bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictive Structured-Unstructured Interactions in EHR Models: A Case Study of Suicide Prediction
Authors: Bayramli Ilkin , Castro Victor , Barak-Corren Yuval , Madsen Emily M. , Nock Matthew K. , Smoller Jordan W. , Reis Ben Y. 
Published: August 2021

AbstractClinical risk prediction models powered by electronic health records (EHRs) are becoming increasingly widespread in clinical practice. With suicide-related mortality rates rising in recent years, it is becoming increasingly urgent to understand, predict, and prevent suicidal behavior. Here, we compare the predictive value of structured and unstructured EHR data for predicting suicide risk. We find that Naive Bayes Classifier (NBC) and Random Forest (RF) models trained on structured EHR data perform better than those based on unstructured EHR data. An NBC model trained on both structured and unstructured data yields similar performance (AUC = 0.743) to an NBC model trained on structured data alone (0.742, p = 0.668), while an RF model trained on both data types yields significantly better results (AUC = 0.903) than an RF model trained on structured data alone (0.887, p<0.001), likely due to the RF model’s ability to capture interactions between the two data types. To investigate these interactions, we propose and implement a general framework for identifying specific structured-unstructured feature pairs whose interactions differ between case and non-case cohorts, and thus have the potential to improve predictive performance and increase understanding of clinical risk. We find that such feature pairs tend to capture heterogeneous pairs of general concepts, rather than homogeneous pairs of specific concepts. These findings and this framework can be used to improve current and future EHR-based clinical modeling efforts.
Computational Prediction of Disease Detection and Insect Identification using Xception model
Authors: Cleetus Lidia , Raji Sukumar A , Hemalatha N 
Published: August 2021

AbstractIn this paper, a detection tool has been built for the detection and identification of the diseases and pests found in the crops at its earliest stage. For this, various deep learning architectures were experimented to see which one of those would help in building a more accurate and an efficient detection model. The deep learning architectures used in this study were Convolutional Neural Network, VGG16, InceptionV3, and Xception. VGG16, InceptionV3, and Xception are categorized as the pre-trained models based on CNN architecture. They follow the concept of transfer learning. Transfer learning is a technique which makes use of the learnings of the models previously trained on a base data and applies it to the present dataset. This is an efficient technique which gives us rapid results and improved performance. Two plant datasets have been used here for disease and insects. The results of the algorithms were then compared. Most successful one has been the Xception model which obtained 82.89 for disease and 77.9 for pests.
In situ N K-edge XANES study of iron, cobalt and nickel nitride thin films
Authors: Pandey Nidhi , Gupta Mukul , Phase D. M. , Gupta Ajay 
Published: August 2021

A prototype in situ X-ray absorption near-edge structure (XANES) system was developed to explore its sensitivity for ultra-thin films of iron-nitride (Fe-N), cobalt-nitride (Co-N) and nickel-nitride (Ni-N). They were grown using DC-magnetron sputtering in the presence of an N2 plasma atmosphere at the experimental station of the soft XAS beamline BL01 (Indus-2, RRCAT, India). XANES measurements were performed at the N K-edge in all three cases. It was found that the N K-edge spectral shape and intensity are greatly affected by increasing thickness and appear to be highly sensitive, especially in low-thickness regions. From a certain thickness of ∼1000 Å, however, samples exhibit a bulk-like behavior. On the basis of the obtained results, different growth stages were identified. Furthermore, the presence of a molecular N2 component in the ultra-thin regime (<100 Å) was also obtained in all three cases studied in this work. In essence, this prototype in situ system reveals that N K-edge XANES is a powerful technique for studying ultra-thin films, and the development of a dedicated in situ system can be effective in probing several phenomena that remain hitherto unexplored in such types of transition metal nitride thin films.
Measuring food inflation during the COVID-19 pandemic in real time using online data: a case study of Poland
Authors: Jaworski Krystian 
Published: August 2021

PurposeThe purpose of this study paper is to focus on developing novel ways to monitor an economy in real time during the COVID-19 pandemic. A fully automated framework is proposed for collecting and analyzing online food prices in Poland. This is important, as the COVID-19 outbreak in Europe in 2020 has led many governments to impose lockdowns that have prevented manual price data collection from food outlets. The study primarily addresses whether food price inflation can be accurately measured during the pandemic using only a laptop and Internet connection, without needing to rely on official statistics.Design/methodology/approachThe big data approach was adopted to track food price inflation in Poland. Using the web-scraping technique, daily price information about individual food and non-alcoholic beverage products sold in online stores was gathered.FindingsBased on raw online data, reliable estimates of monthly and annual food inflation were provided about 30 days before final official indexes were published.Originality/valueThis is the first paper to focus on measuring inflation in real time during the COVID-19 pandemic. Monthly and annual food price inflation are estimated in real time and updated daily, thereby improving previous forecasting solutions with weekly or monthly indicators. Using daily frequency price data deepens understanding of price developments and enables more timely detection of inflation trends, both of which are useful for policymakers and market participants. This study also provides a review of crucial issues regarding inflation that emerged during the COVID-19 pandemic.
Adoption of product lifecycle management in new product development: a case study of automotive organisation
Authors: Tanpure Ganesh , Yadav Vinod , Jain Rakesh , Soni Gunjan 
Published: August 2021

PurposeThe Product Lifecycle Management (PLM) system has found varieties of deployments in various domains of product-based industries. Current study aims to provide a framework for the adoption of PLM systems in manufacturing organizations to meet the actual requirements of industries.Design/methodology/approachFirst, a systematic review of extant literature was performed, and further, the case study approach is opted to study the process of New Product Development (NPD) in a manufacturing organization. Triangulation methodology was adopted wherein the interview results, actual observations, and authorized documentations were used to validate the result and provide conclusions.FindingsA conceptual framework and implementation architecture for PLM is derived. The complete ecosystem for digital footprint is mapped for New Product Development (NPD) activities.Practical implicationsThe study could be helpful for Techno-Functional Managers. For individuals with only functional/technical knowledge, additional training might be required to adopt the framework in actual practices.Originality/valueThe paper contributes to the existing literature by providing a framework and demonstrating the feasibility of implementation through the case study.
Research scholars and faculty members perception and participation in collection development of university libraries of Northern India – a comparative study
Authors: Singh Har , Mahajan Preeti 
Published: August 2021

Purpose
This study aims to investigate research scholars’ and faculty members’ perception, participation in collection development, satisfaction with the adequacy of the library collection and challenges faced during the recommendation of resources in selected university libraries of Northern India.

Design/methodology/approach
The data was collected with the help of a structured questionnaire from the research scholars and faculty members from all disciplines of five universities of Northern India. The comparison between the researchers and faculty members was carried out within the university, as well as across the universities. A total of 652 questionnaires were distributed, out of which 465 filled questionnaires were finally selected for data analysis. The collected data was analyzed with the help of SPSS and the hypotheses were tested using Chi-square (χ²) test.

Findings
The survey results found significant differences in awareness of collection development policy (CDP), as well as the recommendation of resources (i.e. textbooks, reference books, journals and magazines and non-book materials) between the research scholars and faculty members across the libraries. However, no significant difference was found between the opinion of the research scholars and faculty members on the adequacy of library collection across the libraries.

Research limitations/implications
The study was limited to five university libraries of North India which included Maharishi Dayanand University (Rohtak) and Kurukshetra University (Kurukshetra) from the State of Haryana Panjab University from Union Territory of Chandigarh and Punjabi University (Patiala) and Guru Nanak Dev University (Amritsar) from the state of Punjab.

Practical implications
The outcomes of this study will undoubtedly help the library authorities and management to understand the awareness of users (i.e. research scholars and faculty members) about the collection development process such as CDP of the library, kind of resources recommend, their assessment on adequacy of different kind of resources and their ultimate satisfaction from it.

Originality/value
The study is an extensive survey about the perception and participation of research scholars and faculty members in the collection development process of their respective libraries and indicates their satisfaction from the library collection.
Towards an improved understanding of participation in natural hazard early warning systems
Authors: Clegg Georgina , Haigh Richard , Amaratunga Dilanthi 
Published: August 2021

Purpose
The purpose of this paper is to improve the conceptual understanding of the process of participation in early warning systems (EWS) through a review of participatory EWS examples in the academic literature. Specifically, this paper asks: who is involved, what responsibilities do participants hold, what activities are they involved in, and what are the associated successes, issues and outcomes?

Design/methodology/approach
A total of 30 cases of participation in EWS documented in the academic literature were identified through online searches. Existing concepts in participation (power and responsibility, communication) and people-centred early warning (risk knowledge, monitoring and warning, communication and dissemination and response capability) were used to examine each paper.

Findings
Participation was found to take place through a range of activities across all elements of the EWS. Participation also varied in breadth of inclusion, ranging from the general public to selected volunteers. The majority of cases received support and facilitation from other actors, such as government and NGOs, but the extent of power and responsibility held by participants varied greatly within this. Common successes and issues associated with participatory EWS and the potential outcomes are presented, and the opportunities, challenges and gaps in knowledge are discussed.

Originality/value
This paper links participation and EWS literature to form a clearer conceptualisation of participation in EWS in support of future research in the field. It provides unique insights into who participates, their roles and relations with other actors and the outcomes of participation.
Assessing readiness for lean thinking in healthcare settings: the case for Oman
Authors: Sohal Amrik , de Vass Tharaka , Singh Prakash , Al Balushi Shahid , Al Hajri Abdullah Said , Al Farsi Yahya , Al Arbi Rashid 
Published: August 2021

PurposeHealthcare provision is costly, and patient expectations are increasing. Lean implemented within healthcare settings is one possible solution for dealing with this issue, with much of the current research in this respect mostly focused on developed countries. The research examines the applicability of lean in the healthcare sector of a developing country, specifically Oman.Design/methodology/approachInterviews were conducted with 32 individuals representing four public sector hospitals, along with two major hospital suppliers and the Ministry of Health. The readiness of lean thinking was assessed against seven criteria. Data were then analyzed thematically.FindingsThe authors found that Oman's healthcare sector is strong on leadership support, understanding value and customer groups, ability to undertake an end-to-end process view and engaging in the required training for lean. Interviewees showed awareness of the challenges, including aligning lean with the strategic agenda of healthcare settings, aligning measurement and reward systems to lean thinking and matching demand and capacity levels. The authors conclude that Oman's healthcare sector is ready for widespread application of lean, and if executed successfully, will generate strong strategic and operational outcomes.Originality/valueThis paper provides evidence of the applicability of lean in a very different context to the one that has been generally reported in the literature. The authors propose that lean thinking can be applied in countries and regions with similar cultural contexts such as the Middle East.
“What a lot of things I don’t need!”: consumption satiation, self-transcendence and consumer wisdom
Authors: Ganassali Stephane , Matysiewicz Justyna 
Published: August 2021

Purpose
The purpose of this study is to gain a better understanding of the conditions in which consumer wisdom emerges. Based on some theories of dynamic moral and needs development, the authors have designed a first model of consumer wisdom development process, taking consumption satiation (as a new concept) and self-transcendence as its possible antecedents.

Design/methodology/approach
An online survey was conducted that collected 800 responses from 2 European countries with different levels of maturity with regard to consumption: France and Poland.

Findings
The authors find that consumption satiation is positively and significantly correlated with self-transcendence. Self-transcendence is positively and significantly correlated with consumer wisdom. Age seems to be partly operating as a moderating variable.

Research limitations/implications
The findings confirm that the occurrence of consumer wisdom may be partly explained by a dynamic process based on previous consumption experiences, resulting in a certain level of consumption satiation and the concomitant development of self-transcendence needs.

Practical implications
Government bodies, consumer advocacy groups and possibly corporate actors in Europe could promote consumer wisdom not only as an idealistic and benevolent attitude but as a true sign of maturity, personal accomplishment, well-being and success.

Originality/value
This research work studies new antecedents of emerging consumer wisdom, outside personal values and socio-demographics. The authors define and identify “consumption satiation” as one promising stage in the development process of wise, responsible consumer attitudes and behaviors.
Understanding the ecologically conscious behaviors of status motivated millennials
Authors: Eastman Jacqueline Kilsheimer , Iyer Rajesh 
Published: August 2021

PurposeThis paper aims to test the relationship between millennials’ status motivation and their ecologically conscious consumer behavior (ECCB) and the mediating role of culture influencing this effect.Design/methodology/approachA panel of millennials was surveyed using established scales to measure their status motivation, cultural values and ECCB.FindingsThe findings demonstrate status motivation has a positive effect on millennials’ ECCB. The findings indicate that the cultural values of collectivism, power distance and masculinity mediate the relationship between status motivation and ECCB.Research limitations/implicationsThis study looked at responses from one generation, millennials, in one country, the USA.Practical implicationsStatus motivation can impact ECCB and cultural values mediate this relationship. Status motivation can directly impact ECCB, as well as work positively through the cultural values of collectivism and power distance and negatively through masculinity.Social implicationsThe results suggest ECCB for status-motivated millennials is driven by both status motivation and their collectivism, power distance and masculinity. To encourage millennials’ ECCB, public policymakers and marketers should emphasize the social influences of sustainable behaviors and how these behaviors make them stand out from others who are not sustainable and target those who view women as equal to men.Originality/valueThis research examines how millennials’ status motivations impact their ecologically conscious behaviors both directly and through the mediating role of cultural values. This research contributes by answering the call for looking at the influence of cultural values on environmental behaviors. It offers a possible reason for the mixed findings previously in the literature regarding status and sustainability by illustrating status motivations may work both directly and through cultural values in influencing ECCB. Thus, it is one of the first studies to demonstrate culture’s mediating effect in the area of sustainability.
Instructional leadership in a centralized and competitive educational system: a qualitative meta-synthesis of research from Turkey
Authors: Gümüş Sedat , Hallinger Philip , Cansoy Ramazan , Bellibaş Mehmet Şükrü 
Published: August 2021

PurposeThis study sought to provide an understanding of what a culturally contextualized model of instructional leadership looks like in Turkey, and how this differs from models disseminated in the USA.Design/methodology/approachThis study employed qualitative meta-synthesis to systematically review the full set of 22 qualitative studies of instructional leadership in Turkey. A systematic synthesis strategy was applied to code the findings from each study to develop broad themes that describe key domains of principal instructional leadership practice.FindingsThe results showed that instructional leadership of school principals in Turkey is composed of four main dimensions and ten subdimensions. The main dimensions include: (1) emphasis on national goals and competition, (2) maintaining the learning environment, (3) motivating and enabling teachers, and (4) monitoring program alignment and test results.Research limitations/implicationsWhile broad dimensions of instructional leadership described in the international literature are relevant in Turkey, some practices used to enact those dimensions appear poorly aligned with the institutional–cultural context of Turkish schools. Thus, findings from this study support the assertion that the specific practices used to measure, assess and practice instructional leadership must be adapted to the context of a specific society.Originality/valueThis paper contributes to international efforts to develop a globally validated knowledge base in educational leadership and management.
Risk analysis of construction of administration projects using Bayesian networks
Authors: Osama Mohammad , Sherif Aly , Badawy Mohamed 
Published: August 2021

Purpose
This paper aims to enlighten the importance of the risk management process which is considered as a major procedure to effectively handle the potential inherent risks in the construction industry. However, most traditional risk analysis techniques are based on theories that deal with each risk factor as an independent, which does not take into consideration the causal relationships between risk factors.

Design/methodology/approach
This study aspires to identify the overall risk of the administrative construction projects in Egypt and to recognize the most influencing risk factors through the project life cycle by using Bayesian belief networks (BBN). Through a review of the literature, 27 risk factors were identified and categorized as the most common risk factors in the construction industry. A structured questionnaire was performed to estimate the probability and severity of these risks. Through site visits and interviews with experts in the construction field, 200 valid questionnaires were collected. A risk analysis model was developed using BBNs, then the applicability of this model was verified using a case study in Egypt.

Findings
However, the outcome showed that critical risks that manipulate administrative construction projects in Egypt were corruption and bribery, contractor financial difficulties, force majeure, damage to the structure and defective material installation.

Practical implications
The proposed study presents the possibilities available to the project parties to obtain a better forecast of the project objectives, including the project duration, total project cost and the target quality by examining the causal relationships between project risks and project objectives.

Originality/value
This study aspires to identify the overall risk of the administrative construction projects in Egypt and to recognize the most influencing risk factors through the project life cycle by using BBNs.
Critical analysis of pandemic impact on AEC organizations: the COVID-19 case
Authors: King Sze Soon , Rahman Rahimi A. , Fauzi Muhammad Ashraf , Haron Ahmad Tarmizi 
Published: August 2021

PurposeThis study aims to investigate the interrelationships between COVID-19 pandemic impact and architectural, engineering and construction (AEC) organizations. To achieve that aim, the objectives are to: identify the critical pandemic impact (CPI) of COVID-19 on AEC organizations; compare the CPI between the different organization characteristics; and analyze the interrelationships between the CPI.Design/methodology/approachA systematic literature review of 519 articles and in-depth interviews with 40 AEC practitioners were carried out, yielding 12 COVID-19 impacts. Then, data on the 12 impact’s criticality were collected through a survey among AEC practitioners. In total, 127 valid responses were received and analyzed using mean ranking analysis, analysis of variance and Spearman’s correlation. The findings were also compared with pandemic impacts from prior works.FindingsFive CPI exist among the 12 impacts, namely, “reduced construction productivity,” “reduced foreign investment in the construction industry,” “reduced demand on construction-related works,” “disruption in the supply chain” and “reduced number of public projects.” “Reduced foreign investment in the construction industry” and “reduced demand on construction-related works” significantly impact small-medium enterprises than large enterprises. Also, “disruption in the supply chain” and “reduced construction productivity” are recurring impacts in all countries compared. Finally, moderate relationships exist between “reduced foreign investment in the construction industry” and “reduced demand on construction-related works” and “disruption in the supply chain” and “reduced construction productivity.”Originality/valueThe findings can be used to prioritize available resources in developing short-term responses for COVID-19. Also, action plans can be developed to mitigate the CPI from recurring.