bluuebunny/crossref_metadata_2025_split huggingface dataset:
DaNet: dose-aware network embedded with dose-level estimation for low-dose CT imaging
Authors: Huang Zhenxing , Chen Zixiang , Chen Jincai , Lu Ping , Quan Guotao , Du Yanfeng , Li Chenwei , Gu Zheng , Yang Yongfeng , Liu Xin , Zheng Hairong , Liang Dong , Hu Zhanli 
Published: October 2020

Abstract
Many deep learning (DL)-based image restoration methods for low-dose CT (LDCT) problems directly employ the end-to-end networks on low-dose training data without considering dose differences. However, the radiation dose difference has a great impact on the ultimate results, and lower doses increase the difficulty of restoration. Moreover, there is increasing demand to design and estimate acceptable scanning doses for patients in clinical practice, necessitating dose-aware networks embedded with adaptive dose estimation. In this paper, we consider these dose differences of input LDCT images and propose an adaptive dose-aware network. First, considering a large dose distribution range for simulation convenience, we coarsely define five dose levels in advance as lowest, lower, mild, higher and highest radiation dose levels. Instead of directly building the end-to-end mapping function between LDCT images and high-dose CT counterparts, the dose level is primarily estimated in the first stage. In the second stage, the adaptively learned low-dose level is used to guide the image restoration process as the pattern of prior information through the channel feature transform. We conduct experiments on a simulated dataset based on original high dose parts of American Association of Physicists in Medicine challenge datasets from the Mayo Clinic. Ablation studies validate the effectiveness of the dose-level estimation, and the experimental results show that our method is superior to several other DL-based methods. Specifically, our method provides obviously better performance in terms of the peak signal-to-noise ratio and visual quality reflected in subjective scores. Due to the dual-stage process, our method may suffer limitations under more parameters and coarse dose-level definitions, and thus, further improvements in clinical practical applications with different CT equipment vendors are planned in future work.
A two-photon laser in a Kerr-like medium with cross-Kerr and intensity-dependent coupling
Authors: Mathkoor Faisal H A , Raymond Ooi C H 
Published: October 2020

Abstract
We have studied the photon statistics of a nondegenerate two-photon laser with a medium that has both self- and cross-Kerr interactions as well as intensity-dependent atom–field coupling in the Hamiltonian. The density matrix equation of the atoms and two-mode cavity fields was derived using the standard Scully–Lamb approach and numerically solved. Under certain conditions, the photon distribution function equation was derived and solved analytically. The first few moments of photon numbers were calculated in the region above the lasing threshold. Nonclassicality of the fields was investigated by means of the Mandel Q parameter, second-order correlation functions and the Cauchy–Schwarz inequality. The results are analyzed for a range of finite Kerr parameters. Intensity-dependent coupling suppresses the nonclassicality of the field. It pushes the statistics of the field towards super-Poissonian.The self- and cross-Kerr interactions have significant roles in the nonclassicality of the two-photon cavity field and its statistics. These results are interesting for the field of quantum nonlinear optics and useful in quantum communications.
Design and Implementation of a TCP Long Connection Load Balancing Algorithm Based on Negative Feedback Mechanism
Authors: Chunlei Wei , Jixin Hou , Dechao Ma , Jinghu Zhao , Yunfeng Sun 
Published: October 2020

Abstract
Dynamic load balancing is an important way to improve the resource utilization and parallel computing performance of multi-server system. For the mass of terminals under the Internet of Things scenario high frequency periodic escalation and receiving messages scene, the terminal equipment and message server need to establish a TCP long connection to communicate, the accumulation of messages different degree of weight will cause the load tilt. In this paper, an algorithm based on the socket buffer feedback mechanism is proposed, which takes the server load (CPU, memory, connection rate and socket buffer cache) as the load indicator, collects the load indicator through the load agent and calculates the discrete coefficient of the server socket buffer. The dispatch controller calculates the weight of each server, and the higher the weight, the lighter the server load. The experiments show that the CMTS more realistically feedbacks the server load status than the least connections. As the number of cluster server connections and message sending rate increase, the average cluster response time is shorter.
Present Situation and Development of Internal Sensors for Ultra-high Frequency Detection in Gas Insulated Switchgear
Authors: Chen Li , Xiaoxin Chen , Xianjun Shao , Hua Xu 
Published: October 2020

Abstract
This paper discusses the application situation of the ultra-high frequency (UHF) method and optical method in the detection of partial discharge of gas insulated switchgear (GIS), and the differences between external and internal UHF sensors. The sensor is a key technology in the PD detection method, and its performance directly affects the validity of the monitoring results. Different partial discharge detection sensors have different characteristics and working environments. UHF sensor has the advantages of wide detection range and convenient layout. Optical sensors have the advantages of high sensitivity and fast response speed. Six main types of internal sensors are evaluated and the performance indicators of internal sensors are discussed which includes disc antenna, loop antenna, dipole antenna, planar spiral antenna, conical antenna, photoelectric composite sensor. Furthermore, some problems need to be solved are proposed for further research, which is of great significance to the safe and stable operation of power equipment.
A Prediction Model for Time Series of Dissolved Gas Content in Transformer Oil Based on LSTM
Authors: Hu Chuye , Zhong Yang , Lu Yiqi , Luo Xiaotong , Wang Shaorong 
Published: October 2020

Abstract
By combining with dissolved gas analysis, time series prediction of dissolved gas content in oil provides a basis for transformer fault diagnose and early warning. In the view of that, a prediction model based on long short time memory (LSTM) network for time series of dissolved gas content in oil is proposed, which takes advantage of LSTM network’s ability to deal with long-sequence prediction problems. Five characteristic gas concentrations are used as input to the model, and the hyper parameters of the model is optimized by Bayesian optimization algorithm to further improve prediction accuracy, then a LSTM prediction model is constructed. By case study, it is verified that the proposed model can precisely predict time series of dissolved gas content. Compared with gray model, BP neural network and support vector machine, the proposed model has higher prediction accuracy and can better track the trend of time series of dissolved gas content in oil.
A Cooperative Block-variant Monitoring Mechanism Based on Spectral Clustering for Internet of Things
Authors: Chen Jiaxi , Liu Xingchuan , Wu Jinyun , Ding Zhiqiang , Cui Yue , Yang Shuo 
Published: October 2020

Abstract
There exist two main defects in traditional monitoring systems: rigid monitoring intensities and fixed task roles, which induce low monitoring efficiencies and large power consumptions. To alleviate these two problems, this paper proposes a cooperative block-variant monitoring mechanism for Internet of Things. This mechanism divides the whole monitoring area into several blocks with different monitoring intensities according to the spatial distribution of monitoring terminals based on spectral clustering. The monitoring intensities, including monitoring densities and frequencies, are decided by the status of monitoring objects in different blocks and the values of pre-setting thresholds. By adjusting the monitoring densities and frequencies in real time, this method makes the monitoring focus on the most critical blocks, which improves the monitoring efficiencies and reduces the overall consumption of system. In addition, adequate switching of the task roles of nodes balances their workloads, and therefore extends the overall life of the monitoring systems. A large number of experiments have been carried out, and the results show that this collaborative monitoring mechanism achieves good performance.
Simulation Study on Propagation Characteristics of Optical Signal of Point Discharge in GIS
Authors: Chen Xiaoxin , Li Chen , He Wenlin , Hu Junhua , Yang Songwei 
Published: October 2020

Abstract
With the development of the power system, gas insulated switchgear (GIS) is a commonly used module in power system at present. However, in the process of design, manufacturing, transportation and installation, it is inevitable to have various failures, causing serious consequences. At present, partial discharge detection has become an effective way to judge whether failures exist in GIS, especially optical detection method which is developing rapidly. The process of partial discharge will be accompanied by the emission of light signals. By detecting the light signal emitted by the partial discharge, the occurrence of the partial discharge can be effectively detected. Therefore, the propagation characteristics of the optical signal generated by light in GIS will be studied in this paper, and study the relationship between the position of light and data by TracePro, providing a reference for the layout of optical sensors. It is of great significance to the effective detection of partial discharge.
Dynamic life cycle carbon and energy analysis for cross-laminated timber in the Southeastern United States
Authors: Lan Kai , Kelley Stephen S , Nepal Prakash , Yao Yuan 
Published: October 2020

AbstractLife cycle assessment (LCA) has been used to understand the carbon and energy implications of manufacturing and using cross-laminated timber (CLT), an emerging and sustainable alternative to concrete and steel. However, previous LCAs of CLT are static analyses without considering the complex interactions between the CLT manufacturing and forest systems, which are dynamic and largely affected by the variations in forest management, CLT manufacturing, and end-of-life options. This study fills this gap by developing a dynamic life-cycle modeling framework for a cradle-to-grave CLT manufacturing system across 100 years in the Southeastern United States. The framework integrates process-based simulations of CLT manufacturing and forest growth as well as Monte Carlo simulation to address uncertainty. On a 1-ha forest land basis, the net greenhouse gas (GHG) emissions range from −954 to −1445 metric tonne CO2eq. for a high forest productivity scenario compared to −609 to −919 metric tonne CO2eq. for a low forest productivity scenario. All scenarios showed significant GHG emissions from forest residues decay, demonstrating the strong needs to consider forest management and their dynamic impacts in LCAs of CLT or other durable wood products (DWP). The results show that using mill residues for energy recovery has lower fossil-based GHG (59%–61% reduction) than selling residues for producing DWP, but increases the net GHG emissions due to the instantaneous release of biogenic carbon in residues. In addition, the results were converted to a 1 m3basis with a cradle-to-gate system boundary to be compared with literature. The results, 113–375 kg CO2eq. m−3across all scenarios for fossil-based GHG emissions, were consistent with previous studies. Those findings highlight the needs of system-level management to maximize the potential benefits of CLT. This work is an attributional LCA, but the presented results lay a foundation for future consequential LCAs for specific CLT buildings or commercial forest management systems.
Spectral properties of spiral-shaped quantum waveguides
Authors: Exner Pavel , Tater Miloš 
Published: October 2020

Abstract
We investigate properties of a particle confined to a hard-wall spiral-shaped region. As a case study we analyze in detail the Archimedean spiral for which the spectrum above the continuum threshold is absolutely continuous away from the thresholds. The subtle difference between the radial and perpendicular width implies, however, that in contrast to the ‘less curved’ waveguides, the discrete spectrum is empty in this case. We also discuss modifications such as multi-arm Archimedean spirals and spiral waveguides with a central cavity; in the latter case bound state already exist if the cavity radius exceeds a critical size. For more general spiral regions the spectral nature depends on whether they are ‘expanding’ or ‘shrinking’. The most interesting situation occurs in the asymptotically Archimedean case where the existence of bound states depends on the direction from which the asymptotical value of width is reached.
Characterization pH, stability of emulsion, and viscosity canola oil (Brassicca napus L.) emulsion (O/W)
Authors: Putra A M , Syarifuddin A , Dirpan A 
Published: October 2020

Abstract
The aimed of this research was to determine the best oil in water emulsion as the main ingredient in the gel matrix. The experimental design of this study used a factorial completely randomized design with two factors. The factors were factor canola oil concentration using 30%(CO1), 40%(CO2), and factor xhantan gum concentration using 0.3%(XG1), 0.5%(XG2). The best emulsion formulation was selected based on functional properties such as pH, emulsion stability and viscosity. The result of research showed that the using of 40%(CO2) canola oil concentration and 0.5%(XG2) xhantan gum had the best oil in water (O/W) emulsion. This was indicated by the results of pH 6,5, the highest emulsion measurements (99.4%) and viscosity (22226 cP). canola oil concentration affects the pH value of the emulsion, the stability of the emulsion and viscosity are influenced by the concentration of xhantan gum and the concentration of canola oil. the higher the concentration of xhantan gum, the higher the stability of the emulsion and viscosity.
Analysis of Escherichia coli O157:H7 contamination in chicken meat sold in traditional markets in Makassar, Indonesia
Authors: Amalia A , Apada A M S , Ridwan R 
Published: October 2020

Abstract

Esherichia coli O157: H7 is one of the pathogenic strains of E. coli, which causes enterohaemorrhagic E. coli (EHEC) and appears as a major source of food outbreaks. This study aimed to determine the contamination of E. coli O157:H7 by culture methods, in broiler chicken meat sold in Traditional Market in Makassar. Twenty-four chicken meat samples were taken from four traditional markets. Isolation and identification of Escherichia coli were carried out by the conventional culture method using the Eosin Methylene Blue Agar, then the identification of the E. coli O157:H7 using the Sorbitol MacConkey Agar. Results showed that 15 of 24 chicken meat samples were contaminated with E. coli O157:H7. The poor personal hygiene of sellers and dirty market environments concerned with causing contamination in chicken meat sold in the four traditional markets.
Matoa pasteurized milk quality subjected to the different levels of alginate
Authors: Triana A , Maruddin F , Malaka R , Taufik M 
Published: October 2020

Abstract
The addition of alginate in pasteurized milk processing could improve the impact of using matoa leaf extract on pasteurized milk. Matoa leaf extract was acidic. The use of a certain amount of matoa leaf extract in the processing of milk pasteurization could affect the stability of the (colloidal) dispersion of the final product. Hence, alginate was known to have the ability to inhibit some pathogenic bacteria. The purpose of this study was to determine the level of alginate used in matoa pasteurized milk processing on the microbiological and physical quality of matoa pasteurized milk. The parameters measured were the inhibitory effect on Escherichia coli, organoleptic on viscosity, and preference of matoa pasteurized milk. This study used a completely random design. The treatment used was without the addition of alginate (0%) and the addition of 0.1%; 0.2% and 0.3% alginate. The results showed that the increasing use of alginate in matoa pasteurized milk showed an increase in the ability to inhibit E. coli and an increase in panelists’ assessment of viscosity, and changed the panelists’ preference for matoa pasteurized milk. The use of alginate levels between 0.1-0.2% in the processing of matoa pasteurized milk improved the quality of the final product.
The response of three cane varieties’ bud chips seedlings with mycorrhizae isolate
Authors: Musa Y , Mollah A , Sumiati  
Published: October 2020

Abstract
This study aimed to determine the effect of mycorrhizal utilization on the growth of sugar cane seedlings with bud chips system. The research was conducted in the form of a two-factor factorial experiment arranged based on a Randomized Group Design with 3 replications. The first factor was varieties with three levels namely Bulu Lawang, Kidang Kencana, and Camming while the second factor was mycorrhizae: Glomus sp 1, Acaulupora sp, and Glomus sp 2. The results showed that Kidang Kencana variety gave the highest average values in plant height and brix levels. Whereas Camming variety had the highest average value in stem diameter, root weight and root length. Glomus sp 1 mycorrhiza was a type that associated well in sugarcane compared to Acauluspora sp and Glomus sp 2. The combination of Camming variety and Glomus sp 2 mycorrhiza produced the highest average number of leaves at 2 weeks after planting (WAP).
Effect analysis of market segmentation on purchasing decisions local rice in modern market
Authors: Rukka R M , Amiruddin A , Tenriawaru A N , Muslimah C D 
Published: October 2020

Abstract
The background of this study discusses market segmentation of local rice purchasing decisions that have generally been bought by the public in traditional markets, but this time it was done in the modern market, simultaneously and partially and to study the most dominant variables. The approved independent variables are: geographical (X1), demographic (X2), psychographic (X3) and behavior (X4), with the dependent variable that is the purchasing decision (Y) on local rice in the modern market. To find out the large influence of the independent variable on the dependent variable, this study used a sample of 50 respondents of local rice consumers at the Modern Market of Carrefour Pengayoman in Makassar. While sampling uses the purposive sampling method. The analysis technique used in this study is multiple linear regression. The results of the SPSS test show that: (1) Market Segmentation determines simultaneously the purchasing decisions of local rice in the modern market significantly. (2) Market Segmentation partial decision on local rice purchasing decisions in the modern market, except demographic variables. (3) Behavior is the most dominant dominant variable in purchasing decisions. The company is expected to keep paying attention to demographic segmentation and find out other factors in increasing local rice.
A Review of the Combination of Lean and Green in manufacturing for Sustainable Development
Authors: Indah A B R , Nurwahidah Andi , Mangngenre S , Ikasari N , Afifudin M T 
Published: October 2020

Abstract
Lean and green are concepts that can not be separated from the business processes of a company, including in manufacturing. A company is easy to achieve but sometimes difficult to maintain it. Maintaining the achievements that have been achieved is a challenge for the company that must be faced. Sustainability is a concept that can help companies maintain their achievements. In this paper we focus on the combination of lean and green in manufacturing to achieve sustainability. Sustainability that is the focus of this paper is based on the triple bottom line, namely economic, environmental and social. Lean implementation is believed to increase the productivity of a company’s production system that can improve performance from an economic standpoint. While by applying green the company can achieve productivity in terms of environmental and social aspects. So that by synergizing these two concepts, the triple bottom line can be achieved in accordance with predetermined targets.
The handling strategy of environmental issues in Sumbawa Regency, Indonesia: a case study of Newmont Nusa Tenggara, Ltd.’s environmental sustainability program
Authors: Seftyana D A , Cangara A R , Darwis  , Baharuddin A , Marifat I D N 
Published: October 2020

Abstract
This research aims to portray the strategy of Newmont Nusa Tenggara, Ltd., as a multinational corporation, in handling environmental issues caused by its operational activities Western Sumbawa regency through its Environmental Sustainability Program (ESP). This research also aims to recognize the environmental damage arisen due to the operational activities of the corporation and the strategy Newmont Nusa Tenggara, Ltd. carried out to overcome the damage through its ESP. The discussion is focused on the damage of operational activities and its handling strategy in 2012. The finding of the research shows that operational activities carried out by Newmont Nusa Tenggara, Ltd. have had an impact on the soil structure and river water contamination, which further affected social security. Its effort in handling the damage through ESP focuses on the management of tailings waste, mining water, and forest reclamation. However, the program has not been maximized since the presence of sewerage pipes leading to the river, which is the source of community life, is still found and triggered societal protests that led to conflict.
Preservation of underwater cultural heritage: utilization of Lockheed P-38 lightning aircraft in Lae-Lae Island waters as a diving attraction
Authors: Makmur D S , Nur M , Muda K T 
Published: October 2020

Abstract
The preservation of Lockheed P-38 Lightning aircraft in the waters of Lae-Lae Island needs to be carried out optimally. It is necessary to encourage the preservation of covering aspects of the utilization of the Lockheed P-38 Lightning as a diving attraction. The diving attraction is one of the latest interests and is again favored by extreme explorers. The Community Empowerment Model for the preservation and utilization of the Lockheed p-38 aircraft as a diving attraction is one of the alternative approaches need to be developed to better accommodate the interests of local communities. Approaches that are oriented to local communities can be realized in two ways, namely a participatory approach and community empowerment. Utilization of the Lockheed P-38 lightning is a study that produces a reference or recommendation for use as a diving attraction.
Use of rice husk ash as natural inhibitors in reinforced concrete
Authors: Sultan M A , Gaus A , Abbas M Y H , Rakhman K A , Barmawi N 
Published: October 2020

Abstract
Infrastructure in the coastal area is mostly made of steel and reinforced concrete steel which is susceptible to corrosion due to direct contact with sea water and also climatic conditions. There are several ways that can slow down the rate of corrosion reaction, one of which is by adding certain substances that act as inhibitors of corrosion reactions. This study is to determine the effect of using Rice Husk Ash as a natural inhibitor to reinforcing reinforced concrete reinforcement. The inhibitors used were rice husk ash mixed with reinforced concrete mixture as much as 5% and 10%. This corrosion measurement by calculating the weight lost from the reinforcement (inhibition efficiency). From the experimental results show that the higher the concentration given the lower the corrosion rate, and the optimal conditions obtained the effect of the use of natural inhibitors (rice husk ash) to reinforcing steel corrosion on the addition of 10% inhibitor of rice husk ash ash by 96%.