On the treatment effect heterogeneity of antidepressants in major depression: A Bayesian meta-analysis and simulation study

Background: The average treatment effect of antidepressants in major depression was found to be about 2 points on the 17-item Hamilton Depression Rating Scale, which lies below clinical relevance. Here, we searched for evidence of a relevant treatment effect heterogeneity that could justify the usage of antidepressants despite their low average treatment effect. Methods: Bayesian meta-analysis of 169 randomized, controlled trials including 58,687 patients. We considered the effect sizes log variability ratio (lnVR) and log coefficient of variation ratio (lnCVR) to analyze the difference in variability of active and placebo response. We used Bayesian random-effects meta-analyses (REMA) for lnVR and lnCVR and fitted a random-effects meta-regression (REMR) model to estimate the treatment effect variability between antidepressants and placebo. Results: The variability ratio was found to be very close to 1 in the best fitting models (REMR: 95% highest density interval (HDI) [0.98, 1.02], REMA: 95% HDI [1.00, 1.02]). The between-study standard deviation tau under the REMA with respect to lnVR was found to be low (95% HDI [0.00, 0.02]). Simulations showed that a large treatment effect heterogeneity is only compatible with the data if a strong correlation between placebo response and individual treatment effect is assumed. Conclusions: The published data from RCTs on antidepressants for the treatment of major depression is compatible with a near-constant treatment effect. Although it is impossible to rule out a substantial treatment effect heterogeneity, its existence seems rather unlikely. Since the average treatment effect of antidepressants falls short of clinical relevance, the current prescribing practice should be re-evaluated

New bounds on the signed total domination number of graphs

In this paper, we study the signed total domination number in graphs and present new sharp lower and upper bounds for this parameter. For example by making use of the classic theorem of Turan, we present a sharp lower bound on this parameter for graphs with no complete graph of order r+1 as a subgraph. Also, we prove that n-2(s-s') is an upper bound on the signed total domination number of any tree of order n with s support vertices and s' support vertives of degree two. Moreover, we characterize all trees attainig this bound.Comment: This paper contains 11 pages and one figur

Integrative GIS-based investigation of the medieval fortress architecture of Pfalz, incorporating photogrammetry, geoinformatics and landscape analysis

This study explores the integration of photogrammetry, laser-scanning, GIS (Geographical Information Systems), and textual analysis to create a more holistic understanding of the effect of the landscape on medieval fortress design, position, and strategy in the area of Kaiserslautern, Germany, during the Middle Ages. The case study is composed of six defensive structures that served as key components to a larger network of fortresses built throughout the region of the Pfalz from 1050-1300 AD during the period of the High Middle Ages. All six structures will be modelled and linked into the digital landscape in GIS, with contextual information derived from historical documents creating a more complete depiction of the medieval territory once controlled by these prominent structures. The interdisciplinary nature of the project spanning art history, archaeology, anthropology, and computer science makes it both innovative and experimental. Access to high resolution models of the structures without having to be physically present at the sites is a significant advantage both for researching the architecture of the structures and for digital preservation efforts. The integrative technological approach will help determine the historical environment and efficacy of the buildings, potentially shedding light on the original designs that have been lost throughout the centuries

Measurement of volume transport of the Gulf Stream south of New England

During June 1966, nine velocity measurements were made with neutrally buoyant floats at a depth of about 2500 m along a section crossing the Gulf Stream near 38° N, 69°W. In combination with hydrographic stations bracketing each float trajectory, these measurements yielded a volume transport of 101 × 106 m3/sec for the Stream as of that time and locatio

Flavour compounds of clones from different grape varieties

The selection of highly productive and characteristic clones is essential for the maintenance and improvement of the viticultural and commercially valuable qualities of certain grape varieties. In the future, this very difficult and time consuming selection of adapted clones will be supplemented with more precise analytical techniques. In this regard, GC analysis will be most valuable. Analytically, German white wines can be divided into three groups by the content of only a few monoterpene compounds ('terpene profiles'): 'Riesling', 'Muscat' and 'Sylvaner' or 'Weissburgunder' types. Furthermore, the use of linear discriminant analysis on some components allows the differentiation within types (e. g. for 'Riesling'-tpye: Riesling, Müller-Thurgau, Bacchus, Kerner, Ehrenfelser, Scheurebe). Till now no significant differentiation could be made from flavour compounds of Riesling clones, although clear differences can be perceived between wines from Traminer clones. Wines with a low sensory appraisal typically have a low content of monoterpene compounds. Differences can also be recognized in the aroma profiles of Chardonnay clones, allowing an analytical differentiation between aromatic and non-aromatic types. Certain clones, however, show differing compositions of flavour compounds when grown in different areas (clones with an 'unstable' aromatic character). Also during ripening of the berries, differences occur within individual Chardonnay clones, resulting in a few clones having recognizable ripening curves for monoterpene compounds

Transition from van-der-Waals to H Bonds dominated Interaction in n-Propanol physisorbed on Graphite

Multilayer sorption isotherms of 1-propanol on graphite have been measured by means of high-resolution ellipsometry within the liquid regime of the adsorbed film for temperatures ranging from 180 to 260 K. In the first three monolayers the molecules are oriented parallel to the substrate and the growth is roughly consistent with the Frenkel-Halsey-Hill-model (FHH) that is obeyed in van-der-Waals systems on strong substrates. The condensation of the fourth and higher layers is delayed with respect to the FHH-model. The fourth layer is actually a bilayer. Furthermore there is indication of a wetting transition. The results are interpreted in terms of hydrogen-bridge bonding within and between the layers.Comment: 4 pages, 3 figure

Machine Learning in Tremor Analysis: Critique and Directions

Tremor is the most frequent human movement disorder, and its diagnosis is based on clinical assessment. Yet finding the accurate clinical diagnosis is not always straightforward. Fine-tuning of clinical diagnostic criteria over the past few decades, as well as device-based qualitative analysis, has resulted in incremental improvements to diagnostic accuracy. Accelerometric assessments are commonplace, enabling clinicians to capture high-resolution oscillatory properties of tremor, which recently have been the focus of various machine-learning (ML) studies. In this context, the application of ML models to accelerometric recordings provides the potential for less-biased classification and quantification of tremor disorders. However, if implemented incorrectly, ML can result in spurious or nongeneralizable results and misguided conclusions. This work summarizes and highlights recent developments in ML tools for tremor research, with a focus on supervised ML. We aim to highlight the opportunities and limitations of such approaches and provide future directions while simultaneously guiding the reader through the process of applying ML to analyze tremor data. We identify the need for the movement disorder community to take a more proactive role in the application of these novel analytical technologies, which so far have been predominantly pursued by the engineering and data analysis field. Ultimately, big-data approaches offer the possibility to identify generalizable patterns but warrant meaningful translation into clinical practice. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society

Study protocol for the Cities Changing Diabetes programme: a global mixed-methods approach

INTRODUCTION: Urban living has been shown to affect health in various ways. As the world is becoming more urbanised and almost two-thirds of people with diabetes now live in cities, research into the relationship between urban living, health and diabetes is key to improving the lives of many. The majority of people with diabetes have type 2 diabetes, a subset linked to overweight and obesity, decreased physical activity and unhealthy diets. Diabetes has significant consequences for those living with the condition as well as their families, relationships and wider society. Although care and management are improving, complications remain common, and diabetes is among the leading causes of vision loss, amputation, neuropathy and renal and cardiovascular disease worldwide. We present a research protocol for exploring the drivers of type 2 diabetes and its complications in urban settings through the Cities Changing Diabetes (CCD) partnership programme. METHODS AND ANALYSIS: A global study protocol is implemented in eight collaborating CCD partner cities. In each city, academic institutions, municipal representatives and local stakeholders collaborate to set research priorities and plan implementation of findings. Local academic teams execute the study following the global study protocol presented here. A quantitative Rule of Halves analysis obtains measures of the magnitude of the diabetes burden, the diagnosis rates in each city and the outcomes of care. A qualitative Diabetes Vulnerability Assessment explores the urban context in vulnerability to type 2 diabetes and identifies social factors and cultural determinants relevant to health, well-being and diabetes. ETHICS AND DISSEMINATION: The protocol steers the collection of primary and secondary data across the study sites. Research ethics board approval has been sought and obtained in each site. Findings from each of the local studies as well as the result from combined multisite (global) analyses will be reported in a series of core scientific journal papers