Miracle-dz/UniFAR-FTUs huggingface dataset:
Autoscaling pods on an on-premise Kubernetes infrastructure QoS-aware

Cloud systems and microservices are becoming powerful tools for businesses. The evidence of the advantages of offering infrastructure, hardware or software as a service (IaaS, PaaS, SaaS) is overwhelming. Microservices and decoupled applications are increasingly popular. These architectures, based on containers, have facilitated the efficient development of complex SaaS applications. A big challenge is to manage and design microservices with a massive range of different facilities, from processing and data storage to computing predictive and prescriptive analytics. Computing providers are mainly based on data centers formed of massive and heterogeneous virtualized systems, which are continuously growing and diversifying over time. Moreover, these systems require integrating into current systems while meeting the Quality of Service (QoS) constraints. The primary purpose of this work is to present an on-premise architecture based on Kubernetes and docker containers aimed at improving QoS regarding resource usage and service level objectives (SLOs). The main contribution of this proposal is its dynamic autoscaling capabilities to adjust system resources to the current workload while improving QoS.
A COMPARATIVE STUDY OF THE DIAGNOSTIC AND PROGNOSTIC VALUE OF GOLGI PROTEIN 73 AND ALFA-FETO PROTEIN IN HEPATOCELLULAR CARCINOMA BEFORE AND AFTER THERAPEUTIC INTERVENTION

Background: Hepatocellular carcinoma (HCC) is the seventh most common malignancy and the second leading cause of cancerrelated deaths worldwide. Globally, there are approximately 750000 new cases and 700000 deaths of HCC reported per annum. Aim of the Study: To evaluate the diagnostic value of serum level of golgi protein 73 (GP73) as a tumor marker for HCC and its prognostic value after trans arterial chemo embolization (TACE) or radiofrequency ablation (RFA), in comparison to alpha-feto protein (AFP). Patients and Methods: This study will be performed on 60 subjects from the outpatient Hepatology clinic and inpatient Gastroenterology and Hepatology Department at Ain Shams University Hospital. They will be classified into three groups: Group I: Fourty (40) patients with hepatocellular carcinoma who will undergo either RFA or TACE, Group II: Ten (10) patients with liver cirrhosis without hepatocellular carcinoma, Group III: The control group composed of Ten (10) age and sex matched healthy subjects. Results: In our study, there was a significant positive correlation between GP73 and AFP values with tumor number and size with p values of 0.001, GP73 levels decreased significantly in patients with HCC after intervention either by RFA or TACE with a p value 0.001 Conclusion: Plasma GP73 is a sensitive and specific serum marker for the diagnosis of HCC and we recommend combination of AFP and GP73 in screening and diagnosis of HCC. Also the marked significant reduction of serum GP73 levels in HCC patients subjected to either RF ablation and TACE proved that GP73 may play a prognostic marker in HCC management.
Influencing factors of neonatal peripherally inserted central venous catheter (PICC)-related phlebitis: a systematic review, meta-analysis and network meta-analysis

A peripherally inserted central venous catheter (PICC) plays an important role in the security of newborns, especially very low birth weight infants and extremely very low birth weight infants. However, PICC-related phlebitis can seriously affect the normal use of catheters and even cause unplanned removals of catheters. In this review, we systematically reviewed and explored the influencing factors of neonatal PICC-related phlebitis. The PubMed, Embase, CENTRAL, CINAHL, CBM, Wanfang and CNKI databases were searched to collect relevant studies on influencing factors of neonatal PICC-related phlebitis. Review Manager software version 5.3 (RevMan; the Cochrane Collaboration 2012, The Nordic Cochrane Center, Copenhagen, Denmark) and GeMTC software version 0.14. 3 (Gert van Valkenhoef, Groningen, The Netherlands ) were used for the meta-analysis and network meta-analysis. A total of 32 studies were included, including 14 randomized controlled trials (RCTs), 2 case-control studies, and 16 cohort studies, involving a total of 8278 neonates. The meta-analysis results showed that the influencing factors of neonatal PICC-related phlebitis were catheter malposition (OR (Odds Ratio) = 5.53, 95% CI (Confidence Interval) (1.22, 25.15)), catheter occlusion (OR = 7.18, 95% CI (3.54, 14.56)), gestational age (OR = 2.51, 95% CI (1.35, 4.66)), using a dexamethasone solution to infiltrate the catheter (OR = 0.26, 95% CI (0.17, 0.41)), and innovative nursing interventions (OR = 0.17, 95% CI (0.07, 0.42)). The network meta-analysis results showed that, compared with lower limb veins, the use of scalp veins (OR = 3.57, 95% CI (1.39, 10.18)) and upper limb veins (OR = 1.89, 95% CI (1.08, 3.37)) had a statistically significant difference in the incidence of phlebitis, while there was no statistically significant difference in the incidence of phlebitis between scalp veins and upper limb veins (OR = 0.53, 95% CI (0.20, 1.26)). PICC puncture of the lower limb veins was most likely to lead to phlebitis, followed by upper limb vein puncture, followed by scalp vein puncture. Catheter malposition, catheter occlusion and being small for gestational age were risk factors for PICC-related phlebitis, while dexamethasone solution infiltration of catheters and innovative nursing interventions were protective factors. Venipuncture of the lower limbs is the most likely location to cause PICC-related phlebitis.
Early Nitrogen Applications Promote the Initiation of Sweetpotato Storage Roots

A number of published studies have focused on the effects of N application timing on sweetpotato yield. However, none of them examined the influence of the timing of N fertilisation on the initiation of storage roots (SRs), which largely determines the number of tubers per plant and substantially affect the yield. A pot experiment was conducted in sand culture to evaluate the influence of N application timing (N applied on the planting day, 3, 7 and 14 days after transplanting (DAT), denoted T1, T3, T7 and T14, respectively, and a no N applied control T0) on the plant acquisition of N and the initiation of SRs of ‘Orleans’ cultivar. A previously-determined optimal N rate for the SR formation (Hoagland solution with 100mg/L N) in the experimental system was used. Rapid SR formation was found to require N during the first week after transplanting. No or late N application delayed the initiation of SRs and reduced the number of SRs. No or delayed N application inhibited the formation of regular vascular cambium (RVC) and anomalous cambium (AC) and led to an increase in lignification of stele cells leading to significantly higher proportion of lignified roots. By contrast, plants supplied with N within 7 DAT had a higher rate of SRs and lower rate of lignified roots. Also, earlier N application promoted total plant and root growth measured as higher biomass and storage root weight, as well as higher N accumulation in plants and higher nitrogen recovery efficiency (NRE). Results suggested that the SR formation required N during the first week after transplanting. Therefore, moderate N should be available in soil before or on planting day.
Sine-cosine optimization approach applied to the parametric estimation in single-phase transformers by considering voltage and current measures 

In this article, a combinatorial optimization approach for estimating the electrical parameters in single-phase distribution transformers by considering voltage and current measures is presented. A nonlinear programming model was formulated to represent the parametric estimation problem. This mathematical optimization model was developed by applying Kirchhoff’s laws to the equivalent electric circuit of the transformer. To solve the NLP model is employed the sine-cosine algorithm, which corresponds to a combinatorial optimization methodology from the family of metaheuristics that has the ability for finding good solutions with minimum computational requirements, easily implementable at any programming language. Numerical results show that the parametric estimation in the transformers using the proposed NLP model represents the electrical behavior of these devices adequately, considering different load scenarios. All the simulations were carried out using MATLAB software and compared with the GAMS optimization package
Stochastic Computational Model for Progressive Collapse of Reinforced Concrete Buildings

AbstractA two-scale numerical model is developed to investigate the probabilistic collapse behavior of reinforced concrete (RC) buildings subjected to local structural damage. In this model, a set of coarse-scale cohesive elements is used to model the failure of potential damage zones in various RC structural members. The constitutive properties of the cohesive elements and their probability distributions are determined from detailed stochastic finite element simulations of the potential damage zones by taking into account the uncertainties in various material properties. The two-scale model is validated both experimentally and numerically for different structural subassemblages. The model is then applied to study the collapse behavior of a prototype 10-story RC building subjected to sudden column removal using both deterministic and probabilistic analysis frameworks. The deterministic calculation uses the mean material properties and the factored gravity loads according to the Unified Facilities Criteria.
Skill-Based Differences in Decision Time when Responding to Verbal Information from Intrateam Communication in Lacrosse

Verbal intrateam communication has been shown to be important for effective team sports performance. However, in the sports anticipation literature, there is a disparity between the vast body of work examining the use of visual information and the limited research investigating the use of auditory or verbal information. This study examines skill-based differences in athletes’ use of intrateam communication to anticipate an opposing team’s actions in the absence of visual information. Skilled and less-skilled lacrosse players acted as defenders in a laboratory-based experiment where only verbal information from simulated teammates was available. Participants used sequences of calls made during an unfolding action to respond to an end call and predict the actions of the opposing team. Independent sample t-tests revealed that skilled players had quicker decision times and movement times compared to less-skilled players (ps < .05). Findings demonstrate that information from teammate communication can be used for anticipation in sport.
Profiles of Experts’ Cognitive and Metacognitive Processing during Performance of a Novel Problem-Solving Task

Although much is known about the instructional outcomes related to science simulations, less is known about the cognitive and metacognitive processes individuals employ during these simulations, and how this processing relates to important science learning outcomes, such as scientific explanations of phenomena. In this study, we sought to develop profiles of experts’ problem solving during a physical simulation task that was outside their scientific discipline. The simulation involved working with a box with an unknown internal mechanism that varied water output in relation to water input. Eleven experts in four scientific disciplines (i.e., psychology, biology, chemistry, and physics) from a large public university in the southeastern United States engaged in a novel simulation of a scientific phenomenon. They worked with the simulation for 30 minutes, thinking aloud while they did so, and, following the experience with the simulation, developed a scientific explanation for the phenomenon they observed. The thinkalouds and explanations were coded to reveal both the processing profiles and the scientific explanations associated with those profiles. These data indicated that many aspects of the experts’ processing profiles were similar (e.g., their use of observation as a high-frequency strategy). However, important differences in processing were identified that appeared to influence the precision and openness of the resulting explanations. Suggestions for future research, such as comparing these profiles to non-experts, and suggestions for classroom practice, such as modeling multiple patterns of strategy use during science tasks are discussed.
Specificities and isotypes of erythrocytes autoantibodies in patients with warm autoimmune hemolytic anemia

Introduction: Autoimmune hemolytic anemia is a rare disorder characterized by hemolysis mediated by autoantibodies directed against red blood cells. The demonstration of antibody specificity is a very difficult procedure since autoantibodies in general are nonspecific of antigens and react with all erythrocytes analyzed. Occasionally, specificity is observed against the Rh system antigens. Objective: To determinate the specificity of erythrocytes autoantibodies in DAT positive autoimmune hemolytic anemia by MAIEA technique. Methods: The specificity and isotype of erythrocyte autoantibodies were determined in the eluate of 109 blood samples from patients with warm autoimmune hemolytic anemia, by means of the MAIEA technique and the use of monoclonal antibodies that recognized 11 blood group systems and the protein CD47. Results: In 100% of cases autoantibodies against Rh system antigens were detected; in 24 cases we detected autoantibodies of IgA and IgM isotypes that recognized different antigens that were recognized by IgG isotype autoantibodies. Revista Cubana de Hematología, Inmunología y Hemoterapia. 2020;36(4):e1283
Perceived Language Learning Difficulties by Preparatory School Students: A Case Study Hazırlık Öğrencilerinin Dil Öğrenmeyi Zorlaştıran Faktörlere İlişkin Algıları–Bir Vakıf Üniversitesi Örneği

The aim of this study is to determine the difficulties that students of English as a foreign language experience in the language learning process. The study also reveals the relationship between language learning difficulties students experience and their achievements, gender and academic levels. The study group of this descriptive study consisted of 340 preparatory unit students. The “Foreign Language Learning Difficulties Scale” developed by Özmat (2017) was used for quantitative data and a semi-structured interview form developed by the researchers was used as a qualitative data source. According to the results of the study, it was determined that the difficulties that preparatory students have at the highest level in the language learning process are related to learning resources, and the difficulties they experience at the minimum level are related to the learning environment (physical and psychological). It was determined that the students had moderate difficulty stemming from the teaching-learning process and from themselves. The qualitative results of the research also support the results obtained from the scale. It was observed that students did not experience much difficulty related to disciplinary or classroom management issues. In addition, students stated that they needed more student-centered practices in class. There was no significant relationship between students’ difficulty level, achievement test and gender. It was determined that the difficulties experienced by the students studying at lower levels are higher than the students studying at higher levels. According to the results of the research, suggestions were made for language learning processes and foreign language teaching in preparatory schools.
A short oro-gastric imipramine administration in Brucella abor- tus 2308 infected mice decreases CFU count at the spleen; im- proves the IFN-/IL-6 ratio; restores serotonin levels in the hip- pocampus, muscular strength, and mood

Brucellosis infection induces fever, chills, sweats, headache, myalgia, arthralgia, anorexia, fatigue, and mood disorders. In mice, it causes a rise in IL-6, TNF-, and IFN-; and reduces serotonin and dopamine levels in hippocampus. There is loss in muscle strength and equilibrium and increased anxiety and hopelessness. Imipramine (ImiP) is a tricyclic antidepressant that increases the capacity of macrophages to destroy intracellular microorganisms in vivo. The effect of ImiP was evaluated in Balb/c mice infected with Brucella abortus 2308. Serum levels were determined in IFN, IL-6, TNF-, IL-12, MCP-1, and IL-10 by FACS; the bacterial count in the spleen, by CFU; the serotonin concentration in the hippocampus, by HPLC; and strength, equilibrium, and mood by behavioral tests. Our results showed that infected vs. control mice had a significant rise in levels of IFN-, IL-6, TNF-, and IL-12 with a low IFN-/IL-6 ratio, elevated bacterial-counts, alterations in serotonin concentration at hippocampus, and decreased muscular strength, equilibrium, and mood. Infected mice treated with ImiP vs. infected mice showed: 1) improved mood; 2) increased hippocampal serotonin availability, splenic dendritic cells, and macrophage phagocytic activity; and 3) upturn inflammation and reduced CFU ability. Our results support that ImiP favors positive outcomes in subjects handling Brucella infections likely by improving psychoimmune resilience.
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers

It has been recently observed that neural networks, unlike kernel methods, enjoy a reduced sample complexity when the distribution is isotropic (i.e., when the covariance matrix is the identity). We ﬁnd that this sensitivity to the data distribution is not exclusive to neural networks, and the same phenomenon can be observed on the class of quadratic classiﬁers (i.e., the sign of a quadratic polynomial) with a nuclear-norm constraint. We demonstrate this by deriving an upper bound on the Rademacher Complexity that depends on two key quantities: (i) the intrinsic dimension, which is a measure of isotropy, and (ii) the largest eigenvalue of the second moment (covariance) matrix of the distribution. Our result improves the dependence on the dimension over the best previously known bound and precisely quantiﬁes the relation between the sample complexity and the level of isotropy of the distribution.
Peptide: N-glycanase 1 and its relationship with con- genital disorder of deglycosylation

1. Queen Mary School, Nanchang University, No. 1299 Xuefu Avenue, Honggutan New District, Nanchang, 330036, China 2. Laboratory of Translational Medicine Research, Department of Pathology, Deyang Key Laboratory of Tumor Molecular Research, Deyang People’s Hospital, No. 173 First Section of Taishanbei Road, Jingyang District, Deyang, 618000, China 3. Department of Molecular & Cellular Biology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA. 4. Jiangxi Key Laboratory of Experimental Animals, Nanchang University, Nanchang, 330006, China.
Multiple same-level and telescoping nesting in GFDL's dynamical core

Abstract. Two-way multiple same-level and telescoping grid nesting capabilities are implemented in the Geophysical Fluid Dynamics Laboratory (GFDL)'s Finite-Volume Cubed-Sphere Dynamical Core (FV3). Simulations are performed within GFDL's System for High-resolution modeling for Earth-to-Local Domains (SHiELD) using global and regional multiple nest configurations. Results show that multiple same-level and multi-level telescoping nests were able to capture various weather events in greater details by resolving smaller-scale flow structures. Two-way updates do not introduce numerical errors in their corresponding parent grids where the nests are located. The cases of Hurricane Laura's landfall and an atmospheric river in California were found to be more intense with increased levels of telescoping nesting. All nested grids run concurrently, and adding additional nests with computer cores to a setup does not degrade the computational performance nor increase the simulation run time if the cores are optimally distributed among the grids.
Towards Multi-Grained Explainability for Graph Neural Networks

When a graph neural network (GNN) made a prediction, one raises question about explainability: “Which fraction of the input graph is most influential to the model’s decision? ” Producing an answer requires understanding the model’s inner workings in general and emphasizing the insights on the decision for the instance at hand. Nonetheless, most of current approaches focus only on one aspect: (1) local explainability, which explains each instance independently, thus hardly exhibits the class-wise patterns; and (2) global explainability, which systematizes the globally important patterns, but might be trivial in the local context. This dichotomy limits the flexibility and effectiveness of explainers greatly. A performant paradigm towards multi-grained explainability is until-now lacking and thus a focus of our work. In this work, we exploit the pre-training and fine-tuning idea to develop our explainer and generate multi-grained explanations. Specifically, the pre-training phase accounts for the contrastivity among different classes, so as to highlight the class-wise characteristics from a global view; afterwards, the fine-tuning phase adapts the explanations in the local context. Experiments on both synthetic and real-world datasets show the superiority of our explainer, in terms of AUC on explaining graph classification over the leading baselines. Our codes and datasets are available at https://github.com/Wuyxin/ReFine.
Psychometric Properties of the Persian VCare EORTC IN-PATSAT32 Questionnaire among Iranian Cancer Patients

During the past decades, cancer incidence and mortality rates had an increasing trend especially in less developed and economically transitioning countries (Jemal et al., 2010), which indicate 8 million death from cancer in 2010, 38% more than the past two decades (Lozano et al., 2013). Due to the severity of illness and sophisticated treatments and complications, the quality of health services should be more considered and regularly measured. Good quality of health services influence patients satisfaction and their positive perception may lead to better adherence to care plans and satisfied patients are more likely to comply with treatment, which in turn affect treatment process (Asadi-Lari et al., 2004). This is why a more patient-centered approach health care has adopted