bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of cutting depth during sugarcane harvest on root characteristics and yield
Authors: Zhang Yue-bin , Yang Shao-lin , Deng Jun , Li Ru-dan , Fan Xian , Dao Jing-mei , Quan Yi-ji , Bukhari Syed Asad Hussain , Zeng Zhao-hai 
Published: August 2020

AbstractRatooning is an important cultivation practice in sugarcane production around the world, with underground buds on the remaining stalk acting as the source for establishment of a subsequent ratoon crop. However, the optimal depth of cutting during harvest in terms of yield and root growth remains unknown. We carried out a two-year field study to determine the effects of three cutting depths (0, 5 and 10 cm below the surface) ratoon cane root and yield. Results showed that cutting to a depth of 5 cm increased the root fresh weight and root volume by 32-40% and 49-85%, respectively, compared to cutting depths of 0 and 10 cm. Remarkably, cutting to a depth of 5 cm also had a significant effect on the development of fine roots, which is closely linked to cane yield. The effect was particularly noticeable in terms of two root traits, root volume and the surface area of roots with a diameter of 1.0-2.0mm, and root length and the number of root tips in roots with a diameter of 0-0.5mm. As a result, a cutting depth of 5 cm below the surface increased cane yield by 35 and 25% compared to depths of 0 and 10 cm below the surface, respectively. Overall, these findings suggest that a cutting depth of 5 cm is optimal in terms of sugarcane yield, largely due to the enhanced effect on root traits, especially the development of fine roots. These findings will help optimize sugarcane ratoon management and improve the ratoon cycle.
Scaling laws of graphs of 3D protein structures
Authors: Pražnikar Jure 
Published: August 2020

AbstractThe application of graph theory in structural biology offers an alternative means of studying 3D models of large macromolecules, such as proteins. However, basic structural parameters still play an important role in the description of macromolecules. For example, the radius of gyration, which scales with exponent ~0.4, provides quantitative information about the compactness of the protein structure. In this study, we combine two proven methods, the graph-theoretical and the fundamental scaling laws, to study 3D protein models.This study shows that the mean node degree of the protein graphs, which scales with exponent 0.038, is scale-invariant. In addition, proteins that differ in size have a highly similar node degree distribution, which peaks at node degree 7, and additionally conforms to the same statistical properties at any scale. Linear regression analysis showed that the graph parameters (radius, diameter and mean eccentricity) can explain up to 90% of the total radius of gyration variance. Thus, the graph parameters of radius, diameter and mean eccentricity scale with the same exponent as the radius of gyration. The main advantage of graph eccentricity compared to the radius of gyration is that it can be used to analyse the distribution of the central and peripheral amino acids/nodes of the macromolecular structure. The central nodes are hydrophobic amino acids (Val, Leu, Ile, Phe), which tend to be buried, while the peripheral nodes are more hydrophilic residues (Asp, Glu, Lys). Furthermore, it has been shown that the number of central and peripheral nodes is more related to the fold of the protein than to the protein length.
The RAD51 recombinase protects mitotic chromatin in human cells
Authors: Wassing Isabel E. , Saayman Xanita , Rampazzo Lucia , Ralf Christine , Bassett Andrew , Esashi Fumiko 
Published: August 2020

AbstractThe RAD51 recombinase plays critical roles in safeguarding genome integrity, which is fundamentally important for all living cells. While interphase functions of RAD51 in repairing broken DNA and protecting stalled replication forks are well characterised, its role in mitosis remains contentious. In this study, we show that RAD51 protects under-replicated DNA in mitotic human cells and, in this way, promotes mitotic DNA synthesis (MiDAS) and successful chromosome segregation. MiDAS was globally detectable irrespective of DNA damage and was promoted byde novoRAD51 recruitment, RAD51-mediated fork protection, and RAD51 phosphorylation by the key mitotic regulator Polo-like kinase 1. Importantly, acute inhibition of RAD51-promoted MiDAS led to mitotic DNA damage, delayed anaphase onset and induced centromere fragility, revealing a mechanism that prevents the satisfaction of the spindle assembly checkpoint when chromosomal replication remains incomplete. This study hence identifies an unexpected function of RAD51 in promoting the stability of mitotic chromatin.
A new rat model of creatine transporter deficiency reveals behavioral disorder and altered brain metabolism
Authors: Duran-Trio Lara , Fernandes-Pires Gabriella , Simicic Dunja , Grosse Jocelyn , Roux Clothilde , Binz Pierre-Alain , Sandi Carmen , Cudalbu Cristina , Braissant Olivier 
Published: August 2020

ABSTRACTCreatine is an organic compound used as fast phosphate energy buffer to recycle ATP, important in tissues with high energy demand such as muscle or brain. Creatine is taken from the diet or endogenously synthetized by the enzymes AGAT and GAMT, and specifically taken up by the transporter SLC6A8. Deficit in the endogenous synthesis or in the transport leads to Cerebral Creatine Deficiency Syndromes (CCDS). CCDS are characterized by brain creatine deficiency, intellectual disability with severe speech delay, behavioral troubles such as attention deficits and/or autistic features, and epilepsy. Among CCDS, the X-linked creatine transporter deficiency (CTD) is the most prevalent with no efficient treatment so far. Different mouse models of CTD were generated by doing long deletions in theSlc6a8gene showing reduced brain creatine and cognitive deficiencies or impaired motor function. We present a new knock-in (KI) rat model of CTD holding an identical point mutation found in patients with reported lack of transporter activity. KI males showed brain creatine deficiency, increased urinary creatine/creatinine ratio, cognitive deficiency and autistic features.Slc6a8xY389CKI rat fairly enriches the spectrum of CTD models and provides new data about the pathology, being the first animal model of CTD carrying a point mutation.
The phase of Theta oscillations modulates successful memory formation at encoding
Authors: Cruzat Josephine , Torralba Mireia , Ruzzoli Manuela , Fernández Alba , Deco Gustavo , Soto-Faraco Salvador 
Published: August 2020

AbstractSeveral past studies have shown that attention and perception can depend upon the phase of ongoing neural oscillations at stimulus onset. Here, we extend this idea to the memory domain. We tested the hypothesis that ongoing fluctuations in neural activity have an impact on memory encoding using a picture paired-associates task to gauge episodic memory performance. Experiment 1 capitalized on the principle of phase reset. We tested if subsequent memory performance fluctuates rhythmically, time-locked to a reset cue presented before the to-be-remembered pairs. We found indication that behavioral performance was periodically and selectively modulated at theta frequency (∼4 Hz). In Experiment 2 we focused on prestimulus ongoing activity using scalp EEG recorded while participants performed the pair-associate task. We analyzed subsequent memory performance as a function of theta and alpha activity around the presentation of the to-be-remembered pairs. The results of the pre-registered analyses, using large electrode clusters and generic spectral ranges, returned null results of prestimulus phase-behavior correlation. However, we found that post-stimulus theta-power modulations in left frontal scalp predicted subsequent memory performance. This post-stimulus effect in theta power was used to guide a post-hoc prestimulus phase analysis, narrowed down to more precise scalp location and frequency. This analysis returned a correlation between prestimulus theta phase and subsequent memory. Altogether, these results suggest that the prestimulus theta activity at encoding has an impact on later memory performance.
dCas9 regulator to neutralize competition in CRISPRi circuits
Authors: Huang Hsin-Ho , Bellato Massimo , Qian Yili , Cárdenas Pablo , Pasotti Lorenzo , Magni Paolo , Del Vecchio Domitilla 
Published: August 2020

AbstractCRISPRi-mediated gene repression allows simultaneous control of many genes. However, despite highly specific sgRNA-promoter binding, multiple sgRNAs still interfere with one another by competing for dCas9. We created a dCas9 regulator that adjusts dCas9 concentration based on sgRNAs’ demand, mitigating competition in CRISPRi-based logic gates. The regulator’s performance is demonstrated on both single-stage and layered CRISPRi logic gates and in two commonE. colistrains. When a competitor sgRNA causes between two and ~25 fold-change in a logic gate’s input/output response without dCas9 regulator, the response is essentially unchanged when the regulator is used. The dCas9 regulator thus enables concurrent and independent operation of multiple sgRNAs, thereby supporting independent control of multiple genes.
Variants inRABL2Acausing male infertility and ciliopathy
Authors: Ding Xinbao , Fragoza Robert , Singh Priti , Zhang Shu , Yu Haiyuan , Schimenti John C 
Published: August 2020

ABSTRACTPurposeApproximately 7% of men suffer from infertility worldwide and sperm abnormalities are the major cause. Though genetic defects are thought to underlie a substantial fraction of all male infertility cases, the actual molecular bases are usually undetermined. Because the consequences of most genetic variants in populations are unknown, this complicates genetic diagnosis even after genome sequencing of patients. Some patients with ciliopathies, including primary ciliary dyskinesia (PCD) and Bardet-Biedl syndrome (BBS), also suffer from infertility because sperm flagella, which share several characteristics with cilia, are also affected in these patients.MethodsTo identify infertility-causing genetic variants in human populations, we usedin silicopredictions to identify potentially deleterious SNP (single nucleotide polymorphism) alleles ofRABL2A, a gene essential for normal cilia and flagella function. Candidate variants were assayed for protein stabilityin vitro, and the destabilizing variants were modeled in mice using CRISPR/Cas9-mediated genome editing. The resulting mice were characterized phenotypically for reproductive and developmental defects.ResultsTwo of the SNP alleles,Rabl2L119F(rs80006029) andRabl2V158F(rs200121688), destabilized the protein. Mice bearing these alleles exhibited PCD- and BBS-associated disorders including male infertility, early growth retardation, excessive weight gain in adulthood, heterotaxia, pre-axial polydactyly, neural tube defects (NTD) and hydrocephalus.ConclusionOur study identified and validated pathogenicity of two variants causing ciliopathies and male infertility in human populations, and identified phenotypes not previously described for null alleles ofRabl2.
Asterix/Gtsf1 links tRNAs and piRNA silencing of retrotransposons
Authors: Ipsaro Jonathan J. , O’Brien Paul A. , Bhattacharya Shibani , Palmer Arthur G. , Joshua-Tor Leemor 
Published: August 2020

AbstractThe piRNA pathway safeguards genomic integrity by silencing transposable elements in the germline. While Piwi is the central piRNA factor, others including Asterix/Gtsf1 have also been demonstrated to be critical for effective silencing. Here, using eCLIP with a custom informatic pipeline, we show that Asterix/Gtsf1 specifically binds tRNAs in cellular contexts. We determined the structure of mouse Gtsf1 by NMR spectroscopy and identified the RNA binding interface on the protein’s first zinc finger, which was corroborated by biochemical analysis as well as cryo-EM structures of Gtsf1 in complex with co-purifying tRNA. We further show that LTR retrotransposons are preferentially de-repressed in Asterix mutants. Given the role of tRNAs as LTR retrotransposon primers, our work implicates Asterix/Gtsf1 as exploiting tRNA dependence to identify transposon transcripts and promote piRNA silencing.
The impact of online grocery shopping on stockpile behavior in Covid-19
Authors: Hao Na , Wang H. Holly , Zhou Qingjie 
Published: August 2020

PurposeThis research is to examine the impact of online channels on food stockpile behavior.Design/methodology/approachIn this study, we use bivariate probit models to empirically investigate the impact of online purchasing channels on Chinese urban consumer food hoarding behaviors with random survey samples.FindingsResults show that fresh food e-commerce channels are more likely to be associated with panic stockpile behaviors due to higher likelihood of supply shortages than offline channels with government assistance in logistic management. In contrast, community group buy, another format of e-commerce, appears superior in satisfying the consumer needs and easing the panic buying perception.Practical implicationsIt suggests that online channels may have diverse impacts on consumers' panic stockpiling behaviors during the extreme situations. Online channels need to develop efficient supply chains to be more resilient to extreme situations and the government shall recognize the increasing share of the online channels together with traditional offline channels when implementing supporting policies.Social implicationsWith ever increasing share of online channels, it is imperative in terms of policy implications to understand how would online channels affect hoarding behavior.Originality/valueWe are the first study in online shopping's impact on food stockpile during pandemics using a random sample. Although food stockpile behavior at times of emergency have been investigated in many literature, there are no empirical studies on the impact of online channels on stockpile behaviors under extreme situations. Unlike disasters that immediately impact every entity in supply chains covering producers, vendors, distribution centers and retailers, pandemics did not render supply chains affected immediately, but rather increase consumers' willingness to shop online to avoid virus. Thus, Covid-19 provides a natural experiment to investigate the online channels' impact on stockpile behavior.
Paradoxes in supply chains: a conceptual framework for packed products
Authors: Pålsson Henrik , Sandberg Erik 
Published: August 2020

PurposeGrounded in paradox theory, and with the objective of structuring and extending existing knowledge of conflicts of interest (e.g. trade-offs) in packaging logistics, the purpose of this paper is to identify categories of paradoxical tensions in packaging systems used in supply chains, and to develop a conceptual framework that describes these categories.Design/methodology/approachThis research uses a theory building approach. It develops a conceptual framework of paradoxical tensions for packed products in supply chains. It revises and extends current knowledge in this domain by applying paradox theory from organisational research.FindingsThe paper develops a generic, conceptual framework that identifies, categorises and describes packed product paradoxes on two system levels: supply chain and company levels. The categories of paradoxes refer to performing, organising, belonging and learning.Research limitations/implicationsThe framework provides a new theoretical explanation of conflicts of interest in packaging logistics in terms of paradoxical tensions related to packed products in supply chains. It structures and increases general understanding of such tensions within and between actors in a supply chain. The paper also discusses differences in terminology between tensions which are possible to settle and those which lead to paradoxes.Practical implicationsThe framework provides a structure for analysing the organisational impact of strategic packaging decisions. It can help highlight different stakeholders' organisational constraints related to packaging.Originality/valueThe framework's systematic categorisation of four types of paradoxical tensions, with thorough descriptions of the meaning of packed product paradoxes of each type, offers an expanded and in-depth explanation of the organisational impacts of packed products in supply chains.
Impaired awareness of deficits and cognitive strategy use in occupational performance of persons with acquired brain injury (ABI)
Authors: van Erp Sabine , Steultjens Esther 
Published: August 2020

Purpose
This study aims to explore the difference in cognitive strategy use during observed occupational performance between and within different levels of impaired awareness of deficits of individuals with acquired brain injury (ABI).

Design/methodology/approach
A cross-sectional study (N = 24) of individuals with ABI receiving rehabilitation and with the capacity to demonstrate goal-directed behaviour (Allen cognitive level screen score = 4.0) was undertaken. Cognitive strategy use during occupational performance of daily activities (measured with the perceive, recall, plan and perform [PRPP]) was evaluated between and within different awareness levels (awareness levels measured by the self-regulation skill interview). Statistical analyses, using independent t-test, Mann Whitney U test, ANOVA and Friedman test, were executed.

Findings
Significant differences were shown for both strengths and weaknesses in cognitive strategy use between emergent (n = 13) and anticipatory awareness (n = 11) groups on PRPP items “perceive”, “sensing” and “mapping”; and “searches”, “recall steps”, “identify obstacles”, “calibrates”, “stops”, “continues” and “persists”. Within emergent awareness group, participants scored lowest related to “perceive”, “plan”, “sensing”, “mapping”, “programming” and “evaluating”. Within anticipatory awareness group, participants scored lowest related to “plan”, “programming” and “evaluating”.

Practical implications
This study showed differences in cognitive strategy application during task performance in individuals with emergent or anticipatory awareness deficits that fit with theoretical expectations. It is recommended to make use of the PRPP assessment results (strengths and weaknesses in cognitive strategy application) to support the level of awareness determination. The PRPP assessment results and the level of awareness tailor the clinical reasoning process for personalised intervention planning and cognitive strategy training.

Originality/value
Because impaired awareness has so much impact on the course and outcome of rehabilitation (Rotenberg-Shpigelman et al., 2014), in clinical practice, it is of paramount importance to be aware of the level of awareness of the client (Smeets et al., 2017) and the effect on occupational performance.
Prediction and analysis of compressive strength of recycled aggregate thermal insulation concrete based on GA-BP optimization network
Authors: Tu Jinsong , Liu Yuanzhen , Zhou Ming , Li Ruixia 
Published: August 2020

Purpose
This paper aims to predict the 28-day compressive strength of recycled thermal insulation concrete more accurately.

Design/methodology/approach
The initial weights and thresholds of BP neural network are improved by genetic algorithm on MATLAB 2014 a platform.

Findings
Genetic algorithm–back propagation (GA-BP) neural network is more stable. The generalization performance of the complex is better.

Originality/value
The GA-BP neural network based on the training sample data can better realize the strength prediction of recycled aggregate thermal insulation concrete and reduce the complex orthogonal experimental process. GA-BP neural network is more stable. The generalization performance of the complex is better.
Robots or frontline employees? Exploring customers’ attributions of responsibility and stability after service failure or success
Authors: Belanche Daniel , Casaló Luis V. , Flavián Carlos , Schepers Jeroen 
Published: August 2020

PurposeService robots are taking over the organizational frontline. Despite a recent surge in studies on this topic, extant works are predominantly conceptual in nature. The purpose of this paper is to provide valuable empirical insights by building on the attribution theory.Design/methodology/approachTwo vignette-based experimental studies were employed. Data were collected from US respondents who were randomly assigned to scenarios focusing on a hotel’s reception service and restaurant’s waiter service.FindingsResults indicate that respondents make stronger attributions of responsibility for the service performance toward humans than toward robots, especially when a service failure occurs. Customers thus attribute responsibility to the firm rather than the frontline robot. Interestingly, the perceived stability of the performance is greater when the service is conducted by a robot than by an employee. This implies that customers expect employees to shape up after a poor service encounter but expect little improvement in robots’ performance over time.Practical implicationsRobots are perceived to be more representative of a firm than employees. To avoid harmful customer attributions, service providers should clearly communicate to customers that frontline robots pack sophisticated analytical, rather than simple mechanical, artificial intelligence technology that explicitly learns from service failures.Originality/valueCustomer responses to frontline robots have remained largely unexplored. This paper is the first to explore the attributions that customers make when they experience robots in the frontline.
Fraud detection in bank transaction with wrapper model and Harris water optimization-based deep recurrent neural network
Authors: Kolli Chandra Sekhar , Tatavarthi Uma Devi 
Published: August 2020

Purpose
Fraud transaction detection has become a significant factor in the communication technologies and electronic commerce systems, as it affects the usage of electronic payment. Even though, various fraud detection methods are developed, enhancing the performance of electronic payment by detecting the fraudsters results in a great challenge in the bank transaction.

Design/methodology/approach
This paper aims to design the fraud detection mechanism using the proposed Harris water optimization-based deep recurrent neural network (HWO-based deep RNN). The proposed fraud detection strategy includes three different phases, namely, pre-processing, feature selection and fraud detection. Initially, the input transactional data is subjected to the pre-processing phase, where the data is pre-processed using the Box-Cox transformation to remove the redundant and noise values from data. The pre-processed data is passed to the feature selection phase, where the essential and the suitable features are selected using the wrapper model. The selected feature makes the classifier to perform better detection performance. Finally, the selected features are fed to the detection phase, where the deep recurrent neural network classifier is used to achieve the fraud detection process such that the training process of the classifier is done by the proposed Harris water optimization algorithm, which is the integration of water wave optimization and Harris hawks optimization.

Findings
Moreover, the proposed HWO-based deep RNN obtained better performance in terms of the metrics, such as accuracy, sensitivity and specificity with the values of 0.9192, 0.7642 and 0.9943.

Originality/value
An effective fraud detection method named HWO-based deep RNN is designed to detect the frauds in the bank transaction. The optimal features selected using the wrapper model enable the classifier to find fraudulent activities more efficiently. However, the accurate detection result is evaluated through the optimization model based on the fitness measure such that the function with the minimal error value is declared as the best solution, as it yields better detection results.