Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding Nonnative University EFL Teachers’ Professional Anxiety and Their Emotion Regulation Strategies

Based on an in-depth semi-structured interview method, this study explored sources of nonnative university English as a Foreign Language (EFL) teachers’ professional anxiety and relevant emotion regulation strategies in a Chinese context. Participants mostly suffered from academic promotion anxiety, followed by research anxiety, teaching anxiety, and anxiety about English language proficiency and knowledge. To overcome this negative emotion, participants adopted two families of emotion modifications: response-focused regulation strategies including coping, expressive suppression, and communication, as well as antecedent-focused regulation strategies comprising cognitive reappraisal and distraction, with the former outweighing the latter. Findings revealed the complexity of nonnative university EFL teachers’ professional anxiety and cultural differences in emotion regulation strategies.
Increased pretreatment C-reactive protein-to-albumin ratio predicts severe coronavirus disease 2019

Objective The aim of this study was to identify early warning signs for severe coronavirus disease 2019 (COVID-19). Methods We retrospectively analysed the clinical data of 90 patients with COVID-19 from Guanggu District of Hubei Women and Children Medical and Healthcare Center, comprising 60 mild cases and 30 severe cases. The demographic data, underlying diseases, clinical manifestations and laboratory blood test results were compared between the two groups. The cutoff values were determined by receiver operating characteristic curve analysis. Logistic regression analysis was performed to identify the independent risk factors for severe COVID-19. Results The patients with mild and severe COVID-19 had significant differences in terms of cancer incidence, age, pretreatment neutrophil-to-lymphocyte ratio (NLR), and pretreatment C-reactive protein-to-albumin ratio (CAR) ( P =0.000; P =0.008; P=0.000; P =0.000). The severity of COVID-19 was positively correlated with comorbid cancer, age, NLR, and CAR ( P <0.005). Multivariate logistic regression analysis showed that age, the NLR and the CAR were independent risk factors for severe COVID-19 (OR=1.086, P =0.008; OR=1.512, P =0.007; OR=17.652, P =0.001). Conclusion An increased CAR can serve as an early warning sign of severe COVID-19 in conjunction with the NLR and age.
Deep Learning for Real-time R-peak Prediction

—In this work, we propose a novel algorithm to achieve real-time R-peak prediction during ECG signal recording. More speciﬁcally, from the current frame of ECG signal, we aim to predict how far into the future the next R-peak will occur, taking into account information about the variability in the intervals between beats seen in previous frames of the ECG signal. Currently there has been little work in this area. However, the real-time prediction of the next beat has important research signiﬁcance, including timing of artiﬁcial heart pumps and integration into the cardiopulmonary support heart (CPS-heart), as well as narrowing the search range of R-peaks to assist R-peak detection. This paper proposes use of an integrated network using one-dimensional convolution network (1D CNN) with long short-term memory (LSTM) network. The deep learning model we have proposed is shown to effectively predict R-peaks with results of preliminary studies achieving a prediction accuracy of 90.61 % .
Authors’ response to comments from the editor and referees, and authors’ changes in manuscript

We study the interaction of small-scale internal wave packets with a large-scale internal solitary wave using highresolution direct numerical simulations in two dimensions. A key finding is that for wave packets whose constituent waves are short in comparison to the solitary wave width, the interaction leads to an almost complete destruction of the short waves. For mode-1 short waves in the packet, as the wavelength increases, a cutoff is reached, and for larger wavelengths the waves in the packet are able to maintain their structure after the interaction. This cutoff corresponds to the wavelength at which the phase 5 speed of the short waves upstream of the solitary wave exceeds the maximum current induced by the solitary wave. For mode-2 waves in the packet, however, no corresponding cutoff is found. Analysis based on linear theory suggests that the destruction of short waves occurs primarily due to the velocity shear induced by the solitary wave, which alters the vertical structure of the waves so that significant wave activity is found only above (below) the deformed pycnocline for overtaking (head-on) collisions. The deformation of vertical structure is more significant for waves with a smaller wavelength. Consequently, it is 10 more difficult for these waves to adjust to the new, solitary wave induced background environment. These results suggest that through the interaction with relatively smaller length scale waves, internal solitary waves can provide a means to decrease the power observed in the short wave band in the coastal ocean.
A combinatorial approach to nucleic acid quality control for efficient workflow standardization and reliable data generation

: Nucleic acid quality is a critical factor determining the outcome of all molecular workflows. Rigorous quality control (QC) of key steps in the workflow can minimize the risk of failure and maximize the reproducibility and reliability of results. Here, we illustrate how two complementary technologies, UV/Vis spectrophotometry and capillary electrophoresis, can provide both qualitative and quantitative measurement of nucleic acids from diverse sample types used in a multitude of downstream applications. Our data suggest that such a combinatorial approach when implemented along workflows, can conveniently cover most critical sample QC requirements, a prerequisite for delivering success and confidence in data interpretation.
The Relationship Between Self-Esteem and Family Social Interaction with Mentally Ill Patients in Medan Sunggal, Medan

Family member with mental illness causes inferiority, shamefulness, and minimal function in the community. In some cases, mentally ill patients withdrawn from interaction and refuse to communicate. The objective of the research was to analyze the correlation between self-esteem and social interaction in the family with mentally ill patients in Kelurahan Medan Sunggal, Medan. This was a descriptive quantitative study with correlation method. The samples were 18 family members who suffered from a mental disorder, with purposive sampling technique. The data collection using questionnaires and data analyses is undergone with univariate analysis and frequency distribution. The bivariate analysis applied Spearman's Rho test. The result of the research showed that 15 respondents (83.3%) had high self-esteem and 11 respondents (61.1%) had a good social interaction. There was a significant correlation between self-esteem and social interaction in a family with a mentally ill patient (P-value = 0.012) with positive direction (r = 0.576). It is concluded that a high self-esteem correlates well with the social interaction among the family members with mental illness. It is recommended for family members to maintain their self-esteem and social interaction capacity. A mentally disorder person should get social support from family, health care providers, the government, and society.
S0021859621000198jra 1..9

The production of specialty coffee has several factors and parameters that are added up in the course of production, so that the quality is expressed in the act of consumption. Based on this scenario, this study included the analysis of ten genotypes of arabica coffee, the materials being subjected to irrigated and rainfed water regimes, in a low altitude region, to identify responses for sensory and physical–chemical quality. The genotypes were evaluated in a split-plot scheme with a randomized block design, with three replications. Arabica coffee fruits were harvested with 80% cherry seeds and processed by the wet method. Subsequently, the characteristics related to physical–chemical and sensory analyses were evaluated. The genotypes of the Paraíso group showed great variability for the physical–chemical and sensory variables for rainfed and irrigated regimes. The genotypes of the Catuaí group, however, showed less variability for sensory characteristics in both cultivation environments and for physical–chemical characteristics in the irrigated regime. In the sensorial data set, the genotypes Catuaí 144 CCF and Catuaí 144 SFC (when irrigated) and Paraíso H 419-33-7-16-2, Paraíso H 419-3-3-7-16-11 and Catucaí 24-137 (rainfed cultivation), are more favourable to the production of specialty coffee at low altitude.
Pre- and Postoperative Parameters on Magnetic Resonance Imaging Predict Continence Recovery after Laparoscopic Radical prostatectomy

Background: To evaluate the association between pre- and postoperative parameters on magnetic resonance imaging (MRI) and continence recovery after laparoscopic radical prostatectomy (LRP). Methods: 73 patients who underwent LRP were retrospectively reviewed. Demographic characteristics, clinicopathologic outcomes and several MRI parameters before and after surgery were evaluated. Continence was defined as no pad per day. Early continence recovery was defined as continence recovery within 3 months. Kaplan-Meier analyses and log-rank test were used to compare time to continence recovery. Cox proportional-hazards regression analyses were performed to identify independent predictors of continence recovery after LRP.Results: Patients with smaller prostatic volume, shorter intravesical prostatic protrusion length (IPPL), longer preoperative membranous urethral length (MUL), lower MUL-removal rate, triangular vesicourethral anastomosis (VUA) and neurovascular bundle sparing experienced a faster continence recovery (All, p < 0.05). Multivariate analyses revealed IPPL (hazard ratio [HR]: 0.94, p = 0.044), preoperative MUL (HR: 1.10, p = 0.032), MUL-removal rate (HR: 0.91, p = 0.007) and shape of VUA (square vs. triangle, HR: 2.30, p = 0.012) were independent predictors of continence recovery after LRP.Conclusion: IPPL, preoperative MUL, MUL-removal rate and shape of VUA were promising parameters on MRI for predicting continence recovery after LRP.
Development and validation of a Nomogram for predicting the Overall Survival of Patients With Pancreatic Ductal Adenocarcinoma of the Head of the Pancreas

Background: The purpose of this study is to develop and validate a nomogram to predict the overall survival (OS) of patients with Pancreatic Ductal Adenocarcinoma of the Head of the Pancreas (PDAC-HP). Methods: Using the Surveillance, Epidemiology, and End Results (SEER) database, we collected patients with PDAC-HP in the United States between 2004 and 2015. Patients were randomly divided into training set and validating set at a ratio of 7:3. The training set is used to develop a nomogram for predicting OS. These indicators such as the C index, the area under curve (AUC) of the receiver operating characteristic (ROC), calibration plots and the net reclassification improvement (NRI) and the integrated discrimination improvement (IDI) were used to evaluate the prediction accuracy of the nomogram.Results: A total of 33,893 patients with PDAC-HP over 20 years old were diagnosed between 2004 and 2015 were collected from the SEER database. Using multivariable Cox regression analysis, we identified eight risk factors that were associated with OS, such as age at diagnosis, sex, marital status at diagnosis, race, AJCC staging, surgery, radiotherapy and chemotherapy. A nomogram was constructed based on these variables. Compared with the AJCC staging system, the nomogram has a better C index and AUC in the training set and validatiing set. The calibration plots indicated that the nomogram was able to accurately predict the OS of patients with PDAC-HP at 1, 3, and 5 years.Conclusions: We developed and validated a nomogram, and predicted the OS of patients with PDAC-HP at 1, 3, and 5 years. Compared with the AJCC staging system, the nomogram we constructed has better performance. It shows that our nomogram could be served as an effective tool for prognostic evaluation of patients with PDAC-HP.
Pomegranate: A promising avenue against the most common chronic diseases and their associated risk factors (Review)

Pomegranate is an important source of several bioactive compounds with beneficial properties. As widely described in the literature, pomegranate can be considered as a functional food able to promote the maintenance of a good health status. The present review article summarizes the prop‐ erties of pomegranate, such as antioxidant, anti‐inflammatory, anti‐aging, prebiotic and anticancer effects, as well as its protective role against metabolic disorders and cardiovascular diseases. Pomegranate and its phytocompounds can prevent the development of several chronic diseases. Additionally, pomegranate can be considered an adjunct for current therapeutic strategies able to improve the standard treatment efficacy and reduce side‐effects. However, further studies are required in order to better clarify the mechanisms of action and the synergistic effects of the phytochemicals contained in pomegranate. According to the current data, pomegranate may be a promising avenue against the most common chronic diseases, including cancer.
United Nations Mission and Conflict Resolution in Sahrawi Arab Democratic Republic, 1991-2019

This research work investigates the United Nations Mission and Conflict Resolution in Sahrawi Arab Democratic Republic 1991-2019. The Western Sahara has been in a state of political crisis since Spain granted the territory to Morocco and Mauritania in 1975. In April 1991, United Nations Mission for the Referendum in Western Sahara (MINURSO) was established by Security Council Resolution 690 of 1991 with Military and civilian observers though without resolution thus the present study. The study adopted historical and descriptive research design. A total of fifteen military personnel who have served or currently serving in MINURSO and two relevant civilians were interviewed via Skype, WhatsApp, Messenger and directly while other information were gathered through journals and published books. The Realist Framework of Pugh in 2004was the theory adopted and seen as relevant for this study. Three research questions and objectives were formulated for the study. The data collected were analysed using contextual and descriptive approach. From the analysis, it was found that the unresolved disagreement over the status of Western Sahara has persisted as a result of several factors including among others: poor performance of UN mission mandate, regional supremacy squabbles between Algeria and Morocco, and finally the combined super powers’ self-interest and struggle for supremacy which is making resolution of the conflict in Western Sahara difficult. Base on the study findings, the study recommends among others that UN should proceed to the transitional and referendum stages of the Settlement Plan. Again, major powers should stop prioritising their own self-interests at the expense of the wellbeing of the generality of the local population affected by the conflict in Western Sahara.
INHERITED PASSIVE MARGIN: INSIGHTS FROM THE

14 Recently, the influence of lithospheric extension on later orogeny has gained increasing interest. 15 We make use of own geological mapping, interpretations of seismic reflection profiles and deep 16 geophysical data to build an area-balanced cross-section across a key area of the Western 17 Southern Alps and to model a series of structural restorations from the end of Mesozoic rifting to 18 present-day. The interpreted ramp-dominated and basement-involved style results during retro19 wedge accretion through reactivation of long-lived inherited structures. Early phases of Alpine 20 orogeny resulted in north-verging reactivation of Early Permian structures and Triassic-Jurassic 21 extensional basins, whereas later phases led to the internal deformation of the orogenic retro22 wedge. Our results also suggest that, during the collisional and post-collisional tectonics, 23 lithosphere dynamics drove diachronically the onset of tectonic phases (i.e., wedging and slab 24 retreat), from east to west, across the Western Southern Alps. 25
The tumor site of origin and its effect on survival in gastrointestinal stromal tumors(GIST)

Background: GIST is a common mesenchymal tumor of the Gastrointestinal Tract. The stomach is the most frequently affected site. In this study, we focus on the relationship between tumor size and survival. Materials and methods: our retrospective study included 47 patients diagnosed with GIST at Sohag University Hospital, Sohag Cancer Center, and Sohag Health Insurance Hospitals during the period between 2012 -2017. The collected data were extracted from patient's files. Missed data in the files were obtained via phone communication with the patients or their relatives. Results: 47 cases with gastrointestinal tumors were selected. All tumors were stained positive for c-kit. 48.9% (23/47) of the tumors were located in the stomach, 40.4% (19/47) in the small intestine, and 10.6% (5/47) in the large intestine. The mean progression-free survival (PFS) was 20.75 months ranging between 7months and 39 months. On analyzing the impact of tumor site on PFS we found that There was a significant relationship between the gastric site of the tumor and improved PFS (logrank P = 0.010). The mean overall survival (OS) was 35.26 months ranging between 1 month and 108 months, on analyzing the impact of tumor site on OS we found no relation. Conclusion: Gastric origin of GIST is associated with more benign behavior and improved PFS in comparison with the intestinal origin.
Let-7i Regulates KGN Proliferation and Estradiol Biosynthesis By Directly Targeting IMP2 in Polycystic Ovary Syndrome

Background: Increased granulosa cell division is associated with abnormal folliculogenesis in polycystic ovary syndrome (PCOS). As the most abundant microRNA molecule in the development of follicles, let-7i was found to be differentially expressed in PCOS patients and controls. This study aimed to investigate the role of let-7i in PCOS and explore its related mechanisms.Methods: The expression of let-7i was measured in GCs from women with PCOS and without PCOS. An immortalized human granulose cell line, KGN, was used for the functional study. Let-7i mimics, let-7i inhibitors, lentiviruses expressing IMP2 and small-interfering RNA were transfected respectively into KGN cells. KGN cell proliferation was determined by an EdU assay kit and cck-8. Cell cycle and apoptosis were determined by PI staining and flow cytometry analysis. Quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting were utilized to evaluate genes expression. Estradiol biosynthesis was determined by ELISA analysis. Bioinformatics analysis and luciferase reporter assay were applied to confirm the target gene of let-7i.Results: let-7i was down-regulated in PCOS GCs. Let-7i mimics (150 nM) inhibited KGN proliferation, arrested cell cycle progression, and decreased aromatase expression and estradiol production, while the let-7i inhibitors (150 nM) had the opposite effect. Bioinformatics analysis and qRT-PCR identified IMP2 was a target of let-7i. QRT-PCR and western blot analysis indicated that IMP2 was up-regulated in PCOS GCs and the expression of IMP2 was suppressed by let-7i in KGN. The further luciferase reporter assay combined with rescue assay validated that let-7i inhibited KGN proliferation and estradiol production by directly targeting IMP2 mRNA.Conclusions: Let-7i was down-regulated in PCOS GCs. Let-7i overexpression inhibited KGN proliferation and decreased estradiol production in an IMP2-dependent manner, providing insights into the pathogenesis of PCOS.
N ov 2 01 3 DRESSING TRANSFORMATIONS OF CONSTRAINED WILLMORE

We use the dressing method to construct transformations of constrained Willmore surfaces in arbitrary codimension. An adaptation of the Terng–Uhlenbeck theory of dressing by simple factors to this context leads us to define Bäcklund transforms of these surfaces for which we prove Bianchi permutability. Specialising to codimension 2, we generalise the Darboux transforms of Willmore surfaces via Riccati equations, due to Burstall–Ferus–Leschke–Pedit–Pinkall, to the constrained Willmore case and show that they amount to our Bäcklund transforms with real spectral parameter.
Augmenting Neural Encoder-Decoder Model for Natural Language Generation Tasks

Neural Encoder-Decoder model has been widely adopted for grounded language generation tasks. Such tasks usually require translation of data from one domain to a different domain, including machine translation (language to language), image captioning (image to language), and text summarization (long article to short summary). In this thesis, we aim to improve Neural Encoder-Decoder model for two different generation tasks: text summarization and image captioning. For summarization, we aim to improve the encoder of a popular pointer-generator model by adding a ‘closed-book’ decoder without attention and pointer mechanism. We argue that such a decoder forces the encoder to be more selective on the information encoded in its memory state since it can’t rely on the extra information provided by the attention and copy modules, and hence improves the entire model. On the CNN/Daily Mail dataset, our model outperforms the baseline signiﬁcantly in terms of ROUGE and METEOR metrics and receives higher saliency scores, for both cross-entropy and reinforced setups. For image captioning, we propose a framework based on Conditional Generative Adversarial Network (CGAN), which jointly trains a a generator that produces captions conditioned on the image, and a discriminator that evaluates the probability of the caption being generated or not. We present a series of experiments to show that our CGAN-based model consistently and signiﬁcantly outperforms strong baseline trained with maximum likelihood, which is not achieved by previous work that adopted a similar approach.
Attention-aware attention (A*) : combining coattention and self-attention for question answering

Attention has been one of the biggest recent breakthrough in NLP, paving the way for the improvement of state-of-art models in many tasks. In question answering, it has been successfully applied under many forms, especially with recurrent models (encoder-decoder fashion). Co-attention [1] and multihead self-attention [2] have been two interesting attention variations, but a larger study trying to combine them has never been conducted to the best of our knowledge. Hence, the purpose of this paper is to experiment different attention-based architecture types for question answering, as variations from one of the first successful recurrent encoder-decoder models for this task: BiDAF [3]. We test the performance of our model on the Stanford Question Answering Dataset 2.0 [4] and achieved a performance of EM = 62.730 and F1 = 66.283 on the dev set, and EM = 60.490 and F1 = 64.081 on the test set.
Rare Earth Elements of Sediments in Rivers and Estuaries of the East Coast of India

The rare earth elements (REE) in the clay fraction of sediments in 15 rivers and their estuaries along the east coast of India were analysed in this study. The total REE content (∑REE) varied from 130.98 to 289.85 μg/g and from 70.89 to 352.61 μg/g in rivers and estuaries respectively. The ∑REEs of estuarine clays (except the Brahmani and Baitarani) was lower than in rivers. The Post-Archean average Australian Shale-normalized REE patterns in rivers and estuaries were similar and categorized into three types. The REE patterns reflect the composition of dominant geological formations in river basins and extent of sediment mixing from different sources during transport. Hydrodynamic conditions controlled the abundance and fractionation of REE in the estuaries. The Sm/Nd ratios of clays were largely controlled by mineral composition and Y/Ho ratios were affected by sedimentary processes in the estuaries.