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6篇 您的检索式:作者名="Hanggoro"
    题名 作者 年代 出处 被引量
1RDI指数在新疆5个地区干旱监测的应用显示文摘为加强新疆地区干旱动态监测与评估,基于阿勒泰、伊宁、乌鲁木齐、和田、哈密5个气象站近49 a的逐日降水与蒸散数据,采用计算简单、敏感性与稳定性较强的RDI指数分析了5个地区季尺度以及年尺度的干旱特征,并指出了未来新疆地区干旱评估的发展方向。结果表明:(1)5个地区在年尺度和4个季尺度上的干旱强度与频率略有差异,但干旱程度均有所下降,都存在湿润化趋势,乌鲁木齐湿润化程度最高,和田地区湿润化程度最低。(2)从季节上看,阿勒泰地区夏、秋两季湿润化程度较高,春、冬两季湿润化程度较低;伊宁和乌鲁木齐两地夏、冬两季湿润化较明显,春、秋两季湿润化程度较低;和田、哈密两地春、夏、秋三季都比冬季湿润化程度高。王乃哲 景元书 徐向华 Hanggoro Wido 2020干旱区地理2020,43,1:4
2Hepatitis B and C virus infection among hemodialysis patients in yogyakarta, Indonesia: Prevalence and molecular evidence for nosocomial transmission显示文摘Hanggoro Tri Rinonce Yoshihiko Yano Takako Utsumi Didik Setyo Heriyanto Nungki Anggorowati Dewiyani Indah Widasari Maria Inge Lusida Soetjipto Heru Prasanto Hak Hotta Yoshitake Hayashi 2013J. Med. Virol2013,,8:1
3Clinical and virological characteristics of hepatitis B or C virus co‐infection with HIV in Indonesian patients显示文摘NungkiAnggorowati YoshihikoYano Didik SetyoHeriyanto Hanggoro TriRinonce TakakoUtsumi Deshinta PutriMulya Yanri WijayantiSubronto YoshitakeHayashi 2012J. Med. Virol2012,,6:1
4Quantification of Pregenomic RNA and Covalently Closed Circular DNA in Hepatitis B Virus-Related Hepatocellular Carcinoma显示文摘Fugui Bai Yoshihiko Yano Takumi Fukumoto Atsushi Takebe Motofumi Tanaka Kaori Kuramitsu Nungki Anggorowati Hanggoro Tri Rinonce Dewiyani Indah Widasari Masaya Saito Hirotaka Hirano Takanobu Hayakumo Yasushi Seo Takeshi Azuma Yonson Ku Yoshitake Hayashi Da 2013International Journal of Hepatology2013,,:1
5PoIR: A Node Selection Mechanism in Reputation-Based Blockchain Consensus Using Bidirectional LSTM Regression Model显示文摘This research presents a reputation-based blockchain consensus mechanism called Proof of Intelligent Reputation(PoIR)as an alternative to traditional Proof of Work(PoW).PoIR addresses the limitations of existing reputationbased consensus mechanisms by proposing a more decentralized and fair node selection process.The proposed PoIR consensus combines Bidirectional Long Short-Term Memory(BiLSTM)with the Network Entity Reputation Database(NERD)to generate reputation scores for network entities and select authoritative nodes.NERD records network entity profiles based on various sources,i.e.,Warden,Blacklists,DShield,AlienVault Open Threat Exchange(OTX),and MISP(Malware Information Sharing Platform).It summarizes these profile records into a reputation score value.The PoIR consensus mechanism utilizes these reputation scores to select authoritative nodes.The evaluation demonstrates that PoIR exhibits higher centralization resistance than PoS and PoW.Authoritative nodes were selected fairly during the 1000-block proposal round,ensuring a more decentralized blockchain ecosystem.In contrast,malicious nodes successfully monopolized 58%and 32%of transaction processes in PoS and PoW,respectively,but failed to do so in PoIR.The findings also indicate that PoIR offers efficient transaction times of 12 s,outperforms reputation-based consensus such as PoW,and is comparable to reputation-based consensus such as PoS.Furthermore,the model evaluation shows that BiLSTM outperforms other Recurrent Neural Network models,i.e.,BiGRU(Bidirectional Gated Recurrent Unit),UniLSTM(Unidirectional Long Short-Term Memory),and UniGRU(Unidirectional Gated Recurrent Unit)with 0.022 Root Mean Squared Error(RMSE).This study concludes that the PoIR consensus mechanism is more resistant to centralization than PoS and PoW.Integrating BiLSTM and NERD enhances the fairness and efficiency of blockchain applications.Jauzak Hussaini Windiatmaja Delphi Hanggoro Muhammad Salman Riri Fitri Sari 2023Computers, Materials & Continua2023,77,11:0
6Lag time,high-risk histopathological features,metastasis,and survival interrelation in retinoblastoma:a perspective from lower-middle income country显示文摘AIM:To investigate the impact of lag time to metastasis and survival rates among patients with retinoblastoma.METHODS:This retrospective study was conducted with 52 patients from the Department of Ophthalmology and the Department of Pediatrics of Dr.Sardjito General Hospital,between 1^(st) January 2014 and 31^(st) December 2020.Lag time was defined as the time delay between the first sign of retinoblastoma to the diagnosis of retinoblastoma.The subjects with lag time>one year were included in the case group,while the subjects with lag timePurjanto Tepo Utomo Datu Respatika Bambang Ardianto Hanggoro Tri Rinonce Didik Setyo Heriyanto Banu Aji Dibyasakti Irene Titin Darajati Indra Tri Mahayana Agus Supartoto 2022International Journal of Ophthalmology(English edition)2022,15,12:0
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