bluuebunny/crossref_metadata_2025_split huggingface dataset:
Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning
Authors: Peng Hankui , Pavlidis Nicos G. 
Published: February 2022

AbstractSpectral-based subspace clustering methods have proved successful in many challenging applications such as gene sequencing, image recognition, and motion segmentation. In this work, we first propose a novel spectral-based subspace clustering algorithm that seeks to represent each point as a sparse convex combination of a few nearby points. We then extend the algorithm to a constrained clustering and active learning framework. Our motivation for developing such a framework stems from the fact that typically either a small amount of labelled data are available in advance; or it is possible to label some points at a cost. The latter scenario is typically encountered in the process of validating a cluster assignment. Extensive experiments on simulated and real datasets show that the proposed approach is effective and competitive with state-of-the-art methods.
Band Gaps in Metamaterial Plates: Asymptotic Homogenization and Bloch-Floquet Approaches
Authors: Faraci David , Comi Claudia , Marigo Jean-Jacques 
Published: February 2022

AbstractIn this work, we study the transversal vibration of thin periodic elastic plates through asymptotic homogenization. In particular, we consider soft inclusions and rigid inclusions with soft coatings embedded in a stiff matrix. The method provides a general expression for the dynamic surface density of the plate, which we compute analytically for circular inclusions or numerically for two-way ribbed plates. Through asymptotic homogenization, we find that band gaps related to in-plane propagating transversal waves occur for frequency intervals in which the effective surface density is negative. The same result is obtained via an asymptotic analysis of the Bloch-Floquet problem on a unit cell, showing the equivalence of the two approaches. Finally, we validate the method by comparing in several examples the predicted band gaps with those obtained from numerical Bloch-Floquet analyses on the real unit cell.
On sustainable improvements of agricultural practices in the Bairrada region (Portugal)
Authors: Cunha Maria C. , Serpa Dalila , Marques João , Keizer Jan J. , Abrantes Nelson 
Published: February 2022

AbstractThe objective of this paper is to develop a framework to overcome problems of soil nutrient legacies and poor quality of water bodies raised by agricultural practices. A multicriteria decision analysis (MCDA) approach is proposed to evaluate different alternatives to help to define sustainable vineyard agricultural solutions. The methodology developed was applied to a basin in the north-central part of Portugal, the São Lourenço basin. The land cover of the basin consists predominantly of vines. A number of alternatives based on different vineyard management practices and land use are evaluated against environmental and socioeconomic criteria by means of the soil and water assessment tool (SWAT) model and considering information included in some databases. The preference ranking organization method for enrichment evaluation (PROMETHEE) outranking method is used to rank the alternatives and to evaluate weight stability intervals assigned to criteria. A supplementary analysis is performed by a different MCDA method (technique for order of preference by similarity to ideal solution (TOPSIS)), belonging to the family of compensatory methods, to provide additional insights to the decision makers. The results show the best and the worst alternatives for vineyard agricultural practices according to the weights assigned to the criteria. The sensitivity analysis of the weights indicated most stable ranking cases and the criterion that presents the narrow stability intervals. This work offers the opportunity to discuss comparisons between different types of agricultural practices and give insights for future developments of other areas where intensive vineyard cultivation is implemented.
Potential ameliorative role of Spirulina platensis in powdered or extract forms against cyclic heat stress in broiler chickens
Authors: Elbaz Ahmed M. , Ahmed Ayman M. H. , Abdel-Maqsoud Ahmed , Badran Aml M. M. , Abdel-Moneim Abdel-Moneim Eid 
Published: February 2022

AbstractGlobal warming has become intensified and widespread, threatening the world with causing acute heatwaves that adversely affect poultry production and producers' profitability.Spirulina platensisis a precious and promising mitigating strategy to combat the detrimental impacts of heat stress due to its high contents of nutrients and bioactive components. The current study was designed to compare the incorporation impact ofS. platensispowder or aqueous extract on the growth and physiological responses of heat-stressed broiler chicks. Six hundred 1-day-old Ross 308 male broiler chicks were allocated into five experimental groups with six replicates of 20 chicks each. The control group fed the basal diet without additives, SPP1 and SPP2 groups fed the basal diet with 1 g/kg and 2 g/kgS. platensispowder, respectively, while SPE1 and SPE2 groups received 1 ml/L and 2 ml/LS. platensisaqueous extract in the drinking water, respectively. All birds were exposed to cyclic heat stress (34 ± 2 °C for 12 h) for three successive days a week from day 10 to day 35. In vitro analysis showed that total phenols, flavonoids, and antioxidant activity ofS. platensiswere remarkably decreased (P < 0.001) in the aqueous extract compared to the powder form. Body weight, weight gain, and feed conversion ratio were improved (P < 0.001) in all treated groups, while carcass yield and dressing percentage were increased only in SPP1 and SPP2. Feed and water intake and blood biochemical parameters were not affected. Both forms ofS. platensisenhanced the lipid profile, redox status, and humoral immune response of heat-stressed chicks superior to the powder form. Conclusively, the powder form ofS. platensiswas more effective in enhancing the productivity of broilers and alleviating the negative impacts of heat stress than the aqueous extract form.
Variations of soil phosphatase activity and phosphorus fractions in ginger fields exposed to different years of chloropicrin fumigation
Authors: Wang Yan , Yang Xiaomei , Xu Minggang , Geissen Violette 
Published: February 2022

Abstract
Purpose
Although soil fumigation efficiently controls soil-borne diseases, the effects of repeated soil fumigation on soil phosphorus (P) cycling are still largely unknown.

Methods
In this study we conducted a field experiment to explore soil phosphorus availability in ginger fields with 0, 3, and 7 years (F0, F3, and F7) of annual chloropicrin (CP) fumigation history in Shandong Province of China. Soil samples (0–20 cm) were collected at four different times in 2019. Ginger yield, soil phosphatase (acid and alkaline) activities, and soil P fractions were measured.

Results
Results showed that ginger rhizome yield was similar in F0 and F3 (70.0 t ha−1), but significantly lower in F7 (37.5 t ha−1). The acid phosphatase (AiP) activity was significantly higher in F0, while alkaline phosphatase (AlP) activity was the highest in F3. There was no significant difference in the available P (resin-P + NaHCO3-P + NaOH-P) between F0 and F7, with 33.6 to 57.5% of total P (TP), while the available P was significantly lower in F3, being less than 30% of TP. Redundancy analysis (RDA) showed that the highest pH values in F3 contributed to the lowest soil P availability there. AiP activities showed highly positive effects on the soil labile P contents.

Conclusion
Results suggested that more P fertilizers are needed after 3 years of CP fumigation to avoid soil P deficiency for ginger growth. The death of ginger became the main limitation for ginger production after 7 years of CP fumigation, at which time, comprehensive agricultural practices should be considered to control ginger soil-borne diseases.
Identifying Late Iron Age textile plant fibre materials with microscopy and X-ray methods — a study on finds from Ravattula Ristimäki (Kaarina, Finland)
Authors: Suomela Jenni A. , Suhonen Heikki , Räisänen Riikka , Wright Krista 
Published: February 2022

AbstractIn Finland, the earliest remains of a Christian church and cemetery date to the Late Iron Age (800–1150/1300 AD) and have been excavated in Ravattula Ristimäki, in Kaarina, southwestern Finland. In this study, seven assumingly plant fibre textile samples from individual inhumation graves were analysed to identify their materials. The aim of the study was to investigate the possibilities of identifying archaeological plant fibre samples using a three-stage procedure by observing the surface characteristics, microfibrillar orientation and cross section of the fibres via transmitted light microscopy (TLM). The identification process was based on such a TLM characterisation. Additionally, parts of the samples were studied with X-ray microtomography (micro-CT) and wide-angle X-ray scattering (WAXS) to test the possibilities of using the X-ray methods in research and to identify bast fibre textiles. Both flax and nettle were found in the samples, indicating a preference for these two fibre plants in Late Iron Age Finland.
Toward a Demsetzian Knowledge Theory
Authors: Maltsev Vladimir Vladimirovich , Yudanov Andrei Yurievich 
Published: February 2022

AbstractThe paper attempts to outline a general theory of knowledge in economics based on the work of Harold Demsetz. We identify that “knowledge encapsulation” is a key Demsetzian idea that could unite the otherwise fragmented or narrow research on knowledge in economics. The knowledge encapsulation concept holds that mobilizing cognitive resources and acting under full knowledge is costly. This creates an incentive to compress knowledge into an algorithmic form, which can then be transferred in a cost-efficient manner between a multitude of agents. From this idea of Demsetz, we create a simple theoretical model. To prove its generalizability, we extrapolate it onto a wide range of cases, from traditions and superstitions to institutions and division of knowledge. We conclude that knowledge encapsulation applies to an extensive array of phenomena. However, such encapsulation must also be supplemented by adequate enforcement and mechanisms of coping with ex-post consequences of its use. If our analysis is correct, then the Demsetzian theory could be a strong contender for becoming a fruitful alternative research paradigm on knowledge in economics.
Impact of monsoon shower on the hydrogeochemistry of groundwater along the lithological contact: a case study from South India
Authors: Natesan Devaraj , Sabarathinam Chidambaram , Kamaraj Pradeep , Mathivanan Mahalakshmi , Haji Muhammed , Mohan Viswanathan Prasanna , Chandrasekaran Thivya , Rajendran Thilagavathi 
Published: February 2022

AbstractGroundwater chemistry is mainly governed by lithological variations, space and resident time. In addition, hydrogeochemical characteristics of groundwater in the lithological contact zones are too complex. Hence, Cretaceous–Tertiary (KT) boundary from Ariyalur district, Tamilnadu, India, was selected for this study to identify the hydrogeochemistry of groundwater. This study includes 284 groundwater samples from four different seasons (pre-monsoon, post-monsoon, southwest monsoon and northeast monsoon). Groundwater samples were collected and analysed for major cations and anions, including physical parameters using standard procedures. High electrical conductivity (EC) showed the longer residence time of groundwater in hard rock region at the central and southern part of the study area. Ca2+, Na+, Cl− and HCO3− are the dominant ions in all the four seasons. The seasonal composition migration was observed from Na–Ca–Cl–HCO3 type to Na–Mg–Cl–HCO3 type, and Ca-HCO3 is the predominant water type in piper plot. Interpretation of data reveals that the groundwater quality was unsuitable for domestic and irrigation purposes during pre- and southwest monsoon seasons. Rock–water interaction and dissolution of minerals are the main sources of groundwater chemistry. Agriculture activities during monsoonal seasons also play a role in controlling the hydrogeochemistry of groundwater in this region.
Interactions of Ag nanoparticles with humic acid present in surface water
Authors: Basumallick Srijita 
Published: February 2022

AbstractThe present paper reports aggregation behaviour of humic acid (HA) in the presence of silver nanoparticles. Aggregation behaviour has been studied from dynamic light scattering (DLS) measurement, in the presence of silver nanoparticle. Silver nanoparticle has been prepared through chemical route and characterized by plasmon resonance spectroscopy. HA used in the study has been characterized by UV–Vis and fluorescence study; its charged state has been evaluated from the study of its interaction with a cationic dye ruthenium bipyridine. It has been found that HA forms small–medium- and large-sized aggregates in the presence of silver nanoparticle as obtained from DLS diameter. The result has been explained in terms of Langmuir–Hinshelwood adsorption model. It has been proposed that hydrogen bonding and hydrophobic interaction play an important role in the formation of aggregates of HA.
On expected face numbers of random beta and beta’ polytopes
Authors: Kabluchko Zakhar 
Published: February 2022

AbstractThe random beta polytope is defined as the convex hull of n independent random points with the density proportional to $$(1-\Vert x\Vert ^2)^\beta $$

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Low concentration isopropanol gas sensing properties of Ag nanoparticles decorated In2O3 hollow spheres
Authors: Zhang Chao , Huan Yunchun , Li Ying , Luo Yifan , Debliquy Marc 
Published: February 2022

AbstractIn order to detect low concentrations of volatile organic compounds (VOCs) for the early diagnosis of lung cancer, sensors based on hollow spheres of In2O3 were prepared through the soft template method. Ag nanoparticle decorated In2O3 composites were synthesized via dipping and annealing. The microstructure, phase composition, element distribution, and state of Ag were analyzed by the scanning electron microscopy (SEM), X-ray diffraction (XRD), high-resolution transmission electron microscopy (HRTEM), and X-ray photoelectron spectroscopy (XPS). The gas sensing tests showed that Ag-In2O3 sensors had the highest response to isopropanol at 300 °C. The best response of Ag-In2O3 composite sensor was 5.2, which had a significant improvement compared with only In2O3. Moreover, the response and recovery time of Ag-In2O3 composite sensor was significantly shortened. The improved sensing properties of Ag-In2O3 composite sensor could be attributed to the Schottky barrier created at Ag-In2O3 interface and catalytical effect of Ag.
Continuous SiC skeleton reinforced highly oriented graphite flake composites with high strength and specific thermal conductivity
Authors: Zhang Xiaoyu , Xie Wenqi , Sun Lan , Wei Zhilei , Zhang Zhejian , Zhu Yuanyuan , Hu Jiabin , Wang Shenghe , Shi Zhongqi 
Published: February 2022

AbstractHighly oriented graphite-based composites have attracted great attention because of their high thermal conductivity (TC), but the low mechanical properties caused by the inhomogeneous distribution and discontinuity of reinforcements restrict the wide applications. Herein, continuous SiC ceramic skeleton reinforced highly oriented graphite flake (SiC/GF) composites were successfully prepared by combining vacuum filtration and spark plasma sintering. The effect of SiC concentration on the microstructure, flexural strength, and thermophysical properties of the composites was investigated. The GF grains in the composites exhibited high orientation with a Lotgering factor of > 88% when the SiC concentration was ⩽ 30 wt%, and the SiC skeleton became continuous with the SiC concentration reaching 20 wt%. The formation of continuous SiC skeleton improved the flexural strength of the composites effectively while keeping the TC in a high level. Especially, the composites with 30 wt% SiC exhibited the flexural strength up to 105 MPa, and the specific TC reaching 0.118 W·m2·K−1·kg·1. The composites with excellent flexural strength and thermophysical properties showed significant promise for thermal management applications.
Remarkably enhanced piezo-photocatalytic performance in BaTiO3/CuO heterostructures for organic pollutant degradation
Authors: Yu Chengye , Tan Mengxi , Tao Chengdong , Hou Yuxuan , Liu Chuanbao , Meng Huimin , Su Yanjing , Qiao Lijie , Bai Yang 
Published: February 2022

AbstractIntroducing polarization field of piezoelectric materials is an effective strategy to improve photocatalytic performance. In this study, a new type of BaTiO3/CuO heterostructure catalyst was designed and synthesized to achieve high piezo-photocatalytic activity through the synergy of heterojunction and piezoelectric effect. The BaTiO3/CuO heterostructure shows a significantly enhanced piezo-photocatalytic degradation efficiency of organic pollutants compared with the individual BaTiO3 nanowires (NWs) and CuO nanoparticles (NPs). Under the co-excitation of ultrasonic vibration and ultraviolet radiation, the optimal degradation reaction rate constant k of polarized BaTiO3/CuO heterostructure on methyl orange (MO) dye can reach 0.05 min−1, which is 6.1 times of photocatalytic rate and 7 times of piezocatalytic rate. The BaTiO3/CuO heterostructure with remarkable piezo-photocatalytic behavior provides a promising strategy for the development of high-efficiency catalysts for wastewater purification, and it also helps understand the coupling mechanism between piezoelectric effect and photocatalysis.
Cavity-Suppressing Electrode Integrated with Multi-Quantum Well Emitter: A Universal Approach Toward High-Performance Blue TADF Top Emission OLED
Authors: Jang Il Gyu , Murugadoss Vignesh , Park Tae Hoon , Son Kyung Rock , Lee Ho Jin , Ren WanQi , Yu Min Ji , Kim Tae Geun 
Published: February 2022

AbstractA novel device structure for thermally activated delayed fluorescence (TADF) top emission organic light-emitting diodes (TEOLEDs) that improves the viewing angle characteristics and reduces the efficiency roll-off is presented. Furthermore, we describe the design and fabrication of a cavity-suppressing electrode (CSE), Ag (12 nm)/WO3 (65 nm)/Ag (12 nm) that can be used as a transparent cathode. While the TADF-TEOLED fabricated using the CSE exhibits higher external quantum efficiency (EQE) and improved angular dependency than the device fabricated using the microcavity-based Ag electrode, it suffers from low color purity and severe efficiency roll-off. These drawbacks can be reduced by using an optimized multi-quantum well emissive layer (MQW EML). The CSE-based TADF-TEOLED with an MQW EML fabricated herein exhibits a high EQE (18.05%), high color purity (full width at half maximum ~ 59 nm), reduced efficiency roll-off (~ 46% at 1000 cd m−2), and low angular dependence. These improvements can be attributed to the synergistic effect of the CSE and MQW EML. An optimized transparent CSE improves charge injection and light outcoupling with low angular dependence, and the MQW EML effectively confines charges and excitons, thereby improving the color purity and EQE significantly. The proposed approach facilitates the optimization of multiple output characteristics of TEOLEDs for future display applications.
Identifying large-scale interaction atlases using probabilistic graphs and external knowledge
Authors: Chanumolu Sree K. , Otu Hasan H. 
Published: February 2022

Abstract

Introduction:
Reconstruction of gene interaction networks from experimental data provides a deep understanding of the underlying biological mechanisms. The noisy nature of the data and the large size of the network make this a very challenging task. Complex approaches handle the stochastic nature of the data but can only do this for small networks; simpler, linear models generate large networks but with less reliability.

Methods:
We propose a divide-and-conquer approach using probabilistic graph representations and external knowledge. We cluster the experimental data and learn an interaction network for each cluster, which are merged using the interaction network for the representative genes selected for each cluster.

Results:
We generated an interaction atlas for 337 human pathways yielding a network of 11,454 genes with 17,777 edges. Simulated gene expression data from this atlas formed the basis for reconstruction. Based on the area under the curve of the precision-recall curve, the proposed approach outperformed the baseline (random classifier) by ∼15-fold and conventional methods by ∼5–17-fold. The performance of the proposed workflow is significantly linked to the accuracy of the clustering step that tries to identify the modularity of the underlying biological mechanisms.

Conclusions:
We provide an interaction atlas generation workflow optimizing the algorithm/parameter selection. The proposed approach integrates external knowledge in the reconstruction of the interactome using probabilistic graphs. Network characterization and understanding long-range effects in interaction atlases provide means for comparative analysis with implications in biomarker discovery and therapeutic approaches. The proposed workflow is freely available at http://otulab.unl.edu/atlas.