bluuebunny/crossref_metadata_2025_split huggingface dataset:
Breast Implant Illness Syndrome(BII): análise estatística envolvendo 167 mulheres
Authors: Pinto Maria Eduarda Guelfi , Guimarães Bruna Marcella Silva , Laurindo Lucas Fornari , Teixeira Daniel De Bortoli 
Published: February 2023

A síndrome Breast Implant Illness (BII), popularmente conhecida como a doença do silicone, constitui de uma série de sintomas físicos e psicológicos incapacitantes e angustiantes. Dessa forma, o objetivo do presente artigo é verificar se a mulheres com a prótese apresentaram algum sintoma característicos da síndrome BII, se possuíam histórico familiar com algum sintoma característico da BII antes da colocação da prótese e, investigar a existência de associação entre faixa etária, técnica de cirurgia utilizada na colocação da prótese e volume dela, com variáveis sociodemográficas e se as pacientes foram informadas que poderiam desenvolver BII. Trata-se de um estudo primário transversal, qualitativo e descritivo com uma amostra de 167 mulheres. O resultado foi que houve significância estatística entre técnica utilizada (p= 0,024) com a variável motivo da cirurgia, entre o volume da prótese (p=0,024) e outra significância estatística foi encontrada na pergunta se foi informada que poderia desenvolver a BII (p=0,008) com a variável faixa etária. Para concluir o estudo mostrou que nas mulheres analisadas que apresentaram sintomas característicos da BII, foi observado que no histórico familiar possuía algum sintoma característico da BII, quanto ao volume da prótese notou-se que as mulheres com maiores volumes realizaram a cirurgia por questões estéticas, a técnica cirúrgica subglandular foi a mais utilizada em mulheres cujo motivo da realização era doença. A faixa etária que mais realizou cirurgia foram as adultas e as adolescentes foram o grupo etário mais informado sobre a possibilidade de desenvolvimento de BII do que as adultas.
Effective Breast Cancer Detection using Novel Deep Learning Algorithm
Authors: Buyung Irawadi , Munir Agus Qomaruddin , Wanda Putra 
Published: February 2023

Ultrasound is one of the most common screening tools for breast cancer detection. However, the lack of qualified radiologists causes the diagnosis process to become a challenging task. Deep learning's promising achievement in various computer vision problems inspires us to apply the technology to medical image recognition problems. We propose a detection model based on the Rapid-CNN to detect breast cancer quickly and accurately. We conduct this experiment by collecting breast cancer datasets, pre-processing, training models, and evaluating the model performance. This model can detect breast cancer with bounding boxes based on the experiment result. In this model, it is possible to detect the bounding box that is more than what it should be, so we applied NMS to eliminate the prediction of the bounding box that is less precise to increase accuracy.
Aplikasi Monitoring kesehatan karyawan dan dosen untuk mencegah penyebaran Covid-19.
Authors: PURNOMO EKO 
Published: February 2023

Mulai tahun 2019 dunia dilanda pandemic covid-19 termasuk Indonesia. Trend terkonfirmasi positif terus meningkat hingga awal januari 2021. Penyebaran cluster di tempat kerja termasuk salah satunya yang mendominasi, dimana banyak berkumpul pekerja dari berbagai daerah sehingga berpotensi menjadi pusat penyebaran, maka hal ini jika tidak dikendalikan penyebaran akan semakin massif. Pencegahan dan pengendalian ditempat kerja dapat dilakukan dengan memonitoring kesehatan karyawan setiap hari guna mengetahui tindakan yang harus dilakukan. Monitoring kesehatan karyawan dengan cara mengetahui riwayat perjalanan, kondisi tubuh, dan penyakit penyerta. Monitoring kesehatan karyawan ini dapat memanfaatkan teknologi informasi melalui Aplikasi berbasis WEB dan internet. Aplikasi ini digunakan oleh dosen dan karyawan, aplikasi sudah menyediakan pertanyaan-pertanyaan pilihan tentang kondisi kesehatan terkait gejala covid, riwayat berpergian, paparan dan penyakit penyerta. Pertanyaan akan dibuat sesingkat mungkin dan Jawaban dari masing masing pertanyaan hanya terdapat 2 pilihan yaitu (“YA” dan “TIDAK”) sehingga tidak akan terlalu banyak memakan waktu untuk melakukan pengisiannya dengan harapan semua karyawan dpat melakukan pengisian secar konsisten.
CLUSTERING LOYALITAS PELANGGAN DENGAN MODEL RFM (REFENCY, FREQUENCY, MONETARY) DAN METODE K-MEANS BERBASIS MEDIAN
Authors: Supriadi Ahmad , Sukron Moh. , Faid Mochammad 
Published: February 2023

Data loyalitas pelanggan dalam dunia jual beli selalu bertambah seiring dengan berjalannya waktu. Perkembangan teknologi yang sangat pesat dalam dunia bisnis perdagangan menjadi arah perubahan yang sangat signifikan dalam proses transaksi jual beli dengan pemanfaatan tekonologi proses transaksi penjualan dapat dijadikan sebuah sekumpulan data besar dan melimpah, Hal ini berpeluang untuk dapat dilakukan proses pengolahan data sehingga akan didapat sebuah informasi yang bermanfaat. Informasi tersebut seperti mengenai pengelompokan data pelanggan yang memiliki loyalitas tinggi sehingga pihak unit usaha terkait dapat memberikan reward pada pelanggan yang memiliki tingkat loyalitas tinggi. Untuk mengetahui hal tersebut, dilakukan pengujian model dengan menggunakan metode k-means dengan pemilihan pusat klaster awal berbasis median, hasil eksperimen dengan model tersebut dapat menghasilkan kualitas klaster yang lebih baik karena dengan pemilihan pusat klaster awal berbasis median tidak terjadi klaster kosong. Klaster yang dihasilan yaitu pada cluster pertama 133 cluster Kedua 30 dan cluster ketiga 208 sedangkan cluster keempat 129 dengan nilai DBI 0,694. Sedangkan metode k-mmeans dengan pemilihan pusat klaster standart didalam experimen ini menggunakan tool rapidminer didapat cluster pertama 310 cluster Kedua 19 dan cluster ketiga 37 sedangkan cluster keempat 134 dengan nilai DBI 0,807.
Implementasi Algoritma C4.5 Untuk Memprediksi Kesesuaian Gaya Belajar Siswa Sekolah Dasar
Authors: Sudriyanto Sudriyanto , Listrianti Feriska , Jamal Jamal 
Published: February 2023

Data Mining adalah proses mengekstraksi dan menemukan pola dalam kumpulan data besar yang melibatkan metode dalam proses pembelajaran mesin, statistik, dan sistem basis data. SD Negeri Sidodadi Paiton merupakan sekolah dasar yang terletak di desa Sidodadi kecamatan paiton. Pada proses pembelajaran di SD Negeri Sidodadi, masih banyak murid yang tidak fokus dan tidak memiliki kemauan untuk belajar, kemungkinan terbesar adalah ketidak cocokan gaya belajar dan metode belajar guru tersebut. Oleh karenanya, penulis melakukan analisis data mining terhadap data murid dan kepribadiannya agar data tersebut dapat berubah menjadi informasi yang bermanfaat bagi lembaga. Informasi ini bisa membantu untuk meningkatkan proses belajar mengajar di SD Negeri Sidodadi Paiton. Penulis menggunakan hasil data quisioner terhadap siswa kelas 4, 5 dan 6 sebanyak 165 data siswa-siswi yang telah penulis sajikan. Dalam proses analisis ini, penulis menggunakan tools Rapiminer Studio. Metode yang digunakan decision tree dengan algoritma C4.5. Hasil prediksi menggunakan algoritma decision tree C4.5 dengan hasil 8 rules. Persentasi hasil akurasi decision tree dengan menggunakan menggunakan 10 Fold Cross Validation membuktikan bahwa tingkat akurasinya sebesar 81.18%. dengan nilai class precission untuk prediksi kinestetik sebesar 85.43%, prediksi visual sebesar 33.33%, dan prediksi auditorial sebesar 0.00%, hasil 5 Fold Cross Validation akurasinya sebesar 82.27%. dengan nilai class precission untuk prediksi kinestetik sebesar 86.09%, prediksi visual sebesar 41.67%, dan prediksi auditorial sebesar 0.00%. Dari hasil perbandingan membuktikan implementasi dengan model 5 Fold Cross Validation lebih baik.
Evaluating the biomechanical performance of Ti6Al4V volar plates in patients with distal radius fractures
Authors: Li Hua , Wang Daofeng , Zhang Wupeng , Xu Cheng , Xiong Dou , Li Jiantao , Zhang Licheng , Tang Peifu 
Published: February 2023

Purpose: This study aimed to investigate the biomechanical performance of three Ti6Al4V volar plates with the latest designs using a finite element model.Methods: An AO type 23-A3 distal radius fracture and the models of T plate (2.4 mm LCP Volar Distal Radius Plate), V plate (2.4 mm LCP Two-Column Volar Distal Radius Plate) and π Plate (2.4 mm Volar Rim Distal Radius Plate) (all from Depuy Synthes, West Chester, PA, USA, Ti6Al4V) were built in 3D-matic software. After assembling the internal fixation and fractures, we imported these models into the finite element analysis software (ABAQUS). An axial loading of 100 N was added to the distal end of each model. The displacements of total models and implants, the principal strains and the von Mises stresses in the plates were calculated and compared to capture the biomechanical features of the three plates.Results: The T plate, V plate and π plate represented a model displacement of 0.8414 mm, 1.134 mm and 1.936 mm, respectively. The T plate was with the implant displacement of 0.7576 mm, followed by the V plate (0.8802 mm) and the π plate (1.545 mm). The T plate had the smallest principal strain of 0.23%, the V plate showed an intermediate level of 0.28%, and the π plate had a value of 0.72%. The least peak von Mises stress was observed in the V plate with 263.6MPa, and this value was 435.6 MPa and 1050 MPa in the T plate and π plate, respectively.Conclusion: The biomechanical features of three Ti6Al4V volar locking plates in an AO type 23-A3 fracture were described in our analysis. The T plate and the V plate showed similar biomechanical performance while the π plate represented worse performance than the other two plates.
Chlamydia trachomatis induces the transcriptional activity of host YAP in a Hippo-independent fashion
Authors: Caven Liam T. , Brinkworth Amanda J. , Carabeo Rey A. 
Published: February 2023

IntroductionThe obligate intracellular pathogen Chlamydia trachomatis is the causative agent of the most common bacterial sexually transmitted disease worldwide. While the host response to infection by this pathogen has been well characterized, it remains unclear to what extent host gene expression during infection is the product of Chlamydia-directed modulation of host transcription factors.MethodsTo identify transcription factors potentially modulated by Chlamydia during infection, we infected immortalized endocervical epithelial cells (End1/E6E7) with the anogenital C. trachomatis serovar L2, harvesting polyadenylated RNA for bulk RNA-sequencing. Subsequent experiments elucidating the mechanism of infection-mediated YAP activation assayed YAP target gene expression via qRT-PCR, YAP nuclear translocation via quantitative immunofluorescence, and YAP phosphorylation via Western blotting.ResultsRNA sequencing of Chlamydia-infected endocervical epithelial cells revealed gene expression consistent with activity of YAP, a transcriptional coactivator implicated in cell proliferation, wound healing, and fibrosis. After confirming induction of YAP target genes during infection, we observed an infection-dependent increase in YAP nuclear translocation sensitive to inhibition of bacterial protein synthesis. While Hippo-mediated phosphoinhibition of YAP at S127 was unaffected by C. trachomatis infection, Hippo-independent phosphorylation at Y357 was increased. Infection did not enhance nuclear translocation of Y357F mutant YAP, illustrating a requirement for phosphorylation at this residue. Pharmacological inhibition of host Src-family kinase activity attenuated YAP Y357 phosphorylation, but not nuclear translocation – which was instead sensitive to inhibition of Abl.DiscussionOur results define a transcriptome-altering mechanism of pathogen-directed YAP activation that bypasses canonical inhibition by the Hippo kinase cascade, with a potential link to chlamydial fibrosis and other advanced disease sequelae. Additional study is required to determine the specific role of infection-associated Y357 phosphorylation and Abl activity in chlamydial induction of YAP.
Spatiotemporal heterogeneity and impact factors of hepatitis B and C in China from 2010 to 2018: Bayesian space–time hierarchy model
Authors: Qian Jiaojiao , Yue Ming , Huang Peng , Ai Lele , Zhu Changqiang , Wang Chongcai , Luo Yizhe , Yue Na , Wu Yifan , Zhang Yun , Wang Chunhui , Tan Weilong 
Published: February 2023

IntroductionViral hepatitis is a global public health problem, and China still faces great challenges to achieve the WHO goal of eliminating hepatitis.MethodsThis study focused on hepatitis B and C, aiming to explore the long-term spatiotemporal heterogeneity of hepatitis B and C incidence in China from 2010 to 2018 and quantify the impact of socioeconomic factors on their risk through Bayesian spatiotemporal hierarchical model.ResultsThe results showed that the risk of hepatitis B and C had significant spatial and temporal heterogeneity. The risk of hepatitis B showed a slow downward trend, and the high-risk provinces were mainly distributed in the southeast and northwest regions, while the risk of hepatitis C had a clear growth trend, and the high-risk provinces were mainly distributed in the northern region. In addition, for hepatitis B, illiteracy and hepatitis C prevalence were the main contributing factors, while GDP per capita, illiteracy rate and hepatitis B prevalence were the main contributing factors to hepatitis C.DisussionThis study analyzed the spatial and temporal heterogeneity of hepatitis B and C and their contributing factors, which can serve as a basis for monitoring efforts. Meanwhile, the data provided by this study will contribute to the effective allocation of resources to eliminate viral hepatitis and the design of interventions at the provincial level.
Integrated analysis of long non-coding RNAs and mRNAs associated with glaucoma in vitro
Authors: You Mengling , Rong Rong , Zeng Zhou , Fan Cong , Li Haibo , Yang Qian , Ji Dan 
Published: February 2023

IntroductionIn recent years, the biological functions and important roles of long non-coding RNAs (lncRNAs) have been widely reported in many diseases. Although glaucoma is the leading cause of blindness worldwide, the specific mechanisms of lncRNAs in the pathogenesis and progression of glaucoma remain unclear. Our research aims to elucidate the differentially expressed lncRNAs and mRNAs in glaucoma and to provide a basis for further exploration of the specific mechanism of action of lncRNAs in the progression of glaucoma.MethodsWe performed RNA sequencing on samples from a pressurized model of R28 cells and performed bioinformatics analyses on the sequencing results. The expression consistency of lncRNAs in clinical samples from patients with glaucoma or cataracts was detected using real-time quantitative polymerase chain reaction (RT-qPCR).ResultsRNA sequencing results showed that lncRNAs in cluster 5 were upregulated with increasing stress after typing all significantly altered lncRNAs using k-means in a cellular stress model. KEGG analysis indicated that they were associated with neurodegenerative diseases. Differentially expressed lncRNAs were verified by RT-qPCR, and the lncRNA expression levels of AC120246.2 and XLOC_006247 were significantly higher in the aqueous humor (AH) of patients with glaucoma than in those with cataracts. For LOC102551819, there was almost no expression in the AH and trabecular meshwork in patients with glaucoma but high expression was observed in the iris. ConclusionOur research proposes potential diagnostic or intervention targets for clinical applications as well as a theoretical basis for more in-depth research on the function of lncRNAs in glaucoma.
Case report: Metastatic pancreatic neuroendocrine tumour associated with portal vein thrombosis; successful management with subsequent pregnancies
Authors: Sira Lívia , Zsíros Noémi , Bidiga László , Barna Sándor , Kanyári Zsolt , Nagy Edit B. , Guillaume Nicolas , Wild Damian , Rázsó Katalin , Andó Szilvia , Balogh István , Nagy Endre V. , Balogh Zoltán 
Published: February 2023

BackgroundSplanchnic vein thrombosis due to co-existing metastatic pancreatic neuroendocrine tumour (pNET) and JAK2V617F mutation is a rare condition.Case reportHere we present a case of a young woman with complete remission of a non-functioning grade 2 pNET with unresectable liver metastases, coexisting with JAK2V617F mutation. Splenectomy and distal pancreatectomy were performed. Neither surgical removal, nor radiofrequency ablation of the liver metastases was possible. Therefore, somatostatin analogue (SSA) and enoxaparine were started. Peptide receptor radionuclide therapy (PRRT) was given in 3 cycles 6-8 weeks apart. Genetic testing revealed no multiple endocrine neoplasia type 1 (MEN-1) gene mutations. After shared decision making with the patient, she gave birth to two healthy children, currently 2 and 4 years old. On pregnancy confirmation, SSA treatment was interrupted and resumed after each delivery. Ten years after the diagnosis of pNET, no tumour is detectable by MRI or somatostatin receptor scintigraphy. PRRT followed by continuous SSA therapy, interrupted only during pregnancies, resulted in complete remission and enabled the patient to complete two successful pregnancies.
Identification of biomarkers for the diagnosis of chronic kidney disease (CKD) with non-alcoholic fatty liver disease (NAFLD) by bioinformatics analysis and machine learning
Authors: Cao Yang , Du Yiwei , Jia Weili , Ding Jian , Yuan Juzheng , Zhang Hong , Zhang Xuan , Tao Kaishan , Yang Zhaoxu 
Published: February 2023

BackgroundChronic kidney disease (CKD) and non-alcoholic fatty liver disease (NAFLD) are closely related to immune and inflammatory pathways. This study aimed to explore the diagnostic markers for CKD patients with NAFLD.MethodsCKD and NAFLD microarray data sets were screened from the GEO database and analyzed the differentially expressed genes (DEGs) in GSE10495 of CKD date set. Weighted Gene Co-Expression Network Analysis (WGCNA) method was used to construct gene coexpression networks and identify functional modules of NAFLD in GSE89632 date set. Then obtaining NAFLD-related share genes by intersecting DEGs of CKD and modular genes of NAFLD. Then functional enrichment analysis of NAFLD-related share genes was performed. The NAFLD-related hub genes come from intersection of cytoscape software and machine learning. ROC curves were used to examine the diagnostic value of NAFLD related hub genes in the CKD data sets and GSE89632 date set of NAFLD. CIBERSORTx was also used to explore the immune landscape in GSE104954, and the correlation between immune infiltration and hub genes expression was investigated.ResultsA total of 45 NAFLD-related share genes were obtained, and 4 were NAFLD-related hub genes. Enrichment analysis showed that the NAFLD-related share genes were significantly enriched in immune-related pathways, programmed cell death, and inflammatory response. ROC curve confirmed 4 NAFLD-related hub genes in CKD training set GSE104954 and other validation sets. Then they were used as diagnostic markers for CKD. Interestingly, these 4 diagnostic markers of CKD also showed good diagnostic value in the NAFLD date set GSE89632, so these genes may be important targets of NAFLD in the development of CKD. The expression levels of the 4 diagnostic markers for CKD were significantly correlated with the infiltration of immune cells.Conclusion4 NAFLD-related genes (DUSP1, NR4A1, FOSB, ZFP36) were identified as diagnostic markers in CKD patients with NAFLD. Our study may provide diagnostic markers and therapeutic targets for CKD patients with NAFLD.
Metabonomic analysis of follicular fluid in patients with diminished ovarian reserve
Authors: Li Jianan , Zhang Zhourui , Wei Yiqiu , Zhu Pujia , Yin Tailang , Wan Qiongqiong 
Published: February 2023

BackgroundOvarian reserve is an important factor determining female reproductive potential. The number and quality of oocytes in patients with diminished ovarian reserve (DOR) are reduced, and even if in vitro fertilization-embryo transfer (IVF-ET) is used to assist their pregnancy, the clinical pregnancy rate and live birth rate are still low. Infertility caused by reduced ovarian reserve is still one of the most difficult clinical problems in the field of reproduction. Follicular fluid is the microenvironment for oocyte survival, and the metabolic characteristics of follicular fluid can be obtained by metabolomics technology. By analyzing the metabolic status of follicular fluid, we hope to find the metabolic factors that affect the quality of oocytes and find new diagnostic markers to provide clues for early detection and intervention of patients with DOR.MethodsIn this research, 26 infertile women with DOR and 28 volunteers with normal ovarian reserve receiving IVF/ET were recruited, and their follicular fluid samples were collected for a nontargeted metabonomic study. The orthogonal partial least squares discriminant analysis model was used to understand the separation trend of the two groups, KEGG was used to analyze the possible metabolic pathways involved in differential metabolites, and the random forest algorithm was used to establish the diagnostic model.Results12 upregulated and 32 downregulated differential metabolites were detected by metabolic analysis, mainly including amino acids, indoles, nucleosides, organic acids, steroids, phospholipids, fatty acyls, and organic oxygen compounds. Through KEGG analysis, these metabolites were mainly involved in aminoacyl-tRNA biosynthesis, tryptophan metabolism, pantothenate and CoA biosynthesis, and purine metabolism. The AUC value of the diagnostic model based on the top 10 metabolites was 0.9936.ConclusionThe follicular fluid of patients with DOR shows unique metabolic characteristics. These data can provide us with rich biochemical information and a research basis for exploring the pathogenesis of DOR and predicting ovarian reserve function.
Formation of the synaptonemal complex in a gynogenetic allodiploid hybrid fish
Authors: Wang Jing , Wang Wen , Li Jihong , Zhang Yirui , Luo Kaikun , Han Linmei , Xiang Caixia , Chai Mingli , Luo Ziye , Zhao Rurong , Liu Shaojun 
Published: February 2023

Introduction: The correct pairing and separation of homologous chromosomes during meiosis is crucial to ensure both genetic stability and genetic diversity within species. In allodiploid organisms, synapsis often fails, leading to sterility. However, a gynogenetic allodiploid hybrid clone line (GDH), derived by crossing red crucian carp (Carassius auratus ♀) and common carp (Cyprinus carpio ♂), stably produces diploid eggs. Because the GDH line carries 100 chromosomes with 50 chromosomes from the red crucian carp (RCC; ♀, 2n = 2x = 100) and 50 chromosomes from the common carp (CC; C. carpio L., ♂, 2n = 2x = 100), it is interesting to study the mechanisms of homologous chromosome pairing during meiosis in GDH individuals.Methods: By using fluorescence in situ hybridization (FISH) with a probe specific to the red crucian carp to label homologous chromosomes, we identified the synaptonemal complex via immunofluorescence assay of synaptonemal complex protein 3 (SCP3).Results: FISH results indicated that, during early ovarian development, the GDH oogonium had two sets of chromosomes with only one set from Carassius auratus, leading to the failure formation of normal bivalents and the subsequently blocking of meiosis. This inhibition lasted at least 5 months. After this long period of inhibition, pairs of germ cells fused, doubling the chromosomes such that the oocyte contained two sets of chromosomes from each parent. After chromosome doubling at 10 months old, homologous chromosomes and the synaptonemal complex were identified.Discussion: Causally, meiosis proceeded normally and eventually formed diploid germ cells. These results further clarify the mechanisms by which meiosis proceeds in hybrids.