bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modifikasi Labu Kuning (Curcubita moschata) pada Permen Gummy Jelly sebagai Camilan Tinggi Vitamin A untuk Anak Stunting
Authors: Sa'adah Robi'atun Wulandari , Silvia Sinta 
Published: December 2022

Latar Belakang: Labu kuning merupakan salah satu jenis sayuran sumber vitamin A. Labu kuning dapat diolah menjadi permen gummy jelly sebagai camilan yang memiliki kandungan vitamin A yang tinggi.
Tujuan: Tujuan penelitian ini untuk menganalisis daya terima, kadar zat gizi makro dan vitamin A pada permen gummy jelly dengan modifikasi labu kuning sebagai camilan tinggi vitamin A untuk membantu memperbaiki gizi anak stunting pada masa usia sekolah.
Metode: Jenis penelitian ini yaitu eksperimental murni dengan rancangan acak lengkap (RAL). Terdapat 3 formula dengan 3 kali pengulangan, yaitu F0 (0 g labu kuning), F1 (80 g labu kuning yang terdiri dari 30 g sari labu dan 50 g puree labu), dan F2 (160 g labu kuning yang terdiri dari 60 g sari labu dan 100 g puree labu). Jumlah panelis pada penelitian ini adalah 15 orang yang terdiri dari 3 panelis terlatih dan 12 panelis semi terlatih.
Hasil: Berdasarkan uji daya terima formula yang paling disukai panelis yaitu formula F1 (30 g sari labu dan 50 g puree labu). Kandungan protein dan vitamin A pada permen per takaran saji (40 g) yaitu 20,5 g dan 37,75 mcg. Terdapat perbedaan yang signifikan pada karakteristik rasa antara F0 dan F2 (p=0,033) serta antara F1 dan F2 (p=0,007).
Kesimpulan: Formula dengan daya terima tertinggi yaitu F1. Per 40 g permen dapat mencukupi 10-15% kebutuhan protein dan vitamin A pada anak usia 7-12 tahun.
Asupan Zat Besi, Vitamin C, Pengetahuan Gizi Kaitannya dengan Kejadian Anemia Remaja Putri di Bantul, Daerah Istimewa Yogyakarta
Authors: Dewi Agil Dhiemitra Aulia , Fauzia Faurina Risca , Astuti Tri Dyah 
Published: December 2022

Latar belakang: Bantul menduduki peringkat kedua anemia di DIY. Remaja putri beresiko sepuluh kali lebih besar anemia dibandingkan remaja putra, karena setiap bulan mengalami perdarahan menstruasi, rendahnya asupan zat besi dan protein, status gizi, serta kurang pengetahuan tentang anemia defisiensi besi. Anemia remaja juga disebabkan kurangnya pengetahuan tentang asupan gizi seimbang.
Tujuan penelitian: peneliti ingin mengetahui hubungan asupan zat besi, vitamin C, status gizi, dan pengetahuan gizi terhadap anemia remaja putri di Bantul, Daerah Istimewa Yogyakarta, Indonesia.
Metode Penelitian: Penelitian observasional rancangan cross sectional. Teknik pengambilan sampel menggunakan cluster random sampling. Kluster yang terpilih acak untuk diteliti sebanyak 6 dari 17 kecamatan, yaitu Sewon, Bantul, Kasihan, Banguntapan, Jetis, dan Pundong. Di setiap kluster kecamatan terpilih 5 SMA dan 3 SMP secara acak. Penelitian dilakukan di SMP dan SMA Bantul pada remaja putri usia 13-18 tahun dari bulan Januari sampai dengan September 2022 dengan besar sampel 186 orang. Data primer terdiri dari asupan Fe, Vitamin C diperoleh dengan semi-Food Frequency Questionnaire, pengetahuan gizi dengan kuesioner, status gizi dengan pengukuran antropometri (IMT/U) dan kadar Hb dengan tes darah kapiler (rapid test). Data kemudian diuji statistik menggunakan software STATA dengan Uji Korelasi.
Hasil: Diperoleh 186 responden dengan 36 (19,35%) responden mengalami anemia, 150 (80,65%) tidak anemia. Asupan Fe rata-rata responden per hari 22,46 mg, asupan vitamin C rata-rata perhari adalah 68,84 mg, dan responden dengan pengetahuan gizi baik sebanyak 71 orang , pengetahuan kurang baik 115 orang. Asupan Fe, Vitamin C, dan Pengetahuan Gizi tidak memiliki hubungan yang signifikan dengan kejadian anemia remaja putri di Bantul, DIY.
Kesimpulan: Tidak terdapat hubungan yang signifikan antara Asupan Fe, Vitamin C, dan Pengetahuan Gizi tidak dengan kejadian anemia remaja putri di Bantul, DIY namun penting untuk diperhatikan terkait asupan Fe dan vitamin C harian remaja.
TRABALHO DE MOTOBOYS INFORMAIS E OS RISCOS À SAÚDE DURANTE A PANDEMIA DE COVID-19
Authors: Calabrez Nicole , Baracho de Alencar Maria do Carmo 
Published: December 2022

O objetivo deste estudo foi o de compreender os modos de organização e as condições de trabalho de motoboys informais de aplicativos, durante a pandemia de COVID-19. Métodos: Seleção de motoboys de aplicativos através de redes sociais, obtenção de dados pessoais, de trabalho e saúde, e realização de entrevistas via Google Meet para análise de conteúdo temática. Resultados: De 13 sujeitos, a maioria do sexo masculino (12), a maioria (9) referiu a ocorrência de sintomas similares aos da Covid-19, porém sem buscar atendimento médico e diagnóstico no período, além da necessidade de todos de terem que trabalhar para garantir o sustento da família. E destes, participaram das entrevistas 5 motoboys de ambos os sexos. Surgiram nas entrevistas: pouco reconhecimento pelo trabalho, sentimentos de revolta, indignidade e descaso diante das empresas-aplicativos, além do medo e preocupação relacionados à COVID-19, vulnerabilidade e os riscos à saúde e segurança, indicando precariedade no trabalho. Conclusão: São necessárias intervenções e melhorias das condições de trabalho, além de garantias de direitos trabalhistas.
MULHERES E O TRABALHO TERCEIRIZADO DE HIGIENIZAÇÃO E LIMPEZA NA PANDEMIA DE COVID-19
Authors: De Siqueira Brahm Maitê , Acosta de Medeiros Mara Rosange 
Published: December 2022

O presente artigo tem como objetivo analisar qual o impacto da pandemia de COVID-19 na saúde mental de trabalhadoras terceirizadas em contratos de higienização e limpeza em instituições federais de ensino (IFES) no estado do Rio Grande do Sul. Esse tipo de atividade laboral é atravessado pela precarização das relações de trabalho, o que expõe as trabalhadoras a diversas desigualdades. Para tanto, se faz uso da técnica de métodos mistos, incorporando duas etapas de coleta de dados, uma quantitativa via Google Formulários e outra qualitativa com entrevistas em profundidade via chamada de voz. Os dados apresentam uma piora na saúde mental e física das trabalhadoras de limpeza terceirizadas durante a pandemia. Também permitiram averiguar o aumento na intensidade da jornada de trabalho e o impacto da invisibilização na realidade laboral das trabalhadoras. Conclui-se que existem interesses na manutenção do trabalho feminino terceirizado, mesmo durante a pandemia de COVID-19, visto que há lucratividade para o Estado e para as empresas terceirizadas. Isso acarreta condições precarizadas e invisibilizadas de trabalho feminino na área de limpeza, ampliando os malefícios sobre a saúde das mulheres.
Charge-Sensitive Technique for Deformation Processes’ Study
Authors: Pantsialeyeu K. U. , Mikitsevich U. A. , Svistun A. I. , Vorobey R. I. , Gusev O. K. , Zharin A. L. 
Published: December 2022

Surface charge can be used as an information parameter about the change in the state of the material under the action of mechanical stresses. The aim of the work was to develop methods for studying deformation processes in metallic and polymeric materials using a charge-sensitive method.Experimental studies of deformation processes under tensile, compressive and impact loads were carried out on samples of various materials: aluminum alloy of AMg2 grade, steel of grade 08PS, high-pressure polyethylene of grade 12203-250 and samples of composite materials based on it, F4 polytetrafluoroethylene. As a research method, the analysis of changes in the relative values of the surface electron work function in the case of metals and the surface electrostatic potential in the case of polymers and composite materials is used. A scanning modification of a charge-sensitive probe is used as a measuring instrument.The results of experimental studies of materials in a stress-strain state demonstrate the high efficiency of the proposed method. The research methodology makes it possible to detect local changes in the surface potential of the material in the area of deformations, which are not detected on a macroscopic scale using standard methods. The results obtained can serve as a basis for the development of new methods and techniques for studying the mechanical properties of both metals and dielectric materials.
A federated learning approach to data sharing in a food supply chain
Authors: Gavai Anand , Bouzembrak Yamine , Mu Wenjuan , Martin Frank , Kaliyaperumal Rajaram , Soest Johan van , Choudhury Ananya , Heringa Jaap , Dekker Andre , Marvin Hans 
Published: December 2022

Abstract
Ensuring safe and healthy food is a big challenge due to the complexity of food supply chains and their vulnerability to many internal and external factors. Recent research has shown that Artificial Intelligence (AI) based algorithms, in particularly data driven Bayesian Network (BN) models, are very suitable as a tool to predict future food safety risks and hence allowing food producers to take proper actions to avoid food safety problems to occur. Such models become even more powerful when data can be used from all actors in the supply chain (e.g., farmers, food producers, authorities) but data sharing is hampered by different interests, data security & data privacy. Federated learning (FL) may circumvent these problems as demonstrated in various areas of the life sciences mainly using linear models.
In this research, a federated BN was developed for food fraud to demonstrate the potential of FL for the whole food safety domain. This concept consisted of three geographically different data stations hosting different sets of food fraud data which have been made FAIR (e.g., Findable, Accessible, Interoperable & Reusable). It is demonstrated that a BN model can be trained on the data of different data stations while the data never leaves its data station abiding security and sensitivity requirements and that this BN model performs like the BN model trained on the complete data set pulled into one data station. We demonstrated for the first time the applicability of the federated BN in food safety and anticipate that such concept may support stakeholders in the food supply chain for better decision-making regarding food safety and food fraud control.
CMTR1 promotes colorectal cancer cell growth and immune evasion by transcriptionally regulating STAT3
Authors: You Abin , Yang Hu , Lai Chunping , Lei Wen , Yang Lu , Lin Jialin , Liu Shuncui , Ding Nan , Ye Feng 
Published: December 2022

Abstract
CMTR1, also called IFN-stimulated gene 95 kDa protein (ISG95), is elevated by viral infection in a variety of cells. However, the function of CMTR1 in colorectal cancer (CRC), especially its role in tumorigenesis and immune regulation, remains unclear. Here, we first identified CMTR1 as a novel oncogene in colorectal cancer. Based on The Cancer Genome Atlas (TCGA) database exploration and human tissue microarray (TMA) analysis, we found that CMTR1 expression was markedly higher in colorectal cancer tissues compared to that in adjacent normal tissues. High CMTR1 was correlated with poor prognosis of colorectal cancer patients. Knockdown (KD) of CMTR1 significantly suppressed cell proliferation and tumorigenicity both in vitro and in vivo, whereas overexpression of CMTR1 exhibited the opposite effects. KEGG analysis revealed that the JAK/STAT signaling pathway was differentially enriched in colorectal cancer cells with CMTR1 KD. Mechanistically, repression of CMTR1 inhibited RNAPII recruitment to the transcription start site (TSS) and repression of STAT3 expression and activation. Furthermore, PD1 blockade immunotherapy was prominently enhanced with CMTR1 KD by increased infiltration of CD8+ T cells into tumor microenvironment. Overall, it appears that CMTR1 plays a key role in regulating tumor cell proliferation and antitumor immunity.
Pathogenic lymphangiogenesis promotes autoimmune valvular carditis
Authors: Osinski Victoria , Yellamilli Amritha , Firulyova Maria , Auger Jennifer , Meier Lee , Faragher Jessica , Marath Aubyn , Voeller Rochus , Zaitsev Konstantin , Binstadt Bryce 
Published: December 2022

Abstract
Rheumatic heart disease (RHD) is a major cause of valvular heart disease in developing nations. Endothelial cells (ECs) are considered crucial contributors to RHD, but greater insight into contributing mechanisms is needed. Cdh5-driven EC lineage tracing in the K/B.g7 mouse model of autoimmune valvular carditis revealed new capillary lymphatic vessels that develop from valve surface endothelial cells during the progression of disease. Human rheumatic valves contained similar lymphatics. Unsupervised clustering of mitral valve single-cell RNA sequencing data revealed lymphatic valve ECs (VECs) that express a transcriptional profile distinct from other VEC populations and upregulate genes controlling extracellular matrix composition and fibrosis during disease progression. Finally, inhibiting VEGFR3 prevented expansion of this mitral valve lymphatic network and decreased valve thickening and collagen density. These studies reveal a novel form of postnatal pathogenic lymphangiogenesis that promotes autoimmune valvular carditis.
Aligning Asset Pricing Models and Neural Networks for Predicting Portfolio Returns in Frontier Markets
Authors: Jan Muhammad Naveed , Tahir Muhamma , Shariq Muhammad , Asif Muhammad 
Published: December 2022

AbstractForecasting Portfolio returns is a challenging task, and conventional forecasting models have partially succeeded in dealing with the nonlinear and complex nature of Equity Markets. Artificial neural networks are a mathematical modelling approach that are resilient enough to forecast portfolio returns in volatile and nonvolatile markets and act like the human brain to simulate the behaviour of stock prices. This research documents the predictive ability of Artificial Neural Networks (ANN) by using the constructs of Fama and French three-factor and five-factor models. A comprehensive methodology of neural networks is applied to achieve the purpose of forecasting. The methodology includes the declaration of the three layers, the hidden layer neurons for processing, and varying parameters for an effective ANN system. The study employs 48-month rolling windows to calculate and compare forecasting errors among competing asset pricing models. The predictive performance of ANN is measured by mean squared, and the accuracy of ANNs under both the pricing models and the accuracy level is evaluated by the Diebold Mariano test. The significant findings of the study include the identification of the optimum architecture of the ANN under both asset pricing models, the nonappearance of the overfitting phenomenon of the networks, and the investor’s compensation for holding high-risk portfolios.JEL Classification:C45, D53, E37, G11, G17
A geometrical approach to g-digroups
Authors: Gaviria Isaías David Marín , Rodríguez-Nieto José Gregorio , Salazar-Díaz Olga Patricia , Velásquez Raúl 
Published: December 2022

Abstract
Representation group theory plays an important role in group theory, much more in geometry, on which we can determine, in many cases, what kind of geometry or geometries a manifold M supports by knowing a faithful representation of the fundamental group Π1(M) in the group Iso + (M) of preserving-orientations isometries of M. Motivated by this and by the definition of a g-digroup action given in [1], in this paper we present a study of such action by proving some interesting results that are well known in group actions, for example: the orbit stabilizer theorem, the class equation, Burnside’s formula and we relate g-digroup actions with trioids. We introduce the definition of representation of a g-digroup into dialge-bras and a strong connection with g-digroup action, like in the case of group. We present the g-digroups as an invariant of quotient orbifolds.
Structure optimization of guide vane on combustion performance of premixed H 2 /air in micro cavity-combustor
Authors: Kim Insong , Yu Qingbo , Pak Unsong , Thae Wonhyok , Yu Kisong 
Published: December 2022

Abstract
The application of the cavity-combustor in the micro-combustion is one proposal to stabilize the flame and improve the combustion performance. The structure of the guide vane is an important factor of enhancing the effectiveness of the cavity, which is a key part of the cavity-combustor. Based on previous studies on the micro cavity-combustor with guide vanes, numerical analysis was performed on the effects of the shape of the guide vane on the combustion characteristics of the premixed H2/air. The investigation and comparison were conducted for the micro cavity-combustor with slash-shape guide vanes (CCSG) and L-shape guide vanes (CCLG) under different inlet velocities (6–24 m/s) and equivalence ratios (0.6–1.5). The analysis results show that CCSG has better flame stability and combustion performance compared to CCLG. A multi-objective optimization method for the guide vane structure of the combustor was proposed and the optimum parameters were obtained by applying it to the CCSG. The length of the guide vane (L3) and the vertical distance between the guide vane and the wall (S) were used as parameters, and the problem of minimizing the combustion efficiency and total pressure loss in the combustor was set. The relationship between the structural parameters of the guide vanes and the combustion performance in the combustor was modeled using the BP (back propagation) neural network. The validation of optimization was verified through comparative analysis of the original structure (L3 = 0.5 mm, S = 0.15 mm) and the optimum structure (L3 = 0.5324 mm, S = 0.3834 mm).
An efficient approach to attribute reductions of quantitative dominance-based neighborhood rough sets based on graded information granules
Authors: Yang Shuyun , Shi Guang 
Published: December 2022

Abstract

Lower approximations of quantitative dominance-based neighborhood rough sets aim at improving consistency of dominance principles by filtering inapparent pairs of objects with the predefined threshold. To reflect dominance principles intuitively, in this paper we define generalized decisions from the perspective of certain decision rules in quantitative dominance-based neighborhood rough sets. On the basis, a graded information granule is constructed, which partitions the universe. Furthermore, properties of the graded information granule are analyzed and relationship with approximating qualities is studied. Moreover, importance degree is defined to measure uncertainties of graded information granules under different attributes, which holds the property of monotonicity with respect to attributes. Then an attribute reduction method is designed and an accelerated process is studied by updating generalized decisions. Finally, we employ some public data sets to evaluate the performance of our methodology on efficiency of attribute reductions by comparing executing time with the classical method. Also structures of graded information granules can be revealed with various parameters.
Association of NFKB1 gene polymorphism (rs28362491)with cardiometabolic risk factor in patients undergoing coronary angiography
Authors: Darabi Zahra , Jambarsang Sara , Mehrjardi Mohammad Yahya Mohammad Yahya Vahidi , Hosseini Seyed mostafa Seyed , Sarebanhassanabadi Mohammadtaghi , Hosseinzadeh Mahdieh , Beigrezaei Sara , Vasmehjani Azam Ahmadi , Taftian Marzieh , Arabi Vahid , Motallaei Maryam , yazdi Faezeh Golvardi , Salehi-Abargouei Amin , Najarzadeh Azadeh 
Published: December 2022

Abstract
Background: In the world, the main cause of mortality and morbidity is cardiovascular diseases (CVDs). Genetic and environmental factors are involved in the pathogenesis of diseases. Recently, reports have indicated that the NFKB1 gene rs28362491 is a functional polymorphism. The aim of the study was to investigate between the genotype of the NFKB1 gene and the cardiometabolic risk factor in patients undergoing coronary angiography.
Methods and materials: This cross-sectional study was conducted on 462 patients who referred to Afshar Hospital for coronary angiography in 2021-2022. The polymerase chain reaction restriction fragment length polymorphism method was used to detect the genotype of rs28362491. Biochemical parameters were measured using commercial kits. Gensini and Syntax scores were calculated using the angiography result to assess the extent of coronary artery stenosis. Multivariate logistic regression analysis was used to study between cardiometabolic risk factors and genotype variants.
Results: The frequencies of the ins/ins, ins/del and del/del genotypes were 31.7%, 52.9% and 18.5%, respectively. Variant genotypes were not associated with the likelihood of having abnormally high serum alanine aminotransferase (ALT) (p-value = 0.51), aspartate aminotransferase (AST) (p-value = 0.99), Gensini score (p-value = 0.48) and syntax score (p-value = 0.74) in the crude model even after adjustment for confounding factors. There was no association between NFKB1 gene genotypes and possible hypertension and lipid profile.
Conclusion: The ATTG polymorphism was not associated with cardiometabolic risk factors in the patients undergoing coronary angiography. Further investigations are needed to assess the association between variants of 28362491 and cardiometabolic markers.
Depression and associated factors among type 2 DM patients in Bahir Dar Public Hospitals, Bahir Dar: Cross sectional study
Authors: Zewdu Dagmawit , Lidetu Tadios 
Published: December 2022

Abstract
Objective: The rising disease burden of diabetes mellitus globally is a major public health priority. Depressive disorder is also one of the common and overwhelming complication among people with type 2 diabetes mellitus, which results increase in the number of diabetic complications. Therefore, this study aimed to identify prevalence and associated factors of depression among type 2 diabetes patients.
Result: Institutional based cross-sectional study was employed among 575 individuals with type 2 diabetes mellites in Bahir Dar public hospitals from March 01- to April-01. Systematic random sampling method was employed to select participants. Patient Health Questionnaire-9 tool was used for assessing depression. For analysis, descriptive statistics and binary logistic regression models were used. The prevalence of depression was 41.39 %, (95% CI; 37-45). Poor sleep quality, poor social support, having irregular follow up, and low physical activity were factors significantly associated with depression among individuals with type 2 diabetes melilites. Promoting social support at any aspect of health care service is important to minimize depression. Moderate regular physical exercise is also needed to improve the overall mental health and depression.