bluuebunny/crossref_metadata_2025_split huggingface dataset:
Short-term impact of COVID-19 lockdown on metabolic control of patients with well-controlled type 2 diabetes: a single-centre observational study
Authors: Biancalana Edoardo , Parolini Federico , Mengozzi Alessandro , Solini Anna 
Published: November 2020

Abstract
Aims/hypothesis
The strict rules applied in Italy during the recent COVID-19 pandemic, with the prohibition to attend any regular outdoor activity, are likely to influence the degree of metabolic control in patients with type 2 diabetes. We explored such putative effect immediately after the resolution of lockdown rules, in the absence of any variation of pharmacologic treatment.

Methods
One-hundred and fourteen patients with adequate metabolic control took part in this single-centre, prospective, observational study. The metabolic profile tested 1 week after the end of the lockdown was compared with the last value and the mean of the last three determinations performed before the pandemic emergency (from 6 months to 2 years before).

Results
After 8 weeks of lockdown, an increase of HbA1c > 0.3% (mean +0.7%) was observed in 26% of the participants; these were also characterized by a persistent elevation in serum triglycerides able to predict the worsening of glucose control.

Conclusions
Lockdown determined a relevant short-term metabolic worsening in approximately one-fourth of previously well-controlled type 2 diabetic individuals; pre-lockdown triglycerides were the only parameter able to predict such derangement of glucose control.
Factors influencing the fascial closure rate after open abdomen treatment: Results from the European Hernia Society (EuraHS) Registry
Authors: Willms A. G. , Schwab R. , von Websky M. W. , Berrevoet F. , Tartaglia D. , Sörelius K. , Fortelny R. H. , Björck M. , Monchal T. , Brennfleck F. , Bulian D. , Beltzer C. , Germer C. T. , Lock J. F. ,   EURAHS Open Abdomen Group, Güsgen C. , Schaaf S. , Anger F. , Fuhr S. , Kiesel M. , Schmidt R. , Kalff J. C. , Vilz T. O. , Galatioto C. , Cobuccio L. , Hoffmann A. , Schlitt H. J. , Heiss M. , Muysoms F. , Oldhafer K. , Dietz U. , Björck Martin , Vanlander A. 
Published: November 2020

Abstract
Purpose
Definitive fascial closure is an essential treatment objective after open abdomen treatment and mitigates morbidity and mortality. There is a paucity of evidence on factors that promote or prevent definitive fascial closure.

Methods
A multi-center multivariable analysis of data from the Open Abdomen Route of the European Hernia Society included all cases between 1 May 2015 and 31 December 2019. Different treatment elements, i.e. the use of a visceral protective layer, negative-pressure wound therapy and dynamic closure techniques, as well as patient characteristics were included in the multivariable analysis. The study was registered in the International Clinical Trials Registry Platform via the German Registry for Clinical Trials (DRK00021719).

Results
Data were included from 630 patients from eleven surgical departments in six European countries. Indications for OAT were peritonitis (46%), abdominal compartment syndrome (20.5%), burst abdomen (11.3%), abdominal trauma (9%), and other conditions (13.2%). The overall definitive fascial closure rate was 57.5% in the intention-to-treat analysis and 71% in the per-protocol analysis. The multivariable analysis showed a positive correlation of negative-pressure wound therapy (odds ratio: 2.496, p < 0.001) and dynamic closure techniques (odds ratio: 2.687, p < 0.001) with fascial closure and a negative correlation of intra-abdominal contamination (odds ratio: 0.630, p = 0.029) and the number of surgical procedures before OAT (odds ratio: 0.740, p = 0.005) with DFC.

Conclusion
The clinical course and prognosis of open abdomen treatment can significantly be improved by the use of treatment elements such as negative-pressure wound therapy and dynamic closure techniques, which are associated with definitive fascial closure.
Effectiveness and safety of nivolumab in patients with head and neck cancer in Japanese real-world clinical practice: a multicenter retrospective clinical study
Authors: Hanai Nobuhiro , Shimizu Yasushi , Kariya Shin , Yasumatsu Ryuji , Yokota Tomoya , Fujii Takashi , Tsukahara Kiyoaki , Yoshida Masafumi , Hanyu Kenji , Ueda Tsutomu , Hirakawa Hitoshi , Takahashi Shunji , Ono Takeharu , Sano Daisuke , Yamauchi Moriyasu , Watanabe Akihito , Omori Koichi , Yamazaki Tomoko , Monden Nobuya , Kudo Naomi , Arai Makoto , Sakurai Daiju , Asakage Takahiro , Doi Issei , Yamada Takayuki , Homma Akihiro 
Published: November 2020

Abstract
Background
To fill the data gap between clinical trials and real-world settings, this study assessed the overall effectiveness and safety of nivolumab in patients with head and neck cancer (HNC) during Japanese real-world clinical practice.

Methods
This was a multicenter, retrospective study in Japanese patients with recurrent or metastatic HNC who received nivolumab for the first time between July and December 2017. Data on the clinical use, effectiveness, and safety of nivolumab were extracted from patient medical records.

Results
Overall, 256 patients were enrolled in this study. The median duration of nivolumab treatment was 72.5 days, with patients receiving a median of 6.0 (range 1–27) doses. Median overall survival (OS) was 9.5 (95% confidence interval [CI] 8.2–12.0) months and the estimated 12-month OS rate was 43.2%. The objective response rate (ORR) was 15.7% overall and 21.1%, 7.1%, and 13.6% in patients with primary nasopharynx, maxillary sinus, and salivary gland tumors, respectively, who had been excluded from CheckMate 141. Grade ≥ 3 immune-related adverse events occurred in 5.9% of patients. No new safety signals were identified compared with adverse events noted in CheckMate 141.

Conclusions
The effectiveness and safety of nivolumab in real-world clinical practice are consistent with data from the CheckMate 141 clinical trial. Therapeutic response was also observed in the groups of patients excluded from CheckMate 141.

Trial registration number
UMIN-CTR (UMIN000032600), Clinicaltrials.gov (NCT03569436)
Classification score approach for detecting adversarial example in deep neural network
Authors: Kwon Hyun , Kim Yongchul , Yoon Hyunsoo , Choi Daeseon 
Published: November 2020

AbstractDeep neural networks (DNNs) provide superior performance on machine learning tasks such as image recognition, speech recognition, pattern analysis, and intrusion detection. However, an adversarial example, created by adding a little noise to an original sample, can cause misclassification by a DNN. This is a serious threat to the DNN because the added noise is not detected by the human eye. For example, if an attacker modifies a right-turn sign so that it misleads to the left, autonomous vehicles with the DNN will incorrectly classify the modified sign as pointing to the left, but a person will correctly classify the modified sign as pointing to the right. Studies are under way to defend against such adversarial examples. The existing method of defense against adversarial examples requires an additional process such as changing the classifier or modifying input data. In this paper, we propose a new method for detecting adversarial examples that does not invoke any additional process. The proposed scheme can detect adversarial examples by using a pattern feature of the classification scores of adversarial examples. We used MNIST and CIFAR10 as experimental datasets and Tensorflow as a machine learning library. The experimental results show that the proposed method can detect adversarial examples with success rates: 99.05% and 99.9% for the untargeted and targeted cases in MNIST, respectively, and 94.7% and 95.8% for the untargeted and targeted cases in CIFAR10, respectively.
Assessment of cetacean–fishery interactions in the marine food web of the Gulf of Taranto (Northern Ionian Sea, Central Mediterranean Sea)
Authors: Carlucci Roberto , Capezzuto Francesca , Cipriano Giulia , D’Onghia Gianfranco , Fanizza Carmelo , Libralato Simone , Maglietta Rosalia , Maiorano Porzia , Sion Letizia , Tursi Angelo , Ricci Pasquale 
Published: November 2020

AbstractThe exploitation of fishery resources acts as a driving force on cetaceans both directly, by determining their fishing mortality or injury as by-catch species, and indirectly, through the lowering the availability of their prey. This competitive overlap between fishing and cetaceans often results in inadequate solutions so that in some cases there have been cases of intentional cetacean culling to maximize fishing production. A modelling approach applied to investigate the ecological roles of cetaceans in the food web could prove more effective to integrate ecological and fishing aspects and to provide suggestions for management. The comparative analysis carried out in the Gulf of Taranto (Northern Ionian Sea, Central Mediterranean Sea) showed that fishing exploitation provides impacts on the investigated food web greater than those due to cetacean predation. Trawling was estimated to be the most negatively impacting fishing gear considering the mortality rates and consumption flows. On the other hand, the striped dolphin was the main impact on the food web due to its highest consumption flows. Analysis showed a negative and non-selective impact on the exploited species due to the fishing gears, while the odontocetes proved to select their prey species and provide a positive impact in the assemblage. In particular, while the fishing gears are primarily size selective, targeting mostly large and economically valuable fish, the odontocetes seem to follow a co-evolution process with their prey, developing a specialization in their resources, providing control of the meso-consumers and ensuring a trophic stability in the ecosystem.
Review of trap-and-haul for managing Pacific salmonids (Oncorhynchus spp.) in impounded river systems
Authors: Kock Tobias J. , Ferguson John W. , Keefer Matthew L. , Schreck Carl B. 
Published: November 2020

AbstractHigh-head dams are migration barriers for Pacific salmon Oncorhynchus spp. in many river systems and recovery measures for impacted stocks are limited. Trap-and-haul has been widely used in attempts to facilitate recovery but information from existing programs has not been synthesized to inform improvements to aid recovery of salmonids in systems with high-head dams. We reviewed 17 trap-and-haul programs regarding Pacific salmon to: (1) summarize information about facility design, operation and biological effects; (2) identify critical knowledge gaps; and (3) evaluate trap-and-haul as a current and future management tool. Existing programs are operated to address a range of management goals including restoring access to historical habitats, temporarily reducing exposure to dangerous in-river conditions, and reintroducing ecological processes upstream from dams. Information gathered from decades of operation on facility design criteria and fish handling protocols, and robust literature on fish collection and passage are available. While many aspects of trap-and-haul have been evaluated, effects on population productivity and sustainability remain poorly understood. Long-term and systematic studies of trap-and-haul outcomes are rare, and assessments can be confounded by concurrent management actions and broad ecological and climatic effects. Existing data suggest that performance and effectiveness vary among programs and over various time scales within programs. Although critical information gaps exist, trap-and-haul is an important management and conservation tool for providing Pacific salmonids access to historical habitats. Successful application of trap-and-haul programs requires long-term commitment and an adaptive management approach by dam owners and stakeholders, and careful planning of new programs.
Review on the Relationship Between Liquid Aerospace Fuel Composition and Their Physicochemical Properties
Authors: Wang Xiaoyu , Jia Tinghao , Pan Lun , Liu Qing , Fang Yunming , Zou Ji-Jun , Zhang Xiangwen 
Published: November 2020

AbstractThe development of advanced air transportation has raised new demands for high-performance liquid hydrocarbon fuels. However, the measurement of fuel properties is time-consuming, cost-intensive, and limited to the operating conditions. The physicochemical properties of aerospace fuels are directly influenced by chemical composition. Thus, a thorough investigation should be conducted on the inherent relationship between fuel properties and composition for the design and synthesis of high-grade fuels and the prediction of fuel properties in the future. This work summarized the effects of fuel composition and hydrocarbon molecular structure on the fuel physicochemical properties, including density, net heat of combustion (NHOC), low-temperature fluidity (viscosity and freezing point), flash point, and thermal-oxidative stability. Several correlations and predictions of fuel properties from chemical composition were reviewed. Additionally, we correlated the fuel properties with hydrogen/carbon molar ratios (nH/C) and molecular weight (M). The results from the least-square method implicate that the coupling of H/C molar ratio and M is suitable for the estimation of density, NHOC, viscosity and effectiveness for the design, manufacture, and evaluation of aviation hydrocarbon fuels.
Study of bio-materials for removal of the oil spill
Authors: Wolok Eduart , Barafi Jamal , Joshi Navneet , Girimonte Rossella , Chakraborty Sudip 
Published: November 2020

AbstractThe major battle that the human civilization is facing in the present era is regarding pollution; one of a serious threat among these pollutions is the contamination of water bodies due to oil spills. Oil spills from ships, tankers, or leaks in marine oil pipes are something that is needed to deal with to make the earth a better place. To protect the water and the environment, this oil should be removed from the water or the surface. The chances for oil spills have reduced as we have observed there is a significant change in the pattern with the decrease of the use of tankers and pipelines for oil and petroleum derivatives. The point should be that according to the researchers, the marine ecosystem is damaged even more by the other sources of pollution even though the event of oil spills is certainly much sensational. There is an urgent requirement of advanced eco-friendly tools to eliminate spilled oil. Some studies suggest that the use of organic matter may be an effective step in such an oil spilled scenario. Organic matter acts as a sorbent, a surfactant, and a separator and can make using a variety of ingredients such as organic, inorganic, synthetic, or different, but they must interact with the biological system. Some organic materials can contaminate the water more than the oil that is spread, so eco-friendly, non-toxic, low-cost organic matter should be used for oil removal and recovery. If the oil is recovered from the environmental surface, then after the successful removal of that oil, it can be conducive to sustainable development. This review summarizes the overall perspective on the potential of different biomaterials for the removal of accidentally spilled oils.
Enriched Galerkin method for the shallow-water equations
Authors: Hauck Moritz , Aizinger Vadym , Frank Florian , Hajduk Hennes , Rupp Andreas 
Published: November 2020

AbstractThis work presents an enriched Galerkin (EG) discretization for the two-dimensional shallow-water equations. The EG finite element spaces are obtained by extending the approximation spaces of the classical finite elements by discontinuous functions supported on elements. The simplest EG space is constructed by enriching the piecewise linear continuous Galerkin space with discontinuous, element-wise constant functions. Similar to discontinuous Galerkin (DG) discretizations, the EG scheme is locally conservative, while, in multiple space dimensions, the EG space is significantly smaller than that of the DG method. This implies a lower number of degrees of freedom compared to the DG method. The EG discretization presented for the shallow-water equations is well-balanced, in the sense that it preserves lake-at-rest configurations. We evaluate the method’s robustness and accuracy using various analytical and realistic problems and compare the results to those obtained using the DG method. Finally, we briefly discuss implementation aspects of the EG method within our MATLAB / GNU Octave framework FESTUNG.
Comparative analysis of genomic- and EST-SSRs in European plum (Prunus domestica L.): implications for the diversity analysis of polyploids
Authors: Manco Rosanna , Chiaiese Pasquale , Basile Boris , Corrado Giandomenico 
Published: November 2020

AbstractSimple sequence repeats (SSRs) are among the most useful DNA markers in plant science. The aim of this study was to compare the features and usefulness of genomic SSR (gSSR) and EST-SSRs in European plum (Prunus domesticaL.), an economically important, hexaploid stone fruit crop globally cultivated to produce fleshy fruits and derived foodstuff. The analysis of an ample set of morphologically diverse varieties indicated that gSSRs and EST-SSRs provide different estimates of some of the locus-based indicators of diversity. Moreover, the two classes of SSRs gave different, weakly correlated, estimations of distance-based parameters with gSSRs being more powerful for discriminating purposes. The two SSR classes provide complementary information in European plum, making the contribution of EST-SSRs useful not only as non-neutral markers. The differences between SSR classes are discussed considering the neutral and non-neutral evolution, and the polyploidy and asexual propagation of the cultivated tree varieties.
Combined approach for optimal sensor placement and experimental verification in the context of tower-like structures
Authors: Reichert Ina , Olney Peter , Lahmer Tom 
Published: November 2020

AbstractWhen it comes to monitoring of huge structures, main issues are limited time, high costs and how to deal with the big amount of data. In order to reduce and manage them, respectively, methods from the field of optimal design of experiments are useful and supportive. Having optimal experimental designs at hand before conducting any measurements is leading to a highly informative measurement concept, where the sensor positions are optimized according to minimal errors in the structures’ models. For the reduction of computational time a combined approach using Fisher Information Matrix and mean-squared error in a two-step procedure is proposed under the consideration of different error types. The error descriptions contain random/aleatoric and systematic/epistemic portions. Applying this combined approach on a finite element model using artificial acceleration time measurement data with artificially added errors leads to the optimized sensor positions. These findings are compared to results from laboratory experiments on the modeled structure, which is a tower-like structure represented by a hollow pipe as the cantilever beam. Conclusively, the combined approach is leading to a sound experimental design that leads to a good estimate of the structure’s behavior and model parameters without the need of preliminary measurements for model updating.
A hybrid AI approach for supporting clinical diagnosis of attention deficit hyperactivity disorder (ADHD) in adults
Authors: Tachmazidis Ilias , Chen Tianhua , Adamou Marios , Antoniou Grigoris 
Published: November 2020

AbstractAttention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder that includes symptoms such as inattentiveness, hyperactivity and impulsiveness. It is considered as an important public health issue and prevalence of, as well as demand for diagnosis, has increased as awareness of the disease grew over the past years. Supply of specialist medical experts has not kept pace with the increasing demand for assessment, both due to financial pressures on health systems and the difficulty to train new experts, resulting in growing waiting lists. Patients are not being treated quickly enough causing problems in other areas of health systems (e.g. increased GP visits, increased risk of self-harm and accidents) and more broadly (e.g. time off work, relationship problems). Advances in AI make it possible to support the clinical diagnosis of ADHD based on the analysis of relevant data. This paper reports on findings related to the mental health services of a specialist Trust within the UK’s National Health Service (NHS). The analysis studied data of adult patients who underwent diagnosis over the past few years, and developed a hybrid approach, consisting of two different models: a machine learning model obtained by training on data of past cases; and a knowledge model capturing the expertise of medical experts through knowledge engineering. The resulting algorithm has an accuracy of 95% on data currently available, and is currently being tested in a clinical environment.
Design, characterization and in vitro evaluation of thin films enriched by tannic acid complexed by Fe(III) ions
Authors: Kaczmarek B. , Mazur O. , Miłek O. , Michalska-Sionkowska M. , Das A. , Jaiswal A. , Vishnu J. , Tiwari K. , Sionkowska A. , Osyczka A. M. , Manivasagam G. 
Published: November 2020

AbstractMaterials based on carbohydrate polymers may be used for biomedical application. However, materials based on natural polymers have weak physicochemical properties. Thereby, there is a challenge to improve their properties without initiation of toxicity. The alternative method compared to toxic chemical agents’ addition is the use of metal complexation method. In this study, chitosan/tannic acid mixtures modified by Fe(III) complexation are proposed and tested for potential applications as wound dressings. Thereby, surface properties, blood compatibility as well as platelet adhesion was tested. In addition, the periodontal ligament stromal cells compatibility studies were carried out. The results showed that the iron(III) addition to chitosan/tannic acid mixture improves properties due to a decrease in the surface free energy and exhibited a reduction in the hemolysis rate (below 5%). Moreover, cells cultured on the surface of films with Fe(III) showed higher metabolic activity. The current findings allow for the medical application of the proposed materials as wound dressings.
Use of petrological and organic geochemical data in determining hydrocarbon generation potential of coals: miocene coals of Malatya Basin (Eastern Anatolia-Turkey)
Authors: Yalcin Erik Nazan , Ay Faruk 
Published: November 2020

AbstractWith this study, the hydrocarbon generation potential of Miocene aged coals around Arguvan-Parçikan in the northern district of Malatya province was evaluated with the aid of petrological and organic geochemical data. According to organic petrography, coal quality data, and low thermal maturity, the Arguvan-Parçikan coals are of high-ash, high-sulfur subbituminous B/C rank. The organic fraction of the coals is mostly comprised of humic group macerals, with small percentages derived from the inertinite and liptinite groups. The mineral matter of the coals is comprised mainly of calcite and clay minerals. The total organic carbon (TOC, wt%) values of the shale and coal samples are between 2.61 wt% and 43.02 wt%, and the hydrogen index values are between 73 and 229 mg HC/g TOC. Pyrolysis (Tmax, PI), huminite/vitrinite reflectance (Ro, %), and biomarker ratios (CPI, Pr/Ph ratio, Ts/(Ts + Tm) ratio, C32 homohopane ratio (22S/22S + 22R) and C29ββ/(ββ + αα sterane ratio) indicate that the organic matter of the studied coals is thermally immature. When all these data are taken together, Miocene aged coals around Arguvan are suitable for hydrocarbon generation, especially gas, in terms of organic matter type (Type III and Type II/III mixed), organic matter amount (> 10 wt% TOC), however, low liptinitic macerals (< 15%–20%), low hydrogen index (< 200 mg HC/g TOC) and low thermal maturity values inhibit the hyrocarbon generation.