The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Hector A Godoy - One of the best experts on this subject based on the ideXlab platform.
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community participation in malaria surveillance and treatment iii an evaluation of modifications in the volunteer Collaborator network of guatemala
American Journal of Tropical Medicine and Hygiene, 1994Co-Authors: Trenton K Ruebush, Rodolfo Zeissig, Jeffrey P Koplan, Robert E Klein, Hector A GodoyAbstract:Abstract In most rural areas of Latin America, malaria surveillance and treatment is carried out by a network of unpaid village malaria workers, known as Volunteer Collaborators, who are trained and supervised by the National Malaria Service. To identify ways in which the performance of these volunteer workers could be improved and to test changes that would make the Volunteer Collaborator Networks (VCNs) a more attractive model for community participation in malaria case detection and treatment in other regions, we tested a series of modifications in the VCN of Guatemala. These modifications included improved methods for selecting, supervising, and evaluating the volunteer workers and for collecting blood smears and reporting results, and the use of volunteer workers, known as Volunteer Medicators, who administered presumptive antimalarial therapy without taking a blood smear. A cost-effectiveness analysis of the modified VCN was also carried out. Two years after the modifications were introduced, Volunteer Collaborators identified nearly twice as high a percentage (33% versus 17%) of patients with suspected malaria in their villages. Delays in examining blood smears were reduced from 23 days to 11 days and delays from blood smear examination to curative treatment were reduced from 21 days to 7 days. The Volunteer Medicators identified and treated only a slightly higher percentage of patients than the Volunteer Collaborators (36% versus 33%). However, the cost of maintaining a network of Volunteer Medicators ($0.61 per patient treated) was much lower than the traditional VCN ($2.45) or the modified VCN ($1.85). Thus, with a few, simple and relatively inexpensive modifications, the efficiency and cost-effectiveness of Volunteer Collaborators can be markedly improved. Additionally, the VCN can be modified to make it a more suitable model for community-based malaria control and surveillance networks in other malarious areas of the world, which differ in terms of their level of endemicity, the goals of the malaria program, or the available health care infrastructure.
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community participation in malaria surveillance and treatment i the volunteer Collaborator network of guatemala
American Journal of Tropical Medicine and Hygiene, 1992Co-Authors: Trenton K Ruebush, Hector A GodoyAbstract:Abstract The Volunteer Collaborator Networks (VCNs) of Latin America are one of the oldest and most successful examples of community participation in malaria control. They are made up of unpaid community volunteers, known as Volunteer Collaborators, who are selected by their neighbors and are trained and supervised by a member of the National Malaria Service (NMS). When a febrile patient visits the home of a Volunteer Collaborator, the volunteer worker takes a thick blood smear, completes a patient report form, and administers a presumptive treatment for malaria. The blood smear is examined in an NMS laboratory, and if malaria parasites are found, a radical or curative treatment is forwarded to the Volunteer Collaborator so that it can be administered to the patient. There is no charge for either the blood smear or the antimalarial medication. The VCN of Guatemala was established in 1958. Currently, more than 5,000 Volunteer Collaborator posts are operating throughout the malarious areas of the country. The volunteers range in age from 12 to 76 years old and 61% are men. Approximately 15% have no formal education, and only 27% have a sixth grade or higher education. The median length of service is 35 months (range three months to 26 years); 33% have worked for five or more years. Male Volunteer Collaborators had significantly lower turnover rates than females, as did married Volunteer Collaborators when compared with single volunteers. An inverse relationship was noted between the amount of education a Volunteer Collaborator had and his length of service. With modifications tailored to meet the objectives of a malaria control program and the local epidemiologic setting, the VCN can serve as an excellent model for community participation in malaria case detection and treatment in other regions of the world. In particular, in areas where the primary goal of the malaria program is to prevent mortality and morbidity through the provision of readily accessible, appropriate drug therapy, VCNs are an attractive alternative to self-medication and an effective adjunct to treatment of malaria at health posts which are often located at a considerable distance from the patient's village. Experience gained with this system can be valuable in developing approaches to community involvement in other efforts to improve the health of villagers in developing countries.
Gang Wang - One of the best experts on this subject based on the ideXlab platform.
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Scientific Collaborator Recommendation in Heterogeneous Bibliographic Networks
2015 48th Hawaii International Conference on System Sciences, 2015Co-Authors: Chen Yang, Shanshan Zhang, Gang WangAbstract:Most of the previous studies on scientific Collaborator recommendation are based on social proximity analysis to suggest Collaborators. However, the extracted homogeneous features cannot well represent the multiple factors which may implicitly affect the future scientific collaboration. In this paper we propose an approach based on the multiple heterogeneous network features, which has produced good results in our experiments based on a dataset of more than 30,000 ISI papers. This method can help solving the similar problems of people to people recommendation. It generates high quality expert's profiles via integrating research expertise, co-author network characteristics and researchers' institutional connectivity (local and global) through a SVM-Rank based information merging mechanism to perform intelligent matching. The generated comprehensive profiles alleviate information asymmetry and the multiple similarity measures overcome problems related to information overloading. The proposed method has been implemented in ScholarMate research network (www.scholarmate.com) which is a research 2.0 innovation, promoting research collaboration in virtual scientific community.
Chen Yang - One of the best experts on this subject based on the ideXlab platform.
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a nearest neighbor based personal rank algorithm for Collaborator recommendation
International Conference on Service Systems and Service Management, 2018Co-Authors: Chen Yang, Tingting Liu, Lei Liu, Xiaohong ChenAbstract:Nowadays, more and more scholars find their own research Collaborators through social platforms for scientific research. Due to the information overload problem, how to recommend Collaborators accurately has become an important issue. In addition, with the development of academic research, interdisciplinary studies are more and more common. Previous topic modeling methods and some other social friend recommendation algorithms are not suitable for the recommendation of scientific research Collaborators. Inspired by random walk with restart (RWR) and PageRank approach, this paper provides a nearest neighbor based random walk algorithm (NNRW) to recommend Collaborators. Compared to the fixed probability of walking in traditional random walk algorithm, NNRW achieves better performance because it incorporates the social network characteristics and the probability of walking depends on the historical cooperation of the target user.
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Scientific Collaborator Recommendation in Heterogeneous Bibliographic Networks
2015 48th Hawaii International Conference on System Sciences, 2015Co-Authors: Chen Yang, Shanshan Zhang, Gang WangAbstract:Most of the previous studies on scientific Collaborator recommendation are based on social proximity analysis to suggest Collaborators. However, the extracted homogeneous features cannot well represent the multiple factors which may implicitly affect the future scientific collaboration. In this paper we propose an approach based on the multiple heterogeneous network features, which has produced good results in our experiments based on a dataset of more than 30,000 ISI papers. This method can help solving the similar problems of people to people recommendation. It generates high quality expert's profiles via integrating research expertise, co-author network characteristics and researchers' institutional connectivity (local and global) through a SVM-Rank based information merging mechanism to perform intelligent matching. The generated comprehensive profiles alleviate information asymmetry and the multiple similarity measures overcome problems related to information overloading. The proposed method has been implemented in ScholarMate research network (www.scholarmate.com) which is a research 2.0 innovation, promoting research collaboration in virtual scientific community.
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a weighted topic model enhanced approach for complementary Collaborator recommendation
Pacific Asia Conference on Information Systems, 2014Co-Authors: Chen Yang, Jianshan Sun, Thushari Silva, Xiaoyan Liu, Zhongsheng HuaAbstract:Collaborations among interdisciplinary scientists are playing an increasingly important role in science innovations. As it is very difficult for a researcher to master the full knowledge of his/her targeted research areas, how to find suitable Collaborators of complementary expertise has turned to be a key factor for researchers to succeed. With the expansion of the Web, the availability of sheer volume of information has resulted in information overload issue and posed significant challenges on determining appropriate scientists to collaborate with effectively for research opportunities. However, current studies on Collaborator recommendation ignored this phenomenon and particularly overlooked the complementarity of their expertise within a restrictive context, i.e. for a given funding proposal or a research manuscript draft. In this study we propose a complementary expertise analysis enhanced approach to retrieval experts for research collaboration. It produces recommendation list using a heuristic greedy algorithm based on probabilistic topic model, and generates experts who ought to be complemented in expertise as well as to have good ability. The proposed method has been implemented in ScholarMate research community (www.scholarmate.com). We have conducted a user study to verify the effectiveness of the proposed approach and the preliminary results show its good performance comparing to the benchmarks.
Aprillia Vira - One of the best experts on this subject based on the ideXlab platform.
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Penjatuhan Sanksi Pidana di Bawah Ketentuan Minimun Khusus terhadap Justice Collaborator dalam Perkara Tindak Pidana KorupsiPenjatuhan Sanksi Pidana di Bawah Ketentuan Minimun Khusus terhadap Justice Collaborator dalam Perkara Tindak Pidana Korupsi
UNKNOWN, 2020Co-Authors: Aprillia ViraAbstract:Skripsi ini membahas konsep dan ketentuan tentang justice Collaborator dalam sistem peradilan pidana di Indonesia. Metode penelitian yang digunakan dalam skripsi ini adalah penelitian yuridis normatif. Kedudukan Tripeni Irianto Putro sebagai justice Collaborator dalam kasus korupsi Dana Bantuan Sosial (Bansos), Bantuan Daerah Bawahan (BDB), Bantuan Operasional Sekolah (BOS), tunggakan Dana Bagi Hasil (DBH) dan penyertaan modal pada sejumlah Badan Usaha Milik Daerah (BUMD) pada Pemerintah Provinsi Sumatera Utara dibahas sebagai bahan analisis dalam skripsi ini. Pengaturan mengenai justice Collaborator dapat di temukan dalam SEMA No. 04 Tahun 2011 tentang Perlakuan Bagi Pelapor Tindak Pidana (Whistleblower) dan Saksi Pelaku yang Bekerja Sama (Justice Collaborator) di dalam Perkara Tindak Pidana Tertentu, Peraturan Bersama Menteri Hukum dan Hak Asasi Manusia Republik Indonesia, Jaksa Agung Republik Indonesia, Kepala Kepolisian Negara Republik Indonesia, Komisi Pemberantasan Korupsi Republik Indonesia, dan Ketua Lembaga Perlindungan Saksi dan Korban Republik Indonesia Nomor M.HH-11.HM.03.02.th.2011, Nomor PER- 045/A/JA/12/2011, Nomor 1 Tahun 2011, Nomor KEPB-02/01-55/12/2011, Nomor 4 Tahun 2011 tentang Perlindungan bagi Pelapor, Saksi Pelapor, dan Saksi Pelaku dan Undang-Undang Nomor 13 Tahun 2006 yang kemudian mengalami perubahan menjadi Undang-Undang Nomor 31 Tahun 2014 tentang Perubahan atas Undang-Undang Nomor 13 Tahun 2006 tentang Perlindungan Saksi dan Korban. Dari hasil analisis diperoleh kesimpulan bahwa Tripeni memiliki peran dalam mengungkap kasus tersebut. Pada dasarnya Tripeni akan mendapatkan perlindungan dan penghargaan, seperti keringanan hukuman. Namun, pada saat dijatuhi hukuman, hakim tidak boleh menjatuhkan pidana di bawah ketentuan undang-undang khusus yang mengatur yaitu Undang-Undang Pemberantasan Tindak Pidana Korupsi
Stasa Milojevic - One of the best experts on this subject based on the ideXlab platform.
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modes of collaboration in modern science beyond power laws and preferential attachment
Journal of the Association for Information Science and Technology, 2010Co-Authors: Stasa MilojevicAbstract:The goal of the study was to determine the underlying processes leading to the observed Collaborator distribution in modern scientific fields, with special attention to nonpower-law behavior. Nanoscience is used as a case study of a modern interdisciplinary field and its coauthorship network for 2000–2004 period is constructed from the NanoBank database. We find three collaboration modes that correspond to three distinct ranges in the distribution of Collaborators: (1) for authors with fewer than 20 Collaborators (the majority) preferential attachment does not hold and they form a log-normal “hook” instead of a power law; (2) authors with more than 20 Collaborators benefit from preferential attachment and form a power law tail; and (3) authors with between 250 and 800 Collaborators are more frequent than expected because of the hyperauthorship practices in certain subfields. © 2010 Wiley Periodicals, Inc.
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modes of collaboration in modern science beyond power laws and preferential attachment
arXiv: Physics and Society, 2010Co-Authors: Stasa MilojevicAbstract:The goal of the study is to determine the underlying processes leading to the observed Collaborator distribution in modern scientific fields, with special attention to non-power law behavior. Nanoscience is used as a case study of a modern interdisciplinary field, and its coauthorship network for 2000-04 period is constructed from NanoBank database. We find three collaboration modes that correspond to three distinct ranges in the distribution of Collaborators: (1) for authors with fewer than 20 Collaborators (the majority) preferential attachment does not hold and they form a log-normal "hook" instead of a power law, (2) authors with more than 20 Collaborators benefit from preferential attachment and form a power law tail, and (3) authors with between 250 and 800 Collaborators are more frequent than expected because of the hyperauthorship practices in certain subfields.