245 research outputs found
A House Complex in Bronze Age Arabia: A Study of 'Umm an-Nar' and 'Wadi Suq' Domestic Architecture at the Settlement Slope, Bat (Oman)
In comparison with the well-documented funerary and monumental archaeology, remarkably few settlement sites have been excavated that can be dated to the Umm an-Nar (c. 2700 - 2000 BC), Wadi Suq (c. 2000 - 1600 BC) and Late Bronze Age (c. 1600 - 1250 BC) periods in southeast Arabia. Consequently, domestic architecture from this region is often studied in chronological isolation. A multi-period analysis of the nature of settlement sites and their domestic structures is key to understanding how these cultures functioned and developed during these periods.
A complex of domestic structures was discovered at the Settlement Slope in 2013, situated within the Bronze Age archaeological site at Bat in Oman. The aim of this dissertation is to present and analyse the architecture of this single, well-preserved settlement site from the Umm an-Nar, Wadi Suq and Late Bronze Age periods.
To this end, a catalogue of domestic structures from published Umm an-Nar and Wadi Suq sites was assembled, identifying architectural trends typical of these periods. The stratigraphy and construction style of the walls from the Settlement Slope were analysed and, from this, a provisional sequence of construction phases could be proposed for the site. The sequence was compared with the domestic structures attested at contemporary settlement sites to establish whether the architectural development of the Settlement Slope is typical of the Umm an-Nar, Wadi Suq and Late Bronze Age periods
Bowman Birk Inhibitor Concentrate and Oral Leukoplakia: A Randomized Phase IIb Trial
Oral premalignancy serves as an ideal model for study of chemopreventive agents. Although 13-cis-retinoic acid showed reversal of oral premalignancy, toxicity, and reversal of clinical response after cessation of therapy obviated its widespread use. A search for nontoxic agents with cancer preventive activity led us to evaluate Bowman Birk Inhibitor (BBI) formulated as BBI Concentrate (BBIC). We previously reported encouraging results in a phase IIa trial of BBIC in patients with oral leukoplakia with measurable clinical responses and favorable biomarker changes. On the basis of these results, we undertook a randomized, placebo controlled phase IIb trial with patients receiving BBIC or placebo for 6 months, with assessment of clinical response and change in lesion area as primary end point and an intent-to-treat analysis. One hundred and thirty two subjects were randomized; and 89 subjects completed six months on study drug or placebo. Both placebo and BBIC showed a statistically significant decrease in mean lesion area of 17.1% and 20.6%, respectively, and partial or greater clinical responses of 30% and 28% respectively. No significant difference between placebo and study drug arms was observed. Histologic review, review of photographs of lesions, and comparison of serum neu protein and oral mucosal cell protease activity also did not show significant differences between study arms. Probable reasons for these negative results were considered, are discussed, and include a placebo with non-BBIC clinical activity and reduced pharmacokinetic availability of the second batch of BBIC. This experience should be a strong cautionary note to those considering Green chemoprevention. © 2013 AACR
A Guide to Medications Inducing Salivary Gland Dysfunction, Xerostomia, and Subjective Sialorrhea: A Systematic Review Sponsored by the World Workshop on Oral Medicine VI
Background: Medication-induced salivary gland dysfunction (MISGD), xerostomia (sensation of oral dryness), and subjective sialorrhea cause significant morbidity and impair quality of life. However, no evidence-based lists of the medications that cause these disorders exist. Objective: Our objective was to compile a list of medications affecting salivary gland function and inducing xerostomia or subjective sialorrhea. Data Sources Electronic databases were searched for relevant articles published until June 2013. Of 3867 screened records, 269 had an acceptable degree of relevance, quality of methodology, and strength of evidence. We found 56 chemical substances with a higher level of evidence and 50 with a moderate level of evidence of causing the above-mentioned disorders. At the first level of the Anatomical Therapeutic Chemical (ATC) classification system, 9 of 14 anatomical groups were represented, mainly the alimentary, cardiovascular, genitourinary, nervous, and respiratory systems. Management strategies include substitution or discontinuation of medications whenever possible, oral or systemic therapy with sialogogues, administration of saliva substitutes, and use of electro-stimulating devices. Limitations While xerostomia was a commonly reported outcome, objectively measured salivary flow rate was rarely reported. Moreover, xerostomia was mostly assessed as an adverse effect rather than the primary outcome of medication use. This study may not include some medications that could cause xerostomia when administered in conjunction with others or for which xerostomia as an adverse reaction has not been reported in the literature or was not detected in our search. Conclusions: We compiled a comprehensive list of medications with documented effects on salivary gland function or symptoms that may assist practitioners in assessing patients who complain of dry mouth while taking medications. The list may also prove useful in helping practitioners anticipate adverse effects and consider alternative medications
An artificial intelligence tool for heterogeneous team formation in the classroom
Nowadays, there is increasing interest in the development of teamwork skills
in the educational context. This growing interest is motivated by its
pedagogical effectiveness and the fact that, in labour contexts, enterprises
organize their employees in teams to carry out complex projects. Despite its
crucial importance in the classroom and industry, there is a lack of support
for the team formation process. Not only do many factors influence team
performance, but the problem becomes exponentially costly if teams are to be
optimized. In this article, we propose a tool whose aim it is to cover such a
gap. It combines artificial intelligence techniques such as coalition structure
generation, Bayesian learning, and Belbin's role theory to facilitate the
generation of working groups in an educational context. This tool improves
current state of the art proposals in three ways: i) it takes into account the
feedback of other teammates in order to establish the most predominant role of
a student instead of self-perception questionnaires; ii) it handles uncertainty
with regard to each student's predominant team role; iii) it is iterative since
it considers information from several interactions in order to improve the
estimation of role assignments. We tested the performance of the proposed tool
in an experiment involving students that took part in three different team
activities. The experiments suggest that the proposed tool is able to improve
different teamwork aspects such as team dynamics and student satisfaction
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