cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Neuraxial anesthesia task training workshop for CRNAs
Creators: name: Schiliro, Elizabeth Botto
name: Boccio, Lauren
Publisher: name: No Publisher Supplied
Year: 2021

description: Purpose: The purpose of this project was to provide CRNAs with access to continuing education in neuraxial anesthesia with the use of a neuraxial anesthesia refresher workshop in order to enhance the knowledge, skill, and confidence of CRNAs in performing neuraxial anesthesia independently.Methodology: The sample population for this study included current practicing CRNAs who attended a Statewide Professional Organization for Nurse Anesthesia Virtual Fall Symposium on November 7th, 2020. Those who participated in the workshop completed a pre-intervention survey, followed by a 30-minute workshop featuring a PowerPoint Presentation on neuraxial anesthesia and two videos performing step-by-step techniques on a task-trainer mannequin for both spinal and epidural procedures, followed by a post-intervention survey. The surveys assessed the confidence levels of the participants regarding different aspects of neuraxial anesthesia. Resource sheets for both techniques were created and available for the participants during and after the workshop for their own reference.Results: Results from the neuraxial anesthesia workshop showed that confidence levels regarding knowledge and skill of neuraxial anesthesia increased following the workshop. 52.2% strongly agreed that having the opportunity to refresh their knowledge and skills in neuraxial anesthesia with a neuraxial anesthesia workshop was beneficial to their practice as CRNAs while 46.3% agreed that the workshop was beneficial. Statistical analysis was performed to identify if the neuraxial anesthesia refresher workshop produced statistically significant results. Results of the study were statistically significant in increasing confidence levels of practicing CRNAs. Implications for Practice: Upon completion of the workshop, CRNAs felt more confident in their knowledge of neuraxial anesthesia as well as more confident in their skill level. The results showed that the CRNAs felt that participating in the neuraxial anesthesia workshop was beneficial to their practice as CRNAs. A limitation to the study was the lack of a hands-on component that had to be eliminated due to COVID-19 restrictions. With the distribution of the resource sheet following the workshop, CRNAs will have the ability to reference neuraxial anesthesia in the future, if necessary. With more CRNAs confident in performing neuraxial anesthesia, more patients will be able to benefit from this.
THE STUDY OF THE SANITARY AND HELMINTHOLOGICAL CONDITION OF SAND, THE LAND OF PLAYGROUNDS  IN THE NAZRAN DISTRICT
Creators: name: A.M. Plieva
name: Z.I. Dzarmotova
name: S.I. Bekova
Publisher: name: Zenodo
Year: 2024

description: Interest in the problem of biological pollution of the environment is currently gaining unprecedented acuteness and is directly related to human health. Numerous studies have proven that the environment is intensely polluted with eggs of helminths – parasites of humans and animals and can be a source of infection of the population with parasitic diseases. In the spread of parasitic diseases, factors contributing to the infection of the population, and first of all, the level of contamination with pathogens of soil and water parasitoses, are of great importance. The contamination of individual environmental objects with helminth eggs, their distribution and survival are influenced by various environmental factors.

In this article, the sanitary and parasitological condition of the soil and sand of children's playgrounds in the Nazran district is studied and analyzed.
Die Wahrscheinlichkeitsdichtefunktion des Quadrats der t-Verteilung (Student-Verteilung)
Creators: name: Schröer, Harald
Publisher: name: Zenodo
Year: 2024
Subjects: Wahrscheinlichkeitsdichte, Funktion,Quadrat,t-Verteilung, Student-Verteilung,Verteilungsfunktion, F-Verteilung

description: Die Wahrscheinlichkeitsdichte des Quadrat der t-Verteilung (Student-Verteilung) wird bestimmt.
Document Understanding for Healthcare Referrals
Creators: name: Mistry, Jimit
name: Arzeno, Natalia M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences
subject: I.2.7; I.7.5

description: Reliance on scanned documents and fax communication for healthcare referrals leads to high administrative costs and errors that may affect patient care. In this work we propose a hybrid model leveraging LayoutLMv3 along with domain-specific rules to identify key patient, physician, and exam-related entities in faxed referral documents. We explore some of the challenges in applying a document understanding model to referrals, which have formats varying by medical practice, and evaluate model performance using MUC-5 metrics to obtain appropriate metrics for the practical use case. Our analysis shows the addition of domain-specific rules to the transformer model yields greatly increased precision and F1 scores, suggesting a hybrid model trained on a curated dataset can increase efficiency in referral management.
description: Accepted and presented at the 11th IEEE International Conference on Healthcare Informatics (ICHI) 2023 - Industry Track
Non-Deterministic Learning Dynamics in Large Neural Networks due to Structural Data Bias
Creators: name: Rae, H. C.
name: Heimel, J. A. F.
name: Coolen, A. C. C.
Publisher: name: arXiv
Year: 2000
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: We study the dynamics of on-line learning in large perceptrons, for the case of training sets with a structural bias of the input vectors, by deriving exact and closed macroscopic dynamical laws using non-equilibrium statistical mechanical tools. In sharp contrast to the more conventional theories developed for homogeneously distributed or only weakly biased data, these laws are found to describe a non-trivial and persistently non-deterministic macroscopic evolution, and a generalisation error which retains both stochastic and sample-to-sample fluctuations, even for infinitely large networks. Furthermore, for the standard error-correcting microscopic algorithms (such as the perceptron learning rule) one obtains learning curves with distinct bias-induced phases. Our theoretical predictions find excellent confirmation in numerical simulations.
description: 20 pages
A General Framework for Multivariate Functional Principal Component Analysis of Amplitude and Phase Variation
Creators: name: Happ, Clara
name: Scheipl, Fabian
name: Gabriel, Alice-Agnes
name: Greven, Sonja
Publisher: name: arXiv
Year: 2018
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: Functional data typically contains amplitude and phase variation. In many data situations, phase variation is treated as a nuisance effect and is removed during preprocessing, although it may contain valuable information. In this note, we focus on joint principal component analysis (PCA) of amplitude and phase variation. As the space of warping functions has a complex geometric structure, one key element of the analysis is transforming the warping functions to $L^2(\mathcal{T})$. We present different transformation approaches and show how they fit into a general class of transformations. This allows us to compare their strengths and limitations. In the context of PCA, our results offer arguments in favour of the centered log-ratio transformation. We further embed existing approaches from Hadjipantelis et al. (2015) and Lee and Jung (2017) for joint PCA of amplitude and phase variation into the framework of multivariate functional PCA, where we study the properties of the estimators based on an appropriate metric. The approach is illustrated through an application from seismology.
description: Contains Supplementary Files
Driving under the influence of cannabis and alcohol: Evidence from a national sample of young drivers
Creators: name: Vaughn, Michael G
name: Hodges, James C
name: Salas-Wright, Christopher P
name: Goings, Trenette Clark
name: Hai, Audrey Hang
Publisher: name: Elsevier
Year: 2023

description:
OBJECTIVE: Driving under the influence (DUI) of psychoactive substances is an important public health and criminal justice issue, impacting the lives of millions of Americans. Although recent research provides up-to-date information regarding DUI among adults, there is a pressing need for research that focuses specifically on younger/underage drivers. We draw from a large, nationally-representative sample to provide up-to-date evidence as to the prevalence and key criminal justice, substance use, and behavioral health correlates of DUI of cannabis and alcohol among drivers ages 16 to 20 in the United States. METHODS: We used data from the 2020 and 2021 National Survey on Drug Use and Health (young drivers ages 16-20; N=12,863). All analyses-survey adjusted prevalence estimates, logistic regression-were conducted using Stata SE 17.0 and weighted to account for the study's stratified cluster sampling design. RESULTS: The prevalence of DUI-cannabis for the full sample-including those not endorsing past-year use-was 6.3%. Among youth endorsing past-year cannabis use, 24.5% reported DUI of cannabis. In the full sample and among cannabis users, DUI-cannabis risk was elevated among older and male youth. The prevalence of DUI-alcohol was 2.6% among all youth and 6.1% among youth reporting past-year alcohol consumption. CONCLUSIONS: Estimates indicate that more than one million young drivers each year are placing their lives and those of others at risk by operating motor vehicles after consuming cannabis and/or alcohol. Findings underscore the importance of prevention efforts targeting underaged cannabis and alcohol-impaired driving.
Sens-BERT: Enabling Transferability and Re-calibration of Calibration Models for Low-cost Sensors under Reference Measurements Scarcity
Creators: name: Narayana, M V
name: Rachvarapu, Kranthi Kumar
name: Jalihal, Devendra
name: M, Shiva Nagendra S
Publisher: name: arXiv
Year: 2023
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Low-cost sensors measurements are noisy, which limits large-scale adaptability in airquality monitoirng. Calibration is generally used to get good estimates of air quality measurements out from LCS. In order to do this, LCS sensors are typically co-located with reference stations for some duration. A calibration model is then developed to transfer the LCS sensor measurements to the reference station measurements. Existing works implement the calibration of LCS as an optimization problem in which a model is trained with the data obtained from real-time deployments; later, the trained model is employed to estimate the air quality measurements of that location. However, this approach is sensor-specific and location-specific and needs frequent re-calibration. The re-calibration also needs massive data like initial calibration, which is a cumbersome process in practical scenarios.
 To overcome these limitations, in this work, we propose Sens-BERT, a BERT-inspired learning approach to calibrate LCS, and it achieves the calibration in two phases: self-supervised pre-training and supervised fine-tuning. In the pre-training phase, we train Sens-BERT with only LCS data (without reference station observations) to learn the data distributional features and produce corresponding embeddings. We then use the Sens-BERT embeddings to learn a calibration model in the fine-tuning phase. Our proposed approach has many advantages over the previous works. Since the Sens-BERT learns the behaviour of the LCS, it can be transferable to any sensor of the same sensing principle without explicitly training on that sensor. It requires only LCS measurements in pre-training to learn the characters of LCS, thus enabling calibration even with a tiny amount of paired data in fine-tuning. We have exhaustively tested our approach with the Community Air Sensor Network (CAIRSENSE) data set, an open repository for LCS.
description: 16
Die Wahrscheinlichkeitsdichtefunktion des Quadrats der t-Verteilung (Student-Verteilung)
Creators: name: Schröer, Harald
Publisher: name: Zenodo
Year: 2019
Subjects: Wahrscheinlichkeitsdichte, Funktion,Quadrat,t-Verteilung, Student-Verteilung,Verteilungsfunktion, F-Verteilung

description: Die Wahrscheinlichkeitsdichte des Quadrat der t-Verteilung (Student-Verteilung) wird bestimmt.
Free Energy and Magnetic Penetration Depth of a $d$-Wave Superconductor in the Meissner State
Creators: name: Li, Mei-Rong
name: Hirschfeld, P. J.
name: Woelfle, P.
Publisher: name: arXiv
Year: 1999
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We investigate the free energy and the penetration depth of a quasi-two-dimensional d-wave superconductor in the presence of a weak magnetic field by taking account of thermal, nonlocal and nonlinear effects. In an approximation in which the superfluid velocity $v_s$ is assumed to be slowly varying, the free energy is calculated and compared with available results in several limiting cases. It is shown that either nonlocal or nonlinear effects may cut off the linear-$T$ dependence of both the free energy and the penetration depth in all the experimental geometries. At extremely low $T$, the nonlocal effects will also generically modify the linear $H$ dependence of the penetration depth ("nonlinear Meissner effect") in most experimental geometries, but for supercurrents oriented along the nodal directions, the effect may be recovered. We compare our predictions with existing experiments on the cuprate superconductors.
description: 18 revtex pages with 4 eps figures, final version
Simple stopping criteria for information theoretic feature selection
Creators: name: Yu, Shujian
name: Principe, Jose C.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Information Theory (cs.IT)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Feature selection aims to select the smallest feature subset that yields the minimum generalization error. In the rich literature in feature selection, information theory-based approaches seek a subset of features such that the mutual information between the selected features and the class labels is maximized. Despite the simplicity of this objective, there still remain several open problems in optimization. These include, for example, the automatic determination of the optimal subset size (i.e., the number of features) or a stopping criterion if the greedy searching strategy is adopted. In this paper, we suggest two stopping criteria by just monitoring the conditional mutual information (CMI) among groups of variables. Using the recently developed multivariate matrix-based Renyi's α-entropy functional, which can be directly estimated from data samples, we showed that the CMI among groups of variables can be easily computed without any decomposition or approximation, hence making our criteria easy to implement and seamlessly integrated into any existing information theoretic feature selection methods with a greedy search strategy.
description: Paper published in the journal of Entropy
Classification of Students by Race and Hispanic/Latino/a/x Ethnicity Impacts Estimates of the Prevalence of Substance Use
Creators: name: Webb, Lindsey
name: Sanchez, Delida
name: Running Bear, Ursula
name: Tuitt, Nicole R.
name: Goings, Trenette C.
name: Johnson, Renee M.
Publisher: name: Springer Nature
Year: 2023

description:
Multiracial and Hispanic/Latino/a/x youth are rapidly growing populations in the United States. When considered in substance use studies, they are often treated as homogeneous groups despite important demographic and cultural differences. The current study explores how substance use prevalence may differ depending on how precisely race and ethnicity groups are categorized. Data are from the 2018 High School Maryland Youth Risk Behavior Survey (n = 41,091, 48.4% female). We estimate prevalence of past 30-day substance use (i.e., alcohol, combustible tobacco, e-cigarettes, and marijuana) for all combinations of race and Hispanic/Latino/a/x ethnicity. Substance use prevalence across the specific Multiracial and Hispanic/Latino/a/x categories showed a wider range of estimates than within the traditional CDC racial and ethnic categories. Findings from this study suggest that state- and national-level surveillance of adolescent risk behavior should add further measures of race and ethnic identity to improve researchers’ ability to increase precision of substance use prevalence estimates.
A comment on "The Computational 2D Materials Database: high-throughput modeling and discovery of atomically thin crystals"
Creators: name: Maździarz, Marcin
Publisher: name: arXiv
Year: 2018
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Recently, Sten Haastrup, Mikkel Strange, Mohnish Pandey, Thorsten Deilmann, Per S Schmidt, Nicki F Hinsche, Morten N Gjerding, Daniele Torelli, Peter M Larsen, Anders C Riis-Jensen, Jakob Gath, Karsten W Jacobsen, Jens Jrgen Mortensen, Thomas Olsen and Kristian S Thygesen [2D Mater. 5 (2018) 042002] introduced the Computational 2D Materials Database (C2DB), which organises a variety of structural, thermodynamic, elastic, electronic, magnetic, and optical properties of around 1500 two-dimensional materials distributed over more than 30 different crystal structures. Unfortunately, the work contains serious and fundamental flaws in the field of elasticity and mechanical stability tests what makes it unreliable.
description: 6 pages
Room-temperature quantum optomechanics using an ultra-low noise cavity
Creators: name: Huang, Guanhao
name: Beccari, Alberto
name: Engelsen, Nils J.
name: Kippenberg, Tobias J.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Ponderomotive squeezing of light, where a mechanical oscillator creates quantum correlations between the phase and amplitude of the interacting light field, is a canonical signature of the quantum regime of optomechanics. At room temperature, this has only been reached in pioneering experiments where an optical restoring force controls the oscillator stiffness, akin to the vibrational motion of atoms in an optical lattice. These include both levitated nanoparticles and optically-trapped cantilevers. Recent advances in engineered mechanical resonators, where the restoring force is provided by material rigidity rather than an external optical potential, have realized ultra-high quality factors (Q) by exploiting `soft clamping'. However entering the quantum regime with such resonators, has so far been prevented by optical cavity frequency fluctuations and thermal intermodulation noise. Here, we overcome this challenge and demonstrate optomechanical squeezing at room temperature in a phononic-engineered membrane-in-the-middle system. By using a high finesse cavity whose mirrors are patterned with phononic crystal structures, we reduce cavity frequency noise by more than 700-fold. In this ultra-low noise cavity, we introduce a silicon nitride membrane oscillator whose density is modulated by silicon nano-pillars, yielding both high thermal conductance and a localized mechanical mode with Q of 1.8e8. These advances enable operation within a factor of 2.5 of the Heisenberg limit, leading to squeezing of the probing field by 1.09 dB below the vacuum fluctuations. Moreover, the long thermal decoherence time of the membrane oscillator (more than 30 vibrational periods) allows us to obtain conditional displaced thermal states of motion with an occupation of 0.97 phonon, using a multimode Kalman filter. Our work extends quantum control of engineered macroscopic oscillators to room temperature.
Measurement of the form-factor ratios for D_s^+ -> phi ell^+ nu_ell
Creators: name: Fermilab E791 Collaboration
name: Aitala, E. M.
name: Amato, S.
Publisher: name: arXiv
Year: 1998
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We have measured the form factor ratios r_V = V(0)/A_1(0) and r_2 = A_2(0)/A_1(0) for the decay D_s^+ -> phi ell^+ nu_ell, phi -> K^+ K^-, using data from charm hadroproduction experiment E791 at Fermilab. Results are based on 144 signal and 22 background events in the electron channel and 127 signal and 34 background events in the muon channel. We combine the measurements from both lepton channels to obtain r_V = 2.27 +- 0.35 +- 0.22 and r_2 = 1.57 +- 0.25 +- 0.19.
description: 12 pages, 5 postscript figures
Brick wall diagrams as a completely integrable system
Creators: name: Kade, Moritz
name: Staudacher, Matthias
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study the free energy of an integrable, planar, chiral and non-unitary four-dimensional Yukawa theory, the bi-fermion fishnet theory discovered by Pittelli and Preti. The typical Feynman-diagrams of this model are of regular "brick-wall"-type, replacing the regular square lattices of standard fishnet theory. We adapt A. B. Zamolodchikov's powerful classic computation of the thermodynamic free energy of fishnet graphs to the brick-wall case in a transparent fashion, and find the result in closed form. Finally, we briefly discuss two further candidate integrable models in three and six dimensions related to the brick wall model.
description: v3: published in JHEP, 22 pages, fixed typo in subscript of eq. (3.8a) and (3.9a), improved labels of sub-equations in eq. (5.1) and (A.1), added further acknowledgements
MAgPIE 3.0 Model Documentation
Creators: name: Dietrich, Jan Philipp
name: Bodirsky, Benjamin Leon
name: Humpenöder, Florian
name: Weindl, Isabelle
name: Bonsch, Markus
name: Stevanovic, Miodrag
name: Biewald, Anne
name: Wang, Xiaoxi
name: Klein, David
name: Popp, Alexander
Publisher: name: Zenodo
Year: 2019

description: Technical model description for the land-use modeling framework MAgPIE in version 3.0 Archive from https://redmine.pik-potsdam.de/projects/magpie/wiki
Study of semileptonic decays $B \to πl^+ l^-$ and $B \to ρl^+ l^-$ in non-universal Z' model
Creators: name: Nayek, P.
name: Maji, P.
name: Sahoo, S.
Publisher: name: arXiv
Year: 2018
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Semileptonic B meson decays induced by $b \to s(d) l^+ l^-$ flavour changing neutral current (FCNC) transitions are very important to probe the quark-flavour sector of the standard model (SM) and also offer a probe to test new physics (NP). Although there exists a lot of precise results on $b \to sl^+ l^-$ induced processes, there is lack of sufficient data for $b \to dl^+ l^-$ induced decays. Here, we are interested to study $B \to πl^+ l^-$ and $B \to ρl^+ l^-$ decays which proceed via $b \to dl^+ l^-$ transition at the quark level. In this work, we investigate the differential branching ratio, forward-backward asymmetry, CP violation asymmetry and lepton polarization asymmetry in these two decay channels in a non-universal Z' model. We find a significant deviation from the SM value of these physical observables for these decays which provide a clear conjecture for NP arising from Z' gauge boson.
description: 28 pages, 7 figures
Feature-Critic Networks for Heterogeneous Domain Generalization
Creators: name: Li, Yiying
name: Yang, Yongxin
name: Zhou, Wei
name: Hospedales, Timothy M.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: The well known domain shift issue causes model performance to degrade when deployed to a new target domain with different statistics to training. Domain adaptation techniques alleviate this, but need some instances from the target domain to drive adaptation. Domain generalisation is the recently topical problem of learning a model that generalises to unseen domains out of the box, and various approaches aim to train a domain-invariant feature extractor, typically by adding some manually designed losses. In this work, we propose a learning to learn approach, where the auxiliary loss that helps generalisation is itself learned. Beyond conventional domain generalisation, we consider a more challenging setting of heterogeneous domain generalisation, where the unseen domains do not share label space with the seen ones, and the goal is to train a feature representation that is useful off-the-shelf for novel data and novel categories. Experimental evaluation demonstrates that our method outperforms state-of-the-art solutions in both settings.
description: Presented at ICML 2019
Sexual minorities and substance use treatment utilization: New evidence from a national sample
Creators: name: Goings, Trenette C
name: Hodges, James C
name: Oh, Sehun
name: Vaughn, Michael G
name: Salas-Wright, Christopher P
Publisher: name: Elsevier
Year: 2023

description:
INTRODUCTION: Minority stress theory suggests that sexual minorities would be, on average, less likely than heterosexual individuals to seek out substance use treatment (due to concerns of stigma and rejection). However, prior research on the subject is mixed, and largely dated. In light of historic increases in societal acceptance and legal protections for sexual minorities, the field needs an up-to-date assessment of treatment utilization among this population. METHODS: This study used data from the 2015-2019 National Survey on Drug Use and Health to examine the association between key independent variables (sexual identity, gender) and substance use treatment utilization using binary logistic regression. We conducted analyses using a sample of adults with a past-year substance use disorder (N = 21,926). RESULTS: Controlling for demographic factors, with heterosexual individuals as the comparison group, gay/lesbian individuals (AOR = 2.12, CI = 1.19-3.77) were significantly more likely and bisexual individuals (AOR = 0.49, CI = 0.24-1.00) significantly less likely to report treatment utilization. Bisexual individuals were also less likely than gay/lesbian individuals to report treatment utilization (AOR = 0.10, CI = 0.05-0.23). Interaction tests examining sexual orientation and gender showed no difference in treatment utilization between gay men and lesbian women, and revealed that bisexual identity was associated with decreased likelihood of treatment utilization for men (p = .004) but not for women. CONCLUSION: Sexual orientation, particularly in the context of social identity, plays a significant role in substance use treatment utilization. Bisexual men face unique barriers to treatment, which is concerning given the high rates of substance use among this and other sexual minority populations.
Weak-Lensing Detection of Intracluster Filaments in the Coma Cluster
Creators: name: HyeongHan, Kim
name: Jee, M. James
name: Cha, Sangjun
name: Cho, Hyejeon
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Our concordance cosmological model predicts that galaxy clusters grow at the intersection of filaments structuring the cosmic web stretching tens of Mega parsecs. Although this hypothesis has been supported by the baryonic components, no observational study has detected the dark matter component of the intracluster filaments (ICFs), the terminal segment of the large-scale cosmic filaments at their conjunction with individual clusters. We report weak-lensing detection of ICFs in the Coma cluster field from the ~12 sq. deg Hyper Suprime-Cam imaging data. The detection is based on two methods: matched-filter technique and shear-peak statistic. The matched-filter technique (shear-peak statistic) yields detection significances of 6.6- (3.1) $σ$ and 3.6- (2.8) $σ$ for the northern and western ICFs at 110$^{\circ}$ and 340$^{\circ}$, respectively. Both ICFs are highly correlated with the overdensities in the WL mass reconstruction and are well-aligned with the known large-scale ($>10$ Mpc) cosmic filaments comprising the Coma supercluster.
description: Accepted for publication by Nature Astronomy (2024). The current submission will differ from the published one
INTENSIFICATION OF MINING OF THE SOUTHERN  PART OF THE SARBAI PIT
Creators: name: T.S. Mazanov
name: S.L. Kuzmin
Publisher: name: Zenodo
Year: 2024

description: The article discusses the technology of intensifying mining operations when mining reserves of the southern wall of the Sarbai pit. The article discusses the development of transverse faces. The pit was laid out using wide working shelves. Double-sided loading is used. A comparison of calendar schedules was made.
Low temperature series expansions for the square lattice Ising model with spin S > 1
Creators: name: Jensen, I
name: Guttmann, A J
name: Enting, I G
Publisher: name: arXiv
Year: 1996
Subjects: subject: Condensed Matter (cond-mat)
subject: FOS: Physical sciences

description: We derive low-temperature series (in the variable $u = \exp[-βJ/S^2]$) for the spontaneous magnetisation, susceptibility and specific heat of the spin-$S$ Ising model on the square lattice for $S=\frac32$, 2, $\frac52$, and 3. We determine the location of the physical critical point and non-physical singularities. The number of non-physical singularities closer to the origin than the physical critical point grows quite rapidly with $S$. The critical exponents at the singularities which are closest to the origin and for which we have reasonably accurate estimates are independent of $S$. Due to the many non-physical singularities, the estimates for the physical critical point and exponents are poor for higher values of $S$, though consistent with universality.
description: 14 pages, LaTeX with IOP style files (ioplppt.sty), epic.sty and eepic.sty. To appear in J. Phys. A
Composition of indoor organic surface films in residences: simulating the influence of sources, partitioning, particle deposition, and air exchange
Creators: name: Waring, Michael S
name: Cummings, Bryan E
name: Morrison, Glenn C
name: Shiraiwa, Manabu
name: Lakey, Pascale S J
Publisher: name: Royal Society of Chemistry (RSC)
Year: 2024

description: Indoor surfaces are coated with organic films that modulate thermodynamic interactions between the surfaces and room air. Recently published models can simulate film formation and growth via gas-surface partitioning, but none have statistically investigated film composition. The Indoor Model of Aerosols, Gases, Emissions, and Surfaces (IMAGES) was used here to simulate ten years of nonreactive film growth upon impervious indoor surfaces within a Monte Carlo procedure representing a sub-set of North American residential buildings. Film composition was resolved into categories reflecting indoor aerosol (gas + particle phases) factors from three sources: outdoor-originating, indoor-emitted, and indoor-generated secondary organic material. In addition to gas-to-film partitioning, particle deposition was modeled as a vector for organics to enter films, and it was responsible for a majority of the film mass after ∼1000 days of growth for the median simulation and is likely the main source of LVOCs within films. Therefore, the organic aerosol factor possessing the most SVOCs contributes most strongly to the composition of early films, but as the film ages, films become more dominated by the factor with the highest particle concentration. Indoor-emitted organics (e.g. from cooking) often constituted at least a plurality of the simulated mass in developed films, but indoor environments are diverse enough that any major organic material source could be the majority contributor to film mass, depending on building characteristics and indoor activities. A sensitivity analysis suggests that rapid film growth is most likely in both newer, more air-tight homes and older homes near primary pollution sources.
The Conformal Spin and Statistics Theorem
Creators: name: Guido, Daniele
name: Longo, Roberto
Publisher: name: arXiv
Year: 1995
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Functional Analysis (math.FA)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We prove the equality between the statistics phase and the conformal univalence for a superselection sector with finite index in Conformal Quantum Field Theory on $S^1$. A relevant point is the description of the PCT symmetry and the construction of the global conjugate charge.
description: plain tex, 22 pages
Design, fabrication and characterization of kinetic-inductive force sensors for scanning probe applications
Creators: name: Roos, August K.
name: Scarano, Ermes
name: Arvidsson, Elisabet K.
name: Holmgren, Erik
name: Haviland, David B.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: We describe a transducer for low-temperature atomic force microscopy based on electromechanical coupling due to a strain-dependent kinetic inductance of a superconducting nanowire. The force sensor is a bending triangular plate (cantilever) whose deflection is measured via a shift in the resonant frequency of a high-Q superconducting microwave resonator at 4.5 GHz. We present design simulations including mechanical finite-element modeling of surface strain and electromagnetic simulations of meandering nanowires with large kinetic inductance. We discuss a lumped-element model of the force sensor and describe the role of an additional shunt inductance for tuning the coupling to the transmission line used to measure the microwave resonance. A detailed description of our fabrication is presented, including information about the process parameters used for each layer. We also discuss the fabrication of sharp tips on the cantilever using focused electron beam-induced deposition of platinum. Finally, we present measurements that characterize the spread of mechanical resonant frequency, the temperature dependence of the microwave resonance, and the sensor's operation as an electromechanical transducer of force.
description: 15 pages, 10 figures, 1 table
Jet Production in DIS at NLO
Creators: name: Mirkes, Erwin
name: Zeppenfeld, Dieter
Publisher: name: arXiv
Year: 1997
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Dijet production in DIS is an important laboratory for testing our understanding of perturbative QCD. Flexible NLO Monte Carlo programs allow to investigate general jet definition schemes. For forward jet production at $p_{Tj} \approx Q$ and $x_{jet} >> x$ the NLO predictions fall well below HERA data, thus providing evidence for BFKL dynamics.
description: 6 pages, Latex, Talk given at 5th International Workshop on Deep Inelastic Scattering and QCD, Chicago, Illinois, USA, 14-18 April 1997
Data-driven design of multilayer hyperbolic metamaterials for near-field thermal radiative modulator with high modulation contrast
Creators: name: Liao, Tuwei
name: Zhao, C. Y.
name: Wang, Hong
name: Ju, Shenghong
Publisher: name: arXiv
Year: 2023
Subjects: subject: Optics (physics.optics)
subject: Applied Physics (physics.app-ph)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: The thermal modulator based on the near-field radiative heat transfer has wide applications in thermoelectric diodes, thermoelectric transistors, and thermal storage. However, the design of optimal near-field thermal radiation structure is a complex and challenging problem due to the tremendous number of degrees of freedom. In this work, we have proposed a data-driven machine learning workflow to efficiently design multilayer hyperbolic metamaterials composed of $α$-MoO$_{\rm 3}$ for near-field thermal radiative modulator with high modulation contrast. By combining the multilayer perceptron and Bayesian optimization, the rotation angle, layer thickness and gap distance of the multilayer metamaterials are optimized to achieve a maximum thermal modulation contrast ratio of 6.29. This represents a 97% improvement compared to previous single layer structure. The large thermal modulation contrast is mainly attributed to the alignment and misalignment of hyperbolic plasmon polaritons and hyperbolic surface phonon polaritons of each layer controlled by the rotation. The results provide a promising way for accelerating the designing and manipulating of near-field radiative heat transfer by anisotropic hyperbolic materials through the data-driven style.
Transforming native exosomes to engineered drug vehicles: A smart solution to modern cancer theranostics
Creators: name: Panda, Munmun
name: Sahoo, Rajeev Kumar
name: Biswal, Bijesh Kumar
name: Mathapati, Santosh S.
name: Biswal, Stuti
name: Tripathi, Surya Kant
Publisher: name: Wiley
Year: 2024

description: Exosomes have been the hidden treasure of the cell in terms of cellular interactions, transportation and therapy. The native exosomes (NEx) secreted by the parent cells hold promising aspects in cancer diagnosis and therapy. NEx has low immunogenicity, high biocompatibility, low toxicity and high stability which enables them to be an ideal prognostic biomarker in cancer diagnosis. However, due to heterogeneity, NEx lacks specificity and accuracy to be used as therapeutic drug delivery vehicle in cancer therapy. Transforming these NEx with their innate structure and multiple receptors to engineered exosomes (EEx) can provide better opportunities in the field of cancer theranostics. The surface of the NEx exhibits numeric receptors which can be modified to pave the direction of its therapeutic drug delivery in cancer therapy. Through surface membrane, EEx can be modified with increased drug loading potentiality and higher target specificity to act as a therapeutic nanocarrier for drug delivery. This review provides insights into promising aspects of NEx as a prognostic biomarker and drug delivery tool along with its need for the transformation to EEx in cancer theranostics. We have also highlighted different methods associated with NEx transformations, their nano-bio interaction with recipient cells and major challenges of EEx for clinical application in cancer theranostics.
Supersymmetry And Electron-hole Excitation in Semiconductor At Finite Temperature
Creators: name: Xue, Xun
name: Ferraz, Alvaro
Publisher: name: arXiv
Year: 1996
Subjects: subject: Condensed Matter (cond-mat)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The fermionic and bosonic electron-hole low lying excitations in a semiconductor are analyzed at finite temperature in a unified way following Nambu's quasi-supersymmetric approach for the BCS model of superconductivity. The effective lagrangian for the fermionic modes and for the bosonic low lying collective excitations in the semiconductor is no longer supersymmetric in a conventional finite temperature treatment. However the bosonic excitations don't couple directly to the heat bath and as a result, quasisupersymmetry is restored to the effective lagrangian when a redefinition of the coupling constant associated with the collective excitations is performed. Our result shows that although the mass and coupling parameters are now temperature dependent, the fermion and boson excited states pair together and can still be transmuted into one another.
description: 23 pages with 3 independent EPS figures; to appear in Nulear Physics B
BIPOC Experiences of (anti-)Racist Patient Engagement in Adolescent and Young Adult Oncology Research: an Electronic Delphi Study
Creators: name: Roth, Michael E
name: Thomas, Bria N
name: Tucker-Seeley, Reginald D
name: Davies, Simon J
name: Helbling, Laura E
name: Carter, Jay
name: Lewis, Mark A
name: Katerere-Virima, Thuli
name: Betz, Gail D
name: Ross, Valentina A
name: Causadias, José M
name: Lopes, Gilberto
name: Berthaud, Frantz M
name: Jones, Laundette P
name: Miller, Kimberly A
name: Simmons, Cole D
name: Brandon, Rachel E
name: Cheung, Christabel K
name: Lee, Haelim
name: Goings, Trenette Clark
name: Gilman, Megan L
Publisher: name: Taylor & Francis
Year: 2024

description:
Aims: To characterize Black, Indigenous and People of Color (BIPOC) adolescent and young adult (AYA) cancer patients' experiences of patient engagement in AYA oncology and derive best practices that are co-developed by BIPOC AYAs and oncology professionals. Materials & methods: Following a previous call to action from AYA oncology professionals, a panel of experts composed exclusively of BIPOC AYA cancer patients (n = 32) participated in an electronic Delphi study. Results: Emergent themes described BIPOC AYA cancer patients' direct experiences and consensus opinion on recommendations to advance antiracist patient engagement from BIPOC AYA cancer patients and oncology professionals. Conclusion: The findings reveal high-priority practices across all phases of research and are instructional for advancing health equity.
Measurement of the flux and zenith-angle distribution of upward through-going muons by Super-Kamiokande
Creators: name: Kamiokande Collaboration
Publisher: name: arXiv
Year: 1998
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: A total of 614 upward through-going muons of minimum energy 1.6 GeV are observed by Super-Kamiokande during 537 detector live days. The measured muon flux is 1.74+/-0.07(stat.)+/-0.02(sys.)x10^{-13}cm^{-2}s^{-1}sr^{-1} compared to an expected flux of 1.97+/-0.44(theo.)x10^{-13}cm^{-2}s^{-1}sr^{-1}. The absolute measured flux is in agreement with the prediction within the errors. However, the zenith angle dependence of the observed upward through-going muon flux does not agree with no-oscillation predictions. The observed distortion in shape is consistent with the ν_μ ν_τoscillation hypothesis with \sin^22θ> 0.4 and 1x10^{-3} < Δm^2 < 1x10^{-1} eV^{2} at 90% confidence level.
description: 8 pages w/ 3 figures new version contains minor fixes, as it appears in PRL
Slepton searches in the trilinear RPV SUSY scenarios at the HL-LHC and HE-LHC
Creators: name: Choudhury, Arghya
name: Mondal, Arpita
name: Mondal, Subhadeep
name: Sarkar, Subhadeep
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In this work we have studied a multi-lepton final state arising from sneutrino and left-handed slepton production at the high luminosity and high energy LHC in the context of R-parity violating supersymmetry when only the lepton number violating $λ_{121}$ and/or $λ_{122}$ couplings are non-zero. We have taken into account both pair production and associated production of the three generations of left-handed sleptons and sneutrinos, which are assumed to be mass degenerate. The lightest supersymmetric particle is assumed to be bino and it decays via the R-parity violating couplings into light leptons and neutrinos. Our final state has a large lepton multiplicity, $N_{l}\geq 4~(l=e,~μ)$. We perform both cut-based and machine learning based analyses for comparison. We present our results in the bino-slepton/sneutrino mass plane in terms of exclusion and discovery reach at the LHC. Following our analysis, the slepton mass can be discovered upto $\sim$ 1.54 TeV and excluded upto $\sim$ 1.87 TeV at the high luminosity LHC while these ranges go upto $\sim$ 2.46 TeV and $\sim$ 3.06 TeV respectively at the high energy LHC.
description: 15 pages, 7 figures, 5 Tables
Protecting large old trees in wood-pastures - A proteção das árvores antigas e de grande porte em sistemas silvopastoris
Creators: name: Hartel, Tibor
Publisher: name: Zenodo
Year: 2017
Subjects: large trees
biodiversity
sustainability
oak
citizenship
tourism in the forest
árvores de grande porte
biodiversidade
sustentabilidade
carvalho
cidadania
turismo em ambiente florestal

description: Tradução de leaflet do projeto AGFORWARD - A manutenção de elevada biodiversidade em paisagens produtivas é um desafio chave para a conservação. As árvores antigas de grande porte são um elemento chave para o valor ecológico destes sistemas silvopastoris. As cavidades no lenho e a casca envelhecida constituem uma herança biológica e ecológica que cria uma larga diversidade de habitats para muitos organismos. Podem ter também uma grande importância sociocultural em certos contextos (p. ex., como expressão da identidade rural, e como locais para eventos populares e turismo). As árvores grandes e antigas estão em declínio acentuado nas paisagens dominadas pela produção económica, incluindo as pastagens, por não serem explicitamente reconhecidas pelas políticas agrícolas, florestais e da conservação da natureza. Um desafio chave para a sua sustentabilidade em sistemas silvopastoris consiste em assegurar que o seu valor tangível e intangível seja totalmente reconhecido pelas comunidades locais e, mais formalmente, pelas políticas agrícolas, florestais e de conservação da natureza.
Racial disparities in endometrial cancer: Where are we after 26 years?
Creators: name: Tillman, Ronda Henry
name: Spann, Cyril O
name: Mathews, Roland P
name: Butler, Raleigh
name: Clare, Camille A
name: Hicks, Maya M
name: Khabele, Dineo
name: Lawson, Yolanda R
name: Parham, Groesbeck P
name: Hicks, Michael L
name: Balogun, Onyinye
Publisher: name: Elsevier
Year: 2024

description:
INTRODUCTION: Endometrial cancer is the most commonly diagnosed female genital tract malignancy in the United States of America. Racial disparities surrounding this particular disease have been extensively investigated for over 26-years. We sought to determine if research in this area has led to any significant improvements in this disparity. METHODS: We performed a rapid systematic review of English language publications on racial disparities in endometrial cancer among African American (AAW) and white American women (WAW), from 1997 to 2023. We looked at trends in incidence and survival; impact of known poor prognostic factors (stage at diagnosis, histological subtypes, grade); co-morbidities; differences in treatment (surgery, radiation and chemotherapy); socioeconomic factors; differences in biological and genetic markers; and policies/declarations. RESULTS: During the period under review (1997-2023), there was a notable increase in both disease incidence (39%) and mortality (26%) rates for AAW, in comparison to WAW among whom the incidence rates increased by 2% and mortality rates rose, but 9% less than for AAW. It should be noted that the current incidence rate of 29.4% in AAW represent a reversal of what is was 26-years ago, when the incidence rate was 17.8%. In comparison to WAW, AAW had a higher prevalence of poor prognostic variables, more co-morbidities, lower income levels, less insurance coverage, and were more frequently under treated with surgery, chemotherapy and radiation. To date no actionable molecular/genetic markers have been identified. We were unable to locate any published recommendations or active programs of implementation strategies/policies designed to effectively mitigate the documented racial disparity. CONCLUSION: Racial disparities in disease incidence and mortality in endometrial cancer rates between WAW and AAW have widened during a 26-year period of robust research, suggesting that current research alone is not enough to eliminate this disparity. Based on this rapid systematic review we have identified and analyzed the impact of causation variables on this disparity. Additionally, we have made strong and pertinent recommendations for the benefit of mitigating this escalating racial disparity.