bluuebunny/crossref_metadata_2025_split huggingface dataset:
PERFIL DOCENTE E O DESEMPENHO NO ENADE 2015 DOS CURSOS DE ADMINISTRAÇÃO E CIÊNCIAS CONTÁBEIS DO ESTADO DE SANTA CATARINA
Authors: Gripa Sidnei , Guarise Marinei Abreu Mattos , Hein Nelson 
Published: November 2023

O objetivo deste estudo foi analisar a relação entre o perfil docente e a nota contínua do ENADE dos cursos de Administração (ADM) e Ciências Contábeis (CC) das IES Catarinenses. A pesquisa classificou-se como descritiva com abordagem quantitativa, utilizando-se de dados secundários provindos do censo da educação superior. Foram coletados dados de 148 cursos que participaram do ENADE de ADM e Ciências CC no ano de 2015 e obtiveram a nota contínua. Os dados foram analisados mediante regressão linear múltipla com utilização do software SPSS v.22. Os resultados indicam que as variáveis relativas ao perfil docente como, Número de Docentes, Nota Bruta de Mestres, Nota Bruta de Doutores e Nota Bruta do Regime de Trabalho, explicam 24% e 22% na Nota Contínua do ENADE dos acadêmicos dos cursos de ADM e CC, respectivamente. Analisando os dois cursos simultaneamente, o perfil docente explica 22% na Nota Contínua do ENADE. Ao analisar os dados dos cursos individualmente e de forma simultânea observou-se não haver diferença na relação entre a Nota Bruta do Regime de Trabalho e o desempenho dos acadêmicos, apresentando uma influência negativa. Conclui-se que apesar de essas variáveis do perfil docente terem uma grande relevância para o cálculo do CPC, elas pouco influenciaram o desempenho dos alunos na Nota Contínua do ENADE.
Palavras-chave: ENADE. IES. Perfil Docente. Administração. Ciências Contábeis.

ABSTRACT
The study had the aim to analyze the relationship between the teacher profile and ENADE continuous grading of Business Administration and Accounting Sciences, Courses of the IES Santa Catarina. The survey is classified as per of the descriptive with the quantitative approach, using secondary data census stemmed from higher education. It was collecting data from 148 courses that took part in the ENADE of Business Administration and Accounting Science in the year 2015 and obtained a continuous mark. Through multiple linear regression using SPSS software v. 22, the data were analyzed. The results indicated that the variables concerning teacher profile as, Number of Teachers, master’s Gross Grade, Doctors Gross Grade, and Working hours gross grade, explains the 24% and 22% on the ENADE Continuous Grading of the students of Business Administration and Accounting Sciences Courses, respectively. After analyzing simultaneously, the two Courses, teacher profile explains the 22% of the ENADE Continuous Grading. By analyzing the data of the courses individually and simultaneously, it observed that there is no difference in the relationship between the Gross Grade of Working hours and the academic performance, showing a negative influence. It concluded that despite these variables of the teacher profile has great importance for the calculation of the CPC, they barely influenced students’ performance on the ENADE Continuous Grading.
Keywords: ENADE. HEI. Teaching Profile. Business Administration. Accounting Sciences.
Peningkatan Kemampuan Pemecahan Masalah dan Motivasi Belajar dalam Pembelajaran Tematik dengan Model Arias Pada Siswa Kelas IV SD Negeri 27 Bengkulu Tengah
Authors: Nurralita Indah Nurralita , Winarni Endang Widi , Koto Irwan Koto 
Published: November 2023

Penelitian ini bertujuan untukmendeskripsikan penerapan model ARIAS, peningkatan kemampuan pemecahan masalah, peningkatan motivasi belajarpada pembelajaran tematik siswa.Metode penelitian yang digunakan yaitu penelitian tindakan kelas (PTK). Subjek penelitian adalah Kelas IV SD Negeri 27 Bengkulu Tengah. Prosedur penelitian dengan metode siklus yakni siklus I sampai siklus III.Teknik pengumpulan data observasi, angket dan dokumentasi. Berdasarkan hasil penelitian dan pembahasannya,disimpulkan bahwa pembelajaran tematik dengan model ARIAS: (1) Dapat meningkatkan aktivitas pembelajaran siswa, (2) Meningkatkan motivasi belajar, dan (3) Meningkatkan kemampuan pemecahan masalah.
IMPLEMENTASI METODE FORWARD CHAINING DALAM PEMBUATAN SISTEM PAKAR PEMILIHAN JURUSAN KULIAH BERDASARKAN HASIL TES KEPRIBADIAN DAN KECERDASAN MAJEMUK (STUDI KASUS: CORIEN CENTER)
Authors: Andreswari Desi , Wijanarko Andang , Yolanda Gina Laxmi 
Published: November 2023

Sistem Pakar Pemilihan Jurusan Kuliah Berdasarkan Hasil Tes Kepribadian dan Kecerdaan Majemuk merupakan sebuah sistem yang dapat memberikan rekomendasi jurusan kuliah bagi siswa sesuai dengan kepribadian dan kecerdasan majemuk yang dimiliki. Kepribadian yang dimaksudkan berdasarkan teori kepribadian pada buku Psikologi Islam yang Sempurna karya dr. Raaehanul Bahrean yang mana dr. Raehanul mengambil pengetahuan dari buku Personality Plus karangan Florence Littauer. Sedangkan Kecerdasan Majemuk yang dimaksudkan merupakan teori Howard Gardner seorang psikolog dan ahli Pendidikan dari Universitas Harvard dengan judul penelitian yaitu “Frames of Mind”. Masing-masing jenis kepribadian akan dikolaborasikan dengan jenis kecerdasan majemuk sehingga menghasilkan 672 kombinasi dan akan menghasilkan 168 kelompok jurusan kuliah menggunakan metode forward chaining sebagai mesin ineferensinya. Berdasarkan hasil uji akurasi antara hasil tes manual dan tes dengan sistem untuk jenis kepribadian adalah sebesar 76,66% dan hasil tes manual dan tes dengan sistem untuk jenis kecerdasan majemuk adalah sebesar 86,66%. Dari uji akurasi terhadap 47 mahasisa dari masing-masing program studi di Universitas Bengkulu yang membandingkan antara jurusan kuliah mereka saat ini dengan rekomendasi jurusan kuliah dari jenis kepribadian dan jenis kecerdasan majemuk didapatkan hasil sebanyak 63,83% mahasiswa mengambil jurusan kuliah yang tidak sesuai dengan kepribadian dan kecerdasan majemuk mereka. Pengujian keberhasilan fungsional sistem menggunakan black box testing sebesar 100%.Kata Kunci: Sistem Pakar, Kecerdasan, Kepribadian, Kelompok Jurusan Kuliah, Forward Chaining.
Non-contrast cine cardiovascular magnetic resonance-based radiomics nomogram for predicting microvascular obstruction after reperfusion in ST-segment elevation myocardial infarction
Authors: Liu Xiaowen , Xu Ting , Peng Yongjia , Yuan Jialin , Wang Shuxing , Xu Wuyan , Gong Jingshan 
Published: November 2023

PurposeThis study aimed to develop and validate a cine cardiovascular magnetic resonance (CMR)-based radiomics nomogram model for predicting microvascular obstruction (MVO) following reperfusion in patients with ST-segment elevation myocardial infarction (STEMI).MethodsIn total, 167 consecutive STEMI patients were retrospectively enrolled. The patients were randomly divided into training and validation cohorts with a ratio of 7:3. All patients were diagnosed with myocardial infarction with or without MVO based on late gadolinium enhancement imaging. Radiomics features were extracted from the cine CMR end-diastolic volume phase of the entire left ventricular myocardium (3D volume). The least absolute shrinkage and selection operator (LASSO) regression was employed to select the features that were most relevant to the MVO; these features were then used to calculate the radiomics score (Rad-score). A combined model was developed based on independent risk factors screened using multivariate regression analysis and visualized using a nomogram. Performance was assessed using receiver operating characteristic curve, calibration curve, and decision curve analysis (DCA).ResultsThe univariate analysis of clinical features demonstrated that only cardiac troponin I (cTNI) was significantly associated with MVO. LASSO regression revealed that 12 radiomics features were strongly associated with MVO. Multivariate regression analysis indicated that cTNI and Rad-score were independent risk factors for MVO. The nomogram based on these two features achieved an area under the curve of 0.86 and 0.78 in the training and validation cohorts, respectively. Calibration curves and DCA indicated the clinical feasibility and utility of the nomogram.ConclusionsA CMR-based radiomics nomogram offers an effective means of predicting MVO without contrast agents and radiation, which could facilitate risk stratification of patients with STEMI after PCI for reperfusion.
Defect detection method for key area guided transmission line components based on knowledge distillation
Authors: Zhao Zhenbing , Lv Xuechun , Xi Yue , Miao Siyu 
Published: November 2023

Introduction: The aim of this paper is to address the problem of the limited number of defect images for both metal tools and insulators, as well as the small range of defect features.Methods: A defect detection method for key area-guided transmission line components based on knowledge distillation is proposed. First, the PGW (Prediction-Guided Weighting) module is introduced to improve the foreground target distillation region, and the distillation range is precisely concentrated in the position of the first k feature pixels with the highest quality score in the form of a mask. The feature knowledge of defects of hardware and insulators is used as the focus for the teacher network to guide the student network. Then, the GcBlock module is used to capture the relationship between the target defects of the hardware and the transmission lines in the background, and the overall relationship information of the image is used to promote the students’ network to learn the teacher’s network perception ability of the relationship information. Finally, the classification task mask and regression task mask generated by the PGW module, combined with the overall image relationship loss, form a distillation loss function for network training to improve the accuracy of students’ network detection accuracy.Results and Discussion: The effectiveness of the proposed method is verified by using self-build metal fittings and insulator defect data sets. The experimental results show that the student network mAP_50 (Mean Average Precision at 50) in the Faster R-CNN model with the knowledge distillation algorithm added in this paper increases by 8.44%, and the RetinaNet model increases by 2.6%. The Cascade R-CNN model improved by 5.28%.
Reduced grazing and changes in the area of agroforestry in Europe
Authors: Rubio-Delgado Judit , Schnabel Susanne , Burgess Paul J. , Burbi Sara 
Published: November 2023

Agroforestry integrates woody vegetation with crop and/or livestock production to benefit from the ecological and economic interactions. The objective of this paper is to systematically determine the spatial distribution of agroforestry in the EU, and changes in the areas and types of agroforestry from 2009 to 2018. This was achieved using the Land Use/Cover Area Statistical (LUCAS) dataset. Agroforestry was categorised into silvopastoral, silvoarable, agrosilvopastoral, grazed permanent crops, intercropped permanent crops and kitchen gardens systems. In our categorisation of ‘agroforestry’, sites combing trees and shrubs with understorey grass or forage were required to show evidence of grazing. In 2018, the total area of agroforestry in the EU28 was 114,621 km2 equivalent to 6.4% of the utilised agricultural area (UAA), and a majority located in the Mediterranean bioregion. Silvopastoral was the most widespread system, representing 81% of the total agroforestry area (5% of UAA), with almost a third of that area present in Spain. An initial analysis of the LUCAS data suggested that the area of agroforestry increased from 2009 to 2012, before declining from 2012 to 2018. However our subsequent analysis suggests that the area of agroforestry in 2009 was underestimated due to a mis-categorisation of some grazing areas. After making corrections, we calculated that the area of agroforestry (using the above definitions) in the EU23 (a full-time sequence for the EU28 is unavailable) declined by 47% between 2009 and 2018. This decline is primarily due to a reduction in outdoor grazing, perhaps driven by reduced livestock numbers and/or permanent livestock housing. The only agroforestry system showing an increase was kitchen gardens (7%). The paper highlights the usefulness of the LUCAS dataset for studying the extent of agroforestry in Europe, but also potential limitations in terms of the consistency of the location of data points and the categorisation of grazing. The paper also argues that although the area of within-field agroforestry may be declining, the drive towards net zero greenhouse gas emissions may be re-establishing the link between increased tree cover and food production at a farm-level.
Invariant NKT cells are more abundant in peanut-allergic adults and a subset of CD8+ iNKT cells are depleted after peanut oil exposure
Authors: Hopkins Georgina V. , Cochrane Stella , Onion David , Fairclough Lucy C. 
Published: November 2023

IntroductionPeanut allergy is one of the most prevalent food allergies globally. Currently, most research into the mechanisms involved in protein allergy focuses on the protein allergens under investigation, and information on the function of accompanying compounds, such as lipids, is scarce. Thus, this research investigates the role of peanut-associated lipids and invariant natural killer T (iNKT) cells in peanut allergy using a novel, human, in vitro assay.MethodsPBMCs from non-allergic and peanut-allergic subjects were stimulated with the glycolipid, α-Galactosylceramide (α-GalCer), over 14 days for iNKT cell expansion. Autologous dendritic cells (DCs) were stimulated with either peanut oil, the lipid-binding peanut allergen, Ara h 8, or both peanut oil and Ara h 8. The expanded iNKT cells were then immunomagnetically isolated and co-cultured for 5 h with autologous DCs, and cytokine expression was measured by flow cytometry.ResultsA 5-fold higher iNKT cell population was observed in peanut-allergic subject peripheral blood compared to non-allergic controls. In all subjects, conventional flow analysis highlighted iNKTs co-cultured with autologous α-GalCer-pulsed DCs displayed increased IL-4 and IFN-y secretion within 5 hours of co-culture. A 10-parameter unsupervised clustering analysis of iNKT phenotype found significantly more CD3+CD8+CD25+IL-4+IL-5+IL-10+IFNγ+ cells in non-allergic adults following culture with peanut oil.ConclusionFor the first time, we show iNKT cells are more abundant in peanut-allergic adults compared to non-allergic adults, and peanut lipid-exposed iNKT cells resulted in the identification of a subset of CD8+ iNKT cells which was significantly lower in peanut-allergic adults. Thus, this study proposes a role for iNKT cells and peanut allergen-associated lipids in peanut allergy.
A follow-up study of 100 patients with acute brucellosis for its prognosis and prevention
Authors: Bai Long , Ta Na , Zhao Aoning , Muren Huhe , Li Xueyong , Wang Buhe Chaolu , Bagen Hurile , Wen Yongjun 
Published: November 2023

ObjectiveTo prevent chronic brucellosis, this study analysed the changes in patient antibody titers, and the trajectories of biochemical indicators at different stages of brucellosis, identified relevant biomarkers, and explored risk factors affecting the prognosis of brucellosis patients.MethodsA prospective cohort study was conducted to follow 100 patients with acute brucellosis. Laboratory serological test results [taken with a serum (tube) agglutination test (SAT)] and biochemical parameters (liver function, renal function, and hematological system) were measured repeatedly at four-time points: 0 weeks—baseline survey, 6 weeks after the first treatment, 12 weeks after the second treatment, and 3 months after the third treatment. The changes in the antibody titres and biochemical parameters at each time point were analysed for trend changes.ResultsOne hundred patients with acute brucellosis were enrolled in this follow-up study, with 100% retention in follow-up. By the third follow-up, 21 patients had turned subacute and 11 had turned chronic. One-way repeated measures analysis of variance results showed statistically significant differences (p &lt; 0.01) across the time points for the following five indicators: alanine aminotransferase, aspartate aminotransferase, total bilirubin, serum creatinine (SCr) and platelet count. The clinical symptoms of patients in the acute stage were mainly joint pain, fatigue, and fever, while those in the chronic stage complained primarily of joint pain and fatigue. The results of multivariate logistic analysis showed that joint pain [odds ratio (OR) = 3.652, 95% confidence interval (CI) =1.379–9.672], monoarticular pain (OR = 6.356, 95% CI = 4.660–8.669), elevated SCr (OR = 15.804, 95% CI = 1.644–151.966) and elevated haemoglobin (Hb) (OR = 1.219, 95% CI = 1.065–1.736) were risk factors for poor prognosis (not cured or chronic) in patients with brucellosis.ConclusionThe trajectory of changes in patient SAT posirates and antibody titers can be used to distinguish patients with chronic brucellosis. The brucellosis is preventable and treatable, and the standard treatment can be effective in reducing the clinical symptoms of affected patients. If patients are not treated in a timely manner, joint pain, monoarticular pain, and elevated SCr are risk factors for patients who are not cured. Therefore, the treatment cycle for these patients should be extended.
Pulmonary disease detection and classification in patient respiratory audio files using long short-term memory neural networks
Authors: Zhang Pinzhi , Swaminathan Alagappan , Uddin Ahmed Abrar 
Published: November 2023

IntroductionIn order to improve the diagnostic accuracy of respiratory illnesses, our research introduces a novel methodology to precisely diagnose a subset of lung diseases using patient respiratory audio recordings. These lung diseases include Chronic Obstructive Pulmonary Disease (COPD), Upper Respiratory Tract Infections (URTI), Bronchiectasis, Pneumonia, and Bronchiolitis.MethodsOur proposed methodology trains four deep learning algorithms on an input dataset consisting of 920 patient respiratory audio files. These audio files were recorded using digital stethoscopes and comprise the Respiratory Sound Database. The four deployed models are Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), CNN ensembled with unidirectional LSTM (CNN-LSTM), and CNN ensembled with bidirectional LSTM (CNN-BLSTM).ResultsThe aforementioned models are evaluated using metrics such as accuracy, precision, recall, and F1-score. The best performing algorithm, LSTM, has an overall accuracy of 98.82% and F1-score of 0.97.DiscussionThe LSTM algorithm's extremely high predictive accuracy can be attributed to its penchant for capturing sequential patterns in time series based audio data. In summary, this algorithm is able to ingest patient audio recordings and make precise lung disease predictions in real-time.
A biological product of Bacillus amyloliquefaciens QST713 strain for promoting banana plant growth and modifying rhizosphere soil microbial diversity and community composition
Authors: Tian Libo , Zhang Wenlong , Zhou Guang-Dong , Li Shu , Wang Yongfen , Yang Baoming , Bai Tingting , Fan Huacai , He Ping , Zheng Si-Jun 
Published: November 2023

IntroductionBananas are not only an important food crop for developing countries but also a major trading fruit for tropical and semitropical regions, maintaining a huge trade volume. Fusarium wilt of banana (FWB) caused by Fusarium oxysporum f. sp. cubense is becoming a serious challenge to the banana industry globally. Biological control has the potential to offer both effective and sustainable measures for this soil-borne disease.MethodsIn order to explore the biocontrol effects of the biological agent Bacillus amyloliquefaciens QST713 strain on banana plants, two cultivars, Brazilian and Yunjiao No. 1, with varied resistance to FWB, were used in greenhouse pot experiments.ResultsResults showed that the plant height and pseudostem diameter of banana-susceptible cultivar Brazilian increased by 11.68% and 11.94%, respectively, after QST713 application, while the plant height and pseudostem diameter of resistant cultivar Yunjiao No. 1 increased by 14.87% and 12.51%, respectively. The fresh weight of the two cultivars increased by 20.66% and 36.68%, respectively, indicating that this biological agent has potential effects on plant growth. Analysis of the rhizosphere soil microbial communities of two different cultivars of banana plants showed that TR4 infection and B. amyloliquefaciens QST713 strain application significantly affected the bacterial and fungal diversity of Yunjiao No. 1, but not in the cultivar Brazilian. In addition, TR4 infection and QST713 application changed the bacterial community composition of both banana cultivars, and the fungal community composition of Yunjiao No. 1 also changed significantly. Relevance analysis indicated that the relative richness of Bacillus and Pseudomonas in the rhizosphere of both cultivars increased significantly after QST713 application, which had a good positive correlation with plant height, pseudostem girth, aboveground fresh weight, leaf length, and leaf width.DiscussionTherefore, the outcome of this study suggests that the biological agent QST713 strain has potential application in banana production for promoting plant growth and modification of soil microbial communities, particularly in the TR4-infected field.
Cognitive impairment in Chinese adult patients with type III spinal muscular atrophy without disease-modifying treatment
Authors: Hu Ying , Wei Ling , Li Aonan , Liu Tingting , Jiang Yubao , Xie Chengjuan , Wang Kai 
Published: November 2023

ObjectiveSpinal muscular atrophy (SMA) is a neurodegenerative disorder characterized by the degeneration of motor neurons in the spinal cord. It remains uncertain whether the cognitive performance of adult patients with SMA is impaired. The objective of this study was to assess the cognitive profile of adult Chinese patients with SMA and the association between clinical features and cognitive ability, particularly executive function.MethodsThis cross-sectional study included 22 untreated adult patients with type III SMA and 20 healthy subjects. The following variables were assessed: general intelligence, memory, attention, language, executive function, depression, anxiety, and other demographic and clinical parameters. In addition, physical function was evaluated using the Hammersmith Functional Motor Scale Expanded (HFMSE), the Revised Upper Limb Module (RULM), and the 6-Minute Walk Test (6MWT).ResultsSMA patients had lower scores than healthy subjects in the Verbal Fluency Test, Stroop effect, Total Errors, Perseverative Responses, Perseverative Errors, and Non-perseverative Errors in the Wisconsin Card Sorting Test, showing impaired abilities of SMA patients in executive function. In the Attention Network Test (ANT), the results indicated that the SMA patients also had selective deficits in their executive control networks. Ambulant patients had better executive function test performance than non-ambulant ones. Compromised executive abilities in patients with SMA were correlated with a younger age at onset, poorer motor function, and higher levels of anxiety and depression.ConclusionOur study presented the distribution of cognitive impairment in a Chinese cohort with SMA. Patients with type III SMA showed selective deficits in executive function, which may be associated with disease severity, physical impairment, depression and anxiety. Future cognitive studies, accounting for motor and emotional impairment, are needed to evaluate if executive impairment is driven by specific brain changes or by those confounding factors.