bluuebunny/crossref_metadata_2025_split huggingface dataset:
Role of 1‐Deoxysphingolipids in docetaxel neurotoxicity
Authors: Becker Katrin A. , Uerschels Anne‐Kathrin , Goins Laura , Doolen Suzanne , McQuerry Kristen J. , Bielawski Jacek , Sure Ulrich , Bieberich Erhard , Taylor Bradley K. , Gulbins Erich , Spassieva Stefka D. 
Published: February 2020

AbstractA major dose‐limiting side effect of docetaxel chemotherapy is peripheral neuropathy. Patients’ symptoms include pain, numbness, tingling and burning sensations, and motor weakness in the extremities. The molecular mechanism is currently not understood, and there are no treatments available. Previously, we have shown an association between neuropathy symptoms of patients treated with paclitaxel and the plasma levels of neurotoxic sphingolipids, the 1‐deoxysphingolipids (1‐deoxySL) (Kramer et al, FASEB J, 2015). 1‐DeoxySL are produced when the first enzyme of the sphingolipid biosynthetic pathway, serine palmitoyltransferase (SPT), uses L‐alanine as a substrate instead of its canonical amino acid substrate, L‐serine. In the current investigation, we tested whether 1‐deoxySL accumulate in the nervous system following systemic docetaxel treatment in mice. In dorsal root ganglia (DRG), we observed that docetaxel (45 mg/kg cumulative dose) significantly elevated the levels of 1‐deoxySL and L‐serine‐derived ceramides, but not sphingosine‐1‐phosphate (S1P). S1P is a bioactive sphingolipid and a ligand for specific G‐protein‐coupled receptors. In the sciatic nerve, docetaxel decreased 1‐deoxySL and ceramides. Moreover, we show that in primary DRG cultures, 1‐deoxysphingosine produced neurite swellings that could be reversed with S1P. Our results demonstrate that docetaxel chemotherapy up‐regulates sphingolipid metabolism in sensory neurons, leading to the accumulation of neurotoxic 1‐deoxySL. We suggest that the neurotoxic effects of 1‐deoxySL on axons can be reversed with S1P.
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First Steps Toward Positive Behavior Support in the Netherlands: A Pilot Study Exploring the Effectiveness of a Training for Staff
Authors: Klaver Marian , de Bildt Annelies , Bruinsma Eke , de Kuijper Gerda , Hoekstra Pieter J. , van den Hoofdakker Barbara 
Published: February 2020

AbstractDespite the effectiveness of positive behavior support (PBS) in reducing challenging behaviors, the availability of PBS for individuals with intellectual disabilities is limited in many countries including the Netherlands. Training care staff supporting individuals with intellectual disabilities in PBS may be a way to improve the provision of PBS. We aimed to explore the preliminary effectiveness of a PBS training for staff in reducing challenging behaviors of individuals with intellectual disabilities. Using a one group, double pretest–posttest design, 24 staff members involved in the care of 11 adult individuals with intellectual disabilities and challenging behaviors participated. We assessed changes in challenging behaviors and quality of life of the individuals, in staff self‐efficacy in dealing with challenging behaviors, and in the use of restraints, using staff rated questionnaires, structured interviews, and medical files. At posttest, we found significant reductions in challenging behaviors, improved quality of life, and increased staff self‐efficacy, but no changes in the use of restraints. In contrast, no significant changes on any of the measures appeared between the two pretests. These findings suggest that a staff training in PBS may be effective for reducing challenging behaviors in individuals with intellectual disabilities.
Home‐based chemically induced whitening (bleaching) of teeth in adults: A summary of a systematic review
Authors: Blanchard Denise , van Wissen Kim 
Published: February 2020

AbstractThe demand for whiter teeth has been increasing, and home‐based remedies are a popular way of whitening the teeth. These products may be prescribed by the dentist or purchased over the counter and comprise different modes to whiten the teeth and are administered in a range of ways by the person. This review found that the evidence was insufficient to draw reliable conclusions about the intervention, i.e., the use of these whitening products. The results indicated that people may experience side effects that irritate the mouth and gums. Therefore, nurses should direct people who are interested in teeth whitening to their dental professional for a discussion.
Textual network analysis: Detecting prevailing themes and biases in international news and social media
Authors: Segev Elad 
Published: February 2020

AbstractThe growing volumes of information available today provide opportunities but also challenges for social scientists. This paper presents textual network analysis—a network analysis procedure that transforms any given text into a visual map of words co‐occurring together. It aims at scholars and students who are not familiar with network analysis, showing step‐by‐step how to use this approach and highlighting its advantages and applications. It demonstrates how to identify the main themes appearing in the text as well as to detect its biases and frames. Researchers can use this procedure as a grounded content analysis to formulate theories or as a basis to test existing hypotheses. The second part of the paper presents two studies that applied textual network analysis: (a) to identify the main themes raised by elite newspapers on the “fake news” discourse and (b) to map the topics related to China on Twitter. Both examples show how textual network analysis can be relevant for communication, international relations, and political science scholars as well as for practitioners, wishing to understand the prevailing discourses and tailor their messages more effectively.
Genetically encoded Ca2+‐sensor reveals details of porcine endothelial cell activation upon contact with human serum
Authors: Wuensch Annegret , Kameritsch Petra , Sfriso Riccardo , Jemiller Eva‐Maria , Bähr Andrea , Kurome Mayuko , Kessler Barbara , Kemter Elisabeth , Kupatt Christian , Reichart Bruno , Rieben Robert , Wolf Eckhard , Klymiuk Nikolai 
Published: February 2020

AbstractThe activation of the endothelial surface in xenografts is still a poorly understood process and the consequences are unpredictable. The role of Ca2+‐messaging during the activation of endothelial cells is well recognized and routinely measured by synthetic Ca2+‐sensitive fluorophors. However, these compounds require fresh loading immediately before each experiment and in particular when grown in state‐of‐the‐art 3D cell culture systems, endothelial cells are difficult to access with such sensors. Therefore, we developed transgenic pigs expressing a Ca2+‐sensitive protein and examined its principal characteristics. Primary transgenic endothelial cells stimulated by ATP showed a definite and short influx of Ca2+ into the cytosol, whereas exposure to human serum resulted in a more intense and sustained response. Surprisingly, not all endothelial cells reacted identically to a stimulus, rather activation took place in adjacent cells in a timely decelerated way and with distinct intensities. This effect was again more pronounced when cells were stimulated with human serum. Finally, we show clear evidence that antibody binding alone significantly activated endothelial cells, whereas antibody depletion dramatically reduced the stimulatory potential of serum. Transgenic porcine endothelial cells expressing a Ca2+‐sensor represent an interesting tool to dissect factors inducing activation of porcine endothelial cells after exposure to human blood or serum.
Analysis of risk factors and outcome in peritoneal dialysis patients with early-onset peritonitis: a multicentre, retrospective cohort study
Authors: Ma Xiaoyan , Shi Yingfeng , Tao Min , Jiang Xiaolu , Wang Yi , Zang Xiujuan , Fang Lu , Jiang Wei , Du Lin , Jin Dewei , Zhuang Shougang , Liu Na 
Published: February 2020

ObjectivesTo investigate the risk factors associated with early-onset peritonitis (EOP) and their influence on patients’ technique survival and mortality.Study designRetrospective, cohort study.SettingThree peritoneal dialysis (PD) units in Shanghai.ParticipantsPD patients from 1 June 2006 to 1 May 2018 were recruited and followed up until 31 December 2018. According to time-to-first episode of peritonitis, patients were divided into non-peritonitis (n=144), EOP (≤6 months, n=74) and late-onset peritonitis (LOP) (>6 months, n=139).Primary and secondary outcome measuresEOP was defined as the first episode of peritonitis occurring within 6 months after the initiation of PD. The outcomes were all-cause mortality and technique failure.ResultsOf the 357 patients, 74 (20.7%) patients developed their first episode of peritonitis within the first 6 months. Compared with the LOP group, the EOP group had older ages, more female patients, higher Charlson Comorbidity Index (CCI) score, lower serum albumin levels and renal function at the time of initiation of PD, and higher diabetes mellitus and peritonitis rates (p<0.05).Staphylococcuswas the most common Gram-positive organism in both EOP and LOP groups. The multivariate logistic regression analysis showed that factors associated with EOP included a higher CCI score (OR 1.285, p=0.011), lower serum albumin level (OR 0.924, p=0.016) and lower Kt/V (OR 0.600, p=0.018) at start of PD. In the Cox proportional-hazards model, EOP was more likely a predictor of technique failure (HR 1.801, p=0.051). There was no difference between EOP and LOP for all-cause mortality.ConclusionA higher CCI score and lower serum albumin level and Kt/V at PD initiation were significantly associated with EOP. EOP also predicted a high peritonitis rate and poor clinical outcome.
Qualitative instruments involving clients as co-researchers to assess and improve the quality of care relationships in long-term care: an evaluation of instruments to enhance client participation in quality research
Authors: Scheffelaar Aukelien , Bos Nanne , Triemstra Mattanja , de Jong Marjan , Luijkx Katrien , van Dulmen Sandra 
Published: February 2020

ObjectivesEnhancing the active involvement of clients as co-researchers is seen as a promising innovation in quality research. The aim of this study was to assess the feasibility and usability of five qualitative instruments used by co-researchers for assessing the quality of care relationships in long-term care.Design and settingA qualitative evaluation was performed in three care organisations each focused on one of the following three client groups: frail older adults, people with mental health problems and people with intellectual disabilities. A total of 140 respondents participated in this study. The data comprised observations by researchers and experiences from co-researchers, clients and professionals.ResultsTwo instruments scored best on feasibility and usability and can therefore both be used by co-researchers to monitor the quality of care relationships from the client perspective in long-term care.ConclusionsThe selected instruments let co-researchers interview other clients about their experiences with care relationships. The study findings are useful for long-term care organisations and client councils who are willing to give clients an active role in quality improvement.
Prediction of solar irradiance using grey wolf Optimizer-Least-Square support vector machine
Authors: Mat Yasin Zuhaila , Ashida Salim Nur , Ab Aziz Nur Fadilah , Mohamad Hasmaini , Ab Wahab Norfishah 
Published: February 2020

<span>Prediction of solar irradiance is important for minimizing energy costs and providing high power quality in a photovoltaic (PV) system. This paper proposes a new technique for prediction of hourly-ahead solar irradiance namely Grey Wolf Optimizer- Least-Square Support Vector Machine (GWO-LSSVM). Least Squares Support Vector Machine (LSSVM) has strong ability to learn a complex nonlinear problems. In GWO-LSSVM, the parameters of LSSVM are optimized using Grey Wolf Optimizer (GWO). GWO algorithm is derived based on the hierarchy of leadership and the grey wolf hunting mechanism in nature. The main step of the grey wolf hunting mechanism are hunting, searching, encircling, and attacking the prey. The model has four input vectors: time, relative humidity, wind speed and ambient temperature. Mean Absolute Performance Error (MAPE) is used to measure the prediction performance. Comparative study also carried out using LSSVM and Particle Swarm Optimizer-Least Square Support Vector Machine (PSO-LSSVM). The results showed that GWO-LSSVM predicts more accurate than other techniques. </span>
Sixteen level power factor correction by using arduino microcontroller based fuzzy idea
Authors: Al-Thahab Osama Qasim Jumah , Hasoony Ali Shaban , Alkhafaji Ahmed Samawi 
Published: February 2020

Nowadays, a controller that improves the power factor (PF) is automatically designed and implemented to correct the value of the power factor once they falls below a certain one. In industry, day by day, there is an increase in the use of domestic applications and inductive loads such that they consider the essential reason whose responsible on lowering the power factor. Therefore a development method is needed to improve the power factor by adding manually variable capacitors or automatically. Fuzzy algorithm can be used as an intelligent system to estimate the value of the capacitor that should be added to compensate the effect of inductors. In this work, sixteen level of power factor are corrected automatically by new way through using Arduino Uno that programed with the aid of Fuzzy logic idea. A bank of four capacitors with different values is used and the Fuzzy helps taking the decision of which capacitors be ON or OFF. Here, the correction of power factor is from 0.64 to 0.98, and each level gives an increment of 0.02125 in PF. The experimental results are very close to the theoretical one, and the cost is very acceptable since the circuit is built from cheap equipments such as Arduino, potential transformer, relays, zero crossing circuit and current transformer. In addition, the maximum error due to the difference between the capacitor theoretical calculation and the practical is about 4.1%, while the error between the desired and the result value of PF is about 4.08% for maximum.
Design of PI-neural controller for hybrid active power filter
Authors: Thuyen Chau Minh 
Published: February 2020

<p>This paper aims to design a control method using an adaptive controller for Hybrid Active Power Filter. The controller of designed method includes a traditional discrete Proportional Integral controller and a neural regulator. The neural regulator is used to estimate the nonlinear model of Hybrid Active Power Filter and predict an output value in the future to adjust the parameters of the traditional discrete Proportional Integral controller according to the change of load. Compared to the control method using a conventional Proportional Integral controller, the proposed controller shows the advantages of smaller compensation error and smaller total harmonic distortion and able to online control very well. The simulations have verified the effectiveness of proposed controller.</p><p> </p>
Smart insects repeller
Authors: Seroja Sarnin Suzi , Binti Mohammad Nur Jumaatul Hidayati , Fadzlina Naim Nani , Ya’acob Norsuzila , Idris Azlina , Wan Mohamad Wan Norsyafizan , Md Tan Mohd Nor 
Published: February 2020

<span>One of the key issues for those involved in farming and greenhouse is the use of pesticides. In a recent headline, there has been an epidemic of insect infestation that has destroyed 211 hectares of rice plants. These concerns have led to the discussion of possible over-use of pesticides that are not just killing dangerous pests, but also other animals that help combat the pest. In order to overcome the problem, a research was conducted by introducing a smart insect killer. In this developing project, Pyroelectric (PIR) sensor will be using as a motion detector towards insects. This sensor plays a role to transmit the signal for action in taking care of the plant. The IR sensors will install around the plant, so that it has good range to detect any motion. As a result, suitable chemical spray will trigger to repel these insects. A light emitting diode as an indicator of functional to the system. "Smart Insect Repeller" will work when certain pests are detected and this will reduce the use of poisons and the quality of the crop will be preserved due to the use of minimal poisons.</span>
The optimal transmission and dual resonant for different geometrical U-shaped THz nano antenna with surface plasmons (SPs) biosensors
Authors: Aljanabi Mohanad H. , Duhis Ahmed Hussein , Aftan Ahmed Obaid , Alanı Nadia 
Published: February 2020

<p>In this study, we focus on plasmonic nanoantenna structures for the U shaped. We will do our simulations with FDTD method (finite difference time domain) by considering commercial software Lumerical. We use U-shaped and play with the geometrical parameters such as length (L), width (W), high (H), to enhance the transmission of light. In addition to this, we will consider the different methods and substrates. U-shaped designed structure by using gold and<strong> </strong>MgF2 materials and studied how to enhance nanoantenna coefficients to get the highest electric field improvement factor and support multi-spectral resonances, that can be tuned from visible to near-IR wavelengths. For the optimum coefficients, the proposed U-shaped nanoantenna reached the optimal transmission and multi-resonant for different geometrical size. In results shows that in this model are wideband range of wavelengths and optimal transmission and all physical boundary conditions are chosen as perfectly matched layer (PML) to avoid undesired reflections, when we change the size of U-shaped with different materials is used and gets more proposes in the biosensors, biomedical and laser optical communication and for nanoantennas can also be deposited on layered substrates to enable solar cells and energy harvesting applications .And we can see that there are two resonances at (𝝺<sub>1 </sub>and 𝝺<sub>2</sub>) wavelength range (500-950) nm, the first one has a transmission 0.73 at wavelength 700nm; and the other one has a transmission 0.88 at wavelength 845nm from this designed. We will investigate the structure of nanoantenna to be used as biosensors.</p><p> </p>
Dependable estimations for education quality using fuzzy logic based strategy a case study (University of Kufa)
Authors: Al Janabi Adel , Kareem Ehsan Ali , Al Sagheer Radhwan Hussein Abdulzhraa 
Published: February 2020

<span>The consideration that the Iraqi community has concentrated on the training area has delivered another college responsibility routed to superiority viewpoints for all training connected facilities. In truth, a superiority arranged facility necessitates perfection in the structure and arranging of facility exercises, in addition to amid its conveying for the received facility execution assessment strategy. In any case, considering that facility execution assessments are profoundly founded on partners’ decisions, they can be described by conceivable vulnerabilities identified with deficiency for incomplete obliviousness, imprecision for subjectivity and even dubiousness. In this way, underneath these circumstances, temperamental outcomes can be acquired by broadly measured facility investigation strategies. This paper is a strategy dependent an ongoing augmentation of ServQual display and it utilizes a consolidated way of Fuzzy Set Theory of command process technique that is proposed to adequately deal with vulnerability in facility execution examinations. Specifically, Fuzzy Set Theory is measured to manage vulnerability, while AHP strategy is embraced as device to appraise the significance loads of key facility characteristics. In this way, the key investigation of the facility esteem tree identified with the program in University of Kufa is made by using the planned strategy. The completed facility examination permits the most impacting facility execution components to be caught and remarked. At last, acquired outcomes demonstrate that the teachers' view of facility quality definitively impacts by large facility execution level. </span>
A multi-layer perceptron based improved thyroid disease prediction system
Authors: Selwal Arvind , Raoof Ifrah 
Published: February 2020

<p>A challenging task for the medical science is to achieve the accurate diagnosis of diseases prior to its treatment. A pattern classifier is used for solving complex and non-separable computing problems in different fields like biochemical analysis, image processing and chemical analysis etc .The accuracy for thyroid diagnosis system may be improved by considering few additional attributes like heredity ,age, anti-bodies etc. In this paper, a thyroid disease prediction system is developed using multilayer perceptron (MLP). The proposed system uses 7–11 attributes of individuals to classify them in normal, hyperthyroid and hypothyroid classes. The proposed model uses gradient descent backpropogation algorithm for training the multilayer perceptron using dataset of 120 subjects. The thyroid prediction system promises excellent overall accuracy of ~100% for 11 attributes. However, the system results in a lower accuracy of 66.7% using 11 attributes and 70% using 7 attributes with 30 subjects.</p>
Cloud computing based load balancing algorithm for erlang concurrent traffic
Authors: Jittawiriyanukoon Chanintorn 
Published: February 2020

<p>The distribution of scheduler from user inquiries in the clouds is complex. In keeping up with the cloud computing environment and the inquirers, the clouds meet with some problematic load balancing complications as an improving load balancing tool induces the rigorous efficiency of the cloud based website’s user access. Overloaded or underloaded conditions originate processing catastrophe regarding the prolonged execution time, bandwidth hog, malfunction, and etc. Besides, to manipulate Erlang concurrent tasks is another skyward situation. Hence, the load balancing is obliged to exhaust all mentioned conditions. The proposed load balancing algorithm for Erlang concurrent tasks (those are and could also be autonomous and unstable.) on VMware workstations is introduced. There are several load patterns within the clouds corresponding to CPU’s load (utilization), memory load (queue size), link capacity load (bandwidth), and so on. The proposed load balancing is to spot underloaded and overloaded conditions then stabilizes the weight amidst computing nodes. There are countless load balancing approaches in the cloud environment to examine performance parameters. A short outline of corresponding performance metrics in the review and their findings are presented. To investigate the fit efficiency of the proposed algorithm, the simulation is applied then results based on the proposed method are compared to the existing ones. The outcomes settle the weight balancing, outperform others when executing Erlang traffic, and are catered in the context.</p>
Sizing verification of a 4kWp retrofitted grid-connected photovoltaic system: a case study in Shah Alam, Malaysia
Authors: Shukor F.A.M. , Zainuddin H. , Manja A. , Khir F. L. M. 
Published: February 2020

Electricity are commonly generated from several types of energy resources such as fossil and nuclear energy. However, due to emission of carbon dioxide from both sources, renewable energy is introduced to provide a clean and secure sustainable energy. One of the potential renewable energy application is Photovoltaic (PV) system; namely grid-connected photovoltaic (GCPV) system and stand-alone photovoltaic (SAPV) system. In this study, a mathematical approach of SEDA’s GCPV sizing model is implemented to size a 4kWp of a retrofitted GCPV system by the method claimed to be the best practice mathematical design model under tropical climate Malaysia. The outcome of the sizing approach will then be evaluated with HelioScope software, one of commercial simulation tools available in current market. The final result obtained from both methods shows that the final PV array configuration is 1 x 12 (parallel x series) which is in agreement to the actual installed system.