bluuebunny/crossref_metadata_2025_split 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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
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.
Synthesis and Biomedical Applications of DNA Hydrogel
Authors: Zhang Qi , Lin Shiyu , Shi Junyu 
Published: July 2023

Abstract:
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.
Pengaruh Strategi Pembelajaran, Gaya Belajar, Disiplin Belajar, Lingkungan Keluarga Dan Fasilitas Belajar Di Sekolah Terhadap Prestasi Belajar Mata Pelajaran Ekonomi Kelas Xi Ips Di Sman 1 Sawahlunto
Authors: Maharani Cici - , Wahyuni Sri , Stevani Stevani 
Published: July 2023

Abstrack This study aims to analyze: 1) the influence of learning strategies on economic learning achievement of class XI social studies at SMA N 1 Sawahlunto, 2) the influence of learning styles on the achievement of learning economics class XI social studies at SMA N 1 Sawahlunto, 3) the influence of learning discipline on economic learning achievements of class XI social studies at SMA N 1 Sawahlunto, 4) the influence of the family environment on the achievement of learning economics class XI social studies at SMA N 1 Sawahlunto, 5) the influence of learning facilities on the achievement of learning economics class XI social studies at SMA N 1 Sawahlunto.This type of research is descriptive and associative. The population in this study was all students of class XI social studies at SMA N 1 Sawahlunto The sample was 51 people with a sampling technique in the form of proportional random sampling with the Slovin formula. The instruments used for this study were in the form of a closed questionnaire with multiple linear regression analysis tests and hypothesesy tests with t testsThe results of the study were (1) Based on the research, the results of learning strategies (X1) affected student learning achievement (Y) with a learning strategy regression coefficient value of 0.152 and a calculated value of 2.533> ttabel of 1.679 while the significance value of 0.015<005, means that Ha was accepted and H0 was rejected. (2) Based on the study, the results of the learning style (X2) affected student learning achievement (Y) with a learning style regression coefficient value of 0.237 and a calculated value of 2.943> ttabel of 1.679 while the significance value of 0.005<0.05, means that Ha was accepted and H0 was rejected. (3) Based on research, the results of learning discipline (X3) have an effect on student learning achievement (Y) with a learning discipline regression coefficient value of 0.098 and a calculated value of 2.071.071.> ttabel of 1.679 while the significance value of 0.044<005, means that Ha is accepted and H0 is rejected. . (4) Based on the research obtained, the results of the family environment (X4) affect student learning achievement (Y) with a family environment regression coefficient value of 0.096 and a calculated value of 2.302> ttabel of 1.679 while the significance value of 0.026<0.05, means ha is accepted and H0 is rejected. (5) Based on the research obtained, the results of learning facilities in schools (X5) affect student learning achievement (Y) with a regression coefficient value of learning facilities in schools of 0.080 and a calculated value of 2.090> ttabel of 1.679 while the significance value of 0.042<005, means ha is accepted and H0 is rejected. Keywords: Learning Strategies, Learning Styles, Learning Disciplines, Family Environment, Learning Facilities In Schools Towards Student Learning Achievement.
Pengaruh Model Pembelajaran Blended Learning Dan Disiplin Belajar Terhadap Hasil Belajar Siswa Di Masa Pandemi Pada Mata Pelajaran Ekonomi SMA N 16 Padang
Authors: Falinda Nikhen , Ronal Jimmi , Desrirosya Nilma 
Published: July 2023

This research is motivated by the teaching and learning process is still conventional so that it makes it difficult for students to understand Economics lessons because the material is abstract. This study aims to determine the effect of learning outcomes after using the blended learning model and student learning discipline. This type of research is quantitative. The study was conducted at SMA N 16 Padang with a population of 154 and a sample of 76 students consisting of 37 students in the experimental class and 39 students in the control class. The research instrument was conducted through the distribution of questionnaires and tests. The data analysis techniques used are validity test, reliability test, level of difficulty, discriminatory power, normality test, homogeneity test and two-way anova test. The study found that: First, students who were taught using the Blended learning model had significantly higher learning outcomes compared to students who were taught through conventional methods.Second, students with high learning discipline have significantly higher learning outcomes than students with low learning discipline. Third, there is no interaction between the blended learning model and discipline on the learning outcomes of class XI students at SMA N 16 Padang. The results of the two-way anova calculation for testing the third hypothesis are shown in the table above, the sig level value is obtained. = 0.100, this means that the value of sig. is greater than the value of = 0.05 (sig < ) then H0 is accepted. Ha is rejected, so there is no interaction between blended learning models and learning disciplines on student learning outcomes in economics subjects for class XI SMA N 16 Padang. Keywords: Blended Learning, Learning Disciplines, Learning Outcomes
Pengaruh Pemanfaatan Waktu Luang, Perhatian Orang Tua, Pemberian Reward, Fasilitas Belajar, Kemampuan Berpikir Kritis, Terhadap Prestasi Belajar Siswa Kelas VIII Pada Mata Pelajaran IPS Terpadu di SMP Negeri 1 Sitiung
Authors: Gusmala Ninin , Jolianis Jolianis , Amelia Mona 
Published: July 2023

This study aims to determine the effect of the use of free time , parental attention , giving rewards , learning facilities , critical thinking skills , on the learning achievement of class VIII students in integrated social studies subjects at SMP N 1 Sitiung . This type of research is descriptive associative. The population is 229 people . The sample is 100 people. The instrument used is a closed questionnaire. To determine the effect of the use of free time, parental attention, reward, learning facilities, critical thinking skills partially and simultaneously t test and F test are used. The results of data analysis show that (1) There is a significant effect between the use of free time on learning achievement. VIII grade students of SMPN 1 Sitiung, with a score of 5,510 (2) There is a significant influence between parental attention on the learning achievement of class VIII students of SMPN 1 Sitiung, with a tcount of 6,624 (3) There is a significant influence between giving rewards to class VIII students' learning achievement SMPN 1 Sitiung, with thining 3,147 (4) There is a significant influence between learning facilities on student achievement in class VIII SMPN 1 Sitiung, with tinne 4,533 (5) There is a significant influence between critical thinking skills on student achievement in class VIII SMPN 1 Sitiung , with tcount 4.109 ( 6 ) There is an effect yes There is a significant relationship between the use of free time, parental attention, giving rewards, learning facilities, critical thinking skills on the learning achievement of class VIII students of SMPN 1 Sitiung, with Fcount 91,141. The amount of use of free time, parental attention, reward, learning facilities, critical thinking skills on student achievement of class VIII SMPN 1 Sitiung is 82.9% and the remaining 17.1% is influenced by other factors not included in this study. Keywords : utilization of free time, parental attention, rewarding, learning facilities, critical thinking skills on learning achievement .
The (Exit) Price of a Horse: Finding the Fair Value of an Unusual Nonfinancial Asset
Authors: Altiero Elizabeth C. , Libby Theresa , Olczak Wioleta 
Published: July 2023

ABSTRACT
Students are placed in the role of a new employee in the mergers and acquisitions division of a regional accounting firm performing due diligence on a potential acquisition target for their client. Their task is to determine the fair value of a group of unusual nonfinancial assets, the horses owned by the target company, an equine training business. Students evaluate the horse’s highest and best use, identify market participant assumptions, create valuation models, determine the exit price, and perform a sensitivity analysis. Appendix A describes the equine industry and provides a source for many of the necessary valuation assumptions. This case study is complementary to cases where students calculate fair values in more traditional settings and is designed to push them outside their comfort zone while emphasizing that the same familiar concepts apply. The case is recommended for use in advanced financial accounting courses at the undergraduate or master’s levels.
JEL Classifications: M41.