Fermi resonance-algebraic model for molecular vibrational spectra

A Fermi resonance-algebraic model is proposed for molecular vibrations, where a U(2) algebra is used for describing the vibrations of each bond, and Fermi resonances between stretching and bending modes are taken into account. The model for a bent molecule XY_2 and a molecule XY_3 is successfully applied to fit the recently observed vibrational spectrum of the water molecule and arsine (AsH_3), respectively, and results are compared with those of other models. Calculations show that algebraic approaches can be used as an effective method for describing molecular vibrations with small standard deviations

Building information modelling to cut disruption in housing retrofit

There is a large stock of solid-wall homes in the UK with poor thermal insulation and low energy performance. Although the UK government has supported efforts to improve these buildings, the identification of appropriate technical solutions that effectively improve the existing stock remains challenging. This research investigates how four dimensional building information modelling (4D BIM) could improve the retrofit of social housing, specifically that of ‘no-fines’ solid-wall homes, through the development of what-if scenarios that enable the analysis of alternative solutions considering costs, energy performance and disruption to users. This paper focuses on the use of 4D building information models to evaluate disruption to end users. The results indicate that the development of such models supports a better understanding of the retrofit process on site. It also supports the definition of production plans with as minimal disruption as possible to users while delivering energy-oriented and cost-effective solutions

Method for automated requirement checking in social housing projects

One of the possible strategies for improving the quality of construction projects is the use of Building Information Modelling (BIM), which involves innovations in information technology and changes in critical processes. In the social housing sector in Brazil, the need to evaluate a large number of projects proposed for funding in a very short time frame is a major challenge. Automated design checking has been pointed out as one of the main opportunities for the use of BIM in the building industry. The evaluation of social housing projects by governmental bodies is often based mainly on the experience of construction professionals, which may result in lack of uniformity in the criteria adopted, and in a time consuming and costly process. The aim of this research study is to propose a method for automated checking of requirements for the design of social housing projects by using BIM. This method was tested in two housing projects funded by the Minha Casa, Minha Vida programme, and compared to the manual process. This investigation also makes contributions related to the understanding of the nature of the requirements involved in this type of project, and discusses the process changes needed to introduce automated design checking. Keywords: Design checking; BIM; Code-checking; Social housing projects; Low income housin

Validation of a 22-Gene Genomic Classifier in Patients With Recurrent Prostate Cancer An Ancillary Study of the NRG/RTOG 9601 Randomized Clinical Trial

IMPORTANCE: Decipher (Decipher Biosciences Inc) is a genomic classifier (GC) developed to estimate the risk of distant metastasis (DM) after radical prostatectomy (RP) in patients with prostate cancer. OBJECTIVE: To validate the GC in the context of a randomized phase 3 trial. DESIGN, SETTING, AND PARTICIPANTS: This ancillary study used RP specimens from the phase 3 placebo-controlled NRG/RTOG 9601 randomized clinical trial conducted from March 1998 to March 2003. The specimens were centrally reviewed, and RNA was extracted from the highest-grade tumor available in 2019 with a median follow-up of 13 years. Clinical-grade whole transcriptomes from samples passing quality control were assigned GC scores (scale, 0-1). A National Clinical Trials Network–approved prespecified statistical plan included the primary objective of validating the independent prognostic ability of GC for DM, with secondary end points of prostate cancer–specific mortality (PCSM) and overall survival (OS). Data were analyzed from September 2019 to December 2019. INTERVENTIONS: Salvage radiotherapy (sRT) with or without 2 years of bicalutamide. MAIN OUTCOMES AND MEASURES: The preplanned primary end point of this study was the independent association of the GC with the development of DM. RESULTS: In this ancillary study of specimens from a phase 3 randomized clinical trial, GC scores were generated from 486 of 760 randomized patients with a median follow-up of 13 years; samples from a total of 352 men (median [interquartile range] age, 64.5 (60-70) years; 314 White [89.2%] participants) passed microarray quality control and comprised the final cohort for analysis. On multivariable analysis, the GC (continuous variable, per 0.1 unit) was independently associated with DM (hazard ratio [HR], 1.17; 95% CI, 1.05-1.32; P = .006), PCSM (HR, 1.39; 95% CI, 1.20-1.63; P < .001), and OS (HR, 1.17; 95% CI, 1.06-1.29; P = .002) after adjusting for age, race/ethnicity, Gleason score, T stage, margin status, entry prostate-specific antigen, and treatment arm. Although the original planned analysis was not powered to detect a treatment effect interaction by GC score, the estimated absolute effect of bicalutamide on 12-year OS was less when comparing patients with lower vs higher GC scores (2.4% vs 8.9%), which was further demonstrated in men receiving early sRT at a prostate-specific antigen level lower than 0.7 ng/mL (−7.8% vs 4.6%). CONCLUSIONS AND RELEVANCE: This ancillary validation study of the Decipher GC in a randomized trial cohort demonstrated association of the GC with DM, PCSM, and OS independent of standard clinicopathologic variables. These results suggest that not all men with biochemically recurrent prostate cancer after surgery benefit equally from the addition of hormone therapy to sRT. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT0000287

Publication Records of Faculty Promoted to Professor: Evidence from the UK Accounting and Finance Academic Community

This study investigates the publication profiles of 140 accounting and finance faculty promoted to the senior rank of professor at UK and Irish universities during the period 1992 to 2007. On average, approximately 9 papers in Association of Business Schools (ABS) (2008)-listed journals, with 5 at the highest 3*/4* quality levels in a portfolio of 20 outputs are required for promotion to professor. Multivariate analysis provides evidence that publication requirements in terms of ABS ranked journal papers have increased over time, an effect attributed to the government research assessment exercise. There is no evidence that requirements differ for: internal versus external promotion, male versus female candidates; accounting versus finance professors, research intensity of institution peer group; or government research ranking of unit. There is also no evidence of a substitution effect in relation to increased recent publication history, quantity of non-ABS outputs or sole-authorship, all of which show a significant complementary effect. It is noted that there is very limited overlap in the UK and US publication journal sets, suggesting underlying geographically-based paradigm differences. The benchmarks provided in this study are informative in a range of decision settings: recruitment; those considering making an application for promotion to a chair and those involved in promotion panels; cross-disciplinary comparisons; and resource allocation. The evidence presented also contributes to the emerging policy debates concerning the aging demographic profile of accounting faculty, the management of academic labour and the Research Excellence Framework

Advances in structure elucidation of small molecules using mass spectrometry

The structural elucidation of small molecules using mass spectrometry plays an important role in modern life sciences and bioanalytical approaches. This review covers different soft and hard ionization techniques and figures of merit for modern mass spectrometers, such as mass resolving power, mass accuracy, isotopic abundance accuracy, accurate mass multiple-stage MS(n) capability, as well as hybrid mass spectrometric and orthogonal chromatographic approaches. The latter part discusses mass spectral data handling strategies, which includes background and noise subtraction, adduct formation and detection, charge state determination, accurate mass measurements, elemental composition determinations, and complex data-dependent setups with ion maps and ion trees. The importance of mass spectral library search algorithms for tandem mass spectra and multiple-stage MS(n) mass spectra as well as mass spectral tree libraries that combine multiple-stage mass spectra are outlined. The successive chapter discusses mass spectral fragmentation pathways, biotransformation reactions and drug metabolism studies, the mass spectral simulation and generation of in silico mass spectra, expert systems for mass spectral interpretation, and the use of computational chemistry to explain gas-phase phenomena. A single chapter discusses data handling for hyphenated approaches including mass spectral deconvolution for clean mass spectra, cheminformatics approaches and structure retention relationships, and retention index predictions for gas and liquid chromatography. The last section reviews the current state of electronic data sharing of mass spectra and discusses the importance of software development for the advancement of structure elucidation of small molecules