bluuebunny/crossref_metadata_2025 huggingface dataset:
PKM INDUSTRI KACANG METE TAMAN MOJO DUSUN MOJOLEGI, KARANG TENGAH, IMOGIRI, BANTUL
Authors: Sriyadi Sriyadi , Ikhsan Jazaul
Published: October 2022

Dusun Mojolegi, Desa Karangtengah, Imogiri, Bantul, terdiri dari 6  RT, 240 KK. Penduduk Dusun Mojolegi sebagian besar petani, urutan berikutnya buruh, pedagang, pengrajin dan beberapa menjadi PNS.  Salah satu potensi yang dimiliki Dusun Mojolegi adalah luas perkebunan Jambu Mete yang mencapai 100 hektar.  Sebagian besar petani mete menjual biji mete kepada pengrajin kacang mete. Pengrajian kacang mete di Dusun Mojolegi tergabung dalam Kelompok Industri Rumah Tangga Taman Mojo. Para pengrajin selain mengolah  biji mete hasil budidaya sendiri juga mengolah biji mete hasil budidaya dari para tetangganya. Permasalahan yang dihadapi pengrajin Kacang Mete Taman Mojo adalah, (1) selama ini kacang mete yang dihasilkan hanya untuk memenuhi pesanan para konsumen saat punya hajatan atau Hari Raya Idul Fitri, dan (2) kemasan yang digunakan masih tradisonal hanya dibungkus plastik tanpa kemasan yang menarik.  Solusi yang ditawarkan berupa fasilitas pembuatan kemasan yang menarik, fasilitasi penggunaan siller kemasan plastik, dan konsultasi, serta pendampingan. Hasil pengabdian menunjukkan bahwa fasilitasi pembuatan kemasan yang menarik dan  fasilitasi penggunaan siller kemasan plastik diikuti dengan antusias oleh para pengrajin. Kepada para pengrajin diserahkan bantuan berupa 10 set platik kemasan yang menarik dan mesin siller. Perlu pendampingan perguruan tinggi yang berkesinambungan demi keberhasilan pemasaran dengan penggunaan mesin siller.
Hybrid SIRS model of infection spread
Authors:   Saratov State University, Shabunin Aleksej
Published: October 2022

Purpose of this work is to build a model of the infection spread in the form of a system of differential equations that takes into account the inertial nature of the transfer of infection between individuals. Methods. The paper presents a theoretical and numerical study of the structure of the phase space of the system of ordinary differential equations of the mean field model. Results. A modified SIRS model of epidemic spread is constructed in the form of a system of ordinary differential equations of the third order. It differs from standard models by considering the inertial nature of the infection transmission process between individuals of the population, which is realized by introducing a «carrier agent» into the model. The model does not take into account the influence of the disease on the population size, while population density is regarded as a parameter influencing the course of the epidemic. The dynamics of the model shows a good qualitative correspondence with a variety of phenomena observed in the evolution of diseases. Discussion. The suggested complication of the standard SIRS model by adding to it an equation for the dynamics of the pathogen of infection presents prospects for its specification via more precise adjustment to specific diseases, as well as taking into account the heterogeneity in the distribution of individuals and the pathogen in space. Further modification of the model can go through complicating the function which defines the probability of infection, generation and inactivation of the pathogen, the influence of climatic factors, as well as by means of transition to spatially distributed systems, for example, networks of probabilistic cellular automata.
Sumac (Rhus Coriaria) and Dyslipidemia
Authors: Khani Shiva , Lesani Azadeh , Gerami Hadis
Published: October 2022

The Article Abstract is not available.
Investigating the Possibility of Producing Nitrite-Free German Sausages Containing Different Concentrations of Cochineal Pigment Alone or in Combination with Cumin Essential Oil
Authors: Nateghi Leila
Published: October 2022

Background: Many of the most common cancers, such as prostate and breast cancer are due to the presence of harmful agents and compounds in processed foods, including nitrite. In this research the physicochemical, antioxidant, and color properties of sodium nitrite-free sausages containing different concentrations of cochineal pigment alone or in combination with cumin essential oil were studied and compared with the control sample containing sodium nitrite.
Methods: The extract of cochineal pigment in concentrations 200 ppm, 400 ppm, and 600 ppm alone or with 0.004 % w/w of essential oil of cumin were added to 40% red meat German sausage and physico-chemical, antioxidant, and color changes of the samples during 1, 10, 20, and 30 days after production (in refrigerator conditions) were compared with the control (without cochineal pigment, essential oil of cumin, and 120 ppm sodium nitrite) sample.
Results: The findings of the study showed that this substitution did not have a significant (P > 0.05) effect on physico-chemical properties, and by increasing the concentration of cochineal pigment in the samples, the antioxidant properties of the samples significantly increased. The samples containing 400 or 600 ppm of cochineal pigment with 0.004 %w/w of cumin in the formulation were not significantly different from control sample in terms of antioxidant properties and were selected as superior treatment.
Conclusion: It is possible to produce a healthy German sausage without nitrite by using cochineal pigment and cumin essential oil.
The Effects of an Educational Intervention Based on Poetry, Game, and Problem-Solving Skills on Promoting Nutritional Knowledge and Behavior in Iranian Primary School Students
Authors: Shirin Ameneh , Joveini Hamid , Hashemian Masoumeh , Kooshki Akram , Rakhshani Mohammad Hassan , Sharifi Nader , Rohban Alireza
Published: October 2022

Background: Current educational techniques may have a few effects on dietary habits and food preferences in adolescents, so by designing an educational attractive program, nutritional knowledge can be significantly enhanced. This study aims to investigate the effect of a structured educational intervention based on poetry, game, and problem-solving skills on promoting nutritional knowledge, and behavior in primary school students.
Methods: This experimental study was conducted on 120 primary school students aged 10-12 years in Sabzevar, Iran, in 2019. The participants were selected through multi-stage random sampling and divided into experimental (EG, n=60) and control (CG, n=60) groups. The data collection tool was a researcher-made questionnaire consisting of three sections (demographic characteristics, nutritional knowledge section, and nutritional behavior section). The validity and reliability of the questionnaire were checked and confirmed. The educational program, including educational poems, a "road to health" game, and problem-solving skills, was designed. The EG received a self-directed educational program. Both groups completed the questionnaires before and one month after the intervention.
Results: After the intervention, the mean scores of nutritional knowledge and nutritional behaviors significantly improved in the EG compared to the CG (P < 0.05). Moreover, after the intervention, the mean score of nutritional behavior in the EG significantly improved compared to before the intervention (P < 0.05). The highest percentage in mean scores in the food pyramid groups was related to the consumption of vegetables (27%), consumption of milk and dairy products (26%), non-consumption of low-value snacks (13%), and non-consumption of sugar and candy (11%), respectively.
Conclusion: The educational program based on poetry, game, and problem-solving skills can be practical, attractive, and cost-effective for promoting nutritional knowledge and behavior in adolescents.
Behavior of Earthquake Damage Steel Structures in Fire
Authors: Suwondo Riza , Cunningham Lee , Gillie Martin , Bailey Colin
Published: October 2022

Fire following an earthquake (FFE) has become a major threat for building, particularly in seismic areas. Many FFE events have caused a high level of damage and casualties. On the other hand, current design codes do not support a specific loading case for FFE. Moreover, the modern design philosophy for seismic design allows a certain level of damage that may affect the structure's vulnerability during a post-earthquake fire. Many previous studies have investigated the structural behavior of the building under FFE. This study is intended to showcase, theoretically and practically, the numerical analysis methods used in previous studies. The main objective is to improve the understanding of the performance of steel structures under a post-earthquake fire. A brief historical review of the numerical analysis methods is presented. It is observed that there are four stages of analyses adopted in the previous studies, which are structure system, earthquake analysis, fire analysis, and evaluation. However, different concepts and methods have been used in every stage. This study discusses the advantages and disadvantages of the design concept and the numerical analysis method. It was found that the key aspect of fire following an earthquake analysis is interpreting earthquake damage as an initial condition for the subsequent fire action. The 3D model is required since the composite slabs have a significant role in the frame's survival through tensile membrane action. Furthermore, several parametric fires must be considered to simulate a fire event after an earthquake.
The Modified Structural Quasi Score Estimator for Poisson Regression Parameters with Covariate Measurement Error
Authors: Novkaniza Fevi , Notodiputro Khairil Anwar , Mangku I Wayan , Sadik Kusman
Published: October 2022

This article proposed the Modified Structural Quasi Score (MSQS) estimators for Poisson regression parameters when a covariate is subject to measurement error. We study the situation when the true covariate in the Poisson regression model is unobserved, and the surrogate for this covariate is related to the true covariate by the additive measurement error model. We assumed that true covariate as a random variable with unknown density function distribution and its observable values as surrogates, which also has Poisson distribution. We applied the Empirical Bayes Deconvolution (EBD) method for estimating the true covariate density with a finite discrete support set. To estimate Poisson regression parameters, we construct an MSQS estimating equation based on proper functions for the mean and variance of the Poisson distributed surrogate. The MSQS estimator for the Poisson regression parameter is the root of the quasi-score function based on the quasi-likelihood method. We did some simulation scenarios for assessing the MSQS estimator by assuming the true covariate comes from Gamma distribution as a conjugate before Poison distribution. We compute the standard error of the mean, standard deviation, and bias of the MSQS estimator for various sample sizes to examine the estimator's appropriateness. The simulation showed that a combination of the finite discrete support set of surrogates based on the range values and smaller-scale parameter of Gamma distribution yields smaller values of bias estimator and the estimated standard deviation.
Performance of Soybean Genotypes in the Acidic Dryland and Wetland
Authors: Adie M. Muchlish , Baliadi Yuliantoro , Yusnawan Eriyanto , Wijanarko Andy , Krisnawati Ayda
Published: October 2022

The agroecosystem for soybean cultivation in Indonesia is diverse, such as the acidic dryland and the wetland after rice cultivation. This research aims to evaluate the performance of seed yield and agronomic traits and identify soybean genotypes with good adaptation in the acidic dryland and wetland environments. Twelve soybean genotypes were evaluated for their yield and yield components in Lampung (dry land) and Banyuwangi (wetland). The result showed the similarity in the days to flowering and maturity between land types. The average performance of the plant height, number of branches, number of fertile nodes, and number of filled pods in the wetland was higher than in the acidic dryland. The average 100 seeds weight in acidic dryland and wetland were 13.00 g and 17.13 g, respectively. The seed yield in the acidic dryland and wetland were 2.12 t/ha and 3.37 t/ha, respectively. Based on the seed yield, there were three groups of adaptive genotypes. The first group consists of genotype adaptive in the acidic dryland (SPL-186, 2.85 t/ha), the second group consists of genotype adaptive in the wetland, namely (SPL-183, 3.59 t/ha), and the third group consists of genotypes adaptive in both land types (SPL-182 and SPL-181, 3.05 and 3.07 t/ha, respectively). The SPL-182 and SPL-181 maintained their high potential yield both in the acidic dryland and wetland, implying adaptable genotypes. Those genotypes are recommended to be developed in acidic dryland as well as the wetland. These findings pave the way for increasing soybean yield productivity.
Delay Time (Î´t) and Polarization Direction (Ï†) Analysis Based on Shear Wave Splitting (SWS) Method
Authors: Utama Widya , Garini Sherly Ardhya , Kurnia Valda Anggita , Lestari Wien , Warnana Dwa Desa
Published: October 2022

The information of dominant polarization direction and the mapping of fracture intensity are among the most important informations during the monitoring of geothermal field reservoir evaluation, as an effort to develop geothermal energy production. The appearance of geothermal reservoir fractures caused by fluid injection and the production activity resulting in the decreased pore pressure and appearance of open weak zone. The micro-earthquake activity around the area can represent these fractures that appear in the geothermal reservoir. Shear Wave Splitting (SWS) analysis can be done based on the polarization of S wave through the anisotropy medium recorded by seismograph. There are two parameters related to Shear Wave Splitting: the polarization direction (Ï†) related to the micro fracture direction with its delay time (Î´t), showing the fractures density and its permeability area. The result of Shear Wave Splitting Analysis of the field X geothermal shows that two dominant polarization directions are NW-SE and NE-SW. It is caused by the fractures around the X field geothermal with similar fractures direction, and it is compatible with the distribution micro-earthquake hypocenter of the previous study. Based on the map of fractures intensity, the value range shows a relatively dense intensity value around 6.6 â€“ 8.0 ms/km. The high value of intensity fractures indicates a high value of anisotropy around the area, and it is also confirming the presumption of the high permeability potential of the X geothermal field.
Potential Use of Cross-flow Microfiltration System in Separation of Functional Compound from Fermented Beetroot (Beta vulgaris L.) as Natural Oxidation Prevention
Authors: Susilowati Agustine , Aspiyanto - , Maryati Yati , Melanie Hakiki
Published: October 2022

This study was conducted to determine the potential utilization of microfiltration (MF) membrane in separating functional compounds from beetroot (Beta vulgaris L.) biomass as a functional drink for natural oxidation prevention. Separation was performed through MF membrane (pore size of 0.15 µm) at room temperature, flow rate ~7.5 L/min, and TMP 2 and 6 bar for 0, 5, 15, 25, and 35 minutes. The results showed that process optimization based on gallic acid as total polyphenols and acetic acid were achieved at TMP 2 and 6 bar for 35 minutes, respectively. At TMP 2 and 6 bar produced retentate with acetic acids 1.24 and 0.95%, gallic acid 0.42 and 0.41%, total solids 3.49 and 3.47%, total sugars 36.64 and 44.66 mg/mL, pH 3.11 and 3.10, and inhibiting ability of 62.45 and 58.48%, respectively, meanwhile permeate had acetic acid 0.73 and 0.82%, gallic acid 0.31 and 0.33%, total solids 3.39 and 3.38%, total sugars 40.95 and 61.56 mg/mL, pH 3.12 and 3.13, inhibiting ability of 47.62 and 52.43%, respectively. In these conditions, CF-MF is technically able to retain acetic acid (2.63-folds) and gallic acid (1.21-folds) in the retentate and increase inhibition by 25.12 and 11.25% in comparison with the initial process (0 minutes). The LC-MS analysis of permeate at TMP 2 and 6 bar for 35 minutes were predominated by monomers of acetic acid and gallic acid with MW 61.2450 Da. (M+) and 193.0327 Da. (M+Na+) and relative intensities 100 %.
Double Production of Shallot (Allium cepa L var. aggregatum) based on Climate, Water, and Soil Management in Sandy Land
Authors: Sutardi - , Pramono Joko , Widodo Sugeng , Martini Tri , Alifia Annisa Dhienar , Apriyana Yayan , Rejekiningrum Popi , Setyowati Nanik , Hanafi Hano
Published: October 2022

The objective of this study was to double production by True Shallot Seed (TSS) in sandy land agro-ecosystems, widely adapted especially in temperate climate regions. Even though vegetative planting has been carried out using tubers in rice fields and dry land in Indonesia, not much has been done on sandy land. Another research gap also presents from the considerably low actual productivity (10-15 t ha-1) that still can be doubled (>20 - 30 t ha-1) in sandy land. The study used three varieties (Lokananta, Bima, and Trisula) and carried out in three stages: characterization and identification of soil biophysical properties, an in-site study of the seed nursery system of TSS, and an assessment of cultivation development based on plant populations increasing production. This study resulted in TSS productivity 30.66-236.00% higher than average national productivity for all three varieties; this is a novel finding. TSS productivity on sandy land ranging from 14.831 to 28.178 t ha-1 was above the national average production at 10.48 t ha-1 of bulb-seed originated shallots. Thus, this result indicates that TSS seed planting system is more profitable, particularly for shallot seed producers (traders and farmers), aside from saving transportation costs. Another benefit is supporting planning and agronomy development, especially the progress of planting shallot from seeds in Indonesia.
Grout Curtain Construction at Tiddas Dam, Morocco
Authors: Ben Tahar Maha , Bahi Lahcen , Ouadif Latifa , Kasri Jada El , Aqil Mohammed
Published: October 2022

Dam foundations are generally affected by water leakage and seepage, posing a significant threat to the structure's safety. Such an artificial water reservoir unconditionally assumes a watertight foundation, as perfect as possible, to ensure its stability. This brings us back to thinking about an adequate treatment of the foundation through the injections of the grout curtain, which ensures the watertightness of the ground and a good drainage system, which together improve the unacceptable mechanical and hydraulic properties of the foundation. Our study focuses on the Tiddas Dam, a dam in the region of Khemisset located on the Bouregreg oued, intended to supply drinking and industrial water to the region of Rabat and Casablanca. It has been the subject of several geological and geophysical studies to characterize its foundation and the lithological variety known to the site. Environmental constraints and the development of a network of fractures and faults have made it necessary to think of an innovative solution for the waterproofing of the dam, especially on the right bank, ensured by a grout curtain of well-defined dimensions considering all the factors affecting this bank. The paper presents the particularities of the site, the constraints of the design of the grout curtain of a dam in a fractured environment, the choices of this design and the sizing methods used, as well as the appropriate grouting formula, which together could optimize the consistency of the grouting works.
Performance and Prospects of Mobile Rice Mill Unit
Authors: Haryanto Agus , Adi Sapta Prasetia , Suharyatun Siti , Wisnu Febryan Kusuma , Telaumbanua Mareli
Published: October 2022

Rice milling is one of the important steps in post-harvest operations to get good quality white rice. As an innovation in improving customer service, a mobile rice mill unit (MRMU) has recently been operated in various rice-producing areas. The objective of this study was to evaluate the performance and prospects of MRMU based on technical and economic analysis. The research was conducted in East Lampung Regency, Lampung, Indonesia, by observing three MRMUs. Each mill was observed for three working days to obtain MRMU performance data, namely grain quality, milled yield, working time, fuel consumption, working capacity, and quality of white rice produced. Other information includes machine price, the machine age, estimated economic life, investment, interest rate, fuel consumption, operator wage, milling charge, and repair and maintenance costs. Results showed that MRMU had an actual capacity between 63.29-98.82 kg/hour with a milled yield between 60.41-64.96%. The white rice produced has a proportion of head rice 58.26-61.42%, with a whiteness index less than the SNI for rice quality standards. The unit cost of the rice milling process using MRMU was an average of 457.91 IDR/kg. At a milling charge of 666.67 IDR/kg, the operation of MRMU is economically feasible at an annual working hour higher than 1000 h. In addition, the MRMU operation was not economically acceptable at a milling charge of 500 IDR/kg. With the rapid growth in the rice milling numbers, an unbiased regulation is required to avoid unhealthy competition among the MRMU enterprises.
Morphological in situ Characterization of Mortiño (Vaccinium floribundum Kunth) in the Andes of Ecuador
Authors: Vasquez-Castillo Wilson , Ayala Kerly , Almeida Marcelo , Barrientos-Priego Alejandro F. , Moncayo-Moncayo Pablo , Monteros-Altamirano Álvaro
Published: October 2022

Vaccinium is one of the largest in the Ericaceae family, distributed worldwide. Mortiño (Vaccinium floribundum Kunth) is an Andean fruit threatened by agriculture, livestock, and forestry activities, causing genetic erosion. The importance of the mortiño fruit is also because of its nutritional composition due to its high content of functional compounds in comparison to other Andean fruits. The characterization of a species allows scientists to estimate the population’s genome variability. The morphological characterization reveals important distinctive morphological features, some of which will promote the species’ commercial value. This study aims to apply morphological and agronomic descriptors to mortiño in situ in the paramos of Ecuador. Three locations in three different provinces of the Ecuadorian highlands were selected: San Pablo in Imbabura, Atacazo in Pichincha, and Quilotoa in Cotopaxi, all located between 3200 and 4050 masl. Forty-two descriptors were registered in 15 mortiño populations, of which 16 were quantitative and 26 qualitative. The results demonstrated the existence of two morphological groups of mortiño, the first formed by populations in Imbabura and the second by those in Pichincha and Cotopaxi. The discriminating descriptors of the mortiño plants in the three locations were: the altitude of the site, total soluble solids, and acidity of the fruit, plant height, growth habit, and flower characteristics. The floral formula of the mortiño is K (5); C (5); A (7); G (3). To the best of our knowledge, this study is the first comprehensive morphological description of Andean Vacccinium floribundum.
Leaf Characterizations of IRR 400 Series, BPM 24, and RRIC 100 Rubber (Hevea brasiliensis Muell. Arg.) Clone Using Leafgram Method
Authors: Pasaribu Syarifah Aini , Basyuni Mohammad , Purba Edison , Hasanah Yaya
Published: October 2022

Leaf characterization of rubber clones needs to be done from the start, especially for plants in the budwood garden. This function is to produce genetically pure and original plants. The purpose of this study was to characterize the IRR series 400, RRIC 100, and BPM 24 clones based on leaf character using the leafgram method. The types of clones that were characterized were IRR 425, IRR 428, IRR 429, IRR 434, IRR 440, RRIC 100, and BPM 24. The leaves characterized were the middle leaves of each clone as many as 50 leaves per clone, divided into three replications. The leaf characters observed were length, width, top fold point, center point, left strand, large, apex angle, vein angle, basal angle, apex kite angle, basal kite angle, ratio length/width, ratio length/top fold point, ratio left strand/large/ ratio left strand top fold point, ratio left strand/center point, ratio top fold point/large, ratio top fold point/center point, ratio apex/basal angle, ratio vein/apex angle, ratio vein/basal angle and ratio apex kite/basal kite angle. Data were analyzed using MINITAB 16 software and Microsoft Office 2010. The characterization results showed that the distinguishing characters that can be used as characteristic of characters are width, left strand, apex angle, basal angle, ratio length /width, ratio left strand/top fold point, ratio left strand ratio/center point, ratio top fold point/large, ratio apex/basal angle, ratio vein/apex angle, and ratio vein/ basal angle.
Exploring the Substitution Effect of Ride-Sourcing in Commuting and Transport Stations Trips: Learning from Evidence in Bandung City, Indonesia
Authors: Maulana Andrean , Rizki Muhamad , Purwanti Oka , Farda Muhammad
Published: October 2022

Ample evidence shows that ride-sourcing can substitute the existing transport system (i.e., public transport or private transport). However, the effect of the type of trip (i.e., commuting or transport station trips) on this substitution is still not fully understood. Therefore, this study aims to investigate the substitution effect of ride-sourcing based on the type of trip, i.e., commuting trips as well as trips to transport stations (e.g., the airport, terminal, rail station), conducted by private vehicles and public transport services. The effects of socio-demographics, spatial characteristics, and attitude were integrated into the discriminant model to explore this further. For this purpose, this study collected data from a questionnaire distributed to ride-sourcing users in Bandung in 2020. Discriminant and multivariate analyses are used to investigate the substitution effect of ride-hailing. It is found that the substitution of private transportation occurs for high-income online transport users and longer trips. Moreover, people who previously used public transportation are associated with users who experience increased productivity. Ride-sourcing vehicles, such as online taxis, provide more space for activities. In addition, a lack of access to other transportation tends to be associated with public transport users rather than private vehicle owners. Public transport users can experience increased productivity because the travel time is significantly reduced when ride-sourcing is used. The improvement of public transport, specifically for people who are carrying more belongings and have more intense and widespread activity participation, is then suggested by this study.
Soft Set Parametric-based Data Clustering for Building Data Set
Authors: Yanto Iwan Tri Riyadi , Azhari Ahmad , Saedudin Rohmat , Novita Sari Sely , Mat Deris Mustafa , Senan Norhalina
Published: October 2022

Identifying buildings for safety purposes is critical to anticipate unforeseen scenarios during a disaster. Rapid Visual Screening (RVS) is one of the procedures that can be used to determine a building's hazardous structure. The growing number of buildings necessitates grouping to provide recommendations for improving the analysis or conducting a more extensive review of the same building group. This article investigates the application of fuzzy clustering to the RVS dataset. Numerous strategies are compared, including fuzzy centroid clustering, fuzzy K-partition clustering, and multi-soft set clustering. The technique is applied to the RVS data set from Kulon Progo, Yogyakarta, which has 144 cases for grouping construction. Four clusters are formed from four distinct variables with fewer conditions: Plan Drawing, Floor Plan, Connection, and Stance. The experiment is based on the rank index, the Dunn index, and response time. The results indicate that multi-soft set-based clustering outperforms other baseline approaches. The investigator or government can utilize this information to suggest treating each cluster's "less" variable.
Heart Disease Prediction Using Genetic Algorithm with Machine Learning Classifiers
Authors: Metwally Basant Abdel Menem , Mekky Nagham Elsayed , Elhenawy Ibrahim Mahmoud
Published: October 2022

Based on the world health organization (WHO), heart disease is the major reason for the loss of life everywhere on earth. Heart attacks are the leading reason of loss of life among heart diseases. This disease is called a silent disease. The person does not feel any pain until the last level of sickness and may arrive at death if not saved at the right time. The datasets for this disease are becoming available, so it is a particularly good branch of study. Predicting a heart attack for a medical practitioner is difficult since it requires increased expertise. However, over the last few decades, resolving complicated, extremely non-linear classification and prediction problems have been using machine learning algorithms (ML). Hence, it is feasible to establish a prediction model that would see the existence or nonexistence of heart disease based on many heart-related symptoms (features). The essential contribution of this research is to introduce various prediction models for heart disease using a genetic algorithm (GA) to find optimal features combined with classical machine learning techniques. The optimized prediction model uses a genetic algorithm that performs better than classical models. The execution of the algorithms is tested using Cleveland and Framingham datasets. The prediction models' performance is standardized using three evaluation criteria: accuracy, precision, and recall. The proposed system showed superior performance compared with other related systems. It reached an accuracy of 100% for the Cleveland dataset and 91.8% for the Framingham dataset.
Survival Rates of Oryzias Celebensis Embryo Reared in Different Media in an Attempt to Provide Embryos for Ecotoxicological Studies
Authors: Yaqin Khusnul , Lalombo Yulia Indasari , Andy Omar Sharifuddin bin , Rahim Sri Wahyuni , Sari Dwi Kesuma
Published: October 2022

Fish embryos from the genus Oryzias have long been used as animal models in ecotoxicological research. Research on the survival rate of Oryzias celebensis embryos in different rearing media has been carried out. In this study, the media used were embryo rearing medium (ERM), bottled water (BW), Pattunuang river water (PRW), and well water (WW). The data obtained is analyzed with a one-way ANOVA statistical test and descriptive analysis in the form of tables and figures. The results of this study indicated that the embryogenesis processes of O. celebensis in all media were faster than the development of O. latipes, which was used as a reference for embryogenesis observations. The yolk volume in each medium decreased in size along with the development of the embryogenesis phases. The results of the one-way ANOVA statistical test showed that the rearing medium was significantly different (P0.05) on the parameters of survival rate of the embryo (SRe) and total larval length. The water quality of the rearing medium was still in a condition that the O. celebensis embryos could tolerate except for the concentration of CaCO3, which could affect the hatching time. This study concludes that embryo rearing medium (ERM) solution is the best medium for rearing O. celebensis embryos for ecotoxicological studies. The hatching time parameter of the O. celebensis embryo has the potential to be used as a biomarker in ecotoxicological studies.
Dynamic Study and PI Control of Milk Cooling Process
Authors: Agustriyanto Rudy , Mochni Endang Srihari
Published: October 2022

The background of this research is to understand the operation process, which is the main goal of developing the process model. This model is often used for operator training, process design, safety system analysis, or control system design. The dynamic model of the milk cooling process from 36ËšC to 4ËšC using chilled water available at 2ËšC was performed. Chilled water was maintained at a constant temperature by using a refrigerant unit. The process being investigated was a Packo brand milk cooling tank belonging to KUD SAE Pujon (Malang - Indonesia). A fundamental heat balance method was used to derive the model, leading to a first-order transfer function process. For a 2-hr cooling process, the gain and time constant values are 1.00 and 42.3548 mins, respectively. Heat balance was then extended to continuous processes so that its transfer function could also be obtained. This study simulated and investigated the behavior of batch and continuous processes. Process Identification via input-output data was also introduced for continuous process. The process model obtained from the system identification toolbox was very useful in control, such as for determining tuning parameters via the Ziegler-Nichol method for Proportional-Integral control. However, a small delay was required to be introduced to the system as the first order process without time Ziegler Nichol method cannot be implemented. Further research may include other system identification methods, such as ARX, ARMAX, Output-Error, Box Jenkins etc., or implementing advanced process control for milk cooling.
Identifying Water Pollution Sources Using Real-Time Monitoring and IoT
Authors: Rosa Sri Listia , Abdul Kadir Evizal , Siswanto Apri , Othmand Mahmod , Daud Hanita
Published: October 2022

Water is a natural resource essential for basic human life; however, water pollution is deteriorating in major water sources, such as rivers, seas, and lakes. This study evaluated and identified specific pollution sources owing to numerous industrial and other potential sources of pollution along the enormous length of a Siak river. A water pollution detection system was installed and deployed at river measurement stations having the potential to pollute, particularly near industrial sites releasing chemicals and wastewater. Data obtained from the system was analyzed using an algorithm to detect and assess any abnormal behavior change in the data over time. Six detection systems were deployed around the river, primarily in residential and industrial areas. As the studied river is one of the deepest in Indonesia, this research focused only on analyzing and identifying the sources of polluted water around Pekanbaru where many people, including water supply companies, utilize the river water. Water pollution sources were identified at sensor nodes two and four, which indicated through abnormal data that various types of material were present in the river and were detected using the sensors system. Several processes are required to improve the location data accuracy, e.g., improving the algorithm using training data, performing several iterations, increasing data from the sensor, and repeating the process many times to establish the source coordinate, as shown in the results.
Designing Hybrid CNN-SVM Model for COVID-19 Classification Based on X-ray Images Using LGBM Feature Selection
Authors: Hartini Sri , Rustam Zuherman , Hidayat Rahmat
Published: October 2022

COVID-19 still exists at an alarming level; hence, early diagnosis is important for treating and controlling this disease due to its rapid spread. The use of X-rays in medical image analysis can play an essential role in fast and affordable diagnosis. This study used a two-level feature selection in hybrid deep convolutional features obtained from the extraction of X-ray images. The transfer learning-based approach was implemented using five convolutional neural networks (CNNs) named VGG16, VGG19, ResNet50, InceptionV3, and Xception. The combination of two or three CNNs' performance as a feature extractor was then carefully analyzed. We selected the features obtained from multiple CNNs in a particular layer with a specified percentage of features in the first level for getting relevant features from various models. Then, we combined those features and did the second level of feature selection to select the most informative features. Both levels of feature selection were carried out using the light gradient boosting machine (LightGBM) algorithm. The final feature set has been used to classify COVID-19 and non-COVID-19 chest X-ray images using the support vector machines (SVM) classifier. The proposed model's performance was evaluated and analyzed on the open-access dataset. The highest accuracy was 99.80% using only 5% of the features extracted from ResNet50 and Xception. The other way of combining the ensemble of deep features and a few recent works for the classification of COVID-19 were also compared with the proposed model. As a result, our proposed model has achieved the best success rate for this dataset and may be deployed to support decision systems for radiologists.
MODERN IDEOLOGICAL MISSION OF EDUCATION
Authors: Chikaeva Tatiana A.
Published: October 2022

The article aims to define and justify the mission of modern education. The relevance of this is-sue is connected with the need to overcome negative trends in the transformation of culture, the need for a human creator. It is pointed out that the pragmatic orientation of modern education generates problems associated with the lack of a person's ability to understand independently both the superficial and deep processes of culture, leads to a crisis of national cultural identity. Further development of this trend can lead to extremely negative consequences. Based on the analysis of various sources and empirical data, it is concluded that the mission of education should be to form an imaginative picture of the world, in which the image of the Motherland should occupy a key place, since the perception and behavior of the individual, its attitude to the preservation and transmission of the material and spiritual values of the ancestors depends on its content and actualization. Then it will be possible to form within the framework of the implementation of educational programs instead of cosmopolitan consumers-cosmopolitans, patriots-creators. The mission of education, therefore, is to fulfill the task of forming in the younger generations such images of the Motherland that would allow them to understand holistically and adequately understand its essence as a spiritual substance, the highest value, a shrine, a necessary source of existence of all other material, spiritual and social objects. This will make it possible to overcome a number of shortcomings of the current moment and ensure the constructive development of the individual and society, improve the quality of creative work, ensure the development of society as an integral unity of different elements, without their unification.
Sexism and the Left: Three Case Studies
Authors: Bakan Abigail B. , Kellogg Paul
Published: October 2022

Many Left organizations pride themselves on their commitment to women’s liberation, and socialist feminism is a real and important current of Left praxis. Nonetheless, there is also a long history that demonstrates a remarkable persistence of sexist practices within socialist organizations. This article suggests that sexist practices, as well as feminist analyses of and responses to sexism, have been epistemologically minimized, dismissed, distorted and ultimately forgotten, enabling a normalization of patriarchal hegemony on the Left, and producing what the late Charles Mills termed an “epistemology of ignorance.” To demonstrate this, the article draws on three case studies, spanning recent and distant history of socialist organizing: the crisis of the International Socialist Tendency and Socialist Workers’ Party UK (2010-13); the founding period of the International Socialists in Canada (1975-6); and the Bolshevik-Menshevik division in Tsarist Russia (1902-3). The argument is based on extensive original research including four decades of personal archives from socialist and feminist praxis.
К ОЦЕНКЕ ОПАСНОСТИ КАРСТОВО-СУФФОЗИОННЫХ ПРОЦЕССОВ
Authors: Татаркин Алексей Викторович , Красильников Павел Анатольевич , Мещерякова Ольга Юрьевна , Ермаков Денис Владимирович
Published: October 2022

Актуальность исследования вызвана поиском прогнозных параметров и критериев изменения электрических свойств горных пород, связанных с растворением и выносом частиц горных пород на территориях с распространением отложений карбонатно-сульфатного состава. Кроме того, использование геофизических методов при одностороннем подходе восстановления физических свойств геологического разреза не всегда даёт однозначную оценку получаемых результатов. Вышеперечисленные факты указывают на необходимость поиска и оценки возможностей комплексных решений для повышения однозначности истолкования геофизических данных и достоверности прогнозных расчётов. Цель работы заключается в разработке научно-методических основ способа оценки опасности карстово-суффозионных процессов. Объект представлен массивом горных пород в районе развития карстово-суффозионных процессов. Методы, использованные для достижения поставленной цели, базируются на численном моделировании электрических полей, натурных наблюдениях вертикальным электрическим зондированием в различных азимутальных направлениях, совокупном анализе геолого-геофизических данных и лабораторных исследованиях. В качестве инструментальных средств применены: аппаратурный комплекс АМС-1 и системы программ ZondRes3D, «Зонд». Изучение удельного электрического сопротивления на образцах горных пород проводилось с помощью оригинальной методики без нарушения структуры и влажности монолитов. Результаты исследования отображают комплексный анализ геолого-геофизических данных, включающий теоретические расчёты в трёхмерных неоднородных средах, полевой эксперимент и верификацию прогнозной модели. Исходя из априорной информации и лабораторных данных о свойствах среды, составлена физико-геологическая модель с ослабленными областями, связанными с выносом и растворением горных пород. Выявленные закономерности положены в основу для районирования по геометризации потенциальных областей развития опасных карстово-суффозионных процессов и дальнейшего выбора защитных мероприятий по укреплению массива пород или проектных решений.
ГИДРОХИМИЧЕСКАЯ ИЗМЕНЧИВОСТЬ РЕКИ АНГАРА ПРИ СОЗДАНИИ БОГУЧАНСКОГО ВОДОХРАНИЛИЩА (РОССИЯ)
Authors: Полетаева Вера Игоревна
Published: October 2022

Актуальность исследования обусловлена необходимостью контроля за гидрохимическими параметрами крупной пресной водной экосистемы для объективной оценки трансформации водоема, находящегося под антропогенным воздействием. Цель: изучить пространственно-временную динамику концентраций основных ионов в водах р. Ангары и Богучанском водохранилище. Объекты: р. Ангара до ее зарегулирования плотиной Богучанской ГЭС (2007 г.) и Богучанское водохранилище в период его заполнения (2013, 2014 гг.) и стабилизации уровня (2015, 2017 гг.). Методы. Химический анализ образцов воды проведен в Центре коллективного пользования «Изотопно-геохимических исследований» ИГХ СО РАН (г. Иркутск, Россия). Измерение концентрации Na+ и К+ в воде выполнено эмиссионным пламенно-фотометрическим методом, Са2+ и Мg2+ – методом атомно-абсорбционной спектрометрии, SO42– – турбидиметрическим методом, Cl– – меркуриметрическим методом, HCO3– – титриметрическим методом. Результаты. В пространственно-временном аспекте изучены концентрации катионов (Ca2+, Mg2+, Na+, K+) и анионов (HCO3–, SO42–, Cl–). Результаты исследования показали близкие значение TDS в воде мониторинговых станций р. Ангары (140,7–154,6 мг/л) и Богучанского водохранилища (139,1-172,3 мг/л). Однако увеличение уровня водоема приводит к изменению в соотношении концентраций главных ионов. По сравнению с р. Ангарой, в начальный период функционирования Богучанского водохранилища в воде увеличиваются концентрации SO42–, Cl–, Na+, Mg2+, уменьшаются концентрации HCO3– и Ca2+. Ионный состав вод Богучанского водохранилища определяется прежде всего вкладом из области, расположенной выше по потоку (сток из Усть-Илимского водохранилища). К антропогенным факторам относятся сточные воды и само создание водохранилища, оказывающие влияние на гидрохимию главных ионов.
ЭНЕРГОЭФФЕКТИВНЫЙ АЛГОРИТМ УПРАВЛЕНИЯ ФОТОЭЛЕКТРОСТАНЦИЕЙ С ЭЛЕКТРОХИМИЧЕСКИМ И ЭЛЕКТРОТЕПЛОВЫМ АККУМУЛИРОВАНИЕМ ЭНЕРГИИ
Authors: Лукутин Борис Владимирович , Шандарова Елена Борисовна , Хамид Аль-Мажди Каррар
Published: October 2022

Актуальность работы определяется возрастающим спросом на энергию, особенно на экологически чистую. В настоящее время большое внимание уделяется исследованию и совершенствованию возобновляемых энергоисточников. Производство электроэнергии с использованием фотоэлектростанций весьма перспективно в районах с высокой инсоляцией, где централизованные энергетические системы недоступны, или в случае, когда доступная электроэнергия обходится дорого. Однако высокая стоимость оборудования фотоэлектростанций ограничивает возможности их широкого применения. Одним из способов снизить стоимость фотоэлектрической установки является аккумулирование электрической энергии не только в электрохимических батареях, но и в виде нагретой воды в менее дорогих водонагревательных установках, что позволит уменьшить стоимость фотоэлектрической установки за счет уменьшения ёмкости батарей при одновременном обеспечении потребителя горячей водой. Одной из актуальных задач является разработка алгоритмов управления фотоэлектростанций с гибридной электрохимической и электротепловой системой аккумулирования фотоэлектричества. Цель: разработка интеллектуального алгоритма управления энергетическим балансом автономной фотоэлектростанции с электрохимическим и электротермическим аккумулированием фотоэлектричества. Методы: аналитические методы исследования фотоэлектрических станций с агрегатным способом аккумулирования солнечной энергии: в электрохимических и электротермических батареях, методы компьютерного моделирования, метод сравнений с предыдущими научными исследованиями. Результаты. Разработана структура системы управления энергетическим балансом фотоэлектростанции с электрохимическим и электротепловым аккумулированием фотоэлектричества; предложен алгоритм функционирования системы управления с использованием МРРТ технологий; структура и алгоритм функционирования протестированы на примере оптимизации энергетического баланса социального объекта на территории Ирака путём моделирования в программном комплексе Matlab.