bluuebunny/crossref_metadata_2025_split huggingface dataset:
How firms accumulate knowledge to innovate – an empirical study of Vietnamese firms
Authors: Nguyen Duy Quoc 
Published: July 2021

PurposeOrganizational innovations are closely associated with organizational knowledge, and thus a firm builds its knowledge base to enhance its innovative performance. However, insights into this process are still limited, especially in the context of firms in developing countries. Building on the dynamic managerial capabilities literature and open innovation paradigm, this paper attempts to fill this gap by developing and empirically testing a model that investigates how firms in developing countries accumulate knowledge to innovate.Design/methodology/approachA model of a firm's knowledge accumulation and innovation is proposed in which it specifies relationships among absorptive capacity, knowledge breadth, research and development (R&D), knowledge depth, exploratory innovation and exploitative innovation, and then it is empirically tested by using the structural equation modeling (SEM) technique based on the surveyed data of Vietnamese firms.FindingsThe results indicate that absorptive capacity positively influences both knowledge breadth and knowledge depth, knowledge breadth positively influences R&D, R&D positively influences exploratory innovation and knowledge depth, and knowledge depth positively influences exploratory and exploitative innovation.Practical implicationsThe study proposes an “acquire and develop” open innovation model for firms in developing countries in which firms acquire external technologies and then develop R&D (develop and design) capability to adapt acquired technologies to their local conditions to create new organizational-specific capabilities and exploratory innovation.Originality/valueThis study argues that external knowledge acquisition is beneficial to innovative performance of firms in developing countries via renewing their knowledge base. Furthermore, the study provides the unique evidence that novel external knowledge acquisition and internal R&D are fit to each other in the fit-as-mediation form in which novel external knowledge acquisition is mediated by R&D to positively influence exploratory innovation.
Improved accuracy of an FDM 3D printer using a face-diagonal length test using an artifact and a Vernier caliper
Authors: Yang Seung-Han , Lee Kwang-Il 
Published: July 2021

Purpose
The purpose of this study is to improve the accuracy of a fused deposition modeling three-dimensional (3D) printer by identifying and compensating for position-independent geometric errors using a face-diagonal length test featuring a designed artifact and a Vernier caliper.

Design/methodology/approach
An artifact that does not require support when printing was designed and printed to allow performance of the face-diagonal length test. A Vernier caliper was used to measure the lengths of diagonals in the XY, YZ and ZX planes of the printed artifact specimen; this completed the face-diagonal length test. The relationships between position-independent geometric errors of the linear axes X, Y and Z and the measured diagonal lengths of the three planes were determined to identify geometric errors.

Findings
The approach was applied to a commercial fused deposition modeling 3D printer, and three position-independent geometric errors were rapidly identified. The artifact was re-printed after model-based compensation for these errors and the diagonal lengths were re-measured. The results were verified via coordinate measuring machine measurement of a simple test piece without and with model-based compensation for identified geometric errors. Furthermore, the proposed approach was applied to a commercial 3D printer.

Research limitations/implications
The measured diagonal lengths of the printed artifacts varied greatly. Thus, further studies should investigate the effects of printing materials and parameters on the length discrepancies of 3D printed artifacts.

Practical implications
A software-based compensation of identified position-independent geometric errors has to be used at commercial 3D printers for accuracy improvements of printed parts.

Originality/value
Thus, the approach is of practical utility; it can be periodically used to identify position-independent geometric errors and ensure that the 3D printer is consistently accurate.
Point‐spread function convolution to simulate prestack depth migrated images: A validation study
Authors: Jensen Kristian , Lecomte Isabelle , Gelius Leiv Jacob , Kaschwich Tina 
Published: July 2021

ABSTRACTSeismic migration commonly yields an incomplete reconstruction of the Earth model due to restricted survey aperture, band‐limited frequency content and propagation effects. This affects both illumination and resolution of the structures of interest. Through the application of spatial convolution operators commonly referred to as point‐spread functions, simulated prestack depth‐migrated images incorporating these effects may be obtained. Such simulated images are tailored for analysing distortion effects and enhance our understanding of seismic imaging and subsequent interpretation. Target‐oriented point‐spread functions may be obtained through a variety of waveform and ray‐based approaches. Waveform approaches are generally more robust, but the computational cost involved may be prohibitive. Ray‐based approaches, on the other hand, allow for efficient and flexible sensitivity studies at a low computational cost, but inherent limitations may lead to less accuracy. To yield more insight into the similarities and differences between point‐spread functions obtained via these two approaches, we first derive analytical expressions of both wave‐ and ray‐based point‐spread functions in homogeneous media. By considering single‐point scatterers embedded in a uniform velocity field, we demonstrate the conditions under which the derived equations diverge. The accuracy of wave‐based and ray‐based point‐spread functions is further assessed and validated at selected targets in a subsection of the complex BP Statics Benchmark model. We also compare our simulated prestack depth migrated images with the output obtained from an actual prestack depth migration (reverse time migration). Our results reveal that both the wave‐ and ray‐based approaches accurately model illumination, resolution and amplitude effects observed in the reverse time‐migrated image. Furthermore, although some minor deviations between the wave‐based and ray‐based approaches are observed, the overall results indicate that both approaches can be used also for complex models.
Building back better: Imagining an occupational therapy for a post‐COVID‐19 world
Authors: Whalley Hammell Karen 
Published: July 2021

IntroductionThe COVID‐19 pandemic, which has disrupted occupations and lives of people around the world, has simultaneously exposed deeply rooted social inequities and structural injustices that have negated the facile claim that “we're all in this together.” But the pandemic has also opened up opportunities to imagine other ways of living and doing in the future. This paper imagines some possibilities for shaping occupational therapy's future practices and seeks to illustrate why it is both timely and necessary to re‐imagine occupational therapy in 2021.MethodsDrawing from epidemiological research, the paper explores the inequitable impacts of COVID‐19, environmental degradation, and multiple social determinants on people's real opportunities for health, wellbeing, and occupational engagement.FindingsEvidence presented in this paper challenges occupational therapy's individualised approach towards wellbeing and contests the limited parameters of occupations “that matter” that are prioritised and promoted within the profession. In response, the paper seeks to expose the specific, political, economic, and ableist ideology that has effectively shaped the occupational therapy profession's assumptions, models, theories, and the practices these inform.ConclusionDrawing from the “Build back better” approach to post‐disaster recovery—with its dual attentions to wellbeing, equity, and inclusivity and to physical, social, cultural, economic, and environmental vulnerabilities—this paper imagines an occupational therapy for a post‐COVID‐19 world; an occupational therapy that takes seriously the premise that occupations and people are inseparable from their environments; a profession that no longer colludes in individualising problems that are inherently social or in depoliticising the systemic social and economic inequalities that create stress and illness; an occupational therapy that no longer promotes the values of neoliberal ableism; and an occupational therapy dedicated to expanding people's just and equitable opportunities to engage in meaningful occupations that contribute positively to their own wellbeing and the wellbeing of their communities.
Chemometric analysis on ATR‐FT‐IR spectra of spray paint samples for forensic purposes
Authors: Sharma Sweety , Chophi Rito , Kaur Charanjeet , Singh Rajinder 
Published: July 2021

AbstractForensic investigation of cases involving spray paints requires comparison of paint such as those recovered from graffiti with the references sample seized from the suspect's possession site. This study describes the use of Attenuated Total Reflectance Fourier Transform Infrared (ATR‐FT‐IR) spectroscopy for nondestructive analysis of 20 red spray paints of different manufactures, which could be encountered at a crime scene, particularly in case of vandalism. Spray paints could be encountered on a number of different substrates, and therefore, the samples were placed on simulated substrates and were analyzed in order to check the effect of substrates on sample analysis. Results showed that all samples could be successfully differentiated using ATR‐FT‐IR spectroscopy assisted with principal component analysis. Analysis of spray paints on a paper and fabric substrate resulted in poor spectra and hampered the comparative examination between the spray paint deposited on fabric/paper surface and the control sample. In case of sample deposited on cemented wall, the substrate got scraped out along with the sample and caused interferences in the spectrum. On the other hand, for sample deposited on the floor, gloves, metal, plastic, leather shoes, tile, wood, and hair substrates, all the significant peaks were observed to be present and hence it was concluded that comparative studies can be done between neat spray paint and spray paint deposited on the aforesaid substrates. Additionally, blind validation test was conducted and it resulted in linking the blind samples with the source or origin with 100% accuracy.
Fatal intracranial hemorrhage due to infantile acute lymphoblastic leukemia mimicking abusive head trauma
Authors: Unuma Kana , Makino Yohsuke , Yamamoto Kouhei , Hattori Shinya , Arai Nobutaka , Sakai Kentaro , Kitagawa Masanobu , Uemura Koichi , Kanegane Hirokazu 
Published: July 2021

AbstractWe report the case of a 2‐month‐old infant who was found moribund in her crib. Postmortem computed tomography (PMCT) was performed before autopsy. As the baby had a severe subdural hematoma, retinal hemorrhage, and encephalopathy on PMCT, abusive head trauma (AHT) was tentatively diagnosed. At autopsy, no scalp hemorrhages or skull fractures were found; however, the classic triad of AHT was present, mainly on the right side. Additionally, there was dark red discoloration around the heart, and the liver, spleen, and pancreas were enlarged. Peripheral blood was macroscopically cloudy with marked leukocytosis. After careful histological examination, B‐cell precursor acute lymphoblastic leukemia (ALL) was diagnosed. All the macroscopic lesions could be attributed to ALL. The manner of death was natural. To the best of our knowledge, this is the first report of infantile ALL mimicking AHT on PMCT images. This case demonstrates the importance of a comprehensive systematic approach to considering differential diagnosis when PMCT shows multiple intracranial hemorrhages suggestive of AHT in an infant.
Comparative analyses of the venom components in the salivary gland transcriptomes and saliva proteomes of some heteropteran insects
Authors: Yoon Kyungjae Andrew , Kim Woo‐Jin , Lee Seungki , Yang Hee‐Sun , Lee Byoung‐Hee , Lee Si Hyeock 
Published: July 2021

AbstractSalivary gland‐specific transcriptomes of nine heteropteran insects with distinct feeding strategies (predaceous, hematophagous, and phytophagous) were analyzed and annotated to compare and identify the venom components as well as their expression profiles. The transcriptional abundance of venom genes was verified via quantitative real‐time PCR. Hierarchical clustering of 30 representative differentially expressed venom genes from the nine heteropteran species revealed unique groups of salivary gland‐specific genes depending on their feeding strategy. The commonly transcribed genes included a paralytic neurotoxin (arginine kinase), digestive enzymes (cathepsin and serine protease), an anti‐inflammatory protein (cystatin), hexamerin, and an odorant binding protein. Both predaceous and hematophagous (bed bug) heteropteran species showed relatively higher transcription levels of genes encoding proteins involved in proteolysis and cytolysis, whereas phytophagous heteropterans exhibited little or no expression of these genes, but had a high expression of vitellogenin, a multifunctional allergen. Saliva proteomes from four representative species were also analyzed. All venom proteins identified via saliva proteome analysis were annotated using salivary gland transcriptome data. The proteomic expression profiles of venom proteins were in good agreement with the salivary gland‐specific transcriptomic profiles. Our results indicate that profiling of the salivary gland transcriptome provides important information on the composition and evolutionary features of venoms depending on their feeding strategy.
Revisiting the sex pheromone of the fall armyworm Spodoptera frugiperda, a new invasive pest in South China
Authors: Jiang Nan‐Ji , Mo Bao‐Tong , Guo Hao , Yang Jun , Tang Rui , Wang Chen‐Zhu 
Published: July 2021

AbstractThe fall armyworm Spodoptera frugiperda is a worldwide serious agricultural pest, and recently invaded South China. Sex pheromone can be employed to monitor its population dynamics accurately in the field. However, the pheromone components previously reported by testing different geographic populations and strains are not consistent. On the basis of confirming that the S. frugiperda population from Yunnan Province belonged to the corn strain, we analyzed the potential sex pheromone components in the pheromone gland extracts of females using gas chromatography coupled with electroantennographic detection (GC‐EAD), gas chromatography coupled with mass spectrometry (GC‐MS) and electroantennography (EAG). The results show that (Z)‐9‐tetradecenal acetate (Z9‐14:Ac), (Z)‐11‐hexadecenyl acetate (Z11‐16:Ac), (Z)‐7‐dodecenyl acetate (Z7‐12:Ac) or (E)‐7‐dodecenyl acetate (E7‐12:Ac) with a ratio of 100 : 15.8 : 3.9 induced EAD responses to varying degrees: Z9‐14:Ac elicited a strong EAD response, Z7‐12:Ac or E7‐12:Ac elicited a small but clear EAD response, while Z11‐16:Ac elicited a weak EAD response. Further single sensillum recording (SSR) showed that Z9‐14:Ac and Z7‐12:Ac induced dose‐dependent activities in two types (A and B) of sensilla in male antennae, respectively, while the sensilla in response to E7‐12:Ac and Z11‐16:Ac was not recorded. Finally, wind tunnel tests reveal that Z9‐14:Ac and Z7‐12:Ac are two principal sex pheromone components of the tested population.
Overexpression of BCCIP predicts an unfavorable prognosis and promotes the proliferation and migration of lung adenocarcinoma
Authors: Shi Jie , Lv Xin , Li Wei , Ming Zongjuan , Zeng Lizhong , Yuan Jingyan , Chen Yang , Liu Boxuan , Yang Shuanying 
Published: July 2021

AbstractBackgroundLung cancer accounts for the highest rate of cancer‐related diagnosis and mortality. Lung adenocarcinoma (LUAD) is the most common histopathological type. BCCIP was originally identified as a BRCA2 and CDKN1A interacting protein. In different cancers, BCCIP plays different roles. The role of BCCIP in LUAD is still unknown.MethodsThe expression and prognostic value of BCCIP was analyzed using public databases, including LCE, GEPIA, TCGA, and clinical specimens. Bioinformatic analysis and vitro experiments were conducted to explore the biological functions of BCCIP in LUAD. By using the GEPIA and TIMER databases, we investigated the correlations between LUAD expression and immune infiltration in LUAD.ResultsCompared with normal tissue, LUAD tissue had a higher expression level of BCCIP and high expression level of BCCIP was detrimental to LUAD patient survival. The suppression of BCCIP inhibited LUAD cell proliferation, migration and resulted in G1/S phase arrest in vitro. Bioinformatic analysis demonstrated that BCCIP could be associated with cell cycle, DNA repair and E2F transcription factor family. There were significant correlations between BCCIP expression and immune infiltrates, including B cell, CD4+ T cell, macrophage, neutrophil and dendritic cells. Furthermore, BCCIP expression showed strong correlations with diverse immune marker sets in LUAD, such as B cell, macrophage and DC.ConclusionsOverexpression of BCCIP predicts an unfavorable prognosis and promotes the proliferation and migration of lung adenocarcinoma cells. BCCIP is correlated with immune infiltration in LUAD. Suppression of BCCIP may be a potential approach in the prevention and treatment of LUAD.
Meta‐analysis of primary producer amino acid δ15N values and their influence on trophic position estimation
Authors: Ramirez Matthew D. , Besser Alexi C. , Newsome Seth D. , McMahon Kelton W. 
Published: July 2021

Abstract

Compound‐specific stable isotope analysis of individual amino acids (CSIA‐AA) has emerged as a transformative approach to estimate consumer trophic positions (TPCSIA) that are internally indexed to primary producer nitrogen isotope baselines. Central to accurate TPCSIA estimation is an understanding of beta (β) values—the differences between trophic and source AA δ15N values in the primary producers at the base of a consumers’ food web. Growing evidence suggests higher taxonomic and tissue‐specific β value variability than typically appreciated.

This meta‐analysis fulfils a pressing need to comprehensively evaluate relevant sources of β value variability and its contribution to TPCSIA uncertainty. We first synthesized all published primary producer AA δ15N data to investigate ecologically relevant sources of variability (e.g. taxonomy, tissue type, habitat type, mode of photosynthesis). We then reviewed the biogeochemical mechanisms underpinning AA δ15N and β value variability. Lastly, we evaluated the sensitivity of TPCSIA estimates to uncertainty in mean βGlx‐Phe values and Glx‐Phe trophic discrimination factors (TDFGlx‐Phe).

We show that variation in βGlx‐Phe values is two times greater than previously considered, with degree of vascularization, not habitat type (terrestrial vs. aquatic), providing the greatest source of variability (vascular autotroph = −6.6 ± 3.4‰; non‐vascular autotroph = +3.3 ± 1.8‰). Within vascular plants, tissue type secondarily contributed to βGlx‐Phe value variability, but we found no clear distinction among C3, C4 and CAM plant βGlx‐Phe values. Notably, we found that vascular plant βGlx‐Lys values (+2.5 ± 1.6‰) are considerably less variable than βGlx‐Phe values, making Lys a useful AA tracer of primary production sources in terrestrial systems. Our multi‐trophic level sensitivity analyses demonstrate that TPCSIA estimates are highly sensitive to changes in both βGlx‐Phe and TDFGlx‐Phe values but that the relative influence of β values dissipates at higher trophic levels.

Our results highlight that primary producer β values are integral to accurate trophic position estimation. We outline four key recommendations for identifying, constraining and accounting for β value variability to improve TPCSIA estimation accuracy and precision moving forward. We must ultimately expand libraries of primary producer AA δ15N values to better understand the mechanistic drivers of β value variation.
Damages for Breach of a Forum Selection Clause
Authors: Monestier Tanya J. 
Published: July 2021

When a party breaches a forum selection clause, a court will normally dismiss the action, therefore forcing the breaching party to re‐file in the appropriate forum, or the court will transfer the proceedings to the chosen court. Either way, the nonbreaching party appears to have gotten what he wanted: litigation to proceed before the designated court. However, to get there, the nonbreaching party had to outlay significant expenditures in the form of attorneys' fees. Are these attorneys' fees recoverable as damages? Should they be?This Article argues that attorneys' fees associated with remedying a breach of a forum selection clause should be recoverable as damages flowing from the breach. Without the prospect of having to pay damages, the breaching party would be permitted to breach a forum selection clause with impunity. In other words, there is no downside to breaching a forum selection clause. Best case scenario, the non‐designated court retains jurisdiction; worst case scenario, the breaching party is “sent” to the contractually‐designated forum.Awarding attorneys' fees for breach of a forum selection clause does not run afoul of the American Rule, which requires each side to bear their own costs and attorneys' fees. This is because attorneys' fees for breach of a forum selection clause are a measure of direct damages—and not consequential damages—and therefore do not implicate the American Rule.
Poaching is directly and indirectly driving the decline of South Africa's large population of white rhinos
Authors: Nhleko Zoliswa N. , Ahrens Robert , Ferreira Sam M. , McCleery Robert A. 
Published: July 2021

AbstractLarge herbivores, particularly in water limited systems, are vulnerable to the impacts of poaching (illegal hunting) and human‐induced climate changes. However, we have little understanding of how these processes can reshape their populations. With some rapidly declining populations there is a need to understand the effects of these stressors on populations of vulnerable large herbivores like the white rhino (Ceratotherium simum simum). We developed age‐structured models for the rhino population in Kruger National Park, home to 49% of South Africa’s rhinos. We wanted to determine the relative influence of poaching and climate on the current and future population size and demographics, examine the potential of a dependency effect (the loss of calves from poached females) and quantify the compound effect (loss of future young). Our results indicated that population declines were largely driven by poaching and included a dependency effect. Rainfall had a measurable but smaller influence on rhino populations and had an additive effect; reduced rainfall exacerbated poaching losses. Current poaching levels have resulted in a reduction to the lifetime reproductive output per cow from approximately 6 to 0.7 calves: a compound effect of 5.3 future offspring. Under current levels of poaching, we project a 35% decline in the Kruger rhino population in the next 10 years. However, if poaching intensity is cut in half, we project a doubling of the current population over the same time frame. Overall, our models showed little sensitivity to demographic and environmental parameters, except for adult survival. Our results suggest that maintaining and improving the lifetime reproductive output of rhino cows should thus be the highest management priority and that new management targets should consider both the dependency and compound effects associated with poaching on rhino cows.