bluuebunny/crossref_metadata_2025_split huggingface dataset:
Laparoscopic-endoscopic Rendezvous Procedures for Upper Gastrointestinal Tumors Guided by Laser-supported Reverse Diaphanoscopy: A Modified Technique
Authors: Patrzyk Maciej , Glitsch Anne , Beyer Katharina , Lünse Sebastian , Höhn Johanes , Heidecke Claus Dieter , Keßler Wolfram 
Published: May 2019

Introduction:
Precisely locating benign upper gastrointestinal tumors during laparoscopic-endoscopic surgery remains difficult and inaccurate. We describe reverse laser-supported diaphanoscopy (RLSD) for locating gastrointestinal tumors during laparoscopic surgery and present prospective evaluation results of the first cases.

Materials and Methods:
We studied 13 patients [women:men=7:6; mean age, 67 (range, 41 to 83) y] who underwent gastroscopic-laparoscopic rendezvous procedures during 2015 to 2018. Surgery duration, marking duration, and specimen resection size were recorded. The largest and smallest specimen resection margins were measured.

Results:
After locating tumors using RLSD, patients underwent successful resections. Histopathologic examination confirmed 5 cases of gastrointestinal stromal tumor; 3, neuroendocrine tumors; 2, heterotopic pancreatic tissue; 1, leiomyoma; 1, adenoma; 1, hyperplastic polyp. We employed 4 to 6 marks, depending on tumor location and size. The average marking duration was 14 minute (1 to 21 min); the average surgery duration, 73 minute (37 to 143 min). The smallest resection median margin was 2.0 mm (1.0 to 5.0 mm); the largest, 7.0 mm (2.0 to 12.0 mm).

Conclusions:
RLSD precisely locates gastric benign tumors during laparoscopic-endoscopic rendezvous procedures.
Impact of Patient Age on Morbidity and Survival Following Laparoscopic Pancreaticoduodenectomy
Authors: Meng Lingwei , Xia Qinghong , Cai Yunqiang , Wang Xin , Li Yongbin , Cai He , Peng Bing 
Published: May 2019

Purposes:
To present preliminary perioperative and long-term outcomes in elderly patients compared with younger patients who underwent laparoscopic pancreaticoduodenectomy (LPD).

Materials and Methods:
A total of 199 patients who underwent LPD were included in this study. The primary data relating to these patients were collected and analyzed in our center from October 2010 to 2017.

Results:
The intraoperative and postoperative information, including the rate and severity of short-term complications, pathologic outcomes, and other surgical outcomes, showed no significant differences between the 2 groups. Furthermore, the median overall survival for 2 malignant diseases of the young patients was not significantly better than the elderly.

Conclusions:
Our data suggest that patient age showed little influence on postoperative morbidity, mortality, and long-term survival in pancreatic adenocarcinoma and periampullary adenocarcinoma following LPD, whereas studies with larger sample sizes and longer follow-up are necessary before definitive conclusions can be made.
Letermovir as Salvage Therapy for Cytomegalovirus Infection in Transplant Recipients
Authors: Phoompoung Pakpoom , Ferreira Victor H. , Tikkanen Jussi , Husain Shahid , Viswabandya Auro , Kumar Deepali , Humar Atul 
Published: May 2019

Background.
Letermovir, a new viral terminase complex inhibitor, has been approved for the prevention of cytomegalovirus (CMV) infection in hematopoietic stem cell transplant patients. However, data on the efficacy and safety of letermovir for the treatment of CMV infection in transplant recipients remain scarce.

Methods.
We performed a single-center retrospective study of stem cell and organ transplant recipients who received letermovir for the treatment of CMV infection from November 2017 to October 2018.

Results.
Six patients were included, and 5 were evaluable. All received letermovir in the context of a refractory or resistant CMV infection including asymptomatic CMV viremia (n = 3), CMV syndrome (n = 1), and CMV pneumonitis and colitis (n = 1). The 3 asymptomatic patients experienced a decrease of the viral load (VL) to <200 IU/mL after letermovir therapy. One patient displayed a partial VL response (2-log of VL reduction) but a good clinical response, and one who received a suboptimal dose of letermovir experienced an increase of viremia. There were no treatment-related adverse effects.

Conclusions.
We demonstrate mixed efficacy in patients with refractory CMV infection suggesting that letermovir may be a useful therapeutic adjunct, potentially in combination with other antivirals.
Analysing livestock network data for infectious disease control: an argument for routine data collection in emerging economies
Authors: Chaters G. L. , Johnson P. C. D. , Cleaveland S. , Crispell J. , de Glanville W. A. , Doherty T. , Matthews L. , Mohr S. , Nyasebwa O. M. , Rossi G. , Salvador L. C. M. , Swai E. , Kao R. R. 
Published: May 2019

Livestock movements are an important mechanism of infectious disease transmission. Where these are well recorded, network analysis tools have been used to successfully identify system properties, highlight vulnerabilities to transmission, and inform targeted surveillance and control. Here we highlight the main uses of network properties in understanding livestock disease epidemiology and discuss statistical approaches to infer network characteristics from biased or fragmented datasets. We use a ‘hurdle model’ approach that predicts (i) the probability of movement and (ii) the number of livestock moved to generate synthetic ‘complete’ networks of movements between administrative wards, exploiting routinely collected government movement permit data from northern Tanzania. We demonstrate that this model captures a significant amount of the observed variation. Combining the cattle movement network with a spatial between-ward contact layer, we create a multiplex, over which we simulated the spread of ‘fast’ (R0= 3) and ‘slow’ (R0= 1.5) pathogens, and assess the effects of random versus targeted disease control interventions (vaccination and movement ban). The targeted interventions substantially outperform those randomly implemented for both fast and slow pathogens. Our findings provide motivation to encourage routine collection and centralization of movement data to construct representative networks.This article is part of the theme issue ‘Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control’. This theme issue is linked with the earlier issue ‘Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes’.
Optimizing spatial and seasonal deployment of vaccination campaigns to eliminate wildlife rabies
Authors: Baker Laurie , Matthiopoulos Jason , Müller Thomas , Freuling Conrad , Hampson Katie 
Published: May 2019

Understanding how the spatial deployment of interventions affects elimination time horizons and potential for disease re-emergence has broad application to control programmes targeting human, animal and plant pathogens. We previously developed an epidemiological model that captures the main features of rabies spread and the impacts of vaccination based on detailed records of fox rabies in eastern Germany during the implementation of an oral rabies vaccination (ORV) programme. Here, we use simulations from this fitted model to determine the best vaccination strategy, in terms of spatial placement and timing of ORV efforts, for three epidemiological scenarios representative of current situations in Europe. We found that consecutive and comprehensive twice-yearly vaccinations across all regions rapidly controlled and eliminated rabies and that the autumn campaigns had the greater impact on increasing the probability of elimination. This appears to result from the need to maintain sufficient herd immunity in the face of large birth pulses, as autumn vaccinations reach susceptible juveniles and therefore a larger proportion of the population than spring vaccinations. Incomplete vaccination compromised time to elimination requiring the same or more vaccination effort to meet similar timelines. Our results have important practical implications that could inform policies for rabies containment and elimination in Europe and elsewhere.This article is part of the theme issue ‘Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control’. This theme issue is linked with the earlier issue ‘Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes’.
How decision makers can use quantitative approaches to guide outbreak responses
Authors: Morgan Oliver 
Published: May 2019

Decision makers are responsible for directing staffing, logistics, selecting public health interventions, communicating to professionals and the public, planning future response needs, and establishing strategic and tactical priorities along with their funding requirements. Decision makers need to rapidly synthesize data from different experts across multiple disciplines, bridge data gaps and translate epidemiological analysis into an operational set of decisions for disease control. Analytic approaches can be defined for specific response phases: investigation, scale-up and control. These approaches include: improved applications of quantitative methods to generate insightful epidemiological descriptions of outbreaks; robust investigations of causal agents and risk factors; tools to assess response needs; identifying and monitoring optimal interventions or combinations of interventions; and forecasting for response planning. Data science and quantitative approaches can improve decision-making in outbreak response. To realize these benefits, we need to develop a structured approach that will improve the quality and timeliness of data collected during outbreaks, establish analytic teams within the response structure and define a research agenda for data analytics in outbreak response.
This article is part of the theme issue ‘Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control’. This theme issue is linked with the earlier issue ‘Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes’.
Gut microbiome activity contributes to individual variation in glycemic response in adults
Authors: Tily Hal , Perlina Ally , Patridge Eric , Gline Stephanie , Genkin Matvey , Gopu Vishakh , Lindau Haely , Sjue Alisson , Slavov Iordan , Klitgord Niels , Vuyisich Momchilo , Messier Helen , Banavar Guruduth 
Published: May 2019

AbstractLimiting post-meal glycemic response is an important factor in reducing the risk of chronic metabolic diseases, and contributes to significant health benefits in people with elevated levels of blood sugar. In this study, we collected gut microbiome activity (i.e., metatranscriptomic) data and measured the glycemic responses of 550 adults who consumed more than 30,000 meals from omnivore or vegetarian/gluten-free diets. We demonstrate that gut microbiome activity makes a statistically significant contribution to individual variation in glycemic response, in addition to anthropometric factors and the nutritional composition of foods. We describe predictive models (multilevel mixed-effects regression and gradient boosting machine) of variation in glycemic response among individuals ingesting the same foods. We introduce functional features aggregated from microbial activity data as candidates for association with mechanisms of glycemic control. In summary, we demonstrate for the first time that metatranscriptomic activity of the gut microbiome is correlated with glycemic response among adults.
Insufficiency in airway interferon activation defines clinical severity to infant RSV infection
Authors: Chu Chin-Yi , Qiu Xing , McCall Matthew N. , Wang Lu , Corbett Anthony , Holden-Wiltse Jeanne , Slaunwhite Christopher , Wang Qian , Anderson Christopher , Grier Alex , Gill Steven R. , Pryhuber Gloria S. , Falsey Ann R. , Topham David J. , Caserta Mary T. , Walsh Edward E. , Mariani Thomas J 
Published: May 2019

AbstractRespiratory syncytial virus (RSV) is the leading cause of severe respiratory disease in infants. Other than age at the time of infection, the causes and correlates of severe illness in infants lacking known risk factors are poorly defined. We recruited a cohort of confirmed RSV-infected infants and simultaneously assayed the presence of resident airway microbiota and the molecular status of their airways using a novel method. Rigorous statistical analyses identified a molecular airway gene expression signature of severe illness dominated by excessive chemokine expression. Global 16S rRNA sequencing confirmed an association between H. influenzae and clinical severity. Interestingly, adjusting for H. influenzae in our gene expression analysis revealed an association between severity and airway lymphocyte accumulation. Exploring the relationship between airway gene expression and the time of onset of clinical symptoms revealed a robust, acute activation of interferon (IFN) signaling, which was absent in subjects with severe illness. Finally, we explored the relationship between IFN activity, airway gene expression and productive RSV infection using a novel in vitro model of bona fide pediatric human airway epithelial cells. Interestingly, blocking IFN signaling, but not IFN ligand production, in these cells leads to increased viral infection. Our data reveal that acute airway interferon responses are physiologically relevant in the context of infant RSV infection and may be a target for therapeutic intervention. Additionally, the airway gene expression signature we define may be useful as a biomarker for efficacy of intervention responses.
Muscle torques provide more sensitive measures of post-stroke movement deficits than joint angles
Authors: Thomas Ariel B. , Olesh Erienne V. , Adcock Amelia , Gritsenko Valeriya 
Published: May 2019

AbstractThe whole repertoire of complex human motion is enabled by forces applied by our muscles and controlled by the nervous system. The of stroke on the complex multi-joint motor control is difficult to quantify in a meaningful way that informs about the underlying deficit in the active motor control and intersegmental coordination. We tested the idea that post-stroke deficit can be quantified with high sensitivity using motion capture and inverse modeling of a broad range of reaching movements. Our hypothesis is that muscle moments estimated based on active joint torques provide a more sensitive measure of post-stroke motor deficits than joint angle and angular velocity. The motion of twenty-two participants was captured while performing reaching movements in a center-out task, presented in virtual reality. We used inverse dynamics analysis to derive active joint torques that were the result of muscle contractions, termed muscle torques, that caused the recorded multi-joint motion. We then applied a novel analysis to separate the component of muscle torque related to gravity compensation from that related to intersegmental dynamics. Our results show that individual reaching movements can be characterized with higher information content using muscle torques rather than joint angles. Moreover, muscle torques allow for distinguishing between the individual motor deficits due to aging or stroke from the typical differences in reaching between healthy individuals. This novel quantitative assessment method may be used in conjunction with home-based gaming motion-capture technology for remote monitoring of motor deficits and inform the development of evidence-based robotic therapy interventions.New and NoteworthyFunctional deficits seen in task performance have biomechanical underpinnings, seen only through the analysis of forces. Our study has shown that estimating muscle moments can quantify with high sensitivity post-stroke deficits in intersegmental coordination. An assessment developed based on this method could help quantify less observable deficits in mildly affected stroke patients. It may also bridge the gap between evidence from studies of constrained or robotically manipulated movements and research with functional and unconstrained movements.
Precision-targeted metabolomics method characterizes differential metabolomes in multiple-biological matrixes and cell-mitochondria
Authors: Luo Xialin , Guo Rui , Liu Jingjing , Zhang Aihua , Wang Xijun , Lu Haitao 
Published: May 2019

AbstractThis new method has the capacity to dynamically analyse the metabolome of interest in diverse biological matrixes by offering coverage of rat urine, plasma, liver, brain, intestine, stomach, heart, spleen, lung, faeces, fresh plant tissues, cells and microbes. In addition, this new method enables specific and efficient analysis of microdontia metabolomes, non-microdontia and whole cell metabolomes, as well as can engage in absolute determination of 84 key clinical-wide metabolites in different biological matrixes, to enable the complementary support of clinical diagnosis and classification of diseases. To demonstrate the applicable capacity of this new method, multiple-matrixes differential metabolomes were firstly characterized using this new method to coordinate metabolic modifications underlie hepatitis induced by carbon tetrachloride (CCL4) in rats, such finding provides novel insight into the pathogenesis and therapeutics of hepatitis in clinic. Altogether, we are fully confident that this new metabolomics method will be widely welcomed by scientists in different niches to solve their key questions accordingly.
Boat anchors not OK: Loss of Dugong grass (Halophila ovalis) population structure in Havelock island of Andaman and Nicobar Islands, India
Authors: Mishra A.K. , Sumantha N.S. , Deepak A. 
Published: May 2019

AbstractAnthropogenic disturbance due to deployment of boat anchors and loss of seagrass ecosystem is not well understood in India. So, we used Govind Nagar beach of Havelock Island of Andaman and Nicobar Islands (ANI)to assess the impacts of boat anchors from traditional fishing and recreational activities on the seagrass Halophila ovalis population structure. H. ovalis density, biomass, morphometrics, canopy height and percentage cover were estimated from two stations of Govind Nagar beach i.e., one highly impacted from boat anchors (Station1) and a sheltered station (Station 2). A clear evidence in reduction of shoot density of H. ovalis was observed at station 1, exception was similar apex densities between both stations. H. ovalis morphometrics, such as number of leaves per shoot, leaf length, width and horizontal rhizome length were observed with significant lower values at station 1 compared to the sheltered station 2. Reduction in seagrass morphometrics also resulted in the loss of seagrass canopy height and percentage cover. A clear evidence of loss of seagrass population structure under the influence of physical disturbances caused by boat anchors were observed. We report for the first time the impacts of boat anchors on seagrass ecosystems of India and our results pitch for wider studies across India. The impact of boat anchors is small-scale, but in long-term loss of seagrass ecosystem services will have dire consequences on fish habitat and carbon storage. Therefore, proper management and conservation measures should be taken to prevent the loss of important dugong grass habitats of ANI.HighlightsPhysical disturbances caused by boat anchors decreased the shoot density of H. ovalis by 1.2-fold.1 to 2-fold reduction in canopy height and the morphological features of individual plants were observed due to damage caused by boat anchorsHabitat disturbance reduced 1.6-fold percentage cover of H. ovalis at Havelock Island of Andaman and Nicobar Islands, India
A 3500-year-old leaf from a Pharaonic tomb reveals that New Kingdom Egyptians were cultivating domesticated watermelon
Authors: Renner Susanne S. , Pérez-Escobar Oscar A. , Silber Martina V. , Nesbitt Mark , Preick Michaela , Hofreiter Michael , Chomicki Guillaume 
Published: May 2019

AbstractDomestication of the watermelon (Citrullus lanatus) has alternatively been placed in South Africa, the Nile valley, or more recently West Africa, with the oldest archeological evidence coming from Libya and Egypt. The geographic origin and domestication of watermelons has therefore remained unclear. Using extensive nuclear and plastid genomic data from a 3,560-year-oldCitrullusleaf from a mummy’s sarcophagus and skimmed genomes for representatives of the seven extant species ofCitrullus, we show that modern cultivars and the ancient plant uniquely share mutations in a lycopene metabolism gene (LYCB) affecting pulp color and a stop codon in a transcription factor regulating bitter cucurbitacin compounds. This implies that the plant we sequenced had red-fleshed and sweet fruits and that New Kingdom Egyptians were cultivating domesticated watermelons. The genomic data also identify extant Sudanese watermelons with white, sweet pulp as the closest relatives of domesticated watermelons.Significance statementWith some 197.8 million tons in 2017, watermelon,Citrullus lanatus, is among the World’s most important crops, yet its area of origin and domestication have remained unclear, with competing hypotheses favoring South Africa, West Africa, Central Africa, or the Nile valley. We generated extensive nuclear and plastid genomic data from a 3500-year-old leaf from a Pharaonic sarcophagus and performed genome skimming for representatives of all otherCitrullusspecies to compare key genes involved in fruit bitterness and color. White-fleshed, non-bitter melons from southern Sudan are the closest relatives of domesticated watermelon, and the ancient genome shares unique alleles with a red-fleshed, non-bitter domesticated form (but no wild forms), implying that 18thDynasty Egyptians were cultivating domesticated watermelon by 3500 years ago.
Smaller businesses and e-innovation: a winning combination in Australia
Authors: Alam Khorshed , Adeyinka Adewuyi Ayodele , Wiesner Retha 
Published: May 2019

Purpose
The purpose of this paper is to understand whether or not factors that impact the performance–innovation nexus differ from one percentage level of performance to another among small- and medium-sized enterprises in regional Australia, with a specific focus on e-innovation by strategic and non-strategic firms in the agricultural sector and in other industries.

Design/methodology/approach
Researchers implicitly assumed that the performance–innovation relationship is uniform across high-level, mid-level and low-level performing small- and medium-sized enterprises. In this study, the authors analysed performance at different percentage levels.

Findings
The findings indicate that the levels of small- and medium-sized enterprises performance have a significant difference in terms of the factors influencing their performance. The industry may be a determinant of performance, which is similar in the case of the topmost performers in the non-agricultural sector. The major findings of this study are as follows: the performance–innovation relationship differs by the percentage level of small- and medium-sized enterprises performance; and Solow’s productivity paradox exists at the firm level.

Practical implications
The authors recommend that rural policies should target low-performing firms. Moreover, researchers should adopt methodologies that shed light on the differences in the performance–innovation nexus across performance levels rather than one-size-fits-all methodologies that are often adopted.

Originality/value
The major contributions of this study are that the performance–innovation relationship differs by the level of small- and medium-sized enterprises performance, and Solow’s productivity paradox exists at the firm level.