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MEDLIB-L  July 2019, Week 3

MEDLIB-L July 2019, Week 3

Subject:

[bims-librar] 2019-07-21, eleven selections

From:

Thomas Krichel <[log in to unmask]>

Reply-To:

Thomas Krichel <[log in to unmask]>

Date:

Sun, 21 Jul 2019 05:24:25 +0000

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bims-librar Biomed News on Biomedical librarianship
─────────────────────────────┐
Issue of 2019‒07‒21 │
eleven papers selected by │
Thomas Krichel (Open Library │
 Society) │
 http://e.biomed.news/librar
                             │
                             │
                             └──────────────────────────────────────────────────
────────────────────────────────────────────────────────────────────────────────

 1. Are paper print scientific journals doomed?
 2. The plan to mine the world's research papers.
 3. Towards cross-platform interoperability for machine-assisted text
     annotation.
 4. Resources for assigning MeSH IDs to Japanese medical terms.
 5. YouTube™ as a source of information on food poisoning.
 6. Adolescents' Use of Digital Technologies and Preferences for Mobile
     Health Coaching in Public Mental Health Settings.
 7. Evaluating and providing quality health information for adolescents
     and young adults with cancer.
 8. Document vectorization method using network information of words.
 9. Automated classification platform for the identification of otitis
     media using optical coherence tomography.
10. Biotea-2-Bioschemas, facilitating structured markup for semantically
     annotated scholarly publications.
11. The digital age: A scoping review of nursing students' perceptions of
     the use of online discussion boards.

────────────────────────────────────────────────────────────────────────────────

                      Foot Ankle Surg. 2019 Jul 08. pii: S1268-7731(19)30106-7.
 1. Are paper print scientific journals doomed?
   Richter M
  DOI: https://doi.org/10.1016/j.fas.2019.07.001
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31320207

                                             Nature. 2019 Jul;571(7765): 316-318
 2. The plan to mine the world's research papers.
   Pulla P
   Keywords: Computer science; Databases; Developing world; Publishing
  DOI: https://doi.org/10.1038/d41586-019-02142-1
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31316198

                                            Genomics Inform. 2019 Jun;17(2): e19
 3. Towards cross-platform interoperability for machine-assisted text
     annotation.
   Eckart de Castilho R, Ide N, Kim JD, Klie JC, Suderman K
  In this paper we investigate cross-platform interoperability for natural
  language processing (NLP) and, in particular, annotation of textual
  resources, with an eye toward identifying the design elements of annotation
  models and processes that are particularly problematic for, or amenable to,
  enabling seamless communication across different platforms. The study is
  conducted in the context of a specific annotation methodology, namely
  machine-assisted interactive annotation (also known as human-in-the-loop
  annotation). This methodology requires the ability to freely combine
  resources from different document repositories, access a wide array of NLP
  tools that automatically annotate corpora for various linguistic phenomena,
  and use a sophisticated annotation editor that enables interactive manual
  annotation coupled with on-the-fly machine learning. We consider three
  independently developed platforms, each of which utilizes a different model
  for representing annotations over text, and each of which performs a
  different role in the process.
   Keywords: annotation software; biomedical text mining; interoperability
  DOI: https://doi.org/10.5808/GI.2019.17.2.e19
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31307134

                                            Genomics Inform. 2019 Jun;17(2): e16
 4. Resources for assigning MeSH IDs to Japanese medical terms.
   Tateisi Y
  Medical Subject Headings (MeSH), a medical thesaurus created by the National
  Library of Medicine (NLM), is a useful resource for natural language
  processing (NLP). In this article, the current status of the Japanese
  version of Medical Subject Headings (MeSH) is reviewed. Online investigation
  found that Japanese-English dictionaries, which assign MeSH information to
  applicable terms, but use them for NLP, were found to be difficult to
  access, due to license restrictions. Here, we investigate an open-source
  Japanese-English glossary as an alternative method for assigning MeSH IDs to
  Japanese terms, to obtain preliminary data for NLP proof-of-concept.
   Keywords: Japanese language resource; MeSH; medical vocabulary
  DOI: https://doi.org/10.5808/GI.2019.17.2.e16
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31307131

                                      BMC Public Health. 2019 Jul 16. 19(1): 952
 5. YouTube™ as a source of information on food poisoning.
   Li M, Yan S, Yang D, Li B, Cui W
  BACKGROUND: YouTube™ ( http://www.youtube.com ), as a very popular video
  site around the world, is increasingly being used for health information.
  The objectives of this review were to assess the overall usefulness of
  information on food poisoning presented on YouTube™ for patients.
   METHODS: The YouTube™ website was systematically searched using the key
  words "food poisoning", "foodborne diseases" and "foodborne illness". One
  hundred and sixty videos meet the inclusion criteria. Two independent
  reviewers scored the videos utilizing a customized usefulness scoring scheme
  separately and assessed the video duration, views, days since upload, likes,
  and dislikes. The videos were categorized as education, entertainment, News
  & Politics and People & Blogs. A usefulness score was devised to assess
  video quality and to categorize the videos into "slightly useful", "useful",
  and "very useful".
   RESULTS: Most videos were educational 66 (41.3%). Educational videos had
  significantly higher scores, but had no significant differences in likes,
  views or views/day. Over half of the videos (97/160) were categorized as
  "useful". The mean posted days (885.2 ± 756.1 vs 1338.0 ± 887.0, P = 0.043)
  and the mean duration of video (12.8 ± 13.9 vs 3.5 ± 3.4, P < 0.001) were
  both significantly different in the very useful group compared with the
  slightly useful group. There was no correlation between usefulness and the
  number of likes, the number of dislikes, the number of views, or views/day.
   CONCLUSION: YouTube™ is a promising source of information regarding food
  poisoning. Educational videos are of highest usefulness. Considering that
  there is a lot of low-credibility information, consumers need to be guided
  to reliable videos in the field of healthcare information.
   Keywords: Epidemiology; Food poisoning; Foodborne diseases; Foodborne
    illness
  DOI: https://doi.org/10.1186/s12889-019-7297-9
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31311523

                                                Front Public Health. 2019 ;7 178
 6. Adolescents' Use of Digital Technologies and Preferences for Mobile
     Health Coaching in Public Mental Health Settings.
   Aschbrenner KA, Naslund JA, Tomlinson EF, Kinney A, Pratt SI, Brunette MF
  Objective: Youth with mental illnesses often engage in unhealthy behaviors
  associated with early mortality from physical diseases in adulthood, but
  interventions to support positive health behaviors are rarely offered as
  part of routine mental health care for this group. Digital health technology
  that is desirable, accessible, and affordable has the potential to address
  health behaviors in public mental health settings where many adolescents
  with severe mental health problems receive care. The aims of this study were
  to examine how adolescents receiving public mental health services use
  digital technology and social media and to explore their preferences using
  technology to support health and wellness. Methods: Using a convergent
  parallel mixed methods design, we surveyed adolescents ages 13-18 from four
  community mental health centers in one state and conducted focus group
  interviews to explore their perspectives on using digital technology and
  social media to receive health coaching and connect with peers to support
  healthy behaviors. The survey and focus group data were merged to inform the
  future development of a digital health intervention for adolescents
  receiving public mental health services. Results: Of 121 survey respondents
  (mean age 15.2, SD = 1.5), 92% had a cell phone, 79% had a smartphone, 90%
  used text messaging, and 98% used social media. Focus group interviews
  revealed that adolescents were interested in receiving strengths-based
  mobile health coaching, and they preferred structured online peer-to-peer
  interactions in which a professional moderator promotes positive connections
  and adherence to privacy guidelines. Conclusions: Adolescents receiving
  public mental health services in this study had access to smartphones and
  were frequent social media users. These data suggest that digital health
  interventions to promote health and wellness among adolescents may be
  scalable in community mental health settings. Adolescent participants
  suggested that digital health interventions for this group should focus on
  strengths and online peer support for health promotion should include a
  professional moderator to foster and manage peer-to-peer interactions.
   Keywords: adolescents; digital health interventions; health promotion;
    mental illness; mobile health coaching; peer-to-peer support; social media
  DOI: https://doi.org/10.3389/fpubh.2019.00178
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31312629

                                       Pediatr Blood Cancer. 2019 Jul 19. e27931
 7. Evaluating and providing quality health information for adolescents
     and young adults with cancer.
   Grace JG, Schweers L, Anazodo A, Freyer DR
  Adolescents and young adults (AYAs, 15-39 years old) are an ideal population
  to benefit from the ever-expanding number and variety of cancer information
  and health resources available via the Internet and other digital platforms.
  However, the ability of individual AYAs to fully utilize such resources
  depends on their degree of health literacy. Across the trajectory of cancer
  care, an important role for the oncology clinician is assisting AYAs and
  caregivers in accessing quality health information consistent with their
  level of health literacy. Working from the premise that all AYAs with cancer
  and their caregivers deserve to be empowered with maximal knowledge about
  their condition, this review provides information to assist oncology
  clinicians in (1) understanding the variety of contemporary online resources
  that are currently available, including their strengths and limitations; (2)
  evaluating the quality of health information; and (3) recommending specific
  health information resources to their AYA patients.
   Keywords: adolescent and young adult; health communication; health
    education; health information; health literacy; health promotion; patient
    education
  DOI: https://doi.org/10.1002/pbc.27931
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31322817

                                                 PLoS One. 2019 ;14(7): e0219389
 8. Document vectorization method using network information of words.
   Lee SY
  We propose a new method for vectorizing a document using the relational
  characteristics of the words in the document. For the relational
  characteristics, we use two types of relational information of a word: 1)
  the centrality measures of the word and 2) the number of times that the word
  is used with other words in the document. We propose these methods mainly
  because information regarding the relations of a word to other words in the
  document are likely to better represent the unique characteristics of the
  document than the frequency-based methods (e.g., term frequency and term
  frequency-inverse document frequency). In experiments using a corpus
  consisting of 14 documents pertaining to four different topics, the results
  of clustering analysis using cosine similarities between vectors of
  relational information for words were comparable to (and more accurate than
  in some cases) those obtained using vectors of frequency-based methods. The
  clustering analysis using vectors of tie weights between words yielded the
  most accurate result. Although the results obtained for the small dataset
  used in this study can hardly be generalized, they suggest that at least in
  some cases, vectorization of a document using the relational characteristics
  of the words can provide more accurate results than the frequency-based
  vectors.
  DOI: https://doi.org/10.1371/journal.pone.0219389
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31318881

                                                       NPJ Digit Med. 2019 ;2 22
 9. Automated classification platform for the identification of otitis
     media using optical coherence tomography.
   Monroy GL, Won J, Dsouza R, Pande P, Hill MC, Porter RG, Novak MA, Spillman
   DR, Boppart SA
  The diagnosis and treatment of otitis media (OM), a common childhood
  infection, is a significant burden on the healthcare system. Diagnosis
  relies on observer experience via otoscopy, although for non-specialists or
  inexperienced users, accurate diagnosis can be difficult. In past studies,
  optical coherence tomography (OCT) has been used to quantitatively
  characterize disease states of OM, although with the involvement of experts
  to interpret and correlate image-based indicators of infection with clinical
  information. In this paper, a flexible and comprehensive framework is
  presented that automatically extracts features from OCT images, classifies
  data, and presents clinically relevant results in a user-friendly platform
  suitable for point-of-care and primary care settings. This framework was
  used to test the discrimination between OCT images of normal controls, ears
  with biofilms, and ears with biofilms and middle ear fluid (effusion).
  Predicted future performance of this classification platform returned
  promising results (90%+ accuracy) in various initial tests. With integration
  into patient healthcare workflow, users of all levels of medical experience
  may be able to collect OCT data and accurately identify the presence of
  middle ear fluid and/or biofilms.
   Keywords: Biomedical engineering; Imaging and sensing; Machine learning;
    Paediatric research; Translational research
  DOI: https://doi.org/10.1038/s41746-019-0094-0
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31304369

                                            Genomics Inform. 2019 Jun;17(2): e14
10. Biotea-2-Bioschemas, facilitating structured markup for semantically
     annotated scholarly publications.
   Garcia L, Giraldo O, Garcia A, Rebholz-Schuhmann D
  The total number of scholarly publications grows day by day, making it
  necessary to explore and use simple yet effective ways to expose their
  metadata. Schema.org supports adding structured metadata to web pages via
  markup, making it easier for data providers but also for search engines to
  provide the right search results. Bioschemas is based on the standards of
  schema.org, providing new types, properties and guidelines for metadata,
  i.e., providing metadata profiles tailored to the Life Sciences domain. Here
  we present our proposed contribution to Bioschemas (from the project
  "Biotea"), which supports metadata contributions for scholarly publications
  via profiles and web components. Biotea comprises a semantic model to
  represent publications together with annotated elements recognized from the
  scientific text; our Biotea model has been mapped to schema.org following
  Bioschemas standards.
   Keywords: biomedical text mining; literature metadata; semantic
    annotations; structured data; web page markup
  DOI: https://doi.org/10.5808/GI.2019.17.2.e14
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31307129

                     Nurse Educ Today. 2019 Jul 05. pii: S0260-6917(19)30295-3.
11. The digital age: A scoping review of nursing students' perceptions of
     the use of online discussion boards.
   Massey D, Johnston ANB, Byrne JH, Osborne DM
  DOI: https://doi.org/10.1016/j.nedt.2019.06.013
  URL: http://www.ncbi.nlm.nih.gov/pubmed/31306851

────────────────────────────────────────────────────────────────────────────────

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February 2012, Week 3
February 2012, Week 2
February 2012, Week 1
January 2012, Week 5
January 2012, Week 4
January 2012, Week 3
January 2012, Week 2
January 2012, Week 1
December 2011, Week 5
December 2011, Week 4
December 2011, Week 3
December 2011, Week 2
December 2011, Week 1
November 2011, Week 5
November 2011, Week 4
November 2011, Week 3
November 2011, Week 2
November 2011, Week 1
October 2011, Week 5
October 2011, Week 4
October 2011, Week 3
October 2011, Week 2
October 2011, Week 1
September 2011, Week 5
September 2011, Week 4
September 2011, Week 3
September 2011, Week 2
September 2011, Week 1
August 2011, Week 5
August 2011, Week 4
August 2011, Week 3
August 2011, Week 2
August 2011, Week 1
July 2011, Week 5
July 2011, Week 4
July 2011, Week 3
July 2011, Week 2
July 2011, Week 1
June 2011, Week 5
June 2011, Week 4
June 2011, Week 3
June 2011, Week 2
June 2011, Week 1
May 2011, Week 5
May 2011, Week 4
May 2011, Week 3
May 2011, Week 2
May 2011, Week 1
April 2011, Week 5
April 2011, Week 4
April 2011, Week 3
April 2011, Week 2
April 2011, Week 1
March 2011, Week 5
March 2011, Week 4
March 2011, Week 3
March 2011, Week 2
March 2011, Week 1
February 2011, Week 4
February 2011, Week 3
February 2011, Week 2
February 2011, Week 1
January 2011, Week 5
January 2011, Week 4
January 2011, Week 3
January 2011, Week 2
January 2011, Week 1
December 2010, Week 5
December 2010, Week 4
December 2010, Week 3
December 2010, Week 2
December 2010, Week 1
November 2010, Week 5
November 2010, Week 4
November 2010, Week 3
November 2010, Week 2
November 2010, Week 1
October 2010, Week 5
October 2010, Week 4
October 2010, Week 3
October 2010, Week 2
October 2010, Week 1
September 2010, Week 5
September 2010, Week 4
September 2010, Week 3
September 2010, Week 2
September 2010, Week 1
August 2010, Week 5
August 2010, Week 4
August 2010, Week 3
August 2010, Week 2
August 2010, Week 1
July 2010, Week 5
July 2010, Week 4
July 2010, Week 3
July 2010, Week 2
July 2010, Week 1
June 2010, Week 5
June 2010, Week 4
June 2010, Week 3
June 2010, Week 2
June 2010, Week 1
May 2010, Week 5
May 2010, Week 4
May 2010, Week 3
May 2010, Week 2
May 2010, Week 1
April 2010, Week 5
April 2010, Week 4
April 2010, Week 3
April 2010, Week 2
April 2010, Week 1
March 2010, Week 5
March 2010, Week 4
March 2010, Week 3
March 2010, Week 2
March 2010, Week 1
February 2010, Week 4
February 2010, Week 3
February 2010, Week 2
February 2010, Week 1
January 2010, Week 5
January 2010, Week 4
January 2010, Week 3
January 2010, Week 2
January 2010, Week 1
December 2009, Week 5
December 2009, Week 4
December 2009, Week 3
December 2009, Week 2
December 2009, Week 1
November 2009, Week 5
November 2009, Week 4
November 2009, Week 3
November 2009, Week 2
November 2009, Week 1
October 2009, Week 5
October 2009, Week 4
October 2009, Week 3
October 2009, Week 2
October 2009, Week 1
September 2009, Week 5
September 2009, Week 4
September 2009, Week 3
September 2009, Week 2
September 2009, Week 1
August 2009, Week 5
August 2009, Week 4
August 2009, Week 3
August 2009, Week 2
August 2009, Week 1
July 2009, Week 5
July 2009, Week 4
July 2009, Week 3
July 2009, Week 2
July 2009, Week 1
June 2009, Week 5
June 2009, Week 4
June 2009, Week 3
June 2009, Week 2
June 2009, Week 1
May 2009, Week 5
May 2009, Week 4
May 2009, Week 3
May 2009, Week 2
May 2009, Week 1
April 2009, Week 5
April 2009, Week 4
April 2009, Week 3
April 2009, Week 2
April 2009, Week 1
March 2009, Week 5
March 2009, Week 4
March 2009, Week 3
March 2009, Week 2
March 2009, Week 1
February 2009, Week 4
February 2009, Week 3
February 2009, Week 2
February 2009, Week 1
January 2009, Week 5
January 2009, Week 4
January 2009, Week 3
January 2009, Week 2
January 2009, Week 1
December 2008, Week 5
December 2008, Week 4
December 2008, Week 3
December 2008, Week 2
December 2008, Week 1
November 2008, Week 5
November 2008, Week 4
November 2008, Week 3
November 2008, Week 2
November 2008, Week 1
October 2008, Week 5
October 2008, Week 4
October 2008, Week 3
October 2008, Week 2
October 2008, Week 1
September 2008, Week 5
September 2008, Week 4
September 2008, Week 3
September 2008, Week 2
September 2008, Week 1
August 2008, Week 5
August 2008, Week 4
August 2008, Week 3
August 2008, Week 2
August 2008, Week 1
July 2008, Week 5
July 2008, Week 4
July 2008, Week 3
July 2008, Week 2
July 2008, Week 1
June 2008, Week 5
June 2008, Week 4
June 2008, Week 3
June 2008, Week 2
June 2008, Week 1
May 2008, Week 5
May 2008, Week 4
May 2008, Week 3
May 2008, Week 2
May 2008, Week 1
April 2008, Week 5
April 2008, Week 4
April 2008, Week 3
April 2008, Week 2
April 2008, Week 1
March 2008, Week 5
March 2008, Week 4
March 2008, Week 3
March 2008, Week 2
March 2008, Week 1
February 2008, Week 5
February 2008, Week 4
February 2008, Week 3
February 2008, Week 2
February 2008, Week 1
January 2008, Week 5
January 2008, Week 4
January 2008, Week 3
January 2008, Week 2
January 2008, Week 1
December 2007, Week 5
December 2007, Week 4
December 2007, Week 3
December 2007, Week 2
December 2007, Week 1
November 2007, Week 5
November 2007, Week 4
November 2007, Week 3
November 2007, Week 2
November 2007, Week 1
October 2007, Week 5
October 2007, Week 4
October 2007, Week 3
October 2007, Week 2
October 2007, Week 1
September 2007, Week 5
September 2007, Week 4
September 2007, Week 3
September 2007, Week 2
September 2007, Week 1
August 2007, Week 5
August 2007, Week 4
August 2007, Week 3
August 2007, Week 2
August 2007, Week 1
July 2007, Week 5
July 2007, Week 4
July 2007, Week 3
July 2007, Week 2
July 2007, Week 1
June 2007, Week 5
June 2007, Week 4
June 2007, Week 3
June 2007, Week 2
June 2007, Week 1
May 2007, Week 5
May 2007, Week 4
May 2007, Week 3
May 2007, Week 2
May 2007, Week 1
April 2007, Week 4
April 2007, Week 3
April 2007, Week 2
April 2007, Week 1
March 2007, Week 5
March 2007, Week 4
March 2007, Week 3
March 2007, Week 2
March 2007, Week 1
February 2007, Week 4
February 2007, Week 3
February 2007, Week 2
February 2007, Week 1
January 2007, Week 5
January 2007, Week 4
January 2007, Week 3
January 2007, Week 2
January 2007, Week 1
December 2006, Week 5
December 2006, Week 4
December 2006, Week 3
December 2006, Week 2
December 2006, Week 1
November 2006, Week 5
November 2006, Week 4
November 2006, Week 3
November 2006, Week 2
November 2006, Week 1
October 2006, Week 5
October 2006, Week 4
October 2006, Week 3
October 2006, Week 2
October 2006, Week 1
September 2006, Week 5
September 2006, Week 4
September 2006, Week 3
September 2006, Week 2
September 2006, Week 1
August 2006, Week 5
August 2006, Week 4
August 2006, Week 3
August 2006, Week 2
August 2006, Week 1
July 2006, Week 5
July 2006, Week 4
July 2006, Week 3
July 2006, Week 2
July 2006, Week 1
June 2006, Week 5
June 2006, Week 4
June 2006, Week 3
June 2006, Week 2
June 2006, Week 1
May 2006, Week 5
May 2006, Week 4
May 2006, Week 3
May 2006, Week 2
May 2006, Week 1
April 2006, Week 4
April 2006, Week 3
April 2006, Week 2
April 2006, Week 1
March 2006, Week 5
March 2006, Week 4
March 2006, Week 3
March 2006, Week 2
March 2006, Week 1
February 2006, Week 4
February 2006, Week 3
February 2006, Week 2
February 2006, Week 1
January 2006, Week 5
January 2006, Week 4
January 2006, Week 3
January 2006, Week 2
January 2006, Week 1
December 2005, Week 5
December 2005, Week 4
December 2005, Week 3
December 2005, Week 2
December 2005, Week 1
November 2005, Week 5
November 2005, Week 4
November 2005, Week 3
November 2005, Week 2
November 2005, Week 1
October 2005, Week 5
October 2005, Week 4
October 2005, Week 3
October 2005, Week 2
October 2005, Week 1
September 2005, Week 5
September 2005, Week 4
September 2005, Week 3
September 2005, Week 2
September 2005, Week 1
August 2005, Week 5
August 2005, Week 4
August 2005, Week 3
August 2005, Week 2
August 2005, Week 1
July 2005, Week 5
July 2005, Week 4
July 2005, Week 3
July 2005, Week 2
July 2005, Week 1
June 2005, Week 5
June 2005, Week 4
June 2005, Week 3
June 2005, Week 2
June 2005, Week 1
May 2005, Week 5
May 2005, Week 4
May 2005, Week 3
May 2005, Week 2
May 2005, Week 1
April 2005, Week 5
April 2005, Week 4
April 2005, Week 3
April 2005, Week 2
April 2005, Week 1
March 2005, Week 5
March 2005, Week 4
March 2005, Week 3
March 2005, Week 2
March 2005, Week 1
February 2005, Week 4
February 2005, Week 3
February 2005, Week 2
February 2005, Week 1
January 2005, Week 5
January 2005, Week 4
January 2005, Week 3
January 2005, Week 2
January 2005, Week 1
December 2004, Week 5
December 2004, Week 4
December 2004, Week 3
December 2004, Week 2
December 2004, Week 1
November 2004, Week 5
November 2004, Week 4
November 2004, Week 3
November 2004, Week 2
November 2004, Week 1
October 2004, Week 5
October 2004, Week 4
October 2004, Week 3
October 2004, Week 2
October 2004, Week 1
September 2004, Week 5
September 2004, Week 4
September 2004, Week 3
September 2004, Week 2
September 2004, Week 1
August 2004, Week 5
August 2004, Week 4
August 2004, Week 3
August 2004, Week 2
August 2004, Week 1
July 2004, Week 5
July 2004, Week 4
July 2004, Week 3
July 2004, Week 2
July 2004, Week 1
June 2004, Week 5
June 2004, Week 4
June 2004, Week 3
June 2004, Week 2
June 2004, Week 1
May 2004, Week 4
May 2004, Week 3
May 2004, Week 2
May 2004, Week 1
April 2004, Week 5
April 2004, Week 4
April 2004, Week 3
April 2004, Week 2
April 2004, Week 1
March 2004, Week 5
March 2004, Week 4
March 2004, Week 3
March 2004, Week 2
March 2004, Week 1
February 2004, Week 5
February 2004, Week 4
February 2004, Week 3
February 2004, Week 2
February 2004, Week 1
January 2004, Week 5
January 2004, Week 4
January 2004, Week 3
January 2004, Week 2
January 2004, Week 1
December 2003, Week 5
December 2003, Week 4
December 2003, Week 3
December 2003, Week 2
December 2003, Week 1
November 2003, Week 5
November 2003, Week 4
November 2003, Week 3
November 2003, Week 2
November 2003, Week 1
October 2003, Week 5
October 2003, Week 4
October 2003, Week 3
October 2003, Week 2
October 2003, Week 1
September 2003, Week 5
September 2003, Week 4
September 2003, Week 3
September 2003, Week 2
September 2003, Week 1
August 2003, Week 5
August 2003, Week 4
August 2003, Week 3
August 2003, Week 2
August 2003, Week 1
July 2003, Week 5
July 2003, Week 4
July 2003, Week 3
July 2003, Week 2
July 2003, Week 1
June 2003, Week 5
June 2003, Week 4
June 2003, Week 3
June 2003, Week 2
June 2003, Week 1
May 2003, Week 5
May 2003, Week 4
May 2003, Week 3
May 2003, Week 2
May 2003, Week 1
April 2003, Week 5
April 2003, Week 4
April 2003, Week 3
April 2003, Week 2
April 2003, Week 1
March 2003, Week 5
March 2003, Week 4
March 2003, Week 3
March 2003, Week 2
March 2003, Week 1
February 2003, Week 4
February 2003, Week 3
February 2003, Week 2
February 2003, Week 1
January 2003, Week 5
January 2003, Week 4
January 2003, Week 3
January 2003, Week 2
January 2003, Week 1
December 2002, Week 5
December 2002, Week 4
December 2002, Week 3
December 2002, Week 2
December 2002, Week 1
November 2002, Week 5
November 2002, Week 4
November 2002, Week 3
November 2002, Week 2
November 2002, Week 1
October 2002, Week 5
October 2002, Week 4
October 2002, Week 3
October 2002, Week 2
October 2002, Week 1
September 2002, Week 5
September 2002, Week 4
September 2002, Week 3
September 2002, Week 2
September 2002, Week 1
August 2002, Week 5
August 2002, Week 4
August 2002, Week 3
August 2002, Week 2
August 2002, Week 1
July 2002, Week 5
July 2002, Week 4
July 2002, Week 3
July 2002, Week 2
July 2002, Week 1
June 2002, Week 5
June 2002, Week 4
June 2002, Week 3
June 2002, Week 2
June 2002, Week 1
May 2002, Week 5
May 2002, Week 4
May 2002, Week 3
May 2002, Week 2
May 2002, Week 1
April 2002, Week 5
April 2002, Week 4
April 2002, Week 3
April 2002, Week 2
April 2002, Week 1
March 2002, Week 5
March 2002, Week 4
March 2002, Week 3
March 2002, Week 2
March 2002, Week 1
February 2002, Week 4
February 2002, Week 3
February 2002, Week 2
February 2002, Week 1
January 2002, Week 5
January 2002, Week 4
January 2002, Week 3
January 2002, Week 2
January 2002, Week 1
December 2001, Week 5
December 2001, Week 4
December 2001, Week 3
December 2001, Week 2
December 2001, Week 1
November 2001, Week 5
November 2001, Week 4
November 2001, Week 3
November 2001, Week 2
November 2001, Week 1
October 2001, Week 5
October 2001, Week 4
October 2001, Week 3
October 2001, Week 2
October 2001, Week 1
September 2001, Week 5
September 2001, Week 4
September 2001, Week 3
September 2001, Week 2
September 2001, Week 1
August 2001, Week 5
August 2001, Week 4
August 2001, Week 3
August 2001, Week 2
August 2001, Week 1
July 2001, Week 5
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July 2001, Week 3
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July 2001, Week 1
June 2001, Week 5
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June 2001, Week 3
June 2001, Week 2
June 2001, Week 1
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May 2001, Week 2
May 2001, Week 1
April 2001, Week 5
April 2001, Week 4
April 2001, Week 3
April 2001, Week 2
April 2001, Week 1
March 2001, Week 5
March 2001, Week 4
March 2001, Week 3
March 2001, Week 2
March 2001, Week 1
February 2001, Week 4
February 2001, Week 3
February 2001, Week 2
February 2001, Week 1
January 2001, Week 5
January 2001, Week 4
January 2001, Week 3
January 2001, Week 2
January 2001, Week 1
December 2000, Week 5
December 2000, Week 4
December 2000, Week 3
December 2000, Week 2
December 2000, Week 1
November 2000, Week 5
November 2000, Week 4
November 2000, Week 3
November 2000, Week 2
November 2000, Week 1
October 2000, Week 5
October 2000, Week 4
October 2000, Week 3
October 2000, Week 2
October 2000, Week 1
September 2000, Week 5
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September 2000, Week 3
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April 2000, Week 5
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April 2000, Week 1
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March 2000, Week 3
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February 2000, Week 4
February 2000, Week 3
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February 2000, Week 1
January 2000, Week 5
January 2000, Week 4
January 2000, Week 3
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January 2000, Week 1
December 1999, Week 5
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December 1999, Week 3
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December 1999, Week 1
November 1999, Week 5
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November 1999, Week 3
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May 1999, Week 1
April 1999, Week 5
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April 1999, Week 3
April 1999, Week 2
April 1999, Week 1
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March 1999, Week 4
March 1999, Week 3
March 1999, Week 2
March 1999, Week 1
February 1999, Week 4
February 1999, Week 3
February 1999, Week 2
February 1999, Week 1
January 1999, Week 5
January 1999, Week 4
January 1999, Week 3
January 1999, Week 2
January 1999, Week 1
December 1998, Week 5
December 1998, Week 4
December 1998, Week 3
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December 1998, Week 1
November 1998, Week 5
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April 1998, Week 5
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April 1998, Week 1
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March 1998, Week 3
March 1998, Week 2
March 1998, Week 1
February 1998, Week 4
February 1998, Week 3
February 1998, Week 2
February 1998, Week 1
January 1998, Week 5
January 1998, Week 4
January 1998, Week 3
January 1998, Week 2
January 1998, Week 1
December 1997, Week 5
December 1997, Week 4
December 1997, Week 3
December 1997, Week 2
December 1997, Week 1
November 1997, Week 5
November 1997, Week 4
November 1997, Week 3
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November 1997, Week 1
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October 1997, Week 1
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April 1997, Week 1
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March 1997, Week 1
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January 1997, Week 5
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January 1997, Week 1
December 1996, Week 5
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December 1995, Week 5
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