bluuebunny/crossref_metadata_2025 huggingface dataset:
Dimensional Measurement of Validity Item of Market Complexity and Corporate Strategy in the Banking Sector in Indonesia
Authors: Fauzi Teddy Hikmat
Published: December 2021

The company always faces challenges both internally and externally in managing resources and achieving organizational goals. To be able to compete, corporations need to manage the complexity and uncertainty in the market environment by improving management. To date, few studies are available to verify the items required for business, particularly banking as a guide for designing such complexities. In this regard, this study seeks to provide validity items that are useful for the world of corporate banking, in managing the complexities of the external environment and in formulating and implementing strategies. By combining the concept of human resource management, socio-economic factors through a dimensional measurement with a stakeholder approach, the study findings demonstrate several important keys for banks to manage external elements and strategies as a guide to measuring effectiveness that can be used as a basis for further studies.
Prediction of Diabetes with Deep Neural Network
Authors: Hamodi Yaser Issam
Published: December 2021

Diabetic mellitus is hitting the globe since decades. it often leads to dangerous health issues such as kidney problems, heart strokes, nervous system disturbance and eye problems etc. The prediction and detection of such a deadly disease is pivotal. In the conducted study, we have built a diabetic prediction model which is based on deep neural networks. We performed our experiments with two-fold and four-fold cross validation. Our diabetic prediction model has reported an accuracy of 98.45% which is quite high.
A LSTM Approach for Secure Energy Efficient Computational Offloading in Mobile Edge Computing
Authors: Anoop S. , Pratap Singh Dr.J. Amar
Published: December 2021

Mobile technologies is evolving so rapidly in every aspect, utilizing every single resource in the form of applications which creates advancement in day to day life. This technological advancements overcomes the traditional computing methods which increases communication delay, energy consumption for mobile devices. In today’s world, Mobile Edge Computing is evolving as a scenario for improving in these limitations so as to provide better output to end users. This paper proposed a secure and energy-efficient computational offloading scheme using LSTM. The prediction of the computational tasks done using the LSTM algorithm. A strategy for computation offloading based on the prediction of tasks, and the migration of tasks for the scheme of edge cloud scheduling based on a reinforcement learning routing algorithm help to optimize the edge computing offloading model. Experimental results show that our proposed algorithm Intelligent Energy Efficient Offloading Algorithm (IEEOA), can efficiently decrease total task delay and energy consumption, and bring much security to the devices due to the firewall nature of LSTM.
Analysis of Fundamental Services in Kupang City NUSA Tenggara Timur
Authors: Lalang John D. , Tameno Nikson , Molidya Aldarine , Tomasowa Olivia L.E.
Published: December 2021

This study analyzes people's access to the use of basic service facilities in Kupang City, East Nusa Tenggara. Research on the portrait of basic service functions in Kupang City. Kupang City has a high enough potential to advance basic service facilities, but it is not supported by adequate facilities and infrastructure. The absence of these supporting facilities will certainly reduce the quality of basic services in Kupang City. This research provides benefits for the NTT provincial government and can be used as a reference in improving facilities and improving basic services from bureaucrats, because the innovation of this study is the SPM of basic services that are good in accordance with the low conditions of basic service facilities. Research Approaches and Types the implementation of this research uses quantitative descriptive methods using schalogram analysis, because the aim is to describe and describe what it is about a particular variable, symptom, state or social phenomenon. So it is hoped that with better basic services from the bureaucrats, it is expected to improve the bad image of bureaucrats in Kupang City.
Hough Transform for Distinctive Edge Detection to Images in Fingerprint Recognition Matching Transformation
Authors: Altameemi Hayder G.A. , Ismael Ahmed Abdul Azeez , Mehsen Raddam Sami
Published: December 2021

Biometric Identification is a globally renowned procedure, which has been utilised to achieve a successful and accurate level of identification. In the sea of biometrics, fingerprints are deemed more popular when it comes to verification. This results from the presence of the ridges on the fingerprints that are completely exclusive to each individual. Besides that, fingerprints are expansively employed to ascertain and authenticate people individually. Therefore, this study had proposed to employ distinctive Edge Detection techniques together with the Hough Transform to match the images of the fingerprints in a fingerprint matching system. The Hough Transform is a superior procedure carried out to get an accurate series of finer points or lines. The finer points or lines would then distinguish the fingerprints. Nevertheless, it was still a challenge to extract finer points or lines from the fingerprints under uninhibited conditions. Therefore, this paper was organised based on four distinctive steps. First, different Edge Detection operators were employed to perform the fingerprint matching algorithm. Next, the fingerprint matching algorithm was applied twice to the same Edge Detection operators. Thirdly, the Edge Detection operators had been substituted with the Transformation Method for the same matching procedure. For example, the proposed fingerprint matching algorithm comprised of the Hough Transform and same Edge Detection operators. Finally, distinct Edge Detection operators based on the decision making algorithm were used to calculate and determine the percentage of matching. Therefore, this study proved that the prints obtained via the Prewitt Edge Detection together with Hough Transform were in an agreement.
Abstractive Text Summary of COVID-19 Documents based on LSTM Method and Word Embedding
Authors: Turky Saja Naeem , AL-Jumaili Ahmed Sabah Ahmed , Hasoun Rajaa K.
Published: December 2021

An abstractive summary is a process of producing a brief and coherent summary that contains the original text's main concepts. In scientific texts, summarization has generally been restricted to extractive techniques. Abstractive methods that use deep learning have proven very effective in summarizing articles in public fields, like news documents. Because of the difficulty of the neural frameworks for learning specific domain- knowledge especially in NLP task, they haven't been more applied to documents that are related to a particular domain such as the medical domain. In this study, an abstractive summary is proposed. The proposed system is applied to the COVID-19 dataset which a collection of science documents linked to the coronavirus and associated illnesses, in this work 12000 samples from this dataset have been used. The suggested model is an abstractive summary model that can read abstracts of Covid-19 papers then create summaries in the style of a single-statement headline. A text summary model has been designed based on the LSTM method architecture. The proposed model includes using a glove model for word embedding which is converts input sequence to vector forms, then these vectors pass through LSTM layers to produce the summary. The results indicate that using an LSTM and glove model for word embedding together improves the summarization system's performance. This system was evaluated by rouge metrics and it achieved (43.6, 36.7, 43.6) for Rouge-1, Rouge-2, and Rouge-L respectively.
Extended Distributed Framework for Feature Extraction in Remote Sensing Imagery with High Resolution
Authors: Raju T. Naga , Suneetha Dr. Chittineni
Published: December 2021

Remote Sensing imagery is used vastly in the areas of human activities investigation, environmental changes monitoring and geo-spatial data updation in a rapidly increasing way. Humans can easily and appropriately interpret the normally shot pictures but this is a difficult task for the computer to automatically interpret information from the given images. One of the prominent phases is in finding the way to extract the projected information from the given imagery and its conversion to wrath-ful data which can be used for further research. The motto is the generation of an algorithm which aims to be very efficient during of processing of huge images that include enhancement of efficiency in processing, correlation finding amongst given data and extraction of continuous features. In order to accomplish all these purposes as stated above, we hereby put forward an algorithm Extended Feature Extraction and Detection in High Resolution Remote Sensing (HRRS) Imagery to detect rivers. The proposed system is established with Hadoop Distributed Framework in order to enhance the efficiency of total system.
Decision Tree-based Hybrid Multiprocessor Task Scheduling for the Cyber-Physical System
Authors: Padmajothi V. , Iqbal J.L. Mazher
Published: December 2021

Scheduling is a critical process in cyber-physical systems to ensure the computation will be over within the physical system's deadline. Under the cyber-physical system, the processor is distributive and hydrogenous. Less latency task scheduling under this distributive cyberphysical system with a hydrogenous processor and resource is challenging. This article presents a decision tree based less complex mechanism of task scheduling in a heterogeneous processor environment this proposed mechanism model the tasks and the processor resource, current load level, their individual computational capability, memory availability, communication delay in the distributive system to move the task from one point to another point is taken into account for the scheduling purpose the numerical results prove that the proposed mechanism able to schedule the task quickly and with more task deadline meet the ratio.
Self-monitoring and Trust as Essential Factors on Impulsive Purchase of Hand Sanitizer Products in Indonesian COVID-19 Situation
Authors: Muthiya Aulia Ismi , Pradana Mahir , Wijaksana Tri Indra , Utami Fitriani Nur , Artadita Sherly
Published: December 2021

This study was conducted to analyze how self-monitoring affects impulse buying of hand sanitizers during the COVID-19 pandemic, as well as investigating what self-monitoring factors affect impulse buying of hand sanitizers during the covid-19 pandemic. This study uses an independent variable, namely self-monitoring. The dependent variable is impulse buying with consumer trust as an intervention variable. This study uses a descriptive causal research method with a quantitative approach. Sampling technique used in research. We use a non-probability sampling technique with purposive sampling type, with a total of 100 respondents. The data analysis technique used descriptive analysis and multiple linear regression analysis. Based on the results of descriptive analysis, there is a mediating effect between the relationship between consumer confidence with impulsive buying decisions.
Institutional Digital Transformation and the Relationship between the Digital Economy and Sustainable Development
Authors: Kadom Dr. Alsiedy Ibrahim Jawad , Kader Dr. Nadia Mahdi Abdul
Published: December 2021

At a time when the rate of technological growth worldwide is accelerating in its various forms (internet, IoT, artificial intelligence, cloud computing, digital transformation, blockchain, and big data), our institutions and administrative units are experiencing a complex struggle; It is not able to leave its traditional frameworks for a long time, nor is it able to catch up with the advanced technology every day, but perhaps every hour or minute. This dialectic posed an explicit challenge to the state's institutions, and placed it in the eye of the event. The Digital Transformation project will move “institutions from the traditional stage of interaction between citizens and management to a more modern, transparent, and more in line with technological progress in our world today, in which technology is the key to more achievements at a lower cost (make more for less). The research includes four sections. In the first topic, the researcher explains the different concepts of digital transformation, which no matter how many, they have one content, and also reviews the rules of change required for the digital transformation process, as well as a statement of the positive effects and possibilities offered by this transformation to the national economy. In the second topic, the researcher shows the relationship between the digital economy and both development and sustainable development, and the goals of sustainable development 2030. In the third topic, the researcher deals with the future trends of digital transformation and the foundations of the relevant national strategy, and reviews the most important risks that this transformation poses to the security and sovereignty of countries. In the fourth topic, the researcher provides the conclusions and recommendations that the most important of them are: monitoring the necessary investments and funds in the general budget; In order to implement the digital economy strategy and its requirements, and in conclusion, the relevant sources were mentioned.
The Role of Employees Empowerment Strategy in Crisis Management: Applied Study in Public Company of Electrical Industrial
Authors: Saeed L. Majid Mohammed , Jumaah Mahmood Hasan , Yasseen L. Hamza Hameed
Published: December 2021

The current research aims to test the relationship linkage and the effect between the employees empowerment strategy and crisis management, the problem of the research is the role of employees empowerment strategy in crisis management in the state company of electrical industry. A questionnaire was used in data collection depending on the distribution of (58) questionnaire to the research sample. Data were analyzed using (SPSS) program. Using a number of statistical tools to test the research hypothesis. The research came out with a set of conclusions, one of the most important thinks was that there is a linkage and impact relation between employees empowerment strategy, it's variables (Information sharing, Freedom and autonomy, Replace hierarchical structure with self-employment teams) and crisis management as a whole. The research came out with many suitable recommendations.
Prediction of the Academic Achievement of Pupils Using Data Mining Techniques
Authors: Khudhur Mokhalad Eesee , Ahmed Mohammed Shihab , Maher Saif Muhannad
Published: December 2021

Introduction: During this epidemic, a problem in fundamental education affecting all globe is occurring, and we note that education and learning were online and conducted in students. Academic performance of students must be forecast, so that the instructor may better identify the missing pupils and offer teachers a proactive opportunity to develop additional resources for the student to maximize their chances of graduation. Students' academic achievement in higher learning (EH) has been extensively studied in addressing academic inadequacies, rising drop-out rates, graduation delays, and other difficult questions. Simply said, the performance of students refers to the amount to which short and long-term educational objectives are met. Academics nonetheless judge student achievement from different viewpoints, from grades, average grade points (GPAs) to prospective jobs. The literature encompasses numerous computing attempts to improve student performance in schools and colleges, primarily through data mining and analysis learning. However, the efficiency of current smart techniques and models is still unanimous. Method: This study employs multiple methods for machine learning to forecast student progress. With its accurate data sample prediction, five integrated classification algorithms have been created to forecast students' academic success (support vectors, decision-making trees algorithm and perceptron algorithm, logistic regression algorithm and a random forest algorithm). Results: Students' academic achievement has been reviewed and assessed. The performance of five learning machines mentioned in Section 4 is discussed here. First, we displayed the data after pre-processing by simply displaying distributions to form the data packet and then evaluated 5 important learning methods and described the variables in the data set. The entire series of 480 characteristics were examined.
Modelling an Adaptive Learning System Using Artificial Intelligence
Authors: AL-Fayyadh Hayder Rahm Dakheel , Ganim Ali Salam Abdulabbas , Abood Dr. Basim
Published: December 2021

The goal of this paper is to use artificial intelligence to build and evaluate an adaptive learning system where we adopt the basic approaches of spiking neural networks as well as artificial neural networks. Spiking neural networks receive increasing attention due to their advantages over traditional artificial neural networks. They have proven to be energy efficient, biological plausible, and up to 105 times faster if they are simulated on analogue traditional learning systems. Artificial neural network libraries use computational graphs as a pervasive representation, however, spiking models remain heterogeneous and difficult to train. Using the artificial intelligence deductive method, the paper posits two hypotheses that examines whether 1) there exists a common representation for both neural networks paradigms for tutorial mentoring, and whether 2) spiking and non-spiking models can learn a simple recognition task for learning activities for adaptive learning. The first hypothesis is confirmed by specifying and implementing a domain-specific language that generates semantically similar spiking and non-spiking neural networks for tutorial mentoring. Through three classification experiments, the second hypothesis is shown to hold for non-spiking models, but cannot be proven for the spiking models. The paper contributes three findings: 1) a domain-specific language for modelling neural network topologies in adaptive tutorial mentoring for students, 2) a preliminary model for generalizable learning through back-propagation in spiking neural networks for learning activities for students also represented in results section, and 3) a method for transferring optimised non-spiking parameters to spiking neural networks has also been developed for adaptive learning system. The latter contribution is promising because the vast machine learning literature can spill-over to the emerging field of spiking neural networks and adaptive learning computing. Future work includes improving the back-propagation model, exploring time-dependent models for learning, and adding support for adaptive learning systems.
The Effect of Corporate Financial Performance on Market Value Moderated by Sustainable Development and Good Corporate Governance
Authors: R Mjahid Aimen Ali , Sukoharsono Eko Ganis , Hadiwidjojo Djumillah , anu Arm
Published: December 2021

This research aims to analyze the impact of corporate financial performance on the market value moderated by good corporate governance and sustainability development in Great Britain companies listed in London stock exchange. This research tests the causal relationships among variables including corporate financial performance; market value moderated by good corporate governance and sustainable development in UK companies listed in London stock exchange. Findings of this research are (1) Profit is reflection of the success in implementing the activities and operations of the company. (2) The result presented the current practice of good corporate governance in London stock exchange, showed that most of the companies concerning the implementation of good corporate governance principles, which include: rights of shareholders, equitable treatment of shareholders, role of stakeholders in corporate governance. Originality of this research is the Impact of CFP on firm market value has been documented in literature. Ideally, CFP on market value should be correlated, but studies on CFP and market value have yielded mixed results positive, negative and neutral impact. This research can benefit to the companies with their existing policy modifications as per requirements in the present of United Kingdom financial environment.
Speech Scrambling based on Particle Swarm Optimisation
Authors: Razaq Zeina Hassan
Published: December 2021

Securing any communication system where important data may be transmitted through the channel is a very crucial issue. One of the good solutions in providing security for the speech is to use speech scrambling techniques. The chaotic system used in security has properties that make it a good choice for scrambling speech signal and the optimisation algorithm can provide a perfect performance when used to enhance the hybrid of more than one method. In this paper, we suggest a system that uses an optimisation method, namely, particle swarm optimisation. The evaluation measures prove that the output of the optimisation method has better performance among the methods used in the comparison, including chaotic maps and hybrid chaotic maps.
Catfish Oil (Pangasius hypophthalmus) effect to ferritin and sTfR in iron deficiency anemia
Authors: Sulistyaningrum Hersanti , Swastawati Fronthea , Mexitalia Maria , Noer Etika Ratna
Published: December 2021

Background: Iron deficiency anemia is a micronutrient problem and the prevalence is still high. Catfish oil (Pangasius hypophthalmus) is a natural source of heme iron which can improve body iron levels.Objectives: This study was aimed to examine and analyze the effect of catfish oil on ferritin and sTfR levels in male wistar rats with iron deficiency anemia models.Materials and Methods: This study was conducted on male wistar rats which were divided into groups C- (standard feed), C+ (standard feed but had the iron removed), X1 (standard feed without iron but was supplemented with catfish oil), X2 (standard feed without iron but was supplemented with ferrous sulfate) for 14 days. Ferritin and sTfR levels were measured before and after intervention using ELISA.Results: The study showed an increase ferritin levels in X1 (21.87 ng/ml ±0.76), X2 (24.47 ng/ml ±0.54) and there was no significant difference between the two (p=0.069; p>0.05); a decrease in C- (0.25 ng/ml ±0.43), C+ (0.32 ng/ml ±0.059) (p=0.00; p<0.05). The sTfR levels decreased before and after intervention (p=0.00; p<0.05) in C+ (0.24 μ/mL ±0.99), X1 (60.66 μ/mL ±0.29), X2 (62.10 μ/mL ±0.90) and increased in C- (0.40 μ/mL ±0.97).Conclusions: The study indicates ferritin levels increased in the rats receiving catfish oil is not different from the rats that received ferrous sulfate and sTfR levels decreased significantly in wistar rats with iron deficiency anemia receiving catfish oil although the results were not as good as ferrous sulfate supplementation
Expression of IRT1 gene in barley seedlings under zinc deficiency at optimal and low temperatures
Authors: KAZNINA Natalia , REPKINA Natalia , BATOVA Yulia , TITOV Alexandr
Published: December 2021

The deficiency or excess of zinc (Zn) cause negative effect on plant metabolism and development. Therefore, plants have established a tightly controlled system, including protein transporters to balance the uptake and utilization of metal ions. In this study, the relative expression of HvIRT1 gene, encoding the transmembrane protein IRT1 was analyzed in shoots and roots of barley (Hordeum vulgare ‘Nur’) under zinc deficiency at optimal (22 °C) or low (4 °C) temperatures. The Zn deficiency (0 μmol) caused an increase in HvIRT1 gene expression under both optimal temperature condition and cold. Although, the difference in mRNA content of HvIRT1 gene in roots of barley under optimal and low temperature was not observe. However, the HvIRT1 expression in leaves was higher at optimal temperature compare with cold condition. Moreover, long-term (7 days) of low temperature influence along with zinc deficiency leads to a significant decrease in the amount of HvIRT1transcripts in leaves, that corresponds to a decrease of photosynthesis rate and biomass accumulation. Overall, these findings suggest that HvIRT1 gene play an important role in plant’s response to zinc deficiency under optimal temperatures condition as well as at cold.
Evaluation of biochemical treatments applied in polluted soils irrigated with low quality water for long periods of time through the CO2 efflux
Authors: SABER Mohamed , ZAGHLOUL Alaa M
Published: December 2021

To sightsee the bearings of the certain remediation amendments, usually applied in the bioremediation of soils irrigated with low quality water for extended periods on the indigenous microbial population, a greenhouse experiment was conducted at National Research Centre (NRC) where the soil ecosystem was supplied with varied mineral remediation amendments and the carbon dioxide (CO2) refluxes were followed up. In this study, microbial activity through CO2 efflux was taken as an indicator to evaluate the effectiveness of eight soil amendments in minimizing the hazards of inorganic pollutants in soil ecosystem irrigated with low quality water s for more than 40 years. Results showed that Ni and Zn were the most dominant contaminants that adversely influenced indigenous microbial activities in untreated soil, while Cu was the most persuasive. All trailed remediation amendments significantly minimized the hazards of inorganic pollutants in treated soil ecosystems. In addition, modified bentonite (Probentonite) was the best persuasive one. Mechanisms take place between trailed remediation amendments and inorganic pollutants in the studied soil ecosystems were discussed. In conclusion application of certain raw or modified clay minerals especially Probentonite could be a good tool in decreasing the rate of the studied inorganic pollutants in a contaminated soil ecosystem irrigated with low quality water for extended periods.
Introduction of the best criterion for evaluation of tolerance to drought stress in sorghum’s genotypes
Authors: NAZARI Leyla , DEHGHANIAN Ebrahim , ESTAKHR Afshar , KHAZAEI Azim , SORKHILALEHLOO Behzad , ABBASI Mohammad Reza
Published: December 2021

Sorghum (Sorghum bicolor (L.) Moench) is the fifth important cereal considered a drought-tolerant crop. However, its reduction of grain yield considerably occurs in a shortage of water. In the current study, 10 sorghum genotypes were assessed for their grain yield under normal irrigation and water deficit irrigation. As well, the efficacy of several drought indices was evaluated for the selection of high-yield and drought-tolerant genotypes. The experiment was conducted as a split-plot considering three irrigation levels as main-plot and 10 genotypes as sub-plot. Correlation among the indices, clustering of the genotypes along with principal component analysis was employed. Yield production was significantly and positively correlated with indices MP (mean productivity), STI (stress tolerance index), GMP (geometric productivity), HM (harmonic mean), and YI (yield index) in all the irrigation levels. Therefore, these indices are more effective in the selection of high-yielding genotypes under different water conditions. Rank means of stress indices for each genotype revealed that genotype TN-04-79 in mild deficit irrigation and genotypes KGS23 and TN-04-79 in severe deficit irrigation were the most tolerant.
Classification of determinant factors of irrigated vegetable problems using exploratory factor analysis in Swaida governorate, Syria
Authors: AL-ABDALA Maya , SALLOWM Afraa , ABOUASSAF Safwan
Published: December 2021

The objective of this research was to classify the determinant factors of irrigated vegetable problems and the amount of variance that is explained by each factor in Swaida Governorate/ Syria by using the Exploratory Factor Analysis. The research is based on the data which were collected through questionnaires that were obtained according to the opinions of farmers. It included questions about some of the social and economic characteristics of farmers, and the concerning problems related to irrigated agriculture by using multiple-choice questions (on a 3-point scale) during the 2019-2020 Based on a sample size of 92 farmers, representing 54.9 % of the studied statistical community, and distributed randomly within the areas of spread of irrigated vegetable cultivation.. The results showed the success of using the exploratory factor analysis technique, using the Principal components methodology and Varimax in classifying six factors with an initial eigenvalues greater than one for each, and these factors are: agricultural technological progress, agricultural employment, sale outlets, natural conditions, prices, production requirements. These factors explained (13.21 %, 12.65 %, 12.55 %, 11.12 %, 10.94 %, and 9.85 %) of the total variance respectively, and together explained 70.33 %.
Influence of plant growth regulators and salicylic acid on the production of some secondary metabolites in callus and cell suspension culture of Satureja sahendica Bornm.
Authors: TARIGHOLIZADEH Sarieh , MOTAFAKKERAZAD Rouhollah , KOSARI-NASAB Morteza , MOVAFEGHI Ali , MOHAMMADI Sakineh , SABZI Mohsen , TALEBPOUR Amir-Hossein
Published: December 2021

The impact of combinations of plant growth regulators (PGRs) on callus culture of Satureja sahendica Bornm. was investigated. In nodal explants, the response of secondary metabolite production to different concentrations of PGRs was analyzed regarding the presence and absence of polyvinylpyrrolidone (PVP). The explants were cultured on MS media in presence of auxins (2,4-dichlorophenoxyacetic acid and naphthylacetic acid) and cytokinins (thidiazuron and kinetin); which were used in equal concentrations of 0.5, 1, and 2 mg l-1. The treatment of 2 mg l-1 2,4-D + 2 mg l-1 Kin (MD3) led to the highest production of total phenolics (4.303 ± 0.449 mg GAE g-1) and flavonoids (24.903 ± 7.016 mg QE g-1). Moreover, the effect of salicylic acid (SA) on the production of secondary metabolites in cell suspension culture of Satureja sahendica was evaluated. The cell suspension culture was established by culturing the nodal-derived friable callus in the liquid medium containing different concentrations of SA (0, 100, 150, 200 µM). An inverse relationship exists between the fresh mass and secondary metabolites contents. In addition, there was a significant difference among concentrations of SA in the production of total phenolics and flavonoid compounds. SA enhances secondary metabolites production and decreases cell fresh mass.
Implementation of Human Rights and the Mandatory Precedents in Foreign Trade, Legal Effectiveness: Mexico Case
Authors: Ramirez Laura Hernandez
Published: December 2021

We make an analysis of the implementation of human rights and the mandatory precedent in matters of Mexican foreign trade, in an administrative and judicial context in the search for legal effectiveness with constitutional control, highlighting the implementation of human rights contained in treaties commercial, such as access to justice and prompt and expeditious;

We point out a recent case of human rights and foreign trade, with the implementation in the Mexican legal system, of the Free Trade Agreement Mexico United States Canada, before the Supreme Court of Justice of the Nation, as well as a possible proposal before the provisions of its Article 14.D.5, regarding the right of access to prompt and expeditious justice in investment matters, and avoiding the resolution of controversies before international arbitration panels that have been questioned.
Two Mulan Films - Same Source, but Different Story: Comparisons on Camera Shot and Colour Styles
Authors: Hong Sogu , Hong Ejun
Published: December 2021

“Lady General Hua Mulan” and Disney “Mulan” are created from the same source “Ballad of Mulan”, which is the oldest known version of Mulan’s story. Nevertheless, these two works differ in many ways, such as the characters, Mulan's personality, narrative structure, theme, etc. These differences also affect the mise-en-scène of the work, resulting in a different use of camera techniques and colours. In the process of developing the narrative structure, the director uses various camera techniques and colours to effectively convey specific messages and emotions to the audience. This work examines what the artist intends to present to the audience while changing the distance, angle, or the relationship between the camera and the object, which are the basic elements of the objective point-of-view shot. Regarding the study of colour, this study focuses on the influence of the differences in the narrative structure of the two films on the choice of colour. Also, this study explains how the director uses colour to effectively convey the main message of the narrative.
Valorization of waste bark for biorefineries: chemical characterization of Eucalyptus camaldulensis inner and outer barks
Authors: Benouadah Nacera , Pranovich Andrey , Labidi Jalel , Willför Stefan
Published: December 2021

Bark wastes today are viewed as a high-value resource for biorefinery due to their chemical richness and diversity. This work presents a comprehensive chemical characterization of the inner bark and the outer bark of Eucalyptus camaldulensis cultivated in Algeria. The extractives were first isolated with an Accelerated Solvent Extractor (ASE) and then analyzed by Gas Chromatography-Mass Spectrometry (GC-MS). The content of pre-extracted bark in cellulosic polysaccharide and free sugar monomers was determined by Gas Chromatography (GC). The hemicellulose composition and amount was determined after the acid methanolysis and GC. The amount of lignin was determined gravimetrically by the Klason lignin method and the acid soluble lignin was determined by the UV method. Formic and acetic acids in the bark were determined by HPLC after alkaline hydrolysis. It was found that the extractives content were similar in the outer bark (0.85%) and the inner bark (0.88%). The cellulose content was higher in the outer bark (33.4%) than in the inner bark (28.7%). Lignin and the total hemicellulose contents were more abundant in the outer bark (31.7, 26.2%) than in the inner bark (28.6, 19.3%) whereas, sugar monomers were more abundant in the inner bark (4.4%) than in the outer bark (3.8%). The variation in acetic and formic acids and ash contents between the outer bark (1.5, 0.006 and 2.5%) and the inner bark (1.3, 0.005 and 2.4%) was small. The obtained results showed that the bark can be considered a suitable feedstock for lignocellulosic biorefinery and also for the extraction of bioactive compounds that can be used in different sectors.
Proximate analysis, HPTLC finger print analysis and multi spectrometric analysis of Strychnos nux-vomica nuts
Authors: Ramachandran Shakila , Meenatchisundaram Saravanan , Allu Rajesh , Thatipelli Sujith , Mandal Achintya Kumar
Published: December 2021

Objectives

In alternative medicine, plants pay a major role. Some plants are known for their poisonous nature but still have some importance in the herbal drug industry for their medicinal value. Strychnos nux-vomica is one such plant. Its nuts are called as poison nut due to the presence of alkaloids. Both the nut and its minerals are having medicinal properties and hence the present study was indented to understand the nature of primary metabolites and multi elemental composition.

Methods

The nuts of S. nux-vomica were procured, authenticated, powdered and subjected to proximate analysis parameters, visualization of thin layer chromatographic separation (TLC) and finger print profiling through high performance thin layer chromatographic (HPTLC); surface morphology by scanning electron microscopy, energy dispersive X-ray analysis, X-ray fluorescence spectrometry, X-ray photoelectron spectrometry, powder X-ray diffractometry and inductively coupled plasma optical emission spectrometry.

Results

In HPTLC, 7 spots each under 254 nm, 366 nm, derivatization with vanillin sulphuric acid (VSR) reagent appeared and 2 spots with Dragendorff’s reagent. In HPTLC, 12 peaks at 254 nm, 9 peaks at 366 nm, 7 peaks at 520 nm after derivatization with VSR reagent detected. Elements such as potassium, calcium, magnesium, chlorine, aluminium, iron, manganese, sodium, nickel, phosphorus, copper, zinc, sulphur and silicon were identified. PXRD revealed that the presence of potassium chloride, calcite and dolomite as major elemental composition.

Conclusions

The presence of all the above elements has vital roles on human physiology. Potassium, calcium, chlorine, aluminium, nickel, phosphorus, sulphur and silicon are reported for the first time in this study.
The prevalence of incidental finding of gynecomastia on thoracic computed tomography in the pediatric age group
Authors: Ilgar Mehtap , Ünlü Serkan
Published: December 2021

Objectives

This study aimed to determine the prevalence rate of gynecomastia, determine mean glandular breast tissue sizes, and evaluate whether there is any difference in the prevalence rate of gynecomastia according to age using three different reference values of glandular breast tissue size (≥5, ≥10, ≥20 mm) in the pediatric age group.

Methods

Glandular breast tissue sizes were measured retrospectively from thoracic computed tomography (CT) images taken for other reasons in 961 boys aged 1–18 years.

Results

When each breast was evaluated separately (1,922 breasts), gynecomastia was observed in 1,001 (52.1%), 719 (37.4%), and 216 (11.2%) breasts with ≥5, ≥10, and ≥20 mm considered as reference values, respectively. A significant difference was found in terms of gynecomastia (p<0.001) and mean glandular breast tissue size (p<0.001) with respect to age.

Conclusions

New studies are currently needed to determine the glandular breast tissue size and the prevalence rate of gynecomastia in boys, and thoracic CT images can be used for this purpose.
Learning by Ignoring the Most Wrong
Authors: Bradley Seamus
Published: December 2021

Imprecise probabilities (IP) are an increasingly popular way of reasoning about rational credence. However they are subject to an apparent failure to display convincing inductive learning. This paper demonstrates that a small modification to the update rule for IP allows us to overcome this problem, albeit at the cost of satisfying only a weaker concept of coherence.
How fishing cats Prionailurus viverrinus Bennett, 1833 fish: describing a felid’s strategy to hunt aquatic prey
Authors: Ganguly Divyajyoti , Adhya Tiasa
Published: December 2021

The fishing cat’s persistence in a ‘semi-aquatic niche’ suggests the evolution of a successful hunting strategy. We describe it for the first time by analysing 197 camera-trap video-clips, collected from a participatory-science initiative, within an ethogram framework. The cats spent ∼52% of the time sitting and waiting for prey (fishes) to come nearer and took limited attempts to hunt (3.89%) in deeper waters (in which the upper portions of the cat’s body were submerged), where its hunting success was found to be 42.86%. In shallow waters, it adopted a predominantly active mode of hunting (∼96%) to flush out prey.
The Trinity of the Processes of Formation of the New World Order
Authors:   Institute of Europe, Russian Academy of Sciences, Iokhin Viktor
Published: December 2021

Knowledge of the directions of reformating the modern unstable world order allows Russia to determine its role which it can play in this process and its new format. Therefore, the purpose of our research is to identify the main trends in the development of political, ideological, civilizational, geopolitical processes that affect the formation of a new configuration of the world in connection with the transformations dictated by the change of the technological order. For such a study, the method of complex analysis of these processes and the method of comparisons were used in relation to a new model of human existence, which is formed under the influence of the transition to a new technological order. As a result, the author comes to the conclusion that all these processes, both individually and in combination, inevitably lead to the revival of the model of the bipolar world, but in its modified form. However, what is happening with the change of the technological way of life pushes these problems into the background, while the dilemma – to be or not to be for humanity as a species ‒ comes to the forefront with threatening force. It is between these "to be" or "not to be" the main watershed will take place between East and West in their confrontation passes.
The Shaping of Environmental Identity in Germany and Italy: Actors and Practices
Authors:   Primakov National Research Institute of World Economy and International Relations, Russian Academy of Sciences, Khaynatskaya Tatyana
Published: December 2021

One of the important components of environmental policy in recent years is the formation of environmental identity. This article analyzes the German and Italian practices of ecological identity formation, identifies the actors of such a policy, and evaluates the prospects of ecological identity formation in the European Union. Based on case studies and in-depth interviews, the author describes the experience of implementing the Zero Waste concept in the Italian municipality of Capannori and the coastal German city of Kiel. The conclusion that the success of measures to form an environmental identity is influenced by the nature of political culture, the level of economic development, regional development features, but also by targeted environmental education initiatives and the success of grassroots practices in the environmental sphere, is substantiated. As the research has shown, in promoting eco-practices at the local level in Italy the leadership factor plays a large role, including in the framework of protest eco-activism, in Germany ‒ the self-organization of local communities in cooperation with the city authorities. The politicization of environmental identity contributes to the consolidation of citizens around environmental priorities. However, factors such as generation gaps and uneven regional development, as well as the rise of populism, can contribute to deepening divisions and confrontations around the environmental agenda.
Strategi Pengisian Baterai pada Sistem Panel Surya Standalone Berbasis Kontrol PI Multi-Loop
Authors: Hidayat Khusnul , Hasani Mohammad Chasrun , Mardiyah Nur Alif , Effendy Machmud
Published: December 2021

This study discusses the power control strategy in a standalone photovoltaic-battery hybrid system. The life-time of the battery will be shorter if the battery is often charged with high current and exceeds its State-of-Charge (SoC). Therefore, a control method is needed to control the power flow on the DC bus and the charging current as well as the SoC of the battery so that the battery has a long life-time. The proposed system uses two dc-dc converters to connect photovoltaic (PV) and lead-acid batteries to the load. The unidirectional DC-DC converter is used as the interface between the PV and the DC bus, the bidirectional DC-DC converter is used as the interface between the battery and the DC bus. The control strategy plays a role in controlling the power flow between the converter and the load to maintain the balance of power in the system and controlling the battery to support PV when the available PV power is not enough to meet the load. The multi-loop control strategy is proposed in this study, one of the loops is used to maintain the SoC of the battery in order to control the PV output power to avoid over-charging. Another loop is used to ensure the balance of the system's power when the battery is charging at its maximum charge current. The proposed control system is implemented without requiring any conditions for the control to operate. The simulation results show that the proposed multi-loop control can control the power flow in the system while maintaining the maximum charging current and battery SoC limits.
Optimized Hybrid DCT-SVD Computation over Extremely Large Images
Authors: Setiawan Iwan , Basuki Akbari Indra , Rosiyadi Didi
Published: December 2021

High performance computing (HPC) is required for image processing especially for picture element (pixel) with huge size. To avoid dependence to HPC equipment which is very expensive to be provided, the soft approach has been performed in this work. Actually, both hard and soft methods offer similar goal which are to reach time computation as short as possible. The discrete cosine transformation (DCT) and singular values decomposition (SVD) are conventionally performed to original image by consider it as a single matrix. This will result in computational burden for images with huge pixel. To overcome this problem, the second order matrix has been performed as block matrix to be applied on the original image which delivers the DCT-SVD hybrid formula. Hybrid here means the only required parameter shown in formula is intensity of the original pixel as the DCT and SVD formula has been merged in derivation. Result shows that when using Lena as original image, time computation of the singular values using the hybrid formula is almost two seconds faster than the conventional. Instead of pushing hard to provide the equipment, it is possible to overcome computational problem due to the size simply by using the proposed formula.
Design and Implementation of Z-Source Inverter by Simple Boost Control Technique for Laboratory Scale Micro-Hydro Power Plant Application
Authors: Ariefianto Rizki Mendung , Aprilianto Rizky Ajie , Suryoatmojo Heri , Suwito Suwito
Published: December 2021

In a power plant such as micro-hydropower (MHP), an induction generator (IG) is usually employed to produce electrical power. Therefore, an inverter is needed to deliver it with high efficiency. Z-source inverter (ZSI) has been introduced as a topology with many advantages over conventional inverters. This research aims to investigate the performance of ZSI based simple boost control (SBC) in laboratory-scale MHP systems using a rewinding induction generator. This research has been conducted both from simulations and experiments. Based on the result, the waveform characteristic and value of ZSI are close to the desired design. A shoot-through duty ratio of 17% can reach 60 Vrms output voltage, and this condition has a conversion ratio of about 2.05 times. Also, SBC can significantly reduce the Total Harmonic Distortion (THD). ZSI efficiency has a value of 84.78% at 50% of rating load 100 W and an average value of 80%. Compared to the previous study, the proposed design has more economical with the same component for the higher rating power. Moreover, it has a smoother and entire output waveform of the voltage.
Penerapan Seamless Tucks pada Busana Pesta dengan Tema The Gray Hole
Authors: Indarti Indarti , Putri Aprilia Anggi Wati
Published: December 2021

Tujuan penelitian adalah untuk mengetahui proses pembuatan dan hasil jadi semless tucks pada busana pesta wanita dan pria dengan tema the gray hole. Metode yang digunakan adalah three stage design process (LaBat & Sokolowski, 1999), yang terdiri dari 3 tahapan yaitu problem definition & research, creative exploration, dan implementation. Dari hasil yang diperoleh, seamless tucks bisa digunakan sebagai detail busana pesta baik untuk wanita maupun pria. Hasil jadi pada busana wanita sesuai dengan konsep perancangan antara lain menggunakan siluet H, penerapan seamless tucks berbentuk lingkaran menyerupai lubang pori-pori pada batu apung diterapkan pada keseluruhan permukaan cape dan menjadi center of interest dari keseluruhan look pada gaun pesta. Hasil jadi pada busana pria sesuai dengan konsep perancangan yaitu menggunakan siluet busana formal yang klasik berupa setelan jas (suit). Penerapan seamless tucks berbentuk lingkaran diterapkan pada kelepak kerah (peak lapel) dan kelepak saku. Hasil jadi busana secara keseluruhan telah memenuhi beberapa kriteria prinsip desain.