bluuebunny/crossref_metadata_2025_split huggingface dataset:
A supervised learning algorithm to evaluate occurrence records in virtual species
Authors: Rios Richard , Noguera-Urbano Elkin A. , Espinosa Jairo , Ochoa Jose Manuel 
Published: September 2021

AbstractDigital and open access of occurrence data have encouraged the development of tools to improve biodiversity conservation and management. In this study, we proposed a methodology to evaluate point-occurrence records based on expert knowledge. We firstly generated virtual data to test our methodology without confounding factors by simulating geographical distributions, virtual sampling, and expert checking of occurrence records. We used a set of non-linear bioclimatic variables and principal component analysis (PCA) to define a duality function between niche and biotope spaces. Subsequently, a supervised-learning model was fit to classify records between true and doubtful presence based on the virtual expert checking. We then tested our methodology using three virtual species and 10-fold cross validation. Also, we evaluated the prediction performance of the supervise model compared with the virtual observer using a virtual external database of occurrence data.
PHIST: fast and accurate prediction of prokaryotic hosts from metagenomic viral sequences
Authors: Zielezinski Andrzej , Deorowicz Sebastian , Gudyś Adam 
Published: September 2021

AbstractSummaryPHIST (Phage-Host Interaction Search Tool) predicts prokaryotic hosts of viruses from their genomic sequences. It improves host prediction accuracy at species level over current alignment-based tools (on average by 3 percentage points) as well as alignment-free and CRISPR-based tools (by 14–20 percentage points). PHIST is also two orders of magnitude faster than alignment-based tools making it suitable for metagenomics studies.Availability and implementationGNU-licensed C++ code wrapped in Python API available at:https://github.com/refresh-bio/phistContactandrzej.zielezinski@amu.edu.pl,adam.gudys@polsl.plSupplementary informationSupplementary data are available at publisher Web site.
Effects of acute and repeated administration of the selective M4 PAM VU0152099 on cocaine vs. food choice in male rats
Authors: Thomsen Morgane , Crittenden Jill R. , Lindsley Craig W. , Graybiel Ann M. 
Published: September 2021

AbstractLigands that stimulate muscarinic acetylcholine receptors 1 and 4 (M1, M4) have shown promising effects as putative pharmacotherapy for cocaine use disorder in rodent assays. We have previously shown reductions in cocaine effects with acute M4 stimulation, as well as long-lasting, delayed, reductions in cocaine taking and cocaine seeking with combined M1/M4 receptor stimulation or with M1 stimulation alone. M4 stimulation opposes dopaminergic signaling acutely, but direct dopamine receptor antagonists have proved unhelpful in managing cocaine use disorder because they lose efficacy with long-term administration. It is therefore critical to determine whether M4 approaches themselves can remain effective with repeated or chronic dosing. We assessed the effects of repeated administration of the M4 positive allosteric modulator (PAM) VU0152099 in rats trained to choose between intravenous cocaine and a liquid food reinforcer, to obtain quantitative measurement of whether M4 stimulation could produce delayed and lasting reduction in cocaine taking. VU0152099 produced progressively augmenting suppression of cocaine choice and cocaine intake, but produced neither rebound nor lasting effects after treatment ended. To compare and contrast effects of M1 vs. M4 stimulation, we tested whether the M4 PAM VU0152100 suppressed cocaine self-administration in mice lacking CalDAG-GEFI signaling factor, required for M1-mediated suppression of cocaine self-administration. CalDAG-GEFI ablation had no effect on M4-mediated suppression of cocaine self-administration. These findings support the potential usefulness of M4 PAMs as pharmacotherapy to manage cocaine use disorder, alone or in combination with M1-selective ligands, and show that M1 and M4 stimulation modulate cocaine-taking behavior by distinct mechanisms.
The 14-3-3 Proteins Bmh1 and Bmh2 Are Key Regulators of Meiotic Commitment
Authors: Gavade Janardan N. , Puccia Chris , Herod S. Grace , Trinidad Jonathan C. , Berchowitz Luke E. , Lacefield Soni 
Published: September 2021

AbstractInduction of meiosis requires exogenous signals that activate internal gene regulatory networks. Meiotic commitment ensures the irreversible continuation of meiosis, even upon withdrawal of the meiosis inducing signals. Budding yeast cells have a unique property in that cells enter meiosis when starved, but if given nutrient-rich medium prior to the commitment point, they exit meiosis and enter mitosis. After the meiotic commitment point in prometaphase I, cells remain in meiosis even with addition of nutrients. Despite the importance of meiotic commitment in ensuring the production of gametes, only a few genes involved in the commitment process are known. We performed a genome-scale screen in budding yeast and discovered new regulators of meiotic commitment including Bcy1, which is involved in nutrient sensing, the meiosis-specific kinase Ime2, Polo kinase Cdc5, and the 14-3-3 proteins Bmh1 and Bmh2. Importantly, we found that Bmh1 and Bmh2 are involved in multiple processes throughout meiosis including the maintenance of the middle meiosis transcription factor Ndt80, activation of Cdc5, and interaction with an RNA-binding protein Pes4, which is important for regulating the timing of translation of several mRNAs in meiosis II. This study identifies a meiotic commitment regulatory network with the 14-3-3 proteins functioning as central regulators.
Metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships
Authors: Voigt Katharina , Liang Emma X. , Misic Bratislav , Ward Phillip G.D. , Egan Gary F. , Jamadar Sharna D. 
Published: September 2021

AbstractA major challenge in current cognitive neuroscience is how functional brain connectivity gives rise to human cognition. Functional magnetic resonance imaging (fMRI) describes brain connectivity based on cerebral oxygenation dynamics (hemodynamic connectivity), whereas [18 F]-fluorodeoxyglucose functional positron emission tomography (FDG-fPET) describes brain connectivity based on cerebral glucose uptake (metabolic connectivity), each providing a unique characterisation of the human brain. How these two modalities differ in their contribution to cognition and behaviour is unclear. We used simultaneous resting-state FDG-fPET/fMRI to investigate how hemodynamic connectivity and metabolic connectivity relate to cognitive function by applying partial least squares analyses. Results revealed that while for both modalities the frontoparietal anatomical subdivisions related the strongest to cognition, using hemodynamic measures this network expressed executive functioning, episodic memory, and depression, while for metabolic measures this network exclusively expressed executive functioning. These findings demonstrate the unique advantages that simultaneous FDG-PET/fMRI has to provide a comprehensive understanding of the neural mechanisms that underpin cognition and highlights the importance of multimodality imaging in cognitive neuroscience research.
Entrectinib - a SARS-CoV-2 inhibitor in Human Lung Tissue (HLT) cells
Authors: Peralta-Garcia Alejandro , Torrens-Fontanals Mariona , Stepniewski Tomasz Maciej , Grau-Expósito Judit , Perea David , Ayinampudi Vikram , Waldhoer Maria , Zimmermann Mirjam , Buzón Maria J. , Genescà Meritxell , Selent Jana 
Published: September 2021

AbstractSince the start of the COVID-19 outbreak, pharmaceutical companies and research groups have focused on the development of vaccines and antiviral drugs against SARS-CoV-2. Here, we apply a drug repurposing strategy to identify potential drug candidates that are able to block the entrance of the virus into human cells. By combining virtual screening with in vitro pseudovirus assays and antiviral assays in Human Lung Tissue (HLT) cells, we identify entrectinib as a promising antiviral drug. We found that part of the antiviral action of entrectinib is mediated by a non-specific mechanism, likely occurring at the viral membrane level. Such a profile could provide entrectinib with protection against the development of drug resistance by emerging SARS-CoV-2 variants.
A copper switch for inducing CRISPR/Cas9-based transcriptional activation tightly regulates gene expression in Nicotiana benthamiana
Authors: Garcia-Perez Elena , Diego-Martin Borja , Quijano-Rubio Alfredo , Moreno-Gimenez Elena , Orzaez Diego , Vazquez-Vilar Marta 
Published: September 2021

AbstractCRISPR-based programmable transcriptional activators (PTAs) are used in plants for rewiring gene networks. Better tuning of their activity in a time and dose-dependent manner should allow precise control of gene expression. Here, we report the optimization of a Copper Inducible system called CI-switch for conditional gene activation in Nicotiana benthamiana. In the presence of copper, the copper-responsive factor CUP2 undergoes a conformational change and binds a DNA motif named copper-binding site (CBS). In this study, we tested several activation domains fused to CUP2 and found that the non-viral Gal4 domain results in strong activation of a reporter gene equipped with a minimal promoter, offering advantages over previous designs. To connect copper regulation with downstream programable elements, several copper-dependent configurations of the strong dCasEV2.1 PTA were assayed, aiming at maximizing activation range, while minimizing undesired background expression. The best configuration involved a dual copper regulation of the two protein components of the PTA, namely dCas9:EDLL and MS2:VPR, and a constitutive RNA pol III-driven expression of the third component, a guide RNA with anchoring sites for the MS2 RNA-binding domain. With these optimizations in place, the CI/dCasEV2.1 system resulted in copper-dependent activation rates of 2,600-fold for the endogenous N. benthamiana DFR gene, with negligible expression in the absence of the trigger. The tight regulation of copper over CI/dCasEV2.1 makes this system ideal for the conditional production of plant-derived metabolites and recombinant proteins in the field.
Electric shock causes a fear-like persistent behavioral response in the nematode Caenorhabditis elegans
Authors: Tee Ling Fei , Young Jared J. , Suzuki Ryoga , Maruyama Keisuke , Endo Yuto , Kimura Koutarou D. 
Published: September 2021

ABSTRACTBehavioral persistency reflects internal brain states, which are the foundations of multiple brain functions. However, experimental paradigms that enable genetic analyses of behavioral persistency and its associated brain functions have been limited. Here we report novel persistent behavioral responses caused by electric stimuli in the nematode Caenorhabditis elegans. When the animals on bacterial food are stimulated by alternating current, their movement speed suddenly increases more than 2-fold, which persists for minutes even after the electric stimulation is terminated. Genetic analyses reveal that multiple types of voltage-gated channels are required for the response, possibly as the sensors, and neuropeptide signaling regulates the duration of the persistent response. Additional behavioral analyses indicate that the animal’s response to electric shock is scalable and has a negative valence. These properties, along with persistence, have been recently regarded as essential features of emotion, suggesting that the animal’s response to electric shock may express a form of emotion, such as fear.
Fuzzy Integral With Particle Swarm Optimization for CNN-Based Motor-Imagery EEG Classification
Authors: Huang Jian-Xue , Huang Ya-Lin , Hsieh Chia-Ying , Wei Chun-Shu 
Published: September 2021

AbstractRecently, decoding human electroencephalographic (EEG) data using convolutional neural network (CNN) has driven the state-of-the-art recognition of motor-imagery EEG patterns for brain-computer interfacing (BCI). While a variety of CNN models have been used to classify motor-imagery EEG data, it is unclear if aggregating an ensemble of heterogeneous CNN models could further enhance the classification performance. To integrate the outputs of ensemble classifiers, this work utilizes fuzzy integral with particle swarm optimization (PSO) to estimate optimal confidence levels assigned to classifiers. The proposed frame-work aggregates CNN classifiers and fuzzy integral with PSO, achieving robust performance in single-trial classification of motor-imagery EEG data across various CNN model training schemes depending on the scenarios of BCI usage. This proof-of-concept study demonstrates the feasibility of applying fuzzy fusion techniques to enhance CNN-based EEG decoding and benefit practical applications of BCI.
Food insecurity, food waste, food behaviours and cooking confidence of UK citizens at the start of the COVID-19 lockdown
Authors: Armstrong Beth , Reynolds Christian , Martins Carla Adriano , Frankowska Angelina , Levy Renata Bertazzi , Rauber Fernanda , Osei-Kwasi Hibbah A. , Vega Marcelo , Cediel Gustavo , Schmidt Ximena , Kluczkovski Alana , Akparibo Robert , Auma Carolyn L. , Defeyter Margaret Anne A. , Tereza da Silva Jacqueline , Bridge Gemma 
Published: September 2021

PurposeThe current pilot study explored food insecurity, food waste, food related behaviours and cooking confidence of UK consumers following the COVID-19 lockdown.Design/methodology/approachData were collected from 473 UK-based consumers (63% female) in March 2020. A cross-sectional online survey measured variables including food insecurity prevalence, self-reported food waste, food management behaviours, confidence and frequency of use of a range of cooking methods, type of food eaten (ultra-processed, semi-finished, unprocessed) and packaging type foods are purchased in.Findings39% of participants have experienced some food insecurity in the last 12 months. Being younger, having a greater BMI and living in a smaller household were associated with food insecurity. Green leaves, carrots, potatoes and sliced bread are the most wasted of purchased foods. Polenta, green leaves and white rice are the most wasted cooked foods. Food secure participants reported wasting a smaller percentage of purchased and cooked foods compared to food insecure participants. Overall, participants were most confident about boiling, microwaving and stir-frying and least confident with using a pressure cooker or sous vide. Food secure participants were more confident with boiling, stir-frying, grilling and roasting than insecure food participants.Practical implicationsThis has implications for post lockdown policy, including food policies and guidance for public-facing communications.Originality/valueWe identified novel differences in self-report food waste behaviours and cooking confidence between the food secure and insecure consumers and observed demographics associated with food insecurity.
Understanding the key takeaway of construction robots towards construction automation
Authors: Huang Zhu , Mao Chao , Wang Jun , Sadick Abdul-Manan 
Published: September 2021

PurposeThe construction industry is the major sector in China but it has been exposed to a series of problems including low productivity and workforce shortage. However, construction robots as an effective and sustainable approach to overcome the difficulties in construction industry have not been widely adopted. Few studies attempted to investigate on the adoption of construction robots in China. In order to fill this gap, this study aim to address the barriers to the adoption of construction robots in China.Design/methodology/approachThrough literature review, semi-structured interview 24 factors hindering the adoption of construction robots are summarized. Next, a total of valid 150 questionnaires delivered to the 7 stakeholders were collected. Ranking analysis was used to identify 21 critical factors was determined by the mean score analysis and factor analysis extracted 21 critical factors into 5 clusters.FindingsResults indicate that the “technological performance and management” cluster is the most dominant of the 5 clusters. The most important barrier is “Limited research and design input”, followed by “High purchase cost” and “Unstructured construction environment”. Construction robots are still under R&D have had limited field applications in the production and construction process.Originality/valueThe research findings provide a useful reference for different stakeholders to identify the critical factors appropriate strategies to promote the adoption of construction robots. Furthermore, this study provides recommendations to promote adoption of construction robots.
Anticipated positive evaluation of social media posts: social return, revisit intention, recommend intention and mediating role of memorable tourism experience
Authors: Mittal Amit , Bhandari Harveen , Chand Pawan Kumar 
Published: September 2021

PurposeThe purpose of this study is to examine how the anticipated positive evaluation of a tourist’s social media posts by significant others, known as social return (SR), impacts the memorable tourism experience (MTE) and how this evaluation influences the revisit intention and recommend intention (operationalized dimensions of behavioral intention-BI).Design/methodology/approachThe relationship among SR, MTE and BI was measured using established scales that were assessed for reliability and validity. Structural equation modeling was applied to the data collected from 316 respondents who had visited a heritage site.FindingsThe findings indicate that SR significantly impacts MTE and BI and MTE partially mediates the relationship between SR and BI. However, the impact of SR on revisit intention is weak despite being statistically significant.Research limitations/implicationsThis paper seeks to extend the SR concept introduced in tourism and hospitality literature in 2018. This study validated the scale in a new context while retaining the inviolability of the scale by including a world heritage site. This study used an extended version of the MTE scale and an adapted version of the BI scale. The use of these three scales together is an attempt to examine the symbolic nature of social media posts that can generate perceptions regarding the memorability of the tourist’s visit.Originality/valueSR is a relatively new construct and has been very sparsely studied with no known study linking SR, MTE and BI.
Does gender matter for the unemployment hysteresis effect among Asian countries?
Authors: Li Zheng-Zheng , Su Chi Wei , Tao Ran 
Published: September 2021

PurposeThis study aims to examine the unemployment hysteresis effects from the perspective of the heterogeneity of genders within Asian countries.Design/methodology/approachThe authors use the annual unemployment rate dataset of 12 Asian countries ranging from 1991–2020. Traditional unit root tests are initially employed to investigate the unemployment hysteresis effect. Considering the structural break and cross-section dependence problems, the sequential panel selection method (SPSM) and the Kapetanios–Snell–Shin (KSS) panel unit root test with Fourier functions have proven to be more applicable.FindingsThe empirical results indicate that the unemployment rate is stationary in most Asian regions for both females and males, which confirms the mean reversion process of the natural unemployment hypothesis. This suggests that these countries' unemployment rates are flexible to quickly revert to its long-run equilibrium determined by the labor markets. However, only the female unemployment rate in Pakistan and Nepal and adult female unemployment rates in these two economies present non-stationary series. In line with the unemployment hysteresis effect, it means shocks will leave a permanent impact on their labor market.Practical implicationsOn the one hand, in most of the Asian countries, it can be inferred that the trade-off between inflation and unemployment is temporary because the natural unemployment hypothesis holds. Therefore, policymakers may consider using monetary policy as a tool to control inflation and stimulate growth during a recession. Such policy measures should not have a long-run impact on unemployment or cause a permanent shift in the natural unemployment rate. On the other hand, the government should implement active labor protective programs such as education or training schemes, job search assistance programs and maternity protection, especially for female adults, to reduce the negative shocks in the economic downturn, which is beneficial for them away from being long-term unemployed. It is also necessary to improve the labor unions to reduce the discrimination between female and male labors.Originality/valueThis paper innovatively concentrates on the heterogeneity performances between genders about the unemployment hysteresis effect within Asian countries. Furthermore, taking into account the age-specific characteristics, the youth and adult unemployment rates have been investigated. Additionally, the approximation of bootstrap distribution and the advanced panel KSS unit root test with a Fourier function are employed. Thereby, targeted policies for the government can be applied to reduce the discrimination and negative shocks on female adults in the labor market.
No expatriate is an island: the role of salient stakeholders' support in international assignments
Authors: Chan Hak Liong , Zawawi Dahlia , Ng Siew Imm , Nipo Debbra Toria Anak 
Published: September 2021

PurposeInternational assignments are an effective tool to develop employees' cultural competencies, yet expatriate failure rates remain high. This paper aims to examine salient stakeholders' (i.e. organisations, host country nationals (HCNs) and spouses) support as antecedents of expatriates' work adjustment and task performance. It also explores work adjustment as a mediator between support and task performance.Design/methodology/approachAdopting the quantitative approach, survey data were collected from 112 expatriates who were married and based in organisations in Malaysia. Partial least squares-structural equation modelling was employed to analyse the data.FindingsThe findings validate the direct influences of perceived organisational support (POS) on work adjustment, HCN support on work adjustment, and spousal support on task performance. The indirect effect of HCN support on task performance through work adjustment was also established. When expatriates' work adjustment improves as a result of receiving HCN support, their task performance is enhanced.Practical implicationsThis study evidences that expatriate-hiring firms should provide suitable support for expatriates when they work overseas. Local employees and spouses should likewise be tasked to help expatriates maximise their full potential in achieving successful performance in their assignments.Originality/valueThe contribution of this study is the exploration of the relationships between support, work adjustment and task performance among expatriates. It also adds to the limited knowledge on the role of specific stakeholders in the expatriate context.