bluuebunny/crossref_metadata_2025 huggingface dataset:
Aerodynamic instability of an inflatable aeroshell in suborbital re-entry
Authors: Takahashi Yusuke , Ohashi Tatsushi , Oshima Nobuyuki , Nagata Yasunori , Yamada Kazuhiko
Published: July 2020

Aerodynamic instability in the attitude of an inflatable re-entry vehicle in the subsonic regime has been observed during suborbital re-entry. This causes significant problems for aerodynamic decelerators using an inflatable aeroshell; thus, mitigating this problem is necessary. In this study, we revealed the instability mechanism using a computational science approach. To reproduce the in-flight oscillation motion in an unsteady turbulent flow field, we adopted a large-eddy simulation approach with a forced-oscillation technique. Computations were performed for two representative cases at transonic and subsonic speeds that were in stable and unstable states, respectively. Pitching moment hysteresis at a cycle in the motion was confirmed for the subsonic case, whereas such hysteresis did not appear for the transonic case. Pressures on the front surface and in the wake of the vehicle were obtained by employing a probe technique in the computations. Pressure phase delays at the surface and in the wake were confirmed as the pitch angle of the vehicle increased (pitch up) and decreased (pitch down), respectively. In particular, we observed that the wake structure formed by a large recirculation behavior significantly affected the pressure phase delay at the rear of the vehicle. The dynamic instability at subsonic speed resulted from flows that could not promptly follow the vehicle motion. Finally, the damping coefficients were evaluated for the design and development of the inflatable vehicle.
Pulsed two-photon coherent control of channelrhodopsin-2 photocurrent in live brain cells
Authors: Lavigne Cyrille , Brumer Paul
Published: July 2020

Channelrhodopsin-2 (ChR2) is an ion channel activated by the absorption of light. A recent experiment demonstrated that the current emanating from neurons in live brain cells expressing ChR2 can be controlled using two-photon phase control. Here, we propose an experimentally testable coherent control mechanism for this phenomenon. Significantly, we describe how femtosecond, quantum coherent processes arising from weak-field ultrafast excitation are responsible for the reported control of the millisecond classical dynamics of the neuronal current.
Light–matter coupling and non-equilibrium dynamics of exchange-split trions in monolayer WS2
Authors: Zipfel Jonas , Wagner Koloman , Ziegler Jonas D. , Taniguchi Takashi , Watanabe Kenji , Semina Marina A. , Chernikov Alexey
Published: July 2020

Monolayers of transition metal dichalcogenides present an intriguing platform to investigate the interplay of excitonic complexes in two-dimensional semiconductors. Here, we use optical spectroscopy to study the light–matter coupling and non-equilibrium relaxation dynamics of three-particle exciton states, commonly known as trions. We identify the consequences of the exchange interaction for the trion fine structure in tungsten-based monolayer materials from variational calculations and experimentally determine the resulting characteristic differences in their oscillator strength. It allows us to quantitatively extract trion populations from time-resolved photoluminescence measurements and monitor their dynamics after off-resonant optical injection. At liquid helium temperature, we observe a pronounced non-equilibrium distribution of the trions during their lifetime with comparatively slow equilibration that occurs on time-scales up to several hundreds of ps. In addition, we find an intriguing regime of population inversion at lowest excitation densities, which builds up and is maintained for tens of picoseconds. At a higher lattice temperature, the equilibrium is established more rapidly and the inversion disappears, highlighting the role of thermal activation for efficient scattering between exchange-split trions.
Cdc42 GTPase regulates ESCRTs in nuclear envelope sealing and ER remodeling
Authors: Lu Michelle Seiko , Drubin David G.
Published: July 2020

Small GTPases of the Rho family are binary molecular switches that regulate a variety of processes including cell migration and oriented cell divisions. Known Cdc42 effectors include proteins involved in cytoskeletal remodeling and kinase-dependent transcription induction, but none are involved in the maintenance of nuclear envelope integrity or ER morphology. Maintenance of nuclear envelope integrity requires the EndoSomal Complexes Required for Transport (ESCRT) proteins, but how they are regulated in this process remains unknown. Here, we show by live-cell imaging a novel Cdc42 localization with ESCRT proteins at sites of nuclear envelope and ER fission and, by genetic analysis of cdc42 mutant yeast, uncover a unique Cdc42 function in regulation of ESCRT proteins at the nuclear envelope and sites of ER tubule fission. Our findings implicate Cdc42 in nuclear envelope sealing and ER remodeling, where it regulates ESCRT disassembly to maintain nuclear envelope integrity and proper ER architecture.
Mutual antagonism between Hippo signaling and cyclin E drives intracellular pattern formation
Authors: Jiang Yu-Yang , Maier Wolfgang , Chukka Uzoamaka N. , Choromanski Michael , Lee Chinkyu , Joachimiak Ewa , Wloga Dorota , Yeung Wayland , Kannan Natarajan , Frankel Joseph , Gaertig Jacek
Published: July 2020

Not much is known about how organelles organize into patterns. In ciliates, the cortical pattern is propagated during “tandem duplication,” a cell division that remodels the parental cell into two daughter cells. A key step is the formation of the division boundary along the cell’s equator. In Tetrahymena thermophila, the cdaA alleles prevent the formation of the division boundary. We find that the CDAA gene encodes a cyclin E that accumulates in the posterior cell half, concurrently with accumulation of CdaI, a Hippo/Mst kinase, in the anterior cell half. The division boundary forms between the margins of expression of CdaI and CdaA, which exclude each other from their own cortical domains. The activities of CdaA and CdaI must be balanced to initiate the division boundary and to position it along the cell’s equator. CdaA and CdaI cooperate to position organelles near the new cell ends. Our data point to an intracellular positioning mechanism involving antagonistic Hippo signaling and cyclin E.
SIRT1–NOX4 signaling axis regulates cancer cachexia
Authors: Dasgupta Aneesha , Shukla Surendra K. , Vernucci Enza , King Ryan J. , Abrego Jaime , Mulder Scott E. , Mullen Nicholas J. , Graves Gavin , Buettner Kyla , Thakur Ravi , Murthy Divya , Attri Kuldeep S. , Wang Dezhen , Chaika Nina V. , Pacheco Camila G. , Rai Ibha , Engle Dannielle D. , Grandgenett Paul M. , Punsoni Michael , Reames Bradley N. , Teoh-Fitzgerald Melissa , Oberley-Deegan Rebecca , Yu Fang , Klute Kelsey A. , Hollingsworth Michael A. , Zimmerman Matthew C. , Mehla Kamiya , Sadoshima Junichi , Tuveson David A. , Singh Pankaj K.
Published: July 2020

Approximately one third of cancer patients die due to complexities related to cachexia. However, the mechanisms of cachexia and the potential therapeutic interventions remain poorly studied. We observed a significant positive correlation between SIRT1 expression and muscle fiber cross-sectional area in pancreatic cancer patients. Rescuing Sirt1 expression by exogenous expression or pharmacological agents reverted cancer cell–induced myotube wasting in culture conditions and mouse models. RNA-seq and follow-up analyses showed cancer cell–mediated SIRT1 loss induced NF-κB signaling in cachectic muscles that enhanced the expression of FOXO transcription factors and NADPH oxidase 4 (Nox4), a key regulator of reactive oxygen species production. Additionally, we observed a negative correlation between NOX4 expression and skeletal muscle fiber cross-sectional area in pancreatic cancer patients. Knocking out Nox4 in skeletal muscles or pharmacological blockade of Nox4 activity abrogated tumor-induced cachexia in mice. Thus, we conclude that targeting the Sirt1–Nox4 axis in muscles is an effective therapeutic intervention for mitigating pancreatic cancer–induced cachexia.
Distinct functions of tissue-resident and circulating memory Th2 cells in allergic airway disease
Authors: Rahimi Rod A. , Nepal Keshav , Cetinbas Murat , Sadreyev Ruslan I. , Luster Andrew D.
Published: July 2020

Memory CD4+ T helper type 2 (Th2) cells drive allergic asthma, yet the mechanisms whereby tissue-resident memory Th2 (Th2 Trm) cells and circulating memory Th2 cells collaborate in vivo remain unclear. Using a house dust mite (HDM) model of allergic asthma and parabiosis, we demonstrate that Th2 Trm cells and circulating memory Th2 cells perform nonredundant functions. Upon HDM rechallenge, circulating memory Th2 cells trafficked into the lung parenchyma and ignited perivascular inflammation to promote eosinophil and CD4+ T cell recruitment. In contrast, Th2 Trm cells proliferated near airways and induced mucus metaplasia, airway hyperresponsiveness, and airway eosinophil activation. Transcriptional analysis revealed that Th2 Trm cells and circulating memory Th2 cells share a core Th2 gene signature but also exhibit distinct transcriptional profiles. Th2 Trm cells express a tissue-adaptation signature, including genes involved in regulating and interacting with extracellular matrix. Our findings demonstrate that Th2 Trm cells and circulating memory Th2 cells are functionally and transcriptionally distinct subsets with unique roles in promoting allergic airway disease.
T reg–specific insulin receptor deletion prevents diet-induced and age-associated metabolic syndrome
Authors: Wu Dan , Wong Chi Kin , Han Jonathan M. , Orban Paul C. , Huang Qing , Gillies Jana , Mojibian Majid , Gibson William T. , Levings Megan K.
Published: July 2020

Adipose tissue (AT) regulatory T cells (T regs) control inflammation and metabolism. Diet-induced obesity causes hyperinsulinemia and diminishes visceral AT (VAT) T reg number and function, but whether these two phenomena were mechanistically linked was unknown. Using a T reg–specific insulin receptor (Insr) deletion model, we found that diet-induced T reg dysfunction is driven by T reg–intrinsic insulin signaling. Compared with Foxp3cre mice, after 13 wk of high-fat diet, Foxp3creInsrfl/fl mice exhibited improved glucose tolerance and insulin sensitivity, effects associated with lower AT inflammation and increased numbers of ST2+ T regs in brown AT, but not VAT. Similarly, Foxp3creInsrfl/fl mice were protected from the metabolic effects of aging, but surprisingly had reduced VAT T regs and increased VAT inflammation compared with Foxp3cre mice. Thus, in both diet- and aging-associated hyperinsulinemia, excessive Insr signaling in T regs leads to undesirable metabolic outcomes. Ablation of Insr signaling in T regs represents a novel approach to mitigate the detrimental effects of hyperinsulinemia on immunoregulation of metabolic syndrome.
Synaptic restoration by cAMP/PKA drives activity-dependent neuroprotection to motoneurons in ALS
Authors: Bączyk Marcin , Alami Najwa Ouali , Delestrée Nicolas , Martinot Clémence , Tang Linyun , Commisso Barbara , Bayer David , Doisne Nicolas , Frankel Wayne , Manuel Marin , Roselli Francesco , Zytnicki Daniel
Published: July 2020

Excessive excitation is hypothesized to cause motoneuron (MN) degeneration in amyotrophic lateral sclerosis (ALS), but actual proof of hyperexcitation in vivo is missing, and trials based on this concept have failed. We demonstrate, by in vivo single-MN electrophysiology, that, contrary to expectations, excitatory responses evoked by sensory and brainstem inputs are reduced in MNs of presymptomatic mutSOD1 mice. This impairment correlates with disrupted postsynaptic clustering of Homer1b, Shank, and AMPAR subunits. Synaptic restoration can be achieved by activation of the cAMP/PKA pathway, by either intracellular injection of cAMP or DREADD-Gs stimulation. Furthermore, we reveal, through independent control of signaling and excitability allowed by multiplexed DREADD/PSAM chemogenetics, that PKA-induced restoration of synapses triggers an excitation-dependent decrease in misfolded SOD1 burden and autophagy overload. In turn, increased MN excitability contributes to restoring synaptic structures. Thus, the decrease of excitation to MN is an early but reversible event in ALS. Failure of the postsynaptic site, rather than hyperexcitation, drives disease pathobiochemistry.
PDGFA-associated protein 1 protects mature B lymphocytes from stress-induced cell death and promotes antibody gene diversification
Authors: Delgado-Benito Verónica , Berruezo-Llacuna Maria , Altwasser Robert , Winkler Wiebke , Sundaravinayagam Devakumar , Balasubramanian Sandhya , Caganova Marieta , Graf Robin , Rahjouei Ali , Henke Marie-Thérèse , Driesner Madlen , Keller Lisa , Prigione Alessandro , Janz Martin , Akalin Altuna , Di Virgilio Michela
Published: July 2020

The establishment of protective humoral immunity is dependent on the ability of mature B cells to undergo antibody gene diversification while adjusting to the physiological stressors induced by activation with the antigen. Mature B cells diversify their antibody genes by class switch recombination (CSR) and somatic hypermutation (SHM), which are both dependent on efficient induction of activation-induced cytidine deaminase (AID). Here, we identified PDGFA-associated protein 1 (Pdap1) as an essential regulator of cellular homeostasis in mature B cells. Pdap1 deficiency leads to sustained expression of the integrated stress response (ISR) effector activating transcription factor 4 (Atf4) and induction of the ISR transcriptional program, increased cell death, and defective AID expression. As a consequence, loss of Pdap1 reduces germinal center B cell formation and impairs CSR and SHM. Thus, Pdap1 protects mature B cells against chronic ISR activation and ensures efficient antibody diversification by promoting their survival and optimal function.
Single-cell analysis of germinal-center B cells informs on lymphoma cell of origin and outcome
Authors: Holmes Antony B. , Corinaldesi Clarissa , Shen Qiong , Kumar Rahul , Compagno Nicolo , Wang Zhong , Nitzan Mor , Grunstein Eli , Pasqualucci Laura , Dalla-Favera Riccardo , Basso Katia
Published: July 2020

In response to T cell–dependent antigens, mature B cells are stimulated to form germinal centers (GCs), the sites of B cell affinity maturation and the cell of origin (COO) of most B cell lymphomas. To explore the dynamics of GC B cell development beyond the known dark zone and light zone compartments, we performed single-cell (sc) transcriptomic analysis on human GC B cells and identified multiple functionally linked subpopulations, including the distinct precursors of memory B cells and plasma cells. The gene expression signatures associated with these GC subpopulations were effective in providing a sc-COO for ∼80% of diffuse large B cell lymphomas (DLBCLs) and identified novel prognostic subgroups of DLBCL.
Growth and characterization of homoepitaxial β-Ga2O3 layers
Authors: Brooks Tellekamp M , Heinselman Karen N , Harvey Steve , Khan Imran S , Zakutayev Andriy
Published: July 2020

β-Ga2O3 is a next-generation ultra wide bandgap semiconductor (E

g
= 4.8–4.9 eV) that can be homoepitaxially grown on commercial substrates, enabling next-generation power electronic devices among other important applications. Analyzing the quality of deposited homoepitaxial layers used in such devices is challenging, in part due to the large probing depth in traditional x-ray diffraction (XRD) and also due to the surface-sensitive nature of atomic force microscopy (AFM). Here, a combination of evanescent grazing-incidence skew asymmetric XRD and AFM are investigated as an approach to effectively characterize the quality of homoepitaxial β-Ga2O3 layers grown by molecular beam epitaxy at a variety of Ga/O flux ratios. Accounting for both structure and morphology, optimal films are achieved at a Ga/O ratio of ∼ 1.15, a conclusion that would not be possible to achieve by either XRD or AFM methods alone. Finally, fabricated Schottky barrier diodes with thicker homoepitaxial layers are characterized by J–V and C–V measurements, revealing an unintentional doping density of 4.3 × 1016 cm− 3–2 × 1017 cm−3 in the epilayer. These results demonstrate the importance of complementary measurement methods for improving the quality of the β-Ga2O3 homoepitaxial layers used in power electronic and other devices.
Antimicrobial Surfaces of Metal Halides Immobilized on Polymeric Materials
Authors: Carolina Caicedo , Flórez López Edwin , John Vergara , Jhon Guateque , Yenny Ávila-Torres
Published: July 2020

Chitosan is a biopolymer extracted from the shell of crustaceans. It is currently possible that this be modified to improve its bacterial properties. In this context, in the present work new materials were synthesized as electro-spun films, where the best conditions were establish that led to biocidal activity against to Staphylococcus aureus ATCC 6538. The addition of PVA to chitosan improves electrospun conditions since the chitosan alone cannot stabilize the voltage. The best interaction with water was resolved at 16 % PVA, increasing the hydrophobic capacity of the film. The ion metallic interacts with chitosan matrix through acetyl group, and the alcohol and ammine group do not participate in electronic interaction. Finally, this work shows that the metal ion increases the biocidal properties of chitosan as a thin film.
Synthesized Nanoparticles Based on Functionalized Metal Oxides with Chiral ligand
Authors: Jhonatan Corrales , Florez-López Edwin , Henry Riascos , Lorena Calambás , Yuberth García , Anderson Nasamuez , Yenny Ávila-Torres
Published: July 2020

The research reports the synthesis of α- MnO2 and CuO nanoparticles obtained from laser ablation method. Based on the properties as semiconductors, the oxides as bactericity systems for Escherichia coli ATCC 11229 and Staphylococcus aureus ATCC 6538 have been tested. The influence on plasmon was evaluated, in relationship to the energy, time and wavelength of the laser used. The dispersion of nanoparticles for manganese oxide were in function of the energy, and its frequency oscillation is greater than copper oxide, due to the effects of charge transfer. The effect of a chiral organic compound was estimated in situ, generating stability and reproducible biocidal properties. Finally, it is important to mention that the biological activity was mediated by the semiconductor capacity. Control experiments will be necessary for to continue for the understanding of the mechanism.
Electrochemical monitoring of the oxidative degradation of glyphosate with UV/H2O2
Authors: Castro-Narváez Sandra , Vielma-Balanta Libia , Quiñonez Jairo-Nelson , Jaramillo-Aguirre Alonso
Published: July 2020

A voltammetric method optimized for the sensitive and reliable study of the UV/H2O2oxidation of glyphosate (N- (phosphonomethyl) glycine) (GPS). The cell consisted of three electrodes in a compartment, silver wire coated with silver chloride as a pseudo reference electrode, platinum electrode as working electrode and stainless steel as auxiliary electrode. GPS cyclic voltammetric analysis suggests the formation of a GPS-Pt complex on the electrode surface, with an enhanced signal in perchloric acid between 1.3 to -1.3V; sensitive to protonation of the amino group, no response observed at pH values greater than 5.00. The oxidative degradation of GPS with UV/H2O2is evident at pH 3.0, it exhibits first order pseudo kinetics with a half-life of 40 ± 4min. Two degradative routes are estimated depending on the concentration of H2O2: at low concentrations (H2O2/GPS 1: 100 ratio), the formation of sarcosine and then glycine is favored; at H2O2/GPS 1:20 and 1:10 ratios predominate the formation of glycine.
Decision Support System for Determining Floating Dock Locations in Maluku Islands Using AHP-TOPSIS
Authors: Tukan M , Camerling B J , Afifudin M T , Hozairi
Published: July 2020

The number of shipyards that can carry out maintenance and repair work in the province of Maluku is very small, causing many docking queues, causing many companies to choose to dock outside the Maluku province, even though Maluku has a large and good area to build a shipyard. To increase the number and capacity of ship docking sites, the floating docking system was chosen to be developed because it is cheaper and very flexible to be moved because Maluku has two different wind seasons that affect the ship docking process. This study aims to determine the right location for the development of floating docking development in Maluku Province. This study uses a combination of two methods namely AHP-TOPSIS. AHP is used to determine the level of importance between criteria, criteria consisting of aspects of meteorology, geography and oceanography, environmental and population aspects, and aspects of facilities and infrastructure. The results of priority analysis through the weighting of criteria from several experts with the AHP approach to the selection of the best alternative regions using the TOPSIS method. The AHP-TOPSIS calculation results give the first priority value in the Dobo region with a total of 41%, the second in the Saumlaki region with a total of 27%, the third in the Tual region with a total of 24%, and the fourth is the Tiakor region around 8%.
Deep Contextual of Document Using Deep LSTM Meet Matrix Factorization to Handle Sparse Data: Proposed Model
Authors: Hanafi  , Suryana N , Basari ASH
Published: July 2020

Recommender system is important tool in big data era. It has responsible to make suggestion about product or service automatically for web application or mobile. In everyday utility, we cannot escape for information about food, travelling, social network, ticketing, news and etc. What the best choice for customer necessary is recommender system task to provide relevant information. Collaborative filtering is most useful recommender system technique in which considering user behaviour in the past to calculate recommendation. The first generation of collaborative filtering exploit statistical approach to calculate product recommendation. However, traditional collaborative filtering facing serious problem in scalability, accuracy and shortcoming in large data. Model based in the second generation of collaborative filtering to produce product recommendation where this model rely on matrix factorization to produce recommendation. Model based proven better performance over memory based. However, model-based performance degrades significantly when met with sparse data due the number of rating are very small. This problem popular called sparse data problem. Several methods proposed by researchers to handle sparse data problem. Mostly of them exploit text document to increase recommendation performance. However, majority of model fail to gain text document understanding. This study proceeds ongoing process with several stage. First, develop model to interpreted text document using LSTM aims to capture contextual understanding of document. Second, integrated LSTM with matrix factorization. This step aims to produce rating prediction considering text document of the product. The first step completely finished. According to experiment report, this model success to capture contextual of the document then transform into 2D space text document representation. For the further research, we are going to integrated with matrix factorization and evaluation result of rating prediction using RMSE metric evaluation.
Deep learning-based object detection and geographic coordinate estimation system for GeoTiff imagery
Authors: Pratama B M , Gunawan D , Gultom R A G
Published: July 2020

A deep learning-based system has been created to autonomously analyze GeoTiff aerial imagery in order to retrieve information about objects type and their geographic coordinates. This research focuses on applying a Convolutional Neural Network (CNN) to detect objects and estimate the geographic coordinate of airplanes, ships and cars in those images. The system prototype was tested to measure the accuracy and precision for object detection. Furthermore, a Mean Absolute Error (MAE) analysis is done to the system to measure object coordinate estimation performance. The accuracy and precision for object detection of the system prototype are 81,05% and 93,29%, respectively. The system has MAE values which vary from 0,000012° to 0,000034° for object coordinate estimation.
Generate Contextual Insight of Product Review Using Deep LSTM and Word Embedding
Authors: Hanafi  , Suryana N , Basari ASH
Published: July 2020

Nowadays, in every day live, majority people face in many internet options. For example, what meal to eat, what news to read, what vehicle to ride, what the best path to travelling, what the best group in social network to joint, what the best video to watch, what the best video in YouTube to watch and etc. The best way to recommend the internet content to customer is by using recommender system. Recommender system calculate product recommendation by detecting user behaviour in the past. The user behaviour in the past was being variable to compute similarity between many customers. One of the majority user behaviour is in the term of document. Most of document interpret model in recommender system use traditional NLP model such as TF-IDF, LDA model. According to NLP point of view, traditional NLP face the weakness in contextual understanding. Aims to handle the problem on above, we proposed novel model to generate contextual understanding by involve two important aspect considered subtle word and word sequence. We implemented word embedding based on GLOVE and detecting word sequential using RNN-LSTM. According to qualitative evaluation report, our model successful to capture contextual insight of the document of movie review by IMDB. This model suitable to integrated with latent factor based on matrix factorization to generate product recommendation in Collaborative filtering model.
Information System of Agricultural Commodities Mapping Based on Machine Learning
Authors: Nur D , Riyanti C , Olivya M
Published: July 2020

Climate change that occurs from year to year affects the agricultural sector. People who work in agriculture need to know the compatibility of plants with climate conditions in the region. Back Propagation Neural Network (BPNN) is a multilayer Artificial Neural Network (ANN) that is used to train neural networks with input in the form of precipitation, relative humidity, and temperature data. The training produced a model that was able to classify climate data based on plant growth requirements. The model for Soybean got the highest average accuracy of 96.53% and 90.87% for Rice. Variables that influence training include the number of neurons in the hidden layer, the value of learning rate, the number of folds, and the number of epochs. Prediction results generated from the model are used as a reference to display markers on maps that can be accessed by users.
Predicting Rainfall Intensity using Naïve Bayes and Information Gain Methods (Case Study: Sleman Regency)
Authors: Sena I G W , Dillak J W , Leunupun P , Santoso A J
Published: July 2020

Climate change, which has an impact on environmental problems in tropical countries, is still a severe problem, and efforts to prevent and manage it are continuously pursued. Indonesia, as a tropical country with topographical conditions and strategic geographical position, causes Indonesia to have different weather and climate patterns. Climatologically there are significant differences between the rainy season and the dry season. Both these seasons can bring blessings but also disasters if not appropriately handled, flooding in the rainy season and drought in the dry season. High rainfall can cause floods and landslides, whereas if using excess water in the rainy season can be a solution for water shortages in the dry season. The purpose of this study is to predict the rainfall intensity with the Naïve Bayes method and what parameters are considered the most dominant causes of heavy rainfall using the information gain method. The source of the data in this study came from BMKG data, which was during the rainy season between October to March from 2016 - 2019 in the Sleman Regency. The results of this study showed that the Naïve Bayes method could be used to predict rainfall intensity in Sleman Regency. Also, the most influential parameter on rainfall intensity is the average temperature with an information gain value of 0.047811028.
Detecting Ictal and Interictal Condition of EEG Signal using Higuchi Fractal Dimension and Support Vector Machine
Authors: Wijayanto I , Hadiyoso S , Aulia S , Atmojo B S
Published: July 2020

Ictal and interictal periods are the most important condition which needed to find for detecting and predicting seizure condition in epileptic patients. Neurologist spends hours to analyze electroencephalogram (EEG) signals in order to find a certain pattern for diagnosing epilepsy. This manual interpretation has a high chance of error and very time consuming. In order to minimize mistakes, various studies have proposed a computer-based detection system to support the detection of ictal and interictal conditions. In this study, we extract the EEG signal pattern by using the Higuchi fractal dimension to classify the ictal and interictal conditions of EEG signals. The features are extracted from five EEG sub-bands, delta, theta, alpha, beta, and gamma band. Those features are then fed to support vector machine as the classifier using 10-cross folds validation. The experiment shows that the use of HFD and the quadratic kernel is suitable for ictal detection. While the use of cubic kernel and HFD is suitable for detecting interictal conditions.
Finite State Machines for Building Believable Non-Playable Character in the Game of Khalid ibn Al-Walid
Authors: Fathoni K , Hakkun R Y , Nurhadi H A T
Published: July 2020

The character recognition game Khalid ibn al-Walid is an interactive Drama game application with the perspective of First Person Shooter introducing a hero in Islam named Khalid ibn al-Walid. To make the game interesting, the Non-Playable Character must be given artificial intelligence so that it can behave intelligently and make the game atmosphere more lively. One of the simple artificial intelligence that is applied in NPC games is Finite State Machine (FSM). In this game, FSM is applied to the enemy behavior of the character Khalid ibn al-Walid. The trial results show that NPC can behave independently and smartly in Search Player, Move To Player, Wait to Attack and Attack.
A Fuzzy Logic-based Control System for Microwave Ovens
Authors: Lynn N Deborah , Sourav A I , Santoso A J
Published: July 2020

Conventional microwave ovens rely on users for their cooking time. In other words, the user must set the oven’s cooking time manually. This paper aims to design a fuzzy logic-based controller to resolve the above-mentioned issue by determining the cooking time of the microwave oven automatically. The time determined depends on the quantity and type of food. During the fuzzy logic process, we used the Mamdani fuzzy model. This model involves determining the crisp input, fuzzification, rule evaluation, and defuzzification, to obtain the crisp output result. Input real variables used were the type of food and quantity of food, whereas the output variable used was cooking time. A fuzzy logic toolbox on MATLAB software was used to design and simulate the whole system. Considering the IF-THEN rules and functions, we used the value of food as 50, and the type of food as 50 and we obtained the cooking time as 25 minutes. The result showed that Fuzzy models are good at determining cooking time in Microwave ovens and that their cooking time depends on the inputs. Using fuzzy logic in microwave ovens helps to maintain food quality, saves users’ time, and controls the energy used by the oven.
Automatic Guided Vehicle that detects Dactylopius Opuntiae in Cactus Pears
Authors: Luwes N J , Ogochukwu J C , Rskotsoane B P
Published: July 2020

Food security is one of the biggest challenges faced in Africa with drought being one of the leading factors. Cactus pear is a drought-resistant source of food for both animals and humans. They have become indigenous in South Africa and has maintained a role in the diet of the local population and animal feed. This food source needs to be monitored for Dactylopius Opuntiae. Dactylopuis is an insect that infests the Cactus Pear (Opuntia) and makes a cottony, waxy mass as shelter for the female and their eggs. Industry 4.0 led to the introduction of a subcategory namely Farming 4.0 also known as smart farming. This paper evaluates such a smart farming automatic guided vehicle (AGV) system that could navigate itself from plant to plant using Xbox Kinect and detect Dactylopius Opuntiae. Results show and discuss the navigation-speed and an example of the Dactylopius Opuntiae detection. The passive response could include an internet of things (IoT) approach that could send the GPS data of the infested plant to the farmer or an active approach could be an onsite hands-on application.
Distributed Classifier for SDGs Topics in Online News using RabbitMQ Message Broker
Authors: Nugroho A , Widyawan  , Kusumawardani S S
Published: July 2020

Internet data has grown very fast and becomes very large. Thus continuous improvement will always be required to face this challenge. The Sustainable Development Goals (SDGs) are defined by the United Nations (UN) to encourage improvements in the field of life in each country. We proposed a combination of Distributed System (RabbitMQ) and Machine Learning (Naïve Bayes Classifier) as one of the support to measure the achievement level of Sustainable Development Goals (SDGs) in Indonesia. The methods will categorize the Detik.com news into two classes; the relevant to SDGs of Indonesia and the irrelevant to SDGs of Indonesia. Our work shows that the use of the load-balance feature in RabbitMQ could shorten the processing time of the Naïve Bayes Classifier. RabbitMQ as a load-balancer can divide the workload equally, thus reducing the latency time of the Naïve Bayes Classifier classification process by 30.3 percent.
Navigation system for an automatic guided vehicle
Authors: Ngandu E M , Luwes N , Kusakana K
Published: July 2020

An automated guided vehicle (AGV) is a robot that could use wires or indicators on the floor to navigate itself in an environment. These AGV’s use different types of guidance system depending on the application for which they are intended. Literature indicates that continues development have been done to improve those systems. In this project, the author is developing a cost effective and reliable multi-path following guidance system. It makes use of the NI Robotic Starter kit that is fitted with 4 digital infrared sensors to follow multiple paths made of a black tape on a white surface. The author programmed the AGV using a state machine where the middle 2 sensors are used to follow the line and the outer 2 sensors are used to control which path to follow. The results obtain proved the effectiveness of the developed guidance system as the AGV is effectively able to follow multiple paths while reducing the number of sensors needed to accomplish it.
Comparison and Analysis of Stator Plate Holder on Yokeless and Segmented Armature Machine
Authors: Desanti A F , Asfani D A , Yuniarto M N , Nugraha Y U
Published: July 2020

This paper deals with comparison and analysis of stator plate holder on Yokeless and segmented armature (YASA) machine. YASA topology consists of two rotors and one inner stator comprised of many independent segments. Core for stator uses Soft Magnetic Composite (SMC) to conduct the three-dimensional magnetic flux. All stator segments and concentrated winding are fixed with the aid of two annular plates. There are cavities on both plates which have the same shape as the shoe of the stator segment. Moreover, the deformation of the plates must be kept as low as possible and have very high yield strength because of stress from the bearing. A complex structure, high durability, and high electrical resistance are the challenges. Polyetheretherketone (PEEK) is usually used as the plates, however high price and manufacturing cost remain an issue. Some other materials have a possibility and approach to PEEK capability. In this paper, candidate materials will be developed as a specimen and tested on the BH - Curve meter. The BH-Curve data provide simulation on Finite Element Magnetic Method (FEMM). The advantages and disadvantages are discussed in this paper. The analysis result demonstrates that other materials possess a similar capability as PEEK related to YASA stator plate holder.
Evaluation on EMG Electrode Reduction in Recognizing the Pattern of Hand Gesture by Using SVM Method
Authors: Winarno H A , Poernama A I , Soesanti I , Nugroho H A
Published: July 2020

Understanding the pattern of hand gesture on research which designs a prosthetic hand has been popular subject in recent years. The hand gesture recognition relies heavily on the sensors, with electromyograph (EMG) sensor electrode being used the most. Previous researches have been using various recognition methods with different number of electrode. But, many of them used 12 to 4 electrodes. In this paper, we experimented the use of 3 to 2 electrodes to recognize hand gesture in open (HO), close (HC) wrist flexion (WF), and wrist extension (WE) condition. It used SVM method to recognize the extracted features from electrode signal. In this research, two scenarios between the use of 3 electrodes and then with the reduction to 2 electrodes are compared. SVM classification showed 96.35% as the best accuracy on experiment that used 3 electrodes and 97.16 % when it used 2 electrodes. Mean, standard deviation, and root mean square were being the best statistical features in recognizing HO, HC, WE and WF hand gesture.
Performance Analysis of Algorithms on Different Types of Health Related Datasets
Authors: Khanom N N , Nihar F , Hassan S S , Islam L
Published: July 2020

Healthcare related data are very important for people of the global community to make them aware of their lives and rights. By analyzing performances of different types of health-related data produce efficient valuable rich information; which can be used in further healthcare research. From the previous works we have seen, they have also tried to analyze the performances of algorithms to modify the accuracy but this study is unique as it has used lots of different types of health-related datasets and algorithms together to achieve better accuracy. This study aims to analyze performances of algorithms on different types of healthcare related data to produce effective information in order to assist global community in their daily life. This will help people to lead a healthy and comfortable life and innovate new ideas to further change their lifestyle. The effective information or the standard used here is the accuracy of the applied algorithms.
POET Structured energy management and efficiency improvement of a grid-integrated electric vehicle energy Charging Stations
Authors: Bokopane L , Kusakana K , Vermaak H
Published: July 2020

Sustainable energy supply plays a pivotal role in the successful deployment of electric vehicle charging station (EVCS). The EVCS’s daily operation is governed by the availability of resources to meet the energy requirements without any load rejection. Developing countries have now turned to renewable energy powered vehicles to reduce their dependency on fossil fuels. They have been successful in their attempts to deploy EVCS in their respective countries whilst constantly working on the improvement of this infrastructure. However, the same cannot be uttered in South Africa. The county has limited power-generating capacity, which limits it capability of fully sustaining the existing load. An additional burden on the already ailing grid could have dire consequences on the local grid. Load shedding is imposed on customers as a temporary solution in order to avoid imminent blackouts. Conversely the ever increasing fossil fuel prices threatens the livelihood of an ordinary citizen. As an increase in this resources leads to an increase in transportation cost and food prices. To combat this problems, an efficient, sustainable and cost effective electric vehicle charging station that will be beneficial to the grid as well as the environment is necessary. POET (performance, operation, equipment and technology) energy efficiency improvement and management framework is utilized as an effort to analyse and initiate a feasibility and sustainability of the system to be implemented, by holistically looking at the performance, operation, equipment as well as technology. The afore mention POET energy efficiency improvement and management will look into the two of the three processes, namely targeting and planning in fourth level: An engineering level as an attempt to improve the efficiency and economical nobility of the system. A review in to the impact of technological advancement, of the proposed grid-integrated hybrid peer to peer electric vehicle energy sharing at a Charging Station in South Africa will be conducted.
Phase evolution of a novel Al–Zn–Mg–Cu–Zr–Sm alloy during homogenization annealing treatment
Authors: Zhai Fenglong , Wang Liping , Gao Xin , Feng Yicheng , Zhao Sicong , Wang Lei
Published: July 2020

The effects of pretreatment and homogenization on the microstructure of a new Al-6.7Zn-2.6Mg-2.0Cu-0.1Zr-0.3Sm alloy were investigated. The results show that severe dendritic segregation is visible at the grain boundaries of the as-cast microstructure, which consists of the η (Mg (Zn, Cu, Al)2), Al10Cu7Sm2 and Fe-rich phases. Besides, some small η and needle-shaped θ (Al2Cu) phases are distributed inside of the grains. After pretreatment at 400 °C for 10 h, the η phase and θ phase in the grains are dissolved, and Al3Zr particles are precipitated inside of the grains by homogeneous nucleation. However, dendritic segregation still exists at the grain boundaries. After homogenization annealing, the η phase present at the grain boundaries completely dissolves, and only a small number of Al10Cu7Sm2 and Fe-rich phases remain. The alloy microstructure becomes more uniform and the volume fraction of residual eutectic decreases to 0.70% after homogenization annealing. The optimal homogenization processing is determined as 400 °C/10 h + 470 °C/24 h, which is in perfect accordance with the results obtained via homogenizing kinetic analysis.
Divine hiddenness orde jureobjections to theism: You cannot have both
Authors: Hendricks Perry
Published: July 2020

De facto objections to theism purport to show that theism is false, whereas de jure objections to theism claim that, whether or not theism is true, belief in God is irrational. Divine hiddenness – the (supposed) fact that there are people who non-resistantly lack belief in God – is sometimes used as an argument against theism. In this article I will show that accepting the argument from divine hiddenness carries a high cost: it eliminates all de jure objections to theism. So atheists can either have de jure objections to theism or the objection from divine hiddenness, but they cannot have both.
Hyperconnectivity in Dementia Is Early and Focal and Wanes with Progression
Authors: Bonanni Laura , Moretti Davide , Benussi Alberto , Ferri Laura , Russo Mirella , Carrarini Claudia , Barbone Filomena , Arnaldi Dario , Falasca Nicola Walter , Koch Giacomo , Cagnin Annachiara , Nobili Flavio , Babiloni Claudio , Borroni Barbara , Padovani Alessandro , Onofrj Marco , Franciotti Raffaella ,   the FTD Italian study group-SINDEM
Published: July 2020

We investigated in a longitudinal multicenter cohort study functional cortical connectivity changes along the course of frontotemporal dementia (FTD) and Alzheimer’s disease (AD) from the prodromal stage of the diseases.

Electroencephalography (EEG) was recorded in 18 FTD and 18 AD patients at the prodromal stage of dementia, at dementia onset, and 3 years after dementia onset. Twenty healthy controls (HC) underwent EEG recordings at the same time interval as the patients.

Mutual information (MI) analysis measured the strength of functional network connectivity.

FTD and AD patients showed greater MI at the prodromal stage of dementia (FTD vs. HC P = 2 × 10−8; AD vs. HC P = 4 × 10–3). Local connectivity was higher in left and right frontal areas of FTD (P = 7 × 10−5 and 0.03) and in left and right posterior areas in AD (P = 3 × 10−5 and 5 × 10−5) versus HC.

We showed cortical hyperconnectivity at the prodromal stage of dementia in areas involved in the specific pathological process of FTD (frontal regions) and AD (posterior regions). Hyperconnectivity disappeared during follow-up, thus suggesting that it is an early electrophysiological feature of dementia, potentially useful to identify prodromal FTD and AD.
Labour Protections for Overseas Chinese Workers: Legal Framework and Judicial Practice
Authors: Halegua Aaron , Ban Xiaohui
Published: July 2020

The launch of China’s Belt and Road Initiative has brought attention to the dispatch of Chinese workers overseas. These vulnerable migrants are often charged high fees in China only to suffer wage abuses and work injuries abroad, where obtaining relief is often impossible. But what laws or regulations within China protect these workers, and how effective are they? This study takes an initial step towards answering those unexplored questions by analysing over 100 Chinese court decisions. While, for much of the China’s history, overseas workers were primarily seconded abroad by Chinese employers, a clear preference has emerged for sending workers through intermediary agencies that can charge fees and execute ‘service’ contracts. Nonetheless, the courts generally provide some relief to aggrieved workers who are dispatched through formal channels. However, a large number of workers go abroad through informal brokers. When disputes arise in these cases, judicial practice becomes very inconsistent. Ironically, workers sometimes fare better because the courts adopt a ‘strict liability’ approach that punishes the unregistered broker, ordering them to pay all compensation or refund all fees. But some judges punish the worker who entrusted an unregistered broker or worked abroad on a tourist visa. And other courts simply treat the matter as a contract or tort dispute. While aggrieved overseas workers who litigate in court face mixed results, this article also discusses why many workers never make it to the courthouse door. The conclusion offers proposals to enhance protections for overseas workers and discusses why it is important that China do so.