bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing High-Affinity Decoy Receptor Optimized for Multiple Myeloma and Diffuse Large B Cell Lymphoma Treatment
Authors: Miao Yu Rebecca , Thakker Kaushik , Cenik Can , Jiang Dadi , Mizuno Kazue , Jia Chenjun , Li Caiyun Grace , Zhao Hongjuan , Diep Anh , Xu Jimmy Yu , Zhang Xin Eric , Chi Yang Teddy Tat , Liedtke Michaela , Abidi Parveen , Leung Wing-sze , Koong Albert C. , Giaccia Amato J. 
Published: May 2021

ABSTRACTRecent T Cell therapies have been effective in the treatment of hematological cancers. However, immunotoxicity and treatment relapse pose significant clinical challenges. Here, we revealed distinctive requirement for neutralizing TNF receptor ligands APRIL and BAFF in MM and DLBCL. Furthermore, we investigated the use of BCMA decoy receptor (sBCMA-Fc) as a therapeutic inhibitor of ARPIL and BAFF. While wild-type sBCMA-Fc successfully blocked APRIL signaling with picomolar binding affinity, inhibiting tumor growth in MM models, it lacked efficacy in inhibiting DLBCL progression due to its weak binding for BAFF. To expand the therapeutic utility of sBCMA-Fc, using a protein engineering approach, we generated an affinity enhanced mutant sBCMA-Fc fusion molecule (sBCMA-Fc V3) with 4-folds and 500-folds enhancement in binding to APRIL and BAFF respectively. The sBCMA-Fc V3 clone significantly enhanced antitumor activity against both MM and DLBCL. Importantly, sBCMA-Fc V3 was proven to be a viable clinical candidate by showing adequate toxicity profile and on-target mechanism of action in nonhuman primates.SUMMARYThis study demonstrates the dichotomous function of APRIL and BAFF in MM and DLBCL, that can be safely targeted by an engineered fusion protein designed to trap APRIL and BAFF with ultra-high binding affinity.
Differential regulation of developmental stages supports a linear model forC. eleganspostembryonic development
Authors: Mata-Cabana Alejandro , Romero-Expósito Francisco Javier , Geibel Mirjam , Piubeli Francine Amaral , Merrow Martha , Olmedo María 
Published: May 2021

SUMMARYThe repetitive nature ofC. eleganspostembryonic development is considered an oscillatory process, a concept that has gained traction from regulation by a circadian clock gene homolog. Nevertheless, each larval stage has a defined duration and entails specific events. We have measured the duration of each stage of development for over 2,500 larvae, under varied environmental conditions known to alter overall developmental rate. Our results show that distinct developmental stages respond differently to environmental perturbations, including changes in temperature, in food quantity and quality, and amount of insulin signaling. Furthermore, our high-resolution measurement of the effect of temperature on the stage-specific duration of development has unveiled novel features of temperature dependence inC. eleganspostembryonic development. Altogether, our results support a model of linear progression ofC. elegansdevelopment, with the duration of each stage determined by a unique program.
High arsenic levels increase activity rather than diversity or abundance of arsenic metabolism genes in paddy soils
Authors: Zhang Si-Yu , Xiao Xiao , Chen Song-Can , Zhu Yong-Guan , Sun Guo-Xin , Konstantinidis Konstantinos T. 
Published: May 2021

ABSTRACTArsenic (As) metabolism genes are generally present in soils but their diversity, relative abundance, and transcriptional activity in response to different As concentrations remain unclear, limiting our understanding of the microbial activities that control the fate of an important environmental pollutant. To address this issue, we applied metagenomics and metatranscriptomics to paddy soils showing a gradient of As concentrations to investigate As resistance genes (ars) includingarsR,acr3,arsB,arsC,arsM,arsI,arsP, andarsHas well as energy-generating As respiratory oxidation (aioA) and reduction (arrA) genes. Somewhat unexpectedly, the relative DNA abundances and diversity ofars,aioA, andarrAgenes were not significantly different between low and high (∼10 vs ∼100 mg kg-1) As soils. By comparison to available metagenomes from other soils, geographic distance rather than As levels drove the different compositions of microbial communities. Arsenic significantly increasedarsgenes abundance only when its concentration was higher than 410 mg kg-1. In contrast, between low and high As soils, metatranscriptomics revealed a significant increase in transcription ofarsandaioAgenes, which are induced by arsenite, the dominant As species in paddy soils, but notarrAgenes, which are induced by arsenate. These patterns appeared to be community-wide as opposed to taxon-specific. Collectively, our findings advance understanding of how microbes respond to high As levels and the diversity of As metabolism genes in paddy soils and indicated that future studies of As metabolism in soil, or other environments, should include the function (transcriptome) level.IMPORTANCEArsenic (As) is a toxic metalloid pervasively present in the environment. Microorganisms have evolved the capacity to metabolize As, and As metabolism genes are ubiquitously present in the environment even in the absence of high concentrations of As. However, these previous studies were carried out at the DNA level and thus, the activity of the As metabolism genes detected remains essentially speculative. Here, we show that the high As levels in paddy soils increased the transcriptional activity rather than the relative DNA abundance and diversity of As metabolism genes. These findings advance our understanding of how microbes respond to and cope with high As levels, and have implications for better monitoring and managing an important toxic metalloid in agricultural soils and possibly other ecosystems.
Biological complexity facilitates tuning of the neuronal parameter space
Authors: Schneider Marius , Bird Alexander D , Gidon Albert , Triesch Jochen , Jedlicka Peter , Cuntz Hermann 
Published: May 2021

AbstractThe electrical and computational properties of neurons in our brains are determined by a rich repertoire of membrane-spanning ion channels and elaborate dendritic trees. However, the precise reason for this inherent complexity remains unknown. Here, we generated large stochastic populations of biophysically realistic hippocampal granule cell models comparing those with all 15 ion channels to their reduced but functional counterparts containing only 5 ion channels. Strikingly, valid parameter combinations in the full models were more frequent and more stable in the face of perturbations to channel expression levels. Scaling up the numbers of ion channels artificially in the reduced models recovered these advantages confirming the key contribution of the actual number of ion channel types. We conclude that the diversity of ion channels gives a neuron greater flexibility and robustness to achieve target excitability.Significance statementOver the course of billions of years, evolution has led to a wide variety of biological systems. The emergence of the more complex among these seems surprising in the light of the high demands of searching for viable solutions in a correspondingly high-dimensional parameter space. In realistic neuron models with their inherently complex ion channel composition, we find a surprisingly large number of viable solutions when selecting parameters randomly. This effect is strongly reduced in models with fewer ion channel types but is recovered when inserting additional artificial ion channels. Because concepts from probability theory provide a plausible explanation for this improved distribution of valid model parameters, we propose that this may generalise to evolutionary selection in other complex biological systems.In briefStudying ion channel diversity in neuronal models we show how robust biological systems may evolve not despite but because of their complexity.Highlights15 channel model of hippocampal granule cells (GCs) reduces to 5 ion channels without loss of spiking behaviour.But knocking out ion channels can be compensated only in the full model.Random sampling leads to ~ 6% solutions in full but only ~ 1% in reduced model.Law of large numbers generalises our observations to other complex biological systems.
Impaired bidirectional communication between interneurons and oligodendrocyte precursor cells affects cognitive behavior
Authors: Fang Lipao , Zhao Na , Caudal Laura C. , Zhao Renping , Lin Ching-Hsin , Chang Hsin-Fang , Hainz Nadine , Meier Carola , Bettler Bernhard , Huang Wenhui , Scheller Anja , Kirchhoff Frank , Bai Xianshu 
Published: May 2021

AbstractCortical neural circuits are complex but very precise networks of balanced excitation and inhibition (E/I). Yet, the molecular and cellular mechanisms that form the E/I balance are just beginning to emerge. Here, using conditional GABABreceptor-deficient mice we identified a GABA/TNF-related cytokine (TNFSF12)-mediated bidirectional communication pathway between Parvalbumin-positive (PV+) fast spiking interneurons and oligodendrocyte precursor cells (OPCs) that determines the density and function of interneurons in the developing medial prefrontal cortex (mPFC). Interruption of the GABAergic signaling to OPCs resulted in reduced myelination and hypoactivity of interneurons, strong changes of cortical network activities and impaired cognitive behavior. In conclusion, glial transmitter receptors are pivotal elements in finetuning distinct brain functions.
An analysis of pollution Citizen Science projects from the perspective of Data Science and Open Science
Authors: Roman Dumitru , Reeves Neal , Gonzalez Esteban , Celino Irene , Abd El Kader Shady , Turk Philip , Soylu Ahmet , Corcho Oscar , Cedazo Raquel , Re Calegari Gloria , Scandolari Damiano , Simperl Elena 
Published: May 2021

PurposeCitizen Science – public participation in scientific projects – is becoming a global practice engaging volunteer participants, often non-scientists, with scientific research. Citizen Science is facing major challenges, such as quality and consistency, to reap open the full potential of its outputs and outcomes, including data, software and results. In this context, the principles put forth by Data Science and Open Science domains are essential for alleviating these challenges, which have been addressed at length in these domains. The purpose of this study is to explore the extent to which Citizen Science initiatives capitalise on Data Science and Open Science principles.Design/methodology/approachThe authors analysed 48 Citizen Science projects related to pollution and its effects. They compared each project against a set of Data Science and Open Science indicators, exploring how each project defines, collects, analyses and exploits data to present results and contribute to knowledge.FindingsThe results indicate several shortcomings with respect to commonly accepted Data Science principles, including lack of a clear definition of research problems and limited description of data management and analysis processes, and Open Science principles, including lack of the necessary contextual information for reusing project outcomes.Originality/valueIn the light of this analysis, the authors provide a set of guidelines and recommendations for better adoption of Data Science and Open Science principles in Citizen Science projects, and introduce a software tool to support this adoption, with a focus on preparation of data management plans in Citizen Science projects.
Four ways forward in studying sex-based harassment
Authors: Berdahl Jennifer , Bhattacharyya Barnini 
Published: May 2021

PurposeThe purpose of this paper is to identify promising themes of the papers in the special issues of Equality, Diversity and Inclusion dedicated to advancing scholarship on sex-based harassment.Design/methodology/approachA conceptual overview of the research pertaining to these themes and an analysis of the special issues papers' contributions to these themes.FindingsFour themes that represent important but relatively neglected lines of inquiry into sex-based harassment are identified. These are (1) the psychology of harassment, (2) organizational culture and networks, (3) the invisible majority and (4) the importance of collective action.Originality/valueThe paper offers an expert perspective on the state of research related to sex-based harassment and four themes that are important to moving it forward.
Hospital readmission prediction based on improved feature selection using grey relational analysis and LASSO
Authors: Miswan Nor Hamizah , Chan Chee Seng , Ng Chong Guan 
Published: May 2021

PurposeThis paper develops a robust hospital readmission prediction framework by combining the feature selection algorithm and machine learning (ML) classifiers. The improved feature selection is proposed by considering the uncertainty in patient's attributes that leads to the output variable.Design/methodology/approachFirst, data preprocessing is conducted which includes how raw data is managed. Second, the impactful features are selected through feature selection process. It started with calculating the relational grade of each patient towards readmission using grey relational analysis (GRA) and the grade is used as the target values for feature selection. Then, the influenced features are selected using the Least Absolute Shrinkage and Selection Operator (LASSO) method. This proposed method is termed as Grey-LASSO feature selection. The final task is the readmission prediction using ML classifiers.FindingsThe proposed method offered good performances with a minimum feature subset up to 54–65% discarded features. Multi-Layer Perceptron with Grey-LASSO gave the best performance.Research limitations/implicationsThe performance of Grey-LASSO is justified in two readmission datasets. Further research is required to examine the generalisability to other datasets.Originality/valueIn designing the feature selection algorithm, the selection on influenced input variables was based on the integration of GRA and LASSO. Specifically, GRA is a part of the grey system theory, which was employed to analyse the relation between systems under uncertain conditions. The LASSO approach was adopted due to its ability for sparse data representation.
Supply chain flexibility fit and green practices: evidence from the event industry
Authors: Yoo Joanne Jung-Eun , Cho Meehee 
Published: May 2021

PurposeAs the event industry is supported by a wide range of suppliers that provide different products and services, all these partners in the supply chain can play a crucial role in green practices. The industry needs to have a sufficient degree of supply chain flexibility to cater to the demands in today’s dynamic environment and the flexibility in the supply chain will help event businesses to be sustainable. This study aims to explore the role of the supply chain flexibility fit between event planner’s requirements and supplier offerings on the implementation of green practices. The study also attempted to provide insights into the adoption of green event practices by identifying the moderating roles of green organization image and public pressure.Design/methodology/approachData analysis was conducted based on 207 useable responses from event planners. Polynomial regression and response surface analysis were performed to verify the hypothesized relationships. Additionally, hierarchical regression analysis was used to test the moderating effects of green organization image and public pressure on the proposed relationships.FindingsResults revealed that product flexibility fit was positively related to green practices; however, such effect was not found in the volume flexibility fit model. Findings also showed that public pressure significantly improved the positive effect of product flexibility fit on green practices. However, the green organization image was found to have no significant moderating effect.Practical implicationsThe adoption of green practices requires well-designed collaboration among supply chain partners. This study offers empirical evidence regarding the importance of achieving product flexibility fit between event planners’ requirements and supplier offerings when conducting green practices. The findings provide useful implications that can be applied for successful green event management.Originality/valueDespite the significance and relevance of the topic, barely any study has been conducted to assess supply chain flexibility and its relationship with green event practices. The study adopted resource orchestration theory to examine the role of supply chain flexibility on green event practices by focusing on the planner-supplier flexibility fit. A number of implications regarding supply chain management and future research are identified.
Reconciling and reconceptualising servitization research: drawing on modularity, platforms, ecosystems, risk and governance to develop mid-range theory
Authors: Johnson Mark , Roehrich Jens K. , Chakkol Mehmet , Davies Andrew 
Published: May 2021

PurposeThis research bridges disparate research on servitization, namely product–service systems (PSS) and integrated solutions (IS), to provide valuable insights for the progression of the field. It acts as a reconciliation of these research streams and offers a reconceptualised agenda incorporating recent research on platforms, ecosystems, modularity, risk and governance as key conceptual themes to synthesise and build theory.Design/methodology/approachThis is a conceptual, theory development article focused on advancing thinking on servitization by identifying systematic and theoretically informed research themes. It also proposes future research opportunities to advance theoretical contributions and practical implications for servitization research.FindingsBy reviewing and synthesising extant PSS and IS research, this article identified five core themes – namely modularity, platforms, ecosystems, risks and governance. The importance of these five themes and their linkages to PSS and IS are examined and a theoretical framework with a future research agenda to advance servitization is proposed.Originality/valueThis paper considers the similarities and differences between PSS and IS in order to develop a theory and to reconcile formerly disparate research efforts by establishing linkages between core themes and identifying valuable synergies for scholars. The importance of the core themes and current gaps within and across these themes are shown, and a mid-range theory for servitization is positioned to bridge the servitization-related PSS and IS communities.
Locking out the virus: management of a SARS-CoV-2 outbreak in an Italian prison
Authors: Cerrato Ferdinando , Esposito Michele , Drusiani Agnese , Moi Iuri , Franciosi Eugenia , Assueri Nadialina , Campalastri Raffaella , Fioritti Angelo 
Published: May 2021

Purpose
In this paper, the authors present insights and findings drawn from the authors’ experiences of containing a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak in a large prison in northern Italy.Within penitentiaries, close-quarter living is ripe terrain for outbreaks of disease among detainees and staff. If left unchecked, these outbreaks can easily spill over the prison walls to threaten the general public. Moreover, these risks are heightened by preexisting environmental conditions, especially overcrowding. It is thus paramount to establish effective protocols for prevention, early detection and outbreak management. The purpose of this article is to document a strategy that been at least partially successful in reducing the damage that could potentially be caused by a sustained SARS-CoV-2 outbreak within a correctional facility.

Design/methodology/approach
The authors conducted a retrospective analysis on patients’ and health-care workers’ medical records to obtain demographic and clinical information. Descriptive data analysis was then carried out.

Findings
In total, the authors tested 453 people with oropharyngeal swabs from March 15, 2020, to June 30, 2020. Of these people, 58 were positive and 395 were negative, with a prevalence of 12.8%.Of the 453 patients, 60 were health workers: 24 tested positive for SARS-CoV2 ribonucleic acid (RNA); 18 developed symptoms; and three needed hospitalization.Among patients in detention, 34 resulted positive for SARS-CoV-2 RNA. Two were hospitalized and later died. Both had severe preexisting conditions; they were aged 76 and 59 years old, respectively.

Originality/value
In this study, the authors describe the design and effective implementation of prevention and containment measures against SARS-CoV-2 within the walls of a correctional facility. The authors describe how they rapidly created clean confinement sections to isolate cases in an environment designed for security at the expense of virus containment and how educational efforts have played a vital role in their strategy.
Impacts of marketing decisions on delivery performance and flexibility of the operations area
Authors: Finger Marcos Eduardo , Lacerda Daniel Pacheco , Camargo Luis Riehs , Piran Fábio Sartori , Cassel Ricardo Augusto , Morandi Maria Isabel Wolf Motta 
Published: May 2021

PurposeThe purpose of this paper is to investigate the relations in the Marketing/Operations interface through the analysis of data of the operational reality of a Brazilian company with a low technological intensity. The study aims to quantify and determine the impacts of marketing decisions on delivery performance and on flexibility of the operations area.Design/methodology/approachA longitudinal case study was conducted and the variables used in the model were derived from established theories and were evaluated with artificial neural networks. The case of a food manufacturing company was selected to reflect the relations in the marketing/operations interface of a low technological intensity enterprise.FindingsThe results show that the decisions on Place/Channel, Price and Product dimensions of marketing exert a significant impact on flexibility and delivery performance of the operation area.Research limitations/implicationsThe findings of the case study cannot be generalised and the outcomes are specific to just one firm. However, the approach lends itself to replication, particularly within low technological intensity companies.Originality/valuePrior studies have focussed on coordination among functional areas as marketing and operations at higher levels of abstraction. The study contemplate empirical propositions through the data analysis of a company with a low technological intensity that can be used to improve managers' decisions and alignment in the Marketing/Operation Interface.