bluuebunny/crossref_metadata_2025_split huggingface dataset:
Geographic variation in projected US forest aboveground carbon responses to climate change and atmospheric deposition
Authors: Reese Aspen , Clark Christopher M , Phelan Jennifer , Buckley John , Cajka James , Sabo Robert D , Van Houtven George 
Published: February 2024

Abstract
Forest composition and ecosystem services are sensitive to anthropogenic pressures like climate change and atmospheric deposition of nitrogen (N) and sulfur (S). Here we extend recent forest projections for the current cohort of trees in the contiguous US, characterizing potential changes in aboveground tree carbon at the county level in response to varying mean annual temperature, precipitation, and N and S deposition. We found that relative to a scenario with N and S deposition reduction and no climate change, greater climate change led generally to decreasing aboveground carbon (mean −7.5% under RCP4.5, −16% under RCP8.5). Keeping climate constant, reduced N deposition tended to lessen aboveground carbon (mean −7%), whereas reduced S deposition tended to increase aboveground carbon (+3%) by 2100. Through mid-century (2050), deposition was more important for predicting carbon responses except under the extreme climate scenarios (RCP8.5); but, by 2100, climate drivers generally outweighed deposition. While more than 70% of counties showed reductions in aboveground carbon relative to the reference scenario, these were not evenly distributed across the US. Counties in the Northwest and Northern Great Plains, and the northern parts of New England and the Midwest, primarily showed positive responses, while counties in the Southeast showed negative responses. Counties with greater initial biomass showed less negative responses to climate change while those which exhibited the greatest change in composition (>15%) had a 95% chance of losing carbon relative to a no-climate change scenario. This analysis highlights that declines in forest growth and survival due to increases in mean temperature and reductions in atmospheric N deposition are likely to outweigh positive impacts of reduced S deposition and potential increases in precipitation. These effects vary at the regional and county level, however, so forest managers must consider local rather than national dynamics to maximize forest carbon sinks in the future.
The steady state of the boundary-driven multiparticle asymmetric diffusion model
Authors: Frassek Rouven , Szécsényi István M 
Published: February 2024

Abstract
We consider the multiparticle asymmetric diffusion model (MADM) introduced by Sasamoto and Wadati with integrability preserving reservoirs at the boundaries. In contrast to the open asymmetric simple exclusion process the number of particles allowed per site is unbounded in the MADM. Taking inspiration from the stationary measure in the symmetric case, i.e. the rational limit, we first obtain the length 1 solution and then show that the steady state can be expressed as an iterated product of Jackson q-integrals. In the proof of the stationarity condition, we observe a cancellation mechanism that closely resembles the one of the matrix product ansatz. To our knowledge, the occupation probabilities in the steady state of the boundary-driven MADM were not available before.
Aggregate gradation effect on the mechanical properties of asphalt mixtures
Authors: Sulaiman Imad Dawood , abed Jasim M , Al-Saffar Zaid Hazim , Jaya Ramadhansyah Putra 
Published: February 2024

Abstract
The issue of road deterioration in Mosul, Iraq, has become a matter of concern for local communities. The instability of road surfaces under the stress of vehicular traffic necessitates significant intervention to mitigate and manage this problem. This study has developed an asphalt mixture by following the Bailey method for aggregate gradation. The impact of aggregate gradation on the mechanical properties of the asphalt mixture was thoroughly analysed. Additionally, two separate mixtures were conducted using the conventional Marshall method to assess indirect tensile strength, Marshall properties, and susceptibility to moisture damage. The primary objective of this research is to design an aggregate structure that acts as a robust unit capable of withstanding heavy loads, repeated stresses, and high temperatures. The findings of the study indicate that the asphalt mixture created using the Bailey method exhibited superior stability with values of 13.6 kN, compared to the two traditional mixtures (11.8 kN, 9.2 kN), and. However, it is worth noting that the flow values also indicated a relative preference for the Bailey method, with values of and 3.1 mm, compared with 3.85 mm and 3.2 mm of the traditional mixtures. The results of Tensile strength ratio further corroborated the efficacy of Bailey’s technique, with outcomes of 85.1 %, thus enhancing the applicability of this method. This observation is attributed to the concept of granular interlocking, which forms the foundation of the Bailey method.
The effect of sand on the mechanical characteristics of gypsum-lime mortars for heritage buildings
Authors: abed Duaa M , abed Jasim M , Al-Saffar Zaid H , Jaya Ramadhansyah Putra 
Published: February 2024

Abstract
The endurance and preservation of historical buildings greatly depend on the integration of lime into the mortar used for masonry linings. Therefore, conducting mechanical assessments of existing and restoration mortars is crucial to ensure their compatibility and prevent potential issues. This article emphasizes the role of sand in enhancing the efficiency and resilience of gypsum-lime mortars by examining how it influences on their mechanical properties. The main aim of this research is to provide practical guidance for the sustainable restoration and conservation of historical edifices. The study examines the mechanical attributes of gypsum-lime mortars for restoring historical structures, with a specific focus on evaluating the impact of different sand proportions (10%, 15%, and 20% by gypsum volume). Moreover, the results were scrutinized to comprehend the compositions, structural features, and compressive strength. Among the six mortar blends, the addition of 15% sand was identified as the most effective augmentation to gypsum-lime, demonstrating comparable workability. Furthermore, this proportion exhibited improved compressive and flexural strengths on the seventh day compared to pure gypsum-lime. This highlights the potential economic application and further enhancement of this locally sourced product in various finishing applications. Notably, gypsum-lime mortar infused with 15% sand exhibited optimal structural properties, particularly in terms of compressive strength.
Palm Oil Fuel Ash, Garnet Waste and Sawdust as Modified Asphalt Mixture: A Critical Review
Authors: Wan Noor Hin M S , Ramadhansyah P J , Masri K A 
Published: February 2024

Abstract
The addition of palm oil fuel ash (POFA), garnet waste, and sawdust as a modified asphalt binder and mixture for paving materials show that recycling materials from industrial and agricultural waste have been implemented with environmental concern, increasing the proper handling of this waste product. The use of POFA, garnet waste, and sawdust as a modifier to improve the properties of binder and mixture is critically evaluated in this study. The review focuses on the evaluation of POFA, garnet waste, and sawdust in asphalt binder and mixture modification. In essence, the combination of POFA, garnet waste, and sawdust offer a promising waste materials potential to enhance the rheological and mechanical performance of the modified binder and mixture. The use of this modification in the binder and mixture is expected to improve performance and be on par with the traditional asphalt binder and mixture.
Review of Subgrade Soil Stabilised with Natural and Synthetic Fibres
Authors: Nathen J M , Arshad A K , Rais N M , Shaffie E , Ismail F , Kamaluddin N A , Malek A Z A 
Published: February 2024

Abstract
Subgrade soil is an essential component in the design of road structures as it provides lateral support to the roadway. One of the main reasons for pavement failure is subgrade settlement, which leads to a loss of subgrade strength. If the mechanical properties of subsoils are lower than required, a soil stabilisation method may be an option to improve the soil properties of the weak subsoil. Soil stabilisation is one of the techniques for improving poor subsoil, which results in significant improvement in tensile strength, shear strength and bearing capacity of subsoil. Soil stabilisation can be broadly divided into four types: thermal, electrical, mechanical, and chemical. The most common method of improving the physical and mechanical properties of soils is stabilisation with binders such as cement and lime. However, soil stabilisation with conventional methods using cement and lime has become uneconomical in recent years, so an alternative such as fibres may be sought. This review provides a comprehensive comparison of the effectiveness of natural fibres and synthetic fibres in stabilising subgrade soils.
Incorporating Solid Waste Particles into Concrete Design to Enhance Drainage Infrastructure
Authors: Nadiatul Adilah A A G , Muhammad Fathi Z , Ramadhansyah P J , Khairil Azman M , Wan Mohd Faizal W I 
Published: February 2024

Abstract
The inadequate drainage structure can cause water to accumulate on the surface of the pavement, leading to degradation and reduced lifespan of the concrete structure. This study focuses on the incorporation of solid waste particles into the concrete mix to enhance the drainage structure and other concrete structures. Solid waste particles (SWP) are added to the concrete mix to improve the strength and absorption of the concrete, thus increasing the drainage efficiency. This is an economically effective solution since solid waste particles are common and easily accessible. The study investigates the effect of different percentages of solid waste particles (0%, 5%, 10%, and 15%) on the mechanical properties of the concrete mix and its permeability. Compressive strength tests were used to determine the mechanical parameters of the concrete mixtures and water absorption test to describe the porosity and moisture sensitivity of concrete.
Effect of Polymer-Modified Bitumen and Reclaimed Asphalt Pavement on The Physical Properties of Bitumen
Authors: Odubela C. A. , Yaacob H. , Warid M. N. M. , Karim K. J. A. , Mohd Lazi M. K. A. , Kamaruddin N. H. M. , Jaya R. P. , Al-Saffar Z. H. , Rahim M. I. K. A. 
Published: February 2024

Abstract
The high cost of road construction due to the energy required for new material production and the environmental impact necessitates the use of reclaimed asphalt pavement (RAP) and other waste materials. This paper examined the effect of using RAP with a PET additive as a rejuvenator. PET additive (2%) was added to the virgin binder (VB) of 60/70 penetration grade to form a Polymer modified bitumen (PMB). RAP percentages used were 30, 40, and 50%, respectively. The physical properties were examined using the penetration, softening point, and ductility. The results show that the physical properties of RAP were improved by utilizing Rap binder (RB) and PMB mix ratio. The penetration and ductility values increased by 46.4% and 66.7%, respectively, with the PMB (30): RB (70) ratio blend, compared to RB: VB blend. This suggests a reduction in brittle behavior and less stiffness with the addition of PMB in the blend, enhancing the flexibility of the RAP. Although both mixtures blended with RB exhibited softening points within the acceptable range, improved performance was observed with RB/PMB mix blend over RB/VB blend when used in hot asphalt mixture.
Satellite-based landslide distribution mapping with the adoption of deep learning approach in the Kuantan River Basin, Pahang
Authors: Yusri Nur Aqilah , Misbari Syarifuddin , Ismail Izza Wajihah , Gisen Jacqueline Isabella Anak 
Published: February 2024

Abstract
Landslides are one of the major geological phenomena that is widespread across the globe and have caused destructive outcomes to human life and the overall economic system. Tedious work is required to conventionally collect all evidence of multiple sizes of landslide occurrences in such a huge, developing city, including the Kuantan River Basin (KRB). In fact, landslides are difficult to identify in remote areas, such as in thick and mountainous areas, if no aerial devices or sensor technology is provided at the incident area. Ironically, the landslide distribution map is a useful tool that helps in staging the landslide mitigation plan for landslide-prone areas. Thus, the objectives of this study are (i) to identify landslide events using deep learning and vegetation index approaches on optical satellite data; and (ii) to develop landslide distribution mapping in KRB using the best approach. Remotely sensed optical images of Landsat 8 OLI and Worldview-2 were used to map the landslide distribution and study the spectral pattern of the landslide area. Normalized Difference Vegetation Index (NDVI) were generated for two consecutive years, which is from the year 2022 to 2023. Spectral bands in red and infrared are used to generate the NDVI for visual interpretation of landslide occurrences. The deep learning based on Convolutional Neural Network (CNN) model were used for the pixel classification process. The main output of this study would be a landslide distribution map for the KRB area with high accuracy. The result has also been verified using drone monitoring at the incident sites, which was able to improve landslide detection in tropical environments. Landslide distribution maps accuracy was measured by using the ROC-AUC method, the map accuracy is 88.9%. This map should help the government and private sector plan for the city’s urban development and provide proper planning for geohazard mitigation. An accurate landslide distribution map could be a source of reference for the National Disaster Management Authority (NADMA) for a quick rescue during emergency.
Low Flow Frequency Analysis at Triang River Streamflow Station
Authors: Samat S R , Lewis N A F I , Othman N 
Published: February 2024

Abstract
Low flow analysis is essential for determining the communities’ water supply. As water supply is a necessity for human daily survival, it is crucial to recognize that the availability of water can have a significant impact on local livelihoods and the sustainability of local populations. Triang River is a tributary of the Pahang River in Peninsular Malaysia. The existence of the Triang Water Intake and Treatment Plant along the Triang River stream serves to determine the low flow magnitudes and frequency curves for the Triang River streamflow station using the Weibull, Gringorten, and Cunnane plotting position formulas. Based on 20 years of historical data, this study analyzed the annual minimum streamflow data for 1-, 4-, 7-, and 30-day durations as well as the average recurrence intervals (ARIs) of 2-, 5-, 10-, 20-, 50-, and 100-year streamflow data. These three plotting position formulas were successfully used to estimate the low flow magnitudes for the various durations and different ARIs. The findings can serve as a guide for developing future water resource projects that take into account the Triang River’s low flow data.
Generation of a super-oscillation magnetization hotspot by reversing the electric dipole array radiation
Authors: Xiao Ruimin , Xiong Junyi , Wang Zhiyuan , Zhou Jia , Dai Guohong , Cai Mengqiang , Yan Weichao 
Published: February 2024

Abstract
We propose an all-optical approach to realize a super-oscillatory longitudinal magnetization hotspot with about 0.1λ in a 4π focusing system using time-reversed dipole radiation and vector diffraction theory calculations. Such a magnetization behavior is induced by focal fields of opposite polarities in the central and peripheral regions based on the inverse Faraday effect. By regulating the destructive interference in the central and peripheral regions of the focal field, a super-oscillating magnetization field is generated. Moreover, two important parameters affect the size of the magnetization field are also explored. Superoscillating magnetization hotspots in the focal region can be achieved by either increasing δ (the intensity of electric field) or reducing

d
n

(the distance of electric field). The achieved ultrasmall magnetization spot shows great prospects in high-density magnetic recording, magnetic resonance imaging, and magnetic sensors.
Comparison of transport coefficients before and after density pump-out induced by resonant magnetic perturbation using a BOUT++ six-field model on the EAST tokamak
Authors: DENG 邓 Chengcheng 成成 , LIU 刘 Zixi 子奚 , XIA 夏 Tianyang 天阳 , LIU 刘 Yanjun 彦君 , LI 厉 Pengcheng 鹏程 , LONG 龙 Feifei 飞飞 , GAO 高 Xiang 翔 , WANG 王 Shouxin 守信 , LI 李 Guoqiang 国强 , LIU 刘 Haiqing 海庆 , ZANG 臧 Qing 庆 , LI 李 Jiuying 玖瑛 , YANG 杨 Kangning 康宁 , WU 吴 Mingfu 茗甫 , YIN 尹 Xiaoyu 晓宇 , LI 李 Hong 弘 , XIE 谢 Jinlin 锦林 , LAN 兰 Tao 涛 , MAO 毛 Wenzhe 文哲 , LIU 刘 Adi 阿娣 , ZHOU 周 Chu 楚 , DING 丁 Weixing 卫星 , ZHUANG 庄 Ge 革 , LIU 刘 Wandong 万东 , the EAST Team  
Published: February 2024

Abstract
Many experiments have demonstrated that resonant magnetic perturbation (RMP) can affect the turbulent transport at the edge of the tokamak. Through the Experimental Advanced Superconducting Tokamak (EAST) density modulation experiment, the particle transport coefficients were calculated using the experimental data, and the result shows that the particle transport coefficients increase with RMP. In this study, the six-field two-fluid model in BOUT++ is used to simulate the transport before and after density pump-out induced by RMP, respectively referred as the case without RMP and the case with RMP. In the linear simulations, the instabilities generally decreases for cases with RMP. In the nonlinear simulation, ELM only appears in the case without RMP. Additionally, the particle transport coefficient was analyzed, and the result shows that the particle transport coefficient becomes larger for the case with RMP, which is consistent with the experimental conclusion. Moreover, its magnitude is comparable to the results calculated from experimental data.
Zeros of a growing number of derivatives of random polynomials with independent roots
Authors: Michelen Marcus , Vu Xuan-Truong 
Published: February 2024

Let

X
1

,

X
2

,
…

X_1,X_2,\ldots

be independent and identically distributed random variables in

C

{\mathbb {C}}

chosen from a probability measure

μ
\mu

and define the random polynomial

P
n

(
z
)
=
(
z
−

X
1

)
…
(
z
−

X
n

)

.

\begin{align*} P_n(z)=(z-X_1)\ldots (z-X_n)\,. \end{align*}

We show that for any sequence

k
=
k
(
n
)

k = k(n)

satisfying

k
≤
log
⁡
n

/

(
5
log
⁡
log
⁡
n
)

k \leq \log n / (5 \log \log n)

, the zeros of the

k
k

th derivative of

P
n

P_n

are asymptotically distributed according to the same measure

μ
\mu

. This extends work of Kabluchko, which proved the

k
=
1

k = 1

case, as well as Byun, Lee and Reddy [Trans. Amer. Math. Soc. 375, pp. 6311–6335] who proved the fixed

k
k

case.
Elementary abelian subgroups: From algebraic groups to finite groups
Authors: An Jianbei , Dietrich Heiko , Litterick Alastair 
Published: February 2024

We describe a new approach for classifying conjugacy classes of elementary abelian subgroups in simple algebraic groups over an algebraically closed field, and understanding the normaliser and centraliser structure of these. For toral subgroups, we give an effective classification algorithm. For non-toral elementary abelian subgroups, we focus on algebraic groups of exceptional type with a view to future applications, and in this case we provide tables explicitly describing the subgroups and their local structure. We then describe how to transfer results to the corresponding finite groups of Lie type using the Lang-Steinberg Theorem; this will be used in forthcoming work to complete the classification of elementary abelian

p
p

-subgroups for torsion primes

p
p

in finite groups of exceptional Lie type. Such classification results are important for determining the maximal

p
p

-local subgroups and

p
p

-radical subgroups, both of which play a crucial role in modular representation theory.
Influencing Factors of Psychological Resilience in Stroke Patients: A Systematic Review and Meta-Analysis
Authors: Wang Yuxin , Xie Hongxia , Sun Hongyu , Ren Liya , Jiang Hao , Chen Meijia , Dong Chaoqun 
Published: February 2024

Abstract

Objective
To systematically review the current status and influencing factors of psychological resilience in stroke patients and to provide a theoretical basis for future personalized rehabilitation support and psychological interventions.

Method
This systematic review and meta-analysis were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. A comprehensive search of databases including PubMed, Web of Science, Medline, PsycINFO, CINAHL, Cochrane Library, CNKI, VIP, CMB, and WANGFANG was conducted from inception until November 22, 2023, resulting in the retrieval of 2099 studies. Literature screening and data extraction were performed by two independent evaluators based on pre-defined inclusion and exclusion criteria, and meta-analysis was performed using Review Manager 5.4 software.

Results
The final review included 23 studies. The results showed that self-efficacy, hope, confrontation coping, avoidance coping, functional independence, quality of life, and social support were positively associated with psychological resilience. Conversely, anxiety, depression, and resignation coping were negatively associated with psychological resilience.

Conclusions
Patients with stroke have a low level of psychological resilience, which was influenced by a variety of factors. However, longitudinal and large sample studies are needed to further confirm these findings. These results should be integrated into clinical practice for early assessment and targeted intervention in psychological resilience to assist patients in coping with the rehabilitation process and life changes after a stroke.
scDecouple: decoupling cellular response from infected proportion bias in scCRISPR-seq
Authors: Meng Qiuchen , Wei Lei , Ma Kun , Shi Ming , Lin Xinyi , Ho Joshua W K , Li Yinqing , Zhang Xuegong 
Published: February 2024

Abstract
Single-cell clustered regularly interspaced short palindromic repeats-sequencing (scCRISPR-seq) is an emerging high-throughput CRISPR screening technology where the true cellular response to perturbation is coupled with infected proportion bias of guide RNAs (gRNAs) across different cell clusters. The mixing of these effects introduces noise into scCRISPR-seq data analysis and thus obstacles to relevant studies. We developed scDecouple to decouple true cellular response of perturbation from the influence of infected proportion bias. scDecouple first models the distribution of gene expression profiles in perturbed cells and then iteratively finds the maximum likelihood of cell cluster proportions as well as the cellular response for each gRNA. We demonstrated its performance in a series of simulation experiments. By applying scDecouple to real scCRISPR-seq data, we found that scDecouple enhances the identification of biologically perturbation-related genes. scDecouple can benefit scCRISPR-seq data analysis, especially in the case of heterogeneous samples or complex gRNA libraries.
CMAT: ClinVar Mapping and Annotation Toolkit
Authors: Shen April , Barbero Marcos Casado , Koylass Baron , Tsukanov Kirill , Cezard Tim , Keane Thomas M 
Published: February 2024

Abstract

Summary
Semantic ontology mapping of clinical descriptors with disease outcome is essential. ClinVar is a key resource for human variation with known clinical significance. We present CMAT, a software toolkit and curation protocol for accurately enriching ClinVar releases with disease ontology associations and complex functional consequences.

Availability and implementation
The software and ontology mappings can be obtained from: https://github.com/EBIvariation/CMAT.