Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effects of Energy Intake on Upper Respiratory Symptoms in Ultra-Endurance Triathletes

Background: It is unclear whether energy intake can impact the incidence of upper respiratory symptoms (URS). The purpose of this study was to examine if there are differences in energy intake between symptomatic (SYM) and asymptomatic (ASYM) groups of URS in Ironman triathletes. Methods: Thirty-three subjects competing in the Lake Placid Ironman Triathlon (mean ¡ SD: age, 37 ¡8 y; height, 178 ¡ 8 cm; mass, 76.3 ¡ 10.4 kg; body fat, 10.8 ¡ 3.8%) were randomized into either control (CON) or intervention (INT). INT consumed four commercial recovery drinks, two immediately post-race and two 3-hours post-race. Calorie and macronutrient intakes were recorded pre-, during, and post-race. Subjects completed the Wisconsin URS Survey to assess URS over the next two weeks. Two analyses were done by comparing results between CON and INT, and when subjects were classified as either ASYM (5 20) or SYM (5 13). Results: There were no differences in energy intake (p . 0.05) and URS (INT, 32 ¡ 38; CON, 16 ¡ 23; p 5 0.155). However, on the race day, SYM (9,044 ¡ 2,598 kcal) consumed less energy than ASYM (10,991 ¡ 2,497 kcal) (p 5 0.044). Also, SYM consumed less energy the day before the race (p 5 0.031) and post-race (p 5 0.008). ASYM consumed greater carbohydrate the day before the race (p 5 0.032), fat the day of the race (p 5 0.006), carbohydrate post-race (p 5 0.08), and fat post-race (p 5 0.002). Conclusions: Overall energy intake was similar between CON and INT. However, when subjects were differentiated by URS, SYM consumed fewer calories the day before the race and the day of the race versus ASYM.
Preventive Effects of a Single Bout of Exercise on Memory and Attention following One Night of Sleep Loss in Sports Students: Results of a Randomized Controlled Study

Sleep loss is a severe problem in night-shift workers. It causes fatigue and a decrease in awareness that may be counter-acted by exercise. This randomized controlled study of 22 university students investigated the effects of exercise to prevent loss of cognitive and physical performance following sleep deprivation. We compared a single bout of 20 min circuit training to control in an experimental setting of overnight sleep loss. Outcomes included memory, cognitive tasks, and physical parameters. The occurrence of false memories was considered the main outcome. Exercise did not exert significant effects on false memories (p = 0.456). We could detect a trend to significance (p < 0.01) assessing cognitive dimensions, i.e., selective and sustained attention, and visual scanning speed. This revealed strong effects of exercise on attention (p = 0.091; Cohen’s d = 0.76; ∆14%), cognitive performance, performance speed, and perceived sleepiness (p = 0.008; d = 0.60; ∆2.4 cm VAS). This study failed to show the effects of exercise on memory function. Still, the observed effects on attention and consciousness could be considered clinically relevant, as these results encourage further research to determine its practicability and meaningfulness among night-shift workers.
Application of Aeroelastic Tailoring for Load Alleviation on a Flying Demonstrator Wing

This article presents the application of aeroelastic tailoring in the design of wings for a flying demonstrator, as well as the validation of the design methodology with flight test results. The investigations were performed in the FLEXOP project (Flutter Free Flight Envelope Expansion for Economical Performance Improvement), funded under the Horizon 2020 framework. This project aimed at the validation of methods and tools for active flutter control, as well as at the demonstration of the potential of passive load alleviation through composite tailoring. The technologies were to be demonstrated by the design, manufacturing and flight testing of an unmanned aerial vehicle of approximately 7 m wingspan. This article addresses the work towards the load alleviation goals. The design of the primary load-carrying wing-box in this task is performed using a joint DLR–TU Delft optimization strategy. Two sets of wings are designed in order to demonstrate the potential benefits of aeroelastic tailoring—first, a reference wing in which the laminates of the wing-box members are restricted to balanced and symmetric laminates; second, a tailored wing in which the laminates are allowed to be unbalanced, hence allowing for the shear–extension and bending–torsion couplings essential for aeroelastic tailoring. Both designs are numerically optimized, then manufactured and extensively tested to validate and improve the simulation models corresponding to the wing designs. Flight tests are performed, the results of which form the basis for the validation of the applied aeroelastic tailoring approach presented in the article.
Influence of Large Amplitudes on Flexural Vibrations of a Thin Circular Cylindrical Shell

In this paper are derived the equations of nonlinear flexural vibrations for a thin circular cylindrical shell. The assumptions employed in the various steps of derivation are clearly set forth. Axial body force terms which may be of practical importance are included in the equations. Nonlinear periods are obtained for the free vibrations case. Numerical examples are given for a shell with a radius thickness ratio of 100 and two numbers of circumferential waves, 8 and 10. The results are plotted and compared with a previous study on flat plates. In these examples, nonlinear effects are found to be considerably less manifest in cylinders than in corresponding flat plates.
Alignment-Robust Cancelable Biometric Scheme for Iris Verification

In this paper, we propose a histogram of oriented gradient inspired cancelable biometrics – Random Augmented Histogram of Gradients (<inline-formula> <tex-math notation="LaTeX">$\text{R}\cdot $ </tex-math></inline-formula>HoG) for iris template protection. The proposed <inline-formula> <tex-math notation="LaTeX">$\text{R}\cdot $ </tex-math></inline-formula>HoG is built upon on two main components: 1) column vector random augmentation and 2) gradient orientation grouping mechanisms to transform the unaligned irisCode feature into the alignment-robust cancelable template. The alignment-robust property of the proposed <inline-formula> <tex-math notation="LaTeX">$\text{R}\cdot $ </tex-math></inline-formula>HoG enables the fast template comparison which is crucial for an efficient authentication process. Experiments were performed on CASIA-IrisV3-Internal and CASIA-IrisV4-Thousand datasets. The results demonstrate the proposed <inline-formula> <tex-math notation="LaTeX">$\text{R}\cdot $ </tex-math></inline-formula>HoG could achieve acceptable verification performance in both datasets. Other than that, the irreversibility and security properties are studied based on major security and privacy attacks in biometric system. Lastly, results from the benchmarking evaluation framework show the proposed method is satisfying the unlinkability property.
GRU-based Buzzer Ensemble for Abnormal Detection in Industrial Control燬ystems

: Recently, Industrial Control Systems (ICSs) have been changing from a closed environment to an open environment because of the expansion of digital transformation, smart factories, and Industrial Internet of Things (IIoT). Since security accidents that occur in ICSs can cause national confusion and human casualties, research on detecting abnormalities by using normal operation data learning is being actively conducted. The single technique proposed by existing studies does not detect abnormalities well or provide satisfactory results. In this paper, we propose a GRU-based Buzzer Ensemble for Abnormal Detection (GBE-AD) model for detecting anomalies in industrial control systems to ensure rapid response and process availability. The newly proposed ensemble model of the buzzer method resolves False Negatives (FNs) by complementing the limited range that can be detected in a single model because of the internal models composing GBE-AD. Because the internal models remain suppressed for False Positives (FPs), GBE-AD provides better generalization. In addition, we generated mean prediction error data in GBE-AD and inferred abnormal processes using soft and hard clustering. We confirmed that the detection model’s Time-series Aware Precision (TaP) suppressed FPs at 97.67%. The final performance was 94.04% in an experiment using an HIL-based Augmented ICS (HAI) Security Dataset (ver.21.03) among public datasets.
Naringenin as a Natural Agent Against Oxidative Stress and Inflammation, and Its Bioavailability

ABSTRACT Naringenin is a flavanone commonly found in citrus and aromatic herbs that can protect against oxidative stress and inflammation. Oxidative stress can cause serious damage to tissues and organs; furthermore, it is closely related to chronic inflammation-related diseases, as reactive oxygen species can activate transcription factors that culminate in the production of pro-inflammatory molecules. The effects of naringenin against these responses are mediated by its antioxidant capacity and the induction or inhibition of signaling routes related to inflammation. Hence the current review summarizes the current knowledge of naringenin’s health benefits against oxidative stress and inflammation, its mechanisms of action, and its bioavailability.
Intertidal burrowing shrimps (Axiidea: Callianassidae, Callichiridae; Gebiidea: Axiannassidae, Upogebiidae) collected along the Brazilian coast

ABSTRACT An annotated checklist of the intertidal species of burrowing shrimps of the Brazilian coast is provided from samples collected during latitudinal research expeditions between 2015 and 2018. A total of 1166 specimens of nine species were collected in these expeditions. These species are listed by infraorder and family as follows: Axiidea: Callianassidae (Biffarius botterae), Callichiridae (Audacallichirus mirim, Callichirus corruptus, Lepidophthalmus siriboia, Neocallichirus guara, N. maryae, N. pinheiroi); Gebiidea: Axianassidae (Axianassa australis), Upogebiidae (Upogebia omissa). For each species, the diagnostic features, distribution and habitat are recorded. The taxonomic information is discussed and compared with the information reported in literature for each taxon.
Practical Use of Quartz Crystal Microbalance Monitoring in Cartilage Tissue Engineering

Quartz crystal microbalance (QCM) is a real-time, nanogram-accurate technique for analyzing various processes on biomaterial surfaces. QCM has proven to be an excellent tool in tissue engineering as it can monitor key parameters in developing cellular scaffolds. This review focuses on the use of QCM in the tissue engineering of cartilage. It begins with a brief discussion of biomaterials and the current state of the art in scaffold development for cartilage tissue engineering, followed by a summary of the potential uses of QCM in cartilage tissue engineering. This includes monitoring interactions with extracellular matrix components, adsorption of proteins onto biomaterials, and biomaterial–cell interactions. In the last part of the review, the material selection problem in tissue engineering is highlighted, emphasizing the importance of surface nanotopography, the role of nanofilms, and utilization of QCM as a “screening” tool to improve the material selection process. A step-by-step process for scaffold design is proposed, as well as the fabrication of thin nanofilms in a layer-by-layer manner using QCM. Finally, future trends of QCM application as a “screening” method for 3D printing of cellular scaffolds are envisioned.
Efficacy of microcatheter-assisted trabeculotomy on secondary glaucoma after congenital cataract surgery.

AIM To evaluate efficacy of microcatheter-assisted trabeculotomy (MAT) in eyes with secondary glaucoma after congenital cataract surgery and explore its correlation with the different degree of trabeculotomy. METHODS A retrospective analysis was conducted on patients who underwent the said procedure between September 2019 and September 2020. The patients were classified into two groups according to the degree of trabeculotomy (group 1: ≤240-degree; group 2: 240-360-degree). The intraocular pressure (IOP) and anti-glaucoma drugs before and after operation was collected during the 12-month follow-up. RESULTS Totally 27 eyes of 25 patients were included: 11 (40.7%) eyes in group 1 and 16 (59.3%) eyes in group 2. The mean IOP of all patients was 34.67±9.18 mm Hg preoperatively and 8.74±4.32, 9.95±5.65, 14.39±5.30, 16.02±4.37, 15.82±3.28, and 16.19±3.56 mm Hg 1d, 1wk, 1, 3, 6, and 12mo after surgery, respectively. In all patients, there were significant differences in IOP at each time point (F=65.614, P<0.01). In each group, IOP after surgery was lower than that before surgery (all P<0.01), but there was no difference in the rate of IOP reduction between the two groups (P=0.246). Furthermore, the amount of anti-glaucoma medications reduced to 0.30±0.67 (0-2) at 12mo from 2.63±0.49 (2-3) preoperatively (P<0.01), and there was no difference between the two groups (P>0.05). At the end of follow-up, the partial success rate was 81.8% in group 1 vs 93.75% in group 2 (P=0.549). Various amount of intraoperative and postoperative hyphema occurred in all eyes, which spontaneously absorbed or cleaned through paracentesis and irrigation. No other serious complications was observed. CONCLUSION MAT can effectively reduce IOP in patients with secondary glaucoma after congenital cataract surgery with a high success rate and safety. And it can be used as the first choice for the treatment of secondary glaucoma after surgery for congenital cataracts.
A Study of Planetary Nebulae Possessing Binary Central Stars

In this thesis, detailed studies of three different types of binary central stars withinplanetary nebulae (bCSPNe) are presented, with the aim of investigating the effectssuch a range of binary systems has on the morphology and kinematics of the surroundingnebulae, as well as discussing what the implication is for the interaction betweenthe stars themselves. A close binary, an intermediate period binary, and a compactbinary system are examined.The close binary PN HaTr 4 is the first system to be studied via detailed spatiokinematicalanalysis and modelling, and it is one of few known to contain a postcommonenvelope (CE) central star system. CE evolution is believed to play an importantrole in the shaping of PNe, but the exact nature of this role is yet to be understood.High spatial and spectral resolution spectroscopy is presented alongside deep narrowbandimagery to derive the three-dimensional morphology of HaTr 4. The nebula isfound to display an extended ovoid morphology with an enhanced equatorial regionconsistent with a toroidal waist - a feature believed to be typical amongst PNe withpost-CE central stars. The nebular symmetry axis is found to lie perpendicular to theorbital plane of the central binary, concordant with the idea that the formation andevolution of HaTr 4 has been strongly influenced by its central binary.Next, PN LoTr 1 is studied using a combination of spectra and photometry, andis thought to contain an intermediate-period binary central star system (P = 100? 1500d). Here, we confirm the binary nature of the central star of LoTr 1, consisting of aK1 III star and a hot white dwarf (WD). The nebula of LoTr 1 presents a very differentmorphology than that of other seemingly similar bCSPNe possessing barium stars,A70 and WeBo 1 (included in this study for direct comparison), which may be anindication of a difference in their mass-transfer episodes. There is no evidence ofbarium enhancement in the K1 III companion, but it is shown to have a rotation periodof 6.4 d which is most likely a sign of mass accretion. Such a system represents arare opportunity to further the investigation into the formation of barium stars andintermediate period, post-asymptotic giant branch (AGB) systems.Finally, the first analysis of an object from the new POPIPlaN catalogue of PNe ispresented. Photometry of the central star system of PN G033.8+01.5 showed it to bea compact binary of P = 0.1268 d, consisting of a cool M2 V main sequence star anda hot WD surrounded by a very asymmetric PN. The very short orbital period leadsto the possibility of PN G033.8+01.5 being a cataclysmic variable candidate, which inturn leads to the question of whether the visible nebulous material is that of a true PNor if it is the remnant of an outburst.
Search for the neutrinoless double ß-decay in Gerda Phase I using a Pulse Shape Discrimination technique

The Germanium Detector Array (Gerda) experiment, located underground at the INFN Laboratori Nazionali del Gran Sasso (LNGS) in Italy, deploys high-purity germanium detectors to search for the neutrinoless double beta-decay (0vbb) of 76Ge. An observation of this lepton number violating process, which is expected by many extensions of the Standard Model, would not only generate a fundamental shift in our understanding of particle physics, but also unambiguously prove the neutrino to have a non-vanishing Majorana mass component. A first phase of data recording lasted from November 2011 to May 2013 - resulting in a total exposure (defined as the product of detector mass and measurement time) of 21.6 kg*yr. Within this thesis a thorough study of this data with special emphasis on the development and scrutiny of an active background suppression technique by means of a signal shape analysis has been performed. Among several investigated multivariate approaches, particularly a selection algorithm based on an artificial neural network is found to yield the best performance; i.a. the background index close to the Q-value of the 0vbb- decay could be suppressed by 45% to 1*10^(-2) cts/(keV*kg*yr), while still retaining a considerably high signal survival fraction of (83+/-3)% leading to a significant improvement of the experimental sensitivity. The efficiency is derived by a simulation and further validated by substantiated consistency checks availing themselves of measurements taken with different calibration sources and physics data. No signal is observed and a new lower limit of T(90%C.L.)>2.2*10^25 yr for the half-life of neutrinoless double beta-decay of 76Ge is established.
Bayesian Gravitation-Based Classification for Hyperspectral Images

Integration of spectral and spatial (SS) information is extremely important for the classification of high-resolution hyperspectral images (HSIs). Gravitation describes interaction among celestial bodies, which can be applied to measure similarity between data for image classification. However, gravitation is hard to combine with spatial information and rarely been applied in HSI classification. This article proposes a Bayesian gravitation-based classification (BGC) to integrate the SS information of local neighbors and training samples. In the BGC method, each testing pixel is first assumed as a massive object with unit volume and a particular density, where the density is taken as the data mass in BGC. Specifically, the data mass is formulated as an exponential function of the spectral distribution of its neighbors and the spatial prior distribution of its surrounding training samples based on the Bayesian theorem. Then, a joint data gravitation model is developed as the classification measure, in which the data mass is taken to weigh the contribution of different neighbors in a local region. Four benchmark HSI datasets, i.e., the Indian Pines, Pavia University, Salinas, and Grss_dfc_2014, are tested to verify the BGC method. The experimental results are compared with that of several well-known HSI classification methods, including the support vector machines (SVM), sparse representation, and other eight state-of-the-art HSI classification methods. The BGC shows apparent superiority in the classification of high-resolution HSIs and also flexibility for HSIs with limited samples.
Nonlocality as the source of purely quantum dynamics of BCS superconductors

We show that the classical (mean-field) description of far from equilibrium superconductivity is exact in the thermodynamic limit for local observables but breaks down for global quantities, such as the entanglement entropy or Loschmidt echo. We do this by solving for and comparing exact quantum and exact classical long-time dynamics of a BCS superconductor with interaction strength inversely proportional to time and evaluating local observables explicitly. Mean field is exact for both normal and anomalous averages (superconducting order) in the thermodynamic limit. However, for anomalous expectation values, this limit does not commute with adiabatic and strong coupling limits and, as a consequence, their quantum fluctuations can be unusually strong. The long-time steady state of the system is a gapless superconductor whose superfluid properties are only accessible through energy resolved measurements. This state is nonthermal but conforms to an emergent generalized Gibbs ensemble. Our study clarifies the nature of symmetry-broken many-body states in and out of equilibrium and fills a crucial gap in the theory of time-dependent quantum integrability.
Bruton’s Tyrosine Kinase Inhibitor Zanubrutinib Effectively Modulates Cancer Resistance by Inhibiting Anthracycline Metabolism and Efflux

Zanubrutinib (ZAN) is a Bruton’s tyrosine kinase inhibitor recently approved for the treatment of some non-Hodgkin lymphomas. In clinical trials, ZAN is often combined with standard anthracycline (ANT) chemotherapy. Although ANTs are generally effective, drug resistance is a crucial obstacle that leads to treatment discontinuation. This study showed that ZAN counteracts ANT resistance by targeting aldo-keto reductase 1C3 (AKR1C3) and ATP-binding cassette (ABC) transporters. AKR1C3 catalyses the transformation of ANTs to less potent hydroxy-metabolites, whereas transporters decrease the ANT-effective concentrations by pumping them out of the cancer cells. In our experiments, ZAN inhibited the AKR1C3-mediated inactivation of daunorubicin (DAUN) at both the recombinant and cellular levels. In the drug combination experiments, ZAN synergistically sensitised AKR1C3-expressing HCT116 and A549 cells to DAUN treatment. Gene induction studies further confirmed that ZAN did not increase the intracellular level of AKR1C3 mRNA; thus, the drug combination effect is not abolished by enzyme induction. Finally, in accumulation assays, ZAN was found to interfere with the DAUN efflux mediated by the ABCB1, ABCG2, and ABCC1 transporters, which might further contribute to the reversal of ANT resistance. In summary, our data provide the rationale for ZAN inclusion in ANT-based therapy and suggest its potential for the treatment of tumours expressing AKR1C3 and/or the above-mentioned ABC transporters.
Succinct Oracles for Exact Distances in Undirected Unweighted Graphs

Let G be an unweighted and undirected graph of n nodes, and let D be the n x n matrix storing the All-Pairs-Shortest-Path distances in G. Since D contains integers in [n], its plain storage takes n^2log (n + 1) bits. However, a simple counting argument shows that n^2/2 bits are necessary to store D. In this paper we investigate the question of finding a succinct representation of D that requires O(n^2) bits of storage and still supports constant-time access to each of its entries. This is asymptotically optimal in the worst case, and far from the information-theoretic lower-bound by a multiplicative factor log 3 \simeq 1.585. As a result O(1) bits per pairs of nodes in G are enough to retain constant-time access to their shortest-path distance. We achieve this result by reducing the storage of D to the succinct storage of labeled trees and ternary sequences, for which we properly adapt and orchestrate the use of known compressed data structures.