bluuebunny/crossref_metadata_2025 huggingface dataset:
The UNIversity ACADemics Strike impact on the Physical, Socioeconomic and Psychological distress (UNIACADS-P2S): Study protocol of a cross-sectional study on factors predicting psychological distress among lecturers, students, and parent/guardians
Authors: Ewah Patrick Ayi , Womboh Idoo , Awhen Peter Agba , Dan Felicia Agbor-Obun
Published: July 2023

The ASUU strike of 2022 erupted because the government failed to implement agreements reached with the union a decade ago. As a tool to break the strength of the ranks of the members of the union during strikes, the Government withheld the scholar's salaries on grounds of no work no pay. Living without salaries for months as experienced by the striking scholars may result in many negative effects such as; inability to feed or pay rent, children dropping out of school, brain drain, inability to maintain poor health conditions, and increase morbidity/mortality. Strike persistence results in students being deprived of learned courses and lengthy stay-at-home duration. This causes worry among parents and guardians who incur extra expenses for sponsoring their idling children even during the strike. This study aims to assess the physical and psychological impact of the University academic strike on students, parents/guardians, and lecturers. The UNIversity ACADemic's Strike impact on the Physical, Socioeconomic, and Psychological distress (UNIACADS-P2S) study is a cross-sectional study that aims to investigate the determinant and associating factors of psychological distress among lecturers, students, and parents/guardians during the strike. The study will collect self-reported information from healthy subjects through online and face-to-face surveys on psychological distress (anxiety and depression), Physical activity (duration, frequency, type, and place of exercise), family income, living condition, mortality, time spent watching television, uncertainty about the future, and contemplation on changing job or leaving the country, or loss of interest in studying in public university because of the strike. The study will recruit a total of about 1000 subjects across public universities in Nigeria using a sample of convenience. The outcome of this study will provide useful insight into the factors that affect psychological distress among students, academics, and parents/guardians during university academic strikes. Which may be useful in providing a step-by-step intervention in ameliorating or preventing them before they occur. It will also provide useful suggestions from stakeholders on ways to prevent University strikes in the future.
Can Machine Learning Catch Economic Recessions Using Economic and Market Sentiments?
Authors: Tehranian Kian
Published: July 2023

Quantitative models are an important decision-making factor for policy makers and investors. Predicting an economic recession with high accuracy and reliability would be very beneficial for the society. This paper assesses machine learning technics to predict economic recessions in United States using market sentiment and economic indicators (seventy-five explanatory variables) from Jan 1986 – June 2022 on a monthly basis frequency. In order to solve the issue of missing time-series data points, Autoregressive Integrated Moving Average (ARIMA) method used to backcast explanatory variables. Analysis started with reduction in high dimensional dataset to only most important characters using Boruta algorithm, correlation matrix and solving multicollinearity issue. Afterwards, built various cross-validated models, both probability regression methods and machine learning technics, to predict recession binary outcome. The methods considered are Probit, Logit, Elastic Net, Random Forest, Gradient Boosting, and Neural Network. Lastly, discussed different model’s performance based on confusion matrix, accuracy and F1score with potential reasons for their weakness and robustness.
Rayleigh-quotient-based Data Classification Method for Machine Learning
Authors: Yuanxiu Wang
Published: July 2023

Inspired by the ability of human ears to distinguish between different kinds of music and the ability of an ancient instrument to play countless beautiful melodies, this paper proposes the Rayleigh-quotient-based data classification method, which implements data classification by selecting an appropriate eigenfunction coordinate system to represent different categories of data and making different categories of data show significant differences in the coordinate components, meanwhile, transforming the selection problem of an eigenfunction coordinate system into a design problem of physical parameters of music instruments, such as designing a non-uniform string or membrane with distributed supports. In theory, the method is based on the eigenvalue problem for Sturm-Liouville differential equation, the eigenvalue problem for functional minimization, and the generalized eigenvalue problem for matrices, which have a time-honored history and can provide strong theoretical foundation and support. In addition, each parameter in the method has a clear physical interpretation and can be adjusted under the guidance of a set of complete theory, and their influence on classification results is definite, avoiding the large time consumption due to randomly adjusting parameters. The data classification procedure is divided into 2 steps, including mass density function design and stiffness function design, which not only simplifies the process of parameter adjustment, but also enables the optimization algorithm to be implemented by the linear programming with a low computational complexity, theoretically guaranteeing a high computational efficiency. Considering the amount of data being classified is large, two kinds of algorithms are developed to implement data classification, where one is a statistical averaging algorithm and the other is an incremental iterative algorithm. Finally, by combining the image database MNIST, the Rayleigh-quotient-based data classification method is employed to build an image classifier, which is trained on the MNIST training set including 60,000 images, and is tested on the MNIST test set including 10,000 images. The classification results show that by selecting an appropriate eigenfunction coordinate system, the Rayleigh quotient distribution of each category of image can be controlled within a very narrow range, while different categories of images show significant difference in the Rayleigh quotient distribution; the classification accuracy on the MNIST training set and on the MNIST test set are stable at about 99.50%, and the maximum accuracy can reach to 100.00% on the MNIST training set and 99.76% on the MNIST test set; and the Rayleigh-quotient threshold can be selected within a very wide range, beneficial for the robustness and stability of data classification.
Health literacy in African countries: a scoping review
Authors: Ramos Neida Neto Vicente , Kielmann Karina , Martins Maria do Rosário Oliveira , Fronteira Inês
Published: July 2023

Background Despite its relevance, health literacy and its impact on health-seeking behaviour and health outcomes tends to be poorly understood, and usually not assessed or integrated with health policies, especially in African countries.Objective To map existing evidence on the health literacy of adolescents and adults in African countries and provide an overview of the instruments used.Methods We conducted a scoping review and applied the Population, Concept, and Context (PCC) framework recommended by Joanna Briggs Institute. Population - adolescents and adults; Concept - health literacy and health literacy scales; Context - African countries. We searched PubMed, Scopus, Taylor and Francis Online, and Web of Science for articles published in Portuguese, French, or English, between January 2000 to January 2020, using a composite search term, combining search terms with Boolean operators. Qualitative synthesis of results.Results Eighteen studies were included, and 12 health literacy instruments were identified: 7 were generic, 3 assessed health literacy regarding HIV, hypertension, and maternal care and 2 derived from Demographic Health Surveys. Health literacy levels tended to be poor and vary across countries, contexts, and groups.Conclusion Research on health literacy in Africa is limited and several authors have tried to adapt health literacy tools to local context and languages. Certain constraints like poor ability to understand questionnaire response items, and low levels of health literacy outcomes for both adolescents and adults are more marked in rural contexts and hard-to-reach populations. Our study confirmed that there is a lack of health literacy measurement instruments adapted to African contexts.
Analysis of an Insilico Interaction by a Curcumin Derivative Specifically Only With the Akt1 Molecule but not Akt2
Authors: VAITHYANATHAN PRAKASH
Published: July 2023

Akt1 is an important macromolecule expressed excessively in many cancers. Inhibition of Akt1 by natural compounds is always advantageous for there are fewer side effects. It is well known that curcumin modifies the behavior of AKT1/AKT2/AKT3 but a natural ligand or its derivative that interacts specifically with AKT1 is one, that will be of tremendous interest in the world of cancers. For the first time, a derivative of curcumin that interacts only with AKT1 but not AKT2 is proposed by way of bioinformatics-based verification studies. Through simulation-based analysis, this research studies the interactions of curcumin derivative with AKT1 protein and compare the same with the fda approved AKT1 inhibitor, capiversatib. The curcumin derivative’s energy was localized along with optimization using the PDB file 4EKL obtained from RCSB. The stability of the curcumin derivative’s non-bonded interactions with the AKT1 protein was studied using Desmond MD method. The affinity of the curcumin derivative’s interaction was -10.327 kcal/mol and for the fda approved molecule, Capivasertib, it was -8.339 kcal/mol. The MMGBSA value of -60.53 kcal/mol for the curcumin derivative-AKT1 complex was much better than the value of -26.65 kcal/mole for the Capivasertib-AKT1 complex. The curcumin derivative molecule did not interact with Akt2 molecule as indicated by the failure of good docking poses by the docking software. The curcumin derivative molecule was helped by hydrogen bond formations with Glu228, Ala230, Lys179, Glu278, Thr312, Tyr315 whereas for Capivasertib, the hydrogen bonds were formed at Glu234, Glu278, Glu228 and Ala230 in addition to various hydrophobic interactions for both the complexes. Molecular dynamics simulation studies confirmed the stability of the curcumin derivative molecule-Akt1 complex for the entire duration of 100 nanoseconds. Hence, the curcumin derivative molecule may target specifically the Akt1 molecule for its behavioural modification.
Challenges, Barriers, and the Underrepresentation of Black Women in Sustainable Global World Environment
Authors: Branch Edo , Kasztelnik Karina
Published: July 2023

Women make up at least 50.8% of the United States population, and 46.8% are in the professional workforce per Census Quick Facts from 2016. United States Department of Labor, n.d.). Despite making up half of the United States population, women only represent 26% of managing roles in the workforce. In the 2019 study, “Women in the Workplace 2019”, McKinsey & Company found women to still lag in corporate America in areas of salary gaps, promotions due to the broken rung, glass ceilings, lack of training and development, among other gender and racial barriers. Workplace Fairness”, a broken rung is a missing step in the “corporate ladder”, which prevents women in entry-level roles from being promoted into management. The broken rung is the more significant barrier for Black women navigating the workplace. To successfully navigate the workplace and ascend into management roles, Black women saw the need to use perseverance strategies due to underrepresentation and the influence of race and traditional privileged gendered roles. The study’s outcome addresses the challenges, barriers, and perseverance strategies Black women used to ascend into management roles. Mentorship and sponsorship are critical for helping Black women to advance within the workplace. The research study may be significant to Black women managers and future leaders. Without the critical influence of a mentor or sponsor, the Black woman will remain underrepresented in management positions. Further exploration of specific perseverance strategies and how they may have been demonstrated in their collegiate programs to prepare Black women for their professional careers.
Misconduct Impeding Good Governance in The South African Public Service
Authors: Maile Ms Kgopotso Valema , Vyas-Doorgapersad Shikha
Published: July 2023

This study aims to explore corruption as a form of misconduct recorded in the South African public service in general. The systematic analysis of literary sources and methods for addressing the misconduct issue suggests that there are reasons for the wrongdoing that impede good governance and hinder efficient public sector governance. The reasons could be socio-economic, political, and institutional. The article explicitly explores institutional reasons for misconduct in public service. This study emphasises that encouraging good governance in the South African public service would remain difficult if the everyday occurrences of wrongdoing and corruption are not properly handled, making this scientific problem decision-relevant. The investigation in the article is carried out in the following order: the conceptual framework of the South African public service is described, followed by a discussion of the contextual framework and a detailed examination of the institutional reasons for corruption. Corruption is examined as a kind of wrongdoing that may obstruct good governance in the public service. Conceptual and document analysis were the methodological tools used in the study procedures. A desktop review of the available literature and the official legislation and regulatory papers necessary for the research are included in the methodological instruments of the research procedures. Corruption as misconduct is contextually analysed using qualitative research approaches. The results show that in every organisation and department of public administration are recalcitrant elements that oppose the order of authority and policy due to differences of opinion or outlook, and if no precautionary or reactionary measures are taken, management may be compromised. The article’s conclusion makes suggestions for policy modifications and remedial actions tailored to South Africa’s circumstances. Although corruption is not a new problem, there has to be continual discussion and involvement between stakeholders in order to develop solutions that are country-specific.
Churn Rate Modeling for Telecommunication Operators Using Data Science Methods
Authors: Zatonatska Tetiana , Fareniuk Yana , Shpyrko Viktor
Published: July 2023

The telecommunication company functioned in the market with extremely high competitiveness. Attracting new customers needs 5-10 times more expenses than maintaining an existing one. As a result, effective customer churn management and analysis of the reasons for customer churn are vital tasks for telecommunication operators. As a result, predicting subscriber churn by switching on the competitors becomes very important. Data Science and machine learning create enormous opportunities for solving this task to evaluate customer satisfaction with company services, determine factors that cause disappointment, and forecast which clients are at a greater risk of abandoning and changing services suppliers. A company that implements data analysis and modelling to develop customer churn prediction models has an opportunity to improve customer churn management and increase business results. The purposes of the research are the application of machine learning models for a telecommunications company, in particular, the construction of models for predicting the user churn rate and proving that Data Science models and machine learning are high-quality and effective tools for solving the tasks of forecasting the key marketing metrics of a telecommunications company. Based on the example of Telco, the article contains the results of the implementation of various models for classification, such as logistic regression, Random Forest, SVM, and XGBoost, using Python programming language. All models are characterised by high quality (the general accuracy is over 80%). So, the paper demonstrates the feasibility and possibility of implementing the model to classify customers in the future to anticipate subscriber churn (clients who may abandon the company’s services) and minimise consumer outflow based on this. The main factors influencing customer churn are established, which is basic information for further forecasting client outflow. Customer outflow prediction models implementation will help to reduce customer churn and maintain their loyalty. The research results can be useful for optimising marketing activity of managing the outflow of consumers of companies on the telecommunication market by developing effective decisions based on data and improving the mathematical methodology of forecasting the outflow of consumers. Therefore, the study’s main theoretical and practical achievements are to develop an efficient forecasting tool for enterprises to control outflow risks and to enrich the research on data analysis and Data Science methodology to identify essential factors that determine the propensity of customers to churn.
Effect of Education on Ease of Doing Business in Conditions of Innovation Development: Factor Analysis and Multiple Regression
Authors: Samoilikova Anastasiia , Herasymenko Valeriia , Kuznyetsova Anzhela , Tumpach Milos , Ballova Martina , Savga Larisa
Published: July 2023

Education accelerates changes and transformations in social life, as well as one of the main factors of progress and development in general and business. The article substantiates and formalises the relationships between indicators of the level of education (taking into account its innovative development) and the ease of doing business based on evidence from 28 world countries and the data from the World Bank, the United Nations, Tufts University and Standard & Poor’s Ratings Services. The article aims to find indicators of innovative education that most significantly contribute to the ease of doing business. For this, cognitive analysis of statistical data is carried out, and with the help of descriptive analysis tools, a statistically significant characteristic space of indicators is formed. Checking the density and direction of the relationship is carried out by calculating the values of the Pearson correlation coefficients. The multidimensionality of input feature space is reduced to the four most significant indicators from nine investigated ones (digital development indicator; human development index; digital trust, financial literacy index) using the procedure of principal component analysis and orthogonal transformation using the Varimax method in the Statgraphics Centurion 19 software. The quality of the factorisation is confirmed by Kaiser-Meier-Olkin testing and Bartlett’s sphericity testing. As a result of the developed multiple econometric models, which describe the dependence of ease of doing business and the above indicators, and the Backward Stepwise Selection hard screening procedure in Statgraphics 19, a statistically significant model of the effect of digital development on ease of doing business is built. It shows that with the value increase of digital development by 1%, ease of doing business will also increase by 0.79%. The obtained results can be useful to scientists for further research, as well as to change-makers in education and business and all stakeholders in the direction of «business–education» competition.
Indecomposable modules for direct products of finite groups
Authors: Blau Harvey
Published: July 2023

An essentially known result is made explicit and its converse is proved, thereby showing that if $K$ is a field of prime characteristic $p$, $P$ a finite $p$-group and $H$ a finite $p'$-group, then every finitely generated indecomposable $K(P\times H)$-module is a tensor product of an indecomposable $KP$-module with an indecomposable $KH$-module if and only if either $P$ is cyclic or $K$ is a splitting field for $H$.
Embeddings of shape classes of compacta in the trivial range
Authors: Hollingsworth John , Rushing Thomas Benny
Published: July 2023

We show that for compacta $X, Y\subset R^{n},~n\geqq 5$, satisfying the small loops condition and having dimensions in the trivial range with respect to $n$, $Sh(X)=Sh(Y)$ if and only if $ R^{n}-X\approx R^{n}- Y$. As a corollary we obtain the following result whose statement is void of shape: If $X, Y\subset R^{n},~n\geqq 5$, are homeomorphic compacta satisfying the small loops condition and having dimensions in the trivial range with respect to $n$, then $ R^{n}-X\approx R^{n}-Y$.
A fractional Leibniz $q$-formula
Authors: Al-Salam Waleed , Verma Arun
Published: July 2023

In this note we give a discrete analogue, the so called $q$-analogue, of the well known fractional version of Leibniz formula, i.e., the formula which expresses the fractional integral of the product of two functions in terms of the derivatives and fractional integrals of each. Our discrete analogue is naturally suited to be applied to basic or Heine series. We give three such applications.
Monazite from lithium-bearing pegmatites of the Lipovskoye vein field, Middle Urals (composition and chemical dating)
Authors:   The Zavaritsky Institute of Geology and Geochemistry of the Ural Branch of RAS, Zakharov Anatoliy Vladimirovich , Khiller Vera Vitalʹevna ,   The Zavaritsky Institute of Geology and Geochemistry of the Ural Branch of RAS
Published: July 2023

The relevance of the research is due to the need to improve the method of chemical dating as applied to high-thorium accessory minerals, which are difficult to study by isotope research methods. Purpose of the research is to study the chemical composition of monazite from lithium-bearing granite pegmatites of the Lipovskoye vein field and to determine their age. Research methodology. The quantitative analysis of the chemical composition of monazite was performed on a CAMECA SX 100 electron probe microanalyzer (IGG UB RAS, Ekaterinburg). Measurement conditions: accelerating voltage 15 kV, current strength 250 nA, electron beam diameter 2 μm. The pressure in the sample chamber is 2 ⋅ 10–4 Pa. The spectra were obtained on tilted wave spectrometers, the intensity was measured using analytical lines: Th Ma, U Mb, Pb Ma, Y La, Si Ka, Ca Ka, P Ka, Ce La, La La, Pr Lb, Nd La, Sm Lb, Dy La, Gd Lb. Standard samples: ThO2 , UO2 , Pb2 P2 O7 , diopside, synthetic rare-earth phosphates. The intensity measurement time at the peak for Th is 180 s, U is 100 s, and Pb is 500 s (240 s on one and simultaneously 260 s on another spectrometer), for Y and Si 20 s each, for the other elements 10 s; on the background – two times less. The detection limits for Th, U, and Pb in monazite are 290, 350, and 64 ppm, respectively. The oxygen content was determined under the assumption of the stoichiometry of the composition. Results. It has been established that monazite belongs to the cerium variety and is characterized by high contents of thorium (ThO2 up to 23.6 wt. %) and uranium (UO2 up to 2.5 wt. %). At the same time, cheralite-type isomorphism is realized in phosphate. In a closed Th–U–Pb-system (β = 0.92–0.97), according to the results of chemical dating (according to 20 analyses), monazite-(Ce) shows a weighted average age of 243 ± 7 Ma. When plotting the dependence (ThO2 + UO2 eq) – PbO, the points fall on one isochrone. Calculation of the age from the slope of the isochron gave a dating of 242 ± 17 Ma, MSWD = 0.21, probability = 1.00. Conclusion. It has been established that accessory monazite from lithium-bearing granitic pegmatites of the Lipovskoye vein field (Middle Urals) is of Triassic age. Apparently, this dating shows the time of the secondary transformation of lithium-bearing granitic pegmatites, which are often tectonized, and in some places even boudinaged.
Influence of dikes in a rock mass on the stability of a mine working under the action of a gravitational-tectonic stress field
Authors:   JSC “Giprocvetmet”, Kuranov Anton Dmitrievich , Basalaeva Polina Vyacheslavovna ,   Saint Petersburg Mining University, ONUPRUIENKO Vyacheslav Sergeevich ,   Kirovsk Branch of JSC “Apatit”
Published: July 2023

The purpose of the research – to analyse the effect of a complex lithological structure on the stability of mine workings. The relevance of the work. The need to take into account complex geological structure is one of the most important factors affecting the stability of rock outcrops. By this we mean the lithological structure and the presence of lithological heterogeneities. The difference in physical and mechanical, and particularly deformation properties, between lithologic alterations and host rocks can lead to unfavorable rock pressure conditions during excavation and operation. The research’s methods. In this work, we study rock mass behavior in the presence of lithologic inhomogeneities with different characteristics using spatial numerical models. Using geological data and rating techniques, the transition from physical and mechanical properties of the sample to the properties of the massif is done. The results of the work and its area of application. The work provides an overview of the occurrence of lithological heterogeneities, and of lithology as a factor influencing the stability of mine workings. Moreover, numerical models with different physical and mechanical properties of dikes were built and analyzed and the actual section of the mine workings underlain by a monkeit dike was taken for the analysis of the influence of lithological differences on the stability of mine workings. Conclusion. The simplification and idealization of massif as a continuous medium leads to loopholes in stressstrainstate of massif
The Belle II experiment: Status and prospects
Authors: Lalwani Kavita
Published: July 2023

The Belle II experiment at the SuperKEKB energy asymmetric e^{+}e^{-}e+e− collider is a substantial upgrade of the B factory facility at the Japanese KEK laboratory. The design luminosity of the machine is 6\times10^{35}6×1035cm^{-2}s^{-1}cm−2s−1 and the Belle II experiment aims to record 50 ab^{-1}ab−1 of data, a factor of 50 more than its predecessor. With this data set, Belle II will be able to measure the Cabibbo-Kobayashi-Maskawa (CKM) matrix, the matrix elements and their phases, with unprecedented precision and explore flavor physics with BB, charmed mesons, and \tauτ leptons. Belle II has also a unique capability to search for low-mass dark matter and low-mass mediators. In this paper, we will review the status of the Belle II detector, SuperKEKB accelerator and the prospects for physics at Belle II.
CJ15 global PDF analysis with new electroweak data from the STAR and SeaQuest experiments
Authors: Park Sanghwa , Accardi Alberto , Jing Xiaoxian , Owens Joseph F.
Published: July 2023

We present updates to a recent CTEQ-Jefferson Lab (CJ) global analysis of parton distribution functions with a new set of electroweak data that provide unique access to quark flavor separation in the proton. In particular, recent WW and ZZ boson measurements from the STAR experiment at RHIC put additional constraints on light quarks and antiquarks near the valence regime. The new measurement of the Drell-Yan lepton pair production ratio in p+pp+p and p+dp+d collisions by the SeaQuest experiment at Fermilab extends the large-xx coverage of the previous E866 experiment and sheds new light on the light antiquarks distribution. In this report, the impact of these new data sets on parton distribution functions will be presented with emphasis given to the flavor asymmetry of the light antiquark sea at large values of the parton momentum xx.
Soybean testa spectral study
Authors: Bugaets Olga , Kaigorodova Elena , Zelentsov Sergey , Bugaets Natalia , Gerasimenko Evgeny , Butina Elena
Published: July 2023

The increasing production volumes of soy foods require new express methods for testing soybeans during processing and presowing. This study assessed the efficiency of spectral pre-sowing assessment methods using Vilana soybeans.

The research featured soybeans of the Vilana cultivar. The control sample consisted of untreated whole soybeans while the test samples included soybeans pretreated with various modifiers. The methods involved spectrofluorimetry and IR-Fourier spectrometry.

A wide emission band at 400–550 nm corresponded to the fluorescence of the soybean testa. The band at 560–610 nm indicated the presence of such modifiers as Imidor insecticide and Deposit fungicide. The luminescence spectrum of the untreated soybean testa was maximal at 441 nm. The luminescence spectrum of the treated soybean samples was maximal at 446.5 and 585 nm when the excitation wavelength was 362 nm. The fluorescence was studied both spectrally and kinetically to establish the maximal luminescence time and the typical vibration frequencies.

The spectral studies of Vilana soybeans before and after treatment revealed which modifiers were adsorbed on the palisade epidermis and defined the type of interaction between the modifier and the soybean. The spectrofluorimetry and IR spectroscopy proved able to provide a reliable qualitative and quantitative analysis of Vilana soybean surface.
Inovação e informação do perfil locomotor de uma equipe de futebol brasileira sub-15 em competições nacionais e internacionais
Authors: Silva José Rodrigo Maciel , Gomes Diego Viana
Published: July 2023

O futebol é um esporte de característica complexa e o desempenho dos atletas pode ser influenciado por diversas variáveis: físicas, técnicas, táticas e mentais. Nas últimas décadas, as variáveis de desempenho físico no futebol de elite foram amplamente debatidas na literatura com diversas publicações nessa temática. No entanto, o conhecimento dessas variáveis nas categorias de base ainda é pouco difundido na literatura. Dessa forma, o presente estudo tem como objetivo descrever o perfil locomotor de uma equipe de futebol de base brasileira, estratificando os resultados das variáveis e separando-os por posições desempenhadas pelos atletas com o intuito de auxiliar profissionais que atuam na formação de atletas para o futuro. Espera-se assim subsidiar a melhoria dos sistemas de informação sobre desempenho de atletas. A amostra foi constituída por 34 atletas de uma equipe Sub-15 de um mesmo clube de futebol de elite brasileiro em 13 partidas oficiais da categoria divididas entre duas competições. Os resultados não demonstraram diferenças significativas no volume total percorrido em metros pelos atletas com relação as posições em que eles desempenham na partida. Por outro lado, as distâncias percorridas em alta intensidade apresentaram diferenças significativas entre as posições.
Evolução na completude na variável raça/cor nos sistemas de informação relacionados a acidente de trabalho na Bahia
Authors: Izabela Cristina dos Santos Lima  , Samara Stefany dos Santos Silva  , Cleisla Amaral Ramos  , Cotrim Junior Dorival Fagunde , Marcela Andrade Rios
Published: July 2023

A questão da segurança no ambiente de trabalho é uma preocupação constante em todo o mundo. No entanto, a incidência de acidentes de trabalho não é uniforme entre os diferentes grupos sociais. A pesquisa tem como objetivo avaliar a completude da variável raça/cor nos sistemas de informação relacionados a acidentes de trabalho na Bahia. Trata-se de um estudo descritivo e de abordagem quantitativa, com dados secundários do Sistema de Informação sobre Mortalidade (SIM) e do Sistema de Informação sobre Agravos de Notificação (SINAN), avaliando-se a completude no registro da variável raça/cor nos óbitos por acidentes de trabalho. A completude da variável foi avaliada utilizando-se os programas de tabulação de dados de saúde (TABWIN e TABNET) do DATASUS, Secretaria de Gestão Estratégica e Participativa, Ministério da Saúde. Os resultados apresentam: foram registrados no SIM frequência de não completude menor que 5% pela variável raça/cor no período estudado, classificado como excelente. Para os demais acidentes de trabalho registrados, todos no SINAN, nenhum atingiu parâmetros excelentes. Conclui que o campo raça/cor nos sistemas de informação é importante, pois fornece subsídios para as ações de planejamento ao combate às desigualdades em saúde. Este estudo mostrou que ainda há muito a melhorar a fim de alcançar completude desses dados nos sistemas de informação de agravos.
Synthesis and Biomedical Applications of DNA Hydrogel
Authors: Zhang Qi , Lin Shiyu , Shi Junyu
Published: July 2023

Deoxyribonucleic acid (DNA), as a natural polymer material, carries almost all the genetic information
and is recognized as one of the most intelligent natural polymers. In the past 20 years, there have been many exciting
advances in the synthesis of hydrogels using DNA as the main backbone or cross-linking agent. Different methods,
such as physical entanglement and chemical cross-linking, have been developed to perform the gelation of DNA
hydrogels. The good designability, biocompatibility, designable responsiveness, biodegradability and mechanical
strength provided by DNA building blocks facilitate the application of DNA hydrogels in cytoscaffolds, drug delivery
systems, immunotherapeutic carriers, biosensors and nanozyme-protected scaffolds. This review provides an
overview of the main classification and synthesis methods of DNA hydrogels and highlights the application of DNA
hydrogel in biomedical fields. It aims to give readers a better understanding of DNA hydrogels and development
trends.
Non-destructive Machine Vision System based Rice Classification using
Ensemble Machine Learning Algorithms
Authors: Shivamurthaiah Mrutyunjaya Mathad , Kushtagi Shetra Harish Kumar
Published: July 2023

Aims and Background:

Agriculture plays a major role in the global economy, providing
food, raw materials, and jobs to billions of people and driving economic growth and poverty reduction.
Rice is the most widely consumed crop domestically, making it a particularly important crop
for rural populations. The exact number of rice varieties worldwide is difficult to determine as new
varieties are constantly being developed and marketed.

Objectives:

The most common method of rice variety identification is a comparison of its physical
and chemical properties to a reference collection of known types.

Methodology:

This is a relatively quick and cost-effective approach that can be used to accurately differentiate
between distinct varieties. In some cases, genetic testing may be used to confirm the identity
of a variety, although this technique is more expensive and time-consuming. However, we can also
utilize efficient, precise, and cost-effective digital image processing and machine vision techniques.

Results:

This study describes different types of ensemble methods, such as bagging (Decision Tree,
Random Forest, Extra Tree), boosting (AdaBoost, Gradient Boost, and XGBoost), and voting classifiers
to classify five different varieties of rice. Extreme Gradient Boosting (XGBoost) has achieved
the highest average classification accuracy of 99.60% among all the algorithms.

Conclusion:

The findings of the performance measurement indicated that the proposed model was
successful in classifying the various varieties of rice.
Design of remote temperature monitoring system tool using VHF waves based on VFC LM331
Authors: Wibawa I Made Satriya , Putra I Ketut
Published: July 2023

A remote temperature monitoring system has been designed and manufactured using VHF waves based on VFC LM331. This remote temperature monitoring system uses the IC LM35 temperature sensor. The technique used for sending data uses radio waves on VHF lines with an OOK (On-Off Keying) modulation system. So that the analogue voltage signal from the sensor can be modulated and transmitted by the transmitter, the voltage must be converted to frequency using a VFC LM331. From the results of measuring the accuracy of the design tool, it was found that the design tool worked well at a temperature of 0 oC up to 99% compared to a reference device. The range of the system that has been designed is much influenced by the frequency of the transmitter used, the more users on that frequency, the shorter the range. The farthest distance that can be reached is around 120 meters at a frequency of 80 MHz while at a frequency of 89 – 106.3 MHz it can only reach around 48 meters.
Estrategias comunitarias en la lucha por la defensa del territorio. Un analisis socioambiental de la comunidad maseualmej de Cuetzalan, Puebla, México
Authors: Castañeda Olvera José Domingo Rafael
Published: July 2023

El objetivo central de este trabajo es analizar algunos aspectos de la conflictividad socioambiental en la sierra Norte de Puebla, México frente al avance del modelo extractivista. Para ello, presentamos los resultados de una investigación teórico-documental sobre las estrategias puntuales emprendidas por la comunidad maseualmej en defensa de su territorio y de su patrimonio biocultural, haciendo uso de categorías analíticas ofrecidas por la ecología política. Acompañamos este análisis con los resultados de un estudio de carácter etnográfico al interior de la comunidad maseualmej en el pueblo de Cuetzalan, Puebla. Finalmente, concluimos que la organización comunitaria maseualmej y sus estrategias de resistencia, la autogestión del turismo en la región y el rechazo sistemático a megaproyectos extractivos han evitado el proceso de despojo territorial, mostrándose como una alternativa viable al sistema civilizatorio imperante.
Grenzeloze GeneesKunst
Authors: van Munster Barbara
Published: July 2023

Grenzeloze GeneesKunst gaat over integrale ziekenhuiszorg op maat voor oudere patiënten met meerdere chronische ziektes. Deze groep patiënten ervaart vaak ook problemen op andere domeinen, wat leidt tot kwetsbaarheid. De huidige ziekenhuiszorg is onvoldoende toereikend voor deze patiënten. Om te komen tot geïntegreerde zorg pleit Barbara Munster om 5 grenzen op te heffen. De eerste grens vraagt om aandacht voor functionele en psychosociale problemen in de ziektegerichte zorg. Het is belangrijk voor de kwaliteit om geheugenproblemen te herkennen om de behandeling af te stemmen op de mogelijkheden van patiënten met dementie. Een tijdige diagnose is ook cruciaal voor het bespreken van behandelwensen op het moment dat patiënten daartoe nog in staat zijn. De tweede grens betreft het toevoegen van niet-behandelen als waardevolle behandelkeuze. Die keuze wordt gebaseerd op de behandeldoelen en voorkeuren van de patiënt en de mogelijkheden en risicos van behandelingen. De derde grens gaat over de gefragmenteerde zorg bij patiënten met behandelaren. Het verbeteren van de zorg vereist een regiebehandelaar en multidisciplinaire beoordeling om een samenhangend behandelplan af te stemmen. De vierde grens gaat over goede communicatie en samenwerking tussen verschillende zorgorganisaties omdat zorg toenemend gecentraliseerd wordt. De vijfde grens gaat over integratie van zorg, wetenschappelijk onderzoek en beleidsontwikkeling voor zorginnovatie en het meten van de effectiviteit daarvan. Behandeling van oudere patiënten met meerdere chronische ziekten zal altijd een vorm van GeneesKunst blijven vanwege het gebrek aan solide bewijs. De toenemende zorgvraag van deze groep in combinatie met het tekort aan personeel, vereist een transitie. Patiënten, zorgverleners, wetenschappers en beleidsmakers zullen de grenzen moeten verleggen.
Brain-based learning management in primary students: Language literacy studies
Authors: Intasena Autthapon , Nuangchalerm Prasart , Srimunta Thussaneewan
Published: July 2023

Literacy is a foundational skill essential for learners as it lays the groundwork for success in education and future careers. However, some students face challenges in acquiring this ability, as transitioning from oral language acquisition to textual communication is not a simple task. Brain-based learning (BBL) is an instructional approach that capitalizes on the functioning of the brain in designing curricula, and it holds promise in addressing these challenges. The objectives of this study were twofold: 1) to develop a BBL management approach to enhance Thai students' literacy and proficiency in reading and writing skills in the Thai language, and 2) to implement this BBL management approach with Thai students. The study was conducted in two phases. In phase 1, five experts participated in evaluating the learning management approach. In phase 2, a cluster random sampling method was used to select 78 second-grade students as participants. The research employed various instruments, including teaching management materials for developing Thai language literacy and reading and writing fluency, a learning management evaluation form, pre-posttests for literacy and reading/writing fluency, and a satisfaction questionnaire. Data analysis involved calculating mean scores, standard deviations, and conducting t-tests. The findings of the study revealed that: 1) the learning management approach comprised indicators, content, learning management processes using BBL, instructional materials, and assessments, and it received a very high evaluation; 2) the developed learning management approach proved effective in improving Thai language literacy and fluency in reading and writing. The students' literacy and fluency scores were significantly higher in the posttest compared to the pretest. Moreover, students expressed a very high level of satisfaction with the learning experience provided by the developed learning management approach.
Palm oil mill effluent (POME) precipitation using ammonium-intercalated clay coagulant
Authors: Priatna Satria Jaya , Hakim Yusuf Mathiinul , Alfarizi Muhammad Afif , Sailah Siti , Mohadi Risfidian
Published: July 2023

Clay intercalation has been completed to improve coagulation ability using ammonium ions intercalant via multi-step intercalation. The intercalated clay was confirmed by Scanning Electron Microscope-Energy Dispersive Spectroscopy analysis of expanded lamellar and reduction impurities. Fourier Transform Infra-Red analysis confirmed the sharp and strong peak adsorption at 1448 cm-1 as ammonium (NH4+) bendingvibration, and X-Ray Diffraction analysis confirmed the peak shifting to smaller 2? at 10.08° as increasing basal spacing because of ammonium ion intercalated. The Palm Oil Mill Effluent (POME) coagulation was carried out using contact time and coagulant dose variations to determine the optimum conditions, reaching 45 minutes of coagulation and 0.4 g coagulant was used. Furthermore, the turbidity, free fatty acid, and total suspended solids were measured to reach the reduction values of 93%, 49.7%, and 73.7%, respectively. The reusable study of ammoniumintercalated clay confirmed the stability of the three cycles of coagulation used.
Patterns of Intonation in Central Kurdish A Study in Cognitive Phonology
Authors: Hamawand Zeki , Hasan Khoshi Anwer
Published: July 2023

The present study attempts to analyze intonation in Central Kurdish, the Sorani variety spoken in Slemani in Iraqi Kurdistan. Intonation refers to pitch fluctuations used by a speaker to express meanings. To carry out the analysis, the study embraces the theory of Cognitive Phonology. The study attempts to claim that there is a relationship between the pitch of a linguistic expression and its meaning. Accordingly, it is hypothesized that the meaning of an utterance is shaped by the particular intonation used by the speaker. The study has two aims. The first is to show that intonation, as a suprasegmental feature, is meaningful in Central Kurdish. The second is to show that using one pattern of intonation instead of another is the result of the construal dimension of perspective. As native Kurdish speakers, the researchers are being used as sources of data. One important finding is that Kurdish intonation is meaningful because using one pattern of intonation instead of another is consequential. A change in tone adds a specific tint of meaning to the utterance in spoken language.
PATIENT EXPERIENCE: Returning to sport as a student athlete with cancer (Preprint)
Authors: Howie Sophia
Published: July 2023

UNSTRUCTURED

A diagnosis of pediatric cancer is terrible for any child. For athletes, it is compounded by the treatment induced changes to our physiology, and our plans for continuing in sport. Standard recommendations for activity during and after treatment may not be adequate for our physiology, but early return can lead to injury. Those involved in cancer treatments for athletes can help guide us through this process.
Plant food in а diet, vegetarianism and kidney function
Authors: Melnyk I.I.
Published: July 2023

A vegetarian diet as a common dietary pattern in the real world is an attractive target for study. Previous studies from different years have shown that a vegetarian diet is associated with a reduced risk of chronic kidney disease progression and a reduction in the annual percentage of physiological loss of glomerular filtration rate. An interesting topic to discuss is vegetarian patients with kidney diseases, in whom we need to monitor kidney function with estimated glomerular filtration rate. In connection with their diet, it is necessary to remember that glomerular filtration rate and blood creatinine level will be low compared to those who consume a lar­ger amount of animal proteins. This is a feature of metabolism and it is related to the way of eating. Monitoring of kidney function in such patients requires reliable diagnostic markers. Here you need to know the nephrological subtleties of excretion of creatinine, urea, uric acid and cystatin C, take into account individual characteristics and use scientific justifications. In order not to miss the progression of kidney disease in vegetarian patients, it is necessary to make a comprehensive assessment of blood parameters: creatinine, urea and uric acid. An alternative to these markers is the possibi­lity of using and prescribing cystatin C to evaluate estimated glomerular filtration rate. Cystatin C would be a more reliable marker than creatinine alone. It will be at the discretion of the nephrologist depending on the situation to decide and use one of the diagnostic options for vegetarian patients.
Bericht zur wissenschaftlichen und technologischen Leistungsfähigkeit Österreichs 2020
Authors:   Rat für Forschung und Technologieentwicklung, Gadner Johannes
Published: July 2023

Der Ministerrat hat den Rat für Forschung und Technologieentwicklung im Jahr 2010 mit der Erstellung eines jährlichen Berichts zur wissenschaftlichen und technologischen Leistungsfähigkeit Österreichs beauftragt. Dieser sollte neben einer Bewertung der Innovationsperformance des heimischen FTI-Systems auch die Ergebnisse des Monitorings der Umsetzung der FTI-Strategie 2020 beinhalten. Das österreichische FTI-System weist eine im internationalen Vergleich solide Performance auf. Während sich im Vergleich zu den führenden Innovationsnationen Schweden, Finnland, Dänemark und den Niederlanden Stärken und Schwächen Österreichs in etwa die Waage halten, gibt es eine Vielzahl von Herausforderungen bei den Rahmenbedingungen für FTI, im FTI-Kernsystem sowie bei Effizienz und Effektivität von FTI-Aktivitäten. Dies ist das zentrale Ergebnis des vorliegenden Berichts des Rates.