bluuebunny/crossref_metadata_2025_split huggingface dataset:
Updated estimates of comorbidities associated with risk for COVID-19 complications based on US data
Authors: Adams Mary L. , Grandpre Joseph , Katz David L. 
Published: May 2020

AbstractWe updated previous estimates (wwwnc.cdc.gov/eid/article/26/8/20-0679_article) of adults with any underlying condition increasing risk of complications from COVID-19 using recent US hospitalization data instead of mortality data from China. This substitutes obesity for cancer in the definition and increased the percentage of adults reporting ≥1 condition to 56.0% (95% CI 55.7-56.4). When controlled for all measures listed, factors increasing odds of reporting any of the underlying conditions include being male, older, African American, American Indian, household income <$25,000, < high school education, underinsurance, living in the South or Midwest (vs. West), plus the risk factors of ever smoking, sedentary lifestyle, and inadequate fruit and vegetable consumption. Population-attributable risk for the listed risk factors was 13.0%, 12.6%, and 15.0% respectively. Results have potential implications for policies based on risk-stratification of the population and for improvement of risk status through lifestyle change. National support for a “health promotion” campaign would be timely.
A Second Generation Leishmanization Vaccine with a Markerless AttenuatedLeishmania majorStrain using CRISPR gene editing
Authors: Zhang Wen Wei , Karmakar Subir , Gannavaram Sreenivas , Dey Ranadhir , Lypaczewski Patrick , Ismail Nevien , Siddiqui Abid , Simonyan Vahan , Oliveira Fabiano , Coutinho-Abreu Iliano V. , DeSouza-Vieira Thiago , Meneses Claudio , Oristian James , Serfim Tiago D. , Musa Abu , Nakamura Risa , Saljoughian Noushin , Volpedo Greta , Satoskar Monika , Satoskar Sanika , Dagur Pradeep K , McCoy J Philip , Kamhawi Shaden , Valenzuela Jesus G. , Hamano Shinjiro , Satoskar Abhay , Matlashewski Greg , Nakhasi Hira L. 
Published: May 2020

AbstractLeishmaniasis is a debilitating and often fatal neglected tropical disease caused byLeishmaniaprotozoa transmitted by infected sand flies. Vaccination through leishmanization with liveLeishmania majorhas been used successfully but is no longer practiced because it resulted in unacceptable skin lesions. A second generation leishmanization is described here using a CRISPR genome editedL. majorstrain (LmCen-/-). Notably,LmCen-/-is the first genetically engineered gene deletedLeishmaniastrain that is antibiotic resistant marker free and does not have any off-target mutations. Mice immunized withLmCen-/-had virtually no visible lesions following challenge withL. major-infected sand flies while non-immunized animals developed large and progressive lesions with a 2-log fold higher parasite burden.LmCen-/-immunization showed protection and an immune response comparable to leishmanization.LmCen-/-is safe since it was unable to cause disease even in immunocompromised mice, induces robust host protection against vector sand fly challenge and because it is marker free, can be advanced to human vaccine trials.
Duration analyses of precision agriculture technology adoption: what's influencing farmers' time-to-adoption decisions?
Authors: Ofori Eric , Griffin Terry , Yeager Elizabeth 
Published: May 2020

PurposePrecision technologies have been available at the farm level for decades. Some technologies have been readily adopted, while the adoption of other technologies has been slower. The purpose of this study is to examine the factors influencing farmers' time-to-adoption decisions as duration between year of commercialization of precision agriculture (PA) technologies and year of adoption, at the farm level.Design/methodology/approachTime-to-adoption, which is the difference in years between technologies becoming commercially available and the year of adoption was determined using non-parametric duration analysis, and the impact of specific farm/farmer characteristics on time-to-adoption were estimated using a semi-parametric Cox proportional-hazard (CPH) model, based on a panel dataset of 316 Kansas farms from 2002 to 2018.FindingsThe findings indicate that, time-to-adoption for embodied-knowledge technologies such as automated guidance and section control were statistically shorter than for information-intensive technologies such as yield monitors, precision soil sampling and variable rate fertility. Duration was indirectly (directly) proportional to commercialization date of embodied-knowledge (information-intensive) technology. More so, time-to-adoption statistically differed among technologies within these two broad categories. Time-to-adoption varies across farm location and between both types of technologies. Millennial farmers are more likely to adopt both types of technologies sooner compared to baby boomers. Net farm income, percentage changes in debt-to-asset ratio, corn to total crop acres and machinery investment had no significant impact on the time-to-adoption for both information-intensive and embodied-knowledge technologies. On the other hand, while variations exist, time-to-adoption of PA technologies is mainly driven by location of farm, generation of farmer, number of workers, years of farming experience, total acres cropped and the cost of crop insurance.Originality/valueThis study investigates how the financial position of farms, amongst other important factors might influence time-to-adoption of PA technologies. Results are useful to extension personnel and retailers for planning marketing or farm outreach programs taking into consideration that, time-to-adoption differs across regions and by specific characteristics, key amongst them: generation of farmer, number of workers, years of farming experience, total acres cropped and the cost of crop insurance.
A CMOS implementation of controller based all digital phase locked loop (ADPLL)
Authors: Balikai Vikas , Kittur Harish 
Published: May 2020

Purpose
Biomedical radio frequency (RF) transceivers require miniaturized forms with long battery life and low power consumption. The medical implant communication service (MICS) band in the frequency range of 402–405 MHz is widely used for medical RF transceivers because the MICS band signals have reasonable propagation characteristics and are suited to achieve good results. The implementation of the RF front-end for medical devices has many challenges as these dictate low power consumption. In particular, phase-locked loop is one of the most critical blocks of the RF front-end. The purpose of this paper is to the design of controller-based all-digital phase-locked loop (ADPLL) in a 45 nm CMOS process.

Design/methodology/approach
Initially, an open-loop architecture phase frequency detector (PFD) is designed. Then based on the concept of differential buffer, a differential ring oscillator (RO) is built using capacitive boosting technique. After that, the frequency controller block is built by proper mathematical modeling that does the job of loop filter, which behaves like a phase interpolator. Frequency controller block has tuning register block, tuning word register. The tuning block is built using the Metal Oxide Semiconductor (MOS) caps. Finally, the integration of all the blocks is done and the ADPLL architecture that locks at 402 MHz is achieved.

Findings
The designed PFD is dead zone free that operates at 1 GHz. The differential RO oscillates at 495 MHz. The proposed ADPLL operates at 402 MHz with measured phase noise of −98.36 at 1-MHz offset. This ADPLL exhibits rms jitter of 4.626 ps with a total power consumption of 216.5 µW.

Research limitations/implications
A time to digital converter (TDC)-less controller-based low power ADPLL covering the MICS frequency band for biomedical applications has been designed in 45 nm/0.68 V CMOS technology. The ADPLL proposed in this draft uses differential oscillator with capacitively boosted technique which reduced the operating voltage to as low as 0.68 V. This ADPLL has a bandwidth of 20 kHz and works at reference frequency of 20 MHz consumed power of 216.5 µW, while generating an output frequency of 402 MHz. The tuning range is from 375 to 428 MHz. With the phase noise of −98.36 dbc/Hz at 1 MHz, a frequency controller block replaces the usage of TDC.

Social implications
The designed ADPLL will definitely pave way to greater research arena in the field of biomedical field. This ADPLL is a unique combination that combines electronics and biomedical field. The designed ADPLL is itself a broader application to biomedical field that will have a positive impact on the society.

Originality/value
The implementation of open-loop PFD and RO using the capacitive boosting technique is a unique combination. This is comprehended well with frequency controller block that eliminates the usage of TDC and behaves as phase interpolator. The entire design of ADPLL which suits the application of MICS band of frequency has been designed carefully to work at low power.
Organizational climate and creative performance in the public sector
Authors: Mutonyi Barbara Rebecca , Slåtten Terje , Lien Gudbrand 
Published: May 2020

PurposeThe aim of this study is to examine the role of organizational climate in employees’ creative performance using the public sector as an empirical context. The employees’ creative performance is divided into two entities and studied as two separate effect variables: individual creativity and individual innovative behavior.Design/methodology/approachA conceptual model is developed and tested in a survey in which employees of a public sector organization participated.FindingsThe findings indicate that organizational climate has an important role in employees’ creative performance. The organizational climate showed a positive and significant link to the two creative performance variables included in this study. Moreover, the study revealed that individual creativity mediates the relationship between organizational climate and individual innovative behavior.Research limitations/implicationsThis paper is limited to examining the role of organizational climate on two creative performance variables related to individual employees in the public sector. To trigger individual creativity and individual innovative behavior in the public sector, there is a need for managers to build, develop and maintain an organizational climate that supports both employees’ creativity and enthusiasm in implementing those novel and useful ideas.Originality/valueTo the best of the authors’ knowledge, this study is among the first in the public sector to demonstrate the importance of organizational climate for employees’ individual creative performance. The findings of this study adds to our current knowledge and understanding of the value of organizational climate, and its influence on individual creative performance in the public sector.
Innovation and market liquidity: the case of ADRs
Authors: Lobato Manuel , Rodriguez Javier , Romero Herminio 
Published: May 2020

Purpose
Patents and patent citations provide a solid signal to investors about a firm’s innovation agenda. This signal can be even more useful for investors demanding securities from foreign firms, given the asymmetric information and adverse selection risk they face. This study aims to examine the patenting activities in the USA performed by non-US companies that trade as American Depositary Receipts (ADRs) in US stock markets.

Design/methodology/approach
The authors examine the effect on the trading volume of a sample of ADRs following the publication of their first patent in the USA.

Findings
The results show that the publication of a first patent has no effect on the liquidity of these ADRs when compared with same-country ADRs without patents.

Originality/value
This study enriches the literature on the relation between innovation, information and the stock market.
Elements impacting the utilization expectation of various health-care apps in India: a study conducted on smartphone users
Authors: Chakraborty Debarun 
Published: May 2020

Purpose
This paper aims to find out the impact of seven important factors towards behavior intention on various health-care applications in India. The spectacular rise of uses of smart phones in India has introduced various mobile applications in the market. The mobile applications have become very useful and popular amongst the urban consumers due to several reasons such as reducing time, effort, money, etc. Health-care applications which are used in various smart phones are still in an infancy stage in India. Health-care applications have several advantages and facilities and consumers receive few alerts or suggestions for free. Though the health-care applications have various benefits for everyone, still people are less aware of the services they provide. Fewer studies have been done on this particular subject, and people may find the apps interesting if they understand the benefits of these applications.

Design/methodology/approach
This study aims to find out the impact of seven factors towards behavior intention on various health-care applications in India. The 331 samples have been chosen with the help of a structured questionnaire. The researcher has used stratified random sampling to collect the data for conducting the study, and the samples have been collected from four metro cities of India, namely, Kolkata, Mumbai, Delhi and Chennai. Exploratory factor analysis and multiple regression analysis have been conducted to find out the most influencing factor towards intention with SPSS v 21.

Findings
The result reveals that out of seven factors, perceived usefulness, enjoyment and time are the most influencing and significant factors towards utilization expectation. The other four variables, namely, cost, increased dependability, perceived ease of use and increased protection do not have a significant impact on the dependent variable. The paper has also revealed that marketers need to penetrate the market with some innovative marketing strategies. The findings of the study is providing the hint for implementing the strategies.

Originality/value
The study is unique in the context of a country like India where no such studies on this subject have been conducted before.
Relationship between big data analytics and organisational performance of the Technical University of Kenya and Strathmore University in Kenya
Authors: Kibe Lucy Wachera , Kwanya Tom , Owano Ashah 
Published: May 2020

Purpose
Big data analytics is a set of procedures and technologies that entails new forms of integration to uncover large unknown values from large data sets that are various, complex and of an immense scale. The use of big data analytics is generally considered to improve organisational performance. However, this depends on capabilities of different organisations to provide the resources required for big data analytics. This study aims to investigate the influence of big data analytics on organisational performance of Technical University of Kenya (TUK) and Strathmore University (SU).

Design/methodology/approach
This study was conducted as a mixed method research to enable a deep understanding of the concept. Primary data was collected through structured questionnaires and interviews with clientele and information communication technology staff from the TUK and SU, both in Nairobi, Kenya. Secondary data was collected through interviews and questionnaires. Data was analysed and presented using descriptive statistics.

Findings
The findings revealed that most of the variables of organisational performance such as innovativeness, creativeness, effectiveness, productiveness and efficiency are affected positively by conducting big data analytics in both institutions. The results demonstrate that the TUK showed a negative relationship between big data analytics and competiveness and profitability while SU showed a positive relationship between the two variables. In terms of regression analysis, the findings revealed that SU showed a good relationship between independent and dependant variables while the TUK had a weak influence.

Originality/value
This study is original in terms of its subject matter, scope and application.
Developing resilient graduates to be future workplace leaders
Authors: McQuillan Nikki , Wightman Christine , Moore Cathy , McMahon-Beattie Una , Farley Heather 
Published: May 2020

PurposeVocational higher education and skills are recognised as key factors in shaping an economy to adapt to fast-emerging business models that disrupt workplace behaviours. Employers require graduates to be “work-ready”, emphasising the need to demonstrate resilience, as a critical desired behaviour (CBI, 2019). This case study shares the integrated curriculum design, co-creation and operationalisation of “Graduate Transitions” workshops that were piloted in a compulsory final-year module across a number of programmes in a higher education institutions’ business faculty to enhance graduates “work readiness”.Design/methodology/approachThe collaboration and leadership thinking of industry professionals, academics and career consultants designed and co-created a workshop that enhances transitioning student resilience and prepares them for their future of work. Action research gathered data using a mixed-methods approach to evaluate student and stakeholder feedback.FindingsEvidence indicates that the workshops actively embed practical coping strategies for resilience and mindful leaders in transitioning graduates. It assures employers that employability and professional practice competencies are experienced by transitioning graduates entering the future workplace.Research limitations/implicationsLimitations to this research are clearly in the methodology and concentrating on the co-creation of an innovative curriculum design project instead of the tools to accurately evaluate the impact in a systematic manner. There was also limited time and resource to design a more sophisticated platform to collect data and analyse it with the imperative academic rigour required. Emphasis on piloting and operationalisation of the intervention, due to time and resource restrictions, also challenged the methodological design.Practical implicationsThe positive feedback from these workshops facilitated integration into the curriculum at an institution-wide level. This paper shares with the academic community of practice, the pedagogy and active learning design that could be customised within their own institution as an intervention to positively influence the new metrics underpinning graduate outcomes.Originality/valueThis pioneering curriculum design ensures that employability and professional practice competencies are experienced by graduates transitioning to the workplace.
Information security awareness in a developing country context: insights from the government sector in Saudi Arabia
Authors: AlMindeel Raneem , Martins Jorge Tiago 
Published: May 2020

PurposeThe purpose of this paper is to increase understanding of employee information security awareness in a government sector setting and illuminate the problems that public sector organisations in a developing context face when seeking to establish an information security awareness programme.Design/methodology/approachAn interpretive research design was followed to develop an empirically enriched understanding of information security awareness perceptions, aspirations, challenges and enablers in the context of Saudi Arabia as a developing country. The study adopts a single-case study approach, including face-to-face interviews with senior employees, as well as document analysis.FindingsThe paper theorises the importance of individual information security awareness, knowledge and behaviour and identifies a number of facilitating conditions: customisation to employee and organisational needs, interactivity, innovation, frequency, integration of both electronic and physical learning resources and rewarding the acquisition of in-depth security-related actionable knowledge.Originality/valueThis study is one of the first to examine information security awareness as a socio-technical process within a government sector organisation in a developing country context.
Linkage analysis using geographical proximity: a test of the efficacy of distance measures
Authors: Haginoya Shumpei , Hanayama Aiko , Koike Tamae 
Published: May 2020

Purpose
The purpose of this paper was to compare the accuracy of linking crimes using geographical proximity between three distance measures: Euclidean (distance measured by the length of a straight line between two locations), Manhattan (distance obtained by summing north-south distance and east-west distance) and the shortest route distances.

Design/methodology/approach
A total of 194 cases committed by 97 serial residential burglars in Aomori Prefecture in Japan between 2004 and 2015 were used in the present study. The Mann–Whitney U test was used to compare linked (two offenses committed by the same offender) and unlinked (two offenses committed by different offenders) pairs for each distance measure. Discrimination accuracy between linked and unlinked crime pairs was evaluated using area under the receiver operating characteristic curve (AUC).

Findings
The Mann–Whitney U test showed that the distances of the linked pairs were significantly shorter than those of the unlinked pairs for all distance measures. Comparison of the AUCs showed that the shortest route distance achieved significantly higher accuracy compared with the Euclidean distance, whereas there was no significant difference between the Euclidean and the Manhattan distance or between the Manhattan and the shortest route distance. These findings give partial support to the idea that distance measures taking the impact of environmental factors into consideration might be able to identify a crime series more accurately than Euclidean distances.

Research limitations/implications
Although the results suggested a difference between the Euclidean and the shortest route distance, it was small, and all distance measures resulted in outstanding AUC values, probably because of the ceiling effects. Further investigation that makes the same comparison in a narrower area is needed to avoid this potential inflation of discrimination accuracy.

Practical implications
The shortest route distance might contribute to improving the accuracy of crime linkage based on geographical proximity. However, further investigation is needed to recommend using the shortest route distance in practice. Given that the targeted area in the present study was relatively large, the findings may contribute especially to improve the accuracy of proactive comparative case analysis for estimating the whole picture of the distribution of serial crimes in the region by selecting more effective distance measure.

Social implications
Implications to improve the accuracy in linking crimes may contribute to assisting crime investigations and the earlier arrest of offenders.

Originality/value
The results of the present study provide an initial indication of the efficacy of using distance measures taking environmental factors into account.