bluuebunny/crossref_metadata_2025 huggingface dataset:
New anisotropic star solutions in mimetic gravity
Authors: Nashed G. G. L. , Saridakis Emmanuel N.
Published: April 2023

We extract new classes of anisotropic solutions in the framework of mimetic gravity, by applying the Tolman–Finch–Skea metric and a specific anisotropy not directly depending on it, and by matching smoothly the interior anisotropic solution to the Schwarzschild exterior one. Then, in order to provide a transparent picture we use the data from the 4U 1608-52 pulsar. We study the profile of the energy density, as well as the radial and tangential pressures, and we show that they are all positive and decrease toward the center of the star. Furthermore, we investigate the anisotropy parameter and the anisotropic force that are both increasing functions of the radius, which implies that the latter is repulsive. Additionally, by examining the radial and tangential equation-of-state parameters, we show that they are monotonically increasing, not corresponding to exotic matter. Concerning the metric potentials, we find that they have no singularity, either at the center of the star or at the boundary. Furthermore, we verify that all energy conditions are satisfied, we show that the radial and tangential sound speed squares are positive and sub-luminal, and we find that the surface redshift satisfies the theoretical requirement. Finally, in order to investigate the stability we apply the Tolman–Oppenheimer–Volkoff equation, we perform the adiabatic index analysis, and we examine the static case, showing that in all cases the star is stable.
Theoretical analysis on the Barrow holographic dark energy in the DGP braneworld
Authors: Zhao Chenchen , Qi Yannan , Yang Weiqiang , Jiang Bo , Feng Wenyu , Wu Yabo
Published: April 2023

This paper further studies the cosmological evolution and geometry diagnosis of Barrow holographic dark energy (BHDE) in the DGP braneworld, specifically, by choosing the interaction between dark energy and dark matter item. [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text] are discussed in the case of no interaction and four different interactions, the evolution laws of energy density parameters, deceleration parameters and EOS (equation of state) parameters of Barrow holographic dark energy. The results show that the Barrow holographic dark energy in the DGP braneworld conforms to the current cosmic evolution rule, already achieved the universe main ingredients from matter to the transition of energy, and explains the problem of cosmic acceleration. Further, in order to distinguish between the model and [Formula: see text]CDM model, this paper also geometrically diagnoses the model with the two ways of Statefinder hierarchy and Om[Formula: see text]. From their respective evolution image you can see, these two kinds of diagnosis methods can not only distinguish different from [Formula: see text]CDM model, but also can intuitively reflect the coupling parameters that can significantly affect the dark energy model.
Symplectic non-convexity of toric domains
Authors: Dardennes Julien , Gutt Jean , Zhang Jun
Published: April 2023

We investigate the convexity up to symplectomorphism (called symplectic convexity) of star-shaped toric domains in [Formula: see text]. In particular, based on the criterion from Chaidez–Edtmair in [Invent. Math. 229(1) (2022) 243–301] via Ruelle invariant and systolic ratio of the boundary of star-shaped toric domains, we provide elementary operations on domains that can kill the symplectic convexity. These operations only result in small perturbations in terms of domains’ volume. Moreover, one of the operations is a systematic way to produce examples of dynamically convex but not symplectically convex toric domains. Finally, we are able to provide concrete bounds for the constants that appear in Chaidez–Edtmair’s criterion.
Real order total variation with applications to the loss functions in learning schemes
Authors: Liu Pan , Lu Xin Yang , He Kunlun
Published: April 2023

Loss functions are an essential part in modern data-driven approaches, such as bi-level training scheme and machine learnings. In this paper, we propose a loss function consisting of a [Formula: see text]-order (an)-isotropic total variation semi-norms [Formula: see text], [Formula: see text], defined via the Riemann–Liouville (RL) fractional derivative. We focus on studying key theoretical properties, such as the lower semi-continuity and compactness with respect to both the function and the order of derivative [Formula: see text], of such loss functions.
A geometric approach to the modified Milnor problem
Authors: Chen Lina , Rong Xiaochun , Xu Shicheng
Published: April 2023

The Milnor Problem (modified) in the theory of group growth asks whether any finite presented group of vanishing algebraic entropy has at most polynomial growth. We show that a positive answer to the Milnor Problem (modified) is equivalent to the Nilpotency conjecture in Riemannian geometry: given [Formula: see text], there exists a constant [Formula: see text] such that if a compact Riemannian [Formula: see text]-manifold [Formula: see text] satisfies that Ricci curvature [Formula: see text], diameter [Formula: see text] and volume entropy [Formula: see text], then the fundamental group [Formula: see text] is virtually nilpotent. We will verify the Nilpotency conjecture in some cases, and we will verify the vanishing gap phenomena for more cases i.e. if [Formula: see text], then [Formula: see text].
On the optimal Lq-regularity for viscous Hamilton–Jacobi equations with subquadratic growth in the gradient
Authors: Goffi Alessandro
Published: April 2023

This paper studies a maximal [Formula: see text]-regularity property for nonlinear elliptic equations of second order with a zeroth order term and gradient nonlinearities having superlinear and subquadratic growth, complemented with Dirichlet boundary conditions. The approach is based on the combination of linear elliptic regularity theory and interpolation inequalities, so that the analysis of the maximal regularity estimates boils down to determine lower order integral bounds. The latter are achieved via a [Formula: see text] duality method, which exploits the regularity properties of solutions to stationary Fokker–Planck equations. For the latter problems, we discuss both global and local estimates. Our main novelties for the regularity properties of this class of nonlinear elliptic boundary-value problems are the analysis of the end-point summability threshold [Formula: see text], [Formula: see text] being the dimension of the ambient space and [Formula: see text] the growth of the first-order term in the gradient variable, along with the treatment of the full integrability range [Formula: see text].
Continuous time approximation of Nash equilibria in monotone games
Authors: Awi Romeo , Hynd Ryan , Mawi Henok
Published: April 2023

We consider the problem of approximating Nash equilibria of [Formula: see text] functions [Formula: see text] of [Formula: see text] variables. In particular, we show systems of the form [Formula: see text] [Formula: see text] are well-posed and the large time limits of their solutions [Formula: see text] are Nash equilibria for [Formula: see text] provided that these functions satisfy an appropriate monotonicity condition. To this end, we will invoke the theory of maximal monotone operators on a Hilbert space. We will also identify an application of these ideas in game theory and show how to approximate equilibria in some game theoretic problems in function spaces.
Generating Proof Certificates for a Language-Agnostic Deductive Program Verifier
Authors: Lin Zhengyao , Chen Xiaohong , Trinh Minh-Thai , Wang John , Roşu Grigore
Published: April 2023

Previous work on rewriting and reachability logic establishes a vision for a language-agnostic program verifier, which takes three inputs: a program, its formal specification, and the formal semantics of the programming language in which the program is written. The verifier then uses a language-agnostic verification algorithm to prove the program correct with respect to the specification and the formal language semantics. Such a complex verifier can easily have bugs. This paper proposes a method to certify the correctness of each successful verification run by generating a proof certificate. The proof certificate can be checked by a small proof checker. The preliminary experiments apply the method to generate proof certificates for program verification in an imperative language, a functional language, and an assembly language, showing that the proposed method is language-agnostic.
User-Customizable Transpilation of Scripting Languages
Authors: Wang Bo , Kolluri Aashish , Nikolić Ivica , Baluta Teodora , Saxena Prateek
Published: April 2023

A transpiler converts code from one programming language to another. Many practical uses of transpilers require the user to be able to guide or customize the program produced from a given input program. This customizability is important for satisfying many application-specific goals for the produced code such as ensuring performance, readability, ease of exposition or maintainability, compatibility with external environment or analysis tools, and so on. Conventional transpilers are deterministic rule-driven systems often written without offering customizability per user and per program. Recent advances in transpilers based on neural networks offer some customizability to users, e.g. through interactive prompts, but they are still difficult to precisely control the production of a desired output. Both conventional and neural transpilation also suffer from the "last mile" problem: they produce correct code on average, i.e., on most parts of a given program, but not necessarily for all parts of it. We propose a new transpilation approach that offers fine-grained customizability and reusability of transpilation rules created by others, without burdening the user to understand the global semantics of the given source program. Our approach is mostly automatic and incremental, i.e., constructs translation rules needed to transpile the given program as per the user's guidance piece-by-piece. Users can rely on existing transpilation rules to translate most of the program correctly while focusing their effort locally, only on parts that are incorrect or need customization. This improves the correctness of the end result. We implement the transpiler as a tool called DuoGlot, which translates Python to Javascript programs, and evaluate it on the popular GeeksForGeeks benchmarks. DuoGlot achieves 90% translation accuracy and so it outperforms all existing translators (both handcrafted and neural-based), while it produces readable code. We evaluate DuoGlot on two additional benchmarks, containing more challenging and longer programs, and similarly observe improved accuracy compared to the other transpilers.
Bidirectional Object-Oriented Programming: Towards Programmatic and Direct Manipulation of Objects
Authors: Zhang Xing , Guo Guanchen , He Xiao , Hu Zhenjiang
Published: April 2023

Many bidirectional programming languages, which are mainly functional and relational, have been designed to support writing programs that run in both forward and backward directions. Nevertheless, there is little study on the bidirectionalization of object-oriented languages that are more popular in practice. This paper presents the first bidirectional object-oriented language that supports programmatic and direct manipulation of objects. Specifically, we carefully extend a core object-oriented language, which has a standard forward evaluation semantics, with backward updating semantics for class inheritance hierarchies and references. We formally prove that the bidirectional evaluation semantics satisfies the round-tripping properties if the output is altered consistently. To validate the utility of our approach, we have developed a tool called BiOOP for generating HTML documents through bidirectional GUI design. We evaluate the expressiveness and effectiveness of BiOOP for HTML webpage development by reproducing ten classic object-oriented applications from a Java Swing tutorial and one large project from GitHub. The experimental results show the response time of direct manipulation programming on object-oriented programs that produce HTML webpages is acceptable for developers.
Unsupervised Discovery and Manipulation of Continuous Disentangled Factors of Variation
Authors: Fontanini Tomaso , Donati Luca , Bertozzi Massimo , Prati Andrea
Published: April 2023

Learning a disentangled representation of a distribution in a completely unsupervised way is a challenging task that has drawn attention recently. In particular, much focus has been put in separating factors of variation (i.e., attributes) within the latent code of a Generative Adversarial Network (GAN). Achieving that permits control of the presence or absence of those factors in the generated samples by simply editing a small portion of the latent code. Nevertheless, existing methods that perform very well in a noise-to-image setting often fail when dealing with a real data distribution, i.e., when the discovered attributes need to be applied to real images. However, some methods are able to extract and apply a style to a sample but struggle to maintain its content and identity, while others are not able to locally apply attributes and end up achieving only a global manipulation of the original image.

In this article, we propose a completely (i.e.,
truly
) unsupervised method that is able to extract a disentangled set of attributes from a data distribution and apply them to new samples from the same distribution by preserving their content. This is achieved by using an image-to-image GAN that maps an image and a random set of continuous attributes to a new image that includes those attributes. Indeed, these attributes are initially unknown and they are discovered during training by maximizing the mutual information between the generated samples and the attributes’ vector. Finally, the obtained disentangled set of continuous attributes can be used to freely manipulate the input samples. We prove the effectiveness of our method over a series of datasets and show its application on various tasks, such as attribute editing, data augmentation, and style transfer.
Construction of Homogeneous Catalyst Layers at Proton Exchange Membrane Fuel Cell Cathodes
Authors: Li Xiaoyu , Wang Xiaojiang , He Jing , Zheng Tianlong , Xu Chao , Zhou Wenhui , Wang Junhu , Liu Jingang , He Qinggang
Published: April 2023

In proton exchange membrane fuel cells (PEMFCs), the performance of the cathode catalyst layer depends on the effective formation and uniform distribution of the three-phase boundary (catalyst, ionomer, and oxygen). However, traditional cathode catalyst layer structures based on heterogeneous catalysis have reduced the catalyst utilization rate and mass transfer efficiency for the oxygen reduction reaction (ORR), which further restricts the development of PEMFCs. Here, we covalently grafted an ORR molecular catalyst, tetrakis(4-methoxyphenyl) porphyrin iron (II), onto the side chain of a Nafion ionomer. This strategy allows the catalytic center of the transition metal macrocycle to be anchored inside the ion flow channel. Mössbauer spectroscopy showed that the kinetics of the electrode reaction were improved owing to the increase in electron density around the Fe center. Additionally, the improvement in catalytic active site utilization and mass (protons, oxygen) transfer effectively promotes the performance output of the fuel cell. This novel catalyst layer structure may provide a new platform for the development of high-performance molecular catalysts for applications in fuel cells and other energy devices.
Fecal ammonium in mice with CKD: gastrointestinal sequestration by sodium zirconium cyclosilicate
Authors: Marmol Fernando , Badaruddin Mohammed , Baig Athar , Ye Minghao , Wysocki Jan , Tahaei Ebrahim , Welling Paul , Bamberg Krister , Batlle Daniel
Published: April 2023

Fecal [Formula: see text] excretion in chronic kidney disease is increased and about sixfold higher than urine [Formula: see text] excretion, revealing an important route of elimination of [Formula: see text] that is present in the gastrointestinal tract. Sodium zirconium cyclosilicate (SZC) administration sequesters a substantial portion of [Formula: see text], suggesting that binding of [Formula: see text] by SZC in the gastrointestinal tract offers therapeutic potential in chronic kidney disease and other clinical conditions beyond its known primary action of SZC as a specific K+ binder.
Heating-induced peripheral limb microvascular vasodilation reduces arterial wave reflection
Authors: Athaide Chloe E. , Cohen Jeremy N. , Stevens Kailey A. , Robertson Andrew D. , Au Jason S.
Published: April 2023

Lower limb contributions to central wave reflections have been theorized without direct evidence in humans. In this study, mild passive heating was used to locally vasodilate either the right arm or leg to control local wave reflection sites. Heating in general reduced the reflected wave amplitude, but there were no differences between the arm or leg heating intervention, failing to provide support for the lower limbs as a primary contributor to wave reflection in humans.
Mitochondria in health, disease, and aging
Authors: Harrington John S. , Ryter Stefan W. , Plataki Maria , Price David R. , Choi Augustine M. K.
Published: April 2023

Mitochondria are well known as organelles responsible for the maintenance of cellular bioenergetics through the production of ATP. Although oxidative phosphorylation may be their most important function, mitochondria are also integral for the synthesis of metabolic precursors, calcium regulation, the production of reactive oxygen species, immune signaling, and apoptosis. Considering the breadth of their responsibilities, mitochondria are fundamental for cellular metabolism and homeostasis. Appreciating this significance, translational medicine has begun to investigate how mitochondrial dysfunction can represent a harbinger of disease. In this review, we provide a detailed overview of mitochondrial metabolism, cellular bioenergetics, mitochondrial dynamics, autophagy, mitochondrial damage-associated molecular patterns, mitochondria-mediated cell death pathways, and how mitochondrial dysfunction at any of these levels is associated with disease pathogenesis. Mitochondria-dependent pathways may thereby represent an attractive therapeutic target for ameliorating human disease.
Real-Time Response Estimation of Structural Vibration with Inverse Force Identification
Authors: Oh Seungin , Lee Hanmin , Lee Jai-Kyung , Yoon Hyungchul , Kim Jin-Gyun
Published: April 2023

Virtual sensing is an effective method to identify the inaccessible state of the structural systems by compensating the limitations of the conventional physical sensing techniques. Recently, it becomes popular in structural vibration field and their relevant physical domains such as civil, mechanical, aerospace engineering, thermal dynamics, and acoustics. This study aimed to develop a virtual sensing algorithm of structural vibration for the real-time identification of unmeasured information. First, certain local point vibration responses (such as displacement and acceleration) are measured using physical sensors, and the data sets are extended using a numerical model to cover the unmeasured quantities through the entire spatial domain in the real-time computation process. A modified time integrator is then proposed to synchronize the physical sensors and the numerical model using inverse dynamics. In particular, an efficient inverse force identification method is derived using implicit time integration. The second-order ordinary differential formulation and its projection-based reduced-order modeling are used to avoid two times larger degrees of freedom within the state-space form. Then, the Tikhonov regularization noise-filtering algorithm is employed instead of Kalman filtering. The performance of the proposed method is investigated on both numerical and experimental testbeds under sinusoidal and random excitation loading conditions. In the numerical test, the system could identify the status of the motor housing structure in the speed of 16,181

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. The FDE and RMSE values are bounded under 0.1816 and 1503.2. In the case of the experimental test, the algorithm is implemented to the beam structure using a single-board computer, including inverse force identification and unmeasured response prediction. Even in the limited computational environment, the system could identify the applied forces in real time in the speed of 2,173

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. Through all experimental cases, FDE and RMSE values are bounded under 0.2925 and 0.1660. The results show that the virtual sensing algorithm can accurately identify unmeasured information, forces, and displacements throughout the vibration model in real time in a very limited computing environment.
Chronic Prostatitis/Chronic Pelvic Pain Syndrome Induces Depression-Like Behavior and Learning-Memory Impairment: A Possible Link with Decreased Hippocampal Neurogenesis and Astrocyte Activation
Authors: Šutulović Nikola , Vesković Milena , Puškaš Nela , Zubelić Aleksa , Jerotić Djurdja , Šuvakov Sonja , Despotović Sanja , Grubač Željko , Mladenović Dušan , Macut Djuro , Rašić-Marković Aleksandra , Simić Tatjana , Stanojlović Olivera , Hrnčić Dragan
Published: April 2023

Pathogenesis of chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) remains unclear since it represents an interplay between immunological, endocrine, and neuropsychiatric factors. Patients suffering from CP/CPPS often develop mental health-related disorders such as anxiety, depression, or cognitive impairment. The aim of this study was to investigate depression-like behavior, learning, and memory processes in a rat model of CP/CPPS and to determine the alterations in hippocampal structure and function. Adult male Wistar albino rats (n=6in each group) from CP/CPPS (single intraprostatic injection of 3% λ-carrageenan, day 0) and Sham (0.9% NaCl) groups were subjected to pain threshold test (days 2, 3, and 7), depression-like behavior, and learning-memory tests (both on day 7). Decreased pain threshold in the scrotal region and histopathological presence of necrosis and inflammatory infiltrate in prostatic tissue confirmed the development of CP/CPPS. The forced swimming test revealed the depression-like behavior evident through increased floating time, while the modified elevated plus maze test revealed learning and memory impairment through prolonged transfer latency in the CP/CPPS group in comparison with Sham (p<0.001andp<0.001, respectively). Biochemical analysis showed decreased serum levels of testosterone in CP/CPPS group vs. the Sham (p<0.001). The CP/CPPS induced a significant upregulation of ICAM-1 in rat cortex (p<0.05) and thalamus (p<0.01) and increased GFAP expression in the hippocampal astrocytes (p<0.01) vs. Sham, suggesting subsequent neuroinflammation and astrocytosis. Moreover, a significantly decreased number of DCX+ and Ki67+ neurons in the hippocampus was observed in the CP/CPPS group (p<0.05) vs. Sham, indicating decreased neurogenesis and neuronal proliferation. Taken together, our data indicates that CP/CPPS induces depression-like behavior and cognitive declines that are at least partly mediated by neuroinflammation and decreased neurogenesis accompanied by astrocyte activation.
Stimulus Perception in Long-Distance Railway Mode Choice
Authors: Isler Cassiano Augusto , Blumenfeld Marcelo , Caldeira Gabriel Pereira , Roberts Clive
Published: April 2023

In the context of countries in the so-called Global South, where passenger railway services are either nonexistent or poorly performed, discrete choice models are useful to identify the attributes that affect users’ choices and provide insights on their behaviour in regional long-distance trips. Several theories and models have been proposed to understand travel behaviour for effective strategical decision in the transport field. The well-knownRandom Utility Maximization (RUM) approach has been widely used for such purposes, while the Random Regret Minimization (RRM) approach has been recently explored in the literature. However, the magnitude in the difference of levels of the attributes, or the stimulus perception, may affect the results of such models and biases the estimations. Therefore, this paper aims to assess the stimulus perception in mode choice to compare conventional rail (CR) and high-speed rail (HSR) services for passenger transport in intercity trips in Brazil. Estimations of RUM and RRM models were performed with a dataset from a stated preference survey comparing two railway technologies (CR and HSR) with other modes of transport (car, bus, and airplanes) for long-distance trips in the Southeast region of Brazil. Findings provide useful insights about the impacts of travel costs, travel times, and frequency of services, as well as sociodemographic characteristics of users. From the modelling outputs, it was found that users are affected by the magnitude of travel costs, time, and frequency only in business trips by HSR in the Brazilian context.
Immunotherapy and Immune Infiltration in Patients with Clear Cell Renal Cell Carcinoma: A Comprehensive Analysis
Authors: Hou Lin , Liu Xinyue
Published: April 2023

On a global scale, renal cell carcinoma (RCC) is the second most common form of cancer and the 10th leading cause of cancer-related deaths. There are about 70% of cases of RCC that are clear cell renal cell carcinomas (ccRCCs). This study explores possible targets for immune therapy in patients with RCC. In the recent years, immunotherapy has been applied to RCC patients. In order to identify genes that are closely associated with immune cells, a weighted gene coexpression network analysis (WGCNA) was conducted. A close association was found between genes involved in MEred and M0 macrophages, M1 macrophages, and M2 macrophages. A prognostic prediction model is subsequently developed by incorporating the OS and the expression level of key genes from the RCC cohort into a univariate COX regression analysis, a multivariate COX regression analysis, and a combined COX regression analysis. We finally discovered that 6 genes are closely associated with the prognosis of RCC patients, including SLC16A12, SLC2A9, IGF2BP2, EMX2, ANK3, and METTL7A. The survival analysis proved the prognostic prediction value of the model. The 1-year, 3-year, and 5-year AUC of ROC curves are 0.759, 0.723, and 0.733, respectively. For clinical ROC curves, the AUC score for risk score, stage, grade, and T stage is 0.759, 0.824, 0722, and 0.736, respectively. The nomogram was constructed for better prognosis prediction of RCC patients. In addition, GSVA and GO enrichment analysis was performed to explore the potential pathways that are closely associated with genes involved in the prognostic prediction model. Accordingly, our study demonstrates that immune cells play a crucial role in RCC infiltration. The development of a prognostic prediction model is a potential new prognostic biomarker and potential immunotherapy target for tumors.
Short-Term Load Monitoring of a Power System Based on Neural Network
Authors: Yang Di
Published: April 2023

In order to improve the accuracy of power load forecasting, this paper proposes a neural network-based short-term monitoring method. First, the original energy load signal is decomposed by the CEEMDAN algorithm to obtain several eigenmode function components and residual components; several eigenmode function components and residual functions are fed into the NARX neural network for computational purposes. The partial hypothesis is superimposed in the following part to obtain the final short-term forecast. According to the test results, the MAPE of the CEEMDAN-NARX model is 4.753%, 3.540%, and 0.343% lower than the SVM, RNN, and NARX models, respectively, and 3.741% and 2.682% lower than CEEMDAN-SVM and CEEMDAN-RNN, respectively. The MAPE and RMSE of the CEEMDAN-NARX model are 0.765% and 101.7 MW, respectively, which are 0.468% and 45.2 MW lower than NARX models, respectively. Compared to CEEMDAN-SVM, the MAPE of CEEMDAN-NARX and CEEMDAN-RNN decreased by 0.986% and 0.692%, respectively, and the RMSE of CEEMDAN-NARX decreased by 111.5 and 65.7 MW, respectively, compared to CEEMDAN-SVM. Conclusion is that the load forecasting model based on the combination of CEEMDAN algorithm and NARX neural network can effectively connect, reduce the negative impact of noise on forecasting results, and improve forecasting accuracy.
Evidence of the Uyunbulak Salt Lake Water Recharge in the Kumish Basin, Xinjiang, China, from Boron Isotopes
Authors: Ma Xuehai , Ma Yunqi , Cheng Huaide , Li Changzhong , Gu Huanen , Zhang Haiyun , Hai Qingyu
Published: April 2023

The reserves of nitrate (NO3-) mineral resources in the Turpan-Hami Basin in Xinjiang rank second after those in the Atacama Desert in Chile, South America. Considerable attention has been devoted to nitrogen (N) sources of NO3- deposits in recent years due to the increase in demand for NO3- fertilizers in agriculture and chemical industries. However, although the potassium nitrate (KNO3) deposits in the Uyunbulak salt lake in the Kumish basin, Xinjiang, China, have received increasing attention from numerous researchers in recent years, they all focused on the study of nitrate sources and agreed that the nitrate source in the Kumish basin is mainly atmospheric sedimentation. Studies on their water sources are scarce; for salt lake nitrate deposits, water supply also plays a crucial role in the genesis of the deposit. As a sensitive indicator, a boron isotope is often used to indicate water bodies from different sources. However, the presence of NO3- ions in water will interfere with the determination of boron isotopes, so the research on boron isotopes in nitrate salt lakes has been hindered. In this study, the three-step ion exchange method published by Ma et al. (2020) was used to eliminate the influence of NO3- ions in water on boron isotope determination, so as to reveal the water supply of Uyunbulak Salt Lake in Kumish basin by using boron isotopes which are more sensitive to water types. In this study, ice and snow meltwater, fissure water, groundwater, and surface water samples were collected from the Kumish basin and analyzed for the determination of boron (B) isotopic and hydrochemical compositions during the migration process of water bodies to reveal the recharge relationship between the water bodies from the northwestern margin of the basin and the study area. The obtained hydrochemical composition results showed a gradual increase in the salinity of the water body from 556 to 7372 mg/L from the northwestern to the southeastern parts of the basin, resulting in a gradual change in the hydrochemical facies type of Uyunbulak salt lake to NaCl. This finding suggested that the water body migrates from the northwestern to southeastern parts of the basin. The results of B isotope composition indicated two types of water bodies from different sources, namely, the ice and snow meltwater of the Southern part of the Tianshan Mountains and groundwater of the basin, exhibiting B isotope composition ranges of 26.66–27.26‰ and 12.75–15.19‰, respectively. These two types of water bodies are mixed at the Uzong spring (Q1). The ice and snow meltwater in the mixed water accounted for 46%, while the groundwater accounted for 54%. The mixed water continues to recharge the Uyunbulak Salt Lake in the southeastern part of the basin.
Exogenous Hydrogen Sulfide Activates PI3K/Akt/eNOS Pathway to Improve Replicative Senescence in Human Umbilical Vein Endothelial Cells
Authors: Niu Haiming , Li Jianwei , Liang Hongkai , Wu Guishen , Chen Miaolian
Published: April 2023

Background. Endothelial cell senescence is one of the key mechanistic factors in the pathogenesis of atherosclerosis. In terms of molecules, the phosphatidylinositol 3-kinase/protein kinase B/endothelial nitric oxide synthase (PI3K/Akt/eNOS) signaling plays an important role in the prevention and control of endothelial cell senescence, while hydrogen sulfide (H2S) improves the induced precocious senescence of endothelial cells through the PI3K/Akt/eNOS pathway. Comparatively, replicative senescence in endothelial cells is more in line with the actual physiological changes of human aging. This study aims to investigate the mechanism by which H2S improves endothelial cell replicative senescence and the involvement of the PI3K/Akt/eNOS pathway. Methods. we established a model of replicative senescence in human umbilical vein endothelial cells (HUVECs) and explored the effect of 200 μmol/L sodium hydrosulfide (NaHS; a donor of H2S) on senescence, which was determined by cell morphology, the expression level of plasminogen activator inhibitor 1 (PAI-1), and the positive rate of senescence-associated β-galactosidase (SA-β-Gal) staining. Cell viability was detected by MTT assay to evaluate the effect of NaHS and the PI3K inhibitor, LY294002. Meanwhile, the protein expression of PI3K, Akt, p-Akt, and eNOS in endothelial cells of each group was detected by Western blot. Results. the replicative senescence model was established in HUVECs at the passage of 16 cumulative cell population doubling values (CPDL). Treatment with NaHS not only significantly reduced the expression of PAI-1 and the positive rate of SA-β-Gal in HUVEC’s replicative senescence model but also notably increased the expression of PI3K, p-Akt, p-eNOS, and the content of nitric oxide(NO). However, the effects of NaHS on the expression of the pathway and the content of NO in HUVECs were abolished when LY294002 specifically inhibited PI3K. Conclusion. NaHS improves the replicative senescence of HUVECs with the contribution of the PI3K/Akt/eNOS pathway.
Effects of lncRNA HOXA11-AS on Sevoflurane-Induced Neuronal Apoptosis and Inflammatory Responses by Regulating miR-98-5p/EphA4
Authors: Zhao Li , Wang Zhonghui , Chen Haitao , Du Yaxi , Ma Weihao , Tao Qunfen , Ma Xiang , Wu Zeming , Peng Jing
Published: April 2023

Objective. To explore the molecular mechanism of sevoflurane-induced neurotoxicity and to determine whether lncRNA HOXA11-AS affects sevoflurane-induced neuronal apoptosis and inflammation by regulating miR-98-5p/EphA4. Methods. Morris water maze (MWM) test was used to detect the learning and memory ability of rats, HE staining was used to observe hippocampal pathology, TUNEL staining was used to detect the level of neuronal apoptosis, and RT-qPCR was used to detect the expression of HOXA11-AS, miR-98-5p, IL-6, IL-1β, and TNF-α. At the same time, the contents of IL-6, IL-1β, and TNF-α in serum were detected by ELISA. The expressions of apoptosis-related proteins EphA4, Bax, Cleaved caspase 3, and Bcl-2 were detected by Western blot. The dual-luciferase gene reporter verified the targeting relationship between HOXA11-AS and miR-98-5p and the targeting relationship between miR-98-5p and EphA4. Results. The expression of HOXA11-AS was observed in sevoflurane-treated rats or cells and promoted neuronal apoptosis and inflammation. HOXA11-AS was knocked out alone, or miR-98-5p was overexpressed which attenuates neuronal apoptosis and inflammatory inflammation after sevoflurane treatment. Furthermore, knockdown of HOXA11-AS alone was partially restored by knockdown of miR-98-5p or overexpression of EphA4. Conclusion. Inhibition of lncRNA HOXA11-AS attenuates sevoflurane-induced neuronal apoptosis and inflammatory responses via miR-98-5p/EphA4.
Effects of Environmental and Disturbance Factors on Plant Community Distribution in Tropical Moist Afromontane Forests, South-West Ethiopia
Authors: Tadese Semegnew , Soromessa Teshome , Gebeyehu Getaneh
Published: April 2023

This study was carried out to investigate the effects of environmental and disturbance factors on plant community distribution in the Majang Forest Biosphere Reserve (MFBR) in south-west Ethiopia. A systematic sample design was conducted to collect vegetation and environmental factors in four study sites. In a nested plot design, the vegetation data were collected from 140 main plots, i.e., 400 m2 (trees), 25 m2 subplots (shrubs, lianas, seedlings, and saplings), and 1 m2 (herbs), respectively. The plant community classification was performed using agglomerative hierarchical cluster analysis (Ward’s Linkage method) in R software (version 4.0.1). The distribution of plant communities along an environmental gradient was computed using canonical correspondence analysis (CCA). In this study, a total of 15 (9.5%) endemic plant species were recorded in MFBR. Four plant community types were identified, and these were Celtis zenkeri-Blighia unijugata, Pouteria altissima-Lecaniodiscus fraxinifolius, Antiaris toxicaria-Celtis toka, and Dracaena afromontana-Cyathea manniana. Environmental and disturbance factors, such as elevations, slopes, harvesting indexes, soil pH, silt, and herbaceous cover, were the most important for determining plant community distribution in the area. Elevation and slope were found to have a significant (P < 0.05) negative and positive relationship with species diversity and richness, respectively. Therefore, the finding of this study provides baseline information that could be necessary for making further conservation and management in MFBR.
Efficacy of Tunnel Technique (TUN) versus Coronally Advanced Flap (CAF) in the Management of Multiple Gingival Recession Defects: A Meta-Analysis
Authors: Mayta-Tovalino Frank , Barboza Joshuan J. , Pasupuleti Vinay , Hernandez Adrian V.
Published: April 2023

Objective. We systematically assessed the efficacy of tunnel technique (TUN) vs. coronally advanced flap (CAF) in the management of multiple gingival recession defects in adults. Methods. Five databases were searched until September 2021 for randomized controlled trials (RCTs) assessing TUN vs. CAF; grafts of interest were acellular dermal matrix (ADM) and connective tissue graft (CTG). Primary outcomes were root coverage (RC) and complete root coverage (CRC). Secondary outcomes were clinical attachment level (CAL), keratinized tissue width (KTW), probing depth (PD), and recession coverage (REC). Effect measures were risk ratio (RR) or mean difference (MD) with their confidence intervals (95% CI). Inverse variance methods and random-effects model meta-analyses were used. Subgroup analyses by the type of graft were performed. Quality of evidence was assessed using GRADE methodology. Results. Five RCTs (n = 173) were included, with a follow-up of 6 months for all outcomes. In comparison to CAF, TUN did not significantly reduce CRC (RR 0.65; 95% CI 0.002–176.7;

p
=
0.51

) and did not increase RC (MD 0.99%; 95% CI −6.7 to 8.6;

p
=
0.80

). In comparison to CAF, TUN showed no significant reduction of secondary outcomes. Subgroup analyses by type of graft showed no differences in comparison to primary analyses for primary and secondary outcomes. Three RCTs had a high risk of bias, and five RCTs had very low quality of evidence for all outcomes. Conclusions. In adults with gingival recessions, TUN had similar primary and secondary outcomes in comparison with CAF. Subgroup analyses by the type of graft did not affect main conclusions. More RCTs with better design are needed to further characterize the effects of TUN vs. CAF in the treatment of multiple gingival recession defects.
Practical Stability for Conformable Time-Delay Systems
Authors: Kharrat Maher , Gassara Hamdi , Rhaima Mohamed , Mchiri Lassaad , Ben Makhlouf A.
Published: April 2023

This article investigates the practical exponential stability and design problems of conformable time-delay systems. Sufficient conditions that confirm the practical exponential stability and design of the proposed class of systems are given by utilizing an adequate Lyapunov–Krasovskii functional (L-KF). These conditions are expressed in the form of linear matrix inequalities (LMI) which could be solved by using solvers in LMI Toolbox of MATLAB. Two numerical examples are given to illustrate the applicability of the proposed results.
Supplementary Information from Heterogeneity of Circulating Tumor Cell–Associated Genomic Gains in Breast Cancer and Its Association with the Host Immune Response
Authors: Kanwar Nisha , Balde Zaldy , Nair Ranju , Dawe Melanie , Chen Shiyi , Maganti Manjula , Atenafu Eshetu G. , Manolescu Sabrina , Wei Carrie , Mao Amanda , Fu Fred , Wang Dan , Cheung Alison , Yerofeyeva Yulia , Peters Rachel , Liu Kela , Desmedt Christine , Sotiriou Christos , Szekely Borbala , Kulka Janina , McKee Trevor D. , Hirano Naoto , Bartlett John M.S. , Yaffe Martin J. , Bedard Philippe L. , McCready David , Done Susan J.
Published: April 2023

Includes Supplemental Figure S1 and Supplemental Tables S1-S7
Supplementary materials and methods from BAFF Attenuates Immunosuppressive Monocytes in the Melanoma Tumor Microenvironment
Authors: Liu Wei , Stachura Paweł , Xu Haifeng C. , Váraljai Renáta , Shinde Prashant , Ganesh Nikkitha Umesh , Mack Matthias , Van Lierop Anke , Huang Anfei , Sundaram Balamurugan , Lang Karl S. , Picard Daniel , Fischer Ute , Remke Marc , Homey Bernhard , Roesch Alexander , Häussinger Dieter , Lang Philipp A. , Borkhardt Arndt , Pandyra Aleksandra A.
Published: April 2023

Supplementary materials and methods
Supplementary Table 2 from BAFF Attenuates Immunosuppressive Monocytes in the Melanoma Tumor Microenvironment
Authors: Liu Wei , Stachura Paweł , Xu Haifeng C. , Váraljai Renáta , Shinde Prashant , Ganesh Nikkitha Umesh , Mack Matthias , Van Lierop Anke , Huang Anfei , Sundaram Balamurugan , Lang Karl S. , Picard Daniel , Fischer Ute , Remke Marc , Homey Bernhard , Roesch Alexander , Häussinger Dieter , Lang Philipp A. , Borkhardt Arndt , Pandyra Aleksandra A.
Published: April 2023

Supplementary Table 2 provides the clinical details of melanoma patients treated with immunotherapy
Supplementary Table 1 from BAFF Attenuates Immunosuppressive Monocytes in the Melanoma Tumor Microenvironment
Authors: Liu Wei , Stachura Paweł , Xu Haifeng C. , Váraljai Renáta , Shinde Prashant , Ganesh Nikkitha Umesh , Mack Matthias , Van Lierop Anke , Huang Anfei , Sundaram Balamurugan , Lang Karl S. , Picard Daniel , Fischer Ute , Remke Marc , Homey Bernhard , Roesch Alexander , Häussinger Dieter , Lang Philipp A. , Borkhardt Arndt , Pandyra Aleksandra A.
Published: April 2023

Supplementary Table 1 provides a list of significantly changed genes between monocytes harvested from BAFF and control tumors
Supplementary Figures and Table legends from Clonal Hematopoiesis Mutations in Patients with Lung Cancer Are Associated with Lung Cancer Risk Factors
Authors: Hong Wei , Li Ang , Liu Yanhong , Xiao Xiangjun , Christiani David C. , Hung Rayjean J. , McKay James , Field John , Amos Christopher I. , Cheng Chao
Published: April 2023

Supplementary Figures S1-S3, corresponded figure legends, and legends of supplementary table S1-S3
Supplementary Figure7 from BAFF Attenuates Immunosuppressive Monocytes in the Melanoma Tumor Microenvironment
Authors: Liu Wei , Stachura Paweł , Xu Haifeng C. , Váraljai Renáta , Shinde Prashant , Ganesh Nikkitha Umesh , Mack Matthias , Van Lierop Anke , Huang Anfei , Sundaram Balamurugan , Lang Karl S. , Picard Daniel , Fischer Ute , Remke Marc , Homey Bernhard , Roesch Alexander , Häussinger Dieter , Lang Philipp A. , Borkhardt Arndt , Pandyra Aleksandra A.
Published: April 2023

Figure S7 shows the individual tumor growths comprising the main figures
Supplementary Figure 6 from BAFF Attenuates Immunosuppressive Monocytes in the Melanoma Tumor Microenvironment
Authors: Liu Wei , Stachura Paweł , Xu Haifeng C. , Váraljai Renáta , Shinde Prashant , Ganesh Nikkitha Umesh , Mack Matthias , Van Lierop Anke , Huang Anfei , Sundaram Balamurugan , Lang Karl S. , Picard Daniel , Fischer Ute , Remke Marc , Homey Bernhard , Roesch Alexander , Häussinger Dieter , Lang Philipp A. , Borkhardt Arndt , Pandyra Aleksandra A.
Published: April 2023

Figure S6 shows the differences in BAFF and S100 levels between immunotherapy responders and non-responders
Supplementary Figure 4 from BAFF Attenuates Immunosuppressive Monocytes in the Melanoma Tumor Microenvironment
Authors: Liu Wei , Stachura Paweł , Xu Haifeng C. , Váraljai Renáta , Shinde Prashant , Ganesh Nikkitha Umesh , Mack Matthias , Van Lierop Anke , Huang Anfei , Sundaram Balamurugan , Lang Karl S. , Picard Daniel , Fischer Ute , Remke Marc , Homey Bernhard , Roesch Alexander , Häussinger Dieter , Lang Philipp A. , Borkhardt Arndt , Pandyra Aleksandra A.
Published: April 2023

Figure S4 shows the gating strategy of monocytes sorted from BAFF-expressing and control tumors
Supplementary Data from Longitudinal SARS-CoV-2 mRNA Vaccine-Induced Humoral Immune Responses in Patients with Cancer
Authors: Figueiredo Jane C. , Merin Noah M. , Hamid Omid , Choi So Yung , Lemos Tucker , Cozen Wendy , Nguyen Nathalie , Finster Laurel J. , Foley Joslyn , Darrah Justin , Gong Jun , Paquette Ronald , Mita Alain C. , Vescio Robert , Mehmi Inderjit , Basho Reva , Tourtellotte Warren G. , Huynh Carissa A. , Melmed Gil Y. , Braun Jonathan , McGovern Dermot P.B. , Mengesha Emebet , Botwin Greg , Prostko John C. , Frias Edwin C. , Stewart James L. , Joung Sandy , Van Eyk Jennifer , Ebinger Joseph E. , Cheng Susan , Sobhani Kimia , Reckamp Karen L. , Merchant Akil
Published: April 2023

Supplementary Data
Supplementary Figure 2 from BAFF Attenuates Immunosuppressive Monocytes in the Melanoma Tumor Microenvironment
Authors: Liu Wei , Stachura Paweł , Xu Haifeng C. , Váraljai Renáta , Shinde Prashant , Ganesh Nikkitha Umesh , Mack Matthias , Van Lierop Anke , Huang Anfei , Sundaram Balamurugan , Lang Karl S. , Picard Daniel , Fischer Ute , Remke Marc , Homey Bernhard , Roesch Alexander , Häussinger Dieter , Lang Philipp A. , Borkhardt Arndt , Pandyra Aleksandra A.
Published: April 2023

Figure S2 shows the IgG and IgM in BAFF-expressing and control tumors
Supplementary Figure 1 from BAFF Attenuates Immunosuppressive Monocytes in the Melanoma Tumor Microenvironment
Authors: Liu Wei , Stachura Paweł , Xu Haifeng C. , Váraljai Renáta , Shinde Prashant , Ganesh Nikkitha Umesh , Mack Matthias , Van Lierop Anke , Huang Anfei , Sundaram Balamurugan , Lang Karl S. , Picard Daniel , Fischer Ute , Remke Marc , Homey Bernhard , Roesch Alexander , Häussinger Dieter , Lang Philipp A. , Borkhardt Arndt , Pandyra Aleksandra A.
Published: April 2023

Figure S1 shows the in vitro characterization of the BAFF-expressing melanoma cell line
Supplementary Figure Legends from Novel Oncogenic Transcription Factor Cooperation in RB-Deficient Cancer
Authors: Mandigo Amy C. , Shafi Ayesha A. , McCann Jennifer J. , Yuan Wei , Laufer Talya S. , Bogdan Denisa , Gallagher Lewis , Dylgjeri Emanuela , Semenova Galina , Vasilevskaya Irina A. , Schiewer Matthew J. , McNair Chris M. , de Bono Johann S. , Knudsen Karen E.
Published: April 2023

Supplemental Figure Legends
Figure 4 from Novel Oncogenic Transcription Factor Cooperation in RB-Deficient Cancer
Authors: Mandigo Amy C. , Shafi Ayesha A. , McCann Jennifer J. , Yuan Wei , Laufer Talya S. , Bogdan Denisa , Gallagher Lewis , Dylgjeri Emanuela , Semenova Galina , Vasilevskaya Irina A. , Schiewer Matthew J. , McNair Chris M. , de Bono Johann S. , Knudsen Karen E.
Published: April 2023

Supplemental Figure 4