bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the effects of SMEs’ platform-based digital connectivity on firm performance – the moderating role of environmental turbulence
Authors: Rajala Anni , Hautala-Kankaanpää Tuire 
Published: January 2023

PurposeSmall- and medium-sized enterprises (SMEs) often operate in environments marked by high levels of turbulence. Such firms adopt digital technologies and platforms that provide access to external real-time information and establish digital connectivity between firms to remain competitive. This study aims to focus on SMEs’ downstream and upstream platform-based digital connectivity (PDC).Design/methodology/approachThis study examines the effects of PDC on SMEs’ operational performance under conditions of environmental turbulence. The data was gathered from 192 SMEs operating in the manufacturing arena.FindingsThe results show that the adoption of PDC does not directly affect an SME’s operational performance. However, in highly turbulent environments, PDC can improve operational performance. The results indicate that the performance effects of PDC vary according to the level and type of environmental turbulence.Research limitations/implicationsThis research offers insights into the relationship between PDC among SMEs and operational performance and encourages future research examining other possible conditional effects that could explain the contradictory results found in previous research.Originality/valueThis study contributes to the knowledge of supply-chain digitalization among SMEs and its performance effects in varying environmental conditions. Further, this study contributes to the prior research by focusing on the interorganizational aspects of digitalization in SMEs.
Review of recent trends in ultrasonic additive manufacturing: current challenges and future prospects
Authors: Ishfaq Kashif , Abas Zafar , Saravana Kumar M. , Mahmood Muhammad Arif 
Published: January 2023

Purpose
This study aims to outline the current challenges in ultrasonic additive manufacturing (AM). AM has revolutionized manufacturing and offers possible solutions when conventional techniques reach technological boundaries. Ultrasonic additive manufacturing (UAM) uses mechanical vibrations to join similar or dissimilar metals in three-dimensional assemblies. This hybrid fabrication method got attention due to minimum scrap and near-net-shape products.

Design/methodology/approach
This paper reviews significant UAM areas in process parameters such as pressure force, amplitude, weld speed and temperature. These process parameters used in different studies by researchers are compared and presented in tabular form. UAM process improvements and understanding of microstructures have been reported. This review paper also enlightens current challenges in the UAM process, process improvement methods such as heat treatment methods, foil-to-foil overlap and sonotrode surface roughness to increase the bond quality of welded parts.

Findings
Results showed that UAM could solve various problems and produce net shape products. It is concluded that process parameters such as pressure, weld speed, amplitude and temperature greatly influence weld quality by UAM. Post-weld heat treatment methods have been recommended to optimize the mechanical strength of ultrasonically welded joints process parameters. It has been found that the tension force is vital for the deformation of the pre-machined structures and for the elongation of the foil during UAM bonding. It is recommended to critically investigate the mechanical properties of welded parts with standard test procedures.

Originality/value
This study compiles relevant research and findings in UAM. The recent progress in UAM is presented in terms of material type, process parameters and process improvement, along with key findings of the particular investigation. The original contribution of this paper is to identify the research gaps in the process parameters of ultrasonic consolidation.
Numerical investigations on mechanical properties of bio-inspired 3D printed geometries using multi-jet fusion process
Authors: Chand Ramesh , Sharma Vishal S. , Trehan Rajeev , Gupta Munish Kumar 
Published: January 2023

Purpose
The purpose of this study is to find the best geometries among the cylindrical, enamel and honeycomb geometries based upon the mechanical properties (tensile test, compression test and shear test). Further this obtained geometry could be used to fabricate products like exoskeleton and its supporting members.

Design/methodology/approach
The present research focuses on the mechanical testing of cylindrical, enamel and honeycomb-shaped parts fabricated through multi-jet printing (MJP) process with a wall thickness of 0.26, 0.33, 0.4 and 0.66 mm. The polymer specimens (for tensile, compression and shear tests) were fabricated using a multi-jet fusion process. The experimental results were compared with the numerical modelling. Finally, the optimal geometry was obtained, and the influence of wall thicknesses on various mechanical properties (tensile, compression and shear) was studied.

Findings
In comparison to cylindrical, enamel structures the honeycomb structures required less time to fabricate and had lower tensile, compressive and shear strengths. The most efficient geometry for fully functional parts where tensile, compressive and shear forces are present during application – cylindrical geometry is preferred followed by enamel, and then honeycomb. It was found that as the wall thickness of various geometries was increased, their ability to withstand tensile, compressive and shear loads also enhanced. The enamel shape structure exhibits greater strain energy storage capacity than other shape structures for compressive loads, and the strength to resist the compressive load will be lower. In the case of cylindrical geometries for tensile loading, the resisting area toward the loading will be higher in comparison to honeycomb- and enamel-based structures. At the same time, the ability to store the stain energy is less. The results of the tensile, compression and shear load finite element analysis using ANSYS are in agreement with those of the experiments.

Originality/value
From the insight of literature review, it is found that a wide range of work is done on fused deposition modeling (FDM) process. But in comparison to FDM, the MJP provide the better dimensional accuracy and surface properties (Lee et al., 2020). Therefore, it is observed that past research works not incorporated the effect of wall thickness of the embedded geometries on mechanical properties of the part fabricated on MJP (Gibson, n.d.). Hence, in this work, effect of wall thickness on tensile, compression and shear strength is considered as the main factor for the honeycomb, enamel and cylindrical geometries.
The role of knowledge management in driving academic advancement: empirical examination from the lens of the social cognitive theory
Authors: Ngo Quang Huan , Le Thanh Tiep , Dang Huu Phuc , Nguyen-Viet Bang 
Published: January 2023

PurposeThe purpose of this paper is to investigate the relationship between the attitudes, skills and knowledge-based researchers’ competencies (ASK-RC), academic affiliation (AA) and knowledge management (KM) and its effect on promoting the growth of scholarly international publications (SIPs).Design/methodology/approachThis research takes a quantitative approach relying on primary data gathered through a questionnaire-based survey. The study’s target population includes lecturers, managers and researchers involved in research activities in educational institutions. To operationalize the research framework, this study used social cognitive theory (SCT) and the academic community served as an empirical field of study.FindingsThe primary findings of this research are twofold: ASK-RC and AA are positively and statistically significantly associated with SIP; KM moderates the influence of ASK-RC on SIP.Originality/valueThis research adds to the current body of literature on research productivity by providing new information and empirical evidence on improving research productivity and international publication. Moreover, this research offers a new approach to the existing literature stream by operationalizing an underexplored framework from the lens of SCT. This study explains why scientific research productivity is becoming increasingly important to academia and stakeholders. Because scientific works are motivated by the goal of addressing general socioeconomic and environmental concerns, it is possible to address this concern based on SCT. Therefore, this research offers theoretical and managerial implications that may interest academics, professionals and policymakers.
Nitrogen fixation responds to soil nitrogen at low but not high light in two invasive understory species
Authors: Schmidt Colleen B. , Funk Jennifer L. , Wolf Amelia A. , Akana Palani R. , Palmer Matthew I. , Menge Duncan N. L. 
Published: January 2023

Abstract

Light and soil nitrogen availability can be strong controls of plant nitrogen (N) fixation, but data on how understory N‐fixing plants respond to these drivers are limited despite their important role in ecosystem N cycling. Furthermore, ecosystem N cycling can be altered by the introduction of species with nutrient use patterns that differ from natives. We assessed how N fixation of two exotic, understory species responded to varying light and soil N environments.

We sampled leaf tissue from Mimosa pudica L., Desmodium triflorum (L.) DC., and a nonfixing reference plant (Axonopus) growing in control and two N fertilization treatments under either N‐fixing or non‐N‐fixing trees, which may alter local soil nutrient cycling, across a range of light conditions. We measured N fixation with 15N isotope dilution, and ensured that N‐fixing neighbour trees were in fact fixing N. All understory plants were wild‐growing species not native to the study location.

Desmodium and Mimosa acquired 82.6% and 71.6% of their nitrogen from fixation (%Ndfa) in the control, compared to 66.8% and 58.1% in the +10 g N m−2 year−1 treatment and 73.1% and 64.7% in the +15 g N m−2 year−1 treatment. These subtle %Ndfa differences across fertilization treatments were more apparent at low light availability and disappeared at high light availability. The amount of N fixed by neighbouring trees did not influence %Ndfa in the understory species.

Synthesis. Our study shows some differences in N fixation across different nutrient environments at low light for two N‐fixing species, though the changes were small, and both species derived most of their N from fixation. These findings imply that introduced N‐fixing species could exacerbate ecosystem N enrichment, particularly under high soil N conditions.
Water potential governs the effector specificity of the transcriptional regulator XylR of Pseudomonas putida
Authors: Dvořák Pavel , Galvão Teca Calcagno , Pflüger‐Grau Katharina , Banks Alice M. , de Lorenzo Víctor , Jiménez Jose I. 
Published: January 2023

AbstractThe biodegradative capacity of bacteria in their natural habitats is affected by water availability. In this work, we have examined the activity and effector specificity of the transcriptional regulator XylR of the TOL plasmid pWW0 of Pseudomonas putida mt‐2 for biodegradation of m‐xylene when external water potential was manipulated with polyethylene glycol PEG8000. By using non‐disruptive luxCDEAB reporter technology, we noticed that the promoter activated by XylR (Pu) restricted its activity and the regulator became more effector‐specific towards head TOL substrates when cells were grown under water subsaturation. Such a tight specificity brought about by water limitation was relaxed when intracellular osmotic stress was counteracted by the external addition of the compatible solute glycine betaine. With these facts in hand, XylR variants isolated earlier as effector‐specificity responders to the non‐substrate 1,2,4‐trichlorobenzene under high matric stress were re‐examined and found to be unaffected by water potential in vivo. All these phenomena could be ultimately explained as the result of water potential‐dependent conformational changes in the A domain of XylR and its effector‐binding pocket, as suggested by AlphaFold prediction of protein structures. The consequences of this scenario for the evolution of specificities in regulators and the emergence of catabolic pathways are discussed.
Performing anti‐colonial military identities in the Rani of Jhansi Regiment, 1943–1945: War, diasporic women and decolonisation
Authors: Lahiri Shompa 
Published: January 2023

AbstractThe processes by which diasporic colonised Indian women were constituted as anti‐colonial military subjects offer a valuable corrective to the neglected role of colonised women in the scholarship on decolonisation and war. This article addresses how female officers of the Rani of Jhansi Regiment staged and performed anti‐colonial gendered military identities across several novel sites. Reworking Judith Butler's theory of gender performativity, it investigates the punitive consequences and agential possibilities of militarised anti‐colonial performance of gender and considers how anti‐colonial military identities, performed through the body and emotion, reproduced and disrupted gender norms.
Denial of pregnancy and neonaticide: A historical overview and case report
Authors: Sablone Sara , Margari Anna , Introna Francesco , Catanesi Roberto , Mandarelli Gabriele 
Published: January 2023

AbstractWhile denial of pregnancy and neonaticide are rare, they are potentially associated and share some risk factors. Neonaticide has been proposed as the extreme outcome of a denial of pregnancy. However, the process leading to such a possible outcome is not yet fully understood. The primary goal of this essay is to examine the various definitions and ambiguities surrounding the denial of pregnancy. The case of a young woman with a history of two denied pregnancies with diverse characteristics and outcomes, the latest of which resulted in neonaticide, is then reported and examined. A forensic psychiatric evaluation was also performed to reconstruct the woman's mental state at the time of the crime. The forensic pathological analysis of the newborn, abandoned near the sea while still alive, is described. The victim's body showed signs of shaken baby syndrome. We contend that differing levels of awareness during a denial of pregnancy might not be predictive of the potential delivery outcome in terms of threat to the newborn's survival, according to the forensic pathological and psychopathological data of the current case. Early identification of women affected by denial of pregnancy who pose a danger of committing infanticide is hampered by both intrinsic traits (dissimulation, unawareness, low propensity to seek assistance) and environmental factors (isolation, low socioeconomic level, poor education.). A previous history of denial of pregnancy should activate health and support services to reduce the potential risks for the mother and the child.
Multimarker omnibus tests by leveraging individual marker summary statistics from large biobanks
Authors: Zigarelli Angela M. , Venera Hanna M. , Receveur Brody A. , Wolf Jack M. , Westra Jason , Tintle Nathan L. 
Published: January 2023

AbstractAs biobanks become increasingly popular, access to genotypic and phenotypic data continues to increase in the form of precomputed summary statistics (PCSS). Widespread accessibility of PCSS alleviates many issues related to biobank data, including that of data privacy and confidentiality, as well as high computational costs. However, questions remain about how to maximally leverage PCSS for downstream statistical analyses. Here we present a novel method for testing the association of an arbitrary number of single nucleotide variants (SNVs) on a linear combination of phenotypes after adjusting for covariates for common multimarker tests (e.g., SKAT, SKAT‐O) without access to individual patient‐level data (IPD). We validate exact formulas for each method, and demonstrate their accuracy through simulation studies and an application to fatty acid phenotypic data from the Framingham Heart Study.
‘Nocturomics’: transition to omics‐driven biomarkers of nocturia, a systematic review and future prospects
Authors: Gong Susan , Bou Kheir George , Kabarriti Abdo , Khosla Lakshay , Gong Fred , Van Laecke Erik , Weiss Jeffrey , Everaert Karel , Hervé François 
Published: January 2023

ObjectiveTo systematically review studies that investigated different biomarkers of nocturia, including omics‐driven biomarkers or ‘Nocturomics’.Materials and MethodsPubMed®, Scopus®, and Embase® were searched systematically in May 2022 for research papers on biomarkers in physiological fluids and tissues from patients with nocturia. A distinction was made between biomarkers or candidates discovered by omics techniques, referred to as omics‐driven biomarkers, and classical biomarkers, measured by standard laboratory techniques and mostly thought from pathophysiological hypothesis.ResultsA total of 13 studies with 18 881 patients in total were included, eight of which focused on classical biomarkers including: atrial natriuretic peptide (ANP), B‐type natriuretic peptide (BNP), C‐reactive protein (CRP), aldosterone, and melatonin. Five were ‘Nocturomics’, including one that assessed the microbiome and identified 27 faecal and eight urinary bacteria correlated with nocturia; and four studies that identified candidate metabolomic biomarkers, including fatty acid metabolites, serotonin, glycerol, lauric acid, thiaproline, and imidazolelactic acid among others. To date, no biomarker is recommended in clinical practice. Nocturomics are in an embryonic phase of conception but are developing quickly. Although candidate biomarkers are being identified, none of them are yet validated on a large sample, although some preclinical studies have shown a probable role of fatty acid metabolites as a possible biomarker of circadian rhythm and chronotherapy.ConclusionFurther research is needed to validate biomarkers for nocturia within the framework of a diagnostic and therapeutic precision medicine perspective. We hope this study provides a summary of the current biomarker discoveries associated with nocturia and details future prospects for omics‐driven biomarkers.
Peri‐implantitis: A bibliometric network analysis of top 100 most‐cited research articles
Authors: Sabri Hamoun , Wang Hom‐Lay 
Published: January 2023

AbstractBackgroundOver the past decades, there has been an increase in research publications focusing on peri‐implantitis. When facing limited healthcare resources, bibliometric analyses can guide researchers and funding parties toward areas where reallocation or more focus on research activity is warranted. The main objective of this study was to identify the trends of the top 100 cited articles on peri‐implantitis research as the first study of its kind.MethodsA Web of Science search, using the keywords “peri‐implantitis or periimplantitis” was built to create a database of the most‐cited articles. Articles were ranked by citation count and screened by two independent reviewers. The bibliometric characteristics of the studies were gathered and analyzed using several bibliometric software. Author collaborations, author clusters, and keyword co‐occurrence network analyses were also performed. The correlation between the citation count and the age of each article was tested.ResultsThe top 100 cited papers were published from 1994 to 2018 and the total citation counts ranged from 119 to 972 with 244.5 citations/paper on average. There was no correlation between the age of the articles and the citation count (p‐value = 0.67). 21% of the studies consisted of prospective clinical studies. 35% of the papers focused on treatment and prevention of peri‐implantitis while 65% concerned epidemiology. The top three most prolific countries were Sweden (n = 31), Germany (n = 15), and Switzerland (n = 13). We found 12 authors who had greater than five publications on the list. Also, the most published journal was Clinical Oral Implants Research.ConclusionThis study provides insight into the characteristics and quality of the most highly cited peri‐implantitis literature. This revealed a deficiency in terms of the number of studies on treatment strategies as well as a higher level of evidence studies among the most‐ impactful papers on peri‐implantitis at the moment.
Identifying diabetogenic drugs using real world health care databases: A Danish and Australian symmetry analysis
Authors: Lund Lars Christian , Jensen Patricia Hjorslev , Pottegård Anton , Andersen Morten , Pratt Nicole , Hallas Jesper 
Published: January 2023

AbstractAimsDrug‐induced diabetes is underreported in conventional drug safety monitoring and may contribute to the increasing incidence of type 2 diabetes. Therefore, we used routinely collected prescription data to screen all commonly used drugs for diabetogenic effects.MethodsLeveraging the Danish nationwide health registries, we used a case‐only symmetry analysis design to evaluate all possible associations between drug initiation and subsequent diabetes. The study was conducted among individuals aged ≥40 years with a first‐ever prescription for any antidiabetic drug 1996‐2018 (n = 348 996). Sequence ratios (SRs) and 95% confidence intervals (CIs) were obtained for all possible drug class‐diabetes combinations. A lower bound of the 95% CI >1.00 was considered a signal. Signals generated in Denmark were replicated using the Services Australia, Pharmaceutical Benefits Scheme 10% data extract.ResultsOverall, 386 drug classes were investigated, of which 70 generated a signal. In total, 43 were classified as previously known based on the SIDER database or a literature review, for example, glucocorticoids (SR 1.67, 95% CI 1.62‐1.72) and β‐blockers (SR 1.20, 95% CI 1.16‐1.23). Of 27 new signals, three drug classes yielded a signal in both the Danish and Australian data source: digitalis glycosides (SR 2.15, 95% CI 2.04‐2.27, and SR 1.76, 95% CI 1.50‐2.08), macrolides (SR 1.20, 95% CI 1.16‐1.24, and SR 1.11, 95% CI 1.06‐1.16) and inhaled β2‐agonists combined with glucocorticoids (SR 1.35, 95% CI 1.28‐1.42, and SR 1.14, 95% CI 1.06‐1.22).ConclusionWe identified 70 drug‐diabetes associations, of which 27 were classified as hitherto unknown. Further studies evaluating the hypotheses generated by this work are needed, particularly for the signal for digitalis glycosides.
Support for small businesses amid COVID‐19
Authors: Goodhart Charles A.E. , Tsomocos Dimitrios P. , Wang Xuan 
Published: January 2023

AbstractHow should the government support small and medium‐sized enterprises amid a pandemic crisis while balancing the trade‐off between short‐run stabilization and long‐run allocative efficiency? We develop a two‐sector equilibrium model featuring small businesses with private information on their likely future success and a screening contract. Businesses in the sector adversely affected by a pandemic can apply for government loans to stay afloat. A pro‐allocation government sets a harsh default sanction to deter entrepreneurs with poorer projects, thereby improving long‐run productivity at the cost of persistent unemployment, whereas a pro‐stabilization government sets a lenient default sanction. Interest rate effective lower bound leads to involuntary unemployment in the other open sector and shifts the optimal default sanction to a lenient stance. The rise in firm markups exerts the opposite effect. A high creative destruction wedge polarizes the government's hawkish and dovish stances, and optimal default sanction is more lenient, exacerbating resource misallocation. The model illuminates how credit guarantees might be structured in future crises.