bluuebunny/crossref_metadata_2025 huggingface dataset:
Clinical decision-making in patients with non-ST-segment-elevation myocardial infarction: more than risk stratification
Authors: Xiang Guangze , Cao Gaoyang , Gao Menghan , Hu Tianli , He Wujian , Gu Chunxia , Hong Xulin
Published: October 2024

Objective

This study aims to explore the association between risk stratification and total occlusion (TO) of the culprit artery and multivessel disease (MVD) in patients with non-ST-segment-elevation myocardial infarction (NSTEMI) and to obtain more data on clinical decision-making in addition to risk stratification.

Methods

We retrospectively collected data from 835 patients with NSTEMI admitted to our hospital between 1 January 2016 and 1 August 2022. All patients underwent percutaneous coronary intervention (PCI) within 72 h of admission. We excluded patients with a history of cardiac arrest, myocardial infarction, coronary artery bypass grafting, or PCI. Univariate and multivariate regression analyses were performed to determine the predictors of acute TO and MVD.

Results

A total of 349 (41.8%) patients presented with a TO culprit vessel, whereas 486 (58.2%) had a patent culprit vessel. Thrombolysis in myocardial infarction (TIMI) and Global Registry of Acute Coronary Events (GRACE) risk stratifications were similar between the two groups of patients (P = 0.712 and 0.991, respectively). The TO infarct vessel was more commonly observed in the left circumflex artery. Patients with TO were more likely to develop MVD (P = 0.004). Univariate and multivariate linear regression analyses were performed to evaluate the role of variables in the presence of TO and MVD in patients with NSTEMI. Regional wall motion abnormalities (RWMAs) [odds ratio (OR) = 4.022; confidence interval (CI): 2.782–5.813; P < 0.001] were significantly linked to TO after adjusting for potentially related variables. Furthermore, age (OR = 1.032; CI: 1.018–1.047; P < 0.001), hypertension (OR = 1.499; CI: 1.048–2.144; P = 0.027), and diabetes mellitus (OR = 3.007; CI: 1.764–5.125; P < 0.001) were independent predictors of MVD in patients with NSTEMI. TIMI and GRACE risk scores were related to MVD prevalence in the multivariate logistic regression model. Patients with a TO culprit vessel had a higher risk of out-of-hospital cardiac death after a 2-year follow-up compared with those without a TO culprit vessel (P = 0.022).

Conclusion

TIMI and GRACE risk scores were not associated with a TO of the culprit artery; however, they correlated with the prevalence of MVD in patients with NSTEMI. RWMA is an independent predictor of acute TO in patients with NSTEMI. Patients with a TO culprit vessel had worse clinical outcomes than those without a TO culprit vessel.
Behavior-specific praise: Enhancing on-task behavior in a rural elementary school
Authors: Newton Nicholas A. , Royer David James , Hogg Jennifer A. , Priddy Amber
Published: October 2024

Behavior-specific praise (BSP) is a low-intensity strategy used to reinforce positive student behaviors in school settings. BSP is currently a potentially evidence-based practice, with more studies with three or more participants needed to contribute to the literature base. This study investigated the impact of teacher-delivered BSP on student on-task behavior in an inclusive second grade classroom taught by a general and special education coteacher dyad in a rural Southeast school. Using an A-B-A-B withdrawal design, we observed the on-task behavior of four students with emotional and/or behavioral disorders (EBD) when the coteaching pair increased their rates of BSP after a brief training. All four students increased on-task behavior during BSP intervention conditions. Social validity questionnaires identified a positive impression from three out of four students and both teachers about the implementation of BSP in the classroom. Limitations and future directions are discussed.
Temporal trend in quality indicators of diabetes care performance among persons with type 2 diabetes in primary care practice: a serial cross-sectional analytical study, 2013/14 to 2021/22
Authors: Awiphan Ratanaporn , Kowatcharakul Woravut , Ruengorn Chidchanok , Noppakun Kajohnsak , Thavorn Kednapa , Nochaiwong Surapon
Published: October 2024

Background

Although the national-based policy implemented an initiative program to offer diabetes care management in Thailand, there are limited time trends of evidence to gauge whether the quality of diabetes care in primary care practice is improving. As such, we aimed to identify temporal trends in the quality of diabetes care performance among type 2 diabetes mellitus (T2DM) patients in primary care practice.

Methods

Using assembled patient-level data from a suburban community in northern Thailand, this serial retrospective cross-sectional analytical study obtained adult T2DM patients from nine consecutive fiscal years 2013/14 (n = 976) to 2021/22 (n = 1,242). Based on international and national guidelines recommended, nine quality indicators were examined, namely, smoking cessation, hemoglobin A1c monitoring, foot and eye examinations, albuminuria testing, statin prescription, angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker (ACEI/ARB) prescription for chronic kidney disease (CKD)/albuminuria, and blood pressure and glycemic control. Rates and time trends achieved in each quality indicator performance were estimated. Differences in the rates of patients who met each quality indicator across reimbursement schemes were explored.

Results

From 2013/14 to 2021/22, all quality indicators have increased over time (p for trend <0.05) except for smoking cessation, which remained steady. In 2021/22, only three out of nine quality indicators (i.e., smoking cessation, annual HbA1c monitoring, and annual foot examination) were successfully met at 70% or greater. Differences in quality indicators of diabetes performance were observed, particularly those under the Civil Servant Medical Benefit Scheme compared with other health insurance counterparts. For overall time trends analysis (compared with 2013/14), significant relative changes in the fiscal year 2021/22 were found in the annual foot examination (adjusted 12.1% increase; p = 0.048), annual albuminuria testing (adjusted 12.1% increase; p = 0.048), and ACEI/ARB prescription for persons with CKD or albuminuria (adjusted 22.2% increase; p = 0.025).

Conclusion

Among adult T2DM patients from 2013/14 to 2021/22, overall quality indicators for diabetes performance have substantially improved over time. However, health inequity regarding diabetes care performance was found across different reimbursement schemes. Sustainable policy implementation and innovative strategies to narrow health inequity are warranted to optimize diabetes care in primary care practice.
Activation of estrogen-related receptor γ by calcium and cadmium
Authors: Wang Qiaochu , Huang Nanxi , Psaltis John B. , Gahtani Reem M. , Yan Gai , Lu Dajun , Cahalan Shannon R. , Shi Xu , Copeland Robert L. , Haddad Bassem R. , Martin Mary Beth
Published: October 2024

Objective

Estrogen-related receptor γ (ERRγ) is a metabolic regulator with no identified physiological ligands. This study investigates whether calcium is an ERRγ ligand that mediates the effects of glucagon and whether cadmium, which mimics the effects of calcium, disrupts metabolism through ERRγ.

Method

HepG2, MCF-7, and HEK293T transfected with ERRγ were treated with glucagon, calcium, cadmium, ERRγ agonist, or ERRγ inhibitor. Cells were then collected for in vitro assays including real-time qPCR, Western blot, ChIP, immunofluorescence, mutational analysis, or gene set enrichment analysis. Molecular dynamics simulations were performed to study mutation sites.

Results

In HepG2 cells, treatment with glucagon, calcium, or cadmium re-localized ERRγ to the cell nucleus, recruited ERRγ to estrogen-related response elements, induced the expression of ERRγ-regulated genes, and increased extracellular glucose that was blocked by an ERRγ antagonist. In MCF-7 cells and HEK293T cells transfected with ERRγ, similar treatments induced the expression of metabolic genes. Mutational analysis identified S303, T429, and E452 in the ligand-binding domain as potential interaction sites. Molecular dynamics simulations showed that calcium induced changes in ERRγ similar to ERRγ agonist.

Conclusion

The results suggest that calcium is a potential ligand of ERRγ that mediates the effects of glucagon and cadmium disrupts metabolism through ERRγ.
An example of a field service plan for oceanographic submerged moorings
Authors: Schroeder Katrin , Borghini Mireno
Published: October 2024

Oceanographic mooring missions are critical for advancing our understanding of the world’s oceans and their role in the broader Earth system. These missions rely on the deployment and maintenance of complex observing systems, comprising subsurface, profiling, and surface moorings, which are designed to collect valuable data from the ocean interior. The success of these missions depends on meticulous planning and strategic execution, which are facilitated by the use of Field Service Plans (FSPs). FSPs are comprehensive and adaptable planning tools that integrate safety measures, contingency plans, and timelines to ensure the successful and safe recovery, maintenance, and deployment of mooring systems. In this paper, we provide a comprehensive guide to drafting, implementing, and adapting FSPs tailored to the unique challenges posed by oceanographic mooring missions. We highlight the critical role of FSPs in optimizing safety, data quality, and mission success, while also underscoring the need for flexibility and adaptation. Our aim is to provide practical guidance and a template for researchers, expedition leaders, and institutions engaged in oceanographic research.
Bio-optical variability of particulate matter in the Southern Ocean
Authors: Li Juan , Antoine David , Huot Yannick
Published: October 2024

The composition and size distribution of particles in the ocean control their optical (scattering and absorption) properties, as well as a range of biogeochemical and ecological processes. Therefore, they provide important information about the pelagic ocean ecosystem’s structure and functioning, which can be used to assess primary production, particle sinking, and carbon sequestration. Due to its harsh environment and remoteness, the particulate bio-optical properties of the Southern Ocean (SO) remain poorly observed and understood. Here, we combined field measurements from hydrographic casts from two research voyages and from autonomous profiling floats (BGC-Argo) to examine particulate bio-optical properties and relationships among several ecologically and optically important variables, namely the phytoplankton chlorophyll a concentration (Chl), the particulate absorption coefficient (ap), the particulate backscattering coefficient (bbp), and the particulate organic carbon (POC) concentration. In the clearest waters of the SO (Chl < 0.2 mg m−3), we found a significant contribution to absorption by non-algal particles (NAP) at 442 nm, which was up to 10 times greater than the absorption by phytoplankton. This makes the particulate bio-optical properties there remarkably different from typical oceanic case 1 water. A matchup analysis confirms the impact of this larger NAP absorption on the retrieval of Chl from satellite ocean colour observations. For waters with Chl > 0.2 mg m−3, no significant differences are observed between the SO and temperate waters. Our findings also demonstrate consistency in predicting phytoplankton carbon from either Chl or bbp, suggesting that both methods are applicable in the SO.
Black shank-mediated alteration of the community assembly of rhizosphere soil bacteria in tobacco
Authors: Ma Junchi , Chen Jili , Zhang Qing , Dong Yumei , Li Zhihua , Xie Junqiu , Yang Dongmei , Zhou Lequn , Yan Dahao , Zhou Bo , Liu Tao
Published: October 2024

Introduction

There is a close and complex interaction between the elements in the aboveground-underground ecosystem during the growth and development of plants. Specifically, when the aboveground part of plants is infected by pathogens, it induces the plant rhizosphere to synthesize specific root exudates. Consequently, a group of beneficial rhizosphere soil bacteria is recruited to help plants resist diseases. However, the changes in the rhizosphere soil bacterial community of plants under infection by oomycete pathogens remain unknown.

Methods

Three experimental treatments were set up in this experiment: soils inoculated with P. nicotianae, no-inoculation with P. nicotianae, and a control. The control treatment was composed of soils without transplanted tobacco plants, with the pathogen inoculated twice at an interval of eight days to ensure a successful P. nicotianae infection. P. nicotianae inoculation treatments were designed using the hyphal block inoculation method. In the non-inoculation treatment, tobacco plants were grown normally without pathogen inoculation. The tobacco plants were grown in a greenhouse.

Results

This study demonstrates that tobacco plants recruit microorganisms at the rhizosphere level as a defense mechanism against disease after infection by the oomycete pathogen Phytophthora nicotianae. Specific rhizosphere soil bacteria were screened in vitro to promote tobacco growth in a biofilm-forming manner, which induced the systemic resistance of the plants to P. nicotianae. The recruitment of rhizosphere soil bacteria to the inter-root zone of tobacco plants after infection by P. nicotianae can help subsequently cultivated tobacco plants in the same soil resist pathogen infestation.

Discussion

In conclusion, the present study confirms that infestation caused by oomycete pathogens alters the composition of the plant rhizosphere soil bacterial community and recruits a specific group of beneficial microorganisms that induce disease resistance and promote plant growth, thereby maximizing the protection of progeny grown in the same soil against the disease.
Essential protocols for decoding the composition and the functional effects of the nanoparticle protein corona
Authors: Morbidelli Maria , Papini Emanuele , Tavano Regina
Published: October 2024

Identifying the function and composition of the protein corona (i.e., the set of host proteins interacting with nanoparticles) is considered a crucial step in the development of nanoparticles for medical and pharmacological applications. Evidence suggests that host proteins can alter NP stability, biocompatibility, and pharmacokinetics features. Therefore, in this review, we provide an updated conceptual, methodological, and experimental guideline for the study of the NP protein corona. We surveyed recent literature (2009–2024) focusing on in vitro and in vivo studies. We show that several methods, including shot-gun proteomics, protein identification after in-gel digestion, and TMT proteomics, must be carefully applied and integrated to shed light on this complex phenomenon. Hence, we discuss in detail the relative protocols, highlighting the importance of the experimental conditions, ranging from the administration route to basic, but determinant, parameters like the kind of biological host fluids, the incubation times and the NP concentrations. Additionally, we propose a series of protocols that involve studying the protein corona using purified serum or plasma proteins, as well as sera depleted of specific complement proteins, to investigate the role of their deposition on the nanoparticle surface. We also explore how the role of the protein corona in inducing uptake by phagocytic cells can be examined; finally, we discuss several methodological approaches to study the effects of different coatings on the composition of the protein corona. Available data indicated that it is possible to characterize and punctually study the differential adsorption of specific proteins onto the nanoparticle surface. This allows designing NP chemical coatings features to actively guide the protein corona formation, thus improving nanotheranostic development.
Decision-making and attention deficit hyperactivity disorder: neuroeconomic perspective
Authors: Chachar Aisha Sanober , Shaikh Mahnoor Yousif
Published: October 2024

The decision-making process involves various cognitive procedures influenced by the interplay between cognition, motivation, and attention, forming a complex neural framework. Attention is a fundamental cognitive element within decision-making mechanisms, and one of the conditions affecting the attentional system is attention deficit hyperactivity disorder (ADHD). Decision-making impairments in ADHD have significant economic consequences, necessitating effective policies and interventions to address this critical issue. Research from computational models and neuroscience suggests how cognitive functions’ workings and problems affect decision-making and provide insights into the neural implications of decision-making. This article explores the intersection of decision-making, ADHD, and neuroeconomics, highlighting research gaps, potential contributions, and implications for future policies.
Synergizing traditional CT imaging with radiomics: a novel model for preoperative diagnosis of gastric neuroendocrine and mixed adenoneuroendocrine carcinoma
Authors: He Xiaoxiao , Yang Sujun , Ren Jialiang , Wang Ning , Li Min , You Yang , Li Yang , Li Yu , Shi Gaofeng , Yang Li
Published: October 2024

Objective

To develop diagnostic models for differentiating gastric neuroendocrine carcinoma (g-NEC) and gastric mixed adeno-neuroendocrine carcinoma (g-MANEC) from gastric adenocarcinoma (g-ADC) based on traditional contrast enhanced CT imaging features and radiomics features.

Methods

We retrospectively analyzed 90 g-(MA)NEC (g-MANEC and g-NEC) patients matched 1:1 by T-stage with 90 g-ADC patients. Traditional CT features were analyzed using univariable and multivariable logistic regression. Tumor segmentation and radiomics features extraction were performed with Slicer and PyRadiomics. Feature selection was conducted through univariable analysis, correlation analysis, LASSO, and multivariable stepwise logistic. The combined model incorporated clinical and radiomics predictors. Diagnostic performance was assessed with ROC curves and DeLong’s test. The models’ diagnostic efficacy was further validated in subgroup of g-NEC vs. g-ADC and g-MANEC vs. g-ADC cases.

Results

Tumor necrosis and lymph node metastasis were independent predictors for differentiating g-(MA)NEC from g-ADC (P < 0.05). The clinical model’s AUC was 0.700 (training) and 0.667(validation). Five radiomics features were retained, with the radiomics model showing AUC of 0.809 (training) and 0.802 (validation). The combined model’s AUCs were 0.853 (training) and 0.812 (validation), significantly outperforming the clinical model (P < 0.05). Subgroup analysis revealed that the combined model exhibited acceptable performance in differentiating g-NEC from g-ADC and g-MANEC from g-ADC, with AUC of 0.887 and 0.823 in the training cohort and 0.852 and 0.762 in the validation cohort.

Conclusion

A combined model based on traditional CT imaging and radiomic features provides a non-invasive and effective preoperative diagnostic method for differentiating g-(MA)NEC from g-ADC.
Identification of human pregnane X receptor antagonists utilizing a high-throughput screening platform
Authors: Lynch Caitlin , Margolis Ryan , Niebler Jacob , Travers Jameson , Sakamuru Srilatha , Zhao Tongan , Klumpp-Thomas Carleen , Huang Ruili , Xia Menghang
Published: October 2024

Pregnane X receptor (PXR) is a xenobiotic-sensing nuclear receptor with a well-established role in regulating drug metabolism and clearance. Recent studies have shown that PXR is involved in cell proliferation, apoptosis, immune response, and energy homeostasis. It is important to identify compounds that may modulate PXR activity to prevent drug-drug interactions, distinguish chemicals which could potentially generate toxicity, and identify compounds for further development towards therapeutic usage. In this study, we have screened the National Center for Advancing Translational Sciences (NCATS) Pharmacologically Active Chemical Toolbox (NPACT) library, which consists of 5,099 unique pharmacologically active synthetic and naturally derived small molecules to identify PXR antagonists. Ninety-four compounds were identified as potential PXR antagonists through a primary screen and 66 were confirmed in a confirmation study. Of these compounds, twenty potential PXR antagonists, including gamma-secretase modulator 2 (GSM2) and fusidic acid, were selected for further study based on their efficacy, potency, and novelty. Their PXR inhibition abilities were assessed by examining their effects on cytrochrome P450 (CYP) 3A4 mRNA expression using metabolically competent HepaRG cells. Additionally, a pharmacological inhibition assay using various concentrations of rifampicin as a stimulator was performed in HepG2-CYP3A4-hPXR cells to confirm the activity of the 20 selected compounds against PXR. Finally, HepaRG cells were used to confirm PXR antagonism by verification of a concentration-dependent decrease of CYP3A4 when co-treated with the known PXR agonist, rifampicin. Additionally, the potent actives were further investigated using molecular docking to find the potential interactions of the novel ligands with the active sites of hPXR. To our knowledge from the current study, GSM2 and fusidic acid have been identified as novel PXR antagonists, which provides useful information for further investigation regarding possible drug-drug interactions, as well as the detection of potential therapeutic effects or other toxic consequences.
Transforming respiratory diseases management: a CMO-based hospital pharmaceutical care model
Authors: Zarate-Tamames Borja , Garin Noe , Calvin-Lamas Marta , Jornet Sonia , Martinez-Simon Jose J. , Garcia-Gil Sara , Garcia-Rebolledo Eva M. , Morillo-Verdugo Ramon
Published: October 2024

Introduction

Respiratory diseases encompass a diverse range of conditions that significantly impact global morbidity and mortality. While common diseases like asthma and COPD exhibit moderate symptoms, less prevalent conditions such as pulmonary hypertension and cystic fibrosis profoundly affect quality of life and mortality. The prevalence of these diseases has surged by approximately 40% over the past 3 decades. Despite advancements in pharmacotherapy, challenges in drug administration, adherence, and adverse effects persist. This study aimed to develop and perform an interim validation of a Capacity-Motivation-Opportunity (CMO) model tailored for respiratory outpatients to enhance pharmaceutical care, which is the direct, responsible provision of medication-related care for the purpose of achieving definite outcomes that improve a patient’s quality of life, and overall wellbeing.

Methodology

This cross-sectional, multicenter study was conducted from March 2022 to March 2023. It comprised four phases: 1) forming an expert panel of 15 hospital pharmacists, 2) selecting respiratory pathologies based on prevalence and severity, 3) developing the CMO model’s pillars, and 4) integrating and conducting an interim validation of the model. The Capacity pillar focused on patient stratification and personalized care; the Motivation pillar aligned therapeutic goals through motivational interviewing; and the Opportunity pillar promoted the use of information and communication technologies (ICTs) for telemedicine.

Results

The model included eight respiratory diseases based on expert assessment. For the Capacity pillar, 22 variables were defined for patient stratification, leading to three priority levels for personalized pharmaceutical care. In a preliminary test involving 201 patients across six hospitals, the stratification tool effectively classified patients according to their needs. The Motivation pillar adapted motivational interviewing techniques to support patient adherence and behavior change. The Opportunity pillar established teleconsultation protocols and ICT tools to enhance patient monitoring and care coordination.

Conclusion

The CMO model, tailored for respiratory patients, provides a comprehensive framework for improving pharmaceutical care. By focusing on patient-centered care, aligning therapeutic goals, and leveraging technology, this model addresses the multifaceted needs of individuals with respiratory conditions. Future studies are necessary to validate this model in other healthcare systems and ensure its broad applicability.
Composition of lipid nanoparticles for targeted delivery: application to mRNA therapeutics
Authors: Vasileva Olga , Zaborova Olga , Shmykov Bogdan , Ivanov Roman , Reshetnikov Vasiliy
Published: October 2024

Today, lipid nanoparticles (LNPs) are some of the main delivery systems for mRNA-based therapeutics. The scope of LNP applications in terms of RNA is not limited to antiviral vaccines but encompasses anticancer drugs and therapeutics for genetic (including rare) diseases. Such widespread use implies high customizability of targeted delivery of LNPs to specific organs and tissues. This review addresses vector-free options for targeted delivery of LNPs, namely the influence of lipid composition of these nanoparticles on their biodistribution. In the review, experimental studies are examined that are focused on the biodistribution of mRNA or of the encoded protein after mRNA administration via LNPs in mammals. We also performed a comprehensive analysis of individual lipids’ functional groups that ensure biodistribution to desired organs. These data will allow us to outline prospects for further optimization of lipid compositions of nanoparticles for targeted delivery of mRNA therapeutics.
The potential of natural products to inhibit abnormal aggregation of α-Synuclein in the treatment of Parkinson’s disease
Authors: Yang Kaixia , Lv Zhongyue , Zhao Wen , Lai Guogang , Zheng Cheng , Qi Feiteng , Zhao Cui , Hu Kaikai , Chen Xiao , Fu Fan , Li Jiayi , Xie Guomin , Wang Haifeng , Wu Xiping , Zheng Wu
Published: October 2024

Parkinson’s disease (PD), as a refractory neurological disorder with complex etiology, currently lacks effective therapeutic agents. Natural products (NPs), derived from plants, animals, or microbes, have shown promising effects in PD models through their antioxidative and anti-inflammatory properties, as well as the enhancement of mitochondrial homeostasis and autophagy. The misfolding and deposition of α-Synuclein (α-Syn), due to abnormal overproduction and impaired clearance, being central to the death of dopamine (DA) neurons. Thus, inhibiting α-Syn misfolding and aggregation has become a critical focus in PD discovery. This review highlights NPs that can reduce α-Syn aggregation by preventing its overproduction and misfolding, emphasizing their potential as novel drugs or adjunctive therapies for PD treatment, thereby providing further insights for clinical translation.
Decoding tumor-fibrosis interplay: mechanisms, impact on progression, and innovative therapeutic strategies
Authors: Chen Huiguang , Xu Xuexin , Li Jingxian , Xue Yu , Li Xin , Zhang Kaiyu , Jiang Haihui , Liu Xiaoliu , Li Mingzhe
Published: October 2024

Malignant tumors are a category of diseases that possess invasive and metastatic capabilities, with global incidence and mortality rates remaining high. In recent years, the pivotal role of fibrosis in tumor progression, drug resistance, and immune evasion has increasingly been acknowledged. Fibrosis enhances the proliferation, migration, and invasion of tumor cells by modifying the composition and structure of the extracellular matrix, thereby offering protection for immune evasion by tumor cells. The activation of cancer-associated fibroblasts (CAFs) plays a significant role in this process, as they further exacerbate the malignant traits of tumors by secreting a variety of cytokines and growth factors. Anti-fibrotic tumor treatment strategies, including the use of anti-fibrotic drugs and inhibition of fibrosis-related signaling pathways such as Transforming Growth Factor-β (TGF-β), have demonstrated potential in delaying tumor progression and improving the effectiveness of chemotherapy, targeted therapy, and immunotherapy. In the future, by developing novel drugs that target the fibrotic microenvironment, new therapeutic options may be available for patients with various refractory tumors.
Mini-review on periodic properties of MEMS oscillators
Authors: Tian Yi , Shao Yabin
Published: October 2024

This paper features a survey of the periodic property of micro-electro-mechanical systems by the homotopy perturbation method, the variational iteration method, the variational theory, He’s frequency formulation, and Taylor series method. Fractal MEMS systems are also introduced, and future prospective is elucidated. The emphasis of this min-review article is put mainly on the developments in last decade, so the references, therefore, are not exhaustive.
Confirmatory validation of a brief patient-reported outcome measure assessing psychological distress in caregivers of malignant mesothelioma patients: the Mesothelioma Psychological Distress Tool–Caregivers
Authors: Granieri Antonella , Franzoi Isabella Giulia , Sauta Maria Domenica , Marinaccio Alessandro , Mensi Carolina , Rugarli Sabrina , Migliore Enrica , Cozzi Ilaria , Cavone Domenica , Vimercati Luigi , Grosso Federica , Bertolotti Marinella , Raimondi Giulia , Innamorati Marco , Bonafede Michela
Published: October 2024

Objective

The diagnosis of malignant mesothelioma (MM) can be devastating for both patients and caregivers, who may experience intense suffering from a physical, psychological, and interpersonal perspective. Despite the extensive literature on caregiver distress, there is a lack of validated measures to provide evidence of psychological distress of caregivers of MM patients. Therefore, in a previous study we developed the Mesothelioma Psychological Distress Tool–Caregivers (MPDT-C) to evaluate the specific profile of psychological distress in this population. This paper describes the item selection, factor analysis, and psychometric evaluation of the revised MPDT-C.

Methods

The analyses of this work first aimed to confirm the previous factorial structure. In the case of nonfit, it aimed to find an alternative structure and causes of nonfit in the model. Examination of the fit of the factorial model was conducted using a Bayesian approach.

Results

The final version of the MPDT-C is a 7-item self-report questionnaire consisting of one factor (Burden for the caregiver).

Conclusion

Having a short self-report questionnaire to assess the psychological distress experienced by caregivers of MM patients has several advantages. First, it is suited to epidemiological studies where multiple variables and measures are involved. Second, it is easy to administer and does not take much time to complete. Therefore, the MPDT-C can also be administered in clinical contexts, perhaps when MM patients attend follow-up medical evaluation. Lastly, short measures are less affected by cognitive fatigue, which is very common in a long battery of tests and could affect response reliability.
Associations between physical activity, long COVID symptom intensity, and perceived health among individuals with long COVID
Authors: Sirotiak Zoe , Lee Duck-chul , Brellenthin Angelique G.
Published: October 2024

Introduction

Physical activity (PA) is associated with better perceived health among individuals with chronic conditions. However, PA’s relationship with perceived health in people with long COVID is unclear and may be modified by long COVID symptom burden.

Methods

Participants with self-reported long COVID (N = 379) responded to an online survey cross-sectionally assessing PA levels, perceived physical and mental health, and intensity of CDC-defined long COVID symptoms on a 0–100 scale. Linear regression analyses assessed the associations between PA and perceived physical and mental health, after accounting for sociodemographic, health behavior, and long COVID intensity variables, with post-hoc analyses comparing health across PA levels.

Results

Increasing levels of PA were associated with increases in perceived physical health (β = 0.27, p < 0.001) and mental health (β = 0.19, p < 0.001) after accounting for sociodemographic and health behavior variables. PA remained significantly associated with perceived physical health (β = 0.15, p < 0.001) but not perceived mental health (β = 0.09, p = 0.067) after the adding long COVID intensity to the model. Insufficiently active and active groups reported significant better physical and mental health than the inactive group (ps < 0.05), while the highly active group did not significantly differ from any other group on perceived physical or mental health (ps > 0.05). Inactive individuals reported significantly greater long COVID symptom burden compared to each other PA level (ps < 0.05).

Conclusion

Higher levels of PA may be associated with better physical health among individuals with long COVID, even after accounting for symptom intensity. However, long COVID symptom intensity may confound the relationship between PA and mental health among individuals with long COVID.
Mechanisms of young professional engagement in health policy development: a cultural domain approach
Authors: Levites Strekalova Yulia A. , Modjarrad Lina , Midence Sara
Published: October 2024

Introduction

Engagement in public health policy development is critical to forward-thinking public health policy. There is a robust empirical case to support the prospect of the engagement of young adults in civic and research efforts. However, the literature is limited in conceptualizing the mechanisms of engagement in health policy development from the perspective of young adults. This study applied the concepts and methods of cognitive anthropology to identify the mechanisms of engagement in health policy development from the perspective of young people.

Methods

Online elicitation and cognitive domain analysis were applied to collect and analyze the data. Students enrolled in a public health leadership class at a large United States southeastern university were invited to participate in an online discussion. Saturation was achieved after the eighth submission. Data were analyzed qualitatively for repetition and recurrence and quantitatively to assess their cultural saliency.

Results

Thirty-two students submitted 147 individual engagement ideas. The analysis resulted in 24 unique mechanisms organized into 10 clusters. The most prominent engagement mechanisms included education, peer activities, advocacy, direct involvement, and activism.

Discussion

In the dynamic landscape of public health, active involvement in health policy development presents a crucial pathway for leadership among young professionals. The application of cognitive anthropology methods contributes to the emerging science of engagement and allows to identify and measure consensus around the pathways for engagement in health policy development among young professionals.
Identifying factors that influence the use of pathogen genomics in Australia and New Zealand: a protocol
Authors: Ong James D. H. , Zulfiqar Tehzeeb , Glass Kathryn , Kirk Martyn D. , Astbury Brad , Ferdinand Angeline
Published: October 2024

Introduction

Pathogen genomics, where whole genome sequencing technologies are used to produce complete genomic sequences of pathogens, is being increasingly used for infectious disease surveillance and outbreak response. Although proof-of-concept studies have highlighted the viability of using pathogen genomics in public health, few studies have investigated how end-users utilize pathogen genomics in public health. We describe a protocol for a study that aims to identify key factors that influence the use of pathogen genomics to inform public health responses against infectious diseases in Australia and New Zealand.

Methods

We will use qualitative comparative analysis (QCA), a case-oriented methodology that systematically compares and analyses multiple cases (or ‘units of analysis’), to identify multiple pathways leading to the use of pathogen genomics results in public health actions. As part of the process, we will develop a rubric to identify and define the use of pathogen genomics and individual factors affecting this process. Simultaneously, we will identify cases where pathogen genomics has been used in public health across Australia and New Zealand. Data for these cases will be collected from document review of publicly available and confidential documents and semi-structured interviews with technicians and end-users and summarized in a case report. These case reports will form the basis for scoring each case on the extent of the use of pathogen genomics data and the presence or absence of specific factors such as the ease of extracting essential information from pathogen genomics reports and perceptions toward pathogen genomics. Using the scores, cases will be analyzed using QCA techniques to identify pathways leading to the use of pathogen genomics data. These pathways will be interpreted alongside the cases to provide rich explanations of the use of pathogen genomics in public health.

Discussion

This study will improve our understanding of the key factors that facilitate or hinder the use of pathogen genomics to inform public health authorities and end-users. These findings may inform ways to enhance the use of pathogen genomics data in public health.
Identifying the subgroups of depression trajectories among the middle-aged and older Chinese individuals with chronic diseases: an 8-year follow-up study based on CHARLS
Authors: Pei Jiaxing , Hu Mei , Lu Qiang , Zhou Pengfei , Shang Yijing , Zhang Huiwang , Yang Xiaoguang , Li Yunming
Published: October 2024

Background

Prior studies have demonstrated a prevalent occurrence of depression among the middle-aged and older Chinese individuals with chronic diseases. Nevertheless, there is limited research on the specific subgroups of depression trajectories within this population and the factors influencing these subgroups.

Objective

To explore the changing trajectory and influencing factors of depression in the middle-aged and older individuals with chronic disease in China, and provide the data reference for the health management of the older adult population in China.

Methods

A longitudinal cohort study was conducted using the data from the China Health and Retirement Longitudinal Study (CHARLS) in 2011, 2013, 2015, 2018, and 2020. A total of 2,178 participants with complete data were included. The level of depression was evaluated using the Center for Epidemiologic Studies Depression Scale (CESD-10). The Latent Class Mixed Models (LCMM) were employed to estimate trajectories of depressive symptoms. The Kruskal-Wallis H test and the Pearson χ2 test were used to determine the significant factors affecting trajectory grouping. Subsequently, the multinomial logistic regression model was utilized to perform a multifactorial analysis of the variables impacting the trajectory subgroup of change in depressive symptoms.

Results

The LCMM-analysis revealed three distinct subgroups of depression trajectories: the “Low stable group” comprising 36.7% of the sample, the “Medium growth group” comprising 34.4% of the sample, and the “High growth group” comprising 28.9% of the sample. Among the baseline characteristics of different depression trajectory subgroups, there were significant differences in gender, residence, education, marital status, social activity participation, number of chronic diseases, smoking status, BMI, midday napping (minutes) and nighttime sleep duration (hours). Through multiple logistic regression analysis, our findings demonstrate that among the middle-aged and older Chinese individuals with chronic diseases, the following individuals should be the key groups for the prevention and treatment of depressive symptoms: Those who are young, female, residing in rural areas, having primary school education and below, being single, not participating in social activities, suffering from multiple chronic diseases, and having shorter naps and sleeping at night.

Conclusion

There is heterogeneity in the subgroups of depression trajectories among the Chinese middle-aged and older individuals with chronic diseases. The focus should be on the distinct characteristics of various trajectories of depression within the realm of health management.
The potential of including the microbiome as biomarker in population-based health studies: methods and benefits
Authors: Buytaers Florence E. , Berger Nicolas , Van der Heyden Johan , Roosens Nancy H. C. , De Keersmaecker Sigrid C. J.
Published: October 2024

The key role of our microbiome in influencing our health status, and its relationship with our environment and lifestyle or health behaviors, have been shown in the last decades. Therefore, the human microbiome has the potential to act as a biomarker or indicator of health or exposure to health risks in the general population, if information on the microbiome can be collected in population-based health surveys or cohorts. It could then be associated with epidemiological participant data such as demographic, clinical or exposure profiles. However, to our knowledge, microbiome sampling has not yet been included as biological evidence of health or exposure to health risks in large population-based studies representative of the general population. In this mini-review, we first highlight some practical considerations for microbiome sampling and analysis that need to be considered in the context of a population study. We then present some examples of topics where the microbiome could be included as biological evidence in population-based health studies for the benefit of public health, and how this could be developed in the future. In doing so, we aim to highlight the benefits of having microbiome data available at the level of the general population, combined with epidemiological data from health surveys, and hence how microbiological data could be used in the future to assess human health. We also stress the challenges that remain to be overcome to allow the use of this microbiome data in order to improve proactive public health policies.
Using large language models to support pre-service teachers mathematical reasoning—an exploratory study on ChatGPT as an instrument for creating mathematical proofs in geometry
Authors: Dilling Frederik , Herrmann Marc
Published: October 2024

In this exploratory study, the potential of large language models (LLMs), specifically ChatGPT to support pre-service primary education mathematics teachers in constructing mathematical proofs in geometry is investigated. Utilizing the theoretical framework of instrumental genesis, the prior experiences of students with LLMs, their beliefs about the operating principle and their interactions with the chatbot are analyzed. Using qualitative content analysis, inductive categories for these aspects are formed. Results indicate that students had limited prior experiences with LLMs and used them predominantly for applications that are not mathematics specific. Regarding their beliefs, most show only superficial knowledge about the technology and misconceptions are common. The analysis of interactions showed multiple types of in parts mathematics-specific prompts and patterns on three different levels from single prompts to whole chat interactions.
Dietary supplementation with Bacillus subtilis KC1 alleviates the negative effects of Mycoplasma gallisepticum on growth performance and amino acid metabolism of broiler chickens
Authors: Chen Xueping , Cui Jiayao , Wang Yuanyuan , Han Keguang , Huo Nairui , Wang Jian
Published: October 2024

The aim of this study was to explore whether and how Bacillus subtilis KC1 can enhance the growth performance of Mycoplasma gallisepticum (MG)-infected broilers. Broilers were randomly divided into 4 groups: the control group (basal diet), the MG group (basal diet + MG challenge), the KC group (basal diet + B. subtilis KC1 supplementation), the KC + MG group (basal diet + B. subtilis KC1 supplementation + MG challenge). The results showed that, compared to the control group, MG group exhibited significantly reduced body weight and average daily gain, and increased feed conversion ratio of broilers. However, compared to the MG group, the B. subtilis KC1 + MG group exhibited significantly improved above indicators of growth performance. In addition, compared to the MG group, B. subtilis KC1 + MG group exhibited increased superoxide dismutase levels and reduced levels of malondialdehyde, interleukin-1β, and tumor necrosis factor-α of broilers. Furthermore, metabolomics and transcriptomics analyses indicated that MG infection disrupted amino acid metabolism in broilers, whereas B. subtilis KC1 supplementation alleviated the abnormal amino acid metabolism caused by MG. These results suggested that B. subtilis KC1 may alleviate the poor growth performance caused by MG infection in broilers by improving amino acid metabolism.
Autonomous Self-Propelled Napa Cabbage Harvester: Cutting, Attitude Control, and Loading Modules
Authors: Park Yonghyun , Kim Myeong-Sin , Shin Juwon , Cho Yongjin , Kim Hyuck-Joo , Son Hyoung Il
Published: October 2024

This paper introduces an autonomous self-propelled Napa cabbage harvester, designed to significantly improve the efficiency and effectiveness of the traditionally labor-intensive harvesting process. The harvester integrates three key modules: a cutting, an attitude control, and a loading module. The cutting module is equipped with an attitude control module that ensures precise severance of the Napa cabbage stems, minimizing damage to the crop and maintaining product quality. The attitude control module employs a backstepping-based force control that continuously adjusts the cutting angle and height to ensure consistent cutting precision, even on uneven terrain, thereby optimizing the quality of the Napa cabbages. The loading module automates the collection and transfer of harvested Napa cabbages into storage, significantly reducing the physical burden on workers and improving operational efficiency. Field experiments demonstrated improvements, including a 42–66% reduction in task time compared to manual harvesting, as well as a 37% increase in cutting accuracy through the use of autonomous control. The proposed system presents a comprehensive solution for enhancing productivity, reducing labor demands, and maintaining high crop quality in Napa cabbage harvesting, offering a practical approach to modernizing agricultural practices.
The Ecotoxicity of Pesticides Used in Conventional Apple and Grapevine Production in Austria Is Much Higher for Honeybees, Birds and Earthworms than Nature-Based Substances Used in Organic Production
Authors: Goritschnig Lena , Durstberger Thomas , Burtscher-Schaden Helmut , Zaller Johann G.
Published: October 2024

It is debated whether the ecotoxicity of active substances (ASs) contained in synthetic pesticides applied in conventional agriculture (conASs) differs from nature-based ASs used in organic agriculture (orgASs). Using the official pesticide use statistics, we evaluated the ecotoxicity of ASs used in apple and grapevine production in Austria. In 2022, 49 conASs and 21 orgASs were authorized for apple production and 60 conASs and 23 orgASs were authorized for grapevine production in Austria. Based on the latest publicly available data on the actual use of pesticides in apple and grapevine production (from the year 2017), we evaluated their ecotoxicity based on information in the freely accessible Pesticide Properties and Bio-Pesticides Databases. The results showed that although the amount of ASs applied per hectare of field was higher in organic farming, the intrinsic toxicities of ASs used in conventional farming were much higher. The number of lethal toxic doses (LD50) of ASs applied in conventional apple orchards was 645%, 15%, and 6011% higher for honeybees, birds, and earthworms, respectively, than in organic apple production. In conventional vineyards, lethal doses for honeybees, birds, and earthworms were 300%, 129%, and 299% higher than in organic vineyards. We conclude that promoting organic farming would therefore contribute to the better protection of biodiversity on agricultural land and beyond.