bluuebunny/crossref_metadata_2025 huggingface dataset:
МОНІТОРИНГ ЗАБРУДНЮВАЧІВ ХІМІЧНОГО ТА РАДІОЛОГІЧНОГО ПОХОДЖЕННЯ У КОРМАХ ДЛЯ ПРОДУКТИВНИХ ТА НЕПРОДУКТИВНИХ ТВАРИН ЗА 2021 РІК В УКРАЇНІ
Authors: Чечет О. М. , Шуляк С. В. , Кобиш А. І. , Малімон З. В. , Омельчун Ю. А.
Published: March 2023

Нині екосистема є джерелом небезпечних факторів хімічного та радіологічного походження внаслідок активного розвитку промисловості, урбанізації, неконтрольованого застосування пестицидів, речовин хімічного захисту. Крім того наслідки катастрофи на Чорнобильській АЕС до теперішнього часу спричиняють радіаційне забруднення значної частини території України. Це, в свою чергу, призводить до накопичення токсикантів, радіонуклідів у кормах, надходження яких до організму тварин та харчових продуктів тваринного походження, становить загрозу для здоров’я людини. У зв’язку з цим актуальним є контроль та моніторинг за вмістом пестицидів, важких металів, мікотоксинів, радіонуклідів та інших токсикантів у кормах. Державний моніторинг кормів в Україні здійснюється на засадах оцінки ризику з метою контролю за дотриманням вимог чинного законодавства щодо безпечності та оцінки придатності продукту, а також задля недопущення обігу небезпечних кормів. Згідно Плану державного моніторингу на 2021 р. Державним науково-дослідним інститутом з лабораторної діагностики та ветеринарно-санітарної експертизи проведено лабораторний аналіз показників безпечності кормів для продуктивних та непродуктивних тварин із різних областей України. За результатами моніторингових досліджень одержано інформацію про рівень контамінації кормів пестицидами, мікотоксинами, важкими металами та радіонуклідами. Була встановлена невідповідність деяких зразків кормів вимогам безпеки в контексті наявності мікотоксинів. З огляду на це актуальними є заходи, спрямовані на мінімізацію ризиків для здоров’я тварин і людини, пов’язаних як з кормами безпосередньо, так і з навколишнім середовищем, забезпечення виробництва якісної продукції та попередження надходження до організму людини токсичних речовин у кількостях, що перевищують гігієнічні норми та становлять загрозу для здоров’я.
СТАФІЛОКОКОЗИ СОБАК: КЛАСИФІКАЦІЯ ТА ОСНОВНІ ВЛАСТИВОСТІ ЗБУДНИКІВ
Authors: Гарагуля Г. І. , Северин Р. В. , Баско С. О. , Мурзакова Г. Ф. , Фільштінська-Лялько В. Л.
Published: March 2023

Огляд присвячено характеристиці збудників стафілококової інфекції як однієї з найпоширеніших інфекційних патологій собак. Серед властивостей збудників найбільшу увагу приділено таким характеристикам: класифікації бактерій роду Staphylococcus, опису їх основних морфологічних властивостей, факторів їх патогенності та антибіотикорезистентності. Розглянуто основні напрями досліджень зарубіжних та вітчизняних вчених щодо ролі стафілококів в патології собак та поширення стафілококозів. Важливим є поява нових видів бактерій роду Staphylococcus, які були виділені при вивченні цієї патології. Особливу увагу автори приділяють питанню стійкості стафілококів до антибіотиків та ролі резистентності бактерій під час діагностики та вибору методів терапії.
POSITIVE WELFARE INDICATORS IN DAIRY ANIMALS
Authors: Petkun H. , Martyniuk O. , Nedosekov V.
Published: March 2023

The concept of "positive welfare" arose in response to the heavy focus on negative aspects when assessing the overall welfare of animals. Although one of the main components of welfare is the emotional status. The aim of this paper is to study and describe the existing, promising, reliable and feasible indicators of the positive welfare of dairy cows on farms. We conducted a search and critical analysis of scientific literature, articles, books and welfare assessment protocols in international databases (Web of Science, PubMed and ResearchGate) using the key words "positive «welfare», «indicator», «comfort», «relationship between human and animal», «emotions», «natural behaviour», «pleasure» combined with «cattle» and «cow». For structure, all indicators were divided into 4 groups: feeding, environment, behaviour and position of animal body parts. A number of the most relevant and feasible indicators for assessing positive welfare in dairy cows were identified, namely: access to pasture, lying comfort, synchronization and qualitative behaviour assessment (QBA). Studies of the positions of the ears, tail and vocalization in dairy animals are promising for the further development of tests. Also an important indicator is the level of relations between a human and animal, as this indicator has a significant impact on the animal welfare. We consider it relevant to conduct a practical study of these parameters directly on the farm with subsequent inclusion in the protocol for assessing the welfare of the dairy herd. We believe that this review will create a platform for research and discussion about the positive welfare of cows in Ukraine.
Numerical Study of Sedimentation and Flow Pattern at the Open Channel Intake
Authors: Al-Zubaidy Rana , Hilo Ali N.
Published: March 2023

Generally, open channel lateral intake structures are extensively used in the water and environmental projects. The passing flow at side intakes is mostly turbulence containing vertical and horizontal spiral currents causing sediment problems. The flow separation region in the intake channel is critical for sediment and water distribution during the diversion. It denotes a large reduction in the possible breadth of the lateral branch's incoming flow, as well as a place where sediment has collected, obstructing the deviated flow.
This study aims to reduce and control sediment problems at the lateral intake by improving the flow pattern at this area using three-dimensional numerical models simulated in CFD, ANSYS Fluent software. The correctness of the three-dimensional numerical model was validated by a previous experimental study that showed good accuracy. Different discharge ratios and a range of shape designs were used to simulate the flow pattern at the intake channel junction. The findings demonstrated that the separation zone measurements minimize as the discharge ratio increases. Based on the changing the intake entrance shape results, cutting the outer boundary of the canal entrance widens the separation area, as well as an additional separation spot as the cutting size grows. In contrast with the internal chamfered angle models of the intake inlet, the separation area dimensions are reduced. The chamfered and rounded inner intake edge model with 30o angle to the main channel flow direction and the length of the chamfered side that normal to the flow direction (c value ) equal to three-quarters of the intake width was noticed to be the best design for lessening separation extent in this study. Thereby, the reduction ratio of the separation area width and length reaches in this case to 90% and 72%, respectively.
novel approach for predicting the standardised precipitation index considering climatic factors
Authors: Alawsi Mustafa A. , Zubaidi Salah L. , Al-badranee Laith B.
Published: March 2023

Drought modelling is essential to managing water resources in arid regions to limit its impacts. Additionally, climate change has a significant effect on the frequency and intensity of drought. This research provides a novel approach to forecasting the standardised precipitation index (SPI 3), considering several climatic variables by employing hybrid methods including (i.e., data pre-processing represented by normalisation, cleaning (i.e., outliers and Singular Spectrum Analysis), and best model input (i.e., tolerance technique), in addition to, artificial neural network (ANN) combined with particle swarm optimisation (PSO)). The data on climatic factors were applied to build and evaluate the SPI 3 model from 1990 to 2020 for the Al-Kut region. The result revealed that data pre-processing techniques enhance the data quality by increasing the correlation coefficient between independent and dependent variables; and choosing the optimal input model scenario. Also, it was found that the PSO algorithm precisely predicts the parameters of the proposed model. Moreover, the finding confirmed that the supposed methodology precisely simulated the SPI 3 depending on several statistical criteria (i.e., R², RMSE, MAE).
Molecular Algebraic Geometry: Electronic Structure of H3+ as Algebraic Variety
Authors: Kikuchi Ichio , Kikuchi Akihito
Published: March 2023

In this article, we demonstrate the restricted Hartree-Fock electronic structure computation of the molecule H3+ through computational algebra. We approximate the Hartree-Fock total energy by a polynomial composed of LCAO coefficients and atomic distances so that the minimum is determined by a set of polynomial equations. We get the roots of this set of equations through the techniques of computational algebraic geometry, namely, the Groebner basis and primary ideal decomposition. This treatment enables us to describe the electronic structures as algebraic varieties in terms of polynomials.
Fuzzy Control for a Two-DOF Manipulator System
Authors: Vishwanath Manish
Published: March 2023

: Robot manipulators have become increasingly important in the field of automation. So modelling and control of robotsin automation will be very important. This paper presents a study of robust control approach employing fuzzy logic control techniquefor two degree of freedom (2-DOF) manipulator robot. A learning control system is designed so that its “learning mechanism” has theability to improve the performance of the closed-loop system by generating command inputs to the plant and utilizing feedbackinformation from the plant. It is well known that robotic manipulators are highly nonlinear coupling dynamic systems. A fuzzy logicrule base is designed, using the knowledge obtained from the operator. Simulation is performed to demonstrate the effectiveness ofcontrol strategy. Furthermore, the parameters of the controllers were optimized using MATLAB and simulations' result reveals thatcontrol scheme is working satisfactorily.
The effects of a 4-week mesocycle of strength training with a barbell back squat or barbell hip thrust on isolated lumbar extension strength
Authors: Vishwanath Manish
Published: March 2023

Common exercises such as the barbell back squat (BBS) and barbell hip thrust (BHT) are33 perceived to provide a training stimulus to the lumbar extensors. However, to date there have been no34 Empirical studies considering changes in lumbar extension strength as a result of BBS or BHT resistance35 training interventions. Purpose: To consider the effects of barbell back squat (BBS) and barbell hip thrust36 (BHT) resistance training programs upon isolated lumbar extension (ILEX) strength. Methods: Trained37 male subjects (n=14; 22.07 ± 0.62 years; 179.31 ± 6.96 cm; 79.77 ± 13.81 kg) were randomized in to38 either BBS (n=7) or BHT (n=7) groups and performed 2 training sessions per week during a 4-week period.39 mesocycle using 80% of their 1RM. All subjects were tested pre- and post-intervention for BBS and BHT40 1RM as well as isometric ILEX strength. Results: Analyzes revealed that both BBS and BHT groups41 significantly improved both their BBS and BHT 1RM, suggesting a degree of transferability. However, the42 The BBS group improved their BBS 1RM to a greater degree than the BHT group ( p =0.050; ~11.8kg/10.2%vs.43 ~8.6kg/7.7%, respectively). And the BHT group improved their BHT 1RM to a greater degree than the44 BBS group ( p =0.034; ~27.5kg/24.8% vs. ~20.3kg/13.3%, respectively). Neither BBS nor BHT groups45 significantly improved their isometric ILEX strength. Conclusions: The present study supports the46 Concept of specificity, particularly in relation to the movement mechanics between trunk extension47 (including pelvic rotation) and ILEX. Our data suggests that strength coaches personal trainers, and48 Trainees can self-select multi-joint lower body trunk extension exercises based on preference or variety.49 However, evidence suggests that neither the BBS nor BHT exercises can meaningfully increase isolation50 lumbar extension strength. Since strengthening these muscles might enhance physical and sporting51 performance we encourage strength coaches and personal trainers to prescribe ILEX exercise.53 Key words: 1-repetition maximum, isometric, torque, specificity
ASUHAN KEPERAWATAN PENTINGNYA PRINSIP - PRINSIP DALAM PENDOKUMENTASIAN
Authors: Vishwanath Manish
Published: March 2023

Nursing knowledge and skills in documenting the nursing process are very nursing and skills and skills indocumenting the nursing process are very skills in nursing and skills for purpuras standarddocumentation. High motivation high in nursing documentation good capable nursing documentation.Objective: The goal of public health nursing practice is community independence in optimal public healthnursing. Methode: Quantitative method with planar cross sectional this meduku to find out the burdenbetween the independent variable (workload) and the dependent variable (implementation of patientsafety). . Result: Performance of the implementation of patient safety is the result of the work of anindividual or an individual in the implementation of patient safety that has been designed by the hospitalto make patient care safer, which includes risk assessment, identification, and management of issuesrelated to patient risk, reporting, and incident analysis, learning abilities. of the incident and its follow-upand implementation. Keywords: the importance of principles, documentation, nursing care.
ZAT GIZI MAKRO (KARBOHIDRAT, PROTEIN, LEMAK)
Authors: ihwan Nur
Published: March 2023

Zat gizi makro (karbohidrat,protein,lemak)
MOTIVATION AND IMPLEMENTATION OF THE ASSESSMENT PROCESS AS THE INITIAL STEP OF THE NURSING PROCESS
Authors: Vishwanath Manish
Published: March 2023

Proses keperawatan merupakan bagian dari activitiya praktik keperawatan yang dokanasecara sistematis. Pengkajian is the initial or basic idea of the care process, the care processaims to collect information and data about the patient, identify, recognize the problem, the needsof the patient and the care that will be given both physically, mentally, socially, andenvironmentally. The purpose of this research is to know how to apply and implement themaintenance process in the hospital as the initial stage of the maintenance process. The methodused in research to obtain information and data is the method of reading journals, books, and Ebooks.
Legal Support of Cybersecurity in the Field of Application of Artificial Intelligence Technology & Analysis for Cybersecurity Solutions in Industry 4.0 Platforms
Authors: Vishwanath Manish
Published: March 2023

In the modern world, providing cybersecurity has become one of the key tasks of themodern state. This task is included in the general security system of any state. Normative legalacts have appeared recently, which are based on technical regulations and standards. Suchregulatory acts include laws and strategic acts about cyber security, cyber threats and counteringthe use of information weapons. The need to adopt legal acts regulating cybersecurity in all aspects,including the application of artificial intelligence methods, is justified by the rapidly growingnumber of challenges and threats in the information sphere. Increasing technology and the use ofthe Internet have brought the Industry 4.0 revolution. Internet of Things, smart devices, smartobjects, information, and data are in many systems in an era of developing the technology. Themain components of the industry 4.0 such as cyber-physical system, the Internet of objects, bigdata and cloud computing has some of the challenges. One of these is cybersecurity. In this study,the structure of the technologies in industry 4.0 and cybersecurity requirement analyzes of thesetechnologies were discussed.
A Comprehensive Review of Data Mining and Machine Learning Techniques for Predicting Heart Disease
Authors: Vishwanath Manish
Published: March 2023

: Heart disease is one of the major causes of life complicacies and subsequently leading to death. The heart diseasediagnosis and treatment are very complex, especially in the developing countries, due to the rare availability of efficient diagnostictools and shortage of medical professionals and other resources which affect proper prediction and treatment of patients. Inadequatepreventive measures, lack of experienced or unskilled medical professionals in the field are the leading contributing factors.Although, large proportion of heart diseases is preventable but they continue to rise mainly because preventive measures areinadequate. In today’s digital world, several clinical decision support systems on heart disease prediction have been developed bydifferent scholars to simplify and ensure efficient diagnosis. This paper investigates the state of the art of various clinical decisionsupport systems for heart disease prediction, proposed by various researchers using data mining and machine learning techniques.Classification algorithms such as the Naïve Bayes (NB), Decision Tree (DT), and Artificial Neural Network (ANN) have been widelyemployed to predict heart diseases, where various accuracies were obtained. Hence, only a marginal success is achieved in thecreation of such predictive models for heart disease patients therefore, there is need for more complex models that incorporatemultiple geographically diverse data sources to increase the accuracy of predicting the early onset of the disease.
Tinjauan pustaka gizi makro
Authors: Annissa Nur
Published: March 2023

Asupan makanan memiliki peranan penting dalam proses pemeliharaan tubuh dan pencegahan penyakit. Atlet sepak bola memerlukan asupan makanan lebih besar dari manusia umumnya untuk dapat memenuhi kebutuhan energi yang optimal. Disamping itu memiliki tubuh yang bugar menjadi faktor penting dalam mencapai prestasi gemilang bagi setiap atlet. Penelitian ini bertujuan untuk mengetahui hubungan usia, asupan energi dan zat gizi makro (protein, karbohidrat, dan lemak) dengan kebugaran (VO2Max). Metode: Penelitian ini menggunakan desain studi cross sectional. Sampel berjumlah 30 orang menggunakan teknik purposive sampling. Data asupan makanan berasal dari food recall 2x24jam tidak berturut-turut, sedangkan data kebugaran (VO2Max) menggunakan metode Yo-yo Intermittent Recovery Test Level 1 (Yo-yo IR1). Teknis analisis data menggunakan uji korelasi Spearman. Hasil: Hasil uji korelasi Spearman menunjukkan ada hubungan yang signifikan antara usia (p0,05) tidak ada hubungan yang signifikan dengan kebugaran (VO2Max). Kesimpulan: Terdapat hubungan yang signifikan antara usia, asupan energi, asupan protein, dan asupan karbohidrat dengan kebugaran (VO2Max). Hanya asupan lemak yang tidak berhubungan dengan kebugaran (VO2Max).
A Case Study of an Intelligent Traffic Control System in Smart Cities
Authors: Vishwanath Manish
Published: March 2023

Current traffic light systems use a fixed time delay for different traffic directions and do follow a particular cycle whileswitching from one signal to another. This creates unwanted congestion during peak hours, loss of man-hours and eventually declinein productivity. In addition to this, the current traffic light systems encourage extortion by corrupt traffic officials as commuters oftenviolate traffic rules because of the insufficient time allocated to their lanes or may want to avoid a long waiting period for their lanesto come up. This research is aimed at tackling the afore-mentioned problems by adopting a density based traffic control approachusing Jakpa Junction, one of the busiest junctions in Delta State, Nigeria as a case study. The developed system uses amicrocontroller of PIC89C51 microcontroller duly interfaced with sensors. The signal timing changes automatically based on thetraffic density at the junction, thereby, avoiding unnecessary waiting time at the junction. The sensors used in this project were infrared (IR) sensors and photodiodes which were placed in a Line of Sight configuration across the loads to detect the density of thetraffic signal. The density of the vehicles is measured in three zones i.e., low, medium and high based on which timings were allottedaccordingly. The developed system has proven to be smart and intelligent and capable of curbing incidences of traffic malpracticesand inefficiencies that have been the bane of current traffic congestion control systems in emerging cities of the third world
Prioritizing Issues in Nursing Care Planning
Authors: Vishwanath Manish
Published: March 2023

Patient who needs treatment. However, from a legal point of view, the doctor isresponsible for the diagnosis and treatment of the medical problem. The purpose ofdoing research about making priority problems in the planning of care management is totell the reader how to identify or prioritize the problem in planning care. And the e-bookthat is relevant and discusses the issue of Prioritizing Problems in Care Planning.According to the results of the research with the literature review method, the diagnosismust be based on the priority of the problem or the condition that is currentlyexperienced by the patient. Yaitu dengan
Control flow in active inference systems
Authors: Fields Chris , Fabrocini Filippo , Friston Karl , Glazebrook James F. , Hazan Hananel , Levin Michael , Marcianò Antonino
Published: March 2023

Living systems face both environmental complexity and limited access to free-energy resources. Survival under these conditions requires a control system that can activate, or deploy, available perception and action resources in a context specific way. We show here that when systems are described as executing active inference driven by the free-energy principle (and hence can be considered Bayesian prediction-error minimizers), their control flow systems can always be represented as tensor networks (TNs). We show how TNs as control systems can be implmented within the general framework of quantum topological neural networks, and discuss the implications of these results for modeling biological systems at multiple scales.
Unsupervised Learning vs. Round-Tripping in SpanishTurkish Machine Translation
Authors: Vishwanath Manish
Published: March 2023

The quality of data-driven Machine Translation (MT) strongly depends on the quantity as well as the quality of thetraining dataset. However, collecting a large set of training parallel texts is not easy in practice. Although various approaches havealready been proposed to overcome this issue, the lack of large parallel corpora still poses a major practical problem for manylanguage pairs. Since monolingual data plays an important role in boosting fluency for Neural MT (NMT) models, this paperinvestigates and compares the performance of two learning-based translation approaches for Spanish-Turkish translation as a lowresource setting in case we only have access to large sets of monolingual data in each language; 1) Unsupervised Learning approach,and 2) Round-Tripping approach. Either approach completely removes the need for bilingual data or enables us to train the NMTsystem relying on monolingual data only. We utilize an Attention-based NMT (Attentional NMT) model, which leverages a carefulinitialization of the parameters, the denoising effect of language models, and the automatic generation of bilingual data. Ourexperimental results demonstrate that the Unsupervised Learning approach outperforms the Round-Tripping approach in SpanishTurkish translation and vice versa. These results confirm that the Unsupervised Learning approach is still a reliable learning-basedtranslation technique for Spanish-Turkish low-resource NMT.
The intelligent solution: automation, the skills shortage and cyber-security & International Conference on Artificial Intelligence
Authors: Vishwanath Manish
Published: March 2023

: We’ve all heard of the wider IT skills shortage, but the lack of security skills in theindustry is even more critical. According to a report, ‘The Life and Times of CybersecurityProfessionals’ by the Enterprise Strategy Group and the Information Systems SecurityAssociation, IT workers that have specialist cyber-security skills are approached with a new joboffer at least once a week.2 In fact, 45% of organizations claim to be severely lacking in thisspecific area of talent. In a survey carried out a year ago of IT contractors, ‘IT Talent Acquisition;the candidate’s view’, 31% of IT contractors identified salary and day rate as the biggest attractionswhen looking a new IT job – another indication that finding professionals with cyber-security skillscould be costly.
THE WORK OF THE NURSING PROCESS FOR ASSESSMENT OF NURSING PROCESS
Authors: Vishwanath Manish
Published: March 2023

The pengkajian process is the first stage of the maintenance process that is done systematicallyby collecting individual data comprehensively related to biological, psychological, social, andspiritual aspects. Tujuan peresanikan ini adalah untuk mengetahi keperawatan proesospengkajian keperawatan di ruang rawat inap integrated RSUP H. Adam malik medan. Penelitianini menggunakan approach studi phenomenologi. Partisispan pada peresinikan ini semanta limapartisipatan dan selected dengan methode purposive sampling. Data collection is done by usingquestionnaire data demographics, observations, and in-depth interviews and recorded usingtools. Analyze data done with the Colaizzi method. The research results were divided into fourcategories, namely the pendorong factor of pengkajian implementation, the method of datacollection in pengkajian, the benefit of pengkajian implementation, and the penghambat factorof pengkajian implementation process. Mengingat keperawatan pengkajian maka recommendedagar mendat keperahensif pengkajian keperawatan yang komperhensif dan berkesinambungan.
NURSING APPLICATION FOR INSOMNIA PATIENTS
Authors: Vishwanath Manish
Published: March 2023

Implementation is the management and implementation of the planning plan. Measures of nursingintervention given to the client related to support, medication, actions to improve conditions,education for the client's family, or actions to prevent health problems that arise in the future.Research Objectives: This research is useful for understanding nursing care for insomnia patients.Research Method: This research method uses scriptive research methods and accumulating data fromvarious literatures both from books, journals, internet, e-books, etc. Research Results: The result ofthis research shows that this writing is the answer to all the objectives of this research.
HUBUNGAN TEKNIK MENGEDAN DENGAN KEJADIAN RUPTUR PERINEUM PADA IBU BERSALIN DI PUSKESMAS TIBAWA KABUPATEN GORONTALO
Authors: Vishwanath Manish
Published: March 2023

This research aims to investigate the relationship between technique and theoccurrence of rupture of the perineum in the mother's womb at the TibawaHealth Center. This study used a quantitative survey method with the type ofobservational analytic preparation and cross-sectional planning andaccumulating data Done at the same time. The sample variation techniqueused purposive sampling with a total sample of 32 respondents who gavebirth at the Tibawa Health Center. Univariate and bivariate data analysis wasdone using the Spearmen rank statistical test with a significance level of α =0.05. The results of this research show that the significant value (2-failed) ofthe relationship technique is associated with the occurrence of rupture of theperineum in the patient's body at the Tibawa Health Center.
Real-Time Distracted Drivers Detection Using Deep Learning
Authors: Vishwanath Manish
Published: March 2023

In the last few years, the number of road accidents is increasing worldwide. According to the World HealthOrganization the most common cause behind these accidents is driver’s distraction and in many cases is caused by the use of a mobilephone. An attempt to develop a system for detecting distracted drivers and warn the responsible person against it was done. Thesystem is a CNN based system that detects and identifies the cause of distraction. The base architecture for the CNN is VGG-16 andis modified for this task. Various activation functions (Leaky ReLU, DReLU, SELU) were used in order to investigate performance.Also, the performance of a lightweight attention module (squeeze-and-excitation) was evaluated. Experimental results show that thesystem outperforms earlier lightweight models in literature achieving an accuracy of 95.82%.
Artificial intelligence, data protection, and cyber security regulatory intersections: problems and potential for the EU legal framework
Authors: Vishwanath Manish
Published: March 2023

The presented paper focuses on the analysis of strategic documents at the level of theEuropean Union (EU) concerning the regulation of artificial intelligence as one of the so-calleddisruptive technologies. In the frst part of the article, we outline the basic terminology.Subsequently, we focus on the summarizing and systemizing of the key documents adopted at theEU level in terms of artifcial intelligence regulation. The focus of the paper is devoted to issues ofpersonal data protection and cyber security included in these strategic documents. The fnal partcontains recommendations for future research and evaluation of its key features
Self-organizing Map Taxonomy of Living Organisms
Authors: Vishwanath Manish
Published: March 2023

The Self Organizing Map (SOM) is an unsupervised network algorithm that projects high dimensional data into lowdimensional maps. The projection preserves the topology of the data so that similar data items are mapped to nearby locations on themap. The algorithm has been so popular because of its application in Computer Science and other areas; it has been applied in speechrecognition, pattern identification, control engineering, earthquake detection et al. This research aimed to apply the SOM in thetaxonomy of living organisms using 46 attributes. 68 animals from 6 phyla were considered and 46 attributes were used detailingtheir physical features, physiological features, evolution, adaptation, habitat et al. The features extracted were converted to 0s and 1sfor the SOM algorithm to process. The result shows 96.569% accuracy of the SOM’s classification but better accuracy can beobtained if the SOM had processed the data for about 1000 iterations. This research revealed that SOM is a veritable tool or algorithmthat can be used to classify living organisms. This research will help taxonomists, biologists and students who spend much time inclassifying living organism and it will be of help to researchers who want to explore the SOM algorithm as a solution to taxonomy ofliving organisms. The SOM will ease taxonomy and will help to minimize the stress and time involved in classifying thousands ofliving organisms.
Enhancing Nurse Productivity by Promoting Professionalism
Authors: Vishwanath Manish
Published: March 2023

Nurses are the biggest proportion of hospital staff. Nurses interact directly with patients in the services.Therefore, it directly affects the quality of patient care and satisfaction as well as productivity andimprovementof the hospital's image. Nurses believe that they have primary responsibility in the care and welfare of theirpatients. Some problem of nurses in the self-concept is the lack of communication nurses with the publicand the invisible nurses in the media. The nurse's negative self-concept is partly due to the nurse himself.The positive self-concept of professional nurses can improve nurse self-confidence in appropriate nursinginterventions to improve patient health status thereby increasing hospital productivity
Based on Observed Symptoms, a Neuro-Fuzzy CaseBased Reasoning Framework for Detecting Lassa Fever
Authors: Vishwanath Manish
Published: March 2023

Lassa fever is an acute viral haemorrhagic fever that is awfully infectious through infected rodents in themastomysnatalensis species that are complex reservoirs capable of excreting the virus through their urine, saliva, excreta and otherbody fluids to man. The virus is a single stranded RNA virus belonging to the arenaviridae family. It presents no definite signs orsymptoms and clinical analysis is often problematic especially at the early onset of the disease. Accurate diagnosis requires highlyspecialized laboratories, which are expensive and not readily available to the entire populace. Early diagnosis and treatment of Lassafever is very vital for survival. In this study, we identified that fuzzy logic and rule-based techniques are the only artificialintelligence supported approach that has been used to develop an expert system for diagnosing the dreaded Lassa fever as analternative to laboratory methodology. It is noted that rule-based is not an efficient technique in the designing expert systems basedon its shortcomings such as opaque relations between rules, ineffective search strategy, and its inability to learn; while the fuzzybased technique does not also support the ability to learn but good in areas such as knowledge representation, uncertainty tolerance,imprecision tolerance, and explanation ability. Based on these information gathered, the authors decided to design a hybridizedintelligent framework driven by the integration of Neural Network (NN), Fuzzy logic (FL) and Case Based Reasoning (CBR) basedon their individual strengths put together in order to proffer a quick and reliable diagnosis for Lassa fever infection using observedclinical symptoms that could aid medical practitioners in decision making.
Traffic Light Controller Module Based on Particle Swarm Optimization (PSO)
Authors: Vishwanath Manish
Published: March 2023

: A traffic light control module base on PSO algorithm has been presented to find the optimal set of adjacent streets thatare the candidate to take the green period time providing the best vehicles flow. In our previous work a visual traffic light monitoringmodule has been presented. This module able to determine the traffic conditions (crowded, normal and empty). The proposed controlmodule should be able to integrate with the previous monitoring module to develop a new complete intelligent traffic light system.Promising results have been obtained via applying the proposed traffic light controller module. The controller module shows itsability to select a set of streets. The green period time will be given to these selected streets to achieve the optimal vehicle flowthrough the traffic light’s intersections. The results show that the proposed control module improving the flow ratio about 85% to96% with a different number of traffic lights.
Embedded Tracking System Design Reduces Human Effort in Optical Tracking of Anti-Tank Guided Missile Targets
Authors: Vishwanath Manish
Published: March 2023

Human role reduction in the firing process in the physical military systems is the way to improve the overall systemperformance and achieve the requirement of operation, especially for the anti-tank guided missile (ATGM). In the second-generationATGM system, the human operator is responsible for following the target until the missile clash the target (Manual Target Tracking).Achieving an acceptable flight trajectory with getting a minimum miss distance, which is a distance between the center of the targetand the impact point, is the factor that used to measure the ATGM performance. This paper is dedicated to designing andimplementation of an embedded tracking system capable of dealing with the slow-moving objects, which is carried out as a step toreduce the human operator role during the operation, in addition, upgrade the second-generation anti-tank guided missile system tothird generation ATGM system (Automatic target tracking). The present work seeks to take benefits of a System on Chip (SoC)technology, including embedded Linux systems, in the real-time computer vision applications. The nonlinear flight simulation modelof the intended missile system is presented in a MATLAB environment. The tracking algorithm is described using Pythonprograming language with the aid of OpenCV library and implemented based on embedded Raspberry Pi system (RPI). Hardware-inLoop experimental test is carried out to evaluate and validate the methodology of the proposed work to achieve the overall systemrequirement with an acceptable flight trajectory and minimum miss-distance.
ZAT GIZI MAKRO
Authors: Kasman Nur Adillah
Published: March 2023

Gizi makro adalah jenis zat gizi yang tubuh perlukan dalam jumlah yang besar. Biasanya kebutuhan ini bisa dalam satuan gram atau orang atau hari. Kelompok dari zat gizi ini terdiri dari karbohidrat, lemak, dan protein.Selain itu, makronutrien (sebutan lain dari nutrisi makro) sama-sama menyediakan energi bagi manusia agar bisa beraktivitas dan menjalankan fungsi-fungsinya. Artinya, tubuh membutuhkan ketiga nutrisi di atas dalam jumlah yang besar setiap harinya.
Nanodroplets of metastable perfluorocarbon for improved HIFU ablation
Authors: Vishwanath Manish
Published: March 2023

Overall, this project has been very successful. We have shown that HIFU-mediated ablationcan be significantly enhanced in-vivo with mixed perfluorocarbon nanodroplets compared to HIFU alone.Furthermore, data demonstrated that although microbubbles could also enhance HIFU ablation, they resulted inunintended prefocal thermal delivery and skin burns. These experiments highlight the benefit of our phasechange agent, which converts to a microbubble only at the acoustic focus, to enhance HIFU delivery.Furthermore, our data illustrated that an agent with an activation threshold tuned to match the delivered focalacoustic pressure can provide a mechanism for keeping thermal delivery enhancement to a spatially selectedregion of interest, as determined by the pressure field and vaporization threshold of the agent. Our conclusionis that phase change nanodroplets, such as our formulation,
Tinjauan Pustaka Gizi Makro
Authors: nabilah afridatun
Published: March 2023

Masalah gizi masih menjadi masalah penting di Indonesia, terlebih pada gizi anak sekolah dasar, karena pengaruhnya terhadap perkembangan dan pertumbuhannya. Tinjauan pustaka ini berisikan pembahasan mengenai zat gizi makro berdasarkan literatur ilmiah penelitian-penelitian terdahulu
ZAT GIZI MAKRO ( KARBOHIDRAT, PROTEIN, LEMAK )
Authors: Rahmat Andi Indah Maulia
Published: March 2023

Zat gizi mikro merupakan nutrisi yang terkandung dalam tubuh dengan jumlah sedikit. Meski jumlahnya sedikit, kebutuhan zat gizi mikro tetap perlu dicukupi karena fungsinya bagi tubuh ada banyak, misalnya proses pertumbuhan, kekebalan tubuh, dan perkembangan otak. sementara itu, zat gizi makro dalam tubuh memiliki jumlah yang lebih banyak daripada zat gizi mikro. zat gizi ini berfungsi sebagai sumber energi agar tubuh dapat melakukan berbagai aktivitas, sehingga dibutuhkan dalam jumlah besar.
Tinjauan Pustaka Zat Gizi Makro Karbohidrat, Protein, dan Lemak
Authors: Zhahiirah Andi Nur Shabaa
Published: March 2023

Penelitian-penelitian ini menunjukkan betapa pentingnya konsumsi gizi makro yang seimbang dan sesuai dengan kebutuhan individu. Dalam keseluruhan, asupan gizi makro yang seimbang sangat penting bagi kesehatan tubuh. Memperhatikan jenis makanan yang dikonsumsi dan jumlahnya dapat membantu memastikan bahwa tubuh mendapatkan nutrisi yang dibutuhkan.
Artificial Intelligence Based Digital Forensics Framework & Artificial Intelligence in Cyber Security
Authors: Vishwanath Manish
Published: March 2023

Cybersecurity is the process of protecting computer networks from cyber-attacks orunintended unauthorized access. It is the need of the hour. Organizations, businesses, andgovernments need cybersecurity solutions because cyber criminals pose a threat to everyone.Artificial intelligence promises to be a great solution for this. By combining the strength ofartificial intelligence with cybersecurity, security experts are more capable to defend vulnerablenetworks and data from cyber attackers. This paper introduces the use of artificial intelligence incybersecurity. With increase in number of Internet and smartphone users, cybercrimes are equallyincreased. Current resources including man power are not sufficient to investigate and solvecybercrimes with the pace they are committed. Present tools and technology require humaninteraction at large scale, which slows down the process. There is acute need to optimize speedand performance of Digital Forensic Tools to keep pace with the reported cyber crimes. AnArtificial Intelligence Based Digital Forensics Framework is proposed in this paper to overcomeabove issues. The framework proposed in this paper require minimum user interaction and doesmajority of routine operations by intelligence acquired from training. Outcome of the work ismentioned in the form of proposed framework to optimize digital forensics process.
Zat gizi Makro
Authors: Ashilah Naila
Published: March 2023

hubungan asupan energi dan zat gizi makro (protein, karbohidrat, lemak)terhadap remaja
An Artificial Intelligence Cyber Security Algorithm for Cooperative P2P File Sharing in Social Network & Artificial Intelligence for Offence and Defense
Authors: Vishwanath Manish
Published: March 2023

Artificial intelligence offense perspective refers to the capability of cybercriminalsusing intelligence to sophisticate their attacks. While the AI defense side is about companies andindividuals, using AI tools to counter cyber-attacks. The study has revealed that machine languageis a part of AI with potential benefits to the current and future of cybersecurity. The Networksecurity is believed to be a subset or sub domain of cyber security. They differ significantly in theimplementation of network security to protect internal information by examining the activities ofemployees and network access. In contrast, cyber security focuses on external threats, such assecurity breaches created by hackers. Its performance has been compared with some of thealgorithms currently in practice and its results are given. The currently proposed algorithm will beoptimized for financial institutions as it exhibits better performance.
Spinal Disc Degeneration: Low Intensity Pulsed Ultrasound (LIPUS) Treatment
Authors: Vishwanath Manish
Published: March 2023

Oxygenation is the most vital basic need in human life. Deficiency of oxygen will affect deathcell. Oleh karena itu pada pasien irduad system respira, oxyggen tidak bisa terpenuhi secara normalmelaikan nekukan bantuang terapi oxyggen untuk purpuras metabolism sel. The purpose of thisresearch is to observe the administration of oxygen therapy to patients with respiratory systemdisorders at RSUD Bangil Pasuruan. Desain research ini menggunakan methode diskriptif, sampelyang dibildi yaitu alle nurset yang berkja diruang paru dan bangsal RSUD Bangil Pasuruan. The totalsampling that was taken is 24 people with the technique of total sampling. The instrument used fordata collection is observation. Hasil peresinikan dari 24 orang erkebhan hasil 14 orang kursemberkempuan "cukup baik" or about 58,3%. Serta 10 people berkempuan berkempuan "baik" dalamdalam pakanan terapi oxygen atau around 41,6%. From the results of this research, it is shown that theability of nurses to provide care needs to be improved according to the SOP. Rekomendasi dariperesinikan ini hendaknya nurtama perlu domana evaluation, dan participation nurtama untuk SOP,khusana kiaksana terapiya terapi oxygen
Hamiltonian cycles and travelling salesfolk
Authors: Gomez Alberto Gomez
Published: March 2023

A method is given in this paper that makes it easier to solve both the Hamiltonian cycle problem and the travelling salesman problem in any number of space dimensions and in both their directed and undirected varieties.
A survey of new orientations in the field of vehicular cybersecurity, applying artificial intelligence-based methods
Authors: Vishwanath Manish
Published: March 2023

t Nowadays, cybersecurity is an emerging research area in the automotive industry, and itis investigated by many different perspectives. Our article is a review of existing vehicular securitysolutions that covers the state-of-the-art and future research directions. This article is a newcontribution to tutorials/surveys related to the vehicular cybersecurity domain with the latestdetails. We developed a database from 140 articles from the field of automotive security. In thedatabase, we assigned specific attributes to every article (such as Web of Science Impact Factor orthe number of citations). The data set was analyzed by the K-means clustering and decision treeanalysis methods to identify and characterize the generated groups of papers. Following this, thearticle highlights the research areas that might receive more attention in the future. Accordingly,the result of the current research can be applied by the decision-makers, researchers, and OriginalEquipment Manufacturers to allocate additional resources to those domains, which is expected toshape the future of vehicular security
Towards an Artificial Intelligence Framework to Actively Defend Cyberspace & e applications of Artificial Intelligence in Cybersecurity
Authors: Vishwanath Manish
Published: March 2023

The Internet’s expansion as a new power domain and the development of Informationand Communications Technology has introduced an unprecedented magnitude of convenience andefficiency to its users Thus, human intervention and capacity is not enough to sufficiently dealwith advanced threats, speed of processes, the amount of data, and the vulnerability of intrusion.This paper proposes the use of an AI framework to address these advanced threats. The counteringof advanced adversaries requires an active approach to security that will place an emphasis onproactive measures, real time detection, active monitoring and mitigation of key threats. The ratesat which cyber-attacks are performed have made the cybersecurity unprotected and make itimpossible for the security experts to evaluate and combat every new type of cyber-attack. Today'sdigital age necessarily requires the protection of a vast amount of valuable electronic data fromcyber-attacks. Cyber-attacks can destroy the reputation of organizations even shutdownorganizations. The protection of cybersecurity is inevitable. In this paper, we have highlighted thepotential applications of AI in cybersecurity.
ILMU GIZI ZAT MAKRO
Authors: Ananda Nur Aulia
Published: March 2023

Zat gizi makro merupakan komponen terbesar dari susunan diet yang berfungsi untuk menyuplaienergi dan zat-zat esensial (petumbuhan/jaringan), lemak, protein (zat putih telur), makromineraldan air. Zat gizi makro sebagai sumber energi dapa diuraikan secara timbal balik, dalam hal ini karbohidrat menghasilkan 4 Kkal/g, lemak 9 Kkal/g dan potein 4 Kkal/g.
Empathy, Kindness, and Moderation Are Not Just Formalities in Science
Authors: Rovetta Alessandro , Castaldo Lucia
Published: March 2023

No abstract available.
Organizational Knowledge Transformation and Selforganizing Knowledge Representation Model
Authors: Vishwanath Manish
Published: March 2023

The purpose of the paper is development of a conceptual model for the representation of knowledge as an activeintellectual substance and, on this basis, study of metaphysics of knowledge transformation process being produced both individuallyand collectively in the practice of organizations. The first principle of knowledge engineering, as Edward Albert Feigenbaum noted,says that the power in solving problems that an intellectual subject (person or machine) manifests in the process of activity dependsprimarily on its knowledge base, and only secondly on the methods of inference used. Strength is hidden in knowledge. The processof producing knowledge is permanent and does not depend on whether an individual is going to use this knowledge or not.Knowledge constantly produces new knowledge regardless of the owner's desire. Besides that, knowledge can’t arise from nothing,but always – from some knowledge obtained earlier. As well as the intelligence, knowledge is an emergent instance arising from thecollective interaction of a lot of intellectual atomic elements of knowledge (knowledge quanta). Idiosyncrasy of this interaction isexpressed precisely in the creation of new knowledge.