Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Survival Outcomes of Hyperthermic Intraperitoneal Chemotherapy, Intraperitoneal Chemotherapy and Intravenous Chemotherapy for Primary Advanced Ovarian Cancer: A Network Meta-Analysis

Objective: We aimed to compare the survival outcomes and adverse events of hyperthermic intraperitoneal chemotherapy (HIPEC), intraperitoneal chemotherapy (IP)and intravenous chemotherapy (IP)for primary advanced ovarian cancer. Methods: PubMed, CENTRAL (Cochrane Central Registry of Controlled Trials), Embase, Web of Science and Scopus were searched using multiple terms for primary advanced ovarian cancer, including randomized controlled trials and comparative studies in both Chinese and English (up to date 15 August 2022). Outcomes include overall survival, progression-free survival and adverse events. The data were pooled and reported as hazard ratio (HRs) with 95% confidence intervals. The Newcastle–Ottawa Scales were used to assess the risk of bias in the included comparative study. The Cochrane Collaboration’s Risk of Bias Tool was used for randomized controlled trials. Results: In total, 32 studies, including 6347 patients and 8 different platinum-based chemotherapy regimens, were included in this network meta-analysis. Our analysis results showed that HIPEC2 (carboplatin with area under the curve 10) exhibited a statistically significant OS benefit compared to IV, weekly dose-dense chemotherapy and HIPEC1 (cisplatin with 75/100 mg/m2). Intraperitoneal plus intravenous chemotherapy was associated with a statistically significantly better likelihood of overall survival compared to IV. For progression-free survival, our statistical results only suggest a better progression-free survival in ovarian cancer patients treated with HIPEC1 compared with weekly dose-dense chemotherapy. No evidence of difference was observed between the other comparison groups. Compared with the non-HIPEC group, HIPEC may had a higher incidence of electrolyte disturbances (≥grade 3). Conclusion: Our statistical analysis suggests that the groups receiving HIPEC2 had a better OS than the groups receiving IV, weekly dose-dense chemotherapy and HIPEC1. For PFS, our analysis only showed HIPEC1 is better than IV. Moreover, HIPEC may lead to a higher incidence of electrolyte disturbances (≥grade 3). HIPEC therapy for advanced ovarian cancer is currently controversial.
Cluster formation and charge transfer in molecular doping of molybdenum disulfide

Molybdenum disulfide (MoS2) gas sensor prototypes report orders of magnitude higher sensitivity towards nitrogen dioxide (NO2) over ammonia (NH3). Based on the cluster formation model and density functional theory calculation of charge transfer, NO2 is found to form a tightly bound cluster of counter charge upon carrier donation. On the other hand, NH3 forms only a semi-localized cluster of counter charge over wide area MoS2, which should promote recombination of donated carrier. We report the localization of counter charge cluster as an important factor affecting molecular doping efficiency.
Rabi resonances in the Lambda excitation scheme

We consider the interaction of a three-level system with phase-modulated resonant fields in the {lambda} excitation scheme. We treat theoretically the case of a sinusoidal phase modulation, a phase step perturbation, and a stochastic phase modulation. The appearance of a Rabi resonance both in the spectrum of the optical transmitted signal (electromagnetically induced transparency) and in the spectrum of the microwave emission (coherent population trapping maser) is considered in detail. All the theoretical results are compared with the analogous ones reported for the two-level system and with our experimental observations obtained for the case of rubidium in a buffer gas.
Ultra-sensitive plasmonic nanosensors for biochemical detection

We report on a highly sensitive plasmon-based nanosensor. This hybrid sensor is composed of a glass tip with a set of gold nanoparticles grafted at its apex. It allows to optimize the excitation and detection of the localized surface plasmon resonance of metal nanoparticles and thus to increase dramatically the sensitivity. First results show the possibility to detect a concentration as low as 10-10 M on a single gold dimer. Furthermore, promising SERS measurements are reported.
Queuing with Breakdowns

A single-server queuing process in which the service facility is subject to breakdowns, is considered in this paper as a “preemptive resume priority” queuing process. The restrictions imposed on arrival process of breakdowns give rise to several breakdown models with different operational parameters. The time-dependent and the steady-state queue-length generating functions of two breakdown models are given in this paper, when the service time process and repair time process are general distributions. The results of White and Christie and Heathcote are obtained as particular cases.
Binary Star Orbits. II. Preliminary First Orbits for 117 Systems

Orbital elements are presented for 117 binary systems with no previous orbit calculation. For nearly all of these systems, these elements must be regarded as preliminary, but the ephemerides presented here should be relatively accurate over the next several decades. Further, the analysis of these systems should highlight the need for their continued observation by dedicated programs to improve the veracity of these elements.
Measurement of absolute photo-ionization cross sections using magnesium magneto-optical traps

This paper reports on an experimental study of resonant photo-ionization of the 3s3p 1P1 level of magnesium using near-resonant light at 285 nm. We extract an absolute photo-ionization cross section of (8.1±2.3)×10-17 cm2 using a magneto-optical trap and compare this value to current theoretical calculations. We find good agreement between theory and experiment.
On the one-dimensional compressible Ising model

A study of the one-dimensional compressible Ising model, in zero field, with quadratic potential energy and linear exchange parameter, is presented, using a canonical transformation of the hamiltonian. Earlier solutions are corrected and generalized, the role of the four-spin interaction in different ensembles being made explicit. The results agree with the solutions of the Baker-Essam model.
Mass Production of 2021 KMTNet Microlensing Planets II

We continue our program of publishing all planets (and possible planets) found by eye in 2021 Korea Microlensing Telescope Network (KMTNet) online data. We present four planets (KMT-2021-BLG-0712Lb, KMT-2021-BLG-0909Lb, KMT-2021-BLG-2478Lb, and KMT-2021-BLG-1105Lb), with planet-to-host mass ratios in the range −3.3≲logq≲−2.2 . This brings the total of secure, by-eye, 2021 KMTNet planets to 16, including 8 in this series. The by-eye sample is an important check of the completeness of semiautomated detections, which are the basis for statistical analyses. One of the planets, KMT-2021-BLG-1105Lb, is blended with a relatively bright (I, V) ∼ (18.9, 21.6) star that may be the host. This could be verified immediately by high-resolution imaging. If so, the host is an early G dwarf, and the planet could be characterized by radial velocity observations on 30 m class telescopes.
Minimum Effort Control Systems

An optimal control problem is considered in which it is desired to transfer a linear control system from one given state to another state. The target state may either be a point or a convex closed set. Optimization is understood in the sense of minimizing the control effort, where effort is defined either as maximum amplitude or as an integral of a certain function of the control. The optimization problem is reduced to the problem of finding the unique minimum of a function of n variables (where n is the order of the system) . It is shown that the method of steepest descent is particularly applicable to finding this minimum, and consequently to determining the minimum effort and optimal control.
Hopf bifurcation with the symmetry of the square

Four identical nonlinear oscillators, coupled with the symmetry of a square, can undergo a symmetric version of the standard Hopf bifurcation. Golubitsky and Stewart (1986) have studied the case of N oscillators coupled in a ring with nearest-neighbour coupling. Their results are incomplete for the square case (N=4) because they only considered periodic solutions which have 'maximal' symmetry. Here the author studies the dynamics of all possible square-symmetric Hopf bifurcations; these codimension-one bifurcations are parametrised by the three complex cubic coefficients in the normal form. He finds that invariant tori (quasiperiodic solutions with two frequencies) and periodic solutions with 'minimal' symmetry bifurcate from the origin for open regions of the parameter space of cubic coefficients. The coefficients can be chosen so that the invariant tori are the only asymptotically stable solutions near the origin. Thus a direct transition from a stable fixed point to flow on a stable invariant torus is expected in certain laboratory experiments with only one adjustable parameter (provided the square symmetry is accurate enough). Furthermore, it is conjectured that there are attracting chaotic solutions arbitrarily close to the bifurcation in a certain codimension-two case.
Flicker of extragalactic radio sources at two frequencies

Dual-frequency observations of flat and steep-spectrum extragalactic radio sources made at Arecibo Observatory over a 20-day period are analyzed. As first reported by Heeschen (1982, 1984), flat-spectrum sources generally have larger intensity variations than steep-spectrum ones. A structure function analysis demonstrates a qualitative difference in the time series of the sources. The case against interstellar scintillation is examined, including a review of applicable scintillation theory. Relativistic source motion is treated as a solution to the brightness-temperature problems which arise if the variations are assumed intrinsic to the sources. 16 references.
Dynamic modeling and nonlinear boundary control of hybrid Euler–Bernoulli beam system with a tip mass

This paper presents dynamic modeling and Lyapunov-based boundary control of a hybrid Euler–Bernoulli beam. The beam is hybrid in the sense that it holds both rigid and elastic motions. The beam is equipped with actuators hub at one end and it carries the payload as the tip mass at the free end. The distributed parameter dynamic equations (i.e. partial differential equations governing the hybrid beam motion) are derived using Hamilton’s principle. The dynamic model consists of four distributed parameter dynamic equations, representing the beam vibration and rigid motion in the plane, coupled to the discrete dynamic boundary equations. This paper uses the system equations to achieve model-based control laws that asymptotically stabilize the beam vibration while driving the rigid body position and orientation to the desired set point. The control system applies three forces/torque at the hub to regulate the rigid body position/orientation and a transverse force at the free end to suppress the beam vibration. In this regard, the control system only applies actuation and makes measurement at the beam boundary, thus excluding the need for distributed actuators or sensors. Furthermore, the proposed method directly uses the system equations for the control design without model truncation to rule out spillover instabilities. The closed-loop system stability is shown through Lyapunov-based analysis. Numerical simulations demonstrate the effectiveness of the proposed method.
Ultrafast carrier capture and relaxation in modulation-doped InAs quantum dots

We report investigations on carrier capture and relaxation processes in undoped and modulation-doped InAs∕GaAs self-assembled quantum dots (QDs) by using time-resolved spectroscopy technique with a time resolution of ∼200fs. We find that carrier capture and relaxation in the ground state of the charged QD are faster compared to the undoped dots even at an excitation level as low as 1×1010cm−2. It is attributed to the triggering of the vibrating polarization field induced by the presence of cold carriers in the doped dots. The rate of an electron been captured by a positively charged QD is also calculated based on our proposed model.
Effect of the SDSM detector relative spectral response in determining the degradation coefficient of the SNPP VIIRS solar diffuser reflectance

The Visible/Infrared Imager Radiometer Suite (VIIRS) instrument aboard the Suomi National Polarorbiting Partnership (SNPP) satellite performs its radiometric calibration in the reflective solar bands (RSB) wavelength region primarily through observing the sunlight scattered from the onboard Solar Diffuser (SD). The degradation (over time) of the SD reflectance is determined by the onboard Solar Diffuser Stability Monitor (SDSM). The SDSM detector relative spectral response (RSR) over the out-ofband (OOB) wavelength region leads to a non-negligible bias to the originally determined SD degradation coefficient over wavelengths from 412 nm to 488 nm. In this Proceeding, we consider the out-of-band contribution to determine the bias. Our computation shows that the bias to the degradation coefficient is larger at a shorter wavelength and increases with time. On the 564th day after launch (~ orbit 8000), at a wavelength of 412 nm, the bias (OOB-corrected – not-OOB-corrected) has a mean of -0.021, and at a wavelength of 445 nm, the bias has a mean of -0.009.
The length-scale distribution function of the distance between extremal points in passive scalar turbulence

In order to extract small-scale statistical information from passive scalar fields obtained by direct numerical simulation (DNS) a new method of analysis is introduced. It consists of determining local minimum and maximum points of the fluctuating scalar field via gradient trajectories starting from every grid point in the directions of ascending and descending scalar gradients. The ensemble of grid cells from which the same pair of extremal points is reached determines a spatial region which is called a ‘dissipation element’. This region may be highly convoluted but on average it has an elongated shape with, on average, a nearly constant diameter of a few Kolmogorov scales and a variable length that has the mean of a Taylor scale. We parameterize the geometry of these elements by the linear distance between their extremal points and their scalar structure by the absolute value of the scalar difference at these points. The joint p.d. f. of these two parameters contains most of the information needed to reconstruct the statistics of the scalar field. It is decomposed into a marginal p.d. f. of the linear distance and a conditional p.d. f. of the scalar difference. It is found that the conditional mean of the scalar difference follows the 1/3 inertial-range Kolmogorov scaling over a large range of length-scales even for the relatively small Reynolds number of the present simulations. This surprising result is explained by the additional conditioning on minima and maxima points. A stochastic evolution equation for the marginal p.d. f. of the linear distance is derived and solved numerically. The stochastic problem that we consider consists of a Poisson process for the cutting of linear elements and a reconnection process due to molecular diffusion. The resulting length-scale distribution compares well with those obtained from the DNS.
Regional differences and threshold effects of labor transfer affecting the technical efficiency of China’s agricultural industry: A case study of the apple industry

Apples, as a typical agricultural product with high added value, play a significant role in increasing farmers’ income and promoting regional economic growth. They have become one of the main ways for farmers to develop agricultural and sideline products in China’s Loess Plateau and Bohai Rim region. Based on panel data for provinces from 2007 to 2020, this study used stochastic frontier analysis to calculate the technical efficiency of apple production in China’s major apple-producing areas and then introduced urbanization rate as the threshold variable. Based on the quantity, quality, and structure of the rural labor force, the threshold model was used to empirically analyze the effect of labor transfer at different stages of urbanization on industrial technical efficiency in the main apple-producing areas. The results showed that labor transfer had an obvious negative effect on apple production. The labor transfer at the national level has had an obvious negative impact on the output of the apple industry, and the impact of labor transfer on the technical efficiency of China’s apple industry is significantly different; that is, the impact of labor outflow on the technical efficiency of apple production is different in different regions. In some areas, the technical efficiency of production in the main apple-producing areas can be significantly improved. Finally, the proportion of the labor force showed significant differences in its effect on technical efficiency in different stages of urbanization.
Out-of-Equilibrium Phase Transitions and Time-Asymptotic One-Particle Dynamics in the Vlasov Limit of The Hamiltonian Mean Field Model

When starting from specific initial conditions, the ferromagnetic-like XY Hamiltonian mean field (HMF) model evolves toward quasistationary states, with lifetimes diverging with the number N of degrees of freedom that violate equilibrium statistical mechanics predictions. Phase transitions have been reported between low-energy magnetized quasistationary states and large energy unexpected, antiferromagnetic-like ones with low, but nonvanishing, magnetization. This issue is addressed here in the Vlasov N→∞ limit. It is argued that the time asymptotic states emerging in the Vlasov limit can be related to simple generic time asymptotic forms for the force field. The proposed picture unveils the nature of the out-of-equilibrium phase transitions reported for the ferromagnetic HMF in the second order regime: This is a bifurcation point connecting an effective integrable Vlasov one-particle time-asymptotic dynamic to a partly ergodic one, which means an abrupt open-up of the Vlasov one-particle phase space. This is proposed as a mechanism for second-order phase transitions compatible with nonvanishing time-asymptotic values of the order parameter in mean-field long-range systems.
NUCLEAR FACTOR-ERYTHROID-2–RELATED FACTOR REGULATES SYSTEMIC AND PULMONARY BARRIER FUNCTION AND IMMUNE PROGRAMMING AFTER BURN AND INHALATION INJURY

ABSTRACT Major burn injury is associated with systemic hyperinflammatory and oxidative stresses that encompass the wound, vascular, and pulmonary systems that contribute to complications and poor outcomes. These stresses are exacerbated if there is a combined burn and inhalation (B+I) injury, which leads to increases in morbidity and mortality. Nuclear factor-erythroid-2–related factor (NRF2) is a transcription factor that functions to maintain homeostasis during stress, in part by modulating inflammation and oxidative injury. We hypothesized that the NRF2-mediated homeostasis after burn alone and combined B-I injury is insufficient, but that pharmacological activation of the NRF2 pathway has the potential to reduce/reverse acute hyper inflammatory responses. We found that, after burn and B+I injury, Nrf2−/− mice have higher mortality and exhibit greater pulmonary edema, vascular permeability, and exacerbated pulmonary and systemic proinflammatory responses compared with injured wild-type (WT) controls. Transcriptome analysis of lung tissue revealed specific Nrf2-dependent dysregulated immune pathways after injury. In WT mice, we observed that B+I injury induces cytosolic, but not nuclear, accumulation of NRF2 protein in the lung microenvironment compared with sham-injured controls. Bardoxolone methyl (CDDO-Me)–containing microparticles (CDDO-MPs) were developed that allow for dilution in saline and stable release of CDDO-Me. When delivered intraperitoneally into mice 1 hour after B+I injury, CDDO-MPs significantly reduced mortality and cytokine dysfunction compared with untreated B-I animals. These data implicate the role of NRF2 regulation of pulmonary and systemic immune dysfunction after burn and B+I injury, and also a deficiency in controlling immune dysregulation. Selectively activating the NRF2 pathway may improve clinical outcomes in burn and B+I patients.
Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning

Blood pressure (BP) is a crucial biomarker giving valuable information regarding cardiovascular diseases but requires accurate continuous monitoring to maximize its value. In the effort of developing non-invasive, non-occlusive and continuous BP monitoring devices, photoplethysmography (PPG) has recently gained interest. Researchers have attempted to estimate BP based on the analysis of PPG waveform morphology, with promising results, yet often validated on a small number of subjects with moderate BP variations. This work presents an accurate BP estimator based on PPG morphology features. The method first uses a clinically-validated algorithm (oBPM®) to perform signal preprocessing and extraction of physiological features. A subset of features that best reflects BP changes is automatically identified by Lasso regression, and a feature relevance analysis is conducted. Three machine learning (ML) methods are then investigated to translate this subset of features into systolic BP (SBP) and diastolic BP (DBP) estimates; namely Lasso regression, support vector regression and Gaussian process regression. The accuracy of absolute BP estimates and trending ability are evaluated. Such an approach considerably improves the performance for SBP estimation over previous oBPM® technology, with a reduction in the standard deviation of the error of over 20%. Furthermore, rapid BP changes assessed by the PPG-based approach demonstrates concordance rate over 99% with the invasive reference. Altogether, the results confirm that PPG morphology features can be combined with ML methods to accurately track BP variations generated during anesthesia induction. They also reinforce the importance of adding a calibration measure to obtain an absolute BP estimate.
Automated Video Debriefing Using Computer Vision Techniques

Introduction Within any training event, debriefing is a vital component that highlights areas of proficiency and deficiency, enables reflection, and ultimately provides opportunity for remediation. Video-based debriefing is desirable to capture performance and replay events, but the reality is rife with challenges, principally lengthy video and occlusions that block line of sight from camera equipment to participants. Methods To address this issue, researchers automated the editing of a video debrief, using a system of person-worn cameras and computer vision techniques. The cameras record a simulation event, and the video is processed using computer vision. Researchers investigated a variety of computer vision techniques, ultimately focusing on the scale invariant feature transform detection method and a convolutional neural network. The system was trained to detect and tag medically relevant segments of video and assess a single exemplar medical intervention, in this case the application of a tourniquet. Results The system tagged medically relevant video segments with 92% recall and 66% precision, resulting in an F1 (harmonic mean of precision and recall) of 72% (N = 23). The exemplar medical intervention was successfully assessed in 39.5% of videos (N = 39). Conclusion The system showed suitable accuracy tagging medically relevant video segments, but requires additional research to improve medical intervention assessment accuracy. Computer vision has the potential to automate video debrief creation to augment existing debriefing strategies.