bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on the Correlation between OBF and Age Based on Analysis of Time Domain and Frequency Domain
Authors: Yu Jintao , Han Xiaowei
Published: February 2021

Many studies indicate that the old people are prone to high blood pressure with the age growing. Elevated blood pressure can lead to the changes of hemodynamic parameters in the blood circulation system, and then cause abnormal changes in the physiological activities of the endothelium, heart and so on. These Characteristic of physiological rhythm reflect the changes of ocular blood pressure and ocular blood flow signals. Thus, we could study on the correlation between ocular blood flow (OBF) and age by analyzing the variety of age on hemodynamic. The paper sets out to fully examine the time domain and frequency domain relationship between OBF and age. Time domain: the paper introduces the thigh cuff method to produce sudden drops in arterial blood pressure (ABP) and study the evolution of the immediate OBF response with LSFG. The LSFG (Laser Speckle Flow graph) allows for quantitative estimation of blood flow in the optic nerve head (ONH), and it is the only noninvasive method that allows sufficient temporal resolution to measure these rapid changes. The paper studies on the relationship between time-domain parameter Kr(L) (The slope of DAR descending curve), Kr(R) (The slope of DAR up curve), Tr(L) (The amount of time it takes to the maximal BF or BP decrease), Tr(R) (The amount of time it takes to the maximal BF or BP increase) and age, respectively. Kr(R), Kr(R), Tr(R) are shown significantly influenced by age changing. Frequency domain: in the case of without any factor, the harmonic content of the envelope waveform of the blood flow velocity in the ophthalmic artery is analyzed in aging and OBF. Cronbach-α reliabilities of the calculated frequency coefficient (FC) and frequency index (FI) are 0.91 and 0.92, respectively. The FI of the ophthalmic artery allows an assessment of the ocular circulation in consideration of age and OBF. The order the age, the smaller the FC, FI in OBF.
Research on Consumer Initial Trust Model Based on Internet of Things
Authors: Wang Ai-Ling , Li Lei-ming , Xu Guo-ling
Published: February 2021

With the rapid development of the Internet, consumers are getting more and more diversified information and information channels. Information channel and information content play a vital role in the initial trust of consumers. On the basis of receiving a certain amount of information and information valence, consumers are influenced by information channels to generate corresponding perceived value, thus generating and establishing initial trust. When the information channel is the customer side, the interaction between information quantity and information valence has the strongest regulating effect on perceived value. When the information channel is an enterprise, information quantity and information interaction have the weakest regulating effect on perceived value.
A Study on Polymerization Depolymerization Process of Multi-resolution Simulation Model
Authors: Wang Yaqi , Chen Yukun , Qu Qingjun
Published: February 2021

The future warfare system will become more complex, and the battlefield posture will be diversified, multi-resolution modeling technology is an effective method to solve the complex system simulation. How to perform model aggregation and deconvolution to support multi-resolution modeling is a difficult and important research content. To address this problem, on the basis of elaborating the requirements of multi-resolution modeling for combat simulation, the specific process of the model aggregation and depolymerization method is studied, and the system process of model aggregation and depolymerization for multi-resolution simulation is determined.
An Application of Deep Learning in Remote Sensing: Automatic Change Detection in Urban Area
Authors: Yang Chun , Zhou Bowen
Published: February 2021

Change detection of earth’s appearance is a core task for urban management, whose main goal is to identify the change of physical materials via comparing remote sensed images (satellite images, aerial images etc.) of many time epochs. For instance, due to urbanization bare soil can be changed to building; river or lake can be filled up by soil for greening purpose. Recently, deep learning based methods for change detection have been widely applied. The standard pipeline here is: given two images of two epochs and the corresponding changed binary labels, they are feed into a deep learning model to learn the change incidents. However, this kind of change detection focuses solely separating change from no-change, yet ignores the information of “from-to”. For example, the change from soil to building is different to the change from water to soil, but in the standard pipeline they are taken as the same changed incident. In this paper, we propose a deep learning method to tackle this problem, i.e. not only detecting the change incidents, but also predict the change types (the “from-to” information). Our methods are evaluated on the competition dataset released by the SenseTime, and achieve promising detection results i.e. >70% in terms of OA.
Auto Whole Heart Segmentation from CT images Using an Improved Unet-GAN
Authors: Le Kening , Lou Zeyu , Huo Weiliang , Tian Xiaolin
Published: February 2021

The development of deep learning is rapid, and convolutional neural network especially U-Net plays an important role in the medical image segmentation tasks, which is lack of data. Lots of models and methods are proposed to segment cardiac CT images. In this paper, we proposed a new network architecture. The network architecture is based on a traditional architecture called conditional generative adversarial network (cGAN), where R2U-Net acts as the generative network and FCN as the discriminative network. The performance of this model running on the dataset from MICCAI 2017 Multi-Modality Whole Heart Segmentation Challenge (MM-WHS 2017) is good.
Study on Improved YOLO_v3-based Algorithm for Identifying Open Windows on Building Facades
Authors: Sun Guangmin , Lin Pengfei , Li Yu
Published: February 2021

In order to ensure the security of building facades in key areas and improve the security detection efficiency of security personnel on building facades, this paper proposes an improved YOLO v3-based algorithm for open window detection recognition in building facade images, which extracts open window features from images to make predictions on full images by convolutional neural network. Firstly, due to the absence of publicly available window datasets in the network and the high number of window types that exist in reality, a self-constructed window dataset containing 13573images of open windows is used to train and test the window detection model. The data set is then clustered by the K-Means clustering algorithm to select an Anchor Box more suitable for window detection, which draws on the ShuffleNet idea to strengthen the feature extraction method, and then optimizes the network structure of YOLO v3. Finally, a block detection mechanism is introduced to effectively enhance the network’s ability to detect small dense targets; experimental results show that the method improves the accuracy and speed of window detection and reduces the workload of security personnel in key areas to manually check for windows on both sides of the street. Fire detection, missing and falling bricks on the floor, and overhead throw detectionare of great importance.
Empirical Research on the Quality of Environmental Accounting Information Disclosure based on SPSS
Authors: Lin Huijuan , Zhang Yan , Liu Xueying
Published: February 2021

In the era of big data, data is undergoing rapid expansion, determining future corporate development. Although many enterprises may not realize the hidden dangers of the explosive data growth, people will become increasingly aware of the importance of data to enterprises. Faced with excessive data, how to disclose accounting information is an issue worth studying. Survival and development of energy industry as a key emerging industry in the country are inextricably linked with natural resources and ecological environment. Appearance of environmental accounting can greatly alleviate a series of environmental problems caused by the development of energy industry. Disclosure of environmental accounting information is a must task to prevent and manage complex environmental problems in society. However, there are still many loopholes in the development of environmental accounting information disclosure in China: the government lacks targeted standards and regulations; companies face no mandatory system requirements for environmental information disclosure, lack the initiative to disclose relevant information, and the disclosure form and content also lack standardization. With the listed energy companies in Guangdong Province as the research objects, this paper selects 19 listed companies from CNINFO that meet the conditions of listing on the Shenzhen Stock Exchange or the Shanghai Stock Exchange with A-share stocks. The four-year data of 2015-2018 is taken as a sample size to analyze the status of environmental accounting information disclosure, the content and method of disclosure, and the quality of disclosure. SPSS is taken to perform descriptive analysis, multiple linear regression analysis and other empirical analysis on the data, and the analysis results are summarized. It can be seen from empirical analysis that the four factors including the proportion of tradable shares, the proportion of independent directors, ISO environmental certification and government environmental protection subsidies, have the most significant impact on the quality of environmental accounting information disclosure of listed energy companies in Guangdong. Where, government environmental protection subsidies have the greatest impact on enterprises’ environmental accounting information disclosure. Finally, referring to the experience of environmental accounting information disclosure in other countries, this paper believes that China should improve relevant regulations and standards for environmental accounting information disclosure, while strengthening internal and external supervision of enterprises to promote the development of environmental accounting, thereby contributing to the goal of socialism with Chinese characteristics: development of circular economy, development of resource economizing type, environment-friendly low-carbon economy and society.
Research on Prediction of the Cash Usage in Banks Based on LSTM of Improved Grey Wolf Optimizer
Authors: Rong Jingfeng , Wang Di
Published: February 2021

In the real production and operation, it is impossible to predict the amount of cash in daily use. Therefore, the prediction model of improved LSTM neural network is proposed to cope with the problem for preparing excessive cash. Hence, the improved Grey Wolf Optimizer is most effective in searching for the optimal solution by optimizing the impact factors of Grey Wolf Optimizer. Combining the improved Grey Wolf Optimizer with LSTM neural network, the neural networking learning rate parameters are set reasonably by optimizing the algorithm to reduce the impact of inappropriate parameters on the prediction results of either over-fitting or under-fitting. What’s more, the neural network topological structure, weighing the number of LSTM network layers and the number of the neural units in each layer, determines the neural network’s description of data. If the network topology is too simple, the prediction results may not be enough to describe the real data. However, if it is too complex, it will not only waste the computing resources, but also make the prediction results over-fitting with only good description of training data. Therefore, it avoids the problem of large errors in predicting results caused by the parameters of neural network and realizes the prediction the daily cash usage. Finally, the test is completed on the data of a sub-branch network of bank with mean square error (MSE) 0.016. Compared with the traditional time series model ARAM and the unimproved LSTM, the improved LSTM predicts cash usage more accurately and efficiently.
Research on the Cave Exploration Technology of Overhead Transmission Line Tower Foundation
Authors: Wang Huaan , Xiao Bo , Zeng Liang , Chu Taoyu , Lian Xiaocong
Published: February 2021

Overhead transmission lines are the main form of high-voltage and UHV long-distance transmission. When the line path passes through limestone areas, mining areas and others, the possible existence of karst caves and mined-out areas under the tower base will have a greater impact on the stability of the foundation. According to previous detection experience, different underground cave forms and detection requirements need to choose suitable detection technology to obtain better detection results. This paper will explain the different detection technologies, combine multiple overhead line engineering practices, study the detection technology of underground caves, and guide the subsequent exploration of the tower foundation underground caves. Finally, carry out three-dimensional geological modeling of the exploration data, and study the application of three-dimensional data processing and display technology in the exploration of the line tower base cave. Through the above summary, analysis and experimental research, a complete set of technical solutions for the exploration of tower foundation caves on overhead transmission lines has been completed, laying the foundation for the further development of subsequent detection technologies.
Tandem Prediction Research on LSTM-DT
Authors: Wang Min , Liu Xin
Published: February 2021

In order to effectively avoid the problem of bus tandem, the factors and prediction model of bus tandem based on multi-source data are studied. Due to the problems of complex attributes and low prediction accuracy, this paper presents a prediction method based on long short time memory and decision tree (LSTM-DT). Based on the existing historical GPS data, a variety of input data schemes are formed by different combinations of static spatial data and dynamic spatial data. In the process of tandem prediction, the long short time memory (LSTM) model is used to predict the time series characteristics of stations with different intervals, and the attribute and weight are adjusted by combining with decision tree. Through the LSTM-DT model, it gives the comparison of the tandem prediction in different time periods and different station intervals. The experimental results show that the LSTM-DT prediction model has better generalization ability than the traditional model in the case of more input factors, and has higher prediction accuracy for the tandem at a certain interval.
Research on Zero-trust Security Protection Technology of Power IoT based on Blockchain
Authors: Chen Zhiyu , Yan Longchuan , Lü Zitong , Zhang Yanling , Guo Yonghe , Liu Wenjing , Xuan Jiaxing
Published: February 2021

With the access of massive terminals in the power Internet of things (IoT), the efficiency of information sharing is improved, but the grid boundary is increasingly blurred. The traditional centralized security management mode is facing a severe security situation, which is difficult to meet the high security requirements of the system operation. There are three main risks: 1) the execution authority of control information is not strictly controlled at the equipment level; 2) Data and authority are not separated, which makes the security management of data layer have hidden dangers; 3) Power supply chain is faced with the problems of data island, data trust and performance guarantee. Based on the characteristics of blockchain technology (BcT), such as non-tampering, collective maintenance and transaction non repudiation, this paper constructs a data protection architecture covering device layer, data layer and business layer, realizes high-level security protection of data flow in all links of power network, and improves the security management and control ability of the system. Through the scheme proposed in this paper, the implementation of control information is strictly managed, the use rights management of data is more standardized, and the credibility and interaction rate of business data are greatly improved.
Bisection of Hamilton Plane Graphs under Girth Constraints
Authors: Chen Tao
Published: February 2021

A bisection of a graphGis a bipartitionV1andV2 ofV(G) such that ‖V1| – |V2‖ ≤ 1. The minimum bisection problem asks for a bisection minimizinge(V1,V2), wheree(V1,V2) is the number of edges joiningV1andV2. In this paper, we prove that every Hamilton plane graphGwith girth at least 4, |V(G)|=n, admits a bisectionV1,V2such thate(V1,V2)≤n2+1.
Research Status and Method of Aviation Sensor Performance Evaluation
Authors: Hua Hongyan , Zhang Zhen , Feng Huachen
Published: February 2021

Aviation sensor is an important guarantee for aircraft safety flight, ground test and flight test accuracy and reliability. In this paper, through the analysis of the problems existing in the actual working environment of aviation sensors, the necessity of evaluating the performance of aviation sensors in the actual working environment is clarified. Combined with the comparison of the research status of the performance evaluation methods of aviation sensors at home and abroad, the development direction of the performance evaluation research of aviation sensors in the actual working environment in the future is proposed.
Research on Evaluation Model of Regional Financial Science and Technology Development Based on Local Variable Weight
Authors: Xie Zongju , Chen Yongquan , Yu Bei , Wu Li , Chen Sian , Li Yutian
Published: February 2021

With the development of financial science and technology, how to accurately evaluate the development level of regional financial science and technology has become particularly important. This paper first establishes the evaluation index system of regional financial science and technology development, which is composed of six first-class indicators and fourteen second-class indicators, which comes from the identification of influencing factors of financial science and technology development. Then, based on the idea of local variable weight, a comprehensive evaluation method of regional financial science and technology based on local variable weight is designed, and the scientificity and feasibility of the method are verified by data. The local variable weight comprehensive evaluation method can realize the objective and flexible weight setting, and the future research can do more in-depth research on parameter optimization and vector pattern construction.
Image Denoising Based on Adaptive Sector Rotation Median Filter
Authors: Wang Yuan-Bin , Huang Hai-Long
Published: February 2021

By analyzing the characteristics of different median filtering algorithms, an adaptive fan rotation median filtering method based on the standard median filtering method is proposed to restore the details of the image to the maximum extent for achieving better pepper and salt noise removal effect. The proposed method can change the window size adaptively according to the pollution degree in the window, and calculate the gray difference value for different areas, judge the correlation between the center point and different areas according to the gray difference value, and take the median value of the highest correlation area as output, which can restore the details of the image while removing the noise. The experimental results show that the new algorithm has a high similarity with the original image structure and a high peak signal-to-noise ratio after filtering, and can better recover the image details. Compared with other methods, the noise removal effect and detail recovery effect are better.
Research on Optimized Storage and Analysis System of Web Log Based on Django’s MVC Framework
Authors: Tian Huan , Zhao Jing , Shen Jiaqi
Published: February 2021

Association rule analysis algorithm is widely used in Web log analysis, but the existing association rule analysis algorithm will significantly reduce the analysis and mining performance when the amount of Web log is relatively large. This paper proposes an improved clustering algorithm, which first clusters users with the same interests and hobbies, and then mines association rules for users in the same category, thereby reducing data dispersion. Based on Django’s MVC framework, it optimizes the storage and storage of Web logs. In the analysis part, users can configure the support and confidence of association rule mining through the front-end, and at the same time query the results of mining through Hive, and use encryption algorithms in the data transmission process to ensure data security.
Natural products based nanoformulations for cancer treatment: current evolution in Indian research
Authors: Kundu Moumita , Majumder Ranabir , Das Chandan Kanta , Mandal Mahitosh
Published: February 2021

The use of medicinal plants is as ancient as human civilization. The development of phytochemistry and pharmacology facilitates the identification of natural bioactive compounds and their mechanisms of action, including against cancer. The efficacy and the safety of a bioactive compound depend on its optimal delivery to the target site. Most natural bioactive compounds (phenols, flavonoids, tannins, etc) are unable to reach their target sites due to their low water solubility, less cellular absorption, and high molecular weight, leading to their failure into clinical translation. Therefore, many scientific studies are going on to overcome the drawbacks of natural products for clinical applications. Several studies in India, as well as worldwide, have proposed the development of natural products-based nanoformulations to increase their efficacy and safety profile for cancer therapy by improving the delivery of natural bioactive compounds to their target site. Therefore, we are trying to discuss the development of natural products-based nanoformulations in India to improve the efficacy and safety of natural bioactive compounds against cancer.
Up in smoke: characterizing the population exposed to flaring from unconventional oil and gas development in the contiguous US
Authors: Cushing Lara J , Chau Khang , Franklin Meredith , Johnston Jill E
Published: February 2021

Due to advances in unconventional extraction techniques, the rate of fossil fuel production in the United States (US) is higher than ever before. The disposal of waste gas via intentional combustion (flaring) from unconventional oil and gas (UOG) development has also been on the rise, and may expose nearby residents to toxic air pollutants, light pollution and noise. However, little data exists on the extent of flaring in the US or the number of people living near UOG flaring activity. Utilizing nightly sattelite observations of flaring from the Visible Infrared Imaging Radiometer Suite Nightfire product, 2010 Census data and a dataset of remotely sensed building footprints, we applied a dasymetric mapping approach to estimate the number of nightly flare events across all oil shale plays in the contiguous US between March 2012 and February 2020 and characterize the populations residing within 3 km, 5 km and 10 km of UOG flares in terms of age, race and ethnicity. We found that three basins accounted for over 83% of all UOG flaring activity in the contiguous US over the 8 year study period. We estimated that over half a million people in these basins reside within 5 km of a flare, and 39% of them lived near more than 100 nightly flares. Black, indigenous, and people of color were disproportionately exposed to flaring.
A new link between El Niño—Southern Oscillation and atmospheric electricity
Authors: Slyunyaev N N , Ilin N V , Mareev E A , Price C G
Published: February 2021

The global electric circuit (GEC) is a unique atmospheric system driven by the global distribution of thunderstorms and electrified shower clouds. The GEC unites electric fields and currents in the entire atmosphere and is characterized by the permanent production and dissipation of huge amounts of electrical energy. In this study, aimed at investigating the links between the GEC and El Niño—Southern Oscillation (ENSO), the GEC variability during 2008–2018 is simulated on the basis of reanalysis meteorological data using the Weather Research and Forecasting model and a parameterization of the ionospheric potential (IP), which is a natural measure of the GEC intensity. Modelling shows that strong El Niño and La Niña events influence the global distribution of electrified clouds over the Earth’s surface, thereby consistently affecting the shape of the diurnal variation of the GEC. Further analysis shows that anomalies in the Niño 3.4 sea surface temperature, which characterize the ENSO phase, and anomalies in the relative IP are positively correlated at 9:00–15:00 UTC and negatively correlated at 18:00–23:00 UTC. This correspondence between ENSO and the GEC is most prominent at 13:00 UTC and 21:00 UTC, and most pronounced anomalies in the relative IP around these hours are precisely associated with strong El Niño and La Niña events. In particular, during strong El Niños the relative IP is larger than usual around 13:00 UTC and smaller than usual around 21:00 UTC, whereas during strong La Niñas it behaves oppositely.
Coupled Susy, pseudo-bosons and a deformed

su(1,1)

Lie algebra
Authors: Bagarello F
Published: February 2021

In a recent paper a pair of operators a and b satisfying the equations a
†
a = bb
† + γ

1

and aa
† = b
†
b + δ

1

, has been considered, and their nature of ladder operators has been deduced and analyzed. Here, motivated by the spreading interest in non self-adjoint operators in quantum mechanics, we extend this situation to a set of four operators, c, d, r and s, satisfying dc = rs + γ

1

and cd = sr + δ

1

, and we show that they are also ladder operators. We show their connection with biorthogonal families of vectors and with the so-called

D

-pseudo bosons. Some examples are discussed.
Retraction: Energy storage and dissipation characteristics of red sandstone in triaxial compression tests under constant confining pressure
(IOP Conf. Ser.: Earth Environ. Sci.
570 032053)
Authors: Li Liuliu , Gong Fengqiang
Published: February 2021

This paper has been retracted by IOP Publishing as it does not meet the terms of the IOP Proceedings Licence.

Retraction published: 23 February 2021
Cactus opuntia as coagulant in treating landfill leachate via coagulation process
Authors: Zainol N A , Syarmimi F N , Zailani S N , Yusoff N A , Ghani A A , Ahmad Sohaimi K S
Published: February 2021

Coagulation-flocculation treatment is often used for the treatment of stabilized landfill leachate. However, uses a non-environmentally friendly chemical coagulant which is a threat to environment quality, therefore Cactus opuntia is proposed to replace the use of current chemical coagulants such as aluminium sulphate in order to achieve sustainable growth. In this regard, the comparative suitability of Cactus opuntia and alum as coagulants for the treatment of the stabilised leachate of the Padang Siding Landfill Site was evaluated via a series of Jar Test experimental works with a rapid mixing speed of 100 rpm for 3 minutes, a slow mixing speed of 30 rpm for 10 minutes and a set-up period of 30 minutes. In addition, the sludge volume index (SVI) of the treated leachate sample was calculated under optimised conditions. Cactus opuntia was able to remove 66.8 per cent turbidity and 42 per cent COD at optimal pH 2 with a favourable dose of 8000 mg / L, while the optimal pH 5 with a coagulant dose of 8000 mg / L induced 94.5 per cent turbidity and 69 per cent COD reduction from the same leachate sample. In addition, the SVI of alum coagulant was 42.2 while the Cactus opuntia was 4.45 with a relative ratio of alum to opuntia of 9:1. Cactus opuntia may also be proposed as a plentiful coagulant of metal cationic ions such as aluminium, iron and silica elements for the treatment of leachate.
Assessment of water quality and heavy metals in Semenyih River
Authors: Kasmuri N , Mohamad N F S , Jamil S S M , Ahmad R , Santiagoo R , Ramasamy S
Published: February 2021

Semenyih River has been considered one of Malaysia’s most important rivers, particularly in the Selangor Region. This river has been the primary water supply for Putrajaya’s domestic and industrial activities in Sepang and Hulu Langat District. However, due to the rapid development near the Semenyih River, this stream’s quality has been heavily affected. Therefore, this research aimed to determine the Water Quality Index (WQI) and heavy metals concentration in the upstream, middle stream, and downstream of the Semenyih River. The upstream is located at Pening River Village, the middle stream situated at Semenyih Town, and downstream located at Buah River Village. The WQI set by the Department of Environmental Malaysia (DOE) has been used to classify Semenyih River. In-situ and laboratory tests were done in quantifying the WQI. Heavy metals concentration such as chromium, iron, manganese, zinc, and lead were tested for the river samples. From the results obtained, all intake points had fallen into Class III, in which extensive treatment is needed for water supply. Meanwhile, for heavy metals, the downstream sample had shown the highest concentration of heavy metals compared to the upstream and middle stream. Thus, the Semenyih River’s rehabilitation is urgently required to reduce the pollution in preserving the water supply in the Selangor region.
Water quality status of Sungai Petani River, Kedah, Malaysia
Authors: Hashem Ala Omar Abdulrazzaq , Ahmad Wan Amiza Amneera Wan , Yusuf Sara Yasina
Published: February 2021

Water is one of crucial natural sources for all livings. However, as the burgeoning population growth and excessive development, the quality of water is deteriorated. Hence, assessing the quality of river water is pivotal not only for determining water quality condition but also identifying polluted areas. This study was conducted to determine water quality status of Sungai Petani River located in Kedah, Malaysia involving three sampling stations (S1, S2 and S3). Six water quality parameters were determined following APHA standard method. The results then assessed following Water Quality Index (WQI) assessment and evaluated based on National Water Quality Standards (NWQS) for Malaysia. Both dry and wet seasons shows increasing index value. In wet season the results were 51.33, 73.06 and 74.76 for S1, S2 and S3 respectively while for dry season index value of 47.97, 58.04 and 69.60 for S1, S2 and S3. Increasing index value from upstream to downstream (S1 to S3) indicates the water quality status was from polluted to slightly polluted (S1 to S3) due to pollutant load from nearby activities. The overall classification for the river water was in class III, the uses for this classification water are water supply with the need for an extensive water treatment and fishery and livestock drinking.
Development of rainfall-runoff modelling using the HEC-HMS at the catchment of Kelantan River, Malaysia
Authors: Armain M Z S , Hassan Z , Mohd Remy Rozainy M A Z , Harun S , Azam N S , Mahyun A W , Salwa M Z M , Kamarudzaman A N , Seman N A
Published: February 2021

The simulation of rainfall-runoff is important to be analysed at the Kelantan River catchment as flood is one of the common natural disasters in Kelantan. Sustainable water management in this region is only feasible following the availability of reliable information on the rainfall-runoff and other hydrological determinants that affect the water system. This study aims to evaluate the effects of extreme rainfall on the runoff at the catchment of the Kelantan River where recurrent floods have been occurring since 1988 to 2019. The study employs the remote sensing and geographic information system (GIS) integrated with the Hydrologic Engineering Center–Hydrologic Modelling Systems (HEC-HMS) to delineate the catchment line and simulate the river discharge. The observed discharge is used during the calibration and validation process to evaluate the performance of the integrated model. The model performed satisfactorily by obtained R2 with the range of 0.80-0.97 and 0.64-0.93 in each sub-catchment during the calibration and validation period. The finding indicates that the developed HEC-HMS model has the ability to simulate event-based runoff.
Comparison between activated carbon and sand filtration method for water quality enhancement: A case study
Authors: Chan M R A A , Kasmuri N , Ahmad R , Santiagoo R , Ramasamy S
Published: February 2021

Urbanization is regarded as the development of a country, and this process brings modernization of society with a positive impact. Nowadays, housing developments need to include green spaces towards a sustainable lifestyle. Thus, some of the developers choose to build projects near the existing recreational area or surface water environments. Hence, the transformation and expansion of residential and economic activities near waterbodies such as lakes and rivers have lowered the quality of this surface water system. Moreover, severe environmental pollution has been worsened especially in surface water located in urban areas. This study aims to determine the water quality status of Metropolitan Lake, Kuala Lumpur before and after the treatment of activated carbon and sand filtration method. Here, physical and chemical characteristics were conducted for in-situ and laboratory analysis. Temperature, pH, dissolved oxygen (DO), total dissolved solids (TDS) and turbidity of water samples were taken in-situ. Meanwhile, parameters of biochemical oxygen demand (BOD), chemical oxygen demand (COD), turbidity, total suspended solids (TSS), ammonia nitrogen (NH3-N) were determined in the laboratory. Before the treatment process, the classification of water quality index (WQI) for the sample of Metropolitan Lake, Kuala Lumpur was in class IV. However, after the two treatments of activated carbon and sand filtration, the water class of WQI has improved to class II. Thus, it is important to enhance the water quality through pre-treatment on the surface water system as this source of water is vital for water security and ecosystem surroundings.
Enhancement of water quality using natural coagulant in Shah Alam Lakes, Malaysia
Authors: Hassan R A , Kasmuri N , Ahmad R , Santiagoo R , Ramasamy S
Published: February 2021

Drinking water shortage has become a significant problem in urban areas due to the growth of population and high economic activities. It is known that Shah Alam is the city and the state of Selangor, Malaysia. This city has the most manufacturing sector and services with a huge number of inhabitants. Thus, this urban area needs to have sufficient clean water supply. However, the raw water needs to undergo several water treatments processes before it can safely distribute to the residents. This untreated water from incoming surface waters contains suspended particles that need to go through the water treatment process, and most importantly, the coagulation and flocculation process. Normally, aluminum sulfate (alum) or polymer were added as the coagulant for the treatment of untreated water. However, due to health concerns, natural coagulants have been preferred to replace the conventional method. This natural coagulant is environmentally friendly and has no side effects if being consumed. This research aims to investigate the optimum condition of natural coagulant (Moringa oleifera) for the treatment of surface water from Shah Alam Lakes in Selangor Region, Malaysia. These lakes can be a potential source of water if water shortage occurs. At first, the characteristics of the water samples were determined. Later, the sample of surface water from the lakes was examined with the jar test for the coagulation-flocculation process using Moringa oleifera with different concentrations. The water quality parameters such as pH, turbidity, suspended solids, phosphorus and chemical oxygen demand were evaluated. From the results obtained, Moringa oleifera can be considered as suitable alternatives to replace chemical coagulants for a sustainable water treatment system.
Biocompatibility of Hydroxyapatite (HAp) derived from clamshell as active ingredients in sunscreen product
Authors: Ghazali Saidatul Radhiah , Rosli Nur Hidayah , Hassan Lili Shakirah , Helmi Rozaini Mohd Zul , Hamzah Habibah
Published: February 2021

Commercially, Avobenzone and Oxybenzone act as absorber of UVA and UVB while titanium dioxide (TiO2) and zinc oxide (ZnO) are the physical “blockers” of UV radiation in sunscreen formulation. These active ingredients are known to cause photo-allergic reactions, while others are suspected as estrogen disrupters. Due to this concern, hydroxyapatite (HAp) is derived from clam shell in order to replace Avobenzone and Oxybenzone as organic component in UV absorber. The HAp has arisen as potential candidates to replace synthetic chemicals in sunscreens due to its properties that contain calcium, phosphate, chitin and protein that gives a great result in absorbing UV light. HAp is added into emulsion of sunscreen lotion and analyzed using thermal, spectroscopy and skin analysis in order to determine the potential results. The use of this biomaterial namely HAp is an alternative for the safe, organic, less chemical and good cosmetic product.
Relationship between WQI, heavy metal and sedimentation in Sg Kenau, Kuantan, Pahang using WQ-HeMeS Model
Authors: Nadiatul Adilah A A G , Aisyah Z Siti , Ramadhansyah P J , Noram Irwan R , Mahyun A W
Published: February 2021

The purpose of this study is to investigate the relationship between water quality of river with heavy metal and sediment content in Sungai Kenau at Pahang using new developed model named WQ-HeMeS. Through this study, water quality has been analysed by using Water Quality Index (WQI) & National Water Quality Standard for Malaysia (NWQS). Water quality of river in Sungai Kenau have been observed by several test which are Dissolve Oxygen, Biochemical Oxygen Demand, Chemical Oxygen Demand, Ammoniacal Nitrogen, Total Suspended Solid, Phosphorus and Nitrogen as Nitrate. Meanwhile, the sedimentation rate was determine using Schoklistch method and Duboy method. There are 2 condition for heavy metal considered in the analysis which are heavy metal in water and heavy metal in sediment. Heavy metal in water was tested using laboratory tools named as Atomic Absorption Spectroscopy (AAS) while heavy metal in sediment have been determined by Inductively Coupled Plasma Mass Spectrometry (ICP-MS). The classification of heavy metal in water have been done based on NWQS meanwhile heavy metal in sediment were observed based on Index of Geo-Accumulation and Metal Contamination Factor. After collecting all result from lab testing, the the relationship of water quality, sedimentation rate and heavy metal rate both in water and sediment was determine using generated model. Based on Malaysia WQI Standard, the result shown that water in Sungai Kenau is classified as Class I which means as for water supply, there are no treatment is necessary.
Identification of underground river with microtremor method in Dersono karst area, Pacitan
Authors: Bahri A S , Abdullah M I U S , Aliyan S A , Purwanto M S , Widodo A , Hilyah A , Fajar M H M , Hardyani P V , Sunardi  , Alita E W , Rahmat M , Nurfitriana I
Published: February 2021

Many islands in Indonesia are formed due to the lifting of the seafloor which forms limestone lithology and forms karst morphology. The karst region has a large freshwater potential that accumulates in the underground river system. The existence of an underground river system as a water reservoir is very important in fulfilling the needs of the community, especially in island countries such as Indonesia that have many karst regions. Research to map the position and distribution of underground rivers is carried out by applying geophysical methods. One of the geophysical methods applied is the microtremor method. The working principle of this method is the identification of underground rivers based on Particle Motion method and Time Frequency Analysis (TFA). That analysis resulted in the particles movement direction that perpendicular to the vibration source which is identified as the underground river. The existence of the underground river is then validated based on the TFA parameters of the underground river karst region. The results of the Particle Motion analysis at the research location show the character of the river flow pattern that has a Northeast-Southwestern orientation, and based on TFA there is amplitude continuity in the river flowed area with a frequency range of 4 - 5 Hz and an amplitude of 2,000 dB – 20,000 dB on component Z (vertical).
Laminated mahogany and teak wood as construction materials for fishing vessels
Authors: Wahidi S I , Pribadi T W , Arif M S , Raharja G B
Published: February 2021

The significant increase of Teak wood price causes the high price of fishing vessels made from intact Teak wood so that it is necessary to replace the Teak wood as the main material in fishing vessels. The traditional construction of fishing vessels has negative impact such as decreasing quality of the material due to heat treatment of wood, so that laminated wood technology with cold treatment is one solution to maintain and strengthen wood material. Mahogany wood is one of the woods that can be used as an alternative material for fishing vessels according to the Indonesian Classification Bureau, but some people assume that Mahogany is not suitable as an alternative for Teak wood due to differences in the durability of wood in seawater, so the research will be conducted on lamination of Mahogany and Teak as a material to build fishing vessel. This study carried out tensile and bending tests in accordance with ASTM standards for laminated material. Based on the results of test, the laminated material of Mahogany and Teak has an average tensile strength of 96.56 MPa, bending strength of 72.38 MPa and specific gravity of 0.82 gr/cm2. According to the regulations of the Indonesian Classification Bureau the laminate material of Mahogany and Teak meets minimum tensile strength and bending strength, equivalent with Strength Group II-III and can be used for the entire construction section of the fishing vessel. From the economic aspect it is estimated that the cost to build a 3 GT fishing vessel around IDR 44,927,656 (USD 3,160).
Impact of rice-biased policy on local food system in Kepulauan Tanimbar District, Maluku Province, Indonesia
Authors: Nurfitriani N , Hindersah R
Published: February 2021

In Kepulauan Tanimbar District of Maluku Province, various local food is being replaced by rice which impact on change in food consumption pattern from local food to rice. A study in Latdalam Village, Kandar Village, and Saumlaki City have been carried out to assess whether rice-biased policy has an impact on the Kepulauan Tanimbar community, specifically explored on the effect to local food system. The method of the study was qualitative within case study design supported by primary and secondary data. This study found that the policy not only affect change in food consumption pattern but also threaten the existence of a local food system in Kepulauan Tanimbar community. They no longer depend on their local food system and fulfill food supply from other regions instead.
Optimization of Kappaphycus alvarezii seaweed seeding system by aquaculture
Authors: Rahayu D S , Koentjoro M P , Isdiantoni  , Ekawati I , Prasetyo E N
Published: February 2021

Kappaphycus alvarezii is the main commodity of the cultivation in Madura-East Java. The preparation of qualified seeds of seaweed is one of the efforts in increasing its production. Conventional method of water nursery that has been carried out has several weaknesses, which are susceptible to pest and fluctuationg climate. The application of aquaculture method is one of the main ways to improve the quality and quantity of seaweed seeds through nutrient enrichment and the optimization of environmental factors measured in seawater as media. Therefore, in this research, the media optimization of K. alvarezii seaweed seeding was carried out by aquaculture. The condition in optimizing seaweed seeding was determined by setting the culture condition according to the environmental parameters where seaweed was taken. The method used in this study was TMAMQ test to measure the antioxidant capacity, the total of phenol, biomass and TPC test. This result of this research was obtained through morphological observation of seaweed growth with the provision of a recirculation system, 0.05M urea and UV-filter showed the most excellent performance observed from the number of talus growth, in addition, UV-filter could help it inhibit the growth of microbes that were proven through total colony test in the medium of seawater after entering UV, it did not show microbial growth.
Psychological preparedness for disaster of coastal communities: a systematic review
Authors: Palupi L S
Published: February 2021

Indonesia has experienced numerous disasters for the past five years. Disasters not only happen in the urban area and rural area but also in the coastal area. Coastal communities are prone to a natural disaster such as tsunami. The tsunami not only causing infrastructure damage but also physical and psychological damage to the victims. Psychological preparedness could help to reduce the risk of the devastating impact of a disaster. However, there is not much research that investigates the topic. Aim of this study was to conduct a systematic review of articles that discuss about psychological preparedness for disaster of coastal communities. The research was done using meta-analysis method to assess studies that discuss about psychological preparedness for disaster of coastal communities. It is tried to identify the psychological preparedness for disaster of coastal community construct that existed and the measurement tools that were used. It is found that psychological preparedness for disaster of coastal communities was a construct that were not clearly defined. However, several researchers had tried to develop a tool to measure psychological preparedness for disaster in general. However, there are no study that is contextually bound to coastal communities.
Psychological wellbeing of coastal communities in Surabaya: a preliminary study
Authors: Palupi L S
Published: February 2021

Happiness is the term that are linked with psychological wellbeing that were also associated with quality of life. The united nation includes wellbeing as one of the goals that are stated in its sustainable development goals (SDG). The SDGs were goals that are provided by the UN as a shared blue print for the country members to attain the goals in order to generate peace and prosperity for people and the planet, now and in the future. There is a need to set a strategy to attain the SDGs which one of it is to improve a person wellbeing. Therefore, aim of this study is to identify psychological wellbeing of the coastal communities in Surabaya that will become the basis of strategies to improve a person psychological wellbeing especially in the context of coastal communities.
Hydro-oceanographic mapping to support coastal eco-tourism activities in Bawean Island, East Java
Authors: Armono H D , Sujantoko  , Hidayah Z , Nuzula N I
Published: February 2021

Bawean is a small island located around 80 miles north of Gresik, East Java Province, Indonesia. In the recent years, the island is renowned as a new destination for marine and coastal eco-tourism. Sustainable eco-tourism management in a small island is a very important concept not only for increasing income of local people but also in protecting the island itself from environmental degradation due to natural and anthropogenic factors. This paper discusses the methodology of mapping the hydro-oceanographic condition of Bawean Island. In this respect a methodology to analyze the suitability of the island and formulate strategies towards sustainable management of Bawean Island as a coastal eco-tourism destination will also be discussed.