Exact Statistics Research Articles

Pregnancy-induced Hypertension: What Are the Associated Factors in Rural Areas? A Study from Rural Dehradun, Uttarakhand

Abstract Background: Pregnancy-induced hypertension (PIH) is a major significant cause of adverse pregnancy outcomes – mortality and morbidities in both mother and foetus. Aims: The present study aims to determine the prevalence of PIH and its associated factors among pregnant women attending antenatal care in rural field areas of a tertiary care hospital in Uttarakhand. Patients and Methods: A cross-sectional study was conducted on pregnant women-seeking antenatal services from January 2020 to October 2020 at three sub-centres (Raiwala, Pratit Nagar and Haripur Kala) of the Primary Health Centre (Raiwala) after giving informed consent. A sample size of 113 was calculated and included in our study. A pre-tested structured schedule was used to interview the study participants after a pilot test. Blood pressure was determined using an average of three measurements, and some clinical and laboratory findings were reviewed from medical records; these were mainly the mother-child protection card. Data were presented as frequency, percentage frequencies and the results are presented with the table. Fisher’s exact statistics were calculated for the association with pregnancy-induced hypertension, and logistic regression was performed to identify independent predictors. P <0.05% was considered statistically significant. Results: The prevalence of PIH among total study participants in Dehradun District, Uttarakhand, was 6.2% (95% confidence interval [CI], 1.8%–10.6%). The majority of respondents were noted in ≤ 30 years of age group (91.15%), followed by > 30 years of age group (8.84%). In univariate regression, factors such as age, pre-term birth, abortion, pedal oedema, blurred vision, proteinuria, present history of gestational diabetes mellitus, present history of diabetes, present history of other morbidities, past history of diabetes, past history of other morbidities, i.e. surgeries, otitis media, obesity and thyroid, family history of hypertension and family history of diabetes were associated with pregnancy-induced hypertension. In multivariate logistic regression, maternal age (adjusted odds ratio AOR = 18.29, 95 CI% =2.3–141.4, P = 0.005*), pre-term birth (AOR = 61.7, 95% CI = 3.5–1071.3, P = 0.005*), (proteinuria AOR = 8, CI = 0.80–79.6, P = 0.006*), gestational diabetes (AOR = 19.9, CI = 2.9–133.06, P = 0.002*), history of other morbidities (AOR = 13.4, 95% CI; 1.7–106.5, P = 0.014*) and family history of diabetes (AOR; 8.7, 95% CI = 1.7–43.3, P = 0.008*) were found as the predictor factors for developing PIH. Conclusions: Early detection and treatment of pregnancy-induced hypertension and risk factors in pregnant women by healthcare professionals and policy-makers at the community level should be strengthened.

Efficacy of a smoking cessation program for patients with lung cancer.

357 Background: Smoking cessation improves overall mortality and cancer-specific mortality in patients with lung cancer. However, cessation is rarely successful without medical assistance, indicating a need for focused intervention in patients with lung cancer. Referrals for formal counseling can facilitate access to smoking cessation resources and serve as an impetus for cessation. In this study, we analyzed the efficacy of the smoking cessation program at our institution’s cancer center and identified opportunities for improvement in patient outreach, education, recruitment, and retention. Methods: A retrospective chart review of patients at our institution's cancer-dedicated smoking cessation center was conducted between January 1, 2022, to August 31, 2023. All referred patients with primary lung cancer or documented lung metastasis were included. Patient demographic and medical information were collected from the electronic medical record. Data was analyzed with descriptive (frequency, mean, median, interquartile ranges (IQR), 95% confidence interval) and inferential (t-test, Chi-Squared/Fisher’s Exact) statistics. P-value <0.05 was deemed significant. Results: 138 patients were referred for smoking cessation counseling, 24 (17.4%) attended counseling, and 14 (58.3%) attended ≥2 visits. Patients had a median time from referral to first session of 14 days (IQR=8.5). All counseled patients were prescribed nicotine replacement therapy (NRT) with 19 receiving multiple modalities. Of the 23 patients actively smoking at first meeting, 19 (82.6%) saw some reduction in packs/day (PPD) compared with 55 (51.9%, n=106) in actively smoking non-counseled patients (p=0.006). Counseled patients saw improvement in packs/day smoking with a mean reduction of 0.66 PPD (p=0.0001, [0.36, 0.95 95% CI]). Patients who attended >2 meetings saw a mean PPD reduction of 1.13 (p=0.004, [0.49, 1.78 95% CI]). In patients who did not attend counseling, 82 (71.9%, n=114) were never successfully contacted. There was no significant difference in age, gender, race, or insurance between patients who attended or did-not-attend counseling. Conclusions: Our smoking cessation program demonstrates effectiveness in facilitating a significant decrease in PPD. However, low utilization presents an opportunity for quality improvement to identify barriers to engagement and improve patient outreach. Proposed interventions include strategies such as patient-portal mediated outreach, provider reminders in the EMR, and utilization of referral and scheduling at initial oncology appointment as quality metrics. Smoking cessation program. Program Efficacy Number of Visits Mean Packs/Day Decrease [95% CI] 1 (n=9) 0.31 [-0.12, 0.73] 2 (n=6)* 0.56 [0.20, 0.91] >2 (n=8)** 1.13 [0.49, 1.78] Total (n=23)*** 0.66 [0.36, 0.95] Attended Counseling n (%) Did Not Attend Counseling n (%) Patients with Any Decrease in Packs/Day* 19 (82.6) 55 (51.9) Patients Attaining Relapse Free Cessation 9 (37.5) 26 (22.8) *p<0.05, **p<0.005, ***p<0.0005.

Absence of quantum optical coherence in high harmonic generation

The optical phase of the driving field in the process of high harmonic generation and the coherence properties of the harmonics are fundamental concepts in attosecond physics. Here, we consider driving the process by incoherent classical and nonclassical light fields exhibiting an undetermined optical phase. With this, we introduce the notion of quantum optical coherence into high harmonic generation and show that high harmonics can be generated from incoherent radiation despite having a vanishing electric field. We explicitly derive the quantum state of the harmonics when driven by carrier-envelope phase unstable fields and show that the generated harmonics are incoherent and exhibit zero electric field amplitudes. We find that the quantum state of each harmonic is diagonal in its photon number basis, but nevertheless has the exact same photon statistics as the widely considered coherent harmonics. From this, we conclude that assuming coherent harmonic radiation can originate from a preferred ensemble fallacy. These findings have profound implications for attosecond experiments and how to infer the harmonic radiation properties. Published by the American Physical Society 2024

Splitting probabilities as optimal controllers of rare reactive events.

The committor constitutes the primary quantity of interest within chemical kinetics as it is understood to encode the ideal reaction coordinate for a rare reactive event. We show the generative utility of the committor in that it can be used explicitly to produce a reactive trajectory ensemble that exhibits numerically exact statistics as that of the original transition path ensemble. This is done by relating a time-dependent analog of the committor that solves a generalized bridge problem to the splitting probability that solves a boundary value problem under a bistable assumption. By invoking stochastic optimal control and spectral theory, we derive a general form for the optimal controller of a bridge process that connects two metastable states expressed in terms of the splitting probability. This formalism offers an alternative perspective into the role of the committor and its gradients in that they encode force fields that guarantee reactivity, generating trajectories that are statistically identical to the way that a system would react autonomously.

Transcriptomic and epigenetic characterization of mucinous adenocarcinoma of the cervix.

e17518 Background: Mucinous adenocarcinoma of the cervix (MAC) is a rare and aggressive histologic subtype of cervical cancer with poorer prognosis than its more common counterparts, usual type endocervical adenocarcinoma (UEA) and squamous cell carcinoma (SCC). MAC is also known to be less responsive to standard chemotherapy and radiation approaches used to treat cervical cancer. In this study, we sought to identify transcriptomic and epigenetic features of MAC that distinguish MAC from UEA and SCC, and to identify features that may contribute to poorer prognosis in MAC compared to UEA and SCC. Methods: Clinical data, gene expression, miRNA expression, and methylation data for 17 MAC, 27 UEA, and 247 SCC from The Cancer Genome Atlas Cervical Cancer Project were obtained and analyzed. Clinical data were compared for the histologic groups using Fisher’s Exact, ANOVA, and Kruskal-Wallis statistics where appropriate. Kaplan-Meier curves were used for survival analyses. Gene expression data was analyzed using DESeq2 for differential expression of mRNA. Pathway enrichment analysis of gene expression data was completed using Qiagen IPA Core Analysis software. Comparative marker selection was used to determine differential expression of miRNA, and differential methylation across histologic subtypes. Analyses were completed both by histology and by disease-progression status. Data across all three platforms were integrated to evaluate for potential explanatory relationships of interest. Results: RNAseq analysis revealed a number of genes differentially expressed in MAC as compared to UEA and SCC. Several of these genes were also found to be differentially expressed in samples from patients with disease progression compared to those without known disease progression including increased expression of PPARGC1A, SLC2A1, and ZNF703 and decreased expression of NR4A3. Analysis also revealed hypomethylation at CpG probe sites mapping to SLC2A1 and decreased expression of miRNAs known to target SLC2A1 and PPARGC1A in MAC tumors . Pathways involving translation regulation, EIF2 signaling, and oxidative phosphorylation were downregulated in MAC whereas pathways involving mitochondrial dysfunction, glucose metabolism, and estrogen receptor signaling were upregulated in MAC. Downregulation of immune and inflammatory response pathways and upregulation of tumor-supporting macrophage activation was seen in MAC tumors with disease progression. Conclusions: We identified novel transcriptomic and epigenetic features and altered pathways in MAC, as well as those features and pathways associated with poorer prognosis in this population. These findings may contribute to further confirmatory research and lead to novel therapeutic strategies for this rare cancer.

Exact extreme, order, and sum statistics in a class of strongly correlated systems.

Even though strongly correlated systems are abundant, only a few exceptional cases admit analytical solutions. In this paper we present a large class of solvable systems with strong correlations. We consider a set of N independent and identically distributed random variables {X_{1},X_{2},...,X_{N}} whose common distribution has a parameter Y (or a set of parameters) which itself is random with its own distribution. For a fixed value of this parameter Y, the X_{i} variables are independent and we call them conditionally independent and identically distributed. However, once integrated over the distribution of the parameter Y, the X_{i} variables get strongly correlated yet retain a solvable structure for various observables, such as for the sum and the extremes of X_{i}^{'}s. This provides a simple procedure to generate a class of solvable strongly correlated systems. We illustrate how this procedure works via three physical examples where N particles on a line perform independent (i) Brownian motions, (ii) ballistic motions with random initial velocities, and (iii) Lévy flights, but they get strongly correlated via simultaneous resetting to the origin. Our results are verified in numerical simulations. This procedure can be used to generate an endless variety of solvable strongly correlated systems.

Why Art Journalism Is Important in Connecting Traditional Art and Entertainment with The Media

Due to an increase in pop culture consumption and social media use, traditional art forms such as classical music, pottery, and painting are not covered enough in modern journalism. Today traditional art forms, such as classical music, sculpture, and painting, are still seen in a very linear way, even though there are opportunities for this medium to be represented in media. Art journalism would not only help music to be utilized in various ways but also enhance society by exposing more people to art. Art journalists act as an amplifier for many artists by giving them a platform to promote their work and also allowing them to draw connections with each other. Additionally, art journalism promotes cultural appreciation because it often covers cultural events, music, and artwork with artistic aspects. Furthermore, providing these artists with an outlet to popularize their work allows people to discover certain cultures that they might not have otherwise. In all, given that classical forms of art are declining in popularity and the younger generation is becoming increasingly less exposed to traditional art, art journalism can be an effective way to maintain traditions and ensure that art forms such as classical music do not die out completely. The purpose of this research is to study how a decline in art journalism and journalism overall will impact our society and today’s youth, as well as study the statistical trends of artistic journalism. The research design will consist of quantitative research on the exact statistics of arts journalism and qualitative research concerning the effects of these factors and will be used to present the argument that art journalism is necessary for our society. The findings from quotes, graphs, and charts will be analyzed to do so, and summarized in the conclusion.

Nonlinear-cost random walk: Exact statistics of the distance covered for fixed budget.

We consider the nonlinear-cost random-walk model in discrete time introduced in Phys. Rev. Lett. 130, 237102 (2023)10.1103/PhysRevLett.130.237102, where a fee is charged for each jump of the walker. The nonlinear cost function is such that slow or short jumps incur a flat fee, while for fast or long jumps the cost is proportional to the distance covered. In this paper we compute analytically the average and variance of the distance covered in n steps when the total budget C is fixed, as well as the statistics of the number of long or short jumps in a trajectory of length n, for the exponential jump distribution. These observables exhibit a very rich and nonmonotonic scaling behavior as a function of the variable C/n, which is traced back to the makeup of a typical trajectory in terms of long or short jumps, and the resulting entropy thereof. As a by-product, we compute the asymptotic behavior of ratios of Kummer hypergeometric functions when both the first and last arguments are large. All our analytical results are corroborated by numerical simulations.

Transfer multi-source knowledge via scale-aware online domain adaptation in depth estimation for autonomous driving

This paper deals with the challenging online monocular depth adaptation task that aims to train an initial depth estimation model in a source domain and continuously adapt the model against a constantly changing target domain. Due to the high cost of real-world data collection and the camera-dependent nature of the depth estimation, previous works tend to simulate the environment using a virtual-world dataset for training (e.g. Virtual KITTI), and employ a real-world dataset for testing (e.g. KITTI, which shares the same camera settings) and are therefore vulnerable to novel domains with unknown statistics. We propose a meta-learning-based online domain adaptation framework that can leverage multi-source domain to transfer the learned knowledge from the virtual world to the real world better with the metrically accurate scale. Our learn-to-adapt algorithm mimics domain shifts during training by creating fictitious testing domains and incorporating a meta-optimization objective for optimizing the performance of the testing domains after updating the training domains in each mini-batch step. The algorithm is augmented with gradient surgery to alleviate unreliable optimization of inconsistent regions. To facilitate multi-source domain training and testing, we introduce a camera conversion technique for transforming images and depth cues from different camera settings to a unified one. During online adaptation, we also apply the exact statistics of the test-time input to the network's normalization layers to ensure a more robust adaptation. Extensive experiments demonstrate that our method can robustly adapt and outperform the virtual-to-real state-of-the-art methods on the standard KITTI Eigen benchmark of both full-length videos and isolated frames, a feat never attempted before, as well as generalizing to other real-world datasets without retraining.

Comment on "Exact large deviation statistics and trajectory phase transition of a deterministic boundary driven cellular automaton".

Buča etal. [Phys. Rev. E 100, 020103(R) (2019)2470-004510.1103/PhysRevE.100.020103] study the dynamical large deviations of a boundary-driven cellular automaton. They take a double limit in which first time and then space is made infinite, and interpret the resulting large-deviation singularity as evidence of a first-order phase transition and the accompanying coexistence of two distinct dynamical phases. This view is characteristic of an approach to dynamical large deviations in which time is interpreted as if it were a spatial coordinate of a thermodynamic system [Jack, Eur. Phys. J. B 93, 74 (2020)1434-602810.1140/epjb/e2020-100605-3]. Here, I argue that the large-deviation function produced in this double limit is not consistent with the basic features of the model of Buča etal. I show that a modified limiting procedure results in a nonsingular large-deviation function consistent with those features, and that neither supports the idea of coexisting dynamical phases.

Reply to "Comment on 'Exact large deviation statistics and trajectory phase transition of a deterministic boundary driven cellular automaton'".

We reply to Whitelam's Comment [Phys. Rev. E 108, 036105 (2023)2470-004510.1103/PhysRevE.108.036105] on our paper [Phys. Rev. E 100, 020103(R) (2019)2470-004510.1103/PhysRevE.100.020103] where we compute the exact large deviation (LD) statistics of a wide class of observables in the rule 54 cellular automaton. Using some heuristic arguments, Whitelam states that despite the fact that the LD functions we compute display singular behavior, this is not indicative of a LD phase transition or of dynamical phase coexistence. Here, we refute this observation and confirm that the (standard) interpretation of our exact results stands.

Comparisons of Dental Anomalies in Orthodontic Patients with Impacted Maxillary and Mandibular Canines.

To assess the presence and possible associations between the type of dental anomalies and maxillary and mandibular canine impactions in orthodontic patients treated for canine impaction, panoramic radiographs of orthodontic patients treated for canine impaction were assessed for the presence of associated dental anomalies. A random sample of orthodontic patients without canine impaction matched for age and gender served as controls. Descriptive and exact inferential statistics were implemented in order to assess potential associations between canine impaction and dental anomalies. A total of 102 orthodontic patients with 70 maxillary (MaxCI) and 32 mandibular (ManCI) canine impactions were assessed. The control group included 117 orthodontic patients. Dental anomalies were present in more than 50% of patients with impacted canines and in 20% of the controls. Tooth agenesis was significantly more common in the MaxCI group when compared to the ManCI group, while supernumerary teeth and canine transmigration were registered more often in the ManCI group. When compared to the control group, peg-shaped maxillary lateral incisors and tooth agenesis were significantly more prevalent in the MaxCI group, while canine transmigration, supernumerary teeth, the agenesis of mandibular incisors and tooth transpositions were significantly more prevalent in the ManCI group. The impaction of other teeth was significantly more common in both canine impaction groups when compared to the controls. The prevalence of dental anomalies in orthodontic patients with impacted canines was higher than in orthodontic patients without canine impaction. Different types of tooth anomalies were found in the MaxCI and ManCI groups.

Exact Noise Statistics in Equalized Polarization Multiplexing Systems in the Presence of Polarization Dependent Loss

In polarization multiplexing systems, signal and noise have different correlation matrices in the presence of polarization dependent loss (PDL). Therefore, the noise will be correlated after the signal equalization process, and the statistical characteristics of the noise correlation matrix is vital for the system capacity evaluation. In this paper, a stochastic differential equation (SDE) for the evolution of the noise correlation matrix after equalization is derived and the statistics of the correlation matrix elements are obtained by the related ordinary differential equations (ODEs). A threshold of the link gain, which equals half of the local PDL vector variance, exists. If the gain is above the threshold, one may ensure the average accumulated noise power not to grow exponentially. Monte Carlo simulations are conducted to verify the proposed theory and an excellent agreement is observed.

Trapping of an active Brownian particle at a partially absorbing wall

Active matter concerns the self-organization of energy consuming elements such as motile bacteria or self-propelled colloids. A canonical example is an active Brownian particle (ABP) that moves at a constant speed while its direction of motion undergoes rotational diffusion. When ABPs are confined within a channel, they tend to accumulate at the channel walls, even when inter-particle interactions are ignored. Each particle pushes on the boundary until a tumble event reverses its direction. The wall thus acts as a sticky boundary. In this article, we consider a natural extension of sticky boundaries that allow for a particle to be permanently absorbed (killed) whilst attached to a wall. In particular, we investigate the first passage time (FPT) problem for an ABP in a two-dimensional channel where one of the walls is partially permeable. Calculating the exact FPT statistics requires solving a non-trivial two-way diffusion boundary value problem. We follow a different approach by separating out the dynamics away from the absorbing wall from the dynamics of absorption and escape whilst attached to the wall. By using probabilistic methods, we derive an explicit expression for the mean first passage time of absorption, assuming that the arrival statistics of particles at the wall are known. Our method also allows us to incorporate a more general encounter-based model of absorption.

Modified Weighted Rayleigh Distribution and Its Bivariate Extension

In this paper, a new version of weighted Rayleigh distribution is constructed and studied. The statistical properties of the new distribution including the behavior of hazard and reversed hazard functions, moments, the central moments, moment generating function, mean, variance, coefficient of skewness, coefficient of kurtosis, median, mode, quantiles, stochastic ordering, exact information matrix and order statistics are also obtained, a simulation study and real data applications are performed. Furthermore, a bivariate extension of the new distribution called the bivariate modified Rayleigh (BMWR) distribution is introduced. The proposed bivariate distribution is of type Farlie–Gumbel–Morgenstern (FGM) copula. The BMWR distribution has modified weighted Rayleigh marginal distributions. The joint cumulative distribution function, the joint survival function, the joint probability density function, the joint hazard rate function and the statistical properties of the BMWR distribution are also derived.

Multipoint Turbulence Analysis with HelioSwarm

Exploration of plasma dynamics in space, including turbulence, is entering a new era of multisatellite constellation measurements that will determine fundamental properties with unprecedented precision. Familiar but imprecise approximations will need to be abandoned and replaced with more-advanced approaches. We present a preparatory study of the evaluation of second- and third-order statistics, using simultaneous measurements at many points. Here, for specificity, the orbital configuration of the NASA Swarm mission is employed in conjunction with 3D magnetohydrodynamics numerical simulations of turbulence. The HelioSwarm nine-spacecraft constellation flies virtually through the turbulence to compare results with the exact numerical statistics. We demonstrate novel increment-based techniques for the computation of (1) the multidimensional spectra and (2) the turbulent energy flux. This latter increment-space estimate of the cascade rate, based on the third-order Yaglom–Politano–Pouquet theory, uses numerous increment-space tetrahedra. Our investigation reveals that HelioSwarm will provide crucial information on the nature of astrophysical turbulence.

On the bridge hypothesis in the glass transition of freestanding polymer films.

Freestanding thin polymer films with high molecular weights exhibit an anomalous decrease in the glass-transition temperature with film thickness. Specifically, in such materials, the measured glass-transition temperature evolves in an affine way with the film thickness, with a slope that weakly depends on the molecular weight. De Gennes proposed a sliding mechanism as the hypothetical dominant relaxation process in these systems, where stress kinks could propagate in a reptation-like fashion through so-called bridges, i.e. from one free interface to the other along the backbones of polymer macromolecules. Here, by considering the exact statistics of finite-sized random walks within a confined box, we investigate in details the bridge hypothesis. We show that the sliding mechanism cannot reproduce the basic features appearing in the experiments, and we exhibit the fundamental reasons behind such a fact.

Bootstrap inference for unbalanced one-way classification model with skew-normal random effects

In this article, the one-sided hypothesis testing and interval estimation problems for fixed effect and variance component functions are considered in the unbalanced one-way classification model with skew-normal random effects. First, the Bootstrap approach is used to establish test statistics for fixed effects. Second, based on the matrix decomposition technique, Bootstrap approach and generalized approach, the test statistics, and confidence intervals for the single variance component and sum of variance components are constructed. Next, the exact test statistics for the ratio of variance components are obtained. The Monte Carlo simulation results indicate that the Bootstrap approach performs better than the generalized approach in most cases. Finally, the above approaches are illustrated with a real example of carbon fibers’ strength.

Intimate Partner Violence Against Brazilian Mothers is Associated With Their Children's Lower Quality-of-Life Scores: A Cross-Sectional Study During the COVID-19 Pandemic.

The COVID-19 pandemic led to family and routine reorganization, triggering social problems. Women were further exposed to domestic violence, especially intimate partner violence (IPV), with consequences to their and their children's health. However, few Brazilian studies address the issue, especially considering the pandemic and its restrictive measures. The objective was to verify the relationship between mothers'/caregivers' IPV and their children's neuropsychomotor development (NPMD) and quality of life (QOL) during the pandemic. Seven hundred one female mothers/caregivers of children (0-12 years old) responded to the online epidemiological inquiry. NPMD was investigated with the Caregiver Reported Early Development Instruments (CREDI-short version); QOL, with the Pediatric Quality of Life Inventory (PedsQL™); and IPV, with the Composite Abuse Scale (CAS). The independence chi-square test was used, with Fisher's exact statistics, in SPSS Statistics 27®. Children whose mothers were exposed to IPV were 2.68 times as likely to have a "low" QOL score (χ2(1) = 13.144, P < .001; φ = 0.137). This indicates a possible environmental influence on the children's QOL, which may have been aggravated by strict social distancing during the COVID-19 pandemic.

Thermodynamics of quantum measurement and Maxwell's demon's arrow of time

We discuss the thermodynamic aspects of a single qubit based device, powered by weak quantum measurements, and feedback controlled by a quantum Maxwell's demon. We discuss both discrete and time-continuous operation of the measurement based device at finite temperature of the reservoir. In the discrete example where a demon acquires information via discrete weak measurements, we find that the thermodynamic variables including the heat exchanged, extractable work, and the entropy produced are completely determined by an information theoretic measure of the demon's perceived arrow of time. We also discuss a realistic time-continuous operation of the device where the feedback is applied after a sequence of weak measurements. In the time-continuous limit, we derive the exact finite-time statistics of work, heat and entropy changes along individual quantum trajectories of the quantum measurement process, and relate them to the demon's arrow of time.