bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting spatial patterns of soil bacteria under current and future environmental conditions
Authors: Mod Heidi K , Buri Aline , Yashiro Erika , Guex Nicolas , Malard Lucie , Pinto-Figueroa Eric , Pagni Marco , Niculita-Hirzel Hélène , van der Meer Jan Roelof , Guisan Antoine 
Published: March 2021

Abstract
Soil bacteria are largely missing from future biodiversity assessments hindering comprehensive forecasts of ecosystem changes. Soil bacterial communities are expected to be more strongly driven by pH and less by other edaphic and climatic factors. Thus, alkalinisation or acidification along with climate change may influence soil bacteria, with subsequent influences for example on nutrient cycling and vegetation. Future forecasts of soil bacteria are therefore needed. We applied species distribution modelling (SDM) to quantify the roles of environmental factors in governing spatial abundance distribution of soil bacterial OTUs and to predict how future changes in these factors may change bacterial communities in a temperate mountain area. Models indicated that factors related to soil (especially pH), climate and/or topography explain and predict part of the abundance distribution of most OTUs. This supports the expectations that microorganisms have specific environmental requirements (i.e., niches/envelopes) and that they should accordingly respond to environmental changes. Our predictions indicate a stronger role of pH over other predictors (e.g. climate) in governing distributions of bacteria, yet the predicted future changes in bacteria communities are smaller than their current variation across space. The extent of bacterial community change predictions varies as a function of elevation, but in general, deviations from neutral soil pH are expected to decrease abundances and diversity of bacteria. Our findings highlight the need to account for edaphic changes, along with climate changes, in future forecasts of soil bacteria.
Microbial metabolism and necromass mediated fertilization effect on soil organic carbon after long-term community incubation in different climates
Authors: Ni Haowei , Jing Xiaoyan , Xiao Xian , Zhang Na , Wang Xiaoyue , Sui Yueyu , Sun Bo , Liang Yuting 
Published: March 2021

Abstract
Understanding the effects of changing climate and long-term human activities on soil organic carbon (SOC) and the mediating roles of microorganisms is critical to maintain soil C stability in agricultural ecosystem. Here, we took samples from a long-term soil transplantation experiment, in which large transects of Mollisol soil in a cold temperate region were translocated to warm temperate and mid-subtropical regions to simulate different climate conditions, with a fertilization treatment on top. This study aimed to understand fertilization effect on SOC and the role of soil microorganisms featured after long-term community incubation in warm climates. After 12 years of soil transplantation, fertilization led to less reduction of SOC, in which aromatic C increased and the consumption of O-alkyl C and carbonyl C decreased. Soil live microbes were analyzed using propidium monoazide to remove DNAs from dead cells, and their network modulization explained 60.4% of variations in soil labile C. Single-cell Raman spectroscopy combined with D2O isotope labeling indicated a higher metabolic activity of live microbes to use easily degradable C after soil transplantation. Compared with non-fertilization, there was a significant decrease in soil α- and β-glucosidase and delay on microbial growth with fertilization in warmer climate. Moreover, fertilization significantly increased microbial necromass as indicated by amino sugar content, and its contribution to soil resistant C reached 22.3%. This study evidentially highlights the substantial contribution of soil microbial metabolism and necromass to refractory C of SOC with addition of nutrients in the long-term.
OTUB1 prevents lethal hepatocyte necroptosis through stabilization of c-IAP1 during murine liver inflammation
Authors: Koschel Josephin , Nishanth Gopala , Just Sissy , Harit Kunjan , Kröger Andrea , Deckert Martina , Naumann Michael , Schlüter Dirk 
Published: March 2021

AbstractIn bacterial and sterile inflammation of the liver, hepatocyte apoptosis is, in contrast to necroptosis, a common feature. The molecular mechanisms preventing hepatocyte necroptosis and the potential consequences of hepatocyte necroptosis are largely unknown. Apoptosis and necroptosis are critically regulated by the ubiquitination of signaling molecules but especially the regulatory function of deubiquitinating enzymes (DUBs) is imperfectly defined. Here, we addressed the role of the DUB OTU domain aldehyde binding-1 (OTUB1) in hepatocyte cell death upon both infection with the hepatocyte-infecting bacterium Listeria monocytogenes (Lm) and D-Galactosamine (DGal)/Tumor necrosis factor (TNF)-induced sterile inflammation. Combined in vivo and in vitro experiments comprising mice lacking OTUB1 specifically in liver parenchymal cells (OTUB1LPC-KO) and human OTUB1-deficient HepG2 cells revealed that OTUB1 prevented hepatocyte necroptosis but not apoptosis upon infection with Lm and DGal/TNF challenge. Lm-induced necroptosis in OTUB1LPC-KO mice resulted in increased alanine aminotransferase (ALT) and lactate dehydrogenase (LDH) release and rapid lethality. Treatment with the receptor-interacting serine/threonine-protein kinase (RIPK) 1 inhibitor necrostatin-1s and deletion of the pseudokinase mixed lineage kinase domain-like protein (MLKL) prevented liver damage and death of infected OTUB1LPC-KO mice. Mechanistically, OTUB1 reduced K48-linked polyubiquitination of the cellular inhibitor of apoptosis 1 (c-IAP1), thereby diminishing its degradation. In the absence of OTUB1, c-IAP1 degradation resulted in reduced K63-linked polyubiquitination and increased phosphorylation of RIPK1, RIPK1/RIPK3 necrosome formation, MLKL-phosphorylation and hepatocyte death. Additionally, OTUB1-deficiency induced RIPK1-dependent extracellular-signal-regulated kinase (ERK) activation and TNF production in Lm-infected hepatocytes. Collectively, these findings identify OTUB1 as a novel regulator of hepatocyte-intrinsic necroptosis and a critical factor for survival of bacterial hepatitis and TNF challenge.
Phase-field model of precipitation processes with coherency loss
Authors: Cheng Tian-Le , Wen You-Hai 
Published: March 2021

AbstractA phase-field model is proposed to simulate coherency loss coupled with microstructure evolution. A special field variable is employed to describe the degree of coherency loss of each particle and its evolution is governed by a Ginzburg-Landau type kinetic equation. For the sake of computational efficiency, a flood-fill algorithm is introduced that can drastically reduce the required number of field variables, which allows the model to efficiently simulate a large number of particles sufficient for characterizing their statistical features during Ostwald ripening. The model can incorporate size dependence of coherency loss, metastability of coherent particles, and effectively incorporate the underlying mechanisms of coherency loss by introducing a so-called differential energy criterion. The model is applied to simulate coarsening of Al3Sc precipitates in aluminum alloy and comprehensively compared with experiments. Our results clearly show how the particle size distribution is changed during coherency loss and affects the coarsening rate.
Underestimation of respiratory symptoms by smokers: a thorn in chronic obstructive pulmonary disease diagnosis
Authors: Gogou Evdoxia , Kotsiou Ourania S. , Siachpazidou Dimitra S. , Pinaka Maria , Varsamas Charalampos , Bardaka Fotini , Gerogianni Irini , Hatzoglou Chrysi , Gourgoulianis Konstantinos I. 
Published: March 2021

AbstractPrimary care centers are ideal positions to identify chronic obstructive pulmonary disease (COPD). We determined the COPD prevalence among ever-smokers aged 40–65 years attending a 2-year program conducted in 22 Greek primary healthcare centers and made comparisons between genders, patients less than or greater than 55 years, and newly or previously diagnosed COPD patients. A total of 117 persons, after studying 1100 people, were diagnosed with previously unknown or known COPD, providing a COPD prevalence of 10.6% among the study population. In all, 7.5% of the participants were newly diagnosed with COPD. Women with COPD reported smoking less but experienced worse respiratory and depressive symptoms than men. A total of 19% of the COPD population below 55 years experienced wheezing and exacerbations more frequently than older patients. Newly diagnosed COPD patients were significantly younger, reported a significant burden of symptoms without seeking medical help. Primary health care has a crucial role in the early detection of COPD among unsuspecting smokers.
Leveraging graph-based hierarchical medical entity embedding for healthcare applications
Authors: Wu Tong , Wang Yunlong , Wang Yue , Zhao Emily , Yuan Yilian 
Published: March 2021

AbstractAutomatic representation learning of key entities in electronic health record (EHR) data is a critical step for healthcare data mining that turns heterogeneous medical records into structured and actionable information. Here we propose , an algorithmic framework for learning continuous low-dimensional embedding vectors of the most common entities in EHR: medical services, doctors, and patients. features a hierarchical structure that encapsulates different node embedding schemes to cater for the unique characteristic of each medical entity. To embed medical services, we employ a biased-random-walk-based node embedding that leverages the irregular time intervals of medical services in EHR to embody their relative importance. To embed doctors and patients, we adhere to the principle“it’s what you do that defines you”and derive their embeddings based on their interactions with other types of entities through graph neural network and proximity-preserving network embedding, respectively. Using real-world clinical data, we demonstrate the efficacy of over competitive baselines on diagnosis prediction, readmission prediction, as well as recommending doctors to patients based on their medical conditions. In addition, medical service embeddings pretrained using can substantially improve the performance of sequential models in predicting patients clinical outcomes. Overall, can serve as a general-purpose representation learning algorithm for EHR data and benefit various downstream tasks in terms of both performance and interpretability.
2D exfoliated black phosphorus influences healthy and cancer prostate cell behaviors
Authors: Fasolino Ines , Soriente Alessandra , Caporali Maria , Serrano-Ruiz Manuel , Peruzzini Maurizio , Ambrosio Luigi , Raucci Maria Grazia 
Published: March 2021

AbstractNowadays, prostate cancer is the most widespread tumour in worldwide male population. Actually, brachytherapy is the most advanced radiotherapy strategy for the local treatment of prostate cancer. It consists in the placing of radioactive sources closed to the tumour side thus killing cancer cells. However, brachytherapy causes the same adverse effects of external-beam radiotherapy. Therefore, alternative treatment approaches are required for enhancing radiotherapy effectiveness and reducing toxic symptoms. Nanostructured exfoliated black phosphorus (2D BP) may represent a strategic tool for local cancer therapy because of its capability to induce singlet oxygen production and act as photosensitizer. Hence, we investigated 2D BP in vitro effect on healthy and cancer prostate cell behavior. 2D BP was obtained through liquid exfoliation. 2D BP effect on healthy and cancer prostate cell behaviors was analyzed by investigating cell viability, oxidative stress and inflammatory marker expression. 2D BP inhibited prostate cancer cell survival, meanwhile promoted healthy prostate cell survival in vitro by modulating oxidative stress and immune response with and without near-infrared light (NIR)-irradiation. Nanostructured 2D BP is able to inhibit in vitro prostate cancer cells survival and preserve healthy prostate cell vitality through the control of oxidative stress and immune response, respectively.
Cyst formation in proximal renal tubules caused by dysfunction of the microtubule minus-end regulator CAMSAP3
Authors: Mitsuhata Yuto , Abe Takaya , Misaki Kazuyo , Nakajima Yuna , Kiriya Keita , Kawasaki Miwa , Kiyonari Hiroshi , Takeichi Masatoshi , Toya Mika , Sato Masamitsu 
Published: March 2021

AbstractEpithelial cells organize an ordered array of non-centrosomal microtubules, the minus ends of which are regulated by CAMSAP3. The role of these microtubules in epithelial functions, however, is poorly understood. Here, we show that the kidneys of mice in which Camsap3 is mutated develop cysts at the proximal convoluted tubules (PCTs). PCTs were severely dilated in the mutant kidneys, and they also exhibited enhanced cell proliferation. In these PCTs, epithelial cells became flattened along with perturbation of microtubule arrays as well as of certain subcellular structures such as interdigitating basal processes. Furthermore, YAP and PIEZO1, which are known as mechanosensitive regulators for cell shaping and proliferation, were activated in these mutant PCT cells. These observations suggest that CAMSAP3-mediated microtubule networks are important for maintaining the proper mechanical properties of PCT cells, and its loss triggers cell deformation and proliferation via activation of mechanosensors, resulting in the dilation of PCTs.
Benchmark and application of unsupervised classification approaches for univariate data
Authors: El Abbassi Maria , Overbeck Jan , Braun Oliver , Calame Michel , van der Zant Herre S. J. , Perrin Mickael L. 
Published: March 2021

AbstractUnsupervised machine learning, and in particular data clustering, is a powerful approach for the analysis of datasets and identification of characteristic features occurring throughout a dataset. It is gaining popularity across scientific disciplines and is particularly useful for applications without a priori knowledge of the data structure. Here, we introduce an approach for unsupervised data classification of any dataset consisting of a series of univariate measurements. It is therefore ideally suited for a wide range of measurement types. We apply it to the field of nanoelectronics and spectroscopy to identify meaningful structures in data sets. We also provide guidelines for the estimation of the optimum number of clusters. In addition, we have performed an extensive benchmark of novel and existing machine learning approaches and observe significant performance differences. Careful selection of the feature space construction method and clustering algorithms for a specific measurement type can therefore greatly improve classification accuracies.
Unravelling the secrets of the resistance of GaN to strongly ionising radiation
Authors: Sequeira Miguel C. , Mattei Jean-Gabriel , Vazquez Henrique , Djurabekova Flyura , Nordlund Kai , Monnet Isabelle , Mota-Santiago Pablo , Kluth Patrick , Grygiel Clara , Zhang Shuo , Alves Eduardo , Lorenz Katharina 
Published: March 2021

AbstractGaN is the most promising upgrade to the traditional Si-based radiation-hard technologies. However, the underlying mechanisms driving its resistance are unclear, especially for strongly ionising radiation. Here, we use swift heavy ions to show that a strong recrystallisation effect induced by the ions is the key mechanism behind the observed resistance. We use atomistic simulations to examine and predict the damage evolution. These show that the recrystallisation lowers the expected damage levels significantly and has strong implications when studying high fluences for which numerous overlaps occur. Moreover, the simulations reveal structures such as point and extended defects, density gradients and voids with excellent agreement between simulation and experiment. We expect that the developed modelling scheme will contribute to improving the design and test of future radiation-resistant GaN-based devices.
Neuroimaging of the Syllable Repetition Task in Children With Residual Speech Sound Disorder
Authors: Spencer Caroline , Vannest Jennifer , Maas Edwin , Preston Jonathan L. , Redle Erin , Maloney Thomas , Boyce Suzanne 
Published: March 2021

Purpose
This study investigated phonological and speech motor neural networks in children with residual speech sound disorder (RSSD) during an overt Syllable Repetition Task (SRT).

Method
Sixteen children with RSSD with /ɹ/ errors (6F [female]; ages 8;0–12;6 [years;months]) and 16 children with typically developing speech (TD; 8F; ages 8;5–13;7) completed a functional magnetic resonance imaging experiment. Children performed the SRT (“SRT-Early Sounds”) with the phonemes /b, d, m, n, ɑ/ and an adapted version (“SRT-Late Sounds”) with the phonemes /ɹ, s, l, tʃ, ɑ/. We compared the functional activation and transcribed production accuracy of the RSSD and TD groups during both conditions. Expected errors were not scored as inaccurate.

Results
No between-group or within-group differences in repetition accuracy were found on the SRT-Early Sounds or SRT-Late Sounds tasks at any syllable sequence length. On a first-level analysis of the tasks, the TD group showed expected patterns of activation for both the SRT-Early Sounds and SRT-Late Sounds, including activation in the left primary motor cortex, left premotor cortex, bilateral anterior cingulate, bilateral primary auditory cortex, bilateral superior temporal gyrus, and bilateral insula. The RSSD group showed similar activation when correcting for multiple comparisons. In further exploratory analyses, we observed the following subthreshold patterns: (a) On the SRT-Early Sounds, greater activation was found in the left premotor cortex for the RSSD group, while greater activation was found in the left cerebellum for the TD group; (b) on the SRT-Late Sounds, a small area of greater activation was found in the right cerebellum for the RSSD group. No within-group functional differences were observed (SRT-Early Sounds vs. SRT-Late Sounds) for either group.

Conclusions
Performance was similar between groups, and likewise, we found that functional activation did not differ. Observed functional differences in previous studies may reflect differences in task performance, rather than fundamental differences in neural mechanisms for syllable repetition.
Adaptive fuzzy fault‐tolerant control of seat active suspension systems with actuator fault
Authors: Zhang Xing , Liu Lei , Liu Yan‐Jun 
Published: March 2021

AbstractThis paper proposes an adaptive fuzzy fault‐tolerant control method about seat active suspension systems. The significant indexes of seat active suspension system are ride comfort and safety. Considering the actuator failure of seat active suspension system, the problems of passengers' ride comfort and safety are better solved. Two adaptive laws are designed to solve the two unknown coefficients in the actuator fault of the seat active suspension system. The fuzzy logic systems are applied to approximate the unknown terms in the system, and an adaptive fuzzy fault‐tolerant controller is designed by using the backstepping method. In the closed‐loop systems, all signals are bounded which is proved through Lyapunov stability theory. Finally, two different road surface disturbances are considered in the simulation, which proves the effectiveness of the proposed method.
An investigation on discharge fault in buffer layer of 220 kV XLPE AC cable
Authors: Du Boxue , Du Xiaoyu , Kong Xiaoxiao , Li Jin , Li Zhijian , Li Xu 
Published: March 2021

AbstractDischarge failure mechanism of the cable buffer layer is investigated in this paper by the analysis of causes and characteristics of partial discharge (PD) behaviours in the case of failure. The obtained results show that both the volume resistivity and the surface resistance of the buffer layer increase as the relative humidity is elevated. It is found that the electric field distribution inside the buffer layer is distorted when there is poor contact condition and aggravated with the increase of the volume resistivity by the finite element analysis. PD behaviours analysis shows that the PD intensity is closely related to the contact state of the buffer layer, and hence the latter can be reflected by statistical parameters like the maximum pulse amplitude and the average equivalent frequency. The conclusions indicate that the electric field distortion is caused by the variation of the contact state of the buffer layer and the deterioration, which is responsible for the occurrence of PD. Therefore, the PD detection for the suspected faulty cables provides an effective method for the state evaluation of the buffer layer.
Endobronchial Ultrasound in Evaluating Mediastinal Lymphadenopathy
Authors: Baikunje Nandakishore , Hosmane Giridhar Belur , Y. Sunil Kumar 
Published: March 2021

AbstractTuberculosis can involve most of the body parts, and tubercular lymphadenitis is common. But isolated involvement of mediastinal lymph nodes without lung parenchymal involvement is rare in adults. A 45-year-old lady presented with subcarinal lymph node enlargement. A conventional transbronchial needle aspiration done at a local hospital was inconclusive. Endobronchial ultrasound-guided transbronchial needle aspiration was done. Cytology showed epithelioid histiocytes and caseous necrosis. Stain for acid-fast bacilli and cartridge-based nucleic acid amplification test for tuberculosis were positive. Endobronchial ultrasound-guided transbronchial needle aspiration is a minimally invasive bronchoscopic technique to visualize and sample mediastinal lymph nodes. However, its availability is limited to specific centers and expertise is required to interpret images and take diagnostic samples.
Curiosity–tourism interaction promotes subjective wellbeing among older adults in Japan
Authors: Totsune Tomoko , Matsudaira Izumi , Taki Yasuyuki 
Published: March 2021

AbstractAging societies are one of the major problems faced in the modern world. Promoting subjective wellbeing is a key component in helping individuals positively accept and adapt to psychological and physical changes during their aging process. Tourism is one of the activities that have been demonstrated to promote subjective wellbeing. However, motivation for tourism and its benefits to subjective wellbeing among the older adults have rarely been discussed. The current study aimed to investigate whether tourism contributes to the subjective wellbeing of older adults. We examined the relationships between travel frequency, subjective wellbeing, and the personal trait of curiosity, mediated by the factor of family budget situation. The results demonstrated that diverse curiosity motivates individuals to travel; thus, diverse curiosity positively correlates to subjective wellbeing, both directly as well as indirectly through travel frequency. However, this relationship is limited by the factor of family budget, with tourism contributing to the subjective wellbeing of only well-off older adults. This study concludes that tourism has potential to contribute to subjective wellbeing during later stages of life.