bluuebunny/crossref_metadata_2025_split huggingface dataset:
Features extracted using tensor decomposition reflect the biological features of the temporal patterns of human blood multimodal metabolome
Authors: Fujita Suguru , Karasawa Yasuaki , Hironaka Ken-ichi , Taguchi Y-h. , Kuroda Shinya 
Published: May 2022

AbstractHigh-throughput omics technologies have enabled the profiling of entire biological systems. For the biological interpretation of such omics data, two analyses, hypothesis- and data-driven analyses including tensor decomposition, have been used. Both analyses have their own advantages and disadvantages and are mutually complementary; however, a direct comparison of these two analyses for omics data is poorly examined.We applied tensor decomposition (TD) to a dataset representing changes in the concentrations of 562 blood molecules at 14 time points in 20 healthy human subjects after ingestion of 75 g oral glucose. We characterized each molecule by individual dependence (constant/variable) and time dependence (sustained/transient). Three of the four features extracted by TD were characterized by our previous hypothesis-driven study, indicating that TD can extract some of the same features obtained by hypothesis-driven analysis in a non-biased manner. In contrast to the years taken for our previous hypothesis-driven analysis, the data-driven analysis in this study took days, indicating that TD can extract biological features in a non-biased manner without the time-consuming process of hypothesis generation.Author SummaryFor biological interpretation of lage-scale omics data, two analyses, hypothesis-driven analysis and data-driven analysis including tensor decomposition, have been used. These two analyses have their own advantages and disadvantages, and are mutually complementary. However, the direct comparison between these two analyses for omic data is poorly examined. In this study, we applied tensor decomposition to a dataset representing temporal changes in the human 562 blood molecules as data-driven analysis and extracted three features. We have previously analyzed the same data by hypothesis-driven analysis (Fujita et al., 2022). The three features extracted by the tensor decomposition are the same features extracted by the hypothesis-driven analysis, indicating that the tensor decomposition can extract the features in an unbiased manner. Although the same features can be extracted by the tensor decomposition and hypothesis-driven analysis, hypothesis-driven analysis in our earlier study took years (Fujita et al., 2022), while feature extraction by tensor decomposition took only days in this study. Thus, tensor decomposition can extract biological features in a non-biased manner without time-consuming process of hypothesis generation. We propose that tensor decomposition can be the first choice for analysis of omic data.
Harnessing insect olfactory neural circuits for noninvasive detection of human cancer
Authors: Farnum Alexander , Parnas Michael , Apu Ehsanul Hoque , Cox Elyssa , Lefevre Noël , Contag Christopher H. , Saha Debajit 
Published: May 2022

AbstractThere is overwhelming evidence that metabolic processes are altered in cancer cells and these changes are manifested in the volatile organic compound (VOC) composition of exhaled breath. Here, we take a novel approach of an insect olfactory neural circuit-based VOC sensor for cancer detection. We combined anin vivoantennae-attached insect brain with an electrophysiology platform and employed biological neural computation rules of antennal lobe circuitry for data analysis to achieve our goals. Our results demonstrate that three different human oral cancers can be robustly distinguished from each other and from a non-cancer oral cell line by analyzing individual cell culture VOC composition-evoked olfactory neural responses in the insect antennal lobe. By evaluating cancer vs. non-cancer VOC-evoked population neural responses, we show that olfactory neurons’ response-based classification of oral cancer is sensitive and reliable. Moreover, this brain-based cancer detection approach is very fast (detection time ~ 250 ms). We also demonstrate that this cancer detection technique is effective across changing chemical environments mimicking natural conditions. Our brain-based cancer detection system comprises a novel VOC sensing methodology that will spur the development of more forward engineering technologies for noninvasive detection of cancer.
Does access to agricultural credit help disaster-affected farming households to invest more on agricultural input?
Authors: Moahid Masaood , Khan Ghulam Dastgir , Bari M.D. Abdul , Yoshida Yuichiro 
Published: May 2022

PurposeNatural calamities impair agricultural households' ability to invest in their farms. Facilitating access to agricultural credit may assist farmers in the face of negative revenue shocks. The aim of this study is to investigate the impact of agricultural credit on the agricultural input expenditure of disaster-affected farmers in Bangladesh.Design/methodology/approachThe study utilizes data on 2,519 disaster-affected farming households from Bangladesh's Household Income and Expenditure Study (HIES) 2016–2017, which employs a nationwide representative five-year interval survey. Further, propensity score matching (PSM) identification strategy is used to estimate the average treatment effect on the treated (ATET), and Mahalanobis distance matching (MDM) is used for the robustness test. In addition, heterogeneous analysis has been conducted to explore the impact of agricultural credit on different types of farming households.FindingsThe findings reveal that access to agricultural credit has a favorable and significant effect on farm input expenditure for disaster-affected farmers. Therefore, agricultural credit accessibility could be utilized as a policy tool to assist disaster-affected farmers in improving their investment capacity, and hence, agricultural output.Originality/valueThis study, using a quasi-experimental design of access to agricultural credit on agricultural input expenditures of the disaster-affected farming households in coastal areas of Bangladesh to estimate the causal effect.
Board industry expertise and innovation input: evidence on the curvilinear relationship and the moderating effect of CEO
Authors: Sarto Fabrizia , Saggese Sara 
Published: May 2022

PurposeThe study empirically investigates whether the board of directors' expertise in the focal firm's industry has implications for innovation input. Additionally, it explores how this relationship is shaped by the CEO's educational level and background in the technology area.Design/methodology/approachThe article tests the hypothesized relationships through the Arellano–Bond generalized method of moment estimators, proxying innovation input by R&D to total sales. Moreover, it analyses a sample of privately-held Italian medium and large high-tech companies observed over four years by relying on a unique hand-collected dataset.FindingsThe research documents an inverted U-shaped relationship between board industry expertise and innovation input and shows that such curvilinear effect is moderated by the CEO's educational level and technology background. Specifically, while the curvilinear slope is less steep for highly educated CEO, it becomes steeper in the presence of technology trained CEO.Practical implicationsThe paper recommends how to shape the board human capital as a meaningful driver of board effectiveness and innovation. Additionally, it calls the managerial attention towards the interaction and the interplay between board industry expertise and CEO education as able to influence the above-mentioned outcome.Originality/valueWhile previous studies have focused on the linear and positive effect of board industry expertise on innovation, this research advances current knowledge in innovation management literature by testing the presence of a curvilinear relationship. Moreover, by exploring the moderating effect of CEO education, the paper provides a comprehensive picture on the interplay among board industry expertise, CEO educational training and innovation input.
National innovation efficiency: a DEA-based measurement of OECD countries
Authors: Erdin Ceren , Çağlar Mehmet 
Published: May 2022

Purpose
The purpose of this study is to measure and analyze the national innovation efficiency of organisation for economic co-operation and development (OECD) countries. This is to determine to what extent OECD countries efficiently use the elements that enable innovation activities possible in generating innovation outputs.

Design/methodology/approach
An input–output model was constructed to measure efficiency. The inputs and outputs in the research model are the input and output sub-indices of the Global Innovation Index. Data envelopment analysis was used to measure the national innovation efficiency levels of OECD countries.

Findings
The results show that national innovation efficiency is generally high in OECD countries. However, some countries lag behind in innovation efficiency. OECD countries’ ability to create and provide the elements that enable innovation activities is higher than their ability to create innovation outputs. OECD countries have a good innovation environment and a high level of resources, but they should focus on how to create more innovation outputs.

Originality/value
This study presents a measurement of national innovation efficiency of OECD countries which contributes “Innovation Strategy” agenda. The results empirically show that overall innovation indices cannot be the only indicator of the performance of national innovation systems. In this study, an innovation efficiency/performance matrix is constructed to present the relative positions of the countries to help in examining countries’ strengths, weaknesses and potentials based on innovation efficiency and innovation performance simultaneously. This study contributes to the literature by presenting a broader perspective and measurement of national innovation efficiency by taking an extensive number of indicators into account.
Consumer experience co-creation in speciality coffee through social media sharing: its antecedents and consequences
Authors: Silanoi Tongrawee , Meeprom Supawat , Jaratmetakul Porramate 
Published: May 2022

Purpose
The present study aims to examine consumers’ happiness experiences for speciality coffee consumption in Thailand by considering the role of consumers’ active participation, sharing of experience and consumer experience co-creation.

Design/methodology/approach
A purposive survey was conducted in speciality coffee shops located in the largest commercial city and industrial development centre in the Northeastern Region of Thailand, Khon Kaen City, which yielded 271 usable and valid responses. The proposed model was evaluated by using a structural equation analysis with a partial least squares technique.

Findings
The results confirmed that consumers’ active participation and sharing of experience affected their experience co-creation, which in turn contributed to the consumers’ happiness experience at the speciality coffee shops.

Originality/value
This study contributes to the consumer experience co-creation and social media literature by proposing a conceptual model for the speciality coffee consumption experience. Furthermore, the study findings contribute to the existing literature by investigating new linkages, such as the role of consumer experience co-creation in a speciality coffee context as a mediating variable of consumer active participation and the sharing of experience with consumers’ happiness experience.
Can intercluster coordination mediate the relationship between supply chain flexibility and humanitarian supply chain performance?
Authors: Kwateng Kwame Owusu , Tetteh Francis Kamewor , Asare Nancy , Manu Derrick 
Published: May 2022

PurposeThe occurrence of disaster and crisis is increasing. They are complex as well as challenging for humanitarian organizations (HOs) and societies involved in disaster relief operations. This study examined the nexus between supply chain flexibility (SCF) and humanitarian supply chain performance (HSCP) among HOs with empirical evidence from HOs in Ghana.Design/methodology/approachThe study employed the quantitative method to explore the interdependencies among the variables. In congruence with this, the study employed the purposive and convenience sampling technique to obtain information from 168 respondents. The analysis was done using SPSS version 23 and Smart PLS version 3.FindingsThe outcome indicates that intercluster coordination (ICC) plays a significant mediating role between SCF and HSCP.Practical implicationsThe outcome of the study indicates that a closer and stronger relationship ensures proper channel use among the HOs. This will improve the performance of the supply chain of HOs and their ability to deal with supply chain uncertainties.Originality/valueThe discovery of this study provides empirical support to the resource-based view theory. Thus, practitioners in the humanitarian setting give priority to factors that could enhance flexibility in their supply chain as well as implement coordination strategies to achieve a responsive humanitarian supply chain (HSC) system in the quest to minimize the outcome of disasters.
Determinants of intention to adopt big data and outsourcing among SMEs: organisational and technological factors as moderators
Authors: Iranmanesh Mohammad , Lim Kok Hong , Foroughi Behzad , Hong Meen Chee , Ghobakhloo Morteza 
Published: May 2022

PurposePresent research aims to study the determinants of big data analytics (BDA) adoption intention and outsourcing in the context of small and medium-sized enterprises (SMEs).Design/methodology/approachThe partial least squares approach was employed to analyse data collected from 187 SMEs.FindingsThe findings indicate that relative advantage, competitive pressure and environmental uncertainty significantly influence SMEs' BDA adoption intention. Top management support moderates the association between the regulatory environment and BDA adoption intention. Furthermore, organisational readiness moderates negatively the association between BDA adoption intention and propensity to outsource BDA.Practical implicationsThe findings benefit SMEs' managers/owners in making well-informed decisions in the BDA adoption process.Originality/valueThe majority of the previous research on BDA adoption intention is limited to large corporations. To address the gap on determinant factors of BDA adoption intention among SMEs, the drivers of BDA adoption intention and propensity to outsource were investigated using the technology-organisation-environment model.
Institutional quality and the duration of agri‐food trade flows
Authors: Engemann Helena , Jafari Yaghoob , Heckelei Thomas 
Published: May 2022

AbstractRecent trade disruptions and their consequences on supply chains show the importance of stable trade relations for exporters' economic planning and importers' supply security. Both instability in trading partners' economic and institutional environment and differences between them are likely to exacerbate these disruptions. We investigate the role of exporters' institutional quality (IQ) and its similarity with importers' IQ in the stability of trade links. We focus on the trade links of agri‐food products exported from sub‐Saharan African (SSA) countries to the European Union (EU‐28) and consider three dimensions of IQ: ‘government selection, monitoring, and replacement’; ‘efficiency of policy formulation and implementation’; and ‘respect of citizens and state for institutions’. Using a discrete‐time duration model, we show that the duration of SSA exports to the EU‐28 increases with higher exporters' IQ and similarity of trading partners' IQ. The strongest impact of exporters' IQ is associated with ‘government selection, monitoring, and replacement’. In terms of the similarity of trading partners, ‘respect of citizens and state for institutions’ has the largest impact on trade durations. Our findings suggest that the improvement of countries' IQ may boost the stability of trade relationships. Moreover, the similarity of IQs between trading partners supports the stability of trade links and should be carefully considered when establishing new trade relations.
JAE, 2021: Report of the Editor‐in‐Chief
Authors: Harvey David 
Published: May 2022

AbstractSubmissions to the journal have decreased since the Covid‐related surge in 2020, but continue their strong international pattern. Our response times continue to meet or exceed our targets, with a few regrettable exceptions, for which our sincere apologies. The JAE's citation impact factor increased again in 2020 to 3.58, though the calculation now includes early view papers, so is not directly comparable with previous years. Our total 2‐year citations continue a strong upward trend. Our sincere thanks are due to our authors and our many reviewers for this performance. Wiley continue to provide a strong publishing platform with our full archive, generating continuing growth in downloads.
Patients with end‐stage renal disease and diabetes had similar survival rates whether they received hemodialysis or peritoneal dialysis
Authors: Xu Feng , Yang Yue , Wu Man , Zhou Wenhua , Wang Dongxue , Cui Wenpeng 
Published: May 2022

AbstractBackgroundThe survival rate of patients with diabetes mellitus (DM) and end‐stage renal disease (ESRD) undergoing maintenance dialysis, including hemodialysis (HD) and peritoneal dialysis (PD), is markedly lower than that observed in patients with ESRD without DM.MethodsWe used propensity score matching to balance the clinical characteristics of patients from the HD and PD groups. We compared the survival rate between HD or PD, followed by Cox regression analyses accounting for age, Charlson comorbidity index (CCI), body mass index (BMI), and serum albumin levels to examine the outcome influence of dialysis modalities.ResultsDuring follow‐up, there were 19 (18.1%) and 18 (17.1%) deaths among patients who underwent HD and PD, respectively (P = 0.856). Kaplan–Meier survival analyses showed no significant difference in overall survival between patients in the HD and PD groups. Cox regression analyses stratified based on age, CCI, BMI, and serum albumin demonstrated that the choice of HD over PD did not influence survival.ConclusionsRegardless of age, CCI, BMI, and albumin level, patients with DM and ESRD had similar survival rates whether they received HD or PD in China. The choice of dialysis modality should be individualized according to patients' physical status and local practices for patients with DM and ESRD.
Diagnostic imaging for suspected pulmonary embolism during pregnancy and postpartum: A comparative radiation dose study
Authors: Tester Jodie , Rees Megan , Pascoe Diane , Earl Victoria , Einsiedel Paul , Lim Wen Kwang , Irving Louis , Hammerschlag Gary 
Published: May 2022

AbstractIntroductionTo compare the radiation dose exposure and diagnostic efficiency of computed tomographic pulmonary angiography (CTPA) and ventilation/perfusion imaging (V/Q) for clinically suspected pulmonary embolism (PE) in pregnant and postpartum women in a tertiary hospital setting.MethodsA retrospective cohort study of 473 pregnant and postpartum women referred for CTPA or V/Q for clinically suspected PE between January 2013 and December 2018 at a tertiary hospital. Maternal effective radiation dose, breast‐absorbed radiation dose and fetal‐absorbed dose estimates were calculated. Diagnostic yield was evaluated from radiological findings.ResultsComputed tomographic pulmonary angiography (CTPA) was more commonly used for the imaging of suspected PE in pregnant and postpartum populations (51.9% vs. 48.1% and 77.1% vs. 22.9%, respectively). CTPA was associated with higher maternal effective and breast‐absorbed doses (maternal effective CTPA 4.7 (±2.9) mSv (millisievert), V/Q 1.7(±0.8) mSv (mean difference 2.93 mSv P < 0.001), and breast‐absorbed CTPA 8.0 (±5.2) mGy (milligray), V/Q 0.3 (±0.1) (mean difference 7.67 mGy P < 0.001), respectively). Fetal radiation dose exposure was low. The incidence of positive PE was 5.5%. Indeterminate rates of CTPA and V/Q were 3.0% and 5.5% (P = 0.176), respectively.ConclusionsCompared to V/Q, CTPA is associated with higher maternal and breast radiation dose; however, modern CT scanners achieve lower radiation doses than historically described. Fetal radiation dose was comparably low. The diagnostic yield of the imaging modalities in pregnant and postpartum women is similar. Revision of guidelines should occur with the advances in CT technology.
Effect of magnetite addition on transcriptional profiles of syntrophic Bacteria and Archaea during anaerobic digestion of propionate in wastewater sludge
Authors: Dyksma Stefan , Gallert Claudia 
Published: May 2022

SummaryAnaerobic digestion (AD) is an important technology for the effective conversion of waste and wastewater to methane. Here, syntrophic bacteria transfer molecular hydrogen (H2), formate, or directly supply electrons (direct interspecies electron transfer, DIET) to the methanogens. Evidence is accumulating that the methanation of short‐chain fatty acids can be enhanced by the addition of conductive material to the anaerobic digester, which has often been attributed to the stimulation of DIET. Since little is known about the transcriptional response of a complex AD microbial community to the addition of conductive material, we added magnetite to propionate‐fed laboratory‐scale reactors that were inoculated with wastewater sludge. Compared to the control reactors, the magnetite‐amended reactors showed improved methanation of propionate. A genome‐centric metatranscriptomics approach identified the active SCFA‐oxidizing bacteria that affiliated with Firmicutes, Desulfobacterota and Cloacimonadota. The transcriptional profiles revealed that the syntrophic bacteria transferred acetate, H2 and formate to acetoclastic and hydrogenotrophic methanogens, whereas transcription of potential determinants for DIET such as conductive pili and outer‐membrane cytochromes did not significantly change with magnetite addition. Overall, changes in the transcriptional profiles of syntrophic Bacteria and Archaea in propionate‐fed lab‐scale reactors amended with magnetite refute a major role of DIET in the studied system.