bluuebunny/crossref_metadata_2025_split huggingface dataset:
The modulation of neural insular activity by a brain computer interface differentially affects pain discrimination
Authors: Taesler Philipp , Rose Michael 
Published: May 2021

AbstractThe experience of pain is generated by activations throughout a complex pain network with the insular cortex as a central processing area. The state of ongoing oscillatory activity can influence subsequent processing throughout this network. In particular the ongoing theta-band power can be relevant for later pain processing, however a direct functional relation to post-stimulus processing or behaviour is missing. Here, we used a non-invasive brain–computer interface to either increase or decrease ongoing theta-band power originating in the insular cortex. Our results show a differential modulation of oscillatory power and even more important a transfer to independently measured pain processing and sensation. Pain evoked neural power and subjective pain discrimination were differentially affected by the induced modulations of the oscillatory state. The results demonstrate a functional relevance of insular based theta-band oscillatory states for the processing and subjective discrimination of nociceptive stimuli and offer the perspective for clinical applications.
Effect of prenatal ambient temperature on the performance physiological parameters, and oxidative metabolism of Japanese quail (Coturnix coturnix japonica) layers exposed to heat stress during growth
Authors: Santana Thaís Pacheco , Gasparino Eliane , de Souza Khatlab Angélica , Brito Claudson Oliveira , Barbosa Leandro Teixeira , Lamont Susan J. , Del Vesco Ana Paula 
Published: May 2021

AbstractA strategy to mitigate the negative effects of stress on animals is to enhance their ability to beneficially respond to stressful conditions. This study aimed to assess whether prenatal ambient temperature influences the response of Japanese quail (Coturnix coturnix japonica) chicks to environmental challenges during growth. The experiment was conducted in a 2 × 2 factorial arrangement: two temperature conditions for the mothers (thermoneutral and heat stress by continuous exposure to 32 °C) and two offspring ambient temperature conditions (thermoneutral and heat stress by intermittent exposure to 34 °C for 6 h/day from 15 to 35 days of age). Heat stress in mothers led to lower laying rate, egg mass, expression of methionine sulfoxide reductase A (MSRA) gene, and antioxidant capacity as well as higher chick mortality rate (1–15 days of age). Maternal heat stress led to lower weight gain and total antioxidant capacity and higher feed conversion ratio. Maternal temperature × Offspring temperature interaction effects were observed on carbonylated protein content and HSP70, GSS, and MSRA gene expression. It was observed that, for chicks hatched from heat-stressed mothers, exposure to heat stress led to higher carbonylated protein content and HSP70 expression than exposure to thermoneutral conditions. Maternal heat stress was also responsible for increasing GSS expression in chicks grown under thermoneutral conditions. Chicks hatched from non-stressed mothers and subjected to heat stress had higher MSRA expression compared to chicks maintained in a thermoneutral environment. Our results show that, although maternal heat stress had no negative effects on performance or oxidative metabolism of offspring grown under thermoneutral conditions, it was associated with lower performance and higher protein oxidation in offspring exposed to heat stress during growth. These results could be due in part to alterations in the expression of genes related to antioxidant capacity.
A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications
Authors: Hashemzadeh Hadi , Shojaeilangari Seyedehsamaneh , Allahverdi Abdollah , Rothbauer Mario , Ertl Peter , Naderi-Manesh Hossein 
Published: May 2021

AbstractLung cancer is a leading cause of cancer death in both men and women worldwide. The high mortality rate in lung cancer is in part due to late-stage diagnostics as well as spread of cancer-cells to organs and tissues by metastasis. Automated lung cancer detection and its sub-types classification from cell’s images play a crucial role toward an early-stage cancer prognosis and more individualized therapy. The rapid development of machine learning techniques, especially deep learning algorithms, has attracted much interest in its application to medical image problems. In this study, to develop a reliable Computer-Aided Diagnosis (CAD) system for accurately distinguishing between cancer and healthy cells, we grew popular Non-Small Lung Cancer lines in a microfluidic chip followed by staining with Phalloidin and images were obtained by using an IX-81 inverted Olympus fluorescence microscope. We designed and tested a deep learning image analysis workflow for classification of lung cancer cell-line images into six classes, including five different cancer cell-lines (P-C9, SK-LU-1, H-1975, A-427, and A-549) and normal cell-line (16-HBE). Our results demonstrate that ResNet18, a residual learning convolutional neural network, is an efficient and promising method for lung cancer cell-lines categorization with a classification accuracy of 98.37% and F1-score of 97.29%. Our proposed workflow is also able to successfully distinguish normal versus cancerous cell-lines with a remarkable average accuracy of 99.77% and F1-score of 99.87%. The proposed CAD system completely eliminates the need for extensive user intervention, enabling the processing of large amounts of image data with robust and highly accurate results.
Applicability of pan-TRK immunohistochemistry for identification of NTRK fusions in lung carcinoma
Authors: Strohmeier Simon , Brcic Iva , Popper Helmut , Liegl-Atzwanger Bernadette , Lindenmann Jörg , Brcic Luka 
Published: May 2021

AbstractIn the last two decades, various therapies have been introduced for lung carcinoma patients, including tyrosine-kinase inhibitors for different mutations. While some of them are specific to specific tumor types, others, like NTRK1–3 fusions, are found in various solid tumors. The occurrence of an NTRK1,2 or 3 fusion acts as a biomarker for efficient treatment with NTRK inhibitors, irrespectively of the tumor type. However, the occurrence of the NTRK1–3 fusions in lung carcinomas is extremely rare. We performed a retrospective analysis to evaluate the applicability of immunohistochemistry with the pan-TRK antibody in the detection of NTRK fusions in lung carcinomas. The study cohort included 176 adenocarcinomas (AC), 161 squamous cell carcinomas (SCC), 31 large-cell neuroendocrine carcinomas (LCNEC), and 19 small cell lung carcinomas (SCLC). Immunohistochemistry (IHC) was performed using the pan-TRK antibody (clone EPR17341, Ventana) on tissue microarrays, while confirmation for all positive cases was done using RNA-based Archer FusionPlex MUG Lung Panel. On IHC staining, 12/387 samples (3.1%) demonstrated a positive reaction. Ten SCC cases (10/161, 6.2%), and two LCNEC cases (2/31, 6.5%) were positive. Positive cases demonstrated heterogeneous staining of tumor cells, mostly membranous with some cytoplasmic and in one case nuclear pattern. RNA-based sequencing did not demonstrate any NTRK1–3 fusion in our patients’ collective. Our study demonstrates that pan-TRK expression in lung carcinoma is very low across different histologic types. NTRK1–3 fusions using an RNA-based sequencing approached could not be detected. This stresses the importance of confirmation of immunohistochemistry results by molecular methods.
A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication
Authors: Farzaneh Negar , Williamson Craig A. , Gryak Jonathan , Najarian Kayvan 
Published: May 2021

AbstractPrognosis of the long-term functional outcome of traumatic brain injury is essential for personalized management of that injury. Nonetheless, accurate prediction remains unavailable. Although machine learning has shown promise in many fields, including medical diagnosis and prognosis, such models are rarely deployed in real-world settings due to a lack of transparency and trustworthiness. To address these drawbacks, we propose a machine learning-based framework that is explainable and aligns with clinical domain knowledge. To build such a framework, additional layers of statistical inference and human expert validation are added to the model, which ensures the predicted risk score’s trustworthiness. Using 831 patients with moderate or severe traumatic brain injury to build a model using the proposed framework, an area under the receiver operating characteristic curve (AUC) and accuracy of 0.8085 and 0.7488 were achieved, respectively, in determining which patients will experience poor functional outcomes. The performance of the machine learning classifier is not adversely affected by the imposition of statistical and domain knowledge “checks and balances”. Finally, through a case study, we demonstrate how the decision made by a model might be biased if it is not audited carefully.
Water-mediated reduction of [Cu(dmp)2(CH3CN)]2+: implications of the structure of a classical complex on its activity as an anticancer drug
Authors: Levín Pedro , Ruiz María C. , Romo Adolfo I. B. , Nascimento Otaciro R. , Di Virgilio Ana L. , Oliver Allen G. , Ayala Alejandro P. , Diógenes Izaura C. N. , León Ignacio E. , Lemus Luis 
Published: May 2021

[Cu(dmp)2(CH3CN)]2+ can be reduced in acetonitrile containing water due to steric constraints of the ligands. Hydroxyl radicals are produced from water oxidation. We take advantage of this reaction to evaluate the anticancer activity of the complex.
Energy efficiency, latency and reliability trade‐offs in M2M uplink scheduling
Authors: Torkudzor Moses K , Schwarz Stefan , Abdulai Jamal‐Deen , Rupp Markus 
Published: May 2021

AbstractIssues of energy efficiency, latency and reliability have engaged researchers' attention in wireless communications for a long time due to their importance in the dependable delivery of data over wireless networks. The emergence of M2M communication and IoT has intensified this attention because energy efficiency and latency are critical factors affecting their performance. In this paper, a scheduler is designed by utilising the probability density function of the signal‐to‐noise ratio of Rayleigh fading channels to define a threshold used for resource allocation. This threshold, combined with the mean SNR of an M2M device, determines whether or not an M2M device is eligible for scheduling, given its instantaneous channel conditions. The trade‐off between energy efficiency, latency and packet drop of this proposed scheduling strategy is investigated. The performance of the proposed scheduler is compared to round robin, maximum throughput, and proportional fair schedulers. Compared to these standard scheduling strategies, the scheduler provides the advantage of trading off latency for energy efficiency by tuning the threshold parameter.
Exploring the pulsational properties of two ZZ Ceti stars
Authors: Bognár Zs. , Kalup Cs. , Sódor Á. 
Published: May 2021

Context. We continued our ground-based observing project with the season-long observations of ZZ Ceti stars at the Konkoly Observatory. Our present targets are the newly discovered PM J22299+3024 and the already known LP 119–10 variables. LP 119–10 was also observed by the TESS space telescope in 120-second cadence mode.
Aims. Our main aims are to characterise the pulsation properties of the targets and extract pulsation modes from the data for asteroseismic investigations.
Methods. We performed a standard Fourier analysis of the daily, weekly, and entire data sets, together with test data of different combinations of weekly observations. We then performed asteroseismic fits utilising the observed and the calculated pulsation periods. For the calculations of model grids necessary for the fits, we applied the 2018 version of the White Dwarf Evolution Code.
Results. We derived six possible pulsation modes for PM J22299+3024 and five plus two TESS pulsation frequencies for LP 119–10. We note that further pulsation frequencies may be present in the data sets, but we found their detection ambiguous, so we omitted them from the final frequency list. Our asteroseismic fits of PM J22299+3024 give 11 400 K and 0.46 M⊙ for the effective temperature and the stellar mass, respectively. The temperature is ≈800 K higher, while the mass of the model star is exactly the same as was earlier derived by spectroscopy. Our model fits of LP 119–10 put the effective temperature in the range of 11 800−11 900 K, which is again higher than the spectroscopic 11 290 K value. Moreover, our best model solutions give M* = 0.70 M⊙ mass for this target, which is near to the spectroscopic value of 0.65 M⊙ and likewise in the case of PM J22299+3024. The seismic distances of our best-fit model stars agree with the Gaia astrometric distances of PM J22299+3024 and LP 119–10 within the errors, validating our model results.
Atlantoaxial Dislocation: Surgical Outcome following Anterior Retropharyngeal Approach to Odontoid with or without Fixation
Authors: Banga Manpreet Singh , Sandeep B.V. , Saha Suniti Kumar , Roy Kaushik , Dixit Sourabh , Ghosh Partha 
Published: May 2021

Abstract
Introduction Atlantoaxial dislocation (AAD) refers to a loss of stability between the atlas and axis vertebra. The conventional transoral approach and the anterior retropharyngeal approach (ARPA) are adequate for the upper cervical vertebral segments. This study was undertaken to evaluate the usefulness of the ARPA to the odontoid in patients of AAD.
Materials and Methods The study was undertaken on 20 patients admitted in Nil Ratan Sircar Medical College and Hospital, Kolkata, India, with functional disability secondary to AAD. These patients underwent surgery through ARPA to odontoid with or without fixation. Patients were analyzed between October 2014 and September 2016.
Results Maximum number of patients belonged to third decade of life. The male to female ratio was 1.5. The mean duration of symptoms was 10.86 months. Weakness of the upper and lower limbs predominated. About 65% patients had axial neck pain. Nine patients (45%) in total had difficulty in either bowel or bladder. Five patients presented with fracture odontoid and pannus formation of the odontoid process, while six had basilar invagination. One patient underwent anterior odontoid screw fixation and the other 19 patients underwent anterior retropharyngeal odontoidectomy with posterior fixation. Two patients expired in the present study. Most of the patients had improvement in Nurick grade during follow-up. Five patients had transient throat pain and dysphagia. Three patients had superficial surgical site infection. One patient had postoperative cerebrospinal fluid leak.
Conclusion The ARPA to odontoid is a feasible approach for decompression and fixation of the odontoid in AAD cases.
Venous Thromboembolism among Noncritically Ill Hospitalized Children: Key Considerations for the Pediatric Hospital Medicine Specialist
Authors: Morrison John M. , Betensky Marisol , Kiskaddon Amy L. , Goldenberg Neil A. 
Published: May 2021

AbstractVenous thromboembolism (VTE) is a leading cause of morbidity and preventable harm among noncritically ill hospitalized children. Several clinical factors relevant to the noncritically ill hospitalized child significantly increase the risk of VTE including the presence of central venous catheters, systemic inflammation, and prolonged immobilization. Although risk mitigation strategies have been described, the diagnosis, treatment, and prevention of VTE require standardization of institutional practices combined with multidisciplinary collaboration among pediatric hospitalists, hematologists, and other care providers. In this narrative review, we summarize the epidemiology of VTE, risk models identifying high-risk conditions associated with VTE, and prevention and treatment strategies. We further describe successful quality improvement efforts implementing institutional VTE risk stratification and thromboprophylaxis procedures. Finally, we highlight unique challenges facing pediatric hospital medicine specialists in the era of the COVID-19 pandemic, including caring for adults admitted to pediatric hospital units, and describe future research opportunities for VTE in the noncritically ill hospitalized child.
Intraoperative Computed Tomography Scanner-Guided Craniovertebral Junction Surgery in a Patient with an Occipitalized C1
Authors: Ashraf Mohammad , Kamboh Usman Ahmad , Ashraf Naveed 
Published: May 2021

Abstract
Craniovertebral junction surgery is associated with unique difficulties. Type 2 odontoid fractures (Anderson and D Alonzo) have a great potential for nonunion and malunion. These fracture patients may require a circumferential decompression and fixation. The addition of intraoperative CT with neuronavigation greatly aids in craniovertebral junction surgery. We operated on a 59-year-old-male with a type 2 fracture with posterior subluxation of C1 anterior arch and a cranially displaced odontoid peg. First, a transoral odontoidectomy was performed followed by a craniocervical fixation. Occipital plates and C3–C4 lateral mass screws were used as C1 was discovered to be occipitalized intraoperatively and atlantoaxial facet joints could not be reduced as discovered by intraoperative CT resconstruction. Intraoperative CT scan was crucial to this circumferential decompression and fixation, allowed us to resect the odontoid peg safely and completely and to confirm adequate screw trajectory making this complex surgery easier for us and safer for the patient. The patient was discharged 4 months after admission with stable neurology. Intraoperative CT was fundamental to correct decision making.
Balancing power in co-production: introducing a reflection model
Authors: Ärleskog Caroline , Vackerberg Nicoline , Andersson Ann-Christine 
Published: May 2021

AbstractThe role and position of users in health and welfare has recently changed to become more active in co-production of care. When more co-production is preferred, challenges related to power need to be considered. In this paper, power is seen as the possibility to influence. The paper focuses on power in co-produced improvement work by introducing a reflection model based on Franzén’s power triangle, further developed from improvement coaches’ perceptions. First, empirical data from interviews with improvement coaches were analyzed and then the theoretical model was created. Twelve coaches were included in the interviews, all of them with experience of co-production and improvement work within a region in southeast Sweden. By combining the empirical results with the power triangle, a reflection model concerning power dimensions was developed. The results showed the necessity of reflection regarding several power-related factors. Resources were found to be important and depending on contextual settings. Attitudes and perceptions among personnel and users were also vital. To accomplish co-production, the power dimension must be considered, and the power triangle acknowledges different power dimensions and how they affect each other. The model has a systematic character and allows adjustments to the power dimensions within any other context. It can inspire and be used by improvers working with co-production to promote deeper professional and organizational reflection and thereby contribute to new insights on how to balance power in co-producing health and welfare services.
The common-is-moral association is stronger among less religious people
Authors: Eriksson Kimmo , Vartanova Irina , Ornstein Petra , Strimling Pontus 
Published: May 2021

AbstractQuestionable behaviours that are perceived as more common also tend to be judged as more morally justified. Here we explore this phenomenon in survey data from 31 countries in the European Values Study, allowing us to examine the universality of the common-is-moral association. More than 35,000 participants rated eight questionable behaviours (e.g., cheating on taxes, having casual sex) on how frequent they are and how justified they are. We estimated common-is-moral associations both across individuals for each behaviour and across behaviours within each individual; in both cases, the association tended to be positive. We further examined the hypothesis that the common-is-moral association would be stronger among less religious people, who are less likely to adopt their moral judgements from religious authorities and therefore should be more susceptible to the heuristic of using the perceived commonness of a behaviour as a guide to how it should be morally judged. Indeed, we found the common-is-moral association to be somewhat stronger among less religious people, whether the association was estimated across individuals or within individuals. We discuss alternative explanations, implications and directions for future research.
Two-dimensional simulation of an Ar/H2 direct-current discharge plasma
Authors: Che Yong , Zang Qing , Han Xiaofeng , Xiao Shumei , Huang Kai , Hu Jiahui , Ren Mengfang , Liu Jianwen , Zhou Jian 
Published: May 2021

We created a two-dimensional, mathematical fluid model of a plasma in a spherical direct-current (DC) glow-discharge chamber based on the finite-element method (FEM) using the commercial FEM solver COMSOL Multiphysics. The model is based on the Boltzmann transport equation, and we solved it to simulate the transient physical characteristics of an Ar/H2 glow-discharge plasma, including the distributions of electron density, electrical potential, electron temperature, and other physical characteristics in the reaction chamber. We simulated a 5%H2/95%Ar DC glow discharge at 500 V and 2 Torr, and the results show that the electron density is distributed between the anode and the cathode, with a maximum electron density of 2.76 × 1015 m−3 and a maximum electron temperature of 5.37 eV. We also studied the effects of the discharge voltage and pressure on the electron density. The mathematical model simulates well the variation of the electron density in the chamber, and it shows that the electron density increases with increasing pressure or driving voltage.
Onshore Wind Farms
Authors: Okedu Kenneth 
Published: May 2021

Onshore Wind Farms: Dynamic Stability and Applications in Hydrogen Production offers an up-to-date discussion of new technologies and methods for building wind farms and upgrading existing wind turbines. The effective operation of grid-connected wind farms is quite a challenge for grid operators, largely due to the transient nature of wind energy. This book covers improvements in dynamic performance of a grid in combination with other sources including nuclear power, hydropower, and thermal turbines. It investigates the effects of devices and control strategies that potentially improve wind energy capture and stabilize existing fixed-speed wind turbines in grid-connected wind farms.
This timely book:Includes new technology for improved wind turbinesFeatures developments for improving the stability of grids that rely on wind powerCovers applications such as hydrogen fuel production and DC fuel cells
Relevant for researchers and engineers working in wind energy, this book is also suitable for students interested in grid development or other forms of renewable energy. It is also of interest to wind energy policy planners and analysts.