bluuebunny/crossref_metadata_2025_split huggingface dataset:
APLIKASI SATU PINTU PENERIMAAN SISWA BARU PADA SEKOLAH MENENGAH ATAS
Authors: Purnama Jaka , Melani Yayuk Ike 
Published: April 2022

Latarbelakang dibuatnya penelitian ini adalah beberapa Sekolah Menengah Atas (SMA) di Palembang masih menggunakan cara konvensional untuk melakukan pendaftaran siswa baru. Dimasa pandemi covid-19 ini, banyak orang tua kesusahan untuk melakukan pendaftaran siswa baru karena adanya pembatasan sosial berskala besar yang dicanangkan oleh pemerintah untuk menangani covid-19 sehingga mengharuskan masyarakat dirumah saja. Hal ini menyebabkan penurunan jumlah calon siswa yang mendaftar. Penelitian ini bertujuan untuk membuat antarmuka yang berupa aplikasi pendaftaran siswa baru berbasis web dan mobile yang dapat mempermudah calon siswa baru untuk melakukan proses pendaftaran tanpa harus datang kesekolah. Metode pengembangan sistem yang digunakan adalah model spiral yang mana mempunyai enam tahapan yaitu Komunikasi pelanggan yaitu peneliti melakukan komunikasi dengan pengguna sistem untuk mengetahui kebutuhan sistem yang seperti apa yang dibutuhkan pengguna, Perencanaan, Analisis Resiko, Perekayasaan, Pengujian sistem, Konstruksi dan peluncuran. Hasil dari penelitian ini adalah sebuah aplikasi pendaftaran siswa baru yang dapat digunakan oleh calon siswa untuk melakukan pendaftaran. Pengujian sistem yang dilakukan menggunakan pengujian blackbox yang menunjukan bahwa sistem yang dibangun telah berjalan dengan baik dan sesuai dengan yang diharapkan.
Penerapan Framework ITILV3 Dalam Tata Kelola Infrastruktur Teknologi Informasi Di SMK Banyuasin
Authors: Adiktia Adiktia , Cholil Widya 
Published: April 2022

Penyelenggaraan organisasi baik dalam rangka pelayanan good governance yang akan menjamin transparansi, efisiensi dan efektivitas penyelenggaraan dalam sebuah organisasi. Teknologi informasi dan komunikasi merupakan factor penting dalam menunjang kegiatan operasional maupun pengambilan keputusan dilingkungkan Instansi/ Yayasan Pendidikan. Sekolah merupakan sebuah institusi Pendidikan dengan salah satu tugas yang diembannya adalah melayani masyarakat untuk menyiapkan sumber daya manusia (SDM) yang bermutu dan berdaya guna. Aktifitas utama sesuai dengan fungsi utamanya yaitu sebagai penyelenggara Pendidikan adalah layanan akademik, system yang di pakai untuk mengelola suatu informasi. Maka perlu adanya kajian untuk mengukur tingkat kematangan dan keberhasilan dalam pemanfaatan teknologi informasi ini dibandingkan system manual. Budaya teknologi pada instansi Pendidikan juga menjadi indikator penting pada IT services untuk melakukan pemeliharaan dan perawatan secara berkala agar tidak terjadi trouble untuk menghindari gangguan akses internet. Information Teknologi Information Infrastruktur Library (ITIL) merupakan kerangka kerja umum yang menyediakan kerja bagi tata kelola IT sebuah layanan yang berfokus pada pengukuran kualitas layanan TI berbagai bidang. Tata kelola TI diaratikan sebagai struktur dari hubungan proses yang mengarah dan mengatur organisasi dalam rangka mencapai tujuan dengan memberikan nilai tambah dari pemanfaatan teknologi informasi sambil menyeimbangkan resiko dibandingkan dengan hasil yang diberikan oleh teknologi informasi dan prosesnya. Kata kunci - ITIL V3, Tata Kelola, Teknologi Informasi, IT Service.
Pengaruh senam otak terhadap penurunan tingkat Dimensia pada lansia di Panti Sosial Rehabilitasi Sosial Himo-Himo Kota Ternate
Authors: Krisnawati Arini , Almari Fauzi 
Published: April 2022

Latar Belakang: Lanjut usia jumlahnya terus meningkat seiring peningkatan kesejahteraan manusia terutama di negara maju dan berkembang. Karena memnurunnya fungsi tubuh dan pengaruh kognitif akan mengalami dimensia dan dibutuhkan alternatif dalam mendukung upaya dalam membantu lansia dalam mengatasi hal itu. Salah satu intervensi dalam membantu menangani alzmeir adalah melalui cara latihan senam otak Tujuan: Penelitian ini bertujuan untuk mengetahui pengaruh senam otak terhadap penurunan tingkat dimensia pada lansia di panti sosial rehabilitasi sosial himo-himo kota Ternate. Metode: Penelitian kuantitatif one grup Pre-post design dengan pendekatan cross sectional. Populasi pada lansia sebanyak 60 orang pada lansia yang tinggal di panti sosial rehabilitas selama lebih 2 tahun. Pengambilan sampel dengan teknik purposif sampling yang sesuai dengan kriteria. Analisis menggunakan wilcoxon signed ranks test dengan SPSS versi 19.00. Hasil: Mayoritas usia responden yang mengalami demensia antara 60-74 tahun, perempuan lebih dominan (73%), Nilai kognitif sebelum penerapan senam otak lansia sebesar 33% dan setelah perlakuan naik manjadi 53%. Hasil analisis bivariat menunjukan adanya pengaruh pemberian senam otak dengan fungsi kognitif lansia dengan p Value 0,000.Kesimpulan: Terdapat pengaruh pemberian senam otak pada lansia terhadap penurunan tingkat dimensia. Daharapkan kepada lansia maupun instansi terkait yang menangani lansia perlu menerapkan metode latihan senam otak sehingga dapat membantu dalam mengurangi dimensia.
NEW CONCEPTS FOR DESIGNING BRIDGE APPROACH SLABS
Authors: Sun Peizhi , Zollinger Dan 
Published: April 2022

The well-known bump-at-the-end-of-the-bridge often involves the joint between the bridge approach slab (BAS) and a bridge deck as the root cause has been a recurring nationwide issue over the years. DOTs have reported that the roughness and the associated slab cracking near this joint have significantly reduced ride quality. Recent field investigations have found that similar problems can also develop at the BAS – pavement joint due to erosion that has taken place underneath it. Considerations are provided in this paper with respect to how potential erosion could be better addressed by addressing the factors that affect it in the design of the BAS thickness. An approach previously developed by the research team is briefly introduced to facilitate the prediction of erosion damage occurring underneath the BAS – pavement joint.	As a means to improve the current methodology for designing the thickness of BASs, this paper elaborates a modified mechanistic – empirical design procedure using a an “erosion-based slab thickness” concept to account for the effect of the erosion damage on the structural capacity of the BAS; reliability considerations with respect to the cracking performance of BASs are also provided to facilitate the design process.
A review of the ``trigger'' to reseal contraction joints in plain concrete pavements
Authors: Vorobieff George 
Published: April 2022

This paper provides a critical review of the ‘trigger’ to reseal transverse contraction joints in plain concrete pavements given that sealant distress is not uniform along the joint length, traffic management costs are a significant cost, minimising traffic disruption at high volume sites is important, and maintenance funding being limited and directed to ‘safety first’ maintenance activities. In NSW, Australia, all contraction joints are sealed with a highway grade silicone sealant. When sealed with the reservoir clean and dry, the joint sealant should remain in place without cracking for at least 15 years. However, joints sealed incorrectly typically result in early age adhesion failure. Poor joint cleanliness or sealing too early, has been shown to result in seal distress under the wheel paths within the first 2 years. It is also common for the sealant to become distressed in the slow (outer) lane while the sealant is in satisfactory condition in the fast (inner) lane. Recommendations for an interim empirical procedure are provided to assist asset managers evaluate the ‘triggers’ for resealing existing joints. The recommendations are based on the age of the pavement and incorporate: (a) Simplified definition for sealant defect, (b) Implementation of a random inspection technique to determine the extent of seal distress and more informed decision making on contraction joints to be resealed, and (c)	The extent of resealing in a transverse joint over multiple lanes.
Evolving Insights Into the Biological Function and Clinical Significance of Long Noncoding RNA in Glioblastoma
Authors: Liu Kun , Chen Hong , Wang Yuanyuan , Jiang Liping , Li Yi 
Published: April 2022

Glioblastoma (GBM) is one of the most prevalent and aggressive cancers worldwide. The overall survival period of GBM patients is only 15 months even with standard combination therapy. The absence of validated biomarkers for early diagnosis mainly accounts for worse clinical outcomes of GBM patients. Thus, there is an urgent requirement to characterize more biomarkers for the early diagnosis of GBM patients. In addition, the detailed molecular basis during GBM pathogenesis and oncogenesis is not fully understood, highlighting that it is of great significance to elucidate the molecular mechanisms of GBM initiation and development. Recently, accumulated pieces of evidence have revealed the central roles of long noncoding RNAs (lncRNAs) in the tumorigenesis and progression of GBM by binding with DNA, RNA, or protein. Targeting those oncogenic lncRNAs in GBM may be promising to develop more effective therapeutics. Furthermore, a better understanding of the biological function and underlying molecular basis of dysregulated lncRNAs in GBM initiation and development will offer new insights into GBM early diagnosis and develop novel treatments for GBM patients. Herein, this review builds on previous studies to summarize the dysregulated lncRNAs in GBM and their unique biological functions during GBM tumorigenesis and progression. In addition, new insights and challenges of lncRNA-based diagnostic and therapeutic potentials for GBM patients were also introduced.
Using Deep Learning Radiomics to Distinguish Cognitively Normal Adults at Risk of Alzheimer’s Disease From Normal Control: An Exploratory Study Based on Structural MRI
Authors: Jiang Jiehui , Zhang Jieming , Li Zhuoyuan , Li Lanlan , Huang Bingcang ,   Alzheimer’s Disease Neuroimaging Initiative
Published: April 2022

ObjectivesWe proposed a novel deep learning radiomics (DLR) method to distinguish cognitively normal adults at risk of Alzheimer’s disease (AD) from normal control based on T1-weighted structural MRI images.MethodsIn this study, we selected MRI data from the Alzheimer’s Disease Neuroimaging Initiative Database (ADNI), which included 417 cognitively normal adults. These subjects were divided into 181 individuals at risk of Alzheimer’s disease (preAD group) and 236 normal control individuals (NC group) according to standard uptake ratio &gt;1.18 calculated by amyloid Positron Emission Tomography (PET). We further divided the preaAD group into APOE+ and APOE− subgroups according to whether APOE ε4 was positive or not. All data sets were divided into one training/validation group and one independent test group. The proposed DLR method included three steps: (1) the pre-training of basic deep learning (DL) models, (2) the extraction, selection and fusion of DLR features, and (3) classification. The support vector machine (SVM) was used as the classifier. In the comparative experiments, we compared our proposed DLR method with three existing models: hippocampal model, clinical model, and traditional radiomics model. Ten-fold cross-validation was performed with 100 time repetitions.ResultsThe DLR method achieved the best classification performance between preAD and NC than other models with an accuracy of 89.85% ± 1.12%. In comparison, the accuracies of the other three models were 72.44% ± 1.37%, 82.00% ± 4.09% and 79.65% ± 2.21%. In addition, the DLR model also showed the best classification performance (85.45% ± 9.04% and 92.80% ± 2.61%) in the subgroup experiment.ConclusionThe results showed that the DLR method provided a potentially clinical value to distinguish preAD from NC.
Exploring Tumor Immune Microenvironment and Its Associations With Molecular Characteristics in Melanoma
Authors: Wang Jiangyuan , Peng Cong , Dai Wentao , Chen Xiang , Meng Jing , Jiang Taijiao 
Published: April 2022

BackgroundThe tumor microenvironment (TME), which involves infiltration of multiple immune cells into the tumor tissues, plays an essential role in clinical benefit to therapy. The chemokines and their receptors influence migration and functions of both tumor and immune cells. Also, molecular characteristics are associated with the efficacy of melanoma therapy. However, there lacked exploration of immune characteristics and the association with molecular characteristics.MethodsWe collected the currently available 569 melanoma samples that had both the genomic and transcriptional data from TCGA and SRA databases. We first identified TME subtypes based on the developed immune signatures, and then divided the samples into two immune cohorts based on the immune score. Next, we estimated the compositions of the immune cells of the two cohorts, and performed differential expression genes (DEGs) and functional enrichments. In addition, we investigated the interactions of chemokines and their receptors under immune cells. Finally, we explored the genomic characteristics under different immune subtypes.ResultsTME type D had a better prognosis among the four subtypes. The high-immunity cohort had significantly high 16 immune cells. The 63 upregulated and 384 downregulated genes in the high-immunity cohort were enriched in immune-related biological processes, and keratin, pigmentation and epithelial cells, respectively. The correlations of chemokines and their receptors with immune cell infiltration, such as CCR5-CCL4/CCL5 and CXCR3-CXCL9/CXCL10/CXCL11/CXCL13 axis, showed that the recruitments of 11 immune cells, such as CD4T cells and CD8T cells, were modulated by chemokines and their receptors. The proportions of the four TME subtypes in each molecular subtype were comparable. The two driver genes, CDKN2A and PRB2, had significantly different MAFs between the high-immunity and low-immunity.ConclusionWe dissected the characteristics of immune infiltration, the interactions of chemokines and their receptors under immune cells, and the correlation of molecular and immune characteristics. Our work will enable the reasonable selection of anti-melanoma treatments and accelerate the development of new therapeutic strategies for melanoma.
Development and Validation of a Prognostic Model to Predict Recurrence-Free Survival After Curative Resection for Perihilar Cholangiocarcinoma: A Multicenter Study
Authors: Liu Zhi-Peng , Chen Wei-Yue , Wang Zi-Ran , Liu Xing-Chao , Fan Hai-Ning , Xu Lei , Pan Yu , Zhong Shi-Yun , Xie Dan , Bai Jie , Jiang Yan , Zhang Yan-Qi , Dai Hai-Su , Chen Zhi-Yu 
Published: April 2022

BackgroundRecurrence is the main cause of death in perihilar cholangiocarcinoma (pCCA) patients after surgery. Identifying patients with a high risk of recurrence is important for decision-making regarding neoadjuvant therapy to improve long-term outcomes.AimThe objective of this study was to develop and validate a prognostic model to predict recurrence-free survival (RFS) after curative resection of pCCA.MethodsPatients following curative resection for pCCA from January 2008 to January 2016 were identified from a multicenter database. Using random assignment, 70% of patients were assigned to the training cohort, and the remaining 30% were assigned to the validation cohort. Independent predictors of RFS after curative resection for pCCA were identified and used to construct a prognostic model. The predictive performance of the model was assessed using calibration curves and the C-index.ResultsA total of 341 patients were included. The median overall survival (OS) was 22 months, and the median RFS was 14 months. Independent predictors associated with RFS included lymph node involvement, macrovascular invasion, microvascular invasion, maximum tumor size, tumor differentiation, and carbohydrate antigen 19-9. The model incorporating these factors to predict 1-year RFS demonstrated better calibration and better performance than the 8th American Joint Committee on Cancer (AJCC) staging system in both the training and validation cohorts (C-indexes: 0.723 vs. 0.641; 0.743 vs. 0.607).ConclusionsThe prognostic model could identify patients at high risk of recurrence for pCCA to inform patients and surgeons, help guide decision-making for postoperative adjuvant therapy, and improve survival.
Efficacy and Safety of TACE Combined With Lenvatinib Plus PD-1 Inhibitors Compared With TACE Alone for Unresectable Hepatocellular Carcinoma Patients: A Prospective Cohort Study
Authors: Qu Shuping , Zhang Xiaobing , Wu Yutian , Meng Yan , Pan Hongyu , Fang Qiang , Hu Lei , Zhang Jin , Wang Ruoyu , Wei Lixin , Wu Dong 
Published: April 2022

PurposeTo compare the efficacy and safety of the combination of transcatheter arterial chemoembolization (TACE), Lenvatinib, and programmed cell death protein-1 (PD-1) inhibitors (combination group) with TACE (TACE group) in the treatment of patients with unresectable hepatocellular carcinoma (uHCC).MethodsWe consecutively enrolled 110 patients with uHCC in this prospective cohort study, with 56 patients receiving combination treatment and 54 patients receiving TACE from November 2017 to September 2020. The differences in tumor response, survival benefit, and adverse events (AEs) were compared between the two groups. Factors affecting survival were identified via Cox regression analysis.ResultsCompared with the TACE group, the combination group had a higher objective response rate (ORR) (67.9% vs. 29.6%, p &lt; 0.001), longer median progression-free survival (mPFS) (11.9 vs. 6.9 months, P = 0.003) and overall survival (mOS) (23.9 vs. 15.3 months, p &lt; 0.001). Multivariate analysis showed that the neutrophil-to-lymphocyte ratio (NLR) and the treatment option were independent factors associated with the PFS and OS. Further subgroup analysis showed that patients with low NLR (≤median 3.11) receiving combination therapy had better mPFS (20.1 vs. 6.2 months, P &lt; 0.001) and mOS (28.9 vs. 15.2 months, P &lt; 0.001) than those receiving TACE, while no obvious difference in PFS or OS was observed between the two groups in patients with high NLR (&gt; 3.11). There were no unexpected toxicities in the combination group.ConclusionCompared with TACE, the combination treatment demonstrated an improved clinical efficacy and manageable safety profile in patients with uHCC. Combination treatment showed better therapeutic efficacy in patients with low NLR; therefore, this ratio could be used to identify patients who will benefit from this treatment.
Predicting the Risk of Microtia From Prenatal Factors: A Hospital-Based Case-Control Study
Authors: Chen Wei , Sun Manqing , Zhang Yue , Zhang Qun , Xu Xiaolin 
Published: April 2022

BackgroundAlthough a wide range of risk factors for microtia were identified, the limitation of these studies, however, is that risk factors were not estimated in comparison with one another or from different domains. Our study aimed to uncover which factors should be prioritized for the prevention and intervention of non-syndromic microtia via tranditonal and meachine-learning statistical methods.Methods293 pairs of 1:1 matched non-syndromic microtia cases and controls who visited Shanghai Ninth People's Hospital were enrolled in the current study during 2017-2019. Thirty-nine risk factors across four domains were measured (i.e., parental sociodemographic characteristics, maternal pregnancy history, parental health conditions and lifestyles, and parental environmental and occupational exposures). Lasso regression model and multivariate conditional logistic regression model were performed to identify the leading predictors of microtia across the four domains. The area under the curve (AUC) was used to calculate the predictive probabilities.ResultsEight predictors were identified by the lasso regression, including abnormal pregnancy history, genital system infection, teratogenic drugs usage, folic acid supplementation, paternal chronic conditions history, parental exposure to indoor decoration, paternal occupational exposure to noise and maternal acute respiratory infection. The additional predictors identified by the multivariate conditional logistic regression model were maternal age and maternal occupational exposure to heavy metal. Predictors selected from the conditional logistic regression and lasso regression both yielded AUCs (95% CIs) of 0.83 (0.79–0.86).ConclusionThe findings from this study suggest some factors across multiple domains are key drivers of non-syndromic microtia regardless of the applied statistical methods. These factors could be used to generate hypotheses for further observational and clinical studies on microtia and guide the prevention and intervention strategies for microtia.
Biologics for Non-Cancer Dermatological Diseases: Analysis on China’s Clinical Trial Registration Trend From 2016 to 2020
Authors: Zhu Beibei , Liu Yi , Li Jing , Ni Qi , Yin Zheng , Zhu Junli , Chen Ken , Yang Xueyuan 
Published: April 2022

Background: In the past 5 years, China has quickly followed US’s steps to approve the new drug application of biologics for dermatological diseases. There is an increasing interest in the current biologic landscape and further potentials in China. Our study aims to analyze features of clinical trials on non-cancer dermatological biologics and synthesize recent achievements and impediments, in order to forecast the development trends in China.Methods: Three registers (the Chinese Clinical Trial Registry, Center for Drug Evaluation, and ClinicalTrials.gov) were searched for clinical trials of non-cancer dermatological biologics initiated between 2016 and 2020 in mainland China. Trial information (the first posted year, sponsor type, study phase and site, recruitment status, disease, drug target, and drug registration type) and certain study design (selection of the control group, primary efficacy outcome, and inclusion of patient-reported outcome for non–phase I or II trials only) information were extracted and analyzed.Results: A total of 60 trials were identified. The number of registered dermatological biologic trials significantly increased with an annual increase of 59% from 2016 to 2020, primarily driven by psoriasis (47/60, 78.3%) and atopic dermatitis (6/60, 10.0%) trials. The tumor necrosis factor (TNF)-α and interleukin (IL)-17 remained the hottest drug targets (17/60, 28.3% for TNF-α and 18/60, 30.0% for IL-17). In addition to TNF-α and IL-17, many new psoriasis drug targets came into place since 2018 (IL-12/23) and 2019 (IL-36 and glucagon-like peptide-1 (GLP-1)). Thirty percent (18/60) of the trials were conducted for biosimilar products, all of which were sponsored by local pharmaceutical companies and 88.9% of which were targeting on TNF-α. Targets of IL-36, IL-5, and IgE were only available in trials sponsored by global companies.Conclusion: There was great progress on the innovation of dermatological biologics in the past 5 years in China in terms of surged number of clinical trials, increased biosimilars and “me-too” drugs which greatly improved patient access to novel treatments, execution of parallel clinical trials, and improved hospital GCP office and regulatory environment. Further efforts for local pharmaceutical companies should include relocating resources to exploring novel drug targets and dermatological diseases other than psoriasis or atopic dermatitis.Systematic Review Registration: [website], identifier [registration number].