bluuebunny/crossref_metadata_2025 huggingface dataset:
The pathogenic and clinical characteristics of severe fever with thrombocytopenia syndrome patients with co-infections
Authors: Song Huijuan , Zou Siyu , Huang Yi , Wang Yun , Wang Ting , Wei Wei , Sun Ziyong , Hou Hongyan
Published: December 2023

Objective

The study aimed to comprehensively describe and evaluate the pathogenic and clinical characteristics of severe fever with thrombocytopenia syndrome (SFTS) patients with co-infections.

Methods

We retrospectively collected clinical data and laboratory indicators of the SFTS patients at Tongji Hospital from October 2021 to July 2023.

Results

A total of 157 patients with SFTS virus (SFTSV) infection were involved in the analysis, including 43 co-infection and 114 non-co-infection patients. The pathogens responsible for co-infection were primarily isolated from respiratory specimens. Fungal infections, primarily Aspergillus fumigatus, were observed in 22 cases. Bacterial infections, with Klebsiella pneumoniae and carbapenem-resistant Acinetobacter baumannii as the main pathogens, were identified in 20 cases. SFTS patients with co-infection exhibited higher mortality (P=0.011) compared to non-co-infection patients. Among SFTS patients co-infected with both bacteria and fungi (8 cases) or specific drug-resistant strains (11 cases), the mortality rate was as high as 70% (14/19). In comparison with the non-co-infection group, SFTS patients with co-infection displayed significant alteration in inflammatory markers, coagulation function, and liver function indicators.

Conclusion

The mortality rate of SFTS patients with co-infection is relatively high, underscoring the need for enhanced monitoring and timely, appropriate treatment to minimize the mortality rate.
Preventive effect and mechanism of compound Danshen dripping pills on contrast-induced nephropathy after percutaneous coronary interventional
Authors: Fu Han , Wang Linrui , Ying Shuo , Zhao Zhicheng , Zhang Peng
Published: December 2023

Background

Contrast-induced nephropathy (CIN) is one of the most common complications after coronary stent implantation due to the extensive development of coronary catheterization technology. Compound Danshen dripping pills (CDDP) are clinically used as cardiovascular drugs, relieving systemic inflammatory response. Previous studies have observed that CDDP can decrease CIN incidence after coronary stent implantation with uncertain effectiveness.

Methods

We conducted a prospective, randomized, single-center, single-blind, controlled trial. We enrolled patients 18 years and older with unstable angina pectoris and NSTEMI who underwent PCI at the Tianjin Chest Hospital between November 1, 2021, and November 31, 2022, and followed for 30 days. Patients were randomized to CDDP and hydration therapy (10 capsules three times/day; N = 411) or hydration only (N = 411). The primary outcome was the contrast nephropathy incidence, defined as an elevation in serum creatinine by more than 25% or 44 μmol/L from baseline within 48–72 h of contrast exposure. Secondary outcomes included major adverse cardiovascular events post-surgery and during follow-up.

Results

After 48 h of operation, the two groups had statistical significance in Scr and BUN values (80.0 ± 12.59 vs. 84.43 ± 13.49, P < 0.05; 6.22 ± 1.01 vs. 6.40 ± 0.93, P < 0.05). The difference in Scr in 72 h between the two groups was statistically significant (76.42 ± 10.92 vs. 79.06 ± 11.58, P < 0.05). The CIN incidence was significantly lower in the CDDP group than in the hydration group. The CIN risk was significantly elevated in patients with LVEF <50%, contrast volume ≥160 ml, and hypertension, after 48 and 72 h of operation. The serum inflammation index levels NGAL, TNF-α, oxidative stress indexes SOD, and MDA significantly differed between the two groups. However, there was no significant difference in serum apoptosis indexes Bax, Bcl-2, and Casepase-9.

Conclusions

CDDP pre-treatment could prevent contrast-induced nephropathy. Inflammatory response and oxidative stress could be significant in the CDDP mechanism.
Spanish version of the Heart Failure Somatic Perception Scale (HFSPS v.3) – psychometric properties
Authors: Antonio-Oriola Rosa , Juárez-Vela Raúl , Czapla Michal , Durante Angela , Di Nitto Marco , Benavent-Cervera José Vicente , Saus-Ortega Carlos , Navas-Echazarreta Noelia , Cobos-Rincón Ana , Tejada-Garrido Clara Isabel , Santolalla-Arnedo Ivan , Gea-Caballero Vicente
Published: December 2023

Background

The Heart Failure Somatic Perception Scale (HFSPS) is an instrument that examine the existence and gravity of physical signs and symptoms in patients with heart failure, as well as early and subtle symptoms of HF that have clinical value, we aimed to translate and adapt the HFSPS from English to Spanish and evaluate the psychometric properties.

Method

HFSPS translation and back translation were carried out according to the method established by of Beaton et al. A confirmatory factor analysis (CFA) was performed to test the factor structures. To assess criterion-related validity, HFSPS factor scores were correlated with Kansas City Cardiomyopathy Questionnaire (KCCQ) scores using the Spearman correlation method. The reliability of the internal consistency of the HFSPS was determined by calculating the Cronbach's alpha coefficient and the factor score determination coefficient.

Results

Data from 173 patients with a mean age of 80.7 years (SD 9.1), women (51.1%), were analyzed. The majority (74.7%) were NYHA class II/III. The confirmatory factor analysis of four factors after eliminating one item showed fit indices close to the recommended indices: χ2 = 169.237, p < 0.001, CFI = 0.920, TLI = 0.901, RMSEA = 0.057 and SRMR = 0.061. Regarding the validity related to the criterion, all the scores of the HFSPS dimensions were correlated with all the scores of the KCCQ dimensions and were statistically significant. The reliability of the HFSPS factors of the coefficient of determination obtained scores of 0.73 for the dyspnea factor and early and subtle and lower for edema and chest discomfort with fewer items. Cronbach's alpha was acceptable for three of the scales >0.71 and poor 0.52 for chest discomfort with two items. The internal consistency index based on the model was 0.850.

Conclusion

The Spanish version of the HFSPS is a valid and reliable instrument that that would be feasible to use in clinical and research setting to evaluate in the perception of symptoms in patients with heart failure.
Teaching roles and communication strategies in interactive web broadcasts for practical lab and field work at a distance
Authors: Brown Venetia , Collins Trevor , Braithwaite Nicholas St. John
Published: December 2023

Despite the widespread use of synchronous technologies in online and distance learning environments, it is still challenging for distance educators to use effective pedagogical strategies and ensure the best possible interaction for undergraduate students. Within science disciplines, teaching and learning are particularly challenging due to not being co-located with actual experimental equipment in laboratory or field settings. Compared to face-to-face practical work, socio-emotional challenges can exist in distance practical work. For instance, face-to-face settings make feedback, rapport and relationship-building more readily available whereas interaction and support may be hampered, delayed, or require frequent fostering in an online or distance learning environment. Several interactive learning environments can mitigate these challenges. For example, students and lecturers can converse in real-time using webcasting technologies as a way to observe practical work and enhance cognitive and affective engagement. Team-teaching and effective communication strategies can provide pedagogical and social synergy as well as increased student interaction and engagement. This study investigates the teaching roles and communication strategies teaching teams used in interactive web broadcasts across five undergraduate practical science and technology modules at a distance-learning university. Using a qualitative approach, the study used interaction analysis methods to analyse 14 web broadcast transcripts and text-chat logs. Focus groups, semi-structured interviews and questionnaire data from the teaching teams and students were conducted to gain a fuller picture of experiences using and engaging with web broadcasts. Results show that affective communication strategies predominated the web broadcasts although the most frequent was a cognitive strategy. The use of these strategies varied depending on the role that the teaching team occupied during the web broadcasts. Triangulation, which was applied to confirm the results from various methods, showed that the strategies used satisfied the interests and expectations of the students. The results are applicable to other distance and conventional campus-based institutions that offer courses in practical science and technology as well as those that deliver courses via synchronous delivery methods with a focus on student engagement and practical work.
Designing effective discussion forum in MOOCs: insights from learner perspectives
Authors: Neha  , Kim Eunyoung
Published: December 2023

Introduction

The study focuses on addressing the gap between the perspectives of learners and the designers of Massive Open Online Courses (MOOCs), with a particular emphasis on asynchronous discussion forums within these courses. The primary objective of this study is to bridge the gap in understanding between MOOC designers and learners regarding the organization and usability of discussion forums.

Methods

It aims to achieve this objective through a navigation experiment that investigates three main factors: (1) Classification of Discussion Forum Posts: This involves how discussion forum posts are categorized or organized. (2) Design of Different Discussion Forum Patterns: The study explores the effectiveness of various discussion forum design patterns. (3) Evaluation of Learners’ Perspective: It assesses the learners’ experiences and viewpoints regarding the discussion forums. The study identifies a gap in prior research, where the learner’s perspective has often been neglected when examining discussion forum organization and usability in MOOCs.

Results

The results of the study indicate that the redesigned discussion forum was successful in reducing the time required by learners to navigate and explore the discussion forum. This suggests that improvements in interactive user interfaces, design elements, usability, and time efficiency can enhance the design of asynchronous discussion forums in MOOCs. The study offers recommendations and insights that MOOC designers can implement to create more effective and engaging discussion forums. These recommendations are based on the identified features and design elements that are crucial for learner satisfaction and interaction efficiency. Implementing the study’s findings by considering learner perspectives, MOOC designers can enhance the overall quality of the learning process. This includes making the learning environment more engaging for both learners and instructors.

Discussion

The study contributes to the field of online education by emphasizing the importance of learner perspectives and offering practical guidance on optimizing the design, usability, and time efficiency of discussion forums in MOOCs. In summary, this study seeks to improve the design of asynchronous discussion forums in MOOCs by focusing on the learners’ perspective, usability, and efficiency. It not only identifies key factors but also provides recommendations for MOOC designers to enhance the learning experience and engagement within these online courses.
Assessing generative A.I. through the lens of the 2023 Gartner Hype Cycle for Emerging Technologies: a collaborative autoethnography
Authors: King Stephen , Prasetyo Judhi
Published: December 2023

This brief research report examines claims made across contemporary media channels that generative artificial intelligence can be used to develop educational materials, in an experiment to develop a new course for advertising, PR and branding professionals. A collaborative auto-ethnography is employed to examine the journey and unintended consequences experienced by a non-technology lecturer engaging with generative AI for the first-time and is examined under the lens of the 2023 Gartner Hype Cycle for Emerging Technologies. The researchers were able to map lived experiences to stages of the Gartner model, presenting evidence that this tool could have extended utility in the field of human resources for the support of technology integration projects. They also recorded several potential manifestations of symptoms related to the problematic use of Internet (PUI). The implications of the findings contribute to ongoing public discourse regarding the introduction of artificial intelligence within education, with insights for policy development and governance, as well as faculty and student wellbeing.
Multiple myeloma following bone metastasis of renal cell carcinoma: a case report
Authors: Yu Hong , Zhang Shengnan , Feng Xiaohui , Gao Feng
Published: December 2023

Background

The clinical manifestations of multiple myeloma (MM) and bone metastatic tumor are both systemic bone pain, which is difficult to distinguish from imaging manifestations, leading to misdiagnosis and missed diagnosis.

Case summary

We reported a man with a unique case whose tumors were MM with bone metastatic tumor of clear cell renal cell carcinoma (CCRCC). Computed tomography (CT) showed multifocal osteolytic bone destruction, while magnetic resonance imaging (MRI) showed multifocal bone marrow infiltration with soft tissue mass. Pathology and immunohistochemistry established the diagnosis of the coexistence of myeloma with bone metastatic tumor of CCRCC in the spine. Immunotherapy and systemic chemotherapy were adopted in the clinic, and vertebral decompression was performed after anemia was corrected. This case with MM and bone metastatic tumor of CCRCC received radiotherapy and immunotherapy and acquired satisfying outcome after 1 year of follow-up.

Conclusion

It is difficult to differentiate MM and bone metastatic tumor on imaging, especially when there are bone lesions at the same time, which is an easily missed diagnosis and needs to be comprehensively evaluated in combination with functional procedures, clinical laboratory tests, and histopathology.
A novel solution for the optimal reactive power dispatch problem using an artificial neural network integrated with the firefly optimization algorithm
Authors: Jaisiva S. , Prabaakaran K. , Kumar C. , Lakshmanan M. , Alwabli Abdullah , Jaffar Amar , Alharbi Ayman , Miyajan Abdulaziz
Published: December 2023

This article applies a novel intelligence technique to solve power system issues faced daily. Compensation for reactive power is a significant issue faced by power system operators in research. The solution can be obtained by handling a multi-objective task and multiconstraints by reducing the active power loss and minimizing the voltage deviation at the load end. The novelty of the research focuses on integrating artificial neural network techniques with the firefly algorithm, a novel optimization algorithm for attaining an objective function. The Levenberg–Marquardt back-propagation algorithm is most suited for proper tuning of the control variables. The objective of this research can be attained by appropriately tuning the control variables connected with the IEEE test bus systems, which helps to maximally improve the voltage profile. Existing research studies have focused on reactive power management, which is attained by solving optimal reactive power flow problems employing nature-inspired approach techniques such as the symbiotic organism search algorithm, the cuckoo search algorithm, the black hole algorithm, the krill herd algorithm, and whale optimization. The evolving strategy, the firefly algorithm (FFA), minimizes the multiconstraint functions more competently and effectively than any conventional algorithm. To showcase the strength of the firefly algorithm incorporating AI, it is examined on standard IEEE test bus systems, namely, the 14-, 30-, and 58-bus networks. The obtained results quantify the effectiveness of the proposed methodology, that is, the artificial intelligence technique implementing the firefly algorithm gives better results than conventional methods.
Spatial symmetry and contrasting controls of surface pH and aragonite saturation state in the western North Pacific
Authors: Li Cheng-long , Wu Yingxu , Chen Kui , Lin Hongmei , Chen Liqi , Qi Di
Published: December 2023

Oceanic uptake of anthropogenic CO2 causes a decrease in seawater pH and aragonite saturation state (Ωarag), a process known as ocean acidification (OA). The western North Pacific is a hotspot for anthropogenic CO2 sinks; however, the spatiotemporal variability of pH and Ωarag and their controlling mechanisms remain unexplored. In this study, we provide high-frequency and high-precision underway measurements of sea surface pCO2 and pH to investigate the distribution and drivers of OA metrics across different hydrochemical gradients in the western North Pacific in late spring 2018, a season with the highest primary production in the year. Our results show that the surface pH reached near air-sea equilibrium in the subtropical zone but gradually increased northward across the Kuroshio Recirculation (KR) zone and peaked in the Kuroshio Extension (KE) zone. We found that sea surface temperature played the most prominent role in regulating pH, which was also counteracted by the effects of air–sea gas exchange and vertical mixing. In contrast, the distribution of Ωarag largely mirrored the pH and was governed by air–sea gas exchange and vertical mixing, the effects of which on Ωarag were enhanced by temperature. Biological activity thrived in the KE zone to increase both pH and Ωarag, which further reinforced the latitudinal pattern of pH, but weakened that of Ωarag. These findings are based on direct in situ measurements of pH and improve our understanding of the spatiotemporal variability of OA metrics in the western North Pacific region.
Multi-habitat carbon stock assessments to inform nature-based solutions for coastal seascapes in arid regions
Authors: Carpenter Stephen , Evans Claire , Pittman Simon J. , Antonopoulou Marina , Bejarano Ivonne , Das Himansu S. , Möller Mona , Peel Kate , Samara Fatin , Stamoulis Kostantinos A. , Mateos-Molina Daniel
Published: December 2023

Coastal ecosystems are integral to global carbon cycling and are increasingly recognised for their role in mitigating climate change. Within these ecosystems, the dynamics of carbon storage are diverse, varying significantly across different habitats. However, existing management strategies often focus predominantly on vegetated habitats neglecting the contributions of non-vegetated areas. We address this knowledge gap by providing a quantitative spatial assessment of carbon storage across coastal seascapes varying in plant biomass. Our comprehensive multi-habitat inventory of carbon stocks in the United Arab Emirates confirmed that mangroves are the largest carbon-storing habitat per hectare (94.3 t/ha), followed by saltmarshes (63.6 t/ha), microbial mats (51.6 t/ha), mudflats (46.8 t/ha), seagrass (32.5 t/ha), and coastal sabkha (31.0 t/ha).Mean carbon content in the top 50 cm of mangrove soils (53.9 t/ha) was similar to saltmarshes (52.7 t/ha), microbial mats (51.6 t/ha), and mudflats (46.8 t/ha). We highlight the importance of including non-vegetated habitats in carbon accounting and management strategies. Our findings suggest that a more context-specific whole-system approach is essential for guiding effective ecosystem management and designing ecologically meaningful Nature-based Solutions (NbS). Adopting this broader perspective in NbS can ensure more comprehensive conservation and restoration outcomes, which not only protect and enhance blue carbon ecosystems but also contribute to broader ecological and social benefits. This approach is pivotal for advancing our understanding of interconnected coastal ecosystems and their role in climate change mitigation.
A general method to determine the optimal whitecapping dissipation coefficient in the SWAN model
Authors: Lei Zhifeng , Wu Wenfan , Gu Yanzhen , Zhai Fangguo , Li Peiliang
Published: December 2023

Whitecapping dissipation is a critical term in affecting the accuracy of wave height modeling. However, the whitecapping dissipation coefficient (Cds), as a primary factor influencing whitecapping, is commonly determined through trial and error in various studies. In this study, we present a general method for calibrating the Simulating Waves Nearshore (SWAN) wave model using the whitecapping dissipation term, demonstrated through a detailed study in the South China Sea (SCS). Theoretical analysis reveals that the optimal Cds value shows a one-to-one correspondence with the applied wind field. Expectedly, under high-quality wind field conditions, the optimal Cds values tend to fall within a narrow range, regardless of the model domain or time span. Numerical experiments executed in the SCS further consolidated this inference, encompassing two common wind input schemes (ST6 and YAN) and three distinct whitecapping dissipation schemes (KOMEN, JANSSEN, and WST). Based on the experimental results, we have identified an optimal Cds range for each whitecapping dissipation scheme. Cds values within the optimal range consistently outperformed the default Cds in the SWAN model. Subsequent experiments verified the method’s applicability to the Gulf of Mexico and the Mediterranean Sea. The findings suggest that this research holds substantial promise for practical applications on a global scale.
Maritime greenhouse gas emission estimation and forecasting through AIS data analytics: a case study of Tianjin port in the context of sustainable development
Authors: Xie Wenxin , Li Yong , Yang Yang , Wang Peng , Wang Zhishan , Li Zhaoxuan , Mei Qiang , Sun Yaqi
Published: December 2023

The escalating greenhouse gas (GHG) emissions from maritime trade present a serious environmental and biological threat. With increasing emission reduction initiatives, such as the European Union’s incorporation of the maritime sector into the emissions trading system, both challenges and opportunities emerge for maritime transport and associated industries. To address these concerns, this study presents a model specifically designed for estimating and projecting the spatiotemporal GHG emission inventory of ships, particularly when dealing with incomplete automatic identification system datasets. In the computational aspect of the model, various data processing techniques are employed to rectify inaccuracies arising from incomplete or erroneous AIS data, including big data cleaning, ship trajectory aggregation, multi-source spatiotemporal data fusion and missing data complementation. Utilizing a bottom-up ship dynamic approach, the model generates a high-resolution GHG emission inventory. This inventory contains key attributes such as the types of ships emitting GHGs, the locations of these emissions, the time periods during which emissions occur, and emissions. For predictive analytics, the model utilizes temporal fusion transformers equipped with the attention mechanism to accurately forecast the critical emission parameters, including emission locations, time frames, and quantities. Focusing on the sea area around Tianjin port—a region characterized by high shipping activity—this study achieves fine-grained emission source tracking via detailed emission inventory calculations. Moreover, the prediction model achieves a promising loss function of approximately 0.15 under the optimal parameter configuration, obtaining a better result than recurrent neural network (RNN) and long short-term memory network (LSTM) in the comparative experiments. The proposed method allows for a comprehensive understanding of emission patterns across diverse vessel types under various operational conditions. Coupled with the prediction results, the study offers valuable theoretical and data-driven support for formulating emission reduction strategies and optimizing resource allocation, thereby contributing to sustainable maritime transformation.
Applied improvisation and transdisciplinary simulation: a necessity for any health curriculum?
Authors: De Wever Julie , Hainselin Mathieu , Gignon Maxime
Published: December 2023

From practising a procedure, such as a lumbar puncture, to explaining the aim and method and listening to concerns, the practice of health professionals requires a range of skills, often classified into technical and non-technical skills. Just as gestures and procedures can be taught, so can empathy and communication skills. This article introduces an innovative approach that unites both necessary types of skills. The specific framework of improvisational theatre (“improv”) has widespread application, including the training of health professionals (health training improv). By sharing close contexts and skills, health training improv provides a valuable, safe, and effective learning environment that allows practitioners to practice exercises and situations that align with particular objectives. We created a transdisciplinary team to develop a programme of Health Professional Training Improv (HPTI), bringing together the fields of health, psychology, simulation, and arts. Since 2019, various health student groups (nurses, midwives, medical doctors, and speech therapists) have participated in a 16-h applied improv training workshop under the supervision of a professional improv facilitator. Additionally, drama students completed applied improv for health courses, which trained them to act as simulated patients, with a view to the implementation of transdisciplinary improv simulation sessions at SimUSanté (a multidisciplinary health simulation facility located in France). Students’ feedback emphasized their interest in HPTI, the realism of the simulation sessions, and the skills they felt had improved. This feedback needs to be supplemented with quantitative data from standardised assessments. The development of this rich pedagogical and research framework, based on a transdisciplinary approach, has brought different fields together to prepare students for real patient encounters. It is essential to continue this training and conduct research to evaluate the curricula developed.
Biocontrol fungi induced stem-base rot disease resistance of Morinda officinalis How revealed by transcriptome analysis
Authors: Chen Zien , Han Panpan , Che Xiaoying , Luo Zhenhua , Chen Zeyu , Chen Jinfang , Shan Tijiang , Ding Ping
Published: December 2023

Introduction

Morinda officinalis How (MO) is a Rubiaceae plant, and its medicinal part is dried root, which is one of the “Four Southern Medicines” in China. At present, the plant MO breed seedlings mainly by cutting methods. Long-term asexual propagation makes pathogenic fungi accumulate in MO, leading to stem-base rot, which is caused by Fusarium oxysporum (Fon).

Methods

In this study, we used Trichoderma harzianum and Pestalotiopsis sp. as biocontrol fungi to investigate their antagonistic ability to Fon through in vitro antagonism and pot experiments, and combined with transcriptome sequencing to explore the mechanism of biocontrol.

Results

The results showed that both Trichoderma harzianum and Pestalotiopsis sp. could inhibit the growth of Fon. In addition, Trichoderma harzianum and Pestalotiopsis sp. could also enhance the basic immunity to Fon by increasing the activities of defensive enzymes such as POD and SOD, chlorophyll content, soluble sugar content, and oligosaccharide content of MO. The mechanism of biological control of stem-base rot of MO was discussed by transcriptome technology. MO was treated with two treatments, root irrigation with biocontrol fungi or inoculation with Fon after root irrigation with biocontrol fungi. Transcriptome sequencing revealed that nearly 11,188 differentially expressed genes (DEGs) were involved in the process of inducing MO systemic resistance to Fon by biocontrol fungi. Meanwhile, Gene Ontology (GO) classification and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, as well as transcription factor (TFs) prediction showed that there were significant differences in the expression levels of MO roots under different treatments. Also, the genes of the “MAPK signaling pathway” and “plant hormone signaling pathway” were analyzed, in which the ERFs gene of the ethylene signal transduction pathway participated in the metabolism of glycosyl compounds. It is speculated that the ethylene signal may participate in the immune response of the sugar signal to the infection of Fon. After qRT-PCR verification of 10 DEGs related to the ethylene signal transduction pathway, the expression trend is consistent with the results of transcriptome sequencing, which proves the reliability of transcriptome sequencing.

Discussion

In conclusion, this study preliminarily identified the molecular mechanism of the biological control of MO stem-base rot and provided a scientific basis for further research on the prevention and control mechanism of MO stem-base rot.
Post-stroke seizures, epilepsy, and mortality in a prospective hospital-based study
Authors: Freiman Sofia , Hauser W. Allen , Rider Flora , Yaroslavskaya Sofia , Sazina Olga , Vladimirova Elena , Kaimovsky Igor , Shpak Alexander , Gulyaeva Natalia , Guekht Alla
Published: December 2023

Background and objectives

Post-stroke epilepsy (PSE) is a significant concern in the elderly population, with stroke being a leading cause of epilepsy in this demographic. Several factors have shown consistent associations with the risk of developing PSE, including cortical lesions, initial stroke severity, younger age, and the occurrence of early seizures. The primary objectives of this study were two-fold: (1) to determine the incidence of PSE and (2) to identify the risk factors associated with PSE in a prospective cohort of post-stroke patients.

Methods

A prospective single-hospital study was conducted, involving patients diagnosed with acute ischemic and hemorrhagic stroke. The patients were followed up for 2 years (or until death) from the time of admission. Data about seizure occurrence and recurrent stroke were collected. Kaplan–Meyer curves were used for the assessment of PSE incidence and mortality. Possible predictors of PSE and mortality were selected from between-group analysis and tested in multivariable regressions.

Results

Our study enrolled a total of 424 patients diagnosed with acute stroke. Among them, 97 cases (23%) experienced early post-stroke seizures, and 28 patients (6.6%) developed PSE. The cumulative risks of developing PSE were found to be 15.4% after hemorrhagic stroke and 8.7% after ischemic stroke. In multivariable fine and gray regression with competitive risk of death, significant predictors for developing PSE in the ischemic cohort were watershed infarction (HR 6.01, 95% CI 2.29–15.77, p < 0.001) and low Barthel index at discharge (HR 0.98, CI 0.96–0.99, p = 0.04). Furthermore, patients who eventually developed PSE showed slower recovery and presented a worse neurologic status at the time of discharge. The in-hospital dynamics of the National Institutes of Health Stroke Scale (NIHSS) were significantly worse in the PSE group compared to the non-PSE group (p = 0.01).

Discussion

A higher proportion of cases experienced early seizures compared to what has been commonly reported in similar studies. Watershed stroke and low Barthel index at discharge were both identified as independent risk factors of PSE in ischemic strokes, which sheds light on the underlying mechanisms that may predispose individuals to post-stroke epilepsy after experiencing an ischemic stroke.
Neuroimaging to monitor worsening of multiple sclerosis: advances supported by the grant for multiple sclerosis innovation
Authors: Oh Jiwon , Airas Laura , Harrison Daniel , Järvinen Elina , Livingston Terrie , Lanker Stefan , Malik Rayaz A. , Okuda Darin T. , Villoslada Pablo , de Vries Helga E.
Published: December 2023

Key unmet needs in multiple sclerosis (MS) include detection of early pathology, disability worsening independent of relapses, and accurate monitoring of treatment response. Collaborative approaches to address these unmet needs have been driven in part by industry–academic networks and initiatives such as the Grant for Multiple Sclerosis Innovation (GMSI) and Multiple Sclerosis Leadership and Innovation Network (MS-LINK™) programs. We review the application of recent advances, supported by the GMSI and MS-LINK™ programs, in neuroimaging technology to quantify pathology related to central pathology and disease worsening, and potential for their translation into clinical practice/trials. GMSI-supported advances in neuroimaging methods and biomarkers include developments in magnetic resonance imaging, positron emission tomography, ocular imaging, and machine learning. However, longitudinal studies are required to facilitate translation of these measures to the clinic and to justify their inclusion as endpoints in clinical trials of new therapeutics for MS. Novel neuroimaging measures and other biomarkers, combined with artificial intelligence, may enable accurate prediction and monitoring of MS worsening in the clinic, and may also be used as endpoints in clinical trials of new therapies for MS targeting relapse-independent disease pathology.
Associations of urinary caffeine and caffeine metabolites with metabolic syndrome in US adults
Authors: Zhou Jianli , Qin Linyuan
Published: December 2023

Aims

The relationship between caffeine and metabolic syndrome (MetS) has only been evaluated from the perspective of caffeine consumption. The association between urinary caffeine and MetS is still unclear. This study examined the associations between urinary caffeine and its metabolites and MetS and its components among adults.

Methods

Data from the United States (US) National Health and Nutrition Examination Survey (NHANES) 2011–2014 was analyzed. NHANES is a stratified, multi-stage survey of all non-institutionalized persons in the US. A total of 2,394 subjects aged ≥ 18 years without missing data were selected in this study. Urinary caffeine and caffeine metabolite levels were quantified using high-performance liquid chromatography-electrospray ionization-tandem quadrupole mass spectrometry (HPLC-ESI-MS/MS) with stable isotope-labeled internal standards. We performed principal components analysis (PCA) to investigate the underlying correlation structure of 15 features of urinary caffeine and its metabolites and then used these principal components (PCs) as independent variables to conduct logistic regression analysis with or without restricted cubic spline (RCS) terms to explore the associations between caffeine metabolites and MetS.

Results

Two main PCs that were derived from the PCA explained 90.67% of the total variance of caffeine and its metabolites. The first PC (PC1, strongly correlated with 1-MU, 1,3-DMU, 1,7-DMU, 1,3,7-TMU, 1-MX, 1,3-DMX, 1,7-DMX, 1,3,7-TMX, and AAMU) was positively correlated with risk of MetS (OR = 1.27, p < 0.001) and all its components (all ORs > 1, all p-values < 0.001) in the unadjusted models, while in the adjusted models, it was positively correlated with MetS (OR = 1.16, p = 0.042) and central obesity (OR = 1.22, p < 0.001). In the unadjusted model, there were significant associations between the second PC (PC2, correlated with 3-MU, 7-MU, 3,7-DMU, 3-MX, 7-MX, and 3,7-DMX) and MetS (OR = 1.11, P = 0.030) and central obesity (OR = 1.16, P < 0.001), while in the adjusted models (adjustment variables include gender, age, race/ethnicity, education level and income-poverty ratio, smoking status, drinking, and physical activity), PC2 was positively associated with MetS (OR = 1.15, p = 0.035) and central obesity (OR = 1.15, p = 0.005) and negatively associated with raised triglycerides (TG) (OR = 0.84, p = 0.008). Moreover, we observed U-shaped associations between PC1 and the risk of raised TG both in unadjusted (Pnon–linear = 0.017) and adjusted (Pnon–linear = 0.014) models.

Conclusion

Urinary caffeine metabolites were positively associated with the risk of MetS and its components through different linear or non-linear patterns.
Impact of dentofacial deformity on the chance of being hired for a job
Authors: de Miranda Bruna Marlene , Gonçalez Miguel Patricia Tavian , Gonçalves Flavio Magno , Costa Davani Latarullo , Bronholo Thalita de Paris Matos , Guariza-Filho Odilon , Stechman-Neto José , Santos Rosane Sampaio , Zeigelboim Bianca Simone , de Araujo Cristiano Miranda
Published: December 2023

Objective

This study aimed to determine the impact of dentofacial deformity on an individual’s chances of being hired for a hypothetical job involving customer service.

Materials and methods

Face photographs (frontal and lateral) of 15 patients with moderate to severe dentofacial deformity, taken before and after orthodontic-surgical correction, were selected and randomized between two different questionnaires. In addition, five patients without dentofacial deformity were used as controls in both questionnaires. These questionnaires were taken by adults responsible for hiring personnel to work in commerce and business activities, graduates or postgraduates in business administration, with experience in recruiting and hiring personnel. The evaluation took place using a Likert scale with values ranging from 0 to 10 (in which 0 corresponded to complete disagreement and 10 to complete agreement), considering the following variables in a first impression judgment: honesty, intelligence, productivity at work, and hiring chance. Data were tabulated and statistical analysis was performed using a linear regression model for the explanatory variables that showed statistical significance in the analysis of variance (ANOVA). Effect size through Cohen’s d has been corrected for all comparisons performed.

Results

All re-examined domains demonstrated statistical differences even when included in a multivariate model (p < 0.05), with lower mean values for those requiring pre-treatment (presenting deformity), although the effect size was small for all comparisons.

Conclusion

Dentofacial deformity influenced the hiring chance, although not appearing to be a preponderant factor for hiring, acting as a tiebreaker among the candidates adopted.
Rural sixth-grade teachers’ and students’ perceptions of a mindfulness-based mental health curriculum
Authors: Folger Austin , Nekkanti Akhila , Williamson Gina , Guidinger Claire , Kelly Nichole R.
Published: December 2023

Introduction

Mindfulness-based interventions (MBIs) have the potential to improve students’ mood, behavior and cognitive functioning; yet, little is known about the feasibility and acceptability of adapting such programs for rural middle schools.

Methods

An exploratory qualitative evaluation was conducted to examine the feasibility and acceptability of an initial trial delivery of AttuneEd®, a trauma-informed, mindfulness-based mental health curriculum. In this single-group design study, 10 weekly lessons were taught in a middle school located in a rural town in the pacific northwest during 6th grade students’ P.E. classes. Three P.E. teachers, 26 6th grade teachers, and one school counselor attended trainings before and mid-curriculum implementation, where they provided qualitative feedback. A total of 160 students completed acceptability surveys before and after curriculum delivery.

Results

Three themes were identified from qualitative data: cultural considerations, teacher self-efficacy, and barriers and facilitators to student acceptability. Student acceptability ratings were high. Students reported, on average, that the classes helped them better understand themselves and others.

Conclusion

Some identified needs for future MBIs include (1) the need for culturally sensitive, trauma-informed delivery strategies; (2) teachers’ desire for more support in content delivery; and (3) students’ desire to have their own teachers deliver the curriculum. Findings elucidate the nuances associated with implementing an MBI in a rural middle school and have notable implications for development, scalability, and sustainability.
A cross-sectional historical study on the changes in self-esteem among Chinese adolescents from 1996 to 2019
Authors: Li Min , Xu Qinghong , Han Xiangwei , Jiang Yongzhi , Ya Ru , Li Jie
Published: December 2023

This study aimed to investigate the changes in self-esteem levels among Chinese adolescents from 1996 to 2019. In this cross-sectional historical study, 109 articles using the Rosenberg Self-esteem Scale (SES) were selected from three Chinese and five English databases. The results showed that: (1) The self-esteem level of Chinese adolescents was positively correlated with the period, indicating that the self-esteem of Chinese adolescents was gradually increasing. (2) The increase in self-esteem level of girls was higher than that of boys. (3) The increase in the self-esteem level of only child was higher than that of non-only child. (4) The self-esteem level of rural adolescents increased year by year. However, the self-esteem level of urban adolescents was not significantly correlated with the years. (5) The changes in macro social factors can significantly predict the upward trend of the self-esteem level of Chinese adolescents.
Light at night exposure and risk of breast cancer: a meta-analysis of observational studies
Authors: Luo Zining , Liu Zhenglong , Chen Hongjie , Liu Ying , Tang Nenghuan , Li Haoran
Published: December 2023

Objective

The aim of this meta-analysis is to evaluate the impact of light at night (LAN) exposure on the risk of breast cancer across varying factors.

Method

We conducted a systematic search of literature up to July 15, 2023, including PubMed, Cochrane Library, and Embase databases, using keywords related to breast cancer and LAN exposure. Cohort study and case–control study literature on night light exposure and breast cancer risk were included. Statistical analyses were performed using Stata software version 17.0. To address heterogeneity among different studies, we employed a random-effects model for analysis and assessed publication bias using funnel plots and Egger’s test.

Results

We included 13 case–control and 8 cohort studies with 734,372 participants worldwide. In the Newcastle-Ottawa Scale (NOS) assessments, the average score was 7.43 (ranging from 5 to 9). The overall meta-analysis demonstrated a significant association between exposure to LAN and risk of breast cancer (RR = 1.12; 95% CI: 1.06–1.17; I2 = 31.3%, p < 0.001). In the subgroup analysis, the results of the analysis for study types (case–control studies: RR = 1.16; 95% CI: 1.06–1.27; I2 = 40.4%, p = 0.001; cohort studies: RR = 1.08; 95% CI: 1.04–1.14; I2 = 0.0%, p < 0.001) and the results for light exposure types (outdoor LAN: RR = 1.07; 95% CI: 1.02–1.13; I2 = 30.9%, p = 0.004) are presented. In the analysis conducted for continents, the highest breast cancer risk was observed in the Asian population (Asian: RR = 1.24; 95% CI: 1.15–1.34; I2 = 0.0%, p < 0.001) and in the analysis of estrogen receptor status (ER+: RR = 1.10; 95% CI: 1.03–1.18; I2 = 17.0%, p = 0.005;). We also conducted an analysis on menopausal status and various lifestyles but did not find any statistically significant findings.

Conclusion

Our study demonstrates that LAN exposure is associated with an increased risk of breast cancer, particularly in the Asian population. Among the existing hypotheses, the idea that LAN exposure leads to a decrease in melatonin is widely accepted. However, until the mechanism of this effect is clearly elucidated, it is not recommended to take melatonin supplements for breast cancer prevention without medical advice. We hope to conduct more high-quality research, especially concerning the investigation of other environmental confounding factors, to further advance this field.
Exploratory study of the prevalence of food addiction and its relationship with executive functioning, depression, and reinforcement sensitivity in a sample of Mexican adults
Authors: Téllez-Rodríguez Marybeth Alejandra , Amaya-Hernández Adriana , Ortega-Luyando Mayaro , Serrano-Juárez Carlos Alberto , Yáñez-Téllez Guillermina , López-Alonso Verónica Elsa , Mancilla-Diaz Juan Manuel , Escartín-Pérez Rodrigo Erick
Published: December 2023

Introduction

The study of food addiction (FA) has become relevant due to its high prevalence, the negative impact on quality of life, and its association with neuropsychological and psychiatric symptoms. Several studies have provided scientific support for these associations, however, the results are contradictory. Additionally, studies have unsuccessfully elucidated the true nature of the failures in executive functioning in people with FA symptomatology, particularly when it comes to executive deficits. Therefore, the purpose of this research was to establish whether the presence of executive dysfunction, depressive symptoms and binge eating problems, as well as high reward sensitivity entails a greater severity in FA traits and high body mass index (BMI) in a sample of Mexican adults.

Methods

The sample consisted of Mexican men and women between 21–59 years (n = 36); who completed self-report questionnaires and performance tests to measure the study variables. Additionally, BMI was estimated with self-reported height and weight.

Results

Our results showed that a high number of FA symptoms were associated with higher executive dysfunction scores, greater reward sensitivity, and more severe depressive and binge eating problems. Furthermore, factors that are more strongly associated with higher scores of FA include severe executive deficits, greater activation of the punishment avoidance system, and persistence in the search for reward when the depressive symptoms increased. The factors that best explained changes in the estimated BMI of women were a decreased crystallized intellectual capacity and the inability to control food intake as the number of FA symptoms increased.

Discussion

In summary, the cognitive functioning profile characterized by general failure of the executive functioning, as well as a greater activation of the Punishment Avoidance System and persistence in the search for reward, were associated with greater severity of FA symptoms, especially when the depressive symptomatology was severe. In parallel, the psychopathology in participants associated with FA confirms the contribution of anxious and depressive symptomatology and borderline personality traits which could facilitate the expression of clinically relevant FA symptoms in women. Finally, we found that decreased crystallized intellectual capacity and inability to control food intake were linked to higher BMI when the number of FA symptoms increased.