Miracle-dz/UniFAR-FTUs huggingface dataset:
A two-stage approach to recovery of inter-block information and shrinkage of block effect estimates

Linear mixed models often comprise several effects, and the focus is usually only on one or a few of them, while the other effects need to be fitted merely to adjust for all sources of variation. A typical example is the analysis of a blocked experiment, where the effects of interest pertain to treatments, while effects for replicates and incomplete blocks need to be taken into account in order to obtain efficient estimates of treatment effects. If fixed and random effects that are not of major interest were known beforehand, we could subtract these from the observed data, and a reduced model could then be fitted to these corrected data in order to estimate the effects of interest. In practice, this approach cannot be used directly, however, because true values of the effects are unknown. But we may replace unknown effects by their estimates. We show in this paper, that a reduced model fitted to these ‘empirically’ corrected data yields BLUE and BLUP of fixed and random effects of interest in the full model. Using examples, this result is demonstrated to be useful for illustrating the recovery of inter-block information and for understanding
Prediction Equation for Reaeration in Open-Channel Flow

The problem of predicting the reaeration rate in open-channel flow has attracted considerable attention in the recent years. The purpose of this technical note is to present evidence that the data from the 1-ft wide flume in fact matches the field data of Churchill just as well as the data from the 2-ft wide flume. A prediction equation is proposed which is applicable to all three sets of data. Some observations are made based on dimensional analysis and inspection of available data.
P867: CT103A, A NOVEL FULLY HUMAN BCMA-TARGETING CAR-T CELLS IN PATIENTS WITH RELAPSED/REFRACTORY MULTIPLE MYELOMA: UPDATED RESULTS OF PHASE 1B/2 STUDY (FUMANBA-1)

8025 Background: CT103A, which is designed with a fully human BCMA-specific CAR structure, has shown sustained efficacy and durable safety in heavily pretreated relapsed and refractory multiple myeloma patients. Here, we report updated efficacy and safety data of its phase 1b/2 study (FUMANBA-1) with longer duration of follow-up. Methods: FUMANBA-1 is conducted in 14 centers in China. This study enrolled RRMM patients who received ≥ 3 lines of prior therapies containing at least a proteasome inhibitor and an immunomodulatory agent and were refractory to their last line of treatment. Patients who have progressed on previous BCMA CAR-T cell therapy were also included. All patients received a single infusion of CT103A at the dose of 1.0 x 106 CAR-T cells/Kg. The objective is to evaluate the efficacy, safety and PK/PD of CT103A. Results: As of the September 9th, 2022, 103 patients [53.4% male; median age 58.0 years (range 39-70)] with RRMM received CT103A (17 in phase 1b; 86 in phase 2) with a median follow-up of 13.8 months (range 0.4 to 27.2). The treated patients had received a median of 4 (range 3-23) lines of prior therapy. 101 patients were evaluable for efficacy assessment. The median time to first response was 16 days (range 11-179). A 96% ORR was observed, with 74.3% ≥ CR. Median DOR and median PFS have still not reached. The 12-month PFS rate was 78.8% (95% CI: 68.6–85.97). For patients without prior BCMA CAR-T therapy (N = 89), ORR was 98.9% with 78.7% ≥ CR. For patients without prior BCMA CAR-T therapy and received CT103A for more than 6 months as of the cutoff date (N = 81), ORR was 98.8% with 80.2% ≥ CR. For patients with prior BCMA CAR-T cell therapy, 4/5 (80%) of those who achieved sCR still sustained sCR over 18 months post infusion. Of the 101 patients, 95% achieved MRD-negativity with a median time to MRD-negative of 14 days (range 13-185), and all patients with CR/sCR were MRD-negative. Furthermore, 82.4% (95%CI 70.90-89.72%) achieved sustained MRD negativity over 12 months. Since the previous publication in 64th ASH meeting, no new events of CRS and ICANS occurred. The most common ≥ grade 3 treatment-related AEs were still hematologic. The expansion of CT103A reached the median peak level of 87570.6 copies/μg gDNA at a median of 12 days. CT103A was still above lower limit of qualification (100 copies/μg gDNA) in 50.0% (28/56) patients at 12 months and 40.0% (4/10) patients at 24 months after infusion. In addition, only 20 of 103 patients (19.4%) with evaluable samples were detected to be positive for the anti-drug antibody. Conclusions: At a longer median follow-up of 13.8 months, CT103A achieved deep and long-lasting responses in heavily pre-treated patients with MM. Furthermore, patients with prior BCMA CAR-T cell therapy who achieved sCR had sustained sCR over 18 months. CT103A demonstrated a favorable safety profile with no new risk observed with longer follow-up. Clinical trial information: NCT05066646 .
ON ORDERINGS BETWEEN WEIGHTED SUMS OF RANDOM VARIABLES

Linear combinations of independent random variables have been extensively studied in the literature. Xu & Hu [21] and Pan, Xu, & Hu [16] unified the study of linear combinations of independent random variables under the general setup. This paper is a companion one of these two papers. In this paper, we will further study this topic. The results are further generalized to the cases of permutation invariant random variables and of independent but not necessarily identically distributed random variables which are ordered in the likelihood ratio or the hazard ratio order.
Formulation and Evaluation of Oral Mucoadhesive Microspheres of Ofloxacin for Peptic Ulcer Use

A peptic ulcer is a disease that affects the stomach lining caused by Helicobacter pylori. The present research aimed to formulate and evaluate the mucoadhesive microsphere of ofloxacin for the effective and safe treatment of peptic ulcers. The mucoadhesive microspheres were developed using natural polymers like Guar gum, Sodium alginate, and Chitosan using the emulsification cross-linking method. A total of 8 batch formulations were prepared using 23 full factorial designs. The prepared microspheres were evaluated various parameters such as % yield, entrapment efficiency, drug release study, in vitro wash-off test, optimization was done by the design of expert which was further subjected to statistical analysis that was kinetic release mechanism, compatibility studies were performed such as FTIR and DSC. Using factorial design 23 for the maximum possible formulation, the optimized formulation was found to be F5 in terms of better release for a longer time and with better mucoadhesive properties on the use of guar gum, sodium alginate, and chitosan in ratio 1:1:2. Second-order polynomial equations were derived for absorbing responses after the application of ANOVA, after omitting the non-significant (p ≥ 0.05) coefficients. %CDR 56.10 % for an extended period of 8 h, % EE exhibited 86.25±1.16. The sustained release activity of F5 might be due to the adhesion of the polymer to the gastric mucosa for more extended periods of 71 % to 8 h. it is also favoured by the suitable particle size of the optimized formulation. The result indicated that the prepared mucoadhesive microspheres can release the ofloxacin in sustained manner and helps in the management of peptic ulcer. HIGHLIGHTS Ofloxacin loaded mucoadhesive microsphere was prepared for treatment of peptic ulcer The mucoadhesive microspheres were developed using natural polymers A total of 8 batch formulations were prepared using 23 full factorial designs Drug release from the optimized microsphere was 71 % to 8 h The developed microsphere can effectively deliver the drug in stomach part GRAPHICAL ABSTRACT
Systems via Convex Optimization

Mixed performance control problems have been the object of much attention lately. These problems allow for capturing different performance specifications without resorting to approximations or the use of weighting functions, thus elimi- nating the need for trial-and-error-type iterations. In this paper we present a methodology for designing mixed controllers for MIMO systems. These controllers allow for minimizing the worst case peak output due to persistent disturbances, while at the same time satisfying an -norm constraint upon a given closed- loop transfer function. Therefore, they are of particular interest for applications dealing with multiple performance specifications given in terms of the worst case peak values, both in the time and frequency domains. The main results of the paper show that 1) contrary to the case, the problem admits a solution in , and 2) rational suboptimal controllers can be obtained by solving a sequence of problems, each one consisting of a finite-dimensional convex optimization and a four-block problem. Moreover, this sequence of controllers converges in the topology to an optimum.
Hybrid particle swarm optimization algorithm for stochastic vehicle routing problem

To solve the stochastic vehicle routing problem,a novel algorithm,i.e hybrid particle swarm optimization(H-PSO),which combines the population search and the path search algorithms,is proposed based on the new statistical model constructed with the statistical knowledge obtained from the real-life long-term customer service records.This algorithm introduces the guided local search to reduce the passibility that the search for particle swarp falls into the local optima so as to obtain a more optimal solution.The simulation test proves the validity of the H-PSO,and this algorithm also extends the algorithm of VRP.
How organizational climate of silence affects job performance: the role of work engagement and supervisor support among frontline nurses

Background: The growing body of evidence demonstrates both the desirable and undesirable consequences of organizational silence. This study aims to explore the influence of the organizational climate of silence on job performance through the mediating effects of work engagement (WE). Further, the degree to which supervisor support (SS) and work engagement moderate job performance are examined. Methods: A quantitative cross-sectional design was used for the study. Survey data from 14 hospitals and 15 health centers and community-based health planning services (CHPS) compounds in the Western Region of Ghana. We used the variable-to-sample ratio to determine an appropriate and sufficient sample size of 565 respondents. The hierarchical regression technique was employed in estimating the relationship between the variables. Results: In selecting an adequate and appropriate sample size for this current study, we relied on the variable-to-sample ratio. Results from the study showed that top management's attitude to silence and the supervisor's attitude to silence had a significant adverse effect on task performance (β=-.090, p< 0.05) and (β=-.110, p< 0.01). Work engagement had no role in mediating top managers' and supervisors' attitudes toward silence, communication opportunities, and task performance. Supervisor support acted as a moderating factor in the relationship between job engagement and task performance. In contrast, despite the direct positive relationship between supervisor support and contextual performance, it failed to moderate the relationship between work engagement and contextual performance. Conclusion: The study's findings demonstrate the need for health managers and supervisors to become more conscious of silence. The results offer diverse recommendations for encouraging the sharing of relevant ideas, facts, and opinions within the health sector.
Switching robust model-predictive-control strategy for constrained nonlinear system

By adopting the piece-wise embedding scheme,we use a set of linear parameter-varying(LPV)models to approximate a nonlinear system subject to input and state constraints.For each embedding model,a parameter-dependent Lyapunov function is used to obtain the stable control law for the nonlinear system.When the LPV model is switched from one to the other,the switching law,which is obtained by using an off-line design approach,is used to guarantee the feasibility of the initial state at the switching point.In the last part of this paper,we prove the feasibility and stability of this switching control algorithm.The switching robust model-predictive-control strategy is less conservative than the traditional nonlinear predictive control and will greatly reduce the online computational burden.
Deprivation, ill‐health and the ecological fallacy

The use of ecological studies in explaining the relationship between deprivation and ill‐health is widespread in many health applications. However, inferences drawn from these studies about individuals are susceptible to serious bias known as the ecological fallacy. Our paper demonstrates the ecological fallacy effect in this context but also shows how it can be considerably reduced by taking into account different population structures at the aggregate level. Two regression analyses of limiting long‐term illness are performed, one at the individual level and one at the electoral ward level, using the 1991 UK census sample of anonymized records and the small area statistics. The analyses compare several measures of deprivation including the standard Carstairs index, with the separate variables which make up the indices, to determine their effectiveness in explaining rates of illness. Two of the deprivation scores are constructed using latent variable modelling techniques which enable a score to be generated at the individual level as well as at the ward level. It is shown that, given the right choice of socioeconomic variables and taking into account the age structure of the population, it should be possible to construct a single aggregate deprivation index that will explain most of the variation in rates of illness across the study region.
A new species of trapezitine skipper (Lepidoptera: Hesperiidae) from the Kimberley in the Australian Monsoon Tropics

A new species of skipper butterfly, Toxidia aurantia Braby, sp. nov., is illustrated, diagnosed and described from the northern Kimberley of Western Australia. A molecular phylogeny based on one mitochondrial (COX1 barcode fragment) and four nuclear genes (EF1-a, RSB2, RSB5, Wingless) for nearly all members of Toxidia Mabille, 1891 and its sister genus Timoconia Strand, 1909 according to the Maximum Likelihood optimality criterion, indicated that the new species belongs in the Toxidia xanthomera species-group (formerly classified in the genus Neohesperilla Waterhouse & Lyell, 1914) and is most closely related to T. crocea (Miskin, 1889). These two taxa are sister to T. xiphiphora (Lower, 1911). Toxidia aurantia Braby, sp. nov. is currently known from only a limited area on the mainland in the Admiralty Gulf near the Osborn Islands and Borda Island, WA. The discovery of this new species contributes to the emerging picture that the northern Kimberley is likely an area of high species richness for butterflies and day-flying moths within the Australian Monsoon Tropics.
Optimal solution error quantification in variational data assimilation involving imperfect models

The problem of variational data assimilation for a nonlinear evolution model is formulated as an optimal control problem to find the initial condition. If the model is ‘perfect,’ the optimal solution (analysis) error rises because of the presence of the input data errors (background and observation errors). Then, this error is quantified by the covariance matrix, which can be approximated by the inverse Hessian of an auxiliary control problem. If the model is not perfect, the optimal solution error includes an additional component because of the presence of the model error. In this paper, we study the influence of the model error on the optimal solution error covariance, considering strong and weak constraint data assimilation approaches. For the latter, an additional equation describing the model error dynamics is involved. Numerical experiments for the 1D Burgers equation illustrate the presented theory. Copyright © 2016 John Wiley & Sons, Ltd.
ELM behaviour and linear MHD stability of edge ECRH heated ASDEX Upgrade plasmas

In order to test the peeling–ballooning ELM model, ECRH heating was applied to the edge of ASDEX Upgrade type-I ELMy H-mode plasmas to alter the pedestal pressure and current density profiles. The discharges were analysed with respect to ideal MHD stability. While the ELM frequency increased and the pedestal gradients relaxed with edge ECRH, the MHD stability boundary did not change. The results indicate that the peeling–ballooning model is insufficient to fully explain the triggering of ELM instabilities in the presence of edge ECRH heating.
Mass and Angular Momentum of Black Holes in Three Dimensional Gravity Theories with First Order Formalism

We apply the Wald formalism to obtain masses and angular momenta of black holes in three dimensional gravity theories using first order formalism. Wald formalism suggests mass and angular momentum of black hole as an integration of some charge variation form at its boundary. The action of the three dimensional gravity theories can be represented by the form including some auxiliary fields. As well-known examples we have calculated mass and angular momentum of some black holes in topologically massive gravity and new massive gravity theories using first order formalism. We have also calculated mass and angular momentum of BTZ black hole and new type black hole in minimal massive gravity theory with the action represented by first order formalism.
Healthcare access dimensions and uterine cancer survival: a national cancer database study

Objective Disparities exist throughout diagnosis, treatment, and survival for Black patients with uterine cancer. There is limited data on how several healthcare access (HCA) dimensions contribute to these disparities in patients with advanced stage uterine cancer. Methods Using the National Cancer Database (NCDB), we identified patients aged 40-89 years with Stage III-IV uterine cancer between 2004-2015 who received chemotherapy and/or radiotherapy. Race/ethnicity were classified as non-Hispanic (NH)-Black, Hispanic, and NH-White. Variables defined in the NCDB were used to assess HCA affordability, availability, and accessibility. Kaplan-Meier estimates, log-rank test, and multivariable Cox proportional hazards models were used to analyze overall survival. Results Of 43,134 patients, 78.8% of the cohort identified as NH-White, 15.3% NH-Black, and 5.9% Hispanic. NH-Black patients were the most likely to have type II (75.6% vs. 53.9% and 55.4%) and stage IV (40.8% vs. 30.7% and 32.3%) disease compared to NH-White and Hispanic patients. NH-Black patients were more likely than NH-White and Hispanic patients to have government funded insurance (58.6% vs. 50.3% and 50.4%), live in low-income areas (46.4% vs. 14.2% and 29.9%), and receive only chemotherapy (53.5% vs. 43.1% and 46.2%). Having private insurance and receiving treatment at an academic facility were positive predictors of survival. NH-Black patients had worse survival than NH-White patients after adjusting for clinical characteristics and healthcare access dimensions (HR 1.29; 95% CI 1.24, 1.34). Conclusion While HCA affordability and availability predicted survival in patients with advanced stage uterine cancer, additional factors contribute to racial disparities. Compared to NH-White patients, NH-Black patients had more aggressive disease, received only chemotherapy rather than combined therapy, and had worse survival regardless of cancer subtype. Additional dimensions of healthcare access must be explored to remedy uterine cancer disparities.
On the Improvement Methods & System of Trap Evaluation Schemes based on Compatibility Degree and Difference Degree

This paper researches on the improvement methods of trap evaluation schemes in order to help making more scientific petroleum-gas exploration decisions.It gives two improvement methods,optimazation model of compatibility degree maximization and optimazation model of compatibility degree maximization difference degree minimal,which are designed to to evaluate potential of petroleum propecting based on Compatibility Degree and Difference Degree.And it also builds an improvement system based both on four traditional metheds and on the two new ones.This system not only offers more than one evaluation schemes but also gives two improvement schemes.So it meets morden scientific decision-making principles better than many trational evaluation methods which rank traps by only one evaluation schemes.This system is successfully applied in some large oil field in China.
A Cost-Effective Novel Method of Preparing Plastinated Specimens of Brain

The human bodies and organs have traditionally been preserved using formalin solution, although it irritates the eyes, nose and throat. Plastination is an unique and expensive method for preserving biological samples that can be used in teaching and research. Therefore, the goal of the current study was to prepare a cost-effective solution using thermocol to plastinate the brain specimens as a supplement for teaching and research. Two human brains were used in this pilot research project. According to standard procedures, the brains were first fixed in 10% formaldehyde, sectioned horizontally, sagittally and coronally dehydrated in acetone, and then immersed in the plastination solution at room temperature and pressure. Then the specimens were air-dried at room temperature. A team of 62 Anatomists and Pathologists assessed the quality of the specimens using a self-developed grading scale. The grading was provided based on the specimens' clarity, stability, aesthetic look, colour and smell. Statistical analyses was performed using SPSS software, Kruskal Wallis test showed that the lowest mean score was 4.04 provided for colour and highest mean score was 5 provided for the smell with a statistically significant p<0.001. Thus our plastinated specimens were of good quality, durable and handle-friendly. Our study demonstrated that the cost-effective plastination solution (CEPS) procedure is an inexpensive and efficient way to create plastinated specimens that are appropriate for teaching neuroanatomy. KEY WORDS: Brain, Thermocol, Plastination, Cost-Effective Plastination.
How to run orbital-free DFT calculations with GPAW

We present a user’s guide to the orbital-free density-functional theory (OFDFT) implementation available for GPAW. The technical implementation details are given in the paper by Lehtomaki et al. [J. Phys. Chem. 141, 234102 (2014)]. Here we introduce a more or less self-contained introduction to the theoretical details underlying OFDFT and the use of a Kohn-Sham solver, and give the practical guidelines needed to run and understand a GPAW OFDFT calculation. We perform an example calculation of the binding energy of a N2 molecule, explicitly providing the Python codes required for PAW setup generation and grid calculation.
Fabric Defect Detection Using Auto-Correlation Function

This paper introduces a new fabric segmentation approach for detecting fabric defects using auto-correlation function. This proposed approach consists of 4 steps: 1) calculating the texture primitive template by auto-correlation function from defect free fabric image in train phase, 2) enhancing the defect areas, through calculation the difference between each texture primitive template and texture image, 3) constructing the mean image to reduce high frequent information of background image, and 4) compute a perfect automatic threshold to present a binary image as a defect pattern. At the end of paper, validity and robustness of the new approach were proved by some experiments done on different defect types. The results indicate that proposed method is implementable on both patterned and unpatterned fabrics.