bluuebunny/crossref_metadata_2025_split huggingface dataset:
IL-23 induces the expression of pro-osteogenic factors in osteoclasts
Authors: Pang Dan-Dan , Cai Li , Zhang Jing-Ru , Dai Sheng-Ming 
Published: February 2020

AbstractBackground The mechanism for the new bone formation in ankylosing spondylitis (AS) is still unclear. Although it has been demonstrated that IL-23 plays a pivotal role in the pathophysiology of AS, IL-23 has no direct effects on osteoblasts but modulates the function of osteoclasts.Aims To explore whether IL-23 indirectly facilitates new bone formation through osteoclasts in AS, here we analyzed whether IL-23 enhances the expression levels of pro-osteogenic factors by osteoclasts.Methods Mononuclear cells were harvested from mouse bone marrow and cultured in the presence of M-CSF (50 ng/ml) and RANKL (30 ng/ml) to trigger the production of osteoclasts. Protein and mRNA expression levels of Semaphorin 4D, Ephrin B2, BMP2, BMP6, SPHK1, HtrA1 and Wnt10b were measured using Western blot and qRT-PCR.Results Primary mononuclear cells were transformed into osteoclasts with RANKL and M-CSF. The increased expression of NFATc1 and TRAP together with TRAP staining of>3 nuclei were used to identify mature osteoclasts. The mRNA expression levels of BMP2, Ephrin B2 and SPHK1 were enhanced by 1.46, 2.1 and 2.46 folds after exposure to IL-23. Confirmation of increased levels of Ephrin B2 and SPHK1 in IL-23-stimulated osteoclasts was provided by Western blot analysis. IL-23 had no effects on the expression of BMP6 or Wnt10b, or on the anti-osteogenic factors Semaphorin 4D or HtrA1.Conclusions IL-23 induces osteoclasts to express pro-osteogenic factors rather than anti-osteogenic factors, suggesting IL-23 might indirectly promote the differentiation of osteoblasts through activated osteoclasts in ankylosing spondylitis.
Comparison of Health-Related-Quality-of-Life among Children with Epilepsy and a Healthy Control Group in Tehran
Authors: Abdollahi Morteza , Abbasi-Kangevari Mohsen , Kolahi Ali-Asghar , Farsar Ahmad-Reza 
Published: February 2020

AbstractThe objective of this study was to determine the quality-of-life (QoL) among children with epilepsy in comparison with a healthy control group. Participants included mothers of 206 children with epilepsy and of 211 healthy controls. The QoL was measured via cross-cultural adaptation of the Quality-of-Life in Children with Epilepsy Questionnaire, which was also modified for the control group. The mean (standard deviation) overall QoL score of children with epilepsy was lower than that of the healthy control group at: 74.3 (8.2) versus 87.9 (6.6), p < 0.001. In addition, all seven dimensions of QoL were lower among children with epilepsy compared with that of the healthy control group. The health-related QoL of children with epilepsy was lower than that of the healthy control group. Children experiencing seizures more frequently, experiencing side effects from antiepileptic drugs, having a history of hospitalization, and having poor school performance displayed lower scores in QoL, which may highlight the impact of the severity of the disease and proper management of seizures on the quality-of-life in children with epilepsy.
Visual Vertigo, Motion Sickness, and Disorientation in Vehicles
Authors: Bronstein A.M. , Golding J.F. , Gresty M.A. 
Published: February 2020

AbstractEnvironmental circumstances that result in ambiguity or conflict with the patterns of sensory stimulation may adversely affect the vestibular system. The effect of this conflict in sensory information may be dizziness, a sense of imbalance, nausea, and motion sickness sometimes even to seemingly minor daily head movement activities. In some, it is not only exposure to motion but also the observation of objects in motion around them such as in supermarket aisles or other places with visual commotion; this can lead to dizziness, nausea, or a feeling of motion sickness that is referred to as visual vertigo. All people with normal vestibular function can be made to experience motion sickness, although individual susceptibility varies widely and is at least partially heritable. Motorists learn to interpret sensory stimuli in the context of the car stabilized by its suspension and guided by steering. A type of motorist's disorientation occurs in some individuals who develop a heightened awareness of perceptions of motion in the automobile that makes them feel as though they may be rolling over on corners and as though they are veering on open highways or in streaming traffic. This article discusses the putative mechanisms, consequences and approach to managing patients with visual vertigo, motion sickness, and motorist's disorientation syndrome in the context of chronic dizziness and motion sensitivity.
Decision between mitophagy and apoptosis by Parkin via VDAC1 ubiquitination
Authors: Ham Su Jin , Lee Daewon , Yoo Heesuk , Jun Kyoungho , Shin Heejin , Chung Jongkyeong 
Published: February 2020

SignificanceVDAC1 transports ions and small molecules at the mitochondrial outer membrane. In this study, we discover that Parkin, a frequently mutated Parkinson disease protein, ubiquitinates VDAC1 in two different manners, poly- and monoubiquitination. Interestingly, VDAC1 defective in polyubiquitination hinders Parkin-mediated mitophagy, but VDAC1 defective in monoubiquitination induces apoptosis. When VDAC1 deficient with monoubiquitination is expressed in mammalian cells and fruit fly, we observe increased mitochondrial calcium influx and apoptosis and typical in vivo phenotypes related to Parkinson disease, such as defective locomotive activity and loss of dopaminergic neurons. These results suggest that the dual regulation of mitophagy and apoptosis by Parkin via VDAC1 poly- and monoubiquitination is highly critical in protecting cells from the pathogenesis of Parkinson disease.
Pronunciation among adult Indigenous language learners
Authors: Bird Sonya 
Published: February 2020

Abstract
This paper describes the features that set adult Indigenous language learning apart from other types second
language learning, examining in particular the role that unique teaching and learning contexts might play in the acquisition of
pronunciation. As a case study, the pronunciation of SENĆOŦEN (Coast Salish) /t’/ is compared across four groups of speakers,
including two groups of adult learners. Acoustic analysis shows that /t’/, described as a weak ejective in previous work, is now
consistently realized as a strong ejective, especially among learners and teachers. These findings are discussed with reference to
factors relevant to language learning and teaching in general, as well as to ones relevant to Indigenous language learning and
teaching in particular.
Concernee-Concern constructions
Authors: Velde Mark L. O. Van de 
Published: February 2020

Abstract
This paper provides an analysis of the phenomenon commonly known as external possession in the Bantu languages. On
the basis of comparative data, I argue for a prototype approach to the intricate problem of determining the conditions of use of
such constructions, which I rename Concernee-Concern constructions, introducing two new terms for the thematic
roles involved. Situations can be expressed by means of Concernee-Concern construction if they correspond to the prototypical
situation that involves somebody’s body part being affected by an action, or if they show a family resemblance to this situation.
I argue against the relevance of alienability. The paper also provides a formal typology of Concernee-Concern constructions in the
Bantu languages.
Towards automated in vivo tracheal mucociliary transport measurement: Detecting and tracking particle movement in synchrotron phase-contrast x-ray images
Authors: Gardner Mark , Parsons David , Morgan Kaye , McCarron Alexandra , Cmielewski Patricia , Gradl Regine , Donnelley Martin 
Published: February 2020

Abstract
Accurate in vivo quantification of airway mucociliary transport (MCT) in animal models is important for understanding diseases such as cystic fibrosis, as well as for developing therapies. A non-invasive method of measuring MCT behaviour, based on tracking the position of micron sized particles using synchrotron x-ray imaging, has previously been described. In previous studies, the location (and path) of each particle was tracked manually, which is a time consuming and subjective process.
Here we describe particle tracking methods that were developed to reduce the need for manual particle tracking. The MCT marker particles were detected in the synchrotron x-ray images using cascade classifiers. The particle trajectories along the airway surface were generated by linking the detected locations between frames using a modified particle linking algorithm. The developed methods were compared with the manual tracking method on simulated x-ray images, as well as on in vivo images of rat airways acquired at the SPring-8 Synchrotron.
The results for the simulated and in vivo images showed that the semi-automatic algorithm reduced the time required for particle tracking when compared with the manual tracking method, and was able to detect MCT marker particle locations and measure particle speeds more accurately than the manual tracking method. Future work will examine the modification of methods to improve particle detection and particle linking algorithms to allow for more accurate fully-automatic particle tracking.
Passive advection of fractional Brownian motion by random layered flows
Authors: Squarcini Alessio , Marinari Enzo , Oshanin Gleb 
Published: February 2020

AbstractWe study statistical properties of the processY(t) of a passive advection by quenched random layered flows in situations when the inter-layer transfer is governed by a fractional Brownian motionX(t) with the Hurst indexH∈ (0,1). We show that the disorder-averaged mean-squared displacement of the passive advection grows in the large timetlimit in proportion tot2−H, which defines a family of anomalous super-diffusions. We evaluate the disorder-averaged Wigner–Ville spectrum of the advection processY(t) and demonstrate that it has a rather unusual power-law form1/f3−Hwith a characteristic exponent which exceed the value 2. Our results also suggest that sample-to-sample fluctuations of the spectrum can be very important.
Laboratory scale ozone-based post-treatment from textile wastewater treatment plant effluent for water reuse
Authors: Suryawan I W K , Helmy Q , Notodarmojo S 
Published: February 2020

Abstract
Conventional treatment such as sedimentation, aeration and activated sludge are only capable to remove organic matter. The color removal in the waste water treatment required as post-treatment at the end of the process. Dye can reduce the aesthetic value of a water body. Dye containing are not included in the textile industry’s quality standards in Indonesia. The subjective of this study is to improve the quality of waste water for textile waste water treatment plants using the ozone oxidation process. Real waste water from the waste water treatment plant were used and treated by biological processes. The ozone treatment reactor has 2 L volume and flowed with ozone at a dose 0.05 and 0.5 mg/minute. The main parameters that is removed in this study are color and COD. Efficiency of colors removal reached 92% and 93%, whilst efficiency of COD removal reached 78% and 83.5%. Based on the quality standards of textile waste water in Minister of Environment Regulation No. 51/2014 and Government Regulation of Republic of Indonesia No. 82/2001 (Class 4 designation) parameters COD, BOD5, total phenol, and total ammonia (NH3-N) have met the quality standards.
The flexural strength of retrofitting tectona grandis wood’s beam structures
Authors: Yasin I , Sulhan M A , Chan E , Salim A 
Published: February 2020

Abstract
Indonesia has thousands of ethnic groups with a variety of traditional buildings. Traditional buildings made of wood almost all experienced problems of material damage due to insect attacks and weathering due to weather influences.The community tends to dismantle building elements that have been damaged by hoisting insects. This happens because of the lack of knowledge about techniques in repairing or retrofitting wood structures. Wood material is susceptible to problems with elemental damage due to weathering and insect attacks. Damage to the structural elements of the wooden beam does not occur as a whole but only in certain areas. To maintain the strength of the wood in order to carry the burden, it is necessary to strengthen only the damaged area. So the structural elements of the wooden block do not need to be replaced in total but only on the damaged part. Testing the tensile strength of the flexural strength of the whole Tectona grandis wood block as many as 6 pieces, 6 pieces of Teak wood without adhesive, Tectona grandis using 6 pieces of adhesive with a size of 120 x 8 x 6 cm, and Tectona grandis wood as 6 pieces of adhesive with the size 10 x 4 x 6 cm, and the adhesive used is epoxy glue. The results of the study stated that the maximum flexural strength is occurring in Teak wood beams with adhesive (D-1, D-2, D-3) able to have stronger flexural strength of 59.8455 N/mm2, 52.22533594 N/mm2, 54.54848438 N/mm2, compared to solid beams (F-1, F-2, F-3) of 39.72684375 N/m2, 53.01527344 N/mm2, 60.58877344 N/mm2. This research also shows that the connection of Teak wood blocks with adhesives has better flexural strength.
Attadance system in the teaching and learning process using RFID smart cards
Authors: Khairudin M , Syarif D Y 
Published: February 2020

Abstract
The use of Electronic Cards for Student Attadance ’aims to design and build a system based on Arduino Uno microcontrollers and RFID modules. The system is expected to be able to facilitate lecturers in conducting attendance, reduce the attendance habits carried out by students, and increase the intensity of the use of student sign cards. The Attadance System based on the Arduino Uno microcontroller and RFID module is designed and built through several stages, namely: (1) analysis along with identification of the needs of components and other auxiliary equipment that support the success of system design; (2) designing components and mechanical design as component containers; (3) system implementation; (4) system testing and overall system evaluation. System testing shows the results in the form of a system performance that shows the student’s name, student’s master number, time of entry and when the student exits from the room. This system is equipped with a person counting device in the room, so it can be ascertained that there will not be an incident entrusted because the number of cards scanned can be matched with the number of students in the room.
Biomechanics, visual and carrying discomfort: The role of ergonomics among technology education professionals on the use of laptop in no-desk settings
Authors: Chedi J M , Mustapha R 
Published: February 2020

Abstract
The use of laptop computer in our daily activities due to rapid changes in technology and industries has a great role in the fourth industrial revolution and directly or indirectly affect the way we learn, live and work. The research study intends to investigate the role of ergonomics and the impact of the use of laptop computer on biomechanics, visual and carrying discomfort among technology education professionals in Nigeria. The study used questionnaires, in order to collect data and empirical data were used for the descriptive analysis. The objectives are to examine how the use of laptop computer affect the biomechanics, visualization and carrying discomfort of the technology educators. The research so far discovered how laptop computer users faced problems like back pains, muscular pains, visual and carrying discomfort and lack of ergonomic knowledge and awareness among technical and vocational education professionals.
Prediction of XYZ coordinates from an image using mono camera
Authors: Muslikhin  , Irmawati D , Arifin F , Nasuha A , Hasanah N , Indrihapsari Y 
Published: February 2020

Abstract
Estimating the position of a homogeneous object from an image for XY position is quite simple because it has the same dimensions XY. However, determining the XYZ position requires a unique approach. Generally, for estimating 3D position, stereo camera or expensive cameras are used with complicated computer vision algorithms. In this paper, we classify the position of an object using a mono camera. The image is divided into 3185 classes and five layers as a machine learning algorithm references. The k-nearest neighbors (kNN) approach usually is to find the closest point of the centroids to the closest class. Thus, this approach can be used as a three-axis prediction method that can afford the best performance solution.
Personality test social application system construction - the influence of community platform on personality trait extroversion, real and virtual interpersonal relationship
Authors: Yang S-C , Hsu C-W 
Published: February 2020

Abstract
The rapid change of the times. A smartphone is a part of socialization. Social is a product of the collective society. Different from the social model of the past. The popularity of social software in recent years has also brought about tremendous changes. A social application such as Facebook, Twitter, Whatsapp, etc. All bring a new definition of social style to human society. Since different social software has the same mode of making friends, the face of friends is in appearance or interest. Do we think that dating mode can make changes? There are differences in ’people’. Differences create different individuality, personalities, and traits. Therefore, we use personality traits as the theme to design a mobile-oriented mobile application that allows users to complete the personality test. The topic, whether or not it does not meet its personality traits, has a standard existence. We use the user personality test to test the user’s nine personality scale and can chat and interact with other users through personality matching. Different from general social software, this paper will explore the application value of social software user personality traits, and will have the opportunity to change the interaction mode of today’s social software with different dating experiences, so that the social experience generated by users can be further improved.
Badminton player scouting analysis using Frequent Pattern growth (FP-growth) algorithm
Authors: Ardiantoro L , Sunarmi N 
Published: February 2020

Abstract
FP Growth algorithm is widely used to analyze patterns from a huge amount of data with (frequent) repeated items. The objective of this research is to analyze playing pattern a badminton player, one of a popular sport in Indonesia. The data set was generated from a technical stroke during the game. The model used in this study was Jonathan Christie a top Indonesian badminton player. The method of data collection was done by dividing the playing field into various areas of the game. Observations were made by using the software, to calculate and classify the types of stroke that carried out by the athlete. The result of this research; the tactical approach of Jonathan Christie during this match was described. The data obtained would be very useful for the coach to improve the athlete’s performance. Another advantage obtained was the analysis of the athlete’s performance can be done with a quantitative approach so that it can enrich the current methods. As the conclusion, the FP Growth algorithms were able to describe the game pattern of a badminton athlete, JC by using PHP and MySQL. Sport science has become a necessity to develop to increase athletes’ competitiveness.
Exponential Random Graph Models (ERGMs) to analyze the online shop networking in Instagram
Authors: Bekti R D , Pratiwi N , Niami Y , Sutanta E , Nurnawati E K 
Published: February 2020

Abstract
Social media is one of the important media for entrepreneurs in marketing their products, one of the popular is Instagram. Account activity on Instagram greatly influences marketing and sales levels, such as network, number of follower, following or posting. This study applies the Exponential Random Graph Models (ERGMs) to analyze how the network structure, follower, following, and total posts were affect to the online shop network accounts on Instagram. The data analyzed were 28 samples Instagram accounts which domiciled in DIY and Central Java Province. The predictor variables are non-directed network structure (edges, 2-star) and individual activeness (number of followers, number of following, and total post). The network structure graph constructed a directed network with 41 nodes and 104 edges. Based on ERGMs and significance test with α=5%, the network structure and characteristic of account have a significant influence on the networks between the online shop. The parameter estimation results can be interpreted as follows, an online shop does not take the initiative to make friends or network with another account, because focused on making network with the consumers. If there are more followers, then there is a high probability to get a connection between accounts. This result can be used as a marketing strategy through social media.
Classification methods performance on human activity recognition
Authors: Bustoni I A , Hidayatulloh I , Ningtyas A M , Purwaningsih A , Azhari S N 
Published: February 2020

Abstract
There are around 650 million people from all over the world who lived with disabilities. One of the fundamental rights of people with disabilities is the existence of a companion to supervise his activity. Meanwhile, the use of mobile phones for monitoring the activities of people with disabilities has been widely carried out. The human activity monitoring mobile application requires human activity recognition methods that provide high accuracy, precision, and recall to reduce the error rate of the activity estimation. Some researches use machine learning algorithms like K-Nearest Neighbour (k-NN) algorithm, Artificial Neural Networks (ANN), Support Vector Machine (SVM), and Random Forest for human activity recognition methods. However, the results of these studies have not been compared apples to apples. Therefore, this study presents a performance comparison of SVM, KNN, and Random Forest machine learning methods. Based on our findings, the SVM method with Support Vector Classifier (SVC) and Radial Basis Function (RBF) kernels can achieve the highest precision and recall, 87% and 85% respectively. The fastest processing time is obtained using the SVM method with the Stochastic Gradient Descent. However, in general, the best performance is shown by Random Forest. The Random Forest method with a depth of 100 and 300 trees can reach an accuracy of 96% within 0.45 minutes.
The application of Crude Palm Oil (CPO) within lightweight concrete in passive air conditioning system
Authors: Laila L , Darma A Y 
Published: February 2020

Abstract
Air conditioner (AC) as an active conditioning system is commonly used to absorb heat inside the room or building. However, AC requires relatively large electrical energy. Passive air conditioning system could be seen as an alternative solution to alter the issues mentioned above. Phase Change Material-PCM is able to absorb heat as latent heat that change its form without increasing the temperature. In applications, PCM can be used as mixture on concrete in order to hold the thermal energy from the environment so the temperature inside building can be lower and stable. PCM can decrease thermal conductivity of concrete. Crude Palm Oil (CPO) that can be applied as PCM is added within concrete so that it can have insulating behaviour, decrease the cooling load and electricity energy consumption. In this study, CPO is injected into lightweight concrete with some variation volume to represent its insulating behaviour. Thermal conductivities of lightweight concrete when used CPO volume 0 ml (as control), 2.5 ml, 5 ml, and 7.5 ml are 0,12 W/mK, 0,06 W/mK, 0.07W/mK, and 0.08 W/mK. Thus, the lightweight concrete has better insulating behaviour. This research is expected to be a solution for decreasing cost of electricity energy consumption in buildings.