bluuebunny/crossref_metadata_2025_split huggingface dataset:
An assessment of the dimensional accuracy and geometry-resolution limit of desktop stereolithography using response surface methodology
Authors: Cotabarren Ivana , Palla Camila Andrea , McCue Caroline Taylor , Hart Anastasios John 
Published: July 2019

Purpose
This paper aims to apply a robust methodology to establish relationships between user-configurable process parameters of commercial desktop stereolithography (SLA) printers and dimensional accuracy of a custom-designed test artifact.

Design/methodology/approach
A detailed response surface methodology study, Box–Behnken incomplete factorial design of four factors with three levels, was carried out to evaluate process performance of desktop SLA printers. The selected factors were as follows: printing orientation angle in x-direction, printing orientation angle in y-direction, position on build platform in spatial x-coordinate, position on build tray in spatial y-coordinate and layer thickness. The proposed artifact was designed to include 12 feature groups including thin walls, holes, bosses, bridges and overhangs. Two responses were associated with the features: the dimensional deviation according to the designed value and the minimum feature size.

Findings
Layer thickness was the most significant factor in 70% of the analyzed responses. For example, measurement deviation was reduced about 90% when cylindrical holes were printed with the lowest layer thickness. Further, in many cases, dimensional deviation was minimized for features at the center of the platform, where the beam cures the resin in a straight line. However, at distant positions, accuracy could be improved by compensating for beam deviation by changing the object orientation angle.

Originality/value
The findings of this study can serve, both generally and specifically, for SLA designers and engineers who wish to optimize printing process variables and feature location to achieve high-dimensional accuracy and further understand the many coupled considerations among part design, build configuration and process performance.
A review of global automotive industry’s competitive strategies
Authors: Mohammad Nazir Norzuliana , Shavarebi Kamran 
Published: July 2019

Purpose
The purpose of this paper is to study the latest global automotive industry’s competitive strategies comprehensively before being categorized into countries, automakers and other scholars.

Design/methodology/approach
In total, 54 most relevant articles have been chosen from various journals and databases between the years 2017 and 2018 with search items “Competitive” and “Automotive” for the most updated review. Based on findings, there are total 133 competitive strategies.

Findings
Based on the review and analysis of the literature, all of these three categories, countries, automakers and other scholars, are using new product development (NPD) as a competitive strategy. As a result, further research on NPD, specifically in the automotive industry area, is vital for industry’s competitiveness based on this study.

Research limitations/implications
Firms are advised to be ahead from the competitors in terms of business model or in their management in order to attain sustainability. However, to the authors’ best knowledge, there is no comprehensive review on competitive strategies for automotive globally by countries, automakers and other scholars.

Practical implications
The competitive strategies are reviewed comprehensively so that other than guiding the further research, they can help automakers, especially from developing countries, to improve the strategies suitable to the current trend.

Social implications
Automotive industry plays a key role in the day-to-day activity of human life by not only providing mobility but also having an enormous impact of the industry on economic, environmental and social activities throughout the globe.

Originality/value
Most of the articles reviewed related to certain country or comparison between the countries, and certain automaker or comparison between the automakers, but still no study about comprehensive review globally covered in the larger scope, divided into three categories; countries, automakers and other scholars even though the study is vital not only to academicians but also to practitioners.
Role of medicinal plants in HIV/AIDS therapy
Authors: Laila Umme , Akram Muhammad , Shariati Mohammad Ali , Hashmi Asif Mehmmod , Akhtar Naheed , Tahir Imtiaz Mahmood , Ghauri Aymen Owais , Munir Naveed , Riaz Muhammad , Akhter Naheed , Shaheen Ghazala , Ullah Qamar , Zahid Rabia , Ahmad Saeed 
Published: July 2019

AbstractHuman immunodeficiency virus (HIV) causes the potentially life‐threatening and chronic disease called acquired immune deficiency syndrome (AIDS). The main target of this viral disease is to suppress the immune system and make the body unresponsive to external stimuli. According to global health observatory data since epidemic, more than 78 million people were affected by HIV and 39 million people died globally. Until 2017, 36.5 million people were living with HIV. An estimated 0.8% (0.6%–0.9%) of adults aged 15–49 years worldwide is living with HIV. The World Health Organization (WHO) reported that the African region remains most severely affected, with nearly one in every 25 adults (4.1%) living with HIV and accounting for nearly two‐thirds of the people living with HIV worldwide. WHO reported that globally only 21.7 million (19.1 million–22.6 million) people have had access to antiretroviral therapy up to 2017. Currently, antiretroviral therapy (ART) is available for the control of HIV but has serious associated side effects such as lipodystrophy. Because of the limitations, associated with ART, researchers throughout the world are trying to explore and develop more reliable and safe drugs from natural resources to manage HIV infection. A wide range of medicinal plants have been studied and have reported significant potential against HIV. Plants like Rheum palmatum L., Rheum officinale, Trigonostem axyphophylloides, Vatica astrotricha, Vernonia amygdalina, Hypoxias pelargonium, Sidoides hemerocallidea and Sutherlandia frutescens etc. have high efficacy to cure HIV. The exact mechanism of action is still not known but various phytoconstituents isolated from medicinal plants such as alkaloids, flavonoids, polyphenols, terpenoids, tannins, proteins and coumarins have the potential to interrupt the life cycle of HIV as well as act as immunomodulators to enhance the immune system of infected patients with no well reported side effects. It could be concluded that medicinal plants have potential for the management of HIV/AIDS but more studies are needed to reveal rigorous efficacy and safety concerns by conducting clinical trials at vast level to explore therapeutic impact of medicinal plants.
Growing edible mushrooms: a conversation between bacteria and fungi
Authors: Carrasco Jaime , Preston Gail M. 
Published: July 2019

SummaryMushroom cropping consists of the development and fructification of different fungal species in soil or selective substrates that provide nutrients and support for the crop. The microorganisms present in these environments strongly influence, and in some cases are required for the growth and fructification of cultivated mushrooms. Some fungi such as truffles and morels form ectomycorrhizal associations with host plants. For these fungi, helper bacteria play an important role in the establishment of plant‐fungal symbioses. Selective processes acting on the microbiota present in substrates and soils determine the composition of the microbiota inhabiting the fruit bodies or interacting with fungal hyphae, and both configure the mushroom holobiont, understood as the fungus plus associated microorganisms. Here, we review current knowledge regarding the cross‐talk between bacteria and fungi during mushroom cultivation. We highlight the potential use of bioinoculants as agronomical amendments to increase mushroom productivity through growth promotion or as biocontrol agents to control pests and diseases.
Further Pseudo‐Operational Trials with the Lumicyano Double‐ and Co‐Fuming Process for the Detection of Latent Fingermarks
Authors: Farrugia Kevin J. , Hunter Danielle , Wilson Clarice , Hay Stef , Sherriffs Paul , Deacon Paul 
Published: July 2019

AbstractThis study presents a number of pseudo‐operational trials on plastic bags investigating the double‐ and co‐fuming process of a one‐step fluorescent cyanoacrylate (LumicyanoTM) in comparisons with the two‐step process with basic yellow 40 (BY40) staining for the detection of latent fingermarks. The results demonstrate that both Lumicyano solution and dye contribute to the increased detection of latent fingermarks during the double‐fuming process (trial 1). Co‐fuming the Lumicyano solution and dye separately (at a concentration of 8%) but simultaneously was less effective than 8% Lumicyano (trial 2). Co‐fuming Lumicyano 8% and an additional 8% Lumicyano dye by weight was more effective than Lumicyano 8% (trial 3), possibly due to increased fluorescent material deposition during co‐fuming allowing for better visualization. The use of BY40 after Lumicyano resulted in a considerable increase in detected fingermarks.
TREM‐1 deficiency attenuates the inflammatory responses in LPS‐induced murine endometritis
Authors: Zhu Hongmei , Li Wenke , Wang Zhuole , Chen Jianguo , Ding Mingxing , Han Li 
Published: July 2019

SummaryEndometritis, which is usually caused by bacterial infection, is characterized by high levels of pro‐inflammatory cytokines and a high infertility rate. Triggering receptor expressed on myeloid cells‐1 (TREM‐1) has been recognized as a potent amplifier of inflammatory reactions. Studies have demonstrated reduced inflammatory responses and mortality rates of animals with bacterial infection due to the blocking of TREM‐1 expression. However, whether TREM‐1 deficiency could alleviate the inflammatory reaction in bacterial endometritis is still unclear. Here, TREM‐1 knock‐out (Trem‐1−/−) mice were used to inhibit TREM‐1 signalling to evaluate its role in inflammatory reactions after a highly pathogenic LPS infection in mice uteri. The results demonstrated that TREM‐1 deficiency attenuated the inflammation in mice uteri; markedly reduced the number of polymorphonuclear neutrophils; and suppressed interleukin‐1β (IL‐1β), IL‐6, and tumour necrosis factor‐α (TNF‐α) concentrations in serum as well as their production in inflamed uteri after LPS stimulation. Our results illustrate an anticipated pathogenic impact of TREM‐1 on endometritis during LPS infection and indicate that blocking of TREM‐1 in LPS‐induced endometritis holds considerable promise for blunting excessive inflammation.
An evaluation of sequencing coverage and genotyping strategies to assess neutral and adaptive diversity
Authors: Benjelloun Badr , Boyer Frédéric , Streeter Ian , Zamani Wahid , Engelen Stefan , Alberti Adriana , Alberto Florian J. , BenBati Mohamed , Ibnelbachyr Mustapha , Chentouf Mouad , Bechchari Abdelmajid , Rezaei Hamid R. , Naderi Saeid , Stella Alessandra , Chikhi Abdelkader , Clarke Laura , Kijas James , Flicek Paul , Taberlet Pierre , Pompanon François 
Published: July 2019

AbstractWhole genome sequences (WGS) greatly increase our ability to precisely infer population genetic parameters, demographic processes, and selection signatures. However, WGS may still be not affordable for a representative number of individuals/populations. In this context, our goal was to assess the efficiency of several SNP genotyping strategies by testing their ability to accurately estimate parameters describing neutral diversity and to detect signatures of selection. We analysed 110 WGS at 12× coverage for four different species, i.e., sheep, goats and their wild counterparts. From these data we generated 946 data sets corresponding to random panels of 1K to 5M variants, commercial SNP chips and exome capture, for sample sizes of five to 48 individuals. We also extracted low‐coverage genome resequencing of 1×, 2× and 5× by randomly subsampling reads from the 12× resequencing data. Globally, 5K to 10K random variants were enough for an accurate estimation of genome diversity. Conversely, commercial panels and exome capture displayed strong ascertainment biases. Besides the characterization of neutral diversity, the detection of the signature of selection and the accurate estimation of linkage disequilibrium (LD) required high‐density panels of at least 1M variants. Finally, genotype likelihoods increased the quality of variant calling from low coverage resequencing but proportions of incorrect genotypes remained substantial, especially for heterozygote sites. Whole genome resequencing coverage of at least 5× appeared to be necessary for accurate assessment of genomic variations. These results have implications for studies seeking to deploy low‐density SNP collections or genome scans across genetically diverse populations/species showing similar genetic characteristics and patterns of LD decay for a wide variety of purposes.
Prediction of acute kidney injury after left ventricular assist device implantation: Evaluation of clinical risk scores
Authors: Pilarczyk Kevin , Carstens Henning , Papathanasiou Maria , Luedike Peter , Koch Achim , Jakob Heinz , Kamler Markus , Pizanis Nikolaus 
Published: July 2019

AbstractAcute kidney injury (AKI) is frequent in patients scheduled for implantation of a left ventricular assist device (LVAD) and associated with increased mortality. Although several risk models for the prediction of postoperative renal replacement therapy (RRT) have been developed for cardiothoracic patients, none of these scoring systems have been validated in LVAD patients. A retrospective, single center analysis of all patients undergoing LVAD implantation between September 2013 and July 2016 was performed. Primary outcome was AKI requiring RRT within 14 days after surgery. The predictive capacity of the Cleveland Clinic Score (CCS), the Society of Thoracic Surgeons Score (STS), and the Simplified Renal Index Score (SRI) were evaluated. 76 patients underwent LVAD implantation, 19 patients were excluded due to preoperative RRT. RRT was associated with a prolonged ventilation time, length of stay on the ICU and 180 day mortality (14(60.9%) vs 6(17.6%), P < .01). Whereas the Thakar Score (7.43 ± 1.75 vs 6.44 ± 1.44, P = .02) and the Mehta Score (28.12 ± 15.08 vs 21.53 ± 5.43, P = .02) were significantly higher in patients with RRT than in those without RRT, the SRI did not differ between these groups (3.96 ± 1.15 vs 3.44 ± 1.05, P = .08). Using ROC analyses, CCS, STS, and SRI showed moderate predictive capacity for RRT with an AUC of 0.661 ± 0.073 (P = .040), 0.637 ± 0.079 (P = .792), and 0.618 ± 0.075 (P = .764), respectively, with comparable accuracy in the Delong test. Using univariate logistic regression analysis, only the De Ritis Ratio (OR 2.67, P = .034) and MELD (OR 1.11, P = .028) were identified as predictors of postoperative RRT. Risk scores which are predictive in general cardiac surgery cannot predict RRT in patients after LVAD implantation. Therefore, it seems to be necessary to develop a specific risk score for this patient population.
Laparoscopic stomach‐partitioning gastrojejunostomy in preparation for distal gastrectomy and Billroth‐II reconstruction after neoadjuvant chemotherapy for advanced gastric cancer with gastric outlet obstruction: A case report
Authors: Ishida Hiroyuki , Cho Haruhiko , Tsuchida Kazuhito , Onoyama Haruna , Maezawa Yukio 
Published: July 2019

AbstractGastrojejunostomy has been performed as a palliative treatment for unresectable, advanced gastric cancer patients with gastric outlet obstruction (GOO). However, its role before neoadjuvant chemotherapy (NAC) has not been established. We present the case of a 72‐year‐old man with distal advanced gastric cancer with GOO. Computed tomography showed para‐aortic lymph node (PAN) metastasis without other distal metastasis. We performed laparoscopic stomach‐partitioning gastrojejunostomy (LSPGJ), which avoided new gastrojejunostomy reconstruction when performing distal gastrectomy after NAC. His oral intake improved after surgery and NAC was successfully administered on postoperative day 14, without surgical complications. After completion of NAC, the patient underwent radical distal gastrectomy with gastrojejunostomy reused as Billroth‐II reconstruction. A histological examination revealed no residual cancer cells. LSPGJ, with partitioning on the expected resection line in distal gastrectomy after NAC, can be useful for treating advanced gastric cancer with GOO when NAC followed by curative gastrectomy is planned.
Trajectories of Depressive Symptoms Among North American Indigenous Adolescents: Considering Predictors and Outcomes
Authors: Martinez Miriam M. , Armenta Brian E. 
Published: July 2019

We identified developmental trajectories of depressive symptoms among 674 Indigenous adolescents (Mage = 11.10, SD = 0.83 years) progressing from early to late adolescence. Four depressive symptoms trajectories were identified: (a) sustained low, (b) initially low but increasing, (c) initially high but decreasing, and (d) sustained high levels of depressive symptoms. Trajectory group membership varied as a function of gender, pubertal development, caregiver major depression, and perceived discrimination. Moreover, participants in the different trajectory groups were at differential risk for the development of an alcohol use disorder. These results highlight the benefit of examining the development of depressive symptoms and the unique ways that depressive symptoms develop among North American Indigenous youth as they progress through adolescence.
Quantifying the Error of Light Transport Algorithms
Authors: Celarek A. , Jakob W. , Wimmer M. , Lehtinen J. 
Published: July 2019

AbstractThis paper proposes a new methodology for measuring the error of unbiased physically based rendering algorithms. The current state of the art includes mean squared error (MSE) based metrics and visual comparisons of equal‐time renderings of competing algorithms. Neither is satisfying as MSE does not describe behavior and can exhibit significant variance, and visual comparisons are inherently subjective. Our contribution is two‐fold: First, we propose to compute many short renderings instead of a single long run and use the short renderings to estimate MSE expectation and variance as well as per‐pixel standard deviation. An algorithm that achieves good results in most runs, but with occasional outliers is essentially unreliable, which we wish to quantify numerically. We use per‐pixel standard deviation to identify problematic lighting effects of rendering algorithms. The second contribution is the error spectrum ensemble (ESE), a tool for measuring the distribution of error over frequencies. The ESE serves two purposes: It reveals correlation between pixels and can be used to detect outliers, which offset the amount of error substantially.
Deep‐learning the Latent Space of Light Transport
Authors: Hermosilla P. , Maisch S. , Ritschel T. , Ropinski T. 
Published: July 2019

AbstractWe suggest a method to directly deep‐learn light transport, i. e., the mapping from a 3D geometry‐illumination‐material configuration to a shaded 2D image. While many previous learning methods have employed 2D convolutional neural networks applied to images, we show for the first time that light transport can be learned directly in 3D. The benefit of 3D over 2D is, that the former can also correctly capture illumination effects related to occluded and/or semi‐transparent geometry. To learn 3D light transport, we represent the 3D scene as an unstructured 3D point cloud, which is later, during rendering, projected to the 2D output image. Thus, we suggest a two‐stage operator comprising a 3D network that first transforms the point cloud into a latent representation, which is later on projected to the 2D output image using a dedicated 3D‐2D network in a second step. We will show that our approach results in improved quality in terms of temporal coherence while retaining most of the computational efficiency of common 2D methods. As a consequence, the proposed two stage‐operator serves as a valuable extension to modern deferred shading approaches.
Etiological distribution and clinical features of fever of unknown origin with pulmonary lesions in South China
Authors: Jiang Ying , Zhuo Chao , Huang Junting , Tan Yunfang , Guan Yubao 
Published: July 2019

AbstractIntroductionFever of unknown origin (FUO) with pulmonary lesions is a common syndrome in respiratory diseases, which can be caused by infection, cancer, connective tissue disease and other rare diseases of South China. In patients with FUO associated with pulmonary lesions, pathogeny should be identified and followed by an appropriate treatment strategy.ObjectiveThis study aimed to investigate the etiological distribution and clinical features of FUO with pulmonary lesions and to analyze the efficiency of different diagnostic methods for certain disease categories.MethodsPatients hospitalized at the Guangzhou Institute of Respiratory Health from July 2012 to December 2016 who had fever ≥38.3°C that lasted ≥21 days, in whom the chest X‐ray or computed tomography (CT) revealed definite pulmonary infiltration, and for whom, despite being examined for a week, no definitive diagnosis could be made, were considered for this study.ResultsA total of 104 patients were identified as having FUO with lung lesions, and 89.4% (93/104) patients were definitively diagnosed. Infectious disease was the most common cause (46.2%, 48/104). Histopathology was instrumental in the diagnosis of the causes of FUO with pulmonary manifestations, 47.3% (44/93) patients were diagnosed through histopathology, 35.4% (17/48) with infectious disease and 55.2% (16/29) with connective tissue diseases as the etiology were definitely diagnosed using histopathology.ConclusionMost FUO with pulmonary lesions are identified during infections and autoimmune diseases. The most important diagnostic measure for FUO with pulmonary lesions is histopathology. Additionally, lung biopsy must be encouraged in multi‐level hospitals in the future.
Prevention of type 2 diabetes in prediabetic patients by using functional olive oil enriched in oleanolic acid: The PREDIABOLE study, a randomized controlled trial
Authors: Santos‐Lozano José M. , Rada Mirela , Lapetra José , Guinda Ángeles , Jiménez‐Rodríguez María C. , Cayuela José A. , Ángel‐Lugo Antonio , Vilches‐Arenas Ángel , Gómez‐Martín Ana M. , Ortega‐Calvo Manuel , Castellano José M. 
Published: July 2019

AbstractAimTo assess whether the regular intake of an oleanolic acid (OA)‐enriched olive oil is effective in the prevention of diabetes.MethodsIn the PREDIABOLE study, prediabetic individuals (impaired fasting glucose and impaired glucose tolerance) of both sexes (176 patients, aged 30‐80 years) were randomized to receive 55 mL/day of OA‐enriched olive oil (equivalent dose 30 mg OA/day) [intervention group (IG)] or the same oil not enriched [control group (CG)]. The main outcome was the incidence of new‐onset type 2 diabetes in both groups.ResultsForty‐eight new diabetes cases occurred, 31 in the CG and 17 in the IG. The multivariate‐adjusted hazard ratio was 0.45 (95% CI, 0.24‐0.83) for the IG compared with the CG. Intervention‐related adverse effects were not reported.ConclusionsThe intake of OA‐enriched olive oil reduces the risk of developing diabetes in prediabetic patients. The results of the PREDIABOLE study promote the use of OA in new functional foods and drugs for the prevention of diabetes in individuals at risk of developing it.