bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research and Application of Dam Safety Monitoring Information Management System Based on GIS Platform
Authors: Li Yanan , Zhang Han , Yang Zhiyong , Cao Yuxin , Su Yongqi 
Published: July 2024

AbstractHydropower stations, as a green energy source, have grown rapidly in China, and dam safety is critical to ensuring power generation efficiency. There is currently no safety monitoring and management platform that combines dam structure, geology, hydrology and other data. To this end, a dam safety monitoring information management system is built based on a GIS platform, with ArcGIS Engine serving as the GIS class library and the NET Framework serving as the programming model for program implementation. The system connects the GIS spatial database to the monitoring database, combines spatial analysis and data mining technology, and realizes functions such as 3D visual structures display, spatial analysis and evaluation of monitoring data, providing a more scientific and intelligent method for dam safety management. After verification in actual projects, the system can reasonably assess dam safety using measured data and projects, as well as make decision support recommendations.
Research on Gyratory Compaction Characteristics of Low Void Modified Asphalt Concrete Materials
Authors: Chen Qiang , Xu Wei , Li Yongjian , Liang Jingxian , Du Zizhan , Zhang Runan , Liu Jinhai 
Published: July 2024

AbstractThe compaction characteristics of asphalt concrete materials have a decisive impact on the degree of field compaction. Therefore, the study of the compacting law of composite modified asphalt mixture has important guiding significance for the field construction of pavement. This study used a gyratory compactor (SGC) to analyze the compaction characteristics of composite modified asphalt concrete materials from the two dimensions of asphalt-aggregate ratio and gradation. The test added 10% PE modifier by mass of asphalt and 0.2% polymer fiber. The compaction characteristics of LA-10 (low-void asphalt concrete materials), SMA-10, and AC-10 gradations under asphalt-aggregate ratio of 7.5%, 8.0%, and 8.5% were studied and compared with the compaction situation of the commonly used EA-10 for steel bridge deck pavement. The results showed that with changes in the asphalt-aggregate ratio, the trend of the mixture voidage and compaction curve was consistent. The LA-10 mixture reached the target voidage range at an asphalt-aggregate ratio of 7.5%, with good workability, while the AC-10 and SMA-10 mixtures reached the target voidage range at an asphalt-aggregate ratio of 8.0%, and were easier to compact. The compaction density energy index was SMA-10 > AC-10 > LA-10 > EA-10, and the compaction ease of LA-10 was relatively close to that of epoxy asphalt mixture EA-10. According to the above compaction characteristics, LA-10 is suitable for the lower layer of pavement, and SMA-10 and AC-10 are suitable for the upper layer of pavement.
Schwartz correspondence for real motion groups in low dimensions
Authors: Astengo Francesca , Di Blasio Bianca , Ricci Fulvio 
Published: July 2024

AbstractFor a Gelfand pair (G, K) with G a Lie group of polynomial growth and K a compact subgroup, the Schwartz correspondence states that the spherical transform maps the bi-K-invariant Schwartz space $${{\mathcal {S}}}(K\backslash G/K)$$

S
(
K
\
G
/
K
)

isomorphically onto the space $${{\mathcal {S}}}(\Sigma _{{\mathcal {D}}})$$

S
(

Σ
D

)

, where $$\Sigma _{{\mathcal {D}}}$$

Σ
D

is an embedded copy of the Gelfand spectrum in $${{\mathbb {R}}}^\ell $$

R

ℓ

, canonically associated to a generating system $${{\mathcal {D}}}$$
D
of G-invariant differential operators on G/K, and $${{\mathcal {S}}}(\Sigma _{{\mathcal {D}}})$$

S
(

Σ
D

)

consists of restrictions to $$\Sigma _{{\mathcal {D}}}$$

Σ
D

of Schwartz functions on $${{\mathbb {R}}}^\ell $$

R

ℓ

. Schwartz correspondence is known to hold for a large variety of Gelfand pairs of polynomial growth. In this paper we prove that it holds for the strong Gelfand pair $$(M_n,SO_n)$$

(

M
n

,
S

O
n

)

with $$n=3,4$$

n
=
3
,
4

. The rather trivial case $$n=2$$

n
=
2

is included in previous work by the same authors.
Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction
Authors: Gandotra Sonam , Kumar Yogesh , Modi Nandini , Choi Jaeyoung , Shafi Jana , Ijaz Muhammad Fazal 
Published: July 2024

AbstractGynaecological cancers encompass a spectrum of malignancies affecting the female reproductive system, comprising the cervix, uterus, ovaries, vulva, vagina, and fallopian tubes. The significant health threat posed by these cancers worldwide highlight the crucial need for techniques for early detection and prediction of gynaecological cancers. Preferred reporting items for systematic reviews and Meta-Analysis guidelines are used to select the articles published from 2013 up to 2023 on the Web of Science, Scopus, Google Scholar, PubMed, Excerpta Medical Database, and encompass AI technique for the early detection and prediction of gynaecological cancers. Based on the study of different articles on gynaecological cancer, the results are also compared using various quality parameters such as prediction rate, accuracy, sensitivity, specificity, the area under curve precision, recall, and F1-score. This work highlights the impact of gynaecological cancer on women belonging to different age groups and regions of the world. A detailed categorization of the traditional techniques like physical-radiological, bio-physical and bio-chemical used to detect gynaecological cancer by health organizations is also presented in the study. Besides, this work also explores the methodology used by different researchers in which AI plays a crucial role in identifying cancer symptoms at earlier stages. The paper also investigates the pivotal study years, highlighting the periods when the highest number of research articles on gynaecological cancer are published. The challenges faced by researchers while performing AI-based research on gynaecological cancers are also highlighted in this work. The features and representations such as Magnetic Resonance Imaging (MRI), ultrasound, pap smear, pathological, etc., which proficient the AI algorithms in early detection of gynaecological cancer are also explored. This comprehensive review contributes to the understanding of the role of AI in improving the detection and prognosis of gynaecological cancers, and provides insights for future research directions and clinical applications. AI has the potential to substantially reduce mortality rates linked to gynaecological cancer in the future by enabling earlier identification, individualised risk assessment, and improved treatment techniques. This would ultimately improve patient outcomes and raise the standard of healthcare for all individuals.
Population-based detection of children ASD/ADHD comorbidity from atypical sensory processing
Authors: Fernández-Delgado Manuel , Cruz Sara , Cernadas Eva , Alateyat Heba , Tubío-Fungueiriño María , Sampaio Adriana , Carracedo Angel , Fernández-Prieto Montse 
Published: July 2024

AbstractComorbidity between neurodevelopmental disorders is common, especially between autism spectrum disorder (ASD) and attention deficit/hyperactivity disorder (ADHD). This study aimed to detect overlapped sensory processing alterations in a sample of children and adolescents diagnosed with both ASD and ADHD. A collection of 42 standard and 8 proposed machine learning classifiers, 22 feature selection methods and 19 unbalanced classification strategies were applied on the 6 standard question groups of the Sensory Profile-2 questionnaire. The relatively low performance achieved by state-of-the-art classifiers led us to propose the feature population sum classifier, a probabilistic method based on class and feature value populations, designed for datasets where features are discrete numeric answers to questions in a questionnaire. The proposed method achieves the best kappa and accuracy, 60% and 82.5%, respectively, reaching 68% and 86.5% combined with backward sequential feature selection, with false positive and negative rates below 15%. Since the SP2 questionnaire can be filled by parents for children from three years, our prediction can alert the clinicians with an early diagnosis in order to apply early interventions.
Long-term warming in a temperate forest accelerates soil organic matter decomposition despite increased plant-derived inputs
Authors: San Román Atzín X. , Srikanthan Nivetha , Hamid Andreia A. , Muratore Thomas J. , Knorr Melissa A. , Frey Serita D. , Simpson Myrna J. 
Published: July 2024

AbstractClimate change may alter soil microbial communities and soil organic matter (SOM) composition. Soil carbon (C) cycling takes place over multiple time scales; therefore, long-term studies are essential to better understand the factors influencing C storage and help predict responses to climate change. To investigate this further, soils that were heated by 5 °C above ambient soil temperatures for 18 years were collected from the Barre Woods Soil Warming Study at the Harvard Forest Long-term Ecological Research site. This site consists of large 30 × 30 m plots (control or heated) where entire root systems are exposed to sustained warming conditions. Measurements included soil C and nitrogen concentrations, microbial biomass, and SOM chemistry using gas chromatography–mass spectrometry and solid-state 13C nuclear magnetic resonance spectroscopy. These complementary techniques provide a holistic overview of all SOM components and a comprehensive understanding of SOM composition at the molecular-level. Our results showed that soil C concentrations were not significantly altered with warming; however, various molecular-level alterations to SOM chemistry were observed. We found evidence for both enhanced SOM decomposition and increased above-ground plant inputs with long-term warming. We also noted shifts in microbial community composition while microbial biomass remained largely unchanged. These findings suggest that prolonged warming induced increased availability of preferred substrates, leading to shifts in the microbial community and SOM biogeochemistry. The observed increase in gram-positive bacteria indicated changes in substrate availability as gram-positive bacteria are often associated with the decomposition of complex organic matter, while gram-negative bacteria preferentially break down simpler organic compounds altering SOM composition over time. Our results also highlight that additional plant inputs do not effectively offset chronic warming-induced SOM decomposition in temperate forests.
The classifications of o-monomials and of 2-to-1 binomials are equivalent
Authors: Kölsch Lukas , Kyureghyan Gohar 
Published: July 2024

AbstractWe observe that on the binary finite fields the classification of 2-to-1 binomials is equivalent to the classification of o-monomials, which is a well-studied and elusive problem in finite geometry. This connection implies a complete classification of 2-to-1 binomials $$b=x^d+ux^e$$

b
=

x
d

+
u

x
e

for a large set of values of (d, e). Further, we show that a number of the known infinite families of 2-to-1 maps can be traced back to o-polynomials or to difference maps of APN maps. We also provide some connections between 2-to-1 maps and hyperovals in non-desarguesian planes.
Evaluation of PWV products derived from satellite-based and radiosonde retrievals for the eastern anatolia observatory (DAG)
Authors: Balbay Recep , Kaba Kazım , Fişek Süleyman , Yeşilyaprak Cahit 
Published: July 2024

AbstractIn this study, we have presented the results of the precipitable water vapor (PWV) for the Eastern Anatolia Observatory (in Turkish: Doğu Anadolu Gözlemevi, the acronym is DAG) site in Erzurum, Türkiye. The DAG has Türkiye’s largest and the first near infrared (NIR) telescope with a mirror diameter of 4 meters at the altitude of 3170 m. The DAG telescope is going to take the first light in the end of summer 2024. This study is focused on the examining of the precipitable water vapor data for the NIR observations at the DAG. In this context, the NWC SAF Total Precipitable Water (TPW) data obtained by both the satellite based and the radiosonde balloon validated with six radiosonde stations were examined by temporal, vertical and horizontal analyses for the DAG site between June 2019 to December 2020. The results obtained from these analyzes indicate that the mean and median TPW values at the DAG site were approximately 7 mm and the minimum and maximum values were 0.59 mm and 24.12 mm, respectively. The monthly median TPW values at the DAG site varied between approximately 3-10 mm, with a decreasing trend from June to January and an increase in the first seven months of 2020. These results also indicate that the TPW data obtained by its 15 minutes temporal resolution, aligns closely with the radiosonde measurements. Furthermore, the values of PWV at both lower and upper levels of the atmosphere are minimal while the values increase slightly in the middle layer of the atmosphere. As a result, the effective monitoring of the PWV in a site would result in the generation of higher quality astronomical IR observations and be important in terms of the optimum operating cost for an observatory.
Identification of key genes involved in collagen hydrogel-induced chondrogenic differentiation of mesenchymal stem cells through transcriptome analysis: the role of m6A modification
Authors: Chen Chaotao , Xiong Kai , Li Kanglu , Zhou Bo , Cheng Jianwen , Zhu Bo , Zheng Li , Zhao Jinmin 
Published: July 2024

AbstractCollagen hydrogel has been shown promise as an inducer for chondrogenic differentiation of bone marrow mesenchymal stem cells (BMSCs), contributing to the repair of cartilage defects. However, the precise molecular mechanism underlying this phenomenon remains poorly elucidated. Here, we induced chondrogenic differentiation of BMSCs using collagen hydrogel and identified 4451 differentially expressed genes (DEGs) through transcriptomic sequencing. Our analysis revealed that DEGs were enriched in the focal adhesion pathway, with a notable decrease in expression levels in the collagen hydrogel group compared to the control group. Protein-protein interaction network analysis suggested that actinin alpha 1 (ACTN1) and actinin alpha 4 (ACTN4), two proteins also involved in cytoskeletal recombination, may be crucial in collagen hydrogel-induced chondrogenic differentiation of BMSCs. Additionally, we found that N6-methyladenosine RNA methylation (m6A) modification was involved in collagen hydrogel-mediated chondrogenic differentiation, with fat mass and obesity-associated protein (FTO) implicated in regulating the expression of ACTN1 and ACTN4. These findings suggest that collagen hydrogel might regulate focal adhesion and actin cytoskeletal signaling pathways through down-regulation of ACTN1 and ACTN4 mRNA via FTO-mediated m6A modification, ultimately driving chondrogenic differentiation of BMSCs. In conclusion, our study provides valuable insights into the molecular mechanisms of collagen hydrogel-induced chondrogenic differentiation of BMSCs, which may aid in developing more effective strategies for cartilage regeneration.
Graphical Abstract
Adverse effects of sterilization processes on the fundamental topographic properties of modified dental implant surfaces
Authors: Kunrath Marcel F. , Hubler Roberto , Dahlin Christer 
Published: July 2024

AbstractThe employ of sterilization processes are essential to investigate biomaterials aiming for experimental, preclinical, or clinical applications with biological tissues. However, responsive surface properties of biomaterials may be susceptible to sterilization processes, compromising important physio-chemical characteristics. For that reason, this in vitro study aimed to investigate the effects of three different processes for sterilization (humid heat under pressure, UVC-light exposure, and Gamma irradiation) on the major topographical properties of implant surfaces applied to dental bone-anchored implants and/or implant-abutments. Three groups of implant surfaces were developed: a smooth machined surface, a micro-texturized surface, and a hydrophilic micro-texturized surface. The implants were sterilized with three methodologies and characterized regarding surface morphology, elemental surface composition, roughness parameters, wettability characteristics, and compared to the samples as-developed. Surface morphology and roughness parameters were not modified by any of the sterilization processes applied. On the other hand, hydrophilic implants were negatively affected by autoclaving. After package opening, hydrophilic features showed to be sensible to atmospheric air exposition independently of the sterilization process performed. Our findings revealed significant chemical changes on the implant surfaces caused by autoclaving and UVC exposure; additionally, the results showed the importance of selecting an appropriate sterilization method when investigating hydrophilic implants so as not to generate imprecise outcomes.
Graphical Abstract
Divide-and-conquer-based approach for the reaction uniqueness analysis in overconstrained multibody systems
Authors: Pękal Marcin , Malczyk Paweł , Wojtyra Marek , Frączek Janusz 
Published: July 2024

AbstractFor rigid multibody systems with redundant constraints, mathematical modeling and physical interpretation of the obtained results are impeded due to the nonuniqueness of the calculated reactions, which—in the case of load-dependent joint friction—may additionally lead to unrealistic simulated motion. It makes the uniqueness analysis crucial for assessing the fidelity of the results. The developed methods so far for the uniqueness examination—based on the modified mobility equation, the constraint matrix, or the free-body diagram—are not well suited for multibody systems described by relative coordinates. The novel method discussed in this paper breaks this limitation. The proposed approach is based on the divide-and-conquer algorithm (DCA)—a low-order recursive method for dynamic simulations of complex multibody systems. The devised method may be used for checking the joint-reaction uniqueness of holonomic systems with ideal constraints that fulfill some additional assumptions. The reaction-uniqueness analysis is performed when the main pass of the DCA is completed. An eight-step algorithm is proposed. In the case of the single-joint connections, it is sufficient to study the appropriate equations of motion. However, if the multijoint connection is present, then one of the numerical methods—known from the constraint-matrix-based or the free-body-diagram-based approach—has to be used, namely the rank-comparison, QR-decomposition, SVD, or nullspace methods; all of these approaches are discussed. To illustrate the devised method, a spatial parallelogram mechanism with a triple pendulum is analyzed.
Monotone-Cevian and Finitely Separable Lattices
Authors: Ploščica Miroslav , Wehrung Friedrich 
Published: July 2024

AbstractA distributive lattice with zero is completely normal if its prime ideals form a root system under set inclusion. Every such lattice admits a binary operation $$(x,y)\mapsto x\mathbin {\smallsetminus }y$$

(
x
,
y
)
↦
x
\
y

satisfying the rules $$x\le y\vee (x\mathbin {\smallsetminus }y)$$

x
≤
y
∨
(
x
\
y
)

and $$(x\mathbin {\smallsetminus }y)\wedge (y\mathbin {\smallsetminus }x)=0$$

(
x
\
y
)
∧
(
y
\
x
)
=
0

— in short a deviation. In this paper we study the following additional properties of deviations: monotone (i.e., isotone in x and antitone in y) and Cevian (i.e., $$x\mathbin {\smallsetminus }z\le (x\mathbin {\smallsetminus }y)\vee (y\mathbin {\smallsetminus }z)$$

x
\
z
≤
(
x
\
y
)
∨
(
y
\
z
)

). We relate those matters to finite separability as defined by Freese and Nation. We prove that every finitely separable completely normal lattice has a monotone deviation. We pay special attention to lattices of principal $$\ell $$
ℓ
-ideals of Abelian $$\ell $$
ℓ
-groups (which are always completely normal). We prove that for free Abelian $$\ell $$
ℓ
-groups (and also free $$\Bbbk $$
k
-vector lattices) those lattices admit monotone Cevian deviations. On the other hand, we construct an Archimedean $$\ell $$
ℓ
-group with strong unit, of cardinality $$\aleph _1$$

ℵ
1

, whose principal $$\ell $$
ℓ
-ideal lattice does not have a monotone deviation.
Electric vehicle adoption intentions among UK residents parking in shared and public spaces
Authors: Budnitz Hannah , Meelen Toon , Schwanen Tim 
Published: July 2024

AbstractA lack of charging opportunities is cited as one of the main barriers to the adoption of plug-in battery electric vehicles (BEVs). Charging opportunities are even more limited for the millions of households across Europe without the space to charge a vehicle at home, but research has not previously targeted these households. This study aims to fill this gap by assessing whether and how such residential parking constraints shape norms, attitudes and perceived behavioural control over charging, and thus intentions to adopt a BEV. Data from a nationally representative survey of car drivers in the UK without a private driveway or garage captures the perspective of these individuals who have different characteristics from early adopters of BEVs. The results show that personal norms around the environmental benefits of BEVs and positive attitudes towards BEV technology have the greatest influence on intentions to adopt, whilst social norms and perceived behavioural control over charging are less influential. The results also show that high income men are most likely to hold positive social norms that boost their intentions to adopt BEVs, whilst geographical context affects both social norms and perceived behavioural control over charging. In summary, the psychological approach applied shows that a more inclusive transition to BEVs is best supported by policies that first focus on emphasising their environmental benefits and that they are fun and economical to drive, and then look to increase social expectations and awareness of BEVs and charging infrastructure.
When Goliath sells to David: explaining price gouging perceptions through power
Authors: Jauernig Johanna , Uhl Matthias , Pies Ingo 
Published: July 2024

AbstractExternal shocks (e.g., due to a pandemic) may lead to price jumps in the short term. Rather than being read as a signal of increased scarcity, the resulting “price gouging” is often ascribed to sellers’ selfish exploitation of the crisis. In our experimental study, we investigate the drivers of fairness perceptions regarding voluntary transactions in situations of increased scarcity and explore how they pertain to the economic policy debate on price gouging restrictions. Departing from previous research, our results show that perceptions of power, not of the seller as the profiteer (mercantilism), drive fairness perceptions. The more powerful a transaction partner is assumed to be, the less the respective transaction is regarded as fair. In line with the literature, we also find that fairness perceptions are correlated with zero-sum thinking (i.e., a denial of the mutuality of benefits implied by voluntary transactions). Our study helps to better understand why some market regulations appear attractive despite suboptimal outcomes, thus revealing a mixing of the micro and the macro cosmos, against which Hayek warned. By casting a light on the psychological mechanisms behind attitudes toward markets, we aim to improve the assessment of legitimacy issues and contribute to explaining (and overcoming) the moral paradox of modernity.