bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pioneering Exploration of Mo2AlB2‐Transition‐Metal‐Aluminum‐Boron‐Phase‐Supported Hydrophobic SrTiO3/Mo2AlB2 Nanocomposite for Improved Photocatalytic Carbendazim Degradation and CO2 Reduction to Ethanol through the Schottky Junction
Authors: Narendran Moorthy Gnanasekar , Peters Silda , John Bosco Aruljothy , Keerthiga Gopalram , Neppolian Bernaurdshaw , Senthil Kumar Sakkarapalayam Murugesan , Xiaoteng Liu Terence 
Published: March 2024

The global environmental and energy challenges necessitate the development of multifunctional materials that can address both pollutant removal and solar fuel production. In this groundbreaking study, the utilization of the Mo2AlB2 transition‐metal aluminum boron (MAB) phase is introduced as a cocatalyst in the SrTiO3/Mo2AlB2 nanocomposite, marking the first instance of its application in photocatalytic approaches to combat environmental and energy crises. A nanocomposite of SrTiO3/Mo2AlB2 is prepared by ultrasound‐assisted self‐assembly of SrTiO3 nanocubes (STO) with layered Mo2AlB2. The optimized catalyst denoted as STO@5‐MAB is subjected to comprehensive characterization to evaluate its physiochemical properties. Remarkably, the STO@5‐MAB composite demonstrates exceptional performance in both photocatalytic carbendazim (CBZ) degradation, achieving an impressive degradation of 87.5% and CO2 reduction to ethanol with a rate of 9.96 mmol g−1 h−1 under visible‐light illumination. This outstanding performance can be attributed to the composite's 1) hydrophobicity, 2) enhanced light absorption, and 3) the formation of a Schottky junction at the interface, facilitating efficient charge separation. In conclusion, the SrTiO3/Mo2AlB2 nanocomposite demonstrates immense potential in addressing pressing environmental and energy challenges through photocatalytic CBZ degradation and CO2 reduction to ethanol. In this study, the pivotal role of Mo2AlB2 in developing efficient photocatalysts is underscored for environmental and energy applications.
Characterization of Sub‐Tropically Adapted Maize Breeding Lines for Loci Governing Kernel Amylose and Resistant Starch
Authors: Reddappa Shashidhar B. , Chhabra Rashmi , Muthusamy Vignesh , Zunjare Rajkumar U. , Talukder Zahirul A. , Mishra Subhra J. , Katral Ashvinkumar , Singh Ashok K. , Hossain Firoz 
Published: March 2024

AbstractAmylose and resistant starch (RS) possess diverse health benefits besides serving as an important component in the starch industry. This study analyzed 48 subtropically‐adapted maize inbreds at multiple locations and characterized for specific starch genes using markers specific to SNPs. Significant variation for amylose (0.3–66.4%), RS (1.8–38.0%), and total starch (65.5–75.1%) is observed. Amylose showed a positive correlation with RS (r = 0.79**). Molecular analysis using 29 markers produced 40 alleles with an average major allele frequency of 0.84. Gene diversity, polymorphism information content (PIC), and genetic dissimilarity are 0.23, 0.19, and 0.33, respectively. The genotypes are categorized into six major clusters based on the markers, and high amylose and RS lines are assigned to cluster‐A and cluster‐B. The alleles associated with Sbe2b (84 bp Del) and Sbe1a (SNP “A”) showed positive correlations with amylose and RS. Additionally, allele “A” linked to the Sucrose transporter6 (Sut6) displayed a positive correlation with RS. Considering Sbe2b, Sbe1a and Sut6 genes, six haplotypes are observed, of these, hap‐A possessed the highest amylose and RS. The promising inbreds can be used as donors, while the validated markers for Sbe2b, Sbe1a and Sut6 genes can be effectively utilized for the improvement of amylose and RS through molecular breeding.
Physicochemical, Rheological Properties, and In‐Vitro Starch Digestibility of Flours and Starches from Pigeon Pea, Cowpea, Pinto Bean, and Navy Bean
Authors: Kumari Bharati , Sit Nandan 
Published: March 2024

AbstractThe physicochemical, rheological properties, and digestibility of flours and starches from pigeon pea, cowpea, pinto bean, and navy bean are investigated. Pinto bean flour (PBF) and Pinto bean starch (PBS) show the highest water absorption capacity (WAC), while cowpea flour (CPF) and cowpea starch (CPS) show the highest oil absorption capacity (OAC)‐ than other pulse flour or starches. All pulse flours show higher solubility than all pulse starches. However, the swelling power (SP) of all flours is lower than starches and SP is comparatively different among starches. Paste clarity, and relative crystallinity (RC), are higher in all flours compared to starches. However, pasting properties and consistency index (K) are lower in flour compared to starches. All the flours and starches exhibit CA‐type crystallinity.The Scanning Electron Microscrographs reveals smooth granular surfaces of all starch and flour. Both flours and starches show flow behavior (n < 1) and viscosity decreased with increasing shear rate indicating the non‐Newtonian fluid behavior. All starches show higher rapidly digestible starch (RDS) and resistant starch (RS) content but lower slowly digestible starch (SDS) content than all flours. These flours and starches can be used as valuable ingredients for formulating functional food, soup, and starch gel.
Finite element analysis of concrete‐encased columns reinforced with multiple steel sections
Authors: Bao Lianjin , Li Guoqiang , Fan Feng , Zhao Hang , Huang Gang , Sun Jianyun , Sun Feifei 
Published: March 2024

SummaryConcrete‐encased columns reinforced with one built‐up steel core are widely used as mega columns in high‐rise buildings. Due to the enormous size of the steel core, multiple steel segments have to be welded and spliced on‐site, which might inflict detrimental impacts on the integrity and ductility of the columns. To solve this practical issue, one method using multiple steel sections to replace one gigantic built‐up section is proposed. However, whether those columns reinforced with individual steel sections could have the same capacity as the ones reinforced with one steel core and whether the current design method relying on strain compatibility is still applicable to design such columns remain unknown. In this study, one column specimen reinforced with multiple steel sections is tested and the test results are utilized to calibrate finite element models. Afterward, finite element (FE) analysis is performed on concrete‐encased columns reinforced with multiple steel sections to numerically examine the load capacity of those columns. Based on the numerical analysis, a design method based on modified strain distribution is proposed. Numerical results indicate that concrete‐encased columns reinforced with multiple steel sections exhibit similar performance compared with the one reinforced with one steel core, showing great potential to be applied as mega columns in high‐rise buildings.
MiR‐2110 induced by chemically synthesized cinobufagin functions as a tumor‐metastatic suppressor via targeting FGFR1 to reduce PTEN ubiquitination degradation in nasopharyngeal carcinoma
Authors: Fang Shiyi , Peng Lanzhu , Zhang Mengmin , Hou Rentao , Deng Xing , Li Xiaoning , Xin Jianyang , Peng Lingrong , Liu Zhihua , Liu Yiyi , Xie Yingying , Zhou Beixian , Fang Weiyi , Liu Zhen , Cheng Chao 
Published: March 2024

AbstractTumor cell metastasis is the key cause of death in patients with nasopharyngeal carcinoma (NPC). MiR‐2110 was cloned and identified in Epstein–Barr virus (EBV)‐positive NPC, but its role is unclear in NPC. In this study, we investigated the effect of miR‐2110 on NPC metastasis and its related molecular basis. In addition, we also explored whether miR‐2110 can be regulated by cinobufotalin (CB) and participate in the inhibition of CB on NPC metastasis. Bioinformatics, RT‐PCR, and in situ hybridization were used to observe the expression of miR‐2110 in NPC tissues and cells. Scratch, Boyden, and tail vein metastasis model of nude mouse were used to detect the effect of miR‐2110 on NPC metastasis. Western blot, Co‐IP, luciferase activity, colocalization of micro confocal and ubiquitination assays were used to identify the molecular mechanism of miR‐2110 affecting NPC metastasis. Finally, miR‐2110 induced by CB participates in CB‐stimulated inhibition of NPC metastasis was explored. The data showed that increased miR‐2110 significantly suppresses NPC cell migration, invasion, and metastasis. Suppressing miR‐2110 markedly restored NPC cell migration and invasion. Mechanistically, miR‐2110 directly targeted FGFR1 and reduced its protein expression. Decreased FGFR1 attenuated its recruitment of NEDD4, which downregulated NEDD4‐induced phosphatase and tensin homolog (PTEN) ubiquitination and degradation and further increased PTEN protein stability, thereby inactivating PI3K/AKT‐stimulated epithelial–mesenchymal transition signaling and ultimately suppressing NPC metastasis. Interestingly, CB, a potential new inhibitory drug for NPC metastasis, significantly induced miR‐2110 expression by suppressing PI3K/AKT/c‐Jun‐mediated transcription inhibition. Suppression of miR‐2110 significantly restored cell migration and invasion in CB‐treated NPC cells. Finally, a clinical sample assay indicated that reduced miR‐2110 was negatively correlated with NPC lymph node metastasis and positively related to NPC patient survival prognosis. In summary, miR‐2110 is a metastatic suppressor involving in CB‐induced suppression of NPC metastasis.
Genome‐wide scanning to identify and validate single nucleotide polymorphism markers associated with drought tolerance in spring wheat seedlings
Authors: Sallam Ahmed , Dawood Mona F. A. , Jarquín Diego , Mohamed Elsayed A. , Hussein Mohamed Y. , Börner Andreas , Ahmed Asmaa A. M. 
Published: March 2024

AbstractUnlike other growth stages of wheat, very few studies on drought tolerance have been done at the seedling stage, and this is due to the complexity and sensitivity of this stage to drought stress resulting from climate change. As a result, the drought tolerance of wheat seedlings is poorly understood and very few genes associated with drought tolerance at this stage were identified. To address this challenge, a set of 172 spring wheat genotypes representing 20 different countries was evaluated under drought stress at the seedling stage. Drought stress was applied on all tested genotypes by water withholding for 13 days. Two types of traits, namely morphological and physiological traits were scored on the leaves of all tested genotypes. Genome‐wide association study (GWAS) is one of the effective genetic analysis methods that was used to identify target single nucleotide polymorphism (SNP) markers and candidate genes for later use in marker‐assisted selection. The tested plant materials were genotyped using 25k Infinium iSelect array (25K) (herein after it will be identified as 25K) (for 172 genotypes) and genotyping‐by‐sequencing (GBS) (for 103 genotypes), respectively. The results of genotyping revealed 21,093 25K and 11,362 GBS‐SNPs, which were used to perform GWAS analysis for all scored traits. The results of GWAS revealed that 131 and 55 significant SNPs were controlling morphological and physiological traits, respectively. Moreover, a total of eight and seven SNP markers were found to be associated with more than one morphological and physiological trait under drought stress, respectively. Remarkably, 10 significant SNPs found in this study were previously reported for their association with drought tolerance in wheat. Out of the 10 validated SNP markers, four SNPs were associated with drought at the seedling stage, while the remaining six SNPs were associated with drought stress at the reproductive stage. Moreover, the results of gene enrichment revealed 18 and six pathways as highly significant biological and molecular pathways, respectively. The selection based on drought‐tolerant alleles revealed 15 genotypes with the highest number of different drought‐tolerant alleles. These genotypes can be used as candidate parents in future breeding programs to produce highly drought‐tolerant genotypes with high genetic diversity. Our findings in this study provide novel markers and useful information on the genetic basis of drought tolerance at early growth stages.
Degradation of Procion brilliant yellow H‐E6G using ultrasonic and hydrodynamic cavitation combined with oxidants with demonstration at pilot scale
Authors: Momin Rahat F. , Gogate Parag R. 
Published: March 2024

AbstractThe current study focuses on the degradation of Procion brilliant yellow H‐E6G, an azo dye, using ultrasonic and hydrodynamic cavitation (HC), evaluating the impact of various parameters on the extent of degradation. The use of only ultrasound showed less oxidation capacity as indicated by only 19.1% degradation at an optimized power of 140 W, pH of 2.5, temperature of 40°C, and initial dye concentration of 15 ppm. The effectiveness of hybrid approaches involving US + H2O2, US + Fenton, and US + H2O2 + potassium persulfate (KPS) was subsequently evaluated under optimized conditions. A notable enhancement in decolorization extent was observed for combined operations, including US + H2O2, US + Fenton, and US + H2O2 + KPS (dual oxidant scheme) with the actual decolorization extents as 80.6%, 85%, and 92.2% respectively. An optimized scheme of US + H2O2 + KPS was also utilized to decolorize the dye at a pilot scale using a US flow cell and also an HC reactor that yielded 91.8% and 88% reductions in initial concentration. The dye decolorization was elucidated to follow first‐order kinetics for all the individual and combination approaches. The obtained values of the rate constants were also utilized for the evaluation of the synergistic index. A toxicity analysis was also performed on the dye, both before and following treatment, utilizing two bacterial strains. A comparative analysis of various treatment approaches has been presented focusing on factors such as cavitational yield, operational expenses, and energy requirements. The study elucidated that the combination of US + H2O2 + KPS effectively removes Procion brilliant yellow H‐E6G giving 92.2% as the maximum degradation at an operating cost of 0.1862 $/L.Practitioner Points
First depiction of cavitative degradation of Procion brilliant yellow H‐E6G
Optimizing the equipment operating parameters and chemical oxidants
Demonstration of optimized treatment scheme at pilot scale
Evaluation of various approaches based on synergy and costs of treatment
US + H2O2 + KPS is the best approach for dye degradation
Conclusions: Tourism Sustainability and Improvement Plans
Authors: Peiro-Signes Ángel , Santamarina-Campos Virginia 
Published: March 2024

AbstractAs this book concludes, it is essential to summarise the critical mission we have engaged in: facilitating a shift towards the circular economy within the expanding tourism industry in the Valencian Region. This complex task has involved a multidimensional approach combining rigorous academic research, empirical field analyses, active collaboration with key stakeholders, and the development of the InnoEcoTur Innovation Platform.
Circular Economy Practices in the Spanish Beer Industry: The Case of the Beer Producer La Somniada
Authors: Puig Francisco , Navarro-Sanfelix Guillermo , Cantarero Santiago 
Published: March 2024

AbstractLa Somninada is an agroecological cooperative dedicated to ecologically producing craft beer. It was created in 2021, is located in a small town in a rural area of Castellón (Spain), and is a microenterprise. As its name indicates, “somniada” can be translated as “dreamed”, and it is the project of a brewery that was dreamed of its potential for developing territories in a sustainable way.La Somniada brings together aspects shared by other craft brewers, such as a commitment to flavor and focusing on a niche market based on proximity, customer loyalty, and resilience. However, unlike them, its culture is based on the principles of the circular economy, thus providing an excellent example of this sector’s transition towards this growth model.Given the great interest that the circular economy has raised in the Sustainable Development Goals (SDGs) of the United Nations as part of the 2030 Agenda and the link that the brewing industry has with the tourism sector, the study that this chapter makes to the circular economy practices deployed by this firm allows offering exciting lessons for entrepreneurs and different economic agents.
Returning Home Strategy Analysis Using Mobile Sensing Data in Tohoku Earthquake
Authors: Zhang Zhiwen , Wang Hongjun , Fan Zipei , Song Xuan 
Published: March 2024

AbstractIn recent decades, there has been a significant increase in the frequency and intensity of natural disasters. Such catastrophic events often result in large-scale population movements and evacuations. Analyzing these human activities is crucial for effective planning of disaster control, and ensuring long-term social stability. While some research has been conducted on post-disaster analysis, particularly focusing on big earthquakes [15, 22], very few studies have taken into account the influence of personal factors on decision-making. Understanding the key factors that drive individuals to choose a strategy, such as returning home, after a big earthquake is essential for comprehending human decision-making in such situations. Additionally, a considerable number of people may remain in companies or shelters due to the disruption of transportation networks. However, conducting such research is challenging due to the lack of big human mobility data. Furthermore, identifying the key factors that individuals consider when making decisions to return home after a big disaster is critical. To address these challenges, this study utilizes smartphone location data to track people’s movements. A large and diverse dataset was collected during the Tohoku earthquake in Japan in 2011, allowing for the discovery of grid-based regions with different functions based on POI distributions in a region. The analysis conducted in this study aims to explore the fundamental laws governing human mobility following disasters. This paper is an extended version of our previous lightning talks [24].
Terminology Saturation Analysis: Refinements and Applications
Authors: Kosa Victoria , Dobosevych Oles , Ermolayev Vadim 
Published: March 2024

AbstractIn this paper, we outline the results of our recent research on terminology saturation analysis (TSA) in subject domain-bounded textual corpora. We present the developed TSA method. We further report about the two use cases that proved the validity, efficiency, and effectiveness of TSA. Based on our experience of TSA use, we analyse the shortcomings of the method and figure out the ways to refinement and improvement. Further, we share our prognoses on how TSA could be used for: (i) generating quality datasets of minimal size for training large language models for performing better in scientific domains; (ii) iteratively constructing domain ontologies and knowledge graphs that representatively describe a subject domain, or topic; or (iii) detecting and predicting events based on the TSA of textual streams data.
Mechanism Design for Mobility
Authors: Harada Tsubasa , Itoh Toshiya , Matsubara Shigeo , Miyazaki Shuichi , Yokoo Makoto 
Published: March 2024

AbstractThis chapter presents the development of matching theory toward implementing the next-generation car-sharing systems, consisting of three topics: (1) online facility assignment problems on a line, (2) two-sided matching with flexible quotas: student-project-resource matching-allocation problem, and (3) formalizing station-based one-way car sharing as three-sided matching. The first two relate to developments in basic research, while the last one is application-oriented.
Integrable Systems Related to Matrix LR Transformations
Authors: Iwasaki Masashi , Shinjo Masato , Yamamoto Yusaku , Fukuda Akiko , Watanabe Sennosuke , Sekiguchi Masaki , Ishiwata Emiko 
Published: March 2024

AbstractThe discrete Toda (dToda) equation, which is a representative integrable system, is the recursion formula of the well-known quotient-difference algorithm for computing the eigenvalues of tridiagonal matrices. In other words, the dToda equation is related to the LR transformations of tridiagonal matrices. In this chapter, by extending the application of LR transformations from tridiagonal to Hessenberg matrices, we capture the discrete hungry Toda (dhToda) and discrete relativistic Toda (drToda) equations, which are extensions of the dToda equation from the perspective of LR transformations. From the LR perspective, we identify further extensions of the dhToda equations, and clarify the relationship between the drToda equation and the discrete hungry Lotka–Volterra system. We also demonstrate that ultradiscrete versions of discrete integrable systems related to the LR transformations can be used to compute the eigenvalues of matrices over min-plus algebra, as can discrete integrable systems over linear algebra. These ultradiscrete integrable systems are expected to be equations of motion for box-and-ball systems (BBSs), which are cellular automata that describe mobility phenomena. Thus, we present an example of utilizing the LR perspective to design a new BBS.
Numerical Analysis for Data Relationship
Authors: Sakurai Tetsuya , Futamura Yasunori , Imakura Akira , Ye Xiucai 
Published: March 2024

AbstractIn recent years, a vast amount of data has been accumulated across various fields in industry and academia, and with the rise of artificial intelligence and machine learning technologies, knowledge discovery and high-precision predictions through such data have been demanded. However, real-world data is diverse, including network data that represent relationships, data with multiple modalities or views, data that is distributed across multiple institutions and requires a certain level of information confidentiality.
Application of Tensor Network Formalism for Processing Tensor Data
Authors: Harada Kenji , Matsueda Hiroaki , Okubo Tsuyoshi 
Published: March 2024

AbstractNext-generation mobility services require a huge amount of data with multiple attributes. This data is stored as a multi-dimensional array called a tensor. A tensor network is an effective tool for representing a large composite tensor. As an application of the tensor-network formalism to tensor data processing, we present three research results from statistical physics: tree tensor networks, tensor ring decomposition, and MERA.
Machine Learning Approach to Mobility Analyses
Authors: Ikeda Kazushi , Kubo Takatomi 
Published: March 2024

AbstractMachine learning techniques are based on stochastic models associated with parameter estimation from massive data. They have been applied to scientific fields as well as industries, including mobility analyses. In this chapter, we introduce several machine learning techniques for mobility analyses, that is, techniques to track agents in a video, to extract the relationship among agents, and to analyze graphs, especially focusing on multi-animal behavior analyses.