bluuebunny/crossref_metadata_2025 huggingface dataset:
DIFFERENT LEVELS OF SALICYLIC ACID AND DROUGHT IMPACTS ON MAIN PHYTOCHEMICAL COMPOUNDS OF SUNFLOWER (HELIANTHUS ANNUUS L.)
Authors: Hamad Saber W. , Bapir Shorsh H. , Salih Sahar A. , Hussein Rozhgar A. , Anwar Talar K.
Published: July 2024

This study covered 2 locations, using 3 replications with randomized complete block design (RCBD) as a split-plot factorial arrangement, to determine the effect of both irrigation (I1, I2, & I3) and salicylic acid application (S1), and non-SA (S0) treatments, respectively, on sunflower seed oil % and main phytochemical components %, at ache-forming, flowering, and vegetative stages, compared to complete irrigation (I4). SA applied with full irrigation resulted in the highest values of seed oil % and overwhelming majority phytochemical components. On the contrary, the lowest values were noted by none (SA) application with skipping irrigation at the flowering-stage (I2S0).
CORRELATION OF COVID-19 TO LUNG INFECTIONS AND PREDICTION OF LUNG INFECTIONS IN COVID-19 PATIENTS IN IRAQ USING DATA MINING METHODS
Authors: Alomadi Shivan S. , Ahmed Rasool Jihan A.
Published: July 2024

The Covid-19 pandemic emerged as an unforeseen global crisis, exerting a profound influence on various aspects of human life. Hence, the need for collaborative efforts and scholarly investigations to address and alleviate the challenges arising from this crisis is crucial. One notable concern pertains to lung infections, which are recognized as a highly perilous consequence of the aforementioned virus. Thus, this study aims to investigate the potential correlation between Covid-19 and lung infections, and test the efficacy of various algorithms in predicting lung infections amongst Covid-19 patients. For this purpose, data has been procured from multiple health institutions in Iraq. Using this data, a robust correlation between Covid-19 and lung infection cases was found and the bagging, boosting, naïve Bayes, K-Nearest Neighbour, J48, random forest, PART, and logistic regression algorithms showcased a high accuracy in prediction lung infection in Covid-19 patients, with naïve Bayes achieving the highest accuracy of 93.41 percent.
THE PREDICTION OF HEART DISEASE USING MACHINE LEARNING ALGORITHMS
Authors: Mohammed Snwr J. , Tayfor Noor B.
Published: July 2024

Heart disease threatens the lives of around one individual per minute, establishing it as the foremost cause of mortality in the contemporary era. A wide range of individuals over the globe has encountered the intricacies associated with cardiovascular illness. Various factors, such as hypertension, elevated levels of cholesterol, and an irregular pulse rhythm hinder the early identification of a cardiovascular disease. In cardiology, similar to other branches of Medicine, timely and precise identification of cardiac diseases is of utmost importance. Anticipating the onset of heart failure at the appropriate moment can provide challenges, particularly for cardiologists and surgeons. Fortunately, categorisation and forecasting models can assist the medical business and provide real applications for medical data.
Regarding this, Machine Learning (ML) algorithms and techniques have benefited from the automated analysis of several medical datasets and complex data to aid the medical community in diagnosing heart-related diseases. Predicting if the patient has early-stage cardiac disease is the primary goal of this paper.
A prior study that worked on the Erbil Heart Disease dataset has proved that Naïve Bayes (NB) got an accuracy of 65%, which is the worst classifier, while Decision Tree (DT) obtained the highest accuracy of 98%. In this article, a comparison study has been applied using the same dataset (i.e., Erbil Heart Disease dataset) between multiple ML algorithms, for instance, LR (Logistic Regression), KNN (K-Nearest Neighbours), SVM (Support Vector Machine), DT (Decision Tree), MLP (Multi-Layer Perceptron), NB (Naïve Bayes) and RF (Random Forest). Surprisingly, we obtained an accuracy of 98% after applying LR, MLP, and RF, which was the best outcome. Furthermore, the accuracy obtained by the NB classifier differed incredibly from the one received in the prior work.
Issues of applicability and effectiveness of individual elements of the ice management system in the implementation of Arctic shelf development projects
Authors: Buzin I.V. ,   State Research Center ", Onishchenko D.A. ,   Arctic and Antarctic Research Institute",   Gazprom VNIIGAZ LLC
Published: July 2024

In order to reduce the probability of dangerous impacts from ice cover and icebergs on offshore oil and gas production facilities, as well as to protect associated marine operations it is necessary to develop and implement so-called “Ice Management Systems” (IMS). The authors analyze the technologies and tools, used in practical ice management operations in various areas of the Arctic shelf, define the list of key technologies and consider the limitations of additional technologies. They assume that in real IM practice it is possible to abandon the technology of measuring the drift of ice formations using radio beacons in favor of measurements by vessel radars (“ice radars”). Based on open sources, the authors carry out a performance analysis of ice management (IM) operations to influence icebergs and drifting ice. Analysis of numerical simulation results allows them to select the most effective scheme for the operation of icebreakers when breaking the drifting ice.
ANALYSIS OF THE CONTEMPORARY STATUS OF THE VORONEZH LABOR MARKET AND THE TRENDS OF ITS DEVELOPMENT
Authors: Колесникова О.А. , Львович К.И.
Published: July 2024

В статье анализируется современное состояние рынка труда и сферы занятости г. Воронежа, проводится сравнение с другими городами Российской Федерации: Ростовом, Волгоградом, Нижним Новгородом, Белгородом и Липецком. Выявлено, что развитие рынка труда городского округа происходит в соответствии с общими для всех них трендами: снижается уровень безработицы, рассчитанный по методологии МОТ, наблюдается устойчивая динамика сокращения безработных как на полном, так и регистрируемом сегменте рынка труда. В области доходов населения отмечены в целом положительные тенденции, однако некоторые из них не приняли устойчивого характера. Отмечается, что основные индикаторы сферы труда и занятости в г. Воронеже демонстрируют положительную динамику. Значительного отставания от показателей других городов Российской Федерации не выявлено.

The article analyzes the current state of the labor market and employment in Voronezh, compared with other cities of the Russian Federation: Rostov, Volgograd, Nizhny Novgorod, Belgorod and Lipetsk. It is revealed that the development of the labor market of the urban district is in accordance with the trends common to all of them: the unemployment level calculated on the basis of the ILO methodology is decreasing; there is a stable dynamics of the decrease in the unemployed both in the full and registered segment of the labor market. In general, positive trends were noted in the area of household incomes, but some of them did not become sustainable. It is noted that the main indicators of the sphere of labor and employment in Voronezh demonstrate positive dynamics. Significant lag behind the indicators of other cities of the Russian Federation was not revealed.
Digitalization: positive effects, challenges and threats
Authors: Чеканов И.И.
Published: July 2024

В работе рассматривается процесс по переходу государства от постиндустриальной экономики к экономики информационной, в которой особенную роль имеет информация и приобретает определённую ценность. Посредством введения цифровой экономики, различные государственные структуры увеличили основные производственные показатели, в особенности в сфере услуг. При помощи трансформации, многие процессы стали осуществляться более успешно, прозрачно и быстрее. У потребителей услуг увеличилась возможность, не выходя из дома предоставлять себе доступ к различным государственным программам и интернет товарам. Современная жизнь становится куда более удобной, уменьшая необходимость в бумажной волоките и постоянном передвижении от одной структуры к другой, но это также порождает определённые риски, связанные с информационной безопасностью и сохранностью персональных данных.
Rh(III)-Catalyzed [4+3] Annulation: Temperature Dependent Ste-reodivergent Synthesis of Point-Planar Chiral Ferrocene Fused Azepines
Authors: Thorat Raviraj Ananda , Parganiha Devendra , Jain Saket , Shakir Batul , Rohilla Komal , KUMAR SANGIT , Choudhary Vishal
Published: July 2024

Planar chiral ferrocenes are extensively researched molecules in the fields of asymmetric catalysis, materials science, and medicinal chemistry. Yet, achieving complete control over planar and point chirality simultaneously in a single step remains challenging. Herein, we disclose the first temperature-dependent stereodivergent [4+3] annulation of ferrocene-p-tosylamides via C-H activation with allenes by Rh-catalyst. At room temperature, Rh-catalyzed [4+3] annulation selectively offered one diastereomer (>20:1 dr), whereas at 60 ᵒC, another diastereomer was obtained exclusively with >20:1 dr. Further, [4+3] annulation reaction in the presence of a chiral RhCpX catalyst yielded chiral thermodynamic controlled ferrocenyl azepines up to 84% yield and 96:4 er and chiral kinetically controlled ferrocenyl azepines upto 55% and 97:3 er. The control experiments, isotopic labelling study, and DFT calculations suggested that the reaction proceeds via a σ-bonded rhodacycle avoiding steric repulsion between the phenyl ring of allene and Cp of Rh-catalyst. Which upon reductive elimination offered a kinetically controlled diastereomer at room temperature. Under heating (60 ᵒC) conditions, kinetically controlled diastereomer undergo C-N bond ring opening to afford completely thermodynamically controlled diastereomer and this conversion has also been observed experimentally on isolated kinetically controlled diastereomer.
Machine Learning-Based Recommendation of Optimal Crystallization Conditions for Organic Small Molecules
Authors: Li Zi , Fu Wenbo , Li Bochen , Yao Jia , Yuan Jiuchuang , Bellucci Michael , Sun Guangxu , Song Zhengtian , Liu Shi , Lang Zhu , Ma Jian , Wen Shuhao , Zeng Qun
Published: July 2024

Crystallization is an important process in a broad range of industries, though studies on this topic remain complicated. Recently, machine learning has been applied to resolve complex issues in chemistry and material science. Here we present a machine learning model to propose crystallization experiments for organic small molecules. This model has been integrated into a robotic platform that performs experiments automatically. To improve applicability and accuracy, the model was trained on both simulated and experimental data. In comparative case studies, polymorph screening experiments by the platform yielded a high rate of solid products, and the number of forms obtained by the platform equaled those obtained by human researchers. The model provides a data-based perspective of the promoting and inhibiting influences to crystallization from molecular and interaction features. This work demonstrates the feasibility of applying machine learning techniques to solid-state studies to boost efficiency and deepen understanding.
Organocatalytic asymmetric allylic benzylborylation via fluoride-assisted catalytic generation of alpha-boryl carbanionic intermediates
Authors: Duran Jordi , Rodríguez Paula , Vermeer Ward , Companyó Xavier
Published: July 2024

Herein we describe the organocatalytic asymmetric allylic benzylborylation of racemic allyl fluorides with racemic alpha-silyl benzylboronic esters under Lewis-base catalysis. The catalytic protocol leverages the singular features of fluoride as unconventional leaving group, enabling the catalytic generation of reactive alpha-boryl carbanion species through fluoride-assisted desilylative activation. It allows the construction of a wide set of homoallylic benzylated organoboronates bearing two contiguous stereocenters in a regio-, diastereo-, and enantioselective fashion. In addition, the chiral boronate moiety installed in the final products serves as a synthetic lynchpin for stereospecific derivatizations to construct complex chemical architectures.
Molecular modeling of luciferyl adenylate deprotonation in the active site of Photinus pyralis luciferase
Authors: Polyakov Igor , Khrenova Maria
Published: July 2024

Firefly bioluminescence is a product of chemical reactions that involve luciferin chromophore oxidation in the active site of luciferase proteins. We perform a series of classical molecular dynamic simulations and combined quantum and molecular mechanics (QM/MM) calculations to expose the molecular mechanism of C4 carbon atom deprotonation in luciferyl adenylate molecule. QM/MM calculations confirm that ND-protonated His245 residue is a suitable proton acceptor in the wild type Photinus pyralis luciferase. Classical molecular dynamic simulations reveal oxygen binding cavities inside the protein including the one located close to the C4 atom of luciferin. In mutant forms that lack direct interactions with the His245 side chain, a proton wire comprising water molecules stimulates either protonation of the phosphate group of the luciferyl adenylate forming an unstable intermediate or keto-enol tautomerization of luciferin. The comparison of the ionization potentials of molecular systems with the ‘deprotonated’ C4 carbon atom revealed that the ionization energy for the enol tautomeric form is close to the system with the His245 proton acceptor. Thus, existence of the keto-enol tautomerization channel might explain bioluminescence in case of absence of the amino acid proton acceptor.
Theoretical insight into adenine-uracil and adenine-thymine photodeactivation mechanisms.
Authors: Szkaradek Kinga , Góra Robert
Published: July 2024

In this work, a thorough description of the photochemical and photophysical response of the Watson--Crick base pairs of adenine with uracil (A-U) or thymine (A-T) according to the SCS-ADC(2) results is discussed. Although widely explored, these systems lack a complete characterization of possible intra- and intermolecular relaxation channels induced by charge- or proton-transfer phenomena that may result due to the interaction of nucleobases in electronically excited states. In particular, we address the still open debate on photodeactivation via purine-ring puckering at the C2 or C6-atom position. We also consider the presence of low-lying long-living $^1\mathrm{n}\pi^\ast$ states to be a significant factor in the relaxation handicap through the EDPT process, as population of these states leads to internal conversion processes or efficient intersystem crossing to triplet manifold, whose estimated rate of $1.6\times 10^{10}\; \mathrm{s}^{-1}$, exceeds by an order of magnitude the corresponding internal conversion to the ground state. Additionally, the use of the SCS variant of the ADC(2) method is shown to provide a more balanced description of valence and charge-transfer excited states.
Automatic Generation of Chemical Mechanisms for Electrochemical Systems: Solid Electrolyte Interphase Formation in Lithium Batteries
Authors: Johnson Matthew , Farina Jr. David , Kavalsky Lance , Zador Judit , West Richard , Viswanathan Venkatasubramanian , Green William
Published: July 2024

Electrolytes in many lithium ion batteries decompose at the low potentials near the anode. The decomposition products form a layer termed the solid electrolyte interphase (SEI). The composition and growth of the SEI layer significantly affect both the capacity fade and safety of lithium ion batteries. However, SEI formation and growth kinetics are not well understood. In this work, we present an extension of the Reaction Mechanism Generator (RMG) software to automatically generate mechanisms for SEI formation. We extend RMG's solvation correction formulation to account for kinetic solvent effects and demonstrate the accuracy of this technique. We calculate thermochemical parameters for 252 species and rate coefficients for 69 reactions, most with associated solvation corrections. This and additional quantum chemistry data are used to extend RMG's thermodynamic group additivity and solute parameter estimation schemes to handle lithiated species and add 14 new reaction families to RMG. RMG is additionally extended to simulate electrocatalytic systems. Lastly we demonstrate RMG on the decomposition of acetonitrile and ethylene carbonate near a Li(110) anode. While this framework does not yet resolve individual ions, as appropriate thermochemistry estimators are not available, and thus, cannot yet resolve more complex electrochemical pathways, it is able to generate reasonable pathways for SEI formation that agree with important components and intermediates in literature.
Paper-based electrochemical device for the determination of H2S in murine lysates for liquid biopsy application
Authors: Glovi Alessandra , Miglione Antonella , Maresca Daniela Claudia , Somma Fabio , Giordano Antonio , Cinti Stefano
Published: July 2024

Hydrogen Sulfide (H₂S) is a biologically active endogenous gas, produced in mammalian tissues, which plays a critical role in several pathophysiological processes, including oncogenesis. Recent studies have indicated that this gas-transmitter may exert diametrically opposite effects on neoplastic cell proliferation, depending on the duration and concentration of H₂S exposure. Due to this dual role, antineoplastic drugs, aimed at modulating H₂S levels, are attracting considerable interest in both research and clinical settings. Furthermore, H₂S could serve as a diagnostic marker, potentially indicating the presence of tumors in various body fluids. Traditionally, H₂S is detected using spectrophotometric, chromatography, and fluorometric methods. However, the use of electrochemical sensors is a promising strategy to speed up and simplify operations. In this context, an electrochemical sensor, screen-printed on filter paper, and then modified with Prussian blue, was developed. After the optimization of various experimental parameters, such as the concentration of Prussian Blue to be used for the electrode modification and the constant potential applied during the chronoamperometric measurements, the sensor was analytically characterized in standard solution, achieving a good repeatability and a detection limit of 3 μM. The sensor was then applied to determine H₂S in several biological samples, including a murine skin lysate, two pharmacologically treated neoplastic murine lysates, and an untreated neoplastic murine lysate, obtaining results in agreement with those observed with the standard H2S determination method, demonstrating the applicability of the developed electroanalytical method for liquid biopsy.
Understanding Electrochemical Reversibility using Density Functional Theory: Bridging Theoretical Scheme of Squares and Experimental Cyclic Voltammetry
Authors: Mahdian Amir , Hashemi Arsalan , Laasonen Kari
Published: July 2024

Mechanistic redox and acid-base reactions play pivotal roles in numerous applications in both chemistry and biology. Bridging the gap between computational insights and experimental observations is crucial to illuminate the mechanisms underlying these redox processes. In this study, we enhanced our understanding of electrochemical reactions by leveraging the scheme of squares framework using a set of tens of molecules that have been examined in the field of redox flow batteries. Furthermore, we focused on developing our computational models by calibrating the calculated redox potentials against experimental data, thereby enhancing the predictive performance of our approach. These findings are applicable to a wide range of applications from energy storage to medicine and synthetic chemistry.
A multidimensional network-based approach to elucidate the molecular mechanism underlying tuberculosis and HIV coinfection
Authors: Aspatwar Ashok , Bhowmik Ratul , Shyamal Sagar Singh , Ray Rajarshi , Carta Fabrizio , Supuran Claudiu T. , Parkkila Seppo
Published: July 2024

Tuberculosis (TB) and human immunodeficiency virus (HIV) coinfection is a severe global health challenge with high morbidity and mortality rates. In this study, we employed a novel bioinformatics approach to gain a comprehensive understanding of the state of TB/HIV coinfection. Using a multidimensional graph-based clustering methodology, we identified several key pathways associated with infectious and autoimmune diseases, immune and inflammatory responses, cardiovascular dysfunctions, and metabolic processes. We identified therapeutic biomarkers regulated by established therapeutic chemicals and developed robust machine learning-based quantitative structure-activity relationship (ML-QSAR) models to identify effective drug candidates. Our models successfully identified S5105 proanthocyanidin as a promising modulator of the key inflammatory biomarkers TNF, IL1B, and IFNG. Furthermore, we analyzed the influence of environmental factors, such as arsenic, air pollutants, and carbon monoxide, on the progression and occurrence of TB/HIV coinfection. Our findings revealed that these toxicants can trigger a cascade of inflammatory responses, leading to lung fibrosis and a cytokine storm that exacerbates immune dysregulation in coinfected individuals. Additionally, the impact of air pollutants on cardiovascular health and neurological complications, such as AIDS-Dementia Complex, adds to the complexity of managing TB/HIV coinfection. Again, with the findings of multidimensional graphs, we tried to elucidate the correlation between the air quality indices and the occurrence of TB/HIV coinfection. The models highlighted particulate matter (PM)10 and PM2.5 concentrations as critical predictors, indicating that poor air quality is positively correlated with higher rates of HIV testing among TB patients and an increased percentage of HIV-positive TB patients on antiretroviral therapy (ART). This suggests regions with worse air quality may have more comprehensive health monitoring. By identifying these associations, we can better understand how arsenic and air pollutants might contribute to immune deterioration and disease progression in TB and HIV patients. Thus, a multidimensional methodology can significantly enhance drug discovery and environmental toxicological efforts by integrating diverse data sources and analytical techniques to uncover complex interactions, identify potential therapeutic targets, and assess the impact of environmental toxins on health with greater precision.
قياس وتحليل أثر الإنفاق العام وبعض متغيرات الاقتصاد الكلي في نسب الفقر للمدة 1990-2020 باستخدام انموذج الانحدار الذاتي للأبطاء الموزع (ARDL)
Authors: Saeed Dindar Issa , ظاهر عبد الحميد
Published: July 2024

تهدف الدراسة الى قياس وتحليل أثر الإنفاق العام وبعض متغيرات الاقتصاد الكلي على نسبة الفقر في العراق خلال المدة 1990-2020، وقد تم استخدام البيانات السنوية من مصادرها الرسمية، وقد تضمن الانموذج عدد من متغيرات الاقتصاد الكلي بجانب الإنفاق العام والتي شملت كل من معدل نمو الناتج المحلي الإجمالي، ومعدل البطالة، ومعدل التضخم، ومعدل نمو السكان، والتفاوت في توزيع الدخل. وافترضت الدراسة وجود علاقة عكسية ذات دلالة إحصائية بين نسبة الفقر وكل من (الإنفاق العام، معدل نمو الناتج المحلي الإجمالي)، وعلاقة طردية بين نسبة الفقر وكل من (معدل التضخم، معدل البطالة، معدل نمو السكان، التفاوت في توزيع الدخل). استعانت الدراسة بالمنهج الوصفي التحليلي في الجانب النظري فضلاً عن المنهج الكمي في الجانب التطبيقي وباستخدام نموذج الانحدار الذاتي للابطاء الموزع (ARDL)، وتوصلت الدراسة الى وجود علاقة عكسية غير معنوية بين الإنفاق العام ونسبة الفقر، ووجود علاقة عكسية معنوية بين نسبة الفقر ومعدل نمو الناتج المحلي الإجمالي، وعلاقة طردية معنوية بين نسبة الفقر وكل من (معدل التضخم ومعدل نمو السكان والتفاوت في توزيع الدخل). وعلاقة عكسية غير معنوية بين نسبة الفقر ومعدل البطالة. وأخيراً اختتمت الدراسة بمجموعة من التوصيات أهمها إعادة هيكلة الإنفاق العام لدعم الفئات الفقيرة وذلك من خلال توفير الخدمات الاجتماعية كالتعليم والصحة والمياه الصالحة للشرب، وضرورة تنفيذ الدولة لمشاريع التنمية الاقتصادية ورفع معدلات النمو الاقتصادي من أجل زيادة الدخل القومي من جهة وزيادة دخل الفقراء من جهة ثانية، والتركيز على تقليل التفاوت في توزيع الدخل.
Constructing Complex Words in the Dictionary of Ghazi
Authors: Ali Dilbreen
Published: July 2024

Abstract
Constructing Complex Words in the Dictionary of Ghazi
          In linguistics; there are various ways to increase vocabularies in dictionary. One of the ways to increase words is called the complex method. Complex words have not been studied until now in Kurdish language. The study is entitled ``Constructing Complex Words in the Dictionary of Ghazi``. It is a bilingual (Kurdish- Arabic) and (Arabic- Kurdish) dictionary. Throughout this research, the researcher tries to show the constructing complex words that have been used in the Kurdish and Arabic language via certain rules.                                                                                                   
          The research utilizes the qualitative method; this research is of immense significance because it has not been conducted enough in Kurdish language especially in the Bahdini Kurdish dictionary.  The purpose of this study is revealing how the rules of the complex words were composed or constructed in the dictionary. In addition to that, the study concentrates on divulging the rate of the rules used in constructing the complex words. In other words, the researcher will confirm how each rule for the constructed complex words have been put into use, and he will also show the percentage of these words. The newness of the title of the research is the chief research problem. Hence the researcher will attempt to display the complex words and their rules as well as their percentage in his research, therefore; the results will be unfolded accordingly.                                                              
                       
Key words: Words, derivation, percentage, Ghazi dictionary, constructing, complex.
The beginning of prophethood and the stages of Islamic call during the Meccan period in (Kitab Al-Umm) by Al-Shafi'i
Authors: Suliman Haliz , Ahmed Khatab
Published: July 2024

The history of the prophet's life (peace be upon him) begins with the revelation. Furthermore, historians give importance to the pre-Islamic period, meaning the conditions of people before the Islamic religion. Additionally, Muhammad's choice (peace be upon him) for prophecy. This invitation is divided into two phases in Mecca: the secret invitation phase lasted for three years in the first year of the prophecy, 610 AD. And the stage of declaration of the invitation is also divided into two stages: the stage of the prophet's invitation (peace be upon him) to his close relatives, and the stage of invitation to people in general and the people of Mecca in particular. This stage ended with the migration of Muslims to Medina in the thirteenth year of the prophecy. Imam Al-Shafi'i, may God have mercy on him, in his book Al-Umm, which is the primary focus of this research, conveys to us all this information in the various parts of his book, utilizing verses of the noble Quran and the Hadiths of the Prophet as evidence for his opinions on every topic he posed.
Utilização do software GeoGebra no ensino de Física Quântica
Authors: Antônio Mateus , Antônio Pantoja Maciel Marco
Published: July 2024

A utilização de simulações computacionais no ensino de Física tem sido alvo de muitas pesquisas nos últimos tempos e diversos foram desenvolvidos para auxiliar no processo de ensino e aprendizagem, tanto da Física como das Ciências, de maneira geral. O GeoGebra é uma ferramenta interativa de simulações matemáticas bastante conhecido, com um ambiente que combina elementos de álgebra e geometria, é de fácil programação e observação dos dados nele inseridos. Nós o utilizamos para simular resultados fundamentais da Física Quântica, como a catástrofe do ultravioleta, o efeito Comptom e o átomo de hidrogênio. A teoria quântica não é apenas tecnicamente difícil, mas conceitualmente rica, os resultados aqui apresentados demonstram a simplicidade de uso e os inúmeros detalhes que podem vir a ser trabalhados por meio da ferramenta. Com isso, somos induzidos a imaginar que ela pode ser ainda utilizada nas demais áreas da Física, com diferentes enfoques, uma vez que se trata de um com diversas funcionalidades.
Uma abordagem pedagógica da equação de difusão de nêutrons e suas aplicações
Authors: Amorim Ronni , Martins Alisson , Fonseca Clóves , Cardoso Leandro
Published: July 2024

Neste trabalho é apresentada uma revisão pedagógica acerca da equação de difusão de nêutrons. Como aplicação, foram discutidos os problemas de atenuação de nêutrons, bem como o cálculo do raio crítico de reatores de formatos esférico e cilíndrico. Esperamos que este trabalho possa auxiliar estudantes que estão iniciando os estudos na área de reatores nucleares.
O futuro da energia nuclear no Brasil e no mundo
Authors: Oliveira de Brito Ana Luiza
Published: July 2024

Desde 1942, reatores nucleares têm sido construídos e a energia nuclear teve seu maior avanço destacado na década de 1980. Em uma linha constante de geração nuclear, essa fonte de energia enfrenta dificuldades e preconceitos para consolidação de um avanço em um cenário futuro. O presente artigo apresenta o cenário atual e as perspectivas futuras para a geração de energia nuclear no Brasil e no mundo.
Festa Junina da Travessa X
Authors: Pereira Bruno César , Gillies Ana Maria Rufino
Published: July 2024

O presente estudo caracteriza-se enquanto um ensaio que possui por objetivo analisar a Festa Junina da Travessa X, realizada no extremo-leste de Orlândia, município localizado no nordeste paulista (região do mar de cana). Nesta investigação, buscamos destacar que esse festejo, além do lazer, propicia a criação e renovação de laços como: amizade, solidariedade e vizinhança, bem como pode ser observado como um importante espaço de sociabilidade na região.
“Pagodeiras Desenfreadas”
Authors: Lima Júnior Josivaldo Bentes
Published: July 2024

Este artigo analisa os mecanismos de controle sobre os sambas em Manaus, durante o período denominado Belle Époque amazônica (1896 - 1919). Para tal, empreendeu-se uma pesquisa investigando os diferentes significados e sentidos dos sambas para a imprensa, para a polícia e, em alguma medida, para os seus apreciadores. As fontes jornalísticas evidenciam as sucessivas tentativas da imprensa em atribuir aos sambas uma conotação criminosa. Com efeito, os jornais foram instrumentos usados para denunciar à polícia os incômodos e os perigos causados por essas práticas populares de lazer, desnudando a política civilizadora das classes dominantes com intencionalidades de urbanização e modernização aos moldes europeus pelos quais passava a “Paris dos Trópicos”, em detrimento dos costumes e dos hábitos de uma população que insistia em não aceitar o projeto avassalador de mudança social.
Educação das relações étnico-raciais e formação inicial de professoras/es: questões para o currículo
Authors: Bispo Anderson da Silva
Published: July 2024

O presente artigo expressa o compromisso com a educação das relações étnico-raciais (ERER) na educação escolar, interrogando sobre a formação inicial de professoras e professores para a educação básica. A partir da experiência como professor de História no Ensino Fundamental e Médio, questionamos como ocorre a qualificação dos docentes para lidar pedagogicamente com situações de discriminação racial e para valorizar a diversidade racial e cultural presente na escola. Analisamos ementas de dois cursos de graduação de uma universidade pública do estado (Universidade de Pernambuco - UPE) que nos permitiu captar o desafio curricular destas reconstruírem-se como espaço educativo e mobilizarem forças por uma pedagogia antirracista. Considera-se, pois, que a formação de professoras/es é um dos processos formativos estratégicos sobre os quais movimentos sociais, educadoras/es antirracistas e seus aliados devem manter permanente vigília político-pedagógica em defesa da educação das relações étnico-raciais.
A New-Right e a Influência Política na Religião: Apontamentos sobre o Ativismo Religioso na Política Brasileira
Authors: Rodrigues Tulio Magalhães
Published: July 2024

A direita religiosa brasileira ganhou espaço no cenário político dos últimos anos, especialmente no segundo mandato da ex-presidente Dilma Rousseff. Suas ideias e modos de ação na política demonstraram semelhanças no modo de agir com a New-Right norte-americana, que surgiu em meados dos anos 1970. Esses traços em comum são encontrados, no campo social, na manifestação de líderes religiosos em suas residências de atuação e, na esfera política, na atuação de parlamentares que compõem a Frente Parlamentar Evangélica (FPE), em propostas como o projeto Escola Sem Partido e na promoção de intolerância às pautas de minorias. Este ensaio, com isso, tem como finalidade apresentar ideias e argumentos encontrados nestas direitas, em ambos os contextos, na percepção de uma retroalimentação ideológica entre Brasil e EUA na promoção de um ativismo religioso na política, e na leitura em que esse ativismo se coloca no cenário social como uma Religião Pública.
ENVIRONMENTAL AUDIT, AS THE MAIN TOOL FOR IMPROVING AND PROTECTING THE ENVIRONMENT
Authors:   AL-FARABI KAZAKH NATIONAL UNIVERSITY, Kyzdarbekova Asset , Nurmagambetova Azhar , Oralbayeva Zhanar , Pukała Ryszard
Published: July 2024

Environmental concerns are getting more evident in the context of establishing commercial links. In particular, the nature users themselves, governmental institutions, and private and public organizations that exert control have the challenge of determining the extent of harm done to it and the likelihood of such damage. The primary goal of the study is to clarify how, while upholding the idea of sustainable development, the environmental audit helps to preserve and improve the environment. Because of this, one of the three worldwide strategies for determining and creating the environmental audit was applied. After reviewing the pertinent and readily available domestic and international literature, conclusions about the environmental audit's influence on environmental protection and improvement were reached. The findings of the research indicate a clear link between environmental audit requirements and environmental improvement as well as pollution. The research findings will be put into practice by developing precise suggestions to minimize pollution and increase environmental protection. The study’s significance stems from the authors’ definition of the prerequisites for the creation and formulation of an environmental audit for environmental improvement and protection purposes.
FORMATION OF NATIONAL CONSCIOUSNESS AMONG YOUNG PEOPLE
Authors:   AL-FARABI KAZAKH NATIONAL UNIVERSITY, Zeinesh Merey , Aimbetova Ulbossyn , Dosmagambetova Jamila , Khalykov Kabyl
Published: July 2024

National feeling – love for the nation, compassion, the ability to appreciate the heritage of the people, recognizing their national representation. Everyone should know and respect other nations through pride in their homeland, deep love for their nation. The main means of forming natio:nal consciousness is the native language,one of the foundations of forming consciousness, which has great support in establishing the continuity of Virtue and patriotic values. Today, the education of the younger generation as a creative person with a deep understanding of the history, surname, traditions, language of their people, human culture, human qualities is a requirement of life, a necessity of society. The law of the Republic of Kazakhstan on Education defines the main positions of the state policy of comprehensive education and upbringing of the younger generation. These are: the equal right of all humanity of the Republic of Kazakhstan to education, the intellectual development of each humanity, psycho-physiological and personal characteristics, the opening of a wide path to all levels of education for the population. That is, in the law of Education, based on the right of every citizen to education, there is a need to comprehensively cover the process of training, education, development, formation of didactic conditions in the formation and education of respect for the national values of young people. For the formation of national values in young people, we should focus on the issues of national culture, traditions, folk teachings, etc. Kazakh culture is a national culture formed over the centuries. It was developed and formed on the basis of National Education. National Education is the driving force behind the development of the culture of that nation. Each people has a historical existence and spiritual experience. The educational and worldview views of the people, formed through their spiritual practices in life, we call folk pedagogy. Folk pedagogy is the cultural heritage of the people. Folk pedagogy developed and formed in connection with the (national) ethnic characteristics of that people.
Development of GWIDO: An Augmented Reality-based Mobile Application for Historical Tourism
Authors: Faisal Akbar  , Hadiyanto Hadiyanto , Catur Edi Widodo
Published: July 2024

This research aimed to design and reconstruct a business model for an augmented reality (AR) camera mobile application for historical tourism at Keraton Kasepuhan Cirebon. The goal was to utilize AR technology to provide an immersive and informative experience for tourists. The research addressed several main problems, including navigation and historical information through object tracking, by implementing an online application with features such as Indonesian and English language instructions to better serve domestic and foreign tourists. The research also aimed to investigate the benefits of using AR technology for object tracking and navigation and to explore how these aspects could be related to creating a formula that supports each other in addressing the formulated problems. Through the development of the GWIDO application, a positive impact on the development of historical tourist attractions was observed. This can be seen from the usefulness of its features such as AR navigation, which can be used as a virtual guide. The data collected was used to design and reconstruct the business model, which was implemented and tested to collect additional data for analysis. The final results of the research showed that the AR camera mobile application was effective in providing an immersive and informative experience for tourists. The redesigned business model improved the utilization of AR technology in the tourism industry. Based on the test results, the average response time for object distance between 0.1 meters to 0.5 meters was between 1.45 to 2.07 seconds, and the average time for object distance from visitors was between 3.15 to 4.71 seconds with a confidence level of 95%. Meanwhile, testing for navigation features using augmented reality is very dependent on the internet signal used on the user's device. The level of accuracy of objects that have been placed at certain coordinates is determined by how well the internet network performs, allowing objects to appear precisely according to their coordinates.
Screening for emerging chemical risks in the food chain (SCREENER)
Authors: Undas Anna Katarzyna , Escher Sylvia , Hahn Stefan , Hajslova Jana , Hrbek Vojtech , Kosek Vit , Licht Oliver , Lommen Arjen , Mol Hans , Pulkrabova Jana , Stupak Michal , Zobl Walter , Hoogenboom Ron
Published: July 2024

Abstract
In the European Union, all chemical substances that are manufactured, imported or used in tonnages equal or higher than one tonne per year must be registered under the REACH regulation. This regulatory framework requires the collection and dissemination of detailed information on the properties, uses, and potential health and environmental impacts of chemicals. However, some of these chemicals may pose emerging risks in the food chain, necessitating the development of approaches to identify and assess such risks. The SCREENER project addressed this critical issue by analysing food items for the presence of chemicals that may pose unrecognised hazards.
Building on the findings from the previous REACH 1 and REACH 2 projects, which identified a suspect list of 212 chemicals, qualitative multi‐residue high‐resolution mass spectrometry (HRMS) methods have been developed.
Diverse food items such as wheat flour, kale, carrots, potatoes, peas, strawberries, oranges, meat, hen's eggs, and trout were pooled from 3 samples each, while cow's milk, and other fish types (salmon and herring) were pooled from 4 samples each to form a single sample. This pooling procedure resulted in 194 analytical samples, which were screened for the presence of the chemicals in the suspect list.
Additionally, non‐target analysis (NTA) was performed on the same samples, focusing on detecting halogenated compounds. The aim was to detect substances potentially introduced into the food chain unintentionally through industrial and anthropogenic activities, which were previously unrecognised in the food chain.
In the final stage of the project, 15 chemicals were further prioritized for identification and quantitative analysis. Quantitative methods were developed and then applied to the same 194 samples, allowing for the identification and quantification of those chemicals. Subsequently, hazard characterization, exposure assessment, and risk characterisation were conducted. A preliminary characterization of the potential risk posed by the chemicals found in the samples during quantitative confirmatory analysis indicated no risk to human health in all but three cases where additional analysis on occurrence and detailed evaluation of the hazard can be considered as a possible follow‐up action in the future.
Development Of Interactive Multimedia Based On Google Site For English Class
Authors: Juliani Juliani , Sitompul Harun , Simbolon Naeklan
Published: July 2024

This research aims to: (1) produce interactive multimedia learning based on Google Site that is suitable for use in teaching and learning. (2) Produce practical and easy-to-learn interactive multimedia learning based on Google Site. (3) Determine the effectiveness of interactive multimedia based on Google Site. This research is a Research and Development (R&D) study using the ADDIE model. The study was conducted on 10th-grade students of State Islamic Senior High School 1 in Langkat. The method used in this model is Quasi-Experimental. The research sample consisted of 72 students, with 36 students as the experimental group taught using interactive multimedia based on Google Site and 36 students as the control group taught using picture media. The results of the study prove that there is a significant difference between the English learning outcomes of students taught using interactive multimedia based on Google Site and those taught using picture media. This is indicated by the obtained data, where the significance value obtained is 0.003. The significance value (sig) < 0.05, thus  is rejected and  is accepted. Therefore, it can be concluded that interactive multimedia based on Google Site is better than picture media.
Learning Management at Private Junior High School
Authors: Nabila Aisyah , Wijaya Candra , Rifa’i Muhammad
Published: July 2024

The researcher is interested in gaining a deeper understanding of the learning management in this school because its implementation targets Qur'an tahfidz with a focus on the quality of Qur'anic tahsin using Al-Baqry to recognize the students' learning methods. This study utilizes a case study approach, with data collection techniques including interviews, document analysis, and observation. Data analysis involves creating detailed descriptions of the case, data reduction through summarization, focusing on essential aspects, identifying themes and patterns, and eliminating unnecessary information to provide a clearer picture. The researcher then presents the data to facilitate understanding of the findings. Finally, conclusions are drawn, and data validity is ensured through credibility testing and confirmability using triangulation. The research results indicate that the lesson planning at MTTQ School Private Junior High School includes achieving learning objectives, designing lesson plans, syllabi, semester programs, and annual programs. The organization of Qur'an memorization learning utilizes all learning components, including task distribution and selecting teaching tactics. The implementation involves face-to-face small group sessions, with one mentor teacher responsible for 8-10 students. The schedule is developed by the Tahfidz supervisor, school principal, and mentor teachers, allocating 6 hours a day for Tahfidz learning, divided into 3 sessions: 1 hour for memorization, 3 hours for review, and 2 hours for additional memorization. Evaluation methods include introductory supervision, ongoing supervision, and feedback supervision.
Business cycle shocks according to the monetary approach The Turkish economy is a model for the period 2005-2021
Authors: Muhsin Hasaneen , Abdullah Ahmed
Published: July 2024

The research aims to analyze the impact of fluctuations in monetary indicators on real indicators leading to business cycle shocks in Turkey. Based on the research hypothesis that the Turkish economy is affected by real business cycle shocks, positively or negatively, and varies according to the nature of the economy and the type of shock, whether monetary or real, the interrelation and interference between variables during... The cyclical movement within the economy results in reactions between variables that affect economic activity . To achieve the hypothesis of this hypothesis, the path of the direction of monetary indicators and their fluctuations, such as money supply, interest rates, and private bank credit, was traced, and their impact on the direction of flow of real indicators, such as gross domestic product, investment, and the unemployment rate. The study concluded that fluctuations in monetary indicators cause fluctuations in real indicators, creating two business cycles in The Turkish economy. The first is the result of an external shock represented by the American financial derivatives crisis in 2008 after the opening of the Turkish economy to the outside world. The second represents an internal shock due to the decline in the value of the Turkish lira in 2018. It is also noted that the impact of these monetary shocks is unequal in the real variables of output and investment. And employing according to the extent and depth of the shock occurrence, and the extent of the independence of the monetary authority
Usos de la Inteligencia Artificial en la escritura académica: experiencias de estudiantes universitarios en 2023
Authors: Díaz-Cuevas Adriana Patricia , Rodríguez-Herrera Julián David
Published: July 2024

Este estudio exploratorio investiga la creciente integración de la Inteligencia Artificial (IA) en la escritura académica universitaria, centrado en las percepciones de los estudiantes de los Cursos Nivelatorios de Lectoescritura (CNLE) de la Universidad Nacional de Colombia. El objetivo principal es presentar las percepciones de estos estudiantes respecto al uso de la IA en la escritura académica. Mediante un estudio cualitativo con diseño fenomenológico, se recopilaron datos a través de cuestionarios administrados a 94 estudiantes y entrevistas semiestructuradas realizadas a 10 estudiantes. Los resultados ofrecen perspectivas valiosas sobre el uso de la IA en la comunicación académica y sugieren estrategias para su integración en la educación. Se observa un aumento en el uso de herramientas de IA en la escritura académica, aunque también surgen preocupaciones éticas y de calidad, especialmente en cuanto a la pérdida de autonomía y aprendizaje genuino por parte de los estudiantes. Con ello se enfatiza la importancia de equilibrar su uso con el desarrollo de habilidades de escritura y pensamiento crítico, por lo cual estas perspectivas diversas subrayan la necesidad de una reflexión continua sobre el papel de la IA en la educación.