bluuebunny/crossref_metadata_2025_split huggingface dataset:
Position-only synthesis of uniformly excited elliptical antenna arrays with minimum element spacing constraint
Authors: Guo Hua , Jing Guangrui , Dong Mian , Zhang Lijian , Zhang Xiaodan 
Published: November 2019

AbstractPattern synthesis of non-uniform elliptical antenna arrays is presented in this paper. Only the element positions of the antenna arrays are optimized by the combination of differential evolution (DE) and invasive weed optimization (IWO) to reduce the peak side lobe level (PSLL) of the radiation pattern. In order to avoid the overlap of the array elements, the minimum spacing of the adjacent elements is constrained. Also, the beam width of the radiation pattern can be constrained effectively. Three elliptical antenna arrays that have 8, 12, and 20 elements are investigated. The synthesis results show that the introduced method can present a good side lobe reduction for the radiation pattern. Compared with other optimization methods, the method proposed in this paper can obtain better performance.
Infinitely many solutions for hemivariational inequalities involving the fractional Laplacian
Authors: Xi Lijing , Zhou Yuying 
Published: November 2019

AbstractIn the paper, we consider the following hemivariational inequality problem involving the fractional Laplacian:
$$ \textstyle\begin{cases} (-\Delta )^{s}u+\lambda u\in \alpha (x) \partial F(x,u) & x \in \varOmega , \\ u=0 & x\in \mathbb{R} ^{N} \backslash \varOmega , \end{cases} $${(−Δ)su+λu∈α(x)∂F(x,u)x∈Ω,u=0x∈RN∖Ω, where Ω is a bounded smooth domain in $\mathbb{R} ^{N}$RN with $N\geq 3$N≥3, $(-\Delta )^{s}$(−Δ)s is the fractional Laplacian with $s\in (0,1)$s∈(0,1), $\lambda >0$λ>0 is a parameter, $\alpha (x): \varOmega \rightarrow \mathbb{R} $α(x):Ω→R is a measurable function, $F(x, u):\varOmega \times \mathbb{R} \rightarrow \mathbb{R} $F(x,u):Ω×R→R is a nonsmooth potential, and $\partial F(x,u)$∂F(x,u) is the generalized gradient of $F(x, \cdot )$F(x,⋅) at $u\in \mathbb{R} $u∈R. Under some appropriate assumptions, we obtain the existence of a nontrivial solution of this hemivariational inequality problem. Moreover, when F is autonomous, we obtain the existence of infinitely many solutions of this problem when the nonsmooth potentials F have suitable oscillating behavior in any neighborhood of the origin (respectively the infinity) and discuss the properties of the solutions.
Neural networks-based adaptive finite-time control of switched nonlinear systems under time-varying actuator failures
Authors: Liu Xikui , Shi Xiurong , Li Yan 
Published: November 2019

AbstractThis paper is dedicated to neural networks-based adaptive finite-time control design of switched nonlinear systems in the time-varying domain. More specifically, by employing the approximation ability of neural networks system, an integrated adaptive controller is constructed. The main aim is to make sure the closed-loop system in arbitrary switching signals is semi-global practical finite-time stable (SGPFS). A backstepping design with a common Lyapunov function is proposed. Unlike some existing control schemes with actuator failures, the key is dealing with the time-varying fault-tolerant job for the switched system. It is also proved that all signals in the system are bounded and the tracking error can converge in a small field of the origin in finite time. A practical example is presented to illustrate the validity of the theory.
New criteria for oscillation of nonlinear neutral differential equations
Authors: Moaaz Osama 
Published: November 2019

AbstractThe aim of this work is to offer sufficient conditions for the oscillation of neutral differential equation second order$$ \bigl( r ( t ) \bigl[ \bigl( y ( t ) +p ( t ) y \bigl( \tau ( t ) \bigr) \bigr) ^{\prime } \bigr] ^{\gamma } \bigr) ^{\prime }+f \bigl( t,y \bigl( \sigma ( t ) \bigr) \bigr) =0, $$(r(t)[(y(t)+p(t)y(τ(t)))′]γ)′+f(t,y(σ(t)))=0,where$\int ^{\infty }r^{-1/\gamma } ( s ) \,\mathrm{d}s= \infty $∫∞r−1/γ(s)ds=∞. Based on the comparison with first order delay equations and by employ the Riccati substitution technique, we improve and complement a number of well-known results. Some examples are provided to show the importance of these results.
Online Feature Selection (OFS) with Accelerated Bat Algorithm (ABA) and Ensemble Incremental Deep Multiple Layer Perceptron (EIDMLP) for big data streams
Authors: Renuka Devi D. , Sasikala S. 
Published: November 2019

AbstractFeature selection is mainly used to lessen the dispensation load of data mining models. To condense the time for processing voluminous data, parallel processing is carried out with MapReduce (MR) technique. However with the existing algorithms, the performance of the classifiers needs substantial improvement. MR method, which is recommended in this research work, will perform feature selection in parallel which progresses the performance. To enhance the efficacy of the classifier, this research work proposes an innovative Online Feature Selection (OFS)–Accelerated Bat Algorithm (ABA) and a framework for applications that streams the features in advance with indefinite knowledge of the feature space. The concrete OFS-ABA method is suggested to select significant and non-superfluous feature with MapReduce (MR) framework. Finally, Ensemble Incremental Deep Multiple Layer Perceptron (EIDMLP) classifier is applied to classify the dataset samples. The outputs of homogeneous IDMLP classifiers were combined using the EIDMPL classifier. The projected feature selection method along with the classifier is evaluated expansively on three datasets of high dimensionality. In this research work, MR-OFS-ABA method has shown enhanced performance than the existing feature selection methods namely PSO, APSO and ASAMO (Accelerated Simulated Annealing and Mutation Operator). The result of the EIDMLP classifier is compared with other existing classifiers such as Naïve Bayes (NB), Hoeffding tree (HT), and Fuzzy Minimal Consistent Class Subset Coverage (FMCCSC)-KNN (K Nearest Neighbour). The methodology is applied to three datasets and results were compared with four classifiers and three state-of-the-art feature selection algorithms. The outcome of this research work has shown enhanced performance in accuracy and less processing time.
Seepage investigations of heterogeneous soils beneath some buildings using geophysical approaches: example from southwestern Nigeria
Authors: Salako Adebayo Olayinka , Osotuyi Abayomi Gaius , Adepelumi Adekunle Abraham 
Published: November 2019

AbstractBuildings along the flood plain of River Osun, southwest Nigeria, are usually thought of as been a safe haven for residence over the years. But in recent times with vast (increasing) population and growing urbanization, some of the buildings currently experience structural damages not related to constructional designs but rather ground conditions around building foundations. The ground conditions (seepages in this case) and how it influences properties of soils (water moisture, permeability etc.) to support the foundation of buildings. This paper attempts to map out seepages in heterogeneous soils around buildings in Erinle, southwest Nigeria where building cracks probably as a result of water seepages from subsurface through fissures and fractures where noticed. These cracks are a probable manifestation of a weakened foundation that could overtime result to a collapse, hence the need to investigate seepage prone zones. To achieve this, electrical resistivity (ER) and Electromagnetic Ground Penetrating Radar (EM-GPR) surveys were made along affected buildings to map out possible causes of deterioration. Geo-sections (analyzed ER data) shows high resistivity layer (topsoil) underlain by low resistivity layer (weathered basement) confirmed by planer reflections (topsoil) and fairly smooth to smooth reflections (weathered basement) in Radargrams (analyzed GPR data). An integration of the geo-section and radargram produced from ER and GPR data shows that buildings along traverses 1, 2, 3 and 5 is most prone to seepages especially as it exhibits very low anomalously resistivity values (< 25 Ωm) but this is not the case for buildings along traverses 4, 6, 7 and 8.
Granisetron plus aprepitant versus granisetron in preventing nausea and vomiting during CHOP or R-CHOP regimen in malignant lymphoma: a retrospective study
Authors: Wakasugi Yoshinori , Noda Satoshi , Ikuno Yoshihiro , Horie Miya , Kito Katsuyuki , Minamiguchi Hitoshi , Terada Tomohiro 
Published: November 2019

Abstract
Background
Cyclophosphamide, doxorubicin, vincristine, and prednisolone (CHOP) regimen includes a high dose of prednisolone (100 mg/body), which exhibits an anticancer and antiemetic effect. However, its optimal use for antiemetic therapy has not been established yet. We assessed the efficacy of granisetron plus aprepitant versus granisetron for CHOP or rituximab-CHOP (R-CHOP) regimen-induced nausea and vomiting in malignant lymphoma.

Methods
This retrospective and observational clinical study included patients who received CHOP or R-CHOP regimen as initiating chemotherapy between July 2010 and March 2016 (N = 39). Patients were assigned to an aprepitant [aprepitant (125 mg on day 1, 80 mg on days 2–3) plus granisetron (3 mg); n = 15] or control regimen group [granisetron (3 mg); n = 24]. Complete response (CR), defined as no vomiting and no use of rescue therapy during overall phase (0–120 h), was the primary endpoint. Secondary endpoints included the time to first vomiting and using rescue medication and complete protection (CP) defined as no vomiting and no retching and/or no nausea and no rescue therapy. The patient records were investigated, and data were retrospectively analyzed.

Results
CR rate CP rates did not significantly differ between the groups during the observation period (80.0% versus 83.3%, p = 1.000; and 80.0% versus 79.2%, p = 1.000, respectively). Additionally, the time to first vomiting and using rescue medication in did not significantly differ between the groups (p = 0.909).

Conclusions
This study suggests that granisetron alone could be one treatment option in the management of CINV in patients with non-Hodgkin lymphoma receiving CHOP or R-CHOP regimen.
Effect of photoinitiator on chain degradation of hyaluronic acid
Authors: Hong Bo Min , Park Su A , Park Won Ho 
Published: November 2019

Abstract

Objectives
Photocrosslinking systems of polymers have been widely studied using UV or visible light irradiation. However, the photodegradation behavior derived from light irradiation was rarely reported, comparing with the photocrosslinking. In this study, the tyramine-modified hyaluronic acid (HA/Tyr) hydrogel was prepared using riboflavin (RF) as a photoinitiator, and the degradation behavior of HA by the reactive oxygen species (ROS) generated in photochemical process was investigated.

Materials and methods

The HA/Tyr conjugate was synthesized by EDC/NHS chemistry to introduce phenol group. Degree of substitution (DS, %) of phenol group to HA molecule was about 25%. The structural change of HA/Tyr was measured by proton nuclear magnetic resonance (
1
H-NMR) and attenuated total reflectance infrared spectroscopy (ATR-FTIR), and the rheological properties of photocrosslinked HA/Tyr hydrogel were investigated by rheometer.

Results
The HA/Tyr solution with 25% substitution formed a stable hydrogel via visible light irradiation in the presence of RF photoinitiator. Rheological data of HA/Tyr solution showed that the storage modulus (G’) was increased with increasing HA concentration. Additionally, it was found that RF initiated by visible light irradiation induced the degradation of HA molecular chain, and consequently reduced the viscosity of HA/Tyr solutions.

Conclusion
The results indicate that RF-based photoinitiator system caused the degradation of HA molecule by ROS generated in photochemical process as well as the crosslinking of HA/Tyr.
China – Pakistan economic corridor: a harbinger of economic prosperity and regional peace
Authors: Khursheed Ambreen , Haider Syed Karrar , Mustafa Faisal , Akhtar Ayesha 
Published: November 2019

AbstractProvincial connectivity and growth are connected to visualization of mutual progress and economic development. This is the viewpoint behind the establishment of China-Pakistan Economic Corridor (CPEC). Developing new transport infrastructure, Gwadar Port Projects and several energy generating projects, are one of the key projects of CPEC, “All Weather Strategic Friendship” is therefore proved for Pakistan and China. China’s pilot project of “Belt and Road Initiative” is the key plan, which led to the development of CPEC. It is expected from CPEC that it will reduce the transportation cost of China by providing a shorter route for China’s trade to Persian Gulf and it will provide a solution to the energy shortfalls in Pakistan. Moreover, CPEC’s projected prospects of economic advancement, there are some economic, security and political threats in Pakistan. This paper proposes to illuminate the significant Geo-strategic importance, opportunities and challenges for China Pakistan Economic Corridor, and it envisages to broaden the base, by including energy rich, Tajikistan economic role model Turkey and strategically located Iran. Hence, this paper provides a holistic view of previous researches on the planned subject and is not involving any data analysis as existing researches had used for analyzing a review of prospects and challenges.
Open software and standards in the realm of laser scanning technology
Authors: Pirotti Francesco 
Published: November 2019

AbstractThis review aims at introducing laser scanning technology and providing an overview of the contribution of open source projects for supporting the utilization and analysis of laser scanning data. Lidar technology is pushing to new frontiers in mapping and surveying topographic data. The open source community has supported this by providing libraries, standards, interfaces, modules all the way to full software. Such open solutions provide scientists and end-users valuable tools to access and work with lidar data, fostering new cutting-edge investigation and improvements of existing methods.The first part of this work provides an introduction on laser scanning principles, with references for further reading. It is followed by sections respectively reporting on open standards and formats for lidar data, tools and finally web-based solutions for accessing lidar data. It is not intended to provide a thorough review of state of the art regarding lidar technology itself, but to provide an overview of the open source toolkits available to the community to access, visualize, edit and process point clouds. A range of open source features for lidar data access and analysis is provided, providing an overview of what can be done with alternatives to commercial end-to-end solutions. Data standards and formats are also discussed, showing what are the challenges for storing and accessing massive point clouds.The desiderata are to provide scientists that have not yet worked with lidar data an overview of how this technology works and what open source tools can be a valid solution for their needs in analysing such data. Researchers that are already involved with lidar data will hopefully get ideas on integrating and improving their workflow through open source solutions.
Shipping digitalization management: conceptualization, typology and antecedents
Authors: Lambrou Maria , Watanabe Daisuke , Iida Junya 
Published: November 2019

AbstractDigital transformation is a topical theme in shipping research and professional practice, today. Our paper aims at developing a comprehensive framework of digitalization technologies and their maritime business implications, grounded on available evidence. In order to understand the full complexity of shipping digitalization activities, we addressed technology and management aspects in a coalesced framework. Our research follows a qualitative, case study approach. Five cases of advanced, shipping incumbents’ digitalization activities were investigated. Our research outcome is an overarching theoretical model, which systematizes the technological components (technology typology), the prevailing management rationales (strategic drivers) and determinant factors (practices) of shipping digitalization.
3D printed PLA Army-Navy retractors when used as linear retractors yield clinically acceptable tolerances
Authors: Chen Joshua V. , Dang Alexis B. C. , Lee Carlin S. , Dang Alan B. C. 
Published: November 2019

Abstract
Background
Modern low-cost 3D printing technologies offer the promise of access to surgical tools in resource scarce areas, however optimal designs for manufacturing have not yet been established. We explore how the optimization of 3D printing parameters when manufacturing polylactic acid filament based Army-Navy retractors vastly increases the strength of retractors, and investigate sources of variability in retractor strength, material cost, printing time, and parameter limitations.

Methods
Standard retractors were printed from various polylactic acid filament spools intra-manufacturer and inter-manufacturer to measure variability in retractor strength. Printing parameters were systematically varied to determine optimum printing parameters. These parameters include retractor width, thickness, infill percentage, infill geometry, perimeter number, and a reinforced joint design. Estimated retractor mass from computer models allows us to estimate material cost.

Results
We found statistically significant differences in retractor strength between spools of the same manufacturer and between manufacturers. We determined the true strength optimized retractor to have 30% infill, 3 perimeters, 0.25 in. thickness, 0.75 in. width, and has “Triangle” infill geometry and reinforced joints, failing at more than 15X the threshold for clinically excessive retraction and costs $1.25 USD.

Conclusions
The optimization of 3D printed Army-Navy retractors greatly improve the efficacy of this instrument and expedite the adoption of 3D printing technology in many diverse fields in medicine not necessarily limited to resource poor settings.
The Brazillian version of the hand mobility in scleroderma (HAMIS) test: translation and validation
Authors: Azevedo Pedro Ming , Sanson Estefânia Sartorato , Skare Thelma Larocca , dos Santos Thiago Alberto Fernandes Gomes , Martin Patricia 
Published: November 2019

Abstract
Background
The Hand Mobility in Scleroderma (HAMIS) test was created to measure the degree of dysfunction of hand movements imposed by systemic sclerosis (SSc). The modified version (mHAMIS), with 4 of the 9 original items, was developed later. The goal of the present study was to translate and validate HAMIS and mHAMIS into Brazilian Portuguese and culture.

Methods
After direct and reverse translation and comprehension test in 10 SSc patients, HAMIS-Br was applied to another 32 patients with SSc. To evaluate internal consistency, intraobserver and interobserver agreement, and intraobserver and interobserver reliability, we used respectively the Cronbach’s α coefficient, kappa concordance and intraclass correlation (ICC). The correlation between HAMIS-Br and mHAMIS-Br was evaluated and a factorial analysis was performed.

Results
HAMIS-Br showed excellent internal consistency (Cronbach’s α = 0.997), good intraobserver agreement (kappa between 0.78 [95%CI =0.57–0.99] and 1) and intraobserver and interobserver reliability (ICC = 0.993, 95% CI = 0.973–0.993 and ICC = 0.994, 95% CI = 0.987–0.997, respectively). The mHAMIS-Br presented similar results and excellent correlation with HAMIS-Br (r = 0.923). The factorial analysis extracted three groups of questions that explain 84.4% of the total variance, and that can be understood through the influence of certain movements in the interpretation of others: [1] questions whose interpretation is influenced by the extension of the fingers, [2] questions whose interpretation is influenced by flexion of the fingers, [3] volar flexion of the fingers, with similar correlation with both other factors.

Conclusions
HAMIS-Br and mHAMIS-Br showed good agreement, intraobserver and interobserver reliability, and internal validity. It is necessary to be attentive to the influence of certain limitations of movements in the interpretation of others.
Neuro-Sweet syndrome - a rare differential diagnosis in aseptic meningoencephalitis
Authors: Hoffmann Elgin , Boßelmann Christian , Forchhammer Stephan , Lerche Holger , Freilinger Tobias 
Published: November 2019

AbstractAcute febrile neutrophilic dermatosis (Sweet‘s syndrome) is a dermatological entity, which may be associated with malignancies, drugs, and infections and which is characterized by high fever, elevated neutrophils, and tender erythematous skin lesions. Involvement of the nervous system – Neuro-Sweet syndrome (NSS) - is rare, manifesting most commonly with an encephalitic syndrome in addition to fever and dermal lesions. Here, we report an unusual case of NSS in a Caucasian male patient in the setting of B-cell-lymphocytosis, with encephalitis preceding dermal lesions. Symptoms resolved completely in response to corticoids.NSS is a rare, but important differential diagnosis in the work-up of febrile aseptic meningoencephalitis unresponsive to anti-infectious treatment. Due to its rarity and clinical variability, diagnosis of NSS might be challenging. Knowledge of this entity may facilitate proper diagnosis and differentiation from conditions with similar clinical presentation, especially Neuro-Behçet‘s disease. It may further lead to early detection of a potentially underlying malignancy and help in initiating adequate therapy.
Adaptive deep learning for head and neck cancer detection using hyperspectral imaging
Authors: Ma Ling , Lu Guolan , Wang Dongsheng , Qin Xulei , Chen Zhuo Georgia , Fei Baowei 
Published: November 2019

AbstractIt can be challenging to detect tumor margins during surgery for complete resection. The purpose of this work is to develop a novel learning method that learns the difference between the tumor and benign tissue adaptively for cancer detection on hyperspectral images in an animal model. Specifically, an auto-encoder network is trained based on the wavelength bands on hyperspectral images to extract the deep information to create a pixel-wise prediction of cancerous and benign pixel. According to the output hypothesis of each pixel, the misclassified pixels would be reclassified in the right prediction direction based on their adaptive weights. The auto-encoder network is again trained based on these updated pixels. The learner can adaptively improve the ability to identify the cancer and benign tissue by focusing on the misclassified pixels, and thus can improve the detection performance. The adaptive deep learning method highlighting the tumor region proved to be accurate in detecting the tumor boundary on hyperspectral images and achieved a sensitivity of 92.32% and a specificity of 91.31% in our animal experiments. This adaptive learning method on hyperspectral imaging has the potential to provide a noninvasive tool for tumor detection, especially, for the tumor whose margin is indistinct and irregular.