Miracle-dz/UniFAR-FTUs huggingface dataset:
Code Plagiarism Detection Method Based on Code Similarity and Student Behavior Characteristics

We proposed a plagiarism detection approach based on code similarity and student behavior characteristics in educational scenarios. The traditional plagiarism check is based on the code only, which enables that students can escape inspection by modifying a small amount of code. We proposed that if the behavioral characteristics of students when submitting code can be considered, the suspected plagiarism can be more accurately identified. We proposed the concept of code similarity concentration (SCD) with reference to the Gini coefficient idea. SCD can reflect the similarity distribution between all the codes submitted by a student and others' codes. A large value of SCD means that a student's codes are always the most similar to the codes of some particular classmates. In addition, we also extracted other features to help detection. Finally, we classify the plagiarism detection problem as a binary classification problem and use LightGBM to make decisions. The experimental results show that the accuracy is close to 99% and f1-score is close to 98%.
Balanced time perspective as a facilitator of immigrants’ psychological adaptation: A study among Ukrainian immigrants in Poland

The perception of time plays a fundamental role in the organisation of basic psychological processes, and as such may also influence migrants’ psychological wellbeing. This paper investigates the relationship between the perception of time and immigrants’ psychological adaptation (i.e., affective aspects of migration) based on a sample of 238 Ukrainians residing in Poland. To assess time perception, we drew primarily from time perspective theory, which defines time perspective as a measure of the degree to which individuals non-consciously construe the past, the present, and the future. Psychological adaptation was assessed, focusing on participants’ basic psychological needs satisfaction, their satisfaction with life, and their psychological condition. We observed a relatively strong negative relationship between negative past and fatalistic present time perspectives and psychological adaptation. Additionally, we found that a more balanced and less negative temporal profile was related to significantly better psychological adaptation of immigrants. We discuss these results in light of the cultural validity of time perspective theory, the destructive impact of negative time perspective on migrants’ psychological wellbeing, and the potential applications of time perspective-based therapy in integration interventions for immigrants.
Synchronization of human retinal pigment epithelial-1 cells in mitosis

ABSTRACT Human retinal pigment epithelial-1 (RPE-1) cells are increasingly being used as a model to study mitosis because they represent a non-transformed alternative to cancer cell lines, such as HeLa cervical adenocarcinoma cells. However, the lack of an efficient method to synchronize RPE-1 cells in mitosis precludes their application for large-scale biochemical and proteomics assays. Here, we report a protocol to synchronize RPE-1 cells based on sequential treatments with the Cdk4 and Cdk6 inhibitor PD 0332991 (palbociclib) and the microtubule-depolymerizing drug nocodazole. With this method, the vast majority (80–90%) of RPE-1 cells arrested at prometaphase and exited mitosis synchronously after release from nocodazole. Moreover, the cells fully recovered and re-entered the cell cycle after the palbociclib–nocodazole block. Finally, we show that this protocol could be successfully employed for the characterization of the protein–protein interaction network of the kinetochore protein Ndc80 by immunoprecipitation coupled with mass spectrometry. This synchronization method significantly expands the versatility and applicability of RPE-1 cells to the study of cell division and might be applied to other cell lines that do not respond to treatments with DNA synthesis inhibitors. Summary: A new methodology to synchronize RPE-1 cells in mitosis for large-scale biochemical and proteomics studies.
Research on Fighter Air Combat Effectiveness Evaluation Based on RVM and KFDA

In order to evaluate reasonably the fighter air combat effectiveness, a Relevance Vector Machine (RVM) effectiveness evaluation method is proposed based on Kernel Fisher Discriminant Analysis (KFDA) feature extraction. Firstly, on the basis of system analysis, the index system of effectiveness evaluation of fighter air combat is introduced, then KFDA is used to extract higher-order nonlinear features from evaluation index data, finally the advantages of RVM in nonlinear system modeling are applied to establish the effectiveness evaluation model of fighter air combat based on extracted features and complete the effectiveness evaluation. The actual example shows that, the root mean square error obtained by proposed method can achieve 0.0094 for effectiveness evaluation of fighter air combat. It has a scientific and reasonable process and an accurate evaluation result. This verifies its feasible and effective in effectiveness evaluation of fighter air combat.
Canine parvovirus induces G1/S cell cycle arrest that involves EGFR Tyr1086 phosphorylation

ABSTRACT Canine parvovirus (CPV) has been used in cancer control as a drug delivery vehicle or anti-tumor reagent due to its multiple natural advantages. However, potential host cell cycle arrest induced by virus infection may impose a big challenge to CPV associated cancer control as it could prevent host cancer cells from undergoing cell lysis and foster them regain viability once the virotherapy was ceased. To explore CPV-induced cell cycle arrest and the underlying mechanism toward improved virotherapeutic design, we focus on epidermal growth factor receptor (EGFR), a cellular receptor interacting with TfR that mediates CPV-host interactions, and alterations on its tyrosine phosphorylation sites in response to CPV infection. We found that CPV could trigger host G1/S cell cycle arrest via the EGFR (Y1086)/p27 and EGFR (Y1068)/STAT3/cyclin D1 axes, and EGFR inhibitor could not reverse this process. Our results contribute to our understandings on the mechanism of CPV-induced host cellular response and can be used in the onco-therapeutic design utilizing CPV by preventing host cancer cells from entering cell cycle arrest.
Graph Theory and Machine Learning Based Epileptic Seizures Analysis from EEG

in this paper, the electroencephalogram (EEG) signal that consists of the information about neurological activities of the brain has been considered to detect epileptic seizures. In connection with neural electrical activities, there is a very limited study using graph theory for seizure detection. In this work, a complete regular weighted undirected graph has been constructed in which the nodes are selected based on the variance among different channels of EEG signals, whereas weights of the edges are assigned based on the phase synchronization between associated nodes. Further, several properties of the graph have been extracted and used as feature sets to perform classification tasks. The well-known classifier k-NN has been applied for classification. In addition, principal component analysis has been used to reduce the dimension of feature sets that leads to improving the analysis and classification performance. The experimental analysis has been performed using EEG signals from the PhysioNet database for three cases — pre-ictal, ictal, and post-ictal. The results demonstrate that the proposed method achieved classification accuracy by up to 100%. The other two parameters' sensitivity and specificity are approximately 100%. The results demonstrate the usability and reliability of the proposed idea.
Adaptive Parenting Among Low-Income Black Mothers and Toddlers' Regulation of Distress.

Parenting differs in purpose and strategy according to cultural background (Brooks-Gunn & Markman, 2005; Iruka, LaForett, & Odom, 2012). The current study tests a unique latent factor score, Adaptive Parenting, that represents culturally-relevant, positive parenting behaviors: maternal coping with stress through reframing, maternal scaffolding of toddlers' learning during a low-stress task, and maternal commands during a high-stress task. Participants were Black mothers (N = 119; Mage = 27.78) and their 24- to 30-month-old toddlers. Families were part of a broader study examining family resilience among urban, low-income young children and their families. Results demonstrate that the proposed variables align on a single factor and positively predict toddlers' emotion regulation. Findings are discussed in the context of Black culturally-specific parenting processes.
Recombinant protein production‐associated metabolic burden reflects anabolic constraints and reveals similarities to a carbon overfeeding response

A comparison of the metabolic response of Escherichia coli BL21 (DE3) towards the production of human basic fibroblast growth factor (hFGF‐2) or towards carbon overfeeding revealed similarities which point to constraints in anabolic pathways. Contrary to expectations, neither energy generation (e.g., ATP) nor provision of precursor molecules for nucleotides (e.g., uracil) and amino acids (e.g., pyruvate, glutamate) limit host cell and plasmid‐encoded functions. Growth inhibition is assumed to occur when hampered anabolic capacities do not match with the ongoing and overwhelming carbon catabolism. Excessive carbon uptake leads to by‐product secretion, for example, pyruvate, acetate, glutamate, and energy spillage, for example, accumulation and degradation of adenine nucleotides with concomitant accumulation of extracellular hypoxanthine. The cellular response towards compromised anabolic capacities involves downregulation of cAMP formation, presumably responsible for subsequently better‐controlled glucose uptake and resultant accumulation of glucose in the culture medium. Growth inhibition is neglectable under conditions of reduced carbon availability when hampered anabolic capacities also match with catabolic carbon processing. The growth inhibitory effect with accompanying energy spillage, respectively, hypoxanthine secretion and cessation of cAMP formation is not unique to the production of hFGF‐2 but observed during the production of other proteins and also during overexpression of genes without transcript translation.
Comparison of Mathematical and Physical Phase Noise Performance in Fractional-N Synthesizers

Fractional-N frequency synthesizers are widely employed in wireless communications to produce sinusoidal carrier signals. Traditionally, analog synthesizers have offered the best phase noise performance whilst digital synthesizers are more flexible and have also demonstrated excellent phase noise performance. In addition, hybrid architectures have looked to combine the benefits of both analog and digital. This paper provides a qualitative analysis of the performances for each architecture with an eye towards identifying their respective performance limits.
Electroencephalographic Source Reconstruction by the Finite-Element Approximation of the Elliptic Cauchy Problem

Objective: This paper develops a novel approach for fast and reliable reconstruction of EEG sources in MRI-based head models. Methods: The inverse EEG problem is reduced to the Cauchy problem for an elliptic partial-derivative equation. The problem is transformed into a regularized minimax problem, which is directly approximated in a finite-element space. The resulting numerical method is efficient and easy to program. It eliminates the need to solve forward problems, which can be a tedious task. The method applies to complex anatomical head models, possibly containing holes in surfaces, anisotropic conductivity, and conductivity variations inside each tissue. The method has been verified on a spherical shell model and an MRI-based head. Results: Numerical experiments indicate high accuracy of localization of brain activations (both cortical potential and current) and rapid execution time. Conclusion: This study demonstrates that the proposed approach is feasible for EEG source analysis and can serve as a rapid and reliable tool for EEG source analysis. Significance: The significance of this study is that it develops a fast, accurate, and simple numerical method of EEG source analysis, applicable to almost arbitrary complex head models.
Submucosal enteric neurons of the cavine distal colon are sensitive to hypoosmolar stimuli

Neurons of the enteric submucous plexus are challenged by osmolar fluctuations during digestion and absorption of nutrients. Central neurons are very sensitive to changes in osmolality but knowledge on that issue related to enteric neurons is sparse. The present study focuses on investigation of osmosensitivity of submucosal neurons including potential molecular mediating mechanisms. Results show that submucosal neurons respond to hypoosmolar stimuli with increased activity which is partially mediated by the transient receptor potential vanilloid 4 channel. We provided important information on osmosensitive properties of enteric neurons. These data are fundamental to better explain the nerve‐mediated control of the gastrointestinal functions during physiological and pathophysiological (diarrhoea) conditions.
Automatic Primary Gross Tumor Volume Segmentation for Nasopharyngeal Carcinoma using ResSE-UNet

Nasopharyngeal carcinoma (NPC) is an endemic disease within specific regions in the world. Radiotherapy is the standard treatment for NPC and accurate segmentation of primary gross tumor volume (GTV) is a critical process of continue therapy. In this paper we proposed a ResSE-UNet network and a Ternary Cross-Entropy (TCE) loss function for delineation of GTV. ResSE-UNet employed ResSE blocks to replace convolutional blocks in the original UNet to extract better features, and reduced the number of down-sampling processing to keep relatively high resolution of the images. TCE combined dice loss and Binary cross-entropy loss for larger gradient and better stability in training. The experimental results showed that among all combinations of networks and loss functions, the ResSE-UNet with TCE loss achieved the best segmentation performance, i.e. about 0.84 DSC can be obtained.
A Survey Report on the Emerging Technologies on Assistive Device for Visually Challenged People for Analyzing Traffic Rules

Typically, visually impaired community facing difficulties in reading and cannot able to analyze the traffic rules as be fond of a common person. They are using the tradititonal technique i.e. Braille script for reading purpose which is an easy technique for them to study and to understand. In the year 2018 A survey taken by CAGR which announced that the people around 3.9 crore have 90% percent vision loss and people who are facing moderate and complete vision loss problem is around 21.7 crore people. Nearly 25.3 crore people have completely lost their vision. Around, 110 crore people with near vision loss. The popularity of blind people had gradually decreased.Nearly 89% blind people lived in less and moderate economical countries and among that, 55% of vision loss were woman.Because of various difficulties faced by blind community, numerous hospitals were opened by their government for treating and curing them. Around 1,58,000 health care sectors for visually impaired will raise to more than 90% i.e. 3,25,000 by the year 2040. frequently many softwares and equipments has been industrialized and commercialized for reading but, these softwares and equipments need of a network and backup support. They are unsuccessful in usage. In legalize to overcome the hardships faced by the visually challenged, our group has developed a equipment for them to analyze the traffic rules and perform their activities as a typical person.
An Optimized Cluster based Warehouse Pick-up Process

Order picking, the process of retrieving products from storage (or buffer areas) in response to a specific customer request, is the most labor-intensive operation in warehouses. Order-picking operations directly impact the distribution centers and thereby the performance of any supply chain. Between the time an order is released to the warehouse and the time it takes to reach its destination, there is ample opportunity for errors in both accuracy and completeness, not to mention the time lost. For these reasons, warehousing executives consider order picking as the highest priority area for productivity improvements. The proposed technique reduces the item pick-up time in the warehouse. The most frequently ordered items are considered to optimize the time by placing them in right aisles. The objective of this program is to maximize service level and minimize the throughput time of an order by applying the storage assignment strategies leveraging data mining techniques. Experimental results taken on real time data prove the pick-up time optimization.
Adherence to the MIND diet is associated with 12-year all-cause mortality in older adults

Abstract Objective: To prospectively evaluate the association of three dietary patterns: the MIND (Mediterranean-DASH diet intervention for Neurodegenerative Delay) diet; a Mediterranean-type diet and a traditional diet, with all-cause mortality over a 12-year period in an older sample. Design: A longitudinal birth cohort study. We ascertained dietary patterns using FFQ data at baseline (2004–2007) and mortality using linkage data. Cox regression was used to estimate mortality hazard ratios (HR) with adjustment for confounders. Setting: The Lothian Birth Cohort 1936 (LBC1936) study in Edinburgh, Scotland. Participants: Dietary patterns were ascertained in 882 participants, mean age 69·5 (±0·8) years, at baseline. During the 12-year follow-up (to October 2019), 206 deaths occurred. Results: In the basic-adjusted model, all three dietary patterns were significantly associated with mortality, the MIND diet and Mediterranean-type diet with a lower risk and the traditional diet with a higher risk. In fully adjusted models, MIND diet score was inversely related to all-cause mortality (HR 0·88; 95 % CI 0·79, 0·97) such that the risk of death was reduced by 12 % per unit increase in MIND diet score. Participants in the top compared with the bottom third of MIND diet score had a 37 % lower risk of death (HR 0·63; 95 % CI 0·41, 0·96). No significant associations with the Mediterranean-type or traditional dietary patterns were observed in the final multivariate model. Conclusions: Our findings suggest that closer adherence to the MIND diet is associated with a significantly lower risk of all-cause mortality, over 12 years of follow-up, and may constitute a valid public health recommendation for prolonged survival.
Anharmonic lattice dynamics and thermal transport of monolayer InSe under equibiaxial tensile strains

Two-dimensional (2D) InSe, which exhibits high electron mobility and a wide band gap has emerged as a promising material for photoelectric and thermoelectric applications. The inadequate understanding of the lattice thermal conductivity (κ), however, hampers the advancement of 2D InSe. Herein, by taking into account anharmonicity up to the fourth order and introducing the equibiaxial tensile strain (ϵ), we have performed an in-depth study on the lattice dynamics of 2D InSe. Interestingly, the κ exhibits a non-monotonic behaviour as a function of equibiaxial tensile strain, which can be attributed to the changes in acoustic phonon lifetimes. At the Γ point, a blue-shift of the lowest optical mode and a red-shift of the uppermost optical mode are reported for the first time. More strikingly, the blue-shift can be largely suppressed by equibiaxial tensile strain. Further study indicates that the unique transition of the potential energy surface is responsible for the disappearance of the blue-shift. Our work may enlighten the future research on phonon engineering and management of the lattice thermal conductivity of 2D InSe.
Secretome Proteomic Approaches for Biomarker Discovery: An Update on Colorectal Cancer

Searching for new cancer-related biomarkers is a key priority for the early detection of solid tumors, such as colorectal cancer (CRC), in clinically relevant biological fluids. The cell line and/or tumor tissue secretome represents a valuable resource for discovering novel protein markers secreted by cancer cells. The advantage of a secretome analysis is the reduction of the large dynamic range characterizing human plasma/serum, and the simultaneous enrichment of low abundance cancer-secreted proteins, thereby overcoming the technical limitations underlying the direct search in blood samples. In this review, we provided a comprehensive overview of recent studies on the CRC secretome for biomarker discovery, focusing both on methodological and technical aspects of secretome proteomic approaches and on biomarker-independent validation in CRC patient samples (blood and tissues). Secretome proteomics are mainly based on LC-MS/MS analyses for which secretome samples are either in-gel or in-solution trypsin-digested. Adequate numbers of biological and technical replicates are required to ensure high reproducibility and robustness of the secretome studies. Moreover, another major challenge is the accuracy of proteomic quantitative analysis performed by label-free or labeling methods. The analysis of differentially expressed proteins in the CRC secretome by using bioinformatic tools allowed the identification of potential biomarkers for early CRC detection. In this scenario, this review may help to follow-up the recent secretome studies in order to select promising circulating biomarkers to be validated in larger screenings, thereby contributing toward a complete translation in clinical practice.
Slow wave sleep in naps supports episodic memories in early childhood

ABSTRACT Naps have been shown to benefit visuospatial learning in early childhood. This benefit has been associated with sleep spindles during the nap. However, whether young children's naps and their accompanying physiology benefit other forms of declarative learning is unknown. Using a novel storybook task, we found performance in children (N = 22, mean age = 51.23 months) was better following a nap compared to performance following an equivalent interval spent awake. Moreover, performance remained better the following day if a nap followed learning. Change in post‐nap performance was positively associated with the amount of time spent in slow wave sleep during the nap. This suggests that slow wave sleep in naps may support episodic memory consolidation in early childhood. Taken in conjunction with prior work, these results suggest that multiple features of brain physiology during naps may contribute to declarative memory processing in early childhood.
A Simplified Iohexol-Based Method to Measure Renal Function in Sheep Models of Renal Disease

Sheep are highly adequate models for human renal diseases because of their many similarities in the histology and physiology of kidney and pathogenesis of kidney diseases. However, the lack of a simple method to measure glomerular filtration rate (GFR) limits its use as a model of renal diseases. Hence, we aimed to develop a simple method to measure GFR based on the plasma clearance of iohexol by assessing different pharmacokinetic models: (a) CL2: two-compartment (samples from 15 to 420 min; reference method); (b) CL1: one-compartment (samples from 60 to 420 min); (c) CLlf: CL1 adjusted by a correction formula and (d) SM: simplified CL2 (15 to 300 min). Specific statistics of agreement were used to test the models against CL2. The agreement between CL1 and CL2 was low, but both CL1f and SM showed excellent agreement with CL2, as indicated by a total deviation index of ~5–6%, a concordance correlation of 0.98–0.99% and a coverage probability of 99–100%, respectively. Hence, the SM approach is preferable due to a reduced number of samples and shorter duration of the procedure; two points that improve animal management and welfare.