bluuebunny/crossref_metadata_2025 huggingface dataset:
Thermodynamic temperature measurements of Al–Cu, Al, Ag, Cu and Co–C fixed points by radiometry hybrid method
Authors: Zhang T , Lu X , Dong W
Published: June 2023

The radiometry hybrid method, by introducing a lens to the irradiance method with a 900 nm filter radiometer, was adopted to measure the thermodynamic temperature of the aluminum-copper (Al–Cu) eutectic point, aluminum (Al) freezing point, silver (Ag) freezing point, copper (Cu) freezing point and cobalt carbon (Co–C) eutectic point at the National Institute of Metrology, China. By scanning the uniformity of fixed-point blackbodies, the effective diameters were accurately estimated according to the size of the source effect (SSE). The lens transmittance measurement with the closest diameter aperture was adjusted to reduce the uncertainty of SSE. The discrepancy between the thermodynamic temperature and ITS-90 values (T-T
90) of Al–Cu, Al, Ag, Cu and Co–C fixed point blackbodies were concluded as 0.022 °C, 0.014 °C, 0.097 °C, 0.137 °C and 0.317 °C, respectively. The standard uncertainty of the fixed point thermodynamic temperature was estimated to be (0.1 to 0.3) °C (k = 2).
Pseudo-label self-training model for transfer learning algorithm
Authors: Chen Zijie , Ling Weixin
Published: June 2023

When aligning joint distributions between domains, the existing transfer learning algorithms usually assign pseudo labels due to the lack of labels in target domain. However, the noise in pseudo labels will affect the performance of transfer learning. Pseudo-label self-training for transfer learning (PST-TL) model is proposed to generate reliable pseudo labels for target domain and have a wide range of applications in existing algorithms. Pseudo labels are predicted by an ensemble classifier using absolute majority vote, and labels predicted successfully are considered to be high confidence. The training of ensemble classifier applies the self-training of joint pseudo labels strategy, adding strongly stable data to training set of the classifier. The semi-supervised and unsupervised transfer learning tasks in experiment show that the existing transfer learning algorithm can significantly improve the transfer performance after embedded by PST-TL model.
A Data-Driven Approach to Interdisciplinary Collaborative Discovery and Recommendation
Authors: Wang Junxiang , Wang Yizhe , Zhu Zixuan , Hu Yitong , Cao Yuxuan , Xing Zehao , Xie Binzhu
Published: June 2023

The convergence of different fields is crucial for scientific advancement, and interdisciplinary collaborations among scholars are necessary for fostering this development. However, identifying and recommending potential interdisciplinary collaborators systematically is a challenging task. This paper proposes an interdisciplinary collaboration discovery and recommendation model for scholars in different fields. We utilized clustering algorithms, including K-Means, DBSCAN, and Affinity, to generate a scholarly interdisciplinary collaboration discovery graph. To recommend potential collaborators, we proposed an algorithm that considers both the suitability between scholars and the individual comprehensive influence of scholars. The effectiveness of the model was validated using data from 126 scholars at the Beijing University of Posts and Telecommunications.
Binarization for time-frequency images of LPI radar signals based on K-means
Authors: Yang Jincheng , Chen Shiwen , Dong Jinpeng , Han Xiao
Published: June 2023

Low probability of intercept radar signal is widely used because it is difficult to be intercepted by non-cooperative receivers in electronic warfare. We need to binarize the time-frequency images when analyzing LPI radar signals based on time-frequency distribution. However, the existing binarization algorithms cannot distinguish noise from the signal frequency at low signal-to-noise ratios. In this paper, we propose to use K-means algorithm to binarize the gray time-frequency images of LPI radar signals. We use F1-score to comprehensively consider the effect of binarization. Based on linear frequency modulation signals, the simulation experiments show that the F1-score of the proposed algorithm exceeds the F1-score of Otsu’s method by 40% to 80% when the signal-to-noise ratio is from -6 dB to 2 dB. The binarization effect of K-means is excellent and has great application prospects.
Research and Application of Panoramic Data Visualization Platform for Stability Control Equipment Based on the Whole Life Cycle
Authors: Gao Qili , Huang Ying , Li Huaiqiang , He Xiao , Sun Yuyang
Published: June 2023

In recent years, with the mass access of new energy such as UHV commissioning projects and photovoltaic wind, the problems in safely and stably operating regional power grid are becoming more and more prominent. Mass power grid stability control system and equipment play a significant role in this aspect. However, there are a great variety of manufacturers and models of the stability control systems and equipment, as well as configuration schemes for the operation strategy and fixed value of the primary equipment. Due to insufficient technological support, it is relatively inconvenient to manage the information and data of stability and control system on the whole process from feasibility research, initial test, factory debugging, site debugging, commissioning acceptance, protection verification, daily operation and maintenance management to the decommission of the system, thus failing to achieve the objective of classified management according to the relevant requirements, nor to modify and improve in time. Based on the management requirements and status quo of the stability and control equipment, a technical research on the panoramic data visualization platform for the stability control equipment with full life-cycle information covering the feasibility research, release, debugging, commissioning, verification, operation, decommission and so on of the equipment, which is available for the panoramic informationized and digital management of the stability control equipment, so as to realize the whole life cycle and systematic closed-loop management of the stability control system and the equipment.
Optimal signal receiving technology based on APD in atmospheric laser communications
Authors: Li Yang , Zhao Xin
Published: June 2023

The intensity fluctuation of atmospheric turbulence significantly affects the performance of the laser communication system. To suppress the turbulence effect, we propose an avalanche photodiode (APD) optimal gain formula under the turbulence channel, taking the real-time received signal-to-noise ratio (SNR) as the evaluation parameter of the turbulence channel’s state. Based on this formula, we design a model of the optimal optical signal receiver in the atmospheric channel, utilizing the Fuzzy-Pi control mechanism to adapt to the nonlinear properties caused by turbulence. The experimental results show the feasibility and advantages of the control mechanism. In addition, when turbulence is weak, as Rytov variance is equal to 0.145, the variance of light intensity flicker is lowered from 0.1353 to 0.103. As Rytov variance rise to 1.068, the variance of light intensity flicker decreased from 0.6547 to 0.32.
Multi-objective operation optimization analysis based on distributed energy sources
Authors: Zhai Zizhan , Gao Yan , Luan Tao , Yan Ruobing , Dou Huawei , Yu Zhaoxin , Yang Senhao , Li Linxun , Liu Zichen
Published: June 2023

In the context of the determination and implementation of the dual carbon goal, it is an important trend of China’s energy strategy to incorporate a considerable proportion of renewable energy into the power grid. Therefore, energy consumption is gradually turning to new energy sources such as wind energy and wind energy. Considering the limitations of random, intermittent and anti-peak regulation of energy forms such as wind and light, a multi-objective optimization model of wind, light, fire and storage combined power generation and heating is built. This model can fine-tune and fill the valley by using the peak regulating capacity of thermal power plants and pumped storage devices, so that the whole system has stable power generation and heating capacity. The model is solved by multi-purpose particle swarm optimization algorithm based on maximum total generation and heating rotation and minimum generation and heating slope fluctuation. The calculation results show that the established model can effectively improve the wind and light consumption rates and reduce the peak set pressure of the thermal device.
The Influence of Geological Characteristics on the Surface Potential Distribution of Metro Stray Current
Authors: Jia Lei , Cai Hansheng , Luo Wei , La Yuan , Yang Feng , Wu Yongcong
Published: June 2023

In recent years, the transformer DC bias phenomenon has often occurred in transformer transformers near subways in China. Due to the serious exceeding of the operating voltage and current, the safe operating state of the transformer and the quality of the power system supply and transmission are threatened. Analyzing the influence of DC bias on the surrounding transformer, the magnitude of the inflow current in the surrounding area can be studied, but the most direct is to study the distribution law of the surface potential in the surrounding area. In this paper, a simulation model is established based on the field geological characteristics of a certain area in Guangzhou, and the surface potential is calculated through the model, and then the correctness of the simulation model is verified by the surface potential data measured on the spot. The simulation model analyzes the influence of different soil structures on the surface potential of subway lines and groundwater systems. The results show that compared with the factor of rail burial depth and the resistivity factor of the river, the soil resistivity has a greater influence on the surface potential, and the surface potential is greater when the soil resistivity is greater.
Simulation Model and Performance Analysis for Distributed Compressed Air Energy Storage under Off-design Conditions
Authors: Zhu Zhichao , Du Xili , Di Yanqiang , Chen Xiaotao , Chen Laijun
Published: June 2023

The dual carbon target in China, which is set to improve the low carbon and economy of regional microgrid (villages in northwest China for example) energy consumption, is proposed to use compressed air energy storage to improve the utilization rate of distributed new energy and reduce the cost of power purchase to the upper power grid. Therefore, the system dynamic characteristics simulation and performance analysis under wide working conditions are very important for improving the utilization rate of new energy. Firstly, the operation characteristics of the compression subsystem and turbine subsystem under wide working conditions are analyzed. Secondly, the mathematical models of the compression subsystem, turbine subsystem, throttle valve, and air storage chamber in the distributed compressed air energy storage system are established. Finally, the dynamic characteristics of energy storage and energy release under different working conditions of the system are studied through simulation. The simulation results show that under the condition of the high mass flow rate, the pressure of the air storage chamber can be increased by 8.29 MPa, and the temperature can be increased by 82 °C. The research results provide a theoretical basis for the system design of distributed compressed air energy storage.
A Power Flow Calculation Method Considering High-order Load Models
Authors: Pang Weichao , Qi Fujun , Wang Jun , Zhao Fuqiang , Song Qijun , Pan Xingyu
Published: June 2023

Given the popularity of new energy and the connection between large power electronic equipment and power system, the operation of power system becomes more complex and requires higher accuracy of power flow calculation. Therefore, a power flow calculation method considering high-order load model is proposed. On the basis of the Newton-Raphson method, when considering the load voltage characteristics, it is necessary to change the variables in the Newton-Raphson method power flow. Therefore, the established polynomial load model is introduced into the Newton-Raphson method, and the effect becomes more obvious with the increase of the order. Finally, constant power, constant current, constant impedance load and fifth order load models are tested in IEEE14-bus system respectively to verify the good accuracy and robustness of the proposed method.
Optimized allocation of distributed generation considering battery energy storage batteries and photovoltaic
Authors: Xin HaoKuo , Jiang Minglei , Lu Yu , Zhang Ying , Yu WenFang , Jin XinLong
Published: June 2023

The access of distributed generator (DG) to the distribution network becomes a voltage support point, which is conducive to optimizing the power flow and reducing the losses in the distribution network. The volatility of DG increases the uncertainty of grid operation and increases the difficulty of distribution grid operation control. To address the above contradictions, this paper researches the optimal allocation of distributed power sources. A bi-level optimal allocation model that integrates planning and operation is established. The upper takes the economic optimization of the distribution company as the target, while the lower layer optimizes the DG allocation scheme with minimum network loss and passes the target value to the upper layer to make the distribution network economically optimal. The DG output scenario generation method based on kernel density estimation and k-means clustering addresses the uncertainty of DG active power output. A computational analysis is carried out based on a typical 10kV distribution network with PV as an example to verify the validity of the model.
Day-ahead Optimal Scheduling Strategy of Biomass-based Integrated Energy System
Authors: Gao Junyan , Wang Peihong , Zhao Gang , Wang Minli , Gong Chaoyu
Published: June 2023

Under the background of carbon neutrality, biomass-based integrated energy systems are gradually becoming a hot spot for research. This paper uses a multi-energy flow biomass-based integrated energy system of electricity, heat, gas, and fertilizer as the research object. Firstly, the characteristics of the main equipment of the system are analyzed, and the corresponding mathematical model is established. Secondly, with the integrated goal of maximizing net operating profit and CO2 emission reduction, a day-ahead operation optimization model of a biomass-centered integrated energy system is established. Finally, the advantages of the proposed system and the characteristics of each equipment output in the day-ahead dispatch are analyzed based on the calculation examples.
Study on the Energizing Mode of Marine Seven-Phase Permanent Magnet Brushless DC Motor
Authors: Long Ping , Xie Wei
Published: June 2023

The permanent magnet brushless DC propulsion motor is highly efficient and energy-saving and can be widely used in the electric propulsion system of ships. Therefore, taking the marine seven-phase permanent magnet brushless DC propulsion motor as the main research object, the basic structure of the motor is analyzed, the states of the seven-phase conduction, six-phase conduction, and five-phase conduction modes are listed, and mathematical models of the three different conduction modes are studied. Finally, the current fluctuation of the six-phase conduction mode is smaller through simulation. The speed is more stable, and the advantages are greater, which provides a reference for the application of a seven-phase permanent magnet brushless DC propulsion motor in marine power.
Research on LC parallel resonant circuit
Authors: Zhang Bin , Wang Xuhong , Zhang Yiming
Published: June 2023

This paper introduces the resonant condition of LC parallel resonant circuit and the resonant condition under ideal condition. Through the combination of calculation and simulation, the analysis of the actual resonant circuit, which makes the waveform sine is affected, the distortion of the parameters. Combined with the full-response resonant circuit with sinusoidal excitation source of the same frequency, the parameters that affect the optimal resonant state when the circuit is at a fixed resonant frequency are derived. Finally, the above theory is verified by experiment, and the characteristics of LC parallel resonant circuit are obtained.
Study on Active Disturbance Rejection Control of Permanent Magnet Synchronous Motor Based on Variable Structure Extended State Observer
Authors: Yang Huaizhi , Meng Xiaoli , Zhang Xufei , Zhu Huaqiang
Published: June 2023

Linear extended state observer (linear extended state observer, LESO) is the core component of linear active disturbance rejection control (linear active disturbance rejection control, LADRC), and its performance is critical to the control effect. The linear ADRC is applied to the speed loop of the permanent magnet synchronous motor control system with a double closed-loop control strategy. By adding a scale factor to the linear extended state observer, the utilization efficiency of the observed signal and the observation speed is improved. On this basis, a hybrid switching strategy is adopted to achieve a smooth transition between the traditional ESO and the improved ESO, avoiding the motor speed imbalance and motor chattering caused by direct switching. Finally, the improved ADRC strategy and the traditional ADRC strategy are compared and analyzed through simulation, which verifies the effectiveness and superiority of the improved strategy.
Marine Power System Thrust Distribution Based on Grey Wolf Optimization Algorithm
Authors: Yang Xiaoting
Published: June 2023

The ocean is rich in Marine minerals and other resources. To make effective use of these resources, it is indispensable to have good resource exploration and mining equipment, and more attention is paid to ship control methods. A dynamic positioning system can control the position and head of the ship. Thrust distribution is an important part of the DP system, and its performance will have a significant influence on the reliability and accuracy of the system. To settle this matter, a ship thrust distribution method based on the grey Wolf optimization algorithm is offered. Aiming at the research of thrust distribution of ship DP system, a dynamic positioning simulation model is established, which is combined with the grey Wolf optimization algorithm. The results show that the control effect is good.
Multi-Time-Scale Volt/var Control in Distribution networks with the Coordination of PV Inverters and Capacitor Banks
Authors: Huang Fengbiao , Cheng Dengfeng , Zhang Yuan , Kang Weiwei , Hong Min
Published: June 2023

With the increasing penetration of photovoltaics (PVs) in distribution networks, PV inverters and capacitor banks (CBs) should be well utilized for volt/var control and tackle fluctuations and uncertainty introduced by PVs. This paper proposes a multi-time-scale volt/var control method to coordinate PV inverters and CBs, where the complementarity between the minute and second-level control promotes the economic and secure operations of distribution networks. Firstly, the model of volt/var optimization (VVO) is constructed to minimize network losses and CB operations, and PV inverters are set to reserve some reactive regulation capacity used for real-time control. According to VVO, the model predictive control is carried out to consider future fluctuations, which decides the current 5-minute control for all devices to achieve economic operations. To avoid second-level uncertainties resulting in possible voltage violations, the real-time control further adaptively adjusts MPC control values, which rapidly drives the reactive power regulation abilities of all PV inverters to ensure voltage security and maintains that the control results almost do not deviate from the MPC results to ensure economy. Case studies based on a modified 17-node distribution network verify the effectiveness of the proposed method.
Distributed Autonomous Economic Control Strategy for DC Microgrid
Authors: Xue Fei , Zhou Lei , Ma Xin , Wu Meirong
Published: June 2023

A distributed autonomous economic control strategy is proposed to realize the economic operation of the DC microgrid in the islanded state. The control strategy first introduces incremental cost in primary control, but due to the influence of line impedance, it is not possible to precisely achieve the consensus of incremental cost at each unit, and it generates a steady-state error. To overcome this problem, a distributed secondary control based on a dynamic consensus algorithm is designed on the basis of primary control, which makes each distributed generator operate under equal incremental cost. The two layers of control strategies cooperate work together to realize the hierarchical-distributed autonomous economic operation of the DC microgrid. Finally, the simulation model of the DC microgrid is constructed, which verifies the effectiveness of the proposed method.
Performance simulation of plate-and-tube evaporative cooling frost-free heat pump heat exchanger
Authors: Yuxin Ren , Lin Cao
Published: June 2023

To verify the operational feasibility of the plate-and-tube evaporative cooling frost-free heat pump heat exchanger and its influence factors, a single plate-and-tube was selected as the simulation object, and the VOF model, RNG k-ε model, and self-programmed UDF program were used to control the water vapor transfer mass to verify the influence of air flow rate on the internal flow and heat and mass transfer law of the model. The results show that as the air velocity increases, the percentage of turbulent flow inside the model increases, and the solution coverage on the surface of the plate and tube decreases slightly; the heat and mass transfer increases with the increase of the flow velocity, and the latent heat, sensible heat, and total heat exchange increase with increase the of the flow velocity.
Short-term wind power prediction model based on improved ACA-GRU neural network
Authors: Han Xiao , Zheng Songsong , He Zhenwei , Huang Jiuping , Che Liang , Li Lili
Published: June 2023

To improve the accuracy of wind power forecasting, the improved ACA (Ant Colony Algorithm) is used to optimize the GRU (Gated Recurrent Unit) model. First, the original power generation data is normalized; Second, the GRU neural network model is established, and the ant colony algorithm is used to optimize it; Finally, the optimized GRU model and the non-optimized model are used to predict the short-term wind power output, and the prediction results are compared to verify that the improved ACA-GRU prediction model has higher prediction accuracy for short-term wind power output.
Research on Energy Efficiency Loss of Typical Distribution Network Equipment by Compound Power Quality Disturbance
Authors: Fu Yu , Zheng Zhiyao , Shen Zilun , Yin Zhongdong
Published: June 2023

The development of modern science and technology causes increasing problems of power quality, such as the wide application of impact and nonlinear loads represented by power electronic devices, the emergence of a large number of single-phase users in the low-voltage distribution network, and the start and stop of various large power-using equipment. It makes the problem of power quality in the power system more and more serious. The problem of power quality will not only reduce the efficiency of the equipment in the power system and shorten the life of the equipment but also lead to an increase in the distribution network loss. The level of power loss is related to the economic benefits of the majority of users and power enterprises and is also an important reflection of social benefits and energy consumption status. Currently, most domestic and foreign research is on single power quality disturbance, but the actual low-voltage distribution network contains complex problems of power quality. Therefore, it is important to study the additional loss of key equipment in the low-voltage distribution network and LV distribution network under multiple power quality disturbances. Based on single power quality disturbance, the accurate calculation of additional loss of key equipment caused by compound power quality is further deduced and verified in the simulation platform. This paper further deduces the accurate calculation of the additional loss of key equipment caused by compound power quality and verifies the model with MATLAB/Simulink simulation.
Corrigendum: Circularity and LCA - material pathways: cascade potential and cascade environmental impact of an in-use building product (2022 IOP Conf. Ser.: Earth Environ. Sci. 1122 012041)
Authors: Schaubroeck Simon , Dewil Reginald , Allacker Karen
Published: June 2023

Please see Article PDF for corrigendum text.
Cellulolytic Bacteria as Decomposers in Dry Empty Fruit Bunches Composting
Authors: Gusmawartati  , Sari P R
Published: June 2023

Empty fruit bunches (EFB) contain macro and micronutrients, so they can be used as compost. EFB takes a long time to be composted because it has high cellulose. Used cellulolytic bacteria decomposers are a solution to boost EFB composting. The goal of this research is to get cellulolytic bacteria with a high potential for accelerating composting and producing high-quality compost. The study used a completely randomized design with several types of cellulolytic bacteria and was repeated three times. Data is presented in qualitative and quantitative formats. The qualitative data were analyzed descriptively, the quantitative data were analyzed using analysis of variance, and the Honestly Significant Difference (HSD) test was run at a 5% significance level. Temperature, volume shrinkage, color, smell, C-organic, N-total, C/N ratio, and pH parameters of the compost were analyzed. The results showed that the application of cellulolytic bacterial isolates could improve the quality of OPEFB compost (in accordance with SNI Compost Quality Standards: 19-7030-2004) and speed up composting time. Consortium I was the best treatment with reduced compost volume up to 74.53%, decreased C-organic content up to 23.32%, increased total N content up to 1.88% and decreased C/N ratio up to 12.44.
Introducing New Varieties to Increase Garlic Production and Determining Its Economic Feasibility in Toba Regency
Authors: Parhusip D , Marpaung I S , Nainggolan P , Sebayang L , Siagian D R , Haloho L , Saragih J
Published: June 2023

Garlic is one of the vegetable commodities whose demand is increasing in tandem with the total population. Until now, national production of this commodity is unable to meet demand. In addition to the import strategy, the local government is attempting to implement an extensification strategy (by increasing total cultivation area) to address this issue. One of the actions in this strategy is the introduction of two garlic varieties, Lumbu Hijau and Sangga Sembalum. From August to December 2020, this study was carried out in Gurgur Experimental Garden, Tampahan Sub District (Toba Regency). The goals of this study are to determine the suitability of these varieties based on their vegetative and generative performances, as well as to conduct a cost-benefit analysis. The results show that the Lumbu Hijau variety outperforms the Sangga Sembalun variety in terms of growth and production. There is a statistically insignificant difference between these varieties in terms of plant height and number of leaves, but there is a significant difference in stem height. According to the B/C ratio analysis, Lumbu Hijau variety has 1.26 more shares than Sangga Sembalun variety has 0.84, respectively. This output indicates that garlic commodity development in Toba Regency is still feasible by improving cultivation management for better production.
EZY TO SPRAY (Eco-enzyme for Tobacco Spray): Utilization of Eco-enzyme as an Agent to Eliminate Cigarette Smoke Odor
Authors: Sirait A F , Azzura Z A , Matondang M R , Simanjuntak T C , Ichwan M
Published: June 2023

Cigarette smoke contains carcinogenic residues such as volatile organic compounds and polycyclic aromatic hydrocarbons that stay on surfaces and can be released into the air causing stains and unpleasant smells. The use of chemical cleaners and deodorizers may cause other health and environmental consequences. Eco-enzyme from organic waste such as fruit peels and vegetables left over are one of the organic innovations that are commonly used to remove odor. In this study, we introduce the use of eco-enzyme in the form of spray and evaluate the effectiveness of eco-enzyme spray to eliminate cigarette smoke odor. This research was an experimental organoleptic test involving 20 human subjects, female, older than 18 years old, and have normal olfactory function to rate the cigarette smoke odor intensity after being sprayed with eco-enzyme. Data were analyzed with the Kruskal-Wallis test and continued with Post-Hoc test. We found that the difference in the concentration of eco-enzymes made a significant difference in the intensity of the smell of cigarette smoke (p=0,000, p<0,05), with the highest average score 3.95 at a concentration of 1:3. In conclusion, the eco-enzyme spray is capable to eliminate cigarette smoke odor using 1:3 concentration.
An Analysis of Artificial Lighting’s Relation to Visitors’ Activity Place in Coffee Shops: Towards Enhancing Regional Development
Authors: Novrial  , Hidayat H F , Affif A M
Published: June 2023

The presence of coffee shops as a common social and public space resulted in the need for it to be flexible and accommodating places. To make a room comfortable and functions properly, it’s lighting must be able to accommodate various activities within the space. The coffee shops are not only advantageous for the people involved directly, but it also helps regional development. Coffee shops have been one major contributor to the local economic development. Artificial lighting is lighting that comes from manufactured light sources such as lamps. This study aimed to determine the relationship between artificial lighting to the visitor’s activity in coffee shops which includes the light’s intensity, color temperature, and distribution. The method used in this study is a mixed method by distributing 100 questionnaires to coffee shop visitors and field observations. The data collected were then analyzed using descriptive analysis methods. The study’s results indicate that artificial lighting affects visitor’s activity. Areas with higher light intensity, light color within the white spectrum, and a more even light distribution have more activity variety.
A Review of the Role of Intermediate Partners in the Community Participatory Mapping Project at Slum Upgrading Settlement
Authors: Handayani K N , Dianingrum A
Published: June 2023

Surakarta has put a lot of effort into promoting civic engagement. Numerous projects have been taken out since 2017 to help the local government with the upgrading of the slum community on the Kali Pepe and Bengawan Solo River riverbanks. The initiation comes from grass root programme. Clarifying the function of intermediary actors in the administration of participatory mapping on slum improvement projects is the goal of this study. The initiatives were based on the writers’ experiences while working on several community engagement programs for project upgrades between 2018 and 2022 at Surakarta City (Solo). The information is gathered through field research that is done concurrently with project execution. Selected participatory mapping projects included four case studies. The Kampung Layak Anak Project was run by Urban Rural Design and Conservation (URDC Labo) and ARKOM Solo in 2017, The Green Kampung Project was run by URDC Labo UNS and SIBAT Sewu in 2018, Bangkit Berbarengan was run by URDC Labo and ARKOM Solo in 2020, and Mojo’s participatory mapping of a children-friendly environment (2022) are just a few examples. Several participants were involved in the neighborhood data collection process, and participatory mapping technologies were applied. It will explore these conflicts to look at the role intermediate partners play in empowering communities. Since participatory mapping pertains to both top-down and bottom-up methodologies, the findings primarily focus on the ambiguity of participation in the context of Solo. Another conclusion highlights the role of intermediary actors, such as academics, ARKOM, KOTAKU, and Sibat Sewu, in efforts to restructure urban areas.
Processing and Utilization of Natural Resources of Gulamah Fish with Boiling and Steaming Method
Authors: Harahap H , Manurung R , Iriany  , Yustira A
Published: June 2023

This study aims to utilize marine products to be processed into useful and economically valuable products. This research activity was carried out in Sentang Village, Teluk Mengkudu District, Serdang Berdagai Regency. The choice of this location is because it is near the sea and has the potential for abundant natural resources of marine products. Fishermen’s catches do not all have a selling value, for example, small fish such as gulamah fish. In this study, gulamah fish was used as a raw material in the process of making the fish meal. Fish meal is processed by boiling and steaming methods. The fish meal obtained will be analyzed for its nutritional value in the form of water content, protein content, fat content, and salmonella. Fish meals using the boiling method produced better fat content than the steaming method, namely 5.44%, while fish meals using the steaming method produced better water content and protein content than the boiling method, namely 5.52%, and 6.35%. but, Fish meals with a positive steaming method contain salmonella bacteria.
SWOT Analysis and Marketing Mix 4P Model as a Method to Develop Strategic Plan for Newly Marketed Agricultural Corn Seed Product
Authors: Dermawan M , Rini E S , Sembiring M T , Budiman I
Published: June 2023

The Province of Sumatera Utara is one of the corn producers in Indonesia. Demand for agricultural products especially corn and corn products keeps steadily increasing. The use of quality seeds will certainly be able to increase the yield productivity of corn farmers to fulfill the increasing demand. In the observed company object, the newly marketed NK corn seed product faces various strategic obstacles. By considering several things such as not achieving sales targets for similar products in the past, changes in environmental conditions after Covid-19, and competition with products that existed on the market, it is necessary to have a strategic plan for marketing this product. A method that can be used to identify the marketing conditions that will be faced by the newly marketed product is SWOT analysis with a focus on the 4P marketing mix model. With this method, the identification of Strengths and Weaknesses is carried out together with the company’s internals, while the identification of Opportunities and Threats is carried out with company stakeholders and product users. Followed by, determining the appropriate type of strategy used by using the Internal Factor Analysis Strategic (IFAS) and External Factor Analysis Strategic (EFAS) Matrix analysis procedures. The results obtained are in the form of recommendations for strategic plans that need to be implemented to win the market competition and achieve the expected targets. Another result gives the hint that the strategic plan recommended also brings socio-economic impact to the farmers.
Effect of Good Corporate Governance, Company Size, and Voluntary Disclosure on Cost of Debt in Healthcare Companies Listed on the Indonesia Stock Exchange (Period 2017 - 2021)
Authors: Alhady M A , Risanty
Published: June 2023

This research takes the role of determining which factors can reduce the cost of debt in health companies listed on the Indonesia Stock Exchange. The sample observed in this study consists of 14 companies chosen by purposive sampling out of the population of 24 health corporations on the Indonesia Stock Exchange. The covid-19 pandemic caused an economic contraction, this increased debt financing. Debt that is not managed properly is reflected in the expansion in requests for Postponement of Debt Payment Obligations (PKPU), PKPU can later be a sign that the company is on the verge of bankruptcy. Due to this risk, there is an urgency when a health company goes bankrupt, the wider community will be affected because companies that provide offers related to health services will be limited and increase in the price of available health services. This phenomenon can threaten economic sustainability for the whole society. The determination of the study demonstrates that voluntary disclosure and partially independent boards of commissioners have a considerable detrimental impact on the cost of debt. The cost of debt, in contrast, is unaffected by management ownership, institutional ownership, or company size.
Understanding Diospyros rumphii Bakh from North Sulawesi through Long-read sequences analysis using MinION Oxford Nanopore Technologies
Authors: Salindeho R A , Dwiyanti F G , Pratama R , Matra D D , Majiidu M , Fatlan K F , Siregar I Z
Published: June 2023

Diospyros rumphii (Ebony) is a high-value timber species native to Indonesia, which is listed as a Data Deficient species by the International Union for Conservation of Nature (IUCN) Red List of Threatened Species. Therefore, additional data to enrich knowledge on the distribution, ecology, and genetics of this species is urgently needed. Furthermore, this study aimed to generate whole-genome sequencing data, including the low-coverage data for D. rumphii using MinION Oxford Nanopore Technologies (ONT). The sequence data generated from leaf and cambium genomic DNA was assembled to result in a draft of the chloroplast genome and constructed the phylogenetic tree based on partial nucleotide sequences of the rbcL gene. The results showed that DNA sequencing of D. rumphii generated a 3.25 Gb of long-read sequences data and a draft of a partial chloroplast genome with a size of 150,578 bp. Genetic relationship analysis using the rbcL gene showed that D. rumphii was positioned in one clade with Diospyros oblonga, which has a bootstrap value of 87% suggesting that the rbcL gene can be considered as recommended molecular marker for genetic analysis of D. rumphii in the future.
Molecular Identification and Antimicrobial Potency of Probiotic Lactic Acid Bacteria Pado (Fish Fermentation) Nagari Balingka IV Koto District-West Sumatra as a Functional Food
Authors: Anisah  , Harun H , Jannah H , Amelia R , Purwati E
Published: June 2023

Pado, indigenous cuisine from the region of West Sumatera, is a mixture of fish with the meat seed of Simuang (Pangium edule Reinw) and grated coconut fermented for 4-8 days. Pado is thought to contain lactic acid bacteria (LAB) activity used as a probiotic-producing functional food which is good nutritional value. Based on it, Pado had the potency to improve the economy which had a good impact on regional development. This aims to decide the molecular identifications and antimicrobial activity of LAB as probiotics contain in Pado that are useful as functional foods. The sample used as material for this research is Pado from Nagari Balingka IV Koto District in Agam Regency-West Sumatera. The research methods are bacterial isolation from Pado, determinate LAB using laboratory analysis, and LAB identification using the 16S rRNA method. The result of Gram staining showed Gram-positive that the purple rod-shaped. The other characteristics of Pado isolate were homofermentative, catalase-negative, resistant to acidic pH, and bile salt. The colony of Pado LAB has a white-beige smooth-convex surface. Pado Nagari Balingka IV Koto is a functional food that contains the probiotic Lactobacillus plantarum strain SRCM 102737 and it had antimicrobial activity against pathogen bacteria.
Raising Awareness and Capacity Building as a Way Ahead to Revitalising Tourism Industry in Sudan
Authors: Fahmi M M , Ahmad Y
Published: June 2023

This article discusses the links between the tourism industry and the world heritage context using raising awareness and capacity building as a driving force to promote economic growth. Albejrawiah pyramids’ world heritage site in Sudan will be used as a case study, with a special focus on local communities’ role and participation in enhancing tourism growth. This paper analyses the effect of using the conservation of world heritage sites as a tool for tourism attraction in order to consequently gain economic development. Furthermore, it examines the basic role that local communities at the Albejrawiah pyramids’ world heritage site can play in promoting the tourism industry. The article points out, maybe for the first time, the importance of the local communities role in enhancing the tourism industry. The response by the site director ensured that the governmental investments in tourism infrastructure would promote the country’s economy extensively. The article concludes that a shift from current traditional heritage management strategies to a new one could contribute effectively to enhancing tourism infrastructure and consequently promote economic aspects and quality of life in Sudan. The data used for this research were collected via questionnaires, semi-structured interviews, and during field trips to the Albejrawiah pyramids world heritage site in 2014 and 2016, updated in 2018.
Antibacterial Activity of Silver Nanoparticles Poguntano Herb Extract (Picria fel-terrae Lour) against Staphylococcus epidermidis
Authors: Putra E D P , Wahyuni H S , Hertiana T , Nasri  , Muhammad M , Satria D
Published: June 2023

Green synthesis methods to synthesize nanoparticles using natural products can be used by utilizing plants or microorganisms. Poguntano (Picria fel-terrae Lour.) or leaf kukurang is a plant from the family Scrophulariaceae. This study aimed to determine the antibacterial activity of silver nanoparticles of Poguntano aqueous extract. The antibacterial activity of silver nanoparticle water extract bacteria Staphylococcus epidermidis with extract concentrations of 20 mg/mL (12.43 ± 0.12), 10 mg/mL (11.50 ± 0.10) and 5 mg/mL (10.43 ± 0.12) can inhibit bacterial growth, Staphylococcus epidermidis at a concentration of 10 mg/mL, absorbance values at wavelengths of 260 nm and 280 nm were higher than the absorbance values at a concentration of 5 mg/mL. Staphylococcus epidermidis biofilm inhibition test shows that the results of the absorbance or OD measurement in the biofilm inhibition test using the silver nanoparticle of Poguntano extract, the OD value at a concentration of 10 mg/mL (0.367± 0.57) showed a biofilm inhibition result of 45.24 % greater than the concentration of 5 mg/mL which is 0.510 ± 0.54 with a biofilm inhibition result of 23.77%, this indicates that the greater the attention of the extract, the smaller the biofilm formation of Staphylococcus epidermidis bacteria.
First evidences of energy performance certificate operational rating: The case of Cyprus
Authors: Fokaides P A , Georgali P Z , Afxentiou N
Published: June 2023

This study aims to introduce the first pieces of evidence of an operational rating scheme for energy performance certificates for the case of Cyprus, an EU member state which conducts buildings classification with asset rating. For the purpose of this study, a case building was monitored for over 12 months in Cyprus, recording over 60 sensors within the building related to heating, cooling, lighting, and appliances. A set of operational indicators were extracted and demonstrated with the purpose of establishing a dataset of operational measurements for buildings in Cyprus. Normalization practices related to occupancy and weather correction factors are also discussed. Following the guidelines of ISO 52003 on the operational rating of buildings, the study concludes with the definition of representative values for the actual energy performance of buildings in Cyprus, delivering typical operational rates for the Cypriot building stock. The case study building is also examined, with regard to its operational rating, based on the average value of the Cypriot building stock. This study aspires to set the grounds for the development of an operational rating scheme for the island state of Cyprus based on best practices and the normative framework for energy-efficient buildings.
Analysing the existing dynamic insulation technologies focusing on buildings’ renovation – A review
Authors: Karanafti A , Theodosiou T
Published: June 2023

Towards the achievement of zero-emission buildings, conventional envelope solutions have started to become outdated. The concept of Dynamic thermal insulation is an innovative approach, still under development, that attracts a continuously and fast growing scientific and research interest, mainly due to its perfect alignment with the targets of a zero-carbon future. The aim of this study is to investigate a variety of such systems that are capable to adjust the envelope’s thermal resistance based on the building’s needs. The study follows a two-levelled categorization approach. Initially, the classification focuses on whether an assembly switches or varies its thermal properties within a range, whilst the operating principle is used for further categorization. The systems under investigation, are further categorized based on their adequacy as a measure for the implementation on existing buildings’ energy retrofit. This innovative categorization takes into consideration properties like operational and control complexity, mechanical equipment requirements, construction simplicity, cost, etc. The results reveal great potential for this technology and indicate a need for further investigation on issues related to their sustainability potential in new or in existing buildings.
Multi-Period Optimisation of District-Scale Building Integrated Photovoltaic Deployment
Authors: McCarty J , Waibel C , Schlueter A
Published: June 2023

The deployment of solar energy technologies such as building integrated photovoltaics (BIPVs) is one of many ways to mitigate present greenhouse gas emissions and abate GHG emissions in future urban development. The widespread deployment of BIPVs is therefore ideal, but deployment must be met with an understanding of the life cycle carbon associated with the technologies manufacturing and their availability as a finite resource. In this paper we describe deployment schedules over the next several decades for BIPVs in a redeveloping urban quarter in Zürich, Switzerland, known as Altstetten. Altstetten has near term goals for carbon neutral buildings that must be met through energy retrofits, higher building standards, and renewable energy. In solving how best to deploy BIPV systems to reduce the life cycle emissions of the buildings in Altstetten, we develop a multi period deployment scheme from a Mixed Integer Linear Programming optimization model that determines the optimal PV deployment within a larger urban multi-energy system. This approach intermingles spatially resolved optimisations with temporally resolved projections of how to deploy the BIPV systems. We analyse results of several optimal solutions sets to investigate the role urban morphology and BIPV embodied emissions play in BIPV utility. We find that different planning strategies (e.g. reduce cost before carbon emissions) play a role in the quantity and rate at which BIPV could be expected to be deployed and that a strategy of minimizing carbon before cost results in less required BIPV deployment than if cost is of the prime concern.