bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intraoperative Near-infrared Imaging Can Identify Neoplasms and Aid in Real-time Margin Assessment During Pancreatic Resection
Authors: Newton Andrew D. , Predina Jarrod D. , Shin Michael H. , Frenzel-Sulyok Lydia G. , Vollmer Charles M. , Drebin Jeffrey A. , Singhal Sunil , Lee Major K. 
Published: January 2019

Objective:
To determine if intraoperative near-infrared (NIR) imaging carries benefit in resection of pancreatic neoplasms.

Background:
Resection of pancreatic malignancies is hindered by high rates of local and distant recurrence from positive margins and unrecognized metastases. Improved tumor visualization could improve outcomes. We hypothesized that intraoperative NIR imaging with a clinically approved optical contrast agent could serve as a useful adjunct in assessing margins and extent of disease during pancreatic resections.

Methods:
Twenty patients were enrolled in an open-label clinical trial from July 2016 to May 2018. Subjects received second window indocyanine green (ICG) (2.5–5 mg/kg) 24 hours prior to pancreatic resection. NIR imaging was performed during staging laparoscopy and after pancreas mobilization in situ and following resection ex vivo. Tumor fluorescence was quantified using tumor-to-background ratio (TBR). Fluorescence at the specimen margin was compared to pathology evaluation.

Results:
Procedures included 9 pancreaticoduodenectomies, 10 distal pancreatectomies, and 1 total pancreatectomy; 21 total specimens were obtained. Three out of 8 noninvasive tumors were fluorescent (mean TBR 2.59 ± 2.57). Twelve out of 13 invasive malignancies (n = 12 pancreatic adenocarcinoma, n = 1 cholangiocarcinoma) were fluorescent (mean TBR 4.42 ± 2.91). Fluorescence at the transection margin correlated with final pathologic assessment in 12 of 13 patients. Following neoadjuvant therapy, 4 of 5 tumors were fluorescent; these 4 tumors showed no treatment response on pathology assessment. One tumor had a significant treatment response and showed no fluorescence.

Conclusions:
Second window ICG reliably accumulates in invasive pancreatic malignancies and provides real-time feedback during pancreatectomy. NIR imaging may help to assess the response to neoadjuvant therapy.
Resting-state fMRI Signals of Intelligent People Wander in a Larger Space
Authors: Dizaji Aslan S , Khodaei Mohammad-Reza , Soltanian-Zadeh Hamid 
Published: January 2019

ABSTRACTNatural intelligence is one of the vastly explored research areas in cognitive science. Its evolution and manifestation through behavioral patterns in animal kingdom have been extensively investigated. Since early days of cognitive sciences, there have been considerable efforts to simulate intelligent behaviors through high-level cognitive models. In the framework of the computational theory of mind, production systems are top-down models which simulate intelligent behaviors by invoking their behavioral manifestations. These models describe an intelligent behavior as structured mental programming which decomposes a complex task into simpler independent parts, each one represented by a cognitive enclosure where attention is sequentially devoted, and finally the information obtained from all cognitive enclosures is integrated to accomplish the task. In this article, we investigate the relations between these models of intelligence and resting-state fMRI signals. Based on these models, we hypothesize that the capacity of distinct mental representations is the core feature of intelligent behaviors. Therefore, we reason that resting-state fMRI signals of intelligent individuals wander in a larger space and can be divided to more well-separated independent components. This may be interpreted as the functional equivalence of one of the most celebrated structural correlates of intelligence, its positive association with the total brain volume. In the general framework of topological data analysis, using a well-established non-linear dimensionality reduction method, we show that indeed resting-state fMRI signals of intelligent individuals occupy a larger space and can be divided to more well-separated components with less connections in the reduced two-dimensional space. To our knowledge, this is the first attempt to relate the functional space of resting-state fMRI signals with the behavioral signatures of the human intelligence.
Systems Analysis of Subjects Acutely Infected with Chikungunya Virus
Authors: Soares-Schanoski Alessandra , Cruz Natália Baptista , Castro-Jorge Luíza Antunes de , de Carvalho Renan Villanova Homem , dos Santos Cliomar Alves , Rós Nancy da , Oliveira Úrsula , Costa Danuza Duarte , dos Santos Cecília Luíza Simões , Passos Cunha Marielton dos , Sarno Oliveira Maria Leonor , Alves Juliana Cardoso , Lucena Couto Océa Regina Adalva de , Ribeiro Danielle Rodrigues , Aquime Gonçalves André Nicolau , Gonzalez Patricia , Suhrbier Andreas , Andrade Zanotto Paolo Marinho de , de Azevedo Inácio Junqueira , Zamboni Dario S. , Almeida Roque Pacheco , Ho Paulo Lee , Kalil Jorge , Nishiyama Milton Yutaka , Nakaya Helder I 
Published: January 2019

AbstractThe largest ever recorded epidemic of the chikungunya virus (CHIKV) began in 2004 and affected four continents. Acute symptomatic infections are typically associated with the onset of fever and often debilitating polyarthralgia/polyarthritis. In this study, a systems biology approach was used to analyze the blood transcriptomes of adults acutely infected with CHIKV. Gene signatures that were associated with viral RNA amounts and to the onset of symptoms were identified. Among those genes, the putative role of Eukaryotic Initiation Factor (eIF) family genes and apolipoprotein B mRNA editing catalytic polypeptide-like (APOBEC3A) in the CHIKV replication process were displayed. We further compared these signatures with those induced by dengue virus infection and rheumatoid arthritis. Finally, we demonstrated that CHIKV infection in mice induced IL-1 beta production in a mechanism highly dependent on the inflammasome NLRP3 activation. The findings provided valuable insights into the virus–host interactions during the acute phase and could be useful in the investigation of new and effective therapeutic interventions.
Environmental selection and spatiotemporal structure of a major group of soil protists (Rhizaria: Cercozoa) in a temperate grassland
Authors: Fiore-Donno Anna Maria , Richter-Heitmann Tim , Degrune Florine , Dumack Kenneth , Regan Kathleen M. , Mahran Sven , Boeddinghaus Runa S. , Rillig Matthias C. , Friedrich Michael W. , Kandeler Ellen , Bonkowski Michael 
Published: January 2019

AbstractSoil protists are increasingly appreciated as essential components of soil foodwebs; however, there is a dearth of information on the factors structuring their communities. Here we investigate the importance of different biotic and abiotic factors as key drivers of spatial and seasonal distribution of protistan communities. We conducted an intensive survey of a 10m2 grassland plot in Germany, focusing on a major group of protists, the Cercozoa. From 177 soil samples, collected from April to November, we obtained 694 Operational Taxonomy Units representing >6 million Illumina reads. All major cercozoan groups were present, dominated by the small flagellates of the Glissomonadida. We found evidence of environmental filtering structuring the cercozoan communities both spatially and seasonally. Spatial analyses indicated that communities were correlated within a range of four meters. Seasonal variations of bactevirores and bacteria, and that of omnivores after a time-lapse, suggested a dynamic prey-predator succession. The most influential edaphic properties were moisture and clay content, which differentially affected each functional group. Our study is based on an intense sampling of protists at a small scale, thus providing a detailed description of the niches occupied by different taxa/functional groups and the ecological processes involved.
Divergent mutational processes distinguish hypoxic and normoxic tumours
Authors: Bhandari Vinayak , Li Constance H. , Bristow Robert G. , Boutros Paul C. ,   on behalf of the PCAWG Network
Published: January 2019

AbstractMany primary tumours have low levels of molecular oxygen (hypoxia). Hypoxic tumours are more likely to metastasize to distant sites and respond poorly to multiple therapies. Surprisingly, then, the pan-cancer molecular hallmarks of tumour hypoxia remain poorly understood, with limited understanding of its associations with specific mutational processes, non-coding driver genes and evolutionary features. To fill this gap, we quantified hypoxia in 1,188 tumours spanning 27 cancer types. We show that elevated hypoxia is associated with increased mutational load across cancers, irrespective of the underlying mutational class. The proportion of mutations attributed to several mutational signatures of unknown aetiology are directly associated with the level of hypoxia, suggesting underlying mutational processes for these signatures. At the gene level, driver mutations in TP53, MYC and PTEN are enriched in tumours with high hypoxia, and mutations in PTEN interact with hypoxia to direct the evolutionary trajectory of tumours. Overall, this work demonstrates that hypoxia plays a critical role in shaping the genomic landscape of cancer.
Accurate prediction of bacterial two-component signaling with a deep recurrent neural network ORAKLE
Authors: Balewski Jan , Hallberg Zachary F. 
Published: January 2019

AbstractTwo-component systems (2CS) are a primary method that bacteria use to detect and respond to environmental stimuli. Receptor histidine kinases (HK) detect an environmental signal, activating the appropriate response regulator (RR). Genes for such cognate HK-RR pairs are often located proximally on the chromosome, allowing easier identification of the target for a particular signal. However, almost half of all HK and RR proteins are orphans, with no nearby partner, complicating identification of the proteins that respond to a particular signal. To address this problem, we trained a neural network on the amino acid sequences of known 2CS pairs. Next, we developed a recommender algorithm that ranks a set of HKs for an arbitrary fixed RR and arbitrary species whose amino acid sequences are known. The recommender strongly favors known 2CS pairs, and correctly selects orphan pairs in Escherichia coli. We expect that use of these results will permit rapid discovery of orphan HK-RR pairs.
Optimization of inventory policies of food grain distribution stage in public distribution system
Authors: Ambekar Sudhir , Kapoor Rohit 
Published: January 2019

Purpose
The purpose of this paper is to model the distribution stage of the public distribution system (PDS) and optimize the inventory policy during this stage of the PDS to address some of the inefficiencies present in the system. This study models this supply chain as a multistage supply chain consisting of storage depots, issue centers, fair price shops and card holders.

Design/methodology/approach
A two-stage modeling approach is used to model the distribution stage in the PDS. In the first stage, the authors developed a simulation model for periodic review-based stock policy with appropriate assumptions. This helped minimize the total supply chain cost (TSCC). The TSCC consists of three cost elements, namely, ordering cost, holding cost and shortage cost. These three cost elements, in turn, depend on inventory policy parameters, such as review periods and base stock levels, at various echelons. In the second stage, a Genetic Algorithm based optimization approach was used.

Findings
A set of optimal policy parameters was identified. It is observed that base stock levels at issue centers are higher as compared to those in the FPS and the TSCC is less in scenario, when backorder cost is equal to the holding cost.

Practical implications
Present study will be useful to policy makers in improving PDS performance. This optimization of inventory policies helps actors in the PDS supply chain to choose appropriate policy parameters in the present inventory policy so as to reduce the overall distribution cost.

Originality/value
Unlike the previous researchers who examined the PDS from the social security perspective and tried to address specific problems to improve functioning of the PDS, this study looked at the problem as a supply chain-related problem and optimized the inventory parameters in one of the subsets of the PDS supply chain.
Lean Six Sigma in the power sector: frog into prince
Authors: Sony Michael 
Published: January 2019

Purpose
Lean Six Sigma is a most widely used technique in quality management. In manufacturing and service industries, this technique is used for process excellence. In the power sector, there has been hardly any study on the usage of LSS. Can LSS transform the ailing power sector organization from frog into princes? The purpose of this paper is to explore LSS impact on the power sector.

Design/methodology/approach
A multiple case study approach is followed. Five cases, one each from the generation, the transmission and three from distribution companies are studied based on the rationale of theoretical sampling.

Findings
LSS is an important methodology that can be used in generation, transmission and distribution of electricity energy to drive out inefficiency and improve customer satisfaction, profits, etc. In addition, the success stories of all five cases suggest the sustainable economic benefit to the organization due to the implementation of LSS.

Research limitations/implications
This study intends to make an academic contribution to the pertinence of LSS in the power sector. The multiple case study approach is used on a theoretical sample of power utilities in India. This study will provide the theoretical contribution for LSS. In addition, this study will help the practitioner and managers to effectively implement LSS, especially in the power sector.

Practical implications
This study can be used by power sector organizations to implement LSS. A special section on implication for practice is added so that organization can make use of it while implementing LSS in the power sector.

Originality/value
Power is one of the most important infrastructures for the development of a country. In a developing country, the power sector is ailing; the application of LSS can transform the power sector by driving out inefficiency, waste and variation. It will not only prove to be a boon to utilities, but it will also help the customer and society at large. Consequently, it will help in reducing the power tariff, which in turn will make power financially accessible to all categories of consumers. In addition, the private investment in this sector will also improve, if power sectors appeal, to financiers as an efficient organization, compared to loss-making one organization, at present.
Linking universal network quality perception and change readiness
Authors: Hatjidis Dimitrios , Griffin Mamie , Younes Marylene 
Published: January 2019

PurposeThis paper aims to examine empirically, within the context of the public sector, in what way the overall quality perception of an individual’s network relationships at work affect the psychological condition known as change readiness. Moreover, the research examines whether tacit knowledge and organizational climate can have indirect effects on the relationship between universal network quality perception and change readiness.Design/methodology/approachThe data were collected through a self-reported survey from 105 individuals employed on a full-time basis by the government sector in Abu Dhabi, UAE. Using regression and mediation analysis, three hypotheses are tested relating to the direct effect of universal network quality perception and change readiness, accompanied by the indirect effects of tacit knowledge and organizational climate on the preceding relationship.FindingsThe results emanated from statistical analysis show that universal network quality perception has a positive association with change readiness, and tacit knowledge and organizational climate mediate significantly the relationship between the universal network quality perception and change readiness.Research limitations/implicationsConsidering the nature of the study, conclusions with regard to causality might not be that strong as the findings relevant to the dependent variable represented by change readiness are not based on longitudinal research and the sample comprises only local people with similar cultural background. Therefore, study conclusions may not be suitable for generalization.Practical implicationsThe mediating effects highlight the consideration of tacit knowledge and organizational climate as influential organizational mechanisms within the framework of a proactive change management practice due to their positive impact on the psychological uncertainty and lack of job content competencies that a change initiative might cause to employees and their behavioral reactions.Originality/valueThe paper reveals the role of universal network quality perception as a conduit of positive social influence on change readiness. This role becomes significantly elastic when tacit knowledge and organizational climate become notable links of relationship quality because of their ability to trigger favorable psychosocial behavioral patterns toward organizational change. Furthermore, this study expands the literature on organizational change readiness factors in the UAE, for which few studies currently exist.
What is a good worker? Non-cognitive skills and trade microenterprises’ success
Authors: Alva Edgar P. 
Published: January 2019

Purpose
The purpose of this paper is to identify the principal qualities that define a good worker for microenterprises of the trade sector according to the contemporary literature of the human capital and associated with the Big Five personality traits. It also determines the effect of those skills over the success of trade microenterprises in the context of a developing country.

Design/methodology/approach
A total of 393 owners/managers of microenterprises located in six trade zones of Lima district in Peru were involved in this study. They were randomly selected and asked to answer a survey of perceptions about the microenterprise’s performance and workers’ behavior.

Findings
The results demonstrate that workers that possess mainly non-cognitive skills would be considered as good workers for trade microenterprises. These skills are associated with four of the Big Five personality traits: extraversion, agreeableness, openness or autonomy and conscientiousness. Also, the results show that punctuality, honesty and assertiveness, associated with the traits such as extraversion, agreeableness and conscientiousness, are the principal non-cognitive skills that impact positively over microenterprises’ success.

Research limitations/implications
The performance of workers is only based on owners/managers’ perceptions.

Practical implications
The owners/managers’ role is important to help workers to develop the necessary skills that can contribute to the microenterprise. In that sense, if the direct contact that exists between them is leveraged, owners/managers could implement strategies such as mentoring to promote the personal and professional growth of their workers.

Originality/value
This study provides useful information about how specific non-cognitive skills of workers can contribute to the success of trade microenterprises in developing countries like Peru.
Board monitoring, product market competition and firm performance
Authors: Singla Monika , Singh Shveta 
Published: January 2019

PurposeThis paper aims to analyze the monitoring role of board and product market competition in relation to firm performance. Further, this paper analyzes the moderating role of product market competition in influencing the board monitoring and firm value relationship in the context of an emerging economy, India.Design/methodology/approachA large sample of 3,854 firm-year observations has been used over a period of 10 years (2007-2016). Industry and year-fixed effect regression methodology has been used to test the hypothesized relationships.FindingsThe empirical findings indicate that board monitoring adds negatively to the firm value. The results also indicate that product market competition bears an insignificant moderating effect on the effectiveness of board monitoring in India. However, a more in-depth analysis reveals that product market competition complements the weak board monitoring of business-group firms. Further, the effectiveness of the board monitoring (which is relatively stronger in business-group firms) is weakened by the increased level of product market competition for stand-alone firms.Research limitations/implicationsA significant negative effect of board independence on the firm value raises the effectiveness of various policies advocating the board independence to strengthen the governance structure of the firms. The findings relating to the moderating role of product market competition for the business-group and stand-alone firms are helpful in understanding the governance behavior of the firms in relation to the external product market competition.Originality/valueExternal governance mechanisms such as the market for corporate control and product market competition have been described as significant corporate governance mechanisms. However, the empirical efficacy of these governance mechanisms has not been explored in a greater detail in the context of the emerging markets. This study aims to address this research gap.
Workplace spirituality in the public sector: a study of US water and wastewater agencies
Authors: Farmer Michele , Allen Stuart , Duncan Kathy , Alagaraja Meera 
Published: January 2019

PurposeThis paper aims to understand water and wastewater industry leaders’ perceptions of the current and future role of workplace spirituality, including the challenges and benefits of incorporating workplace spirituality in government utilities.Design/methodology/approachThe Delphi technique was used to gather input and gain consensus from an expert panel of executive level managers.FindingsThe panel achieved consensus that workplace spirituality is evident in a higher sense of purpose for those working in the water and wastewater industry which is likely to be the greatest future benefit of workplace spirituality in the industry. Other central themes included making a positive environmental impact, going beyond compliance, collaborating with the community, creating a connection to peers and encouraging organizational belonging. Consensus was also achieved regarding obstacles to workplace spirituality’s future role in the industry, including concerns about terminology and the need for supportive leadership.Practical implicationsThe water and wastewater industry face challenges including climate change, rising costs, aging infrastructure, increased regulatory requirements and a rapidly changing workforce. Workplace spirituality seems likely to support the industry in facing these challenges and can be promoted through encouraging a sense of purpose and meaning, collaborating with the community and recruiting individuals with resonant values and sense of calling.Originality/valueWorkplace spirituality has received growing attention in the private sector. However, workplace spirituality research in the public sector is minimal. This expert panel of top leaders from US water and wastewater agencies provide insight into the role of workplace spirituality in the public sector.