bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANJ810 is a novel highly selective MCL1 inhibitor with optimized in vivo clearance and robust efficacy in solid and hematological tumor models
Authors: Rauh Ulrike , Wei Guo , Serrano-Wu Michael , Kosmidis Georgios , Kaulfuss Stefan , Siegel Franziska , Thede Kai , McFarland James , Lemke Christopher , Werbeck Nicolas , Nowak-Reppel Katrin , Pilari Sabine , Menz Stephan , Ocker Matthias , Kaushik Virendar , Hubbard Brian , Ziegelbauer Karl , Golub Todd 
Published: March 2023

Abstract

MCL1 is an anti-apoptotic protein that is frequently amplified in cancer and confers resistance to current standard of care. Therefore, MCL1 is an attractive anti-cancer target. Here we describe ANJ810 as a novel, potent, and selective MCL1 inhibitor and its key design principle of a rapid systemic clearance to potentially minimize AUC-driven toxicities associated with MCL1 inhibition. ANJ810 induced rapid cell killing within 4 hours in vitro but in the same 4-hour window had no impact on cell viability or troponin I release in hiPSC-derived cardiomyocytes, even at supra-pharmacologic concentrations. In vivo ANJ810 induced efficacy in xenograft hematological and solid tumor models despite the short residence time of ANJ810 in plasma. In totality our data support the hypothesis that short-term inhibition of MCL1 with ANJ810 can induce cell apoptosis in tumor cells while maintaining an acceptable safety profile. We therefore intend to advance ANJ810 to clinical trials.
A novel temperature-sensitive immune pathway in plants
Authors: Maruta Natsumi , Trusov Yuri , Gao Wei , Long Lu , Song Chun-Peng , Botella Jose 
Published: March 2023

Abstract
The immune system is crucial for plant survival, although its activation diverts resources away from other important processes, such as growth and reproduction. To balance the need for an effective immune response with the need to maintain overall fitness, plants have evolved immune priming. The priming or pre-activation of defence mechanisms allows plant cells to respond faster and more efficiently to an incoming threat without triggering the actual defence response. In this study, we reveal a novel molecular mechanism of temperature dependent immune priming mediated by the Arabidopsis extra-large GTP binding protein 2 (XLG2) contributing to resistance against pathogens such as Fusarium oxysporum and Pseudomonas syringae. We found that XLG2 rapidly accumulates in the nucleus upon temperature elevation and that nuclear localization is essential for XLG2-mediated defence responses. XLG2 directly interacts with several defence-related transcription factors and stabilizes transcription activation complexes, such as nonexpressor of pathogenesis related genes 1 (NPR1) and TGACG sequence-specific binding protein (TGA2). Our observations suggest that XLG2 integrates abiotic and biotic stress signals providing an important balance between immunity and fitness and thus enabling plants to adequately respond to a changing environment.
Zika and chikungunya in Brazil, 2015–2021: space-time clusters, co-occurrence, and associated environmental and socioeconomic factors
Authors: Palasio Raquel Gardini Sanches , Bermudi Patricia Marques Moralejo , Macedo Fernando Luiz de Lima , Santana Lidia Maria Reis , Chiaravalloti-Neto Francisco 
Published: March 2023

Abstract
Chikungunya and Zika have been neglected as emerging diseases. This study aimed to analyze the space-time patterns of their occurrence and co-occurrence and their associated environmental and socioeconomic factors. Univariate (individually) and multivariate (co-occurrence) scans were analyzed for 608,388 and 162,992 cases of chikungunya and Zika, respectively. These occurred more frequently in the summer and autumn. The clusters with the highest risk were initially located in the northeast, dispersed to the center-west and coastal areas of São Paulo and Rio de Janeiro (2018–2021), and then increased in the northeast (2019–2021). Chikungunya and Zika demonstrated decreasing trends of 13% and 40%, respectively, whereas clusters showed an increasing trend of 85% and 57%, respectively. Clusters with a high co-occurrence risk have been identified in some regions of Brazil. High temperatures are associated with areas at a greater risk of these diseases. Chikungunya was associated with low precipitation levels, more urbanized environments, and places with greater social inequalities, whereas Zika was associated with high precipitation levels and low sewage network coverage. In conclusion, to optimize the surveillance and control of chikungunya and Zika, this study’s results revealed high-risk areas with increasing trends and priority months and the role of socioeconomic and environmental factors.
Numerical Analysis of Pore-Scale CO2-Oil Displacement in Heterogeneous Porous Media at Near-Miscible Flow Condition
Authors: Behnoud Parisa , Movaghar Mohammad Reza Khorsand , Sabooniha Ehsan 
Published: March 2023

Abstract
Gas flooding through the injection of CO2 is generally performed to achieve optimum oil recovery from underground hydrocarbon reservoirs, and CO2 capturing and storage. In fact, the second purpose is aimed at reducing the greenhouse effect in the atmosphere and achieving NetZero. Due to the laborious operational circumstances governing the gas injection process under miscibility conditions such as pressure maintenance, many reservoirs are situated in near-miscibility gas flooding operations. In this research, the displacement of oil through carbon dioxide injection under near-miscibility conditions is scrutinized exclusively at the pore scale. In this regard, based on the correlations and data available in the literature, first, the criteria of the near miscibility region are specified. Then, two separate numerical approach are implemented to examined the behavior of CO2-oil at lower-pressure limit of specified region. First, Phase-field coupled with Navier-Stokes equation is used to investigate the CO2-oil displacement by capturing the diffusive interface properties and hydrodynamic properties of fluids. Next, the effect of CO2 mass transfer into the oil phase is incorporated by coupling classical Fick’s law to the system of above equations to track the viscosity reduction of oil and the variation of CO2 diffusion coefficient using TDS module respectively. To better recognize the oil recovery mechanism in pore-scale, qualitative analysis indicates that interface is moved into the bypassed oil due to low interfacial tension in the near-miscible region. Moreover, behind the front ahead of the main flow stream, the CO2 phase can significantly displace almost all the bypassed oil in normal pores and effectively decrease the large amounts in small pores. This is because of mass transfer and capillary cross-flow mechanism caused by simultaneous CO2 and oil flow through the diffusive interface between the phases. The quantitative results also confirmed that taking mass transfer into account in pore-scale simulation and strengthening the diffusion term enhanced oil recovery from 92% to over 98%, approaching the output of miscible gas injection. The outcome of this research emphasizes the significance of applying the CO2-EOR process under near-miscible operating conditions.
The interplay between dietary fatty acids and gut microbiota influences host metabolism and hepatic steatosis
Authors: Schoeler Marc , Ellero-Simatos Sandrine , Birkner Till , Mayneris-Perxachs Jordi , Olsson Lisa , Brolin Harald , Loeber Ulrike , Polizzi Arnaud , Moschetta Antonio , Montagner Alexandra , Gourdy Pierre , Heymes Christophe , Guillou Hervé , Tremaroli Valentina , Fernández-Real José Manuel , Forslund Sofia , Burcelin Remy , Caesar Robert 
Published: March 2023

Abstract
Dietary lipids can affect metabolic health through gut microbiota-mediated mechanisms, but the influence of lipid-microbiota interaction on liver steatosis is largely unknown. We investigated the impact of dietary lipids on human gut microbiota composition and the effects of microbiota-lipid interactions on steatosis in mice. In humans, low intake of saturated fatty acids (SFA) was associated with increased microbial diversity independent of fiber intake. In mice, poorly absorbed dietary long-chain SFA, particularly stearic acid, improved metabolism and steatosis. These benefits were dependent on the gut microbiota, as they were transmitted by microbial transfer. Diets enriched in polyunsaturated fatty acids were protective against steatosis but had minor influence on the microbiota. In summary, we find that diets enriched in poorly absorbed long-chain SFA modulate gut microbiota profiles independent of fiber intake, and this interaction is relevant to improve metabolism and decrease liver steatosis.
Rate-dependent fracture behavior of gelatin-based hydrogels
Authors: Chen Si , Ravi-Chandar Krishnaswamy 
Published: March 2023

Abstract
Hydrogels exhibit rate-dependent fracture behavior, due to solvent diffusion, rearrangement of the polymer network, and other mechanisms. To explore rate-dependent fracture behavior, a series of creep fracture experiments were performed on gelatin-based hydrogels under different controlled humidity, and load conditions. The crack tip boundary condition was controlled to non-immersed and fully water saturated conditions. Additionally, full-field measurements of the displacement field were performed with digital image correlation. From these experiments, we show that humidity influences the crack initiation time but not the growing crack speed, and that water on the crack tip will significantly influence the fracture properties of the failure zone. Schapery's viscoelastic J-like integral was adopted for analysis of the experimental measurement to distinguish bulk viscoelastic dissipation from the fracture process zone dissipation. We show that viscoelastic J-like integral is path-independent and can serve as a characterizing parameter for quasistatic crack growth, which provides a way to predict crack growth speed in the simulations.
Mathematics Subject Classification (2020) MSC code1 · MSC code2 · more
Beyond Schwarzschild: New Pulsating Coordinates for Spherically Symmetric Metrics
Authors: Leon E. A. , Nieto J. A. , Sandoval-Rodriguez A. , Martinez-Olivas B. 
Published: March 2023

Abstract
Starting from a general transformation for spherically symmetric metrics where g_11=-1/g_00, we analyze coordinates with the common property of conformal flatness at constant solid angle element. Three general possibilities arise: one where tortoise coordinate appears as the unique solution, other that includes Kruskal-Szekeres coordinates as a very specific case, but that also allows other similar transformations, and finally a new set of coordinates with very different properties than the other two. In particular, this represents any causal patch of the spherically symmetric metrics in a compactified form. We analyze some relations, taking the Schwarzschild case as prototype, but also contrasting the cosmological de-Sitter and Anti-de-Sitter solutions for the new proposed “pulsating coordinates”.
Pacs numbers: 04.20.Cv, 04.20.Jb, 04.70.Bw, 98.80.-k
Quantum Boosting using Domain-Partitioning Hypotheses
Authors: Chatterjee Sagnik , Bhatia Rohan , Chani Parmeet Singh , Bera Debajyoti 
Published: March 2023

Abstract
Boosting is an ensemble learning method that converts a weak learner into a strong learner in the PAC learning framework. The AdaBoost algorithm is a well-known classical boosting algorithm for weak learners with binary hypotheses. Recently, Arunachalam and Maity presented the first quantum boosting algorithm by quantizing AdaBoost. Their algorithm, which we refer to as QAdaBoost hereafter, is a quantum adaptation of AdaBoost and only works for the binary hypothesis case. QAdaBoost is quadratically faster than AdaBoost in terms of the VC dimension of the hypothesis class of the weak learner. However, QAdaBoost is polynomially worse in the bias of the weak learner.
In this work, we address an open question by Izdebski et al. on the existence of boosting algorithms for quantum weak learners with non-binary hypotheses. We answer this question in the affirmative by developing the QRealBoost algorithm motivated by the classical RealBoost algorithm. The main technical challenge was to provide provable guarantees for convergence, generalization bounds, and quantum speedup, given that quantum subroutines are noisy and probabilistic. We prove that QRealBoost retains the quadratic speedup of QAdaBoost over AdaBoost and further achieves a polynomial speedup over QAdaBoost in terms of both the bias of the learner and the time taken by the learner to learn the target concept class.
Finally, we perform empirical evaluations on QRealBoost and report encouraging observations on quantum simulators by benchmarking the convergence performance of QRealBoost against QAdaBoost, AdaBoost, and RealBoost on a subset of the MNIST dataset and Breast Cancer Wisconsin dataset.
Exploring the Influencing Factors on Breast Self-Examination among Women in North shewa Oromia, Region 2022: A Qualitative Study
Authors: Hussein Dursa , Gashaw Ketema , Geleta Tinsae Abeya , Girma Derara , Geleta Leta Adugna , Oyato Befekadu Tesfaye 
Published: March 2023

Abstract
Background: Breast cancer (BC) is the leading cause of cancer death worldwide and the second most common cancer overall. Breast self-examination (BSE) is one of the cheapest methods used for the early detection of breast cancer in asymptomatic women. However, in Ethiopia, most of the breast self-examinationstudies were not conducted among women in the general population. Therefore, this study aimed to assess breast self-examination practice and associated factors among women of reproductive age in the North Shewa Zone, Oromia.
Method: A community-based cross-sectional qualitative study design was conducted from May 1, 2022 to June 30, 2022. Five focus group discussions (FGDs) were conducted with 46 women from four selected districts in North Shewa Zone, Oromia. A Purposive sampling technique was used to select participants for FGD
Results: Four themes emerged as the results of the in- focus group discussions, namely knowledge of breast cancer, knowledge regarding breast self-examination, Perceived benefits of treatment, barriers to performing regular BSE and enablers of BSE practice.
Conclusion: The study identified and described the factors influencing BSE practice which are inadequate knowledge regarding BSE practice and BC and also, misconceptions of BC and BSE practice. So, BSE shall be encouraged by improving knowledge of BSE practice and perception of BSE practice and BC through providing special health education for women at all levels. To overcome this problem, effort is needed from health system management like, North Shewa zonal Health Office, and the regional health bureau, Health care providers, cancer associations at the regional health bureau.
Fixed-time Tracking Consensus of Lipschitz-Type Multi-Agent System with a Dynamic Leader: A Time Base Generator Approach
Authors: Liu Fengyi , Yang Yongqing , Zhang Lingzhong 
Published: March 2023

Abstract
This study is concerned with the  xed-time consensus problem for feedforward nonlinear multi-agent systems (FNMSs). A novel output feedback control algorithm which is based on time base generator (TBG) is firstly proposed for the fixed-time consensus of FNMSs. The dynamic observers with TBG gains are further designed, using the outputs of its neighboring agents and output information of the leader. By using ingenious state transformation, a distributed output feedback control input with TBG is designed for each follower to achieve the consensus of FNMSs in a fixed time. Compared with the existing fixed-time consensus works, the FNMSs model proposed allows the leader's control input to be designed, the settling time can be specified in advance and independent of the initial state. TBG-based protocol significantly reduces the magnitude of initial control input. The observer does not include symbolic function, which guarantees the performance of the system. Finally, a numerical example shows the validity of the results.
2D Smagorinsky type large eddy models as limits of stochastic PDEs
Authors: Flandoli Franco , Luo Dejun , Luongo Eliseo 
Published: March 2023

Abstract
We prove that a version of Smagorinsky Large Eddy model for a 2D fluid in vorticity form is the scaling limit of suitable stochastic models for large scales, where the influence of small turbulent eddies is modeled by a transport type noise.
MSC (2020): 60H15, 76D05
Key Management Protocol for Heterogeneous Sensor Networks Based on Zero Trust Security and Chaotic Neural Networks
Authors: Li Guogang , Xie Tong , Zou Cheng , Fu Wenlong 
Published: March 2023

Abstract
In view of the node security risks and key management vulnerabilities in heterogeneous sensor networks, a key management protocol for heterogeneous sensor networks based on zero trust security and chaotic neural networks (KMPHSN-ZTSCNN) was proposed. Taking advantages of the decomposition difficulty of singular matrix and chaotic classification characteristics of Hopfield overload chaotic neural network, the node registration and authentication of sensor network were achieved by blockchain and zero-knowledge proof. The channel state information (CSI) and the adjustable mathematical function were relied on to generate a dynamically changing key to complete continuous verification and achieve zero trust security authentications, thus ensuring data security. The protocol can dynamically allocate different keyspace sizes according to the security level of the group, the storage capacity if the nodeand computing capacity and can adapt to the asymmetric structure of heterogeneous sensor networks. Theoretical proof and experimental performance analysis results show that the protocol is feasible and can meet the security requirements of heterogeneous sensor networks.
Synthesis of Ferromagnetic Nanocomposites from Nanocrystalline Cellulose and Characterization as an Adsorbent to Remove Lead in the Water
Authors: Pham Tran Bao Ngoc , Ngoc Han Tran Thi , Dinh Son Thanh , Tan Nhan Tu Le , Phuc Thien Le Nguyen , Mai Thanh Phong , Nguyen Dinh Quan 
Published: March 2023

Abstract
This research presented a method to synthesize magnetic nanocrystalline cellulose-based nanocomposites using in-situ co-precipitation technique to produce ferromagnetic oxide particles (Fe3O4) that were grafted on the surface of cellulose nanocrystals (CNCs). The synthesized material was used to remove lead ions from aqueous solutions. Different physicochemical analyst techniques such as XRD, FTIR, SEM, and TEM were used to characterize the structure of the material upon the different ratios of cellulose nanocrystals/ Fe3O4. The XRD analysis showed that CNC/Fe3O4 nanocomposite has characteristic diffraction peaks corresponding to Fe3O4 and cellulose nanocrystals. The FTIR spectrum indicated the specific functional groups of Fe3O4 and CNC in the nanocomposite materials. The size of nanoparticles produced in this work were less than 15 nm with Fe3O4 and roughly 25 nm with CNC via image SEM and TEM. According to these studies, with the same Pb2+ concentration in water of 200 ppm, the best condition for homogenous materials was the 1:1 ratio (cellulose nanocrystals: Fe3O4) and the adsorption capacity at time balance (qe) was 113.2 mg/g. The lead adsorption of material was evaluated by the ICP-OES fitted the Freundlich isotherm model better than the Langmuir isotherm model. The new adsorbent can help removing 60 % of Pb2+ from the solution, and can be magnetically separated from the continuous phase.
Association between physical activity, sedentary behaviors, and self-reported health: population-based cross-sectional analysis of individuals with diabetes and the general population
Authors: Stockhammer Eran , Kosinski Christophe , Zuercher Emilie , Amiguet Michael , Bize Raphaël , Peytremann-Bridevaux Isabelle 
Published: March 2023

Abstract
Background
Diabetes represents a major health burden both at the individual and societal levels. Physical activity is always recommended to reduce the incidence of diabetes and its complications, but its effects on self-reported health are lacking. This study aimed to explore how physical activity and sedentary behaviors were associated with self-reported health in individuals with diabetes and to compare them to individuals from the general population.
Methods
A cross-sectional analysis was conducted using data from the 2019 follow-up survey of a Swiss cohort of individuals with diabetes (CoDiab-VD; n=649) and the 2017 Swiss Health Survey (SHS; n=21’430). We assessed the association between self-reported health and three exposure variables (physical activity and sedentary behaviors operationalized as sitting time and sitting interruption) with three crude and three adjusted ordinal logistic regression models for two groups of individuals with diabetes (CoDiab-VD,SHS) and the general population (SHS).
Results
Individuals with diabetes were less active and more sedentary than those of the general population. A significant association between higher physical activity levels and better self-reported health was observed, for both individuals with diabetes and the general population. A more sedentary behavior, defined by a longer sitting time, seemed to be associated, with poorer self-reported health only in CoDiab-VD population.
Conclusions
Physical activity is strongly associated with better self-reported health, and sedentary behaviors tend to have a negative association. Sedentary behaviors should be considered when planning lifestyle interventions due to their effect on self-reported health.
Trial registration
ClinicalTrials.gov, identifier NCT01902043
Foliar application of pyroligneous acid acts synergistically with fertilizer to improve the productivity and phytochemical properties of greenhouse-grown tomato
Authors: Ofoe Raphael , Mousavi Seyed Mohammad Nasir , Thomas Raymond H. , Abbey Lord 
Published: March 2023

Abstract
Pyroligneous acid (PA) is rich in bioactive compounds and known to have the potential to improve crop productivity and phytochemical content. However, the synergistic effect of PA and fertilizer has not been thoroughly studied. In this study, we assessed the biostimulatory effect of different rates of foliar PA application (i.e., 0, 0.25, 0.5, 1, and 2% PA/ddH2O (v/v)) combined with full rate (i.e., 0.63, 0.28, 1.03 g) and half rate of nitrogen-phosphorus-potassium (NPK) fertilizer on the yield and nutritional quality of greenhouse-grown tomato (Solanum lycopersicum ‘Scotia’). Plants treated with 0.25% and 0.5% PA showed a significantly (p < 0.001) higher maximum quantum efficiency of PSII (Fv/Fm) and increased potential photosynthetic capacity (Fv/Fo), especially when combined with the full NPK rate. Leaf chlorophyll was significantly (p < 0.001) increased by ca. 0.60 and 0.49 folds in plants treated with 2% PA and full NPK rate compared to no spray and water, respectively. Total number of fruits was significantly (p < 0.001) increased by ca. 0.56 folds with the 2% PA irrespective of the NPK rate. The combined 2% PA and full NPK rate enhanced total fruit weight and the number of marketable fruits. Similarly, fruit protein, sugar and 2,2-diphenyl-1-picrylhydrazyl (DPPH) activity were significantly (p < 0.001) enhanced by the combined 2% PA and full NPK rate. In contrast, the 0.5% PA combined with half NPK rate increased fruit carotenoid and phenolic contents while the 2% PA plus half NPK rate enhanced fruit flavonoid content. Generally, the synergistic effect of PA and NPK fertilizer increased fruit elemental composition. These showed that foliar application of PA can be a novel and environmentally friendly strategy to increase the productivity and quality of tomato fruits.