bluuebunny/crossref_metadata_2025 huggingface dataset:
Seepage Analysis and the Reservoir Water Pollution Potential under Vertical Dam Structure Planning
Authors: Dinar C. Istiyanto  , Wulandari Ika , Shafan A. Aziiz  , Rizaldi C. Yuniardi  , Suranto  , Yofan T.D. Harita  , Affandy Hamid  , Aloysius B. Widagdo
Published: September 2023

A prospective resolution to the intricate predicaments of flooding, sanitation, and the availability of unprocessed water for the populace of Jakarta residents is the implementation of the coastal reservoir paradigm. This paradigm entails harnessing the latent capacity of the Cisadane River flow and its subsequent storage within a retention pond, and then subjecting it to reprocessing to serve as a viable source of raw water. The selection of a vertical seawall design was based on the objective of creating an effective barrier between the reservoir and the sea, while also considering several environmental factors. This design was selected with the aim of minimizing the need for extensive soil excavation and rock placement. However, it is important to note that the risks of construction failure associated with seepage under hydraulic structure and dam stability pose significant challenges. Besides preventing saltwater intrusion and maintaining the integrity of the reservoir as a freshwater source, dam must be designed to mitigate potential seepage failure and intrusion issues. To address these concerns, this study employed numerical simulation using the SEEP/W and CTRAN/W software. The simulation was carried out to analyze seepage discharge under a vertical dam and predict potential seawater intrusion into the reservoir. The dam was examined over a ten-year period, with varying embankment widths of 10m, 20m, and 30m. The analysis considered changes in water level (ΔH) and the addition of a cut-off wall at depths of 5m, 10m, and 15m. The obtained results showed that seepage discharge rates amounted to 3,14x10-4 m3 s-1, 2,67x10-4 m3 s-1, and 2,50x10-4 m3 s-1 for embankment widths of 10m, 20m, and 30m, respectively, under a 1m level difference condition. Following this, the safety factor for piping on vertical embankment was determined as 1.10, 1.34, and 1.39 for widths of 10m, 20m, and 30m, respectively. This factor was found to increase to 4.03 when the embankment distance was widened, and a 15m deep cut-off wall was installed. It is important to note that the seawater intrusion model predicted a seawater concentration of 65,12 g m-3 at the bottom for an embankment width of 10m, while no intrusion was observed at widths of 20m and 30m with ΔH=1m. This study aims to assess potential risks of piping due to seepage and seawater contamination at the Cisadane Estuary.
Seismic Performance Evaluation of Wharf Based on ASCE 61-14
Authors: Kukuh Adhi Kafie  , Andreas Triwiyono  , Iman Satyarno  , Hu Hsuan-Teh
Published: September 2023

The adequacy of the structural performance of a wharf in withstanding seismic loads is of paramount importance. Therefore, this research aims to conduct an accurate pushover analysis on the adequacy of a wharf located in North Sulawesi, Indonesia. The study provides a comprehensive overview of the seismic performance of the wharf by examining displacement and strain parameters of its plastic hinge components under various loading conditions. To simulate accidental torsion, the wharf structure was analyzed by introducing variations in the eccentricity offset of the lateral pushover load of -5%, 0%, and 5% from the center of mass. The analysis of the torsion behavior involved a comprehensive examination of four control points located at each corner of the wharf plan. Additionally, the investigation took into account, the crucial aspect of soil-structure interaction by considering the equivalent fixity depth of the pile, which was used to evaluate the fixity length of the structure. In order to determine the target displacement of the wharf, analysis was performed in accordance with the established methodologies outlined in FEMA 356. It is also important to note that the seismic performance of the wharf was evaluated based on acceptance criteria in the form of strain limits imposed on various components, including concrete elements, reinforcing steel, and steel pipes, as prescribed by ASCE 61-14. In this study, a total of 30 models were examined, and the obtained results showed that the structure exhibited controlled and repairable damage even when subjected to a 475-year earthquake return period (CLE: Contingency Level Earthquake). Following this, the analysis of variations in displacement control point served to determine the inherent torsion exhibited by the structure, and the introduction of different lateral load eccentricity offsets and variations in pushover loading direction were found to contribute to the increased displacement and strain in the plastic hinge components.
Effect of the East African Community Common External Tariff on Household Labor Income in Kenya
Authors: Mogendi Justine Ongeri , Nganga Tabitha Kiriti , Barasa Laura Nelima
Published: September 2023

This study investigates how changes in prices caused by the adoption of the East African Community Common External Tariff affected the labor incomes of households in Kenya. Households in rural, urban, and fully urban areas are analyzed. Workers are classified as skilled versus unskilled, formal versus informal, and agricultural versus non-agricultural sector workers. Data from the Kenya Integrated Household Budget Surveys 2005/2006 and 2015/2016 are used in the analysis. Data from these surveys were used to categorize workers and extract the price values for commodities. One hundred and twenty-one commodities classified as agricultural or manufactured goods are analyzed. Much of the reduction in import tariffs and hence reduction in commodity prices is on manufactured goods. A Mincerian wage equation that is corrected for survey design and heteroskedasticity is estimated. Further, a sensitivity analysis using a Poisson Pseudo Maximum Likelihood model is estimated. The price-labor income effect is observed to vary with the classification of workers in the country. Skilled, formal, and non-agricultural workers gained compared to their counterparts. Workers in counties that border the EAC countries and those in the major cities in the country gained more than other workers in other counties in the country. However, in all parts where gains are experienced, the magnitude is small. This shows that generally, the Common External Tariff did not have a very significant effect on labor incomes in Kenya.
Research on the Formulation and Implementation of Development Plans for Primary and Secondary Schools
Authors: Yan Shuo
Published: September 2023

The formulation and implementation of development plans for primary and secondary schools is an important task to ensure that schools can adapt to the constantly changing educational environment, provide high-quality education, and meet the needs of students. With the continuous promotion of education reform and the increasing demand for school development, the formulation and implementation of school development plans have become particularly crucial. This study explores the process of formulating and implementing development plans for primary and secondary schools. In addition, it will also explore the future trends and challenges faced by primary and secondary school planning, such as the future direction of educational policies and planning, the role of technology and innovation in planning, the challenges of social change and diversification, and sustainable development and environmental factors. The research aims to provide useful references and suggestions for planners and decision-makers in primary and secondary schools, in order to promote sustainable development of schools and improve educational quality.
Autonomía Universitaria
Authors: Contretas Bustamante Raúl , García Ramírez Sergio , Rubio Pérez Tomás Humberto
Published: September 2023

El compromiso con la formación de profesionales útiles para la sociedad, así como con la organización y realización de investigaciones y la extensión de la cultura, fines primordiales consignados en la Ley Orgánica de la Universidad Nacional Autónoma de México, resalta y hace ineludible la existencia del carácter autónomo de esta importante institución. Algunas reflexiones sobre el tema de la autonomía, desde el punto de vista de reconocidos y comprometidos universitarios, es fundamental para reafirmar su importancia y pertenencia. Este fue el propósito de la mesa redonda, realizada el 12 de mayo de 2022 en el aula virtual de la Facultad de Contaduría y Administración y que este cuaderno recoge. Se contó con la participación del Dr. Raúl Contreras Bustamante, el Mtro. Tomás Humberto Rubio Pérez y el Dr. Sergio García Ramírez, quien fungió como moderador.
Investigation of the Genetic Algorithm Convergence Used to Solve the Problem of Eliminating the Temperature Imbalance in Heated Rooms
Authors: Shuravin A. P. , Vologdin S. V.
Published: September 2023

The article justifies the relevance of artificial intelligence application for energy saving and studies of genetic algorithms used to solve the problems of eliminating the temperature imbalance in heated rooms. The objective of this study is to determine the relation between the rate of genetic algorithm convergence used to optimize the temperature of heated rooms and the number of adjustable parameters. The article also provides a brief overview of works in the field of automation and optimization of energy saving and overview of works in the field of genetic algorithms research, including studies of the dependence of the convergence of genetic algorithms on various parameters and the use of genetic algorithms for solving highly specific problems. This paper presents a mathematical formulation of the optimization problem arising from the problem of eliminating the temperature imbalance in heated rooms, including the formula for calculating the objective function. According to this formula, the objective function is the standard deviation of temperatures in heated rooms from the standard. The article also briefly provides a methodology for calculating the equilibrium temperature in heated rooms. The paper describes a genetic algorithm, including block design with explanations. The results of a computational experiment are presented with diagrams and a table. In the conclusion gives the experiment results: if the number of parameters to be regulated during optimization increases then the convergence of the genetic algorithm decreases (the number of iterations for which the stop condition is reached increases). This relation is nonlinear.
Structure of the Information-Measuring Complex for Determining the Mutual Position of the Master and Slave Vehicles and Its Calibration
Authors: Zakharova E. A.
Published: September 2023

The information-measuring complex for determining the mutual position of master and slave vehicles is necessary for the functioning of a robotic vehicle as a part of an autonomous convoy. The complex is based on a spatial array of ultrasonic receivers receiving periodically emitted signals by an active ultrasonic beacon with a built-in receiver of the global navigation satellite positioning system. The structure of information-measuring complex is designed to provide free connection of additional modules of ultrasonic wave receivers, included in the spatial array placed on the slave vehicle, without significant changes in the work of the complex as a whole. The number of required modules depends on the design features of the robotic vehicle, as well as on the required viewing angle of the complex. An active beacon, which is a portable device, is attached to its master, which can be another robotic vehicle, being a member of an autonomous convoy, or a human operator. The coordinates of each ultrasonic receiver in the local coordinate system of the slave robotic vehicle are needed to calculate the position and trajectory of the master by the Kalman filter with smoothing according to the Rauch-Thung-Strubel algorithm. To automatize the coordinate measurement process, a procedure for calibrating the spatial array of ultrasonic receivers has been developed. A distinctive feature of the calibration procedure is obtaining the coordinates of the ultrasonic receiver modules in the local coordinate system of the slave vehicle in automatic mode using a reference rangefinder mounted on the slave vehicle. In the course of experimental studies, it was found that the calibration of the information-measuring complex allowed to reduce the systematic component of the error in assessing the position of the master up to three times.
The Method of the Base Price Indexing: Incentive Model of Pricing for Products Supplied under the State Defense Order
Authors: Validov I. R. , Kuznetsov A. L.
Published: September 2023

The article is devoted to the method of the base price indexing a rather new pricing method for products supplied under the state defense order. The main features of this method are legal conditions of use and indexing the whole price according to the name. The method of the base price indexing is considered as an alternative to the costly method, which is mainly used for contracting by the only supplier. The method of the base price indexing is considered as an incentive, it causes the supplier to reduce costs. According to the costly method of pricing, the profit is calculated as 1 percent of cost of materials, components and services and 20 percent of other costs. So, it is supposed that the supplier is not interested in cost reduction as the sum of profit depends on sum of costs. The method of the base price indexing assumes no decomposition by cost items and in the same time the method guarantees the right to maintain additional profits, earned by costs reduction. The paper simulates pricing by the method of the base price indexing and by the costly method. The purpose of the study is identifying additional profit opportunities as the main motivator for suppliers when concluding contracts with pricing by the method of the base price indexing. The conclusion is the suppliers using the method of the base price indexing are interested in costs reduction rather because of the need to maintain the profitability available by the costly method than to earn any additional profit.
Study of Optimization of Operating Modes of Solar Power Plants in the Power System of the Republic of Crimea and Sevastopol with the Possibility of Frequency Control
Authors: Chernyshov A. S. , Guryev V. V. , Yakimovich B. A. , Kuvshinov V. V. , Oleynikov A. M.
Published: September 2023

The relevance of improving the methods of RES integration into power systems is increasing every year, and therefore there is a need to improve the management characteristics of large RES when working in the power system. One of the ways of RES participation is frequency regulation in the power system. With a large percentage of installed RES capacity, this issue is relevant, since RES is of great importance for the management of the power system and ensuring the reliability of power supply. Supported by the Government of the Russian Federation (CDA RES) the number of RES withing the structure of electric energy generation grows yearly therefore increasing its effect on power supply system. Positive trends in the development of renewable energy sources require the System Operator (hereinafter - JSC SO UES) to study the operating modes in advance and work out the technical requirements for them. The experience of operating renewable energy sources in Russia is still not large enough and the regulatory and technical base has not yet been fully formed. This article discusses the basic requirements for renewable energy sources, enshrined in the regulatory and technical base and the problems of meeting these requirements. The article presents the results of studies carried out at the Crimean solar power plant (SPP) in the village of Mityaevo. In the course of the research, the SPP was tested with a general primary frequency control by automatically reducing the output active power of the power plant with an increase in frequency. As a result of the experiments, the possibility of SES participation in the general primary frequency regulation was confirmed, which is an important technical parameter that affects the operation of the power system. The maneuverable characteristics of power plants based on renewable energy sources make it possible to increase the flexibility and resilience of the power system to various fluctuations. The experiments were carried out in order to solve the problems arising in power systems, taking into account the increasing influence of renewable energy sources (RES).
The Use of Intelligent Knowledge Modeling Technologies to Control The Manufacturing Process of Support Frames of Refrigeration Units for Bakery Factory
Authors: Belova Y. N. , Yusupova L. R.
Published: September 2023

The article is devoted to the application of intelligent technologies to improve the quality of production management on the example of the manufacturing process of support frames for the installation of refrigeration units in freezers of bakeries using semi-finished products to ensure production flexibility. The relevance of the task from the point of view of increasing production efficiency, as well as the requirements for digitalization, is substantiated. The approach to the identification of significant objects and conditions of the subject area, in relation to each model, is indicated. The stages and key features of support frames manufacturing are described, which are then formalized and, ultimately, presented in the form of production and semantic knowledge models, on the basis of which it is possible to develop a knowledge base - the core of a decision support system (DSS). The main results of the work are compiled production and semantic models in a graphical representation, giving a holistic view of the modeled process in a complex. According to the production model, it is possible to trace the course of the process with the main possible deviations. The semantic model provides a holistic view of the objects of the subject area and their relationships. The frame model will be presented in further works. Similarly, it is proposed to create models for the representation of knowledge on the main and auxiliary processes of the bakery in order to use them all in complex in intelligent production management systems. The considered approach can be used by a wide range of developers of intelligent systems for food and other industrial productions and is the first and fundamental step in the modern trend of digital transformation of industrial enterprises within the framework of Industry 4.0.
Automated Method of Monitoring the Quality Surface of Glass And Mirrors by Means of Machine Vision Algorithms for Gyroscopic Devices
Authors: Kadyrov I. R. , Krivov A. V. , Melnikov R. V.
Published: September 2023

The paper analyzes the existing devices for surface quality control of products. A variant of machine vision system application in terms of products using glass surfaces with high requirements to the quality of manufacturing are considered. Ready-made solutions are considered and analyzed, their characteristics, advantages and disadvantages are described. The layout of a workstation for obtaining images of the product surface for subsequent software processing was developed. An example of automatic acquisition of surface images for products with complex geometrry is implemented. An algorithm and tool for detecting surface defects and classifying them, by image processing, using specially developed software, is described. The described method of surface assessment is also capable of detecting defects in various surfaces requiring high quality production of these products, and the main limitation is the optical method of obtaining a picture of the surface to be examined. The algorithm is able to work with images of medium and high quality, which allows to use this method of surface assessment with already existing systems that do not have an algorithm for surface assessment, which simplifies the possibility of implementing this system. Combination with other methods of nondestructive testing of products, that allow to obtain surface images, internal area and hidden cavities, it will make possible to analyze the quality of products in a complex way. The ue of machine vision is relevant due to its features, such as: speed of surface quality control, as well as evaluation accuracy. A machine vision system can reject parts much faster and more reliably than a human and can be used as a tool production automation.
Development of Intelligent Climatic System for a Smart Home
Authors: Necheukhina D. M. , Al Akkad M. A.
Published: September 2023

The article is devoted to the solution of optimization and automation problem of temperature selection for accommodation taking into account other possible parameters. Climatic system should select comfortable temperature for a user by analyzing user’s interaction with climatic system equipment; maintain comfortable temperature in the accommodation; inform the user about abnormal situations like equipment failure and possible fire. It is difficult for a human being to determine the exact temperature value in the accommodation, and, consequently, it is difficult to define the temperature value comfortable for him/her, the present climatic system is to optimize and automize temperature selection for an accommodation. Any climatic equipment suits for system operation (a heater, air conditioner and a desktop computer) to install the developed application for system control and a microcontroller connected to the computer. Three temperature sensors and climatic equipment should be connected via switching systems to the microcontroller. To reach the objective, it is required to perform the following tasks: to collect data for prediction, develop a neural network for comfort climate prediction in the accommodation, develop an application to control the system and information about the current temperature, develop a warning system in case of abnormal situations. The present topic of the diploma project was chosen to study the processes of home automation and operation of neural networks. The work resulted in operable climatic system using a microcontroller Arduino. The principal criteria of this work are providing energy efficiency, scalability and simplicity of use. The proposed climatic system is to provide the user with opportunity to select any equipment for his system without bothering about system adjustment as it is equipped intelligent module able to select comfortable climate due to switching equipment on and off.
The Perspective of Binary and Tertiary Artificial Neurons Mutual Application for White Noise Quality Analysis within Hamming Window Convolution Calculated by Different Modules
Authors: Ivanov A. I. , Yunin A. P. , Boyarshinov M. A. , Ivanov A. P.
Published: September 2023

The work is devoted to simplification of binary sequence quality testing, obtained either from physical noise generators, or from instable part of human biometric data. The problem originated from exponential computational complexity of a frequently used test “pressing keys by mistake”. As a result, such a test can be realized only on a powerful computer. The work shows that the simplest testing of white noise quality is performed by counting of units. It can be considered as a special case of Hamming window convolution, calculated by module two in comparison with unit code «111...11». A generalization of this test with its analogues using Hamming window convolutions calculated by modules 2 and 256 was presented. Programs based on MathCAD for performing numerical tests are given. Hamming spectral line probability amplitude distribution was presented. It was suggested to enhance verification of white noise with additional analysis using tertiary artificial neurons. The assessment of benefit from transition to mutual application of binary and tertiary artificial neurons when verifying the white noise hypothesis for one or another binary sequence was given. The calculational procedures considered in the article do not require significant computational resources. They are oriented on low power and consumption reliable microcontrollers of SIM-cards and SD-cards. This is stipulated by linear computational complexity of all tests built on Hamming window convolution irrespectively of module values, they are calculated by. The number of output quantizer levels of one or another artificial neurons has no effect on computational complexity.
Algorithmic Signal Accuracy Improvement of Solid-State Wave Gyroscopes
Authors: Shishakov K. V.
Published: September 2023

Possible ways to algorithmically improve the accuracy of the output signals of solid-state wave gyroscopes of reduced manufacturing quality are discussed - if their resonators have residual mechanical defects in the form of anisotropy of the elastic and damping properties. For this purpose, narrowband amplitude-phase models of oscillations of resonators at the second angular harmonic, recorded in resonant variables, were used. Next, the transition to arbitrary fixed axes, including the instrument axes of the measuring device, is made. A transition to the movable axes of the working and quadrature standing waves was also made to reveal parametric dependencies in the drift function of the output signal of the gyroscope. On this basis, seven main stages of sequential system algorithmic improvement of output signal accuracy are outlined. Among them, the article mainly considers options for combining calibration operations for systematic drift functions of the output signal with new opportunities to improve the accuracy of the signal calculation algorithm. The highlighted options are: the plotting of two-dimensional calibration functions; application of theoretical relations to reduce the complexity of calibration of the drift function; separation of drift functions into calibrated and measured parts. To calibrate the coefficients of the theoretical parts of the drift functions, different models of their identification in the mode of free oscillations of the gyroscope resonator are considered. At the same time, models of oscillations in the movable axes of standing waves and fixed instrument axes were used. Additionally, for the case of a single-electrode parametric excitation system, the possibilities of controlling anisotropy of the elastic and damping properties of gyroscope resonators in the operating mode of exploitation are briefly indicated. The task of identifying the parameters of reference models of oscillations of resonators in order to form alternative algorithms for improving the accuracy of the measurement signal of gyroscopes was also set. The development of the described areas of search for ways to algorithmically improve the accuracy of the signal of solid-state wave gyroscopes with significant residual processing errors of their resonators in practice is expected in the process of their direct development in specific operating conditions.
Generation of Multifunctional Oxide Coatings on Surface of Val10 Alloy in a Polysilicate Solution
Authors: Kalyuzhny D. G. , Palabugin M. V. , Burnyshev I. N. , Bakieva O. R.
Published: September 2023

Experiments on the effective deposition of an oxide-ceramic coating on cast aluminum alloy VAL10 have been carried out, alloowing quick application of hardening coatings that minimize main disadvantages of aluminum alloys, such as low strength and surface hardness. Protective coatings were applied using a LIS-25 laser device with a laser radiation wavelength of 1.06 μm. The substrates had dimensions of 10x10x3 mm. Laser treatment of the samples was carried out in a solution of polysilicate Na2SiO3 of various concentrations. Empirically, the optimal concentration of the solution was clarified. The chemical composition of the prepared sample surface was studied by Auger electron spectroscopy. A JAMP-10 S setup (JEOL, Japan) was used as an Auger microanalyzer. A control sample with treated in air surface was made for comparison. The composition of the coating obtained in a solution of polysilicate, in addition to aluminum, includes: carbon, calcium, oxygen, sodium, silicon. In the form of Auger lines, aluminum is in an oxidized state, and carbon and silicon are in the form of carbide. The coating obtained in a polysilicate solution has significant differences from the coating obtained in air. The coating obtained in a polysilicate solution has a more uniform structure, less roughness, and there are no characteristic craters from laser radiation exposure.
An Ayurvedic Perspective of Tarpana Therapy
Authors: Singh Dr. Tribhuvan , Saini Dr. Manoj Kumar , Tomar Dr. Anil
Published: September 2023

Abstract: Shalakya tantra is a branch of ayurveda which deals with disease and treatment of organ situated above the jatru (clavicle). Under the shalakya tanta kriya kalpa play an important role during treatment. In shalakya tantra different acharyas mentioned about the kriyaakalpa and how are we used this therapy in healthy and which eyes suffering from any type of disease. Acharya have explained various therapeutic procedures which are made by different types of drugs and admitted by different route. Being local therapy with fast action and penetration of drug through ocular tissue, the tarpana is the important therapy
Enhancing Health and Wellness: Deep Learning Powered Exercise Recognition and Tracking
Authors: Salian Priyansh , Naik Krish
Published: September 2023

Abstract: This project aims to develop a React-based web application that enables users to track, analyze, manage, and schedule their workout routines. Additionally, the application incorporates a machine learning model that utilizes the user’s web camera to track their movements and count reps, sets, and calories burned. This innovative feature provides users with a more accurate representation of their workout progress and empowers them to make data-driven decisions regarding their fitness goals. To achieve this, we utilized various technologies such as React for the frontend, Node.js for the backend, and MongoDB for the database. We also integrated TensorFlow.js, an open-source machine learning library, to build the ML model that powers the application’s tracking and analysis capabilities. Furthermore, we designed the user interface using Bootstrap with Vanilla CSS to ensure a responsive and user-friendly experience. Through this project, our primary objective was to address the limitations of existing workout tracking applications that heavily rely on subjective and often inaccurate user input. Our solution offers a more objective and efficient approach to tracking fitness progress. We firmly believe that this technology has the potential to revolutionize the fitness industry. Overall, our project showcases the power of machine learning and its ability to enhance people’s lives in meaningful ways.
Ammonia reduction by different thickness coral shard filter in cultivation of Catfish (Pangasius sp)
Authors: Sabu Desi Maria , Lukas Ade Yulita Hesti , Salosso Yuliana
Published: September 2023

Catfish (Pangasius sp.) is a consumption fish that is quite popular and has a selling value. Fish have tolerance standards for water quantity and quality, so water as a living medium should be managed in aquaculture. One of the water quality parameters that affect the survival of cultured fish is ammonia (NH₃). Ammonia at high concentrations can adversely affect fish, such as reducing the ability of the blood to carry oxygen, damage to body tissues, fish susceptible to disease, inhibiting growth and death. This research aimed to determine the thickness of the coral shard filter, which effectively reduces ammonia (NH₃) in catfish culture. This research was conducted at the Dry Fisheries Laboratory, Faculty of Animal Husbandry, Fisheries and Marine Science, University of Nusa Cendana. The research started from February 2022 - April 2022. The implementation of this research used a Completely Randomized Design (CRD) with 4 treatments and 3 replications, namely: without coral shards filter (A), treatment using a coral shard filter with a thickness of 5 cm (B), coral shard filter with a thickness of 10 cm (C) and coral shard filter with a thickness of 15 cm (D). Results show that filter coral shards treatment with 5 cm thickness can reduce the concentration of ammonia in the cultivation of fish catfish from a score beginning research of 0.02 mg/L to 0.018 mg/L in the end research.
Performance of Biofloc with Different Carbon Sources on the Growth of Catfish (Pangasius sp.)
Authors: Nince Christina Virginia , Lukas Ade Yulita Hesti , Pasaribu Wesly
Published: September 2023

The purpose of this study was to determine differences in carbon sources on the growth of catfish (Pangasius sp). The research design used was a completely randomized design (CRD) with 3 treatments and 3 replications. The treatments used were tapioca flour, corn starch, and wheat flour with a dose of 2 g/l carbon source water, 0.01 ml/l probiotics, and 3 g/l salts. The research variables observed were the growth pattern of catfish (Pangasius sp), the number of floc volumes, and water quality. The results showed that the performance of bioflocs with different carbon sources resulted in different daily growth patterns of catfish in each treatment, where the highest daily growth pattern was in the 60th-day tapioca flour treatment reaching 1.96%/day, corn starch treatment 1.57 %/day, and wheat flour treatment 1.74%/day. The results of water quality measurements for each treatment were still in the optimal range for the life and growth of catfish. Ammonia reduction in tapioca flour treatment was 0.57 mg/l, corn starch treatment was 0.36 mg/l, while in wheat flour treatment there was no reduction in ammonia due to low temperature at the end of the study so it interfered with bacterial metabolism in assimilating nitrogen can still be tolerated by catfish (Pangasius sp).
Measured Catch Blue swimming crab (Portunus pelagicus) Based on the Walter-Hilbron Non-Equilibrium Model) Bangkalan Madura Waters
Authors: Naviah Siti , Huda Samsul , Arini Dyah
Published: September 2023

Blue swimming crab (Portunus pelagicus) as an export product relies mostly on catches, one of which is in Fishery Management Area 712, where this research was carried out. The frequency of fishing efforts continues to increase because of its high economic value; however, there is not much information about the resource as a basis for following up on Law Number 45 of 2009 concerning measurable fish catches based on control output. Descriptive research method with the aim of mapping crab resources based on the "Walter-Hilbron Non- Equilibrium Model" The results showed that the maximum catch production (CMSY) was 63,886.114 kg/year with standard Trammel net fishing gear, intrinsic growth was 50.91%/year, the carrying capacity of the waters was 50195,336 Kg/year, dominant species was Portunus pelagicus, Optimum effort (Eopt) 6363750 trip/year with a resource potential of 25097.668 kg/year. This information forms the basis for resource mapping in order to increase inclusive and sustainable economic growth.
Influence of Awareness of Infection Control and Patient Safety Competencies on Patient Safety Management Activity in Nursing Students
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Park Hye-Seo , Oh Yun-Hee , Chong Moo-Sang
Published: September 2023

Objectives The purpose of this study is to identify nursing students' level of awerence of infection control, patient safety competencies and patient safety management activity and to identify factors that affect the patient safety management activity of nursing students.
Methods This study a descriptive research, method and was conducted from October to December, 2022, with 279 nursing students from two colleges. The collected data were analyzed by frequency and percentage, independent t-test, one way ANOVA, Pearson's correlation coefficients, and multiple regression. All analyzes were conducted using SPSS 22.0.
Results The results of the multiple regression analysis showed that the regression model was significant (F=58.18, p<.001) and that experience in patient safety education (β=.02, p=.034), awareness of the infection control (β=.45, p<.001), and patient safety competency (β=.32, p<.001) explained 44.4% of nursing students' patient safety management activity.
Conclusions The result of imply the need to develop an education program to improve the awareness of infection control and patient safety competency, which will enhance the performance of patient safety management activity of nursing students.
Corporate Liability within the IACC Framework
Authors: Harris Hannah
Published: September 2023

The current proposal for an International Anti-Corruption Court (IACC) provides a much-needed opportunity to assess the current state of global anti-corruption efforts and explore opportunities to enhance the legal mechanisms to combat grand corruption and the harms that it generates. An important element of the corruption equation is the role of corporations as suppliers of bribes to corrupt officials and kleptocrats. These corporations profit from continued public sector corruption and need to be held accountable for their role in contributing to corruption on a grand and global scale. This article argues that the proposal for an IACC should include liability for legal persons (corporations), to strengthen the existing anti-corruption framework and support the emerging norm of corporate responsibility for contributing to crimes with global scope and impact. The article begins with a brief reviewing the proposal by Wolf, Goldstone and Rotberg for the development of an IACC. It then goes on to emphasis the role played by corporations in contributing to grand corruption, making the argument that ignoring their role weakens the potential for the proposed court to achieve its ambitious goals. Following this, the article surveys the existing approaches to corporate liability for bribery, under international and domestic legal frameworks. It then presents possible avenues for inclusion of corporate liability within IACC, noting some of the key challenges including establishing a model for attributing corporate fault and ensuring the operation of the complementarity principle. The goal of the article is to provide a jumping off point for the exploration of corporate liability under international law, arguing that corruption and the development of an IACC provides the perfect opportunity to expand the scope of corporate liability and harden the mechanisms of corporate accountability at the international level.
Book Review: Flavia Staiano, Transnational Organized Crime
Authors: Clark Roger S
Published: September 2023

The reviewer recommends the book as very readable but having a serious flaw in its historial argument.
Analysis of arbitrary superconducting quantum circuits accompanied by a Python package: SQcircuit
Authors: Rajabzadeh Taha , Wang Zhaoyou , Lee Nathan , Makihara Takuma , Guo Yudan , Safavi-Naeini Amir H.
Published: September 2023

Superconducting quantum circuits are a promising hardware platform for realizing a fault-tolerant quantum computer. Accelerating progress in this field of research demands general approaches and computational tools to analyze and design more complex superconducting circuits. We develop a framework to systematically construct a superconducting quantum circuit's quantized Hamiltonian from its physical description. As is often the case with quantum descriptions of multicoordinate systems, the complexity rises rapidly with the number of variables. Therefore, we introduce a set of coordinate transformations with which we can find bases to diagonalize the Hamiltonian efficiently. Furthermore, we broaden our framework's scope to calculate the circuit's key properties required for optimizing and discovering novel qubits. We implement the methods described in this work in an open-source Python package SQcircuit. In this manuscript, we introduce the reader to the SQcircuit environment and functionality. We show through a series of examples how to analyze a number of interesting quantum circuits and obtain features such as the spectrum, coherence times, transition matrix elements, coupling operators, and the phase coordinate representation of eigenfunctions.
Size-dependent growth strategy and allometry, but not diversity, as major drivers of fine-root biomass and productivity across warm-temperate forest types
Authors: Miao Wenhao , Guo Zijian , Lyu Yueming , Wang Xuemei , Wang Xiangping
Published: September 2023

1. Fine roots play a pivotal role in terrestrial carbon and nutrient
cycling. However, our knowledge on drivers of fine-root biomass (FRB)
and productivity (FRP) focus on functional traits, biodiversity and
abiotic factors, while less attention on allometric constraints, an
indispensable driver of organism carbon partitioning. 2. We measured FRB
(FRP) for 24 plots using 216 soil cores (ingrowth cores) from four
forest types (birch, oak, larch and pine) on a warm-temperate mountain
of north China, and investigated leaf, stem and fine-root functional
traits, stand factors, diversity and soil fertility. We tested the
allometric relationships among FRB, FRP, aboveground (leaf) biomass and
functional traits, and examined how allometry, size-dependent growth
strategies, the mass-ratio and complementary effects affected FRB and
FRP directly and indirectly. 3. There is stable allometric relationship
between FRP and FRB at both the soil-core and plot levels, and the
former supported the predicted exponent for leaves (=1) of the metabolic
scaling theory. Contrary to common observations, plot-scale FRB and FRP
showed negative (or non-significant) relationships with aboveground
(leaves) biomass. Instead, higher aboveground biomass led to more
conservative growth strategies, which led to lower FRB, and thus lower
FRP due to allometric constraints. Root traits (mass-ratio effect)
showed the strongest direct effect on FRB, while diversity
(complementary effect) and soil fertility revealed weak effects. FRP was
strongly driven by allometry (FRB) and soil nitrogen, while functional
traits and diversity affected FRP via FRB instead of directly. 4. Our
results do not conflict with the positive correlations of FRB (FRP) with
aboveground (leaf) biomass reported by large-scale studies, but together
suggest changes of growth strategies with tree size vs. climate, which
may affect aboveground-root relationship simultaneously. Thus, we
suggest to carefully test allometric relationships to better understand
how biodiversity, traits and stand factors affect fine-root dynamics.
On training spiking neural networks by means of a novel quantum inspired machine learning method
Authors: Sellier Jean Michel , Martini Alexandre
Published: September 2023

In spite of the high potential shown by spiking neural networks (e.g.,
temporal patterns), training them remains an open and complex problem
[1]. In practice, while in theory these networks are computationally
as powerful as mainstream artificial neural networks [2], they have
not reached the same accuracy levels yet. The major reason for such
situation seems to be represented by the lack of adequate training
algorithms for deep spiking neural networks, since spike signals are not
differentiable, i.e. no direct way to compute a gradient is provided.
Recently a novel training method, based on the (digital) simulation of
certain quantum systems, has been suggested. It has already shown
interesting advantages, among which the fact that no gradient is
required to be computed. In this work, we apply this approach to the
problem of training spiking neural networks and we show that this recent
training method is capable of training deep and complex spiking neural
networks on the MNIST data set.
Plant Bioassay in cytogenetic monitoring for the review of the Environmental toxins
Authors: Jahanzaib Muhammad , Tarish Mariam , Ali Rania Tawfiq , Badar Zarreen , Naz Sumera , Mutery Abdullah Al
Published: September 2023

Throughout history, human beings have caused irreversible changes to the
environment. However, with the emergence of modern science in recent
decades, scientists have been able to quantify the extent of these
changes. It is therefore crucial to monitor the environment
comprehensively in order to establish laws and standards that ensure its
cleanliness. Traditional chemical analysis methods often do not adhere
to the twelve principles of Green Chemistry, are costly, and involve
large amounts of toxic and harmful solvents that can harm the
environment. As a result, it is essential to develop reliable analytical
techniques that meet the requirements of Green Analytical Chemistry,
complement, or replace traditional classical methods, and are
environmentally friendly. Bioassays offer a potential alternative. It
has long been acknowledged that high plants, particularly Vicia faba,
are excellent genetic models for identifying mutagenic and cytogenetic
agents and are commonly used in environmental monitoring studies. V.
faba-based bioassays have been employed to investigate the DNA damage
caused by various substances, such as metal compounds, pesticides,
complex mixtures, petroleum derivatives, toxins, nanoparticles, and
industrial effluents, resulting in chromosomal and nuclear errors. V.
faba’s test system is widely used to assess toxic agents due to its
numerous advantages, and it has become a crucial bioassay for
ecotoxicological studies. The aim of this study was to demonstrate how
V. faba bioassays can be complementary alternatives to traditional
analysis methods, satisfy Green Analytical Chemistry criteria, and
comply with environmental monitoring laws and regulations.
INFLUENCE OF e-HRM POST-ADOPTION BEHAVIOUR TO ABC MUNICIPALITY'S HRM STRATEGY
Authors: Magoro Hangwani , Phahlane Mampilo
Published: September 2023

The purpose of the paper is to examine the influence of electronic-Human
Resource Management (e-HRM) post-adoption behaviour in ABC
Municipality’s HRM strategy. The study adopted a qualitative and a case
study approach. Semi-structured interviews were used to collect data at
ABC Municipality from Top management, HR Practitioners in the HR
department. Official documents (Strategic plan documents and e-HRM
manuals) were also analysed to uncover how e-HRM was adopted and how it
influences HRM strategy at ABC Municipality. The study discovered that
the e-HRM’s post – adoption behaviour aligned well with the strategic
goals that the HRM department seeks to achieve. The study was only done
in Gauteng Province at ABC, meaning the study only covered one province
and only one government entity. Generalizations on findings could not be
made as they may not apply to other organisations, private or
government. The study investigated e-HRM post-adoption behaviour’s
influence to the HRM strategy at ABC Municipality based on the SCT
perspectives. The study findings show that behaviour (affect), personal
(self-efficacy, anxiety and outcome expectations) and environmental
(social influence) (as SCT factors) played a significant role in
ensuring e-HRM post-adoption behaviour at ABC Municipality. Top
management support, end-user involvement in innovation
initiatives/technology roadmaps presentations, engagements with trade
unions, HR support’s availability factors also influenced the
post-adoption behavior. To help improve e-HRM post-adoption behavior at
South African municipalities, municipalities should consider these
factors when implementing systems aimed at supporting HR department’s
end-users to embrace Information and Communications Technology (ICT) in
general, in this instance the e-HRM.