bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimation of safety factor in landslide through image processing with recurrence plot and oversampling techniques
Authors: Min Dae-Hong , Yoon Hyung-Koo 
Published: May 2023

Abstract
The convolutional neural network (CNN) algorithm as one of image processing techniques has been applied to reveal whether the safety factor is higher or lower than the standard value. However, the existing methods have limitations in quantitatively revealing the safety factor across various ranges. The objective of this study is to quantitatively assess the safety factor with the CNN algorithm through an oversampling technique for reflecting various ranges of the safety factor. Eight geotechnical parameters are selected as independent variables and are obtained through experimental studies. The numeric data in each grid are converted into images using the Recurrence Plot (RP) algorithm to carry out the CNN algorithm. The converted images are matched with the safety factor as the true value calculated by the infinite slope stability model, and the synthetic minority oversampling technique (SMOTE) is applied to solve imbalances in the data, which is the case for a relatively small amount of data in each safety factor. The constructed image data are trained and tested using the ResNet 50 algorithm, and the data oversampled by SMOTE showed higher accuracy than the imbalanced data. This study demonstrated that the suggested strategy may be used as an alternative method to find various ranges of safety factors using numeric data with an oversampling technique.
Immune Cross Entropy Algorithm for Robust Berth Allocation and Quay Crane Assignment Problem
Authors: Dai Hongwei , Ma Jinhui , Yang Yu , He Hao , Sun Jing , Jia Dongbao 
Published: May 2023

Abstract
Considering different kinds of uncertainties such as late arrival of ships and extended handling time in the actual operation of container terminal, a robust berth allocation and quay crane assignment problem (BACAP) model which aims at minimizing the total stay time of all vessels is proposed. The buffer time between vessels based on weighted slack time can effectively absorb the impact of uncertainty on initial scheduling. Then an immune cross entropy algorithm (ICEA) is proposed to solve the problem. Based on the construction of discrete probability matrix, some solutions are generated and elite solutions are selected. Furthermore, according to the characteristics of BACAP, some immune maturation operators are utilized to balance the local search and global optimization ability of the algorithm. Finally, a robust berth allocation and quay crane scheduling plan in uncertain environment is generated. Computational experiment verifies the feasibility of the model and the effectiveness of the proposed algorithm.
Phytohormone additions match explants stimulating adventitious shoot induction in Cyclocarya paliurus (Batal.) Iljinskaja
Authors: Cheng Yuan , Cui Yichan , Shang Xulan , Xiang Fu Xiang 
Published: May 2023

Abstract
As an endemic medicinal woody plant in China, Cyclocarya paliurus (Batal.) Iljinskajais is being extensively planted for leaf-use. Operational system of tissue culture mainly depends on explants from short growth season. To extend sampling season, an efficient tissue culture system for nodal stem segments across annual growth seasons has been established in C. paliurus. Explants collected at three stages (March-May, stage I; June-August stage Ⅱ; September-November, stage Ⅲ) were cultured in MS, supplemented with gradient concentrations of 6-benzylademine (BA) (2.0–12.0 mg·L− 1) for shoot induction. The relationships of phytohomones between endogenesis in explants and exogenous addition in medium were also analyzed by using artificial neural networks (ANN) for the optimal concentration of 6-BA addition. The optimal adventitious shoot induction happened on MS supplemented 6-BA with 4.0 mg·L− 1 for stage Ⅰ, 6.0 mg·L− 1 for stage Ⅱ, and 12.0 mg·L− 1 for stage Ⅲ; their induction ratios reached 92.9%, 96.67% and 82.33%, respectively. Regardless of growth stage, adventitious buds occurred on the 20th day when the content of ABA at the bottom versus IAA on the peak. Moreover, high ABA content in explants of C. paliurus (128.49-325.79 ng/g FW) is considered as the main inhibitor for induction. A model constructed by ANN based on a set of validation data, displayed good agreement with observed results. Also, the combination addition (0.5 mg·L− 1 6-BA + 1.5 mg·L− 1 IAB + 0.03 mg·L− 1 TIBA) to MS for shoot multiplication attained 3.20 of multiplication coefficient. Although rooting induction achieved to 66.67% when supplemented 11.0 mg·L− 1 IBA to WPM, no plantlets survived after acclimatization. We speculate that the high 6-BA content for adventitious buds induction could be responsible for lower rooting rate and transplanting failure. Therefore, more efforts should be done to build a feasible tissue culture system in C. paliurus.
Osteoarticular changes in Refsum’s disease: a case report
Authors: Bednarek Marcin , Belka Maciej , Grudniewska Małgorzata , Pawliński Łukasz , Gądek Artur , Kieć-Wilk Beata 
Published: May 2023

AbstractBackgroundRefsum’s Disease (RD) is a rare and complex disease of lipid metabolism with the domination of neurological symptoms and impacting the metabolism of phytanic acid. The metabolic block, inherited in an autosomal recessive manner, affects the growth and functioning of the myelin sheath around nerve cells. Approximately 35% of RD patients have changes in their osteoarticular system. The most common anomalies are shortening and deformity of many tubular bones in the hands and feet. Over time, chronic, progressive, symmetrical, and mixed motor-sensory polyneuropathy develops, initially involving the lower limbs, and later, the upper limbs. It leads to muscle weakness and walking disorders. Prevalence rates are not known but RD may be under-diagnosed.Case presentationWe report an interesting case of a 49-year-old woman with symmetrical bone anomaly in the feet and hands, diagnosed with RD. Though she had the changes typical of RD since childhood, she was not diagnosed until her 40s, once serious complications of RD appeared.ConclusionsEarly diagnosis of RD is essential for implementation of effective treatment to significantly improve quality of life of the patient. We should always consider running expanded diagnostics, including genetic tests, with patients presenting with bone changes typical for RD. The interdisciplinary approach from different specialists is the key to reduce symptoms and complications. The factors influencing the development of bone, joint, and muscle anomalies in RD are still unknown.
Acclimation of electroactive biofilms under different operating conditions : Comprehensive analysis from architecture, composition, and metabolic activity
Authors: Ma Han , Dong Xing , Yan Yi , Shi Ke , Wang Hao , Lu Haoyun , Xue Jianliang , Qiao Yanlu , Cheng Dongle , Jiang Qing 
Published: May 2023

Abstract
Electroactive biofilms (EABs) have aroused wide concern in waste treatment due to their unique capability of extracellular electron transfer with solid materials. The combined effect of different operating conditions on the formation, microbial architecture, composition, and metabolic activity of EABs are still unknown. In this study, the impact of three different factors (anode electrode, substrate concentration and resistance) on the acclimation and performance of EABs was investigated. The results showed that the shortest start-up time of 127.3 h and highest power density of 0.84 W m− 2 were obtained with carbon brush as electrode, low concentration of substrate (1.0 g L− 1) and 1000 Ω external resistance (denoted as N1). The EABs under N1 condition also represented strongest redox capacity, the lowest internal resistance, and close arrangement of bacteria. Moreover, the EABs cultured under different conditions both showed similar results, with direct electron transfer (DET) dominated from EABs to anode. Microbial community compositions indicated that EABs under N1 condition with lowest diversity and highest abundance of electroactive bacteria (46.68%). Higher substrate concentration (3.0 g L− 1) promoted the proliferation of some other bacteria without electroactivity, which was adverse to EABs. The metabolic analysis showed the difference of genes related to electron transfer (Cytochromes C and pili) and biofilm formation (xap) of EABs under different conditions, which further demonstrated the higher electroactivity of EABs under N1. These results provided a comprehensive understanding of the effect of different operating conditions on EABs including biofilm formation and electrochemical activity.
COVPRIG robustly predicts the overall survival of IDH wild-type glioblastoma and highlights METTL1+ neural-progenitor-like tumor cell in driving unfavorable outcome
Authors: ji hang , Wang Fang , Liu Zhihui , Li Yue , Sun Haogeng , Xiao Anqi , Zhang Huanxin , You Chao , Hu Shaoshan , Liu Yi 
Published: May 2023

Abstract
Background Accurately predicting the outcome of isocitrate dehydrogenase (IDH) wild-type glioblastoma (GBM) remains hitherto challenging. This study aims to Construct and Validate a Robust Prognostic Model for IDH wild-type GBM (COVPRIG) for the prediction of overall survival using a novel metric, gene-gene (G×G) interaction, and explore molecular and cellular underpinnings.
Methods Univariate and multivariate Cox regression of four independent trans-ethnic cohorts containing 800 samples. Prediction efficacy was comprehensively evaluated and compared with previous models by a systematic literature review. The molecular underpinnings of COVPRIG were elucidated by integrated analysis of several bulk-tumor and single-cell expression profiles.
Results Using a Cox-ph model-based method, six of the 93,961 G×G interactions were screened to form an optimal combination which, together with age, comprised the COVPRIG model. COVPRIG was designed for RNA-seq and microarray, respectively, and effectively identified patients at high risk of mortality. The predictive performance of COVPRIG was satisfactory, with aera under the curve (AUC) ranging from 0.56 (CGGA693, RNA-seq, 6-month survival) to 0.79 (TCGA RNAseq, 18-month survival), which can be further validated by decision curves. Nomograms were constructed for individual risk prediction for RNA-seq and microarray-based cohorts, respectively. Besides, the prognostic significance of COVPRIG was also validated in GBM including the IDH mutant samples. Notably, COVPRIG was comprehensively evaluated and externally validated, and a systemic review disclosed that COVPRIG outperformed current validated models with an integrated discrimination improvement (IDI) of 6~16% when calibrating to the same condition. Moreover, integrative bioinformatics analysis predicted an essential role of METTL1+ neural-progenitor-like (NPC-like) malignant cell in driving unfavorable outcome.
Conclusion This study provided a powerful tool for the outcome prediction for IDH wild-type GBM, and preliminary molecular underpinnings for future research.
Prediction of Recently Occurred Soil Erosion by Integrating Revised Universal Soil Loss Equation (RUSLE) with Geo-Spatial Techniques- A Case Study on Pettimudi Hills, Kerala-India
Authors: Natarajan Surendar 
Published: May 2023

Abstract

Soil erosion is the major cause for loss of soil fertility in many parts of the world. The conversion of forested areas into settlements and tea plantations has made Pettimudi hills in Iddukki district of Kerala prone to soil erosion. To compute the extent of soil erosion in the selected study area, the Revised Universal Soil Loss Equation (RUSLE) method is adopted. The present study analyses the soil erosion for the years (2017 to 2021) by varying the Land Use Land Cover (LULC) classes with constant R-factor (rainfall and runoff factor) and LS-factor (length-slope factor). The LULC for Pettimudi hills are classified into three categories, namely settlement, dense vegetation, and water bodies. An extreme rainfall event that took place on 6th of August 2020 resulted in drastic extensive soil erosion in the study area. The Supervised Classification method along with Maximum Likelihood Estimation techniques are used for LULC classification. The C-factor (Cover and management factor) ranges from 0 to 0.1 for the years 2017 to 2021 and is based upon the LULC classes identified in the study area. The conversion of vast areas of forest land into settlements and tea plantations decreases the soil organic matter and hydraulic conductivity of the soil which in turn increases the K-factor (soil erodibility factor), as found in the study area. The gathered results shows that the maximum erosion is seen in southern and north-western parts of the study area. The extent of soil erosion is seen to have increased from 0.25 tonnes/ha to 2.06 tonnes/ha in the time period of 2017 to 2021. It is observed that the 56 % of increase in the soil erosion during the study period is mainly due to LULC changes as well as with the extreme rainfall conditions in the area.
GWAS and genomic selection for marker-assisted development of sucrose enriched soybean cultivars
Authors: Riaz Awais , Raza Qasim , Kumar Anuj , Dean Derek , Chiwina Kenani , Phiri Theresa Makawa , Thomas Julie , Shi Ainong 
Published: May 2023

Abstract
Sucrose concentration in soy-derived foods is becoming a seminal trait for the production of food-grade soybeans. However, limited scientific knowledge is reported on this increasingly important breeding objective. In this study, 473 genetically diverse soybean germplasm accessions and 8,477 high-quality single nucleotide polymorphisms (SNPs) markers were utilized to pinpoint genomic regions associated with seed sucrose contents through a genome-wide association study (GWAS). A total of 75 significant SNPs (LOD ≥ 6.0) were identified across GLM, FarmCPU and BLINK models, including four stable and novel SNPs (Gm03_45385087_ss715586641, Gm06_10919443_ss715592728, Gm09_45335932_ss715604570 and Gm14_10470463_ss715617454). Gene mining near 20 kb flanking genomic regions of four stable SNPs identified 23 candidate genes with the majority of them highly expressed in soybean seeds and pod shells. A sugar transporter encoding major facilitator superfamily gene (Glyma.06G132500) showing the highest expression in pod shells was also identified. Moreover, selection accuracy, efficiency and favorable alleles of 75 significantly associated SNPs were estimated for their utilization in soybean breeding programs. Furthermore, genomic predictions with three different scenarios revealed better feasibility of GWAS-derived SNPs for selection and improvement of seed sucrose concentration. These results could facilitate plant breeders in marker-assisted breeding and genomic selection of sucrose-enriched food-grade soybean cultivars for the global soy-food industry.
Optogenetic modulation of mammalian cell apoptosis through the utilization of Arabidopsis cryptochrome 2
Authors: Mo Weiliang , Su Shengzhong , Shang Ruige , Yang Liang , Wu Chengfeng , Yang Zhenming , Wu Liuming , Liu Yibo , He Yun , Zhang Ruipeng , Zuo Zecheng 
Published: May 2023

Abstract
Apoptosis, or programmed cell death, is a mechanism which occurs as the cells undergo death to control cell proliferation. Precise modulation of apoptosis offers potential for developing targeted therapies, such as inducing cancer cell death or sensitizing cells to established extracellular agents. Caspase-8 is a critical apoptosis-inducing factor that initiates the death receptor-mediated apoptosis pathway. Moreover, it serves as a molecular switch for necroptosis and pyroptosis, distinguishing it from other members of the caspase family.In this study, we developed an optogenetic approach to rapidly modulate the activation of caspase-8 in response to blue light. The core component of our optogenetic tool is based on the PHR domain of Arabidopsis thaliana cryptochrome 2, which self-oligomerizes in response to blue light. After exposure to blue light, the abundance of the precursor protein PHR-Caspase8 decreased, while the activated forms of caspase8 (P18) and caspase3 accumulated. The proteins GFP-PHR-caspase8/Flag-CIB1N-caspase8 were cleaved in a blue light-dependent manner and interacted more strongly in co-immunoprecipitation assays. Opto-Casp8-V2 exhibited significantly more efficient self-cleavage and consumption than Opto-Casp8-V1 under blue light, and was found to promote cell apoptosis more strongly. Both Opto-Casp8-V1 and Opto-Casp8-V2 induced the shrinkage of numerous nuclei, leading to the formation of apoptotic bodies and ultimately promoting cell death. Our optogenetic tool enables precise modulation of Caspase-8 activity, inducing cellular apoptosis. Additionally, through blue light control, it regulates the activation of the inflammasome and induction of pyroptosis in cases where apoptosis and necroptosis mechanisms are compromised.We believe that our optogenetic tools can modulate Caspase-8-mediated signaling pathways to customize immune responses against pathogens and facilitate the switching of diverse modes of cell death.
Mechanochemical and Mechanobiological Recycling of Postconsumer Polyethylene terephthalate (PET) Plastics under Microwave irradiation: A comparative study.
Authors: Attallah Olivia A. , Taxeidis George , Chee Bor Shin , Topakas Evangelos , Fournet Margaret Brennan 
Published: May 2023

Abstract
Exploring new solutions to improve the environmentally friendly degradation of fossil based postconsumer plastic waste is key in the development of effective techniques to increase the efficiency of plastics degradation while using mild, green depolymerization conditions. In this context, we introduce a novel, ultrafast mechanical pretreatment for postconsumer (PC) polyethylene terephthalate (PET) plastics that is based on a dissolution/reprecipitation approach under microwave (MW) irradiation. Fourier transform infra-red (FTIR) and Differential scanning colorimetry (DSC) analyses indicates a significant increase, up to 3.78 in the carbonyl index and a 2-fold decrease in crystallinity index of the pretreated PC PET sample when compared to the untreated one. Degradation efficiency of both untreated and pretreated PC PET was evaluated using enzymatic and MW assisted chemical degradation techniques. Results show that following MW assisted hydrolytic depolymerization, pretreated PC PET conversion rate of 95% and terephthalic acid (TPA) monomer yield of 87.4% were obtained and were significantly higher than that of untreated PC PET. While the proposed pretreatment approach did not show a significant improvement on the enzymatic degradation of PC PET, it did result in a 1.2-fold increase in the pretreated PC PET conversion rate, yielding solely TPA as a value-added monomer. This, presents an advantage in the economic cost of the degradation process if applied on a larger scale.
Research on nonlinear dynamic characteristics of double-deck vibrating flip-flow screen
Authors: Li Sai , Liu Chusheng , He Deyi 
Published: May 2023

Abstract
The double-deck vibrating flip-flow screen is taken as the study case, and the dynamic equations, including cubic nonlinear stiffness, are established. The equation in the physical coordinates is transferred to the modal coordinates to study the nonlinear vibration characteristics of the system in resonance, which is analyzed by the multi-scale method. Then, the amplitude-frequency tuning parameter response equation is obtained. The influence of system parameters on the nonlinear system is discussed by solving the amplitude-frequency tuning parameter response equation. It is found that increasing the damping or reducing the harmonic force will suppress the system’s multiple solutions and vibration jumps. Numerical methods are adopted to verify the accuracy of the perturbed solution in both the frequency domain and time domain. Considering that the nonlinear stiffness has little influence in the slightly distant single-valued response resonance region, the displacement response of the double-deck vibrating flip-flow screen in the original physical coordinates system is obtained based on the superposition principle. The amplitude of the main screen frame is 7 mm, and the amplitude of the upper and lower floating frame is 9.4 mm and 5.6 mm, respectively. The phase between the main screen frame and the upper and lower floating frame is 180°, which realizes the stretching and slackening of the deck. This paper guides the design of double-deck vibrating flip-flow screens.
Vertical changes in the hard tissues after space closure by miniscrew sliding mechanics: a three-dimensional modality analysis
Authors: Su Hong , Zhuang Zi-meng , Han Bing , Xu Tian-min , Chen Gui 
Published: May 2023

Abstract
(1)Objectives:
To explore the vertical changes in the maxillary central incisor and the maxillary first molar and to investigate the changes in the mandibular plane angle during process space closure by miniscrew sliding mechanics.
(2) Methods:
A total of 20 adult patients were enrolled from the Department of Orthodontics of Peking University Hospital of Stomatology from 2008 to 2013. A digital dental model and craniofacial cone-beam computed tomography (CBCT) scan were taken at the beginning of the treatment(T0) and immediately after space closure(T1). Stable miniscrews were used to superimpose the maxillary digital dental models (T0 and T1), and the vertical changes in the maxillary first molar and the maxillary central incisor were measured. The changes in the mandibular plane were measured by CBCT superimposition in three dimensions.
(3) Results:
The average extrusion of the maxillary central incisor was 2.56±0.18 mm; the average intrusion of the maxillary first molar was 1.25±1.11 mm, with a distal movement of 0.97±0.99 mm; and the average mandibular plane angle decreased by 0.83±1.65°. The differences in the three indexes were statistically significant.
(4) Conclusion:
In the process of space closure with the miniscrew sliding method, the upper dentition changed significantly in both the sagittal and vertical directions. The maxillary central incisors were extruded, and the maxillary first molars were intruded. The mandibular plane was rotated slightly counterclockwise.
A New Approach to Generate Dynamical Cone of Uncertainty for Cyclone Track Forecast over North Indian Ocean
Authors: SRIVAST AKHIL , Mohapatra Mrutyunjay , Das Ananda Kumar , Nadimpalli Raghu , Dwivedi Suneet 
Published: May 2023

Abstract
The North Indian Ocean (NIO) tropical cyclones (TCs) are devastating multi-hazard disasters with associated gale wind, torrential rainfall and storm-surge which pose severe threat to humankind and responsible for huge economic loss and livelihood. Predictions of track, intensity and structure along with the track uncertainty are very important to produce forecast and warning for the populace and disaster managers. India Meteorological Department (IMD) issues operational track forecasts and associated uncertainty as a Cone of Uncertainty (CoU) based on the climatological track errors computed from past operational forecasts. Due to large variation between different TCs, instead of static, dynamic CoU (DYN-CoU) based on dynamical Ensemble Prediction Systems (EPS) is more sophisticated way to provide track uncertainty. In this study, the utility of different CoU including (i) Climatological CoU (CLM-CoU) (ii) CoU from dynamical EPS using different methods and (iii) Hybrid CoU (utilizing CLM-CoU & DYN-CoU) are analyzed with respect to various characteristics of 13 TCs formed during 2019–2020. The result suggests that the CLM-CoU is more skillful during the first 36 hours of forecast whereas DYN-CoU based on weights assigned to different members of EPS performs better during longer lead time. Basin-wise, CLM-CoU performs better over the Arabian Sea for all the forecast hours whereas in case of Bay of Bengal during first 18 hours and DYN-CoU shows better skill with lead time longer than 18 hours. For recurving TCs, CLM-CoU performs better up to 96 hour forecast lead. However, skill of DYN-CoU in case of recurving TCs is dependent on the operational and EPS track forecast performance.