bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors Influencing Flowability of Microbial Gel Filling Materials and Optimization of Ratios Using Design of Experiments Method
Authors: ZHANG Zhendong , SHI Wenlong , LIU Jiashun , LI Jun , JIANG Cuiping , CUI Chenwei , LI Mengyan , GE Xinyan 
Published: November 2023

Abstract
During coal mining, a significant amount of coal gangue is generated. The coal gangue occupies a considerable amount of land resources and causes environmental damage to the surrounding areas. Currently, the utilization rate of coal gangue is low. To address this issue, this study employed a method that combines a water-absorbent resin with microbially induced calcium carbonate precipitation (MICP) to prepare paste-filling materials. The water retention properties of the water-absorbent resin provide continuous reaction sites for MICP, increasing the calcium carbonate nucleation points and thereby solidifying the coal gangue into paste materials. A design of experiments (DOE) mixture scheme was utilized to conduct tests on the water seepage, slump, and expansion of the paste material, analyze the influence of material composition on its flowability, and optimize the ratios. Through electron microscopy, the morphology and distribution of calcium carbonate crystals during the solidification process were examined. Accordingly, the mechanism by which the water-absorbent resin combined with MICP solidified coal gangue in preparation of paste-filling materials was revealed. The findings of this research provide a theoretical foundation and technical support for engineering applications.
Prevalence and associated factors of suicidal ideation, non-suicidal self-injury and suicide attempt among male construction industry workers in Ireland
Authors: O’Donnell Shane , Egan Tom , Clarke Nicholas , Richardson Noel 
Published: November 2023

Abstract

Background
Suicide among male construction industry workers (CIWs) are reported to be disproportionally high compared to the working age population. However, there is minimal understanding of the prevalence and associated factors of suicidal ideation (SI), non-suicidal self-injury (NSSI), and suicide attempts (SA) among male CIWs.
Methods
A cross-sectional study was conducted on a large sample of male CIWs in Ireland (n = 1,585). We investigated the prevalence of SI, NSSI and SA and sociodemographic, occupational, and mental health factors associated with these three outcomes. Multivariable Poisson regression was performed to estimate the incidence rate ratio (IRR) of SI (model 1 primary outcome), while multivariable logistic regression was used to estimate the odds ratio (OR) of NSSI (model 2 primary outcome), and SA (model 3 primary outcome).
Results.
The lifetime prevalence rate of SI in this study was 22%, 6% for NSSI, and 6% for SA. In univariable modelling, socio-demographic and occupational factors associated with the three outcomes included younger age (SI and NSSI), not being in a relationship (SA) and working 35–44 hours per week (SI and SA). All psychological factors (past mental health difficulties, history of mental health treatment, generalized anxiety disorder (GAD), depression, suicide bereavement) were significantly associated with increased risk of the three outcomes. In fully adjusted multivariable models: (1) past mental health difficulties, higher GAD and depression levels were associated with increased IRR of suicide ideation; (2) past mental health difficulties and higher GAD levels were associated with a higher odds ratio (OR) of NSSI and; (3) past mental health difficulties and higher depression levels were associated with higher ORs for SA.
Conclusion.
SI, NSSI and SA are significant issues for male CIWs that require specific attention. Findings highlight a need to support younger male CIWs and those bereaved by suicide. They also highlight the need for the early detection and treatment of GAD and depression in order to intervene in, and potentially prevent, suicidality among male CIWs.
Predicting LULC changes and assessing their impact on surface runoff with machine learning and remote sensing data.
Authors: Riche Abdelkader , Drias Ammar , Ricci Riccardo , Souissi Boularbah , Melgani Farid 
Published: November 2023

Abstract
This study employs an approach to examine the influence of urbanization-induced land use changes on surface runoff. The research leverages the SCS-CN method, integrating remote sensing and machine learning, to analyze land use and cover (LULC) changes over the years 2000 to 2040. Initial land use classification (2000–2020) utilizes the SVM algorithm, while a novel temporal approach is applied to predict LULC for the years 2025, 2030, and 2040. The accuracy of the LULC prediction model is demonstrated to be 85.05% using the Random Forest (RF) algorithm. Notably, built-up areas increase from 11.73% (2000) to 32.96% (2040), whereas cultivated land and grassland decrease from 46.50–26.67%. The study further utilizes the SCS-CN method to model runoff for precipitation return periods of 5, 10, and 20 years, calculating Curve Number (CN) values. The results reveal variations in runoff patterns across different LULC classes and time periods. Higher return periods are associated with expanded runoff areas, with built-up areas contributing to runoff, while forests mitigate it. The study identifies that land factors, such as interception and permeability, exhibit limited influence during intense rainfall events, primarily due to capacity and saturation constraints. These findings have important implications for water resource management and strategies related to flood risk mitigation, benefiting governmental officials, planners, environmental experts, and hydraulic engineers. It's worth noting that a case study in Algeria was selected for its data availability.
Mutation order in acute myeloid leukemia identifies uncommon patterns of evolution and illuminates phenotypic heterogeneity
Authors: Majeti Ravi , Schwede Matthew , Jahn Katharina , Kuipers Jack , Miles Linde , Bowman Robert , Robinson Troy , Furudate Ken , Uryu Hidetaka , Tanaka Tomoyuki , Sasaki Yuya , Ediriwickrema Asiri , Benard Brooks , Gentles Andrew , Levine Ross , Beerenwinkel Niko , Takahashi Koichi 
Published: November 2023

Abstract
Acute myeloid leukemia (AML) has a poor prognosis and a heterogeneous mutation landscape. Although common mutations are well-studied, little research has characterized how the sequence of mutations relates to clinical features. Using published, single-cell DNA sequencing data from three institutions, we compared clonal evolution patterns in AML to patient characteristics, disease phenotype, and outcomes. Mutation trees, which represent the order of select mutations, were created for 207 patients from targeted panel sequencing data using 1 639 162 cells, 823 mutations, and 275 samples. In 224 distinct orderings of mutated genes, mutations related to DNA methylation typically preceded those related to cell signaling, but signaling-first cases did occur, and had higher peripheral cell counts, increased signaling mutation homozygosity, and younger patient age. Serial sample analysis suggested that NPM1 and DNA methylation mutations provide an advantage to signaling mutations in AML. Interestingly, WT1 mutation evolution shared features with signaling mutations, such as WT1-early being proliferative and occurring in younger individuals, trends that remained in multivariable regression. Some mutation orderings had a worse prognosis, but this was mediated by unfavorable mutations, not mutation order. These findings add a dimension to the mutation landscape of AML, identifying uncommon patterns of leukemogenesis and shedding light on heterogenous phenotypes.
Design and test of a 50 mK CMOS 16 to 1 multiplexing ASIC for high impedance NbSi TES arrays
Authors: Criton Benjamin , Broïse Xavier de la , Sauvageot Jean-Luc 
Published: November 2023

Abstract

Achieving high spectral and spatial resolution of wide astrophysical objects in theX-ray band will be the main focus of the future X-ray space telescopes.We explorea new technological solution based on high impedance TES detectors (∼2MΩ)enabling the transfer of the pre-amplification stage to higher temperatures (4 K)and the use of a 50mK CMOS multiplexer to reduce power dissipation at 50 mK.We present the design and first tests of a 50mK CMOS ASIC multiplexing 16high impedance NbSi TES detectors to 1 amplifier with a total power budgetunder 2μW. In parallel of this development, we fabricated 4-by-4 NbSi pixelmatrices to build a complete demonstrator (comprising the detector array, themultiplexing ASIC and the 4K amplification stage). We aim at a multiplexingcycle time of 48μs leaving 3μs for reading-out each high impedance pixel. Themultiplexing ASIC will embed parasitic capacity compensation techniques.
A novel model of non-singular oscillating cosmology on flat Randall-Sundrum II braneworld
Authors: Sengupta Rikpratik 
Published: November 2023

Abstract
We obtain a \textit{novel} model of oscillating non-singular cosmology on the spatially flat Randall-Sundrum (RS) II brane. At early times, the universe is dominated by a scalar field with an inflationary emergent potential $V(\phi)=A(e^{B\phi}-1)^2$, $A$ and $B$ being constants. Interestingly, we find that such a scalar field can source a non-singular bounce, replacing the big bang on the brane. The turnaround again happens naturally on the brane dominated by a phantom dark energy (favoured by observations\cite{E1,E2,E3} at late times), thus avoiding the big rip singularity and leading upto the following non-singular bounce via a contraction phase. There is a smooth non-singular transition of the brane universe through both the bounce and turnaround, leading to alternate expanding and contracting phases. This is the \textit{first} model where a single braneworld of positive tension can be made to recycle as discussed in details in the concluding section.
Enabling Energy-Efficient and Low-Latency of Sparse Matrix-Vector Multiplication on GPUs
Authors: Ashoury Mina , Loni Mohammad , Khunjush Farshad , Daneshtalab Masoud 
Published: November 2023

Abstract

Sparse matrix-vector multiplication (SpMV) is an essential linear algebra operation that dominates the computing cost in many scientific applications. Due to providing massive parallelism and high memory bandwidth, GPUs are commonly used to accelerate SpMV kernels. Prior studies mainly focused on reducing the latency consumption of SpMV kernels on GPU by tackling the irregular nature of sparse matrices. However, limited attempts have been made to improve the energy efficiency (MFLOPS/Watt) of SpMV kernels, resulting in GPUs being excluded from the range of low-power scientific applications. Furthermore, prior work has primarily focused on optimizing the sparse matrix storage format; the literature ignores evaluating the impact of tweaking compilation parameters (e.g., \texttt{maxrregcount}, thread block size, and such). Lastly, little attention has been paid to preparing a comprehensive training dataset of running SpMV kernels and tweaking the hyperparameters of machine learning-based storage format predictors. To address these limitations, we present a novel learning-based framework, dubbed Auto-SpMV, that enables energy-efficient and low-latency SpMV kernels on GPUs. To achieve the best run time performance, Auto-SpMV proposes two optimization modes: \textit{compile-time} and \textit{run-time}. In the \textit{compile-time} mode, Auto-SpMV tweaks the compilation parameters according to the optimization objective, either lower latency or energy consumption. On the other hand, in the \textit{run-time} mode, Auto-SpMV selects the best sparse format for the input matrix based on an optimized machine learning model. To achieve the best classification results, 1) we collect the largest ever dataset by selecting different sparse matrices running with more than 15K configurations, and 2) we boost classification models by automatically tweaking the learning hyperparameters. Experimental results reveal that Auto-SpMV optimizes latency, energy consumption, average power, and energy efficiency in the \textit{compile-time} mode by up to 51.9%, 52%, 33.2%, and 53%, respectively, compared to the default setting. Auto-SpMV optimizes average power and energy efficiency in the \textit{run-time} mode by up to 34.6% and 99.7%, respectively, compared to the default setting. Finally, our experimental results show that Auto-SpMV generalizes to unseen matrices and hardware devices.
Measures of fragmentation of rest activity patterns: mathematical properties and interpretability based on accelerometer real life data
Authors: Danilevicz Ian Meneghel , Hees Vincent Theodoor van , Heide Frank van der , Jacob Louis , Landré Benjamin , Benadjaoud Mohamed Amine , Sabia Séverine 
Published: November 2023

Abstract

Accelerometers, devices that measure body movements, have become valuable tools for studying the fragmentation of rest-activity patterns, a core circadian rhythm dimension, using metrics such as inter-daily stability (IS), intradaily variability (IV), transition probability (TP), and self-similarity parameter (named α). However, their use remains mainly empirical. Therefore, we investigated the mathematical properties and interpretability of rest-activity fragmentation metrics by providing mathematical proofs for the ranges of IS and IV, proposing maximum likelihood and Bayesian estimators for TP, introducing the activity balance index metric, an adaptation of α, and describing distributions of these metrics in real-life setting. Analysis of accelerometer data from 2,859 individuals (age=60-83 years, 21.1% women) from the Whitehall II cohort (UK) shows modest correlations between the metrics, except for ABI and α. Sociodemographic (age, sex, education, employment status) and clinical (body mass index (BMI), and number of morbidities) factors were associated with these metrics, with differences observed according to metrics. For example, a difference of 5 units in BMI was associated with all metrics (differences ranging between -0.261 (95% CI -0.302, -0.220) to 0.228 (0.18, 0.268) for standardised TP rest to activity during the awake period and TP activity to rest during the awake period, respectively). These results reinforce the value of these rest-activity fragmentation metrics in epidemiological and clinical studies to examine their role for health. This paper expands on a set of methods that have previously demonstrated empirical value, improves the theoretical foundation for these methods, and evaluates their empirical worth in a large dataset.
The Simons Observatory: Large-Scale Characterization of 90/150 GHz TES Detector Modules
Authors: Dutcher Daniel , Duff Shannon M. , Groh John C. , Healy Erin , Hubmayr Johannes , Johnson Bradley R. , Jones Dante , Keller Ben , Lin Lawrence T. , Link Michael J. , Lucas Tammy J. , Morgan Samuel , Seino Yudai , Sonka Rita F. , Staggs Suzanne T. , Wang Yuhan , Zheng Kaiwen 
Published: November 2023

Abstract
The Simons Observatory (SO) is a cosmic microwave background instrumentation suite being deployed in the Atacama Desert in northern Chile.The telescopes within SO use three types of dichroic transition-edge sensor (TES) detector arrays, with the 90 and 150 GHz Mid-Frequency (MF) arrays containing 65% of the approximately 68,000 detectors in the first phase of SO.All of the 26 required MF detector arrays have now been fabricated, packaged into detector modules, and tested in laboratory cryostats.Across all modules, we find an average operable detector yield of 84% and median saturation powers of (2.8, 8.0) pW with interquartile ranges of (1, 2) pW at (90, 150) GHz, respectively, falling within their targeted ranges.We measure TES normal resistances and superconducting transition temperatures on each detector wafer to be uniform within 3%, with overall central values of 165 mK and 7.5 m\(\Omega\), respectively.Results on time constants, optical efficiency, and noise performance are also presented and are consistent with achieving instrument sensitivity forecasts.
What Role for ‘Generational Wealth’ in Explaining Racial Wealth Disparities?
Authors: Sabelhaus John , Thompson Jeffre 
Published: November 2023

Abstract

In light of a recent surge of interest in the topic of “generational wealth” and its potential to close racial disparities in wealth, this paper revisits an older literature with updated data and methods. Previous research found that inherited wealth contributed only modestly to racial disparities in wealth, or even reduced those disparities, but suffered from numerous shortcomings. This paper uses more recent data (through 2019) that recovers intergenerational transfers not reflected in prior research. We also include the asset value of defined benefit pensions – a source that accounts for 15 percent of all household wealth and is of particular importance for non-white households – into our measure of wealth, and exploit nonparametric decomposition techniques. Despite these innovations, our findings are consistent with earlier research that intergenerational transfers can account for a relatively small share of the racial disparities in wealth that we observe in the data. When no other controls are included, we find that differences in intergenerational transfers account for 13 to 16 percent of white/non-white private wealth gaps. When we control for lifetime earnings, workplace pensions, and a handful of additional human capital variables, the marginal contribution of intergenerational transfers shrinks considerably, but the combined portion of the racial wealth gap that is explained rises to 80 to 90 percent. Policymakers interested in helping households build wealth are advised to look to ways that would enable them to boost the earnings that they receive over their lifetime.
Impedance matching between SQUID and warm amplifier for TES readout in TDM
Authors: Gonzalez Manuel , Parot Yann , Prele Damien , Kirsch Christian , Cucchetti Edoardo , Peille Philippe , Murat David , Ravera Laurent , Kuur Jan 
Published: November 2023

Abstract
Current cryogenic instruments require an increasingly high number of super-conducting detectors. Large multiplexing factors are thus needed, increasing the bandwidth of the readout signals. In the specific case of transition edge sensors(TES), a cold amplification stage using superconducting quantum interference devices (SQUIDs) is usually coupled to a room temperature low noise amplifier (LNA). A resistive harness up to a few meters long connects these two stages, carrying signals with bandwidth of up to a few tens of MHz. In this context, it is reasonable to consider the possibility of impedance matching at the input of the LNA. In this paper we present the impact of such impedance matching for an ATHENA X-IFU like instrument.
Determining the usefulness of the Copernicus High-Resolution Vegetation Phenology and Productivity Product (HR-VPP) with official agricultural data on cropland in case of the 2018 drought in the Federal State of Saxony, Germany
Authors: Goihl Sebastian 
Published: November 2023

Abstract
Remote sensing-based data on vegetation conditions provide important information for agriculture. In this study, the potential uses of the freely available High-Resolution Vegetation Phenology and Productivity Product (HR-VPP) are tested. This test examines the 2018 drought year in the state of Saxony, Germany, and the capabilities and limitations of the HR-VPP product in use with Integrated Administration and Control System (IACS) data. The results show that field and crop type-specific spatial (re)analyses of a drought are possible and that there is still great potential in this data analysis. Using the data in a new proposed VPP-based Farm-Level Temporal Comparison Indicator (VPP-FLTCI), it was not possible to tease out patterns in why farms applied for state drought aid in 2018 compared to other farms. In the future, even better and more detailed analyses based on the HR-VPP can be expected, as the data series with now a total of 5 years is still very short to generate sufficient references, especially in Central European agriculture, which is characterized by crop rotation.
The Radiosensitizing Potentials of Silymarin/Silibinin in Cancer: A Systematic Review
Authors: Gupta Jitendra , Jalil Abduladheem Turki , Riyad Muedii Zainab Al-hawraa , Aminov Zafar , Alsaikhan Fahad , Ramírez-Coronel Andrés Alexis , Ramaiah Pushpamala , Farhood Bagher 
Published: November 2023

Introduction:
Although radiotherapy is one of the main cancer treatment modalities, exposing
healthy organs/tissues to ionizing radiation during treatment and tumor resistance to ionizing
radiation are the chief challenges of radiotherapy that can lead to different adverse effects. It
was shown that the combined treatment of radiotherapy and natural bioactive compounds (such as
silymarin/silibinin) can alleviate the ionizing radiation-induced adverse side effects and induce
synergies between these therapeutic modalities. In the present review, the potential radiosensitization
effects of silymarin/silibinin during cancer radiation exposure/radiotherapy were studied.

Methods:
According to the PRISMA guideline, a systematic search was performed for the identification
of relevant studies in different electronic databases of Google Scholar, PubMed, Web of
Science, and Scopus up to October 2022. We screened 843 articles in accordance with a predefined
set of inclusion and exclusion criteria. Seven studies were finally included in this systematic
review.

Results:
Compared to the control group, the cell survival/proliferation of cancer cells treated with
ionizing radiation was considerably less, and silymarin/silibinin administration synergistically increased
ionizing radiation-induced cytotoxicity. Furthermore, there was a decrease in the tumor
volume, weight, and growth of ionizing radiation-treated mice as compared to the untreated
groups, and these diminutions were predominant in those treated with radiotherapy plus silymarin/
silibinin. Furthermore, the irradiation led to a set of biochemical and histopathological changes
in tumoral cells/tissues, and the ionizing radiation-induced alterations were synergized following
silymarin/silibinin administration (in most cases).

Conclusion:
In most cases, silymarin/silibinin administration could sensitize the cancer cells to
ionizing radiation through an increase of free radical formation, induction of DNA damage, increase
of apoptosis, inhibition of angiogenesis and metastasis, etc. However, suggesting the use of
silymarin/silibinin during radiotherapeutic treatment of cancer patients requires further clinical
studies.
The Roles of Endogenous D2R Dopamine and μ-opioid Receptors of the Brain in Alcohol use Disorder
Authors: Khikhmetova Kamila , Semenova Yuliya , Bjørklund Geir 
Published: November 2023

:
Alcohol use disorder (AUD) affects millions of people worldwide. It is characterized
by a strong physiological and psychological craving to consume large amounts
of alcohol despite adverse consequences. Alcohol use disorder carries a large health and
economic burden on society. Despite its prevalence, AUD is still severely undertreated.
The precise molecular mechanisms of how alcohol addiction forms are yet unknown.
However, previous studies on animal models show that along with the μ-opioid receptors,
the D2R dopamine receptors may also be involved in alcohol craving and reward
pathways. Currently, there is a limited number of treatment strategies for alcohol use disorder,
which include several medications and therapy. By understanding the limitations
of current treatment options and exploring new potential targets, it could be possible to
find more effective ways of treating AUD in the future.