bluuebunny/crossref_metadata_2025_split huggingface dataset:
Role of Crystal Orientation in the Dynamic Strength of Magnesium Alloy AZ31B
Authors: Jonsson J. C. , Chapman D. J. , Farbaniec L. , Escauriza E. M. , Smith L. C. , Eakins D. E. 
Published: July 2023

AbstractThe effect of grain orientation distribution on the dynamic strength of highly textured magnesium alloy AZ31B has been studied in a series of plate-impact experiments. Specimens with thicknesses between 0.45 mm and 2 mm were cut parallel and perpendicular to the material extrusion direction and shock loaded to impact stresses between 1.4 GPa and 3.4 GPa. The dynamic strength is found to be highly dependent on the loading direction, with loading along the extrusion direction exhibiting significantly higher Hugoniot elastic limits than the transverse direction, including a much slower precursor decay rate. Application of an orientation-based analysis framework shows that the yield point of the polycrystalline material can be predicted reasonably well from its grain orientation distribution, predicated upon the use of dynamic critical resolved shear stress values from single-crystal data modified by a fitted strengthening factor. It is shown that the strong dependence on loading orientation in Mg AZ31 is caused by the relative differences in slip system activity and the slip anisotropies inherent to the hexagonal close packed crystal structure.
Design model for assembly lines including fractional tasks and parallel workstations
Authors: Renna Paolo 
Published: July 2023

AbstractIn recent years, the use of robots and cobots allow to increase productivity and quality of products. Due to the higher investment, the robustness and efficiency of flow lines are crucial to reduce the throughput loss. The solution of installing buffers between stations increases costs and factory space. To improve the efficiency and robustness of assembly lines, the literature proposed some variants to the simple assembly line balancing problem. The introduction of fractional tasks and parallel workstations are two promising models proposed in recent works to reduce throughput loss caused by short failures. The potential of the two approaches has been studied individually, but no work has evaluated the integration of fractional and parallel tasks can further improve the efficiency of the production lines. This paper proposes a matheurstic method to design assembly lines integrating fractional tasks and parallel workstations. The approach proposed aims to reduce the computational complexity of the design of the assembly lines and provides a series of design alternatives. The simulation model tests the robustness of the design alternatives against short failures. The numerical results highlight how the proposed model improves the performance and the robustness of the assembly line when unforeseen events such as failures occur. The integration of fractional tasks and parallel tasks can improve the robustness against short failures. This benefit is relevant for robotic assembly lines, and the increasing use of cobots that are mainly used in the automotive, electronics sector, and metal machinery industries.
Economic Development in West Sichuan: The Case of Daocheng County
Authors: Holz Carsten A. 
Published: July 2023

AbstractEconomic development of a remote, mountainous region poses a challenge anywhere. Based on field research and documentary evidence, this article examines how such a development challenge has been addressed in Daocheng county, Ganzi Tibetan Autonomous Prefecture, Sichuan province. In doing so, it investigates the different forms of economic development, how such development comes about, and the role played by government in economic development. The article also probes the broader socioeconomic consequences of economic development. The fact that Daocheng is a predominantly Tibetan county adds a nationality dimension to the issue of economic development.
A Depth‐Averaged Material Point Method for Shallow Landslides: Applications to Snow Slab Avalanche Release
Authors: Guillet Louis , Blatny Lars , Trottet Bertil , Steffen Denis , Gaume Johan 
Published: July 2023

AbstractShallow landslides pose a significant threat to people and infrastructure. Despite significant progress in the understanding of such phenomena, the evaluation of the size of the landslide release zone, a crucial input for risk assessment, still remains a challenge. While often modeled based on limit equilibrium analysis, finite or discrete elements, continuum particle‐based approaches like the Material Point Method (MPM) have more recently been successful in modeling their full 3D elasto‐plastic behavior. In this paper, we develop a depth‐averaged Material Point Method (DAMPM) to efficiently simulate shallow landslides over complex topography based on both material properties and terrain characteristics. DAMPM is a rigorous mechanical framework which is an adaptation of MPM with classical shallow water assumptions, thus enabling large‐deformation elasto‐plastic modeling of landslides in a computationally efficient manner. The model is here demonstrated on the release of snow slab avalanches, a specific type of shallow landslides which release due to crack propagation within a weak layer buried below a cohesive slab. Here, the weak layer is considered as an external shear force acting at the base of an elastic‐brittle slab. We verify our model against previous analytical calculations and numerical simulations of the classical snow fracture experiment known as Propagation Saw Test. Furthermore, large scale simulations are conducted to investigate cross‐slope crack propagation and the complex interplay between weak layer dynamic failure and slab fracture. In addition, these simulations allow us to evaluate and discuss the shape and size of avalanche release zones over different topographies. Given the low computational cost compared to 3D MPM, we expect our work to have important operational applications in hazard assessment, in particular for the evaluation of release areas, a crucial input for geophysical mass flow models. Our approach can be easily adapted to simulate both the initiation and dynamics of various shallow landslides, debris and lava flows, glacier creep and calving.
A paraventricular thalamus to insular cortex glutamatergic projection gates “emotional” stress-induced binge eating in females
Authors: G. Anversa Roberta , Campbell Erin J. , Walker Leigh C. , S. Ch’ng Sarah , Muthmainah Muthmainah , S. Kremer Frederico , M. Guimarães Amanda , O’Shea Mia J. , He Suheng , Dayas Christopher V. , Andrews Zane B. , Lawrence Andrew J. , Brown Robyn M. 
Published: July 2023

AbstractIt is well-established that stress and negative affect trigger eating disorder symptoms and that the brains of men and women respond to stress in different ways. Indeed, women suffer disproportionately from emotional or stress-related eating, as well as associated eating disorders such as binge eating disorder. Nevertheless, our understanding of the precise neural circuits driving this maladaptive eating behavior, particularly in women, remains limited. We recently established a clinically relevant model of ‘emotional’ stress-induced binge eating whereby only female mice display binge eating in response to an acute “emotional” stressor. Here, we combined neuroanatomic, transgenic, immunohistochemical and pathway-specific chemogenetic approaches to investigate whole brain functional architecture associated with stress-induced binge eating in females, focusing on the role of Vglut2 projections from the paraventricular thalamus (PVTVglut2+) to the medial insular cortex in this behavior. Whole brain activation mapping and hierarchical clustering of Euclidean distances revealed distinct patterns of coactivation unique to stress-induced binge eating. At a pathway-specific level, PVTVglut2+ cells projecting to the medial insular cortex were specifically activated in response to stress-induced binge eating. Subsequent chemogenetic inhibition of this pathway suppressed stress-induced binge eating. We have identified a distinct PVTVglut2+ to insular cortex projection as a key driver of “emotional” stress-induced binge eating in female mice, highlighting a novel circuit underpinning this sex-specific behavior.
Cardiac contraction and relaxation are regulated by distinct subcellular cAMP pools
Authors: Lin Ting-Yu , Mai Quynh N. , Zhang Hao , Wilson Emily , Chien Huan-Chieh , Yee Sook Wah , Giacomini Kathleen M. , Olgin Jeffrey E. , Irannejad Roshanak 
Published: July 2023

AbstractCells interpret a variety of signals through G-protein-coupled receptors (GPCRs) and stimulate the generation of second messengers such as cyclic adenosine monophosphate (cAMP). A long-standing puzzle is deciphering how GPCRs elicit different physiological responses despite generating similar levels of cAMP. We previously showed that some GPCRs generate cAMP from both the plasma membrane and the Golgi apparatus. Here we demonstrate that cardiomyocytes distinguish between subcellular cAMP inputs to elicit different physiological outputs. We show that generating cAMP from the Golgi leads to the regulation of a specific protein kinase A (PKA) target that increases the rate of cardiomyocyte relaxation. In contrast, cAMP generation from the plasma membrane activates a different PKA target that increases contractile force. We further validated the physiological consequences of these observations in intact zebrafish and mice. Thus, we demonstrate that the same GPCR acting through the same second messenger regulates cardiac contraction and relaxation dependent on its subcellular location.
Efficient high-precision homology-directed repair-dependent genome editing by HDRobust
Authors: Riesenberg Stephan , Kanis Philipp , Macak Dominik , Wollny Damian , Düsterhöft Dorothee , Kowalewski Johannes , Helmbrecht Nelly , Maricic Tomislav , Pääbo Svante 
Published: July 2023

AbstractHomology-directed repair (HDR), a method for repair of DNA double-stranded breaks can be leveraged for the precise introduction of mutations supplied by synthetic DNA donors, but remains limited by low efficiency and off-target effects. In this study, we report HDRobust, a high-precision method that, via the combined transient inhibition of nonhomologous end joining and microhomology-mediated end joining, resulted in the induction of point mutations by HDR in up to 93% (median 60%, s.e.m. 3) of chromosomes in populations of cells. We found that, using this method, insertions, deletions and rearrangements at the target site, as well as unintended changes at other genomic sites, were largely abolished. We validated this approach for 58 different target sites and showed that it allows efficient correction of pathogenic mutations in cells derived from patients suffering from anemia, sickle cell disease and thrombophilia.
Voltage-Seq: all-optical postsynaptic connectome-guided single-cell transcriptomics
Authors: Csillag Veronika , Bizzozzero Marianne Hiriart , Noble J. C. , Reinius Björn , Fuzik János 
Published: July 2023

AbstractUnderstanding the routing of neuronal information requires the functional characterization of connections. Neuronal projections recruit large postsynaptic ensembles with distinct postsynaptic response types (PRTs). PRT is typically probed by low-throughput whole-cell electrophysiology and is not a selection criterion for single-cell RNA-sequencing (scRNA-seq). To overcome these limitations and target neurons based on specific PRTs for soma harvesting and subsequent scRNA-seq, we created Voltage-Seq. We established all-optical voltage imaging and recorded the PRT of 8,347 neurons in the mouse periaqueductal gray (PAG) evoked by the optogenetic activation of ventromedial hypothalamic (VMH) terminals. PRTs were classified and spatially resolved in the entire VMH-PAG connectome. We built an onsite analysis tool named VoltView to navigate soma harvesting towards target PRTs guided by a classifier that used the VMH-PAG connectome database as a reference. We demonstrated Voltage-seq by locating VMH-driven γ-aminobutyric acid-ergic neurons in the PAG, guided solely by the onsite classification in VoltView.
Ecological study on household air pollution exposure and prevalent chronic disease in the elderly
Authors: Dehghani Samaneh , Yousefi Somayeh , Oskoei Vahide , Tazik Moslem , Moradi Mohammad Sanyar , Shaabani Mahmood , Vali Mohebat 
Published: July 2023

AbstractOlder people spend most of their time indoors. Limited evidence demonstrates that exposure to indoor air pollutants might be related to chronic complications. This study aimed to estimate the correlation between household air pollution (HAP)'s long-term exposure and the prevalence of elevated hypertension, diabetes mellitus (DM), obesity, and low-density lipoprotein (LDL) cholesterol. From the Global Burden disease dataset, we extracted HAP, hypertension, DM, body mass index, and LDL cholesterol data from Iran from 1990 to 2019 to males and females in people over 50 years. We present APC and AAPC and their confidence intervals using Joinpoint Software statistical software. R software examined the correlation between HAP and hypertension, DM2, Obesity, and high LDL cholesterol. Our finding showed a significant and positive correlation between HAP exposure and prevalence of high low-density lipoprotein cholesterol (p ≤ 0.001, r = 0.70), high systolic blood pressure (p ≤ 0.001, r = 0.63), and high body mass index (p ≤ 0.001, r = 0.57), and DM2 (p ≤ 0.001, r = 0.38). The analysis results also illustrated a positive correlation between indoor air pollution and smoking (p ≤ 0.001, r = 0.92). HAP exposure might be a risk factor for elevated blood pressure, DM, obesity, and LDL cholesterol and, consequently, more serious health problems. According to our results, smoking is one of the sources of HAP. However, ecological studies cannot fully support causal relationships, and this article deals only with Iran. Our findings should be corroborated in personal exposure and biomonitoring approach studies.
Recent Progress on Copper-Catalyzed C–C Bond Formation via C(sp2)–H Insertions Using Diazo and Related Compounds
Authors: Samanta Rajarshi , Bera Satabdi , Jana Subhenira 
Published: July 2023

AbstractThe site-selective insertion of metal carbenes via C(sp2)–H bond functionalization is an interesting topic within the synthetic chemistry community. In recent years, studies on the formation and applications of copper carbene intermediates have increased significantly due to their cost-effectiveness and versatile reactivities. Furthermore, copper-catalyzed transformations involving C(sp2)–H insertions using diazo and related compounds, along with asymmetric versions, have emerged as new tools for C–C bond formation. This short review summarizes selected recent advances in this field.1	Introduction2	Insertion of Copper Carbenes into Aryl C(sp2)–H Bonds of Arenes3	Copper Carbene Insertion into Aryl C(sp2)–H Bonds of Azaheteroarenes4	Copper Carbene Insertion into C(sp2)–H Bonds of Alkenes5	Conclusions and Perspectives
Viatorr Stent Migration and Retrieval during Transjugular Intrahepatic Portosystemic Shunt Revision
Authors: Kim Stephanie H. , Samuel Michael , Makramalla Abouelmagd 
Published: July 2023

AbstractTransjugular intrahepatic portosystemic shunt (TIPS) is an important interventional option for the treatment of complications related to cirrhosis and portal hypertension. Emergent TIPS placement can be a life-saving measure in patients with uncontrolled variceal hemorrhage. After TIPS placement, patients may benefit from additional interventions for clinical optimization including stent dilation, stent extension, and embolization of varices. Here, we describe a case of emergent TIPS placement and revision which resulted in TIPS stent migration requiring stent removal and replacement. We discuss our technique and review previously reported methods for the management of migrated TIPS stents.
Vegetation-derived pyrogenic carbon degradation and stabilisation in UK peatlands†
Authors: Kennedy-Blundell Oscar J. , Shuttleworth Emma L. , Rothwell James J. , Clay Gareth D. 
Published: July 2023

Background Strongly varying timescales of pyrogenic carbon (PyC) degradation have been observed across depositional settings. To date, PyC degradation in UK peatlands has had limited investigation. Aims This study aims to evaluate how PyC recalcitrance relates to differing production characteristics, fuels and duration of exposure in UK peatlands. Methods PyC samples produced from key peatland vegetation types were exposed on a peatland surface to assess molecular (by Fourier-transform infrared), leachable carbon (water-extractable organic carbon) and elemental (C, H, N, O) changes occurring over a year. Key results PyC degradation phases were observed: (1) very rapid (≤1 month) loss of leachable carbon; (2) longer-term (1–12 months) changes to PyC characteristics indicative of soil interactions. ‘Severity’ had a significant effect on all measured variables. Conclusions This study indicates that PyC is susceptible to changes within short timescales in UK peatlands, particularly low-temperature PyC, but that stabilisation through soil matrix interactions may occur over longer periods (>1 year). Implications The findings indicate that UK peatland wildfire carbon cycling research should consider early pulses of carbon to the wider environment, as well as longer-term C storage in PyC.
Final report of SIM.L-K7.2016
Authors: Zucco M , Gastaldi B 
Published: July 2023

Main text
This report describes the results of the bilateral comparison SIM.L-K7.2016 carried out in 2016 - 2017 between the pilot INRIM (Italy) and INTI (Argentina). The scale is made of a glass ceramic Zerodur. The total length of main graduation is 280 mm. The measurand is the deviation from the nominal distance between the center line position of the reference line [position 0] and the center line position of the measured line.
To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.
The final report has been peer-reviewed and approved for publication by the CCL, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Quantifying the underlying event: investigating angular dependence of multiplicity classes and transverse-momentum spectra in high-energy pp collisions at LHC energies
Authors: Mishra Aditya Nath , Barnaföldi Gergely Gábor , Paić Guy 
Published: July 2023

Abstract
We present a study of the transverse momentum spectra of charged hadrons and their evolution as a function of their azimuthal position with respect to the leading particle in proton–proton collisions at

s

= 13 TeV using the PYTHIA8 Monte Carlo event generator with the Monash 2013 tune. The spherocity distribution in the same azimuthal bins is reported. The Multiplicity and midrapidity transverse momentum spectra of charged hadrons have been analysed in the non-extensive statistical framework. The results corresponding to the Underlying Event are reported. This work provides a possible understanding of the interplay between hard scatterings and the Underlying Event in proton–proton collisions.
Remaining useful life distribution prediction framework for lithium-ion battery fused prior knowledge and monitoring data
Authors: Wang Mingxian , Xiang Gang , Cui Langfu , Zhang Qingzhen , Chen Juan 
Published: July 2023

Abstract
Remaining useful life (RUL) prediction is the main approach to guarantee the reliability of lithium-ion batteries. This paper proposes an interpretable hybrid method to predict the RUL distribution with changeable form. The method integrates prior knowledge from the statistical model and regular patterns learned from monitoring data based on the data-driven model. The predicted compound distribution provides more information compared to point estimation and distribution with fixed form. The general hybrid framework contains a component learner, a fusion model with a stacking strategy, and a prognostic distribution algorithm with adaptive sampling weights. The stacking fusion model is implemented by a one-dimensional convolution neural network. The sampling weights are estimated by optimal estimation. The statistical model describes the individual capacity degradation path based on the Wiener process. The data-driven model learns the degradation process from historical data based on convolutional gated recurrent neural network (CNN-GRU) and Monte Carlo dropout simulation. The comparative experiments between the proposed method and existing methods were carried out. The experiment results show that the proposed hybrid method performs well.
Monitoring of the curing process and thermal failure of adhesive-bonded structures based on damping measurement using quantitative electromechanical impedance
Authors: Liu Bofeng , Wang Yifan , Xie Mingyu , Li Faxin 
Published: July 2023

Abstract
Adhesives are essential materials in engineering and their strength directly affects the safety of structures. The curing and environmental deterioration are critical areas of focus in adhesive researches. However, conventional studies on adhesive curing emphasize only on the characteristics of the adhesive itself, while studies on deterioration of adhesive-bonded structure tend to concentrate on detecting disbonds. In this work, we proposed to monitor the curing process and thermal failure of adhesive-bonded-structures based on damping measurement using a quantitative electromechanical impedance (Q-EMI) method. The performances of two adhesives, i.e. epoxy and cyanoacrylate, were studied via bonding a piezoelectric transducer onto one end of an alumina bar and measuring the admittance spectrum of the transducer-adhesive-alumina system. Results show that the damping steadily decreases during the curing process and eventually stabilizes for both adhesive-bonded structures. A significantly higher curing rate is observed at 60 °C compared to that at room temperature. At high temperatures, the damping will increase dramatically, or no peaks can be observed in the admittance spectrum, indicating adhesive failure. The results indicate that the epoxy adhesive can function normally at temperatures up to 120 °C and can endure heating-cooling cycles up to 180 °C, while the cyanoacrylate adhesive can function normally at 140 °C but fails upon cooling. The proposed Q-EMI method is quite powerful in monitoring the performances of bonded structures.
Privacy data protection scheme using memristive hyperchaos and multi-scale block compressive sensing
Authors: Shi Yongge , Jiang Donghua , Tsafack Nestor , Ahmad Musheer , Zhu Liya , Zheng Mingwen 
Published: July 2023

Abstract
Recently, most meaningful image encryption schemes incorporated with various compressive sensing models have been developed to achieve dual protection of private image data and appearance. However, there exist performance constraints in these schemes in terms of anti-chosen-plaintext attack capability and key management. Aiming at the above issues, a new visually secure image encryption scheme is proposed using multi-scale block compressive sensing (MSB-CS) model and asymmetric integer wavelet transform (IWT) embedding. In this scheme, a memristor model with locally active tristable is first introduced into the oscillator to construct a new 5D memristive hyperchaotic system to generate cipher flows. Then, the non-linear MSB-CS model is designed to compress sparsely-represented plaintext coefficients. After a series of encryption operations, secret image without semantic features is asymmetrically embedded into the same-scale non-secret-involved carrier image. Additionally, both communicating parties, Alice and Bob, acquire shared secret key through the key sharing protocol based on matrix factorization problem. Finally, simulation experiments and comprehensive analysis indicate that the 5D memristive system has complicated hyperchaotic behaviours. In the meantime, the designed encryption scheme possesses better the anti-differential attack capability and reconstruction performance than other recently proposed schemes.