bluuebunny/crossref_metadata_2025_split huggingface dataset:
Acute toxicity of the fungicide captan to honey bees and mixed evidence for synergism with the insecticide thiamethoxam
Authors: De Souza Daiana , Urbanowicz Christine , Ng Wee Hao , Baert Nicolas , Fersch Ashley A. , Smith Michael L. , McArt Scott H. 
Published: July 2024

AbstractHoney bees are commonly co-exposed to pesticides during crop pollination, including the fungicide captan and neonicotinoid insecticide thiamethoxam. We assessed the impact of exposure to these two pesticides individually and in combination, at a range of field-realistic doses. In laboratory assays, mortality of larvae treated with captan was 80–90% greater than controls, dose-independent, and similar to mortality from the lowest dose of thiamethoxam. There was evidence of synergism (i.e., a non-additive response) from captan-thiamethoxam co-exposure at the highest dose of thiamethoxam, but not at lower doses. In the field, we exposed whole colonies to the lowest doses used in the laboratory. Exposure to captan and thiamethoxam individually and in combination resulted in minimal impacts on population growth or colony mortality, and there was no evidence of synergism or antagonism. These results suggest captan and thiamethoxam are each acutely toxic to immature honey bees, but whole colonies can potentially compensate for detrimental effects, at least at the low doses used in our field trial, or that methodological differences of the field experiment impacted results (e.g., dilution of treatments with natural pollen). If compensation occurred, further work is needed to assess how it occurred, potentially via increased queen egg laying, and whether short-term compensation leads to long-term costs. Further work is also needed for other crop pollinators that lack the social detoxification capabilities of honey bee colonies and may be less resilient to pesticides.
A dynamic attribute reduction algorithm based on relative neighborhood discernibility degree
Authors: Feng Weibing , Sun Tiantian 
Published: July 2024

AbstractThis paper addresses the current existence of attribute reduction algorithms for incomplete hybrid decision-making systems, including low attribute reduction efficiency, low classification accuracy and lack of consideration of unlabeled data types. To address these issues, this paper first redefines the weakly labeled relative neighborhood discernibility degree and develops a non-dynamic attribute reduction algorithm. In addition, this paper proposes an incremental update mechanism for weakly tagged relative neighborhood discernibility degree and introduces a new dynamic attribute reduction algorithm for increasing the set of objects based on it. Meanwhile, this paper also compares and analyses the improved algorithm proposed in this study with two existing attribute reduction algorithms using 8 data sets in the UCI database. The results show that the dynamic attribute reduction algorithm proposed in this paper achieves higher attribute reduction efficiency and classification accuracy, which further validates the effectiveness of the algorithm proposed in this paper.
Enhancing brain tumor segmentation in MRI images using the IC-net algorithm framework
Authors: D S Chandra Sekaran , Christopher Clement J. 
Published: July 2024

AbstractBrain tumors, often referred to as intracranial tumors, are abnormal tissue masses that arise from rapidly multiplying cells. During medical imaging, it is essential to separate brain tumors from healthy tissue. The goal of this paper is to improve the accuracy of separating tumorous regions from healthy tissues in medical imaging, specifically for brain tumors in MRI images which is difficult in the field of medical image analysis. In our research work, we propose IC-Net (Inverted-C), a novel semantic segmentation architecture that combines elements from various models to provide effective and precise results. The architecture includes Multi-Attention (MA) blocks, Feature Concatenation Networks (FCN), Attention-blocks which performs crucial tasks in improving brain tumor segmentation. MA-block aggregates multi-attention features to adapt to different tumor sizes and shapes. Attention-block is focusing on key regions, resulting in more effective segmentation in complex images. FCN-block captures diverse features, making the model more robust to various characteristics of brain tumor images. Our proposed architecture is used to accelerate the training process and also to address the challenges posed by the diverse nature of brain tumor images, ultimately leads to potentially improved segmentation performance. IC-Net significantly outperforms the typical U-Net architecture and other contemporary effective segmentation techniques. On the BraTS 2020 dataset, our IC-Net design obtained notable outcomes in Accuracy, Loss, Specificity, Sensitivity as 99.65, 0.0159, 99.44, 99.86 and DSC (core, whole, and enhancing tumors as 0.998717, 0.888930, 0.866183) respectively.
In vivo and in vitro efficacy of the ithmid kohl/zinc-oxide nanoparticles, ithmid kohl/Aloe vera, and zinc-oxide nanoparticles/Aloe vera for the treatment of bacterial endophthalmitis
Authors: Obaid Hasson Shaimaa , Kamil Hasan Hasanain , Abdul Kadhem Salman Sumod , Judi Hawraa K. , Akrami Sousan , Saki Morteza , Adil Hasan Maryam , Fares Hashem Durah 
Published: July 2024

AbstractThe aim of this study was to investigate the efficacy of the ithmid kohl/zinc-oxide nanoparticles (ZnONPs), ithmid kohl/Aloe vera, and ZnONPs/Aloe verain the treatment of bacterial endophthalmitis. The endophthalmitis model was prepared by contaminating both eyes of 24 healthy adult male albino rabbits with a clinical isolate ofKlebsiella pneumoniae. The animals were randomly divided into eight groups (A-H) according to the treatment. Group A received 1 ml of ithmid kohl/ZnONPs ointment, group B received 1 ml of ithmid kohl/Aloe veragel ointment, group C received 1 ml of ZnONPs/Aloe veragel ointment, and groups D, E, and F were treated with 1 ml of ithmid kohl solution (0.5 g/ml in distilled water), 1 ml of ZnONPs (0.5 g/ml) colloidal dispersion, and 1 ml ofAloe veragel, respectively. Group G received 100 μl of a tetracycline antibiotic solution (final concentration: 16 µg/ml), and group H received sterile distilled water (no treatment). In vitro antibacterial activity was evaluated againstK. pneumoniaeusing the agar well diffusion. The combination of ithmid kohl/ZnONPs was the most effective formulation for treating endophthalmitis model in infected rabbits within 2 days. In vitro antibacterial assay confirmed the potential of the ithmid kohl/ZnONPs formulation, which had the largest zone of inhibition (31 mm) among the compounds tested. The preparation of the ithmid kohl/ZnONPs formulation and its in vivo experiment in albino rabbits for the treatment of bacterial endophthalmitis was an innovative approach that has shown promise and may potentially serve as a viable alternative in clinical practice.
Variational approach for Stokes flow through a two-dimensional non-uniform channel
Authors: Banerjee Abhishek , Oron Alexander , Agnon Yehuda 
Published: July 2024

AbstractA variational approach is proposed to study the Stokes flow in a two-dimensional non-uniform channel. By using the stationarity of the Lagrangian, the Euler-Lagrange equations are established which leads to a simple set of ordinary differential equations to provide an estimate for the average pressure drop explicitly in terms of the channel shape function. The results for the pressure drop show an excellent agreement with the second-order extended lubrication theory. A higher-order formulation further improves the accuracy of the results for the pressure drop along the channel.
Hygroscopic Mg–Al LDHs composite microspheres for highly efficient hyperspectral camouflage in the VIS and NIR wavebands
Authors: Xie Zixun , Yuan Le , Qing Xiaolong , Wang Yaqing , Wu Xiaoyan , Weng Xiaolong 
Published: July 2024

AbstractIn order to enhance the hyperspectral camouflage efficacy of stealth coatings against a natural vegetative backdrop, LiCl, known for its significant hygroscopic properties, was incorporated into green Mg–Al layered double hydroxide (Mg–Al LDHs) material. Micron-sized composite microspheres were subsequently synthesized via the spray-drying granulation technique. The structure, morphology, and chemical composition of these microspheres were thoroughly characterized by X-ray diffraction, scanning electron microscopy, laser particle size analysis, nitrogen adsorption–desorption isotherms, and Fourier-transform infrared spectroscopy. The effect of LiCl content on the moisture absorption capacity and near-infrared reflectance spectra of the microspheres was systematically evaluated. We found that incorporating an optimal amount of LiCl into the internal pores of the Mg–Al LDHs microspheres did not compromise their smooth surface morphology and uniform particulate distribution. Notably, when the LiCl content was 10%, the maximum saturation moisture uptake ratio of the coating increased to 0.75 g/g. This hygroscopicity significantly enhanced the absorption and scattering of near-infrared radiation by the coating while concurrently improving its ability to modulate the shape and reflectance of both the visible and near-infrared spectral curves. Spectral congruence between the synthetic coating and natural green foliage was quantified at 97.41%. Moreover, this performance was maintained over 10 cycles of programmed drying and re-humidification, and the coating consistently demonstrated stable hygroscopic properties and sustained over 95% spectral congruence. These optimized artificial coatings were found to effectively confuse hyperspectral classification algorithms, thus blending seamlessly into a natural foliage backdrop. This study provides a new method for regulating VIS and NIR spectral (visible–near infrared spectrum) features, which will be critical for applications in advanced hyperspectral camouflage materials.
Association between exposure to smoke from cooking fuels and anaemia among women of reproductive age in Ghana
Authors: Adarkwa Samuel Akwasi , Oduro Michael Safo , Morgan Anthony Kwame , Arhin-Donkor Seth 
Published: July 2024

AbstractIn low- and middle-income countries, indoor air pollution (IAP) is a serious public health concern, especially for women and children who cook with solid fuels. IAP exposure has been linked to a number of medical conditions, including pneumonia, ischemic heart disease, stroke, chronic obstructive pulmonary disease (COPD), lung cancer, and anaemia. Around 500 million women of reproductive age (WRA) suffer from anaemia globally, with an estimated 190 million cases in sub-Saharan Africa (SSA). This study, which is based on prior research, investigates the relationship between IAP exposure and anaemia among WRA in Ghana. A diverse sample of 2,406 WRA living in Ghana were interviewed, of which 58.06% were anaemic and used high-pollutant fuels for cooking. Age, place of residence, region, education level, religion, ethnicity, wealth index, type of drinking water, type of toilet facility, and type of cooking fuels were all found to be significantly linked with anaemic state by bivariate analysis. Type of cooking fuels utilized, age, region of residence, and the type of residence were shown to be significant predictors of anaemia status using sequential binary logit regression models. The results emphasise the critical need for efforts to promote the usage of clean cooking fuel in an attempt to lower anaemia prevalence in Ghana. To reduce dependency on solid fuels for cooking, initiatives should promote the use of cleaner cooking fuels and enhance the socioeconomic status of households. These interventions could have significant public health effects by reducing the burden of anaemia and improving maternal and child health outcomes due to the prevalence of anaemia among WRA. Overall, this study sheds light on the relationship between IAP exposure and anaemia in Ghana and highlights the demand for focused public health initiatives to address this serious health problem.
A retrospective observational study evaluating the association between vasoactive–inotropic score and mortality after major abdominal surgery
Authors: Huang Jiao , Ji Jiemei , Zhao Yang , Liu Jingchen 
Published: July 2024

AbstractThe relationship between VISmax and mortality in patients undergoing major abdominal surgery remains unclear. This study aims to evaluate the association between VISmax and both short-term and long-term all-cause mortality in patients undergoing major abdominal surgery, VISmax was calculated (VISmax = dopamine dose [µg/kg/min] + dobutamine dose [µg/kg/min] + 100 × epinephrine dose [µg/kg/min] + 10 × milrinone dose [µg/kg/min] + 10,000 × vasopressin dose [units/kg/min] + 100 × norepinephrine dose [µg/kg/min]) using the maximum dosing rates of vasoactives and inotropics within the first 24 h postoperative ICU admission. The study included 512 patients first admitted to the intensive care unit (ICU) who were administered vasoactive drugs after major abdominal surgery. The data was extracted from the medical information mart in intensive care-IV database. VISmax was stratified into five categories: 0–5, > 5–15, > 15–30, > 30–45, and > 45. Compared to patients with the lowest VISmax (≤ 5), those with the high VISmax (> 45) had an increased risk of 30-day mortality (hazard ratio [HR] 3.73, 95% CI 1.16–12.02; P = 0.03) and 1-year mortality (HR 2.76, 95% CI 1.09–6.95; P = 0.03) in fully adjusted Cox models. The ROC analysis for VISmax predicting 30-day and 1-year mortality yielded AUC values of 0.69 (95% CI 0.64–0.75) and 0.67 (95% CI 0.62–0.72), respectively. In conclusion, elevated VISmax within the first postoperative 24 h after ICU admission was associated with increased risks of both short-term and long-term mortality in patients undergoing major abdominal surgery.
Exploring the Loss Aversion Scale’s psychometric properties in Spain
Authors: Cabedo-Peris Javier , Merino-Soto César , Chans Guillermo M. , Martí-Vilar Manuel 
Published: July 2024

AbstractLoss aversion is a psychological construct defined as a tendency to value potential losses more than gains in a situation that requires decision-making. The Loss Aversion Scale (LAS, eight items) measures an individual’s loss aversion to various situations. However, the generalization of its psychometric properties to different population groups is unknown. This study aimed to validate the LAS instrument for use among Spanish university adults. To this end, two studies were conducted: a content validity study calculating the substantive validity (N = 24) of the instrument’s translation from original English to Spanish and a study of internal structure and association (N = 766) among Spanish university men and women aged 18–35. The analyses performed for each sample indicated that the instrument had adequate validity and reliability values as a one-dimensional measure; however, items 5 and 8 had to be removed. Their scores indicated moderate-magnitude correlations with social desirability. This article debates the study’s limitations, practical implications, and future lines of research based on the results. The conclusion is that the Loss Aversion Scale instrument suits general Spanish population samples and requires probable methodological control concerning social desirability.
Association of platelet to high-density lipoprotein cholesterol ratio with hyperuricemia
Authors: Yan Laisha , Hu Xiaoyan , Wu Shanshan , Zhao Shunying 
Published: July 2024

AbstractThe platelet/high-density lipoprotein ratio (PHR) has been identified as a significant indicator of inflammation and a hypercoagulable state, demonstrating a strong link with the severity of nonalcoholic fatty liver disease (NAFLD) and metabolic syndrome (MetS). However, its correlation with hyperuricemia has not yet been documented. This study utilized a cross-sectional design, analyzing data collected from the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2016 in the United States. The platelet/high-density lipoprotein ratio (PHR) was determined by dividing the number of platelets (PLT) by the level of high-density lipoprotein cholesterol (HDL-C). We employed multivariable logistic regression analyses, generalized additive models, and subgroup analyses to investigate the correlation between PHR and hyperuricemia. The study revealed a hyperuricemia prevalence of 18.56%. Analysis indicated a significant positive correlation between PHR and the risk of hyperuricemia (OR 1.11, 95% CI 1.08, 1.14). This correlation remained consistent across different subgroups including age, ethnicity, gender, and body mass index (BMI). Smooth curve fitting demonstrated a saturation effect between PHR and the risk of hyperuricemia. PHR is positively correlated with hyperuricemia and may serve as a novel biomarker for predicting the onset of this condition. Additionally, targeted interventions to improve PHR might help reduce the incidence of hyperuricemia.
Work autonomy and its associated factors among health professionals in public hospitals of North East Ethiopia
Authors: Yimer Ali , Zewdie Amare , Feleke Amsalu , Dellie Endalkachew , Ahmed Mohammed , Seid Seada , Debebe Wubshet , Ahmed Hassen , Korma Wolyu , Adem Mohammed , Kebede Abdulaziz 
Published: July 2024

AbstractA low level of work autonomy is the bottleneck for the health service delivery and the quality of the service. Although work autonomy is the pillar of organizational commitment and a means of employee retention mechanism, information about the magnitude of work autonomy among health professionals is limited in Ethiopia. Therefore, this study aimed to assess work autonomy and its predictors among health professionals working in public hospitals of Northeast Ethiopia. Institution-based cross-sectional study was conducted from March 24 to April 24, 2021, among health professionals using a stratified sampling technique. Variables with a p-value of < 0.25 in bivariable analysis were included in the multivariable analysis and variables with a p-value of < 0.05 in multivariable analysis were regarded as significantly associated factors. The overall good work autonomy in public hospitals (Dessie and Boru Meda Hospital) of North East Ethiopia was 54.5% (95% CI 54.48–54.53). Satisfaction with organizational policy and strategy (AOR 2.34, 95% CI 1.29–4.25), satisfaction with supervisor support (AOR 7.20, 95% CI 3.97–13.07), good health service delivery planning practice (AOR 1.88, 95%CI: 1.13–3.13), being married (AOR 4.26, 95%CI: 2.06–8.82) being pharmacy professionals (AOR 0.44, 95% CI 0.19–0.98), and being anesthesia and radiology professionals (AOR 4.66, 95% CI 1.65–13.19) were significantly associated with work autonomy of health professionals. More than half of the health professionals working in public hospitals in Northeast Ethiopia are autonomous in their work. Satisfaction with organizational policy and strategy, satisfaction with supervisor support, having good health service delivery planning practice, being married, and type of profession were significantly associated factors in public hospitals. Thus, strengthening strategies aimed at shaping poor health service delivery planning practices and dissatisfaction of employees concerning supervisor support and organizational policy might have a substantial contribution to improving the work autonomy of health professionals.
Neural activity during inhibitory control predicts suicidal ideation with machine learning
Authors: Nan Jason , Grennan Gillian , Ravichandran Soumya , Ramanathan Dhakshin , Mishra Jyoti 
Published: July 2024

AbstractSuicide is a leading cause of death in the US and worldwide. Current strategies for preventing suicide are often focused on the identification and treatment of risk factors, especially suicidal ideation (SI). Hence, developing data-driven biomarkers of SI may be key for suicide prevention and intervention. Prior attempts at biomarker-based prediction models for SI have primarily used expensive neuroimaging technologies, yet clinically scalable and affordable biomarkers remain elusive. Here, we investigated the classification of SI using machine learning (ML) on a dataset of 76 subjects with and without SI(+/−) (n = 38 each), who completed a neuro-cognitive assessment session synchronized with electroencephalography (EEG). SI+/− groups were matched for age, sex, and mental health symptoms of depression and anxiety. EEG was recorded at rest and while subjects engaged in four cognitive tasks of inhibitory control, interference processing, working memory, and emotion bias. We parsed EEG signals in physiologically relevant theta (4-8 Hz), alpha (8–13 Hz), and beta (13–30 Hz) frequencies and performed cortical source imaging on the neural signals. These data served as SI predictors in ML models. The best ML model was obtained for beta band power during the inhibitory control (IC) task, demonstrating high sensitivity (89%), specificity (98%). Shapley explainer plots further showed top neural predictors as feedback-related power in the visual and posterior default mode networks and response-related power in the ventral attention, fronto-parietal, and sensory-motor networks. We further tested the external validity of the model in an independent clinically depressed sample (n = 35, 12 SI+) that engaged in an adaptive test version of the IC task, demonstrating 50% sensitivity and 61% specificity in this sample. Overall, the study suggests a promising, scalable EEG-based biomarker approach to predict SI that may serve as a target for risk identification and intervention.
The tyrosine phosphatases LAR and PTPRδ act as receptors of the nidogen-tetanus toxin complex
Authors: Surana Sunaina , Villarroel-Campos David , Rhymes Elena R , Kalyukina Maria , Panzi Chiara , Novoselov Sergey S , Fabris Federico , Richter Sandy , Pirazzini Marco , Zanotti Giuseppe , Sleigh James N , Schiavo Giampietro 
Published: July 2024

AbstractTetanus neurotoxin (TeNT) causes spastic paralysis by inhibiting neurotransmission in spinal inhibitory interneurons. TeNT binds to the neuromuscular junction, leading to its internalisation into motor neurons and subsequent transcytosis into interneurons. While the extracellular matrix proteins nidogens are essential for TeNT binding, the molecular composition of its receptor complex remains unclear. Here, we show that the receptor-type protein tyrosine phosphatases LAR and PTPRδ interact with the nidogen-TeNT complex, enabling its neuronal uptake. Binding of LAR and PTPRδ to the toxin complex is mediated by their immunoglobulin and fibronectin III domains, which we harnessed to inhibit TeNT entry into motor neurons and protect mice from TeNT-induced paralysis. This function of LAR is independent of its role in regulating TrkB receptor activity, which augments axonal transport of TeNT. These findings reveal a multi-subunit receptor complex for TeNT and demonstrate a novel trafficking route for extracellular matrix proteins. Our study offers potential new avenues for developing therapeutics to prevent tetanus and dissecting the mechanisms controlling the targeting of physiological ligands to long-distance axonal transport in the nervous system.