bluuebunny/crossref_metadata_2025_split huggingface dataset:
HUBUNGAN INTENSITAS PENCAHAYAAN DAN JARAK PENGLIHATAN DENGAN KELUHAN KELELAHAN MATA OPERATOR JAHIT
Authors: Nurhayati Itsna , Atmojo Tutug Bolet , Sari Yulia 
Published: June 2023

Lingkungan kerja memiliki faktor dan bahaya yang dapat menyebabkan ketidaknyamanan pekerja dalam melakukan pekerjaanya. Salah satu faktor yang terdapat di dalam lingkungan kerja adalah intensitas pencahayaan. Intensitas pencahayaan bergantung sifat dan jenis pekerjaan yang dilakukan. Pekerjaan menjahit merupakan jenis pekerjaan yang membutuhkan ketelitian serta menggunakan penglihatan jarak dekat, sehingga diperlukan intensitas pencahayaan yang sesuai. Ketidaksesuaian besarnya intensitas cahaya yang diterima oleh pekerja serta jarak penglihatan antara mata dengan objek kerja yang berisiko dapat menyebabkan munculnya keluhan kelelahan mata. Penelitian ini bertujuan untuk menganalisis hubungan intensitas pencahayaan dan jarak penglihatan dengan keluhan kelelahan mata operator jahit di PT X. Merupakan penelitian analitik dengan pendekatan cross sectional. Sampel berjumlah 72 pekerja yang diambil menggunakan teknik pengambilan sampel secara simple random sampling. Hasil penelitian menunjukkan p value = 0,021 untuk hubungan intensitas pencahayaan dengan keluhan kelelahan mata dan p value = 0,004 untuk hubungan jarak penglihatan dengan keluhan kelelahan mata. Dalam penelitian ini, jarak penglihatan memiliki pengaruh yang paling besar terhadap terjadinya keluhan kelelahan mata. Pekerja yang memiliki jarak penglihatan yang berisiko, memiliki kemungkinan untuk mengalami keluhan kelelahan mata sebesar 11,9 kali dibandingkan pekerja dengan jarak penglihatan yang tidak berisiko. Kesimpulan yang dapat diperoleh yaitu ada hubungan antara intensitas pencahayaan dan jarak penglihatan dengan keluhan kelelahan mata. Semakin besar ketidaksesuaian intensitas pencahayaan di tempat kerja, maka semakin tinggi keluhan kelelahan mata. Semakin berisiko jarak penglihatan pekerja, semakin tinggi keluhan kelelahan mata. Saran yang dapat diberikan yaitu dengan melakukan pengaturan jarak lampu dan melakukan istirahat mata.
ANALISIS PROGRAM PENCEGAHAN COVID-19 DI KAMPUS X JAKARTA
Authors: Listyawati Rohanita Winny , Lestari Putri Winda 
Published: June 2023

Sebuah penyakit baru telah menggemparkan seluruh dunia sejak akhir tahun 2019. Penyakit ini dikenal dengan Coronavirus Disease 2019 (Covid-19). Tujuan penelitian untuk menganalisis program pencegahan Covid-19 di Kampus X Jakarta. Penelitian menggunakan metode deskripstif kualitatif. Objek penelitian adalah program pencegahan Covid-19 (prosedur dan kebijakan perusahaan di masa Pandemi Covid-19, program edukasi, sarana dan prasarana, aturan perjalanan, serta hambatan) di Kampus X Jakarta, informan sebanyak 6 orang. Data diambil dengan wawancara mendalam dan observasi lapangan. Hasil penelitian menunjukkan bahwa Kampus X sudah cukup kooperatif dalam mengikuti arahan pemerintah dengan membentuk tim untuk melaksanakan program pencegahan Covid-19. Telah ada prosedur dan kebijakan pencegahan Covid-19, program edukasi dan sarana prasarana. Namun implementasi di lapangan masih belum maksimal. Saran agar Kampus X menyediakan sarana prasarana yang belum ada, Tim Tanggap Covid-19 melakukan pengawasan secara maksimal, meningkatkan kesadaran civitas akademik dalam melakukan pencegahan Covid-19.
Kata Kunci: Covid-19, Program pencegahan, Pandemi.
HUBUNGAN HIGIENE SANITASI DENGAN KEBERADAAN E.coli PADA MINUMAN OLAHAN DI KENDARI BEACH
Authors: Fithria Fithria , Yasnani Yasnani , Alhajar Hayatun Nufusi 
Published: June 2023

Minuman tidak hanya patut bergizi dan menarik, namun pula patut bebas berdasarkan zat berbahaya misalnya bahan kimia, mikroorganisme, dan kontaminan lainnya Penyebab terkontaminasisinya makanan oleh Escherichia coli acapkalikali terjadi lantaran sanitasi pengelolaan makanannya yang tidak memenuhi syarat kesehatan. Salah satu jenis jajanan yang relatif berisiko merupakan berdasarkan jenis minuman. Penelitian ini bertujuan mengetahui hubungan higiene dan sanitasi dengan keberadaan bakteri Escherichia coli pada minuman olahan di Kendari Beach Kota Kendari tahun 2022. Metode penelitian ini dengan penelitian kuantitatif dengan peneratan analitik observasional. Adapun desain dari penelitian ini termasuk kedalam penelitian cross sectional. Hasil penelitian ini menunjukkan dari 32 sampel minuman olahan di Kendari Beach Kota Kendari yang diuji terdapat 26 (81,2%) sampel yang ditemukan bakteri Escherichia coli dan 6 (18,8%) sampel minuman olahan tidak ditemukan Escherichia coli. Ada hubungan higiene penjamah minuman olahan dengan keberadaan bakteri Escherichia coli pada minuman olahan di Kendari Beach Kota Kendari tahun 2022 dengan p-value 0,023. Tidak ada hubungan sanitasi tempat minuman olahan dengan keberadaan bakteri Escherichia coli pada minuman olahan di Kendari Beach Kota Kendari tahun 2022 dengan p-value 0,083. Tidak ada hubungan sanitasi tempat minuman olahan dengan keberadaan bakteri Escherichia coli pada minuman olahan di Kendari Beach Kota Kendari tahun 2022 dengan p-value 0,072.
Kata kunci: Minuman Olahan, Escherichia coli, Higiene Sanitasi
Biochemical characterization of fermented Yerba Mate (Ilex paraguariensis) using Rhizopus oligosporus
Authors: Kwak So-Hyung , Kim Hayeong , Jeon Ji hyeon , Pal Kunal , Kang Dong-Hyun , Kim Doman 
Published: June 2023

Abstract
Solid-state fermentation (SSF) was used to enhance the bioactive compounds and biological properties of food materials, such as buckwheat, turmeric, and ginseng. This study was investigated the effects of SSF for up to 10 days using Rhizopus oligosporus on Yerba mate (Ilex paraguariensis St. Hilaire), which was done to enhance its biological properties. The total phenolic and saponin contents of Yerba mate rose to 19.92% and 38.04% after 1- and 7-day fermentation, respectively. Furthermore, chlorogenic acid, caffeic acid, and caffeine levels were increased up to 27.74% by fermentation, as determined by UPLC-MS analysis. ORAC and FRAP assays showed that the antioxidant activities of Yerba mate were enhanced 1.9- and 1.14-fold after 1-day fermentation. In addition, its inhibitory activities against yeast α-glucosidase and nitric oxide release in LPS-stimulated RAW264.7 cells were higher than in the unfermented Yerba mate. Moreover, taste sensory analysis using an electronic tongue sensory system showed that the flavor of Yerba mate after 1-day fermentation was similar to that of the unfermented Yerba mate. These results suggested that solid fermentation using R. oligosporus is conducive to producing Yerba mate with enhanced biological properties.
High prevalence of zero-dose children in underserved and special setting populations in Ethiopia using a generalize estimating equation and concentration index analysis
Authors: Biks Gashaw , Shiferie Fisseha , Tsegaye Dawit , Asefa Wondwossen , Alemayehu Legese , Wondie Tamiru , Zelalem Meseret , Lakew Yohannes , Belete Kidist , Gebremedhin Samson 
Published: June 2023

Abstract

Background Globally, according to the WHO/UNICEF 2021 estimates, more than 18 million children in low- and middle-income countries, primarily in Africa and South-East Asia, are not receiving any vaccinations. Ethiopia is one of the top four countries contributing to the global number of zero-dose children. Objective To estimate the prevalence of zero-dose children and associated factors in underserved populations of Ethiopia. Methods A cross-sectional vaccine coverage survey was conducted in June 2022. The study participants were mothers of children aged 12–35 months. Data were collected using the CommCare application system and later analysed using Stata version 17. Vaccination coverage was estimated using a weighted analysis approach. A generalized estimating equation model was fitted to determine the predictors of zero-dose children. An adjusted odds ratio (AOR) with 95% confidence interval (CI) and a p-value of 0.05 or less was considered statistically significant. Results The overall prevalence of zero-dose children in the study settings was 33.7% (95% CI: 34.9%, 75.7%). Developing and pastoralist regions, internally displaced peoples, newly formed regions, and conflict-affected areas had the highest prevalence of zero-dose children. Wealth index (poorest [AOR = 2.78; 95% CI: 1.70, 4.53], poorer [AOR = 1.96; 95% CI: 1.02, 3.77]), single marital status [AOR = 2.4; 95% CI: 1.7, 3.3], and maternal age (15–24 years) [AOR = 1.2; 95% CI: 1.1, 1.3] were identified as key determinant factors of zero-dose children in the study settings. Additional factors included fewer than four ANC visits [AOR = 1.3; 95% CI: 1.2, 1.4], not receiving PNC services [AOR = 2.1; 95% CI: 1.5, 3.0], unavailability of health facilities within the village [AOR = 3.7; 95% CI: 2.6, 5.4], women-headed household [AOR = 1.3; 95% CI:1.02, 1.7], low gender empowerment [AOR = 1.6; 95% CI: 1.3, 2.1], and medium gender empowerment [AOR = 1.7; 95% CI: 1.2, 2.5]. Conclusion In the study settings, the prevalence of zero-dose children is very high. Poor economic status, disempowerment of women, being unmarried, young maternal age, and underutilizing antenatal or post-natal services are the important predictors. Therefore, it is recommended to target tailored integrated and context-specific service delivery approach. Moreover, extend immunization sessions opening hours during the evening/weekend in the city administrations to meet parents’ needs.
Development of a novel colon adenocarcinoma m6A-related lncRNA pair prognostic model
Authors: Liang Shengmei , Qiu Xinze , Chen Da , Cai Lulu , Wei Fangyou , Huang Jiean , Liu Shiquan 
Published: June 2023

Abstract

Background: Colon adenocarcinoma (COAD) is among the most prevalent malignancies. N6-methyladenosine (m6A) alterations, the most prevalent RNA modification, can influence COAD progress. In addition, long noncoding RNA (lncRNA) plays an important role in COAD and is closely related to m6A modification. However, the prognostic value of lncRNAs associated to m6A in COAD is unknown.
Methods: In present study, the information from The Cancer Genome Atlas (TCGA) was employed to examine the predictive relevance of m6A-related lncRNA pair signatures in COAD. M6A-related lncRNAs was identified based on co-expression analysis utilizing the Pearson correlation. Then, the lncRNAs paired related to prognosis were identified, followed by univariate Cox regression analysis. The receiver operating characteristic (ROC) curves for predicting overall survival (OS) were conducted by using the least absolute shrinkage and selection operator (LASSO) penalized Cox analysis to identify and construct a risk score prognostic model. After determining if it was an independent prognostic factor, relationships between the risk score model and clinical traits, immune-related factors, and medication sensitivity analysis were analysed.
Results: A total of 319 m6A-related lncRNA pairs were found, and 35 of which were connected to a predictive pattern for risk scores. The risk score model was proven to be an independent predictive factor and was notably superior to the clinicopathological features. Correlation analyses revealed differences between high- and low-risk groups in clinicopathological characteristics, immune-related factors, and drug sensitivity analysis. Conclusions: The novel COAD prognostic model based on paired differentially expressed m6A-related lncRNAs showed promising clinical predictive value.
Conclusions: The novel COAD prognostic model based on paired differentially expressed m6A-related lncRNAs showed promising clinical predictive value.
The Role of L-histidine on Nickel Translocation and Antioxidant enzymes activity in Hyperaccumulator (Odontarrhena inflata) and Non-accumulator (Aurinia saxatilis) plants
Authors: Soleymanifar Soraya , Ehsanpour Ali Akbar , Ghasemi Rasoul , Schat Henk 
Published: June 2023

Abstract
Background and Aims
The role of L-histidine (L-His) in nickel (Ni) hyperaccumulation is not well known. The present study aimed to understand the impact of L-His on Ni translocation and Ni toxicity in shoots of Odontarrhena inflata and Aurinia saxatilis.
Methods
In the preliminary experiments, the Ni content of plants was quantified in pretreated plants using L-histidine and L-alanine (L-Ala) for 4 hours and then exposed to Ni for 8 hours. Hydrogen peroxide (H2O2) and activity of some antioxidant enzymes were determined after 4 hours of pretreatment using L-His and L-Ala before 48 hours Ni treatments.
Results
L-histidine increased Ni translocation to shoots in O. inflata and A. saxatilis. Ni increased the activity of POD, APX, and CAT in both species, but the higher activity of APX and CAT in O. inflata. Ni revealed a concentration-dependent increase in H2O2 content in A. saxatilis. L-His pretreatment increased H2O2 concentration in Ni-treated plants. Pretreatment with L-His decreased the activity of POD, APX, and CAT only at 300 µM Ni in O. inflata while decreasing the activity of CAT, but increased POD activity at 150 and 300 µM Ni in A. saxatilis. Pretreatment with L-Ala decreased POD and APX activity but had no significant impact on H2O2 content and CAT activity.
Conclusion
L-Histidine promoted root-to-shoot Ni translocation and alleviated Ni toxicity by inducing of antioxidant enzymes in hyperaccumulator and non-accumulator plants. The role of histidine in Ni hyperaccumulation may not be limited to Ni transport, but linked to detoxification of Ni.
LncRNA CARMN m6A Demethylation by ALKBH5 Inhibits Mutant p53-Driven Tumor Progression through miR-5683/FGF2
Authors: Zhang Yingjie , Liu Nannan , Jiang Xinxiu , Li Jiehan , Zhang Ge , Jiang Meimei , Jia Guiyun , Sun Renyuan , Zhang Lingling 
Published: June 2023

Abstract

N-methyladenosine (m6A) is the abundant RNA modification in colorectal cancer. However, the biological significance of m6A methylation of LncRNA CARMN remains unknown in colorectal cancer, especially for mutant p53 Gain-of-function. Here, we found that CARMN reduced in the colorectal cancer patients with mutant p53, due to its rich m6A methylation, which promotes cancer proliferation, invasion, and metastasisin vitroandin vivo. Deeper investigation illustrates that ALKBH5 directly demethylated m6A level of CARMN at 477 sites, which maintains CARMN with a higher expression level. However, mutant p53 binds to the promoter of ALKBH5 to prevent its transcription, results in the high level m6A methylation of CARMN, subsequently read by YTHDF2/YTHDF3 and degraded. Meantime, overexpressing CARMN significantly suppressed colorectal cancer progressionin vitro and in vivo. In addition, miR-5683 was identified as a direct downstream target of LncRNA CARMN, which plays anti-tumor effect through cooperating with CARMN to down-regulate FGF2 expression. Our study revealed the regulator and functional mechanism of CARMN in colorectal cancer with mutant p53, which may highlight a demethylation-based approach for the diagnosis and therapy of cancer.
Analysis of EEG features and study of automatic classification in first-episode and drug-naïve patients with major depressive disorder
Authors: Huang Yuanyuan , Yi Yun , Chen Qiang , Li Hehua , Feng Shixuan , Zhou Sumiao , Zhang Ziyun , Liu Chenyu , Li Junhao , Lu Qiuling , Zhang Lida , Han Wei , Wu Fengchun , Ning Yuping 
Published: June 2023

Abstract
Background: Major depressive disorder (MDD) has a high incidence and an unknown mechanism. There are no objective and sensitive indicators for clinical diagnosis.
Objective: This study explored specific electrophysiological indicators and their role in the clinical diagnosis of MDD using machine learning.
Methods: Forty patients with first-episode drug-naïve MDD and forty healthy controls (HCs) were recruited. EEG data were collected from all subjects in the resting state with eyes closed for 10 minutes. The severity of MDD was assessed by the Hamilton Depression Rating Scale (HAMD-17). Machine learning analysis was used to identify the patients with MDD.
Results: Compared to the HC group, the relative power of the low delta and theta bands was significantly higher in the right occipital region, and the relative power of the alpha band in the entire posterior occipital region was significantly lower in the MDD group. In the MDD group, the alpha band scalp functional connectivity was overall lower, while the scalp functional connectivity in the gamma band was significantly higher than that in the HC group. In the feature set of the relative power of the ROI in each band, the highest accuracy of 88.2% was achieved using the KNN classifier while using PCA feature selection. In the explanatory model using SHAP values, the top-ranking influence feature is the relative power of the alpha band in the left parietal region.
Conclusions: Our findings reveal that the abnormal EEG neural oscillations may reflect an imbalance of excitation, inhibition and hyperactivity in the cerebral cortex in patients with first-episode MDD. The relative power of the alpha band in the left parietal region is expected to be an objective electrophysiological indicator of MDD.
Amharic Political Sentiment Analysis Using Deep Learning Approaches
Authors: Alemayehu Fikirte , Meshesha Million , Abate Jemal 
Published: June 2023

Abstract
This research aims to develop a sentiment analysis system specifically designed for the Amharic language. The study employs four deep learning algorithms to achieve this goal: Convolutional Neural Network (CNN), Bidirectional Long Short-Term Memory (BiLSTM), Gated Recurrent Unit (GRU), and a combination of CNN and BiLSTM. The CNN algorithm is utilized for its effectiveness in extracting relevant features from the input data. By applying filters and pooling operations, the CNN can identify important patterns and structures within the Amharic text. The BiLSTM algorithm is chosen for its ability to process sequential information by considering both past and future contexts. It incorporates a memory cell that enables the model to retain important information and understand the dependencies between different parts of the text. Additionally, the GRU algorithm is employed as it offers similar capabilities to BiLSTM but with fewer computational requirements. This allows for more efficient processing without sacrificing performance. The experimental results obtained from the sentiment analysis system indicate that the combination of CNN and BiLSTM yields promising outcomes. The system achieved an accuracy rate of 91.60%, demonstrating its ability to correctly classify sentiments expressed in Amharic text. Furthermore, the precision rate of 90.47% indicates a high level of accuracy in identifying positive and negative sentiments, while the recall rate of 93.91% suggests that the system effectively captures relevant sentiment instances. In summary, this study successfully designs a sentiment analysis system specifically tailored for the Amharic language. By leveraging the capabilities of deep learning algorithms such as CNN, BiLSTM, and GRU, the system demonstrates strong performance in accurately classifying sentiments expressed in Amharic text, as evidenced by the achieved accuracy, precision, and recall rates.
Walking Toward Better Health: The Influence of Nordic Walking Training on Gait and Exercise Tolerance in Ischemic Heart Disease Patients
Authors: Szpala Agnieszka , Winiarski Sławomir , Kołodziej Małgorzata , Jasiński Ryszard , Lejczak Andrzej , Kałka Dariusz , Lorek Karolina , Bałchanowski Jacek , Wudarczyk Sławomir , Woźniewski Marek , Pietraszewski Bogdan 
Published: June 2023

Abstract
The research explores the impact of a 6-week Nordic Walking (NW) program on physiological and biomechanical aspects in ischemic heart disease (IHD) patients. Twelve male IHD patients (66.2 ± 5.2 years, 12.2 ± 7.5 years of disease duration) were evaluated pre- and post-training for (i) gait parameters, (ii) exercise tolerance using electrocardiographic (ECG) stress test, (iii) a 6-minute walk test (6MWT). The NW training, adhering to IHD patient guidelines, involved a 100-meter walk at a self-selected, preferred speed without sticks, with classic NW sticks and mechatronic sticks. Post-training, significant enhancements were observed in ECG stress test duration, metabolic equivalency, and 6MWT distance, irrespective of the stick type. However, no significant changes were noted in spatiotemporal parameters concerning the measured side, stick utilisation, or type. The results suggest that NW training boosts exercise capacity and refines gait mechanics in male IHD patients. However, the improvement in exercise capacity was not linked to changes in gait mechanics from NW training but rather to the movement during NW gait. Hence, the key to enhancing exercise capacity in IHD patients is the movement during NW gait, not the quality of gait mechanics.
Research on multi-attribute attentional civil aviation entity alignment based on Siamese network
Authors: Wang Jintao , Qu Jiayi , Zhao Zuyi , Dong Xiao 
Published: June 2023

Abstract
With the growth of demand for air-space integrated transportation industry, the civil aviation transportation industry plays an increasingly important role in the national economy and transportation. The diversity and diversified development of civil aviation emergencies have greatly affected the decision-making efficiency for emergencies in civil aviation emergency management system. Constructing a knowledge graph of civil aviation and improving the reliability and richness of the knowledge graph have become an urgent problem to be solved. There are some problems during the construction of civil aviation domain knowledge graph such as long entity length, existing hybrid and composite entities, similarity of the font features of domain entity names, difference of information between entities, separated coding between entities, and error prone in the transmission process of coding. So we research the construction method of knowledge graph for civil aviation emergencies to resolve these problems. (1) We propose a font pre-training model and incorporate a character feature layer into the embedding layer. (2) We propose a multi-attribute attention alignment method based on Siamese network; entities with similar structure in civil aviation knowledge base are input into the font layer for pre-training; the complete semantic information of entities and the importance of different attributes to entities are learned through two sub-networks respectively to improve the integrity of civil aviation knowledge graph. The experimental results show that, compared with other models, the F1 value of the proposed model can reach 96.97%, which verifies the feasibility of our model.