Miracle-dz/UniFAR-FTUs huggingface dataset:
PERSISTENT WELL-BEING REGARDING A SOUND RESEARCH FACILITY IS INDICATIVE

: The patient's physiological state is not totally subject to the mixing of at least one substance; in the example, the same number of unsystematic elements may change. Therefore, the results obtained are not an indicator of the patient's condition. Cyclic changes, physical action, stress and different elements influence the study of the results obtained. Our current research was conducted at Services Hospital, Lahore from November 2018 to October 2019. Details must be taken into account when understanding the results, otherwise they will be deciphered as pathological, resulting in an incorrect ending. Improving quality and reducing errors is a fundamental part of laboratory diagnosis. The pre-exposure stage is prone to blunders, as it has recently been shown that most of these errors occur at the prelogical stage. Pre-survey errors have decreased due to advances in computerization. The Demonstration Research Centre occupies a central position in an exceptionally powerful segment of medical services and in the race to improve well-being. A ton of research projects are planned to improve the analytical framework. Improved diagnostics at the research centers refers to the institutionalization and untangling of laboratory strategy, the constant improvement of increasingly complex tests, the incredible progress in instrument innovation and the desire for a fully coordinated laboratory data framework. With computerization, it should be possible to assemble at least 40 surveys in a short period of time.
Measuring T Tauri star magnetic fields

Abstract Stellar magnetic fields including a strong dipole component are believed to play a critical role in the early evolution of newly formed stars and their circumstellar accretion disks. It is currently believed that the stellar magnetic field truncates the accretion disk several stellar radii above the star. This action forces accreting material to flow along the field lines and accrete onto the star preferentially at high stellar latitudes. It is also thought that the stellar rotation rate becomes locked to the Keplerian velocity near the radius where the disk is truncated. This paper reviews recent efforts to measure the magnetic field properties of low mass pre-main sequence stars, focussing on how the observations compare with the theoretical expectations. A picture is emerging indicating that quite strong fields do indeed cover the majority of the surface on these stars; however, the dipole component of the field appears to be alarmingly small. The current measurements also suggest that given their strong magnetic fields, T Tauri stars are somewhat faint in X-rays relative to what is expected from simple main sequence star scaling laws.
Security Challenges, Threat and Solutions for 5G Network for IoT

5G mobile broadband infrastructure creates various safety concerns. We must compare 5G Mobile Wi-Fi Networking to older mobile networks (4G). We'll start with 5G broadcaster characteristics, then 5G cellular security. We'll look at risks and security. The latest advancements in 5G mobile network security must be discussed, including device identification, network accessibility, data encryption, protection, and intrusion prevention. The 5G Mobile Wireless Network incorporates new security measures due to IoT, mMIMO, device-to-device communications, and software defined networks (SDN). Such innovations and research characterize 5G Mobile Wireless Security. Currently, new penetration detection technologies are necessary. A brief summary of 5G safety management is provided. For example, the Internet of Things (IoT) may leverage breakthrough technology concepts to provide great digital services internationally. SDN and NFV are common solutions that use cloud technologies like Smartphone Cloud Computing. Protecting future mobile communications advances and customers is important. Also discussed are SDN and NFV as well as consumer security. Concerns about 5G network security will be addressed in this study. 5G will provide pervasive network service, improved customer mobility, and low-cost device connection (e.g., IoT). Information technology, SDN, and NFV are crucial 5G accelerators. Aside from privacy problems, these innovations represent major safety dangers. This article also addresses 5G's data security challenges. We also discuss current and future 5G safety alternatives.
TCRM_A_255365 607..615

Yi Li* Yizhao Xie* Chengcheng Gong Yannan Zhao Jian Zhang Sheng Zhang Leiping Wang 1 She Chen Xichun Hu Biyun Wang 1Department of Medical Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, People’s Republic of China; 2Key Laboratory of Glycoconjugate Research Ministry of Public Health, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, People’s Republic of China
The benefits of traceability during software implementation

Original published in: Software and systems traceability for safety-critical projects : report from Dagstuhl Seminar 15162 / Cleland-Huang, Jane; Rayadurgam, Sanjai; Mäder, Patrick; Schäfer, Wilhelm. Wadern : Schloss Dagstuhl. 5 (2015), 4, p. 85-86. (Dagstuhl Reports : Dokumentationen zu Dagstuhl-Seminaren und Dagstuhl-Perspektiven-Workshops / Schloss Dagstuhl, Leibniz-Zentrum für Informatik. Wadern : Schloss Dagstuhl. 5 (2015), 4, p. 76-97. DOI: 10.4230/DagRep.5. 4.76)
A semi-analytic dynamical friction model that reproduces core stalling

We present a new semi-analytic model for dynamical friction based on Chandrasekhar's formalism. The key novelty is the introduction of physically motivated, radially varying, maximum and minimum impact parameters. With these, our model gives an excellent match to full N-body simulations for isotropic background density distributions, both cuspy and shallow, without any fine-tuning of the model parameters. In particular, we are able to reproduce the dramatic core-stalling effect that occurs in shallow/constant density cores, for the first time. This gives us new physical insight into the core-stalling phenomenon. We show that core stalling occurs in the limit in which the product of the Coulomb logarithm and the local fraction of stars with velocity lower than the infalling body tends to zero. For cuspy backgrounds, this occurs when the infalling mass approaches the enclosed background mass. For cored backgrounds, it occurs at larger distances from the centre, due to a combination of a rapidly increasing minimum impact parameter and a lack of slow moving stars in the core. This demonstrates that the physics of core-stalling is likely the same for both massive infalling objects and low-mass objects moving in shallow density backgrounds. We implement our prescription for dynamical friction in the direct summation code NBODY6 as an analytic correction for stars that remain within the Roche volume of the infalling object. This approach is computationally efficient, since only stars in the inspiralling system need to be evolved with direct summation. Our method can be applied to study a variety of astrophysical systems, including young star clusters orbiting near the Galactic Centre; globular clusters moving within the Galaxy; and dwarf galaxies orbiting within dark matter halos.
PART OF A SPECIAL ISSUE ON MATCHING ROOTS TO THEIR ENVIRONMENT Root cortical burden influences drought tolerance in maize

†Background and Aims Root cortical aerenchyma (RCA) increases water and nutrient acquisition by reducing the metabolic costs of soil exploration. In this study the hypothesis was tested that living cortical area (LCA; transversal root cortical area minus aerenchyma area and intercellular air space) is a better predictor of root respiration, soil exploration and, therefore, drought tolerance than RCA formation or root diameter. †Methods RCA, LCA, root respiration, root length and biomass loss in response to drought were evaluated in maize (Zea mays) recombinant inbred lines grown with adequate and suboptimal irrigation in soil mesocosms. †Key Results Root respiration was highly correlated with LCA. LCA was a better predictor of root respiration than either RCA or root diameter. RCA reduced respiration of large-diameter roots. Since RCA and LCA varied in different parts of the root system, the effects of RCA and LCA on root length were complex. Greater crown-root LCA was associated with reduced crown-root length relative to total root length. Reduced LCA was associated with improved drought tolerance. †Conclusions The results are consistent with the hypothesis that LCA is a driver of root metabolic costs and may therefore have adaptive significance for water acquisition in drying soil.
Domain Structure of Phage P4 (cid:97) Protein Deduced by Mutational Analysis

Bacteriophage P4 DNA replication depends on the product of the (cid:97) gene, which has origin recognition ability, DNA helicase activity, and DNA primase activity. One temperature-sensitive and four amber mutations that eliminate DNA replication in vivo were sequenced and located in the (cid:97) gene. Sequence analysis of the entire gene predicted a domain structure for the (cid:97) polypeptide chain (777 amino acid residues, M r 84,900), with the N terminus providing the catalytic activity for the primase and the middle part providing that for the helicase/nucleoside triphosphatase. This model was conﬁrmed experimentally in vivo and in vitro. In addition, the ori DNA recognition ability was found to be associated with the C-terminal third of the (cid:97) polypeptide chain. The type A nucleotide-binding site is required for P4 replication in vivo, as shown for (cid:97) mutations at G-506 and K-507. In the absence of an active DnaG protein, the primase function is also essential for P4 replication. Primase-null and helicase-null mutants retain the two remaining activities functionally in vitro and in vivo. The latter was demonstrated by trans complementation studies, indicating the assembly of active P4 replisomes by a primase-null and a helicase-null mutant. Bacteriophage
A Review Paper on an Analysis of Misclassification Error Detection in Mails Using Data Mining Techniqes

— his research is to classify and filter the large amount of data. The main purpose of this research is to reduce the error rate of the data and to improve the accuracy. In the previous techniques of classification there may be some miss classification. But in this research the problem of misclassification is reduced. The work is presented by this research is some modifications in the classification technique. Therefore, it’s a good enterprise solution for filtering. This will optimize the system performance and make some improvements on the previous algorithm. This will give the better results from the previous one.
Debt Financing (cid:3)

We show that the predictions about the e(cid:11)ects of (cid:12)nancing the debt with taxes or in(cid:13)ation change when households react by changing their demand for money. In the model, the households change the optimal interval between bond trades to change the demand for money. In standard cash-in-advance models, the interval between trades is (cid:12)xed, which implies an inelastic demand for money in the long run. With optimal trading intervals, the demand for money is elastic and has a better (cid:12)t to the data. We (cid:12)nd that consumption decreases in similar magnitudes for (cid:12)xed or optimal time intervals for an increase of 10% in government purchases (cid:12)nanced with taxes. On the other hand, the decrease in consumption is much higher with optimal time intervals when the increase in government purchases is (cid:12)nanced with in(cid:13)ation. According to the model, (cid:12)nancing the increase in purchases with in(cid:13)ation implies a decrease in consumption of 3.4% with (cid:12)xed intervals, but a decrease in consumption of 21% with endogenous intervals. Moreover, the predicted welfare losses are much larger when the reaction of households is taken into account.
GAS6 IN ARDS PATIENTS: DETERMINATION OF PLASMA LEVELS AND INFLUENCE OF PEEP SETTING

Purpose : Growth arrest-specific protein 6 (Gas6) is a vitamin K-dependent protein expressed by endothelial cells and leukocytes participating in cell survival, migration and proliferation and involved in many pathological situations. The aim of our study was to assess its implication in acute respiratory distress syndrome (ARDS) and its variation according to positive end expiratory pressure (PEEP) setting, considering that different cyclic stresses could alter Gas6 plasma levels. Methods: Our patients were enrolled in the ExPress study comparing a minimal alveolar distension (“low PEEP”) ventilatory strategy to a maximal alveolar recruitment (“high PEEP”) strategy in ARDS. Plasma Gas 6, IL8 and VEGF levels were measured at day 0 and day 3 by enzyme-linked immunosorbent assay in blood samples prospectively collected during the study for a subset of 52 patients included in 8 centers during year 2005. Results: We found that Gas6 plasma level was elevated in the whole population at day 0: 106 ng/mL (77-139), (median, IQR), with significant correlations with IL8, the Simplified Acute Physiologic Score II and the Organ Dysfunction and Infection (ODIN) scores. Statistically significant decreases in Gas6 and IL 8 plasma levels were observed between day 0 and day 3 in the “high PEEP” group ( P =0.017); while there were no differences between day 0 and day 3 in the “low PEEP” group. Conclusions: Gas6 plasma level is elevated in ARDS patients. The “high PEEP” strategy is associated with a decrease in Gas6 and IL8 plasma levels at day 3, without significant differences in day 28 mortality between the 2 groups.
Objectively Measured Physical Activity and the Subsequent Risk of Incident Dysglycemia The Australian Diabetes, Obesity and Lifestyle Study

OBJECTIVE — To investigate pedometer-measured physical activity (PA) in 2000 and change in PA over 5 years with subsequent risk of dysglycemia by 2005. RESEARCH DESIGN AND METHODS — This prospective cohort study in Tasmania, Australia, analyzed 458 adults with normal glucose tolerance and a mean (SD) age of 49.7 (12.1) years in 2000. Variables assessed in 2000 and 2005 included PA, by pedometer and questionnaire, nutrient intake, and other lifestyle factors. Incident dysglycemia was de ﬁ ned as the de-velopment of impaired fasting glucose or impaired glucose tolerance revealed by oral glucose tolerance testing in 2005, without type 2 diabetes. RESULTS — Incident dysglycemia developed in 26 participants during the 5-year period. Higher daily steps in 2000 were independently associated with a lower 5-year risk of incident dysglycemia (adjusted odds ratio [AOR] 0.87 [95% CI 0.77 – 0.97] per 1,000-step increment). Higher daily steps in 2005, after controlling for baseline steps in 2000 (thus re ﬂ ecting change in steps over 5 years), were not associated with incident dysglycemia (AOR 1.02 [0.92 – 1.14]). Higher daily steps in 2000 were also associated with lower fasting blood glucose, but not 2-h plasma glucose by 2005. Further adjustment for BMI or waist circumference did not remove these associations. adults, a higher rate of daily steps is associated with a reduced risk of incident dysglycemia. This effect appears to be not fully mediated through reduced adiposity.
A SHORT-TERM SURVEY TO ASSESS LEPTIN, VITAMIN D, BONE AND FAT WEIGHT LEVELS AND TO DRAW A POSSIBLE CORRELATION AMONG BIOPHYSICAL FEATURES

: Objectives: The objective of the current research is to evaluate leptin, vitamin D in addition bone inorganic compactness heights in persons having greater fat weight, also to measure somewhat connection. Methods: This was a short-term survey research which remained led at Sir Ganga Ram Hospital, Lahore from February 2017 to December 2017. The research contained fit male helpers among eternities of 19-59 yrs. Physique fat ratio remained resolute practising bioelectrical impedance examination also contributors remained confidential as Set A (16-22.8); Set B (23-28.7); also Set C (>27). Bone inorganic thickness remained considered through ultrasound bone densitometer (T-notch among +2 besides 1 measured standard). Enzyme-connected immunosorbent examines tackles remained practised to govern stages of vitamin D also leptin. SPSS remained practised for numerical study. Results: Altogether 140 main contributor contributed to the research study, having a piece of 3 sets with 45(34.4%). Regardless of altogether sets with little Vitamin D, the noticeable reduction remained detected in set C associated to sets A also B (p <0.019). Bone inorganic thickness T-score remained <-2; whole calcium remained inside standard series in altogether 3 sets. Serum leptin remained raised up in Set C associated to set A also B (p=0.04). Body fat proportion remained depressingly connected by vitamin D (p=0.005; r = -0.352), whereas it remained absolutely connected by leptin (p =0.039; r = 0.257). Conclusion: Additional body fat proportion directed to reduced vitamin D also elevated leptin. Though, bone inorganic thickness also calcium stages remained inside standard assortment, signifying that extra influences may have acted the character in keeping the bone figure in overweight persons, just like leptin.
CaCu3Ti4O12: One-step internal barrier layer capacitor

There has been much recent interest in a so-called “giant-dielectric phenomenon” displayed by an unusual cubic perovskite-type material, CaCu3Ti4O12; however, the origin of the high permittivity has been unclear [M. A. Subramanian, L. Dong, N. Duan, B. A. Reisner, and A. W. Sleight, J. Solid State Chem. 151, 323 (2000); C. C. Homes, T. Vogt, S. M. Shapiro, S. Wakimoto, and A. P. Ramirez, Science 293, 673 (2001); A. P. Ramirez, M. A. Subramanian, M. Gardel, G. Blumberg, D. Li, T. Vogt, and S. M. Shapiro, Solid State Commun. 115, 217 (2000)]. Impedance spectroscopy on CaCu3Ti4O12 ceramics demonstrates that they are electrically heterogeneous and consist of semiconducting grains with insulating grain boundaries. The giant-dielectric phenomenon is therefore attributed to a grain boundary (internal) barrier layer capacitance (IBLC) instead of an intrinsic property associated with the crystal structure. This barrier layer electrical microstructure with effective permittivity values in excess of 10 000 can be fa.
I DENTIFICATION OF C ONSUMER ’ S P REFERENCE TOWARDS S TORE I MAGE : U SING A NALYTICAL H IERARCHICAL P ROCESS T ECHNIQUE

This study aims to identify consumer preferences for store image using the Analytic Hierarchy Process. Analytic Hierarchy Process is a Multiple Attribute Decision-Making technique used to observe, rank, and select a set of options under contradictory characteristics. Consumer preference refers to the individual's behavior when purchasing, consuming, or disposing of any specific product or service. Multiple factors can affect these behaviors. The store's attractive features are the factor affecting store image, dimension, and sub-dimension of store image. Data were collected from 29 experts. Experts are selected based on their experience of shopping in a shopping mall in Pakistan and industry. A bipolar questionnaire was used to collect data. This study explored the main dimensions of store image: convenience, price, quality, atmosphere, and safety. Further, the study's findings indicate that these dimensions of store image are important for marketers, which provides awareness regarding the psychological elements of customers that influence their perception of store image and helps the marketer recognize and forecast the customer's demand.
Evaluating the Shortcomings of Edge Detection Operators

— Edge detection is the procedure of identifying and tracing sharp discontinuities in an image. The discontinuities are sudden changes in pixel intensity which describe boundaries of objects in a scene. The reason for that is that edges form the outline of an object. A benefit could be the linking a thing and the backdrop and shows the boundary between overlying objects. Image edge detection also decreases the amount of data and filters out inadequate information, while maintaining the important structural properties in an image. Edge detection is found in various fields like image analysis and pattern recognition. This paper describes the various edge detection techniques along with discussing their advantages and limitations. The techniques discussed here are Roberts operator, Sobel operator, Prewitt's cross operator, Laplacian, Laplacian of Guassian and Canny's edge detection.
Estimation of discretely sampled continuous diffusion processes with application to short-term interest rate models

Stochastic Differential Equations (SDE’s) are commonly found in most of the modern finance used today. In this dissertation we use SDE’s to model a random phenomenon known as the short-term interest rate where the explanatory power of a particular short-term interest rate model is largely dependent on the description of the SDE to the real data. The challenge we face is that in most cases the transition density functions of these models are unknown and therefore, we need to find reliable and accurate alternative estimation techniques. In this dissertation, we discuss estimating techniques for discretely sampled continuous diffusion processes that do not require the true transition density function to be known. Moreover, the reader is introduced to the following techniques: (i) continuous time maximum likelihood estimation; (ii) discrete time maximum likelihood estimation; and (iii) estimating functions. We show through a Monte Carlo simulation study that the parameter estimates obtained from these techniques provide a good approximation to the estimates obtained from the true transition density. We also show that the bias in the mean reversion parameter can be reduced by implementing the jackknife bias reduction technique. Furthermore, the data analysis carried out on South-African interest rate data indicate strongly that single factor models do not explain the variability in the short-term interest rate. This may indicate the possibility of distinct jumps in the South-African interest rate market. Therefore, we leave the reader with the notion of incorporating jumps into a SDE framework.
Unsupervised Representation Learning in Atari

In this study, we reproduced the paper "Unsupervised Representation Learning in Atari" as part of the NeurIPS 2019 Reproducibility Challenge. The original paper presents ST-DIM, or Spatiotemporal Deep Infomax, which is an unsupervised method for learning useful state representations. ST-DIM attempts to learn an encoding that maximizes shared information between sequential game frames. The authors propose that this method allows for more effective learning of meaningful environmental features, such as the game state variables of Atari games. We review the authors’ goals, claims, and results. We also discuss our process, challenges encountered, and results of our work