bluuebunny/crossref_metadata_2025_split huggingface dataset:
CADTEP: A new daily quality‐controlled and homogenized climate database for Catalonia (1950–2021)
Authors: Prohom Marc , Domonkos Peter , Cunillera Jordi , Barrera‐Escoda Antoni , Busto Montserrat , Herrero‐Anaya Mònica , Aparicio Albert , Reynés Jaume 
Published: May 2023

AbstractNew daily minimum temperature (TN), maximum temperature (TX) and precipitation amount (PPT) database CADTEP (CAtalan Daily TEmperature and Precipitation data set) has been developed for Catalonia, Spain. The source dataset consists of the available climate records from Catalonia provided by the State Meteorology Agency of Spain (AEMET) and the Catalan Meteorological Service (SMC). We selected the long and fairly complete records and created further long series by merging the records of nearby stations. Finally, 26 TN, 26 TX and 72 PPT time series covering the period 1950–2021 have been accepted for CADTEP from the several hundreds of, but mostly much shorter time series. This database has sufficiently dense time series to reach accurate estimates of regional climate variability. CADTEP time series were subjected to thorough quality control and time series homogenization. In the quality control, many shorter series were still in use. Both in quality control and time series homogenization, several series surrounding Catalonia, but close to the borders, were also considered to achieve a higher data accuracy in CADTEP. The homogenization was performed with ACMANTv5.1. In this new version of ACMANT, metadata dates pointing on likely occurrences of nonclimatic changes (breaks) are contemplated in the homogenization as sure break positions. Finally, we examined the trend and variability of TN, TX and PPT over 1950–2021 using CADTEP. Differences between the use of homogenized and raw data, as well as between the inclusion and exclusion of metadata use in the homogenization procedure were controlled. The most important conclusions are related to the trend analysis, namely the speed of the warming of summer TX is faster than in other seasons, faster than the warming of TN in general, and the triple of the mean global warming speed.
Predictive model for available soil phosphorus in Enamor Ener Woreda, southern Ethiopia
Authors: Abuye Francis , Haile Mitiku , Haile Wassie 
Published: May 2023

AbstractBackgroundPredicting soil phosphorus (P) needs and P fertilizer requirements are important for plant nutrition and reducing environmental risk. Thus, the precise estimation of available soil P (ASP) is required for the better management of environmental resources and improving agricultural productivity. Yearly, direct measurements of most nutrients at large scales are time‐consuming and expensive within the economic point of view.AimTherefore, to tackle such limitations indirect measurement of them in an accurate estimating manner is a possibility.MethodsThus, during this study, an exponential regression model for predicting ASP was suggested, and it was estimated as a function of soil organic carbon (OC). OC and ASP were used to investigate and analyze the soil to determine empirical relationships between them. Determination of the mentioned nutrient within the laboratory is somewhat difficult and time‐consuming. Therefore, an exponential regression model for predicting ASP from soil OC was suggested, and it was estimated as a function of soil OC. The ASP predicted from the ASP‐OC model was compared to the ASP determined by laboratory test using the paired samplest‐test and the Bland–Altman approach using SPSS.ResultsThe ASP predicted by the ASP‐OC model was not significantly different from the ASP determined by laboratory test since (p> 0.05).ConclusionsThe findings of the study indicated that the ASP‐OC model provides a simple, economic, and brief methodology to estimate ASP, and so to predict ASP‐supported soil OC using the exponential regression model (Y=aebX), the suggested model based on the findings for ASP is ASP = 9.786 e0.486 OCwithR2= 0.901 often suggested.
Timing and extent of glaciation since the Last Glacial Maximum in the upper Kalguty basin, Russian Altai Mountains
Authors: Deline Philip , Ravanel Ludovic , Delannoy Jean‐Jacques , Le Roy Melaine , Team Aster , Léanni Laëtitia , Cheremisin Dimitri V. , Zotkina Lydia V. , Cretin Catherine , Geneste Jean‐Michel , Plisson Hugues , Molodin Vyacheslav I. 
Published: May 2023

ABSTRACTThe mountains systems of Central Asia are primary targets to study late Pleistocene climate evolution given their location at the crossroads of several atmospheric circulation systems. The timing of glacier extent during this period remains understudied, especially in the Altai Mountains. Here, we have reconstructed glacier extent during three main Late Pleistocene stadials in the upper Kalguty basin (south‐eastern Russian Altai) based on field‐based geomorphic analysis. Additionally, surface exposure dating with 10Be and 26Al at a key site was used to infer a minimum‐limiting age for the outermost well‐preserved Pleistocene frontal moraine system and to date the inception of glacier withdrawal. According to our data, around 20.6 ± 1.8 ka Kalguty Glacier was still 200 m thick at the key site, 10 km upstream of the outermost moraine, and the site was totally deglaciated shortly after 20.4 ± 0.4 ka. These results point to a rapid retreat of this low‐gradient valley glacier after its probably MIS 2 maximum which was prior to 21 ka and probably prior to 22.5 ka. Two other glacier stages have been identified upvalley, characterized by a depression of the equilibrium‐line altitude of 420 and 314 m with respect to the Little Ice Age, thus corresponding to Lateglacial advances. Our glacier reconstruction further provides a geomorphological and geochronological background to put into context archaeological findings in this area.
Influence of adaptation length on assayed metabolizable energy of maize and barley supplemented with or without glucanase for broiler chickens using the index method
Authors: Veluri Shravani , Olukosi Oluyinka A. 
Published: May 2023

AbstractBackgroundThis effect of adaptation length (AL) on the apparent metabolizable energy (AME) and nitrogen‐corrected AME (AMEn) of maize and barley supplemented with or without β‐glucanase enzyme was assessed in this study. Three experimental diets were formulated with a wheat‐soybean meal diet as a reference diet (RD) and two additional diets with maize or barley included at 300 g kg−1 into the reference diet. A total of 324 Cobb 500 broilers were used for the experiment in a 3 × 2 factorial with factors AL (10, 7, or 4 days) and enzyme (with or without) for cereal grains maize and barley. Birds on 10, 7, or 4 days AL were given experimental diets beginning at from d 11, 14, and 17 of age, respectively. Excreta were collected on d 20 and 21. The AME and AMEn of cereal grain were calculated by the difference method.ResultsThere was no significant interaction between the factors for barley AME and AMEn. The AME and AMEn of maize decreased p < 0.05) step‐wise with increasing in AL from 4 to 10 days. However, when supplemented with an enzyme, the AME and AMEn of maize were similar at 4, 7, and 10 days AL. Enzyme supplementation improved (p < 0.01) AME and AMEn of barley, but there was no effect of AL on barley AME and AMEn.ConclusionIn conclusion, the influence of AL on assayed AME in cereal grains supplemented with enzyme was more pronounced for maize and less so for barley.
Online temperature‐monitoring technology for grain storage: a three‐dimensional visualization method based on an adaptive neighborhood clustering algorithm
Authors: Li Jinpeng , Su Zhiyuan , Li Yanyu , Zhao Huiyi , Chen Xin 
Published: May 2023

AbstractBACKGROUNDPost‐harvest quality assurance is a crucial link between grain production and end users. It is essential to ensure that grain does not deteriorate due to heating during storage. To visualize the temperature distribution of a grain pile, the present study proposed a three‐dimensional (3D) temperature field visualization method based on an adaptive neighborhood clustering algorithm (ANCA). The ANCA‐based visualization method contains four calculation modules. First, discrete grain temperature data, obtained by sensors, are collected and interpolated using back propagation (BP) neural networks to model the temperature field. Then a new adaptive neighborhood clustering algorithm is applied to divide interpolation data into different categories by combining spatial characteristics and spatiotemporal information. Next, the Quickhull algorithm is used to compute the boundary points of each cluster. Finally, the polyhedrons determined by boundary points are rendered into different colors and are constructed in a 3D temperature model of the grain pile.RESULTSThe experimental results show that ANCA is much better than the DBSCAN and MeanShift algorithms on compactness (around 95.7% of tested cases) and separation (approximately 91.3% of tested cases). Moreover, the ANCA‐based visualization method for grain pile temperatures has a shorter rendering time and better visual effects.CONCLUSIONThis research provides an efficient 3D visualization method that allows managers of grain depots to obtain temperature field information for bulk grain visually in real time to help them protect grain quality during storage. © 2023 Society of Chemical Industry.
The dynamic microenvironment associated with metastatic bone disease: Current concepts
Authors: Bhale Rahul , Ghosh Paramita , Theriault Raminta , Thorpe Steven , Loots Gabriela , Randall R. Lor 
Published: May 2023

AbstractPatients with bone metastases may experience debilitating pain, neurological conditions, increased risk of pathological fractures, and death. A deeper understanding of the bone microenvironment, the molecular biology of cancer types prone to metastasis, and how bone physiology promotes cancer growth, may help to uncover targeted treatment options. The purpose of this paper is to outline the current concepts relevant to topics including bone remodeling, angiogenesis, and immunomodulation as it relates to metastatic bone disease.
A prediction model to refine the timing of an early second‐look laparoscopic exploration in patients with colon cancer at high risk of early peritoneal metastasis recurrence
Authors: Fawaz Jade , Pocard Marc , Liberale Gabriel , Eveno Clarisse , Malgras Brice , Sideris Lucas , Hübner Martin , Sabbagh Charles , Sgarbura Olivia , Taibi Abdelkader , Hobeika Christian 
Published: May 2023

AbstractBackgroundIn patients at high risk of peritoneal metastasis (PM) recurrence following surgical treatment of colon cancer (CC), second‐look laparoscopic exploration (SLLE) is mandatory; however, the best timing is unknown. We created a tool to refine the timing of early SLLE in patients at high risk of PM recurrence.MethodsThis international cohort study included patients who underwent CC surgery between 2009 and 2020. All patients had PM recurrence. Factors associated with PM‐free survival (PMFS) were assessed using Cox regression. The primary endpoint was early PM recurrence defined as a PMFS of <6 months. A model (logistic regression) was fitted and corrected using bootstrap.ResultsIn total, 235 patients were included. The median PMFS was 13 (IQR, 8–22) months, and 15.7% of the patients experienced an early PM recurrence. Synchronous limited PM and/or ovarian metastasis (hazard ratio [HR]: 2.50; 95% confidence interval [CI]: [1.66–3.78]; p < 0.001) were associated with a very high‐risk status requiring SLLE. T4 (HR: 1.47; 95% CI: [1.03–2.11]; p = 0.036), transverse tumor localization (HR: 0.35; 95% CI: [0.17–0.69]; p = 0.002), emergency surgery (HR: 2.06; 95% CI: [1.36–3.13]; p < 0.001), mucinous subtype (HR: 0.50; 95% CI [0.30, 0.82]; p = 0.006), microsatellite instability (HR: 2.29; 95% CI [1.06, 4.93]; p = 0.036), KRAS mutation (HR: 1.78; 95% CI: [1.24–2.55]; p = 0.002), and complete protocol of adjuvant chemotherapy (HR: 0.93; 95% CI: [0.89–0.96]; p < 0.001) were also prognostic factors for PMFS. Thus, a model was fitted (area under the curve: 0.87; 95% CI: [0.82–0.92]) for prediction, and a cutoff of 150 points was identified to classify patients at high risk of early PM recurrence.ConclusionUsing a nomogram, eight prognostic factors were identified to select patients at high risk for early PM recurrence objectively. Patients reaching 150 points could benefit from an early SLLE.
High frequency of cutaneous eruptions within the first year after allogeneic hematopoietic stem cell transplantation
Authors: Dambricourt Valentine , Bassompierre Adrien , Le Calve Claire , Magro Léonardo , Beauvais David , Srour Micha , Coiteux Valérie , Faiz Sarah , Catteau Benoît , Staumont‐Salle Delphine , Dezoteux Frédéric 
Published: May 2023

AbstractBackgroundThe diagnosis and management of eruptions after hematopoietic cell transplantation (HCT) is a challenge due to their atypical clinical presentation and the biology biased by immunosuppression and graft. The diagnosis is therefore based on multiple grounds. Few studies have focused on the occurrence of a skin rash during the first year of transplantation.ObjectivesTo assess the frequency of rashes in this period, as well as their differential diagnosis and multidisciplinary management.MethodsWe performed a retrospective monocentric descriptive study in the Department of Blood Diseases of Lille University Hospital. All patients who received allogeneic HCT between January 1, 2018, and December 31, 2019, were included.ResultsWe included 196 patients with allogeneic HCT. Of these, 89 (45.4%) presented a skin rash during the first year after transplantation. Among them, 78.7% were diagnosed with acute graft versus host disease (GVHD), 6.7% chemotherapy toxicity, 4.5% chronic GVH, 2.2% of infectious origin and 1.1% drug hypersensitivity. The outcome was mainly favourable (74.2% experienced resolution). A skin biopsy was performed in 9% of cases. Viral polymerase chain reactions (PCRs) were positive in 7.1% of tested patients.ConclusionsOur study revealed a high frequency of skin rashes in stem cell transplant patients, thus justifying the multidisciplinary management of these high‐risk patients, which require both dermatological and haematological early expert assessment.
Observational 24‐week study to assess clinical response to upadacitinib posttrial in patients with moderate‐to‐severe atopic dermatitis
Authors: Batalla Ana , Suh‐Oh Hae Jin , Carretero Hernández Gregorio , Miquel‐Miquel Javier , Botella‐Estrada Rafael , Martorell‐Calatayud Antonio , Sanz‐Motilva Virginia , Figueras‐Nart Ignasi , Flórez Angeles 
Published: May 2023

AbstractBackgroundThe oral anti‐janus kinase 1 inhibitor upadacitinib has shown a good efficacy–safety profile in the treatment of moderate‐to‐severe atopic dermatitis (AD) in clinical trials; however, few data from real clinical practice have been published so far.ObjectivesTo evaluate the efficacy and safety of upadactinib in clinical practice.MethodsAn observational and multicentric study was conducted. Inclusion criteria consisted of patients who had previously received upadacitinib in the clinical trial M19‐850 and continued treatment with upadacitinib (15 mg or 30 mg) under daily clinical practice conditions for 12 months. Demographic data, characteristics of AD, treatment response and adverse events were recorded. Preliminary results at 24‐week follow‐up are herein presented.ResultsA total of 26 patients (61.54% males, mean age: 35.58 years) were included in the study; of these, 92.31% received upadacitinib 30 mg at baseline. At 24 weeks, mean values of Eczema Area and Severity Index and body surface area were 2.26 and 2.37%, respectively, 82.35% of the patients reached the Investigator's Global Assessment 0/1 and the mean value of peak pruritus numerical rating scale was 1.74. Adverse events were present in 19.23% of the cases, causing one definitive treatment interruption (due to herpes zoster) and two temporary treatment discontinuations (due to temporary elevation of creatine kinase).ConclusionsThese data support the maintenance of the efficacy of upadacitinib at 24‐week posttrial follow‐up, with no unexpected safety concerns. More real‐world data are needed to confirm these results.
Applications of Polydopamine in Implant Surface Modification
Authors: Ma Ting , Wang Chen‐Xi , Ge Xi‐Yuan , Zhang Yu 
Published: May 2023

AbstractThere is great clinical demand for orthopedic and dental implant surface modification methods to prevent osseointegration failure and improve implant biological functions. Notably, dopamine (DA) can be polymerized to form polydopamine (PDA), which is similar to the adhesive proteins secreted by mussels, to form a stable bond between the bone surface and implants. Therefore, PDA has the potential to be used as an implant surface modification material with good hydrophilicity, roughness, morphology, mechanical strength, biocompatibility, antibacterial activity, cellular adhesion, and osteogenesis. In addition, PDA degradation releases DA into the surrounding microenvironment, which is found to play an important role in regulating DA receptors on both osteoblasts and osteoclasts during the bone remodeling process. Furthermore, the adhesion properties of PDA suggest its use as an intermediate layer in assisting other functional bone remodeling materials, such as nanoparticles, growth factors, peptides, and hydrogels, to form “dual modifications.” The purpose of this review is to summarize the recent progress in research on PDA and its derivatives as orthopedic and dental implant surface modification materials and to analyze the multiple functions of PDA.
Development of Piezoelectric Elastomers and Their Applications in Soft Devices
Authors: Wen Jie , Wu Wenqiang , Xie Zhengtian , Wu Jinrong 
Published: May 2023

AbstractPiezoelectric materials have wide‐ranging applications owing to their capacity to convert mechanical energy into electrical energy in daily life scenarios. With rapid development in fields such as wearable electronics, intelligent electronic products, and medical equipment, the requirement for the elasticity of piezoelectric materials has become increasingly stringent. However, combining high piezoelectric performance with high elasticity in most conventional piezoelectric materials is challenging, limiting the application of piezoelectric elastomers in complex scenarios. Recently, several piezoelectric elastomer materials with good flexibility, high elasticity, and easy processing ability have been reported, and their applications in soft devices have rapidly developed. In this review, the current state of piezoelectric elastomers and their applications are systematically reviewed. Additionally, an overview of trends in the development of piezoelectric elastomer materials is given, providing a reference for future research in this field.
Calabi–Yau threefolds with non‐Gorenstein involutions
Authors: Lee Nam‐Hoon 
Published: May 2023

AbstractThe concept of non‐Gorenstein involutions on Calabi–Yau threefolds is a higher dimensional generalization of non‐symplectic involutions on K3 surfaces. We present some elementary facts about Calabi–Yau threefolds with non‐Gorenstein involutions. We give a classification of the Calabi–Yau threefolds of Picard rank one with non‐Gorenstein involutions, whose fixed locus is not zero‐dimensional.
A compressed sensing‐based diagnosis method for impaired subarrayed antenna arrays
Authors: Bai Guo , Zhong Xuanming , He Xinye , Liao Cheng 
Published: May 2023

AbstractA novel diagnosis method for impaired subarrayed antenna arrays is proposed in this letter. The proposed method can be applied to the diagnosis of both impaired subarrays and failed elements by analyzing the impairment circumstances and using the compressing sensing‐based method. The accuracy of the diagnosis results is greatly improved through an iterative reweighted ‐norm method with the matrix techniques, even if there are many failed elements in each impaired subarrays. The analysis of numerical examples, including the diagnoisis of linear arrays and planar arrays, and the comparison with the state‐of‐the‐art diagnosis techniques show the superiority of the proposed method for the application of diagnosis of impaired subarrayed arrays.
Is family social exclusion associated with child motor and socioemotional development delay? A cross‐sectional exploratory study
Authors: Ramos De Oliveira Clariana Vitória , Palombo Cláudia Nery Teixeira , Jeong Joshua , Cordero Katherine Maria Solís , Fujimori Elizabeth 
Published: May 2023

AbstractAimThe objective was to identify if family social exclusion is associated with child motor and social development delay in Southeastern Brazil.DesignA cross‐sectional study was conducted using data from a sample of 348 children under 3 years, proportional to the number of children registered in the primary care centres of the municipality.MethodsChild development was measured using the “Developmental Surveillance Instrument” which was developed by the Ministry of Health in Brazil and is used for public health nurses and clinicians in their practice. An index was used to evaluate social exclusion.ResultsThe prevalence of child motor and socioemotional developmental delay was 27.6% and 17.2%, respectively. Children in the most social excluded group were more likely to have delayed motor development (OR = 3.4; 95% CI = 1.14; 10.55) and socioemotional developmental delay (OR = 3.9; 95% CI = 1.05; 9.02) than children in the least social excluded group.
Proatherogenic changes in lipoprotein particles associated with a high triglyceride to high‐density lipoprotein cholesterol ratio in youths
Authors: Chiriacò Martina , Nesti Lorenzo , Natali Andrea , Santoro Nicola , Caprio Sonia , Tricò Domenico 
Published: May 2023

AbstractObjectiveA high triglyceride (TG) to high‐density lipoprotein cholesterol (HDL) ratio (TG/HDL) predicts atherosclerosis and cardiovascular events. This study examined whether a proatherogenic distribution of plasma lipoprotein subclasses is associated with a high TG/HDL ratio in youths with obesity.MethodsLipoprotein particle concentration and size were measured by proton nuclear magnetic resonance in a multiethnic cohort of 592 adolescents with overweight/obesity (age 13 ± 3 years, 58% females, BMI z score 2.1 ± 0.8) who were phenotyped with a 3‐hour oral glucose tolerance test and abdominal magnetic resonance imaging.ResultsThe highest TG/HDL quartile showed a higher particle concentration of very low‐density lipoprotein (VLDL; +178%, p < 0.0001), intermediate‐density lipoprotein (+338%, p < 0.0001), and low‐density lipoprotein (LDL; +42%, p < 0.0001), compared with the lowest quartile. The prevalence of large VLDL, very small LDL, and small HDL progressively increased across TG/HDL quartiles. The TG/HDL ratio correlated positively with the average particle size of VLDL (r = 0.37, p < 0.0001) and negatively with particle size of both LDL (r = −0.51, p < 0.0001) and HDL (r = −0.69, p < 0.0001). These associations were independent of sex, age, race/ethnicity, body mass, fasting plasma glucose, and insulin sensitivity.ConclusionsIn youths with obesity, an elevated TG/HDL ratio is associated with high concentrations of proatherogenic lipoprotein subclasses. This phenotype may explain the increased cardiovascular risk associated with a high TG/HDL ratio.