bluuebunny/crossref_metadata_2025_split huggingface dataset:
Endogenous Energy Stores Maintain a High ATP Concentration for Hours in Glucose-Depleted Cultured Primary Rat Astrocytes
Authors: Harders Antonia Regina , Arend Christian , Denieffe Sadhbh Cynth , Berger Julius , Dringen Ralf 
Published: March 2023

AbstractAdenosine triphosphate (ATP) is the central energy currency of all cells. Cultured primary rat astrocytes contain a specific cellular ATP content of 27.9 ± 4.7 nmol/mg. During incubation in a glucose- and amino acid-free incubation buffer, this high cellular ATP content was maintained for at least 6 h, while within 24 h the levels of ATP declined to around 30% of the initial value without compromising cell viability. In contrast, cells exposed to 1 mM and 5 mM glucose maintained the initial high cellular ATP content for 24 and 72 h, respectively. The loss in cellular ATP content observed during a 24 h glucose-deprivation was fully prevented by the presence of glucose, fructose or mannose as well as by the mitochondrial substrates lactate, pyruvate, β-hydroxybutyrate or acetate. The high initial specific ATP content in glucose-starved astrocytes, was almost completely abolished within 30 min after application of the respiratory chain inhibitor antimycin A or the mitochondrial uncoupler BAM-15, while these inhibitors lowered in glucose-fed cells the ATP content only to 60% (BAM-15) and 40% (antimycin A) within 5 h. Inhibition of the mitochondrial pyruvate carrier by UK5099 alone or of mitochondrial fatty acid uptake by etomoxir alone hardly affected the high ATP content of glucose-deprived astrocytes during an incubation for 8 h, while the co-application of both inhibitors depleted cellular ATP levels almost completely within 5 h. These data underline the importance of mitochondrial metabolism for the ATP regeneration of astrocytes and demonstrate that the mitochondrial oxidation of pyruvate and fatty acids strongly contributes to the maintenance of a high ATP concentration in glucose-deprived astrocytes.
Collective teacher culture and school goal structure: Associations with teacher self-efficacy and engagement
Authors: Skaalvik Einar M. , Skaalvik Sidsel 
Published: March 2023

AbstractOne purpose of this study was to test a model of a collective teacher culture (CTC) proposed by Skaalvik and Skaalvik (Skaalvik and Skaalvik, Social Psychology of Education 24:1389–1406, 2021). In this model, a second-order CTC variable was indicated by four first-order variables: positive and supportive social relations with colleagues, collective teacher efficacy, shared goals and values, and value consonance. A second purpose was to test how a CTC was associated with teachers’ perceptions of the school goal structure (learning and performance goal structures). A third purpose was to explore relations between the two dimensions of the school goal structure, CTC, teacher self-efficacy, and teacher engagement. Participants in the study were 1145 teachers in elementary school, middle school, and high school. The data were analyzed by means of confirmatory factor analyses and SEM analysis. The factor analyses supported the proposed model and revealed that a CTC was positively and strongly associated with a learning goal structure and positively and moderately associated with both teacher self-efficacy and teacher engagement. In contrast, a CTC was negatively associated with a performance goal structure. A learning goal structure was also positively associated with teacher self-efficacy and engagement. In the SEM model, CTC partly mediated the associations between a learning goal structure and teacher self-efficacy and engagement.
Temporary immersion bioreactors as a useful tool for obtaining high productivity of phenolic compounds with strong antioxidant properties from Pontechium maculatum
Authors: Makowski Wojciech , Królicka Aleksandra , Tokarz Barbara , Szopa Agnieszka , Ekiert Halina , Tokarz Krzysztof Michał 
Published: March 2023

AbstractPontechium maculatum (Russian bugloss) is a medical plant belonging to the family Boraginaceae. Although this species is known as a medical plant rich in biologically active secondary metabolites, biotechnological studies about this valuable plant is still missing. The scientific objectives of this study were to investigate the biomass production, synthesis, and productivity of various phenolic acids, flavonoids, and shikonin in P. maculatum cultivated in various breeding systems. Additionally, the antioxidant activity of plant-derived extracts was evaluated. Plants were cultivated in a traditional agar-solidified medium, a liquid medium with rotary shaking, and a temporary immersion bioreactors Plantform™ (TIB), as well as cultivated in soil (ex vitro conditions). Analyses of the growth index and dry weight accumulation were performed on the collected material. In the extracts obtained from examined plants, total phenolic content was estimated, and qualitative and quantitative analysis of phenolic derivatives using DAD-HPLC was conducted, simultaneously with an analysis of antioxidant capacity. TIB stimulated the highest synthesis of all examined phenolic acids and shikonin. In TIB-cultivated shoots level of rosmarinic acid obtained a concentration of 3160.76 mg × 100 g− 1 dry weight (DW), and shikonin obtained a concentration of 77.26 mg × 100 g− 1 DW. Furthermore, plants from TIB were characterized by the highest productivity of all studied phenolic derivatives, what makes it very effective platform for the synthesis of biologically active secondary metabolites in Russian bugloss. Moreover, this article shows that P. maculatum is a rich source of various phenolic derivatives with high antioxidant potential.
Recidivism of Individuals Who Completed Schedule I Drugs Deferred Prosecution Treatment: A Population-Based Follow-Up Study from 2008 to 2020 in Taiwan
Authors: Ku Yi-Chien , Chung Hung-Ping , Hsu Chia-Yu , Cheng Yuan-Hao , Hsu Freya In-Chu , Tsai Yi-Chia , Chao En , Lee Tony Szu-Hsien 
Published: March 2023

AbstractDeferred Prosecution with Condition to Complete the Addiction Treatment (DPCCAT) is a judicial diversion program in Taiwan that shifts people who use drugs away from the label drug offender and toward the label patient. However, little is known about the effectiveness of completing a DPCCAT program on people who use drugs. Using a nationwide population-based retrospective panel data from 2008 to 2020, recidivism is defined as a person was caught urine positive and charged by a prosecutor after their completion of DPCCAT. After controlled gender, age, and region, comparisons of recidivism rates and time to relapse between Schedule I drug use only, Schedule I & II drug use, and heterogeneous group were examined. Of 24,248 participants with DPCCAT, 11,141 (46%) completed the one-year treatment program. Of completers, the five-year recidivism rates are significantly lower for the Schedule I drug use only (26%) than Schedule I & II drugs use (52%) and heterogeneous group (47%). Results from Cox regression indicated that the duration of recidivate to drug use is significantly longer for the Schedule I drug only than the other two groups after controlling for demographics. The main findings support that completion of a DPCCAT program only reduces the risk of recidivism for people who use Schedule I drug only and is less effective for polydrug users and heterogeneous group. We suggest that characteristics of people who use drugs and other criminal offenses should be taken into consideration for triage when DPCCAT is offered.
Position paper on CDK4/6 inhibitors in early breast cancer
Authors: Gnant Michael , Singer Christian F. , Rinnerthaler Gabriel , Pfeiler Georg , Egle Daniel , Balic Marija , Bartsch Rupert 
Published: March 2023

SummaryInhibitors of the cyclin-dependent kinases 4/6 (CDK4/6i) have been practice-changing and are now considered the standard of care in combination with endocrine therapy for the first- or second-line treatment in advanced hormone-receptor-positive, human epidermal growth factor receptor 2‑negative breast cancer. Recently, CDK4/6i have also emerged as an appealing targeted cancer therapy in early breast cancer, however results of large clinical trials are controversial. This position paper summarizes the evidence, and provides guidance for clinical practice.
Lower limit of effective reservoir physical properties and controlling factors of medium-deep clastic reservoirs: a case study of the Dawangzhuang area in Raoyang sag, Bohai Bay Basin
Authors: Zhai Chenyu , Lv Chuanbing , Gao Renan , Li Fengqun , Xie Jun , Yu Shanshan , Zhang Zhimin , Mou Yingshun , Wang Hongmei 
Published: March 2023

AbstractWith the continuous improvement of oil and gas exploration in the middle and shallow layers, the deep Paleogene in Raoyang sag has become an important exploration field of “increasing reserves and production” in North China. The recognition and control factors of deep effective reservoirs are unclear, which restricts the recognition effect of oil and gas exploration. The key to identify effective reservoirs is to determine the lower limit standard of reservoir physical properties. The single method for calculating the lower limit of physical properties has limitations. The lower limit of the effective reservoir physical properties of the Shahejie Formation in the Dawangzhuang area was obtained by comprehensively using physical property, well logging and oil test data. The data were analysed by oil testing method, metre oil production index test method and frequency curve intersection method. On this basis, combined with the cast thin-section observations, scanning electron microscopy and other test results, the comprehensive control of effective reservoir development of the Shahejie Formation in the Dawangzhuang area of the Raoyang sag was studied from various factors, such as formation pressure, sand body thickness and diagenesis. The results show that the lower limit of porosity was 9.73, 9.44 and 8.85% at depths of Es1, Es2 and Es3, respectively. The lower limit of permeability was 1.21 × 10–3, 1.18 × 10–3 and 0.59 × 10–3 μm2, respectively. Effective reservoirs are easier to form in areas with formation pressure coefficient greater than 1.2. Formation overpressure inhibits compaction and promotes dissolution. The proportion of effective reservoirs of sand bodies with thicknesses greater than 2 m can reach more than 75%. The influence of diagenesis on the reservoir is mainly manifested in compaction and cementation making the reservoir compact. The porosity reduction rate caused by compaction can reach 20–75%, while dissolution makes the reservoir form secondary pores. The average pore throat radius of secondary pores can reach 4 ~ 6.3 µm. This study makes use of the applicability of different methods, which is more instructive for predicting the effective reservoir of the Shahejie Formation in the study area. In addition, the research results provide a reference for the development mechanism of medium-deep clastic reservoirs.
Prediction of wing buffet pressure loads using a convolutional and recurrent neural network framework
Authors: Zahn R. , Weiner A. , Breitsamter C. 
Published: March 2023

AbstractIn the present study, a hybrid deep learning reduced-order model (ROM) is applied for the prediction of wing buffet pressure distributions on a civil aircraft configuration. The hybrid model is compound of a convolutional variational neural network autoencoder (CNN-VAR-AE) and a long short-term memory (LSTM) neural network. The CNN-VAR-AE is used for the reduction of the high-dimensional flow field data, whereas the LSTM is applied to predict the temporal evolution of the pressure distributions. For training the neural network, experimental buffet data obtained by unsteady pressure sensitive paint measurement (iPSP), is applied. As a test case, the Airbus XRF-1 configuration is selected, considering two different experimental setups. The first setup is defined by a wind tunnel model with a clean wing, whereas the second setup includes an ultra high bypass ratio engine nacelle on each wing. Both configurations have been tested in the European Transonic Windtunnel, considering several transonic buffet conditions. Finalizing the training of the hybrid neural networks, the trained models are applied for the prediction of buffet flow conditions which are not included in the training data set. A comparison of the experimental results and the pressure distributions predicted by the hybrid ROMs indicate a precise prediction performance. Considering both aircraft configurations, the main buffet flow features are captured by the hybrid ROMs.
Laser texturing of piston ring for tribological performance improvement
Authors: Ferreira Rita , Carvalho Óscar , Sobral Luís , Carvalho Sandra , Silva Filipe 
Published: March 2023

AbstractThe radial surface coating layer of compression piston rings is used to improve their wear resistance during the internal combustion engine operation. However, at top dead centers, the friction coefficient of the piston ring-cylinder liner pair is detrimental to the engine’s tribological performance. In this work, dimples with different texture dimensions and densities were tested in a home-developed tribometer. The friction coefficient was measured for all samples, and for those with the best results, their wear resistance was assessed. The texture with an aspect ratio of 0.25 and a density area of 15% reported the best tribological results.
Comparison of Pretreatment Methods for Organic-matter Removal and their Effects on the Hydrogen Isotope (δ2H) Composition of Kaolinite
Authors: Samanta Arpita , Bera M. K. , Sreenivasan Sruthi P. , Sarkar Anindya 
Published: March 2023

AbstractThe hydrogen isotopic composition (δ2H) of authigenic clay minerals has been used extensively in paleoclimate studies. The separation of clay minerals from sediments/soils, using various chemicals, is a prerequisite for isotope ratio measurements, where carbonate, Fe-(oxyhydr)oxides, and organic matter are removed successively from the sediments for a greater clay yield. The commonly adopted organic matter-removal method using hydrogen peroxide (H2O2) is thought to either alter directly the pristine δ2H values of the smectite clay minerals or to introduce organic hydrogen-bearing impurities through the ineffective removal of organic matter. The objective of the present study was to test whether H2O2 treatment can alter the δ2H values of kaolinite (Kln) by comparing two organic matter-removal methods, namely, H2O2 and disodium peroxodisulfate (Na2S2O8) combined with a neutral buffer. In doing so, kaolinite-rich, old (~56 Ma) sediment samples and pure kaolinite internal laboratory reference materials were used to understand the effectiveness and suitability of the above-mentioned methods in clay-sample preparation for δ2H measurements. The δ2H values of the H2O2-treated aliquots show smaller δ2H values than those for the Na2S2O8-treated aliquots. Estimated ambient water δ18O values (−4‰) from the Na2S2O8-treated aliquots agreed well with the bio-phosphate (fish vertebrae) based environmental water δ18O estimation (−3.3‰). The present study indicated, therefore, that δ2H values obtained after Na2S2O8 treatment are likely to be more realistic for paleoclimate reconstruction.
A forecasting method of multi-category product sales: analysis and application
Authors: Wang Jing , Luo Ling 
Published: March 2023

AbstractTo solve the problems of high prediction costs and difficult practices in multi-category product classification in the retail industry, optimize the inventory, and improve resilience, this work introduces a forecasting method for multi-category product sales. The forecasting method divides the data into a category set and a numerical set, uses the stacking strategy, and combines it with catboost, decision tree, and extreme gradient boosting. During the feature engineering process, the ratio and classification features are added to the category feature set; the sales attare used for training to obtain the prediction at (t + 1); and the features used in the prediction at time (t + 1) are generated by the prediction results att. The update processes of the two sets are combined to form a joint feature update mechanism, and multiple features ofkcategories are jointly updated. Using this method, data of all categories of retail stores can be linked so that historical data of different categories of goods can provide support for the prediction of each category of goods and solve the problem of insufficient product data and features. The method is verified on the retail sales data obtained from the Kaggle platform, and the mean absolute error and weighted mean absolute percentage error are adopted to analyze the performance of the model. The results reveal that the forecasting method can provide a useful reference to decision-makers.
Design and Implementation of Clinical LIS360 Laboratory Management System Based on AI Technology
Authors: Fu Qiang , Lai Jianfeng , Zhong Tingting , Ran Li 
Published: March 2023

AbstractIn order to realize the automation, standardization, and informatization of clinical laboratory work, this research topic develops and accomplishes a set of laboratory information systems (LISs). According to the design methods of software engineering, we first understand user’s demand and the current work situation of clinical laboratory and establish the system case model using Unified Modeling Language (UML) modeling technique. During the system design period, we explain the key technology theories, network structure, system security policy and the connection scheme with hospital information system (HIS). During the system function design period, the system was designed with 6 modules, they are daily inspection work, inquire and statistics, quality control, data dictionary, system configuration, and other tools. Through establishing database model, we accomplish the system database structure design. After the system design, we perform system implementation and test, to show the interface of system implementation and test plan accordingly. The development and application of LIS360 laboratory information management system can greatly improve the management level of laboratory and promote the standardization, modernization, and science of laboratory management. This system has solved the traditional mode of sending test report sheet manually for many years in the laboratory and won valuable time for clinicians to know the patient's condition in time.
A robust transfer deep stochastic configuration network for industrial data modeling
Authors: Guo Jingcheng , Yan Aijun , Tang Jian 
Published: March 2023

AbstractA robust transfer deep stochastic configuration network for industrial data modeling is proposed to address challenging problems such as the presence of outliers (or noise) and conditional drift of the data model due to changes in working conditions. Assuming that outliers follow the t-distribution, the maximum a posteriori estimation is employed to evaluate the read-out weights, and the expectation maximization algorithm is used to iteratively optimize the hyperparameters of the distribution. Moreover, the knowledge contained in the data are expressed in the form of the model structure, connection weights and outlier distribution, and a knowledge-data-based robust transfer strategy is developed to offset the impact of insufficient training data on the learning performance of a deep stochastic configuration network with a new working condition. Comparative experiments are carried out using the historical furnace temperature data of a municipal solid waste incineration plant in China. The results show that the proposed method performs more favorably in robust data modeling and mitigates the impact of changes in working conditions on the applicability and accuracy.
On the robustness of vision transformers for in-flight monocular depth estimation
Authors: Ercolino Simone , Devoto Alessio , Monorchio Luca , Santini Matteo , Mazzaro Silvio , Scardapane Simone 
Published: March 2023

AbstractMonocular depth estimation (MDE) has shown impressive performance recently, even in zero-shot or few-shot scenarios. In this paper, we consider the use of MDE on board low-altitude drone flights, which is required in a number of safety-critical and monitoring operations. In particular, we evaluate a state-of-the-art vision transformer (ViT) variant, pre-trained on a massive MDE dataset. We test it both in a zero-shot scenario and after fine-tuning on a dataset of flight records, and compare its performance to that of a classical fully convolutional network. In addition, we evaluate for the first time whether these models are susceptible to adversarial attacks, by optimizing a small adversarial patch that generalizes across scenarios. We investigate several variants of losses for this task, including weighted error losses in which we can customize the design of the patch to selectively decrease the performance of the model on a desired depth range. Overall, our results highlight that (a) ViTs can outperform convolutive models in this context after a proper fine-tuning, and (b) they appear to be more robust to adversarial attacks designed in the form of patches, which is a crucial property for this family of tasks.
Selenium intakes in the Irish adult population
Authors: Buffini Maria , Nugent Anne P. , Walton Janette , Flynn Albert , McNulty Breige A. 
Published: March 2023

Abstract
Selenium (Se) is an essential trace element which has an important role as a constituent of seleno-proteins involved in various physiological processes. Previous research in Irish adults suggests that intakes of this important nutrient are suboptimal. The aim of the present study was to estimate the current intakes and major food sources of Se by Irish adults. Mean daily intakes (MDIs) of Se were calculated using data from the National Adult Nutrition Survey which involved 1500 Irish adults aged 18–90 years. The Se content of foods and drinks consumed over a 4-d period was determined using data from the Irish Total Diet Study (TDS). Adequacy of Se intakes was assessed by calculating the proportion of the population with intakes below the adequate intake (AI) of 70 μg/d and lower reference nutrient intake of 40 μg/d (LRNI). The MDI of Se in the total population was 71⋅7 μg/d, with significantly higher intakes reported in men (80⋅2 μg/d) compared with women (63⋅4 μg/d, P < 0⋅01). Meat and meat products were the major contributing food group to Se intakes for both men (37 %) and women (31 %). Overall, 47 % of the population were not meeting the recommended AI, while 4 % of the total population were not meeting the LRNI. Although the average intake of Se is above the AI, a significant proportion of the population is not meeting this recommendation and continued monitoring of Se intakes is necessary, particularly by at-risk groups and also in the context of sustainability.