bluuebunny/crossref_metadata_2025 huggingface dataset:
Interplays of electron and nuclear motions along CO dissociation trajectory in myoglobin revealed by ultrafast X-rays and quantum dynamics calculations
Authors: Shelby Megan L. , Wildman Andrew , Hayes Dugan , Mara Michael W. , Lestrange Patrick J. , Cammarata Marco , Balducci Lodovico , Artamonov Maxim , Lemke Henrik T. , Zhu Diling , Seideman Tamar , Hoffman Brian M. , Li Xiaosong , Chen Lin X.
Published: March 2021

Significance

In this multidisciplinary study, we investigated local and global structural responses upon carbon monoxide (CO) dissociation from the heme iron(II) in myoglobin in solution using ultrafast X-ray absorption and scattering. CO dissociation was optically triggered and pulsed X-rays probed structural and electronic changes as a function of time, revealing an iron(II) spin state transition and nuclear motions propagating from the active site throughout the entire protein. Quantum mechanical computational results were used to assign the iron K-edge absorption features, and to map out electronic and nuclear trajectories during Fe–CO bond elongation and heme macrocycle doming. The study has important implications for heme–protein function and the interaction of small molecule substrates with the metal active centers in enzymes.
Fluid-like elastic response of superionic NH
3
in Uranus and Neptune
Authors: Kimura Tomoaki , Murakami Motohiko
Published: March 2021

Significance

H
2
O and NH
3
are representative materials comprising the mantle of ice giant planets. While H
2
O probably exists as the superionic state, in which hydrogen rapidly diffuses through oxygen sublattices, in the deep mantle of Uranus and Neptune, the stability field and physical properties of the superionic phase of NH
3
are poorly understood. Our Brillouin study for NH
3
suggested a new superionic phase exhibiting a longitudinal wave velocity comparable to that of the liquid, which is stable in the mantle of Uranus and Neptune at pressures higher than ∼50 GPa. We suggest that the superionic NH
3
is nonviscous and thus cannot contribute to the internal stratification responsible for generation of the nondipolar magnetic fields observed at the icy planets.
Use of NAD tagSeq II to identify growth phase-dependent alterations in
E. coli
RNA NAD
+
capping
Authors: Zhang Hailei , Zhong Huan , Wang Xufeng , Zhang Shoudong , Shao Xiaojian , Hu Hao , Yu Zhiling , Cai Zongwei , Chen Xuemei , Xia Yiji
Published: March 2021

Significance

Some RNAs in both prokaryotes and eukaryotes were recently found to contain the NAD
+
cap, indicating a novel mechanism in gene regulation through noncanonical RNA capping. Copper-catalyzed azide-alkyne cycloaddition (CuAAC) click chemistry has been used to label NAD
+
-capped RNAs (NAD-RNAs) for their identification. However, copper-caused RNA fragmentation/degradation interferes with the analysis. We developed the NAD tagSeq II method for transcriptome-wide NAD-RNA analysis based on copper-free, strain-promoted azide-alkyne cycloaddition (SPAAC) click chemistry. This method was used to compare NAD-RNA and total transcriptome profiles in
Escherichia coli
. Our study reveals genome-wide alterations in
E. coli
RNA NAD
+
capping in different growth phases and indicates that NAD-RNAs could be the primary form of transcripts from some genes under certain environments.
Modeling DNA trapping of anticancer therapeutic targets using missense mutations identifies dominant synthetic lethal interactions
Authors: Hamza Akil , Amitzi Leanne , Ma Lina , Driessen Maureen R. M. , O'Neil Nigel J. , Hieter Philip
Published: March 2021

Significance

Although inhibitor-mediated trapping of protein on DNA is a viable anticancer therapeutic strategy, there are very few examples of this approach with clinical applications. One limitation to expanding this strategy is the use of gene knockout-based modeling of chemical inhibition. Instead, we propose mimicking the trapping mechanism of DNA-associated cancer targets using dominant missense mutations. These mutations inhibit enzymatic activity without impacting DNA binding and generate cytotoxic lesions in the presence of the wild-type protein. Trapped cytotoxic lesions impact DNA processes and sensitize cells to deficiencies in some DNA-associated pathways. We identified genetic backgrounds that cannot tolerate the dominant mutant proteins and demonstrated a requirement for DNA or protein binding to maintain this cytotoxicity.
Ka Mua, Ka Muri – Walking Backward Toward the Future
Authors: Ruwhiu-Karawana Kylie
Published: March 2021

Tourism is an economic enabler for Māori communities and offers a chance to build employment opportunities that will assist in bringing iwi, hapū and whanau members back home to support their communities and be supported by them. Marae are the cornerstone of Māori culture. From behind the fence, they look like a collection of buildings, some ornately carved, some not, but for Māori they are the tether that connects them to their people and their place in this world.

Information

© Kylie Ruwhiu-Karawana 2021
Farvi: An Iranian Language in Kavir Desert
Authors: Taheri Esfandiar
Published: March 2021

Farvi, also known as Farrokhi, is an Iranian language spoken in the village of Farvi in Khur district of Kavir desert in central Iran. It shares features with other languages in Kavir region such as Khuri, Irāji and Garmayi. This paper describes synchronic and historical phonology and the grammar of Farvi based on data collected in Farvi village during April 2019. The study of historical phonology and morphological evidence show that though basically Northwestern, Farvi shares some features with Southwestern Iranian languages so that, like Kurdish and Balochi, it is separated from the other Northwestern Iranian languages. In later changes, Farvi shows some areal features that put it alongside Southeastern languages such as Northern Bashgardi and Balochi.
Quantitative PAT with simplified P

N
approximation
Authors: Zhao Hongkai , Zhong Yimin
Published: March 2021

The photoacoustic tomography (PAT) is a hybrid modality that combines the optics and acoustics to obtain high resolution and high contrast imaging of heterogeneous media. In this work, our objective is to study the inverse problem in the quantitative step of PAT which aims to reconstruct the optical coefficients of the governing radiative transport equation from the ultrasound measurements. In our analysis, we take the simplified P

N
approximation of the radiative transport equation as the physical model and then show the uniqueness and stability for this modified inverse problem. Numerical simulations based on synthetic data are presented to validate our analysis.
In pursuit of new physics with

Bd0→J/ψK0

and

Bs0→J/ψϕ

decays at the high-precision Frontier
Authors: Barel Marten Z , De Bruyn Kristof , Fleischer Robert , Malami Eleftheria
Published: March 2021

The decays

B

d

0

→
J
/
ψ

K

S

0

and

B

s

0

→
J
/
ψ
ϕ

play a key role for the determination of the

B

q

0

–

B

̄

q

0

(q = d, s) mixing phases ϕ

d
and ϕ

s
, respectively. The theoretical precision of the extraction of these quantities is limited by doubly Cabibbo-suppressed penguin topologies, which can be included through control channels by means of the SU(3) flavour symmetry of strong interactions. Using the currently available data and a new simultaneous analysis, we discuss the state-of-the-art picture of these effects and include them in the extracted ϕ

q
values. We have a critical look at the standard model predictions of these phases and explore the room left for new physics. Considering future scenarios for the high-precision era of flavour physics, we illustrate that we may obtain signals for physics beyond the standard model with a significance well above five standard deviations. We also determine effective colour-suppression factors of

B

d

0

→
J
/
ψ

K

0

,

B

s

0

→
J
/
ψ

K

S

0

and

B

d

0

→
J
/
ψ

π

0

decays, which serve as benchmarks for QCD calculations of the underlying decay dynamics, and present a new method using information from semileptonic

B

d

0

→

π

−

ℓ

+

ν

ℓ

and

B

s

0

→

K

−

ℓ

+

ν

ℓ

decays.
In-suit growth of Cu4SnS4 nanoplates on reduced graphene oxide (rGO) with ligand exchange exhibiting enhanced photodegradation property
Authors: Tang Yu , Liu Mengmeng , Xu Hongzhi , Xu Ming , Zhang Xiaoyan , Bao Ningzhong
Published: March 2021

In the present study, a novel Cu4SnS4/reduced graphene oxide (CTS/rGO) composite was successfully prepared using a simple one-pot heat-up method. Post-synthetic ligand exchange (LE) and annealing process were performed to further increase the dispersibility and the conductivity of the prepared composite. An unexpected phase transformation from CTS to Cu3SnS4 with an enhanced absorption in the near-infrared (NIR) region were observed after LE. Furthermore, the photodegradation of Rhodamine B (RhB) by the CTS/rGO composite was investigated. The CTS nanoplates with 10 wt% rGO treated through LE (CTS-10%rGO-LE) exhibited the highest (99.92%) degradation rate of RhB after 90 min of visible-light irradiation, which is approximately 10 and 1.28 times that of the pure CTS and the CTS-10%rGO treated using annealing (CTS-10%rGO-A). The enhancement of the photodegradation activity could be ascribed to the in-suit growth of CTS on rGO and the subsequent LE treatment, which effectively reduced the agglomeration of CTS and increased the electron-transfer ability of the composite materials. The CTS/rGO composite also exhibited high chemical stability of the photodegradation of RhB after four recycles. The electron paramagnetic resonance spectra reveal that ·OH and h+ are the main active species in the photocatalytic degradation of RhB with CTS-LE and CTS-10%rGO-LE photocatalysts. The in-suit growth of the CTS/rGO composite with a subsequent LE treatment has the potential to serve as an efficient photocatalysts for the degradation of organic pollutants.
Anatomy-guided PET reconstruction using l
1 bowsher prior
Authors: Kang Seung Kwan , Lee Jae Sung
Published: March 2021

Advances in simultaneous positron emission tomography/magnetic resonance imaging (PET/MRI) technology have led to an active investigation of the anatomy-guided regularized PET image reconstruction algorithm based on MR images. Among the various priors proposed for anatomy-guided regularized PET image reconstruction, Bowsher’s method based on second-order smoothing priors sometimes suffers from over-smoothing of detailed structures. Therefore, in this study, we propose a Bowsher prior based on the

l

1

-norm and an iteratively reweighting scheme to overcome the limitation of the original Bowsher method. In addition, we have derived a closed solution for iterative image reconstruction based on this non-smooth prior. A comparison study between the original

l

2

and proposed

l

1

Bowsher priors was conducted using computer simulation and real human data. In the simulation and real data application, small lesions with abnormal PET uptake were better detected by the proposed

l

1

Bowsher prior methods than the original Bowsher prior. The original

l

2

Bowsher leads to a decreased PET intensity in small lesions when there is no clear separation between the lesions and surrounding tissue in the anatomical prior. However, the proposed

l

1

Bowsher prior methods showed better contrast between the tumors and surrounding tissues owing to the intrinsic edge-preserving property of the prior which is attributed to the sparseness induced by

l

1

-norm, especially in the iterative reweighting scheme. Besides, the proposed methods demonstrated lower bias and less hyper-parameter dependency on PET intensity estimation in the regions with matched anatomical boundaries in PET and MRI. Therefore, these methods will be useful for improving the PET image quality based on the anatomical side information.
Feasibility of automatic detection of small hepatocellular carcinoma (≤2 cm) in cirrhotic liver based on pattern matching and deep learning
Authors: Zheng Rencheng , Wang Luna , Wang Chengyan , Yu Xuchen , Chen Weibo , Li Yan , Li Weixia , Yan Fuhua , Wang He , Li Ruokun
Published: March 2021

Background and objective. Early detection of hepatocellular carcinoma (HCC) is crucial for clinical management. Current studies have reported large HCC detections using automatic algorithms, but there is a lack of research on automatic detection of small HCCs (sHCCs). This study is to investigate the feasibility of automatic detection of sHCC (≤2 cm) based on pattern matching and deep learning (PM-DL) model. Materials and methods. A retrospective study included 5376 image sets from 56 cirrhosis patients (28 sHCC patients with 32 pathologically confirmed lesions and 28 non-HCC cirrhosis patients) in the training-validation cohort to build and validate the model through five-fold cross-validation. In addition, an external test cohort including 6144 image sets from 64 cirrhosis patients (32 sHCC patients with 38 lesions and 32 non-HCC cirrhosis patients) was applied to further verify the generalization ability of the model. The proposed PM-DL model consisted of three main steps: 3D co-registration and liver segmentation, screening of suspicious lesions on diffusion-weighted imaging images based on pattern matching algorithm, and identification/segmentation of sHCC lesions on dynamic contrast-enhanced images with convolutional neural network. Results. The PM-DL model achieved a sensitivity of 89.74% and a positive predictive value of 85.00% in the external test cohort for per-lesion analysis. No significant difference was observed in volumes (P = 0.13) and the largest sizes (P = 0.89) between manually delineated and segmented lesions. The DICE coefficient reached 0.77 ± 0.16. Similar performances were identified in the validation cohort. Moreover, the PM-DL model outperformed Liver Imaging Reporting and Data System (LI-RADS) in sensitivity (probable HCCs: LR-5 or LR-4, P = 0.18; definite HCCs: LR-5, P < 0.001), with a similar high specificity for per-patient analysis. Conclusion. The PM-DL model may be feasible for accurate automatic detection of sHCC in cirrhotic liver.
Toward practical driving fatigue detection using three frontal EEG channels: a proof-of-concept study
Authors: Liu Xucheng , Li Gang , Wang Sujie , Wan Feng , Sun Yi , Wang Hongtao , Bezerianos Anastasios , Li Chuantao , Sun Yu
Published: March 2021

Objective. Although various driving fatigue detection strategies have been introduced, the limited practicability is still an obstacle for the real application of these technologies. This study is based on the newly proposed non-hair-bearing (NHB) method to achieve practical driving fatigue detection with fewer channels from NHB areas and more efficient electroencephalogram (EEG) features. Approach. EEG data were recorded from 20 healthy subjects (15 males, age = 22.2 ± 3.2 years) in a 90 min simulated driving task using a remote wireless cap. Behaviorally, subjects demonstrated a salient fatigue effect, as reflected by a monotonic increase in reaction time. Using a sliding-window approach, we determined the vigilant and fatigued states at individual level to reduce the inter-subject differences in behavioral impairment and brain activity. Multiple EEG features, including power-spectrum density (PSD), functional connectivity (FC), and entropy, were estimated in a pairwise manner, which were set as input for fatigue classification. Main results. Intriguingly, this data-driven approach showed that the best classification performance was achieved using three EEG channel pairs located in the NHB area. The mixed features of the frontal NHB area lead to the high within-subject detection rate of driving fatigue (92.7% ± 0.92%) with satisfactory generalizability for fatigue classification across different subjects (77.13% ± 0.85%). Moreover, we found the most prominent contributing features were PSD of different frequency bands within the frontal NHB area and FC within the frontal NHB area and between frontal and parietal areas. Significance. In summary, the current work provided objective evidence to support the effectiveness of the NHB method and further improved the performance, thereby moving a step forward towards practical driving fatigue detection in real-world scenarios.
Townsend to glow discharge transition for a nanosecond pulse plasma in helium: space charge formation and resulting electric field dynamics
Authors: Simeni Marien Simeni , Zheng Yashuang , Barnat Edward V , Bruggeman Peter J
Published: March 2021

Stark polarization spectroscopy is used to investigate the temporal evolution of the electric field distribution in the cathode region of a nanosecond pulsed discharge in helium at 120 Torr. The measurements are performed on the He I transition at 492.19 nm, during the early stages of the discharge formation. The experimental results are compared with the predictions of a 1D fluid model. Time-resolved ICCD images show that the discharge develops as a diffuse, cathode-directed ionization wave with a Townsend-like feature before transitioning into a glow-like structure. Near anode instabilities characterized by filament formation were observed near the high voltage electrode. Within 30 ns, a reduction of the sheath thickness to about 250 μm is observed, coinciding with a gradual increase of the discharge current and proportional increase in electric field at the cathode. The cathode electric field corresponding to this sheath with a thickness of 250 μm is about 40 kV cm−1. A subsequent steep increase of the discharge current leads to a further reduction of the sheath width. The electric field evolution as obtained by the fluid model is in excellent agreement with the measurements and shows that an enhanced ionization near the cathode is causing the space charge formation responsible for the increase in electric field.
Unveiling the role of dielectric trap states on capacitively coupled radio-frequency plasma discharge: dynamic charging behaviors
Authors: Zhang Shu , Sun Guang-Yu , Volčokas Arnas , Zhang Guan-Jun , Sun An-Bang
Published: March 2021

The influence of charge trap states in the dielectric boundary material on capacitively coupled radio-frequency (RF) plasma discharge is investigated with theory and particle-in-cell/Monte Carlo collision simulation. It is found that the trap states of the wall material manipulated discharge properties mainly through the varying ion-induced secondary electron emission (SEE) coefficient in response to dynamic surface charges accumulated within the solid boundary. A comprehensive SEE model considering surface charging is established first, which incorporates the valence band electron distribution, electron trap density, and charge trapping through Auger neutralization and de-excitation. Theoretical analysis is carried out to reveal the effects of trap states on sheath solution, stability, plasma density and temperature, particle and power balance, etc. The theoretical work is supported by simulation results, showing the reduction of the mean RF sheath potential as charging-dependent emission coefficient increases. As the gas pressure increases, a shift of the maximum ionization rate from the bulk plasma center to the plasma-sheath interface is observed, which is also influenced by the trap states of the electrode material where the shift happens at a lower pressure with traps considered. In addition, charge traps are proven to be helpful for creating asymmetric plasma discharges with geometrically symmetric structures; such an effect is more pronounced in γ-mode discharges.
Feature optimization using Backward Elimination and Support Vector Machines (SVM) algorithm for diabetes classification
Authors: Maulidina F , Rustam Z , Hartini S , Wibowo V V P , Wirasati I , Sadewo W
Published: March 2021

Diabetes is a disease that occurs when the blood glucose level is higher than normal and also leads to health problems. Early and accurate diagnosis needs to be carried out on individuals affected by this disease. Furthermore, excellent treatment needs to be provided to prevent worse situations. Some studies have used several machine learning methods to diagnose diabetes. Furthermore, in this study, the Backward Elimination and Support Vector Machine (SVM) algorithm was used to classify the PIMA Indians diabetes dataset. It consisted of 268 diabetic and 500 non-diabetic patients with eight attributes. Backward Elimination is a feature selection method used to remove irrelevant features based on the linear regression model. Using this method, the right features for the model was expected. This method has some advantages which include increasing training time, decreasing complexity and improving performance and accuracy. Therefore, the performance of SVM improved. Based on the experiments, it was discovered that by combining feature selection algorithm (backward elimination) and SVM, the highest accuracy obtained was 85.71% using 90% data training. Therefore, it was concluded that Backward Elimination combined with SVM algorithm is an excellent method to classify diabetes by using the PIMA Indians diabetes dataset.
Ovarian cancer classification using K-Nearest Neighbor and Support Vector Machine
Authors: Wibowo V V P , Rustam Z , Hartini S , Maulidina F , Wirasati I , Sadewo W
Published: March 2021

Ovarian cancer is one of the common malignancies in women and a known cause of death. This condition occurs when a tumor appears from the growth of abnormal cells in the ovary. It causes about 140.000 deaths out of 225.000 cases annually. Most women with ovarian cancer do not have distinctive signs and symptoms even at the late stage. Therefore, diagnosis at an early stage is necessary because it has a significant impact on the survival rate. Machine learning with various methods can be used in the medical field to classify diseases. Among the many methods, K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) were used and analyzed in this study to classify ovarian cancer. The data used were from Al Islam Bandung Hospital consisting of 203 instances with 130 labeled ovarian cancer and 73 as non-ovarian. The results showed that the KNN produced higher results than SVM with 90.47% of accuracy and 94.11% of F1-score, while SVM produced accuracy and F1-score values of 90.47% and 92.30% respectively.
The application of Geometric Brownian Motion in stock forecasting during the coronavirus outbreak in Indonesia
Authors: Fitria Irma , Handayati Kristin Nova , Hasanah Primadina
Published: March 2021

Geometric Brownian Motion is a mathematical model that can be used in stock price forecasting. This research aimed to predict the stock prices during the outbreak of coronavirus in Indonesia. There are four important steps of this research, such as calculating the return of the stocks, analyzing the normality test of stock price return, forecasting the stock price by using Geometric Brownian Motion, and calculating the errors of the forecasting. Based on the research, the MAPE for three forecasted stock prices is mostly around 10%.
Application of Density-Based Spatial Clustering of Application With Noise to Optimize Matching Problems in Ridesharing for Maximize Total Distance Proximity Index
Authors: Syafira I G , Satria Y , Burhan H
Published: March 2021

Ridesharing is one of models that attempt to reduce congestion problems due to increased use of private vehicles with low occupancy. The problem related to ridesharing is to get an optimal pair of drivers and riders, while the numbers of participants involved are very large and optimization must be done in a short amount of time. In this paper DBSCAN clustering will be used as the first step to optimize the matching problem in ridesharing with DP Index as the objective function. Driver and rider with similar distance will be a good match by using DP Index as the objective function if both origin and destination of driver and rider are in a close proximity. DBSCAN clustering is one of the methods of clustering based on the density of 2-dimensional objects. In the initial stage, the DBSCAN clustering method is used to cluster the origin and destination locations of the drivers and riders. After obtaining the clusters, the driver-rider pair will be matched based on the maximum DP Index by the Hungarian algorithm. This paper uses three times periods as the result of this experiment shows that DBSCAN clustering able to increase the total number of pairs of driver-rider matching.
Application of agglomerative hierarchical clustering to optimize matching problems in ridesharing for maximize total distance savings
Authors: Nurseptiani A , Satria Y , Burhan H
Published: March 2021

Ridesharing is transportation mode which brings together its participant whose similar itineraries and time schedule. The problem is how to compute matching requests with the large number of participants in short optimization time. For m driver n rider at the same time period, there is mxn driver-rider combination (possible match / pm) which will be considered whether time feasibility constraint is satisfied or not, if it satisfied then the pair is feasible match (fm). This paper purposed Agglomerative Hierarchical Clustering (AHC) to be applied for determining pm. By applying AHC, the pair which is not feasible based on their location is eliminated. AHC is clustering which merge two closest cluster, recursively, until all objects merge into one cluster. After we get fm set, we will check is there any pair whose distance saving less than zero? If it is, then it will be eliminated. To decide pairs that will do ridesharing trip (optimum match) we use Hungarian Algorithm. As the result, we obtain same number of optimum matched with and without applying AHC. At the process, by applying AHC, we can reduce the number of pm, so that total calculation of the driver-rider match that will be optimized is less.
The uniqueness of binary operation on semilocally simply connected, connected and locally path connected topological groups
Authors: Risali V , Wijayanti I E
Published: March 2021

Given a topological group X with unity e. Suppose that X satisfies semilocally simply connected, locally path connected and connected condition. For every connected covering space (

X
˜

, q) of X, there is a binary operation such that

X
˜

becomes a topological group with unity r, q(r) = e and q becomes a group homomorphism. In this paper, we show that there is a unique binary operation on

X
˜

such that it is a topological group with unity r and q is a group homomorphism.
Monte Carlo method to valuate CAT bonds of flood in Surabaya under Jump Diffusion Process
Authors: Kurniawan Hengky , Putri Endah RM , Imron Chairul , Prastyo Dedy D.
Published: March 2021

The characteristic of natural disasters is that they tend to be rare. However, once they occur, natural disasters can result in enormous losses. In Indonesia, the natural disasters that cause the most losings are floods. Insurance companies will suffer immensely if many policyholders make claims due to losings from this natural disaster. Therefore, a financial instrument is urgently needed to transfer this risk to another party who is better at bearing the risk of loss. This financial instrument is called a CAT bond. The causes of flooding diverge into the hydrological aspect and hydraulic aspect. Maximum rainfall affects the hydrological aspect. In this research, we use a study case of flood in Surabaya. The maximum rainfall is predicted using the Gaussian Process Regression. Furthermore, the losses due to flooding obtained are modeled by the Jump Diffusion Process. The MAPE value obtained by the Jump Diffusion Process is much smaller than the Diffusion Process. From the results of the Monte Carlo simulation, it leads to the conclusion that the trigger value of the CAT bond contract significantly affects the CAT bond price, while the interest rate and the reduction proportion have a slightly significant effect.
Level alert classification of dengue hemorrhagic fever cases in DKI Jakarta with the implementation of the random forest algorithm
Authors: Dzakwan Ikhwanul Ghazy , Hertono Gatot Fatwanto , Aldila Dipo , Handari Bevina Desjwiandra
Published: March 2021

In 2007, the capital district, DKI Jakarta had one of the worst floods that submerged nearly 60% of the area. One of the causes was heavy rainfall. Two months after the incident, the Governor of DKI Jakarta stated that the capital district was affected by an outbreak of dengue fever. From these two incidents, there are some indications of dengue hemorrhagic fever cases related to weather. In this research, a random forest classification algorithm was used to build a model that could classify the level alert of dengue fever for each district in DKI Jakarta into three categories: safe, moderately safe, and unsafe. The results and the accuracy of the classification model for the level alert of cases of dengue hemorrhagic fever for East Jakarta, North Jakarta, South Jakarta, Central Jakarta, and West Jakarta are 94.51%, 86.81%, 81.32%, 80.22%, and 80.22% respectively.
Spreading dynamic of infectious disease in two interacting areas
Authors: Kamiran  , Widodo Basuki , Hariyanto  , Asiyah Nur , Hakam Amirul
Published: March 2021

The spread of infectious disease in a heterogeneous area can be grouped as a homogeneous group. The graph theory approach to analyze the spread of infectious disease in the group using a mathematical model. Heterogeneity in a population can be caused by many factors. Within a group can be divided into several homogeneous groups based on clusteritation, such as grouping the population based on age in the spread of infectious diseases. Population heterogeneity can be described as a network where each vertex represents a homogeneous group and an edge (j, i) exists if and only if the disease can be transmitted from group i to group j. The system of mathematical differential equations is formed based on the graph theory approach and the infectios disease distribution compartment diagram. Based on the numerical solution that we have obtained, the rate of change in the exposed population increases as the increasing of the disease transmission. And the rate of change in the infected population increases as the endemic appears.
Coalescence Phenomenon in the Three Photon Quantum Interferences
Authors: Ripala D P , Rohedi A Y , Suryadi
Published: March 2021

We present the theoretical study of three-photon interference in the six ports Mach-Zehnder Interferometer (6p-MZI). The 6p-MZI consist of two lossless symmetrically balanced tritters and three independently controllable phase modulators inserted in each photon line path between the tritters. Three photons (Fock state) are injected onto the first tritter input ports and measured in second tritter output ports. By independently varying the phases states of the three photons, one can control the detection probability of photon numbers at final tritter output ports. The calculation results demonstrated that, at the specific combination of phase states, the three photons interference exhibited a coalescence phenomenon, which is the three-photons detected at the same output port. Interestingly, the probability of detecting photons in all combination modes of |0, 0, 3), |0, 3, 0〉, and |3, 0, 0〉 are monotonously in the equal values.
Generalized master equation for first-passage problems in partitioned spaces
Authors: Frömberg Daniela , Höfling Felix
Published: March 2021

Motivated by a range of biological applications related to the transport of molecules in cells, we present a modular framework to treat first-passage problems for diffusion in partitioned spaces. The spatial domains can differ with respect to their diffusivity, geometry, and dimensionality, but can also refer to transport modes alternating between diffusive, driven, or anomalous motion. The approach relies on a coarse-graining of the motion by dissecting the trajectories on domain boundaries or when the mode of transport changes, yielding a small set of states. The time evolution of the reduced model follows a generalized master equation (GME) for non-Markovian jump processes; the GME takes the form of a set of linear integro-differential equations in the occupation probabilities of the states and the corresponding probability fluxes. Further building blocks of the model are partial first-passage time (FPT) densities, which encode the transport behavior in each domain or state. After an outline of the general framework for multiple domains, the approach is exemplified and validated for a target search problem with two domains in one- and three-dimensional space, first by exactly reproducing known results for an artificially divided, homogeneous space, and second by considering the situation of domains with distinct diffusivities. Analytical solutions for the FPT densities are given in Laplace domain and are complemented by numerical backtransforms yielding FPT densities over many decades in time, confirming that the geometry and heterogeneity of the space can introduce additional characteristic time scales.
Research on the Application of Feature Modeling of Prefabricated Building Components Based on BIM
Authors: Wang Yi ping
Published: March 2021

Building industrialization is a new trend in the development of today’s construction industry, and prefabricated buildings have gradually become a hot spot in the construction industry. Prefabricated components are the core of prefabricated building management. The key points of prefabricated component management include component design, supply, installation, and operation and maintenance. BIM takes the whole life cycle of the building as the main line, links all links of the building through information, and realizes the integration of the whole life cycle information model of prefabricated components, which can solve the problem of backward production and management in the current construction industry. This paper proposes the realization method of the characteristic modeling system of prefabricated components. Based on the research on the design, production, construction and operation of prefabricated components, the functional requirements of parametric modeling and production management systems are analyzed, and the modular concept is applied. Divide the system into different functional modules and conduct research.
Experimental study on flexural behavior of GFRP reinforced concrete slabs
Authors: Li-xiang Sun , Peng-zhen Lin , Zi-jiang Yang , Ying-long Liu , Qu Shen
Published: March 2021

Remarkable performance of glass fiber-reinforced polymer (FRP) bars make it an ideal candidate for prolonging the life of concrete structure. Although analytical and experimental research of concrete beams strengthened by FRP have flourished in recent decades, it is still in lack of research in comparison with traditional reinforced concrete structures, especially in case of the flexural behavior. In this paper, two groups of GFRP reinforced concrete slabs with different strength grades and reinforcement ratios were experimentally tested, and theoretical calculation method on their bearing capacities was explored. By comparing the deformation and bearing capacity characteristics, the test results were discussed in detail. The calculation formula of flexural capacity of GFRP reinforced concrete slab was derived and then verified against the experimental data. The test results show that the load deflection curve presents obvious double straight lines, and the reinforcement ratio is not closely related to the initial crack load. The cross section still obeys the plane section assumption and the crack distribution is sparse with large width. The flexural bearing capacity coefficient changes from 1.02 to 1.36. Therefore, the limitation of 1.4 times balanced reinforcement ratio in ACI is verified, which could apply a valuable reference for durability design of GFRP reinforced concrete slabs.
Scientific based learning assisted by integration E-modules biochemical in Al-Quran
Authors: Risnita R , Fadlilah F , Muliawati L
Published: March 2021

The introduction of this research that learning need learning activities. The learning process will be done if there were a good learning activity. Process of learning activities must involve all aspects such as students, teachers, and the environment. Learning activities were physical and mental activities. In the learning process, the both of the activities must be combined. Based on observation, student biology education learning proses lowed learning activity. The aim of this research to increased students learning activity Biology Education Studi Program Faculty of Tarbiyah UIN STS Jambi. Collaborative learning based on lesson study has been done in the Biology Education Studi Program Faculty of Tarbiyah UIN STS Jambi in biochemistry courses. Open Lesson done for 2 cycles namely cycle one and cycle two. The stages of the study lesson were plan (goal-setting and planning), do (research Design), see (lesson Discussion) and redesign (consolidation of Learning). Each cycle donet using a scientific approach in implementation with the approaches in the e-module. At the beginning of the lecture, student done the pre-test and the end of the lecture they done post-test. The results of this study indicated that an increased student learning activities in the process of lecturing biochemical.
Is pressing technique required in the application on aloe vera leaf pulp for skin moisture?
Authors: Sulianti A , Bellanian I , Sabrina N H , Rahman A A , Ulfiah U
Published: March 2021

Although Aloe vera has been investigated to contain mucopolysaccharides that are beneficial for moisturizing the skin, the technique for its use is still not widely studied. This study aimed to analyze the effects of skin moisture from the use of aloe vera leaf pulp by patting and pressure rubbing techniques on facial skin. This is an experimental research on 50 women aged 18-20 years. Moisture observation techniques were carried out using photo analysis from a microscope on the skin with 600x magnification. The results showed that the patting technique was better in improving the roughness and shine of skin (p <0.05). As for the repair of cracks and skin scrapes both tapped and rubbed together gave the same good results. Pressing technique on the skin is not needed to moisturize the skin using aloe vera.
Development of a Risk Management Plan for the construction of the Karian – Serpong water conveyance
Authors: Wibowo E
Published: March 2021

The Karian - Serpong raw water channel construction project is a pipeline construction project to supply drinking. This water channel flows raw water from the Karian Dam in Lebak Banten to the Water Treatment Plant (WTP) located in the Serpong area. This airway project has a higher composition in its implementation, urgently needs management planning, so that the project can run well and be completed, it does not require delays. This study aims to identify risks, analyze the impact and risk response and compile them into a Risk Management Plan as a supporting document in the implementation of the construction of the Karian - Serpong water conveyance. The study was conducted using the method of Literature Study with Meta-Analysis of research that had been done before on similar construction projects. The results of this study found the supply of materials and equipment needed in the pipeline construction project was the dominant factor influencing the time performance in the pipeline development project. Environmental conditions are protests from residents around the project and the condition of busy traffic around the project is also a dominant factor affecting the speed of project implementation. As a risk response in this research is the equipment and materials must be done well before the project runs, during the project must be controlled and ensured always available in the project following with the needs of the project. Communication and coordination with residents around the project must be done well, traffic around the project must also be regulated properly so as not to regulate pipeline construction projects. It is hoped that later this Risk Management Plan can be useful for contractors in managing risks during project implementation and providing input to the Ministry of Public Works and Public Housing for subsequent implementation of similar projects.
Comparison of laboratory test and in-situ test results against bored pile foundation bearing capacity at Sido Mukti II Bridge Foundation Gorontalo Province
Authors: Achmad F
Published: March 2021

The purpose of this study is to compare the bearing capacity of the bored pile from the results of laboratory tests and in situ tests. Soil investigations conducted in the field in the form of a Standard Penetration Test (SPT), and drilling. SPT test to obtain variations in soil density. While drilling is used to describe the soil profile at a certain depth. The research method is in the form of analysis of bearing capacity based on comparison of the results of in-situ tests and laboratory tests. Soil results from drilling are taken in 2 conditions namely disturbed conditions to describe each layer and undisturbed samples to be tested in a laboratory with a direct shear test or unconfined compressive strength. Based on the comparison of the value of the allowable bearing capacity is found that the analysis of the results of the in-situ test gives a value of the allowable bearing capacity more than the laboratory tests. This is due to the soil condition in the field at the testing experiencing compaction due to blow SPT.
Experimental study on sediment trap capacity of ring net barrier with varying basal openings
Authors: Putri C W S , Legono D , Rahardjo A P , Alfianto A
Published: March 2021

Ring net barrier is originally developed as a protection from rockfalls, but some countries have proven that this type is also effective in trapping debris flow sediment. In Indonesia, ring net barrier as sediment control is applied by Sabo Research and Development Center in Lumajang, East Java on a slope of 3.48o and is placed 0.8 m above the river bed surface. To identify the optimal position of the basal opening, a hydraulic flume test is performed with a scale of 1:60, 0.6 cm of diameter of ring, and a variety of discharge (11 liters/sec, 8 liters/sec, and 1.8 liters/sec). These numbers are based on the scaling with 10% sediment concentration and a flow time of 144 seconds. The basal opening position is varied from the same elevation as river bed, placed as deep as 1.66 cm and 3.2 cm The results show that ring net can retain more sediment if the net is placed 3.2 cm deep. Therefore, the sediment trap capacity of ring net barrier that is applied in Lumajang can be optimized by shifting the basal opening’s position to 1.92 meters deep from the river bed.
The influence of concrete compressive strength on bonding of concrete bundled bars
Authors: Walujodjati E , Tjondro J A , Farida I , Permana S
Published: March 2021

The reinforced concrete, one of the things that cause reinforcement and concrete to work together is bonding. Where the perfect attachment between the concrete and reinforcement produces a strain on the reinforcement is the same as the strain on the concrete around it. Reinforcement bundles as an alternative solution to the limitations of the cross-sectional dimensions are feasible to be developed. Experimental studies are needed to see the ability of the reinforcement bundle associated with the bonding stress produced by several parameters. Concrete strength as an important parameter in reinforced concrete is related to the use of reinforcement bundles that need to be examined. Concrete compressive strength test produces 27 MPa 36 MPa, and 39 MPa. The reinforcement steel tensile test produces 462 MPa yielding stress and 628 MPa ultimate stress. With the pull-out test of the concrete cylindrical specimen diameter of 150 mm x 200 mm produces a variety of bonding stress values. Variations in the compressive strength of concrete in the reinforcement bundle did not appear to influence the value of bonding stress significantly. Only the visible increase in bonding stress increases with the strength of the concrete and the number of bars in the bundle.
Analysis of discharge and area of the debris flow based on geological structural and rainfall levels in the slopes of Mount Abang, Kintamani
Authors: Sinarta I N , Wahyuni P I , Aryastana P
Published: March 2021

Geological structural and rainfall intensity causes the parameters of soil shear strength to decline, especially in the surface layer of soil in volcanic rocks that have not experienced weathering. Study of geological structures and rainfall intensity against the hazard of a landslide was destroyed on the slopes of Mount Abang in the Abang Batudinding Village. Soil investigations using the Geoelectric method and sampling at 6 boreholes. Geological analysis on interpretation of slope outcrops, average rainfall analysis of the Thiessen Polygon method and analysis of design flood discharge using the NHSU method. Analysis results show the morphology of the slopes of Mount Abang with a slope of more than 40% and lithology of weathered volcanic rocks consisting of volcanic breccias, and tuffs breccias in conditions rather mild to moderate weathering, if have average effective rainfall for 10-50 years at 238 mm/day. The results also show that the peak discharge of debris flow was 98.639 m3/sec with the volume of debris flow 50072.85 m3 and the width of the range was 49.5 m. This debris flow volume indicated that residents around the river with a range of 49.5 m are at risk of debris flow sediment with a thickness of 1-1.5 m.
Analysis of causes and impact of variation order in the education building project in Gorontalo Province
Authors: Tuloli M Y , Utiarahman A , Palilati M P
Published: March 2021

In construction project work, inconsistencies sometimes occur in some or even all phases of the work. The inconsistency (variation order) has significant implications on the success of the project which can result in the work not being completed on time or even triggering cost overruns. The purpose of this study is to analyze the factors that cause the order of variation and to determine the effect of variations in the order of development projects in the Education Building in Gorontalo Province. This type of research is a descriptive study in which the method of analysis using SPSS program tools and analyzed by the Likert Scale method, the validity and reliability test, and the index of importance. The results of the analysis, there are six factors causing variation order: design changes, mismatches between drawings and field conditions, the addition of scope of work, unclear planning and specifications, changes in material specifications, changes in work methods. The impact caused by the addition of work volume and additional work time.
Traffic impact analysis Swiss-Belinn Hotel in Gorontalo City
Authors: Kadir Y , Patuti I M
Published: March 2021

The Swiss-Belinn hotel development plan which will be built in the central area of Gorontalo City will influence on the change in traffic volume. This change will bring an imbalance between the amount of traffic generated and the capacity of the road around the Swiss-Belinn Hotel Development Plan. Data analysis included analysis of road section performance analysis, intersection analysis and, traffic impact analysis. Analysis of the calculation of the performance of roads and intersections using the 1997 MKJI Method. The studied roads are the M.T Haryono, Nani Wartabone Roads, 23 January and, Taki Niode. The results of the study obtained the level of service of roads and intersections after operating the value of C After some kind of handling, the level of service becomes good according to each treatment.