bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Modified ACO with K-OPT for Restricted Covering Salesman Problems in Different Environments
Authors: Dutta Prasanta , Khan Indadul , Basuli Krishnendu , Maiti Manas Kumar 
Published: January 2022

Abstract
In this study, the ant colony optimization (ACO) algorithm is modified with the K-opt operation to solve the covering salesman problem(CSP) under one restriction in crisp and imprecise (fuzzy, rough) environments. A CSP involves two phases- the division of cities into groups with the selection of the visiting cities and searching of the Hamiltonian circuit through the visiting cities. But, none of the studies in the literature is made following the direct approach. Also, none of the studies in the literature gives attention to reduce the total travel distance of the unvisited cities from the visited city of a group. Moreover, there is no algorithm in the literature which provides the solution of a CSP with the specified coverage range $r$. Also, none has introduced any algorithm to solve CSPs in imprecise environments. Though algorithms are available to solve the Traveling Salesman Problems in the imprecise environments, the approach cannot deal with the problems involving fuzzy data with non-linear membership functions or the problems involving rough data where the rough estimation can not be done using Lebesgue measure. The well establish algorithm for any routing problem is the ACO, but not much attention has been paid to solve the CSP using ACOs. To overcome these limitations on the studies of the ACO on the CSPs, here, an algorithm is proposed for the division of groups of the set of cities depending upon the maximum number of cities in a group and the total number of groups. Then ACO is used to find the shortest/minimum-cost path of the problem by selecting only one visiting the city from each group without violating the restriction of the specified coverage range $r$ of the location of the unvisited cities. K-opt operation is applied periodically at the end of ACO operation to improve the quality of the best found solution so far by the ACO algorithm and to arrest any premature convergence. For the restricted problems paths are searched in such a manner that the total distance/travel cost of different unvisited cities of a group from the visited city of the group should not exceed a predefined upper limit. To solve the problem in an imprecise environment some approach is followed so that the tour is searched without transferring the imprecise optimisation problem into an equivalent crisp optimisation problem. Also, the simulation approaches in fuzzy and rough environments are proposed to deal with the CSPs with any type of estimation of the imprecise data set. Algorithm is tested with the standard benchmark crisp problems available in the literature. To test the algorithm in the imprecise environments, the imprecise instances are derived randomly from the standard crisp instances using a specified rule. Test results imply that the proposed algorithm is efficient enough in solving the CSPs in the crisp as well as in the imprecise environments.
Characterization and Evaluation of Novel Maglev EDM with Existing EDM
Authors: Shukla Shashank , Sisodiya Mangal Singh , Bajpai Vivek 
Published: January 2022

Abstract
At present, the machining performance of the existing EDM technology depends upon the commonly used pulsed power supply and gap control mechanism. The complexity and the higher cost of the above said vital components, reflected in the product cost. A simple electrical circuit has been applied to control the voltage and the electric magnet so that the tool electrode can levitate over the workpiece at the desired distance (electrode gap). A prototype is fabricated with the DC power supply and the maglev levitation mechanism. To evaluate novel maglev EDM technology with the existing EDM technology, experiments were conducted on Ti-6Al-4V alloy with a brass tool. The discharge waveform of maglev EDM has shown the discharge voltage and current and the absence of short-circuit at high duty factor. A predictive model is formulated by dimensional analysis based on MRR and average surface roughness. The experimental result of conventional EDM from the literature were used to prepare the model. The maglev EDM is showing higher MRR and surface roughness than the prediction. Surface morphology showed similar surfaces as formed in EDM. The specific energy analysis showed that the developed maglev EDM performs in reported data range. It is noted that the proposed technology is in its early stage and the performance is significantly comparable with the existing technology. Therefore, it is expected that the research in this area may help to develop an economically sustainable alternative to the existing costly and complex EDM technology.
Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography
Authors: Li Yue , Wei Ye , Wang Zhangwei , Colnaghi Timoteo , Han Liuliu , Rao Ziyuan , Zhou Xuyang , Huber Liam , Dsouza Raynol , Neugebauer Jörg , Marek Andreas , Rampp Markus , Bauer Stefan , Li Hongxiang , Baker Ian , Stephenson Leigh , Gault Baptiste 
Published: January 2022

Abstract
Chemical short-range order (CSRO) refers to atoms of specific elements self-organising within a disordered crystalline matrix. These particular atomic neighbourhoods can modify the mechanical and functional performances of materials 1-6. CSRO is typically characterized indirectly, using volume-averaged (e.g. X-ray/neutron scattering) 2,7,8 or through projection (i.e. two-dimensional) microscopy techniques 5,6,9,10 that fail to capture the complex, three-dimensional atomistic architectures. Quantitative assessment of CSRO and concrete structure-property relationships remain unachievable. Here, we present a machine-learning enhanced approach to break the inherent resolution limits of atom probe tomography to reveal three-dimensional analytical imaging of the size and morphology of multiple CSRO. We showcase our approach by addressing a long-standing question encountered in a body-centred-cubic Fe-18Al (at.%) solid solution alloy that sees anomalous property changes upon heat treatment 2. After validating our method against artificial data for ground truth, we unearth non-statistical B2-CSRO (FeAl) instead of the generally-expected D03-CSRO (Fe3Al) 11,12. We propose quantitative correlations among annealing temperature, CSRO, and the nano-hardness and electrical resistivity, supported by atomistic simulations. The proposed strategy can be generally employed to investigate short/medium/long-range ordering phenomena in a vast array of materials and help design future high-performance materials.
Role of Combination Treatment of Aspirin and Zinc in DMH-DSS Induced Colon Inflammation, Oxidative Stress and Tumor Progression in Male BALB/C Mice
Authors: Babu Singothu Siva Nagendra , Singla Shivani , Jena G. B. 
Published: January 2022

Abstract
Colitis-associated colorectal cancer serves as a prototype of inflammation-associated cancers which is linked with repeated cycles of inflammation and DNA repair deficits. Several preclinical and clinical data reported that aspirin has chemo preventive effect in colorectal cancer and is associated with dose dependent side effects. Further, it has been reported that zinc supplementation improves the quality of life in patients undergoing chemotherapy by alteration of colonic cancer cell gene expression. However, explication of the detailed molecular mechanisms involved in combined administration of aspirin and zinc mediated protection against the colitis associated colorectal cancer deserves further investigation. For the induction of colitis associated colorectal cancer, male BALB/c mice were administered 1, 2-dimethylhydrazine dihydrochloride (DMH) 20 mg/kg/bw thrice, before the initiation of every DSS cycle (3%w/v in drinking water). One week after the initiation of DSS treatment, aspirin (40 mg/kg; p.o.) and zinc in the form of zinc sulphate (3 mg/kg; p.o.) was administered for 8 weeks. Combination of aspirin and zinc as intervention significantly ameliorated DAI score, myeloperoxidase activity, histological score, apoptotic cells and protein expression of various inflammatory markers including nuclear factor kappa light chain enhancer of activated B cells (NFκBp65), cycloxygenase -2 (COX-2), interleukin-6 (IL-6); proliferation markers such as proliferating cell nuclear antigen (PCNA), signal transducer and activator of transcription 3 (STAT3) expression significantly decreased and antioxidant enzymes nuclear factor erythroid 2–related factor 2 (Nrf-2), metallothionein, catalase and superoxide dismutase (SOD) significantly increased as evaluated by immunohistochemistry and western blot analysis.
A systematic review of blue carbon as an approach for Eco-DRR: current gap and future research
Authors: Ogunwumi Taiwo , Armstrong Margarethe-Elizabeth Graves 
Published: January 2022

Abstract
Blue carbon ecosystems (BCEs), such as wetlands, marshes, mangroves, and seagrasses, warrant increased attention for their abilities to protect life, property, and environments locally and globally. BCEs serve as both buffers reducing coastal hazards and carbon sinks storing ‘blue’ carbon in aquatic plant life and soils. While research exists on BCE functions and benefits, their global diversity necessitates a collection of localized research investigating the unique dynamics and histories of distinct BCEs. The historic degradation of coastal ecosystems proves the need for purposeful, well-informed, sustainable ecosystem management to conserve and restore BCEs. We conducted a systematic literature review to understand the existing body of research on synergies between BCEs and ecosystem-based disaster risk reduction (Eco-DRR). We investigated how prior research employed various research methods, discussed key aspects of sustainable land management, and considered geographic locations and scales. We discovered localized case studies have incredible insights on the efficacy of BCEs along with context-specific strategies for sustainable ecosystem management. However, as these case studies are not plentiful and are concentrated in North America and Asia, they do not account for the diversity of BCEs. We suggest increased support for localized research on the benefits and implementation of BCEs as Eco-DRR measures.
Ecological Impacts of the African Catfish Clarias Gariepinus at Environmental Protection Area in Southeastern Brazil
Authors: Dumith Michelle Torres , Santos Alejandra Filippo Gonzalez Neves dos 
Published: January 2022

Abstract
The African catfish (Clarias gariepinus) is considered one of the most important species of catfish for aquaculture. It has a great capacity to withstand several stress factors, such as harsh abiotic conditions, in addition to wide feeding flexibility. However, the species was detected in the Guapimirim Environmental Protection Area in southeastern Brazil, threatening native fish diversity and ecosystem functioning of this ecosystem. In 2018, during the dry and wet seasons, samples of the fish community were collected at thirty-two sites of the Guapi-Macacu River, in addition to abiotic variables (salinity, pH, temperature, turbidity, dissolved oxygen, and transparency) to diagnose which factors influence the distribution of the alien species along the river. Multivariate analyses indicated that African catfish dominate the region in the buffer zone to the Environmental protection area, benefiting from higher levels of dissolved oxygen and temperature. However, C. gariepinus does not dominate yet the most protected area of Guapimirim, where the highest percentage of native fish species inhabit. Climate change associated with changes in abiotic factors might significantly contribute to the dominance of the invasive alien species in this protected area, which might colonize the entire river.
Activation of the Brain During Motor Imagination Task with Auditory Stimulation
Authors: Li Long , Zhang Yanlong , Fan Liming , Zhao Jie , Guo Jing , Li Chenxi , Liu Tian , Wang Jue 
Published: January 2022

Abstract
Background: Auditory feedback is one of the most important feedback in cognitive process. It plays an important guiding role in cognitive motor process. However, previous studies on auditory stimuli mainly focused on the cognitive effects of auditory stimuli on cortex, while the role of auditory feedback stimuli in motor imagery tasks is still unclear.Methods: 18 healthy subjects were recruited to complete the motor imagination task stimulated by meaningful words and meaningless words. In order to explore the role of auditory stimuli in motor imagination tasks, we studied EEG power spectrum, frontal parietal mismatch negativity (MMN) and inter test phase-locked consistency (ITPC). one-way Analysis of Variance (ANOVA) and Least Significant Difference (LSD) correction were used to test the differences between the two experimental groups and the differences of different bands in each experimental group.Results: EEG power spectrum analysis showed that the activity of contralateral motor cortex was significantly increased under the stimulation of meaningful words, and the amplitude of mismatch negative wave was also significantly increased. ITPC is mainly concentrated in μ, α and γ bands in the process of motor imagery task guided by the auditory stimulus of meaningful words, while it is mainly concentrated in the β band under the meaningless words stimulation.Conclusions: This results may be due to the influence of auditory cognitive process on motor imagery. We speculate that there may be a more complex mechanism for the effect of auditory stimulation on the inter test phase lock consistency. When the stimulus sound has the corresponding meaning to the motor action, the parietal motor cortex may be more affected by the prefrontal cognitive cortex, thus changing its normal response mode. This mode change is caused by the joint action of motor imagination, cognitive and auditory stimuli. This study provides a new insight into the neural mechanism of motor imagery task guided by auditory stimuli, and provides more information on the activity characteristics of the brain network in motor imagery task by cognitive auditory feedback.
Using ZnCo2O4 Nanoparticles as The Hole Transport Layer to Improve Long-Term Stability of Perovskite Solar Cells
Authors: Jheng Bo-Rong , Chiu Pei-Ting , Yang Sheng-Hsiung , Tong Yung-Liang 
Published: January 2022

Abstract
Inorganic metal oxides with the merits of high carrier transport capability, low cost and superior chemical stability have largely served as the hole transport layer (HTL) in perovskite solar cells (PSCs) in recent years. Among them, ternary metal oxides gradually attract attention because of the wide tenability of the two inequivalent cations in the lattice sites that offer interesting physicochemical perperties. In this work, ZnCo2O4 nanoparticles (NPs) were prepared by a chemical precipitation method and served as the HTL in inverted PSCs. The device based on the ZnCo2O4 NPs HTL showed better efficiency of 12.31% and negligible hysteresis compared with the one using PEDOT:PSS film as the HTL. Moreover, the device sustained 85% of its initial efficiency after 240 hours storage under a halogen lamps matrix exposure with an illumination intensity of 1000 W/m2, providing a powerful strategy to design long-term stable PSCs for future production.
DEGENERATED LEMMA (DEL) Is a New Allele of OsRDR6 That Regulates Lemma Development and Affects Rice Grain Yield
Authors: You Jing , Duan Qiannan , Zhang Jun , Shen Wenqiang , Zhou Yue , Xiao Wenwen , Ye Li , Zhang Xinfang , Xiang Yan , He Zhifeng , Song Shunyi , He Guanghua , Li Yunfeng , Zhang Ting 
Published: January 2022

Abstract
The lemma and palea are floral organ structures unique to grasses, and their development affects grain size. However, information on the molecular mechanism of lemma development is limited. In this study, we investigated a rice spikelet mutant, degenerated lemma (del), which developed florets with a slightly degenerated or rod-like lemma. The results indicate that the mutation of the DEL gene interfered with lemma development. In addition, del also showed a significant reduction in grain length and width, seed setting rate, and 1000-grain weight, which led to a reduction in yield. The results indicate that the mutation of the DEL gene further affects rice grain yield. Map-based cloning shows a single-nucleotide substitution from T to A within Os01g0527600/DEL, causing an amino acid mutation of Leu-34 to His-34 in the del mutant. DEL is an allele of OsRDR6, encoding the RNA-dependent RNA polymerase 6, and is highly expressed in the spikelet. RT-qPCR results show that the expression of some floral organ identity genes was changed, which indicates that the DEL gene regulates lemma development by modulating the expression of these genes. The present results suggest that DEL plays an important role in lemma development and rice grain yield.
Modeling Impacts of Mining Activity-induced Landscape Change on Local Climate
Authors: Bi Hongru , chen wei , Li Jun , Guo Junting , She Changchao 
Published: January 2022

Abstract
As a major energy source, coal has been mined on an increasingly larger scale as the social economy has continuously developed, resulting in drastic land type changes. These changes in turn cause changes in the local climate and affect the local ecological environment. Therefore, for coal cities, mining activities are an important factor influencing the local climate, and clarifying the impact of mining activities on the ecological environment is important for guiding regional development. In this paper, the impact of land use/cover changes (LUCCs) on local temperature in the spring and summer seasons from 1980 to 2018 was simulated using the Weather Research and Forecasting (WRF) model with Xilinhot city as the study area, and the regional distribution of local surface energy was analyzed in conjunction with the ground-air energy transfer process. The results show that the grassland area in Xilinhot remained above 85% from 1980 to 2018, so mining activities had a small impact on the average temperature of the whole region. However, in the mining area, the warming effect caused by mining activities was more obvious, with an average temperature increase of 0.822 K. Among other land transformation types, the conversion to water bodies had a very obvious cooling effect, lowering the temperature by an average of 2.405 K. By comparing the latent heat flux (LH), sensible heat flux (SH) and ground heat flux (GRD) under different land use types, it was found that in 2018, the LH decreased by 0.487 W/m2, the SH decreased by 0.616 W/m2 and the GRD decreased by 0.753 W/m2. The conversion to built-up urban land caused a significant decrease in the LH in the corresponding area, allowing more energy to be used to increase SH values, which resulted in significantly higher urban temperatures than in other areas.
Different Colour Predictions of Facial Preference by Caucasian and Chinese Observers
Authors: Lu Yan , Xiao Kaida , Yang Jie , Pointer Michael , Li Changjun , Wuerger Sophie 
Published: January 2022

Abstract
Facial colour characteristics convey vital personal information and influence social interactions and mate choices as contributing factors to perceived beauty, health, and age. How various colour characteristics would affect facial preference and whether there is a cultural difference are not fully understood. Here, we provide a useful and repeatable methodology for skin colour research based on a realistic skin model to investigate the effect of various facial colour characteristics on facial preference and compare the role of colour predictors in Caucasian (CA) and Chinese (CN) populations. Our results show that, although the averaged skin colour of facial areas plays a limited role, together with colour variation and contrast, there are stronger links between colour and facial preference than previously revealed. We also find large cultural differences in facial colour perceptions. Interestingly, Chinese observers tend to rely more heavily on colour cues to judge facial preference than Caucasian observers.
Optimizing Textile Dyeing Wastewater Irrigation through Physiochemical Attributes of Tomato, Plant Nutrient Use Efficiency and Pollution Load Index of Irrigated Soil
Authors: Hassan Jahidul , Rajib Md. Mijanur Rahman , Akter Masuma , Khan Md.Noor E Azam , Khandakar Shahjalal , Khalid Farhan , Rahman G. K. M. Mustafizur 
Published: January 2022

Abstract
This experiment considers the seven different stages of textile dyeing effluents on tomato crop production in order to diminish the excess effluent treatment plant (ETP) cost and farmers net input cost. Seven different stages waste water (WW) with ground water (control) were collected and analyzed for physiochemical as well as heavy metals properties. T8 (mixed effluent) crossed the limit of agricultural standard for almost all physiological parameters such as TDS, TSS, EC, BOD, COD affording the highest value. T8 also delivered the highest cl- and heavy metals like Cd, Ni, Cr followed by T4 (2nd wash after bath drain) < T7 (Fixing treatment water). As a consequence, these provided comparatively higher enrichment factor (EF), pollution load index (PLI) and sodium absorption ratio (SAR) to transform fresh soil into “severe” and “slightly to moderate” saline. Correlation matrix demonstrated that EF and PLI of heavy metals (except Cd, Ni) were negatively related to yield, while positively related to SAR and fruit abortion. Although T6 (2nd wash after soaping) performed better in respect to growth, yield, yield attributes and nutrient use efficiency, principal component analysis (PCA) expressed that T2 (2nd wash after scouring and bleaching) and T3 (enzyme treated water) also belong to T6 and T1 group (ground water). Therefore, T2, T3 and T6 could be used to vegetable crop production up to some extent and to reduce ETP and agricultural input cost.
Assessment of Functional Food Dioscorea Japonica Paste As A Thickened Liquid For Elderly With Dysphagia
Authors: Konoike Yuka , Tsukayama Izumi , Oji Mei , Kawakami Takayo , Ishii Kayoko , Suzuki-Yamamoto Toshiko 
Published: January 2022

Abstract
Background: In the elderly, reduced mastication and swallowing functions result in malnutrition and deterioration in the quality of life. As individuals age in the society, the novel concept of dysphagia diet is essential in order to prevent lifestyle and chronic diseases and maintain nutrition intake. Recently, we reported that Dioscorea japonica, a wild yam, has preventive effects on chronic inflammation via the inhibition of proinflammatory lipid mediator synthesis. The paste of Dioscorea japonica showed conformable physical properties as a thickened liquid for patients with dysphagia in rheological analysis. In the present study, we focused on the unique physical properties of Dioscorea japonica paste and evaluated its stability and usefulness as a thickened liquid compared with commercially available thickened liquids. Methods: The paste prepared using a uniformly freeze-dried Dioscorea japonica powder could suitably modify the viscosity by altering the blending amount. Viscosities of the Dioscorea japonica paste, xanthan gum, and commercially available thickened liquids were measured using a cone and plate viscometer after 1 min by employing the following setting: temperature of 20°C and shear rate of 50 s−1. The effect of changes in temperature and pH, and addition of NaCl and α-amylase, on viscosity was compared among the thickened liquids. Results: Compared with the other commercially available agents, the Dioscorea japonica paste was stable in terms of viscosity on the addition of NaCl, and no change was observed on the addition of α-amylase as similar as the others. Although the Dioscorea japonica paste was relatively stable in terms of viscosity with change in pH, it was slightly unstable with change in temperature. Conclusion: The findings of this study indicate that the Dioscorea japonica paste is useful as a novel type of thickened liquid for patients with dysphagia.