bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural entropy minimization combining graph representation for money laundering identification
Authors: Wang Shaojiang , Wang Pengcheng , Wu Bin , Zhu Yifan , Luo Wei , Pan Yicheng 
Published: April 2024

AbstractMoney laundering identification (MLI) is a challenging task for financial AI research and application due to its massive transaction volume, label sparseness, and label bias. Most of the existing MLI methods focus on individual-level abnormal behavior while neglecting the community factor that money laundering is a collaborative group crime. Furthermore, the massive volume of transactions and the issue of label shifting also impede the application of supervised or semi-supervised models. To this end, this paper proposes an efficient community-oriented algorithm, namely SEGE, to identify money laundering based on structural entropy minimization (SEM) with graph embedding in an unsupervised approach. Experiments on both a private real-world money laundering network and a public synthetic dataset show that our SEGE algorithm derives prominent performance and outperforms the parameterized learning-based graph representation methods. Moreover, we find that there are pervasive sub-communities in the real-world money laundering network. Based on our local algorithm, we propose a real combat strategy against the money laundering group, in which when we have several scattered suspicious accounts in the transaction network, we are able to retrieve the whole money laundering group by the union of sub-communities with both high precision and high recall rates.
A hydro-climatic approach for extreme flood estimation in mountainous catchments
Authors: Bashirgonbad Mohammad , Moghaddam Nia Alireza , Khalighi-Sigaroodi Shahram , Gholami Vahid 
Published: April 2024

AbstractPrediction of rainfall-runoff process, peak discharges, and finally flood hydrograph is essential for flood risk management and river engineering projects. In most previous studies in this field, the precipitation rates have been entered into the models without considering seasonal and monthly distribution. In this study, the daily precipitation data of 144 climatology stations in Iran were used to evaluate the seasonal and monthly pattern of flood-causing precipitation. Then, by determining the rainy seasons and seasonal fit of precipitation with a probabilistic model and using regional precipitation, a semi-distributed conceptual model of rainfall-runoff (MORDOR-SD) was trained and validated using the observed discharge data. Flood prediction was performed using climatic data, modeling of hydrological conditions, and extreme flow data with high performance. According to the results, the Nash–Sutcliffe and Kling–Gupta coefficients were 0.69 and 0.82 for the mean daily streamflow, 0.98 and 0.98 for the seasonal streamflow, 0.98 and 0.94 for the maximum discharges, and 0.57 and 0.78 for low flows, respectively. Moreover, the maximum daily discharges in different return periods were estimated using the results of the MORDOR-SD model, considering the probability distribution function of the probabilistic model of central precipitation (MEWP), the probabilistic model of adjacent precipitation, and probability distribution function of the previous precipitation. Finally, the extreme flows were predicted and compared using different methods including the SCHADEX, regional flood analysis, GRADEX, and AGREGEE. The results showed that the methods GRADEX, AGREGEE, and SCHADEX have the highest performance in predicting extreme floods, respectively.
Ex vivo, in vivo and in silico studies of corneal biomechanics: a systematic review
Authors: Mascolini Maria Vittoria , Toniolo Ilaria , Carniel Emanuele Luigi , Fontanella Chiara Giulia 
Published: April 2024

AbstractHealthy cornea guarantees the refractive power of the eye and the protection of the inner components, but injury, trauma or pathology may impair the tissue shape and/or structural organization and therefore its material properties, compromising its functionality in the ocular visual process. It turns out that biomechanical research assumes an essential role in analysing the morphology and biomechanical response of the cornea, preventing pathology occurrence, and improving/optimising treatments. In this review, ex vivo, in vivo and in silico methods for the corneal mechanical characterization are reported. Experimental techniques are distinct in testing mode (e.g., tensile, inflation tests), samples’ species (human or animal), shape and condition (e.g., healthy, treated), preservation methods, setup and test protocol (e.g., preconditioning, strain rate). The meaningful results reported in the pertinent literature are discussed, analysing differences, key features and weaknesses of the methodologies adopted. In addition, numerical techniques based on the finite element method are reported, incorporating the essential steps for the development of corneal models, such as geometry, material characterization and boundary conditions, and their application in the research field to extend the experimental results by including further relevant aspects and in the clinical field for diagnostic procedure, treatment and planning surgery. This review aims to analyse the state-of-art of the bioengineering techniques developed over the years to study the corneal biomechanics, highlighting their potentiality to improve diagnosis, treatment and healing process of the corneal tissue, and, at the same, pointing out the current limits in the experimental equipment and numerical tools that are not able to fully characterize in vivo corneal tissues non-invasively and discourage the use of finite element models in daily clinical practice for surgical planning.
Application of seismic refraction and MASW methods for investigating the Spillway Fault trace along the western side of the Aswan High Dam, Egypt
Authors: Hamed Ahmed , Fat-Helbary Raafat El-Shafie , Mohamed Abdel-Monem , El-Faragawy Karrar Omar , Gaber Ahmed Abd El , Meneisy Ahmed M. 
Published: April 2024

AbstractAn earthquake of local magnitude ML = 4.6 occurred on November 7, 2010, 4.5 km northwest of the Aswan High Dam on the Spillway Fault. In the Aswan metropolitan region this earthquake was felt intensely. As no surface rupture was found, the focal mechanism and the distribution of seismic activity was one of the tools used for finding fault dimensions. The composite fault-plane solutions for the observed events on the Spillway Fault showed a left lateral strike-slip faulting with normal-fault component striking NNW-SSE. Also, remote sensing techniques were applied for the detection and identification of the geomorphology and geometry of the Spillway Fault. In this research, sub-surface layers and structures are delineated utilizing near-surface seismic techniques. Furthermore, the area’s supposed path and position of the Spillway Fault are also investigated. Two active seismic techniques, Seismic Refraction and Multi-Channel Analysis of Surface Waves (MASW), are utilized for recording near-surface seismic wave data at 9 sites. The seismic refraction profiles are conducted as a 2D cross-section on the trace of the detected Spillway Fault in the study area to evaluate the maximum depth of penetration of the P-wave for fault investigation. The constructed 2D seismic and structural sections from P-wave results show that the obtained average depth of about 30 m. In addition, the estimated P-wave velocities extend from 600 m/s to over 6500 m/s. Some lateral variation in the seismic wave velocities in all layers may represent fault zones. Moreover, the 1D MASW technique is conducted to estimate the velocities of the shear wave for the upper 30 m (Vs30) to provide the site classes and soil characteristics along both sides of the detected Spillway Fault trace in the study area. The calculated Vs30 values emphasized the idea of the existence of a normal dip-slip fault trace which divides the study area into two different lithological parts. The first part is located on the eastern side and characterized by almost class B (hard rock, according to NEHRP classification), while the other part is located to the west, and shows almost class type C (denoted as dense soil and soft rock soil).
Tai chi, irisin and cognitive performance: a clinical and biological investigation in older adults
Authors: Guazzarini Anna Giulia , Mancinetti Francesca , Bastiani Patrizia , Scamosci Michela , Cecchetti Roberta , Boccardi Virginia , Mecocci Patrizia 
Published: April 2024

Abstract
Background
Skeletal muscle is the main source of circulating irisin, both at rest and during physical activity. Previous studies have suggested that irisin can improve cognitive abilities.

Aims
We explored whether six months of Tai Chi (TC) practice can modulate such a relationship in healthy older persons.

Methods
This is a prospective clinical study to evaluate the effects of TC practice as compared with low intensity exercise (LI) and no exercise (NE) control groups on plasmatic irisin levels and cognitive performance. Forty-two healthy older persons were stratified into three groups according to physical activities. Biochemical assay and cognitive functions were assessed at the baseline and after six months.

Results
A significant change was found in circulating irisin levels in TC as compared with NE group (p = 0.050) across time. At six months in TC group irisin levels significantly correlated with a verbal memory test (p = 0.013) controlled by age and education.

Conclusion
Our results suggest the potential benefits for cognitive health of TC practice by irisin levels modulation.
Memristive crossbar-based circuit design of back-propagation neural network with synchronous memristance adjustment
Authors: Yang Le , Ding Zhixia , Xu Yanyang , Zeng Zhigang 
Published: April 2024

AbstractThe performance improvement of CMOS computer fails to meet the enormous data processing requirement of artificial intelligence progressively. The memristive neural network is one of the most promising circuit hardwares to make a breakthrough. This paper proposes a novel memristive synaptic circuit that is composed of four MOS transistors and one memristor (4T1M). The 4T1M synaptic circuit provides flexible control strategies to change memristance or respond to the input signal. Applying the 4T1M synaptic circuit as the cell of memristive crossbar array, based on the structure and algorithm of the back-propagation (BP) neural network, this paper proposes circuit design of the memristive crossbar-based BP neural network. By reusing the 4T1M memristive crossbar array, the computations in the forward-propagation process and back-propagation process of BP neural network are accomplished on the memristive crossbar-based circuit to accelerate the computing speed. The 4T1M memristive crossbar array can change all the cells’ memristance at a time, accordingly, the memristive crossbar-based BP neural network can realize synchronous memristance adjustment. The proposed memristive crossbar-based BP neural network is then evaluated through experiments involving XOR logic operation, iris classification, and MNIST handwritten digit recognition. The experimental results present fewer iterations or higher classification accuracies. Further, the comprehensive comparisons with the existing memristive BP neural networks highlight the advantages of the proposed memristive crossbar-based BP neural network, which achieves the fastest memristance adjustment speed using relatively few components.
China as a Threat and Balancing Behavior in the Realm of Emerging Technologies
Authors: Papageorgiou Maria , Can Muhammed , Vieira Alena 
Published: April 2024

AbstractIn the last years, China and the United States of America (US) have engaged in unprecedented competition in emerging technologies (ETs), in a context of China’s growing presence and shifting position in the international system. Drawing on data between 2017 and 2023 and strategic decisions, such as bans and export controls directed at China’s companies and the changing alignment posture of Western states, we employ the Balance of Threat (BoT) theory to examine China’s changing aggregate power, offensive capabilities and aggressive intentions, while also establishing the vanishing importance of the geographic dimension. We then turn to the behavior of the US and Western states by drawing on the BoT theory, which suggests balancing as a prime strategy to counter the threat and identify instances of the formation of a balancing coalition against China. We demonstrate how the notion of threat in ETs can be approached and conclude with a characterization of balancing in the domain of ETs that resonates with the notion of “gradual balancing”, in addition to outlining suggestions for future studies.
Occurrence and Distribution of Plastispheres in Coastal Sediments and Waters along the Maharashtra Coast, India
Authors: Verma Chandani R. , Pise Manoj , Hýsek Štěpán , Źółtowska Sonia , Kumkar Pradeep , Kalous Lukáš , Gosavi Sachin M. 
Published: April 2024

AbstractMicroplastics can promote microbial colonisation and biofilm growth, thus being referred to as “plastispheres”. The global plastic pollution surge is likely to adversely impact ecology and human health by providing a novel habitat for microbial communities. Even though microplastics in marine environments have been the subject of in-depth research, plastispheres have recently received attention. Thus, the current study investigates the prevalence and distribution of plastispheres along the Maharashtra coast of India, considering their plausible implications for ecology and human health. Microplastics were isolated from sediment and water samples obtained from 10 sampling sites. Subsequently, these microplastic particles were subjected to ATR-FTIR and scanning electron microscopy (SEM) analyses to ascertain their chemical composition, surface topography, and presence of attached biofilms. The predominant polymers composing the microplastic particles were polypropylene (42.8%), polyethylene (28.6%), polystyrene (14.3%), and polyvinyl chloride (14.3%). SEM analysis revealed the presence of topographical structures and degradation effects, facilitating microbial attachment on the microplastic surface. About 50% of the microplastic particles tested positive for biofilms, with over 66% of those collected from Girgaon and Malvan beaches exhibiting biofilm presence. These positively screened particles also displayed comparatively rough surface structures, likely enhancing microbial colonisation. Microplastic ageing and polymer type could positively affect microbial colonisation. Diatoms and fungal hyphae exhibit varied interactions with microplastic polymers. Notably, microplastics host various reproductive stages of fungi, as evidenced by filamentous networks, mycelia, and conidiophores.
A research landscape on customer co-creation value: a systematic literature network analysis
Authors: Bosisio Jessica 
Published: April 2024

AbstractCustomer co-creation value has become a widely used term to describe an active, creative, and social collaboration process between producers and customers, in order to help companies assess the value of customers. Therefore, customers become active participants in an innovation process and have always been identified as a co-creator of value. Although the topic of customer co-creation value represents an emerging phenomenon in the business ecosystem, extant literature appears largely unexplored, and a recent systematic review is missing. This paper thus aims to bridge the gap by carrying out a systematic literature network analysis. By analyzing the citation network, the keywords co-occurrence, and the global citation score retrieved from Scopus, this document explores how the literature has evolved over time, which papers played a key role in the progress of knowledge, which methodological approaches dominated, and the existence of promising research areas that have been scarcely explored or that have involved scholars in recent years.
Fact-finding surveys on role of flood fighting in present-day Japan and future prospects: case studies of Yodo River and Yamato River
Authors: Sato Hirokazu 
Published: April 2024

AbstractFlood mitigation efforts (flood fighting), including raising awareness among local residents, have been crucial in Japan to reduce damage during flood events. In this study, interviews were conducted with three flood fighting management bodies on the Yodo and Yamato Rivers, which still have strong flood fighting corps, and field investigations were performed focusing on the actual operation of flood fighting warehouses, which serve as infrastructure bases for flood fighting. Targets included the flood fighting affairs associations on the left and right banks for the Yodo River and that on the right bank for the Yamato River. The survey results showed that with the progress of flood control measures and river improvement, opportunities to conduct actual flood fighting work during floods decreased in all cases in recent years, but flood fighting techniques and knowledge were passed on through exercises and drills. In addition, the flood fighting warehouses were well managed and maintained their functions as material and equipment storage places and as waiting and meeting places for flood fighting corps members. Considering the intensification of external flood forces due to future extreme weather changes, it was deemed that the role of the flood fighting corps is expected to increase in importance, and it was judged that preparations were being made to respond to this trend. On the other hand, there were some challenges in terms of securing a sufficient number of members due to the shortage resulting from the aging of the corps members and maintaining warehouses from a budgetary standpoint.
Predicting the wicking rate of nitrocellulose membranes from recipe data: a case study using ANN at a membrane manufacturing in South Korea
Authors: Dissanayake Janith , Kang Sung Bong , Park Jihoon , Yinbao Fang , Park Sungryul , Lee Min-Ho 
Published: April 2024

AbstractLateral flow assays have been widely used for detecting coronavirus disease 2019 (COVID-19). A lateral flow assay consists of a Nitrocellulose (NC) membrane, which must have a specific lateral flow rate for the proteins to react. The wicking rate is conventionally used as a method to assess the lateral flow in membranes. We used multiple regression and artificial neural networks (ANN) to predict the wicking rate of NC membranes based on membrane recipe data. The developed ANN predicted the wicking rate with a mean square error of 0.059, whereas the multiple regression had a square error of 0.503. This research also highlighted the significant impact of the water content on the wicking rate through images obtained from scanning electron microscopy. The findings of this research can cut down the research and development costs of novel NC membranes with a specific wicking rate significantly, as the algorithm can predict the wicking rate based on the membrane recipe.
Graphical abstract
Correlation matrix displaying the distribution of the variables and linear correlations
Horticultural potential of chemical biology to improve adventitious rooting
Authors: Pincelli-Souza Renata P. , Tang Qian , Miller Brandon M. , Cohen Jerry D. 
Published: April 2024

AbstractThe first reports that auxins promoted root formation in cuttings and that indole-3-butyric acid (IBA) was a particularly effective treatment date from the early 1930s. Since its introduction into horticultural practice, the focus on improvements in the rooting of plants has been largely on the proper use of auxins to enhance adventitious rooting (AR) as well as to increase the range of plants where it can be effective. In this review, we focus on new ideas that might build on what is known about auxin induction of AR. We explore what the evolution in chemical biology has opened through novel high-throughput screening tools to explore auxin regulation of plant development and what it might add to our understanding and potential to produce new tools for the manipulation of AR. The potential for using stronger auxin analogues, alternative indolealkanoic acids, compounds that alter β-oxidation of IBA and other indolealkanoic acids, auxin conjugates, inhibitors of auxin conjugation, inhibitors of endogenous auxin biosynthesis, as well as other plant hormones and compounds that inhibit the production or mimic the effects of signals that might be involved in AR are all discussed. The expectation is that a summary of these advances in our understanding of the chemical biology important to AR might increase the use and exploration of new ideas for the improvement in the practical approaches to advance horticultural rooting methods.
Survey of Canadian Physician Use of Botulinum Toxin A (BoNT-A) for Paratonia: Real World Insights
Authors: Kleiner Galit , Ismail Farooq , Khan Omar , Pilieci Christopher , Truong Linda , Boulias Chris 
Published: April 2024

ABSTRACT:Paratonia is a form of hypertonia characterized by an inability to relax muscles in the setting of cognitive impairment. Paratonia results in pain, refusal of care, and caregiver burden. We sent surveys to 67 Canadian physiatrists and neurologists regarding their experience treating paratonia with botulinum toxin A (BoNT-A). Twenty-seven survey respondents were included in the analysis. Thirteen percent of survey respondents treating paratonia with BoNT-A reported a significant clinically relevant improvement; 74% endorsed a moderately clinically relevant improvement; 13% endorsed a slight clinically relevant improvement. Ninety percent of survey respondents endorsed significant barriers in treating paratonia with BoNT-A.
Predicting Future Trends of Terrestrial Dissolved Organic Carbon Transport to Global River Systems
Authors: Nakhavali Mahdi (André) , Lauerwald Ronny , Regnier Pierre , Friedlingstein Pierre 
Published: April 2024

AbstractA fraction of CO2 uptake by terrestrial ecosystems is exported as organic carbon (C) through the terrestrial‐aquatic continuum. This translocated C plays a significant role in the terrestrial C balance; however, obtaining global assessments remains challenging due to the predominant reliance on empirical approaches. Leaching of dissolved organic C (DOC) from soils to rivers represents an important fraction of this C export and is assumed to drive a large proportion of the net‐heterotrophy of river systems and the related CO2 emissions. Using the model JULES‐DOCM, we projected DOC leaching trends over the 21st century based on three scenarios with high (RCP 2.6), intermediate (RCP 4.5), and low (RCP 8.5) climate mitigation efforts. The RCP 8.5 scenario led to the largest DOC leaching increase of +42% to 395 Tg C yr−1 by 2100. In comparison, RCP 2.6 and RCP 4.5 led to increases of 10% and 21%, respectively. Under RCP 8.5, the sub‐tropical zone showed the highest relative increase of 50% above current levels. In the boreal and tropical zones, the simulations revealed similar increases of 48% and 41%, respectively. However, given the pre‐eminence of the tropics in DOC leaching, the absolute increment is markedly substantial from this region (+59 Tg C yr−1). The temperate zone displayed the lowest relative increase with 35%. Our analysis identified the rising atmospheric CO2 concentration and its fertilizing effect on terrestrial NPP as the main reason for the future increase in DOC leaching.