bluuebunny/crossref_metadata_2025 huggingface dataset:
Spatiotemporal diffractive deep neural networks
Authors: Zhou Junhe , Pu Haoqian , Yan Jiaxin
Published: December 2023

A spatiotemporal diffractive deep neural network (STD2NN) is proposed for spatiotemporal signal processing. The STD2NN is formed by gratings, which convert the signal from the frequency domain to the spatial domain, and multiple layers consisting of spatial lenses and space light modulators (SLMs), which conduct spatiotemporal phase modulation. An all-optical backpropagation (BP) algorithm for SLM phase tuning is proposed, with the gradient of the loss function computed by the inner product of the forward propagating optical field and the backward propagating conjugated error field. As a proof of concept, a spatiotemporal word “OPTICA” is generated by the STD2NN. Afterwards, a spatiotemporal optical vortex (STOV) beam multiplexer based on the STD2NN is demonstrated, which converts the spatially separated Gaussian beams into the STOV wave-packets with different topological charges. Both cases illustrate the capability of the proposed STD2NN to generate and process the spatiotemporal signals.
Demonstration of quantum-enhanced rangefinding robust against classical jamming
Authors: Mrozowski M. P. , Murchie R. J. , Jeffers J. , Pritchard J. D.
Published: December 2023

We demonstrate a quantum-enhanced lidar capable of performing confident target detection and rangefinding in the presence of strong, time-varying classical noise whilst operating with over five orders of magnitude separation between signal and background levels and target reflectivities down to −52 dB. We use a log-likelihood-based framework to introduce a new protocol for dynamic background tracking, verifying resilience of our system to both fast- and slow-modulation jamming in regimes where a classical illumination-based system fails to find a target. These results demonstrate the advantage of exploiting quantum correlations for lidar applications, providing a clear route to implementation in real-world scenarios.
SAL vibration estimation and compensation based on triangular interferometric signals
Authors: Wang Rongrong , Liu Hongwei , Jiu Bo , Wang Bingnan
Published: December 2023

Synthetic aperture Ladar (SAL) is an extension of synthetic aperture technology in the optical frequency band. Owing to the short wavelength of lasers, the system has high-resolution, high-data-rate, and refined imaging capabilities, which has potential in high-resolution observation fields such as ground observation and space target observation. However, the short wavelength of lasers also makes SAL severely sensitive to vibrations even on the micron order which cause azimuth defocusing and range cell migration. To address this problem, we establish a de-chirp signal model under vibration environment, and propose a vibration error estimation and compensation method using triangular interferometric signals. According to the symmetrical characteristics of triangular frequency modulated continuous wave (T-FMCW) and the time-frequency information introduced by the azimuthal vibration phase, we use a two-stage interferometry method to estimate instantaneous frequency introduced by the vibration errors that cause range cell migration. For the scenarios without obvious range cell migration, we use a one-stage interferometry method to estimate the instantaneous frequency. Subsequently, we establish a vibration compensation filter using the estimated instantaneous frequency to compensate for the vibration errors. We use two experiments to verify the effectiveness and superiority of the proposed method. The results show that the proposed method effectively eliminates range cell migration and azimuthal phase errors introduced by vibration errors, producing SAL imaging results with higher resolution than the conventional spectral correlation method.
Higher-order fractal transverse modes observed in microlasers
Authors: Steinforth Austin W. , Eden J. Gary
Published: December 2023

Two classes of higher-order, fractal spatial eigenmodes have been predicted computationally and observed experimentally in microlasers. The equatorial plane of a close-packed array of microspheres, lying on one mirror within a Fabry-Pérot resonator and immersed in the laser gain medium, acts as a refractive slit array in a plane transverse to the optical axis. Edge diffraction from the slit array generates the high spatial frequencies (>104 cm−1) required for the formation of high-order laser fractal modes, and fractal transverse modes are generated, amplified, and evolve within the active medium. With a quasi-rectangular (4-microsphere) aperture, the fundamental mode and several higher-order eigenmodes (m = 2,4,5) are observed in experiments, whereas only the m = 1,2 modes are observed experimentally for the higher-loss resonators defined by triangular (3-microsphere) apertures. The fundamental and 2nd-order modes (m = 1,2) for the 4-sphere aperture are calculated to have qualitatively similar intensity profiles and nearly degenerate resonant frequencies that differ by less than <0.1% of the free-spectral range (375 GHz) but exhibit even and odd parity, respectively. For all of the observed fractal modes, the fractal dimension (D) rises rapidly beyond the intracavity aperture array as a result of the high spatial frequencies introduced into the mode profile. Elsewhere, D varies gradually along the resonator axis and 2.2 < D < 2.5. Generating fractal laser modes in an equivalent optical waveguide is expected to allow the realization of new optical devices and imaging protocols based on the spatial frequencies and variable D values available.
Photoelectron jets and interference structures in ionization beyond dipole approximation: carrier- envelope phase effects and vortex streets
Authors: Suster M. C. , Derlikiewicz J. , Kamiński J. Z. , Krajewska K.
Published: December 2023

We have analyzed photoelectron jet formation in strong-field ionization using the hydrodynamic picture of quantum mechanics. We showed that von-Kármán-like vortex streets emerge in between jets in photoelectron momentum distributions. The spatial orientation of the jets can be controlled by tailoring the carrier-envelope phase of the driving laser pulse. This indicates that it is possible to experimentally measure emitted photoelectrons off the optical axis, which opens up new possibilities for high-frequency laser pulse diagnostics.
Highly secure non-orthogonal multiple access based on key accompanying transmission in training sequence
Authors: Han Yongcan , Ren Jianxin , Liu Bo , Li Yong , Ullah Rahat , Mao Yaya , Wu Xiangyu , Chen Shuaidong , Wang Bin , Wu Yongfeng , Zhao Lilong
Published: December 2023

This paper proposes a high-security chaotic encrypted power sparse coding division (CE-PSCD) scheme for 7-core fiber based on non-orthogonal multiple access (NOMA) technology. The method utilizes power multiplexing to realize parallel transmission of two signals. Joint encryption of the four-dimensional region is realized using constellation mapping encryption, carrier frequency encryption, symbol scrambling, and sparse code scrambling. What we believe to be a new dimension for encryption of autonomously designed sparse codes is proposed. Meanwhile, we hide the chaotic key in training sequence (TS) to realize the co-transmission of the key and the message. A 70 Gb/s CE-PSCD signal transmission over 2 km of 7-core fiber is demonstrated experimentally. At the limit of forward error correction (FEC) ∼3.8 × 10−3, the difference in the encrypted sensitivity among different users at the equal power level is 0.36 dB, which means that the fairness of users will not be destroyed. The key space can reach 10134, with a bit error rate (BER) of about 0.5 for brute-force cracking at illegal receivers. As long as the key bits in the hidden TS are wrong by one bit, the BER stays around 0.5. The results show no significant attenuation of the signal before and after encryption at either high or low power, verifying the high-security performance of our proposed scheme.
Nearly diffraction-limited picosecond pulse amplification from LMA fluoride fiber at 2.8 µm
Authors: Yuan Xinyue , Zhou Xiabing , Qin Zhipeng , Xie Guoqiang
Published: December 2023

We demonstrated the generation of a nearly diffraction-limited picosecond pulse from a large-mode-area (LMA) fluoride fiber amplifier. Seeded with a mode-locked fiber oscillator at 2.8 µm, the LMA Er:ZBLAN fiber amplifier delivered the pulse of 16 µJ with a duration of 70 ps at 5 kHz. The nearly diffraction-limited beam was obtained from the 50 µm LMA fiber using the fundamental mode excitation technique, with a measured M2 value of 1.25 for x axis and 1.27 for y axis, respectively. This high-beam-quality high-energy picosecond fiber-based system of 2.8 µm exhibits a great potential in the high-precision biomaterial processing.
Procedure for automated low uncertainty assessment of empty cavity mode frequencies in Fabry-Pérot cavity based refractometry
Authors: Zakrisson Johan , Silander Isak , Silva de Oliveira Vinicius , Hjältén Adrian , Rosina Andrea , Rubin Tom , Foltynowicz Aleksandra , Zelan Martin , Axner Ove
Published: December 2023

A procedure for automated low uncertainty assessment of empty cavity mode frequencies in Fabry-Pérot cavity based refractometry that does not require access to laser frequency measuring instrumentation is presented. It requires a previously well-characterized system regarding mirror phase shifts, Gouy phase, and mode number, and is based on the fact that the assessed refractivity should not change when mode jumps take place. It is demonstrated that the procedure is capable of assessing mode frequencies with an uncertainty of 30 MHz, which, when assessing pressure of nitrogen, corresponds to an uncertainty of 0.3 mPa.
Growth, characterization, and efficient laser operation of Czochralski- and micro-pulling-down-grown Yb3+:YScO3 mixed sesquioxides
Authors: Kalusniak Sascha , Uvarova Anastasia , Arlt Ines , Hülshoff Lena , Eckhof Patty , Wegener Philipp , Brützam Mario , Ganschow Steffen , Guguschev Christo , Tanaka Hiroki , Kränkel Christian
Published: December 2023

We report on the growth, spectroscopy and laser operation of Yb3+-doped mixed sesquioxide crystals. Various Yb3+-doped crystals with compositions close to (Y0.5Sc0.5)2O3 have been successfully grown by the Czochralski method and by the micro-pulling down (µ-PD) method. Our spectroscopic investigations reveal broadened stimulated emission and absorption cross-section spectra originating from the structural disorder of the mixed crystals. We find the peak wavelengths to shift by ∼1.6 nm between Y:Sc-ratios of 54:46 and 46:54 and confirm a linear relation of the peak position with the lattice constant of the host composition. In the laser experiments, we obtain highly efficient continuous-wave laser operation under pumping with an optically-pumped semiconductor laser (OPSL) at ∼975 nm, reaching slope efficiencies of up to 89% at optical-to-optical efficiencies exceeding 80% at laser wavelengths between 1037 nm and 1086 nm.
Time warping between main epidemic time series in epidemiological surveillance
Authors: Morel Jean-David , Morel Jean-Michel , Alvarez Luis
Published: December 2023

The most common reported epidemic time series in epidemiological surveillance are the daily or weekly incidence of new cases, the hospital admission count, the ICU admission count, and the death toll, which played such a prominent role in the struggle to monitor the Covid-19 pandemic. We show that pairs of such curves are related to each other by a generalized renewal equation depending on a smooth time varying delay and a smooth ratio generalizing the reproduction number. Such a functional relation is also explored for pairs of simultaneous curves measuring the same indicator in two neighboring countries. Given two such simultaneous time series, we develop, based on a signal processing approach, an efficient numerical method for computing their time varying delay and ratio curves, and we verify that its results are consistent. Indeed, they experimentally verify symmetry and transitivity requirements and we also show, using realistic simulated data, that the method faithfully recovers time delays and ratios. We discuss several real examples where the method seems to display interpretable time delays and ratios. The proposed method generalizes and unifies many recent related attempts to take advantage of the plurality of these health data across regions or countries and time, providing a better understanding of the relationship between them. An implementation of the method is publicly available at the EpiInvert CRAN package.
Quantifying the role of genome size and repeat content in adaptive variation and the architecture of flowering time in Amaranthus tuberculatus
Authors: Kreiner Julia M. , Hnatovska Solomiya , Stinchcombe John R. , Wright Stephen I.
Published: December 2023

Genome size variation, largely driven by repeat content, is poorly understood within and among populations, limiting our understanding of its significance for adaptation. Here we characterize intraspecific variation in genome size and repeat content across 186 individuals of Amaranthus tuberculatus, a ubiquitous native weed that shows flowering time adaptation to climate across its range and in response to agriculture. Sequence-based genome size estimates vary by up to 20% across individuals, consistent with the considerable variability in the abundance of transposable elements, unknown repeats, and rDNAs across individuals. The additive effect of this variation has important phenotypic consequences—individuals with more repeats, and thus larger genomes, show slower flowering times and growth rates. However, compared to newly-characterized gene copy number and polygenic nucleotide changes underlying variation in flowering time, we show that genome size is a marginal contributor. Differences in flowering time are reflected by genome size variation across sexes and marginally, habitats, while polygenic variation and a gene copy number variant within the ATP synthesis pathway show consistently stronger environmental clines than genome size. Repeat content nonetheless shows non-neutral distributions across the genome, and across latitudinal and environmental gradients, demonstrating the numerous governing processes that in turn influence quantitative genetic variation for phenotypes key to plant adaptation.
An augmented Mendelian randomization approach provides causality of brain imaging features on complex traits in a single biobank-scale dataset
Authors: Yang Anyi , Yang Yucheng T. , Zhao Xing-Ming
Published: December 2023

Mendelian randomization (MR) is an effective approach for revealing causal risk factors that underpin complex traits and diseases. While MR has been more widely applied under two-sample settings, it is more promising to be used in one single large cohort given the rise of biobank-scale datasets that simultaneously contain genotype data, brain imaging data, and matched complex traits from the same individual. However, most existing multivariable MR methods have been developed for two-sample setting or a small number of exposures. In this study, we introduce a one-sample multivariable MR method based on partial least squares and Lasso regression (MR-PL). MR-PL is capable of considering the correlation among exposures (e.g., brain imaging features) when the number of exposures is extremely upscaled, while also correcting for winner’s curse bias. We performed extensive and systematic simulations, and demonstrated the robustness and reliability of our method. Comprehensive simulations confirmed that MR-PL can generate more precise causal estimates with lower false positive rates than alternative approaches. Finally, we applied MR-PL to the datasets from UK Biobank to reveal the causal effects of 36 white matter tracts on 180 complex traits, and showed putative white matter tracts that are implicated in smoking, blood vascular function-related traits, and eating behaviors.
Non-linear associations between meteorological factors, ambient air pollutants and major mosquito-borne diseases in Thailand
Authors: Tewari Pranav , Ma Pei , Gan Gregory , Janhavi A. , Choo Esther Li Wen , Koo Joel Ruihan , Dickens Borame Lee , Lim Jue Tao
Published: December 2023

Background

Transmission intensity for mosquito-borne diseases are highly heterogenous and multi-factorial. Understanding risk factors associated to disease transmission allow the optimization of vector control. This study sets out to understand and compare the combined anthropogenic and environmental risk factors of four major mosquito-borne diseases, dengue, malaria, chikungunya and Japanese encephalitis in Thailand.

Methods

An integrated analysis of mosquito-borne diseases, meteorological and ambient air pollutants of 76 provinces of Thailand was conducted over 2003–2021. We explored the use of generalized linear models and generalized additive models to consider both linear and non-linear associations between meteorological factors, ambient air pollutants and mosquito-borne disease incidence. Different assumptions on spatio-temporal dependence and nonlinearity were considered through province-specific and panel models, as well as different spline functions. Disease-specific model evidence was assessed to select best-fit models for epidemiological inference downstream.

Results

Analyses indicated several findings which can be generally applied to all diseases explored: (1) higher AH above mean values was positively associated with disease case counts (2) higher total precipitation above mean values was positively associated with disease case counts (3) extremely high temperatures were negatively associated with disease case counts (4) higher SO2 and PM2.5 surface concentrations were negatively associated with disease case counts. However, the relationships between disease and RH, non-extreme temperatures and CO surface concentration were more mixed, with directions of associations changing across the different diseases considered.

Conclusions

This study found protective and enhancing effects of meteorological and ambient air pollutant factors on mosquito-borne diseases burdens in Thailand. Further studies should employ these factors to understand and predict risk factors associated with mosquito-borne disease transmission.
Design of the Global Health chemical diversity library v2 for screening against infectious diseases
Authors: Wilson Caroline , Gardner J. Mark F. , Gray David W. , Baragana Beatriz , Wyatt Paul G. , Cookson Alex , Thompson Stephen , Mendoza-Martinez Cesar , Bodkin Michael J. , Gilbert Ian H. , Tarver Gary J.
Published: December 2023

There is a need for novel chemical matter for phenotypic and target-based screens to find starting points for drug discovery programmes in neglected infectious diseases and non-hormonal contraceptives that disproportionately affect Low- and Middle-Income Countries (LMICs). In some disease areas multiple screens of corporate and other libraries have been carried out, giving rise to some valuable starting points and leading to preclinical candidates. Whilst in other disease areas, little screening has been carried out. Much screening against pathogens has been conducted phenotypically as there are few robustly validated protein targets. However, many of the active compound series identified share the same molecular targets. To address the need for new chemical material, in this article we describe the design of a new library, designed for screening in drug discovery programmes for neglected infectious diseases. The compounds have been selected from the Enamine REAL (REadily AccessibLe) library, a virtual library which contains approximately 4.5 billion molecules. The molecules theoretically can be synthesized quickly using commercially available intermediates and building blocks. The vast majority of these have not been prepared before, so this is a source of novel compounds. In this paper we describe the design of a diverse library of 30,000 compounds from this collection (graphical abstract). The new library will be made available to laboratories working in neglected infectious diseases, subject to a review process. The project has been supported by the Bill & Melinda Gates Foundation and the Wellcome Trust (Wellcome).
Impact of odorants on perception of sweetness by honey bees
Authors: Pel Allyson V. , Van Nest Byron N. , Hathaway Stephanie R. , Fahrbach Susan E.
Published: December 2023

Organic volatiles produced by fruits can result in overestimation of sweetness by humans, but it is unknown if a comparable phenomenon occurs in other species. Honey bees collect nectar of varying sweetness at different flowering plants. Bees discriminate sugar concentration and generally prefer higher concentrations; they encounter floral volatiles as they collect nectar, suggesting that they, like humans, could be susceptible to sweetness enhancement by odorant. In this study, limonene, linalool, geraniol, and 6-methyl-5-hepten-2-ol were tested for their ability to alter behaviors related to perception of sweetness by honey bees. Honey bees were tested in the laboratory using proboscis extension response-based assays and in the field using feeder-based assays. In the laboratory assays, 6-methyl-5-hepten-2-ol and geraniol, but neither linalool nor limonene, significantly increased responses to low concentrations of sucrose compared with no odorant conditions in 15-day and 25-day-old adult worker honey bees, but not in 35-day-old bees. Limonene reduced responding in 15-day-old bees, but not in the older bees. There was no odorant-based difference in performance in field assays comparing geraniol and limonene with a no odorant control. The interaction of the tested plant volatiles with sucrose concentration revealed in laboratory testing is therefore unlikely to be a major determinant of nectar choice by honey bees foraging under natural conditions. Because geraniol is a component of honey bee Nasonov gland pheromone as well as a floral volatile, its impact on responses in the laboratory may reflect conveyance of different information than the other odorants tested.
Exploring the determinants of users’ co-creation behavior on music streaming platforms in China
Authors: Xu Jinghong , Gong Jiankun , Ji Dan
Published: December 2023

Music streaming platforms have recently become one of the latest innovative music devices used to replace traditional music sets. In order to examine users’ behavior on music streaming platforms, this study proposes an extended research model based on flow theory and investigates the relationship between flow experience and co-creation behavior. A partial least square methodology was employed to test the proposed model and corresponding hypotheses on data collected from 390 survey samples. The results showed that flow experience has a significant influence on users’ co-creation behavior. Among the three antecedents, only perceived skill and perceived interactivity have the strongest effects on flow experience, while perceived control has little effect on flow experience. This study discusses some valuable theoretical implications and offers insights useful for both researchers and practitioners.
Overcoming the not-invented-here syndrome in healthcare: The case of German ambulatory physiotherapists’ adoption of digital health innovations
Authors: Huynh Thomas , Kroh Julia , Schultz Carsten
Published: December 2023

Healthcare is characterized by professional, organizational, and institutional boundaries. Digital health innovations can help overcome these boundaries by providing information access to all healthcare professionals. Such innovations emerge from inputs from different health professionals at different positions along the entire care process and have the potential to substantially change the way in which interprofessional tasks are performed among the involved professionals. Consequently, as less empowered professionals, physiotherapists may resist the adoption of digital health innovations in particular if the innovation is dominated by physicians, and thus thenot-invented-here syndromemay become a major barrier. We aim to examine whether the origin of a digital health innovation affects German physiotherapists’ adoption decision and whether the collaboration quality and physiotherapists’ proactive job crafting behavior may help overcome adoption barriers. We applied a mixed-method sequential design with a qualitative study one in which we interviewed 20 physiotherapists to provide exploratory insights, and a quantitative study two in which we tested our proposed hypotheses with survey data including an experimental vignette from 165 physiotherapists. Physiotherapists adopt digital health innovations developed by their own professional group more likely than digital health innovations developed by physicians. Our results also confirm that physiotherapists’ job crafting behavior and the quality of the collaboration with physicians weaken the resistance against physician-driven innovations. Our study underlines (1) the need to involve allied health professionals as physiotherapists in digital health innovation development, (2) the relevance of interprofessional collaboration in daily practice and, (3) an open mind set of allied health professionals to cope with innovation adoption barriers.
Association between physical activity and taste–The advantage of increased intensity for some but not all individuals
Authors: Gauthier Alexandre-Charles , Dupont François , Mathieu Marie-Eve
Published: December 2023

Introduction

Taste is a key sensory modulator of energy intake, and while the effects of acute physical activity (PA) on taste have been recently confirmed, its chronic effects remain poorly documented.

Methods

Data were extracted from the NHANES database, including salty and bitter taste tests, moderate PA (MPA) and vigorous PA (VPA) levels, and anthropometric data. Binary logistic regressions were conducted, and odds ratios (ORs) represent the association between physical activity level and successful taste tests.

Results

3,114 participants (51.5% women, mean age 58.5±11.9 years, mean BMI 29.5±7.0 kg/m2) were analyzed. For the tongue tip test, the frequency of VPA was associated with a better score for the bitter and total taste test, while duration of VPA was associated with a better score for the bitter, salty, and total taste test (OR [1.01–1.06], p<0.05). For the whole mouth test, MPA frequency improved the bitter taste score (OR = 1.06, p = 0.01) while VPA frequency and duration were associated with better scores for bitter, salty, and total taste tests (OR [1.01–1.15], p<0.05). These findings were distinctively influenced by weight status and gender, with males and individuals without obesity mainly beneficiating from an active lifestyle.

Perspectives

This study underlines the link between PA, particularly its frequency and intensity, and improved taste preservation. These findings emphasize the potential benefits of regular VPA for optimizing taste perception, although questions remain regarding the advantages for individuals with obesity and the lack of association observed in women who might already have a preserved profile.
Predictors of non-adherence to antihypertensive medications: A cross-sectional study from a regional hospital in Afghanistan
Authors: Stanikzai Muhammad Haroon , Wafa Mohammad Hashim , Tawfiq Essa , Jafari Massoma , Le Cua Ngoc , Wasiq Abdul Wahed , Rahimi Bilal Ahmad , Baray Ahmad Haroon , Ageru Temesgen Anjulo , Suwanbamrung Charuai
Published: December 2023

Background

Non-adherence to antihypertensive medications (AHMs) is a widespread problem. Cardiovascular morbidity and mortality reduction is possible via better adherence rates among hypertensive patients.

Objectives

This study aimed to assess the prevalence of non-adherence to AHMs and its predictors among hypertensive patients who attended Mirwais Regional Hospital in Kandahar, Afghanistan.

Methods

A cross-sectional study using random sampling method was conducted among hypertensive patients, aged ≥18 years in Mirwais Regional Hospital at a 6-month follow-up between October and December 2022. To assess non-adherence to AHMs, we employed the Hill-Bone Medication Adherence scale. A value below or equal to 80% of the total score was used to signify non-adherence. A multivariable binary logistic regression model was used to identify predictors of non-adherence to AHMs.

Results

We used data from 669 patients and found that 47.9% (95%CI: 44.1–51.8%) of them were non-adherent to AHMs. The majority (71.2%) of patients had poorly controlled blood pressure (BP). The likelihood of non-adherence to AHMs was significantly higher among patients from low monthly-income households [Adjusted odds ratio (AOR) 1.70 (95%CI: 1.13–2.55)], those with daily intake of multiple AHMs [AOR 2.02 (1.29–3.16)], presence of comorbid medical conditions [AOR 1.68 (1.05–2.67), lack of awareness of hypertension-related complications [AOR 2.40 (1.59–3.63)], and presence of depressive symptoms [AOR 1.65 (1.14–2.38)].

Conclusion

Non-adherence to AHMs was high. Non-adherence to AHMs is a potential risk factor for uncontrolled hypertension and subsequent cardiovascular complications. Policymakers and clinicians should implement evidence-based interventions to address factors undermining AHMs adherence in Afghanistan.
Social media platforms generate billions of dollars in revenue from U.S. youth: Findings from a simulated revenue model
Authors: Raffoul Amanda , Ward Zachary J. , Santoso Monique , Kavanaugh Jill R. , Austin S. Bryn
Published: December 2023

Social media platforms are suspected to derive hefty profits from youth users who may be vulnerable to negative mental health outcomes, including depression, anxiety, and eating disorders. Platforms, however, are not required to make these data publicly available, which may limit the abilities of researchers and policymakers to adequately investigate and regulate platform practices. This study aimed to estimate the number of U.S.-based child (0–12 years old) and adolescent (13–17 years old) users and the annual advertising revenue generated from youth across six major platforms. Data were drawn from public survey and market research sources conducted in 2021 and 2022. A simulation analysis was conducted to derive estimates of the number of users and the annual advertising revenue per age group and overall (ages 0–17 years) for 2022. The findings reveal that, across six major social media platforms, the 2022 annual advertising revenue from youth users ages 0–17 years is nearly $11 billion. Approximately 30–40% of the advertising revenue generated from three social media platforms is attributable to young people. Our findings highlight the need for greater transparency from social media platforms as well as regulation of potentially harmful advertising practices that may exploit vulnerable child and adolescent social media users.
Impact of cognitive behavioral therapy on premature ejaculation patients: A prospective, randomized controlled trial protocol
Authors: Yang Qiyun , Cai Hongcai , Wan Zi , Chen Min , Yang Bicheng , Xie Yun , Zhang Yadong , Sun Xiangzhou , Tang Jia , Kuang Ming , Liu Hongying , Deng Chunhua
Published: December 2023

Background

Premature ejaculation (PE) is one of the most common male sexual dysfunctions, with a prevalence of about 4%-39% in the Chinese population. Studies have shown that a variety of biological factors can lead to premature ejaculation, such as central nervous system disorders, hypersensitivity of the penis head, and psychological factors. Based on clinical experience, psychological counseling and education of patients and partners should be ranked as the first priority when treating PE. Cognitive behavioral therapy (CBT) addresses emotional, behavioral, and cognitive disorders by altering beliefs and actions. It has also been demonstrated to be clinically useful in treating a number of diseases. The purpose of this trial is to evaluate the efficacy of a mobile-based CBT intervention on patients with PE compared to conventional routine treatment.

Methods

This study is a prospective randomized controlled trial that will be conducted from May 2023 to Dec 2024 at ten hospitals, primarily including the First Affiliated Hospital of Sun Yat-sen University with an 8-week follow-up. The clinical trial central randomization system will be used to create and implement the specific randomization method. Baseline data of both groups will be measured and collected. The premature ejaculation diagnostic tool (PEDT) and the female sexual distress scale-revised for premature ejaculation (FSDS-R-PE) will be collected on the first day, 28±2 days, and 56±2 days during the intervention period, and the intravaginal ejaculatory latency time (IELT) will be measured in both groups. The Shapiro-Wilk test will be used for normality testing. Pearson correlation analysis will be used for correlation analysis. Differences between groups will be compared using analysis of variance or exact probability calculations.

Discussion

This study will investigate the effect of a mobile-based CBT intervention on patients with PE.

Trial registration

Chinese Clinical Trial Registry (ChiCTR2300070581).
Impact of an intervention program on drug adherence in patients with ulcerative colitis: Randomized clinical trial
Authors: Pacheco Mila , Sá Pedro , Santos Gláucia , Boa-Sorte Ney , Domingues Kilma , Assis Larissa , Silva Marina , Oliveira Ana , Santos Daniel , Ferreira Jamile , Fernandes Rosemeire , Fortes Flora , Rocha Raquel , Santana Genoile
Published: December 2023

Aims

Evaluate the impact of an intervention program in non-adherent patients with ulcerative colitis.

Methods

Parallel controlled randomized clinical trial (1:1), approved by the ethics committee (No. 3.068.511/2018) and registered at The Brazilian Clinical Trials Registry (No. RBR-79dn4k). Non-adherent ulcerative colitis patients according to the Morisky-Green-Levine-test were included. Recruitment began in August 2019 until August 2020, with 6-month follow-up. All participants received standard usual care, and additionally the intervention group received educational (video, educational leaflet, verbal guidance) and behavioral interventions (therapeutic scheme, motivational and reminder type short message services). Researchers were blinded for allocation prior to data collection at Visits 1 and 2 (0 and 6 months). Primary outcome: 180-day adherence rate, with relative risk 95%CI. Secondary outcome: 180-day quality of life according to SF-36 domains, using Student’s t test. Variables with p<0.20 were selected for regression. Analysis included data from August/2019 to May/2021.

Results

Forty-six and 49 participants were allocated in control and intervention groups, respectively. Two were excluded due to intervention refusal, and 4 and 6 were lost to follow-up in control and intervention groups. There was no post-intervention adherence rate difference, even after adjustment for type of non-adherence (unintentional/both/intentional) as confounder, or if considered as adherent the intervention group participants lost in follow-up. Interventions promoted better quality of life scores even after multivariate analysis for “Pain”, when adjusted for ulcerative colitis severity, sex, and marital status (β = 18.352, p = 0.004), “Vitality”, when adjusted for ulcerative colitis severity (β = 10.568, p = 0.015) and “Emotional Aspects”, when adjusted for disease severity, income, and education (β = 24.907, p = 0.041).

Conclusions

The intervention program was not able to produce a significant medication adherence rate difference between comparative groups, however, there was a significant improvement in quality of life. Study limitations may include: sample size calculated to identify differences of 30%, leading to a possible insufficient power; non blinded participants, exposing the results to the risk of performance bias; outcomes based on self-reported data.
Is the quality of public health facilities always worse compared to private health facilities: Association between birthplace on neonatal deaths in the Indian states
Authors: Dixit Priyanka , Sundararaman Thiagarajan , Halli Shiva
Published: December 2023

Background

The role of place of delivery on the neonatal health outcomes are very crucial. Although the quality of care is being improved, there is no consensus about who is the better healthcare provider in low and middle-income countries (LMICs), public or private facilities. The aim of this study is to assess the differentials in neonatal mortality by the type of healthcare providers in India and its states.

Methods

We used the data from the fourth wave of the National Family Health Survey 2015–16 (NFHS-4). Information on 259,627 live births to women within the five years preceding the survey was examined. Neonatal mortality rates for state and national levels were calculated using DHS methodology. Multi-variate logistics regression was performed to find the effect of birthplace on neonatal deaths. Propensity score matching (PSM) was used to evaluate the relationship between place of delivery and neonatal deaths to account for the bias attributable to observable covariates.

Results

The rise in parity of the women and purchasing power influences the choice of healthcare providers. Increased neonatal mortality was found in private hospital delivery compared to public hospitals in Punjab, Rajasthan, Chhattisgarh, Madhya Pradesh, Bihar, Jharkhand, Odisha, Goa, Maharashtra, Andhra Pradesh and Karnataka states using propensity score matching analysis. However, analysis on the standard of pre-natal and post-natal care indicates that private hospitals generally outperformed public hospitals.

Conclusions

The study observed a significant variation in neonatal mortality among public and private health care systems in India. Findings of the study urges that more attention be paid to the improve care at the place of delivery to improve neonatal health. There is a need of strengthened national health policy and public-private partnerships in order to improve maternal and child health care in both private and public health facilities.
Prevalence and correlates of tetanus toxoid uptake among women in sub-Saharan Africa: Multilevel analysis of demographic and health survey data
Authors: Aboagye Richard Gyan , Amu Hubert , Dowou Robert Kokou , Bansah Promise , Oaikhena Ijeoma Omosede , Bain Luchuo Engelbert
Published: December 2023

Background

Tetanus toxoid vaccination is one of the most effective and protective measures against tetanus deaths among mothers and their newborns. We examined the prevalence and correlates of tetanus toxoid uptake among women in sub-Saharan African (SSA).

Materials and methods

We analysed pooled data from the Demographic and Health Surveys (DHS) of 32 countries in SSA conducted from 2010 to 2020. We included 223,594 women with a history of childbirth before the survey. Percentages were used to present the prevalence of tetanus toxoid vaccine uptake among the women. We examined the correlates of tetanus toxoid uptake using a multilevel binary logistic regression.

Results

The overall prevalence of tetanus toxoid uptake was 51.5%, which ranged from 27.5% in Zambia to 79.2% in Liberia. Women age, education level, current working status, parity, antenatal care visits, mass media exposure, wealth index, and place of residence were the factors associated with the uptake of tetanus toxoid among the women.

Conclusion

Uptake of tetanus toxoid vaccination among the women in SSA was low. Maternal age, education, current working status, parity, antenatal care visits, exposure to mass media, and wealth status influence tetanus toxoid uptake among women. Our findings suggest that health sector stakeholders in SSA must implement interventions that encourage pregnant women to have at least four antenatal care visits. Also, health policymakers in SSA could ensure that the tetanus toxoid vaccine is free or covered under national health insurance to make it easier for women from poorer households to have access to it when necessary.
Predictive modeling of consumer purchase behavior on social media: Integrating theory of planned behavior and machine learning for actionable insights
Authors: Azad Md. Shawmoon , Khan Shadman Sakib , Hossain Rezwan , Rahman Raiyan , Momen Sifat
Published: December 2023

In recent times, it has been observed that social media exerts a favorable influence on consumer purchasing behavior. Many organizations are adopting the utilization of social media platforms as a means to promote products and services. Hence, it is crucial for enterprises to understand the consumer buying behavior in order to thrive. This article presents a novel approach that combines the theory of planned behavior (TPB) with machine learning techniques to develop accurate predictive models for consumer purchase behavior. This study examines three distinct factors of the theory of planned behavior (attitude, social norm, and perceived behavioral control) that provide insights into the primary determinants influencing online purchasing behavior. A total of eight machine learning algorithms, namely K-nearest neighbor, Decision Tree, Random Forest, Logistic Regression, Naive Bayes, Support Vector Machine, AdaBoost, and Gradient Boosting, were utilized in order to forecast consumer purchasing behavior. Empirical findings indicate that gradient boosting demonstrates superior performance in predicting customer buying behavior, with an accuracy rate of 0.91 and a macro F1 score of 0.91. This holds true when all factors, namely attitude (ATTD), social norm (SN), and perceived behavioral control (PBC), are included in the analysis. Furthermore, we incorporated Explainable AI (XAI), specifically LIME (Local Interpretable Model-Agnostic Explanations), to elucidate how the best machine learning model (i.e. gradient boosting) makes its prediction. The findings indicate that LIME has demonstrated a high level of confidence in accurately predicting the influence of low and high behavior. The outcome presented in this article has several implications. For instance, this article presents a novel way to combine the theory of planned behavior with machine learning techniques in order to predict consumer purchase behavior. This integration allows for a comprehensive analysis of factors influencing online purchasing decisions. Also, the incorporation of Explainable AI enhances the transparency and interpretability of the model. This feature is valuable for organizations seeking insights into factors driving predictions and the reasons behind certain outcomes. Moreover, these observations have the potential to offer valuable insights for businesses in customizing their marketing strategies to align with these influential factors.
circMORC3-encoded novel protein negatively regulates antiviral immunity through synergizing with host gene MORC3
Authors: Wang Linchao , Zheng Weiwei , Lv Xing , Song Yanhong , Xu Tianjun
Published: December 2023

The protein-coding ability of circRNAs has recently been a hot topic, but the role of protein-coding circRNAs in antiviral innate immunity of teleost fish has rarely been reported. Here, we identified a novel circRNA, termed circMORC3, derived from Microrchidia 3 (MORC3) gene in Miichthys miiuy. circMORC3 can inhibit the expression of antiviral cytokines. In addition, circMORC3 encodes a novel peptide with a length of 84 amino acids termed MORC3-84aa. MORC3-84aa not only significantly inhibited TRIF-mediated activation of IRF3 and NF-κB signaling pathways, but also effectively suppressed the expression of antiviral cytokines triggered by RNA virus Siniperca chuatsi rhabdovirus (SCRV). We found that MORC3-84aa directly interacted with TRIF and negatively regulated TRIF protein expression. In addition, host gene MORC3 attenuates SCRV-induced IFN and ISG expression. Mechanistically, MORC3-84aa promotes autophagic degradation of TRIF by enhancing K6-linked ubiquitination and inhibits TRIF-mediated activation of the type I interferon signaling pathway. And the host gene MORC3 not only repressed IRF3 protein expression but also inhibited IRF3 phosphorylation levels. Our study shows that circMORC3 and host gene MORC3 played a synergistic role in viral immune escape.
Malaria parasite centrins can assemble by Ca2+-inducible condensation
Authors: Voß Yannik , Klaus Severina , Lichti Nicolas P. , Ganter Markus , Guizetti Julien
Published: December 2023

Centrins are small calcium-binding proteins that have a variety of roles and are universally associated with eukaryotic centrosomes. Rapid proliferation of the malaria-causing parasite Plasmodium falciparum in the human blood depends on a particularly divergent and acentriolar centrosome, which incorporates several essential centrins. Their precise mode of action, however, remains unclear. In this study calcium-inducible liquid-liquid phase separation is revealed as an evolutionarily conserved principle of assembly for multiple centrins from P. falciparum and other species. Furthermore, the disordered N-terminus and calcium-binding motifs are defined as essential features for reversible biomolecular condensation, and we demonstrate that certain centrins can form co-condensates. In vivo analysis using live cell STED microscopy shows liquid-like dynamics of centrosomal centrin. Additionally, implementation of an inducible protein overexpression system reveals concentration-dependent formation of extra-centrosomal centrin assemblies with condensate-like properties. The timing of foci formation and dissolution suggests that centrin assembly is regulated. This study thereby provides a new model for centrin accumulation at eukaryotic centrosomes.
What can we learn from play? A comparative analysis of creative play and ‘playing along’ in dementia care environments
Authors: McCormick Sheila
Published: December 2023

In this article, I explore play in dementia care settings, specifically two types: creative play (play that engages creativity and imagination) and ‘playing along’. Acknowledging debates on truth-telling in dementia care, I consider how engagement-focused approaches in dementia contexts employ play to encourage connection, communication and care. To do so, I explore the work of researchers and applied theatre creatives in two projects, the Playful Engagement and Dementia Project and TimeSlips, alongside the communication strategy validation therapy. Considering the relational qualities and use of play in all three, I ask whether, in dementia care settings, embracing the flexible way in which play deals with the divide between fiction and reality can, without harm, address the needs of individuals living with dementia.
Costume Connections
Authors: Taylor Madeline , Osmond Suzanne , Pantouvaki Sofia
Published: December 2023

This editorial summarizes the content of Issue 8.2 ofStudies in Costume & Performance. Taking the theme of ‘Costume Connections’, in response to theCritical Costumeconference held online in November 2022 which took this same theme, the issue presents a dynamic collection of items. Approximately half of the issue is devoted to research originating and developed from the conference presentations, but the balance represents new practice-oriented research endeavours. The conference questioned how costume establishes connections, receiving diverse responses from global scholars, artists and practitioners. Contributors delve into the multifaceted nature of connections formed by and with costumes, emphasizing their dynamic, non-linear and collaborative essence. Sub-themes emerge; research on historically informed costume and performance practices, the impact of digital technologies on design, how costumes can be used to destabilize norms and provoke critical thinking in practitioners and audiences, and the sociocultural dimensions of costume. The issue concludes with reflections on the societal and performative implications of costumes, marking a transition for the journal’s editorial team and expressing gratitude for the contributions of outgoing member Donatella Barbieri. Overall, the contributions underscore the pivotal role of costumes in fostering networks of experiences, practices and ideas within the realms of storytelling, performance and creative expression.