Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Network IDS using Data Analysis tool With Python

Intrusion detection systems (IDSs) help us to monitor the network and identify the malicious activities that occur on the network. IDSs help to secure the network by analyzing the network traffic information. These days various machine learning algorithms are used to detect network attacks. In this paper, we analyzed the network traffic using machine learning approaches. In the end, some classifications include Detection rate, false-positive rate, and the average cost for misclassification. The main purpose of this paper is to detect the attacks on the network and finally to develop a tool that helps to detect and prevent the network from the various malicious intruder.
Why a Studio without a Backlot Isn’t Like a Ten-story Building without an Elevator

After the collapse of the studio system (1920 to 1950), the film industry underwent dramatic changes in both its business model and land use. In 1961, Twentieth Century Fox (Fox) sold more than 280 acres of studio land in West Los Angeles for the creation of a “city within a city” called Century City and leased back 75 acres for film production. This article examines Fox’s land planning after Century City, when executives planned to redevelop its studio land and move its production facilities elsewhere in Los Angeles, deeming the existing one ill-suited for a changed industry. The studio remains an active production facility today, disproving earlier assumptions that overestimated the property’s exchange value and underestimated its use value.
A study on Geotextile Strengthening Analysis using Python Software

In the current trend, materials have been extensively utilized within the applications of civil engineering for reinforce roads, retaining walls, railway ballasts and highways. Hence, focusing on interaction of geotextile under direct shear is prominent. Soil reinforcement interaction has a significant role in reinforced soil design procedure. The qualities of the soil, the reinforcement, and the interplay of the components are all important in this process. In this manuscript, shear strength interface among sand and geotextiles having diversified strength has been characterized by the direct shear tests. Moreover, the direct shear test series are approved for examining the behaviour of soil or geosynthetics interface. Also, geotextile has been kept at distinct position in the shear-box, while its impacts are examined consequently. Further, properties of geosynthetics, soils, and test equipment are explored. The internal friction angle (Ø); Cohesion (C) and behaviour of shear of sand geotextile interference have been explored by examining the experimental outcomes from the tests.
Multiscale Modeling of Al0.7Sc0.3N-based FeRAM: the Steep Switching, Leakage and Selector-free Array

In this work, by experiments and material calculations, the steep polarization switching and the leakage in ferroelectric Al0.7Sc0. 3 N are investigated. The material calculations suggest that the tight distribution of the coercive field is attributed to highly uniform material with well-aligned domains. The electron emission and hopping assisted by N vacancies in the Al0.7Sc0. 3 N layer dominate the leakage current. For the first time, a circuit model of Al0.7Sc0. 3 N -based FeRAM, reflecting the frequency dependent coercive field and leakage, is established to project the behavior of the selector- free array, and analyzing the dependence of the latency and the read window on the device area, line resistance and the array size.
Advancing 2D Monolayer CMOS Through Contact, Channel and Interface Engineering

2D CMOS transistors fabricated with transition metal dichalcogenide (TMD) materials are a potential replacement for silicon transistors at sub-12 nm channel length [LG]. We demonstrate record NMOS contacts using a high melting point metal, down to 146 Ω-µm contact resistance (Rc). We present the best PMOS performance on a grown monolayer WSe2 film with 50 µA/µm Ion and 141 mV/dec sub-threshold swing (SS) using a Ru contact metal, showing record PMOS contact resistance, Rc = 2.7 kΩ-µm. For the first time, we present 300 mm wafer growth options of 4 different 2D TMD films: MoS2, WS2, WSe2, MoSe2 that were grown at BEOL compatible temperatures. On unpassivated channel devices we show two methods of channel curing. First, N2 desiccation can improve ION (~2x) and SS (~0.6×) simultaneously. Secondly, FGA annealing can improve bare channel devices by increasing their median Ion by 10× and lowering their SS by almost 50%. Finally, we benchmark our results against leading grown TMD devices, demonstrating record drive-currents among devices with good SS.
Polarity-dependent threshold voltage shift in ovonic threshold switches: Challenges and opportunities

In this paper we investigate the operation of Si-Ge-As-Te Ovonic Threshold Switch (OTS) selectors under bipolar pulses. We observe that the threshold voltage increases noticeably if the previous pulse had opposite polarity. This effect is consistently present under different test conditions and persists for a long time (>1000s). We also investigate its impact on 1S1R operation, and discuss possible applications, such as OTS-only memory element.
The effects of a personalized recommendation system on students' high-stakes achievement scores: A field experiment

This study examines data from a ﬁeld experiment investigating the eﬀects of a personalized recommendation algorithm that proposes to students which videosto watch next, after they complete mini-assessments for algebra that available on the Math Nation intelligent virtual learning environment (IVLE). The end users of Math Nation are students enrolled in an Algebra 1 course in middle and high schools of the state of Florida, and the IVLE is used both during and out of school time. The objective of the developed recommendation algorithm is to increase student preparation to take the state-mandated End-of-Course (EoC) Algebra 1 assessment at the end of the school year. The algorithm is based on a Markov Decision Process framework that uses as input the students’ responses to a series of mini-assessment tests. The current study randomly assigned 16,406 students to either treatment or control conditions, which were blind to both students and teachers. The results indicate that the eﬀects of the recommendation algorithm depend on the level of usage of students, showing signiﬁcant improvements on EoC test scores of students who have a moderate level of usage. However, there was no eﬀect for low usage students. The study also shows that students practicing with the mini-assessments available on Math Nation, helps them improve by a small margin their performance on the End-of-Course test, irrespective of the usage level. Finally, the study provides insights on challenges posed for implementing personalized recommendation algorithms at a large scale, related both to student self-regulation and teacher orchestration of technology use in the classroom
Development and Validation of Prediction Models for Hypertensive Nephropathy, the PANDORA Study

Importance Hypertension is a leading cause of end-stage renal disease (ESRD), but currently, those at risk are poorly identified. Objective To develop and validate a prediction model for the development of hypertensive nephropathy (HN). Design, Setting, and Participants Individual data of cohorts of hypertensive patients from Kailuan, China served to derive and validate a multivariable prediction model of HN from 12, 656 individuals enrolled from January 2006 to August 2007, with a median follow-up of 6.5 years. The developed model was subsequently tested in both derivation and external validation cohorts. Variables Demographics, physical examination, laboratory, and comorbidity variables. Main Outcomes and Measures Hypertensive nephropathy was defined as hypertension with an estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m2 and/or proteinuria. Results About 8.5% of patients in the derivation cohort developed HN after a median follow-up of 6.5 years that was similar in the validation cohort. Eight variables in the derivation cohort were found to contribute to the risk of HN: salt intake, diabetes mellitus, stroke, serum low-density lipoprotein, pulse pressure, age, hypertension duration, and serum uric acid. The discrimination by concordance statistics (C-statistics) was 0.785 (IQR, 0.770-0.800); the calibration slope was 1.129, the intercept was –0.117; and the overall accuracy by adjusted R2 was 0.998 with similar results in the validation cohort. A simple points scale developed from these data (0, low to 40, high) detected a low morbidity of 7% in the low-risk group (0–10 points) compared with >40% in the high-risk group (>20 points). Conclusions and Relevance A prediction model of HN over 8 years had high discrimination and calibration, but this model requires prospective evaluation in other cohorts, to confirm its potential to improve patient care.
Adolescents' Utilization of a Tertiary-Level Pediatric Emergency Department in Italy

Aim Describe the use of the emergency department of a tertiary-level children's hospital in Italy by adolescents. Methods This retrospective study was based on the medical records of patients aged 13 to 17 years, who accessed the emergency department of the Institute for Maternal and Child Health of Trieste, from 1 January to 31 December 2018. The primary outcome was to describe the leading causes of access, diagnoses, rate of hospitalization, and ward of destination among adolescent patients. Results During the study period, 24,599 patients accessed the department. Among them, 3,062 were adolescents, for a total of 3,895 unscheduled visits. The principal causes of access were trauma (45.3%) and organic diseases (38.8%). Two hundred and forty nine adolescents (6.4%) had mental health problems. One hundred and forty two adolescents (3.6%) Were Admitted to the Hospital, 54 of Whom (38%) to the Neuropsychiatric Ward, for Mental Health Problems. Conclusions Among adolescents seen in this Italian tertiary-level children's hospital, mental health problems represented a small proportion of emergency department visits but were the leading cause of urgent hospitalization.
A Prediction Equation to Estimate Vascular Endothelial Function in Different Body Mass Index Populations

Objective Vascular endothelial dysfunction is considered an early predictor of endothelial injury and the initiating factor of atherosclerosis (AS). Brachial artery flow-mediated dilation (FMD) can detect endothelial injury early and provide important prognostic information beyond traditional cardiovascular (CV) risk factors. This study aimed to find the influencing factors of FMD and develop a simple prediction model in populations with different body mass indices (BMIs). Methods In total, 420 volunteers with different BMIs were recruited in our study. Subjects were randomly assigned to the derivation and validation cohorts (the ratio of the two was 1:2) with simple random sampling. The former was used for influencing factors searching and model construction of FMD and the latter was used for verification and performance evaluation. Results The population was divided into two groups, i.e., 140 people in the derivation group and 280 people in the verification group. Analyzing in the training data, we found that females had higher FMD than males (p < 0.05), and FMD decreased with age (p < 0.05). In people with diabetes, hypertension or obesity, FMD was lower than that in normal individuals (p < 0.05). Through correlation analysis and linear regression, we found the main influencing factors of FMD: BMI, age, waist-to-hip radio (WHR), aspartate aminotransferase (AST) and low-density lipoprotein (LDL). And we developed a simple FMD prediction model: FMD = −0.096BMI−0.069age−4.551WHR−0.015AST−0.242LDL+17.938, where R2 = 0.599, and adjusted R2 = 0.583. There was no statistically significant difference between the actual FMD and the predicted FMD in the verification group (p > 0.05). The intra-class correlation coefficient (ICC) was 0.77. In a Bland-Altman plot, the actual FMD and the predicted FMD also showed good agreement. This prediction model had good hints in CV risk stratification (area under curve [AUC]: 0.780, 95 % confidence intervals [95% CI]: 0.708–0.852, p < 0.001), with a sensitivity and specificity of 73.8 and 72.1%, respectively. Conclusions Males, older, obesity, hypertension, diabetes, smoking, etc. were risk factors for FMD, which was closely related to CV disease (CVD). We developed a simple equation to predict FMD, which showed good agreement between the training and validation groups. And it would greatly simplify clinical work and may help physicians follow up the condition and monitor therapeutic effect. But further validation and modification bears great significance.
Resolving Strategic Dilemmas in Ambidextrous Organizations: An Integrated Second-Order Factor Model Perspective

Drawing on relevant literature, this study investigates the process of realizing innovation ambidexterity (IA) by proposing a theoretical model and adopting a specifically integrated mechanism with the aim to resolve strategic dilemmas in ambidextrous organizations (AOs). We analyzed a sample of 136 cross-sectional surveys collected from business managers of 132 medium- and high-tech firms in China by employing a structural equation model combined with moderation analysis to test our hypotheses. Our findings indicate that the second-order theoretical model fits the data well and AO, represented by a higher-order construct, positively affects IA. Instead of structural ambidexterity, balanced contextual ambidexterity and radical performance management can be effectively applied as the factors of the second-order construct; the design comprising balanced contextual ambidexterity and performance management is thus helpful in resolving strategic dilemmas. Our findings demonstrate that Chinese firms, as technology latecomers, are more inclined to conduct near-radical innovation. The risk of exploration crowding out exploitation efforts exists in Chinese high-tech firms. Furthermore, we provides greater insights into the moderating impact of intra-organizational practice on IA based on the fact that performance measurement balance (PMB) did not directly influence the achievement of IA and clarifies the positive role that PMB plays in improving IA.
Social Value Orientation Moderated the Effect of Acute Stress on Individuals’ Prosocial Behaviors

Acute stress is believed to lead to prosocial behaviors via a “tend-and-befriend” pattern of stress response. However, the results of the effect of acute stress on prosocial behavior are inconsistent. The current study explores the moderating effect of gender and social value orientation on the relationship between acute stress and individuals’ pure prosocial behaviors (i.e., pure prosociality and prosocial third-party punishment). Specifically, eighty-one participants were selected and underwent the Trier Social Stress Test (or were in the control group), followed by the third-party punishment task and the dictator game. The results showed that, in general, the main effect of condition or respiratory sinus arrhythmia (RSA) reactivity on individual prosocial behaviors was significant and did not vary between genders. Furthermore, social value orientation (i.e., prosocial or self-orientation) might moderate the impact of RSA reactivity on the amount of punishment in the third-party punishment task. That is, individuals with self-orientation exhibited more prosocial third-party punishment as RSA reactivity decreased, while the effect did not occur for individuals with prosocial orientation. Taken together, the findings of the current study provide further evidence for the “tend-and-befriend” hypothesis and highlight the underlying physical mechanisms as well as the individual dependence of the effect of psychosocial stress on individuals’ pure prosocial behaviors.
The CDKAL1 rs7747752-Bile Acids Interaction Increased Risk of Gestational Diabetes Mellitus: A Nested Case-Control Study

Aims The study aimed to explore additive interactions of CDKAL1 rs7747752 and GUDCA/DCA for GDM risk and whether the interactive effects on the risk of GDM was mediated via increasing lysophosphatidylcholines (LPC) 18:0 and/or saturated fatty acid (SFA) 16:0. Methods A 1:1 age-matched study nested in a prospective cohort of pregnant women (207 pairs) was organized in Tianjin, China. Additive interactions were used to test interaction effects while mediation analyses and Sobel tests were used to test mediation effects of LPC18:0 and SFA16:0 between copresence of rs7747752 and low GUDCA/DCA, and GDM risk. Results The CDKAL1 rs7747752 was associated with GDM (P<0.05). The rs7747752 C polymorphism markedly enhanced ORs of low GUDCA from 4.04 (0.72-22.8) to 9.02 (1.63-49.7) and low DCA from 1.67 (0.68-4.11) to 4.24 (1.84-9.76), both with significant additive interactions. Further adjustment for LPC18:0 attenuated the interactive effects of rs7747752 and low DCA, with a significant mediation effect (P=0.003). High SFA16:0 did not mediate the interactive effects of rs7747752 and low DCA/GUDCA on GDM risk. Conclusions The CDKAL1 rs7747752 C carrier status and low GUDCA/DCA had significant additive interactions on the risk of GDM with the effect from interaction with DCA being partially mediated via increasing LPC18:0.
Dynamic Performance Evaluation of Grid-Connected Hybrid Renewable Energy-Based Power Generation for Stability and Power Quality Enhancement in Smart Grid

Today’s stochastic grid system is experiencing huge voltage fluctuations, which is responsible for power quality issues in the smart microgrid network due to its intermittent nature as well as penetration of hybrid renewable resources. Thus, the dynamic performance evaluation and their control are essential to sustaining the stability of the grid network. A d-q controller mechanism is suggested to maintain the balance of the distributed generation network and grid side network. A dynamic control mechanism of voltage source converter (VSC) is presented in the MPPT-based wind power generating station, where an induction generator generates the power by the optimal control of the wind energy-based subsystem. The distributed hybrid generation (solar PV and wind) subsystem’s output terminal is linked to the DC bus bar’s common link via the VSC. A VSI is utilized to convert the desired DC power to alternating current power. To regulate and improve the performance of the proposed hybrid power generating systems (HPGS), a supercapacitor (SC) is used to smooth out the ripple on the distribution side in the power grid. Furthermore, the dynamic stability of grid-connected solar PV and wind power generation systems is investigated. This article also proposed an effective control scheme for the SC in HPGS under the influence of weak grid conditions. This article aimed to validate the efficiency of the VSI topology; a PI controller stability enhancement approach is used in a proposed grid system under various disturbance conditions. Finally, the simulation results and FFT-based power quality response analysis are validated through the effective utilization of an SC.
Transcriptome Comparison of Chorion-Attached and Non-chorion-attached Endometrium in Mid-gestation of Rabbit

Background The chorion from the placenta is directly attached to the endometrium (CA) after embryo implantation while some parts of the endometrium are not chorion-attached (NCA). The differences in gene expression between the CA and NCA endometrium mid-gestation are unknown. Our objective was to compare the gene expression profiles of the CA and NCA endometrium of rabbit, to identify the differentially expressed genes (DEGs), and correlate the differences with the physiological state of the endometrium at mid-gestation of rabbit. Methods We used transcriptome sequencing to reveal the differences in gene expression between CA and NCA endometrium (n = 3), and then determined the concentration of inflammatory cytokines in CA and NCA tissue and serum by ELISA. Results Six Hundred and Forty-Six DEGs were identified between the CA and NCA endometrium [p < 0.05, |log2 (fold change) |≥ 2], The expression levels of 590 DEGs were higher in the NCA endometrium than in the CA endometrium, while the expression level of only 56 DEGs were higher in CA than in NCA. The DEGs were enriched in gene ontology (GO) terms and pathways related to immune regulation and cellular adhesions. Six hub-genes related to inflammatory mediator regulation of transient receptor potential (TRP) channels and chemokine signaling pathways had a lower expression level in the CA endometrium compared to the NCA endometrium, and the expression levels of genes related to focal adhesion and extracellular matrix (ECM)-receptors were significantly higher in NCA endometrium than in CA endometrium. The level of pro-inflammatory cytokines accumulated in the CA endometrium, and high abundance of integrin-β and THBS1 were localized in the luminal epithelium of the NCA endometrium, but not in the CA endometrium. Conclusions Our study reveals differences in gene expression between the CA and NCA endometrium at mid-gestation of rabbit, and suggests implications for endometrial physiological function. The CA endometrium showed relative low-level gene expression compared to the NCA endometrium, while the NCA endometrium performed physiological functions related to focal adhesion and ECM-receptor interaction.
Redox Zone and Trophic State as Drivers of Methane-Oxidizing Bacterial Abundance and Community Structure in Lake Sediments

Eutrophication is expected to increase methane production in freshwater sediments worldwide over the coming decades. Methane-oxidizing bacteria (MOB) consume a significant fraction of this sedimentary methane, but the factors that control their distributions and activities are not understood. By combining genetic approaches (pmoA, 16S rRNA gene, metagenomics) with geochemical and sedimentological analyses, we investigate the role of trophic state, electron acceptors, oxygen (O2) and methane fluxes, and potential methylotrophic partner organisms in driving the distributions, abundances, and community compositions of MOB across five lakes in central Switzerland. Although methane fluxes were highest in the eutrophic lakes, methanotrophic abundances peaked in oxic and anoxic sediments of an oligotrophic lake. In all lakes, Type I gammaproteobacterial Methylococcaceae dominated oxic and suboxic bottom water and surface sediments, showing strong correlations with abundances of putatively methylotrophic Methylophilaceae, whereas Type II alphaproteobacterial Methylocystaceae increased in deeper, anoxic sediment layers. Methanotrophic bacteria belonging to the NC10 phylum were predominantly detected within denitrifying sediment of the oligotrophic lake, matching their presumed nitrite-dependent lifestyle. While dominant MOB taxa at the genus-level follow vertical distributions of different aerobic and anaerobic respiration reactions, trophic state at the time of sediment deposition was the best predictor of MOB community structure at the operational taxonomic unit (OTU) level. Elevated methane fluxes combined with low MOB abundances in surface sediments of eutrophic lakes, moreover, support the notion that in eutrophic lakes a major portion of sedimentary methane bypasses the biological methane filter and escapes to overlying water.