreover, the Osrad51 Osdmc1 (Osrad51a1 Osrad51a2 Osdmc1a Osdmc1b) quadruple mutant PMCs exhibited similar defective phenotypes as Osrad51 in homologous pairing, synapsis, and DSB repair. Taken together, our results suggest that the recombinases DMC1 and RAD51 may functionally depend on each other and play important roles in meiotic recombination during meiosis in rice.
Two-dimensional subsonic compressible flow past elliptic cylinders

The method of Poggi is used to calculate, for perfect fluids, the effect of compressibility upon the flow on the surface of an elliptic cylinder at zero angle of attack and with no circulation. The result is expressed in a closed form and represents a rigorous determination of the velocity of the fluid at the surface of the obstacle insofar as the second approximation is concerned. Comparison is made with Hooker's treatment of the same problem according to the method of Janzen and Rayleight and it is found that, for thick elliptic cylinders, the two methods agree very well. The labor of computation is considerably reduced by the present solution.
Analysis of Teaching Effect of Korean Education Course Based on Data Acquisition Technology

Teaching evaluation is a comprehensive judgment of teachers' teaching effect and students' learning outcomes. It is an essential basis for comprehensive curriculum reform. There are many teaching evaluation systems for Korean majors, generally based on teachers' behavior discrimination and ignoring students' learning process and effect. The existing teaching evaluation system has problems such as heavy workload, slow calculation speed, and intense subjectivity. Based on the characteristics of Korean courses, this study constructs a teaching rating system for Korean courses in universities centered on language learning through data collection, correlation analysis, association rules, and other methods to optimize the student teaching evaluation index. At the same time, the machine learning algorithm is introduced into the teaching evaluation process to construct the teaching evaluation model and realize the automation of the teaching evaluation process. The weighted Bayesian incremental learning method is used to solve the cumulative problem of data acquisition samples. The experimental results show that the accuracy rate of classification using the weighted naive Bayesian algorithm to construct the model can reach 75%. Obviously, due to the traditional Bayesian algorithm and BP neural network algorithm, it is suitable for the teaching evaluation model of Korean majors. It provides a theoretical basis for the development of language education informatization.
Values, Contexts, and Realities: Senior Student Affairs Officers’ Decision-Making During the COVID-19 Pandemic

Senior Student Affairs Officers (SSAOs), whose primary responsibility is the health, safety, and well-being of students, were at the forefront of leading their campuses through the COVID-19 crisis. In Fall 2020 a diverse group of 23 SSAOs was interviewed to understand the contexts and issues that influenced decision-making during the pandemic. A focus on students, alignment with institutional contexts, and financial realities were consistently identified as key influencers of decision-making. Effective decision-making often entails a balancing act of several factors. The implications of this study can be used to inform student affairs practice and the professional development of graduate students and future and current SSAOs.
The Potential Protective Effects of Aqueous Extracts of Some Herbs on Renal Toxicity Induced by Formaldehyde in Experimental Rats

he current study was performed to evaluate the protective effect of aqueous extracts of Corn silk and Asparagus Officinalis against renal toxicity induced by formaldehyde in rats. Thirty-six male albino rats with "Sprague Dawley" strain weighing (150±10 g) were used and split into 2 major groups, the first group (6 rats) fed on a basal diet and kept as a negative control, and the second group of 30 rats was injected with formaldehyde intraperitoneally (10 mg/kg BW /day on 14 th to 28 th day and divided into 5 subgroups. The first subgroup received a normal diet and acted as a positive control group. The second, third, fourth, and fifth categories consumed standard feed with oral dosages of 200 and 400 mg/Kg body weight per day of aqueous corn silk and asparagus aqueous extract respectively during a 28-day period. Body weight gain (BWG), Feed intake (FI), feed efficiency ratio (FER), and relative kidney weight were computed at the finish of the experiment. Assessment of some serum biochemical parameters, kidney tissues were analyzed for antioxidant/oxidant markers, and histopathology of kidneys were assessed. The results revealed that corn silk and Asparagus aqueous extracts improved the biological evaluation, kidney functions, liver functions, Serum electrolytes, antioxidant enzymes activity, and histopathology of kidneys compared to the positive group. In conclusion, the administration of corn silk and Asparagus aqueous extracts can lower the impacts of formaldehyde on kidneys.
SM3B NICMOS Focus Check

We report determinations of the NICMOS foci following cool down of the NICMOS detectors after installation and activation of the NICMOS Cooling System (NCS). A focus sweep in all three cameras executed on May 3, 2002 (program ID: 8977). Visual inspection of the data indicated that a small amount of coma had been introduced since January 1999. Phase retrieval (STScI) and encircled energy (University of Arizona) measurements were used to determine the best focus positions. The results of the two methods compared quite favorably with each other. Adjustments to the current Pupil Alignment Mechanism (PAM) positions were implemented on May 9, 2002 for Camera 1 & 2 (PAM1 & PAM2). No focus adjustments were implemented for Camera 3 (PAM3) or for the Camera 2 coronagraphic focus (PAMC). Adjustment of the intermediate focus position between Camera 1 & 2 (PAMI) will be managed starting during week 2002.133 by SMS.
Multi-Dimensional Attention Based Spatial-Temporal Networks for Traffic Forecasting

Traffic flow prediction is the key problem of intelligent transportation system. Accurate prediction results are indispensable for traffic management and road planning. However, due to the complex spatial-temporal correlation of traffic flow data, including the spatial correlation and temporal correlation of adjacency, periodicity, and trend that exist between different roads. The existing forecasting methods consider the spatial-temporal correlation but lack the dynamic modeling of spatial-temporal correlation. To deal with this dynamic feature, this paper proposes a multi-dimensional attention-based spatial-temporal network (MA-STN). It mainly contains three parts, the spatial-temporal attention unit, the spatial-temporal feature extraction unit based on Graph Convolutional Network (GCN) and the fusion prediction unit, and the residual connection is also added to the model to avoid the gradient disappearance problem. Meanwhile, this paper divides the dataset into three subsets to deal with the three features in the temporal dimension separately. To verify the effectiveness of the proposed model, two real-world road traffic flow data collected by PeMS system are used for validation. By comparing six different models, the proposed network in this paper has a 7% accuracy improvement compared to the baseline model. To verify the effectiveness of the attention mechanism, ablation experiments are used in this paper for validation, and the results show that the attention mechanism can achieve a 5% accuracy improvement.
Different N-Glycosylation Sites Reduce the Activity of Recombinant DSPAα2

Bat plasminogen activators α2 (DSPAα2) has extremely high medicinal value as a powerful natural thrombolytic protein. However, wild-type DSPAα2 has two N-glycosylation sites (N185 and N398) and its non-human classes of high-mannose-type N-glycans may cause immune responses in vivo. By mutating the N-glycosylation sites, we aimed to study the effect of its N-glycan chain on plasminogen activation, fibrin sensitivity, and to observe the physicochemical properties of DSPAα2. A logical structure design was performed in this study. Four single mutants and one double mutant were constructed and expressed in Pichia pastoris. When the N398 site was eliminated, the plasminogen activator in the mutants had their activities reduced to ~40%. When the N185 site was inactivated, there was a weak decrease in the plasminogen activation of its mutant, while the fibrin sensitivity significantly decreased by ~10-fold. Neither N-glycosylation nor deglycosylation mutations changed the pH resistance or heat resistance of DSPAα2. This study confirms that N-glycosylation affects the biochemical function of DSPAα2, which provides a reference for subsequent applications of DSPAα2.
The Transfer of Entanglement: The Case for Firewalls

Black hole complementarity requires that the interior of a black hole be represented by the same degrees of freedom that describe its exterior. Entanglement plays a crucial role in the reconstruction of the interior degrees of freedom. This connection is manifest in 'two-sided' eternal black holes. But for real black holes which are formed from collapse there are no second sides. The sense in which horizon entropy is entanglement entropy is much more subtle for one-sided black holes. It involves entanglement between different parts of the near-horizon system. As a one-sided black hole evaporates the entanglement that accounts for its interior degrees of freedom disappears, and is gradually replaced by entanglement with the outgoing Hawking radiation. A principle of 'transfer of entanglement' can be formulated. According to the argument of Almheiri, Marolf, Polchinski and Sully, it is when the transfer of entanglement is completed at the Page time, that a firewall replaces the horizon. Alternatives to firewalls may suffer contradictions which are similar to those of time travel. The firewall hypothesis would be similar to Hawking's chronology protection conjecture.
Use of Data Augmentation Techniques in Detection of Antisocial Behavior Using Deep Learning Methods

The work presented in this paper focuses on the use of data augmentation techniques applied in the domain of the detection of antisocial behavior. Data augmentation is a frequently used approach to overcome issues related to the lack of data or problems related to imbalanced classes. Such techniques are used to generate artificial data samples used to improve the volume of the training set or to balance the target distribution. In the antisocial behavior detection domain, we frequently face both issues, the lack of quality labeled data as well as class imbalance. As the majority of the data in this domain is textual, we must consider augmentation methods suitable for NLP tasks. Easy data augmentation (EDA) represents a group of such methods utilizing simple text transformations to create the new, artificial samples. Our main motivation is to explore EDA techniques’ usability on the selected tasks from the antisocial behavior detection domain. We focus on the class imbalance problem and apply EDA techniques to two problems: fake news and toxic comments classification. In both cases, we train the convolutional neural networks classifier and compare its performance on the original and EDA-extended datasets. EDA techniques prove to be very task-dependent, with certain limitations resulting from the data they are applied on. The model’s performance on the extended toxic comments dataset did improve only marginally, gaining only 0.01 improvement in the F1 metric when applying only a subset of EDA methods. EDA techniques in this case were not suitable enough to handle texts written in more informal language. On the other hand, on the fake news dataset, the performance was improved more significantly, boosting the F1 score by 0.1. Improvement was most significant in the prediction of the minor class, where F1 improved from 0.67 to 0.86.
PLE: Power Line Extraction Algorithm for UAV-Based Power Inspection

Power line detection plays an important role in automatic power inspection systems based on the vision sensor and unmanned aerial vehicle (UAV). The positioning of the power line is essential to assist in planning and navigation along the power line during the UAV-based power inspection process. For the along-line inspection problem of UAV power inspection, we developed a power line extraction (PLE) algorithm based on parallel line detection and straight line stretching. The proposed algorithm first extracts the image edges by the Canny algorithm and then constructs criterion functions for PLE based on power line feature information, e.g., length, width, and direction. Finally, the information on power line location, direction, width, and so on will be combined to get the exact power line regions. In order to effectively evaluate the accuracy and efficiency of the PLE algorithm, we constructed a power line dataset for UAV inspection and proposed a PLE effect evaluation method. The experimental results demonstrate that the proposed method can effectively reduce the influence of ground environment and other interference factors. Compared with other methods, the proposed algorithm is significantly better than the comparison methods in detecting power lines for the constructed dataset. Moreover, it is still a higher detection accuracy than the comparison methods when the power line is far away from UAV.
Whole-Exome Sequencing Identifies Pathogenic Germline Variants in Patients with Lynch-Like Syndrome

Simple Summary A significant proportion of families with a clinical suggestion of Lynch syndrome and screened for the known MMR genes remain without a molecular diagnosis. These patients, who generally show a suggestive family pedigree or early-onset tumors with MMR deficiency and no detectable germline variants, are referred to as having Lynch-like syndrome. To investigate underlying and potentially predisposing variants related to Lynch-like syndrome, we performed whole-exome sequencing in patients with clinical criteria for Lynch syndrome, MMR deficiency and without germline variants. This approach allowed for the identification of new variants potentially associated with Lynch-like syndrome, providing new clues to explain the familial predisposition to Lynch syndrome-related tumors in these patients, which could lead to new screening strategies for the identification of families at risk of developing cancer. Abstract Lynch syndrome (LS) is the most common hereditary colorectal cancer (CRC) syndrome, characterized by germline pathogenic variants in mismatch repair (MMR)-related genes that lead to microsatellite instability. Patients who meet the clinical criteria for LS and MMR deficiency and without any identified germline pathogenic variants are frequently considered to have Lynch-like syndrome (LLS). These patients have a higher risk of CRC and extracolonic tumors, and little is known about their underlying genetic causes. We investigated the germline spectrum of LLS patients through whole-exome sequencing (WES). A total of 20 unrelated patients with MMR deficiency who met the clinical criteria for LS and had no germline variant were subjected to germline WES. Variant classification was performed according to the American College of Medical Genetics and Genomics (ACMG) criteria. Pathogenic/likely pathogenic variants were identified in 35% of patients in known cancer genes such as MUTYH and ATM. Besides this, rare and potentially pathogenic variants were identified in the DNA repair gene POLN and other cancer-related genes such as PPARG, CTC1, DCC and ALPK1. Our study demonstrates the germline mutational status of LLS patients, a population at high risk of colorectal cancer.