bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prognostic markers and assessment of a previously published clinical severity index in 109 hospitalised dogs with acute presentation of pancreatitis
Authors: Kuzi Sharon , Mazor Reut , Segev Gilad , Nivy Ran , Mazaki‐Tovi Michal , Chen Hilla , Rimer Dar , Duneyevitz Asia , Yas Einat , Lavy Eran , Aroch Itamar 
Published: October 2019

BackgroundAcute pancreatitis (AP) is common in dogs. Nevertheless, validated clinical severity index (CSI) scoring systems to assess severity and guide treatment in current, large‐scale studies are unavailable.MethodsThis is a retrospective study including 109 dogs. Pancreatitis was diagnosed based on clinical signs, abdominal sonographic evidence, positive pancreatic lipase assays and experts’ assessment consensus.ResultsThe survival rate was 75 per cent (82 dogs). Azotaemia and presence of local complications (ie, ascites) and secondary complications (ie, acute kidney injury and acute respiratory distress syndrome) were significantly associated with death. In agreement with the previously published CSI, respiratory anomalies were significantly associated with death. However, in disagreement with that study, high scores in the kidney and local abdominal complication categories and the sum of scores of all nine categories, but not high gastrointestinal category score, were also significantly associated with death. A final CSI score of at least 4 was associated with death.ConclusionsThis study has validated a nine‐category CSI, proven a useful assessment tool in dogs with AP. Several previously reported and novel prognostic markers were assessed.
Congenital sensorineural deafness in English setters in the United Kingdom: prevalence and association with phenotype and sex
Authors: Marsh Oliver James Richard , Freeman Julia , Van Dijk Jan , De Risio Luisa 
Published: October 2019

BackgroundThe English setter (ES) is predisposed to congenital sensorineural deafness (CSD). CSD prevalence and association with phenotype in the UK ES population are previously unreported.MethodsThe database of the authors’ institution was searched for ES puppies undergoing brainstem auditory evoked response (BAER) testing for CSD screening (2000–2018). Inclusion criteria were BAER performed at 5–10 weeks of age, testing of complete litters and available phenotypic data. The age, sex, presence of patches at birth, coat colour, iris colour, hearing status and BAER‐determined parental hearing status of each puppy were recorded. Multivariable binary logistic regression was performed to determine the significance of these variables as predictors for the likelihood of puppies being unilaterally or bilaterally deaf.ResultsInclusion criteria were met for 447 puppies. Hearing was bilaterally normal in 427 (95.5 per cent) puppies. The prevalence of unilateral and bilateral CSD was 3.6 per cent and 0.9 per cent, respectively. Females were 3.3 times more likely to be deaf than males, and puppies with both parents of unknown hearing status were 4.6 times more likely to be deaf than those with at least one normal parent.ConclusionThe prevalence of CSD was 4.5 per cent, with female puppies and those with two parents of unknown hearing status at greatest risk.
Posttranslational Modifications of PD-L1 and Their Applications in Cancer Therapy
Authors: Hsu Jung-Mao , Li Chia-Wei , Lai Yun-Ju , Hung Mien-Chie 
Published: October 2019

Abstract
Posttranslational modifications (PTM) of PD-L1 have emerged as important regulatory mechanisms that modulate immunosuppression in patients with cancer. In exposure to inflammatory cytokines, cancer cells and antigen-presenting cells, such as macrophages and dendritic cells, express PD-L1 to inhibit the activity of effector T cells through PD-1 engagement. Recent studies suggested that glycosylation, phosphorylation, ubiquitination, sumoylation, and acetylation play important roles in the regulation of PD-L1 protein stability and translocation and protein–protein interactions. Aberrant alterations of PTMs directly influence PD-L1–mediated immune resistance. On the basis of the newly identified regulatory signaling pathways of PD-L1 PTMs, researchers have investigated the cancer therapeutic potential of natural food compounds, small-molecule inhibitors, and mAbs by targeting PD-L1 PTMs. Results of these preclinical studies demonstrated that targeting PTMs of PD-L1 yields promising antitumor effects and that clinical translation of these therapeutic strategies is warranted. Cancer Res; 78(22); 6349–53. ©2018 AACR.
TBCRC023: A Randomized Phase II Neoadjuvant Trial of Lapatinib Plus Trastuzumab Without Chemotherapy for 12 versus 24 Weeks in Patients with HER2-Positive Breast Cancer
Authors: Rimawi Mothaffar F. , Niravath Polly , Wang Tao , Rexer Brent N. , Forero Andres , Wolff Antonio C. , Nanda Rita , Storniolo Anna M. , Krop Ian , Goetz Matthew P. , Nangia Julie R. , Jiralerspong Sao , Pavlick Anne , Veeraraghavan Jamunarani , De Angelis Carmine , Gutierrez Carolina , Schiff Rachel , Hilsenbeck Susan G. , Osborne C. Kent 
Published: October 2019

Abstract

Purpose:
Prior neoadjuvant trials with 12 weeks of dual anti-HER2 therapy without chemotherapy demonstrated a meaningful pathologic complete response (pCR) in patients with HER2-positive breast cancer. In this trial, we sought to determine whether longer treatment would increase the rate of pCR.

Patients and Methods:
TBCRC023 (NCT00999804) is a randomized phase II trial combining a Simon phase II design in the experimental arm with a pick-the-winner design, not powered for direct comparison. Women with HER2-positive breast tumors measuring ≥2 cm (median = 5 cm) were randomized in a 1:2 ratio to 12 versus 24 weeks of lapatinib and trastuzumab. Letrozole (along with ovarian suppression if premenopausal) was administered in patients whose tumors were also estrogen receptor (ER) positive. All evaluable patients were assessed for in-breast pCR.

Results:
Ninety-seven patients were enrolled (33 in 12-week arm and 64 in 24-week arm), of whom 94 were evaluable. Median age was 51 years, and 55% were postmenopausal. Median tumor size was 5 cm, and 65% were ER-positive. The rate of pCR in the 24-week arm was 28% and numerically superior to the 12-week arm (12%). This was driven by increased pCR in the ER-positive subgroup (33% vs. 9%). Study treatment was well tolerated, with grade 1–2 diarrhea and acneiform rash being the most common toxicities.

Conclusions:
Treatment with dual anti-HER2 therapy for 24 weeks led to a numeric increase in pCR rate in women with HER2-positive breast cancer, without using chemotherapy. If validated, this approach may help identify patients who may benefit from deescalation of therapy.
The KRASG12C Inhibitor MRTX849 Provides Insight toward Therapeutic Susceptibility of KRAS-Mutant Cancers in Mouse Models and Patients
Authors: Hallin Jill , Engstrom Lars D. , Hargis Lauren , Calinisan Andrew , Aranda Ruth , Briere David M. , Sudhakar Niranjan , Bowcut Vickie , Baer Brian R. , Ballard Joshua A. , Burkard Michael R. , Fell Jay B. , Fischer John P. , Vigers Guy P. , Xue Yaohua , Gatto Sole , Fernandez-Banet Julio , Pavlicek Adam , Velastagui Karen , Chao Richard C. , Barton Jeremy , Pierobon Mariaelena , Baldelli Elisa , Patricoin Emanuel F. , Cassidy Douglas P. , Marx Matthew A. , Rybkin Igor I. , Johnson Melissa L. , Ou Sai-Hong Ignatius , Lito Piro , Papadopoulos Kyriakos P. , Jänne Pasi A. , Olson Peter , Christensen James G. 
Published: October 2019

Abstract

Despite decades of research, efforts to directly target KRAS have been challenging. MRTX849 was identified as a potent, selective, and covalent KRASG12C inhibitor that exhibits favorable drug-like properties, selectively modifies mutant cysteine 12 in GDP-bound KRASG12C, and inhibits KRAS-dependent signaling. MRTX849 demonstrated pronounced tumor regression in 17 of 26 (65%) KRASG12C-positive cell line– and patient-derived xenograft models from multiple tumor types, and objective responses have been observed in patients with KRASG12C-positive lung and colon adenocarcinomas. Comprehensive pharmacodynamic and pharmacogenomic profiling in sensitive and partially resistant nonclinical models identified mechanisms implicated in limiting antitumor activity including KRAS nucleotide cycling and pathways that induce feedback reactivation and/or bypass KRAS dependence. These factors included activation of receptor tyrosine kinases (RTK), bypass of KRAS dependence, and genetic dysregulation of cell cycle. Combinations of MRTX849 with agents that target RTKs, mTOR, or cell cycle demonstrated enhanced response and marked tumor regression in several tumor models, including MRTX849-refractory models.

Significance:
The discovery of MRTX849 provides a long-awaited opportunity to selectively target KRASG12C in patients. The in-depth characterization of MRTX849 activity, elucidation of response and resistance mechanisms, and identification of effective combinations provide new insight toward KRAS dependence and the rational development of this class of agents.
See related commentary by Klempner and Hata, p. 20.
This article is highlighted in the In This Issue feature, p. 1
Robust Synchronization of the Unified Chaotic System
Authors: Trabelsi Hatem , Benrejeb Mohamed 
Published: October 2019

<p>The paper investigates the synchronization problem of the unified chaotic system. The case of identical, but unknown master and slave unified chaotic systems is considered. Based on compound matrices formalism, a unified synchronization control scheme is proposed independently of the unknown system parameter. Simulation results are provided to show the effectiveness of the presented scheme.</p>
A Path-Compression Approach for Improving Shortest-Path Algorithms
Authors: Arman Nabil , Khamayseh Faisal 
Published: October 2019

Given a weighted directed graph G=(V;E;w), where w is non-negative weight function, G’ is a graph obtained from G by an application of path compression. Path compression reduces the graph G to a critical set of vertices and edges that affect the generation of shortest trees. The main contribution of this paper is finding shortest path between two selected vertices by applying a new algorithm that reduces number of nodes that needs to be traversed in the graph while preserving all graph properties. The main method of the algorithm is restructuring the graph in a way that only critical/relevant nodes are considered while all other neutral vertices and weights are preserved as sub paths' properties. Our algorithm can compress the graph paths into considerable improved percentage especially when the graph is sparse and hence improves performance significantly.
Remote Control of Mobile Robot using the Virtual Reality
Authors: Benaoumeur Ibari , Zoubir Ahmed-Foitih , Amar Reda Haniﬁ Elhachimi 
Published: October 2019

In this paper we present the simulation and manipulation of teleoperation system for remote control of mobile robot using the Virtual Reality (VR). The objective of this work is to allow the operator to control and supervise a unicycle type mobile robot. In this research we followed three ways: The use of articulated robotic mobile on the Web, the design of remote environment for the experimentation using the network for the mobile robot and the architecture of control is proposed to facilitate the piloting of the robot. This work proposes a hardware and software architecture based on communication and information technologies to control the virtual robot to improve the control towards the remote robot. A path planning method is integrated to the remote control system. Results show the real possibilities offered by this manipulation, in order to follow a trajectory of the robot and to create applications with a distance access to facilities through networks like the Internet and wireless.
Segmentation of Fingerprint Image Based on Gradient Magnitude and Coherence
Authors: Saparudin Saparudin , Sulong Ghazali 
Published: October 2019

Fingerprint image segmentation is an important pre-processing step in automatic fingerprint recognition system. A well-designed fingerprint segmentation technique can improve the accuracy in collecting clear fingerprint area and mark noise areas. The traditional grey variance segmentation method is widely and easily used, but it can hardly segment fingerprints with low contrast of high noise. To overcome the low image contrast, combining two-block feature; mean of gradient magnitude and coherence, where the fingerprint image is segmented into background, foreground or noisy regions, has been done. Except for the noisy regions in the foreground, there are still such noises existed in the background whose coherences are low, and are mistakenly assigned as foreground. A novel segmentation method based on combination local mean of grey-scale and local variance of gradient magnitude is presented in this paper. The proposed extraction begins with normalization of the fingerprint. Then, it is<span style="text-decoration: line-through;"> </span>followed by foreground region separation from the background. Finally, the gradient coherence approach is used to detect the noise regions existed in the foreground. Experimental results on NIST-Database14 fingerprint images indicate that the proposed method gives the impressive results.
A New Approach for SAR Image Denoising
Authors: Mohan Babu. Y Murali , M. V. Subramanyam , Prasad. M. N Giri 
Published: October 2019

<p>In synthetic aperture radar (SAR) imaging, the transmitted pulses from space born antenna interacts with ground objects and returned energy or back scattered energy will be collected to get backscattered image. In this process, a speckle noise will be added because of the coherent imaging system and makes the study of SAR images very difficult. For better SAR image processing, the speckle has to be removed in the initial stages of processing and maintain all texture features efficiently. The BM3D method is generally considered as state of art method in denoising of SAR images. In this paper, it is proposed a technique to despeckle the speckle noise to the maximum extent while maintaining the edge characteristics.</p>
Design of Quadcopter Robot as a Disaster Environment Remote Monitor
Authors: Sudarma Made , Swamardika I.B. Alit , Mas Pratama Adinata 
Published: October 2019

As technology development increase, human more use robot technology to help in many fields. One of robot technology advances is the flying robot Quadcopter. The quadcopter robot is an Unmanned Aerial Vehicle or UAV that consists of four propellers and four brushless motors that function as actuator. Quadcopter was designed by using KK Board V 2.0 Flight Controller which is a series of motor rotation controller and all at once has Accelerometer censor as acceleration censor and Gyroscop censor as a balance or stability censor. The robot controlling is by using remote control (RC), and GoPro HD Hero2 camera was installed to monitor the condition of the environment. Result of testing is that the quadcopter has maximum load for 4.4 kg and maximum range distance of RC is 100 meters without any barrier and 50 meters with barrier. In the testing, robot can fly with maximum height for 30 meters from land surface. The robot is equipped with camera, so the quadcopter flying robot can be used to monitor any places that are hard to reach.
Frequency and Time Response of Power Plant Grounding System Exposed to Lightning Strike
Authors: Nikolovski Srete N , Baus Zoran , Knežević Goran 
Published: October 2019

This paper examines the frequency response of power plant grounding system exposed to the lightning current. Large amount of current generated by the stroke flow in the grounding system of power plant and dissipate in the soil. The electric and magnetic field generated by such high voltages and currents may cause damage of equipment and may be dangerous for the personnel in power plant. For the every given frequency obtained using Fast Fourier Transformation (FFT) of lightning current impulse, electromagnetic field theory approach is used to solve Maxell’s equation and compute scalar potential, electric and magnetic field. Also, the influence of the point in which lightning current is diffused in the grounding system is presented. Three dimensional plots of spatial distribution of scalar potential, electric and magnetic field are presented. The time domain response of scalar potential, electric and magnetic field on one profile is also presented.
Insights on Extent of Effectiveness, Trend, and Gap in Existing Frameworks for e-Procurement System
Authors: Madhusudan N , Rao L. Manjunatha 
Published: October 2019

With the advancement of technologies, the organization and business applications are witnessed with the increasing trends to adopt cut edge technologies to normalize their business process. However, this trend was not observed much on the e-Procurement system, where the existing users still place the purchase order using conventional web-based approach that cannot address various ongoing challenges in eProcurement system. This paper attempts to review the existing trends and challenges of web-based eProcurement system and discusses that with the adoption of cloud computing as present trend, such ongoing issues of eProcurement can be addressed. The paper discusses the effectiveness of the existing techniques with interpretation of research gap.
Statistical Analysis on Preliminary Breakdown Pulses of Positive Cloud-to-Ground Lightning in Malaysia
Authors: Wooi Chin-Leong , Abdul-Malek Zulkurnain , Ahmad Noor Azlinda , Mokhtari Mehrdad , Salimi Behnam 
Published: October 2019

<p>This aim of this paper is to study the preliminary breakdown pulses (PBP) of positive cloud-to-ground (+CG) lightning flashes in Malaysia. There is a difference in PBP characteristics when a comparison is made between positive and negative flashes. To the best of the authors’ knowledge, this is the first time the PBP characteristics preceding positive lightning in Malaysia are reported. This study was carried out in Johor Bahru, Malaysia using a broadband antenna system during a monsoon period (Oct-Dec, 2012). It is found that the PBP for +CG lightning is much more complicated compared to the positive cloud-to-ground (–CG) lightning since only negative PBP trains are usually present in the –CG lightning. Out of 21 analyzed positive flashes, four types of PBP trains were identified according to their initial polarities. These are negative PBP (20%), positive PBP (15%), PBP with polarity reversal (10%), and PBP with irregular polarity (15%). The balance 40% of flashes are without any PBP. The effect of geographical region may also cause the observed differences in the cloud discharge processes including the types of PBP. More studies are needed to determine the relationship between the return stroke and PBP.</p>
Incremental Learning on Non-stationary Data Stream using Ensemble Approach
Authors: Thalor Meenakshi Anurag , Patil Shrishailapa 
Published: October 2019

<span lang="EN-US">Incremental Learning on non stationary distribution has been shown to be a very challenging problem in machine learning and data mining, because the joint probability distribution between the data and classes changes over time. Many real time problems suffer concept drift as they changes with time. For example, an advertisement recommendation system, in which customer’s behavior may change depending on the season of the year, on the inflation and on new products made available. An extra challenge arises when the classes to be learned are not represented equally in the training data i.e. classes are imbalanced, as most machine learning algorithms work well only when the training data is balanced. The objective of this paper is to develop an ensemble based classification algorithm for non-stationary data stream (ENSDS) with focus on two-class problems. In addition, we are presenting here an exhaustive comparison of purposed algorithms with state-of-the-art classification approaches using different evaluation measures like recall, f-measure and g-mean</span>
Estimation of Optimum Tilt Angle of PV Panel for Maximum Energy Harvesting
Authors: Kathirvelu K. Parkavi , Viswanathan B. 
Published: October 2019

<p>In solar energy conversion system harvesting of maximum energy is necessary in order to maximize the utilization of available energy. The maximum energy from the solar panel can be extracted by keeping solar panel in an optimum tilt angle. Various approaches are available to find optimum tilt condition of the solar panel. In this work two different positions of the panel such as fixed tilt, seasonal tilt were analyzed using isotropic and anisotropic models. Among the various models available in the above said broad category six models such as Liu-Jordan, Koronokis Model, Badescu model, Hay and Davis model, Reindel model, Hay&amp;Davis and Reindel &amp; Klucher combined model are incorperated to predict the monthly average of daily global solar irradiation of the inclined panels held in SASTRA University, Thanjavur (India) location. Statistical tests have been performed in order to evaluate the consequences predicted by the models with the experimental results. Finally a detailed comparison between fixed tilt and seasonal tilt of the panel has been carried out and the suitable model for this location is also suggested.</p>
A Novel Approach to PID Controller Design for Improvement of Transient Stability and Voltage Regulation of Nonlinear Power System
Authors: Chaudhary Rekha , Singh Arun Kumar , Agrawal Saligram 
Published: October 2019

<p>In this paper, a novel design method for determining the optimal PID controller parameters for non-linear power system using the particle swarm optimization (PSO) algorithm is presented. The direct feedback linearization (DFL) technique is used to linearize the nonlinear system for computing the PID (DFL-PID) controller parameters. By taking an example of single machine infinite bus (SMIB) power system it has been shown that PSO based PID controller stabilizes the system and restores the pre-fault system performance after fault is cleared and line is restored. The performance of this controlled system is compared with the performance of DFL-state feedback controlled power system. It has been shown that the performance of DFL-PID controlled system is superior compared to DFL-state feedback controlled system. For simulation MATLAB 7 software is used. </p>
Modelling and Predicting of the Characteristics of a Photovoltaic Generator on a Horizontal and Tilted Surface
Authors: Elyaqouti Mustapha , Bouhouch Lahoussine , Ihlal Ahmed 
Published: October 2019

<p>In the present paper, we will attempt to predict the <em>I<sub>pv</sub>-V<sub>pv</sub></em> output characteristic of a photovoltaic generator (<em>PVG</em>) and consequently the generated electric power. This will be possible through modeling, extracting the electrical parameters of the <em>PVG</em> under study and also, by estimating the global incident solar radiation, on a surface, first horizontally, and then tilted to a given angle. Mathematical models developed in Matlab, to characterize the studied PVG are validated by experimental data of the PVG manufacture. While models associated with global radiation are validated by measurements taken by the meteorological station installed on the laboratory site <em>ERTAIER</em> (Team for Research in Technology and Advanced Engineering of Renewable Energies) of Higher School of Technology Agadir (ESTA).</p><p> </p>