bluuebunny/crossref_metadata_2025 huggingface dataset:
The L4n laser beamline of the P3-installation: Towards high-repetition rate high-energy density physics at ELI-Beamlines
Authors: Jourdain N. , Chaulagain U. , Havlík M. , Kramer D. , Kumar D. , Majerová I. , Tikhonchuk V. T. , Korn G. , Weber S.
Published: November 2020

The P3 installation of ELI-Beamlines is conceived as an experimental platform for multiple high-repetition-rate laser beams spanning time scales from femtosecond via picosecond to nanosecond. The upcoming L4n laser beamline will provide shaped nanosecond pulses of up to 1.9 kJ at a maximum repetition rate of 1 shot/min. This beamline will provide unique possibilities for high-pressure, high-energy-density physics, warm dense matter, and laser–plasma interaction experiments. Owing to the high repetition rate, it will become possible to obtain considerable improvements in data statistics, in particular, for equation-of-state data sets. The nanosecond beam will be coupled with short sub-picosecond pulses, providing high-resolution diagnostic tools by either irradiating a backlighter target or driving a betatron setup to generate energetic electrons and hard X-rays.
New functional Lennard-Jones parameters for heterogeneous molecules
Authors: Stevens K. , Thamwattana N. , Tran-Duc T.
Published: November 2020

Continuum modeling using the Lennard-Jones potential has been shown to provide a good estimation for the interaction energy between regular-shaped homogeneous molecules comprising the same type of atoms. However, this method may not be accurate for heterogeneous molecules, which are made up of more than one chemical element. The traditional method to deal with this involves approximating the molecule via multiple surfaces in a piecemeal fashion. While this approach works well for small sized molecules, calculations become intensive for large sized molecules as a large number of sums from multiple surface interactions are involved. To address this issue, we propose a new model that approximates a heterogeneous molecule with a single surface or volume, where attractive and repulsive constants (A and B) in the Lennard-Jones potential are replaced by functions A(r) and B(r), which depend on the parameterization of the surface r. We comment that this technique is suitable for regular-shaped nanostructures where their heterogeneity can be modeled by surface (or volume) parameterization. Validation of the new approach is carried out via two problems, namely, carbon nanotube–methane and carbon nanotube–coronene interactions. For coronene and methane, which are assumed to be radially symmetric, we propose A(r) and B(r) to be sigmoidal functions for which the interaction strength decreases from the inner region of the carbon atoms toward the outer region of the hydrogen atoms. Our results for both cases show that using the sigmoidal profiles for A(r) and B(r) gives rise to interaction energies that are in better agreement with those obtained from molecular dynamics studies compared to results using constant A and B. The new approach provides a significant improvement to the current continuum modeling using the Lennard-Jones potential.
Equation of state of atomic solid hydrogen by stochastic many-body wave function methods
Authors: Azadi Sam , Booth George H. , Kühne Thomas D.
Published: November 2020

We report a numerical study of the equation of state of crystalline body-centered-cubic (BCC) hydrogen, tackled with a variety of complementary many-body wave function methods. These include continuum stochastic techniques of fixed-node diffusion and variational quantum Monte Carlo and the Hilbert space stochastic method of full configuration-interaction quantum Monte Carlo. In addition, periodic coupled-cluster methods were also employed. Each of these methods is underpinned with different strengths and approximations, but their combination in order to perform reliable extrapolation to complete basis set and supercell size limits gives confidence in the final results. The methods were found to be in good agreement for equilibrium cell volumes for the system in the BCC phase.
Femtosecond laser rapid fabrication of Janus sweat-permeable fabric for personal cooling
Authors: Yang Shuai , Zhu Zhuo , Wu Zhipeng , Wu Junrui , Yin Kai
Published: November 2020

Current human body cooling technologies aggravate the energy crisis and cause environmental issues, and an efficient and energy-saving personal comfort cooling technology is critical. Many recent smart cooling textiles involve complex and time-consuming fabrication processes and fail to achieve both comfort drying and cooling functions. Herein, a hydrophobic/superhydrophilic Janus fabric was fabricated rapidly via one-step femtosecond laser direct writing technology, which allowed liquid transport exclusively from the hydrophobic side to the superhydrophilic side at a rapid transport speed. The Janus fabric quickly removed sweat from the skin upon contact with the hydrophobic surface and removed extra heat simultaneously to exhibit a cooling function (about 2 °C lower than traditional fabrics). The Janus fabric also kept the skin dry while removing sweat. This study provides a facile technology for the design and manufacture of comfort cooling fabrics and may play a key role in addressing health, resource, and energy-related issues.
Thermodynamics, EOS, and heat capacity in molecular modeling of self-assembled molecular layers
Authors: Ustinov Eugene
Published: November 2020

Self-assembled monolayers (SAMs) on solid surfaces represent a rapidly developed class of non-autonomous phases widely used in organic electronics, sensors, catalysis, and other applications. In many cases, the same organic molecules form various stable and metastable polymorphous structures that can transform to each other at certain parameters. A high rigidity of SAMs extremely complicates the evaluation of the chemical potential using standard methods based on thermodynamic integration. This study presents results of molecular modeling of two-dimensional structures of tripod-shaped molecules associated with the trimesic acid (TMA) molecules. A technique used here is based on a recently developed method of external fields imposed on an elongated simulation cell in the framework of a kinetic Monte Carlo algorithm. These fields are the external potential and a damping field that reduces the intermolecular potential and affects the system similar to the increase in temperature. Equations of state (EOS) for several TMA polymorphs have been obtained with the conventional Monte Carlo simulation. It was shown that, in each case, only one constant links the chemical potential obtained with the external field method and the EOS at any temperature and pressure. The heat capacities of SAMs at constant volume and pressure were also determined as functions of temperature and compressibility of the structure at given degrees of freedom. The approach can be used as a general tool for modeling and evaluation of thermodynamic properties of various rigid structures, including SAMs of functional organic molecules.
Tunable spin–orbit torque switching in antiferromagnetically coupled CoFeB/Ta/CoFeB
Authors: Zhang R. Q. , Shi G. Y. , Su J. , Shang Y. X. , Cai J. W. , Liao L. Y. , Pan F. , Song C.
Published: November 2020

We demonstrate a tunable spin–orbit torque (SOT) switching in an antiferromagnetically coupled CoFeB/Ta/CoFeB trilayer through careful design of magnetic anisotropies, where the thicker bottom CoFeB layer has a relatively weak perpendicular magnetic anisotropy (PMA) and PMA of the upper CoFeB layer is robust. The unique anisotropy feature causes a strong sensitivity to the assistant field during SOT switching, resulting in a slanted magnetic moment and a highly tunable switching window defined by the difference in Hall resistance between two SOT switching states at zero current. By further reducing the PMA of bottom CoFeB, only the upper layer can be switched by SOT. Until now, there are three types of SOT switching in antiferromagnetically coupled ferromagnetic metal/nonmagnetic metal/ferromagnetic metal trilayers: simultaneous switching between two antiparallel states with strong PMA for both ferromagnetic layers, field-free switching where one layer has in-plane magnetization and the other has canted out-of-plane magnetization, and tunable switching reported in this work. Our findings enrich the physical phenomena in trilayer SOT and may have potential application in multilevel storage and neural computing.
Reproductive performance of northern Australia beef herds. 1. Survey of nutritional, breeding and herd health management practices and of the environment
Authors: McCosker K. D. , Jephcott S. , Burns B. M. , Smith D. R. , Fordyce G. , O’Rourke P. K. , McGowan M. R.
Published: November 2020

Data concerning the practices and policies of collaborating properties for nutritional, breeding and health management of herds were captured by survey of herd owners/managers (n = 78) at the commencement of a large observational study conducted across northern Australia to identify and quantify the effect of major animal-, management group- and property-level risk factors on measures of reproductive performance. The cooperating herds in this study were considered to be broadly representative of north Australian beef breeding enterprises in terms of geography, size and ownership. Using four broad regional categories, this paper presents descriptive summaries of the management practices and nutritional conditions of cooperating herds in what was known as the Cash Cow project. Property sizes were largest within the Northern Downs and Northern Forest, and smallest within the Southern Forest. The expected average annual growth of yearling steers was >50 kg less in the Northern Forest, compared with the other country types, which also appeared to be associated with the identified production system and turnoff animal. Despite the exacerbated nutrition and environmental challenges and likely increased time required for new managers within the Northern Forest to attain an in depth understanding of the cattle and property dynamics, this region had the greatest incidence of management changes. The nutritional information summarised in this study highlights that available phosphorus during the wet season, as indicated by faecal levels in proportion to dietary energy, was likely to limit animal production within the Northern Downs and Northern Forest. During the dry season, pasture digestibilty and protein levels were likely to be approaching maintenance for cows on ~50% of properties in each country type and that responses to rumen degradable protein were also likely on 50% of properties. Despite this finding, low use of dry season supplements was observed for the Northern Downs, which was partially explained by the high incidence of the management systems based on segregating cows on lactation status and pregnancy. In all country types, the ratio of bulls to cows was higher than the 2.5% recommended for extensively managed situations, while limited use of vaccines to control infectious causes of reproductive loss was also observed. The major conclusion of this study is that there was marked variation in the adaption of interventions to specific businesses, indicating considerable opportunity exists for further adaptation in the region.
The benefits of carcass estimated breeding values for pasture-finished cattle are not as great as for long-fed cattle
Authors: Hebart M. L. , Lee S. J. , Pitchford W. S.
Published: November 2020

Context
BREEDPLAN reports estimated breeding values (EBVs) for many traits, but there are few EBVs specifically for the inputs into the Meat Standards Australia (MSA) index for producers, so as to make genetic progress. It is not known how selection on current BREEDPLAN EBVs influences the MSA index and whether these relationships are the same for different market end-points.

Aims
The aim of the present study was to examine the extent to which the MSA index of commercial animals is related to sire EBVs.

Methods
Data from 12 industry or research datasets (6997 animals) from four breeds (Angus, Charolais, Hereford and Limousin), three feeding regimes (pasture-, short- and long-fed) and 433 sires have been included for analysis. Carcass traits (intramuscular fat (IMF), MSA marbling, eye-muscle area, MSA index, rib, ossification and hot standard carcass weight) were regressed on BREEDPLAN sire EBVs (IMF EBV, eye-muscle area EBV, 600-day weight EBV, rib EBV). Sire ariance components were estimated for each of the 12 datasets, to determine whether the genetic variance in the MSA index and its indicator traits changed with carcass weight.

Key results
Sire variation in carcass traits changed with market end-point (or feeding regime) for all carcass traits except ossification, where there was no difference between long- and pasture-finished systems. One of the biggest differences between market end-points was observed in marbling where there was a 5.5-fold increase in the sire standard deviation for a long-feedlot finish system relative to pasture (1619 long vs 352 pasture finish). The sire EBV that had the greatest effect on the MSA index was IMF. A 1-unit increase in IMF EBV was associated with an improvement in the MSA index by only 0.34 units for long-fed cattle or 0.12 units for cattle finished on pasture. Furthermore, the regression coefficient between carcass traits and the sire EBV for the same trait was significantly lower for pasture-finished than for long-fed cattle.

Conclusions and implications
This means that commercial producers are unlikely to be receiving the full benefits of purchasing superior eating-quality sires unless they receive a premium from the finishing or wholesale meat sectors where the benefits are captured or they retain ownership through to heavier finish weights.
Local reliability weighting explains identification of partially masked objects in natural images
Authors: Sebastian Stephen , Seemiller Eric S. , Geisler Wilson S.
Published: November 2020

A fundamental natural visual task is the identification of specific target objects in the environments that surround us. It has long been known that some properties of the background have strong effects on target visibility. The most well-known properties are the luminance, contrast, and similarity of the background to the target. In previous studies, we found that these properties have highly lawful effects on detection in natural backgrounds. However, there is another important factor affecting detection in natural backgrounds that has received little or no attention in the masking literature, which has been concerned with detection in simpler backgrounds. Namely, in natural backgrounds the properties of the background often vary under the target, and hence some parts of the target are masked more than others. We began studying this factor, which we call the “partial masking factor,” by measuring detection thresholds in backgrounds of contrast-modulated white noise that was constructed so that the standard template-matching (TM) observer performs equally well whether or not the noise contrast modulates in the target region. If noise contrast is uniform in the target region, then this TM observer is the Bayesian optimal observer. However, when the noise contrast modulates then the Bayesian optimal observer weights the template at each pixel location by the estimated reliability at that location. We find that human performance for modulated noise backgrounds is predicted by this reliability-weighted TM (RTM) observer. More surprisingly, we find that human performance for natural backgrounds is also predicted by the RTM observer.
ATP13A2-mediated endo-lysosomal polyamine export counters mitochondrial oxidative stress
Authors: Vrijsen Stephanie , Besora-Casals Laura , van Veen Sarah , Zielich Jeffrey , Van den Haute Chris , Hamouda Norin Nabil , Fischer Christian , Ghesquière Bart , Tournev Ivailo , Agostinis Patrizia , Baekelandt Veerle , Eggermont Jan , Lambie Eric , Martin Shaun , Vangheluwe Peter
Published: November 2020

Significance

Mutations in
ATP13A2
cause a spectrum of related neurodegenerative disorders. ATP13A2 is a lysosomal exporter of polyamines that contributes to lysosomal health and controls cellular polyamine content. Conversely, loss of ATP13A2 leads to lysosomal dysfunction, a hallmark of neurodegeneration. Here, we show that polyamines transported by ATP13A2 provide cellular protection by lowering reactive oxygen species (ROS), which may relate to the antioxidant properties of polyamines. Consequently, dysfunctional ATP13A2 sensitizes cells to oxidative stress, which impairs mitochondria, and induces toxicity and cell death. ATP13A2-mediated polyamine transport represents a conserved pathway that protects against mitochondrial oxidative stress. The combined protective impact of ATP13A2 on lysosomal health and mitochondrial oxidative stress may explain why ATP13A2 exerts potent neuroprotective effects.
Discovery of Marburg virus neutralizing antibodies from virus-naïve human antibody repertoires using large-scale structural predictions
Authors: Bozhanova Nina G. , Sangha Amandeep K. , Sevy Alexander M. , Gilchuk Pavlo , Huang Kai , Nargi Rachel S. , Reidy Joseph X. , Trivette Andrew , Carnahan Robert H. , Bukreyev Alexander , Crowe James E. , Meiler Jens
Published: November 2020

Significance

Marburg virus (MARV) is a member of the Filoviridae family that causes severe hemorrhagic fevers with high fatality rates in humans. Despite the major efforts made to develop an effective vaccine after the most recent filovirus outbreak, still no Food and Drug Administration-licensed MARV disease vaccines exist. A good vaccine should be capable of eliciting neutralizing antibodies in MARV-naïve humans. This requires preexistence of antibodies with some affinity to the antigen. Here we used a large-scale computational antibody structure prediction approach to identify whether the epitope of the human anti-MARV monoclonal antibody MR78 can be recognized by antibodies from MARV-naïve humans and thus whether it is a promising candidate for vaccine design.
Robust folding of a de novo designed ideal protein even with most of the core mutated to valine
Authors: Koga Rie , Yamamoto Mami , Kosugi Takahiro , Kobayashi Naohiro , Sugiki Toshihiko , Fujiwara Toshimichi , Koga Nobuyasu
Published: November 2020

Significance

De novo designed proteins exhibit a remarkable property of extremely high thermal stability compared with naturally occurring proteins. The designed proteins are completely optimized for folding; the backbone structures are created by using a set of rules that relate local backbone structures to preferred tertiary motifs and the side chains are designed to favor both the local backbone structures and the entire tertiary structures. Here, we found that one of the de novo designed proteins, which was mutated to fill the core with mostly valine residues, still has the folding ability and shows high stability (Tm= 106 °C) even with its reduced and loosened core packing. This result supports the importance of local backbone structures to protein folding.
A steroid receptor coactivator stimulator (MCB-613) attenuates adverse remodeling after myocardial infarction
Authors: Mullany Lisa K. , Rohira Aarti D. , Leach John P. , Kim Jong H. , Monroe Tanner O. , Ortiz Andrea R. , Stork Brittany , Gaber M. Waleed , Sarkar Poonam , Sikora Andrew G. , Rosengart Todd K. , York Brian , Song Yongcheng , Dacso Clifford C. , Lonard David M. , Martin James F. , O’Malley Bert W.
Published: November 2020

Significance

We are at an exciting era of identification of the cell and molecular processes necessary for tissue remodeling and repair. Unlike current systemic therapeutics, our studies reveal pharmacologic stimulation of SRCs modulates macrophage and fibrotic reparative cell responses to promote more effective repair and lasting beneficial remodeling after myocardial infarction.
Circadian regulation of muscle growth independent of locomotor activity
Authors: Kelu Jeffrey J. , Pipalia Tapan G. , Hughes Simon M.
Published: November 2020

Significance

A long-standing question, particularly in physiotherapy and sports medicine, is whether time of day affects muscle metabolism and hence growth, either intrinsically or in response to exercise or nutrition. Answers would help to identify the best time of day to exercise, build muscle, and prevent aging- or disease-related sarcopenia. Here, we address this question in live zebrafish myotome in vivo, without interference from other circadian oscillations such as locomotor activity and food intake. We show that active muscle anabolizes more in the day and grows faster, while catabolizing more at night and growing slower. Such day/night differences remain in inactive muscle but disappear after clock disruption. We conclude that muscles display circadian differences in growth independent of activity and feeding.
Local conformal autoencoder for standardized data coordinates
Authors: Peterfreund Erez , Lindenbaum Ofir , Dietrich Felix , Bertalan Tom , Gavish Matan , Kevrekidis Ioannis G. , Coifman Ronald R.
Published: November 2020

Significance

A fundamental issue in empirical science is the ability to calibrate between different types of measurements/observations of the same phenomenon. This naturally suggests the selection of canonical variables, in the spirit of principal components, to enable matching/calibration among different observation modalities/instruments. We develop a method for extracting standardized, nonlinear, intrinsic coordinates from measured data, leading to a generalized isometric embedding of the observations. This is achieved through a local burst data acquisition strategy that allows us to capture the local z-scored structure. We implement this method using a local conformal autoencoder architecture and illustrate it computationally. The proposed embedding is fast, parallelizable, easy to implement using existing open-source neural network implementations and exhibits surprising interpolation and extrapolation capabilities.
Decreased mechanotransduction prevents nuclear collapse in a
Caenorhabditis elegans
laminopathy
Authors: Huelgas-Morales Gabriela , Sanders Mark , Mekonnen Gemechu , Tsukamoto Tatsuya , Greenstein David
Published: November 2020

Significance

Nuclear envelopathies are a complex group of human diseases caused by mutations in nuclear envelope proteins, including progeria, myopathy, and dystonia. Here, we used the
Caenorhabditis elegans
germline as a model system to investigate the function of the OOC-5/torsinA AAA+ ATPase, which localizes to the nuclear envelope and is mutated in early-onset DYT1 dystonia in humans. We show that OOC-5/torsinA promotes the function of the LINC complex, which spans the nuclear envelope and transmits forces to the nuclear lamina. Remarkably, decreasing the function of OOC-5/torsinA or the LINC complex prevents nuclear collapse in the absence of a functional nuclear lamina. Therapeutics targeting torsinA or the LINC complex might prevent nuclear damage from endogenous forces in certain nuclear envelopathies.
Bumblebees perceive the spatial layout of their environment in relation to their body size and form to minimize inflight collisions
Authors: Ravi Sridhar , Siesenop Tim , Bertrand Olivier , Li Liang , Doussot Charlotte , Warren William H. , Combes Stacey A. , Egelhaaf Martin
Published: November 2020

Significance

Like many other animals, including humans, insects frequently move through densely cluttered environments to perform activities critical for their survival, such as foraging. Vertebrates avoid collisions by perceiving their surroundings in relation to their body size and form, but it is unknown whether insects, with much smaller brains, possess such skills. We discovered that flying bumblebees judge the gap between obstacles relative to their wingspan and reorient themselves to fly sideways through tight spaces. Our findings suggest that bees too evaluate the affordance of their surroundings and account for their own size and form to safely navigate through complex environments. This facet of insect flight poses questions about the neural requisites for perception of self-size in animals.
Izhma Komi in Western Siberia
Authors: Kashkin Egor , Muravyev Nikita
Published: November 2020

This paper considers contact-induced change in Izhma Komi
subdialects spoken in Western Siberia. We focus on the interaction of Izhma
Komi, first, with Russian and, second, with the indigenous Siberian
languages (Nenets and to a lesser extent Khanty). The main emphasis is on
the phenomena of pattern borrowing at various language levels, which mostly
remained beyond previous studies. For instance, these include the borrowing of some phonotactic patterns, the copying of polysemy patterns, and changes in the
properties of some grammatical constructions. We discuss how in each case
the degree of contact-induced change depends on the sociolinguistic
situation.
Investigating bottom-quark Yukawa interaction at Higgs factory *
Authors: Bi Qi , Chai Kangyu , Gao Jun , Liu Yiming , Zhang Hao
Published: November 2020

Measuring the fermion Yukawa coupling constants is important for understanding the origin of the fermion masses and their relationship with spontaneously electroweak symmetry breaking. In contrast, some new physics (NP) models change the Lorentz structure of the Yukawa interactions between standard model (SM) fermions and the SM-like Higgs boson, even in their decoupling limit. Thus, the precise measurement of the fermion Yukawa interactions is a powerful tool of NP searching in the decoupling limit. In this work, we show the possibility of investigating the Lorentz structure of the bottom-quark Yukawa interaction with the 125 GeV SM-like Higgs boson for future

colliders.
Implications of axion-like particles from the Fermi-LAT and H.E.S.S. observations of PG 1553+113 and PKS 2155−304 *
Authors: Guo Jun-Guang , Li Hai-Jun , Bi Xiao-Jun , Lin Su-Jie , Yin Peng-Fei
Published: November 2020

We investigate the axion-like particle (ALP)-photon oscillation effect in the high-energy

-ray spectra of PG 1553+113 and PKS 2155−304 measured by Fermi-LAT and H.E.S.S. The choice of extragalactic background light (EBL) model, which induces the attenuation effect in observed

-ray spectra, affects the ALP implications. For the ordinary EBL model that prefers a null hypothesis, we set constraints on the ALP-photon coupling constant at 95% C.L. as

for the ALP mass

neV. We also consider the CIBER observation of the cosmic infrared radiation, which shows an excess at wavelengths of

m after the substraction of foregrounds. High-energy gamma-rays from extragalactic sources at high redshifts would suffer from a more significant attenuation effect caused by this excess. In this case, we find that the ALP-photon oscillation would improve the fit to the observed spectra of PKS 2155−304 and PG 1553+113 and find a favored parameter region at 95% C.L..
Study of underwater topography change with measurement and analysis
Authors: Iwakami Satoshi , Tamega Masahiko , Sanada Masahide , Mohri Michiaki , Iwakami Yoshitaka , Jimbo Shuji , Watanabe Masaji
Published: November 2020

Techniques developed in previous studies were applied to positional data and depth data concerning underwater topography of a reservoir. The Gauss-Krüger projection was applied to horizontal coordinates of positional data. The horizontal coordinates and the vertical coordinate yielded a curve in an underwater topography. A surface containing the curve was obtained by a fixed point iteration. Numerical results for two time periods were compared.
Analysis of User Satisfaction on Corona.Jakarta.go.id Website: Use Webqual Method 4.0
Authors: Titiani Fakihotun , Erni  , Riana Dwiza , Budihartanti Cahyani , Rahmatullah Syaifur , Tutupoly Taransa Agasya
Published: November 2020

The Corona.jakarta.go.id website is a website owned by the Jakarta city government as a provider of information related to Covid-19, the website contains data on the distribution of Covid-19 throughout Indonesia and specifically Jakarta, as well as appeals to the public and other information for overcoming Covid-19 in Indonesia. Indonesia is experiencing a pandemic Corona Virus or Covid-19, many websites are built as a form of government contribution to the response of Covid-19. As one of the websites which is a place for information related to Covid-19, of course many people access the website, with the information presented on the website, the website user satisfaction research is carried out by distributing questionnaires to the public. From the description of the problem, a Corona.jakarta.go.id website quality measurement is carried out using the Webqual 4.0 method whose aim is to find out the Webqual variables that affect user satisfaction, from the Webqual 4.0 indicators what needs to be improved for and provide recommendations improvement. Based on the results of a survey of 109 respondents obtained the value of R square for the variable user satisfaction by 0.448 or 44.8% through linear relationships, while the value of the remaining 0.552 or 55.2%, influenced by other variables outside this study.
Method for Calculating Children’s Parenting and Self-Concept towards Student’s Environmental Behaviour Using Correlational Approach
Authors: Sarkawi Dahlia , Lawu Suparman Hi , Oktaviani Anggi , Priadi Agus , Yuniasih Idah
Published: November 2020

The purpose of this study is to find the correlation among three variables namely children’s parenting and self-concept to increase students’ environmental behaviour on college students of Office Administration and Business Administration of Universitas Bina Sarana Informatika in Central Jakarta. Research and Development is chosen by involving 120 college students. The data were collected through participant observation using questionnaires. The data searched by the researcher using correlational approach with survey technique. The research findings showed that (1) the correlation between children’s parenting and students’ environment behaviour is positive and significant with the result of correlation is 0,327, (2) the correlation between self-concept and students’ environmental behaviour is positive and significant with the result of correlation is 0,360, and (3) the correlation both children’s parenting and self-concept is positive and significant with the result of contributed 0,253 towards environmental behaviour.
Influence Of Overload Information About COVID-19 Pandemic On Internet For Psychological Illnesses And Behavioral Intentions To Continue Searching For Information
Authors: Fadhilah N M , Fauziah S , Riana D , Eko A , Yulianto A , Sulthon B M
Published: November 2020

Information about COVID-19 is now very easily accessed on the Internet, even too much. The phenomenon of excessive information obtained can also be linked to psychological illnesses and obtain information retrieval. this article conducts research about information overload about the psychology of information seekers and their protection. The study used the TAM method with SEM tools with 380 respondents. The results of the study show that excessive online information about COVID-19 has a positive influence on the psyche and affects the relationship of information seekers not to continue the search results.
The Application of Power Business Intelligence in Analyzing the Availability of Rental Units
Authors: Andriansyah D , Nulhakim L
Published: November 2020

The availability of rental units in the field of vehicle rental services is the most important thing that must be given special attention by company management in order to provide good service to customers related to unit information. Sometimes unit information available in the field is different from what is recorded in the system, resulting in misinformation. For example, a unit that is supposed to be ready for rental, but in the system status the unit has not changed from its last status which causes the unit cannot be ordered by the customer. Errors are still found in the recording of repair units so that it needs to be adjusted to the status of the unit so that the unit can be rented immediately. Besides the lack of supervision of employees who record or update the status of the unit in the system makes the data pull system is not the same as the existing manual data. To reduce these errors, management requests that information on the availability of units be displayed in the form of a dashboard so that they can display the status of units from various categories simultaneously. This study uses literature study and experimental methods which consist of four stages, namely collecting data, pre-processing data, visualizing, and analyzing data. The purpose of this research is to build a dashboard using Power Business Intelligence (BI) that can display rental unit availability information from various categories based on certain parameters.
TAM Method and Acceptance of COVID-19 Website Users in Indonesia
Authors: Kurniasih A , Santoso A K , Riana D , Kadafi A R , Dari W , Husin A I
Published: November 2020

The world facing a hard time during this time since the presence of coronavirus (COVID-19). Public can monitor and update the information related the virus and its spread during this time through the internet, Indonesian Mobile website. The purpose of this research is to analyze the factors that influence people’s acceptance of the website the using the Technology Acceptance Model (TAM) method. Five constructs of the TAM research model used are Perceived Usefulness, Perceived Ease of Use, Attitude Towards Use, Intentions of Use Behavior and Use of Actual Systems. Data obtained using an online questionnaire from Google Form. Valid questionnaire data is processed using the SmartPLS 3 application using three structural analysis models, namely external model analysis, inner model analysis, and hypothesis testing. The results showed that of all the hypotheses studied and obtained in each hypothesis can be stated significantly and proven acceptable.
Detecting Alzheimer’s Disease by The Decision Tree Methods Based On Particle Swarm Optimization
Authors: Saputra R A , Agustina C , Puspitasari D , Ramanda R , Warjiyono  , Pribadi D , Lisnawanty  , Indriani K
Published: November 2020

In this study aims to determine the classification of Alzheimer’s disease, this disease is a dangerous disease that can eliminate memory loss and can even result in a loss of ability to remember. For this reason, early detection of this disease is needed so that it can prepare for medical treatment. In this study the proposed method is to compare several decision tree methods with feature or attribute selection using the Particle Swarm Optimization (PSO) algorithm with the Alzheimer OASIS 2 dataset: Longitudinal Data from kaggle.com. The results of experiments with ten-fold cross validation, by testing the decision tree algorithm before the feature or attribute selection is performed, the highest accuracy value is obtained from the random forest algorithm with a value of 91.15%. The feature selection process is carried out using the PSO algorithm and the experiment is repeated using the Decision tree, the PSO-based random forest algorithm has the highest accuracy value of 93.56% with a kappa value of 0.884. Feature or attribute selection using the PSO algorithm is proven to be able to improve the accuracy of the decision tree algorithm, and is included in the algorithm with a very good range of values.
The Implementation of the MFEP (Multi Factor Evaluation Process) Method In Determining the Learning Model
Authors: Warnilah Ai Ilah , Purnia Dini Silvi , Adiwisastra Miftah Farid , Sutisna Herlan , Ratningsih  , Ardianto Rian
Published: November 2020

The success of every generation of children is the hope of the success of the education world. The role of educators especially teachers has an important role in achieving the success of their students then a teacher must have a strategy in developing the learning system. A system approach is needed by using specific learning models, in order to help the teacher design the learning system. With the selection of the right learning model is one of the factors that support the success of the learning system. One factor of student achievement is less than the maximum is the application of learning models that are not appropriate, the selection of learning models still using manual systems makes the learning models applied less precise and appropriate. The purpose of this study is to determine the decision support system in determining learning models including cooperative learning models, problem based learning models, contextual learning models, Direct learning models, with the aim to assist teachers in determining the appropriate learning model to be applied in teaching and learning activities. The method applied is using the MFEP (Multi Factor Evaluation Process) method., by determining and giving subjective / intuitive assessments on factors / criteria that are very influential on indicators / alternatives and ranking systems to find out the alternative with the highest value. The results of this study cooperative learning models are highly recommended in the learning process in determining the level of success of students with a value of 6.18
Dynamic Model for Determining Disaster Evacuation Locations with Game Theory
Authors: Safii M. , Efendi Syahril , Zarlis Muhammad , Mawengkang Herman
Published: November 2020

Disaster management can be grouped into three stages with several activities that can be carried out starting from pre-disaster, during emergency response and post-disaster. In the pre-disaster stage one of which is mitigation, which is a series of efforts to reduce disaster risk, both through physical development and awareness raising and capacity to face the threat of disaster. In mitigation one important factor is about evacuation. Evacuation locations in disaster transportation management are urgently needed for an effective evacuation process. Evacuation location determination is a benchmark in handling evacuation that can minimize the impact of losses from the disaster. To determine the evacuation location dynamically using game theory can solve the problem by providing several alternative locations by showing the dominant factor in the variables in the selection of the evacuation site. Game theory will use pure and mixed strategies to provide the most optimum choice of criteria. With this method will produce a decision support system to determine the optimal evacuation location or safe area in disaster mitigation
Similarity Approach Based to Customer Behavior for Trade Business Metrics
Authors: Elveny Marischa , Nasution Mahyuddin KM , Zarlis Muhammad , Zamzami Elviawaty Muisa
Published: November 2020

Data mining is a process of mining data in very large amounts of data. The purpose of this data mining is to extract and identify data for the sake of certain information related to a large database. To find user behavior based on competing merchants, the similarity of several objects is needed. Similarity involves the process of characterizing each object or describing in detail the features of the object. In the process it produces the naming and weighting of the characteristics of objects so as to provide a way to measure their similarity. The way is determined by placing a comparison of what is the same and what is different from the two objects. The results achieved in the form of similarity methods to look for customer behavior in a competitive merchant. The purpose of this study is set out in a simple knowledge base in the form of information to find relationships and models. With this research it is expected to produce new standard models and paradigms that can be used in accordance with the needs of industry and society.
Analysis of Seismic Hazard Prediction Using Non Parametric Conic Multivariate Adaptive Regression Splines (C-Mars) Methods
Authors: Priyanto Dadang , Zarlis Muhammad , Mawengkang Herman , Efendi Syahril
Published: November 2020

The data mining process requires a data set that can be used in determining a number of specific patterns to gain new knowledge. Large data sets (Big data) require special methods to get effective results. Included in this study are using big data related to the earthquake in Lombok. Earthquake research, especially in Lombok, is needed because Lombok is on three active plates in Indonesia, so that the danger of earthquake damage can be minimized. Earthquake data obtained from the Geophysical Station (BMKG) of Mataram has different characteristics and is complex, an appropriate method is needed, namely by detecting a non-parametric method with the Multivariate Adaptive Regression Spline (MARS). The use of the backward stepwise algorithm with the Conical Quadratic Programming (CQP) framework of MARS, referred to as CMARS (Conic Multivariate Adaptive Regression Splines), is used for optimizing the results. The conclusions of this study are 1. A mathematical model with a total of 12 basis functions (BF) has contributed to the prediction analysis of the PGA dependent variable. 2. Contributions of the influence of independent variables on the PGA value are the epicenter distance (R

e

pi) of 100% and the Magnitude (Mw) of 31.08608%, while the temperature of the incident location (SUHU) of 5.48525% and depth (Depth) of 3,52988%. 3. Acquired areas that have earthquake hazard levels in the order of the most vulnerable are Malaka, Genggelang, Tegal Maja, Senggigi and Mangsit.
An Application of Mask Detector For Prevent Covid-19 in Public Services Area
Authors: Henderi  , Rafika Ageng Setiani , Spits Warnar Harco Leslie Hendric , Saputra Meldi Anggara
Published: November 2020

Coronavirus disease (COVID-19) that has entered Indonesia made the government impose large-scale social restrictions to reduce the spread of the coronavirus. As the increase in patients confirmed positive, the government continues to appeal and ask the Indonesian to use masks. Whether it is a healthy people or those who are sick. This appeal is in line with the recommendations of the World Health Organization (WHO) in preventing the spread of COVID-19. Therefore it is necessary to develop tools for monitor people who have not used masks in public service areas in real-time. We develop an application of mask detection using a camera that functions as photo and video input and connected to Speed Maix Bit microprocessor to process data and display it to the LCD. We purposed the tools to solve the problems regarding people who were not used masks or not immediately to minimize the spread of COVID-19. Our final experiment demonstrates that the application highly detects people using masks or not in the public area. This study contributed to the conception, design system, and rules-based for application of mask detector to prevent Covid-19.
High Accuracy in Forex Predictions Using the Neural Network Method Based on Particle Swarm Optimization
Authors: Nuraeni Nia , Astuti Puji , Irnawati Oky , Darwati Ida , Harmoko Danang Dwi
Published: November 2020

In forex trading, trader has to predict the risk in forex transaction and how to gain or increase the profits based on analysis. The purpose of this study is to predict the value of the USD against the IDR by comparing the neural network method with the neural network method based on Particle Swarm Optimization (PSO) to find out which level of accuracy is higher. This method was chosen by the author after reading several previous studies using PSO-based Neural Networks showing a higher level of accuracy compared to using Neural Networks without PSO-based. From the results of the study it was found that predictions using Neural Networks strengthened with PSO resulted in very high accuracy.
Comparison of Data Mining Algorithms Using Artificial Neural Networks (ANN) and Naive Bayes for Preterm Birth Prediction
Authors: Puspitasari Diah , Ramanda Kresna , Supriyatna Adi , Wahyudi Mochamad , Sikumbang Erma Delima , Sukmana Sulaeman Hadi
Published: November 2020

Premature birth is still a big problem in Indonesia, in general, 15 million babies are born prematurely every year, more than 1 million babies die from complications due to premature birth. The main purpose of this study is to compare the Artificial Neural Network and Naive Bayes datamining algorithm models to predict preterm birth so as to obtain clinical evidence in preterm birth long before confinement so that sudden preterm birth can be converted to normal nativity. The model proposed in research on the prediction of preterm birth is by applying an Artificial Neural Network (ANN) algorithm and Naive Bayes algorithm. Where the two algorithms will be compared the level of accuracy and the value of the AUC against the prediction of preterm birth The results obtained that the prediction of preterm birth using the Artificial Neural Network (ANN) algorithm produces an accuracy value of 90.67% and an ROC value of 0.954. While the Naive Bayes algorithm produces an accuracy value of 84.53% and an ROC value of 0.929. For this reason, it can be concluded that the Artificial Neural Network (ANN) algorithm has a superior accuracy of 6.14% and 0.025 for its ROC value in predicting preterm birth.
Sentiment Analysis Review Of Smartphones With Artificial Intelligent Camera Technology Using Naive Bayes and n-gram Character Selection
Authors: Aulianita R , Utami LA , Musyaffa N , Wijaya G , Mukhayaroh A , Yoraeni A
Published: November 2020

Mobile has become a basic necessity at this time. Everyone certainly has a cellphone according to their daily needs. To capture connections and carry out various activities with just one hand. The object of this research is a review of smartphones that have the best artificial intelligent cameras. Data processing methods used in research using the Naïve Bayes algorithm. Naïve Bayes is known as one of the methods with the best classification accuracy results for text mining. The research objective is to facilitate customers who will buy a smartphone with the best AI camera without having to read product reviews. So that it can see based on the classification of positive text and label negative text classification. In this study, n-gram is used as a character selector to provide better accuracy results. Based on the results of research conducted, the accuracy of Naïve Bayes results is 72.00%, then Naïve Bayes with n-gram selection accuracy is N-gram = 2, 72.00% accuracy results, n-gram = 3, 75.00% accuracy results, and n-gram = 4 accuracy results 74.50%. In this study, carried out 10 times the experiment to measure the increased accuracy of the addition of n grams. Thus concluding that the application of the n-gram character can increase the accuracy of the Naïve Bayes algorithm.