In this task, you are given an abstract of article. Your task is to generate label "True" if abstract is structured, otherwise generate "False". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key to keeping your abstract focused on the main idea and creating a clear and concise image.

[Q]: BACKGROUND The objective of this study was to evaluate the effectiveness of a brief, 4-session cognitive behavioral, group psychotherapy for binge eating among bariatric surgery candidates at an academic medical center. Binge eating behaviors have been linked to poorer outcomes among bariatric surgery patients, and binge eating disorder have be considered a contraindication in surgery programs, some of which have mandated preoperative binge eating treatment. However, no previous studies have examined whether a preoperative binge eating intervention could successfully reduce binge eating behaviors among severely obese bariatric surgery candidates.
METHODS A total of 243 bariatric surgery candidates completed a brief cognitive behavioral group treatment for binge eating behaviors and were administered the Binge Eating Scale and reported the number of weekly binge eating episodes at the initial psychological evaluation and again after the group sessions. The study used a pre-post intervention design.
RESULTS The results suggested significant reductions in both binge eating behaviors and cognitions and binge eating episodes after the group intervention. The intervention's effectiveness did not differ according to gender or ethnicity (black versus white).
CONCLUSION A brief cognitive behavioral intervention can reduce binge eating behaviors among bariatric surgery candidates. Given the potential influence of binge eating on outcomes, bariatric surgery programs could benefit by treating binge eating before surgery.
[A]: True

[Q]: BACKGROUND Multiple mechanisms have been advanced to account for CD4+FOXP3+ regulatory T cell (Treg)-mediated suppression of CD4+ effector T cells (Teffs) but none appear to completely explain suppression. Previous data indicates that Tregs may affect the microenvironment redox state. Given the inherent redox sensitivity of T cells, we tested the hypothesis that oxidants may mediate the direct suppression of Teffs by Tregs.
METHODOLOGY/PRINCIPAL FINDINGS Tregs and Teffs were isolated from the spleens of wild type (WT) C57BL/6 mice or Ncf1(p47phox)-deficient C57BL/6 mice which lack NADPH oxidase function. Teffs were labeled with CFSE and co-cultured with unlabeled Tregs at varying Treg:Teff ratios in the presence of anti-CD3/CD28 coated beads for 3 days in suppression assays. Treg-mediated suppression was quantified by flow cytometric analysis of CFSE dilution in Teffs. The presence of the antioxidants n-acetylcysteine (NAC) or 2-mercaptoethanol or inhibitors of NADPH oxidase (diphenyleneiodonium and VAS-2870) resulted in reduced WT Treg-mediated suppression. The observed suppression was in part dependent upon TGF as it was partially blocked with neutralizing antibodies. The suppression of Teff proliferation induced by exogenous TGF treatment could be overcome with NAC. Ncf1-deficient Teff were slightly but significantly less sensitive than WT Teff to suppression by exogenous TGF. Ncf1-deficient Tregs suppressed Ncf1-deficient Teff very poorly compared to wild type controls. There was partial but incomplete reconstitution of suppression in assays with WT Tregs and Ncf1-deficient Teff.
CONCLUSIONS/SIGNIFICANCE We present evidence that NADPH oxidase derived ROS plays a role in the direct Treg mediated suppression of CD4+ effector T cells in a process that is blocked by thiol-containing antioxidants, NADPH oxidase inhibitors or a lack of Ncf1 expression in Tregs and Teffs. Oxidants may represent a potential new target for therapeutic modulation of Treg function.
[A]: True

[Q]: MOTIVATION Circadian oscillations have been observed in animals, plants, fungi and cyanobacteria and play a fundamental role in coordinating the homeostasis and behavior of biological systems. Genetically encoded molecular clocks found in nearly every cell, based on negative transcription/translation feedback loops and involving only a dozen genes, play a central role in maintaining these oscillations. However, high-throughput gene expression experiments reveal that in a typical tissue, a much larger fraction ([Formula: see text]) of all transcripts oscillate with the day-night cycle and the oscillating species vary with tissue type suggesting that perhaps a much larger fraction of all transcripts, and perhaps also other molecular species, may bear the potential for circadian oscillations.
RESULTS To better quantify the pervasiveness and plasticity of circadian oscillations, we conduct the first large-scale analysis aggregating the results of 18 circadian transcriptomic studies and 10 circadian metabolomic studies conducted in mice using different tissues and under different conditions. We find that over half of protein coding genes in the cell can produce transcripts that are circadian in at least one set of conditions and similarly for measured metabolites. Genetic or environmental perturbations can disrupt existing oscillations by changing their amplitudes and phases, suppressing them or giving rise to novel circadian oscillations. The oscillating species and their oscillations provide a characteristic signature of the physiological state of the corresponding cell/tissue. Molecular networks comprise many oscillator loops that have been sculpted by evolution over two trillion day-night cycles to have intrinsic circadian frequency. These oscillating loops are coupled by shared nodes in a large network of coupled circadian oscillators where the clock genes form a major hub. Cells can program and re-program their circadian repertoire through epigenetic and other mechanisms. AVAILABILITY AND IMPLEMENTATION High-resolution and tissue/condition specific circadian data and networks available at http://circadiomics.igb.uci.edu. CONTACT pfbaldi@ics.uci.edu SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
[A]:
True