Computer-based evaluation of gender identification and morphologic classification of tooth face and arch forms

2002 ◽  
Vol 88 (6) ◽  
pp. 578-584 ◽  
Author(s):  
Semih Berksun ◽  
Ufuk Hasanreisoğlu ◽  
Burak Gökdeniz
Keyword(s):  
Gender Identification ◽  
Computer Based ◽  
Arch Forms ◽  
Morphologic Classification

Which way records management research?

2020 ◽  
Vol 39 (1) ◽  
pp. 29-45
Author(s):  
Omwoyo Bosire Onyancha
Keyword(s):  
Information Management ◽  
Health Sector ◽  
Records Management ◽  
Medical Computing ◽  
Research Areas ◽  
The Social ◽  
Computer Based ◽  
Scopus Database ◽  
Broad Subject

This paper evaluates the keywords and subject areas in records management (RM) publications, as indexed in the Scopus database, with a view to mapping RM research from 1971 to 2018 so as to determine the direction of research in the field. A total of 4 762 documents were obtained from the Scopus database using the term records management and searching within the title, abstract and keywords fields. The data was analysed using VOSviewer software. The findings reveal that interest in RM research has grown as the volume of publications has continued to increase. Whereas there was no dominant area of research in the 1980s, as far as RM research is concerned, the main focus in the 2010s was the management of electronic health records, thereby signalling a shift in RM research from being just an information management exercise to being used for the management of records in the medical and health sector. Other popular research areas in the 2010s were health care, electronic medical record/s, information management, medical computing, information systems, and electronic document exchange. A classification of the RM publications according to Scopus’s broad subject fields revealed that RM research is mainly conducted in computer science, engineering, medicine, and the social sciences. The study predicts a slow growth in the number of RM publications in the next ten years (2019-2028), greater focus on RM in the health sector, and continued dominance of computer-based systems and electronic records as topics of RM research.

scholarly journals Perancangan Sistem Informasi Penggajian Pegawai Berbasis Java di Sekolah Menengah Kejuruan Nusantara Wisata Respati

2018 ◽  
Vol 3 (2) ◽  
pp. 160
Author(s):  
Meri Chrismes Aruan ◽  
Luh Putu Widya Adnyani
Keyword(s):  
Middle School ◽  
Information Technology ◽  
Information System ◽  
Information Systems ◽  
Employee Creativity ◽  
Microsoft Excel ◽  
Computer Based ◽  
The Impact

The development and progress of IT-based information technology is very rapidly developing and has a very important role. Information systems are a necessity for agencies to utilize information as a basis for data administration and processing. To meet these needs, the agency conducts activities related to computer-based information systems as a tool to increase employee creativity. This system is designed to handle the transaction of escort and payment salary calculations and can guarantee validiity, complete authorization, classification of assessments, timeliness of each payroll transaction. In the Middle School Nusantara Wisata Respati Middle School still uses a manual payroll system, which is Microsoft Excel, so that people who are not authorized to enter and view data and can change the impact will disrupt the activity in processing salary data. For this reason, it is necessary to design a Java-based payroll information system at the Respati Archipelago Tourism Middle School.

scholarly journals The Banff Working Group Classification of Definitive Polyomavirus Nephropathy: Morphologic Definitions and Clinical Correlations

2017 ◽  
Vol 29 (2) ◽  
pp. 680-693 ◽  
Author(s):  
Volker Nickeleit ◽  
Harsharan K. Singh ◽  
Parmjeet Randhawa ◽  
Cinthia B. Drachenberg ◽  
Ramneesh Bhatnagar ◽  
...  
Keyword(s):  
Repeated Measures ◽  
Working Group ◽  
Classification Scheme ◽  
Clinical Presentation ◽  
Interstitial Fibrosis ◽  
The United States ◽  
Systematic Analysis ◽  
Definition Of ◽  
Morphologic Classification

Polyomavirus nephropathy (PVN) is a common viral infection of renal allografts, with biopsy-proven incidence of approximately 5%. A generally accepted morphologic classification of definitive PVN that groups histologic changes, reflects clinical presentation, and facilitates comparative outcome analyses is lacking. Here, we report a morphologic classification scheme for definitive PVN from the Banff Working Group on Polyomavirus Nephropathy, comprising nine transplant centers in the United States and Europe. This study represents the largest systematic analysis of definitive PVN undertaken thus far. In a retrospective fashion, clinical data were collected from 192 patients and correlated with morphologic findings from index biopsies at the time of initial PVN diagnosis. Histologic features were centrally scored according to Banff guidelines, including additional semiquantitative histologic assessment of intrarenal polyomavirus replication/load levels. In-depth statistical analyses, including mixed effects repeated measures models and logistic regression, revealed two independent histologic variables to be most significantly associated with clinical presentation: intrarenal polyomavirus load levels and Banff interstitial fibrosis ci scores. These two statistically determined histologic variables formed the basis for the definition of three PVN classes that correlated strongest with three clinical parameters: presentation at time of index biopsy, serum creatinine levels/renal function over 24 months of follow-up, and graft failure. The PVN classes 1–3 as described here can easily be recognized in routine renal biopsy specimens. We recommend using this morphologic PVN classification scheme for diagnostic communication, especially at the time of index diagnosis, and in scientific studies to improve comparative data analysis.

scholarly journals Monitoring and Morphologic Classification of Pediatric Cataract Using Slit-Lamp-Adapted Photography

2017 ◽  
Vol 6 (6) ◽  
pp. 2 ◽  
Author(s):  
Erping Long ◽  
Zhuoling Lin ◽  
Jingjing Chen ◽  
Zhenzhen Liu ◽  
Qianzhong Cao ◽  
...  
Keyword(s):  
Slit Lamp ◽  
Pediatric Cataract ◽  
Morphologic Classification
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