Natural Imbalance Research Articles

The Application of Soil Erosion Models of an Agroforestry Basin under Mediterranean Conditions from a Geotechnical Point of View

Soil erosion has been causing an imbalance in nature and the environment. It is mainly caused naturally but is also due to human interventions leading to desertification and possible contamination. Therefore, engineering, geography, and cartography have been allies in applying erosion models to predict, address, and remediate the impacts. Therefore, the Revised Universal Soil Loss Equation (RUSLE) and Soil and Water Assessment Tool (SWAT) linked to Geographic Information Systems (GISs) could boost decision making as tools to mitigate issues. This study applies the RUSLE and SWAT models from a geotechnical point of view to analyze a sub-watershed at Idanha-a-Nova (Portugal) over 4 years, showing a predominant erosion risk class with losses lower than 5 t.ha−1.year−1 (60 to 86%), characterized as very low risk. The modeling permitted the development of soils erosion susceptibility charts, in addition to material availability and the suitability for construction areas, exposing a replicable methodology that could contribute to minimizing environmental impacts while encouraging a more intelligent use of the land towards a greener exploration.

Precise and Accurate Short-term Forecasting of Solar Energetic Particle Events with Multivariate Time-series Classifiers

Solar energetic particle (SEP) events are one of the most crucial aspects of space weather that require continuous monitoring and forecasting using robust methods. We demonstrate a proof of concept of using a data-driven supervised classification framework on a multivariate time-series data set covering solar cycles 22, 23, and 24. We implement ensemble modeling that merges the results from three proton channels (E ≥ 10 MeV, 50 MeV, and 100 MeV) and the long-band X-ray flux (1–8 Å) channel from the Geostationary Operational Environmental Satellite missions. Our task is binary classification, such that the aim of the model is to distinguish strong SEP events from nonevents. Here, strong SEP events are those crossing the Space Weather Prediction Center’s “S1” threshold of solar radiation storm and proton fluxes below that threshold are weak SEP events. In addition, we consider periods of nonoccurrence of SEPs following a flare with magnitudes ≥C6.0 to maintain a natural imbalance of sample distribution. In our data set, there are 244 strong SEP events comprising the positive class. There are 189 weak events and 2460 “SEP-quiet” periods for the negative class. We experiment with summary statistic, one-nearest neighbor, and supervised time-series forest (STSF) classifiers and compare their performance to validate our methods for prediction windows from 5 minutes up to 60 minutes. We find the STSF model to perform better under all circumstances. For an optimal classification threshold of ≈0.3 and a 60 minutes prediction window, we obtain a true skill statistic TSS = 0.850, Heidke skill score HSS = 0.878, and Gilbert skill score GSS = 0.783.

Representasi Gender dan Ekologi di Media: Perspektif Ekofeminis

Critical views see the media not only as a tool of the dominant group but also as a producer of ideology. The media helps spread its ideas and control other groups, it is also a subject that constructs reality, complete with its views, biases, and partisanship. Suara Aisyiyah magazine is one of the mass media published since 1926 and is the oldest women's magazine in Indonesia. So it is very interesting to read how Suara Aisyiyah provides discourse on ecofeminism. An approach that seeks to understand and address the root causes of social injustice, ecological imbalance, and exploitation of nature by linking the close relationship between the oppression of women and the oppression of nature. This study uses a qualitative descriptive analysis research method by describing each data which is then analyzed in detail and synthesized effectively. The results state that Ecofeminism in the Suara Aisyiyah magazine that is built is a relationship related to the role of women in nature conservation in the form of protection, utilization, and preservation of natural resources, maintaining family food security, and access to utilizing natural resources for the daily economy.

Base excision repair and double strand break repair cooperate to modulate the formation of unrepaired double strand breaks in mouse brain

We lack the fundamental information needed to understand how DNA damage in the brain is generated and how it is controlled over a lifetime in the absence of replication check points. To address these questions, here, we integrate cell-type and region-specific features of DNA repair activity in the normal brain. The brain has the same repair proteins as other tissues, but normal, canonical repair activity is unequal and is characterized by high base excision repair (BER) and low double strand break repair (DSBR). The natural imbalance creates conditions where single strand breaks (SSBs) can convert to double strand breaks (DSBs) and reversibly switch between states in response to oxidation both in vivo and in vitro. Our data suggest that, in a normal background of repair, SSBs and DSBs are in an equilibrium which is pushed or pulled by metabolic state. Interconversion of SSB to DSBs provides a physiological check point, which would allow the formation of unrepaired DSBs for productive functions, but would also restrict them from exceeding tolerable limits.

Environment Aspects and Daily Life-Threatening Risk Prediction for Improving Public Health Using Ensemble Learning Techniques

Increasing work nature in the fastest world need relaxing to maintain public health is important. But the continuous imbalance of work nature in human daily life doesn’t have time to consecrate the health with leads life threatening facts such as work tension, management stress, job professional, family needs, improper periodic work cycle, and soon. By analyzing the daily public life threatening risk prediction based on Feature selection and classification to category the public health to recommend for phycological treatment. By suggesting treatment schedule are important to balance the public health Lifecyle to make stress free life to spent with nature. Most of prevailing techniques analyse the life-threatening issues, but the features are improperly to taken without the mutual relation cause poor accuracy in precision and classifications rate with more false prediction rate. To tackle this issue, to propose an optimized ensemble learning Techniques based on multi scalar support vector machine (MSSVM) with deep scaled XGboost classifier (DSXG-boost) to improve the prediction accuracy. Initially the public life Cycle dataset is collected and to make normalization using Min-max normalization. Then the Public Life Threat Impact Rate (PLTIR) is analysed to marginalize the heath affecting features. Then then stress margin dependencies feature limits are selected with support of MSSVM. The selected features are grouped in cluster margins and classified with deep scaled XG boost algorithm to predict the active and inactive heath margin be categorized by risk threaten class. The proposed system prove the prediction accuracy in higher precision are by selecting mutual dependencies of health affection feature limits and best recall rate to improve the performance. Based on the predicted class, the categorized life threaten risk peoples are recommends to make phycological treatment to protect the public life cycle.

Identification and Conservation Status of Birds Traded in Bird Shops in Kuranji District, Nanggalo District, East Padang District, South Padang District, and Lubuk Begalung District, West Sumatra

Indonesia is a country with the highest diversity in the world. One of Indonesia's diversity is birds. Birds have many roles in maintaining the balance of nature. However, as birds become more popular every year, many birds are hunted and traded freely. This has an impact on the natural imbalance caused by the decline in bird populations and even the extinction of birds. The purpose of this study is to identify the species and conservation status of birds traded in Padang City, West Sumatra. This study is a descriptive study with a field survey method in several bird shops spread across several sub-districts in Padang City, West Sumatra. The results of the identification of the conservation status of birds traded in the city of Padang, West Sumatra used the IUCN red list website. Based on the data, as many as 25 out of 34 species of birds that have been identified have the Least Consern conservation status.

Measuring 3D tree imbalance of plant models using graph-theoretical approaches

Imbalance in the 3D structure of plants can be an important indicator of insufficient light or nutrient supply, as well as excessive wind, (formerly present) physical barriers, neighbor or storm damage. It can also be a simple means to detect certain illnesses, since some diseases like the apple proliferation disease, an infection with the barley yellow dwarf virus or plant canker can cause abnormal growth, like “witches' brooms” or burls, resulting in a deviating 3D plant architecture. However, quantifying imbalance of plant growth is not an easy task, and it requires a mathematically sound 3D model of plants to which imbalance indices can be applied. Current models of plants are often based on stacked cylinders or voxel matrices and do not allow for measuring the degree of 3D imbalance in the branching structure of the whole plant.On the other hand, various imbalance indices are readily available for so-called graph-theoretical trees and are frequently used in areas like phylogenetics and computer science. While only some basic ideas of these indices can be transferred to the 3D setting, graph-theoretical trees are a logical foundation for 3D plant models that allow for elegant and natural imbalance measures.In this manuscript, our aim is thus threefold: We first present a new graph-theoretical 3D model of plants and discuss desirable properties of imbalance measures in the 3D setting. We then introduce and analyze eight different 3D imbalance indices and their properties. Thirdly, we illustrate all our findings using a data set of 63 bush beans. Moreover, we implemented all our indices in the publicly available R-software package treeDbalance accompanying this manuscript. Using this software package, all presented 3D imbalance indices can be computed in linear time (depending on the size of the 3D plant model), and the package also provides an implementation of the algorithm to obtain a perfectly balanced version of a given 3D plant model (also in linear time).

Environmental Fiction and Concept of Nature in From Heaven Lake

Environmental fiction is one that deals with men’s social conditions, environment and nature. It is a study of relationship between man and nature. Man is always dependent on nature. He cannot live without it. Nature provides the means of livelihood to the human beings. Nature is mighty and powerful to man. Man has always tried to make a victory over nature, but it is very temporary or momentary. Nature always makes a balance, but if there is any kind of nature created by man, there is every time a natural imbalance between man and nature. For removing this imbalance, man always makes a compromise with nature. Nature is cruel and so, it is necessary to compromise with nature. Otherwise, nature will destroy all those things which concern man.

Feature Selection based nature inspired Capuchin Search Algorithm for solving classification problems

Identification of the optimal subset of features for Feature Selection (FS) problems is a demanding problem in machine learning and data mining. A trustworthy optimization approach is required to cope with the concerns involved in such a problem. Here, a Binary version of the Capuchin Search Algorithm (CSA), referred to as BCSA, was developed to select the optimal feature combination. Owing to the imbalance of parameters and random nature of BCSA, it may sometimes fall into the trap of an issue called local maxima. To beat this problem, the BCSA could be further improved with the resettlement of its individuals by adopting some methods of repopulating the individuals during foraging. Lévy flight was applied to augment the exploitation and exploration abilities of BCSA, a method referred to as LBCSA. A Chaotic strategy is used to reinforce search behavior for both exploration and exploitation potentials of BCSA, which is referred to as CBCSA. Finally, Lévy flight and chaotic sequence are integrated with BCSA, referred to as LCBCSA, to increase solution diversity and boost the openings of finding the global optimal solutions. The proposed methods were assessed on twenty-six datasets collected from the UCI repository. The results of these methods were compared with those of other FS methods. Overall results show that the proposed methods render more precise solutions in terms of accuracy rates and fitness scores than other methods.

Enteral hydration in cows: Comparison between continuous flow and bolus administration.

Enteral hydration in cattle is most commonly performed as a bolus (B) via the ororuminal route, although continuous flow (CF) administration via the nasoesophageal route represents a viable alternative. Currently, no study has compared the effectiveness of these two methods. This study aimed to compare the efficiency of enteral hydration using CF and B to correct water, electrolyte and acid-base imbalances in cows. Protocols for the induction of dehydration were applied twice to eight healthy cows, with an interval of 1 week. In a crossover design, two types of enteral hydration were performed using the same electrolyte solution and volume equal to 12% of bodyweight (BW): CF (10mL/kg/h, between 0 and 12hours) and B (6% BW, twice, at 0 and 6hours). Clinical and blood variables were determined at -24, 0, 6, 12 and 24hours and compared using repeated-measures ANOVA. Induced moderate dehydration and hypochloremic metabolic alkalosis were corrected after 12 hours using the two hydration methods, with no differences observed between the methods. The study was conducted with induced rather than natural imbalances, so the findings should be interpreted cautiously. Enteral CF hydration is as effective as B hydration in reversing dehydration and correcting electrolyte and acid-base imbalances.

Power‐Law‐Based Synthetic Minority Oversampling Technique on Imbalanced Serum Surface‐Enhanced Raman Spectroscopy Data for Cancer Screening

Surface‐enhanced Raman spectroscopy (SERS) has shown highly promising for existing cancer screening. However, previous “proof‐of‐concept” studies ignored the natural imbalance of cancer types in the population, leading the model to be biased toward learning more features in majority class during the learning process at the expense of ignoring minority class. Herein, a power‐law‐based synthetic minority oversampling technique (PL‐SMOTE) method is proposed to guide the resampling of multiclass serum SERS data by analyzing the long‐tailed (power‐law) distribution of cancer prevalence in the population. The proposed PL‐SMOTE method balances the number of minorities to resample and the number of overlaps between classes by introducing modulating factor. Modeling on resampled datasets synthesized by PL‐SMOTE verifies the effectiveness of proposed PL‐SMOTE method. After further fine‐tuning, the parameters of the deep neural network model and PL‐SMOTE method, an optimal cancer screening model with an optimal macroaveraged Recall score of 97.24% and an optimal macroaveraged F2‐Score of 97.38% is obtained. A new method for multiclass imbalanced resampling is provided, which has significant improvement on model performance in terms of SERS cancer screening. The method also inspires in other multiclass imbalanced scenario, such as biological medicine, abnormal detection, and disaster prediction.

Environmental Crisis and Local Wisdom; Learning from the Cosmology of the Minang and Javanese Communities

<span lang="EN" style="">Humans and nature are two inseparable components. These two components are connected in a complex way. The environmental crisis is a real threat at this point. Various natural phenomena such as hot summers and rains that come irregularly are examples of an imbalance in nature. This article argues that the knowledge possessed by a community group can help preserve the environment in that area. This is due to social networks that produce a number of shared knowledge between humans and nature that can shape their way of life. The methodology used in this study is a qualitative method by conducting literature reviews, environmental observations, and in-depth interviews with traditional leaders and indigenous peoples to identify and analyze local wisdom in two major ethnic groups in Indonesia, namely: Minangkabau and Javanese. The Minang people have local wisdom through rimbo larangan (forbidden forests) and customary land in preserving their environment. Meanwhile, Java has a tradition of the tayub dance which is performed during the harvest season. The main finding in this study is that local wisdom derived from the culture of the local community can help preserve the environment but needs to be strengthened through positive law in the country.<span style="font-size: 10pt;"><o:p></o:p></span></span>

Environmental Crisis and Local Wisdom; Learning from the Cosmology of the Minang and Javanese Communities

<span lang="EN" style="">Humans and nature are two inseparable components. These two components are connected in a complex way. The environmental crisis is a real threat at this point. Various natural phenomena such as hot summers and rains that come irregularly are examples of an imbalance in nature. This article argues that the knowledge possessed by a community group can help preserve the environment in that area. This is due to social networks that produce a number of shared knowledge between humans and nature that can shape their way of life. The methodology used in this study is a qualitative method by conducting literature reviews, environmental observations, and in-depth interviews with traditional leaders and indigenous peoples to identify and analyze local wisdom in two major ethnic groups in Indonesia, namely: Minangkabau and Javanese. The Minang people have local wisdom through rimbo larangan (forbidden forests) and customary land in preserving their environment. Meanwhile, Java has a tradition of the tayub dance which is performed during the harvest season. The main finding in this study is that local wisdom derived from the culture of the local community can help preserve the environment but needs to be strengthened through positive law in the country.<span style="font-size: 10pt;"><o:p></o:p></span></span>

Identification of spatial imbalances and risks of regional labor market development in Ukraine in the context of current destabilization processes

The article focuses on the problems of destabilization of the Ukrainian national economy and its regional markets in the context of the full-scale war. The key challenges of regional development in the short term as a result of their growing imbalances are identified, in particular the functioning of labor markets. The authors point out the long-term challenges to the development of regional labor markets and prove that the policy of their leveling should be based on strengthening competitiveness and enhancing convergence with the EU labor markets. The most critical trends in social stability in the regions of Ukraine during the war are characterized. The article presents statistical parameters of the registered labor market in the regions of Ukraine separately in terms of labor supply and separately in terms of labor demand in the pre-war period and during the war. The reasons for the low level of registered unemployment in the regions of Ukraine during the war are highlighted. The authors analyze the level of balance of regional labor markets and identify the main risks and threats to their functioning and development in the context of modern destabilization processes. Based on the analysis of regional aggregate demand (vacant and employed jobs) and aggregate supply (economically active population) in 2008, 2014, and 2021, the level of balance of the domestic labor market is calculated and assessed. Three types of labor-surplus regions are identified: (1) regions with a lag in socio-economic development and intensive demographic growth; (2) depressed regions, where the number of jobs stabilizes or decreases due to stagnation in the areas of specialization due to the exhaustion of raw materials or poor competitiveness of manufactured products; (3) regions with a deformed economic structure or monopoly position of enterprises and individual industries in the labor market, which leads to an imbalance of demographic or qualification nature. The prospects and priorities of the state policy of stabilizing the functioning and ensuring the development of regional labor markets in Ukraine are outlined.

Application of agriculture and an industrial by-product as a supplementary cementitious material in binary and ternary blended concrete

The production of ordinary Portland cement [OPC] causes an environmental imbalance of nature by consuming the natural resources and releasing a very high amount of atmospheric carbon dioxide. Therefore it is necessary to find the substitute to cement. Bagasse ash from sugar industries and slag from steel industries are the waste product which is utilized as the supplementary cementitious materials. In this study, sugarcane bagasse ash (SCBA) and ground granulated blast furnace slag (GGBFS) are used to replace cement partially. The fresh and harden properties find out for the M25 grade of concrete. The experimental outcome reveals that binary concrete with 15% bagasse ash and ternary concrete with 20% bagasse ash and 5% slag had maximum strength.

Pathophysiology of Janapadoddhwamsa wsr to Covid-19 Pandemic

Janapadoddhwamsa or pandemic which is a state of worldwide destruction occurred because of Vikruti (vitiation) of Vayu, Jala, Desh and Kaal. These four natural/environmental factors are considered as ‘Janapadodhwamsakara Bhavas’ because when these Bhavas get vitiated, the ecological imbalance in nature occurs resulting in natural disasters and the creation and evolution of so many ‘Yonisankar sukshma bhutas’ or bacteria and viruses. In the scenario of Covid-19, this article is an effort to evaluate the concepts of Bhutas in the light of the pathogenesis of Janapadoddhwamsa and disease-causing agents. In Ayurveda science, the concept of microorganisms collectively comes under the topic of ‘Bhutas – which occupies the human body’. So, the aim is to explore the hidden facts about Bhutas as a causative factor of Janapadoddhwamsa, while using the method of textual analysis of Vedas and Samhitas. In conclusion, for a better future and a protracted fight against the virus, one should understand the concepts of Bhutas, and its related terminologies mentioned in our literature alongwith its preventive measures mentioned under the classification of Bhutaghna and Rakhsoghna dravyas, Krimighna dravyas and techniques, the rules mentioned in Sadvritta for the betterment of life and avoidance of Pragyaparadha.

Predicting number of threads using balanced datasets for openMP regions

Incorporating machine learning into automatic performance analysis and tuning tools is a promising path to tackle the increasing heterogeneity of current HPC applications. However, this introduces the need for generating balanced datasets of parallel applications’ executions and for dealing with natural imbalances for optimizing performance parameters. This work proposes a holistic approach that integrates a methodology for building balanced datasets of OpenMP code-region patterns and a way to use such datasets for tuning performance parameters. The methodology uses hardware performance counters to characterize the execution of a given region and correlation analysis to determine whether it covers an unique part of the pattern input space. Nevertheless, a balanced dataset of region patterns may become naturally imbalanced when used for training a model for tuning any specific performance parameter. For this reason, we have explored several methods for dealing with naturally imbalanced datasets for finding the appropriated way of using them for tuning purposes. Experimentation shows that the proposed methodology can be used to build balanced datasets and that such datasets, plus a combination of Random Forest and binary classification, can be used to train a model able to accurately tune the number of threads of OpenMP parallel regions.

Industrial Development and Climate Change: A Case Study of Bangladesh

This study attempts to examine the climate change in Bangladesh as a cause of industrialization. Over the last few decades, pollution of the environment has become a significant concern in the case of Bangladesh. Both qualitative and quantitative data were utilized to write this article. Primary and secondary data on the environment, national policy, and technology have been gathered. Research results show that rapid and unplanned industrialization has turned into the main cause of the endangered environment. The toxic waste materials of industries are dumped into water and ground, causing air pollution, water pollution, and soil pollution. As a result, the people of the riverbank are suffering a lot. Though industrial development is very much required for a country’s development, it is also undermining the environment which will destroy the natural balance and impose a long-term effect on climate in near future. In Bangladesh, industries are developed in an unplanned and centralized way without following any particular guidelines. The poor waste management system of industries are polluting rivers and toxic emission is polluting the air as well. Natural resources are used by the industries, causing an imbalance in nature. Forests are cut down massively, which increases the chance of various natural disasters. Industrialization has a long-term effect on climate change which also increases the average temperature of the earth known as global warming. Climate change also increases the chance of various natural disasters, unemployment, food scarcity, diseases, and extinction of wildlife.

Agricultural Culture between Perspectives and Production Trends of Adaptation to Climate Change

The climate paradigm of agriculture under the Common Agricultural Policy shows that current working practices together with environmental innovations and the elimination of chemical fertilizers are catalysts for a European agriculture that has the potential to become less harmful to the environment. Research seeks to extract a set of factors that can lead to the natural imbalance of plants. The development of an agricultural crop offers a new way on the general perception between need and consumption, the intersection being governed by the general cyclical and regenerative purpose in symbiosis with the environment. Thus, the change of environment generates direct effects in terms of production, farmers adapting production to the response of crops to climate, especially on plant protection, taking into account the effects of climate change. Environmental protection and sustainable management of natural resources, vulnerabilities related to fertilizer application techniques are current individualized concerns in the development of areas. The excessive and intrusive development generated by soil development and loss, causes degradation of the environment and society and the reorientation of methods applied to plant protection to protect the biosphere has returned today. Climate change involves the reduction of greenhouse gas emissions and the adaptation of agricultural systems and, in our opinion, these are closely linked to the use of different types of plant protection. Analyzes indicate that the products chemicals that are used to control diseases in agricultural crops are growing in the highlighted agricultural areas. This research uses the theories of empirical analysis, the role of research and studies has shown an important factor in reducing the carbon footprint can be highlighted from the perspective of the production load and implicitly of plant protection products used. The novelty of this research indicates that agricultural practices for the application of plant protection have a response to climate change and due to atmospheric pressure. During the research, values were found that contribute to the development of the agricultural sector as part of the economy, Studies have shown effect of the climate being a factor not to be neglected in agricultural techniques. The research question is how climate change regulations influence the vision of the Common Agricultural Policy and climate change from the perspective of adapting to the needs imposed by sustainability. The main objective of the paper is to highlight the main levers of agricultural sustainability in accordance with the requirements of the Common Agricultural Policy.

Use of copper slag in concrete production – a sustainable solution for solid waste management

In India, the construction activities are increasing day by day and as a result, the natural sand has become scare and costly material. To meet this increase in demand one has to go for excessive mining of river bed and that leads to natural imbalance. Therefore reducing the consumption of natural sand in construction is a major issue considering both the environment and economic issues. To balance the demand one has to go for sustainable unconventional innovative materials and particularly the industrial by products where there mass disposal and solid waste management is the problem. Copper slag is one of the industrial by-product obtained during manufacture of copper. This paper presents the experimental results on concrete made of copper slag. Mechanical properties like compressive strength, abrasion resistance and durability properties like acid resistance were carried out. The test results shows the concrete containing copper slag as fine aggregate has good strength and properties and the copper slag replacement level can be limited to 40-60% (by weight).