bluuebunny/crossref_metadata_2025_split huggingface dataset:
Common and differential mode of dc-bias in three-phase power transformers
Authors: Wang Wei , Nysveen Arne , Magnusson Niklas 
Published: July 2022

AbstractDc magnetization due to the geomagnetically induced currents (GICs) and HVDC (High Voltage Direct Current) systems may cause core saturation and result in serious destruction in the transformer performance as well as the power system stability. Based on susceptibility, transformers are classified into different groups. For instance, a three-phase, three-limb transformer is considered less vulnerable to effects of GIC compared to a single-phase or a three-phase, five-limb transformer. However, our study shows that such classifications do not apply to the dc magnetization caused by converter modulation. In this article, we introduce the concept of common mode and differential mode to distinguish dc-bias caused by different mechanisms. Main focus is given on differential mode dc current since it has rarely been reported in any literature. The differential mode dc current was demonstrated by system simulations of classic three-level voltage source converters as well as modular multilevel converter. Detailed experimental investigations were made on a three-phase, three-limb transformer, where the loss impact as well as reactive power consumption were studied. The test shows a significant difference in stray loss between the two modes in three-phase power transformers. Finally, we discuss the effect of delta winding on dc-bias of different modes.
Timber tensile strength in mixed stands of European beech (Fagus sylvatica L.)
Authors: Rais Andreas , Kovryga Andriy , Pretzsch Hans , van de Kuilen Jan-Willem G. 
Published: July 2022

AbstractThe conversion to climate-stable, resilient and productive forests has resulted in an increasing share of mixed stands. Different growth conditions and silvicultural treatments lead to an increased scatter in strength compared to what is expected from monoculture experience. The study (i) quantified the magnitude of variation in strength of European beech timber from stands of different composition and (ii) showed the impact of grading on the characteristic strength value of timber coming from those stands. Strength grading models and machine settings for hardwood tensile classes on over 900 European beech (Fagus sylvatica L.) boards were derived. One model used only the dynamic modulus of elasticity (Edyn), and a more complex model used a knot value in addition. Afterwards, 407 boards from pure beech stands as well as mixed stands of beech with Douglas fir (Pseudotsuga menziesii (Mirb.) Franco), Norway spruce (Picea abies (L.) Karst.), sessile oak (Quercus petraea (Matt.) Liebl.), and Scots pine (Pinus sylvestris L.) were graded and analyzed for their material properties from tension tests parallel to grain. Although a variance components analysis attributed only 4.2% of the variation to mixture, the ungraded timber showed significant strength differences between the pure and the beech-pine stands (65.2 versus 46.6 MPa). The yield of the material graded to the highest class in a class combination was higher in pure beech stands. The required characteristic strength values were mostly met for boards from the pure stands; while boards from the beech-pine mixed stands hardly ever reached the required values. To reduce strength variation and guarantee reliable timber products, strength grading should consider the various growth situations in forests when sampling material for the derivation of settings.
Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall
Authors: Bargiotas Ioannis , Wang Danping , Mantilla Juan , Quijoux Flavien , Moreau Albane , Vidal Catherine , Barrois Remi , Nicolai Alice , Audiffren Julien , Labourdette Christophe , Bertin‐Hugaul François , Oudre Laurent , Buffat Stephane , Yelnik Alain , Ricard Damien , Vayatis Nicolas , Vidal Pierre-Paul 
Published: July 2022

AbstractNowadays, it becomes of paramount societal importance to support many frail-prone groups in our society (elderly, patients with neurodegenerative diseases, etc.) to remain socially and physically active, maintain their quality of life, and avoid their loss of autonomy. Once older people enter the prefrail stage, they are already likely to experience falls whose consequences may accelerate the deterioration of their quality of life (injuries, fear of falling, reduction of physical activity). In that context, detecting frailty and high risk of fall at an early stage is the first line of defense against the detrimental consequences of fall. The second line of defense would be to develop original protocols to detect future fallers before any fall occur. This paper briefly summarizes the current advancements and perspectives that may arise from the combination of affordable and easy-to-use non-wearable systems (force platforms, 3D tracking motion systems), wearable systems (accelerometers, gyroscopes, inertial measurement units-IMUs) with appropriate machine learning analytics, as well as the efforts to address these challenges.
Microclimatic conditions mediate the effect of deadwood and forest characteristics on a threatened beetle species, Tragosoma depsarium
Authors: Lindman Ly , Öckinger Erik , Ranius Thomas 
Published: July 2022

AbstractWhile climate change has increased the interest in the influence of microclimate on many organisms, species inhabiting deadwood have rarely been studied. Here, we explore how characteristics of forest stands and deadwood affect microclimate inside deadwood, and analyse how this affects wood-living organisms, exemplified by the red-listed beetle Tragosoma depsarium. Deadwood and forest variables explained much of the variation in temperature, but less of the variation in moisture within deadwood. Several variables known to influence habitat quality for deadwood-dependent species were found to correlate with microclimate. Standing deadwood and an open canopy generates warmer conditions in comparison to downed logs and a closed canopy, and shaded, downed and large-diameter wood have higher moisture and more stable daily temperatures than sun-exposed, standing, and small-diameter wood. T. depsarium occupancy and abundance increased with colder and more stable winter temperatures, and with higher spring temperatures. Consistently, the species occurred more frequently in deadwood items with characteristics associated with these conditions, i.e. downed large-diameter logs occurring in open conditions. Conclusively, microclimatic conditions were found to be important for a deadwood-dependent insect, and related to characteristics of both forest stands and deadwood items. Since microclimate is also affected by macroclimatic conditions, we expect species’ habitat requirements to vary locally and regionally, and to change due to climate warming. Although many saproxylic species preferring sun-exposed conditions would benefit from a warmer climate per se, changes in species interactions and land use may still result in negative net effects of climate warming.
Sorafenib as adjuvant therapy following radiofrequency ablation for recurrent hepatocellular carcinoma within Milan criteria: a multicenter analysis
Authors: Zhou Qunfang , Wang Xiaohui , Li Ruixia , Wang Chenmeng , Wang Juncheng , Xie Xiaoyan , Li Yali , Li Shaoqiang , Mao Xianhai , Liang Ping 
Published: July 2022

Abstract
Background
Radiofrequency ablation (RFA) is considered as a convenient treatment with mild damage in treating recurrent hepatocellular carcinoma (RHCC). However, for patients with high risk of progression after RFA still needs new strategies to decrease the repeat recurrence.

Methods
A total of 460 patients with RHCC within Milan criteria in four institutions were enrolled. 174 pairs were enrolled after propensity score matching (PSM). Overall survival (OS) and tumor-free survival (TFS) were compared between the two groups. A quantitative score system was established to screen out the beneficial population from RFA–sorafenib treatment.

Results
The 1-, 3-, and 5-year OS rates were 97.7%, 83.7%, 54.7% for RFA–sorafenib group, and 93.1%, 61.3%, 30.9% for RFA group after PSM, respectively. Compared with the RFA group, the RFA–sorafenib group had significantly better OS (P < 0.001). The 1-, 3-, and 5-year TFS rates were 90.8%, 49.0%, 20.4% for RFA–sorafenib group, and 67.8%, 28.0%, 14.5% for RFA group after PSM. The difference was observed significantly between RFA–sorafenib group and RFA group (P < 0.001). A quantitative risk score system was established to precisely screen out the beneficial population from RFA–sorafenib treatment.

Conclusions
Adjuvant sorafenib after RFA was superior to RFA alone in improving survival outcomes in patients with recurrent HCC within Milan criteria after initial hepatectomy. Subgroup analyses concluded that patients with high risk score had significantly longer survival from sorafenib administration.
Gestational diabetes mellitus and cardio-metabolic risk factors in women and children at 3 years postpartum
Authors: Pathirana Maleesa M. , Andraweera Prabha H. , Aldridge Emily , Leemaqz Shalem Y. , Harrison Madeline , Harrison Jade , Verburg Petra E. , Arstall Margaret A. , Dekker Gustaaf A. , Roberts Claire T. 
Published: July 2022

AbstractIntroductionGestational diabetes mellitus (GDM) is thought to be associated with cardio-metabolic risk factor development in women and their children during the early postpartum period and early childhood. We hypothesized that these women and their children would exhibit increased abnormal cardio-metabolic risk factors three years after pregnancy.MethodsWomen from the Screening Tests to Predict Poor Outcomes of Pregnancy study were invited to attend a follow-up with the child from their index pregnancy at 3 years postpartum. Women and children were assessed for anthropometric measures and haemodynamic function. Fasting blood samples were obtained from women to assess lipid and glucose status.ResultsA total of 281 woman-child dyads participated in the 3-year follow-up, with 40 women developing GDM during their index pregnancy. Fasting serum insulin was higher in women with GDM in index pregnancy compared to those with an uncomplicated pregnancy. However, this association was mediated by early pregnancy BMI and socioeconomic index (SEI). The rate of metabolic syndrome was higher in the GDM group than the uncomplicated pregnancy group. Maternal GDM was associated with elevated maternal fasting serum triglycerides at 3 years after adjustment for early pregnancy BMI and SEI. Children exposed to GDM in utero had higher waist circumference compared to children born after an uncomplicated pregnancy, but this is mediated the above covariates.ConclusionExposure to GDM is associated with elevated serum triglycerides in women at 3 years postpartum but other cardiometabolic outcomes in women and children appear to be mediated by early pregnancy BMI and SEI.
Editorial special issue: Statistics in sports
Authors: Groll Andreas , Liebl Dominik 
Published: July 2022

AbstractTriggered by advances in data gathering technologies, the use of statistical analyzes, predictions and modeling techniques in sports has gained a rapidly growing interest over the last decades. Today, professional sports teams have access to precise player positioning data and sports scientists design experiments involving non-standard data structures like movement-trajectories. This special issue on statistics in sports is dedicated to further foster the development of statistics and its applications in sports. The contributed articles address a wide range of statistical problems such as statistical methods for prediction of game outcomes, for prevention of sports injuries, for analyzing sports science data from movement laboratories, for measurement and evaluation of player performance, etc. Finally, also SARS-CoV-2 pandemic-related impacts on the sport’s framework are investigated.
Digital Intimacy in China and Japan
Authors: Liberati Nicola 
Published: July 2022

AbstractThis paper aims to show a possible path to address the introduction of intimate digital technologies through a phenomenological and postphenomenological perspective in relation to Japanese and Chinese contexts. Digital technologies are becoming intimate, and, in Japan and China, there are already many advanced digital technologies that provide digital companions for love relationships. Phenomenology has extensive research on how love relationships and intimacy shape the subjects. At the same time, postphenomenology provides a sound framework on how technologies shape the values and meanings we have. Thus, this paper introduces two digital technologies in Japan and China (Love Plus and XiaoIce chatbot), and it analyses according to the elements proposed by phenomenology and postphenomenology. In conclusion, this paper shows how digital companions like Love Plus and XiaoIce chatbot change who we are and the values and meanings we have according to the phenomenological and postphenomenological framework. These entities might not be human, but they shape who we are as human beings and the meanings and value we give to love.
Comparison between two packages for pectoral muscle removal on mammographic images
Authors: Sansone Mario , Marrone Stefano , Di Salvio Giusi , Belfiore Maria Paola , Gatta Gianluca , Fusco Roberta , Vanore Laura , Zuiani Chiara , Grassi Francesca , Vietri Maria Teresa , Granata Vincenza , Grassi Roberto 
Published: July 2022

Abstract
Background
Pectoral muscle removal is a fundamental preliminary step in computer-aided diagnosis systems for full-field digital mammography (FFDM). Currently, two open-source publicly available packages (LIBRA and OpenBreast) provide algorithms for pectoral muscle removal within Matlab environment.

Purpose
To compare performance of the two packages on a single database of FFDM images.

Methods
Only mediolateral oblique (MLO) FFDM was considered because of large presence of pectoral muscle on this type of projection. For obtaining ground truth, pectoral muscle has been manually segmented by two radiologists in consensus. Both LIBRA’s and OpenBreast’s removal performance with respect to ground truth were compared using Dice similarity coefficient and Cohen-kappa reliability coefficient; Wilcoxon signed-rank test has been used for assessing differences in performances; Kruskal–Wallis test has been used to verify possible dependence of the performance from the breast density or image laterality.

Results
FFDMs from 168 consecutive women at our institution have been included in the study. Both LIBRA’s Dice-index and Cohen-kappa were significantly higher than OpenBreast (Wilcoxon signed-rank test P < 0.05). No dependence on breast density or laterality has been found (Kruskal–Wallis test P > 0.05). Conclusion: Libra has a better performance than OpenBreast in pectoral muscle delineation so that, although our study has not a direct clinical application, these results are useful in the choice of packages for the development of complex systems for computer-aided breast evaluation.
A GPU-accelerated light-field super-resolution framework based on mixed noise model and weighted regularization
Authors: Tran Trung-Hieu , Sun Kaicong , Simon Sven 
Published: July 2022

AbstractLight-field (LF) super-resolution (SR) plays an essential role in alleviating the current technology challenge in the acquisition of a 4D LF, which assembles both high-density angular and spatial information. Due to the algorithm complexity and data-intensive property of LF images, LFSR demands a significant computational effort and results in a long CPU processing time. This paper presents a GPU-accelerated computational framework for reconstructing high-resolution (HR) LF images under a mixed Gaussian-Impulse noise condition. The main focus is on developing a high-performance approach considering processing speed and reconstruction quality. From a statistical perspective, we derive a joint $$\ell ^1$$

ℓ
1

-$$\ell ^2$$

ℓ
2

data fidelity term for penalizing the HR reconstruction error taking into account the mixed noise situation. For regularization, we employ the weighted non-local total variation approach, which allows us to effectively realize LF image prior through a proper weighting scheme. We show that the alternating direction method of the multipliers algorithm (ADMM) can be used to simplify the computation complexity and results in a high-performance parallel computation on the GPU Platform. An extensive experiment is conducted on both synthetic 4D LF dataset and natural image dataset to validate the proposed SR model’s robustness and evaluate the accelerated optimizer’s performance. The experimental results show that our approach achieves better reconstruction quality under severe mixed-noise conditions as compared to the state-of-the-art approaches. In addition, the proposed approach overcomes the limitation of the previous work in handling large-scale SR tasks. While fitting within a single off-the-shelf GPU, the proposed accelerator provides an average speedup of 2.46$${\times }$$
×
and 1.57$${\times }$$
×
for $${\times }2$$

×
2

and $${\times }3$$

×
3

SR tasks, respectively. In addition, a speedup of $$77{\times }$$

77
×

is achieved as compared to CPU execution.
Board gender diversity and performance in family firms: exploring the faultline of family ties
Authors: García-Meca Emma , Santana-Martín Domingo J. 
Published: July 2022

AbstractUsing a sample of 1134 firm-year observations of non-financial family firms listed on the Spanish stock market in the period 2003–2020, we explore how women directors affect company performance, distinguishing between family and non-family female members on the board. We believe there might be faultlines between family and non-family women on boards that may well impair performance due to differences in agency conflicts and socioemotional links with the family firm. As the number of female family directors grows, we reveal that conflicts with non-family sub-groups become more prevalent, impairing firm performance. Opening boards to non-family women does, however, seem to be an effective way of enhancing firm performance when there is a critical mass of female directors. The results are robust to alternative measures of board gender diversity and different econometric specifications.
Immunonutrition reduces complications rate and length of stay after laparoscopic total gastrectomy: a single unit retrospective study
Authors: Franceschilli Marzia , Siragusa Leandro , Usai Valeria , Dhimolea Sirvjo , Pirozzi Brunella , Sibio Simone , Di Carlo Sara 
Published: July 2022

Abstract
Background
Preoperative immunonutrition (IN) reduces the incidence of postoperative complications in malnourished patients undergoing upper gastrointestinal surgery. However, its effect in norm-nourished patients remains unclear. Furthermore, patients with gastric cancer undergoing laparoscopic total gastrectomy (LTG) are not routinely included in protocols of enhanced recovery after surgery (ERAS).

Objective
The aim of this study was to investigate the effects of perioperative IN in patients undergoing laparoscopic total gastrectomy (LTG) within an established ERAS pathway.

Methods
A comparative retrospective study of patients undergoing LTG, receiving an immune-enhancing feed plus maltodextrin load the day of surgery (Group A) versus patients who had the same operation but no IN nor fast track management (group B).

Results
There were no significant differences in patient demographic characteristics between the two groups but the medium age of patients in group A was older. Thirty-days postoperative complications were respectively 8.7% in Group A and 33.3% in Group B (p 0.04). Mean and median LOS for Group A and B were also significantly different: 7.2 ± 4.4 vs 10.3 ± 5.4 and 7 vs 10 days respectively.

Conclusion
Preoperative IN associated with ERAS protocol in normo-nourished patient undergoing LTG seems to reduce postoperative complications. Reduction in LOS is possibly associated to the ERAS protocol.
Clinical trial registration Clinical trials.gov: NCT05259488
Environmental strategy and the petroleum industry: a sustainability balanced scorecard approach
Authors: Fernández-González Raquel , Puime-Guillén Félix , Vila-Biglieri Jorge Eduardo 
Published: July 2022

AbstractThe institutional framework designed to protect the environment demands a growing involvement of companies. The new environmental paradigm drives the business community to embrace corporate sustainability more broadly and effectively. This trend is especially pronounced in the petroleum sector since, to a greater degree than in other industries, modern society demands that wealth creation be conducted while guaranteeing social and environmental wellbeing. To achieve this aim, it is necessary to implement an environmental management model that links sustainability planning with a control and supervision system. One of the most effective is the Sustainability Balanced Scorecard approach. This method will be used in this article to evaluate the sustainable performance of a Spanish company whose activity is focused on the marketing and distribution of petroleum products. The objective of this article is to analyze the environmental management of the hydrocarbon company and whether the four perspectives of its strategic vision have satisfactorily incorporated variables that promote sustainability. 2021 is the reference year for the indicator values, which will be compared with the target values for 2022. The results show that, while financial performance reveals a margin for improvement, as well as staff education and training in sustainability, the degree of environmental satisfaction of consumers is acceptable.
Profiling target engagement and cellular uptake of cRGD-decorated clinical-stage core-crosslinked polymeric micelles
Authors: De Lorenzi Federica , Rizzo Larissa Yokota , Daware Rasika , Motta Alessandro , Baues Maike , Bartneck Matthias , Vogt Michael , van Zandvoort Marc , Kaps Leonard , Hu Qizhi , Thewissen Marielle , Casettari Luca , Rijcken Cristianne J. F. , Kiessling Fabian , Sofias Alexandros Marios , Lammers Twan 
Published: July 2022

AbstractPolymeric micelles are increasingly explored for tumor-targeted drug delivery. CriPec® technology enables the generation of core‐crosslinked polymeric micelles (CCPMs) based on thermosensitive (mPEG-b-pHPMAmLacn) block copolymers, with high drug loading capacity, tailorable size, and controlled drug release kinetics. In this study, we decorated clinical-stage CCPM with the αvβ3 integrin-targeted cyclic arginine-glycine-aspartic acid (cRGD) peptide, which is one of the most well-known active targeting ligands evaluated preclinically and clinically. Using a panel of cell lines with different expression levels of the αvβ3 integrin receptor and exploring both static and dynamic incubation conditions, we studied the benefit of decorating CCPM with different densities of cRGD. We show that incubation time and temperature, as well as the expression levels of αvβ3 integrin by target cells, positively influence cRGD-CCPM uptake, as demonstated by immunofluorescence staining and fluorescence microscopy. We demonstrate that even very low decoration densities (i.e., 1 mol % cRGD) result in increased engagement and uptake by target cells as compared to peptide-free control CCPM, and that high cRGD decoration densities do not result in a proportional increase in internalization. In this context, it should be kept in mind that a more extensive presence of targeting ligands on the surface of nanomedicines may affect their pharmacokinetic and biodistribution profile. Thus, we suggest a relatively low cRGD decoration density as most suitable for in vivo application.
Graphical Abstract