bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scn1a-GFP transgenic mouse revealed Nav1.1 expression in neocortical pyramidal tract projection neurons
Authors: Yamagata Tetsushi , Ogiwara Ikuo , Tatsukawa Tetsuya , Suzuki Toshimitsu , Otsuka Yuka , Imaeda Nao , Mazaki Emi , Inoue Ikuyo , Tokonami Natsuko , Hibi Yurina , Itohara Shigeyoshi , Yamakawa Kazuhiro 
Published: March 2021

AbstractExpressions of voltage-gated sodium channels Nav1.1 and Nav1.2, encoded bySCN1AandSCN2Agenes respectively, have been reported to be mutually exclusive in most brain regions. In juvenile and adult neocortex, Nav1.1 is predominantly expressed in inhibitory neurons while Nav1.2 is in excitatory neurons. Although a distinct subpopulation of layer V (L5) neocortical excitatory neurons were also reported to express Nav1.1, their nature has been uncharacterized. In hippocampus, Nav1.1 has been proposed to be expressed only in inhibitory neurons. By using newly-generated transgenic mouse lines expressingScn1apromoter-driven green fluorescent protein (GFP), here we confirm the mutually-exclusive expressions of Nav1.1 and Nav1.2 and the absence of Nav1.1 in hippocampal excitatory neurons. We also show that Nav1.1 is expressed in inhibitory and a subpopulation of excitatory neurons not only in L5 but all layers of neocortex. By using neocortical excitatory projection neuron markers including FEZF2 for L5 pyramidal tract (PT) and TBR1 for layer VI (L6) cortico-thalamic (CT) projection neurons, we further show that most L5 PT neurons and a minor subpopulation of layer II/III (L2/3) cortico-cortical (CC) neurons express Nav1.1 while the majority of L6 CT, L5/6 cortico-striatal (CS) and L2/3 CC neurons express Nav1.2. These observations now contribute to the elucidation of pathological neural circuits for diseases such as epilepsies and neurodevelopmental disorders caused bySCN1AandSCN2Amutations.
A DNA repair-independent role for alkyladenine DNA glycosylase in alkylation-induced unfolded protein response
Authors: Milano Larissa , Charlier Clara F. , Andreguetti Rafaela , Cox Thomas , Healing Eleanor , Thomé Marcos P. , Elliott Ruan M. , Samson Leona D. , Masson Jean-Yves , Lenz Guido , Henriques João Antonio P. , Nohturfft Axel , Meira Lisiane B. 
Published: March 2021

AbstractAlkylating agents damage DNA and proteins and are widely used in cancer chemotherapy. While the cellular responses to alkylation-induced DNA damage have been explored, knowledge of how alkylation damage affects global cellular stress responses is still sparse. Here, we examined the effects of the alkylating agent methylmethane sulfonate (MMS) on gene expression in mouse liver taking advantage of mice deficient in alkyladenine DNA glycosylase (Aag), the enzyme that initiates the repair of alkylated DNA bases. MMS induced a robust transcriptional response in wild-type liver that included markers of the endoplasmic reticulum (ER) stress/unfolded protein response (UPR) known to be controlled by the transcription factor XBP1, a key UPR effector. Importantly, this response is significantly reduced in theAagknockout. To investigate a potential role for AAG in alkylation-induced UPR, the expression of UPR markers after MMS treatment was interrogated in human glioblastoma cell lines expressing different AAG levels. Alkylation induced the UPR in cells expressing AAG; conversely,AAGknock-down compromised UPR induction and led to a defect in XBP1 activation plus a decrease in the expression of the ER chaperone BiP. To verify that the DNA repair activity of AAG is required for this response,AAGknockdown cells were complemented with wild-typeAagor with a mutant version of theAaggene producing a glycosylase-deficient AAG protein. As expected, the glycosylase-defective mutant Aag does not fully protectAAGknockdown cells against MMS-induced cytotoxicity. Remarkably, however, alkylation-induced XBP1 activation is fully complemented by the catalytically inactive AAG enzyme. This work establishes that, in addition to its enzymatic activity, AAG has non-canonical functions in alkylation-induced UPR that contribute to the overall cellular response to alkylation.Significance StatementStress response pathways, such as the DNA damage response (DDR) and the UPR, are critical in both the etiology and treatment of cancer and other chronic diseases. Knowledge of an interplay between ER stress and genome damage repair is emerging, but evidence linking defective DNA repair and impaired ER stress response is lacking. Here, we show that AAG is necessary for UPR activation in response to alkylating agents. AAG-deficient mice and human cancer cells are impaired in alkylation-induced UPR. Strikingly, this defect can be complemented by an AAG variant defective in glycosylase activity. Our studies suggest AAG has non-canonical functions and identify AAG as a point of convergence for stress response pathways. This knowledge could be explored to improve cancer treatment.
Layer-specific stimulations of parvalbumin-positive cortical interneurons in mice entrain brain rhythms to different frequencies
Authors: David François , Borel Mélodie , Ayub Suleman , Ruther Patrick , Gentet Luc J. 
Published: March 2021

AbstractNeocortical interneurons provide inhibition responsible for organizing neuronal activity into brain oscillations that subserve cognitive functions such as memory, attention or prediction. However, little is known about the interneuronal contribution to the entrainment of neocortical oscillations within and across different cortical layers. Here, using layer-specific optogenetic stimulations with micro-Light-Emitting Diode (µLED) arrays, directed toward parvalbumin-expressing (PV) interneurons in non-anesthetized awake mice, we found that supragranular layer stimulations of PV neurons were most efficient at entraining supragranular local field potential (LFP) oscillations at gamma frequencies (γ: 25 - 80 Hz), whereas infragranular layer stimulation of PV neurons better entrained the LFP at delta (δ: 2 - 5 Hz) and theta (θ: 6 - 10 Hz) frequencies.At the level of neuronal action potential activity, we observed that supragranular neurons better followed the imposed PV stimulation rhythm than their infragranular counterparts at most frequencies when the stimulation was delivered in their respective layer. Moreover, the neuronal entrainment evoked by local stimulation could propagate across layers, though with a lesser impact when the stimulation occurs in deep layers, suggesting an orientation-selective propagation. These results establish a layer-based framework for oscillation to entrain the primary somatosensory cortex in awake conditions.
An architecture as a code framework to manage documentation of IT projects
Authors: Gaie Christophe , Florat Bertrand , Morvan Steven 
Published: March 2021

PurposeIn the present article, the authors tackle the problem of IT documentation, which plays an important role in information technology (IT) project management.Design/methodology/approachThey provide a simple tool based on five complementary views, which should be detailed by the project team using a classic source code management platform.FindingsThe proposed tool is open source and may be reused by any IT team in various project contexts and heterogeneous development methods.Originality/valueThis research provides an operational framework, which facilitates IT project management and documentation. The framework is open source and may be easily downloaded by any other IT team.
A systematic review of machine learning-based missing value imputation techniques
Authors: Thomas Tressy , Rajabi Enayat 
Published: March 2021

PurposeThe primary aim of this study is to review the studies from different dimensions including type of methods, experimentation setup and evaluation metrics used in the novel approaches proposed for data imputation, particularly in the machine learning (ML) area. This ultimately provides an understanding about how well the proposed framework is evaluated and what type and ratio of missingness are addressed in the proposals. The review questions in this study are (1) what are the ML-based imputation methods studied and proposed during 2010–2020? (2) How the experimentation setup, characteristics of data sets and missingness are employed in these studies? (3) What metrics were used for the evaluation of imputation method?Design/methodology/approachThe review process went through the standard identification, screening and selection process. The initial search on electronic databases for missing value imputation (MVI) based on ML algorithms returned a large number of papers totaling at 2,883. Most of the papers at this stage were not exactly an MVI technique relevant to this study. The literature reviews are first scanned in the title for relevancy, and 306 literature reviews were identified as appropriate. Upon reviewing the abstract text, 151 literature reviews that are not eligible for this study are dropped. This resulted in 155 research papers suitable for full-text review. From this, 117 papers are used in assessment of the review questions.FindingsThis study shows that clustering- and instance-based algorithms are the most proposed MVI methods. Percentage of correct prediction (PCP) and root mean square error (RMSE) are most used evaluation metrics in these studies. For experimentation, majority of the studies sourced the data sets from publicly available data set repositories. A common approach is that the complete data set is set as baseline to evaluate the effectiveness of imputation on the test data sets with artificially induced missingness. The data set size and missingness ratio varied across the experimentations, while missing datatype and mechanism are pertaining to the capability of imputation. Computational expense is a concern, and experimentation using large data sets appears to be a challenge.Originality/valueIt is understood from the review that there is no single universal solution to missing data problem. Variants of ML approaches work well with the missingness based on the characteristics of the data set. Most of the methods reviewed lack generalization with regard to applicability. Another concern related to applicability is the complexity of the formulation and implementation of the algorithm. Imputations based on k-nearest neighbors (kNN) and clustering algorithms which are simple and easy to implement make it popular across various domains.
Municipal financial vulnerability in pandemic crises: a framework for analysis
Authors: Padovani Emanuele , Iacuzzi Silvia , Jorge Susana , Pimentel Liliana 
Published: March 2021

PurposeThis paper explores how global pandemic crises affect the financial vulnerability of municipalities.Design/methodology/approachThis paper is developed from the relevant literature an analytical framework to examine municipal financial vulnerability before a global pandemic crisis and in its immediate aftermath by mapping and systematizing its dimensions and sources. To illustrate how it can be used and evaluate its robustness and flexibility, such a tool was applied to Portugal and Italy, two countries that particularly suffered from the Covid-19 crisis.FindingsThe application of the analytical framework has shown how financially vulnerable municipalities are to global pandemic crises. Financial vulnerability relates to issues ranging from institutional design to internal financial conditions and the perception of the capacity to cope with a crisis. Results further reveal that vulnerability has an inherent contingent nature in time and space and can lead to paradoxical outcomes.Research limitations/implicationsThis paper provides a tool that can be useful for both academic and public policy purposes, to further appreciate municipal financial vulnerability, especially during crises.Practical implicationsMunicipalities can use the framework to better manage their financial vulnerability, strengthening their anticipatory and copying capacities, while oversight authorities can use it to help municipalities become less financially vulnerable or, at least, more aware of their financial vulnerability.Originality/valueMunicipal financial vulnerability to global shocks has not been explored extensively. Also, the Covid-19 pandemic is different from previous global crises as it affected society overnight with the implementation of lockdown and social distancing measures.
Selective laser sintering of bonded anisotropic permanent magnets using an in situ alignment fixture
Authors: Mapley Martin Christopher , Tansley Geoff , Pauls Jo P. , Gregory Shaun D. , Busch Andrew 
Published: March 2021

Purpose
Additive manufacturing (AM) techniques have been developed to rapidly produce custom designs from a multitude of materials. Bonded permanent magnets (PMs) have been produced via several AM techniques to allow for rapid manufacture of complex geometries. These magnets, however, tend to suffer from lower residual induction than the industry standard of injection moulding primarily due to the lower packing density of the magnetic particles and secondly due to the feedstock consisting of neodymium-iron-boron (Nd-Fe-B) powder with isotropic magnetic properties. As there is no compaction during most AM processes, increasing the packing density is very difficult and therefore the purpose of this study was to increase the magnetic properties of the PMs without increasing the part density.

Design/methodology/approach
Accordingly, this research investigates the use of anisotropic NdFeB feedstock coupled with an in-situ alignment fixture into an AM process known as selective laser sintering (SLS) to increase the magnetic properties of AM magnets. A Helmholtz coil array was added to an SLS machine and used to expose each powder layer during part fabrication to a near-uniform magnetic field of 20.4 mT prior to consolidation by the laser.

Findings
Permeagraph measurements of the parts showed that the alignment field introduced residual induction anisotropy of up to 46.4 ± 2.2% when measured in directions parallel and perpendicular to the alignment field. X-ray diffraction measurements also demonstrated a convergence of the orientation of the crystals when the magnets were processed in the presence of the alignment field.

Originality/value
A novel active alignment fixture for SLS was introduced and was experimentally shown to induce anisotropy in bonded PMs. Thus demonstrating a new method for the enhancement in energy density of PMs produced via AM methods.
Corporate Culture and Innovation: A Tale from an Emerging Market
Authors: Wang Yaopeng , Farag Hisham , Ahmad Wasim 
Published: March 2021

AbstractWe examine the influence of corporate culture on innovation using a unique set of data from Chinese listed companies over the period 2008–2017. Using the competing value framework, we quantify corporate culture using textual analysis of financial statements. We find a positive and significant impact of a creation culture on innovation measured by both patent applications and citations, as well as innovation efficiency. We address endogeneity concerns and conduct a battery of robustness tests, including alternative proxies for both corporate innovation and culture, and conclude that variations in culture have a significant impact on firm‐level innovation. We also show that a strong creation culture is more likely to spur innovation for firms in more competitive product markets and firms that are subject to higher managerial career concerns. We provide empirical evidence that corporate culture is an important driver in enhancing innovation. Our results have clear implications for directors and shareholders.
Corporate Responses to the Coronavirus Crisis and their Impact on Electronic‐Word‐of‐Mouth and Trust Recovery: Evidence from Social Media
Authors: Wang Yichuan , Zhang Minhao , Li Shuyang , McLeay Fraser , Gupta Suraksha 
Published: March 2021

AbstractThis study examines how corporate responses to service failure, caused by the coronavirus (COVID‐19) crisis, influence electronic‐word‐of‐mouth (E‐WoM) and trust recovery around lockdown, using multiple data sources. A dataset of 398 valid COVID‐19 announcements from 50 UK food retailers posted on the social media platform Twitter, and 21,960 consumer comments associated with these announcements, are analysed using content analysis and social media analytics, respectively. In Study 1, we test the effects of corporate crisis response strategy (defensive vs. offensive) and response framing (emotional vs. rational) on consumer E‐WoM (measured as ‘consumer sentiment’). The results reveal that using a defensive corporate response strategy with emotionally framed announcements leads to more positive consumer E‐WoM. In Study 2, we advance the findings of Study 1 using a vignette‐based experimental design to examine how social media announcements made by food retailing brands influence consumers’ trust recovery. We find that consumer trust recovers significantly when corporate COVID‐19 responses are framed in an emotional manner. By drawing upon signalling theory, this study makes an important contribution to public health crisis communication and service failure literature by demystifying consumers’ reactions towards corporate crisis responses amid a pandemic.
Is Higher Education Making Students Dumb and Dumber?
Authors: Friedman Hershey H. 
Published: March 2021

AbstractThis article examines what colleges and universities have to do if they wish to remain relevant. Many students graduating college today lack critical thinking skills. One reason for this is that academic faculty themselves lack some important skills, which include: 1) an appreciation of uncertainty; 2) respect for other disciplines; and 3) an understanding of what true diversity is all about. All of these require humility, which is not valued enough in academe.
Education Crisis, Workforce Preparedness, and COVID‐19: Reflections and Recommendations
Authors: Krishnamoorthy Raghu , Keating Keith 
Published: March 2021

AbstractThis article explores the impact of COVID‐19 on the higher education crisis and its implications for workforce preparedness and the future of work. It takes an integrative look at the evolving role of three primary actors involved in higher education: traditional universities, corporate universities, and educational technology companies, before, during, and after the pandemic. We conclude with recommendations for reframing discussions about higher education and workforce preparation to achieve a better balance between the workforce needs of the corporate world and those of society.
Prospects for personalization of depression treatment with genome sequencing
Authors: Borczyk Malgorzata , Piechota Marcin , Rodriguez Parkitna Jan , Korostynski Michal 
Published: March 2021

The effectiveness of antidepressants in the treatment of major depressive disorder varies considerably between patients. With these interindividual differences and a number of antidepressants to choose from, the first choice of treatment often fails to produce improvement in the patient's condition. A substantial part of the variation in response to antidepressants can be explained by genetic factors. Accordingly, variants related to drug metabolism in two pharmacogenes, CYP2D6 and CYP2C19, have already been translated into guidelines for antidepressant prescriptions. The role of variants in other genes that influence antidepressant responses is not yet understood. Furthermore, rare and individual variants account for a substantial part of genetic differences in antidepressant efficacy. Recent years have brought a tremendous increase in the accessibility of genome sequencing in terms of data availability and its clinical use. In this review, we summarize recent developments and current issues in the personalization of major depressive disorder treatment through pharmacogenomics.LINKED ARTICLESThis article is part of a themed issue on New discoveries and perspectives in mental and pain disorders. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v179.17/issuetoc
Triptolide prevents LPS‐induced skeletal muscle atrophy via inhibiting NF‐κB/TNF‐α and regulating protein synthesis/degradation pathway
Authors: Fang Wei‐Yu , Tseng Yu‐Ting , Lee Tzu‐Ying , Fu Yin‐Chih , Chang Wan‐Hsuan , Lo Wan‐Wen , Lin Chih‐Lung , Lo Yi‐Ching 
Published: March 2021

Background and PurposeIncreasing evidence suggests systemic inflammation‐caused skeletal muscle atrophy as a major clinical feature of cachexia. Triptolide obtained from Tripterygium wilfordii Hook F possesses potent anti‐inflammatory and immunosuppressive effects. The present study aims to evaluate the protective effects and molecular mechanisms of triptolide on inflammation‐induced skeletal muscle atrophy.Experimental ApproachThe effects of triptolide on skeletal muscle atrophy were investigated in LPS‐treated C2C12 myotubes and C57BL/6 mice. Protein expressions and mRNA levels were analysed by western blot and qPCR, respectively. Skeletal muscle mass, volume and strength were measured by histological analysis, micro‐CT and grip strength, respectively. Locomotor activity was measured using the open field test.KEY RESULTSTriptolide (10–100 fM) up‐regulated protein synthesis signals (IGF‐1/p‐IGF‐1R/IRS‐1/p‐Akt/p‐mTOR) and down‐regulated protein degradation signal atrogin‐1 in C2C12 myotubes. In LPS (100 ng·ml−1)‐treated C2C12 myotubes, triptolide up‐regulated MyHC, IGF‐1, p‐IGF‐1R, IRS‐1 and p‐Akt. Triptolide also down‐regulated ubiquitin‐proteasome molecules (n‐FoxO3a/atrogin‐1/MuRF1), proteasome activity, autophagy‐lysosomal molecules (LC3‐II/LC3‐I and Bnip3) and inflammatory mediators (NF‐κB, Cox‐2, NLRP3, IL‐1β and TNF‐α). However, AG1024, an IGF‐1R inhibitor, suppressed triptolide‐mediated effects on MyHC, myotube diameter, MuRF1 and p62 in LPS‐treated C2C12 myotubes. In LPS (1 mg·kg−1, i.p.)‐challenged mice, triptolide (5 and 20 μg·kg−1·day−1, i.p.) decreased plasma TNF‐α levels and it increased skeletal muscle volume, cross‐sectional area of myofibers, weights of the gastrocnemius and tibialis anterior muscles, forelimb grip strength and locomotion.Conclusions and ImplicationsThese findings reveal that triptolide prevented LPS‐induced inflammation and skeletal muscle atrophy and have implications for the discovery of novel agents for preventing muscle wasting.
Primary cutaneous follicle center lymphoma with extensive plasmacytic differentiation and t(14;18) in both the lymphoid and plasma cell components
Authors: Kelley Justin T. , Brown Noah A. , Hristov Alexandra C. , Bresler Scott C. 
Published: March 2021

AbstractPrimary cutaneous follicle center lymphoma (PCFCL) is the most common cutaneous B‐cell lymphoma. The typical immunophenotype includes expression of both CD20 and BCL6, with the majority of cases lacking expression of CD10, BCL2, and the characteristic t(14;18)/IGH‐BCL2 rearrangement seen in systemic follicular lymphoma (FL). Plasmacytic differentiation (PD) is an uncommon finding in both systemic and cutaneous FLs and presents a diagnostic challenge when present, leading to the potential for misdiagnosis as marginal zone lymphoma (MZL). Limited reports have described light chain restriction in the plasma cell component of FLs with PD, and rare cases of PCFCL with PD have been described. While the IGH‐BCL2 translocation has been identified in a subset of FLs with PD, the presence of the BCL2 translocation in monotypic plasma cells of PCFCL has not been previously described to our knowledge. Here, we report a case of PCFCL with extensive PD in a 77‐year‐old woman that was favored to represent primary cutaneous MZL on an initial punch biopsy. Excisional biopsy, however, revealed that the atypical lymphocytes expressed CD10, BCL6, and BCL2, while the plasma cell component demonstrated light‐chain lambda restriction. FISH studies showed the presence of an IGH‐BCL2 translocation in both the lymphocytic and plasmacytic components.