Conceptualization of Therapeutic Alliance During Psychiatric Residency Training

This pilot study defines the Conceptualization of Therapeutic Alliance (CTA) as the psychotherapist\u27s internalized construct if his ideal patient-therapist relationship based on the principles if Therapeutic Alliance, Working Alliance, and Helping Alliance. The study measures the CTA if third year medical students (MS3s), third year psychiatry residents (PCY3s), and consultant supervising psychotherapists (CSs) utilizing Fiedler\u27s Ideal Therapeutic Relationship Scale. The CTA profiles of each experimental group are correlated with Fiedler\u27s Ideal Therapeutic Relationship. Variance in CTA profiles within each group is also calculated. Preliminary results if this small study (N = 24) show that CTA measurements if the PCY3 group correlate more closely with Fiedler\u27s Ideal Therapeutic Relationship and demonstrate less group variance than the CTA measurements if the MS3 group. This demonstrates that psychiatric residency training may encourage development of a cohesive CTA among residents of a given training class. No supervisory effect on the development of CTA among residents is distinguished

Prediction of Class III treatment outcomes through orthodontic data mining

Summary OBJECTIVE: To determine whether it is possible to predict Class III treatment outcomes on the basis of a model derived from a combination of computational analyses derived from complexity science, such as fuzzy clustering repartition and network analysis

Nurses\u27 Alumnae Association Bulletin, May 1957

Alumnae Notes Committee Reports Digest of Alumnae Meetings Graduation Awards - 1956 Letter from Hong Kong Leukemia Marriages Necrology New Arrivals Physical Advances at Jefferson President\u27s Message School of Nursing Report Two Year Programs in Nursing White Haven Repor

Morphometric covariation between palatal shape and skeletal pattern in Class II growing subjects

Objectives To evaluate the patterns of covariation between palatal and craniofacial morphology in Class II subjects in the early mixed dentition by means of geometric morphometrics. Methods A cross-sectional sample of 85 Class II subjects (44 females, 41 males; mean age 8.7 years ± 0.8) was collected retrospectively according to the following inclusion criteria: European ancestry (white), Class II skeletal relationship, Class II division 1 dental relationship, early mixed dentition, and prepubertal skeletal maturation. Pre-treatment digital 3D maxillary dental casts and lateral cephalograms were available. Landmarks and semilandmarks were digitized (239 on the palate and 121 on the cephalogram) and geometric morphometric methods (GMM) were applied. Procrustes analysis and principal component analysis (PCA) were performed to reveal the main patterns of palatal shape and craniofacial skeletal shape variation. Two-block partial least squares analysis (PLS) assessed patterns of covariation between palatal morphology and craniofacial morphology. Results For the morphology of the palate, the first principal component (PC1) described variation in all three dimensions. For the morphology of the craniofacial complex, PC1 showed shape variation mainly in the vertical direction. Palatal shape and craniofacial shape covaried significantly (RV coefficient: 0.199). PLS1 accounted for more than 64 per cent of total covariation and related divergence of the craniofacial complex to palatal height and width. The more a Class II subject tended towards high-angle divergence, the narrower and higher was the palate. Conclusions Class II high-angle patients tended to have narrower and higher palates, while Class II low-angle patients were related to wider and more shallow palates

Nurses\u27 Alumnae Association Bulletin - Volume 7 Number 11

Anna M. Shafer Barton Memorial Division Births Changes in the Ophthalmology Division Change of Address Clara Melville Fund Continental Tour Deceased Digest of Meetings Inter-County Hospitalization Plan Katherine Childs\u27 Letter Lost Members Marriages Miscellaneous Nursing Home Committee\u27s Report Physical Advantages President James L. Kauffman\u27s Letter President\u27s Greeting Private Duty Section Prizes Relief Fund School Nursing Silhouette of a Public Health Nurse Rooming-in of Infant with Mother Staff Activities The Student White Haven Divisio

Nurses\u27 Alumnae Association Bulletin - Volume 17 Number 1

Alumnae Notes Committee Reports Digest of Alumnae Association Meetings Greetings from Miss Childs Greetings from the Educational Director Greetings from the President Graduation Awards - 1951 Jefferson\u27s New Hospital Addition Marriages Necrology Neurosurgery Department New Arrivals New Drugs Notes on the Cause of Leukemia Nursing Staff Saul Among the Prophets Staff Activities, 1951-1952 Students\u27 Corner The Hospital Pharmacy The Student Nurse Association of Pennsylvania White Haven and Barton Memorial Division

A study on text-score disagreement in online reviews

In this paper, we focus on online reviews and employ artificial intelligence tools, taken from the cognitive computing field, to help understanding the relationships between the textual part of the review and the assigned numerical score. We move from the intuitions that 1) a set of textual reviews expressing different sentiments may feature the same score (and vice-versa); and 2) detecting and analyzing the mismatches between the review content and the actual score may benefit both service providers and consumers, by highlighting specific factors of satisfaction (and dissatisfaction) in texts. To prove the intuitions, we adopt sentiment analysis techniques and we concentrate on hotel reviews, to find polarity mismatches therein. In particular, we first train a text classifier with a set of annotated hotel reviews, taken from the Booking website. Then, we analyze a large dataset, with around 160k hotel reviews collected from Tripadvisor, with the aim of detecting a polarity mismatch, indicating if the textual content of the review is in line, or not, with the associated score. Using well established artificial intelligence techniques and analyzing in depth the reviews featuring a mismatch between the text polarity and the score, we find that -on a scale of five stars- those reviews ranked with middle scores include a mixture of positive and negative aspects. The approach proposed here, beside acting as a polarity detector, provides an effective selection of reviews -on an initial very large dataset- that may allow both consumers and providers to focus directly on the review subset featuring a text/score disagreement, which conveniently convey to the user a summary of positive and negative features of the review target.Comment: This is the accepted version of the paper. The final version will be published in the Journal of Cognitive Computation, available at Springer via http://dx.doi.org/10.1007/s12559-017-9496-

A chemogenomic screening identifies CK2 as a target for pro-senescence therapy in PTEN-deficient tumours

Enhancement of cellular senescence in tumours triggers a stable cell growth arrest and activation of an antitumour immune response that can be exploited for cancer therapy. Currently, there are only a limited number of targeted therapies that act by increasing senescence in cancers, but the majority of them are not selective and also target healthy cells. Here we developed a chemogenomic screening to identify compounds that enhance senescence in PTEN-deficient cells without affecting normal cells. By using this approach, we identified casein kinase 2 (CK2) as a pro-senescent target. Mechanistically, we show that Pten loss increases CK2 levels by activating STAT3. CK2 upregulation in Pten null tumours affects the stability of Pml, an essential regulator of senescence. However, CK2 inhibition stabilizes Pml levels enhancing senescence in Pten null tumours. Taken together, our screening strategy has identified a novel STAT3-CK2-PML network that can be targeted for pro-senescence therapy for cancer