Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-Aggregation, Antimicrobial Activity and Cytotoxicity of Ester-Bonded Gemini Quaternary Ammonium Salts: The Role of the Spacer

Five ester-bonded gemini quaternary ammonium surfactants C12-En-C12 (n = 2, 4, 6), with a flexible spacer group, and C12-Bm-C12 (m = 1, 2), with rigid benzene spacers, were synthesized via a two-step reaction and analyzed. Furthermore, the effects of the spacer structure, spacer length and polymerization degree on the self-aggregation, antimicrobial activity and cytotoxicity of C12-En-C12 and C12-Bm-C12 and their corresponding monomer N-dodecyl-N,N,N-trimethyl ammonium chloride DTAC were investigated. The results showed that C12-En-C12 and C12-Bm-C12 had markedly lower critical micellar concentration (CMC) values and lower surface tension than DTAC. Moreover, the CMC values of C12-En-C12 and C12-Bm-C12 decreased with increasing spacer length. In the case of equivalent chain length, the rigidity and steric hindrance of phenylene and 1,4-benzenediyl resulted in larger CMC values for C12-Bm-C12 than for C12-En-C12. The antibacterial ability of C12-En-C12 and C12-Bm-C12 was assessed using Escherichia coli (E. coli) and Staphylococcus albus (S. aureus) based on minimum inhibitory concentrations (MICs). Furthermore, C12-En-C12 and C12-Bm-C12 exhibited higher antimicrobial activity than DTAC and had stronger function toward S. aureus than E. coli. The antimicrobial activity was enhanced by increasing the spacer chain length and decreased with the increased rigidity of the spacers. The cytotoxic effects of C12-En-C12 and C12-Bm-C12 in cultured Hela cells were evaluated by the standard CCK8 method based on half-maximal inhibitory concentration (IC50). The cytotoxicity of C12-En-C12 and C12-Bm-C12 was significantly lower than alkanediyl-α,ω-bis(dimethyldodecylammonium) bromide surfactants and DTAC. The spacer structure and the spacer length could induce significant cytotoxic effects on Hela cells. These findings indicate that the five ester-bonded GQASs have stronger antibacterial activity and lower toxicity profile, and thus can be used in the pharmaceutical industry.
Dramatic Recovery of Vision after Trastuzumab Deruxtecan Treatment of HER2-Positive Breast Cancer with Pituitary Metastasis

In recent years, both the number of patients with breast cancer and those with associated brain metastases (BMs) have increased. Human epidermal growth factor receptor 2 (HER2)-positive breast cancer has a high BM frequency. The prognosis of BM from breast cancer is poor, and establishing effective treatment for this disease is essential. We report a HER2-positive patient with multiple BM and right-eye blindness due to pituitary metastasis. She responded promptly to trastuzumab deruxtecan (T-DXd) in the 5th line of treatment, which shrunk the tumors and restored vision. Although the Graded Prognostic Assessment (GPA) predicted survival of 13 months, the patient recovered well after treatment and continued T-DXd use with no progression, including vision loss at 22 months after treatment initiation. This case demonstrates the successful action of T-DXd in the face of multiple BM and poorly predicted outcomes.
Non-Perturbative Aspects of QuantumField Theory:From the Quark-Gluon Plasma toQuantum Gravity

In this dissertation we investigate several aspects of non-perturbative quantum field theory. Two main parts of the thesis are concerned with non-perturbative renormalization of quantum gravity within the asymptotic safety scenario. This framework is based on a non-Gaussian ultraviolet fixed point and provides a well-defined theory of quantized gravity. We employ functional renormalization group (FRG) techniques that allow for the study of quantum fields even in strongly coupled regimes. We construct a setup for the computation of graviton correlation functions and analyze the ultraviolet completion of quantum gravity in terms of the properties of the two- and three point function of the graviton. Moreover, the coupling of gravity to Yang–Mills theories is discussed. In particular, we study the effects of graviton induced interactions on asymptotic freedom on the one hand, and the role of gluonic fluctuations in the gravity sector on the other hand. The last subject of this thesis is the physics of the quark-gluon plasma. We set-up a general non-perturbative strategy for the computation of transport coefficients in non-Abelian gauge theories. We determine the viscosity over entropy ratio in SU(3) Yang–Mills theory as a function of temperature and estimate its behavior in full quantum chromodynamics (QCD).
Cardiovascular measures display robust phenotypic stability across long-duration intervals involving repeated sleep deprivation and recovery

Introduction We determined whether cardiovascular (CV) measures show trait-like responses after repeated total sleep deprivation (TSD), baseline (BL) and recovery (REC) exposures in two long-duration studies (total N = 11 adults). Methods A 5-day experiment was conducted twice at months 2 and 4 in a 4-month study (N = 6 healthy adults; 3 females; mean age ± SD, 34.3 ± 5.7 years; mean BMI ± SD, 22.5 ± 3.2 kg/m2), and three times at months 2, 4, and 8 in an 8-month study (N = 5 healthy adults; 2 females; mean age ± SD, 33.6 ± 5.17 years; mean BMI ± SD, 27.1 ± 4.9 kg/m2). Participants were not shift workers or exposed to TSD in their professions. During each experiment, various seated and standing CV measures were collected via echocardiography [stroke volume (SV), heart rate (HR), cardiac index (CI), left ventricular ejection time (LVET), and systemic vascular resistance index (SVRI)] or blood pressure monitor [systolic blood pressure (SBP)] after (1) two BL 8h time in bed (TIB) nights; (2) an acute TSD night; and (3) two REC 8–10 h TIB nights. Intraclass correlation coefficients (ICCs) assessed CV measure stability during BL, TSD, and REC and for the BL and REC average (BL + REC) across months 2, 4, and 8; Spearman’s rho assessed the relative rank of individuals’ CV responses across measures. Results Seated BL (0.693–0.944), TSD (0.643–0.962) and REC (0.735–0.960) CV ICCs showed substantial to almost perfect stability and seated BL + REC CV ICCs (0.552–0.965) showed moderate to almost perfect stability across months 2, 4, and 8. Individuals also exhibited significant, consistent responses within seated CV measures during BL, TSD, and REC. Standing CV measures showed similar ICCs for BL, TSD, and REC and similar response consistency. Discussion This is the first demonstration of remarkably robust phenotypic stability of a number of CV measures in healthy adults during repeated TSD, BL and REC exposures across 2, 4, and 8 months, with significant consistency of responses within CV measures. The cardiovascular measures examined in our studies, including SV, HR, CI, LVET, SVRI, and SBP, are useful biomarkers that effectively track physiology consistently across long durations and repeated sleep deprivation and recovery.
Enhancing adversarial robustness of quantum neural networks by adding noise layers

The rapid advancements in machine learning and quantum computing have given rise to a new research frontier: quantum machine learning. Quantum models designed for tackling classification problems possess the potential to deliver speed enhancements and superior predictive accuracy compared to their classical counterparts. However, recent research has revealed that quantum neural networks (QNNs), akin to their classical deep neural network-based classifier counterparts, are vulnerable to adversarial attacks. In these attacks, meticulously designed perturbations added to clean input data can result in QNNs producing incorrect predictions with high confidence. To mitigate this issue, we suggest enhancing the adversarial robustness of quantum machine learning systems by incorporating noise layers into QNNs. This is accomplished by solving a Min-Max optimization problem to control the magnitude of the noise, thereby increasing the QNN’s resilience against adversarial attacks. Extensive numerical experiments illustrate that our proposed method outperforms state-of-the-art defense techniques in terms of both clean and robust accuracy.
Number and content of personality types across methods and samples: Empirically filling the theoretically developed map of RUNO typology

: Personality types are currently understood as basic configurations of personality traits from the Big Five model. However, to date, research has provided inconsistent results as to the number and content of personality types. The broadest support was found for the three-type RUO (Resilient-Undercontrolled-Overcontrolled) typology, but many studies indicate the existence of four or five basic personality types. The prevalence of an exploratory orientation in research on personality types was identified as the main cause of these inconsistencies, and the need for a well-justified theoretical basis for the personality typology was observed. The current study examines the predictions resulting from the four-type RUNO (Resilient-Undercontrolled-Nonresilient-Overcontrolled) typology – a proposal built on the Two Factor Model of personality and its extension: the Circumplex of Personality Metatraits. We used various measurement instruments (11 questionnaires to measure Big Five traits), samples (five samples with a total of 4430 respondents) and statistical procedures (cluster analyses on row and standardized data) testing the three-type, four-type and five-type solutions. We expected that although the robustness of the empirically derived type-solutions across different research conditions will be limited (in accordance with the previous studies), the configurations of each type found in the Big Five data will be in a concordance with the RUNO typology. Obtained results roughly confirmed our expectations. We conclude that a renewed focus on the theoretical basis of personality typology seems to be necessary to further advance this field of research and the Circumplex of Personality Metatraits enables the essential turn from an exploratory approach (usually used in the previous studies) to a theoretically driven approach (proposed by us in the current study) to personality typology.
Extrapolation, Interpolation, and Smoothing of Stationary Time Series, with Engineering Applications

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Formulation of functional mayonnaise with defatted wheat germ flour
 as egg yolk substitute: Rheological, textural and stability
 analyses

The aim of this research was to study the feasibility of the defatted wheat germ flour (DWGF) alone or in combination with xanthan gum (XG) as egg yolk substitutes in mayonnaise formulation. In this research, DWGF was used at different levels (0, 25, 75 and 100%) alone or in combination with the XG (0.2%) as egg substitutes. The effects of these substitutions on the stability, textural and rheological characteristics of mayonnaise were investigated. According to the results, DWGF can be used as an egg yolk substitute in mayonnaise. Combining DWGF and XG as egg yolk substitute, improved the stability, textural and rheological properties. Mayonnaise with 100% egg yolk replacement showed the hardest structure, while the lowest firmness value was obtained in the control containing 100% egg yolk. Also, the highest adhesiveness value occurred in the sample with 100% DWGF. The thixotropic behavior was observed for all investigated mayonnaise samples over the all ranges of the studied shear rate (0.05-450/sec). Furthermore, the highest content of consistency coefficient value was observed in the sample with 100% DWGF and 0.2% XG. Therefore, it can be concluded that low-cholesterol mayonnaise with proper stability, textural and rheological characteristics are achievable by applying of the desirable combination of DWGF and XG.
A cross-subject decoding algorithm for patients with disorder of consciousness based on P300 brain computer interface

Background Brain computer interface (BCI) technology may provide a new way of communication for some patients with disorder of consciousness (DOC), which can directly connect the brain and external devices. However, the DOC patients’ EEG differ significantly from that of the normal person and are difficult to collected, the decoding algorithm currently only is trained based on a small amount of the patient’s own data and performs poorly. Methods In this study, a decoding algorithm called WD-ADSTCN based on domain adaptation is proposed to improve the DOC patients’ P300 signal detection. We used the Wasserstein distance to filter the normal population data to increase the training data. Furthermore, an adversarial approach is adopted to resolve the differences between the normal and patient data. Results The results showed that in the cross-subject P300 detection of DOC patients, 7 of 11 patients achieved an average accuracy of over 70%. Furthermore, their clinical diagnosis changed and CRS-R scores improved three months after the experiment. Conclusion These results demonstrated that the proposed method could be employed in the P300 BCI system for the DOC patients, which has important implications for the clinical diagnosis and prognosis of these patients.
EFFECT OF DIFFERENT PLANTS EXTRACT ON ACETYLCHOLINESTERASE ACTIVITY OF AEDES AEGYPTI AND MUSCA DOMESTICA ADULTS

The present study evaluated AChE inhibitory effect of three plants (Calotropis procera, Eucalyptus globulus and Mentha spicata) extract using Aedes aegypti and Musca domestica as model insects. The effect caused by plants was also compared with commonly used insecticides i.e., Chlorpyrifos. The WHO-recommended protocol was used for conducting bioassay tests against selected insects. Three different doses of plants extract were used. The mortality rate was assessed after 24 hours post-treatment. Using Ellman's assay, the AChE activity was determined by spectrophotometry at 412nm wavelength. There was a marked decline in the enzyme activity of treated groups compared to the control group. M. spicata treated groups proved to have high AChE inhibition power among three plants extract. While C. procera extract effectively control both Ae. aegypti and M. domestica. It is concluded that plants extract not only inhibits the AChE activity of insects but also controls them very proficiently.
Virtual Reality Could Improve Exercise Performance on a Stationary Bike

: The present study aimed to investigate the effects of manipulating visual information about one’s movement in Virtual Reality (VR) during physical training on a stationary bike. In the first experiment, the participants’ ( N =30) task was to cycle on a stationary bike while embodying a virtual avatar. Fifteen participants experienced the Slow condition, in which a virtual avatar cycled at the constant speed of 15km/h, while the other fifteen participants experienced the Fast condition, in which a virtual avatar cycled at the constant speed of 35km/h. In the second experiment, we tested whether introducing agency (i.e., linking real-life cycling speed with the cycling speed of a virtual avatar), would improve exercise performance. Participants ( N =31) experienced counterbalanced conditions: Faster optic flow (avatar’s speed was 15% faster than the participants’ real cycling speed), and Slower optic flow (avatar’s speed was 15% slower than the participants’ real cycling speed). Results showed that all participants increased their cycling speed when experiencing altered cycling speed of a virtual avatar compared with their baselines, but in the first experiment, participants cycled faster in the faster optic flow condition, while in the second experiment, when participants controlled the virtual avatar’s cycling speed, there were no differences between the Fast and Slow conditions. Participants described the cycling in VR as a pleasant experience. The present study suggests that the addition of Virtual Reality during exercise training may increase cycling performance.
Effects of Tip Vanes on Aerodynamic Performance of H-Type VAWT

In order to investigate the effect of the tip vanes on the aerodynamic performance of H-type vertical axis wind turbines (H-VAWTs), adopting the method of the CFD numerical simulation to analysis blade surface pressure distribution, tip vortex and power coefficient of H-VAWTs that are installed two different kinds of tip vanes on both ends of the blade and not installed. The result showed that the tip vanes can weaken the tip vortex, increase the blade surface pressure difference and improve the power coefficient of the H-VAWT. In addition, the power coefficient of the rotor with V type tip vane was greater than that of the rotor with S type tip vane. The maximum improvement achieved was a 37.5 percent increase in power coefficient with V type tip vane and a 33 percent increase in power coefficient with S type tip vane, the tip vanes made the power augmentation of the H-VAWT.
Efficient Map Fusion for Multiple Implicit SLAM Agents

Recent advances in implicit mapping and positioning have yielded promising results by leveraging the characteristics of Neural Radiance Fields (NeRFs). NeRFs enable the representation of continuous volumetric density and RGB values in a neural network, which can be used to reconstruct the geometry of unknown scenes. However, existing methods have challenges in scaling up to larger scenes and only consider scenarios with a single agent. In this article, we present a collaborative implicit SLAM framework that supports multiple agents running independent implicit SLAM onboard by sharing map information with the server for map fusion. Specifically, we propose a floating-point sparse octree as the structure for storing map information and aligning local maps by transforming three vertices in the octree. To ensure more accurate and efficient map fusion, our backend employs place recognition, implicit alignment, and removal of redundant data. The evaluation results show that our methods can achieve more accurate map fusion through effectively reducing overlap and noise areas.
Estimating sleep duration: performance of open-source processing of actigraphy compared to in-laboratory polysomnography in the community

Abstract Comparisons of actigraphy findings between studies are challenging given differences between brand-specific algorithms. This issue may be minimized by using open-source algorithms. However, the accuracy of actigraphy-derived sleep parameters processed in open-source software needs to be assessed against polysomnography (PSG). Middle-aged adults from the Raine Study (n = 835; F 58%; Age 56.7 ± 5.6 years) completed one night of in-laboratory PSG and concurrent actigraphy (GT3X+ ActiGraph). Actigraphic measures of total sleep time (TST) were analyzed and processed using the open-source R-package GENEActiv and GENEA data in R (GGIR) with and without a sleep diary and additionally processed using proprietary software, ActiLife, for comparison. Bias and agreement (intraclass correlation coefficient) between actigraphy and PSG were examined. Common PSG and sleep health variables associated with the discrepancy between actigraphy, and PSG TST were examined using linear regression. Actigraphy, assessed in GGIR, with and without a sleep diary overestimated PSG TST by (mean ± SD) 31.0 ± 50.0 and 26.4 ± 69.0 minutes, respectively. This overestimation was greater (46.8 ± 50.4 minutes) when actigraphy was analyzed in ActiLife. Agreement between actigraphy and PSG TST was poor (ICC = 0.27–0.44) across all three methods of actigraphy analysis. Longer sleep onset latency and longer wakefulness after sleep onset were associated with overestimation of PSG TST. Open-source processing of actigraphy in a middle-aged community population, agreed poorly with PSG and, on average, overestimated TST. TST overestimation increased with increasing wakefulness overnight. Processing of actigraphy without a diary in GGIR was comparable to when a sleep diary was used and comparable to actigraphy processed with proprietary algorithms in ActiLife.
Commonalities between the Atacama Desert and Antarctica rhizosphere microbial communities

Plant-microbiota interactions have significant effects on plant growth, health, and productivity. Rhizosphere microorganisms are involved in processes that promote physiological responses to biotic and abiotic stresses in plants. In recent years, the interest in microorganisms to improve plant productivity has increased, mainly aiming to find promising strains to overcome the impact of climate change on crops. In this work, we hypothesize that given the desertic environment of the Antarctic and the Atacama Desert, different plant species inhabiting these areas might share microbial taxa with functions associated with desiccation and drought stress tolerance. Therefore, in this study, we described and compared the composition of the rhizobacterial community associated with Deschampsia antarctica (Da), Colobanthus quitensis (Cq) from Antarctic territories, and Croton chilensis (Cc), Eulychnia iquiquensis (Ei) and Nicotiana solanifolia (Ns) from coastal Atacama Desert environments by using 16S rRNA amplicon sequencing. In addition, we evaluated the putative functions of that rhizobacterial community that are likely involved in nutrient acquisition and stress tolerance of these plants. Even though each plant microbial rhizosphere presents a unique taxonomic pattern of 3,019 different sequences, the distribution at the genus level showed a core microbiome with a higher abundance of Haliangium, Bryobacter, Bacillus, MND1 from the Nitrosomonadaceae family, and unclassified taxa from Gemmatiamonadaceae and Chitinophagaceae families in the rhizosphere of all samples analyzed (781 unique sequences). In addition, species Gemmatirosa kalamazoonesis and Solibacter usitatus were shared by the core microbiome of both Antarctic and Desert plants. All the taxa mentioned above had been previously associated with beneficial effects in plants. Also, this microbial core composition converged with the functional prediction related to survival under harsh conditions, including chemoheterotrophy, ureolysis, phototrophy, nitrogen fixation, and chitinolysis. Therefore, this study provides relevant information for the exploration of rhizospheric microorganisms from plants in extreme conditions of the Atacama Desert and Antarctic as promising plant growth-promoting rhizobacteria.