bluuebunny/crossref_metadata_2025 huggingface dataset:
Advancing sustainable air quality through calibration of miniature air quality monitors with SRA-SVR combined model
Authors: Wang Xiaofei
Published: February 2024

Effective calibration of miniature air quality monitor measurements is an important task to ensure accurate measurements and guarantee sustainable air quality. The aim of this study is to calibrate the measurement data of miniature air quality monitors using Stepwise Regression Analysis and Support Vector Regression (SRA-SVR) combined model. Firstly, a stepwise regression analysis model is used to find a linear relationship between the measured data from the miniature air quality monitor and the air pollutant concentration. Secondly, support vector regression is used to extract the non-linear relationships which affect the pollutant concentrations hidden in the residuals of the stepwise regression analysis model. Finally, the residual calibration values of the SVR model outputs are added to the SRA model outputs to obtain the final outputs of the SRA-SVR combined model for the pollutants. Mean absolute error, relative mean absolute percent error and root mean square error are used to compare the effectiveness of the SRA-SVR combined model and some other commonly used statistical models for the calibration of miniature air quality monitors. The results show that the SRA-SVR combination model performs optimally on both the training and test sets, regardless of which pollutant and which indicator. The SRA-SVR combined model not only has the advantages of the SRA model’s strong interpretability and the SVR model’s high accuracy, but also has higher accuracy than the single model. By using this model to calibrate the measurements of the miniature air quality monitor, its accuracy can be improved by 61.33%–87.43%.
Both high and low dispersal? Apparently contradictory genetic patterns in the Antarctic littorinid gastropod Laevilacunaria antarctica
Authors: González-Wevar Claudio A. , Poveda Yarleth , Segovia Nicolás I. , Rosenfeld Sebastián , Maturana Claudia S. , Jeldres Vanessa , Schmider-Martínez Andreas , Gérard Karin , Spencer Hamish G. , Poulin Elie
Published: February 2024

How the near-shore marine benthic communities survived Quaternary glaciations in Antarctica is a major question for Southern Ocean biogeographers. Several hypotheses that consider life-history traits, such as bathymetric ranges and developmental modes, have been proposed. Near-shore species with high dispersive potential are expected to show star-like genealogies, with broadly distributed haplotypes surrounded by closely related variants at low frequencies, a consequence of rapid population post-glacial expansion mediated by larvae. By contrast, shallow-water taxa with low dispersal potential are expected to evidence marked genetic structure or even consist of separate cryptic species, due to their survival in small refugial populations subject to repeated bottlenecks. In this study we performed phylogeographic analyses on the high-latitude littorinid Laevilacunaria antarctica across its distribution from maritime Antarctica to South Georgia. This species is a highly abundant near-shore gastropod, commonly found on macroalgae, with low autonomous vagility and exhibits benthic protected development with no free-living dispersive stages. Such characteristics make this species a suitable model to test the above hypotheses. Contrary to low dispersal potential predictions, L. antarctica comprises a single unstructured unit across its distribution in maritime Antarctica, exhibiting a typical high-dispersal star-like, short-branched genealogy centered on a dominant broadly distributed haplotype. The South Georgia population, however, consists of a separate genetic unit, strongly differentiated from those of the maritime Antarctic. We estimate that these two genetic groups separated ~1.2 My, long before the Last Glacial Maximum and evolved independently in these areas. Our results thus provide partial support for the expected pattern for a near-shore marine benthic species with low innate dispersive potential. On a wider geographic scale (maritime Antarctica vs South Georgia), our results in L. antarctica provide support for the expected pattern for a near-shore marine benthic species with low innate dispersive potential. However, on a narrower scale (maritime Antarctica) life-history characters including the close association of the species with macroalgae, would allow dispersal and a species with low dispersal potential exhibits paradoxically an absence of genetic structure across hundreds of kilometers probably mediated by rafting.
Bee-diverse habitats positively affect seed set in wild plant species
Authors: Heuel Kim C. , Ayasse Manfred , Burger Hannah
Published: February 2024

Introduction

Interactions between flowering plants and visiting wild bees are crucial for ensuring pollination and subsequent plant reproductive success. However, bee diversity in an area has rarely been recorded in relation to seed set in native plants. In this project, we investigated the effect of local wild bee communities on seed set in four common wild plant species.

Methods

Potted plants of Centaurea jacea, Cichorium intybus, Sinapis arvensis, and Salvia pratensis were placed for pollination experiments, in two distinct habitat types that we expected to show distinct bee communities, namely near-natural grassland and perennial wild flower strips, in Germany.

Results

Our results showed that near-natural grassland had a higher bee species richness and an increased seed set compared with flower strips that displayed a higher bee abundance in most study locations. Although we found effects of bee diversity on seed set, we did not detect a significant effect of bee abundance. Furthermore, the seed set in response to wild bee diversity differed across the plant species.

Discussion

We conclude that bee-friendly habitats ensure a high seed set in wild plants, but that the impact varies between different plant species.
Genome-wide association and genomic prediction for iron and zinc concentration and iron bioavailability in a collection of yellow dry beans
Authors: Izquierdo Paulo , Sadohara Rie , Wiesinger Jason , Glahn Raymond , Urrea Carlos , Cichy Karen
Published: February 2024

Dry bean is a nutrient-dense food targeted in biofortification programs to increase seed iron and zinc levels. The underlying assumption of breeding for higher mineral content is that enhanced iron and zinc levels will deliver health benefits to the consumers of these biofortified foods. This study characterized a diversity panel of 275 genotypes comprising the Yellow Bean Collection (YBC) for seed Fe and Zn concentration, Fe bioavailability (FeBio), and seed yield across 2 years in two field locations. The genetic architecture of each trait was elucidated via genome-wide association studies (GWAS) and the efficacy of genomic prediction (GP) was assessed. Moreover, 82 yellow breeding lines were evaluated for seed Fe and Zn concentrations as well as seed yield, serving as a prediction set for GP models. Large phenotypic variability was identified in all traits evaluated, and variations of up to 2.8 and 13.7-fold were observed for Fe concentration and FeBio, respectively. Prediction accuracies in the YBC ranged from a low of 0.12 for Fe concentration, to a high of 0.72 for FeBio, and an accuracy improvement of 0.03 was observed when a QTN, identified through GWAS, was used as a fixed effect for FeBio. This study provides evidence of the lack of correlation between FeBio estimated in vitro and Fe concentration and highlights the potential of GP in accurately predicting FeBio in yellow beans, offering a cost-effective alternative to the traditional assessment of using Caco2 cell methodologies.
Interrelationships among litter chemistry, plant species diversity, and litter decomposition in tropical stream environments: a review
Authors: Rabelo Raiane S. , Sena Guilherme , Gonçalves José F.
Published: February 2024

Factors that may accelerate decomposition are important for ecosystem functioning since plant litter decomposition is essential for carbon and nutrient cycling, but it is a generally slow process, which can take weeks up to years. In this context, studies have demonstrated that the chemical characteristics of litter mixtures can accelerate decomposition through several mechanisms. Tropical riparian forests are known for their high diversity of tree species, which leads to a wide array of litter types in tropical streams, each with distinct chemical properties. This underscores the key role of litter chemistry in significantly influencing the litter breakdown rate within of these streams. Here, we explore the interplay among litter chemistry, plant species diversity, and litter decomposition in tropical streams. We highlight the importance of litter physical and chemical characteristics for decomposition, as well as of the preservation of the natural floristic composition of tropical riparian forests. In this sense, more attention must be paid to the influence that the environment and phylogeny may have on the phytochemical characteristics of riparian forest plant species in different tropic biomes, and how the insertion of different exotic species interferes with the decomposition process. Furthermore, we emphasize the need for additional research into the consequences of the loss of rare plant species with unique functional characteristics to decomposition in tropical ecosystems.
Donor and recipient risk factors for the development of primary graft dysfunction following lung transplantation
Authors: Jenkins J. Asher , Verdiner Ricardo , Omar Ashraf , Farina Juan Maria , Wilson Renita , D’Cunha Jonathan , Reck Dos Santos Pedro Augusto
Published: February 2024

Primary Graft Dysfunction (PGD) is a major cause of both short-term and long-term morbidity and mortality following lung transplantation. Various donor, recipient, and technical risk factors have been previously identified as being associated with the development of PGD. Here, we present a comprehensive review of the current literature as it pertains to PGD following lung transplantation, as well as discussing current strategies to mitigate PGD and future directions. We will pay special attention to recent advances in lung transplantation such as ex-vivo lung perfusion, thoracoabdominal normothermic regional perfusion, and up-to-date literature published in the interim since the 2016 ISHLT consensus statement on PGD and the COVID-19 pandemic.
Insights into future management of lupus nephritis
Authors: Askanase Anca D. , Dall’Era Maria , Almaani Salem
Published: February 2024

Lupus nephritis (LN) is a common and serious manifestation of systemic lupus erythematosus and is a major cause of mortality and morbidity. The current standard-of-care treatment for LN include conventional immunosuppressive treatments such as mycophenolate mofetil, cyclophosphamide, or azathioprine, combined with glucocorticoids. However, this treatment approach has several unmet needs, such as achieving only modest remission rates, potential toxicities, and prolonged cumulative steroid exposure, resulting in suboptimal patient outcomes. The LN treatment landscape is evolving rapidly to meet these unmet needs, with belimumab and voclosporin being the first drugs approved specifically for treatment of LN in 2020 and 2021, respectively. Here, we review the likely roles in LN therapy for several targeted therapies, including select therapies under investigation, and interventions in early development such as therapies targeting B cells (obinutuzumab, atacicept, ianalumab, and CD19 chimeric antigen T-cell therapy), inflammatory cytokines (secukinumab and anifrolumab), and the immunoproteasome (zetomipzomib); we also review treatment strategies designed to minimize steroid exposure. Treatments in development have demonstrated encouraging short- and long-term efficacy and steroid-sparing potential, potentially paving the way for improved treatment regimens and patient outcomes in LN.
Hydrodynamic performance and wake study of an UUV sailing near the free surface
Authors: Zhang Dapeng , Zhao Bowen , Sun Jiyuan
Published: February 2024

In this study, the SUBOFF UUV is numerically modelled in order to investigate the hydrodynamic features and effects of submerged navigation near the free surface. At various speeds and depths below the surface, the hydrodynamic behaviors of the SUBOFF UUV are examined. From the CFD results, we can deduce that submergence depth significantly affects total resistance of SUBOFF navigation nearby free surface. Because the Kelvin wake of SUBOFF creates wave-making resistance when approaching the open surface head-on, the fraction of pressure difference resistance becomes dramatically with an increase in Fr. The principle of superposition of the divergent wave system and the transverse wave system gradually reveals the divergent wave system as Fr grows larger. The wave making energy is greater, and the UUV needs more power to overcome the wave making resistance.
A comprehensive approach to evaluate coastal dune evolution in Haiyang, China
Authors: Ma Deming , Tian Ziwen , Zhu Chaoqi , Wang Yongzhi
Published: February 2024

Coastal dunes record the evolutionary process of coastal dynamic geomorphological systems, and provide valuable information on climate change, sea level changes, environmental evolution. These dunes are essential for global change research. In view of the dynamic changes in coastal dunes caused by extreme weather, coastal erosion and human activities, we propose a comprehensive evaluation method for coastal dune evolution, which monitors Haiyang Ten Thousand Meters Beach of China from three perspectives: point, line, and surface. This method integrates LiDAR, GNSS, and RS technologies. The research results indicate that between 2016 and 2018, 68% of the GNSS point measurements in 22 survey profiles of coastal dunes were eroded along the foreshore. During 2011-2020, the coastline based on the RS data basically remained stable; only the estuarine district underwent significant changes, and the overall average change rate was 1.32 m/a. The overall morphological evolution of coastal dunes obtained by LiDAR in 2018 was relatively stable, but there was a weak erosion trend in the foreshores of the coastal dunes. This study is beneficial for providing precise targets for remediating and restoring eroded coastal areas in the future. Furthermore, it can provide technical support and informational information for ecological environment protection, coastal erosion prevention and environmental evolution in the Haiyang Ten Thousand Meters Beach Marine Nature Reserve.
Two new Erythrobasidium species inhabiting the phyllosphere discovered in the Baotianman Nature Reserve in China
Authors: Lu Yun-Feng , Chai Chun-Yue , Hui Feng-Li
Published: February 2024

The genus Erythrobasidium is kind of species-scarce and undersampling basidiomycetes. Currently, only six species have been accepted into the genus and the diversity still remains incompletely understood. In this study, five Erythrobasidium strains were isolated in the surface of plant leaves collected from the Baotianman Nature Reserve, Henan Province, central China. Phylogenetic analyses of the small ribosomal subunit (SSU) rRNA gene, the internal transcribed spacer (ITS) region, the D1/D2 domain of the large subunit (LSU) rRNA gene, and the translation elongation factor 1-α (TEF1-α) gene coupled with morphological studies were employed to characterize and identify these isolates. As a result of these, two new species, namely E. turpiniae sp. nov. and E. nanyangense sp. nov., were delimited and proposed based on morphological and molecular evidence. A detailed description and illustration of both new species, as well as their differences with the close relatives in the genus are provided. An identification key for Erythrobasidium species is also provided. This study provides further insights into our understanding of Erythrobasidium species.
The potential of N2-modified cap analogues for precise genetic manipulation through mRNA engineering
Authors: Kurpiejewski Karol , Stankiewicz-Drogon Anna , Piecyk Karolina , Rajkowska Eliza , Skrzypczyk Paulina , Geng Jingping , Darzynkiewicz Edward , Grzela Renata , Jankowska-Anyszka Marzena
Published: February 2024

The technology of mRNA-based drugs is currently being intensively developed and implemented. Medical products of this type are already being used as viral vaccines and could potentially find application in a wide range of diseases. The tremendous interest in mRNA is due to the relatively easy production process, which can be quickly adapted to meet societal needs. The properties of this molecule depend on the structure of its individual components, such as the structure of the cap at the 5ʹ end. Modifications of the cap significantly affect the translational potential and lifespan of the whole mRNA. In the current work, we present the synthesis of derivatives of cap analogues modified at the N2 position of 7-methylguanosine. In addition to the substituent at the N2 position, the derivatives had either an extended triphosphate chain, a thiophosphate modification, an added cap1-modified nucleotide or an extended linker between the substituent and 7-methylguanosine. The compounds were tested for use as translation inhibitors and as components for mRNA preparation and appeared of interest for both applications.
Altered spontaneous brain activity in lumbar disc herniation patients: insights from an ALE meta-analysis of neuroimaging data
Authors: Qiu Zhiqiang , Zhong Xiangkai , Yang Qiming , Shi Xiran , He Libing , Zhou Huiling , Xu Xiaoxue
Published: February 2024

Objective

To explore the characteristics of spontaneous brain activity changes in patients with lumbar disc herniation (LDH), and help reconcile the contradictory findings in the literature and enhance the understanding of LDH-related pain.

Materials and methods

PubMed, Web of Science, Embase, Chinese National Knowledge Infrastructure (CNKI), SinoMed, and Wanfang databases were searched for literature that studies the changes of brain basal activity in patients with LDH using regional homogeneity (ReHo) and amplitude of low-frequency fluctuation/fraction amplitude of low-frequency fluctuation (ALFF/fALFF) analysis methods. Activation likelihood estimation (ALE) was used to perform a meta-analysis of the brain regions with spontaneous brain activity changes in LDH patients compared with healthy controls (HCs).

Results

A total of 11 studies were included, including 7ALFF, 2fALFF, and 2ReHo studies, with a total of 269 LDH patients and 277 HCs. Combined with the data from the ALFF/fALFF and ReHo studies, the meta-analysis results showed that compared with HCs, LDH patients had increased spontaneous brain activity in the right middle frontal gyrus (MFG), left anterior cingulate cortex (ACC) and the right anterior lobe of the cerebellum, while they had decreased spontaneous brain activity in the left superior frontal gyrus (SFG). Meta-analysis using ALFF/fALFF data alone showed that compared with HCs, LDH patients had increased spontaneous brain activity in the right MFG and left ACC, but no decrease in spontaneous brain activity was found.

Conclusion

In this paper, through the ALE Meta-analysis method, based on the data of reported rs-fMRI whole brain studies, we found that LDH patients had spontaneous brain activity changes in the right middle frontal gyrus, left anterior cingulate gyrus, right anterior cerebellar lobe and left superior frontal gyrus. However, it is still difficult to assess whether these results are specific and unique to patients with LDH. Further neuroimaging studies are needed to compare the effects of LDH and other chronic pain diseases on the spontaneous brain activity of patients. Furthermore, the lateralization results presented in our study also require further LDH-related pain side-specific grouping study to clarify this causation.

Systematic review registration

PROSPERO, identifier CRD42022375513.
Exploring the use of NIR and Raman spectroscopy for the prediction of quality traits in PDO cheeses
Authors: Stocco Giorgia , Gómez-Mascaraque Laura G. , Deshwal Gaurav Kr , Sanchez Jordi Cruz , Molle Arnaud , Pizzamiglio Valentina , Berzaghi Paolo , Gergov Georgi , Cipolat-Gotet Claudio
Published: February 2024

The aims of this proof of principle study were to compare two different chemometric approaches using a Bayesian method, Partial Least Square (PLS) and PLS-discriminant analysis (DA), for the prediction of the chemical composition and texture properties of the Grana Padano (GP) and Parmigiano Reggiano (PR) PDO cheeses by using NIR and Raman spectra and quantify their ability to distinguish between the two PDO and among their ripening periods. For each dairy chain consortium, 9 cheese samples from 3 dairy industries were collected for a total of 18 cheese samples. Three seasoning times were chosen for each dairy industry: 12, 20, and 36 months for GP and 12, 24, and 36 months for PR. A portable NIR instrument (spectral range: 950–1,650 nm) was used on 3 selected spots on the paste of each cheese sample, for a total of 54 spectra collected. An Alpha300 R confocal Raman microscope was used to collect 10 individual spectra for each cheese sample in each spot for a total of 540 Raman spectra collected. After the detection of eventual outliers, the spectra were also concatenated together (NIR + Raman). All the cheese samples were assessed in terms of chemical composition and texture properties following the official reference methods. A Bayesian approach and PLS-DA were applied to the NIR, Raman, and fused spectra to predict the PDO type and seasoning time. The PLS-DA reached the best performances, with 100% correctly identified PDO type using Raman only. The fusion of the data improved the results in 60% of the cases with the Bayesian and of 40% with the PLS-DA approach. A Bayesian approach and a PLS procedure were applied to the NIR, Raman, and fused spectra to predict the chemical composition of the cheese samples and their texture properties. In this case, the best performance in validation was reached with the Bayesian method on Raman spectra for fat (R2VAL = 0.74). The fusion of the data was not always helpful in improving the prediction accuracy. Given the limitations associated with our sample set, future studies will expand the sample size and incorporate diverse PDO cheeses.
Protein succinylation: regulating metabolism and beyond
Authors: Hou Xiaoli , Chen Yiqiu , Li Xiao , Gu Xianliang , Dong Weixia , Shi Jie , Ji Shaoping
Published: February 2024

Modifications of protein post-translation are critical modulatory processes, which alters target protein biological activity，function and/or location, even involved in pathogenesis of some diseases. So far, there are at least 16 types of post-translation modifications identified, particularly through recent mass spectrometry analysis. Among them, succinylation (Ksuc) on protein lysine residues causes a variety of biological changes. Succinylation of proteins contributes to many cellular processes such as proliferation, growth, differentiation, metabolism and even tumorigenesis. Mechanically, Succinylation leads to conformation alteration of chromatin or remodeling. As a result, transcription/expression of target genes is changed accordingly. Recent research indicated that succinylation mainly contributes to metabolism modulations, from gene expression of metabolic enzymes to their activity modulation. In this review, we will conclude roles of succinylation in metabolic regulation of glucose, fat, amino acids and related metabolic disease launched by aberrant succinylation. Our goal is to stimulate extra attention to these still not well researched perhaps important succinylation modification on proteins and cell processes.
Explorative study for the rapid detection of Fritillaria using gas chromatography-ion mobility spectrometry
Authors: Dai Yuping , Liu Shanshuo , Yang Li , He Ye , Guo Xiao , Ma Yang , Li Shunxiang , Huang Dan
Published: February 2024

Fritillaria is a well-known health-promoting food, but it has many varieties and its market circulation is chaotic. In order to explore the differences in volatile organic compounds (VOCs) among different varieties of Fritillaria and quickly and accurately determine the variety of Fritillaria, this study selected six varieties of Fritillaria and identified and analyzed their volatile components using gas chromatography-ion mobility spectrometry (GC-IMS), establishing the characteristic fingerprints of VOCs in Fritillaria. In all samples, a total of 76 peaks were detected and 67 VOCs were identified. It was found that the composition of VOCs in different varieties of Fritillaria was similar, but the content was different. Combined with chemometric analysis, the differences between VOCs were clearly shown after principal component analysis, cluster analysis, and partial least-squares discriminant analysis. This may provide theoretical guidance for the identification and authenticity determination of different varieties of Fritillaria.
Interpretable machine learning model to predict surgical difficulty in laparoscopic resection for rectal cancer
Authors: Yu Miao , Yuan Zihan , Li Ruijie , Shi Bo , Wan Daiwei , Dong Xiaoqiang
Published: February 2024

Background

Laparoscopic total mesorectal excision (LaTME) is standard surgical methods for rectal cancer, and LaTME operation is a challenging procedure. This study is intended to use machine learning to develop and validate prediction models for surgical difficulty of LaTME in patients with rectal cancer and compare these models’ performance.

Methods

We retrospectively collected the preoperative clinical and MRI pelvimetry parameter of rectal cancer patients who underwent laparoscopic total mesorectal resection from 2017 to 2022. The difficulty of LaTME was defined according to the scoring criteria reported by Escal. Patients were randomly divided into training group (80%) and test group (20%). We selected independent influencing features using the least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression method. Adopt synthetic minority oversampling technique (SMOTE) to alleviate the class imbalance problem. Six machine learning model were developed: light gradient boosting machine (LGBM); categorical boosting (CatBoost); extreme gradient boost (XGBoost), logistic regression (LR); random forests (RF); multilayer perceptron (MLP). The area under receiver operating characteristic curve (AUROC), accuracy, sensitivity, specificity and F1 score were used to evaluate the performance of the model. The Shapley Additive Explanations (SHAP) analysis provided interpretation for the best machine learning model. Further decision curve analysis (DCA) was used to evaluate the clinical manifestations of the model.

Results

A total of 626 patients were included. LASSO regression analysis shows that tumor height, prognostic nutrition index (PNI), pelvic inlet, pelvic outlet, sacrococcygeal distance, mesorectal fat area and angle 5 (the angle between the apex of the sacral angle and the lower edge of the pubic bone) are the predictor variables of the machine learning model. In addition, the correlation heatmap shows that there is no significant correlation between these seven variables. When predicting the difficulty of LaTME surgery, the XGBoost model performed best among the six machine learning models (AUROC=0.855). Based on the decision curve analysis (DCA) results, the XGBoost model is also superior, and feature importance analysis shows that tumor height is the most important variable among the seven factors.

Conclusions

This study developed an XGBoost model to predict the difficulty of LaTME surgery. This model can help clinicians quickly and accurately predict the difficulty of surgery and adopt individualized surgical methods.
SelfCare when working from home: easier but also more important
Authors: Krick Annika , Arnold Miriam , Felfe Jörg
Published: February 2024

Introduction

Telework brings opportunities (e.g., flexibility) but also potential risks for health (e.g., fewer boundaries, constant availability). SelfCare could be a relevant work-related resource to reduce these health risks when working from home. SelfCare is part of the Health-oriented Leadership model and describes how individuals prioritize their own health, are aware of signs of stress, and actively promote their own health. In this paper, we postulate that telework enables more SelfCare at home, e.g., due to higher flexibility and autonomy. As SelfCare at home can be used more flexibly, it is also conceivable that the effectiveness of SelfCare increases the more employees work from home. Additionally, for hybrid working employees, the question arises whether SelfCare at both work contexts is distinct and makes an independent contribution to health and whether they even reinforce each other.

Methods

Our hypotheses were tested in a longitudinal study withN= 727 employees from different industries. This study examined (1) the level of SelfCare on-site and at home (within- and between-person-effects), (2) the moderating effect of telework intensity on the effectiveness of SelfCare at home on health and performance indicators, and (3) direct and interacting effects of SelfCare at home and on-site for health.

Results

Between- and within-person-differences show that SelfCare is more prevalent when working from home. Furthermore, SelfCare at home is related to less strain and health complaints as well as more relaxation and performance for individuals with higher telework intensity. SelfCare at home and on-site independently predict strain and health complaints and interact with regard to strain.

Discussion

SelfCare appears to be more relevant with higher telework intensity and is thus an even more important health resource in the telework context. Organizations should provide continuing interventions and online tools to promote SelfCare among employees and leaders. Since little is known about the level and the effects of SelfCare in the telework context, these findings expand previous research on Health-oriented Leadership in the telework context.
Parent-perceived recurrent pain in children: associations with maternal pain, depressiveness, socioeconomic status, and children's behavioural difficulties
Authors: Petri Laura , Poulain Tanja , Vogel Mandy , Meigen Christof , Kiess Wieland , Hiemisch Andreas
Published: February 2024

Objectives

The current study aimed to examine the potential transgenerational associations between maternal pain and depressiveness and childhood pain, and to explore the associations between the children's difficulties and recurrent pain (defined as pain occurring at least once a month in the previous 6 month) in healthy children aged 3–13 years.

Methods

We collected Data between 2015 and 2019 as part of the LIFE Child study in Germany and investigated associations of maternal pain and depressiveness, child age, sex, pubertal stage, emotional difficulties, conduct difficulties, hyperactivity/inattention, peer group difficulties, and prosocial skills, and family socioeconomic status with the frequency of parent-perceived headache, backache, and stomachache in a sample of 1,850 children (4,819 documented visits) using logistic and ordinal regression analyses.

Results

Overall, 10.4%, 24.4%, and 45.2% of parents reported their children had recurrent backache, headache, and stomachache, respectively, with 5.5% of children were reported to experience all three types of pain simultaneously. Higher age, female sex, puberty, emotional difficulties, low family socioeconomic status, as well as higher maternal impairment due to pain and maternal depressiveness were significantly associated with more frequent pain.

Conclusions

Our study suggests that maternal pain, maternal depressiveness, and lower family socioeconomic status as well as child's emotional difficulties are significantly associated with a higher frequency of recurrent pain in children perceived by their parents.
Airway opening pressure maneuver to detect airway closure in mechanically ventilated pediatric patients
Authors: Rodriguez Guerineau Luciana , Vieira Fernando , Rodrigues Antenor , Reise Katherine , Todd Mark , Guerguerian Anne-Marie , Brochard Laurent
Published: February 2024

Background

Airway closure, which refers to the complete collapse of the airway, has been described under mechanical ventilation during anesthesia and more recently in adult patients with acute respiratory distress syndrome (ARDS). A ventilator maneuver can be used to identify airway closure and measure the pressure required for the airway to reopen, known as the airway opening pressure (AOP). Without that maneuver, AOP is unknown to clinicians.

Objective

This study aims to demonstrate the technical adaptation of the adult maneuver for children and illustrate its application in two cases of pediatric ARDS (p-ARDS).

Methods

A bench study was performed to adapt the maneuver for 3–50 kg patients. Four maneuvers were performed for each simulated patient, with 1, 2, 3, and 4 s of insufflation time to deliver a tidal volume (Vt) of 6 ml/kg by a continuous flow.

Results

Airway closure was simulated, and AOP was visible at 15 cmH2O with a clear inflection point, except for the 3 kg simulated patient. Regarding insufflation time, a 4 s maneuver exhibited a better performance in 30 and 50 kg simulated patients since shorter insufflation times had excessive flowrates (>10 L/min). Below 20 kg, the difference in resistive pressure between a 3 s and a 4 sec maneuver was negligible; therefore, prolonging the maneuver beyond 3 s was not useful. Airway closure was identified in two p-ARDS patients, with the pediatric maneuver being employed in the 28 kg patient.

Conclusions

We propose a pediatric AOP maneuver delivering 6 ml/kg of Vt at a continuous low-flow inflation for 3 s for patients weighing up to 20 kg and for 4 s for patients weighing beyond 20 kg.
The underestimated role of plant root nitric oxide emission under low-oxygen stress
Authors: Welle Marcel , Niether Wiebke , Stöhr Christine
Published: February 2024

The biotic release of nitric oxide (NO), a greenhouse gas, into the atmosphere contributes to climate change. In plants, NO plays a significant role in metabolic and signaling processes. However, little attention has been paid to the plant-borne portion of global NO emissions. Owing to the growing significance of global flooding events caused by climate change, the extent of plant NO emissions has been assessed under low-oxygen conditions for the roots of intact plants. Each examined plant species (tomato, tobacco, and barley) exhibited NO emissions in a highly oxygen-dependent manner. The transfer of data obtained under laboratory conditions to the global area of farmland was used to estimate possible plant NO contribution to greenhouse gas budgets. Plant-derived and stress-induced NO emissions were estimated to account for the equivalent of 1 to 9% of global annual NO emissions from agricultural land. Because several stressors induce NO formation in plants, the actual impact may be even higher.
Attitudes and health behaviors of middle-aged and older adults with elevated tumor markers in China
Authors: Yu Renke , Xu Zhijie , Lu Yiting , Zhu Yue , Chen Liying
Published: February 2024

Objectives

To understand the attitudes and health behaviors of middle-aged and older adults in China after receiving elevated results of tumor markers (TMs) test in the annual health examinations (AHEs) and explore the influencing factors.

Methods

A three-section online questionnaire survey was conducted from March 1 to April 30, 2020 in Hangzhou, China, to people who were aged 45 and older and had at least one elevated result of TMs test. Clinical information was collected from the online survey and medical records. Descriptive statistics were carried out followed by regression analyses.

Results

Of 380 participants, 76.1% were unwilling to quit the TMs test in AHEs, whereas 75.3% would take the doctor’s advice and quit unnecessary TMs test; 67.4% felt stressed about their TMs. Among participants with elevated TMs, 76.8% changed lifestyle to keep healthy, 74.2% sought health information, 58.9% requested a TMs retest, and 50.3% did further tests to confirm a diagnosis. Family history of cancer was associated with lifestyle changing; education level, area of residence and health insurance were associated with health information seeking; comorbidity were associated with retests and sequential confirming tests.

Conclusion

The application of the TMs test in AHEs among Chinese people may lead to positive and negative behavioral consequences and psychological distress. Doctors have a significant impact on patients’ health behaviors. Accurate indications and adequate communication with patients before and after the TMs test are in great need.
People who living with HIV/AIDS also have a high prevalence of anxiety disorders: a systematic review and meta-analysis
Authors: Ji Jiahao , Zhang Yang , Ma Yundong , Jia Lin , Cai Miaotian , Li Zhen , Zhang Tong , Guo Caiping
Published: February 2024

Background

An estimated 301 million people worldwide suffer from anxiety disorders. People living with HIV/AIDS (PLWHA) are particularly prone to anxiety disorders that could interfere with the important developmental process in an individual’s development and ultimately result in a wide range of negative mental, physical, and psychosocial consequences, as well as poor quality of life in those population groups. Early intervention for anxiety disorders can reverse some of the physical damage caused by anxiety. However, based on systematic reviews and meta-analyses, the specific prevalence of anxiety disorders in PLWHA remains unknown.

Method

We conducted a literature search on PubMed, Embase, and Web of Science up to 22 October 2022. A random-effects meta-analysis was used to pool prevalence rates from the included studies. Sensitivity and subgroup analyses were performed to identify the possible sources of heterogeneity and to compare the prevalence estimates across groups. The Joanna Briggs Institute’s Quality Assessment Checklist was used to assess the quality of the included studies. Cochran’s Q and I2 tests were used to assess the between-study heterogeneity.

Results

Ten studies with a total of 238,570 cases were included for the final analysis. Results showed that 15.5% of HIV/AIDS patients had anxiety disorders. The prevalence was higher in females (20.8%) than males (20.7%). The mean age of PLWHA with anxiety disorders was 46.58 ± 11.15 years in these included studies. The subgroup analyses showed significant higher prevalence in non-heterosexual (32.1%).

Conclusion

We attempted to quantify literature that could allow for stronger inferences to be made regarding the significantly higher prevalence of anxiety disorders in PLWHA, a finding that suggests the imperativeness of intervention strategies to alleviate suffering and reduce the probable negative ramifications.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023442219, identifier CRD42023442219.
Cannabis and children: risk mitigation strategies for edibles
Authors: Conerney Cathy , Steinmetz Fabian , Wakefield James , Loveridge Sam
Published: February 2024

In the era of (re)legalisation of medicinal and recreational cannabis, accidental and intentional exposure to edibles, cannabis-infused food products, has increased substantially. However, there is particular concern regarding younger age groups. Most concerning is the increase in hospitalisations. According to a study by Myran et al. (1), provinces in Canada, where the sale of edibles is permitted, saw an increase in paediatric poisonings due to unintentional consumption of edibles. Similar trends have been observed in “legalised states” in the US, such as Colorado (2). The impact of using cannabis at an early age, but particularly the impact of accidental exposure to high THC quantities, may have negative mental or physical health outcomes. Whilst regulatory restrictions vary significantly from one legalised region to another, it is difficult to identify a best practice. The aim of this study is to identify and discuss new and existing risk mitigation strategies to give guidance to policymakers. Furthermore, practical aspects, such as compliance (e.g. audits by authorities), are discussed. It is noted that edibles have been around much longer than recent political attempts to regulate them.
Older adults’ perceptions of online physical exercise management
Authors: Peterlin Judita , Dimovski Vlado , Colnar Simon , Blažica Bojan , Kejžar Anamarija
Published: February 2024

The study addresses the challenges of digitally transforming physical exercises for older adults (aged more than 55 years) to be performed in virtual environments (during the COVID-19 pandemic) as a long-term proactive strategic initiative in response to the global ageing society and technological development trend. A focus group with a sample of 24 older adults and three trainers were used as part of a 3-month physical exercise pilot conducted by the Jožef Stefan Institute to identify the skills and well-being gained and identify factors that influence success with online exercises for older adults on the individual and organisational levels. First, on the individual level, communication differences were identified when comparing face-to-face exercises with online exercises. Second, on the organisational level, the study identified several challenges arising from the digital transformation of exercises (i.e., onboarding, technical, structural, isolation and motivational). Finally, recommendations are proposed to transform older adults’ exercises when performed in a virtual environment. The study results can also benefit health management practices and theory in the work environment to ensure that older workers can still utilise their strengths to perform successfully while remaining healthy. Online physical exercises tailored to older adults’ needs and specifications could be provided as part of corporate wellness programmes in organisations.
In-situ ionized construction of PVDF/sodium polyacrylate-grafted-PVDF blend ultrafiltration membrane with stable anti-oil-fouling ability for efficient oil-in-water emulsion separation
Authors: Gao Shoujian , Liu Pingping , Jin Jian
Published: February 2024

Traditional polymeric membranes usually suffer from serious oil fouling and quick decline of water flux when separating oil-in-water emulsions. In this work, we report the fabrication of the sodium polyacrylate (PAAS) blended polyvinylidene fluoride (PVDF) ultrafiltration membrane which behaves hydrophilicity, underwater low-oil-adhesive superoleophobicity and outstanding anti-oil-fouling ability even for viscous crude oil. The blend membrane was fabricated via a two-step method, including the nonsolvent-induced phase inversion of PVDF/polyacrylic acid-grafted-PVDF (PVDF/PAA-g-PVDF) blend membrane and the subsequent in-situ ionization of PAA into PAAS. The two-step method improves the affinity between the strong hydrophilic additive PAAS and the hydrophobic polymer matrix PVDF, thus endowing the blend membrane with long-term stable superwetting property for 1,100 days. The PVDF/PAAS-g-PVDF blend membrane can efficiently separate multiple emulsifier-stabilized oil-in-water emulsions with ultrahigh separation efficiency of 99.97% (the residual oil content in the filtrate is lower than 3 ppm after one-step separation) and high water flux of 350 L m-2 h-1 bar-1. The blend membrane also shows good cycling performance, and can be easily cleaned by water washing during several separation cycles of the crude oil-in-water emulsion. This work inspires a feasible route of fabricating stable anti-oil-fouling membranes for separation of emulsified oily water.
Active learning strategies for robotic tactile texture recognition tasks
Authors: Das Shemonto , Prado da Fonseca Vinicius , Soares Amilcar
Published: February 2024

Accurate texture classification empowers robots to improve their perception and comprehension of the environment, enabling informed decision-making and appropriate responses to diverse materials and surfaces. Still, there are challenges for texture classification regarding the vast amount of time series data generated from robots’ sensors. For instance, robots are anticipated to leverage human feedback during interactions with the environment, particularly in cases of misclassification or uncertainty. With the diversity of objects and textures in daily activities, Active Learning (AL) can be employed to minimize the number of samples the robot needs to request from humans, streamlining the learning process. In the present work, we use AL to select the most informative samples for annotation, thus reducing the human labeling effort required to achieve high performance for classifying textures. We also use a sliding window strategy for extracting features from the sensor’s time series used in our experiments. Our multi-class dataset (e.g., 12 textures) challenges traditional AL strategies since standard techniques cannot control the number of instances per class selected to be labeled. Therefore, we propose a novel class-balancing instance selection algorithm that we integrate with standard AL strategies. Moreover, we evaluate the effect of sliding windows of two-time intervals (3 and 6 s) on our AL Strategies. Finally, we analyze in our experiments the performance of AL strategies, with and without the balancing algorithm, regarding f1-score, and positive effects are observed in terms of performance when using our proposed data pipeline. Our results show that the training data can be reduced to 70% using an AL strategy regardless of the machine learning model and reach, and in many cases, surpass a baseline performance. Finally, exploring the textures with a 6-s window achieves the best performance, and using either Extra Trees produces an average f1-score of 90.21% in the texture classification data set.
Gonad pathology, sex hormone modulation and vitellogenin expression in Chrysichthys nigrodigitatus from Lagos and Epe lagoons within the southern-lagoon system, Nigeria
Authors: Akangbe Olusola A. , Chukwuka Azubuike V. , Imiuwa Maurice E. , Adeogun Aina O.
Published: February 2024

Introduction: Estrogenic chemicals in aquatic environments impact fish reproductive health, with vitellogenin protein levels serving as a crucial biomarker for xenoestrogen exposure. Limited knowledge exists on estrogenic effects in tropical environments, prompting an investigation into the influence of environmental estrogens on Chrysichthys nigrodigitatus in Lagos and Epe lagoons.

Methods: A total of 195 fish samples underwent analysis for vitellogenin protein, sex hormones (testosterone and 17 β-estradiol), and gonad pathology in effluent-receiving areas of the specified lagoons.

Results: Gonadal alterations were observed in male and female fish, including empty seminiferous tubules and distorted ovaries. Intersex occurred in 3.81% of Lagos and 3.33% of Epe. Testosterone levels were generally higher in females and males from both lagoons, while E2 levels were higher in females from both lagoons, with Lagos showing higher levels than Epe. Vtg levels were higher in males than females in Lagos samples but showed no significant difference in Epe samples.

Discussion: Contaminant analysis revealed similar trends in metals (Hg, As, Cr) and phthalates (DEHP, DBP, DEP) in both sexes in the Epe population. Multivariate depictions from the PCA showed sex-specific patterns of metal uptake (Cd) in male fishes at the Lagos Lagoon. The positive association between higher pH loadings and metal and DBP levels in sediment at the Lagos lagoon suggests the influence of higher alkalinity in lower bioavailability of contaminants.

Conclusion: Endocrine disrupting effects were observed in male and female Chrysichthys nigrodigitatus in Lagos and Epe lagoons populations, with notable differences in hormone and contaminant concentrations between the two lagoon systems. Identification of specific contaminants and their spatial and temporal trends can inform targeted management and remediation efforts to protect and restore these valuable aquatic ecosystems.