bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards standardization of human adipose-derived stromal cells secretomes
Authors: Pinheiro-Machado Erika , Getova Vasilena E. , Harmsen Martin C. , Burgess Janette K. , Smink Alexandra M. 
Published: June 2023

AbstractThe secretome of adipose-derived stromal cells (ASC) is a heterogeneous mixture of components with a beneficial influence on cellular microenvironments. As such, it represents a cell-free alternative in regenerative medicine therapies. Pathophysiological conditions increase the therapeutic capacity of ASC and, with this, the benefits of the secretome. Such conditions can be partially mimicked in vitro by adjusting culturing conditions. Secretomics, the unbiased analysis of a cell secretome by mass spectrometry, is a powerful tool to describe the composition of ASC secretomes. In this proteomics databases review, we compared ASC secretomic studies to retrieve persistently reported proteins resulting from the most explored types of culturing conditions used in research, i.e., exposure to normoxia, hypoxia, or cytokines. Our comparisons identified only eight common proteins within ASC normoxic secretomes, no commonalities within hypoxic ASC secretomes, and only nine within secretomes of ASC exposed to proinflammatory cytokines. Within these, and regardless of the culturing condition that stimulated secretion, a consistent presence of extracellular matrix-related pathways associated with such proteins was identified. Confounders such as donors' age, sex, body mass index, the anatomical area where ASC were harvested, secretome collection method, data description, and how the data is shared with the scientific community are discussed as factors that might explain our outcomes. We conclude that standardization is imperative as the currently available ASC secretomic studies do not facilitate solid conclusions on the therapeutic value of different ASC secretomes.
Graphical abstract
Vanishing Water: Rescuing the Neglected Food Resource
Authors: Knorr Dietrich , Augustin Mary Ann 
Published: June 2023

AbstractThe annual global amount of water consumed to produce food ranges from 600,000 to 2.5 million liters per capita depending on food habits and food waste generation. Humans need approximately 2–3 L of water daily to maintain health, but only 0.01% of the world’s water is drinkable. Food supplies cannot be generated without land, water, and energy use. The current use of water for production of food is most concerning and requires immediate and increased awareness. Minimal attention has been devoted to the increasing water scarcity and loss of drinking water. Food waste also contains water and therefore also adds to water scarcity that is affecting almost 4 billion people. We summarize the human need of water, its significance for life and for the production, processing, and consumption of foods. This review includes an examination of the history of water; the unique properties of water for sustaining life; water for food production including agriculture, horticulture, and mariculture; the properties of water exploited in food processing; water scarcity due to water demands exceeding availability or access; and its consequences for our world. Means to reduce water scarcity, including using water treatment and promoting change of human habits, are discussed. The future of water and the recommendations for action are proposed for decreasing water scarcity and reducing water use during food production, food processing, food preparation, and consumption.
Discovery of the dendrophylliid scleractinian Heteropsammia cochlea (Spengler, 1781) in Halimeda bioherms of the Northern Great Barrier Reef
Authors: Borghi Stefano , Clements Matthew , Webb Monique , Bostock Helen , Webster Jody M. , McNeil Mardi , Nothdurft Luke , Byrne Maria 
Published: June 2023

AbstractHalimedabioherms on the Northern Great Barrier Reef (GBR) extend for over 6000 km2. To explore the ecological and biogeographical importance of these bioherms was one of the aims of a recent voyage on the Research Vessel (RV)Investigator. Through the use of underwater images and habitat sampling, we found populations ofHeteropsammia cochlea(Spengler, 1781) living in the bioherms. The scleractinian coral genusHeteropsammia(Dendrophylliidae) is a group of solitary, apozooxanthellate, single-polyp corals with a widespread distribution in tropical and sub-tropical regions. Populations ofH. cochleawere observed with individuals dispersed on open-sand habitat and among patches ofHalimedaat 30–40 m water depth in mean densities of 89 and 29 corals per m2, respectively. Fluorescence microscopy was used to assess the presence of zooxanthellae, indicating that they are actively photosynthesising at these depths. These are the first observations ofH. cochleain association with theHalimedabioherms on the Northern GBR.
Possible therapeutic targets for NLRP3 inflammasome-induced breast cancer
Authors: Wang Xixi , Lin Junyi , Wang Zhe , Li Zhi , Wang Minghua 
Published: June 2023

AbstractInflammation plays a major role in the development and progression of breast cancer(BC). Proliferation, invasion, angiogenesis, and metastasis are all linked to inflammation and tumorigenesis. Furthermore, tumor microenvironment (TME) inflammation-mediated cytokine releases play a critical role in these processes. By recruiting caspase-1 through an adaptor apoptosis-related spot protein, inflammatory caspases are activated by the triggering of pattern recognition receptors on the surface of immune cells. Toll-like receptors, NOD-like receptors, and melanoma-like receptors are not triggered. It activates the proinflammatory cytokines interleukin (IL)-1β and IL-18 and is involved in different biological processes that exert their effects. The Nod-Like Receptor Protein 3 (NLRP3) inflammasome regulates inflammation by mediating the secretion of proinflammatory cytokines and interacting with other cellular compartments through the inflammasome's central role in innate immunity. NLRP3 inflammasome activation mechanisms have received much attention in recent years. Inflammatory diseases including enteritis, tumors, gout, neurodegenerative diseases, diabetes, and obesity are associated with abnormal activation of the NLRP3 inflammasome. Different cancer diseases have been linked to NLRP3 and its role in tumorigenesis may be the opposite. Tumors can be suppressed by it, as has been seen primarily in the context of colorectal cancer associated with colitis. However, cancers such as gastric and skin can also be promoted by it. The inflammasome NLRP3 is associated with breast cancer, but there are few specific reviews. This review focuses on the structure, biological characteristics and mechanism of inflammasome, the relationship between NLRP3 in breast cancer Non-Coding RNAs, MicroRNAs and breast cancer microenvironment, especially the role of NLRP3 in triple-negative breast cancer (TNBC). And the potential strategies of using NLRP3 inflammasome to target breast cancer, such as NLRP3-based nanoparticle technology and gene target therapy, are reviewed.
Hypocoercivity for non-linear infinite-dimensional degenerate stochastic differential equations
Authors: Eisenhuth Benedikt , Grothaus Martin 
Published: June 2023

AbstractThe aim of this article is to construct solutions to second order in time stochastic partial differential equations and to show hypocoercivity of the corresponding transition semigroups. More generally, we analyze non-linear infinite-dimensional degenerate stochastic differential equations in terms of their infinitesimal generators. In the first part of this article we use resolvent methods developed by Beznea, Boboc and Röckner to construct diffusion processes with infinite lifetime and explicit invariant measures. The processes provide weak solutions to infinite-dimensional Langevin dynamics. The second part deals with a general abstract Hilbert space hypocoercivity method, developed by Dolbeaut, Mouhot and Schmeiser. In order to treat stochastic (partial) differential equations, Grothaus and Stilgenbauer translated these concepts to the Kolmogorov backwards setting taking domain issues into account. To apply these concepts in the context of infinite-dimensional Langevin dynamics we use an essential m-dissipativity result for infinite-dimensional Ornstein–Uhlenbeck operators, perturbed by the gradient of a potential. We allow unbounded diffusion operators as coefficients and apply corresponding regularity estimates. Furthermore, essential m-dissipativity of a non-sectorial Kolmogorov backward operator associated to the dynamic is needed. Poincaré inequalities for measures with densities w.r.t. infinite-dimensional non-degenerate Gaussian measures are studied. Deriving a stochastic representation of the semigroup generated by the Kolmogorov backward operator as the transition semigroup of a diffusion process enables us to show an $$L^2$$

L
2

-exponential ergodicity result for the weak solution. Finally, we apply our results to explicit infinite-dimensional degenerate diffusion equations.
Computing $$\mathbb {A}^1$$-Euler numbers with Macaulay2
Authors: Pauli Sabrina 
Published: June 2023

AbstractWe use Macaulay2 for several enriched counts in $${\text {GW}}(k)$$

GW
(
k
)

. First, we compute the count of lines on a general cubic surface using Macaulay2 over $$\mathbb {F}_p$$

F
p

in $${\text {GW}}(\mathbb {F}_p)$$

GW
(

F
p

)

for p a prime number and over $$\mathbb {Q}$$
Q
in $${\text {GW}}(\mathbb {Q})$$

GW
(
Q
)

. This gives a new proof for the fact that the $$\mathbb {A}^1$$

A

1

-Euler number of $${\text {Sym}}^3\mathcal {S}^*\rightarrow {\text {Gr}}(2,4)$$

Sym

3

S

∗

→
Gr

(
2
,
4
)

is $$15\langle 1\rangle +12\langle -1\rangle $$

15
⟨
1
⟩
+
12
⟨
-
1
⟩

. Then, we compute the count of lines in $$\mathbb {P}^3$$

P

3

meeting 4 general lines, the count of lines on a quadratic surface meeting one general line and the count of singular elements in a pencil of degree d-surfaces. Finally, we provide code to compute the EKL-form and compute several $$\mathbb {A}^1$$

A

1

-Milnor numbers.
Cement kiln dust in CIMENCAM Figuil (North Cameroon): characteristics and recycling as additives for blended cement production
Authors: Hamadou Toumba , Kanouo Nguo Sylvestre , Dikwa Jerome , Tchamba Arlin Bruno , Duna Linda Lekuna 
Published: June 2023

AbstractThis work presents the manufacture of CKD-blended cement from raw materials such as clinker, gypsum, marble and cement kiln dust (CKD) obtained from CIMENCAM Figuil, North Region of Cameroon. The raw materials were first characterized through XRF chemical analyses. Chemical tests (proportion of free lime, loss on ignition, sulfate, and insoluble residues), physical tests (fineness, consistency, setting time, and expansion), and compressive strength tests were carried out on manufactured CKD-blended cements and mortars. Clinker is composed of CaO (65.30%) and SiO2 (21.13%), with significant MgO (2.71%), Na2O + K2O (1.29%), SO3 (0.81%) and lime saturation factor of (97.9); which make this clinker good for cement production. Gypsum is composed of SO3 (36.32%) and CaO (33.92%) but contains very low proportion of impurities; it is therefore classified as low-impurities gypsum suitable for cement productions. The marble is dominantly composed of CaO (37.09%) with significant SiO2 (7.26%), SO3(2.40%), (2.36%), Fe2O3 (1.82%) and MgO (0.18%); it is classified as low-CaO calcitic-aluminosilicate and ferrosilicate bearing marble. The CKD is dominantly made up of CaO (46.0%) and SiO2 (11.62%) with significantly low Na2O + K2O (1.02%), and SO3(2.16%); this classifies it as low alkalies-sulfate cement kiln dust. The proportion of free lime, SO3, loss on ignition, and insoluble residues in the manufactured CKD-blended cements increase with an increase in the proportion of CKD. The blaine specific surface area (BSSA) (4797–6346 cm2/g) and the sieved residues (26.14–30.36%) show an increase with the proportion of used CKD. The compressive strength tests carried out on the prepared brick-shape hardened CKD-cement mortars (at 2, 7, and 28 days) show that, the resistance depends on the proportion of the used CKD (0% control, 5%, 10%, 15%, 20%… up to 50%). Pressures of 17.5 to 11.6 MPa was obtained in 2 days, 28.9 to 20.0 MPa in 7 days, and 35.5–23.3 MPa in 28 days.
Protecting Data and Queries in Cloud-Based Scenarios
Authors: De Capitani di Vimercati Sabrina , Foresti Sara , Samarati Pierangela 
Published: June 2023

AbstractThe availability of cloud services offered by different providers brings several advantages to users and companies, facilitating the storage, sharing, and processing of data. At the same time, the adoption of cloud services brings new security and privacy risks and challenges. As a matter of fact when leveraging cloud-based services for data storage and processing, data owners loose direct control on their data. Data and queries over them could then be at risk for both potentially improper exposure, compromising their confidentiality, or tampering, compromising their integrity. In this paper, we discuss the main issues to be addressed for guaranteeing data security and privacy in cloud-based storage and processing. We illustrate the different challenges to be considered and the research directions toward their solutions.
Reliability Estimation and Optimization of a Smart Meter Architecture Using a Monte Carlo Simulation
Authors: Altenburg Tobias , Staegemann Daniel , Volk Matthias , Turowski Klaus 
Published: June 2023

AbstractThe technological evolution is dominating the social change. There is a constant increase in the number of networked devices and the use of smart meters has become more relevant. A required feature of smart meter architectures is reliability, which ensures the continuous provision of the services of the system. In this article, the research question “How can a low-fault smart metering architecture be achieved based on constructive methods?” is answered with the objective of designing a low-fault smart meter architecture. By implementing optimization methods, an improvement in reliability can be achieved. A structured approach to reliability optimization using topological modifications to the architecture is described, along with evaluation of the improved reliability. For this purpose, reliability block diagrams are combined with Monte Carlo simulation to calculate the most realistic approximation of system reliability. Finally, the results of the individual reliability analyses are summarized and compared to show the optimization potential.
How to make continental reconstructions: the importance of the knowledge of high strain along former plate boundaries
Authors: Şengör A. M. Celâl , Natal’in Boris A. , Lom Nalan , Zabcı Cengiz , Sunal Gürsel 
Published: June 2023

AbstractContinental reconstructions became a geological problem after the rise of continental drift. With plate tectonics, it became easy to make reconstructions once ocean-floor magnetic anomaly stripes became available. However, for times before the medial Jurassic, continental reconstructions must depend on palaeomagnetism, palaeoclimatology and palaeobiogeography. All three methods give rough latitudinal control, whereas obtaining longitudinal control has proved elusive. We here show that a detailed knowledge of strain history, i.e. careful mapping and integrating change of shape in rock bodies and the displacements implead by them in orogenic belts between formerly separate continental rafts may also provide longitudinal control of relative continental positions and thus enable the geologist to generate displacement paths during the drift histories of continents before the early Jurassic. We present below two examples of continental reconstructions, in which strain histories of rock packages between two cratons play a predominant role, namely the Altaids, mainly in the Phanerozoic, and the Saharides, mainly in the Neoproterozoic.
A Stochastic Dynamical Model of Slope Creep and Failure
Authors: Lei Qinghua , Sornette Didier 
Published: June 2023

AbstractWe propose a stochastic dynamical model to simulate slope secondary and tertiary creep phenomena. The slope secondary creep is represented by the Kesten process defined as a stochastic affine auto‐regressive process involving both multiplicative and additive random variables. The Kesten process can realistically capture the co‐existence of a background deformation and intermittent displacement bursts, which are together well characterized by an inverse gamma velocity distribution. The slope tertiary creep is modeled by a nonlinear stochastic dynamical equation embodying a nonlinear feedback mechanism and a nonlinear random effect, which can mimic the development of slow or catastrophic landslides. For catastrophic landslides, the probability density function of slope velocities tends to deviate from the inverse gamma distribution by populating the “dragon‐king” regime, although sometimes they may grow undetectably in the “black‐swan” regime. Our model provides a quantitative framework to understand, simulate, and interpret complex landslide displacement time series.
A Deep‐Learning Ensemble Method to Detect Atmospheric Rivers and Its Application to Projected Changes in Precipitation Regime
Authors: Tian Yuan , Zhao Yang , Son Seok‐Woo , Luo Jing‐Jia , Oh Seok‐Geun , Wang Yinjun 
Published: June 2023

AbstractThis study aims to detect atmospheric rivers (ARs) around the world by developing a deep‐learning ensemble method using AR catalogs of the ClimateNet data set. The ensemble method, based on 20 semantic segmentation algorithms, notably reduces the bias of the testing data set, with its intersection over union score being 1.7%–10.1% higher than that of individual algorithms. This method is then applied to the Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets to quantify AR frequency and its related precipitation in the historical period (1985–2014) and future period (2070–2099) under the Shared Socioeconomic Pathways 5–8.5 warming scenario. The six key regions, which are distributed in different continents of the globe and greatly influenced by ARs, are particularly highlighted. The results show that CMIP6 multi‐model mean with the deep‐learning ensemble method reasonably reproduces the observed AR frequency. In most key regions, both heavy precipitation (90–99 percentile) and extremely heavy precipitation (>99 percentile) are projected to increase in a warming climate mainly due to the increased AR‐related precipitation. The AR contributions to future heavy and extremely heavy precipitation increase range from 145.1% to 280.5% and from 36.2% to 213.5%, respectively, indicating that ARs should be taken into account to better understand the future extreme precipitation changes.
Molecular Characterization of Brown Carbon Chromophores in Atmospherically Relevant Samples and Their Gas‐Particle Distribution and Diurnal Variation in the Atmosphere
Authors: Xing Chong , Wan Yibei , Wang Qiongqiong , Kong Shaofei , Huang Xiangpeng , Ge Xinlei , Xie Mingjie , Yu Huan 
Published: June 2023

AbstractBy developing a nontarget tandem mass spectrometry experiment workflow, we identified the most probable structures of 100 brown carbon (BrC) chromophores in five types of atmospherically relevant samples including ambient aerosols, biomass burning aerosols, road tunnel aerosols, toluene secondary organic aerosol and rainwater. These chromophores were classified into nine groups, that is, 31 nitrophenols, 12 benzoic acids, 11 oxygenated polycyclic aromatic hydrocarbons, 10 phenols, 10 aryl amides/amines, 9 phenylpropene derivatives, 9 coumarins and flavonoids, 5 pyridines, and 3 nitrobenzoic acids. Among them, aryl amides/amine chromophores, which were mostly found in rainwater, were reported for the first time. The identified chromophores accounted for 20.9%–83.5% of total light absorption over 300–400 nm wavelength or total ion intensity in the 5 types of samples. We identified the characteristic chromophore groups in each sample type and identical chromophores among different sample types, especially between the source samples and ambient aerosols. Gas‐particle distribution and diurnal variation of 13 BrC compounds in the atmosphere were measured by an online high‐resolution chemical ionization mass spectrometer equipped with a Filter Inlet for Gases and Aerosols. It was found that gas‐particle distribution of BrC compounds was dictated by their functional group, oxygen and carbon atom numbers. The BrC compounds containing nitro‐group had higher nighttime concentrations, while those without nitro‐group had higher daytime concentrations.
Aggressive and psychopathic traits are linked to the acquisition of stable but imprecise hostile expectations
Authors: Buades-Rotger Macià , Smeijers Danique , Gallardo-Pujol David , Krämer Ulrike M. , Brazil Inti A. 
Published: June 2023

AbstractIndividuals with hostile expectations (HEX) anticipate harm from seemingly neutral or ambiguous stimuli. However, it is unclear how HEX are acquired, and whether specific components of HEX learning can predict antisocial thought, conduct, and personality. In an online sample of healthy young individuals (n = 256, 69% women), we administered a virtual shooting task and applied computational modelling of behaviour to investigate HEX learning and its constellation of correlates. HEX acquisition was best explained by a hierarchical reinforcement learning mechanism. Crucially, we found that individuals with relatively higher self-reported aggressiveness and psychopathy developed stronger and less accurate hostile beliefs as well as larger prediction errors. Moreover, aggressive and psychopathic traits were associated with more temporally stable hostility representations. Our study thus shows that aggressiveness and psychopathy are linked with the acquisition of robust yet imprecise hostile beliefs through reinforcement learning.