bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the variable‐order fractional viscoelastic modeling with application to polymer materials
Authors: Han Baozhi , Yin Deshun , Gao Yunfei 
Published: May 2023

AbstractThe variable‐order fractional (VOF) operator has been extensively employed to depict complex physical phenomena of viscoelastic materials, during which the reasonable form of the proper variable‐order (VO) function will significantly affect the applicability and accuracy of proposed fractional model. To this regard, this work aims to provide a technical guidance for VO function selection in VOF viscoelastic modeling. In this paper, we develop a VOF model based on the classical Zener model, the suitable VO function form and the applicability of VOF model are investigated by means of characterizing the stress relaxation and creep recovery behaviors, in which the monotonicity of VO functions (decreasing or increasing) are discussed in detail. The results demonstrate that the stress relaxation and creep recovery responses have a realistic physical meaning only when the VOF rheological model with a monotonically decreasing VO function. Furthermore, three definitions of VOFD are also considered to determine the optimal VO function form and the reasonability of the proposed model is validated by fitting the experimental data of polymer matric materials. The analysis found that the decreasing exponential VO function exhibits good prospects in describing the time‐dependent behaviors, and it was found that the V2 and V3 definition types performed better. The results also show that the proposed model has unique advantage compared to the other existing viscoelastic models. Finally, the proposed VOF model is employed to predict the viscoelastic behavior to test the model's predictive ability.
Neural networks for fast fluvial flood predictions: Too good to be true?
Authors: Bomers Anouk , Hulscher Suzanne J. M. H. 
Published: May 2023

AbstractAccurate models with low computational times are required to predict the consequences of fluvial floods in real‐time. Even though detailed hydraulic models can predict flood water levels and corresponding inundation extents with high accuracy, their computational times limit their applicability to being used as a flood early‐warning system. Therefore, conceptual models were developed in the literature for many years. These types of models do not attempt to represent the complex dynamic flood generation processes but are based on simplified hydraulic concepts, generally only using a digital elevation model as input. However, a shift in this research field is currently present from conceptual models to data‐driven models, and more specifically to neural networks. This paper discusses the benefits and drawbacks of both modelling approaches and speculates which method is most promising to be used as a flood warning system to predict the consequences of fluvial floods in real‐time.
Novel Starchy Materials Isolated from Andean Native Potatoes: Physical–Chemical and Functional Characterization and Application in Edible Film Production
Authors: Choquetico Iquiapaza Ivone Yanira , Medrano Jhenifer Peralta , Aguilar Guilherme José , Tapia‐Blácido Delia Rita 
Published: May 2023

AbstractStarchy materials are extracted from five Andean native potato varieties—Yana Puma Maqui (YP), Yana Winku (YW), Mulu Mata (MM), Qeqorani (Q), and Kuchi Aqcha (KA)—and characterized. Edible films from potato starchy materials are then produced and characterized. The YP and YW starchy materials show better antioxidant activity. The YP starchy material presents the largest particle size, the lowest starch content, and the highest amylose content, which decreases its swelling power and prevents granules from being disrupted at high temperatures. The YP starchy material films have high mechanical strength, but they are the most hydrophilic. The KA starchy material yields a gel with greater clarity and less tendency to retrograde. Because of its high amylopectin content, its films are more elongatable and less hydrophilic and have the lowest mechanical strength. The MM starchy material presents the smallest particle size, which increases its thermal stability and decreases its swelling power and amylose leaching. This starchy material yields a less soluble gel with less clarity at 25, 4, and −18 °C, and its films are the most elongatable. Meanwhile, the YW starchy material has the greatest swelling power, which results in thicker films with better mechanical properties and water resistance.
A mechanistic study of the fire performance of the silica and zinc borate nanoparticles‐incorporated intumescent coatings based on epoxy resin
Authors: Dovom‐Niasar Saman Jafari , Seifi Azadeh , Bahramian Ahmad Reza , Abzal Ali 
Published: May 2023

AbstractAn epoxy‐based intumescent coating containing the silica and zinc borate nanoparticles was fabricated. The fire performance of the coating with the optimum formulation was investigated in terms of the changes in the physical and chemical structure of the formed char layer during the exposure to a temperature of 1000°C. The state of the chemical structure was analyzed by performing the Fourier‐transform infrared spectroscopy, x‐ray diffraction, and x‐ray photoelectron spectroscopy analysis from the char layer at the three‐time intervals of 10, 30, and 60 min of the heating process. The innovative Condorcet method was also employed to examine the changes in the physical structure of the formed char layer. Some instabilities were detected in the physical structure of the char layer in the middle period of heating. Moreover, a gradual formation of silicon carbide crystalline structure was observed on top of the surface, followed by its oxidation to silica over time. In contrast, in the bulk structure, silicon crystalline structures (Coesite) intensified with time. Boron nitride was also increasingly created on the top surface and in the bulk of the coating over the heating time. These findings proved the effective role of the silica and zinc‐borate nanoparticles in the fire performance of epoxy‐based intumescent coatings.
Military Trauma and the Conflicted Human Condition: Moral Injury as a Window into Violence, Human Nature and Military Ethics
Authors: Molendijk Tine 
Published: May 2023

AbstractExperiences of trauma not only shed light on a person’s mental injuries themselves, but also bring to the surface several broader tensions and vulnerabilities underlying these injuries, which normally remain hidden This is especially true for moral injury, which refers to the lasting psychological impact of tragic dilemmas and moral transgressions. This chapter considers moral injury in this sense. First, it explains moral conflict as inherently part of human nature. Next, it shows how veterans’ stories of moral injury offer important insights into violence, human nature and military ethics, at the level of the individual soldier’s psyche, the relationship between soldier and society, and society. Finally, it reflects on the implications of these insights for military ethics.
Mechanical characterization of thermoplastic elastomers based on olefin processed through material extrusion
Authors: Adrover-Monserrat Bàrbara , Llumà Jordi , Jerez-Mesa Ramón , Travieso-Rodriguez J. Antonio 
Published: May 2023

AbstractThermoplastic elastomeric materials are processable through 3D printing. These materials demonstrate excellent mechanical properties, along with good flexibility. A better understanding of the creation of bonds between the filaments of these copolymers is still needed. When extruded, these materials have shown to have a different behavior compared to commonly known thermoplastic materials. The methodology, hereby presented, relies on the tensile tests of 3D-printed samples of two thermoplastic elastomers based on olefin: TPO 90A and TPO 96A. In order to study the effect of printing parameters on the mechanical behavior of the samples, these have been manufactured following a full factorial design of experiments. Statistical influences were evaluated with an analysis of variance. Layer height and fill density were the variable parameters. Eventually, these two parameters were shown to have a significant effect on the mechanical properties studied (Young’s modulus and yield strength). Once all the results were analyzed, the presented methodology was applied to another set of specimens. These had been manufactured with a different printer and with the same material but colored. The analysis of variance showed that, although the mechanical properties were affected by the color pigments, the trends of this analysis and the recommended manufacturing values did not vary. The results showed that when working with thermoplastic elastomers and in order to maximize Young’s modulus and yield strength, a 0.3-mm layer height and a 75% fill density should be selected.
Two Medicago truncatula growth-promoting rhizobacteria capable of limiting in vitro growth of the Fusarium soil-borne pathogens modulate defense genes expression
Authors: Karczyński Piotr , Orłowska Anna , Kępczyńska Ewa 
Published: May 2023

Abstract
Main conclusion
PGPRs: P. fluorescens Ms9N and S. maltophilia Ll4 inhibit in vitro growth of three legume fungal pathogens from the genus Fusarium. One or both trigger up-regulation of some genes (CHIT, GLU, PAL, MYB, WRKY) in M. truncatula roots and leaves in response to soil inoculation.

Abstract
Pseudomonas fluorescens (referred to as Ms9N; GenBank accession No. MF618323, not showing chitinase activity) and Stenotrophomonas maltophilia (Ll4; GenBank accession No. MF624721, showing chitinase activity), previously identified as promoting growth rhizobacteria of Medicago truncatula, were found, during an in vitro experiment, to exert an inhibitory effect on three soil-borne fungi: Fusarium culmorum Cul-3, F. oxysporum 857 and F. oxysporum f. sp. medicaginis strain CBS 179.29, responsible for serious diseases of most legumes including M. truncatula. S. maltophilia was more active than P. fluorescens in suppressing the mycelium growth of two out of three Fusarium strains. Both bacteria showed β-1,3-glucanase activity which was about 5 times higher in P. fluorescens than in S. maltophilia. Upon soil treatment with a bacterial suspension, both bacteria, but particularly S. maltophilia, brought about up-regulation of plant genes encoding chitinases (MtCHITII, MtCHITIV, MtCHITV), glucanases (MtGLU) and phenylalanine ammonia lyases (MtPAL2, MtPAL4, MtPAL5). Moreover, the bacteria up-regulate some genes from the MYB (MtMYB74, MtMYB102) and WRKY (MtWRKY6, MtWRKY29, MtWRKY53, MtWRKY70) families which encode TFs in M. truncatula roots and leaves playing multiple roles in plants, including a defense response. The effect depended on the bacterium species and the plant organ. This study provides novel information about effects of two M. truncatula growth-promoting rhizobacteria strains and suggests that both have a potential to be candidates for PGPR inoculant products on account of their ability to inhibit in vitro growth of Fusarium directly and indirectly by up-regulation of some defense priming markers such as CHIT, GLU and PAL genes in plants. This is also the first study of the expression of some MYB and WRKY genes in roots and leaves of M. truncatula upon soil treatment with two PGPR suspensions.
Nucleus incertus projections to rat medial septum and entorhinal cortex: rare collateralization and septal-gating of temporal lobe theta rhythm activity
Authors: Gil-Miravet Isis , Núñez-Molina Ángel , Navarro-Sánchez Mónica , Castillo-Gómez Esther , Ros-Bernal Francisco , Gundlach Andrew L. , Olucha-Bordonau Francisco E. 
Published: May 2023

AbstractNucleus incertus (NI) neurons in the pontine tegmentum give rise to ascending forebrain projections and express the neuropeptide relaxin-3 (RLN3) which acts via the relaxin-family peptide 3 receptor (RXFP3). Activity in the hippocampus and entorhinal cortex can be driven from the medial septum (MS), and the NI projects to all these centers, where a prominent pattern of activity is theta rhythm, which is related to spatial memory processing. Therefore, we examined the degree of collateralization of NI projections to the MS and the medial temporal lobe (MTL), comprising medial and lateral entorhinal cortex (MEnt, LEnt) and dentate gyrus (DG), and the ability of the MS to drive entorhinal theta in the adult rat. We injected fluorogold and cholera toxin-B into the MS septum and either MEnt, LEnt or DG, to determine the percentage of retrogradely labeled neurons in the NI projecting to both or single targets, and the relative proportion of these neurons that were RLN3-positive ( +). The projection to the MS was threefold stronger than that to the MTL. Moreover, a majority of NI neurons projected independently to either MS or the MTL. However, RLN3 + neurons collateralize significantly more than RLN3-negative (–) neurons. In in vivo studies, electrical stimulation of the NI induced theta activity in the MS and the entorhinal cortex, which was impaired by intraseptal infusion of an RXFP3 antagonist, R3(BΔ23-27)R/I5, particularly at ~ 20 min post-injection. These findings suggest that the MS plays an important relay function in the NI-induced generation of theta within the entorhinal cortex.
Minimum Degree Stability of H-Free Graphs
Authors: Illingworth Freddie 
Published: May 2023

AbstractGiven an $$(r + 1)$$

(
r
+
1
)

-chromatic graph H, the fundamental edge stability result of Erdős and Simonovits says that all n-vertex H-free graphs have at most $$(1 - 1/r + o(1)) \binom{n}{2}$$

(
1
-
1
/
r
+
o

(
1
)

)

n
2

edges, and any H-free graph with that many edges can be made r-partite by deleting $$o(n^{2})$$

o
(

n
2

)

edges. Here we consider a natural variant of this—the minimum degree stability of H-free graphs. In particular, what is the least c such that any n-vertex H-free graph with minimum degree greater than cn can be made r-partite by deleting $$o(n^{2})$$

o
(

n
2

)

edges? We determine this least value for all 3-chromatic H and for very many non-3-colourable H (all those in which one is commonly interested) as well as bounding it for the remainder. This extends the Andrásfai-Erdős-Sós theorem and work of Alon and Sudakov.
End-to-end optical music recognition for pianoform sheet music
Authors: Ríos-Vila Antonio , Rizo David , Iñesta José M. , Calvo-Zaragoza Jorge 
Published: May 2023

AbstractEnd-to-end solutions have brought about significant advances in the field of Optical Music Recognition. These approaches directly provide the symbolic representation of a given image of a musical score. Despite this, several documents, such as pianoform musical scores, cannot yet benefit from these solutions since their structural complexity does not allow their effective transcription. This paper presents a neural method whose objective is to transcribe these musical scores in an end-to-end fashion. We also introduce theGrandStaffdataset, which contains 53,882 single-system piano scores in common western modern notation. The sources are encoded in both a standard digital music representation and its adaptation for current transcription technologies. The method proposed in this paper is trained and evaluated using this dataset. The results show that the approach presented is, for the first time, able to effectively transcribe pianoform notation in an end-to-end manner.
Beyond starving cancer: anti-angiogenic therapy
Authors: Hida Kyoko , Maishi Nako , Matsuda Aya , Yu Li 
Published: May 2023

AbstractTumor blood vessels contribute to cancer progression by supplying nutrients and oxygen to the tumor, removing waste products, and providing a pathway to distant organs. Current angiogenesis inhibitors primarily target molecules in the vascular endothelial growth factor (VEGF) signaling pathway, inhibiting cancer growth and metastasis by preventing the formation of blood vessels that feed cancer. They also normalize vascular structural abnormalities caused by excess VEGF and improve reflux, resulting in increased drug delivery to cancer tissue and immune cell mobilization. As a result, by normalizing blood vessels, angiogenesis inhibitors have been shown to enhance the effects of chemotherapy and immunotherapy. We present findings on the characteristics of tumor vascular endothelial cells that angiogenesis inhibitors target.
Measuring Symptom-Specific Panic-Relevant Associations Using Single-Target Implicit Association Tests
Authors: Blackwell Simon E. , Wilhelm Frank H. , Reinecke Andrea , Margraf Jürgen , Woud Marcella L. 
Published: May 2023

Abstract
Background
According to major cognitive accounts of panic disorder, bodily sensations can lead to automatic activation of an associative fear network, potentially triggering a cascade of cognitive, emotional, and physiological responses culminating in a panic attack. However, the evidence for the automatic associations assumed by these models is mixed. This may reflect the heterogeneous nature of panic disorder, in that the relative importance of different bodily sensations and symptoms varies between individuals. The current study aimed to test this possibility via measuring the associations between three different sets of panic symptoms (cognitive, respiratory, cardiac) and scores on three symptom-specific single target implicit association tests (STIATs).

Methods
A total of 226 unselected female participants aged 18–35 completed the STIATs as well as questionnaires assessing panic symptoms and related measures in a web-based study.

Results
Only limited evidence was found to support the idea of specific associations between STIAT stimuli sets and their related panic symptoms. Exploratory analyses indicated that there were only associations between STIAT scores and panic-relevant questionnaires amongst those participants who had experienced a panic attack in the previous 6 months.

Conclusions
The results have implications for measuring panic-relevant associations and understanding their role in panic disorder.
How to conduct systematic literature reviews in management research: a guide in 6 steps and 14 decisions
Authors: Sauer Philipp C. , Seuring Stefan 
Published: May 2023

AbstractSystematic literature reviews (SLRs) have become a standard tool in many fields of management research but are often considerably less stringently presented than other pieces of research. The resulting lack of replicability of the research and conclusions has spurred a vital debate on the SLR process, but related guidance is scattered across a number of core references and is overly centered on the design and conduct of the SLR, while failing to guide researchers in crafting and presenting their findings in an impactful way. This paper offers an integrative review of the widely applied and most recent SLR guidelines in the management domain. The paper adopts a well-established six-step SLR process and refines it by sub-dividing the steps into 14 distinct decisions: (1) from the research question, via (2) characteristics of the primary studies, (3) to retrieving a sample of relevant literature, which is then (4) selected and (5) synthesized so that, finally (6), the results can be reported. Guided by these steps and decisions, prior SLR guidelines are critically reviewed, gaps are identified, and a synthesis is offered. This synthesis elaborates mainly on the gaps while pointing the reader toward the available guidelines. The paper thereby avoids reproducing existing guidance but critically enriches it. The 6 steps and 14 decisions provide methodological, theoretical, and practical guidelines along the SLR process, exemplifying them via best-practice examples and revealing their temporal sequence and main interrelations. The paper guides researchers in the process of designing, executing, and publishing a theory-based and impact-oriented SLR.
Myc derived circRNA promotes triple-negative breast cancer progression via reprogramming fatty acid metabolism
Authors: Wang Shengting , Wang Yufang , Wang Yue , Li Qian , Zeng Kaixuan , Li Xiaoming , Feng Xinghua 
Published: May 2023

AbstractMyc is a well-known proto-oncogene that is frequently amplified and activated in breast cancer, especially in triple-negative breast cancer (TNBC). However, the role of circular RNA (circRNA) generated by Myc remains unclear. Herein, we found that circMyc (hsa_circ_0085533) was remarkably upregulated in TNBC tissues and cell lines, which was attributed to gene amplification. Genetic knockdown of circMyc mediated by lentiviral vector significantly inhibited TNBC cell proliferation and invasion. Importantly, circMyc increased cellular triglycerides, cholesterols and lipid droplet contents. CircMyc was detected in both cytoplasm and nucleus, cytoplasmic circMyc could directly bind to HuR protein, facilitating the binding of HuR to SREBP1 mRNA, resulting in increasing SREBP1 mRNA stability. Nuclear circMyc bound to Myc protein, facilitating the occupation of Myc on SREBP1 promoter, leading to increasing SREBP1 transcription. As a result, the elevated SREBP1 increased the expression of its downstream lipogenic enzymes, enhancing lipogenesis and TNBC progression. Moreover, the orthotopic xenograft model showed that depletion of circMyc markedly inhibited lipogenesis and reduced tumor size. Clinically, high circMyc was closely related to larger tumor volume, later clinical stage and lymph node metastasis, functioning as an adverse prognostic factor. Collectively, our findings characterize a novel Myc-derived circRNA controlling TNBC tumorigenesis via regulation of metabolic reprogramming, implying a promising therapeutic target.
Low-Cost Rotor Balance Training Design
Authors: Figueroa Díaz R. A. , Balvantín García A.deJ. , Cruz Alcantar P. , Rangel Lucas L. , Esquer Barahona L. , Ramírez Elías V. A. 
Published: May 2023

Abstract
This work proposes the low-cost design and manufacture of an experimental rotor for specialized undergraduate training in the field of mechanical vibrations. Likewise, the plane balancing methodology is presented using the influence coefficient method. To keep costs low, a commercial rotating element will be used in which balancing planes will be assembled at the ends, ensuring that the rotating system’s nominal speed passes through two of its natural frequencies. This training prototype will improve learning by theoretically and experimentally analyzing the concepts of influence coefficient balancing using an international standard.
RETRACTED ARTICLE: Sustainable and optimal design of Chinese herbal medicine supply chain network based on risk dynamic regulation mechanism
Authors: Wu Yao , Liu Weiwei 
Published: May 2023

AbstractWe propose a robust fuzzy design model for a sustainable closed-loop supply chain network. The model is based on a risk dynamic regulation mechanism. In this way, we can solve the problem of sudden disruptions and uncertain demand in the supply chain of Chinese herbal medicines. We also develop a hybrid algorithm solution to solve the model and design a resilient supply chain network. The specific steps are as follows: (1) The risk dynamic regulation mechanism is created with strong risk resistance by considering the information sharing platform, facility defense, drying station scheduling, safety stock, and shared inventory. (2) Based on the dynamic risk regulation mechanism, we establish a sustainable Chinese herbal medicine supply chain network design model. Then, we use the robust fuzzy method and the epsilon constraint to deal with the uncertainty and integrate the model. (3) We introduce opposition-based learning, cosine convergence factor, and levy flight to the original Whale and Grey wolf algorithms to obtain the Hybrid algorithm, which is used to solve the processed model. The results show the model and algorithm proposed in this paper have strong applicability and advantages in designing closed-loop supply chain networks for Chinese herbal medicine and provide references for relevant decision-makers.