bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of seed collection programs for the recovery of Argopecten purpuratus populations in the La Rinconada marine reserve (Antofagasta, Chile)
Authors: Avendaño Miguel , Cantillánez Marcela , González Jorge E. 
Published: December 2022

Abstract

‘La Rinconada Marine’ Reserve (MR), Chile was created in 1997 to preserve the genetic stock of the scallop Argopecten purpuratus and eventually to supply seed to areas outside of the reserve and support aquaculture activities. Data from biological and fisheries monitoring of A. purpuratus as well as environmental conditions in the MR are available for the period from 1993 to 2009.
The continuous extraction of A. purpuratus from La Rinconada MR in Chile, without a science‐based exploitation plan, has not only decreased the abundance and population structure of the species but has also significantly affected seed settlement in artificial collectors and population recruitment. Therefore, the goals of the MR have not been achieved.
This review of biological and fishing studies of A. purpuratus in La Rinconada MR provides a basis for the implementation of a sustainable programme for the natural collection of A. purpuratus seed for population recovery.
A. purpuratus recruitment varies substantially between years and is not strongly related to the size of the parental population. Larval collection and recruitment depend on environmental events (El Niño‐Southern Oscillation) and biological substrate availability (Rhodymenia red algae). These factors produce a bentho‐pelagic decoupling between parental abundance, larval production and subsequent recruitment of A. purpuratus that limits stock recovery in the MR.
To address the poor population status of A. purpuratus in the MR, recovery of the adult population is needed. Therefore, an assisted collection and recruitment strategy is proposed to increase the population and enable the generation of surplus seed, fulfilling the initial aims of La Rinconada MR.
Egocentric cocitation networks and scientific papers destinies
Authors: Milard Béatrice , Pitarch Yoann 
Published: December 2022

AbstractTo what extent is the destiny of a scientific paper shaped by the cocitation network in which it is involved? What are the social contexts that can explain these structuring? Using bibliometric data, interviews with researchers, and social network analysis, this article proposes a typology based on egocentric cocitation networks that displays a quadruple structuring (before and after publication): polarization, clusterization, atomization, and attrition. It shows that the academic capital of the authors and the intellectual resources of their research are key factors of these destinies, as are the social relations between the authors concerned. The circumstances of the publishing are also correlated with the structuring of the egocentric cocitation networks, showing how socially embedded they are. Finally, the article discusses the contribution of these original networks to the analyze of scientific production and its dynamics.
Techno‐economic assessment of single‐stream feedstock logistics supply chain for corn stover and grain
Authors: Hemmelgarn Adam B. , Lin Yingquian , Wendt Lynn M. , Hartley Damon S. , Digman Matthew F. 
Published: December 2022

AbstractThe state‐of‐technology for corn stover harvest is a multi‐pass system that collects the stover after grain harvest. An alternative is a single‐stream system where the grain and stover are harvested as a bulk material co‐stored and preserved by anerobic fermentation, and finally, co‐transported to a biorefinery. In the present work, four single‐pass whole‐plant bulk systems were compared with a conventional multi‐pass bale system. The single‐stream systems consisted of the harvest of corn grain and a portion of the stover fraction. Four machine configurations were simulated. This work predicted that a multi‐pass bale system would result in a material cost of 111.80 $2021 Mg–1 stover DM delivered to the biorefinery gate. Alternatively, the lowest cost single‐stream system was the self‐propelled forage harvester (SPFH) configured with the whole‐plant header, which delivered feedstock for 74.76 $2021 Mg stover DM–1. In addition to machine configuration, a sensitivity analysis was performed to understand important drivers of feedstock cost. These analyses revealed that feedstock cost increased with moisture content, fertilizer price, and biorefinery size, and decreased with harvest season length, crop yield, and grower participation. This work demonstrated that single‐stream systems could reduce corn stover feedstock costs in comparison with state‐of‐technology systems. © 2022 The Authors. Biofuels, Bioproducts and Biorefining published by Society of Industrial Chemistry and John Wiley & Sons Ltd.
Pandemic, a catalyst for change: Strategic planning for digital education in English secondary schools, before during and post Covid
Authors: Baxter Jacqueline , Floyd Alan , Jewitt Katharine 
Published: December 2022

AbstractFollowing lockdowns in 2020 owing to Covid‐19, schools needed to find a way to ensure the education of their pupils. In order to do this, they engaged in digital learning, to varying extents. Innovations emanated from all school staff including, for example, teachers, leaders and teaching assistants. Some were already innovating in this area and brought forward and implemented digital strategies, while others engaged with digital learning for the first time. While research is emerging about the effects of the pandemic restrictions on pupils and staff in relation to key issues such as mental health and educational attainment, very little is known about the impact on school leaders' strategic planning processes. To address this gap, this paper draws on a UK Research and Innovation funded study adopting a strategy as learning approach to report on 50 qualitative interviews with school leaders to examine digital strategy in English secondary schools, before, during and after July 2021, when restrictions were lifted in England. It draws on strategy as learning literature to evaluate if schools have changed their strategic planning for digital learning, as a direct response to having learned and innovated during the pandemic. The paper concludes that there is evidence that digital innovations during the pandemic have changed the ways in which leaders think about their digital strategy, thus supporting a strategy as learning approach. However it also concludes that although there is ample evidence that the pandemic has changed the way many schools view digital learning, for some schools, there remain persistent barriers to digital integration and planning. These emanate both from material and cultural considerations, as well as leader vision and belief in digital learning.
The definition of corporate corruption prevention during the last decade: Bibliometrics and content data for the future research agenda
Authors: Ruggiero Pasquale , Mussari Riccardo 
Published: December 2022

AbstractThe purpose of this research is to provide a valuable study about the development of literature on corruption prevention during the last decade suggesting the way for the future agenda. We collected documents with the aims to develop a structured literature review (SLR). We collected 113 documents adopting a not grey analysis. Our results shows two main research areas: (i) the corruption prevention understanding its features and using accounting and ethical activities in the business and government procurement and (ii) anticorruption measures, disclosure and behaviours as renewed tools to increase corporate governance sustainability and corporate social responsibility. This is the first time for proposing the SLR on corporate corruption preventions and renewed models directed to build an updated background and emerging issues. This paper is original because proposes for the first time the literature collection of corporate corruption prevention's models providing valuable insights, critique and definition for the future research.
Selectivity Rule of Cryptands for Anions: Molecular Rigidity and Bonding Site
Authors: Li Jiayao , Wang Changwei , Mo Yirong 
Published: December 2022

AbstractCryptands utilize inside CH or NH groups as hydrogen bond (H‐bond) donors to capture anions such as halides. In this work, the nature and selectivity of confined hydrogen bonds inside cryptands were computationally analyzed with the energy decomposition scheme based on the block‐localized wavefunction method (BLW‐ED), aiming at an elucidation of governing factors in the binding between cryptands and anions. It was revealed that the intrinsic strengths of inward hydrogen bonds are dominated by the electrostatic attraction, while the anion preferences (selectivity) of inner CH and NH hydrogen bonds are governed by the Pauli exchange repulsion and electrostatic interaction, respectively. Typical conformers of cages are classified into two groups, including theC3(h)‐symmetrical conformers, in which all halide anions are located near the centroids of cages, and the “semi‐open” conformers, which exhibit shifted bonding sites for different halide anions. Accordingly, the difference in governing factors of selectivity is attributed to either the rigidity of cages or the binding site of anions for these two groups. In details, theC3conformers of NH cryptands can be enlarged more remarkably than theC3(h)‐symmetrical conformers of CH cryptands as the size of anion (ionic radius) increases, resulting in the relaxation of the Pauli repulsion and a dramatic reduction in electrostatic attraction, which eventually rules the selectivity of NH cryptands for halide anions. By contrary, the CH cryptands are more rigid and cannot effectively reduce the Pauli repulsion, which subsequently governs the anion preference. UnlikeC3conformers whose rigidity determines the selectivity, semi‐open conformers exhibit different binding sites for different anions. From F−to I−, the bonding site shifts toward the outside end of the pocket inside the semi‐open NH cryptand, leading to the significant reduction of the electrostatic interaction that dominates the anion preference. Differently, binding sites are much less affected by the size of anion inside the semi‐open CH cryptand, in which the Pauli exchange repulsion remains the key factor for the selectivity of inner hydrogen bonds.
Neoadjuvant famitinib and camrelizumab, a new combined therapy allowing surgical resection of the primary site for anaplastic thyroid carcinoma
Authors: Yang Shuwen , Ji Dongmei , Xue Fen , Chen Tongzhen , Wang Yu , Ji Qinhai 
Published: December 2022

AbstractBackgroundAnaplastic thyroid cancer (ATC) is considered the most lethal thyroid cancer, with an overall 5‐year survival rate below 10%. The FDA approved a BRAF/MEK inhibitor combination for the treatment of patients with BRAF‐mutated ATC. However, effective therapeutic options for patients with wild‐type BRAF are lacking.CaseIn our phase II study, patients having advanced/metastatic solid ATCs were treated with famitinib and camrelizumab, a combination therapy involving a multi‐targeted kinase inhibitor and an anti‐PD‐1 antibody. We report a case of a patient with locally advanced unresectable ATC who underwent this combination therapy, allowing us to perform complete surgical resection followed by post‐operative radiation therapy.ConclusionTo the best of our knowledge, this is the first report describing the use of famitinib and camrelizumab as a neoadjuvant treatment for ATC with wild‐type BRAF. Clinical trial for a novel neoadjuvant approach for ATC are currently open for enrollment.
Multiparameter flow cytometry in the evaluation of myelodysplasia: Analytical issues
Authors: Porwit Anna , Béné Marie C. , Duetz Carolien , Matarraz Sergio , Oelschlaegel Uta , Westers Theresia M. , Wagner‐Ballon Orianne , Kordasti Shahram , Valent Peter , Preijers Frank , Alhan Canan , Bellos Frauke , Bettelheim Peter , Burbury Kate , Chapuis Nicolas , Cremers Eline , Della Porta Matteo G. , Dunlop Alan , Eidenschink‐Brodersen Lisa , Font Patricia , Fontenay Michaela , Hobo Willemijn , Ireland Robin , Johansson Ulrika , Loken Michael R. , Ogata Kiyoyuki , Orfao Alberto , Psarra Katherina , Saft Leonie , Subira Dolores , te Marvelde Jeroen , Wells Denise A. , van der Velden Vincent H. J. , Kern Wolfgang , van de Loosdrecht Arjan A. 
Published: December 2022

AbstractMultiparameter flow cytometry (MFC) is one of the essential ancillary methods in bone marrow (BM) investigation of patients with cytopenia and suspected myelodysplastic syndrome (MDS). MFC can also be applied in the follow‐up of MDS patients undergoing treatment. This document summarizes recommendations from the International/European Leukemia Net Working Group for Flow Cytometry in Myelodysplastic Syndromes (ELN iMDS Flow) on the analytical issues in MFC for the diagnostic work‐up of MDS. Recommendations for the analysis of several BM cell subsets such as myeloid precursors, maturing granulocytic and monocytic components and erythropoiesis are given. A core set of 17 markers identified as independently related to a cytomorphologic diagnosis of myelodysplasia is suggested as mandatory for MFC evaluation of BM in a patient with cytopenia. A myeloid precursor cell (CD34+CD19−) count >3% should be considered immunophenotypically indicative of myelodysplasia. However, MFC results should always be evaluated as part of an integrated hematopathology work‐up. Looking forward, several machine‐learning‐based analytical tools of interest should be applied in parallel to conventional analytical methods to investigate their usefulness in integrated diagnostics, risk stratification, and potentially even in the evaluation of response to therapy, based on MFC data. In addition, compiling large uniform datasets is desirable, as most of the machine‐learning‐based methods tend to perform better with larger numbers of investigated samples, especially in such a heterogeneous disease as MDS.
Evaluate your credentials to assess whether skills are useful in the workplace, valuable to students
Authors: Sutton Halley 
Published: December 2022

CHICAGO — Can students actually demonstrate the skills they learn from your programs in a way that will better their life outcomes? And do employers understand the competencies students gain when they graduate from your institution? It's a question on the minds of many who work in higher education, and it has an impact for your institution in terms of showing students the value of their degree. The landscape of college credentials is growing, sowing further confusion as each institution often has its own language for discussing similar skills or competencies.
Partitioning variance in immune traits in a zooplankton host—Fungal parasite system
Authors: Westphal Grace H. , Stewart Merrill Tara E. 
Published: December 2022

AbstractHost immune traits arise from both genetic and environmental sources of variation. When immune traits have a strong genetic basis, the presence and severity of disease in a population may influence the distribution of those traits. Our study addressed how two immune‐related traits (gut penetrability and the hemocyte response) are shaped by genetic and environmental sources of variation, and how the presence of a virulent disease altered the relative frequency of these traits in natural populations. Daphnia dentifera hosts were sampled from five Indiana lakes between June and December 2017 before and during epidemics of their fungal pathogen, Metschnikowia bicuspidata. Collected Daphnia were experimentally exposed to Metschnikowia and assayed for their gut penetrability, hemocyte response, and multi‐locus genotype. Mixed‐effects models were constructed to partition variance in immune traits between genetic and environmental sources. We then isolated the genetic sources to produce genotype‐specific estimates of immune traits for each multi‐locus genotype. Finally, we assessed the relative frequency and dynamics of genotypes during epidemics and asked whether genotypes with more robust immune responses increased in frequency during epidemics. Although genotype was an important source of variation for both gut penetrability and the hemocyte response, environmental factors (e.g., resource availability, Metschnikowia prevalence, and co‐infection) still explained a large portion of observed variation, suggesting a high degree of flexibility in Daphnia immune traits. Additionally, no significant associations were detected between a genotype's immune traits and its frequency in a population. Our study highlights the power of variance partitioning in understanding the factors driving variation in Daphnia traits and motivates further research on immunological flexibility and the ecological drivers of immune variation.
Performance analyses of TAS/Alamouti‐MRC NOMA in dual‐hop full‐duplex AF relaying networks
Authors: Toka Mesut , Güven Eray , Durmaz Mehmet Akif , Karabulut Kurt Güneş , Kucur Oğuz 
Published: December 2022

AbstractIn this article, performance of a multi‐user downlink non‐orthogonal multiple access system in dual‐hop full‐duplex amplify‐and‐forward relaying networks is investigated over Nakagami‐fading channels in the presence of channel estimation error and feedback delay. The base station applies transmit antenna selection (TAS)/Alamouti space‐time block coding scheme, while the users exploit maximum‐ratio combining to utilize benefits of receive diversity. To demonstrate superiority of the proposed system, outage probability (OP) is investigated, and tight lower bound expression is derived to support the exact OP. Moreover, asymptotic analyzes are also conducted for ideal and practical conditions to provide further insights into the OP in high signal‐to‐noise ratio region. In addition, software defined radio based test‐bed implementation is realized to confirm the analysis and show feasibility of the proposed system. Theoretical analyzes verified by simulations and practical implementations demonstrate that more performance improvement can be achieved for the weakest user (with the lowest channel gain) in the case of practical conditions when compared to ideal cases. Also, both diversity order and array gain are dominant in achieving minimum OP (based on relay location) in ideal conditions, while only array gain has effect in practical manner.
Overexpression of UCP4 in astrocytic mitochondria prevents multilevel dysfunctions in a mouse model of Alzheimer's disease
Authors: Rosenberg Nadia , Reva Maria , Binda Francesca , Restivo Leonardo , Depierre Pauline , Puyal Julien , Briquet Marc , Bernardinelli Yann , Rocher Anne‐Bérengère , Markram Henry , Chatton Jean‐Yves 
Published: December 2022

AbstractAlzheimer's disease (AD) is becoming increasingly prevalent worldwide. It represents one of the greatest medical challenges as no pharmacologic treatments are available to prevent disease progression. Astrocytes play crucial functions within neuronal circuits by providing metabolic and functional support, regulating interstitial solute composition, and modulating synaptic transmission. In addition to these physiological functions, growing evidence points to an essential role of astrocytes in neurodegenerative diseases like AD. Early‐stage AD is associated with hypometabolism and oxidative stress. Contrary to neurons that are vulnerable to oxidative stress, astrocytes are particularly resistant to mitochondrial dysfunction and are therefore more resilient cells. In our study, we leveraged astrocytic mitochondrial uncoupling and examined neuronal function in the 3xTg AD mouse model. We overexpressed the mitochondrial uncoupling protein 4 (UCP4), which has been shown to improve neuronal survival in vitro. We found that this treatment efficiently prevented alterations of hippocampal metabolite levels observed in AD mice, along with hippocampal atrophy and reduction of basal dendrite arborization of subicular neurons. This approach also averted aberrant neuronal excitability observed in AD subicular neurons and preserved episodic‐like memory in AD mice assessed in a spatial recognition task. These findings show that targeting astrocytes and their mitochondria is an effective strategy to prevent the decline of neurons facing AD‐related stress at the early stages of the disease.
Locked In
Authors: Brummett Abram 
Published: December 2022

AbstractTiffany was seventeen when injury to her brain stem put her in the intensive care unit on life‐sustaining treatment and in a permanently locked‐in state—fully conscious but able to control no bodily movements other than her eye movements. As a clinical ethicist at the hospital, I was consulted by her neurologist, who had established a blink‐once‐for‐yes, twice‐for‐no system of communication so that Tiffany could respond to questions. Her mother wanted Tiffany to continue receiving treatment that could prolong her life for years, potentially decades. In a meeting with the neurologist and family, I felt like suggesting what nobody seemed willing to suggest: that we should ask Tiffany what she wants.
Investigating cognitive neuroscience theories of human intelligence: A connectome‐based predictive modeling approach
Authors: Anderson Evan D. , Barbey Aron K. 
Published: December 2022

AbstractCentral to modern neuroscientific theories of human intelligence is the notion that general intelligence depends on a primary brain region or network, engaging spatially localized (rather than global) neural representations. Recent findings in network neuroscience, however, challenge this assumption, providing evidence that general intelligence may depend on system‐wide network mechanisms, suggesting that local representations are necessary but not sufficient to account for the neural architecture of human intelligence. Despite the importance of this key theoretical distinction, prior research has not systematically investigated the role of local versus global neural representations in predicting general intelligence. We conducted a large‐scale connectome‐based predictive modeling study (N = 297), administering resting‐state fMRI and a comprehensive cognitive battery to evaluate the efficacy of modern neuroscientific theories of human intelligence, including spatially localized theories (Lateral Prefrontal Cortex Theory, Parieto‐Frontal Integration Theory, and Multiple Demand Theory) and recent global accounts (Process Overlap Theory and Network Neuroscience Theory). The results of our study demonstrate that general intelligence can be predicted by local functional connectivity profiles but is most robustly explained by global profiles of whole‐brain connectivity. Our findings further suggest that the improved efficacy of global theories is not reducible to a greater strength or number of connections, but instead results from considering both strong and weak connections that provide the basis for intelligence (as predicted by the Network Neuroscience Theory). Our results highlight the importance of considering local neural representations in the context of a global information‐processing architecture, suggesting future directions for theory‐driven research on system‐wide network mechanisms underlying general intelligence.