Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced Nanodrug Delivery to Solid Tumors Based on a Tumor Vasculature‐Targeted Strategy

Tumor angiogenesis is a hallmark of tumor growth and metastasis, and inhibition of tumor angiogenesis is an effective strategy for tumor therapy. The high expression levels of specific biomarkers such as integrin receptors (e.g., αvβ3) in the endothelium of tumor vessels make angiogenesis an ideal target for drug delivery and thus tumor therapy. Herein, a new nanodrug (T&D@RGD‐Ag2S) is presented, which can effectively inhibit tumor growth by integrating the specific recognition peptide cyclo(Arg‐Gly‐Asp‐d‐Phe‐Cys) (cRGD) for tumor vascular targeting, the broad‐spectrum endothelial inhibitor O‐(chloroacetyl‐carbamoyl) fumagillol (TNP‐470), and chemotherapeutic drug doxorubicin (DOX) for synergetic tumor therapy. The results show that the T&D@RGD‐Ag2S nanodrug rapidly and specifically binds to the tumor vasculature after intravenous injection. Tumor vascular density is greatly reduced following effective angiogenesis inhibition by TNP‐470. Meanwhile, increased delivery of DOX deep into the tumor induces extensive tumor apoptosis, resulting in remarkable tumor growth inhibition in a human U87‐MG malignant glioma xenograft model. In addition, the therapeutic effects of T&D@RGD‐Ag2S on inhibiting tumor growth and decreasing vessel density are monitored in situ using near‐infrared II (NIR‐II) fluorescence imaging of Ag2S quantum dots. This tumor vasculature‐targeted strategy can be extended as a general method for treating a broad range of tumors and holds promise for future clinical applications.
Cells from Vinblastine Toxicity Brain-derived Neurotrophic Factor Protects Neuroblastoma

Brain-derived neurotrophic factor (BDNF) and its receptors are nec essary for the survival and development of many neuronal cells. Because BDNF and TrkB are expressed in many poor-prognosis neuroblastoma (NB) tumors, we evaluated the role of BDNF in affecting sensitivity to chemotherapeutic agents. We investigated the effects of activation of the BDNF-TrkB signal transduction pathway in two NB cell lines, 15N and SY5Y. 15N cells lack the high-affinity receptor pl45TrkB and express BDNF; 15N cells were used along with 15N-TrkB cells, a subline transfected with a TrkB expression vector. In cytotoxicity assays, 15N-TrkB cells were consistently 1.4-2-fold more resistant to vinblastine than 15N cells. Drug accumulation assays showed a 50% reduction in [3H]vinblastine accumulation in 15N-TrkB cells compared with control 15N cells. Addition of 30 ng/ml BDNF resulted in a reduction to 46% of control in 15N cells and a reduction to 28% of control in I5N-11 kit cells. SY5Y cells were chosen as a second model because they lack both endogenous BDNF and TrkB expression. pl45TrkB expression is induced by l UM retinole acid. Vinblastine accumulation was not significantly affected by 1 IIM retinoic acid in SY5Y cells. Addition of 30 ng/ml BDNF decreased I'll |\ iublastine accumulation to 58% of control in SYS Y cells and decreased I'll |\hil>lasliiu> accumulation to 62% of control in TrkB-expressing SY5Y cells. Although an increase in BDNF expression is seen in multidrugresistant sublines of SY5Y and BE(2)-C NB cells, the protective effect of BDNF in vinblastine toxicity may be unrelated to mdr-l, because the activity of other agents transported by P-glycoprotein was not affected. There was no increase in mdr-\ expression in 1 nM RA SY5Y cells and 15V I rkli cells, as assessed by Northern blot analysis. In addition to the effects of BDNF on vinblastine cytotoxicity and accumulation, there was an inhibition in the ability of vinblastine to depolymerize tubulin in BDNF-treated cells. Thus, BDNF and TrkB may partially rescue NB cells from vinblastine toxicity and thereby may contribute to a more chemoresistant phenotype.
Graph-Convolutional Neural Networks for Hydrocarbons Kinetics Predictions

We propose to predict the kinetics of the pyrolysis of hydrocarbons using Graph Convolutional Neural Networks. Pyrolysis of hydrocarbons is a complex chemical process involving thousands of different molecules and of different reactions, making it hard for a simple model to predict its time evolution. Commonly, time evolution is predicted using simulations called Molecular Dynamics (MD), but these simulations involve computing the movement of each atom and their interactions with each other, making this process computationally expensive. Recently, data-driven approaches using the output of these simulations have been developed to accelerate the prediction of the evolution of the system. These data-driven methods use techniques such as Kinetic Monte Carlo [1], PDE-approximation [2], or Machine Learning [3]. However, to our knowledge, no work has been done using the powerful framework of Graph Convolutional Neural Networks (GCNN) to predict chemical kinetics. Indeed, this graphical approach is particularly well suited for describing molecules and crystals, which has resulted in growing interest in the chemistry community over the last few years [4, 5, 6].
Validation of Permafrost Active Layer Estimates from Airborne SAR Observations

In permafrost regions, active layer thickness (ALT) observations measure the effects of climate change and predict hydrologic and elemental cycling. Often, ALT is measured through direct ground-based measurements. Recently, synthetic aperture radar (SAR) measurements from airborne platforms have emerged as a method for observing seasonal thaw subsidence, soil moisture, and ALT in permafrost regions. This study validates airborne SAR-derived ALT estimates in three regions of Alaska, USA using calibrated ground penetrating radar (GPR) geophysical data. The remotely sensed ALT estimates matched the field observations within uncertainty for 79% of locations. The average uncertainty for the GPR-derived ALT validation dataset was 0.14 m while the average uncertainty for the SAR-derived ALT in pixels coincident with GPR data was 0.19 m. In the region near Utqiaġvik, the remotely sensed ALT appeared slightly larger than field observations while in the Yukon-Kuskokwim Delta region, the remotely sensed ALT appeared slightly smaller than field observations. In the northern foothills of the Brooks Range, near Toolik Lake, there was minimal bias between the field data and remotely sensed estimates. These findings suggest that airborne SAR-derived ALT estimates compare well with in situ probing and GPR, making SAR an effective tool to monitor permafrost measurements.
The Limits of Virtual Work ” , July 2007 ANTECEDENTS OF TRUST IN TEAMS WITH DIFFERENT VIRTUALITY LEVELS . A LONGITUDINAL STUDY 1

Research has analyzed the effects of Communication and Information Technologies (ICTs) on trust development in groups. The results obtained in these studies point out that it is still unclear what the antecedents of group trust in technology-enabled communication and collaboration environments are. This paper addresses the question of which antecedents predict trust development in teams with different virtuality levels. The aim is to study the influence of group potency and group task commitment on trust development in different virtuality levels. A laboratory experiment was carried out with groups randomly assigned to the two virtuality levels (videoconference and computer-mediated communication) and a control condition (face to face communication). The results showed that group task commitment and group potency improve trust development in the high virtuality level teams over time. However, group potency increases group trust only in the first group work session in teams with a middle virtuality level (videoconference).
Phase equilibrium and cage occupancy calculations of carbon dioxide hydrates using ab initio intermolecular potentials

Srinath Chowdary Velaga Huge deposits of carbon is trapped in the form of methane gas hydrates, these methane gas hydrates represent a potential energy source that could possibly last for thousands of years. Gas hydrate reservoirs are receiving increased attention as potential locations for CO2 sequestration, with CO2 replacing the methane that is recovered as an energy source. In this scenario it is very important to correctly characterize the cage occupancies of CO2 to correctly assess the sequestration potential as well as the methane recoverability. In order to predict accurate cage occupancies, the guest-host interaction potential must be represented properly. Earlier, these potential parameters were obtained by fitting to experimental data and these fitted parameters do not match with those obtained by second virial coefficient or gas viscosity data. Ab initio quantum mechanical calculations provide an independent means to directly obtain accurate intermolecular potentials. A potential energy surface (PES) between H2O and CO2 was computed at the MP2/aug-cc-pVTZ level and corrected for basis set superposition error (BSSE), an error caused due to the lower basis set, by using 0.361 of the full counterpoise and 0.639 of the uncorrected energy correction. Intermolecular potentials were obtained by fitting Exponential-6 and Lennard-Jones 6-12 models to the ab initio PES, correcting for many-body interactions. Reference parameters for structure I carbon dioxide hydrate has been calculate with this site-site ab initio intermolecular potentials as ∆ = 1204 3 J/mol and ∆ = 1189 12 J/mol. The pure CO2 hydrate equilibrium pressure was predicted with an average absolute deviation of less than 2% from the experimental data. Predictions of the small cage occupancy ranged from 22-38% and the hydration number for the CO2 hydrate was calculated to be above 7.0, whereas the large cage is more than 98% occupied. Cell potential parameters, the potential well depths and volumes of negative energy, have been found for carbon dioxide hydrate system from the center-well solution. The Langmuir constants are computed from the ab initio site-site intermolecular potentials. These Cell potential parameters can be used to predict the mixed hydrate properties for carbon dioxide with other guest molecule.
Topical Review: Perceptual-cognitive Skills, Methods, and Skill-based Comparisons in Interceptive Sports

SIGNIFICANCE We give a comprehensive picture of perceptual-cognitive (PC) skills that could contribute to performance in interceptive sports. Both visual skills that are low level and unlikely influenced by experience and higher-level cognitive-attentional skills are considered, informing practitioners for identification and training and alerting researchers to gaps in the literature. Perceptual-cognitive skills and abilities are keys to success in interceptive sports. The interest in identifying which skills and abilities underpin success and hence should be selected and developed is likely going to grow as technologies for skill testing and training continue to advance. Many different methods and measures have been applied to the study of PC skills in the research laboratory and in the field, and research findings across studies have often been inconsistent. In this article, we provide definitional clarity regarding whether a skill is primarily visual attentional (ranging from fundamental/low-level skills to high-level skills) or cognitive. We review those skills that have been studied using sport-specific stimuli or tests, such as postural cue anticipation in baseball, as well as those that are mostly devoid of sport context, considered general skills, such as dynamic visual acuity. In addition to detailing the PC skills and associated methods, we provide an accompanying table of published research since 1995, highlighting studies (for various skills and sports) that have and have not differentiated across skill groups.
Corpus Luteum Morphology and Function After Timed Artificial Insemination (TAI) in Nelore Heifers Supplemented with Sunflower Seed in their Diets 

Corresponding Author: Caliê Castilho Universidade do Oeste PaulistaUnoeste-Presidente PrudenteSP, Brasil Email: calie@unoeste.br Abstract: The dietary Polyunsaturated Fatty Acids (PUFA) supplementation, before the Timed Artificial Insemination (TAI) protocol, may contribute to a reduction in embryonic mortality. In this context, we hypothesized that dietary supplementation with sunflower seed, before the TAI protocol, will promote an increase in the ovulatory Follicle Diameter (FD), with a consequent increase in the Corpus Luteum Diameter (CLD) and the plasma concentration of Progesterone (P4) in the subsequent diestrum. We evaluated the effect of sunflower seed supplementation, prior to TAI, on the ovulatory FD, CLD, lipid profile and plasma P4 concentration of both pregnant and non-pregnant Nelore heifers. Thirty heifers of 24-36 months old, kept on pasture with water and mineral salt ad libitum, were divided into two groups. The heifers received a 1.7 kg/day supplement containing 53% soybean meal and 47% corn (control group, n = 15) or 40% soybean meal and 60% sunflower seed (sunflower seed group, n = 15) for 56 days. All heifers received the TAI protocol 24 h after the final supplementation. At the time of TAI (D0), the ovaries of all animals were evaluated by ultrasound examinations to determine the FD. Every 48 h for 26 days, the CLD was measured using ultrasound. Blood samples were collected for P4 determinations (except on D8, D20 and D24) and total cholesterol, triglycerides, High-Density Lipoprotein cholesterol (HDL) and Low-density Lipoprotein Cholesterol (LDL), analyses were conducted on D0 and D21. There was no effect of sunflower seed supplementation on mean FD on TAI day, CLD and P4 concentration or lipid profile after TAI in pregnant or non-pregnant heifers. In conclusion, sunflower seed supplementation for 56 days preceding TAI did not change the FD, CLD, P4 concentration, or lipid profile in Nelore heifers.
Some remarks about Dependent Type Theory

The goal of this paper is to describe a calculus designed in 84/85 [18] and later presented in [27]. This calculus was obtained by applying the ideas introduced by N.G. de Bruijn [29, 30] for AUTOMATH to some functional systems created by J.-Y. Girard [37]. There was also strong connections with the work of P. Martin-Löf [58, 60]. One aspect of this calculus is that it provided quite simple uniform notations for proofs and (functional) programs. Because of this simplicity and uniformity, it was possible to use it for analysing logical problems such as impredicativity [73, 74], paradoxes [19, 25, 22, 7], but also notions of computer science such as parametricity [9, 3]. It could also be used as the basis of implementations of proof and functional systems [26], arguably simpler, or at least competitive, with the ones that were available at the time [43, 16, 69]. One main theme of this work is the importance of notations in mathematics and computer science: new questions were asked and solved only because of the use of AUTOMATH notation, itself a variation of λ-notation introduced by A. Church [14, 54] for representing functions.
Ultra-low phase noise microwave generation with a free-running monolithic femtosecond laser

Phase noise performance of photonic microwave systems, such as optical frequency division (OFD), can surpass state-of-the-art electronic oscillators by several orders of magnitude. However, high-finesse cavities and active stabilization requirements in OFD systems make them complicated and potentially unfit for field deployment. Ultra-low noise mode-locked monolithic lasers offer a viable alternative for a compact and simple photonic microwave system. Here we present a free-running monolithic laser-based 8 GHz microwave generation with ultra-low phase noise performance comparable to laboratory OFD systems. The measured noise performance reached −130 dBc/Hz at 100 Hz, – 150 dBc/Hz at 1 kHz, and –167 dBc/Hz at 10 kHz offsets from the 8-GHz carrier. We also report a sub-Poissonian noise floor of −179 dBc/Hz above 30 kHz (timing noise floor of 32 zs Hz−1/2), which is ∼12 dB below the noise floor of time-invariant shot noise. In addition to the low phase noise, the system is compact, with a power consumption of less than 9 W, and offers excellent potential for mobile or space-borne applications. © 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Mechanisms of Electron-Beam-Induced Damage in Perovskite Thin Films Revealed by Cathodoluminescence Spectroscopy

Electron-beam-induced damages in methylammonium lead triiodide (MAPbI3) perovskite thin films were studied by cathodoluminescence (CL) spectroscopy. We find that high-energy electron beams can significantly alter perovskite properties through two distinct mechanisms: (1) defect formation caused by irradiation damage and (2) phase transformation induced by electron-beam heating. The former mechanism causes quenching and broadening of the excitonic peaks in CL spectra, whereas the latter results in new peaks with higher emission photon energy. The electron-beam damage strongly depends on the electron-beam irradiation conditions. Although CL is a powerful technique for investigating the electronic properties of perovskite materials, irradiation conditions should be carefully controlled to avoid any significant beam damage. In general, reducing acceleration voltage and probing current, coupled with low-temperature cooling, is more favorable for CL characterization and potentially for other scanning electron-b.
Population Stress Reactions in North-East Hungary during the Pandemic

Emergency caused by the SARS-CoV-2 has provoked several difficulties in daily life. On the other hand, it provided an opportunity to produce new attitudes toward our life and community, but also forced us to face our vulnerabilities. Outbreak of the SARS-CoV-2 highlighted that despite our vulnerability, we can manage this crisis, by being able to influence our stress reaction as well as our fears and emotions about the pandemic. Faculty of Healthcare of the University of Miskolc is training such professionals, whose priority task is to preserve the mental health of individuals and communities, reduce stress reactions, increase the available information on the subject, and help the community to adapt adequately to unexpected difficulties, like a pandemic situation. In the present study, we examined the mental state of the population of Northeastern Hungary in the second wave to adapt the above-described education to the ongoing changes caused by the pandemic. During the research, we applied an online questionnaire, that included the Hungarian version of the 10-item Perceived Stress Scale-, the Adult Hope Scale-, the WHO Well-Being, and the Buss Perry aggression questionnaire. Most participants (n=528) live in small towns or villages and their average age is 39.4±13.1. The aggression level of responders did not reach the threshold, but the level of verbal aggression exceeded it. The participants were more stressed, but they thought they could handle their problems. Consequently, the pandemic harms the mental state and health of the population, therefore the presence of health professionals is needed.
Influence of silicone oil thermal modification on mechanical properties of Masson pine wood

In this study, the effect of silicone oil thermal modification at different treatment temperatures (150 oC, 180 oC and 210 oC for 2 h and 4 h.) on the mechanical properties of Masson pine (Pinus massoniana L.) wood was investigated. The density, modulus of elasticity (MOE), modulus of rupture (MOR), impact bending, compressive strength, and hardness of silicone oil thermal treated samples were evaluated and compared with those of untreated samples. Results showed the mechanical properties of Masson pine wood reduces after silicone oil thermal modification. The higher the modification temperature, the lower the mechanical properties of Mason pine wood. At 210 oC for 4 h, mechanical properties of the modified samples were two times lower than the mechanical properties of the untreated. Higher modification temperature and longer treatment time contributed to lower mechanical properties.
Risk measures and portfolio construction in different economic scenarios

This paper compared the composition and performance of portfolios constructed by employing different risk measures utilizing the Malaysian share market data in three diverse economic scenarios. The risk measures considered were the mean-variance (MV) and their alternatives; the semi-variance (SV), mean absolute deviation (MAD) and conditional value at risk (CVAR). The data were divided into three sub-periods representing the growth period in the economy, financial crisis and the recovery period. The results of this study showed different optimal portfolios’ performances and compositions for the three economic periods. Nevertheless, among the risk models tested, CVAR(0.99) model gave the highest portfolio skewness. High skewness means that the probability of getting large negative returns is decreased. As a conclusion, for the Malaysian stock market, the CVAR(0.99) model is the most appropriate portfolio optimization model for downside risk aversion investors in all three economic scenarios.
The State of the Art : What Have We Accomplished in the Last 10 Years of Cost Estimation Research ?

In 1992, “Recent Advances in Software Estimation Techniques” by Richard E. Fairley described the state of software cost estimating as it existed at the time, obviously expecting steady growth and improvement in the field. In 2003, “Three Great Challenges for Half-Century-Old Computer Science” by Frederick P. Brooks, Jr stated that “. we still don’t know what we are doing [to estimate] unless it is very similar to something we have done before. ” In the 10 years in between these articles, much research was done on cost estimating, but in many ways the field has changed little. This article surveys the activities of the last 10 years and the current state relative to the 1992 article, then discusses why the expected progress did not occur.
A novel capillary microplasma analytical system: interface-free coupling of glow discharge optical emission spectrometry to capillary electrophoresis

It was found that a capillary electrophoresis (CE) process can be induced by starting a low-temperature d.c. liquid-electrode glow discharge (GD). A novel capillary microplasma analytical system (C-μPAS) was constructed by interface-free coupling of d.c. glow discharge optical emission spectrometry (GD-OES) to CE and was applied in elemental (speciation) analysis. A GD was generated at one end of a capillary, and initiated not only a capillary electrophoresis process but also a microplasma; a sample was injected at the other end of the capillary, separated by CE, and detected by GD-OES. This portable C-μPAS integrates introduction of the sample, separation of the analyte species, and detection of the analytical signal into one unit. The performance of this new analytical system was first evaluated by the analysis of a mixed aqueous solution of mercury, cadmium, chromium, sodium and organic or inorganic species without derivatization, and the absolute limits of detection (LODs) were found to be in the range of 0.5 to 500 picograms under the optimized experimental conditions. Preliminary experimental results for mercury speciation showed that it provided effective separation and results as accurate as those obtained by HPLC-ICP-MS. The working mechanism of this system is discussed, with the theoretically calculated electron temperature and electron density of the microplasma. This C-μPAS has the advantages of portable instrumentation, green chemistry (low power consumption, tiny sampling volume and almost no pollutants), high sensitivity (detection of optical emissions), low interference (separation by CE and spectral resolution), versatility (organic, inorganic, cationic or anionic analytes), and fast analysis (several minutes). It should have a very promising future in a range of areas such as environmental analysis, metallomics research, water analysis, online monitoring and field analytical chemistry.