bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combined small-molecule treatment accelerates maturation of human pluripotent stem cell-derived neurons
Authors: Hergenreder Emiliano , Minotti Andrew P. , Zorina Yana , Oberst Polina , Zhao Zeping , Munguba Hermany , Calder Elizabeth L. , Baggiolini Arianna , Walsh Ryan M. , Liston Conor , Levitz Joshua , Garippa Ralph , Chen Shuibing , Ciceri Gabriele , Studer Lorenz 
Published: January 2024

AbstractThe maturation of human pluripotent stem cell (hPSC)-derived neurons mimics the protracted timing of human brain development, extending over months to years for reaching adult-like function. Prolonged in vitro maturation presents a major challenge to stem cell-based applications in modeling and treating neurological disease. Therefore, we designed a high-content imaging assay based on morphological and functional readouts in hPSC-derived cortical neurons which identified multiple compounds that drive neuronal maturation including inhibitors of lysine-specific demethylase 1 and disruptor of telomerase-like 1 and activators of calcium-dependent transcription. A cocktail of four factors, GSK2879552, EPZ-5676, N-methyl-d-aspartate and Bay K 8644, collectively termed GENtoniK, triggered maturation across all parameters tested, including synaptic density, electrophysiology and transcriptomics. Maturation effects were further validated in cortical organoids, spinal motoneurons and non-neural lineages including melanocytes and pancreatic β-cells. The effects on maturation observed across a broad range of hPSC-derived cell types indicate that some of the mechanisms controlling the timing of human maturation might be shared across lineages.
Discovery of sparse, reliable omic biomarkers with Stabl
Authors: Hédou Julien , Marić Ivana , Bellan Grégoire , Einhaus Jakob , Gaudillière Dyani K. , Ladant Francois-Xavier , Verdonk Franck , Stelzer Ina A. , Feyaerts Dorien , Tsai Amy S. , Ganio Edward A. , Sabayev Maximilian , Gillard Joshua , Amar Jonas , Cambriel Amelie , Oskotsky Tomiko T. , Roldan Alennie , Golob Jonathan L. , Sirota Marina , Bonham Thomas A. , Sato Masaki , Diop Maïgane , Durand Xavier , Angst Martin S. , Stevenson David K. , Aghaeepour Nima , Montanari Andrea , Gaudillière Brice 
Published: January 2024

AbstractAdoption of high-content omic technologies in clinical studies, coupled with computational methods, has yielded an abundance of candidate biomarkers. However, translating such findings into bona fide clinical biomarkers remains challenging. To facilitate this process, we introduce Stabl, a general machine learning method that identifies a sparse, reliable set of biomarkers by integrating noise injection and a data-driven signal-to-noise threshold into multivariable predictive modeling. Evaluation of Stabl on synthetic datasets and five independent clinical studies demonstrates improved biomarker sparsity and reliability compared to commonly used sparsity-promoting regularization methods while maintaining predictive performance; it distills datasets containing 1,400–35,000 features down to 4–34 candidate biomarkers. Stabl extends to multi-omic integration tasks, enabling biological interpretation of complex predictive models, as it hones in on a shortlist of proteomic, metabolomic and cytometric events predicting labor onset, microbial biomarkers of pre-term birth and a pre-operative immune signature of post-surgical infections. Stabl is available at https://github.com/gregbellan/Stabl.
Synaptic-like transmission between neural axons and arteriolar smooth muscle cells drives cerebral neurovascular coupling
Authors: Zhang Dongdong , Ruan Jiayu , Peng Shiyu , Li Jinze , Hu Xu , Zhang Yiyi , Zhang Tianrui , Ge Yaping , Zhu Zhu , Xiao Xian , Zhu Yunxu , Li Xuzhao , Li Tingbo , Zhou Lili , Gao Qingzhu , Zheng Guoxiao , Zhao Bingrui , Li Xiangqing , Zhu Yanming , Wu Jinsong , Li Wensheng , Zhao Jingwei , Ge Woo-ping , Xu Tian , Jia Jie-Min 
Published: January 2024

AbstractNeurovascular coupling (NVC) is important for brain function and its dysfunction underlies many neuropathologies. Although cell-type specificity has been implicated in NVC, how active neural information is conveyed to the targeted arterioles in the brain remains poorly understood. Here, using two-photon focal optogenetics in the mouse cerebral cortex, we demonstrate that single glutamatergic axons dilate their innervating arterioles via synaptic-like transmission between neural–arteriolar smooth muscle cell junctions (NsMJs). The presynaptic parental–daughter bouton makes dual innervations on postsynaptic dendrites and on arteriolar smooth muscle cells (aSMCs), which express many types of neuromediator receptors, including a low level of glutamate NMDA receptor subunit 1 (Grin1). Disruption of NsMJ transmission by aSMC-specific knockout of GluN1 diminished optogenetic and whisker stimulation-caused functional hyperemia. Notably, the absence of GluN1 subunit in aSMCs reduced brain atrophy following cerebral ischemia by preventing Ca2+ overload in aSMCs during arteriolar constriction caused by the ischemia-induced spreading depolarization. Our findings reveal that NsMJ transmission drives NVC and open up a new avenue for studying stroke.
A global dataset on phosphorus in agricultural soils
Authors: Ringeval Bruno , Demay Josephine , Goll Daniel S. , He Xianjin , Wang Ying-Ping , Hou Enqing , Matej Sarah , Erb Karl-Heinz , Wang Rong , Augusto Laurent , Lun Fei , Nesme Thomas , Borrelli Pasquale , Helfenstein Julian , McDowell Richard W. , Pletnyakov Peter , Pellerin Sylvain 
Published: January 2024

AbstractNumerous drivers such as farming practices, erosion, land-use change, and soil biogeochemical background, determine the global spatial distribution of phosphorus (P) in agricultural soils. Here, we revised an approach published earlier (called here GPASOIL-v0), in which several global datasets describing these drivers were combined with a process model for soil P dynamics to reconstruct the past and current distribution of P in cropland and grassland soils. The objective of the present update, called GPASOIL-v1, is to incorporate recent advances in process understanding about soil inorganic P dynamics, in datasets to describe the different drivers, and in regional soil P measurements for benchmarking. We trace the impact of the update on the reconstructed soil P. After the update we estimate a global averaged inorganic labile P of 187 kgP ha−1 for cropland and 91 kgP ha−1 for grassland in 2018 for the top 0–0.3 m soil layer, but these values are sensitive to the mineralization rates chosen for the organic P pools. Uncertainty in the driver estimates lead to coefficients of variation of 0.22 and 0.54 for cropland and grassland, respectively. This work makes the methods for simulating the agricultural soil P maps more transparent and reproducible than previous estimates, and increases the confidence in the new estimates, while the evaluation against regional dataset still suggests rooms for further improvement.
High-resolution ethograms, accelerometer recordings, and behavioral time series of Japanese quail
Authors: Simian Catalina , Rossi Florencia Belén , Marin Raul Hector , Barberis Lucas , Kembro Jackelyn Melissa 
Published: January 2024

AbstractAlthough many small vertebrates are capable of performing high-speed behaviors, most studies continue to focus on low-resolution temporal scales (>>1 s). Herein, we present video-recordings, behavior time series, and the computer software for video-analysis of Japanese quail within social groups. Home-boxes were monitored using both top and side video-cameras. High-resolution ethograms were developed for analyses. Pairs of females were assigned as either controls or using one of two methods for attachment of an accelerometer (patch or backpack). Behavior was recorded during 1 h on the first 2-days, sampled at 1 s intervals (days 1 and 2). On day 8, an unfamiliar male was placed in the home-box and its behavior was recorded during the first 10 min, sampled every 1/15 s. Male accelerometer recordings were also obtained. Video-recordings and resulting detailed high-resolution behavioral time series are valuable for reuse in comparative studies regarding the temporal dynamics of behavior within social environments. In addition, they are necessary for the assessment of novel machine learning algorithms that could be used for deciphering the output of accelerometer recordings.
Meteorological variability and predictive forecasting of atmospheric particulate pollution
Authors: Hong Wan Yun 
Published: January 2024

AbstractDue to increasingly documented health effects associated with airborne particulate matter (PM), challenges in forecasting and concern about their impact on climate change, extensive research has been conducted to improve understanding of their variability and accurately forecasting them. This study shows that atmospheric PM10 concentrations in Brunei-Muara district are influenced by meteorological conditions and they contribute to the warming of the Earth’s atmosphere. PM10 predictive forecasting models based on time and meteorological parameters are successfully developed, validated and tested for prediction by multiple linear regression (MLR), random forest (RF), extreme gradient boosting (XGBoost) and artificial neural network (ANN). Incorporation of the previous day’s PM10 concentration (PM10,t-1) into the models significantly improves the models’ predictive power by 57–92%. The MLR model with PM10,t-1 variable shows the greatest capability in capturing the seasonal variability of daily PM10 (RMSE = 1.549 μg/m3; R2 = 0.984). The next day’s PM10 can be forecasted more accurately by the RF model with PM10,t-1 variable (RMSE = 5.094 μg/m3; R2 = 0.822) while the next 2 and 3 days’ PM10 can be forecasted more accurately by ANN models with PM10,t-1 variable (RMSE = 5.107 μg/m3; R2 = 0.603 and RMSE = 6.657 μg/m3; R2 = 0.504, respectively).
Complement activation products in tears of dry eye and meibomian gland dysfunction
Authors: Maehara Hiroki , Norikawa Koki , Tanaka Keiichiro , Kato Yutaka , Kasai Akihito , Mukai Ryo , Omori Tomoko , Machida Takeshi , Sekine Hideharu , Sekiryu Tetsuju 
Published: January 2024

AbstractSixty-seven patients (38 woman; median age, 69 years) were enrolled to assess complement activation products (CAPs) in tear fluid with/without dry eye (DE) and with/without meibomian gland dysfunction (MGD). Patients were divided into four groups based on the presence/absence of DE and MGD: group DM had both DE and MGD, group DN had DE without MGD, group NM had MGD without DE, and group NN had neither DE nor MGD. The levels of C3a and C5a in the collected tears were analyzed using a cytometric bead array. The C3a concentrations in the DM, DN, NM, and NN groups were 2326 pg/ml, 1411 pg/ml, 1821 pg/ml, and 978 pg/ml, respectively. The C5a concentrations in the DM, DN, NM, and NN groups were 24.7 pg/ml, 15.3 pg/ml, 24.1 pg/ml, and 12.9 pg/ml, respectively. The concentrations of C3a and C5a in the DM and NM groups were significantly higher than in the NN group (P < 0.05 for both comparisons). The CAPs in the tear fluid in MGD and DE increased. Local dysregulation of the innate immune system can be associated with the development of MGD and DE in elderly patients.
Chemical and perfusion markers as predictors of moyamoya disease progression and complication types
Authors: Kim Jae Hyun , Jeon Hanwool , Kim Moinay , Byun Joonho , Chung Yeongu , Lee Si Un , Park Wonhyoung , Park Jung Cheol , Ahn Jae Sung , Lee Seungjoo 
Published: January 2024

AbstractTo investigate the association between chemical markers (triglyceride, C-reactive protein (CRP), and inflammation markers) and perfusion markers (relative cerebral vascular reserve (rCVR)) with moyamoya disease progression and complication types. A total of 314 patients diagnosed with moyamoya disease were included. Triglyceride and CRP levels were assessed and categorized based on Korean guidelines for dyslipidemia and CDC/AHA guidelines, respectively. Perfusion markers were evaluated using Diamox SPECT. Cox proportional hazard analysis was performed to examine the relationship between these markers and disease progression, as well as complication types (ischemic stroke, hemorrhagic stroke, and rCVR deterioration). Elevated triglyceride levels (≥ 200) were significantly associated with higher likelihood of end-point events (HR: 2.292, CI 1.00–4.979, P = 0.03). Severe decreased rCVR findings on Diamox SPECT were also significantly associated with end-point events (HR: 3.431, CI 1.254–9.389, P = 0.02). Increased CRP levels and white blood cell (WBC) count were significantly associated with moyamoya disease progression. For hemorrhagic stroke, higher triglyceride levels were significantly associated with end-point events (HR: 5.180, CI 1.355–19.801, P = 0.02). For ischemic stroke, severe decreased rCVR findings on Diamox SPECT (HR: 5.939, CI 1.616–21.829, P < 0.01) and increased CRP levels (HR: 1.465, CI 1.009–2.127, P = 0.05) were significantly associated with end-point events. Elevated triglyceride, CRP, and inflammation markers, as well as decreased rCVR, are potential predictors of moyamoya disease progression and complication types. Further research is warranted to understand their role in disease pathophysiology and treatment strategies.
Examining double standards in layoff preferences and expectations for gender, age, and ethnicity when violating the social norm of vaccination
Authors: Moya Cristóbal , Sattler Sebastian , Taflinger Shannon , Sauer Carsten 
Published: January 2024

AbstractWhether vaccination refusal is perceived as a social norm violation that affects layoff decisions has not been tested. Also unknown is whether ascribed low-status groups are subject to double standards when they violate norms, experiencing stronger sanctions in layoff preferences and expectations, and whether work performance attenuates such sanctioning. Therefore, we study layoff preferences and expectations using a discrete choice experiment within a large representative online survey in Germany (N = 12,136). Respondents chose between two employee profiles, each with information about ascribed characteristics signaling different status groups (gender, age, and ethnicity), work performance (work quality and quantity, and social skills), and whether the employees refused to vaccinate against COVID-19. We found that employees who refused vaccination were more likely to be preferred and expected to be laid off. Respondents also expected double standards regarding layoffs due to vaccination refusal, hence, harsher treatment of females and older employees. Nonetheless, their preferences did not reflect such double standards. We found little support that high work performance attenuates these sanctions and double standards, opening questions about the conditions under which social biases arise. Our results suggest detrimental consequences of vaccination refusal for individuals, the labor market, and acceptance of health policies.
An integrated approach to occupational health risk assessment of manufacturing nanomaterials using Pythagorean Fuzzy AHP and Fuzzy Inference System
Authors: Salari Samaneh , Sadeghi-Yarandi Mohsen , Golbabaei Farideh 
Published: January 2024

AbstractNanomaterials (NMs) have the potential to be hazardous owing to their unique physico-chemical properties. Therefore, the need for Health Risk Assessment (HRA) of NMs is expanding. In this study, a novel HRA was developed by the Pythagorean Fuzzy Health Risk Assessment (PFHRA) approach. Risk is considered to be the outcome of parameters including Occurrence Likelihood (OL), Potential Exposure (PE) and Toxic Effects (TE). In our proposed method, priority weights of sub-factors in Pythagorean Fuzzy-Analytical Hierarchical Process (PF-AHP) were determined by pairwise comparison based on expert judgment. After determining parameter scores, both RM and risk class (i.e., negligible, minor, major and critical) were reported as Fuzzy Inference System (FIS) output. Ultimately, a risk management strategy is presented for NMs manufacturing workplaces. This proposed method provides experts with more flexibility to express their opinions. The PFHRA approach was applied for two scenarios. The production scenario for SiNPs can create minor (5%) and major (95%) occupational health risks; the production scenario for ZnONPs can create minor (100%) concerns. However, the production SiNPs and ZnONPs utilizing the CB Nanotool technique had a major and minor risk class, respectively. The results of the present study confirmed the reliability and applicability of this approach.
Intralesional injection of tuberculin purified protein derivative (PPD) versus measles, mumps, and rubella (MMR) vaccine in treatment of molluscum contagiosum: a comparative study
Authors: Zaky Mohamed S. , Atallah Rabie B. , Mohyeldeen Aya M. Saad , Elsaie Mohamed L. 
Published: January 2024

AbstractMolluscum contagiosum (MC) is a skin and mucous membrane infection caused by the molluscum virus (MCV). To evaluate safety and efficacy of intralesional injection of tuberculin purified protein derivative (PPD) antigen injection versus MMR (mumps, measles, rubella) antigen for the treatment of molluscum contagiosum (MC). A total of thirty clinically confirmed patients of molluscum were recruited for this trial. Patients who were divided into three groups (A, B and C). Each group consisted of (30) patients. Group (A) subjects received intralesional MMR injections, group (B) subjects received intralesional PPD injection and group (C) received intralesional saline injection. The results of the present study revealed complete clearance of the injected lesions in 12 patients (80%), partial response in 3 patients (20%) of group (A). In group (B), complete clearance of the treated warts was observed in 11 patients (73.3%) and partial response in 4 (26.7%) of patients. In group (C), the majority of patients 8 (53.3%) demonstrated no response while 7 (46.7%) patients showed only partial clearance. We established a good safety and efficacy profile for tuberculin PPD and MMR antigens in treatment of molluscum contagiosum.
A comparison of the disease occurrence of cerebrovascular diseases, diabetes mellitus, hypertensive diseases, and ischaemic heart diseases among hospitalized older adults in Thailand
Authors: Suanrueang Passakorn 
Published: January 2024

AbstractThis observational research analyzed public hospital data from the Thailand Ministry of Public Health website to investigate gender differences in four categories of non-communicable diseases (NCDs) affecting hospitalized senior Thai populations for 12 years. This study aimed to determine the cumulative effects and analyze the odds ratio (OR) according to ICD-10 cause categories for the data from 2010 to 2021, accounting for 1,327,093 cases in 2010 and 2,275,936 cases in 2021. The findings revealed statistically significant gender differences in four categories of NCDs. Men were found to be more likely than women to have two types of NCDs, as measured by the OR (95%CI): cerebrovascular diseases (OR 1.34–1.47, 95%CI 1.32–1.48), and ischaemic heart disease (OR 1.24–1.63, 95%CI 1.23–1.64). Conversely, diabetes mellitus (OR 0.64–0.84, 95%CI 0.63–0.85) and hypertensive disorders (OR 0.82–0.95, 95%CI 0.81–0.97) were discovered to have a lower likelihood of ratios related in men compared to women. However, the trend of all four NCDs in men has significantly increased every year: cerebrovascular diseases = 0.0093 year(s) + 1.3391, (R2 0.82, p-value 0.001); diabetes mellitus = 0.0171 year(s) + 0.6143, (R2 0.97, p-value 0.001); hypertension = 0.0125 year(s) + 0.8091, (R2 0.96, p-value 0.001); and ischaemic heart disease = 0.0345 year(s) + 1.1884, (R2 0.99, p-value 0.001).Gender, a crucial biological factor, contributes to variations in the prevalence of illness. As such, it is essential to prioritize the disease risk occurrence and preventive care for men and women separately, with a focus on implementing more detailed screening and detection strategies, as well as tailored interventions.
Effects of combined extreme cold and drought stress on growth, photosynthesis, and physiological characteristics of cool-season grasses
Authors: Li Juanxia , Bai Xiaoming , Ran Fu , Zhang Caizhong , Yan Yubang , Li Ping , Chen Hui 
Published: January 2024

AbstractAbiotic stress is an important factor affecting turf establishment and limiting the sustainability of the turf industry. To alleviate the effects of combined cold and drought stress in cold- and drought-prone regions, it is essential to select and introduce turfgrass germplasms that are suitable for these conditions for successful turf establishment. Thus, we evaluated the effects of combined extreme cold and drought stress on the morphological, plant leaf functional, photosynthetic, and physiological and biochemical traits of 16 wild annual bluegrass (Poa annua) germplasms. We found that there were significant differences (P < 0.05) among different provenances, combined cold and drought stress, and the main interaction factors. Combined cold and drought stress altered the morphological characteristics of the 16 germplasms to varying degrees. Furthermore, combined cold and drought stress significantly reduced the net photosynthetic rate (Pn), stomatal conductance (gs), transpiration rate (Tr), instantaneous water use efficiency (WUE), chlorophyll content, chlorophyll fluorescence parameters, accumulated intercellular CO2 concentration (Ci), and relative electrical conductivity (REC) and malondialdehyde (MDA), proline (Pro), soluble protein (SP), soluble sugar (SS), superoxide anion (O2.-), hydrogen peroxide (H2O2), and hydroxyl radical (·OH) and other active oxygen, and increased the superoxide dismutase activity (SOD), peroxidase activity (POD), catalase activity (CAT), ascorbate peroxidase activity (APX) and glutathione reductase (GR) activities. Comprehensive evaluation using principal component analysis (PCA), membership function analysis, and clustered heatmaps indicated that the ‘HZ’ germplasm had stronger combined cold and drought tolerance, whereas the ‘ZQ’ germplasm was more sensitive to combined cold and drought, which was roughly consistent with the order of morphological damage symptoms. Therefore, it is recommended to use the ‘HZ’ germplasm for planting projects in cold- and drought-prone areas, while the ‘ZQ’ germplasm is more suitable for use under warmer and non-water-deficient conditions.