bluuebunny/crossref_metadata_2025_split huggingface dataset:
The antique genetic plight of the Mediterranean monk seal (Monachus monachus)
Authors: Salmona Jordi , Dayon Julia , Lecompte Emilie , Karamanlidis Alexandros A. , Aguilar Alex , Fernandez De Larrinoa Pablo , Pires Rosa , Mo Giulia , Panou Aliki , Agnesi Sabrina , Borrell Asunción , Danyer Erdem , Öztürk Bayram , Tonay Arda M. , Anestis Anastasios K. , González Luis M. , Dendrinos Panagiotis , Gaubert Philippe 
Published: December 2021

AbstractDisentangling the impact of Late Quaternary climate change from human activities can have crucial implications on the conservation of endangered species. We investigated the population genetics and demography of the Mediterranean monk seal (Monachus monachus), one of the world’s most endangered marine mammals, through an unprecedented dataset encompassing historical (extinct) and extant populations from the eastern North Atlantic to the entire Mediterranean Basin. We show that Cabo Blanco (Western Sahara/Mauritania), Madeira, Western Mediterranean (historical range), and Eastern Mediterranean regions segregate into four populations. This structure is likely the consequence of recent drift, combined with long-term isolation by distance (R2= 0.7), resulting from prevailing short-distance (< 500 km) and infrequent long-distance dispersal (< 1,500 km). All populations (Madeira especially), show high levels of inbreeding and low levels of genetic diversity, seemingly declining since historical time, but surprisingly not being impacted by the 1997 massive die-off in Cabo Blanco. Approximate Bayesian Computation analyses support scenarios combining local extinctions and a major effective population size decline in all populations during Antiquity. Our results suggest that the early densification of human populations around the Mediterranean Basin coupled with the development of seafaring techniques were the main drivers of the decline of Mediterranean monk seals.
ROOT PENETRATION INDEX 3, a major quantitative trait locus (QTL) associated with root system penetrability in Arabidopsis
Authors: Bello Elohim Bello , Cambron Thelma Y. Rico , Álvarez Rubén Rellán , Estrella Luis Herrera 
Published: December 2021

AbstractSoil mechanical impedance precludes root penetration, confining root system development to shallow soil horizons where mobile nutrients are scarce. Using a two-phase-agar system, we characterized Arabidopsis thaliana responses to low and high mechanical impedance at three root penetration stages. We found that seedlings whose roots fail to penetrate agar barriers show drastic changes in shoot and root morphology, while those capable of penetrating have only minor morphological effects. The assessment of 21 Arabidopsis accessions revealed that primary root penetrability (PRP) varies widely among accessions. To search for quantitative trait loci (QTLs) associated to root system penetrability, we evaluated a recombinant inbred population (RIL) derived from Landsberg erecta (Ler-0, with a high PRP) and Shahdara (Sha, with a low PRP) accessions. QTL analysis revealed a major-effect QTL localized in chromosome 3 (q-RPI3), which accounted for 29.98% (LOD = 8.82) of the total phenotypic variation. Employing an introgression line (IL-321), with a homozygous q-RPI3 region from Sha in the Ler-0 genetic background, we demonstrated that q-RPI3 plays a crucial role in root penetrability. This multiscale study revels new insights into root plasticity during the penetration process in hard agar layers, natural variation and genetic architecture behind primary root penetrability in Arabidopsis.HighlightWe found a wide natural variation in the capacity of Arabidopsis accessions to penetrate hard agar layers. Using a Ler-0 x Sha recombinant inbred population, a major-effect QTL (q-RPI3) strongly associated with root penetrability of compact agar layers was identified.
A single-cell atlas of human fetal lung development between 14 and 19 weeks of gestation
Authors: Renesme Laurent , Lesage Flore , Cook David , Zhong Shumei , Hänninen Satu , Carpén Olli , Mižíková Ivana , Thébaud Bernard 
Published: December 2021

ABSTRACTRationaleHuman lung development has been mainly described in morphologic studies and the potential underlying molecular mechanisms were extrapolated from animal models. Therefore, there is a need to gather knowledge from native human lung tissue. In this study we describe changes at a single-cell level in human fetal lungs during the pseudoglandular stage.MethodsWe report the cellular composition, cell trajectories and cell-to-cell communication in developing human lungs with single-nuclei RNA sequencing (snRNA-seq) on 23,251 nuclei isolated from nine human fetuses with gestational ages between 14 to 19 weeks of gestation.ResultsWe identified nine different cell types, including a rare pulmonary neuroendocrine cells population. For each cell type, marker genes are reported, and selected marker genes are used for spatial validation with fluorescent RNA in situ hybridization. Enrichment and developmental trajectory analysis provide insight into molecular mechanisms and signaling pathways within individual cell clusters according to gestational age. Lastly, ligand-receptor analysis highlights determinants of cell-to-cell communication among the different cell types through the pseudoglandular stage, including general developmental pathways (NOTCH and TGFB), as well as more specific pathways involved in vasculogenesis, neurogenesis, and immune system regulation.ConclusionThese findings provide a clinically relevant background for research hypotheses generation in projects studying normal or impaired lung development and help to develop and validate surrogate models to study human lung development, such as human lung organoids.TAKE HOME MESSAGEUsing a single-cell transcriptomic approach (single-nuclei RNA sequencing), we describe here, for the first time, the cellular landscape, cell developmental trajectories, and cell-to-cell communication in the developing human lung during the pseudoglandular stage.
In situ distance measurements in a membrane transporter using maleimide functionalized orthogonal spin labels and 5-pulse electron double resonance spectroscopy
Authors: Ketter Sophie , Dajka Marina , Rogozhnikova Olga , Dobrynin Sergey A. , Tormyshev Victor M. , Bagryanskaya Elena G. , Joseph Benesh 
Published: December 2021

AbstractSpectroscopic investigation of membrane proteins in their native environment is a challenging task. Earlier we demonstrated the feasibility to measure precise distances within outer membrane proteins in E. coli and native membranes using methanethiosulfonate (MTS) functionalized labels combined with pulsed electron double resonance spectroscopy. Here we show the application of maleimide functionalized Gd(III), nitroxide, and trityl labels for in situ distance measurement using the cobalamin transporter BtuB. These labels enabled distance measurements for BtuB in E. coli and native outer membranes and in the membranes maleimide-Gd-DOTA also is effective. Further, we show that the observable dipolar evolution time can be significantly prolonged in the native environments using the Carr-Purcell 5-pulse electron double resonance sequence. For a nitroxide-nitroxide pair, application of sech/tanh inversion pulses substantially suppressed the 4-pulse artifact at the Q-band frequency. In the case of a nitroxide-trityl pair, Gaussian pump pulses of varying amplitude are sufficient to suppress the artifact to the typical noise level. The feasibility of a range of bioresistant spin labels and the 5-pulse electron double resonance offers promising tools for investigating heterooligomeric membrane protein complexes in their native environment.
Crosstalk between biochemical signaling and trafficking determines AMPAR dynamics in synaptic plasticity
Authors: Bell M. K. , Rangamani P. 
Published: December 2021

AbstractSynaptic plasticity involves the modification of both biochemical and structural components of neurons. Many studies have revealed that the change in the number density of the glutamatergic receptor AMPAR at the synapse is proportional to synaptic weight update; increase in AMPAR corresponds to strengthening of synapses while decrease in AMPAR density weakens synaptic connections. The dynamics of AMPAR are thought to be regulated by upstream signaling, primarily the calcium-CaMKII pathway, trafficking to and from the synapse, and influx from extrasynaptic sources. Here, we have developed a set of models using compartmental ordinary differential equations to systematically investigate contributions of signaling and trafficking variations on AMPAR dynamics at the synaptic site. We find that the model properties including network architecture and parameters significantly affect the integration of fast upstream species by slower downstream species. Furthermore, we predict that the model outcome, as determined by bound AMPAR at the synaptic site, depends on (a) the choice of signaling model (bistable CaMKII or monostable CaMKII dynamics), (b) trafficking versus influx contributions, and (c) frequency of stimulus. Therefore, AMPAR dynamics can have unexpected dependencies when upstream signaling dynamics (such as CaMKII and PP1) are coupled with trafficking modalities.
Multimodal lesion network mapping to predict sensorimotor behavior in stroke patients
Authors: Jimenez-Marin Antonio , Bruyn Nele De , Gooijers Jolien , Llera Alberto , Meyer Sarah , Alaerts Kaat , Verheyden Geert , Swinnen Stephan P. , Cortes Jesus M. 
Published: December 2021

AbstractLesion network mapping (LNM) has proved to be a successful technique to map symptoms to brain networks after acquired brain injury. Beyond the characteristics of a lesion, such as its etiology, size or location, LNM has shown that common symptoms in patients after injury may reflect the effects of their lesions on the same circuits, thereby linking symptoms to specific brain networks. Here, we extend LNM to its multimodal form, using a combination of functional and structural connectivity maps drawn from data from 1000 healthy participants in the Human Connectome Project. We applied the multimodal LNM to a cohort of 54 stroke patients with the aim of predicting sensorimotor behavior, as assessed through a combination of motor and sensory tests. Test scores were predicted using a Canonical Correlation Analysis with multimodal brain maps as independent variables, and cross-validation strategies were employed to overcome overfitting. The results obtained led us to draw three conclusions. First, the multimodal analysis reveals how functional connectivity maps contribute more than structural connectivity maps in the optimal prediction of sensorimotor behavior. Second, the maximal association solution between the behavioral outcome and multimodal lesion connectivity maps suggests an equal contribution of sensory and motor coefficients, in contrast to the unimodal analyses where the sensory contribution dominates in both structural and functional maps. Finally, when looking at each modality individually, the performance of the structural connectivity maps strongly depends on whether sensorimotor performance was corrected for lesion size, thereby eliminating the effect of larger lesions that produce more severe sensorimotor dysfunction. By contrast, the maps of functional connectivity performed similarly irrespective of any correction for lesion size. Overall, these results support the extension of LNM to its multimodal form, highlighting the synergistic and additive nature of different types of imaging modalities, and the influence of their corresponding brain networks on behavioral performance after acquired brain injury.
Structure and mechanism of a cytosine transport protein
Authors: Hatton Caitlin E. , Brotherton Deborah H. , Cameron Alexander D. 
Published: December 2021

AbstractCodB is a cytosine transporter from the Nucleobase-Cation-Symport-1 (NCS1) transporter family, a member of the widespread LeuT superfamily. Previous experiments with the nosocomial pathogenPseudomonas aeruginosahave shown CodB also to be important in the uptake of 5-fluorocytosine, which has been suggested as a novel drug to combat antimicrobial resistance by suppressing virulence in the organism. Here we solve the crystal structure of CodB fromProteus vulgaris, at 2.4Å resolution in complex with cytosine. We show that the protein carries out the sodium-dependent uptake of cytosine and can bind 5-fluorocytosine. Comparison of the substrate-bound structures of CodB and the hydantoin transporter Mhp1, the only other NCS1 family member for which the structure is known, highlight the importance of the hydrogen bonds that the substrates make with the main chain at the breakpoint in the discontinuous helix, TM6. In contrast to other LeuT superfamily members, neither CodB nor Mhp1 make specific interactions with residues on TM1. Comparison of the structures provides insight into the intricate mechanisms of how these proteins transport substrates across the plasma membrane.
The dynamic interaction between investor attention and green security market: an empirical study based on Baidu index
Authors: Gao Yang , Li Yangyang , Wang Yaojun 
Published: December 2021

PurposeThis paper aims to explore the interaction between investor attention and green security markets, including green bonds and stocks.Design/methodology/approachThis study takes the Baidu index of “green finance” as the proxy for investor attention and constructs several generalized prediction error variance decomposition models to investigate the interdependence. It further analyzes the dynamic interaction between investor attention and the return and volatility of green security markets using the rolling time window.FindingsThe empirical analysis and robustness test results reveal that the spillovers between investor attention and the return and volatility of the green bond market are relatively stable. In contrast, the spillover level between investor attention and the green stock market displays significant time-varying and asymmetric effects. Moreover, the volatility spillover between investor attention and green securities is vulnerable to major financial events, while the return spillover is extremely sensitive to market performance.Originality/valueThe conclusion further expands the practical application and theoretical framework of behavioral finance in green finance and provides a new reference for investors and regulators. Besides, this study also lays a theoretical basis for investors to focus on the practical application of volatility prediction and risk management in green securities.
Two three-phase linear power flow models for distribution power system under polar coordinates
Authors: Mao Wenjin , Li Hongwei 
Published: December 2021

Purpose
The purpose of this study is to provide a non-iterative linear method to solve the power flow equations of alternating current (AC) power grid. Traditional iterative power flow calculation is limited in speed and reliability, and it is unsuitable for the real-time and online applications of the modern distribution power system (DPS). Thus, it would be of great significance if a fast and flexible linear power flow (LPF) solution could be introduced particularly necessary for the robust and fast control of DPS, especially when the system consists of star and delta connections ZIP load (a constant impedance, Z, load, a constant current, I, load and a constant power, P, load) and the high penetration of distributed solar and wind power generators.

Design/methodology/approach
Based on the features of DPS and considering the approximate balance of three-phase DPS, several approximations corresponding to the three-phase power flow equations have been discussed and analyzed. Then, based on those approximations, two three-phase LPF models have been developed under the polar coordinates. One model has been formulated with the voltage magnitudes [referred to the voltage magniudes based linear power flow method (VMLPF)], and another model has been formulated with the logarithmic transform of voltage magnitudes [referred to the logarithmic transform of voltage based linear power flow method LGLPF)].

Findings
The institute of electrical and electronic engineers (IEEE) 13-bus, 37-bus, 123-bus and an improved 615-bus unbalanced DPSs are used to test the performances of the methods considering star and delta connections ZIP load and PV buses (voltage-controlled buses). The test results validate the effectiveness and accuracy of the proposed two models. Especially when considering the PV buses and delta connection ZIP load, the proposed two models perform much well. Moreover, the results show that VMLPF performs a bit better than LGLPF.

Research limitations/implications
Except for the transformer with Yg–Yg connection winding can be dealt with directly, the transformers with other connections are not discussed in this proposed paper and need to be further studied.

Originality/value
These proposed two models can deal with ZIP load with star and delta connections as well as multi slack buses and PV buses. The single-phase, two-phase and three-phase hybrid networks can be directly included too. The proposed two models are capable of offering enough accuracy level, and they are therefore suitable for online applications that require a large number of repeated power flow calculations.
Generation Z and intention to use the digital library: does personality matter?
Authors: Sanjeev M.A. , Khademizadeh Shahnaz , Arumugam Thangaraja , Tripathi D.K. 
Published: December 2021

Purpose
This study aims to evaluate the role of personality in digital library systems (DLS) adoption intention among Generation Z (Gen-Z) students. The study uses the unified theory of acceptance and use of technology-2 and the five-factor model to investigate personality’s influence on Gen-Z’s DLS adoption intention.

Design/methodology/approach
The study is a descriptive causal investigation based on primary data collected through a self-administered survey using pre-validated tools. The study uses structural equation modeling to investigate personality dimensions’ direct and moderating effect on the dependent, independent variables and their relation.

Findings
The study results indicate that personality has no significant influence on Gen-Z’s DLS adoption, suggesting the ubiquity and inevitability of technology in current times. Also, only performance expectancy had a considerable impact on DLS adoption among Gen-Z going to college – a deviation from past studies where multiple independent variables have influenced DLS adoption when examined from different technology adoption model angles.

Research limitations/implications
The current research is done on Gen-Z, and thus the results are ideographic to the cohort.

Practical implications
The results of the study can be used to effectively design and communicate technology-enabled information solutions among the Cohort.

Social implications
The results of the study help better understand the factors affecting the technology adoption intentions of Gen-Z. Such understanding can help in better design and implementation of technology-enabled solutions for the cohort, maximizing such system adoption and its effective and efficient utilization.

Originality/value
The study explores the impact of personality on DLS adoption intentions, hitherto unexplored. The research also focuses on Gen-Z – a cohort born in a technology-enabled world whose attitude and preferences towards technology might differ. The study’s findings will help understand the influence of personality on DLS adoption among the Gen-Z and can be used to design, promote and evaluate such systems.
Global research mapping on reproductive health: a bibliometric visualisation analysis
Authors: Trivedi Dharmendra , Majumder Navaneeta , Bhatt Atul , Pandya Mayuri , Chaudhari Shanti P. 
Published: December 2021

PurposeThis study aims to examine the research productivity and network visualisation on reproductive health (RH) domain with several bibliometric indicators and applied visualisation approach in co-authorship, citation, co-occurrence of keywords and bibliographic coupling analysis in the area of RH.Design/methodology/approachThis study used bibliometric indicators to determine the highly productive authors, source title, documents and organisations. This study used Web of Science database and retrieved a total of 18,186 scientific publications on the domain of RH published during the period of 2010–2020. Data analysis was also performed using VOS viewer software and RStudio.FindingsThe findings discovered the increasing trends of research publications in reproductive health in past ten years. The USA UK, China and Australia were the top four productive countries in terms of publishing research in the arena, and “Kishsin DM” and “Hauser R” have secured in top two positions under highly prolific authors category. University of California, Harvard University and University of London were observed under the top three productive institutions in the domain. This study also revealed association and collaboration among authors, country and institutions in the visualisation analysis. The core findings of co-occurrence of keywords emphasised that “RH,” “assisted reproductive technology,” “women,” “pregnancy” and “in-vitro fertilization” were established frequently used keywords and have robust link strength.Practical implicationsThe findings will be helpful to the researchers to know about the status of latest trends and development of the domain. This study is also helpful to the library authority for collection development in the specific subject domain.Originality/valueTo the best of the authors’ knowledge, there was no past study found on the evaluation of research productivity and network visualisation in the domain of RH, which is a globally important issue.
A tool for analysing organisational clans and tribes: the case of the transformation of Medellin city, Colombia
Authors: Escobar-Sierra Manuela , Calderón-Valencia Felipe 
Published: December 2021

Purpose
Organisational clans and tribes are entities that prescribe the behaviour of collaborators on the basis of cultural values and norms. Consequently, this study aims to propose a management tool based on the analysis and interpretation of organisational clans and tribes.

Design/methodology/approach
With this purpose, first, the authors review the current status of the discussion about organisational clans and tribes, following a sequential mix-method approach that begins with a bibliometric analysis and end with a content review. Based on these results, in the second stage, the authors propose a conceptual tool that analyses clans and tribes in organisations to create and consolidate alliances. Then in the third stage, the authors apply this tool to the transformation of Medellin – a city that was first conceived as violent and now become a good place to live and travel.

Findings
By applying the tool proposed in this study, it is possible to analyse and understand how to transform disagreement into alliance and how clans and tribes – in addition to taking a leading role in organising – are jointly responsible for the results.

Originality/value
Clans and tribes of management are proposed as a tool for organisational management from the analysis and interpretation of clans and tribes in organisations. These clans and tribes of management allow for the intervention of clans and tribes of reference and their consequent emancipation, through organisational clans and tribes that arise naturally, by association or disintegration and that support the management of change required to create effective alliances. Thus, the strategy that should be followed to reinforce the management of changes in organisations is to align alliances with organisational clans and tribes.