Miracle-dz/UniFAR-FTUs huggingface dataset:
Plus the acceleration of the material point moved

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LP ESTIMATES FOR BI-INVARIANT OPERATORS ON COMPACT LIE GROUPS.

Suppose that {mX}XEA is a bounded multi-sequence, and that for all (j) with j ? v and all R > 0 (1) ~~~~~~~E 18(j)MXS 12 C- AR 1-21 j! R'-IXI? c2R Then for 1 < p <oo, {mx} is a multiplier for LP(G). A slightly stronger version of the theorem was proved by Marcinkiewicz [5] in the case when G is the circle group. When G is the n-torus, our theorem corresponds not to Marcinkiewicz' extension of his own result, but to Hlrmander's [4]. (The Hormander result is stated for RI,, but has an obvious analog on the n-torus.) Coifman and G. Weiss [2] have recently found sufficient conditions for multipliers (which are sequences of matrices)
Two interacting ethylene response factors negatively regulate peach resistance to Lasiodiplodia theobromae

Abstract Gummosis is 1 of the most common and destructive diseases threatening global peach (Prunus persica) production. Our previous studies have revealed that ethylene and methyl jasmonate enhance peach susceptibility to Lasiodiplodia theobromae, a virulent pathogen inducing gummosis; however, the underlying molecular mechanisms remain obscure. Here, 2 ethylene response factors (ERFs), PpERF98 and PpERF1, were identified as negative regulators in peach response to L. theobromae infection. Expression of 2 putative paralogs, PpERF98-1/2, was dramatically induced by ethylene and L. theobromae treatments and accumulated highly in the gummosis-sensitive cultivar. Silencing of PpERF98-1/2 increased salicylic acid (SA) content and pathogenesis-related genes PpPR1 and PpPR2 transcripts, conferring peach resistance to L. theobromae, whereas peach and tomato (Solanum lycopersicum) plants overexpressing either of PpERF98-1/2 showed opposite changes. Also, jasmonic acid markedly accumulated in PpERF98-1/2-silenced plants, but reduction in PpPR3, PpPR4, and PpCHI (Chitinase) transcripts indicated a blocked signaling pathway. PpERF98-1 and 2 were further demonstrated to directly bind the promoters of 2 putative paralogous PpERF1 genes and to activate the ERF branch of the jasmonate/ethylene signaling pathway, thus attenuating SA-dependent defenses. The lesion phenotypes of peach seedlings overexpressing PpERF1-1/2 and PpERF98-1/2 were similar. Furthermore, PpERF98-1/2 formed homodimers/heterodimers and interacted with the 2 PpERF1 proteins to amplify the jasmonate/ethylene signaling pathway, as larger lesions were observed in peach plants cooverexpressing PpERF98 with PpERF1 relative to individual PpERF98 overexpression. Overall, our work deciphers an important regulatory network of ethylene-mediated peach susceptibility to L. theobromae based on a PpERF98-PpERF1 transcriptional cascade, which could be utilized as a potential target for genetic engineering to augment protection against L. theobromae-mediated diseases in crops and trees.
Dismantling Structural Racism in Child and Adolescent Psychology: A Call to Action to Transform Healthcare, Education, Child Welfare, and the Psychology Workforce to Effectively Promote BIPOC Youth Health and Development

ABSTRACT The field of clinical child and adolescent psychology is in critical need of transformation to effectively meet the mental health needs of marginalized and minoritized youth. As a field, we must acknowledge and grapple with the racist and colonial structures that support the scientific foundation, education and training of psychologists, and the service systems currently in place to support youth mental health in this country. We argue that to effectuate change toward a discipline that centers inclusivity, intersectionality, anti-racism, and social justice, there are four interrelated systems, structures, or processes that currently support racial inequity and would need to be thoroughly examined, dismantled, and re-imagined: (1) the experience of mental health problems and corresponding access to quality care; (2) the school-to-mental healthcare pathway; (3) the child welfare and carceral systems; and (4) the psychology workforce. A “call to action” is issued to address structural racism in these systems and recommendations are provided to guide clinicians, health care systems, educators, welfare and carceral systems, and those involved in training and retaining psychologists in the field in actions they can take to contribute to transformation. We assert that change will only occur when we individually and collectively take responsibility for the roles we have as agents for radical change within the personal and professional contexts in which we live and work. Only then will the field of clinical child and adolescent psychology be able to address the youth mental health crisis and effectively promote the health and well-being of all children.
A multistate modeling and simulation framework to learn dose–response of oncology drugs: Application to bintrafusp alfa in non‐small cell lung cancer

The dose/exposure‐efficacy analyses are often conducted separately for oncology end points like best overall response, progression‐free survival (PFS) and overall survival (OS). Multistate models offer to bridge these dose‐end point relationships by describing transitions and transition times from enrollment to response, progression, and death, and evaluating transition‐specific dose effects. This study aims to apply the multistate pharmacometric modeling and simulation framework in a dose optimization setting of bintrafusp alfa, a fusion protein targeting TGF‐β and PD‐L1. A multistate model with six states (stable disease [SD], response, progression, unknown, dropout, and death) was developed to describe the totality of endpoints data (time to response, PFS, and OS) of 80 patients with non‐small cell lung cancer receiving 500 or 1200 mg of bintrafusp alfa. Besides dose, evaluated predictor of transitions include time, demographics, premedication, disease factors, individual clearance derived from a pharmacokinetic model, and tumor dynamic metrics observed or derived from tumor size model. We found that probabilities of progression and death upon progression decreased over time since enrollment. Patients with metastasis at baseline had a higher probability to progress than patients without metastasis had. Despite dose failed to be statistically significant for any individual transition, the combined effect quantified through a model with dose‐specific transition estimates was still informative. Simulations predicted a 69.2% probability of at least 1 month longer, and, 55.6% probability of at least 2‐months longer median OS from the 1200 mg compared to the 500 mg dose, supporting the selection of 1200 mg for future studies.
Elderly Pancreatic Adenocarcinoma Cancer Patients Could Benefit From Postoperative Chemotherapy

Objectives The study aim to investigate whether elderly patients with resectable pancreatic ductal adenocarcinoma (PDAC) could benefit from postoperative chemotherapy. Methods This study selects the data of PDAC patients who were diagnosed between 2004 and 2014 from the Surveillance, Epidemiology, and End Results program. Median overall survival (mOS) is determined by Kaplan-Meier survival curves. Multivariate logistic regression analysis and hazard ratio are employed to assess the association among potential prognostic factors. Propensity score matching evaluation is used to reduce bias. Results In total, there are 11,865 PDAC patients selected from the Surveillance, Epidemiology, and End Results database. Elderly PDAC patients have poor prognoses compared with younger (mOS, 15 vs 21 months). The possible reason might be that the elderly patients are less likely to receive postoperative chemotherapy. After propensity score matching, it is found that, for those who receive postoperative chemotherapy, although the mOS of older group is not as good as that of the younger group (mOS, 20 vs 23 months; 18-month survival rate: 53.4% vs 61.3%), the mOS of older group prolonged by postoperative chemotherapy is similar to that of younger group (9 vs 9 months). Conclusions Elderly PDAC patients (≥70 years) might benefit from the currently used postoperative chemotherapy regimens.
Environmental Factors in Nursing Workplaces that Promote Resilience during Pandemics: Scoping Review

Abstract Aim: This scoping review explored the main environmental factors in the workplace that contribute to nursing resilience in respiratory infectious pandemic events. Background: There is strong evidence in the literature about the influence of individual factors on nurses’ resilience and a growing interest on the impact of the workplace environment on these factors. Therefore, a review that synthesizes environmental factors that support nurses’ resilience in pandemic events is timely. Method: A scoping review of publications written in English, Spanish, and Portuguese of registered publications until December 2020 in MEDLINE, Embase, PubMed, Scopus, SciELO, CINAHL, WoS, BVS, and APA identified 10,767 potential papers. Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines were used during the literature review process. The Health Services Workplace Environmental Resilience Model (HSWERM) was used to guide exploration and synthesis. Results: Thirty-two (32) publications met inclusion criteria. Most of the HSWERM workplace factors were mentioned in the literature. The main workplace environmental factors that were identified included communication, inter-professional collaboration, access to equipment, targeted training, and supporting well-being. Conclusions: Recognition of these key environmental factors in the workplace will help to implement more effective actions to promote resiliency prior to and during emergency situations. It will also enable managers to include, in any preparation planning, contingencies to protect these factors with the view of sustainable resilience of nursing staff throughout the emergency event.
Crossroads at the Origin of Prebiotic Chemical Complexity: Hydrogen Cyanide Product Diversification

Products of hydrogen cyanide (HCN) reactivity are suspected to play important roles in astrochemistry and, possibly, the origin of life. The composition, chemical structure, and mechanistic details for formation of products from HCN’s self-reactions have, however, proven elusive for decades. Here, we elucidate base-catalyzed reaction mechanisms for the formation of diaminomaleonitrile and polyimine in liquid HCN using ab initio molecular dynamics simulations. Both materials are proposed as key intermediates for driving further chemical evolution. The formation of these materials is predicted to proceed at similar rates, thereby offering an explanation of how HCN’s self-reactions can diversify quickly under kinetic control. Knowledge of these reaction routes provides a basis for rationalizing subsequent reactivity in astrochemical environments such as on Saturn’s moon Titan, in the subsurface of comets, in exoplanet atmospheres, and on the early Earth.
Can EAT‐10 Become EAT‐5? Improving Measurement Efficiency of Dysphagia with Item Response Theory

To assess: (1) the Eating Assessment Tool (EAT‐10) with item response theory (IRT) to determine which individual items provide the most information, (2) the extent to which dysphagia is measured with subsets of items while maintaining precise score estimates, and (3) if 5‐item scales have the differing discriminatory ability, as compared to the parent 10‐item instrument.
Field Research Is Essential to Counter Virological Threats

The interface between humans and wildlife is changing and, with it, the potential for pathogen introduction into humans has increased. Avian influenza is a prominent example, with an ongoing outbreak showing the unprecedented expansion of both geographic and host ranges. ABSTRACT The interface between humans and wildlife is changing and, with it, the potential for pathogen introduction into humans has increased. Avian influenza is a prominent example, with an ongoing outbreak showing the unprecedented expansion of both geographic and host ranges. Research in the field is essential to understand this and other zoonotic threats. Only by monitoring dynamic viral populations and defining their biology in situ can we gather the information needed to ensure effective pandemic preparation.
RNAincoder: a deep learning-based encoder for RNA and RNA-associated interaction

Abstract Ribonucleic acids (RNAs) involve in various physiological/pathological processes by interacting with proteins, compounds, and other RNAs. A variety of powerful computational methods have been developed to predict such valuable interactions. However, all these methods rely heavily on the ‘digitalization’ (also known as ‘encoding’) of RNA-associated interacting pairs into a computer-recognizable descriptor. In other words, it is urgently needed to have a powerful tool that can not only represent each interacting partner but also integrate both partners into a computer-recognizable interaction. Herein, RNAincoder (deep learning-based encoder for RNA-associated interactions) was therefore proposed to (a) provide a comprehensive collection of RNA encoding features, (b) realize the representation of any RNA-associated interaction based on a well-established deep learning-based embedding strategy and (c) enable large-scale scanning of all possible feature combinations to identify the one of optimal performance in RNA-associated interaction prediction. The effectiveness of RNAincoder was extensively validated by case studies on benchmark datasets. All in all, RNAincoder is distinguished for its capability in providing a more accurate representation of RNA-associated interactions, which makes it an indispensable complement to other available tools. RNAincoder can be accessed at https://idrblab.org/rnaincoder/
Multiplying insights from perturbation experiments: predicting new perturbation combinations

Experimentally exploring the effect of all perturbation combinations is not feasible. In their recent study, Theis and colleagues (Lotfollahi et al, 2023) present an approach that uses deep generative models to predict the effects of new perturbations from high‐throughput single perturbation experiments.
The interrelatedness of cognitive abilities in very preterm and full-term born children at 5.5 years of age: a psychometric network analysis approach.

BACKGROUND Very preterm (VP) birth is associated with a considerable risk for cognitive impairment, putting children at a disadvantage in academic and everyday life. Despite lower cognitive ability on the group level, there are large individual differences among VP born children. Contemporary theories define intelligence as a network of reciprocally connected cognitive abilities. Therefore, intelligence was studied as a network of interrelated abilities to provide insight into interindividual differences. We described and compared the network of cognitive abilities, including strength of interrelations between and the relative importance of abilities, of VP and full-term (FT) born children and VP children with below-average and average-high intelligence at 5.5 years. METHODS A total of 2,253 VP children from the EPIPAGE-2 cohort and 578 FT controls who participated in the 5.5-year-follow-up were eligible for inclusion. The WPPSI-IV was used to measure verbal comprehension, visuospatial abilities, fluid reasoning, working memory, and processing speed. Psychometric network analysis was applied to analyse the data. RESULTS Cognitive abilities were densely and positively interconnected in all networks, but the strength of connections differed between networks. The cognitive network of VP children was more strongly interconnected than that of FT children. Furthermore, VP children with below average IQ had a more strongly connected network than VP children with average-high IQ. Contrary to our expectations, working memory had the least central role in all networks. CONCLUSIONS In line with the ability differentiation hypothesis, children with higher levels of cognitive ability had a less interconnected and more specialised cognitive structure. Composite intelligence scores may therefore mask domain-specific deficits, particularly in children at risk for cognitive impairments (e.g., VP born children), even when general intelligence is unimpaired. In children with strongly and densely connected networks, domain-specific deficits may have a larger overall impact, resulting in lower intelligence levels.
The atmospheric general circulation model with a hybrid vertical coordinate

Abstract The paper presents a new version of the three-dimensional model of general circulation of Earth troposphere-stratosphere-mesosphere (for altitudes up to 90 km from the surface) with a hybrid vertical coordinate. A method of vertical discretization is developed according to the numerical algorithms and preserving the equivalence of algorithms used in previous models. An algorithm of semi-implicit integration in time is proposed. The new version of the model adequately represents climatic characteristics,which are confirmed by comparison of the results of numerical experiments with observation data and with the previous version of the atmospheric circulation model using sigma-coordinates.
Exposure‐response analysis for nivolumab plus ipilimumab combination therapy in patients with advanced hepatocellular carcinoma (CheckMate 040)

This analysis was conducted to inform dose selection of a combination of nivolumab plus ipilimumab for the treatment of sorafenib‐experienced patients with hepatocellular carcinoma (HCC). CheckMate 040 is an open‐label, multicohort, phase I/II trial in adults with advanced HCC that evaluated nivolumab monotherapy (0.1–10 mg/kg once every 2 weeks [q2w]) and the following three combinations of nivolumab plus ipilimumab: (1) nivolumab 1 mg/kg plus ipilimumab 3 mg/kg every 3 weeks (q3w) for four doses, followed by nivolumab monotherapy 240 mg q2w (arm A); (2) nivolumab 3 mg/kg plus ipilimumab 1 mg/kg q3w for four doses, followed by nivolumab monotherapy 240 mg q2w (arm B); and (3) nivolumab 3 mg/kg q2w plus ipilimumab 1 mg/kg every 6 weeks continuously (arm C). Exposure‐response relationships (efficacy and safety) were characterized using nivolumab and ipilimumab concentrations after the first dose (Cavg1) as the exposure measure. Objective tumor response (OTR) and overall survival (OS) improvements were associated with increased ipilimumab exposure (OTR: odds ratio 1.45, 95% confidence interval [CI], 1.13–1.86; OS: hazard ratio 0.86, 95% CI 0.75–0.98), but not nivolumab exposure (OTR: odds ratio 0.99, 95% CI 0.97–1.02; OS: hazard ratio 1.08, 95% CI 0.89–1.32). Hepatic treatment‐related and immune‐mediated adverse events were more common in arm A than in arms B or C. Nivolumab 1 mg/kg plus ipilimumab 3 mg/kg q3w for four doses, followed by nivolumab monotherapy 240 mg q2w had the most favorable benefit:risk profile in patients with advanced HCC.
Bounds of Spectral Radii of Weighted Trees

Graphs for the design of networks or electronic circuits are usually weighted and the spectrum of weighted graphs are often analyzed to solve problems. This paper discusses the spectrum and the spectral radii of trees with edge weights. We derive expressions for the spectrum and the spectral radius of a weighted star, together with the boundary limits of the spectral radii for weighted paths and weighted trees. The analysis uses the theory of nonnegative matrices and applies the "moving edge" technique. Some simple examples of weighted paths and trees are presented to explain the results. Then, we propose some open problems in this area.
Evaluation of a modular all-in-one high-resolution PET detector and readout electronics setup

Objective. The all-in-one solution and modularity of the C13500 series TOF-PET detector modules (Hamamatsu Photonics K.K., Hamamatsu, Japan) make them a highly attractive candidate for the development of positron emission tomography (PET) systems. However, the commercially available portfolio targets clinical whole-body PET systems with a scintillation crystal cross area of 3.1 × 3.1 mm2. To extend the modules for high resolution (preclinical or organ specific) systems, the support for smaller scintillation crystals is required. Approach. In this work, a PET detector was developed based on the TOF-PET modules using a light sharing approach, 16 × 16 lutetium oxyorthosilicate (LSO) scintillation crystals with a size of 1.51 × 1.51 × 10.00 mm3 readout with 8 × 8 photosensor channels of size 3.0 × 3.0 mm2. In addition to hardware and software development, the optimized parameter settings for the adapted configuration were evaluated. Main Results. A factor of two in amplification of the analog signal compared to the minimum gain setting was necessary for an accurate crystal identification (peak-to-valley ratio 14.9 ± 5.9). A further increase to a factor of three was not determined as optimum as the time over threshold duration, thus pile-up probability, increased from 1032.1 ± 109.5 to 1789.5 ± 218.5 ns (photopeak position). With this amplification a full width at half maximum (FWHM) energy resolution of 14.1 ± 2.0% and a high linearity of the energy detection was obtained. A FWHM coincidence resolving time (CRT) of 313 ps was achieved by using a low timing threshold, increasing the bandwidth of the front-end circuit and using a narrow ± 1σ energy window. To approximately double the sensitivity and reduce the power consumption, the timing parameters were adjusted resulting in a FWHM CRT of 354 ps (±2σ). Significance. Based on the results obtained with the proof-of-concept detector setup, we confirm the modularity and flexibility of the all-in-one TOF-PET detector modules for the future development of application-specific high-resolution PET systems.
Generation of Moving Spiral Bands in Tropical Cyclones

Abstract A theory based on the shallow water equation is developed to explain the generation of moving spiral-banded structures in tropical cyclones. The theory proposes that fluctuation of the vorticity distribution in the compact core region can act as a source, generating gravity waves that produce the banded structures. This mechanism is usually called the Lighthill radiation mechanism. A numerical experiment using the Fifth Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5) code is used to test this theory. The moving bands in the simulated tropical cyclone show good agreement with the theoretically calculated gravity waves that emerge from a core region with an elliptical distribution of vorticity. Results of the simulated cyclone also illustrate that spiral cloud bands are triggered by the propagating gravity waves.
Puits multiples en mécanique semi-classique VI. (Cas des puits sous-variétés)

In this paper, we continue the study of the tunneling effect between submanifold wells. In particular, we give the necessary technics to justify Witten's proof of Bott's degenerate Morse Inequalities On poursuit l'etude de l'effet tunnel entre des puits sous-varietes. On fournit en particulier les outils necessaires pour justifier la demonstration de Witten des inegalites de Morse degenerees dues a Bott