bluuebunny/crossref_metadata_2025 huggingface dataset:
Can head sway patterns differentiate between patients with Meniere’s disease vs. peripheral vestibular hypofunction?
Authors: Kelly Jennifer L. , Cosetti Maura , Lubetzky Anat V.
Published: February 2024

Background

Meniere’s disease (MD) is defined by episodic vertigo, unilateral sensorineural hearing loss and fluctuating aural symptoms. Due to the variable clinical presentation, objective tests of MD may have significant diagnostic utility. Head kinematics derived from a head-mounted display (HMD) have demonstrated to be sensitive to vestibular dysfunction. The purpose of this pilot study was to investigate whether head sway can differentiate between patients with MD, vestibular hypofunction (VH) and healthy controls.

Materials/methods

80 adults (30 healthy controls, 32 with VH, and 18 with MD) were recruited from a tertiary vestibular clinic. All underwent a postural control assessment using the HTC Vive Pro Eye HMD that recorded head sway in the anterior–posterior (AP), medio-lateral (ML), pitch, yaw and roll direction. Participants were tested with 2 levels of visual load: a static versus oscillating star display. Each scene lasted 60 s and was repeated twice. Sway in each direction was quantified using root mean square velocity (VRMS) for the first 20 s and full 60 s of each scene.

Results

Static visual: participants with VH showed significantly larger head VRMS than controls in the AP (60 s and 20 s) and pitch (20 s) directions. Dynamic visual: participants with VH showed significantly larger head VRMS than controls all directions for both the 60 and 20 s analysis. Participants with MD did not differ significantly from the control or the VH group.

Conclusion

While limited in numbers, Patients with MD had a high variability in head sway in all directions, and their average head sway was between controls and those with VH. A larger sample as well as patients with worse symptoms at time of testing could elucidate whether head sway via HMD could become a viable test in this population. A similar finding between 20- and 60-s scene and the full portability of the system with an in-clinic testing setup could help these future endeavors. Head sway derived from HMD is sensitive to VH and can be clinically useful as an outcome measure to evaluate sensory integration for postural control.
Lattice layout and optimizer effect analysis for generating optimal transcranial electrical stimulation (tES) montages through the metaheuristic L1L1 method
Authors: Galaz Prieto Fernando , Samavaki Maryam , Pursiainen Sampsa
Published: February 2024

Introduction

This study focuses on broadening the applicability of the metaheuristic L1-norm fitted and penalized (L1L1) optimization method in finding a current pattern for multichannel transcranial electrical stimulation (tES). The metaheuristic L1L1 optimization framework defines the tES montage via linear programming by maximizing or minimizing an objective function with respect to a pair of hyperparameters.

Methods

In this study, we explore the computational performance and reliability of different optimization packages, algorithms, and search methods in combination with the L1L1 method. The solvers from Matlab R2020b, MOSEK 9.0, Gurobi Optimizer, CVX's SeDuMi 1.3.5, and SDPT3 4.0 were employed to produce feasible results through different linear programming techniques, including Interior-Point (IP), Primal-Simplex (PS), and Dual-Simplex (DS) methods. To solve the metaheuristic optimization task of L1L1, we implement an exhaustive and recursive search along with a well-known heuristic direct search as a reference algorithm.

Results

Based on our results, and the given optimization task, Gurobi's IP was, overall, the preferable choice among Interior-Point while MOSEK's PS and DS packages were in the case of Simplex methods. These methods provided substantial computational time efficiency for solving the L1L1 method regardless of the applied search method.

Discussion

While the best-performing solvers show that the L1L1 method is suitable for maximizing either focality and intensity, a few of these solvers could not find a bipolar configuration. Part of the discrepancies between these methods can be explained by a different sensitivity with respect to parameter variation or the resolution of the lattice provided.
On the part that NMR should play in mass spectrometry metabolomics in natural products studies
Authors: Borges Ricardo M. , Teixeira Andrew Magno
Published: February 2024

The field of metabolomics has witnessed remarkable growth in the context of natural products studies, with Mass Spectrometry (MS) being the predominant analytical tool for data acquisition. However, MS has inherent limitations when it comes to the structural elucidation of key metabolites, which can hinder comprehensive compound identification. This review paper discusses the integration of Nuclear Magnetic Resonance (NMR) spectroscopy as a complementary technique to address these limitations. We explore the concept of Quality Control (QC) samples, emphasizing their potential use for in-depth compound annotation and identification. Additionally, we discuss NMR’s advantages, limitations, and strategies to enhance sensitivity. We present examples where MS alone falls short in delivering accurate compound identification and introduce various tools for NMR compound identification in complex mixtures and the integration of MS and NMR data. Finally, we delve into the concept of DBsimilarity to broaden the chemical space understanding, aiding in compound annotation and the creation of compound lists for specific sample analyses.
Identification of FLRT2 as a key prognostic gene through a comprehensive analysis of TMB and IRGPs in BLCA patients
Authors: Tao Yaling , Yu Xiaoling , Cong Huaiwei , Li Jinpeng , Zhu Junqi , Ding Huaxin , Chen Qian , Cai Ting
Published: February 2024

Introduction

The tumor immune environment and immune-related genes are instrumental in the development, progression, and prognosis of bladder cancer (BLCA). This study sought to pinpoint key immune-related genes influencing BLCA prognosis and decipher their mechanisms of action.

Methods and results

We analyzed differentially expressed genes (DEGs) between high- and low- tumor mutational burden (TMB) groups. Subsequently, we constructed a reliable prognostic model based on immune-related gene pairs (IRGPs) and analyzed DEGs between high- and low-risk groups. A total of 22 shared DEGs were identified across differential TMB and IRGPs-derived risk groups in BLCA patients. Through univariate Cox and multivariate Cox analyses, we highlighted five genes - FLRT2, NTRK2, CYTL1, ZNF683, PRSS41 - significantly correlated with BLCA patient prognosis. Notably, the FLRT2 gene emerged as an independent prognostic factor for BLCA, impacting patient prognosis via modulation of macrophage infiltration in immune microenvironment. Further investigation spotlighted methylation sites - cg25120290, cg02305242, and cg01832662 - as key regulators of FLRT2 expression.

Discussion

These findings identified pivotal prognostic genes in BLCA and illuminated the intricate mechanisms dictating patient prognosis. This study not only presents a novel prognostic marker but also carves out potential avenues for immunotherapy and targeted therapeutic strategies in BLCA. By demystifying the profound impact of immune-related genes and the tumor immune environment, this study augments the comprehension and prognostic management of bladder cancer.
Integrating primary care, shared decision making, and community engagement to facilitate equitable access to multi-cancer early detection clinical trials
Authors: Thompson Cheryl L. , Buchanan Adam H. , Myers Ronald , Weinberg David S.
Published: February 2024

Effective implementation of cancer screening programs can reduce disease-specific incidence and mortality. Screening is currently recommended for breast, cervical, colorectal and lung cancer. However, initial and repeat adherence to screening tests in accordance with current guidelines is sub-optimal, with the lowest rates observed in historically underserved groups. If used in concert with recommended cancer screening tests, new biospecimen-based multi-cancer early detection (MCED) tests could help to identify more cancers that may be amendable to effective treatment. Clinical trials designed to assess the safety and efficacy of MCED tests to assess their potential for reducing cancer mortality are needed and many are underway. In the conduct of MCED test trials, it is crucial that participant recruitment efforts successfully engage participants from diverse populations experiencing cancer disparities. Strategic partnerships involving health systems, clinical practices, and communities can increase the reach of MCED trial recruitment efforts among populations experiencing disparities. This goal can be achieved by developing health system-based learning communities that build understanding of and trust in biomedical research; and by applying innovative methods for identifying eligible trial patients, educating potential participants about research trials, and engaging eligible individuals in shared decision making (SDM) about trial participation. This article describes how a developing consortium of health systems has used this approach to encourage the uptake of cancer screening in a wide range of populations and how such a strategy can facilitate the enrollment of persons from diverse patient and community populations in MCED trials.
Multilayered insights: a machine learning approach for personalized prognostic assessment in hepatocellular carcinoma
Authors: Zhang Zhao-Han , Du Yunxiang , Wei Shuzhen , Pei Weidong
Published: February 2024

Background

Hepatocellular carcinoma (HCC) is a complex malignancy, and precise prognosis assessment is vital for personalized treatment decisions.

Objective

This study aimed to develop a multi-level prognostic risk model for HCC, offering individualized prognosis assessment and treatment guidance.

Methods

By utilizing data from The Cancer Genome Atlas (TCGA) and the Surveillance, Epidemiology, and End Results (SEER) database, we performed differential gene expression analysis to identify genes associated with survival in HCC patients. The HCC Differential Gene Prognostic Model (HCC-DGPM) was developed through multivariate Cox regression. Clinical indicators were incorporated into the HCC-DGPM using Cox regression, leading to the creation of the HCC Multilevel Prognostic Model (HCC-MLPM). Immune function was evaluated using single-sample Gene Set Enrichment Analysis (ssGSEA), and immune cell infiltration was assessed. Patient responsiveness to immunotherapy was evaluated using the Immunophenoscore (IPS). Clinical drug responsiveness was investigated using drug-related information from the TCGA database. Cox regression, Kaplan-Meier analysis, and trend association tests were conducted.

Results

Seven differentially expressed genes from the TCGA database were used to construct the HCC-DGPM. Additionally, four clinical indicators associated with survival were identified from the SEER database for model adjustment. The adjusted HCC-MLPM showed significantly improved discriminative capacity (AUC=0.819 vs. 0.724). External validation involving 153 HCC patients from the International Cancer Genome Consortium (ICGC) database verified the performance of the HCC-MLPM (AUC=0.776). Significantly, the HCC-MLPM exhibited predictive capacity for patient response to immunotherapy and clinical drug efficacy (P < 0.05).

Conclusion

This study offers comprehensive insights into HCC prognosis and develops predictive models to enhance patient outcomes. The evaluation of immune function, immune cell infiltration, and clinical drug responsiveness enhances our comprehension and management of HCC.
Phenolic phytochemistry, in vitro, in silico, in vivo, and mechanistic anti-inflammatory and antioxidant evaluations of Habenaria digitata
Authors: Almasoudi Hassan Hussain , Saeed Jan Muhammad , Nahari Mohammed H. , Alhazmi Abdulfattah Yahya M. , Binshaya Abdulkarim S. , Abdulaziz Osama , Mahnashi Mater H. , Ibrar Muhammad , Zafar Rehman , Sadiq Abdul
Published: February 2024

Excessive and imbalance of free radicals within the body lead to inflammation. The objective of the current research work was to explore the anti-inflammatory and antioxidant potential of the isolated compounds from Habenaria digitata. In this study, the isolated phenolic compounds were investigated for in vitro and in vivo anti-inflammatory potential along with the antioxidant enzyme. The anti-inflammatory and antioxidant potential of the phenolic compounds was assayed via various enzymes like COX-1/2, 5-LOX and ABTS, DPPH, and H2O2 free radical enzyme inhibitory assay. These compounds were also explored for their in vivo antioxidant activity like examining SOD, CAT, GSH-Px, and MDA levels in the brain, heart, and liver. The anti-inflammatory potential was evaluated using the carrageenan-induced pleurisy model in mice. On the basis of initial screening of isolated compounds, the most potent compound was further evaluated for the anti-inflammatory mechanism. Furthermore, the molecular docking study was also performed for the potent compound. The phenolic compounds were isolated and identified by GC-MS/NMR analysis by comparing its spectra to the library spectra. The isolated phenolic compounds from H. digitata were 5-methylpyrimidine-24,4-diol (1), 3,5-dihydroxy-6-methyl-2,3-dihydropyran-4-one (2), 2-isopropyl-5-methylphenol (3), 3-methoxy-4-vinylphenol (4), and 2,6-dimethoxy-4-vinylphenol (5). In in vitro antioxidant assay, the most potent compound was compound 1 having IC50 values of 0.98, 0.90, and 5 μg/mL against ABTS, DPPH, and H2O2, respectively. Similarly, against COX1/2 and 5-LOX ,compound 1 was again the potent compound with IC50 values of 42.76, 10.70, and 7.40 μg/mL. Based on the in vitro results, compound 1 was further evaluated for in vivo antioxidant and anti-inflammatory potential. Findings of the study suggest that H. digitata contains active compounds with potential anti-inflammatory and antioxidant effects. These compounds could be screened as drug candidates for pharmaceutical research, targeting conditions associated with oxidative stress and inflammatory conditions in medicinal chemistry and support their ethnomedicinal use for inflammation and oxidative stress.
A comprehensive evaluation of the therapeutic potential of silibinin: a ray of hope in cancer treatment
Authors: Ray Pantha Prodip , Islam Mohammad Ashraful , Islam Mohammad Safiqul , Han Aixia , Geng Peiwu , Aziz Md. Abdul , Mamun Abdullah Al
Published: February 2024

Natural compounds hold promise in the search for cancer therapies due to their unique chemical structures and combinations that may effectively combat cancer while minimizing toxicity and side effects compared to conventional treatments. Silibinin, a natural lignan, has been found to possess strong anti-cancer activity against several types of human cancers based on emerging research. This study aims to provide an overview of the therapeutic potential of silibinin in the treatment and prevention of cancers. A comprehensive search was conducted using various internet databases such as PubMed, Google Scholar, and ScienceDirect to identify relevant research papers. Silibinin has been shown to exhibit anticancer activity against several types of cancers, including liver, lungs, breast, prostate, colorectal, skin, and bladder cancers. Its multifaceted mechanisms of action contribute to its therapeutic effects. Silibinin exerts antioxidant, anti-inflammatory, anti-proliferative, pro-apoptotic, anti-metastatic, and anti-angiogenic activities, making it a promising candidate for cancer therapy. One of the key mechanisms underlying the anticancer effects of silibinin is its ability to modulate multiple signaling pathways involved in cancer development and progression. It can inhibit the activation of various oncogenic pathways, including PI3K/Akt, NF-κB, Wnt/β-catenin, and MAPK pathways, thereby suppressing cancer cell proliferation, inducing cell cycle arrest, and promoting apoptosis. Silibinin possesses great potential as an effective treatment agent for cancer. The multifaceted mechanisms of action, favorable safety profile, and potential synergistic effects of silibinin with conventional therapies make it an attractive candidate for further investigation and development as a cancer treatment. However, more extensive clinical studies are necessary to fully establish the efficacy, optimal dosage, and long-term effects of silibinin in cancer treatment.
Quantum physics cannot be captured by classical linear hidden variable theories even in the absence of entanglement
Authors: Al Rasbi Kawthar , Clark Lewis A. , Beige Almut
Published: February 2024

Recent experimental tests of Bell inequalities confirm that entangled quantum systems cannot be described by local classical theories but still do not answer the question whether or not quantum systems could, in principle, be modeled by linear hidden variable theories. In this paper, we study the quantum trajectories of a single qubit that experiences a sequence of repeated generalized measurements. It is shown that this system, which constitutes a hidden quantum Markov model, is more likely to produce complex time correlations than any classical hidden Markov model with two output symbols. From this, we conclude that quantum physics cannot be replaced by linear hidden variable theories. Indeed, it has already been recognized that not only entanglement but also non-classical time correlations of quantum systems with quantum feedback are a valuable resource for quantum technology applications.
miR-146a is a critical target associated with multiple biological pathways of skin aging
Authors: Stafa Klodjan , Rella Antonella , Eagle Whitby , Dong Kelly , Morris Kelsey , Layman Dawn , Corallo Krystle , Trivero Jacqueline , Maidhof Robert , Goyarts Earl , Pernodet Nadine
Published: February 2024

Introduction: The skin is the largest organ of the human body and fulfills protective, immune, and metabolic functions. Skin function and barrier integrity are actively regulated through circadian rhythm–associated genes and epigenetic mechanisms including DNA methylation/demethylation, histone acetylation/deacetylation, and microRNAs. MicroRNA-146a-5p (miR-146a) has been associated with immune activation and skin inflammation; however, the role of miR-146a in regulating skin aging is an open question. This study investigated the role of miR-146a in fibroblasts obtained from different donors in the context of aging, and a potential association of this miRNA with circadian rhythm.

Methods: Normal human dermal fibroblasts (NHDFs) from 19y, 27y, 40y, and 62y old donors were used to analyze for miR-146a expression. Expression of miR-146a was downregulated with the hsa-mirVana miR-146a inhibitor, and upregulated with an extract from Adansonia digitata. Effects on markers of skin aging, including cell proliferation, production of Collagen-1 and inflammatory cytokines were assessed.

Results: We show that the expression of miR-146a decreases with age in dermal fibroblasts and inhibition of miR-146a in 19y and 62y old NHDFs induced significant changes in essential clock genes indicating an association with circadian rhythm control. Furthermore, downregulation of miR-146a results in a reduction of cellular proliferation, Collagen-1 production, as well as an increase in DNA damage and pro-inflammatory markers. Activation of miR-146a with the Adansonia digitata extract reduced the deleterious effects seen during miR-146a inhibition and increased miR-146a transport through exosome transfer.

Conclusion: miR-146a interacts with multiple biological pathways related to skin aging, including circadian rhythm machinery, cell-to-cell communication, cell damage repair, cell proliferation, and collagen production and represents a promising target to fight skin aging. Adansonia digitata extract can promote miR-146a expression and therefore support skin cells’ health.
Advanced deep learning models for phenotypic trait extraction and cultivar classification in lychee using photon-counting micro-CT imaging
Authors: Xue Mengjia , Huang Siyi , Xu Wenting , Xie Tianwu
Published: February 2024

Introduction

In contemporary agronomic research, the focus has increasingly shifted towards non-destructive imaging and precise phenotypic characterization. A photon-counting micro-CT system has been developed, which is capable of imaging lychee fruit at the micrometer level and capturing a full energy spectrum, thanks to its advanced photon-counting detectors.

Methods

For automatic measurement of phenotypic traits, seven CNN-based deep learning models including AttentionUNet, DeeplabV3+, SegNet, TransUNet, UNet, UNet++, and UNet3+ were developed. Machine learning techniques tailored for small-sample training were employed to identify key characteristics of various lychee species.

Results

These models demonstrate outstanding performance with Dice, Recall, and Precision indices predominantly ranging between 0.90 and 0.99. The Mean Intersection over Union (MIoU) consistently falls between 0.88 and 0.98. This approach served both as a feature selection process and a means of classification, significantly enhancing the study's ability to discern and categorize distinct lychee varieties.

Discussion

This research not only contributes to the advancement of non-destructive plant analysis but also opens new avenues for exploring the intricate phenotypic variations within plant species.
Consequences of plateau pika disturbance on plant-soil carbon and nitrogen in alpine meadows
Authors: Xu Xue Ting , Wang Yi Mo , Wang Xiao Zheng , Li Jie Na , Li Jie , Yang Ding , Guo Zheng Gang , Pang Xiao Pan
Published: February 2024

The presence of burrowing mammals can have extensive effects on plants and soils, creating bare soil patches in alpine meadows and potentially altering plant-soil carbon (C) and nitrogen (N). This study focuses on the plateau pika (Ochotona curzoniae) to examine the responses of plant-soil C and N to a small burrowing mammal from quadrat scale to plot scale. The density of active burrow entrances in disturbed plots was used as an indicator of the disturbance intensity of plateau pikas. The study found that the below-ground biomass (BGB) and its C and N, as well as soil C and N concentrations were significantly lower in bare soil areas than in vegetated areas and undisturbed plots. This shows that the quadrat scale limited the estimation of the C and N sequestration potential. Therefore, further research on the plot scale found that the disturbance by plateau pika significantly reduced plant biomass and BGB carbon stock. However, plateau pika did not affect soil C and N stocks or ecosystem C and N stocks. These findings suggest the bare soil patches formed by plateau pika caused plant and soil heterogeneity but had a trade-off effect on plant-soil C and N stocks at the plot scale. Nevertheless, moderate disturbance intensity increased the C and N sequestration potential in grassland ecosystems. These results provide a possible way to estimate how disturbance by small burrowing mammals affects C and N cycling in grassland ecosystems while accurately assessing the effects of small burrowing mammal densities on C and N in grassland ecosystems.
The recession generation? Age-period-cohort dynamics of political trust in six countries severely affected by the 2008 crisis
Authors: Valgarðsson Viktor Orri
Published: February 2024

A potential puzzle has emerged in the study of political trust: recent studies indicate that individuals' trust judgements are remarkably stable over their life course, but many other studies have observed long-term declines of trust in the aggregate. In particular, trust clearly declined substantially during and following the 2008 economic (and political) crisis in many European countries severely affected by it: especially Greece, Iceland, Ireland, Italy, Portugal and Spain. In this study, I focus on these countries and ask to what extent the crisis may have resulted in a “recession generation” of citizens who were in their formative years at the time and may have adopted less trusting political orientations that have persisted since, more or less independent of life-cycle and period effects. To answer this question, I present descriptive visualizations of trust levels by citizens' age over time and conduct statistical age-period-cohort (APC) analysis of political trust levels using generalized additive models (GAMs) on data from the Eurobarometer (1997–2022) and the European Values Study/World Values Survey (EVS/WVS). The findings are inconclusive: descriptive comparisons of age-by-year diagonals suggest this cohort of citizens may indeed have lower levels of trust than older and younger cohorts, above and beyond the effects of life cycle and period—but the results from GAMs differ between countries and data sources and only show the expected cohort effect in three cases. These tentative results have implications for our understanding of the nature of political trust judgements and the potential socializing effects of major political events on citizens attitude-formation, but they await confirmation in future studies which will have the benefit of longer-term data and potentially further innovations in APC analysis.
The interplay between ethics, justice, corporate social responsibility, and performance management sustainability
Authors: Tziner Aharon , Persoff Menachem
Published: February 2024

In the increasingly volatile 21st century globalized and interconnected business landscape, organizations face increasing scrutiny concerning their ethical behavior, social responsibilities, and overall performance. This paper looks at some of the factors that link the notions of ethics, justice, and Corporate Social Responsibility (CSR), with an eye to their theoretical underpinnings and complexities and their relationship to the efficient and sustainable operation of Sustainable Performance Management (with special emphasis on CSR). Drawing on theoretical foundations and empirical evidence, we provide practical recommendations for organizations to promote ethics, justice, CSR, and effective and sustainable performance management. Suggestions include fostering ethical leadership by modeling ethical behavior and promoting ethical decision-making. We believe that the suggested practical measures may bridge the gap between academic perspectives and the practical realities of ensuring favorable, sustainable, work climates and work processes.
The role of doulas in supporting perinatal mental health – a qualitative study
Authors: Quiray Joanne , Richards Elizabeth , Navarro-Aguirre Yesenia , Glazer Debra , Adachi Jamie , Trujillo Emily , Perera Dila , Garcia Elizabeth Perez , Bhat Amritha
Published: February 2024

Objective

The perinatal period presents several opportunities to identify and treat perinatal mental health and substance use disorders by integrating into existing care pathways. We aimed to examine the role of birth doulas in supporting their clients’ perinatal mental health.

Methods

Thematic content analysis of focus groups with doulas, and interviews with doula clients was used to characterize the doula-client relationship, investigate whether and how doulas provide mental health and substance use support, and identify barriers and recommendations for doulas to support their clients’ mental health. Participants were doula clients from communities underserved due to race, income, language and culture.

Results

Doulas and clients reported positive relationships, supported by congruence in culture, language, and lived experiences. Doulas varied in their confidence in identifying perinatal mental health problems, though most agreed that doulas could support their clients’ mental health to different degrees. Barriers to engaging in perinatal mental health treatments included low perceived need and socio-economic burden.

Conclusions

With adequate support and training, doulas can play an important role in supporting their client’s emotional well-being.
Cannabidiol usage, efficacy, and side effects: analyzing the impact of health conditions, medications, and cannabis use in a cross-sectional online pilot study
Authors: Binkowska Alicja Anna , Jakubowska Natalia , Redeł Anna , Laskowska Sandra , Szlufik Stanisław , Brzezicka Aneta
Published: February 2024

Background

Products containing cannabidiol (CBD) are attracting attention because of their potential therapeutic benefits and positive impacts on well-being and mental health. Although additional research is needed to understand their effectiveness in treating mental disorders, cross-sectional studies may help identify the factors influencing CBD use patterns. This study examined the impact of variables such as health status, medication use, medical supervision, gender, age, and cannabis use on CBD consumption patterns.

Materials and methods

A self-selected sample (n =267) of current or former CBD users was recruited via social media and participated in an online survey designed to collect data on basic demographics, health status, cannabis use, and CBD usage patterns.

Results

The sample (n = 267) consisted of 68.5% women with an average age of 30.21 years, of which 25.8% reported diagnosed psychiatric disorders and 49.4% reported cannabis use. The top five reasons for using CBD were self-reported stress (65.3%), sleep problems (51.7%), overall improvement in well-being (52.5%), improved mood (44.9%), and anxiety relief (40.9%). Our findings suggest that individuals with psychiatric disorders and those taking psychotropic medications are more likely to use CBD to relieve stress and anxiety. Overall, nearly 70% of the individuals found CBD products to be effective. Sublingual administration was more popular among non-cannabis users, while cannabis users preferred smoking and vaping to CBD administration.

Conclusion

Our results indicate that individuals using CBD for health and wellness reasons believe that it has potential health benefits. Further research using rigorous longitudinal designs is needed to delve deeper into the effectiveness of low-dose CBD and to better understand the therapeutic potential of CBD.
Beyond abuse and neglect: validation of the childhood interpersonal trauma inventory in a community sample of adults
Authors: Legendre Maxime , Milot Tristan , Rousseau Michel , Lemieux Roxanne , Garon-Bissonnette Julia , Berthelot Nicolas
Published: February 2024

Introduction

Childhood trauma is not restricted to abuse or neglect and other potentially traumatic experiences need to be pondered in practice and research. The study aimed to collect validity evidence of a new measure of exposure to a broad range of potentially traumatic experiences, the Childhood Interpersonal Trauma Inventory (CITI), by evaluating whether the CITI provides important additional information compared to a gold standard measure of childhood trauma.

Methods

The sample consisted of 2,518 adults who completed the CITI and self-reported measures of trauma (Childhood Trauma Questionnaire; CTQ) and psychiatric symptoms (PTSD Checklist for DSM-5; Kessler Psychological Distress Scale; Dissociative Experiences Scale).

Results

First, the sensitivity to properly detect participants having been exposed to childhood maltreatment, as measured by the CTQ (here used as the gold standard), ranged between 64.81% and 88.71%, and the specificity ranged between 68.55% and 89.54%. Second, hierarchical regressions showed that the CITI predicted between 5.6 and 14.0% of the variance in psychiatric symptoms while the CTQ only captured a very small additional part of variance (0.3 to 0.7%). Finally, 25% (n = 407) of CTQ-negative participants screened positive at the CITI. The latter reported higher severity of psychiatric symptoms than participants without trauma, suggesting that the CITI permits the identification of adults exposed to significant traumas that remain undetected using other well-validated measures.

Discussion

The findings underscore the utility of the CITI for research purposes and the latter’s equivalence to a gold standard self-reported questionnaire to predict negative outcomes.
Healthcare use according to deprivation among French Alzheimer's Disease and Related Diseases subjects: a national cross-sectional descriptive study based on the FRA-DEM cohort
Authors: Couret Anaïs , Lapeyre-Mestre Maryse , Renoux Axel , Gardette Virginie
Published: February 2024

Introduction

Pluriprofessional and coordinated healthcare use is recommended for Alzheimer's Disease and Related Diseases (ADRD). Despite a protective health system, France is characterized by persistent and significant social inequalities in health. Although social health inequalities are well documented, less is known about social disparities in healthcare use in ADRD, especially in France. Therefore, this study aimed to describe healthcare use according to socioeconomic deprivation among ADRD subjects and the possible potentiating role of deprivation by age.

Methods

We studied subjects identified with incident ADRD in 2017 in the French health insurance database (SNDS). We described a large extent of their healthcare use during the year following their ADRD identification. Deprivation was assessed through French deprivation index (Fdep), measured at the municipality level, and categorized into quintiles. We compared healthcare use according to the Fdep quintiles through chi-square tests. We stratified the description of certain healthcare uses by age groups (40–64 years, 65–74 years, 75–84 years, 85 years, and older), number of comorbidities (0, 1, 2–3, 4 comorbidities and more), or the presence of psychiatric comorbidity.

Results

In total, 124,441 subjects were included. The most deprived subjects had less use of physiotherapy (28.56% vs. 38.24%), ambulatory specialists (27.24% vs. 34.07%), ambulatory speech therapy (6.35% vs. 16.64%), preventive consultations (62.34% vs. 69.65%), and were less institutionalized (28.09% vs. 31.33%) than the less deprived ones. Conversely, they were more exposed to antipsychotics (11.16% vs. 8.43%), benzodiazepines (24.34% vs. 19.07%), hospital emergency care (63.84% vs. 57.57%), and potentially avoidable hospitalizations (12.04% vs. 10.95%) than the less deprived ones.

Discussion and conclusion

The healthcare use of subjects with ADRD in France differed according to the deprivation index, suggesting potential health renunciation as in other diseases. These social inequalities may be driven by financial barriers and lower education levels, which contribute to health literacy (especially for preventive care). Further studies may explore them.
Absence of short-term changes in knowledge and attitudes among household contacts of COVID-19 cases during the post-acute phase of the pandemic in Catalonia and Navarre, Spain
Authors: Bullón-Vela Vanessa , Toledo Diana , Echeverría Aitziber , Godoy Pere , Cenoz Manuel García , Parrón Ignasi , Castilla Jesús , Domínguez Angela , Martínez-Baz Iván
Published: February 2024

Objectives

To evaluate short-term changes in knowledge and attitude towards COVID-19 and preventive measures during the post-acute phase of the pandemic in Spain.

Methods

A survey was performed in Catalonia and Navarre between May-2022 and July-2023 in household contacts of COVID-19 cases. Knowledge and attitude were assessed at baseline and at three months, using a Likert scale. Responses were grouped according to correct or incorrect.

Results

At baseline, 172 subjects were contacted, 118 (69%) of which completed a follow-up interview three months later. Knowledge of correct hand-washing and mask protocols had maintained over time (−1.7%, p = 0.553 and − 2.5%, p = 0.473, respectively). Attitudes toward preventive measures was adequate in the first interview (86%), but attitudes regarding use of face masks decreased significantly (−9.1%, p = 0.048) over time in participants with higher risk of severe COVID-19. However, most short-term changes in knowledge and attitudes were not statistically significant.

Conclusion

Household contacts showed correct knowledge and attitude towards COVID-19 and its preventive measures, without significant changes in the short term despite a relaxation of government-mandated preventive measures. These results provide relevant information in case of a new health emergency due to respiratory viruses.
Informal and revolutionary feminist placemaking
Authors: Mehan Asma
Published: February 2024

Urban spaces, often emerging outside formal, recognized boundaries, underscore the pivotal role women play in shaping these environments. Despite the enduring influence of patriarchal and hierarchical structures that render these spaces overtly gendered, it is within these contexts that women’s actions become particularly transformative. Drawing from feminist urban theories of the global south, this paper investigates informal placemaking, feminist urban activism, revolutionary placemaking, online protest movements, and the networks that support women’s solidarity groups. Employing a mixed-methods approach that includes case studies, interviews with activists, and social media analysis, this research focuses on Iran, with a specific emphasis on the recent ‘Women, Life, Freedom’ movement. This study not only highlights how women navigate, contest, and reshape urban spaces through feminist urban activism and informal revolutionary placemaking but also anticipates the broader implications of these actions for urban planning and policy. By analyzing and comparing these case studies, we aim to uncover the commonalities, differences, challenges, and opportunities between informal/formal, state-led/bottom-up, and revolutionary feminist placemaking practices in Iran. The findings of this paper are expected to contribute valuable insights into the dynamics of feminist urbanism and suggest avenues for future research in enhancing the inclusivity and responsiveness of urban spaces to gendered needs and activism.
Promotion paths for regional public brand development of agri-products in urban areas: resource and institutional perspectives
Authors: Xu Pu , Huang Jie , Liu Min , Li Yufeng
Published: February 2024

This study aimed to find the determinants of regional public brand development of agri-products in urban areas and to explore the specific enhancement paths for the regional public brand development of agri-products. The regional public brand of agri-products in Shanghai was selected as the research object. The study utilized stratified and random sampling techniques to collect data from 320 questionnaires of agricultural business entities in Shanghai. Then a covariance-based structural equation model with institutional factors as mediating variables was constructed. Furthermore, the study empirically analyzed the mechanism of the role of resource endowment on regional public brand development of agri-products. The study showed that the main factors affecting regional public brand development of agri-products are market maintenance, public marketing, industrial resources, and regional resources, in order of importance. Regional and industrial resources positively affected agricultural regional public brand development through the masking effect of public marketing and the partially mediating role of market maintenance. Among them, market maintenance reversed the significant negative impact of regional resources on the regional public brand development of agri-products. The findings of the study contribute to enriching the existing theoretical literature on regional public branding of agri-products, and provide practical implications for the government to help formulate and improve regional brand development policies in urban areas.
Changing rates but persisting seasons: patterns of enterovirus infections in hospitalizations and outpatient visits in Denmark 2015-2022
Authors: Johannesen Caroline Klint , Egeskov-Cavling Amanda Marie , Jepsen Micha Phill Grønholm , Lange Theis , Krause Tyra Grove , Nygaard Ulrikka , Fischer Thea K.
Published: February 2024

Background

Enteroviruses (EV) constitute a diverse group of viruses manifesting a broad spectrum of clinical presentations in humans ranging from mild skin manifestations to more severe central nervous system (CNS) infection. Severe infections are reported with increased frequency globally, albeit the burden of diseases and the evolution of circulating viruses is largely unknown. We aimed to systematically explore contemporary trends in hospitalizations attributed to EV infections using national hospitalization discharge data.

Methods

We utilized the Danish National Patient Register which holds information on all contacts to Danish hospitals. We covered eight full years (2015-2022). Length-of-stay and administrative procedure codes were used to distinguish hospital admissions from outpatient visits. We utilized burden of disease estimates and distribution statistics.

Results

We identified 1029 hospitalizations and 1970 outpatient visits due to EV infections. The hospital admissions were primarily associated with CNS-infections (n=570, 55.4%) and skin (n=252, 24.5%), with variation over the studied period. The admitted patients were predominately children (43.8%) though patients were identified in all ages. The clinical manifestation was associated with age, with CNS infections dominating in the neonates and adults, and skin infections dominating in children 1-2 years (17.2%). Outpatient visits were predominantly observed among children 1-2 years (55.0%), presenting with skin symptoms (77.9%). We show a seasonal pattern of EV infections with summer/fall peaks and markedly impact on the EV hospitalization burden related to COVID-19 mitigation measures including national lockdown periods. 25% of hospital admissions occurred during 2020-2022.

Conclusion

EV infections caused both hospital admissions and outpatient visits in the period studied, predominately among children aged 1-2 years. Overall, skin infections dominated the outpatient visits, while the majority of hospital admissions were due to CNS infections. The pandemic period did not change the seasonal pattern of EV infections but notably lowered the number of admissions to hospital with CNS infection and raised the number of outpatient admissions with skin infection.
Unlocking the Code to Continuous Innovation: A Study of Key Determinants for Serial Innovators
Authors: Rosário Cátia , Varum Celeste , Botelho Anabela
Published: February 2024

This study investigates the fundamental role of collaboration in promoting a culture of continuous innovation in companies, driving them to become serial innovators, as evidenced by their industrial property registrations. Furthermore, it explores, in an innovative way, how various factors, such as the level of technological advancement in the sector, government support for innovation, investments in research and development, the degree of international involvement, and the level of education of employees, influence the probability of a company achieving the status of serial innovator. Based on data extracted from CIS reports spanning from 2012 to 2018, this research employs Logit models to explore the relationship between these variables. The findings clarify the positive impact of collaboration on a company’s ability to sustain innovation over time, thereby establishing itself as a serial innovator. The promotion of collaborative networks and partnerships with external entities, such as partner companies, research institutions, and government organizations, emerges as a powerful strategy for promoting innovation in organizational contexts. Furthermore, the study reveals the critical roles played by public support for innovation, the educational level of the workforce, and investments in R&D in increasing companies’ innovation capabilities. These factors contribute to increasing a company’s propensity for innovation and increasing its likelihood to become a serial innovator. A qualified and educated workforce is known to have the skills and knowledge required to actively engage in innovative activities, thus positioning companies as serial innovators.
Agricultural Trade Effects of China’s Free Trade Zone Strategy: A Multidimensional Heterogeneity Perspective
Authors: Zeng Huasheng , Yan Yue , Tao Ling , Luo Yuxi
Published: February 2024

The purpose of this work is to investigate the varied effects of China’s free trade zone (FTZ) strategy on agricultural trade and its underlying mechanisms. This work utilizes the propensity score matching–staggered difference-in-differences (PSM–Staggered DID) approach and synthetic control method (SCM) as its analysis methods. This study analyzes trade volume data between China and various countries alongside diverse economic indicators spanning from 1995 to 2020. The data sources include CEPII_BACI, the China Free Trade Zone Services website, the Penn World Tables, and the CEPII database. The novelty of this work lies in exploring the multidimensional heterogeneity of agricultural product trade effects in FTZs and their underlying mechanisms and extending the application of causal inference methods to the assessment of FTZs’ trade effects. Empirical analysis indicates that the establishment of FTZs with partner countries has contributed to the growth of China’s agricultural trade. The effects of agricultural trade resulting from China’s FTZ strategy exhibit multidimensional heterogeneity in the aspects of agreement terms, years, product categories, and network positions. Specifically, when it comes to the agreement terms, FTZs negotiated by China with broader scope, deeper terms, and stronger constraints have a more significant impact on agricultural trade due to the establishment of FTZs; in terms of years, the agricultural trade effects have gradually expanded over time; in terms of product categories, China has expanded its imports of primary agricultural products and semiprocessed agricultural products from partner countries, thus augmenting its exports of horticultural agricultural products and processed agricultural products. In terms of network positions, China, as a hub country, has greater agricultural trade effects than partner countries after the establishment of the FTZs. Finally, the paper proposes policy recommendations for optimizing the implementation strategy of FTZs.
Classification of Plant Leaf Disease Recognition Based on Self-Supervised Learning
Authors: Wang Yuzhi , Yin Yunzhen , Li Yaoyu , Qu Tengteng , Guo Zhaodong , Peng Mingkang , Jia Shujie , Wang Qiang , Zhang Wuping , Li Fuzhong
Published: February 2024

Accurate identification of plant diseases is a critical task in agricultural production. The existing deep learning crop disease recognition methods require a large number of labeled images for training, limiting the implementation of large-scale detection. To overcome this limitation, this study explores the application of self-supervised learning (SSL) in plant disease recognition. We propose a new model that combines a masked autoencoder (MAE) and a convolutional block attention module (CBAM) to alleviate the harsh requirements of large amounts of labeled data. The performance of the model was validated on the CCMT dataset and our collected dataset. The results show that the improved model achieves an accuracy of 95.35% and 99.61%, recall of 96.2% and 98.51%, and F1 values of 95.52% and 98.62% on the CCMT dataset and our collected dataset, respectively. Compared with ResNet50, ViT, and MAE, the accuracies on the CCMT dataset improved by 1.2%, 0.7%, and 0.8%, respectively, and the accuracy of our collected dataset improved by 1.3%, 1.6%, and 0.6%, respectively. Through experiments on 21 leaf diseases (early blight, late blight, leaf blight, leaf spot, etc.) of five crops, namely, potato, maize, tomato, cashew, and cassava, our model achieved accurate and rapid detection of plant disease categories. This study provides a reference for research work and engineering applications in crop disease detection.