bluuebunny/crossref_metadata_2025 huggingface dataset:
ROBUST STOCHASTIC PRODUCTION FRONTIER TO ESTIMATE TECHNICAL EFFICIENCY OF RICE FARMING IN SULAWESI SELATAN
Authors: Pranata Ismail , Djuraidah Anik , Aidi Muhammad Nur
Published: April 2023

The stochastic production frontier (SPF) is the stochastic frontier analysis (SFA) method used to estimate the production frontier by accounting for the existence of inefficiency. The standard SPF assumes that the noise component follows a Normal distribution and the inefficiency component follows a half-Normal distribution. The presence of outliers in the data will affect the inaccuracy in estimating the parameters and leads to an exaggerated spread of efficiency predictions. This study uses two alternative models, the first with SPF Normal-Gamma and the second with SPF Student's t-half Normal, then the results are compared with standard SPF. This study uses data from statistics Indonesia on the cost structure of paddy cultivation household survey in 2014. This study aims to examine the effect of changes in distribution assumptions on the standard SPF model in estimating parameter value and the technical efficiency score in the presence of outliers. The parameter coefficient estimates similar results that apply to three SPF models. Only the standard error value in the alternative SPF model tends to be smaller than the standard SPF model. The Normal-Gamma model performs better in assessing residual with smaller root mean square error (RMSE) than the others, but the results of the estimated technical efficiency still contain outliers. The Student's t-half Normal model estimates technical efficiency no longer contains outliers, the range is shorter than the other models, and the results of estimating technical efficiency are not monotonous in the distribution of residual tails.  The SPF Student's t-half Normal model is more robust in presence outliers than SPF Normal-half Normal and SPF Normal-Gamma.
STATISTICAL DOWNSCALING MODEL WITH PRINCIPAL COMPONENT REGRESSION AND LATENT ROOT REGRESSION TO FORECAST RAINFALL IN PANGKEP REGENCY
Authors: Sahriman Sitti , Yulianti Andi Sri
Published: April 2023

Climate information, especially rainfall, is needed by various sectors in Indonesia, including the marine and fisheries sectors. Estimating high-resolution climate models continues to develop by involving global-scale climate variables, one of which is the global circulation model (GCM) output precipitation. Statistical downscaling (SD) relates global scale climate variables to local scales. Principal component regression (PCR) and latent root regression (LRR) techniques are statistical methods used in the SD model to overcome the high correlation between GCM data grids. PCR focuses on the variability in the predictor variables, while the LRR focuses on the variability between the response variables and predictors. This method was applied to Pangkep Regency rainfall data as a local scale response variable and GCM precipitation as a predictor variable (January 1999 to December 2020). This study aimed to obtain the number of principal component (PC) in the SD model and the forecast value of the 2020 rainfall data. In addition, the dummy variable resulting from K-means was used as a predictor variable in PCR and LRR. The result is that using the first 11-15 PC has a cumulative diversity proportion of 98%. Furthermore, by using the data for the 1999-2019 period, adding a dummy variable to the PCR can increase the accuracy of the model (the coefficient of determination is 92.27%-92.43%). However, LRR with and without dummy variables produces relatively the same model accuracy. In general, the LRR model is better at explaining the diversity of the Pangkep District rainfall data than the PCR model. The prediction of rainfall for the 2020 period at LRR with 13 PC is an accurate prediction based on the highest correlation value (0.97) and the lowest root mean square error prediction (75.17).
OVERDISPERSION HANDLING IN POISSON REGRESSION MODEL BY APPLYING NEGATIVE BINOMIAL REGRESSION
Authors: Tiara Yesan , Aidi Muhammad Nur , Erfiani Erfiani , Rachmawati Rika
Published: April 2023

Statistical analysis that can be used if the response variable is quantified data is Poisson regression, assuming that the assumption must be met equidispersion, where the average response variable is the same as the standard deviation value. A negative binomial regression can overcome an unfulfilled equidispersion assumption where the mean is greater than the standard deviation value (overdispersion). This method is more flexible because it does not require that the variance be equal to the mean. The case studies used in this research are cases of anemia in women of childbearing age (WCA) in 33 provinces of Indonesia. This study aims to apply the Poisson regression method and negative binomial in the case data of anemia in WCA to prove the model's goodness and find the factors that influence anemia in WCA. This data was obtained from biomedical sample data for Riset Kesehatan Dasar (Riskesdas) and data obtained from the website of the Badan Pusat Statistik (BPS) in 2013. By applying these two methods, the result is that negative binomial regression is the best model in modeling WCA cases with anemia in Indonesia because it has the smallest AIC value of 221.72; however, the difference is not too far from the AIC in the Poisson regression model, which is 221.83. It can also be supported that Poisson regression is unsuitable for the analysis because of the case of overdispersion. With a significance level of 10%, the number of WCA affected by malaria per 100 population influences cases of WCA anemia. At the same time, other independent variables have no effect.
GENERALIZED ORLICZ SEQUENCE SPACES
Authors: Kustiawan Cece , Masta Al Azhary , Dasep Dasep , Sumiaty Encum , Fatimah Siti , Hazmy Sofihara Al
Published: April 2023

Orlicz spaces were first introduced by Z. W. Birnbaum and W. Orlicz as an extension of Labesgue space in 1931. There are two types of Orlicz spaces, namely continuous Orlicz spaces and Orlicz sequence spaces. Some of the properties that apply to continuous Orlicz spaces are known, as are Orlicz sequence spaces. This study aims to construct new Orlicz sequence spaces by replacing a function in the Orlicz sequence spaces with a wider function. In addition, this study also aims to show that the properties of the Orlicz sequence spaces still apply to the new Orlicz sequence spaces under different conditions. The method in this research uses definitions and properties that apply to the Orlicz sequence spaces in the previous study and uses the -Young function in these new Orlicz sequence spaces. Furthermore, the results of the study show that the new Orlicz sequence spaces are an extension of the Orlicz sequence spaces in the previous study. And with the characteristics of the -Young function, it shows that the properties of the Orlicz sequence spaces still apply.
A STUDY OF SMALL AREA ESTIMATION TO MEASURE MULTIDIMENSIONAL POVERTY WITH MIXED MODEL POISSON, ZIP, AND ZINB
Authors: Adwendi Satria June , Saefuddin Asep , Susetyo Budi
Published: April 2023

The research began with calculating the value of multidimensional poverty at the district level in West Java Province from SUSENAS 2021. The calculation of multidimensional poverty was based on individuals in each district or city household. The dimensional weights are weighed the same, and the indicators in the dimensions are also weighed the same. Furthermore, the simulation study used the Poisson, ZIP, and ZINB mixed models to examine the model's performance on data with cases of excess zero values and overdispersion. The simulation was by generating data without overdispersion and with overdispersion. Overdispersion data was generated with parameters of ω (0.1, 0.3, 0.5, and 0.7), and the model was evaluated from the AIC value. The best method in the simulation study was used to estimate multidimensional poverty in sub-districts in West Java Province using PODES 2021. Simulation studies on data without overdispersion showed no difference in the model's goodness. Overdispersion data shows Mixed Model ZIP and ZINB are better than Mixed Model Poisson. The percentage of the multidimensional poverty population at the sub-district level in West Java Province is quite diverse, from 0.04% to 75.54%.
APPLICATION OF THE BACKPROPAGATION METHOD TO PREDICT RAINFALL IN NORTH SUMATRA PROVINCE
Authors: Nabila Rinjani Cyra , Arnita Arnita , Fitria Amanda , Suryani Nita
Published: April 2023

Natural disasters are to blame for the high level of community loss. This is due to the community's lack of information about potential disasters around them. As a result, public understanding of disaster response is extremely low. As a result, weather information is critical for the smooth operation of human activities and activities, such as determining the amount of rainfall. The goal of this research is to identify the best model for predicting rainfall in North Sumatra Province and to forecast rainfall trends for the coming year. The rainfall time series data used in this study were collected from six stations in North Sumatra Province over the last ten years, including the Sibolga Meteorological Station, Aek Godang Meteorological Station, and Silangit Meteorological Station. Backpropagation is used in this study. Backpropagation is one of the methods used in artificial neural networks, which are usually divided into three layers: an input layer, a hidden layer, and an output layer connected by weights. During the training stage, the learning rate, iteration, and number of nodes in the hidden layer were all tested. Following the training process, the best model will be used for testing. The best model was obtained using rainfall data from North Sumatra Province, with an optimal iteration of 1000 iterations, an optimal learning rate of 0.1 in the learning rate trial, and the best number of hidden 5 nodes. During the testing, the MSE values were 0.047 and 0.022, respectively, and the MSE squared value was 0.0022 and 0.00049.
ALTERNATIVE PROOF OF THE INFINITUDE PRIMES AND PRIME PROPERTIES
Authors: Oktaviani Dinni Rahma , Habiburrohman Muhammad , Nugroho Fiki Syaban
Published: April 2023

Prime numbers is one of kind number that have many uses, one of which is cryptography. The uniqueness of prime numbers in their divisors and distributions causes prime numbers to be widely used in digital security systems. In number theory, one of famous theorem is Euclid theorem. Euclid theorem says about infinitely of prime numbers. Many alternative proof has been given by mathematician to find new theory or approximation of prime properties.  The construction of proof give new idea about properties of prime number. So, in this study, we will give an alternative proof of Euclid theorem and investigate the properties of prime in distribution.
SENTIMENT ANALYSIS OF MERDEKA BELAJAR KAMPUS MERDEKA POLICY USING SUPPORT VECTOR MACHINE WITH WORD2VEC
Authors: Rezki Nurul , Thamrin Sri Astuti , Siswanto Siswanto
Published: April 2023

Sentiment analysis is a data text analysis that classifies data into positive and negative sentiments. This study aims to obtain the results of sentiment classification related to Merdeka Belajar Kampus Merdeka policy on Twitter using support vector machine algorithm with Word2Vec feature extraction. Support Vector Machine is a classification algorithm that separates data classes using the optimum hyperplane. Text data used in sentiment analysis must change its numerical form by performing feature extraction. In this study, the feature extraction used is Word2Vec which represents words in vector form. Data in this study are tweets with the keyword "Kampus Merdeka" uploaded on Twitter as many as 10000 tweets. After preprocessing text data, data used to analyze sentiment was 1579 tweets. Sentiment classification resulted in classification model accuracy 89.87%, precision 91.20%, recall 84.44% and F-Measure 87.68%. Classification sentiment using support vector machine with Word2Vec feature extraction in this study produces a good model.
ESTIMATION OF MAXIMUM LIKELIHOOD WEIGHTED LOGISTIC REGRESSION USING GENETIC ALGORITHM (CASE STUDY: INDIVIDUAL WORK STATUS IN MALANG CITY)
Authors: Menufandu Dahlia Gladiola Rurina , Fitriani Rahma , Sumarminingsih Eni
Published: April 2023

Weighted Logistic Regression (WLR) is a method used to overcome imbalanced data or rare events by using weighting and is part of the development of a simple logistic regression model. Parameter estimation of the WLR model uses Maximum Likelihood estimation. The maximum likelihood parameter estimator value is obtained using an optimization approach.  The Genetic algorithm is an optimization computational algorithm that is used to optimize the estimation of model parameters. This study aims to estimate the Maximum Likelihood Weighted Logistic Regression with the applied genetic algorithm and determine the significant variables that affect the working status of individuals in Malang City. The data used is the result of data collection from the National Labor Force Survey of Malang City in 2020. The results of the analysis show that the variable education completed and the number of household members has a significant effect on individual work status in Malang City.
CLASSIFICATION OF STUNTING USING GEOGRAPHICALLY WEIGHTED REGRESSION-KRIGING CASE STUDY: STUNTING IN EAST JAVA
Authors: Iriany Atiek , Ngabu Wigbertus , Arianto Danang , Putra Arditama
Published: April 2023

Geographically Weighted Regression Kriging (GWRK) is a special case of Geographically Weighted Regression (GWR) model, which is modeling with the effect of spatial autocorrelation on the GWR model error. The purpose of this research is to obtain a GWRK model between the factors that affect stunting density for each site viewed from the district center point in East Java Province and to make a prediction map based on the GWRK modeling. The data used was obtained from Basic Health Research (RISKESDAS) and the East Java Health Profile Book for 2021. The units of observation in this study were 38 districts in East Java.. Based on the GWR modeling results, it was found that the GWR model error contained spatial autocorrelation so that GWR model can be formed. From the GWRK modeling using stunting prevalence data in East Java in 2021, it was found that the GWR model was better than the global regression. Through prediction and prediction mapping formed from the GWR-Kriging modeling, it could be seen that stunting in regencies in East Java was evenly distributed . The interpolation map showed that the stunting forecasting values using the Kriging GWR interpolation ranged from 27% to 46%.
FORECASTING MODEL OF ONIONS IN SUMBAWA DISTRICT
Authors: Susilawati Tri , Darmawan Indra , Ardiansyah Eka , Adlimi Arsil
Published: April 2023

Sumbawa Regency as the second largest shallot producing area in NTB certainly contributes to food security in Sumbawa Regency in particular and in Indonesia in general. This condition certainly needs to make policy makers predict crop yield growth for the following years. This study aims to predict shallot yields for the next 9 years. The data used is secondary data sourced from the Sumbawa District Agriculture Office. There are three trend forecasting methods used, namely least square method, quadratic and exponential trend models. Based on the calculation results, the best forecasting trend model is obtained, namely the exponential trend model with MAPE and MAD values ​​and the largest coefficient of determination (R2). The exponential trend obtained shows a positive trend, namely positive exponential values ​​and positive principal numbers
APPLICATION OF SINGULAR SPECTRUM ANALYSIS METHOD IN FORECASTING INDONESIA COMPOSITE DATA
Authors: Wijayanti Latifah Nur , Kartikasari Mujiati Dwi
Published: April 2023

The wellbeing of the public is a key state objective. To attain this objective, developments are required, including economic development. Economic development can be initiated by enhancing a state's economic growth, as it describes the state's economic conditions. Forecasting future economic conditions is one of the things that may be done to ensure economic stability. Investment business can be utilized as indicators, with the Indonesia Composite Index (ICI) being one of them. Singular Spectrum Analysis (SSA) is one of the available techniques for forecasting. Due to the fact that SSA is non-parametric, no assumptions must be met, resulting in high performance and adaptability. Thus, SSA will be utilized for forecasting ICI. The ICI data utilized is obtained from Yahoo Finance. On the basis of the forecasting result for the closing price of ICI from March 2, 2020 to March 28, 2022 using SSA, which yielded MAPE values of 1.59% for training data and 4.84% for testing data, it can be inferred that this method is accurate. The outcome also revealed that the tendency tends to rise over the next few periods.
APPLICATION OF PANELIZED SPLINE-SPATIAL AUTOREGRESSIVE MODEL TO HIV CASE DATA IN INDONESIA
Authors: Pigitha Nindi , Djuraidah Anik , Wigena Aji Hamim
Published: April 2023

Spatial regression analysis is a statistical method used to perform modeling by considering spatial effects. Spatial models generally use a parametric approach by assuming a linear relationship between explanatory and response variables. The nonparametric regression method is better suited for data with a nonlinear connection because it does not need linear assumptions. One of the nonparametric regression methods is penalized spline regression (P-Spline). The P-spline has a simple mathematical relationship with mixed linear model. The use of a mixed linear model allows the P-Spline to be combined with other statistical models. PS-SAR is a combination of the P-Spline and the SAR spatial model so that it can analyze spatial data with a semiparametric approach. Based on data from monitoring the development of the HIV situation in 2018, the number of HIV cases in Indonesia shows a clustered pattern that indicate spatial dependence. In addition, the relationship between the number of positive cases and the factors tends to be nonlinear. Therefore, this study aims to apply the PS-SAR model to HIV case data in Indonesia. The resulting model is evaluated based on the estimates of autoregressive spatial coefficient, MSE, MAPE, and Pseudo R2. Based on the results, the PS-SAR model has an autoregressive spatial coefficient similar to the SAR model and has smaller MSE and MAPE than the SAR model.
IMPLEMENTATION OF THE STEP FUNCTION INTERVENTION AND EXTREME LEARNING MACHINE FOR FORECASTING THE PASSENGER’S AIRPORT IN SORONG
Authors: Faizin Nur , Fauzan Achmad , Primandari Arum Handini
Published: April 2023

This study aims to forecast the number of passengers departing at the domestic departure terminal at Domine Eduard Osok Sorong Airport in 2022 using the Autoregressive Integrated Moving Average (ARIMA) method, ARIMA with Step Function Intervention, and Extreme Learning Machine (ELM). The knowledge of the number of passengers can help the airport prepare facilities. The residual ARIMA model (0,1,0) has no serial correlation (random walk) based on the Ljung-Box test. The MAPE value of the ARIMA model (0,1,0) is 65.47% which means poorly fitted. Because of it, the researchers propose an intervention in the ARIMA model. The RMSE and MAPE ARIMA Intervention ​​(1,0,0) (0,1,0) [12] were 9,027.671 and 35.86%, respectively. Besides, this study also employed the ELM method, which has a MAPE error measurement value of 30.64%. The ELM method has the lowest error measurement results among the three methods. Therefore, the ELM method is suitable for forecasting the number of passengers with predicted values ​​from June to September 2022 as follows: 47985, 37821, 31247, and 33578. On the other hand, intervention in ARIMA can reduce MAPE by 45%.
FUZZY LOGISTIC REGRESSION APPLICATION ON PREDICTIONS CORONARY HEART DISEASE
Authors: Febriani Vera , Lestari Dian , Mardiyati Sri , Lilyasari Oktavia
Published: April 2023

According to the World Health Organization (WHO) in 2015, 70% of cardiac deaths were caused by coronary heart disease (CHD). Based on WHO data in 2017, 17.5 million deaths were recorded, equivalent to 30% of the total deaths in the world caused by coronary heart disease. Coronary heart disease is a disorder of heart function caused by plaque that accumulates in arterial blood vessels so that it interferes with the supply of oxygen to the heart tissue. This causes reduced blood flow to the heart muscle and oxygen deficiency occurs. In more serious circumstances, it can result in a heart attack. Risk factors for coronary heart disease include age, gender, hypertension, cholesterol, heredity, diabetes mellitus, obesity, dyslipidemia, smoking and lack of physical activity. If a person's chances of suffering from coronary heart disease can be predicted early based on the existing risk factors, then the mortality rate of coronary heart disease can be suppressed. The objective of this study is to build a model that can predict the possibility of a patient suffering from coronary heart disease. The study used the Fuzzy Logistic Regression model. This model was used to maximize prediction results in which data size was limited. The least square method was used to estimate the value of the parameter. We obtained from National Cardiovascular Center Harapan Kita, Jakarta. Evaluation with the Mean Degree of Membership method showed that the model built was feasible and good enough to predict coronary heart disease. By using the confusion matrix, the accuracy of the prediction model is 80.00%, with a specificity of 42.85% and a sensitivity of 100%.
OUTPUT VISUALIZATION FROM RESULT OF DISCRETE EVENT SYSTEM SIMULATION WITH ‘simmer’ R PACKAGE
Authors: Yudistira I Gusti Agung Anom , Nariswari Rinda , Arifin Samsul
Published: April 2023

This study aims to describe the various capabilities of the simmer package on R, especially in running a discrete event simulation model of a circular system, then develop a DES simulation model building technique, which is effective and can represent real systems well, and explore the simulation output on this simmer, both in statistical summary form and parameter estimation. The method used in this research is the literature study with descriptive and exploratory approaches. Model development is more effective when it is carried out starting from simple models, to more complex forms step by step, and describing the system using a flow chart. Replication for simulations is easy to perform so as to get standard error values ​​for model parameter estimators. The stages in developing a discrete event simulation model with a simmer, start with compiling a simple flowchart to a more complex form, and replication is carried out. The simmer output in the form of a data frame makes it very easy to process the output further. The simple R API on Simmer will also make it easier to simulate.
IMPLEMENTATION OF GRAPH COLORING IN UMMUL MUKMININ HIGH SCHOOL STUDENT'S DORMITORY USING WELCH-POWELL ALGORITHM
Authors: Putri Nur Rohmah Oktaviani , Saputra Edy , Lisnasari Andi Anita
Published: April 2023

In Graph Theory, the concept of vertex coloring is an interesting topic because it can be implemented in various fields in everyday life. One of them is the distribution of dorm rooms at a school in Makassar. The placement of dorm rooms is made so that no students from the same class or region are in the same room. The data of region and class will be represented in an adjacency matrix with 137 rows and columns. Furthermore, the coloring will be solved by using the Welch-Powell algorithm. The coloring results obtained were 50 colors. That means, the rooms needed to place 137 students so that no one comes from the same region, and classes are 50 rooms with a maximum capacity of 4 people in each room.
KOMUNIKASI PEMBELAJARAN VIRTUAL DALAM SPIRIT MISERICORDIAE VULTUS
Authors: Jegalus Norbertus
Published: April 2023

This article analyzes the problem of virtual learning communication that does not answer the demands of humanist education, namely carrying out not only "transfer of knowledge" and "transfer of skills" but also "transfer of values". What is difficult to do in virtual lectures is not the transfer of knowledge and skills but the transfer of values. Because knowledge can be learned and skills can be trained through technology, but values ​​are not primarily learned or trained using tools but are put into practice and it is not the case in virtual lectures. The weakness of virtual lectures is that there is no face-to-face meeting, even though such an encounter is demanded by all theories of humanist education. Face-to-face communication is important in education, because this type of communication is needed to create the spiritual and emotional intelligence of students. Meanwhile virtual lectures only answer intellectual intelligence. Facing this condition, lecturers are required to have a caring spirit as taught by Bulla "Miserdicodiae Vultus". Caring is the basic value for other humanist values ​​that must be possessed by a lecturer, such as: dedication, patience, responsibility and attention.
AGAMA SEBAGAI ALIENASI MANUSIA (Refleksi Kritis Atas Kritik Agama Karl Marx)
Authors: Seran Patrisius , Latupeirissa David Samuel
Published: April 2023

The research aims to inventory, critical evaluation, synthesis, and gain a new understanding of Karl Marx's religious criticism. This research is qualitative descriptive using literature study methods. The finding in this study is that marx actually continued feuerbach's religious criticism. According to Marx, Feuerbach's religious criticism was limited to religious criticism. Religious criticism should come down to the situations and conditions that give birth to religion. According to Marx, those who gave birth to religion were man, the human world, society, and the state. Therefore, religious criticism must reach its root, namely criticism of the social conditions of the people who gave birth to religion. Religion as human alienation because in reality human life is always oppressed by other groups of people who are more powerful. To free himself from this exile, Marx concluded that there needed to be a total revolution of oppressed society against the oppressor. The main purpose of this revolution is to free people, especially the oppressed from various alienation, especially social alienation. This, according to Marx, can be achieved by abolishing the system of private ownership of the means of production controlled by upper society. By removing the system of private ownership of the means of production, there will also be classes in society so that a society without classes arises. From this we know that the main purpose of Marx's religious criticism is not religion in se but rather in the concrete real situation of human social life oriented towards exploiting humans. From this we know that the main purpose of Marx's religious criticism is not religion in se but rather in the concrete real situation of human social life oriented towards exploiting humans. Religious criticism was a demonstration of Marx's mind concerned with the living conditions of the workers of his day. The ultimate goal of this criticism is human sociality. There is no more slavery of the workers by the capitalists. Marx wanted an equal life.
AMBIVALENSI PEMAKNAAN EKSISTENSIAL DALAM PUISI BIBLIKAL; TELAAH FILOSOFIS TERHADAP KUMPULAN PUISI PERTARUNGAN DI PNIEL
Authors: Arum Giovanni Aditya Lewa
Published: April 2023

The biblical poems are the poems that takes their inspiration from the Bible. It means the Bible becomes the hyporgram for the poems. One of the poetic signs is the biblical imagery. Cyprian BitinBerek is one of the poets who pays much attention on biblical poems. Pertarungan di Pniel gathers all of poems that take their inspiration from the Bible. This essay is a critical exploration. This critical exploration uses two theories as its apparatus, i.e: exegetical theory and philosophical theory. This essay uses the existential philosophy from Kierkegaard to criticize some poems that covers existential philosophy issues. Finally, the writer finds two critical conclusion, i.e: There are the tendency of subjective extortion that out of the narrative tradition from Old Testament and the ambivalence of existential signification from some biblical poems. In the end of this essay, the writer gives some positive points from Cyprian’s biblical poems.
TERGERUSNYA NILAI BUDAYA TABUA MA T’NEK MESE PADA MASYARAKAT DESA OELBONAK DAN PENILAIAN MORAL-ETIS
Authors: Metan Desiderius , Handayani Wiwik Ira
Published: April 2023

Oelbonak village people inherited Tabua Ma T'nek Mese culture from their ancestors as a spirit that animates all aspects of their social life.  The culture fostered a principle that they must live unitedly and work together.  However, the influence of modernization has led to certain attitudes, actions or practices from certain parties who want to build an individualistic life.  Or in other words, there are certain people or groups who no longer want to cooperate or share work because they think it is detrimental or burden them in the terms of material or financial perspective.  As a result, people began to live trapped in a materialistic and individualistic lifestyle.  This deviation cannot be justified if it is reflected from the moral source of the Catholic religion (The Bible) and the assessment of ethical theory as well because it does not provide benefits, otherwise it is detrimental to oneself and others.  Humans who have the Tabua Ma T'nek Mese culture (unified and one heart) are humans who always prioritize harmony, unity and brotherhood.  Moreover, it can lead people to achieve the virtues of life, both horizontal virtues, namely the virtues of living with other humans and vertical virtues, namely the true happiness created through intimate fellowship with the owner and the provider of human life, The Almighty God.
KAUM AWAM SEBAGAI “GARAM DAN TERANG DUNIA” DI ZAMAN TEKNOLOGI DIGITAL
Authors: Sibori Ireneus , Firmanto Antonius Denny , Aluwesia Nanik Wijiyati
Published: April 2023

The Industrial Revolution 4.0 changed the work system, mindset and face of the world. In an era that is no longer the same, digital technology is growing rapidly. This change presents a new challenge for the Catholic Church in its existence in the midst of the world. The Church recognizes this change and seeks to use technological advances as a means of proclaiming God's love. In this case, the Church tries to invite Catholic laity to rise up and answer the call of Christ. The laity are the ones who are called. Since receiving baptism they have all been called to be salt and light to their fellowmen. Yet the laity often mistake that they have the lower dignity of the priests and are not worthy to be preachers of Christ. The Catholic Church tries to make people realize that they have the same dignity as children of God. They are also called people. They are a mirror image of the face of Christ in the midst of the world. Their presence in direct contact with the world is the hope that the love of Christ will be felt by all nations. In this era of industrial revolution 4.0, common people are expected to become salt and light for others. The methodology I use in this paper is data collection by means of questionnaires and literature study of various books and articles related to the title of this research. The findings in this paper are that Catholic laypeople are still less aware of their role as salt and light especially in the era of the 4.0 industrial revolution. Therefore the Catholic Church must do more to raise up the laity in answering the call of Jesus Christ as the salt and light of the world.
Характеристика сортов и линий озимой пшеницы по морфофизиологическим параметрам
Authors: Сандухадзе Баграт Исменович , Марченкова Людмила Александровна , Мамедов Рамин Закирович , Павлова Ольга Викторовна , Бугрова Валентина Васильевна , Крахмалёва Мария Сергеевна , Чавдарь Раиса Федоровна , Орлова Татьяна Григорьевна , Молодовский Ярослав Станиславович
Published: April 2023

Представлены экспериментальные данные по оценке морфофизиологических показателей проростков перспективных линий озимой пшеницы в сравнении с контрольными сортами Московская 39 (стандарт) и Московская 40 на начальных этапах их роста и развития. Изучаемые генотипы характеризуются высокой урожайностью в пределах 6,4 – 7,2 т/га, массой 1000 семян — 41,6 – 45,4 г, массой зерна с колоса — 1,13 – 1,86 г и высотой — 82 – 115 см. Установлен широкий полиморфизм органов растений, показана зависимость активизации ростовых процессов от сортовых особенностей. Определен уровень внутрисортового варьирования ростовых функций (6,0 – 17,7 %) и отмечено, что наименьшей средней вариацией отличается длина корешков (7,7 %), наибольшей — ростков (11,3 %). Выявлена степень корреляционной сопряженности всех изучаемых параметров и показана зависимость урожайности и семенной продуктивности от степени развития органов проростков на начальных этапах их роста (r = 0,52 – 0,95). Установлено, что на ранних этапах органогенеза преимущество имеют образцы с высокой активизацией роста ростков и корешков. На основе суммы числовых показателей адаптивности, морфофизиологических параметров, урожайности и элементов семенной продуктивности, преобразованных в ранговый формат, определена биологическая полноценность семян сортов и проростков озимой пшеницы и выявлены сорта и линии, формирующие наиболее широкий диапазон положительных признаков и характеризующиеся самым высоким рейтингом, среди которых Эритроспермум 2294/12, Эритроспермум 383/20 и Эритроспермум 69/21.
Allium auctum в Южно-Уральском ботаническом саду-институте при интродукции
Authors: Тухватуллина Л. А.
Published: April 2023

Представлены результаты интродукционного испытания Allium auctum Omelczuk. Изучены фенология, семенная продуктивность, размножение и оценены успешность и перспективность вида в культуре. Феноритмотип — раннелетнецветущий коротковегетирующий эфемероид. Отрастает во 2 – 3 декаде апреля. Фаза бутонизации — в 1 – 2 декаде мая, фаза цветения — с 3 декады мая до 2 – 3 декады июня. Продолжительность цветения особи в среднем — 18 дней. Семена созревают в июле-августе. Период от отрастания до созревания семян — 93 – 101 день. Весь период вегетации длится 75 – 85 дней. Высота среднегенеративных растений — 67,8 ± 1,68 см, число цветков 1 соцветия — 170,5 ± 8,12, число плодов — 155,3 ± 3,77, плодообразование — 88,4 %, число семян в плоде — 2,6, завязываемость семян — 45,0 %, реальная семенная продуктивность — 446,8 ± 35,9 шт., коэффициент продуктивности — 43,9 ± 3,52 %. Абсолютная масса семян — 4,8 г. Всхожесть семян при подзимнем посеве — 70 – 80 %. Коэффициент вегетативного размножения — 2,6. По оценке интродукционной устойчивости в условиях культуры A. auctum набирает 19 баллов, поэтому вид является перспективным для культивирования в регионе Южного Урала.
Особенности биологии некоторых представителей дицентры в условиях культуры
Authors: Анищенко И. Е. , Жигунов О. Ю.
Published: April 2023

Представлены результаты многолетнего изучения 3 таксонов дицентры — Lamprocapnos spectabilis (L.) Fukuhara и L. spectabilis f. alba, Dicentra eximia (Ker Gawl.) Torr. По жизненной форме они являются многолетними корневищными растениями. Изучены особенности сезонного ритма роста и развития, морфобиологические параметры и оценена успешность растений в условиях интродукции в регионе Южного Урала. Изученные представители дицентр — длительно вегетирующие (более 6 месяцев) весенне-летне-осенне-зеленые с периодом зимнего покоя растения. По продолжительности цветения растения являются долгоцветущими. Дицентры проходят почти все стадии развития, за исключением образования плодов и семян. Изученные морфометрические параметры исследованных таксонов дицентры обладают нормальной степенью варьирования (от 1,3 до 23,3 %). По результатам оценки успешности интродукции установлено, что дицентры обладают высокой устойчивостью к местным климатическим условиям. Они характеризуются успешным ростом и развитием, отличаются высокой зимостойкостью, не подвержены основным вредителям и болезням, являются высокоперспективными, декоративно цветущими растениями для культивирования на тенистых участках парков, скверов населенных пунктов Южного Урала.
Товарные и вкусовые качества плодов перспективных сортов яблони, устойчивых к доминирующим болезням
Authors: Хамурзаев Салман Магомедович , Долматов Е. А. , Лабазанов Исрапил Израилович
Published: April 2023

Дана сравнительная оценка товарных и потребительских качеств плодов наиболее ценных сортов яблони различного эколого-географического происхождения. Работа выполнена в экологических условиях Чеченской Республики на коллекционном участке яблони опытного поля в 2021 – 2022 гг. с целью изучения хозяйственно значимых признаков сортов для расширения существующего производственного сортимента и создания интенсивных насаждений яблони. Комплексная оценка хозяйственно ценных признаков сортов яблони отечественной и зарубежной селекций позволила выделить для региона наиболее перспективные по товарно-потребительским качествам сорта: Ред Чиф, Флорина, Женева Эрли, Энтерпрайз, Ренет Симиренко, Гранни Смит и Пинк Леди.
Эффективность приемов основной обработки почвы под подсолнечник в условиях юго-востока ЦЧР
Authors: Гармашов Владимир Михайлович , Говоров Виктор Николаевич , Крячкова Мария Петровна
Published: April 2023

В почвенно-климатических условиях юго-востока ЦЧР установлено, что приемы минимизации обработки почвы под подсолнечник и особенно прямой посев приводят к снижению азотного режима почвы, при этом фосфорно-калийный режим чернозема обыкновенного мало изменяется в зависимости от приемов подготовки почвы под подсолнечник. Наибольшая урожайность подсолнечника получена по вспашке на глубину 25 – 27 см — 2,81 т/га; на фоне с применением N60P60K60 при вспашке на глубину 20 – 22 см — 2,94 т/га. Внесение N60P60K60 под основную обработку почвы способствовало увеличению урожайности подсолнечника независимо от обработки на 0,09 т/га и уменьшало различия в урожайности в зависимости от приемов минимизации обработки почвы под культуру. В условиях высокоплодородных черноземных почв масличность семян подсолнечника мало зависела от приемов и интенсивности обработки. Максимальный сбор масла с 1 га пашни на удобренном и неудобренном фонах отмечен при вспашке на глубину 20 – 22 см и составлял 1,27 и 1,31 т/га соответственно.
Динамика численности земляной блошки (Altica oleracea L.) в зависимости от погодных условий и сортовых особенностей энотеры
Authors: Грязнов Михаил Юрьевич , Савченко Ольга Михайловна , Тоцкая Светлана Анатольевна
Published: April 2023

В статье проанализированы средние многолетние данные по численности земляных блошек на растениях ослинника двулетнего. Показано колебание их численности в зависимости от абиотических факторов, сортовых особенностей и возраста растений. За период исследований отмечено: растения ослинника двулетнего сортов Генотэрос и Светлячок имеют низкую степень повреждаемости – I балл (<25 %). Сорт Тверской интенсивнее повреждается вредителями: в отдельные годы степень повреждаемости составляет более 25 % (II балла). Также на растениях исследованных сортов энотеры второго года жизни отмечается более низкая, по сравнению с растениями первого года, повреждаемость. Это обусловлено повышением резистентности растений вследствие увеличения биомассы. Отмечено, что высокие положительные температуры и уменьшение суммы выпавших осадков приводит к росту численности вредителей. При снижении фактической температуры летних месяцев на 2-3°С или выпадении общей суммы осадков выше климатической нормы, происходит снижение активности земляных блошек. К факторам, отрицательно влияющим на перезимовку данного вредителя, относятся морозные и/или малоснежные зимы, а также холодные и затяжные весны на фоне обильных осадков. Показатель количества блошек (шт./растение) имеет сильную корреляционную связь с температурой воздуха в период начала отрастания и формирования розетки листьев (r = 0,831) и среднюю зависимость с суммой осадков (r = 0,512) у растений I и II года жизни. Отмечена сильная связь между количеством блошек второй генерации и количеством осадков во второй половине лета (r = 0,802).
Эколого-биологическая реабилитация сточных вод птицефабрики
Authors: Жемухова О. А. , Гетоков О. О. , Долов М. М.
Published: April 2023

Статья посвящена актуальной проблеме — восстановлению экосистемы сточных вод в результате деятельности птицеводческого предприятия, которая решалась с использованием ряда специальных методов исследований. Исследования проводили с 2011 по 2022 г. во время выездов в различные районы Кабардино-Балкарии. Анализировали сточные воды и водоемы местной птицефабрики. Выявлено, что биологическая реабилитация водоемов, загрязненных птицеводческим предприятием, с применением биологически активной добавки на основе одноклеточной микроскопической водоросли Chlorella vulgaris направлена на улучшение качественных характеристик водоемов — коэффициента пропускания света, снижение азота общего и аммонийного, а также гибель болезнетворных микроорганизмов. В результате биологической реабилитации сточных вод через 10 дней после добавления суспензии хлореллы коэффициент пропускания света повысился с 1,0 до 89,0 %; отмечено снижение азота аммонийного в 9, азота общего — в 13,6 раза; гибель микроорганизмов составила 99,1 %. Метод не имеет экономической альтернативы, так как затраты на его осуществление в десятки раз ниже любого другого способа борьбы с цветением водоемов, а получаемые дивиденды значительно увеличиваются за счет дополнительных, положительных результатов.
Опыт переподготовки кадров для ведения агробизнеса
Authors: Фадеева Наталия Анатольевна , Кириллов Николай Александрович
Published: April 2023

Изучена практика государственной поддержки в виде выделения грантов главам крестьянско-фермерских и личных подсобных хозяйств через механизм предварительного обучения их на базе аграрных вузов страны. На основе анализа опыта подготовки и переподготовки кадров для ведения агробизнеса в Чувашском ГАУ отмечена высокая эффективность финансируемого Россельхозбанком образовательного проекта «Школа фермеров». После прохождения 252-часовой программы профессиональной переподготовки «Агробизнес фермерского хозяйства» выпускники получают официальные дипломы государственного образца по одному из выбранных направлений обучения — «Современные технологии сыроделия», «Ягодоводство», «Тепличное овощеводство», «Современные технологии аквакультуры» — и получают возможность участвовать в конкурсе грантов, право на льготное кредитование и другие формы финансовой поддержки. Кроме этого, в рамках профориентационной работы среди молодежи при Чувашском ГАУ функционируют агроклассы, в которых проходят обучение в смешанном формате 453 школьника из разных административных районов Чувашии.
Analyzing 50 Years of Major Fog Events Across the Central Coastal Plain of Israel
Authors: Gao Oliver , David Noam , Rayitsfeld Asaf
Published: April 2023

This work presents an analysis of 152 major fog events that have been occurring for five decades (1967-2017) across the central coastal plain of Israel. Analysis of the meteorological data shows that fog events in the experimental area predominantly occur under two sets of synoptic conditions – Red Sea Trough (44%) and Ridge (41%), while the incidence of fog events peaks between March and June. In particular, the results obtained indicate a decreasing trend in the number of fog events and their duration over time where the frequency of radiation fog has decreased over time when compared to the incidence of advection fog. Further investigation is required in order to determine the reasons for the decreasing fog trends observed. However, possible drivers include climate change and the urban heat island effect. The paper provides a long-term analysis of data in a region that lacks reliable time series of this length, and highlight important insights for future research.
ORDEM DO DISCURSO SOBRE A JORNADA DE TRABALHO NA ENFERMAGEM
Authors: Santana Rodrigues Urbanir , Pereira Rodrigues Eder , Toledo Martins Herbert
Published: April 2023

Objetivo: analisar a ordem discursiva proferida pelos Conselhos Regionais de Enfermagem da região nordeste quando instados a se manifestar sobre a jornada de trabalho no campo da enfermagem. Método: pesquisa qualitativa, documental, suporte teórico a ordem do discurso de Michael Foucault. Resultados: revelou falta consenso nas orientações dos Pareceres Técnicos relacionados ao tema jornada de trabalho, a falta de laços de solidariedade da categoria e tensão entre a hipossuficiência da trabalhadora diante a da mera liberalidade por decidir a sua jornada laboral. Conclusão: Os regimes de verdade produzidos nos Pareceres Técnicos remetem à reflexão sobre a necessidade de reconstrução da Enfermagem no sentido de participar efetivamente de um movimento político, social e ideológico para fortalecer a profissão.

Palavras-chave: Enfermagem; Jornada de Trabalho; Emprego
رياضة التايكواندو بين الماضي والحاضر
Authors: عبد المحسن خليل سعود
Published: April 2023

هدف البحث الى :

   - استقراء الواقع التاريخي لرياضة التايكواندو بين الماضي والحاضر

واشتملت هذه الدراسة على مجموعة من المحاور ( محور تاريخ التايكواندو ، وفلسفة التايكواندو، احزمة التايكواندو ، والبطولات العالمي للاعوام 1973 – 2021 ، فضلا عن جدول لتوزيع المداليات ، ومحور قوانين التايكواندو ، والادوات المستخدمة في المباريات اضافة الى نظام التحكيم الالكتروني ) 

واستنتج الباحثون مايأتي :

ظهرت رياضة التايكوندو في كوريا منذ أكثر من 2000 سنة

في عام 1973 ميلادي، أُنشئ الاتحاد العالمي للتايكوندو

واوصى الباحثون بما يلي :

حث الباحثين على القيام باجراء دراسات عن رياضة التايكواندو

تعريف الشعوب برياضة التايكواندو عن طريق المراكز البحثية والاعلامية
Mitigating Spurious Correlations in Machine Learning Models: Techniques and Applications
Authors: Srivastava Mashrin
Published: April 2023

Spurious correlations in machine learning models can lead to undesirable behaviors and catastrophic failures in real-world applications. This paper aims to provide an overview of techniques and methodologies for mitigating spurious correlations in machine learning models, with a focus on invariance and stability. We discuss the challenges and limitations of existing approaches and present case studies from various domains, including medical imaging, visual question answering, and natural language processing. Finally, we propose future research directions to address the issue of spurious correlations in machine learning models.
FORWARD Press and intellectual democracy
Authors: Ranjan Pramod
Published: April 2023

This editorial appeared in the last print issue (June 2016) of FORWARD Press, published from New Delhi. The article discusses the need for a democratic form of the newsroom. Along with this, various dimensions of Dalit-Bahujan journalism have come to the fore. The Forward Press magazine was bilingual (Hindi and English). The article uploaded here is also in both Hindi and English. Its title in Hindi is "फारवर्ड प्रेस और बौद्धिक लोकतंत्र" This article in Hindi can also be accessed here: https://osf.io/547ph
Differential expression of LGI1 in cancer of the head and neck: oral squamous cell carcinoma.
Authors: Mamoor Shahan
Published: April 2023

Head and neck cancers are an emerging public health problem and most are now thought to be caused by high-risk human papillomavirus infection (1-3). We mined public microarray datasets (4, 5) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with oral squamous cell carcinoma (OSCC). We found significant differential expression of the gene encoding leucine-rich glioma inactivated 1, LGI1, when comparing OSCC tumor tissue to the tissue of origin. LGI1 mRNA was present at significantly lower quantities in tumors of the head and neck as compared to normal tissues from the head and neck. Analysis of human survival data revealed that expression of LGI1 in head and neck tumors was correlated with recurrence-free survival in patients with head and neck cancer. LGI1 expression changes may be important for the initiation or progression of human OSCC.