bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inherent spatiotemporal uncertainty of renewable power in China
Authors: Wang Jianxiao , Chen Liudong , Tan Zhenfei , Du Ershun , Liu Nian , Ma Jing , Sun Mingyang , Li Canbing , Song Jie , Lu Xi , Tan Chin-Woo , He Guannan 
Published: September 2023

AbstractSolar and wind resources are vital for the sustainable energy transition. Although renewable potentials have been widely assessed in existing literature, few studies have examined the statistical characteristics of the inherent renewable uncertainties arising from natural randomness, which is inevitable in stochastic-aware research and applications. Here we develop a rule-of-thumb statistical learning model for wind and solar power prediction and generate a year-long dataset of hourly prediction errors of 30 provinces in China. We reveal diversified spatiotemporal distribution patterns of prediction errors, indicating that over 60% of wind prediction errors and 50% of solar prediction errors arise from scenarios with high utilization rates. The first-order difference and peak ratio of generation series are two primary indicators explaining the uncertainty distribution. Additionally, we analyze the seasonal distributions of the provincial prediction errors that reveal a consistent law in China. Finally, policies including incentive improvements and interprovincial scheduling are suggested.
Suppression of hollow droplet rebound on super-repellent surfaces
Authors: Zhou Ying , Zhang Chenguang , Zhao Wenchang , Wang Shiyu , Zhu Pingan 
Published: September 2023

AbstractDroplet rebound is ubiquitous on super-repellent surfaces. Conversion between kinetic and surface energies suggests that rebound suppression is unachievable due to negligible energy dissipation. Here, we present an effective approach to suppressing rebounds by incorporating bubbles into droplets, even in super-repellent states. This suppression arises from the counteractive capillary effects within bubble-encapsulated hollow droplets. The capillary flows induced by the deformed inner-bubble surface counterbalance those driven by the outer-droplet surface, resulting in a reduction of the effective take-off momentum. We propose a double-spring system with reduced effective elasticity for hollow droplets, wherein the competing springs offer distinct behavior from the classical single-spring model employed for single-phase droplets. Through experimental, analytical, and numerical validations, we establish a comprehensive and unified understanding of droplet rebound, by which the behavior of single-phase droplets represents the exceptional case of zero bubble volume and can be encompassed within this overarching framework.
Manipulations of multi-frequency waves and signals via multi-partition asynchronous space-time-coding digital metasurface
Authors: Wang Si Ran , Dai Jun Yan , Zhou Qun Yan , Ke Jun Chen , Cheng Qiang , Cui Tie Jun 
Published: September 2023

AbstractManipulations of multiple carrier frequencies are especially important in a variety of fields like radar detection and wireless communications. In conventional radio-frequency architecture, the multi-frequency control is implemented by microwave circuits, which are hard to integrate with antenna apertures, thus bringing the problems of expensive system and high power consumption. Previous studies demonstrate the possibility to jointly control the multiple harmonics using space-time-coding digital metasurface, but suffer from the drawback of inherent harmonic entanglement. To overcome the difficulties, we propose a multi-partition asynchronous space-time-coding digital metasurface (ASTCM) to generate and manipulate multiple frequencies with more flexibility. We further establish an ASTCM-based transmitter to realize wireless communications with frequency-division multiplexing, where the metasurface is responsible for carrier-wave generations and signal modulations. The direct multi-frequency controls with ASTCM provides a new avenue to simplify the traditional wireless systems with reduced costs and low power consumption.
Evolution of phenotypic disparity in the plant kingdom
Authors: Clark James W. , Hetherington Alexander J. , Morris Jennifer L. , Pressel Silvia , Duckett Jeffrey G. , Puttick Mark N. , Schneider Harald , Kenrick Paul , Wellman Charles H. , Donoghue Philip C. J. 
Published: September 2023

AbstractThe plant kingdom exhibits diverse bodyplans, from single-celled algae to complex multicellular land plants, but it is unclear how this phenotypic disparity was achieved. Here we show that the living divisions comprise discrete clusters within morphospace, separated largely by reproductive innovations, the extinction of evolutionary intermediates and lineage-specific evolution. Phenotypic complexity correlates not with disparity but with ploidy history, reflecting the role of genome duplication in plant macroevolution. Overall, the plant kingdom exhibits a pattern of episodically increasing disparity throughout its evolutionary history that mirrors the evolutionary floras and reflects ecological expansion facilitated by reproductive innovations. This pattern also parallels that seen in the animal and fungal kingdoms, suggesting a general pattern for the evolution of multicellular bodyplans.
Spatial multimodal analysis of transcriptomes and metabolomes in tissues
Authors: Vicari Marco , Mirzazadeh Reza , Nilsson Anna , Shariatgorji Reza , Bjärterot Patrik , Larsson Ludvig , Lee Hower , Nilsson Mats , Foyer Julia , Ekvall Markus , Czarnewski Paulo , Zhang Xiaoqun , Svenningsson Per , Käll Lukas , Andrén Per E. , Lundeberg Joakim 
Published: September 2023

AbstractWe present a spatial omics approach that combines histology, mass spectrometry imaging and spatial transcriptomics to facilitate precise measurements of mRNA transcripts and low-molecular-weight metabolites across tissue regions. The workflow is compatible with commercially available Visium glass slides. We demonstrate the potential of our method using mouse and human brain samples in the context of dopamine and Parkinson’s disease.
Plant traits and associated data from a warming experiment, a seabird colony, and along elevation in Svalbard
Authors: Vandvik Vigdis , Halbritter Aud H. , Althuizen Inge H. J. , Christiansen Casper T. , Henn Jonathan J. , Jónsdóttir Ingibjörg Svala , Klanderud Kari , Macias-Fauria Marc , Malhi Yadvinder , Maitner Brian Salvin , Michaletz Sean , Roos Ruben E. , Telford Richard J. , Bass Polly , Björnsdóttir Katrín , Bustamante Lucely Lucero Vilca , Chmurzynski Adam , Chen Shuli , Haugum Siri Vatsø , Kemppinen Julia , Lepley Kai , Li Yaoqi , Linabury Mary , Matos Ilaíne Silveira , Neto-Bradley Barbara M. , Ng Molly , Niittynen Pekka , Östman Silje , Pánková Karolína , Roth Nina , Castorena Matiss , Spiegel Marcus , Thomson Eleanor , Vågenes Alexander Sæle , Enquist Brian J. 
Published: September 2023

AbstractThe Arctic is warming at a rate four times the global average, while also being exposed to other global environmental changes, resulting in widespread vegetation and ecosystem change. Integrating functional trait-based approaches with multi-level vegetation, ecosystem, and landscape data enables a holistic understanding of the drivers and consequences of these changes. In two High Arctic study systems near Longyearbyen, Svalbard, a 20-year ITEX warming experiment and elevational gradients with and without nutrient input from nesting seabirds, we collected data on vegetation composition and structure, plant functional traits, ecosystem fluxes, multispectral remote sensing, and microclimate. The dataset contains 1,962 plant records and 16,160 trait measurements from 34 vascular plant taxa, for 9 of which these are the first published trait data. By integrating these comprehensive data, we bridge knowledge gaps and expand trait data coverage, including on intraspecific trait variation. These data can offer insights into ecosystem functioning and provide baselines to assess climate and environmental change impacts. Such knowledge is crucial for effective conservation and management in these vulnerable regions.
2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning
Authors: Kiss Maximilian B. , Coban Sophia B. , Batenburg K. Joost , van Leeuwen Tristan , Lucka Felix 
Published: September 2023

AbstractRecent research in computational imaging largely focuses on developing machine learning (ML) techniques for image reconstruction, which requires large-scale training datasets consisting of measurement data and ground-truth images. However, suitable experimental datasets for X-ray Computed Tomography (CT) are scarce, and methods are often developed and evaluated only on simulated data. We fill this gap by providing the community with a versatile, open 2D fan-beam CT dataset suitable for developing ML techniques for a range of image reconstruction tasks. To acquire it, we designed a sophisticated, semi-automatic scan procedure that utilizes a highly-flexible laboratory X-ray CT setup. A diverse mix of samples with high natural variability in shape and density was scanned slice-by-slice (5,000 slices in total) with high angular and spatial resolution and three different beam characteristics: A high-fidelity, a low-dose and a beam-hardening-inflicted mode. In addition, 750 out-of-distribution slices were scanned with sample and beam variations to accommodate robustness and segmentation tasks. We provide raw projection data, reference reconstructions and segmentations based on an open-source data processing pipeline.
Effects of sowing date on photosynthetic characteristics, chlorophyll fluorescence and yield of different Echium plantagineum L. cultivars
Authors: Wang Wu , Wei Longxue , Li Hongming , Xu Huifeng , Xu Zhen , Yan Chengming , Wu Ying , Ji Shengzhen , Wang Tao 
Published: September 2023

AbstractThe seed oil of Echium plantagineum L. is rich in unsaturated fatty acids. With the gradual development of the value of echium oil in food, medical care and cosmetics, the corresponding market demand has also increased. The selection of suitable cultivars and the increase of yield per unit area has also become one of the main objectives of current breeding and cultivation of E. plantagineum. To effectively use the local photothermal resources, to improve the use of light energy by E. plantagineum, and to enhance the growth and yield of E. plantagineum. E. plantagineum cultivars Blue Bedder and Mixed Bedding were used as research subjects to study the effects of different sowing dates (1 May, 8 May, 15 May, 22 May and 29 May) on the photosynthetic characteristics and yield of E. plantagineum. Under the same cultivar conditions, with the delay in sowing date, the leaf chlorophyll content (SPAD), photosynthetic rate (Pn), transpiration rate (Tr), stomatal limitation value (Ls), photochemical quenching (qP), electron transfer rate (ETR), actual photochemical efficiency (ΦpsII) and yield of Blue Bedder decreased and reached a maximum at T1, while the SPAD, Pn, Tr, water use efficiency (WUE), Ls, initial fluorescence (Fo), maximum fluorescence (Fm), qP, ETR, ΦpsII and yield of Mixed Bedding reached the maximum at T4. Blue Bedder should be sown early at T1 and Mixed Bedding late at T4 during planting, which will help to improve the photosynthetic characteristics and grain yield of E. plantagineum.
Vibrational-mechanical properties of the highly-mismatched Cd1−xBexTe semiconductor alloy: experiment and ab initio calculations
Authors: Elmahjoubi A. , Shoker M. B. , Pagès O. , Torres V. J. B. , Polian A. , Postnikov A. V. , Bellin C. , Béneut K. , Gardiennet C. , Kervern G. , En Naciri A. , Broch L. , Hajj Hussein R. , Itié J.-P. , Nataf L. , Ravy S. , Franchetti P. , Diliberto S. , Michel S. , Abouais A. , Strzałkowski K. 
Published: September 2023

AbstractThe emerging CdTe–BeTe semiconductor alloy that exhibits a dramatic mismatch in bond covalency and bond stiffness clarifying its vibrational-mechanical properties is used as a benchmark to test the limits of the percolation model (PM) worked out to explain the complex Raman spectra of the related but less contrasted Zn1−xBex-chalcogenides. The test is done by way of experiment ($$x\le 0.11$$

x
≤
0.11

), combining Raman scattering with X-ray diffraction at high pressure, and ab initio calculations ($$x$$
x
~ 0–0.5; $$x$$
x
~1). The (macroscopic) bulk modulus $${B}_{0}$$

B
0

drops below the CdTe value on minor Be incorporation, at variance with a linear $${B}_{0}$$

B
0

versus $$x$$
x
increase predicted ab initio, thus hinting at large anharmonic effects in the real crystal. Yet, no anomaly occurs at the (microscopic) bond scale as the regular bimodal PM-type Raman signal predicted ab initio for Be–Te in minority ($$x$$
x
~0, 0.5) is barely detected experimentally. At large Be content ($$x$$
x
~1), the same bimodal signal relaxes all the way down to inversion, an unprecedented case. However, specific pressure dependencies of the regular ($$x$$
x
~0, 0.5) and inverted ($$x$$
x
~1) Be–Te Raman doublets are in line with the predictions of the PM. Hence, the PM applies as such to Cd1−xBexTe without further refinement, albeit in a “relaxed” form. This enhances the model’s validity as a generic descriptor of phonons in alloys.
Perceived stress of mothers and fathers on two NICUs before and during the SARS-CoV-2 pandemic
Authors: Deindl Philipp , Witting Andrea , Dür Mona , Berger Angelika , Klebermass-Schrehof Katrin , Singer Dominique , Giordano Vito , Fuiko Renate 
Published: September 2023

AbstractParents of very low birth weight (VLBW) infants in a neonatal intensive care unit experienced additional stress during the SARS-CoV-2 pandemic due to the related restrictions in hospital visiting policies. Our study aimed to compare parents' burdens before and during the pandemic. This survey included 121 parents of 76 VLBW infants in two European Level IV perinatal centers before and during the pandemic. We performed standardized parent questionnaires with mothers and fathers separately to evaluate their emotional stress and well-being. The pandemic worsened the emotional well-being of parents of VLBW infants, particularly of mothers. During the pandemic, mothers reported significantly higher state anxiety levels (48.9 vs. 42.9, p = 0.026) and hampered bonding with the child (6.3 vs. 5.2, 0 = 0.003) than before. In addition, mothers felt more personally restricted than fathers (6.1 vs. 5.2, p = 0.003). Fathers experienced lower levels of stress than mothers; they were equally burdened before and during the pandemic. Restrictions in visiting policies for families of VLBW infants during the SARS-CoV-2 pandemic have a significant negative impact on parental stress and should therefore be applied cautiously.
Optimized type-2 fuzzy controller based on IoMT for stabilizing the glucose level in type-1 diabetic patients
Authors: Sayed Amged , Zalam Belal A. , Elhoushy Mohanad , Nabil Essam 
Published: September 2023

AbstractDue to advancements in existing Internet of Medical Things (IoMT) systems and devices, the blood glucose level (BGL) for type-1 diabetic patients (T1DPs) is effectively and continually monitored and controlled by Artificial Pancreas. Because the regulation of BGL is a very complex process, many efforts have been conducted to design a powerful and effective controller for the exogenous insulin infusion system. The main objective of this study is to propose an optimized interval type-2 fuzzy (IT2F) based controller of artificial pancreas for regulation BGL of T1DP based on IoMT. The proposed controller should avoid the risk of hyperglycemia and hypoglycemia situations that T1DP faces during the infusion of exogenous insulin. The main contribution of this work is using meta-heuristic method called grey wolf optimizer (GWO) to tune the footprint of uncertainty for IT2F’s membership functions to inject the proper dose of insulin under different conditions. The nonlinear extended Bergman minimal model (EBMM) with uncertainty is used to represent the blood glucose regulation and represent the dynamics of meal disturbance in T1DP. The effectiveness and the performance of the proposed controller are investigated using MATLAB/Simulink platform. Simulation results show that the proposed controller can avoid both severe hypoglycemia and hyperglycemia for nominal parameters of the model, in addition to model under the presence of both parametric uncertainty and uncertain meal disturbance.
Developmental validation of Applied Biosystems YFiler Platinum Casework PCR Amplification Kit
Authors: Lee Sumin , McAnany Peterjon K. , Chang Chien Wei , Norona Wilma , Short Marc L. , Mulero Julio J. , Zhong Chang 
Published: September 2023

AbstractThe YFiler Platinum Casework PCR Amplification Kit is a 6-dye multiplex assay that simultaneously amplifies a set of 38 male-specific, Y-chromosome Short Tandem Repeat (YSTR) markers (DYS576, DYS389I, DYS635, DYS389II, DYS627, DYS549, DYS593, DYS645, DYS460, DYS458, DYS19, YGATAH4, DYS448, DYS391, DYS557, DYS522, DYS456, DYS390, DYS438, DYS392, DYS518, DYS444, DYS533, DYS570, DYS437, DYS385, DYS449, DYS643, DYS596, DYS393, DYS439, DYS481, DYF387S1, DYS527, DYS447), three insertion/deletion polymorphic markers (Yindels: rs771783753, rs759551978, rs199815934), and an internal quality control (IQC) system. When compared to the YFiler Platinum PCR Amplification kit for database samples, YFiler Platinum Casework kit was developed to include an improved Primer Mix incorporating a brighter TED dye, an updated internal quality control system, better resolution of large DNA fragments in Applied Biosystems POP-4 Polymer, and reduced female DNA cross-reactivity. Here, we report the results of the developmental validation study which followed the Scientific Working Group on DNA Analysis Methods (SWGDAM) guidelines and includes data for PCR-based studies, sensitivity, species specificity, stability, precision, reproducibility and repeatability, population concordance, stutter, DNA mixtures, and performance on mock casework samples. The results validate the multiplex design as well as demonstrate the kit’s robustness, reliability, and suitability as an assay for human identification with casework DNA samples.
The effect of caponization on bone homeostasis of crossbred roosters. I. Analysis of tibia bone mineralization, densitometric, osteometric, geometric and biomechanical properties
Authors: Wojciechowska-Puchałka J. , Calik J. , Krawczyk J. , Obrzut J. , Tomaszewska E. , Muszyński S. , Wojtysiak D. 
Published: September 2023

AbstractThe presented study focuses on assessing the effect of caponization on the densitometric, osteometric, geometric and biomechanical parameters of tibial bones in crossbred chickens. The study was carried out on 96 hybrids between Yellowleg Partridge hens (Ż-33) and Rhode Island Red cockerels (R-11) aged 16 weeks, 20 weeks and 24 weeks. Birds were randomly assigned to 2 groups-the control group (n = 48; which consisted of intact roosters) and the experimental group (n = 48, which consisted of individuals subjected to caponization at the age of 8 weeks). The caponization had no effect on the densitometric, osteometric and geometric parameters (except the horizontal internal diameter of 16-week-old individuals) of tibia bone, as well as the content of calcium (Ca), phosphorus (P) and the Ca/P ratio in the bone mineral fraction in all analyzed age groups of animals. However, it contributes to a lower percentage of ash in the bones of capons at 20 and 24 weeks of age compared to cockerels. On the contrary, some mechanical and material parameters show the negative effect of caponization. Ultimate load and bending moment decreased in capons in all of the analyzed age groups of animals and yield load, stiffness and ultimate stress also decreased but only in the group of 20-week-old and 24-week-old individuals. This can contribute to the weakening of the capon bones, and in the perspective of prolonged maintenance to their deformation and even fracture.
Research on industrial carbon emission prediction and resistance analysis based on CEI-EGM-RM method: a case study of Bengbu
Authors: Dai Dawei , Zhou Biao , Zhao Shuhang , Li Kexin , Liu Yuewen 
Published: September 2023

AbstractThis paper focuses on the development trend of industrial carbon emissions in Bengbu city, Anhui Province in the next ten years, and how to help the industry reach the carbon peak as soon as possible. The research process and conclusions are as follows: (1) Through literature review and carbon emission index method, five main factors affecting industrial carbon emission are identified. (2) The resistance model is used to analyze the main resistance factors of industrial carbon emission reduction in Bengbu city. (3) Based on the existing data of Bengbu city from 2011 to 2020, the grey prediction EGM (1,1) model is used to predict the industrial carbon emissions of Bengbu city from 2021 to 2030. The results show that among the five factors, the urbanization rate has the most significant impact on industrial carbon emissions, while energy intensity has the least impact. Bengbu’s industrial carbon emissions will continue to increase in the next decade, but the growth rate will be flat. Based on the findings of the analysis, specific recommendations on urbanization development, energy structure, and industrial structure of Bengbu city are put forward.
Comparison of cardiometabolic risk factors between obese and non-obese patients with nonalcoholic fatty liver disease
Authors: Yari Zahra , Fotros Danial , Hekmatdoost Azita 
Published: September 2023

AbstractNonalcoholic fatty liver disease (NAFLD) is closely associated with cardiometabolic abnormalities. This association could be partly influenced by weight, but not entirely. This study aimed to compare the cardiometabolic risk factors between obese and non-obese NAFLD patients, and explored the relationship between adiposity and severity of fatty liver. This cross-sectional study included 452 patients with Fibroscan-proven NAFLD. Anthropometric measurements, metabolic components and hepatic histological features were evaluated. The risk of metabolic syndrome in each body mass index (BMI) category was analyzed using logistic regression. The prevalence of metabolic syndrome was 10.2%, 27.7%, and 62.1% in normal-weight, overweight and obese participants. Regression analysis showed that the risk of metabolic syndrome in overweight and obese NAFLD patients was 3.74 and 4.85 times higher than in patients with normal weight, respectively. Waist circumference (β = 0.770, P < 0.001) and serum concentration of fasting blood glucose (β = 0.193, P = 0.002) and triglyceride (β = 0.432, P < 0.001) were the determinants of metabolic syndrome occurrence in NAFLD patients. Metabolic abnormalities were similar in obese and non-obese NAFLD patients, although, the increase in BMI was associated with an increased risk of metabolic syndrome in patients.