bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recrystallization and grain growth in single tungsten fiber-reinforced tungsten composites
Authors: Wartacz D A H , Riesch J , Pantleon K , Pantleon W 
Published: November 2023

Abstract
High heat fluxes in future fusion reactors pose big challenges on the materials of plasma-facing components due to restoration processes occurring at high temperatures. Tungsten is considered most suitable as plasma-facing material. To overcome its inherent brittleness at low temperatures, tungsten fiber-reinforced tungsten composites are developed which contain ductile, potassium-doped, drawn tungsten wires in an undeformed tungsten matrix. Such composites show pseudo-ductile behavior, an improved toughness and a more controlled fracture compared to undeformed tungsten. Model systems containing a single fiber either without any interlayer or with an yttria interlayer between fiber and matrix are annealed and characterized by electron backscatter diffraction (EBSD) in order to investigate their thermal stability. The restoration process in wire and matrix differ from each other: Recrystallization followed by grain growth occurs in the deformation structure of the wire. Grain growth is the sole mechanism affecting the undeformed matrix. An yttria interlayer between fiber and matrix is supposed to separate the differently restoring microstructures from each other and thereby preserve the improved mechanical properties of the composite. The investigation focuses on characterizing the as-processed condition and the microstructural changes after annealing at 1450 °C for either four days or two weeks. After two weeks of annealing, grains in the region or the vicinity of the wire have coarsened so much that former fiber and matrix cannot be distinguished any longer; not even in a model composite with a 1 μm thick yttria interlayer.
MultAtt-RippleNet: Multi-attribute and Knowledge-based Attention Fusion Recommendation Model
Authors: Chen Hongwei , Li Qigang 
Published: November 2023

Abstract
RippleNet model is mainly through the joint training of knowledge graph and recommendation algorithm. In the recommendation system used this model, the effect is good but ignored the relevance of the semantics of each jump entity in the knowledge graph. The user of different degrees of relationship preference has not been taken into account, so a new model MultAtt-RippleNet is proposed. In the new model, we fuse the user’s preference weights for the relationship with the knowledge-aware weights to obtain more accurate and add realistic user preference weights to the ripple. The experimental results show that the highest performance of the MultAtt-Ripple model has increased to 92.67% for AUC and 85.90% for ACC, and the overall model has improved significantly, solving the problem that the generalization ability and accuracy of the model are not very high.
Falling Behavior Detection System for Elevator Passengers Based on Deep Learning and Edge Computing
Authors: Chen Yuxuan , Zhao Qianyou , Fan Qi , Huang Xu , Wu Feifan , Qi Jin 
Published: November 2023

Abstract
Due to factors such as dense populations and narrow viewing angles, previous deep-learning models for detecting passenger behavior in elevators often lack effectiveness. Traditional cloud-based data transmission methods have issues with high latency, high resource usage, and privacy threats, particularly during periods of high usage. To address these issues, we proposed a falling behavior detection system for elevator passengers based on deep learning and edge computing. A two-stream neural network model improved by 3D ResNet is presented, which utilizes edge computing for elevator passenger fall detection. Our homemade dataset of elevator passenger falling behavior is utilized to train and evaluate the system. The results demonstrate that the system is effective in detecting passengers’ falling behavior in elevators, with an average accuracy of 89.2%. The feasibility of the system in an elevator is also verified, and it has performed well. The application of this system in this field holds significant research value.
On λ-determinants and tiling problems
Authors: de Kemmeter Jean-François , Robert Nicolas , Ruelle Philippe 
Published: November 2023

Abstract
We review the connections between the octahedral recurrence, λ-determinants and tiling problems. This provides in particular a direct combinatorial interpretation of the λ-determinant (and generalizations thereof) of an arbitrary matrix in terms of domino tilings of Aztec diamonds. We also reinterpret the general Robbins–Rumsey formula for the rational function of consecutive minors, given by a summation over pairs of compatible alternating sign matrices, as the partition function for tilings of Aztec diamonds equipped with a general measure.
Optimum Load Of a Proton Exchange Membrane Fuel Cells Based on Hydrogen Flow Control
Authors: Pangaribowo Triyanto , Utomo Wahyu Mulyo , Khaerudini Deni Shidqi , Kurniawan  , Bakar Afarulrazi Abu , Sutrisno Imam , Gunarti Monika Retno 
Published: November 2023

Abstract
In the future, proton exchange membrane fuel cells system (PEMFCs) hold promises for clean energy. However, there is a problem that causes the degradation in PEMFC system performance namely the voltage drops due to load fluctuations. The voltage drop is caused by the high load power demand. An important factor to improving PEMFCs performance is the availability of sufficient flow of hydrogen. In this paper optimisation of a PEMFCs load based on the hydrogen flow control is presented. In order to validate this project a model of the PEMFCs is simulated. Then verified by experimental testing using a 2 kW of the PEMFCs. The result shows the hydrogen flow control able to reduce the voltage drop of the PEMFCs during load variation and minimise hydrogen consumption.
Cooling Design Analysis of The Use of Land Engine On Ship
Authors: Khoir Kana Taufiq , Mustaghfirin Muh. Anis , Muradi Munir 
Published: November 2023

Abstract
Based on the survey, the majority of fishermen in Indonesia choose to use land engines as propulsion for the main engine and auxiliary engine on ships because in terms of the price of land engines, they are much cheaper than ship engines produced by marine engine factories. Therefore, not a few workshops that often serve land engine modifications for further use as ship propulsion. Regulations regarding the use of land engines as ship’s main engines in Indonesia are currently not widely regulated in the Classification Agency regulations. Heat exchanger that supports the cooling system for optimal use of land engines on ships. Furthermore, the heat exchanger design process with a heat transfer load of 17,416 Watt was carried out using the LMTD method and obtained a heat transfer area value of 1,204 m2 with a staggered arrangement configuration. From the results of the CFD simulation, the temperature value at the hot water outlet is 51.39 C.
OML-PCM: optical multi-level phase change memory architecture for embedded computing systems
Authors: Mohseni Milad , Novin Ahmad Habibized 
Published: November 2023

Abstract
Unlike Dynamic Random Access Memory (DRAM), Phase Change Memory (PCM) offers higher density, longer data retention, and improved scalability because of its non-volatility and low leakage power. However, Electrically-Addressable PCM (EPCM) has a higher dynamic power and long latency than DRAM. To address these issues, scientists have developed Optically-Addressable PCM (OPCM), which uses 5-level cells instead of 2-level cells in EPCM. A silicon photonic link allows optical signals to reach OPCM cells at a high speed. Hence, OPCM can achieve a higher density while maintaining better performance at multi-level cells and consuming less power per access. However, OPCM is not suitable for general use since the photonic links do not provide an electrical interface to the processor. The aim of this paper is to present a hybrid OPCM architecture based on the use of novel multi-bank clusters with distinctive properties. Electrical-Optical-Electrical conversion (EOE) allows OPCM cells to be randomly accessed by using DRAM-like circuitry. The proposed hybrid design with multi-core processing and OPCM achieves a 2.13x speedup over previous approaches while consuming less Central Processing Unit (CPU) power. It is important to note that the proposed design offers 97 units fewer power-consistent bits than EPCM. In addition, the proposed architecture provides comparable performance and power to DDR4, as well as improved bandwidth density, space efficiency, and versatility. The Gem5 simulator was used to evaluate the design. Based on the outcomes of the analysis, the proposed architecture offers 2.08x and 2.14x better evaluations and density performance than EPCM. Furthermore, the execution time has been reduced by 2.13x, the analysis time by 1.23x, and the composition time by 4.60%.
Historical simulations of temperature and precipitation from the CORDEX Africa model in the Wabi Shebele Basin
Authors: Alemu Sisay Guta , Sime Chala Hailu , Demissie Tamene Adugna 
Published: November 2023

Abstract
Rising global temperatures and shifting precipitation patterns have significant socio-economic consequences if not properly studied and predicted. Regional climate models (RCMs) are utilized to assess local-scale climate change. However, the reliability of individual models must be validated due to inherent limitations and methodological constraints. This study evaluates the performance of CORDEX Africa RCMs using observed rainfall and air temperature data from 1986 to 2005. Model performance was evaluated using statistical indicators such as bias, RMSE, r, MAE, and a concise plot of the statistical indicators which is Taylor’s diagram. In rainfall simulation, the RACMO22T performed admirably in the upper parts of the basin (region of high rainfall and cold temperature) and lower regions of the basin (region of low rainfall and hot temperature) with bias −8.64% and 6.19% respectively. HIRHAM5 and CCLM4-8 simulate well the maximum temperature in the upper parts with biases of (0.14 °C and −0.14 °C respectively), whereas RCA4 is well performed in the lower parts of the basin. CCLM4-8 is good for minimum temperature simulation in the upper parts, but HIRHAM5 and RCA4 are good in the lower parts of the basin. In rainfall simulation, all models are slightly good in dry months than in wet. All models underestimated the maximum temperature and overestimated the minimum temperature in the study area as compared to the observed.
Complications From Fat Grafting and Gluteal Augmentation in Outpatient Plastic Surgery: An Analysis of American Association for Accreditation of Ambulatory Surgery Facilities (AAAASF, QUAD A) Data
Authors: Weidman Allan A , Foppiani Jose , Valentine Lauren , Hernandez Alvarez Angelica , Elmer Nicholas , Hassell Natalie , Seyidova Nargiz , Hwang Paul , Paul Marek , Arguello Alberto , Lin Samuel J 
Published: November 2023

Abstract

Background
Gluteal augmentation with autologous fat grafting, colloquially referred to as Brazilian butt lift (BBL), is an increasingly common procedure with a highly reported complication profile.

Objectives
In this study we aimed to analyze the prevalence and characteristics of complications that accompanied these surgeries at ambulatory surgery facilities.

Methods
Adults patients who experienced fat grafting complications from 2019 to 2021 were identified in QUAD A, formerly known as the American Association for Accreditation of Ambulatory Surgery Facilities (AAAASF, Highland Park, IL, USA), database. Patients and complications were analyzed based on sociodemographic, surgery-, and facility-specific variables with descriptive statistics and logistic regression.

Results
Overall, 436 fat grafting procedures with complications were reported to QUAD A, with an overall complication rate of 0.94%. Of these complications, 164 (37.6%) were confirmed to be from gluteal augmentation procedures. Notably, the number of gluteal augmentation with fat grafting complications decreased from the year 2019 (48) to 2020 (36), then nearly doubled from 2020 to 2021 (69). The majority of patients were female (96.7%), with a mean age of 42.0 years and a mean BMI of 28.3 kg/m2. Wound infection was the most commonly documented complication (22.3%). Of the patients who experienced complications, 35.9% presented to a hospital for their complications and 12.6% required reoperation. Four deaths were described. There was no association between sociodemographic or surgical variables and increased odds of readmission or reoperation (P &gt; .05), except for increasing surgeon number and reoperation (P = .02).

Conclusions
Gluteal augmentation accounts for a large proportion of complications from fat grafting procedures. Increased reporting requirements may aid in future determination of incidences of complications and improve patient safety.

Level of Evidence: 3
Multilevel Bayesian analysis of monk parakeet contact calls shows dialects between European cities
Authors: Smeele Simeon Q , Tyndel Stephen A , Aplin Lucy M , McElreath Mary Brooke 
Published: November 2023

Abstract
Geographic differences in vocalizations provide strong evidence for animal culture, with patterns likely arising from generations of social learning and transmission. Most studies on the evolution of avian vocal variation have predominantly focused on fixed repertoire, territorial song in passerine birds. The study of vocal communication in open-ended learners and in contexts where vocalizations serve other functions is therefore necessary for a more comprehensive understanding of vocal dialect evolution. Parrots are open-ended vocal production learners that use vocalizations for social contact and coordination. Geographic variation in parrot vocalizations typically take the form of either distinct regional variations known as dialects or graded variation based on geographic distance known as clinal variation. In this study, we recorded monk parakeets (Myiopsitta monachus) across multiple spatial scales (i.e., parks and cities) in their European invasive range. We then compared calls using a multilevel Bayesian model and sensitivity analysis, with this novel approach allowing us to explicitly compare vocalizations at multiple spatial scales. We found support for founder effects and/or cultural drift at the city level, consistent with passive cultural processes leading to large-scale dialect differences. We did not find a strong signal for dialect or clinal differences between parks within cities, suggesting that birds did not actively converge on a group level signal, as expected under the group membership hypothesis. We demonstrate the robustness of our findings and offer an explanation that unifies the results of prior monk parakeet vocalization studies.
Actinomycin D synergizes with Doxorubicin in triple-negative breast cancer by inducing P53-dependent cell apoptosis
Authors: Yang Hong , Li Sha , Li Wan , Yang Yihui , Zhang Yizhi , Zhang Sen , Hao Yue , Cao Wanxin , Xu Fang , Wang Hongquan , Du Guanhua , Wang Jinhua 
Published: November 2023

Abstract

Objectives
There are three major subtypes of breast cancer, ER+, HER2+ and triple-negative breast cancer (TNBC), namely ER−, PR−, HER2−. TNBC is the most aggressive breast cancer with poor prognosis and no target drug up to now. Actinomycin D (ActD) is a bioactive metabolite of marine bacteria that has been reported to have antitumor activity. The aim of study is to investigate whether ActD has a synergetic effect on TNBC with Doxorubicin (Dox), the major chemotherapeutic drug for TNBC, and explore the underlying mechanism.

Methods
TNBC cell lines HCC1937, MDA-MB-436 and nude mice were used in the study. Drug synergy determination, LDH assay, MMP assay, Hoechst 33342 staining, Flow cytometry, Flexible docking and CESTA assay were carried out. The expression of proteins associated with apoptosis was checked by Western blot and siRNA experiments were performed to investigate the role of P53 and PUMA induced by drugs.

Results
There was much higher apoptosis rate of cells in the ActD + Dox group than that in ActD group or Dox group. Expression of MDM2 and BCL-2 was reduced while expression of P53, PUMA and BAX were increased in the groups treated with ActD + Dox or Dox compared to the control group. Furthermore, P53 siRNA or PUMA siRNA tremendously abrogated the cell apoptosis in the groups treated by ActD, Dox and ActD + Dox. Flexible docking and CESTA showed that ActD can bind MDM2.

Conclusions
ActD had a synergetic effect on TNBC with Dox via P53-dependent apoptosis and it may be a new choice for treatment of TNBC.
Deficits in neuronal architecture but not over-inhibition are main determinants of reduced neuronal network activity in a mouse model of overexpression of Dyrk1A
Authors: Manubens-Gil Linus , Pons-Espinal Meritxell , Gener Thomas , Ballesteros-Yañez Inmaculada , de Lagrán María Martínez , Dierssen Mara 
Published: November 2023

Abstract
In this study, we investigated the impact of Dual specificity tyrosine-phosphorylation-regulated kinase 1A (Dyrk1A) overexpression, a gene associated with Down syndrome, on hippocampal neuronal deficits in mice. Our findings revealed that mice overexpressing Dyrk1A (TgDyrk1A; TG) exhibited impaired hippocampal recognition memory, disrupted excitation-inhibition balance, and deficits in long-term potentiation (LTP). Specifically, we observed layer-specific deficits in dendritic arborization of TG CA1 pyramidal neurons in the stratum radiatum. Through computational modeling, we determined that these alterations resulted in reduced storage capacity and compromised integration of inputs, with decreased high γ oscillations. Contrary to prevailing assumptions, our model suggests that deficits in neuronal architecture, rather than over-inhibition, primarily contribute to the reduced network. We explored the potential of environmental enrichment (EE) as a therapeutic intervention and found that it normalized the excitation-inhibition balance, restored LTP, and improved short-term recognition memory. Interestingly, we observed transient significant dendritic remodeling, leading to recovered high γ. However, these effects were not sustained after EE discontinuation. Based on our findings, we conclude that Dyrk1A overexpression-induced layer-specific neuromorphological disturbances impair the encoding of place and temporal context. These findings contribute to our understanding of the underlying mechanisms of Dyrk1A-related hippocampal deficits and highlight the challenges associated with long-term therapeutic interventions for cognitive impairments.
After da Gama: real wages in Western India, c. 1500–c. 1650
Authors: Carvalhal Helder , Lucassen Jan , De Zwart Pim 
Published: November 2023

Abstract
The article analyses the evolution of Indian real wages for the period 1500–1650. It argues that the Great Divergence between India and north-western Europe was already visible by the early 1500s by making use of a new dataset of 2,710 separate observations, reflecting over 76,000 paid-out wages, for nine locations in Western India. These wages were deflated by rice prices and a basket of goods and imply low and declining standards of living over the sixteenth and early seventeenth centuries. In comparison with Europe, these real wages represent comparatively low living standards, and they were not much above those in Japan.
Multi-omics analyses from a single sample: prior metabolite extraction does not alter the 16S rRNA-based characterization of prokaryotic community in a diversity of sample types
Authors: Duperron Sébastien , Foucault Pierre , Duval Charlotte , Goto Midoli , Gallet Alison , Colas Simon , Marie Benjamin 
Published: November 2023

Abstract
Massive sequencing of the 16S rRNA gene has become a standard first step to describe and compare microbial communities from various samples. Parallel analysis of high numbers of samples makes it relevant to the statistical testing of the influence of natural or experimental factors and variables. However, these descriptions fail to document changes in community or ecosystem functioning. Nontargeted metabolomics are a suitable tool to bridge this gap, yet extraction protocols are different. In this study, prokaryotic community compositions are documented by 16S rRNA gene sequencing after direct DNA extraction or after metabolites extraction followed by DNA extraction. Results obtained using the V3–V4 region on nonaxenic cultures of cyanobacteria, lake water column, biofilm, and gut of wild and lab-reared fish indicate that prior extraction of metabolites does not influence the obtained image of prokaryotic communities. This validates sequential extraction of metabolites followed by DNA as a way to combine 16S rRNA sequencing with metabolome characterization from a single sample. This approach has the potential to complement community structure characterization with a proxy of their functioning, without the uncertainties associated with the use of separate samples.
Positivity of the Symmetric Group Characters Is as Hard as the Polynomial Time Hierarchy
Authors: Ikenmeyer Christian , Pak Igor , Panova Greta 
Published: November 2023

Abstract
We prove that deciding the vanishing of the character of the symmetric group is $\textsf{C}_= \textsf{P}$-complete. We use this hardness result to prove that the absolute value and also the square of the character are not contained in $\textsf{#P}$, unless the polynomial hierarchy collapses to the second level. This rules out the existence of any (unsigned) combinatorial description for the square of the characters. As a byproduct of our proof, we conclude that deciding positivity of the character is $\textsf{PP}$-complete under many-one reductions, and hence $\textsf{PH}$-hard under Turing reductions.
Spike Protein Genetic Evolution in Patients at High Risk of Severe Coronavirus Disease 2019 Treated by Monoclonal Antibodies
Authors: Leducq Valentin , Zafilaza Karen , Fauchois Antoine , Ghidaoui Emna , Sayon Sophie , Dorival Céline , Meledje Marie-Laure , Lusivika-Nzinga Clovis , Yordanov Youri , Martin-Blondel Guillaume , Carrat Fabrice , Marcelin Anne-Geneviève , Soulie Cathia 
Published: November 2023

Abstract

Background
High-risk patients, often immunocompromised and not responding to vaccine, continue to experience severe coronavirus disease 2019 (COVID-19) and death. Monoclonal antibodies (mAbs) were shown to be effective to prevent severe COVID-19 for these patients. Nevertheless, concerns about the emergence of resistance mutations were raised.

Methods
We conducted a multicentric prospective cohort study, including 264 patients with mild to moderate COVID-19 at high risk for progression to severe COVID-19 and treated early with casirivimab/imdevimab, sotrovimab, or tixagevimab/cilgavimab. We sequenced the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome during follow-up and searched for emerging spike mutations.

Results
Immunocompromised patients have a 6-fold increased risk of developing mutations, which are associated with a prolonged duration of viral clearance but no clinical worsening. Emerging P337S/R/L/H, E340D/K/A/Q/V/G, and K356T/R substitutions in patients treated with sotrovimab are associated with higher viral RNA loads for up to 14 days post–treatment initiation. Tixagevimab/cilgavimab is associated with a 5-fold increased risk of developing mutations. R346K/I/T/S and K444R/N/M substitutions associated with tixagevimab/cilgavimab have been identified in multiple SARS-CoV-2 lineages, including BQ.1 and XBB.

Conclusions
The probability of emerging mutations arising in response to mAbs is significant, emphasizing the crucial need to investigate these mutations thoroughly and assess their impact on patients and the evolutionary trajectory of SARS-CoV-2.