24 research outputs found

    Launching a Novel Preclinical Infrastructure: Comparative Oncology Trials Consortium Directed Therapeutic Targeting of TNFΞ± to Cancer Vasculature

    Get PDF
    Background: Under the direction and sponsorship of the National Cancer Institute, we report on the first pre-clinical trial of the Comparative Oncology Trials Consortium (COTC). The COTC is a novel infrastructure to integrate cancers that naturally develop in pet dogs into the development path of new human drugs. Trials are designed to address questions challenging in conventional preclinical models and early phase human trials. Large animal spontaneous cancer models can be a valuable addition to successful studies of cancer biology and novel therapeutic drug, imaging and device development. Methodology/Principal Findings: Through this established infrastructure, the first trial of the COTC (COTC001) evaluated a targeted AAV-phage vector delivering tumor necrosis factor (RGD-A-TNF) to Ξ±V integrins on tumor endothelium. Trial progress and data was reviewed contemporaneously using a web-enabled electronic reporting system developed for the consortium. Dose-escalation in cohorts of 3 dogs (n = 24) determined an optimal safe dose (5 x 1012 transducing units intravenous) of RGD-A-TNF. This demonstrated selective targeting of tumor-associated vasculature and sparing of normal tissues assessed via serial biopsy of both tumor and normal tissue. Repetitive dosing in a cohort of 14 dogs, at the defined optimal dose, was well tolerated and led to objective tumor regression in two dogs (14%), stable disease in six (43%), and disease progression in six (43%) via Response Evaluation Criteria in Solid Tumors (RECIST). Conclusions/Significance: The first study of the COTC has demonstrated the utility and efficiency of the established infrastructure to inform the development of new cancer drugs within large animal naturally occurring cancer models. The preclinical evaluation of RGD-A-TNF within this network provided valuable and necessary data to complete the design of first-in-man studies

    Residual cancer burden after neoadjuvant chemotherapy and long-term survival outcomes in breast cancer: a multicentre pooled analysis of 5161 patients

    Get PDF

    ΠœΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹ΠΉ ΠΌΡƒΠ·Ρ‹ΠΊΠ°Π»ΡŒΠ½Ρ‹ΠΉ конкурс Π² Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ ΠΈΠΌΠΈΠ΄ΠΆΠ° страны провСдСния (Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ ЕвровидСния 2017)

    Get PDF
    Аннотация выпускной ΠΊΠ²Π°Π»ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Ρ‹ ΠžΡ€Π»ΠΎΠ² Никита Π‘Π΅Ρ€Π³Π΅Π΅Π²ΠΈΡ‡ Β«ΠœΠ•Π–Π”Π£ΠΠΠ ΠžΠ”ΠΠ«Π™ ΠœΠ£Π—Π«ΠšΠΠ›Π¬ΠΠ«Π™ КОНКУРБ Π’ Π€ΠžΠ ΠœΠ˜Π ΠžΠ’ΠΠΠ˜Π˜ Π˜ΠœΠ˜Π”Π–Π БВРАНЫ ΠŸΠ ΠžΠ’Π•Π”Π•ΠΠ˜Π― (НА ΠŸΠ Π˜ΠœΠ•Π Π• Π•Π’Π ΠžΠ’Π˜Π”Π•ΠΠ˜Π―-2017)Β» Н. Ρ€ΡƒΠΊ. - Π‘Ρ‹ΠΊΠΎΠ²Π° Π•Π»Π΅Π½Π° Π’Π»Π°Π΄ΠΈΠΌΠΈΡ€ΠΎΠ²Π½Π°, Π΄ΠΎΠΊΡ‚ΠΎΡ€ филологичСских Π½Π°ΡƒΠΊ, Π΄ΠΎΡ†Π΅Π½Ρ‚ ΠšΠ°Ρ„Π΅Π΄Ρ€Π° связСй с ΠΎΠ±Ρ‰Π΅ΡΡ‚Π²Π΅Π½Π½ΠΎΡΡ‚ΡŒΡŽ ΠžΡ‡Π½Π°Ρ Ρ„ΠΎΡ€ΠΌΠ° обучСния ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ: ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹ΠΉ ΠΌΡƒΠ·Ρ‹ΠΊΠ°Π»ΡŒΠ½Ρ‹ΠΉ конкурс Π•Π²Ρ€ΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΠ΅ ΠΊΠ°ΠΊ самоС ΠΌΠ°ΡΡˆΡ‚Π°Π±Π½ΠΎΠ΅ рСгулярноС высокотСхнологичноС Ρ‚Π΅Π»Π΅Π²ΠΈΠ·ΠΈΠΎΠ½Π½ΠΎΠ΅ ΠΈ ΠΌΠ΅Π΄ΠΈΠ°-событиС, ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ΅ . Π• Π΅ΠΆΠ΅Π³ΠΎΠ΄Π½ΠΎ Π°ΠΊΡ†Π΅Π½Ρ‚ΠΈΡ€ΡƒΠ΅Ρ‚ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π°ΡƒΠ΄ΠΈΡ‚ΠΎΡ€ΠΈΠΈ Π½Π° Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎ-ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Π½Ρ‹Ρ… особСнностях страны-ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ‚ΠΎΡ€Π° конкурса, Ρ„ΠΎΡ€ΠΌΠΈΡ€ΡƒΠ΅Ρ‚ Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ туристичСскиС ΠΏΠΎΡ‚ΠΎΠΊΠΈ ΠΈ Ρ‚Π΅ΠΌ самым способствуСт Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡŽ ΠΈΠΌΠΈΠ΄ΠΆΠ° Ρ‚Π΅Ρ€Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΈ. Π‘ΠΎΠ»Π΅Π΅ Ρ‚ΠΎΠ³ΠΎ, ΠΏΠΎΠ±Π΅Π΄Π° страны-участницы конкурса ЕвровидСния Π·Π°Ρ‡Π°ΡΡ‚ΡƒΡŽ ΠΎΡ‚Ρ€Π°ΠΆΠ°Π΅Ρ‚ ΠΈΠ΄Π΅ΠΎΠ»ΠΎΠ³ΠΎ-политичСский Π²Π΅ΠΊΡ‚ΠΎΡ€ Π•Π²Ρ€ΠΎΠΏΡ‹ ΠΈ ΠΏΠΎ сути Π΄Π΅Π»Π° выполняСт Ρ„ΡƒΠ½ΠΊΡ†ΠΈΡŽ политичСского PR страны-побСдитСля ΠΈ страны-хозяйки мСроприятия. Π‘Π»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ Π°Π½Π°Π»ΠΈΠ· ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅ΠΌΡ‹Ρ… Π½Π° мСроприятии ΠΊΠΎΠΌΠΌΡƒΠ½ΠΈΠΊΠ°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ являСтся Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹ΠΌ ΠΈ вострСбованным для событийного ΠΈ ΡƒΡΡ‚Ρ€ΠΎΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ PR ΠžΠ±ΡŠΠ΅ΠΊΡ‚ исслСдования: ΠΊΠΎΠΌΠΌΡƒΠ½ΠΈΠΊΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Π΅ активности ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΌΡƒΠ·Ρ‹ΠΊΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ конкурса (Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ ЕвровидСния Π² КиСвС Π² 2017 Π³.). ΠŸΡ€Π΅Π΄ΠΌΠ΅Ρ‚ исслСдования: функция статусного PR-мСроприятия Π² Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ ΠΈΠΌΠΈΠ΄ΠΆΠ° страны. ЦСль исслСдования: Π΄ΠΎΠΊΠ°Π·Π°Ρ‚ΡŒ, Ρ‡Ρ‚ΠΎ ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹ΠΉ ΠΌΡƒΠ·Ρ‹ΠΊΠ°Π»ΡŒΠ½Ρ‹ΠΉ конкурс Π•Π²Ρ€ΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΠ΅ способствуСт Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡŽ ΠΈΠΌΠΈΠ΄ΠΆΠ° страны провСдСния. Π—Π°Π΄Π°Ρ‡ΠΈ исслСдования: Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Ρ‚ΡŒ тСрминологичСский Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚ исслСдования Π½Π° основС Π½Π°ΡƒΡ‡Π½ΠΎΠΉ Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹ ΠΏΠΎ ΠΈΠΌΠΈΠ΄ΠΆΠΌΠ΅ΠΉΠΊΠΈΠ½Π³Ρƒ, Π±Ρ€Π΅Π½Π΄ΠΈΠ½Π³Ρƒ ΠΈ ΠΈΠ²Π΅Π½Ρ‚-ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½Ρ‚Ρƒ; ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Π΅ ΠΊΠΎΠΌΠΌΡƒΠ½ΠΈΠΊΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹Π΅ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, примСняСмыС Π² Ρ€Π°ΠΌΠΊΠ°Ρ… ΡΠΏΠ΅Ρ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… событий для формирования ΠΈΠΌΠΈΠ΄ΠΆΠ° страны; ΠΎΠΏΠΈΡΠ°Ρ‚ΡŒ Ρ€ΠΎΠ»ΡŒ ЕвропСйского Π’Π΅Ρ‰Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ Боюза ΠΊΠ°ΠΊ ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ‚ΠΎΡ€Π° ЕвровидСния Π² Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ ΠΈΠΌΠΈΠ΄ΠΆΠ° страны провСдСния конкурса; ΠΎΡ†Π΅Π½ΠΈΡ‚ΡŒ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ Ρ€Π΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½Ρ‹Ρ… ΠΊΠΎΠΌΠΌΡƒΠ½ΠΈΠΊΠ°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ формирования ΠΈΠΌΠΈΠ΄ΠΆΠ° страны Π² Ρ€Π°ΠΌΠΊΠ°Ρ… ЕвровидСния; Π΄Π°Ρ‚ΡŒ Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΈ ΠΏΠΎ Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡŽ ΠΈΠΌΠΈΠ΄ΠΆΠ° страны с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ЕвровидСния. ВСорСтичСская Π±Π°Π·Π°: Π½Π°ΡƒΡ‡Π½Ρ‹Π΅ Ρ‚Ρ€ΡƒΠ΄Ρ‹ Π•. Π‘Ρ‹ΠΊΠΎΠ²ΠΎΠΉ, Π”. Π“Π°Π²Ρ€Ρ‹, А. ΠŸΠ°Π½ΠΊΡ€ΡƒΡ…ΠΈΠ½Π°, Π‘. ДТСнСса, Π•. ΠšΠ°Π²Π΅Ρ€ΠΈΠ½ΠΎΠΉ, Π£. Π₯Π°Π»ΡŒΡ†Π±Π°ΡƒΡ€Π°, Π”ΠΆ. Π“ΠΎΠ»Π΄Π±Π»Π°Ρ‚Ρ‚Π° Π° Ρ‚Π°ΠΊΠΆΠ΅ Ρ‚Ρ€ΡƒΠ΄Ρ‹ Π”. Пассмана ΠΎ ΠΌΡƒΠ·Ρ‹ΠΊΠ°Π»ΡŒΠ½ΠΎΠΌ бизнСсС, П. Π”ΠΆΠΎΡ€Π΄Π°Π½Π° ΠΎ ΠΏΡ€ΠΎΠ΄Π²ΠΈΠΆΠ΅Π½ΠΈΠΈ ΠΈΠΌΠΈΠ΄ΠΆΠ° стран с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ЕвровидСния ΠΈ Π΄Ρ€. ЭмпиричСская Π±Π°Π·Π°: PR-Π΄ΠΎΠΊΡƒΠΌΠ΅Π½Ρ‚Ρ‹, Ρ€Π°Π·ΠΌΠ΅Ρ‰Π΅Π½Π½Ρ‹Π΅ Π½Π° сайтС ЕвровидСния ΠΈ ЕвропСйского Π’Π΅Ρ‰Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ Боюза; Π±ΠΎΠ»Π΅Π΅ ΠΏΠΎΠ»ΡƒΡ‚ΠΎΡ€Π° ΠΌΠΈΠ»Π»ΠΈΠΎΠ½Π° статСй ΠΎΠ± Π£ΠΊΡ€Π°ΠΈΠ½Π΅ Π² СвропСйских БМИ, Ρ€Π°Π·ΠΌΠ΅Ρ‰Π΅Π½Π½Ρ‹Π΅ Π² Π±Π°Π·Π΅ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Π° ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π° ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΈΠΌΠΈΠ΄ΠΆΠ° Π£ΠΊΡ€Π°ΠΈΠ½Ρ‹ Β«OkoΒ»; Π΄Π°Π½Π½Ρ‹Π΅ Π±Π°Π·Ρ‹ ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΠΎΠ² БМИ ΠΈ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΌΠ΅Π΄ΠΈΠ° Factiva; Π΄Π°Π½Π½Ρ‹Π΅ Google.Analytics. ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π΅ΡΠΊΠ°Ρ Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒ: исслСдованиС Π΄ΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚, Ρ‡Ρ‚ΠΎ ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹ΠΉ ΠΌΡƒΠ·Ρ‹ΠΊΠ°Π»ΡŒΠ½Ρ‹ΠΉ конкурс Π•Π²Ρ€ΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΠ΅ Ρ„ΠΎΡ€ΠΌΠΈΡ€ΡƒΠ΅Ρ‚ ΠΈΠΌΠΈΠ΄ΠΆ страны провСдСния нСзависимо ΠΎΡ‚ ΡƒΡΠΏΠ΅ΡˆΠ½ΠΎΡΡ‚ΠΈ использования ΠΊΠΎΠ½ΠΊΡ€Π΅Ρ‚Π½Ρ‹Ρ… Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ формирования ΠΈΠΌΠΈΠ΄ΠΆΠ° страны. ВСзисы исслСдования Π±Ρ‹Π»ΠΈ Π°ΠΏΡ€ΠΎΠ±ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ Π½Π° ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½ΠΎΠΌ Π½Π°ΡƒΡ‡Π½ΠΎΠΌ Ρ„ΠΎΡ€ΡƒΠΌΠ΅ «МСдиа Π² соврСмСнном ΠΌΠΈΡ€Π΅. 57-Π΅ ΠŸΠ΅Ρ‚Π΅Ρ€Π±ΡƒΡ€Π³ΡΠΊΠΈΠ΅ чтСния», ΠΎΠΏΡƒΠ±Π»ΠΈΠΊΠΎΠ²Π°Π½Ρ‹ Π² сборникС ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΠΎΠ² статСй Ρ„ΠΎΡ€ΡƒΠΌΠ° ΠΈ ΠΈΠΌΠ΅ΡŽΡ‚ статус Π½Π°ΡƒΡ‡Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠΈ, Ρ€Π°Π·ΠΌΠ΅Ρ‰Π΅Π½Π½ΠΎΠΉ Π² Π±Π°Π·Π΅ РИНЦ. Π‘Ρ‚Ρ€ΡƒΠΊΡ‚ΡƒΡ€Π° Ρ€Π°Π±ΠΎΡ‚Ρ‹: Π Π°Π±ΠΎΡ‚Π° состоит ΠΈΠ· ввСдСния, 3 Π³Π»Π°Π²: «функция ΡΠΏΠ΅Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ события Π² Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ ΠΈΠΌΠΈΠ΄ΠΆΠ° страны», Β«Π•Π²Ρ€ΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΠ΅ ΠΊΠ°ΠΊ ΡΠΏΠ΅Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠ΅ событиС ЕвропСйского Π’Π΅Ρ‰Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ Боюза» ΠΈ Β«ΠΊΠΎΠΌΠΌΡƒΠ½ΠΈΠΊΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹ΠΉ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π» ЕвровидСния ΠΊΠ°ΠΊ ΠΏΠ»ΠΎΡ‰Π°Π΄ΠΊΠΈ для формирования ΠΈΠΌΠΈΠ΄ΠΆΠ° страны», Π·Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΡ, списка использованной Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹ ΠΈΠ· 67 ΠΏΠΎΠ·ΠΈΡ†ΠΈΠΉ ΠΈ 12 ΠΏΡ€ΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΠΉ. ΠžΠ±Ρ‰ΠΈΠΉ объСм 76 страниц.Abstract of graduating qualification thesis Mikita Arlou INTERNATIONAL MUSIC CONTEST IN HOST COUNTRY IMAGE FORMATION (ON THE EXAMPLE OF EUROVISION 2017) Supervisor associate professor Elena Bykova, doctor of philology Department of PR in business full-time study Relevance: the international music contest Eurovision as the most wide scale regular high tech TV and Media event which annually emphasizes audience attention on national cultural features of the host country, forms tourist flows which have huge influence on territorial image formation. Besides the win of a participating in the Eurovision country often shows the ideological and political European vector and in fact serves as political PR of the winning or host country. Consequently the analysis of applied communication technologies is relevant and in-demand for event PR. Research object: communication activities of international music contest (on the example of Eurovision in Kyiv in 2017). Research subject: function of status PR event in country image formation. The aim of research: to prove that international music contest Eurovision contributes host country image formation. The tasks of research: to develop research terminology based on scientific literature on image making, branding and event management; to define actual communication technologies applied in special PR events on country image formation; to describe European Broadcasting Union role in host country image formation; to appreciate effectiveness of applied communication technologies on host country image formation in Eurovision; to give recommendations for host country image formation with the help of Eurovision. Theoretical base: scientific works written by E. Bykova, D. Gavra, A. Pankrukhin, B. Jenes, E. Kaverina, U. Halcbaur, J. Goldblatt and D. PassmanΒ΄s works on music business and P. Jordan on county image building with the help of Eurovision, etc. The empirical base: PR documents from official Eurovision and European Broadcasting Union websites; more than 1.5 million articles on Ukraine in European media stored in the base of international Ukrainian image monitoring project Oko; content of the mass media and social media base Factiva; Google.Analytics data. Practical significance: the research proves that international music contest Eurovision is relevant for the host country image formation independently of the success level of applied country image formation communication technologies. Approbation: General positions of current thesis were aprobated on international scientific forum Media in modern world and were published at the collection of articles of the forum and have the status of a scientific article posted in the RINC database. Thesis structure: Research consists of introduction, 3 chapters: Special event function in country image formation, Eurovision as EBU special event and communication potential of Eurovision as a platform for image formation; conclusion, literature list from 67 positions and 12 attachments. The total volume is 76 pages

    What Differentiates Poor- and Good-Outcome Psychotherapy? A Statistical-Mechanics-Inspired Approach to Psychotherapy Research, Part Two: Network Analyses

    Get PDF
    Statistical mechanics is the field of physics focusing on the prediction of the behavior of a given system by means of statistical properties of ensembles of its microscopic elements. The authors examined the possibility of applying such an approach to psychotherapy research with the aim of investigating (a) the possibility of predicting good and poor outcomes of psychotherapy on the sole basis of the correlation pattern among their descriptors and (b) the analogies and differences between the processes of good- and poor-outcome cases. This work extends the results reported in a previous paper and is based on higher-order statistics stemming from a complex network approach. Four good-outcome and four poor-outcome brief psychotherapies were recorded, and transcripts of the sessions were coded according to Mergenthaler’s Therapeutic Cycle Model (TCM), i.e., in terms of abstract language, positive emotional language, and negative emotional language. The relative frequencies of the three vocabularies in each word-block of 150 words were investigated and compared in order to understand similarities and peculiarities between poor-outcome and good-outcome cases. Network analyses were performed by means of a cluster analysis over the sequence of TCM categories. The network analyses revealed that the linguistic patterns of the four good-outcome and four poor-outcome cases were grounded on a very similar dynamic process substantially dependent on the relative frequency of the states in which the transition started and ended (β€œrandom-walk-like behavior”, adjusted R2 = 0.729, p < 0.001). Furthermore, the psychotherapy processes revealed statistically significant changes in the relative occurrence of visited states between the beginning and the end of therapy, thus pointing to the non-stationarity of the analyzed processes. The present study showed not only how to quantitatively describe psychotherapy as a network, but also found out the main principles on which its evolution is based. The mind, from a linguistic perspective, seems to work-through psychotherapy sessions by passing from the most adjacent states and the most occurring ones. This finding can represent a fertile ground to rethink pivotal clinical concepts such as the timing of an interpretation or a comment, the clinical issue to address within a given session, and the general task of a psychotherapist: from someone who delivers a given technique toward a consultant promoting the flexibility of the clinical field and, thus, of the patient’s mind

    RGD-A-<i>TNF</i> trafficking resulted in selective tumor endothelial cell localization and TNF <i>Ξ±</i> expression.

    No full text
    <p>(A, B) RGD-A-<i>TNF</i> selectively targeted tumor-associated vasculature (arrows) and was absent from normal tissues at 4–6 hours (A) and at 4 days (B). Magnification, 400-fold; scale bar, 100 Β΅M. Pre-treatment tumor biopsies, post-treatment tumor biopsies, and post-treatment normal tissues in dogs that received a single-dose of RGD-A-<i>TNF</i> double-stained with an anti-CD31 specific antibody plus an anti-bacteriophage specific antibody. Detection was performed with Alexa Fluor 488 (green, blood vessels), Alexa Fluor 594 (red, AAVP), and DAPI (blue, cell nuclei). (C) Pre-treatment tumor biopsies (day 0), post-treatment normal biopsies (day 4) and post-treatment tumor biopsies (day 4) were used for extraction of total RNA. RT-PCR was performed to measure transcript levels of human TNFΞ± in quadruplicate. The Y-axis represents the relative TNFΞ± expression levels in post-treatment normal biopsies and post-treatment tumor biopsies compared to pre-treatment tumor biopsies after normalization to GAPDH expression (Kruskal-Wallis Test, pβ€Š=β€Š0.0107). All data are presented as meansΒ±standard deviations. (D–F) Presence of RGD-A-<i>TNF</i> was evaluated in post-treatment (day 28) necropsy samples of tumor (D) and normal tissues (E, F). Tissues were stained for RGD-A-<i>TNF</i> as described earlier. RGD-A-<i>TNF</i> selectively targeted tumor-associated vasculature in post-treatment tumor samples (arrows). In contrast, the vector was not apparent in pre-treatment tumor samples or in post-treatment normal control necropsy samples (such as lung, liver, spleen or intestine) after serial administrations of RGD-A-<i>TNF</i>.</p

    RGD-A-<i>TNF</i> administration resulted in objective tumor responses in dogs with spontaneous cancers.

    No full text
    <p>A large primary soft tissue sarcoma on the flank of Dog #2.11 is shown to feature the potential magnitude of the tumor response. Prior to therapy (day 0), the tumor measured 12.3 cm in longest diameter. At day 28, after 4 weekly infusions of RGD-A-<i>TNF</i>, the tumor measured 8.2 cm in longest diameter (a 33% regression) and a RECIST-based partial response (PR). At day 56, after a total of 8 weekly systemic infusions of RGD-A-<i>TNF</i>, the tumor measured 1.85 cm in longest diameter prior to resection. Therefore, this response equated to an 85% regression from baseline and a continued clinical PR. Upon surgical resection of the residual lesion, no viable tumor was found and a pathological complete response was determined.</p

    RGD-A-<i>TNF</i> Dose Escalation Study: Patient Population and RGD-A-<i>TNF</i> Trafficking Data

    No full text
    <p>TU: transducing units; IF: immunoflourescent staining for presence of RGD-A-<i>TNF</i> in tumors; OCS: osteochondrosarcoma; PCT: plasma cell tumor; BCT: basal cell tumor; NST: nerve sheath tumor; STS: soft tissue sarcoma; OS: osteosarcoma; FS: fibrosarcoma; N.A.: not analyzed due to improper shipment.</p>*<p>Patient I.D.: dog is identified as participating in study 1 (dose escalation study), followed by patient number (i.e. patient 1.2 is dog 2 in study 1 and so on);</p>**<p>These two tumors originally diagnosed as soft tissue sarcomas were reclassified upon histopathologic review by a single pathologist (SN).</p

    RGD-A-<i>TNF</i> Multiple Dose Study: Patient Data and Tumor Responses

    No full text
    <p>FS: fibrosarcoma; OS: osteosarcoma; PNST: peripheral nerve sheath tumor (malignant); SCC: squamous cell carcinoma; S-C MS: subcutaneous myxosarcoma; MLT: multi-lobular tumor; Mel: LN mets: melanoma lymph node metastases; inc.: increase; dec.: decrease; PD: progressive disease; SD: stable disease (shown in yellow); PR: partial response (shown in green); Unevaluable: due to consent withdrawal by the owner, or death or euthanasia before completion of cycle 1</p>*<p>Patient I.D.: dog is identified as participating in study 2 (fixed multiple dose study), followed by patient number (i.e. patient 2.2 is dog 2 in study 2 and so on)</p><p>Cycle 1: dogs received 4 weekly doses of RGD-A-<i>TNF</i>; Cycle 2: dogs received additional 4 weekly doses of RGD-A-<i>TNF</i></p
    corecore