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Slim Aarons : women
\"Explores the central subject of Slim Aarons's career--the extraordinary women from the upper echelons of high society, the arts, fashion, and Hollywood. The book presents the women who most influenced Aarons's life and work, and the other remarkable personalities he photographed along the way, including Audrey Hepburn, Jackie Kennedy, Diana Vreeland, and Marilyn Monroe\"--Amazon.com.
Book
Seeking optimal repeated fluid biomarker assessments to enhance precision and statistical power in clinical trials: SLIM method
INTRODUCTION Plasma biomarkers are increasingly used as surrogate outcomes in clinical trials for Alzheimer's disease and related dementias (ADRD) due to their non‐invasive nature. In early‐phase trials designed to evaluate mechanisms of action and biological efficacy, assessing pre–post changes in plasma biomarkers within the same individuals – using a single‐arm placebo lead‐in design – offers a potentially cost‐effective alternative to parallel‐group designs by minimizing between‐subject variability. However, plasma biomarkers are also subject to within‐individual variability, which can obscure true treatment effects. METHODS One strategy to address this limitation is to collect repeated measures during each study period. This approach can improve measurement precision, enhance the signal‐to‐noise ratio, and increase statistical power, even with modest sample sizes. RESULTS We propose an innovative early‐phase trial design, Single‐arm Lead‐In with Multiple measures (SLIM), which incorporates repeated biomarker assessments over a short follow‐up period. DISCUSSION Using simulation studies, we demonstrate that the SLIM design can substantially reduce required sample sizes. Highlights SLIM involves repeated biomarker assessments during both the lead‐in and post‐treatment periods. It minimizes between‐subject variability and improves the precision of within‐subject estimates. It is well suited for early‐phase, short‐duration trials. It is not suitable for cognitive tests or other outcomes prone to practice or placebo effects. SLIM design can be an alternative to the traditional parallel design by reducing required sample sizes, thereby lowering the recruitment burden.
Journal Article
Slim Harpo : blues king bee of Baton Rouge
The complete life and times of blues singer Slim Harpo (1924-1970), chronicling his development from local bluesman to R&B star, from the black clubs of Baton Rouge to the white college circuit and national recognition in the ?rock society? of the late 1960s. The lives and careers of other Baton Rouge blues players are examined as context and contrast to Harpo, as is his legacy in relation to the blues music scene in Louisiana.
Book
Comprehensive computational design of ordered peptide macrocycles
Mixed-chirality peptide macrocycles such as cyclosporine are among the most potent therapeutics identified to date, but there is currently no way to systematically search the structural space spanned by such compounds. Natural proteins do not provide a useful guide: Peptide macrocycles lack regular secondary structures and hydrophobic cores, and can contain local structures not accessible with L-amino acids. Here, we enumerate the stable structures that can be adopted by macrocyclic peptides composed of L- and D-amino acids by near-exhaustive backbone sampling followed by sequence design and energy landscape calculations. We identify more than 200 designs predicted to fold into single stable structures, many times more than the number of currently available unbound peptide macrocycle structures. Nuclear magnetic resonance structures of 9 of 12 designed 7- to 10-residue macrocycles, and three 11- to 14-residue bicyclic designs, are close to the computational models. Our results provide a nearly complete coverage of the rich space of structures possible for short peptide macrocycles and vastly increase the available starting scaffolds for both rational drug design and library selection methods.
Journal Article
Characterization of Phytochemicals, Nutrients, and Antiradical Potential in Slim Amaranth
Slim amaranth (A. hybridus) having a C4 photosynthetic pathway with diverse variability is a climate-resilient crop that tolerates abiotic stresses. Owing to the high productivity of the C4 pathway, we have been searching for suitable accessions as preferable high-yielding antioxidant-enriched cultivars with ample bioactive compounds, or for future breeding programs to improve bioactive compounds as a source of natural antioxidants. Twelve slim amaranth accessions were tested for nutraceuticals, phytopigments, radical scavenging capacity (two different assays), vitamins, total flavonoids, and total polyphenols content. Slim amaranth leaves contained ample dietary fiber, protein, moisture, and carbohydrates. The current investigation demonstrated that there was remarkable K, Ca, Mg (8.86, 26.12, and 29.31), Fe, Mn, Cu, Zn, (1192.22, 275.42, 26.13, and 1069.93), TP, TF (201.36 and 135.70), pigments, such as chlorophyll a, ab, and b, (26.28, 38.02, and 11.72), betalains, betaxanthins, betacyanins (78.90, 39.36, 39.53,), vitamin C (1293.65), β-carotene, total carotenoids, (1242.25, 1641.07), and TA (DPPH, ABTS+) (27.58, 50.55) in slim amaranth leaves. The widespread variations were observed across the studied accessions. The slim amaranth accessions, AH11, AH10, and AH12, exhibited high profiles of antioxidants including high potentiality to quench radicals and can be selected as preferable high-yielding antioxidant-enriched cultivars with ample bioactive compounds. Phytopigments, flavonoids, vitamins, and phenolics of slim amaranth leaves showed intense activity of antioxidants. Slim amaranth could be a potential source of proximate phenolics, minerals, phytopigments, vitamins, and flavonoids for gaining adequate nutraceuticals, bioactive components, and potent antioxidants. Moderate yielding accessions having moderate phytochemicals can be used to develop new high-yielding antioxidant-enriched cultivars for future breeding programs to improve bioactive compounds as a source of natural antioxidants.
Journal Article
Mechanism of CO2 enhanced oil recovery in shale reservoirs
Combined with NMR, core experiment, slim-tube tests, nano-CT and oil composition analysis, the mechanism of CO2 enhanced oil recovery had been studied. CO2 flooding under supercritical state could achieve higher oil recovery. In the process of crude oil displaced by supercritical CO2, the average oil recovery was 46.98% at low displacement pressures and 73.35% at high displacement pressures. The permeability of cores after CO2 flooding was only 28%–64% of those before flooding. As to the expelled oil, the contents of asphaltenes and non-hydrocarbons decreased, and saturated hydrocarbons of above C25 were absent in some samples, indicating that they had been retained in cores as demonstrated by CT and NMR experiments. In slim-tube tests, the heavy components of oil were expelled when the pressure increased to 30 MPa. There was a reasonable bottom hole pressure (BHP) below which the heavy components driven out from the far-well zone would deposit in the near-well zone, and when the pressure was too high, the nonhydrocarbon detention may cause block. The smaller throat and worse physical properties the porous media had, the higher displacement pressure would be required to achieve a good oil displacement efficiency. The increase in displacement pressure or time of interaction between oil and CO2 could effectively enhance oil recovery.
Journal Article
Comparing Slim Straight and Slim Perimodiolar Electrode Arrays for Cochlear Implantation: Hearing Results and Risks—A Systematic Review (2015–2025)
Background/Objectives: Cochlear implant (CI) electrode array design plays a critical role in determining intracochlear position, hearing outcomes, and insertion-related risks. Straight (lateral wall) and perimodiolar electrode arrays are the two principal designs used in modern cochlear implantation, yet their comparative benefits and risks remain debated. We aim to systematically review and compare hearing outcomes and surgical risks associated with straight versus perimodiolar electrode arrays in cochlear implantation. Methods: A systematic literature search of PubMed, Embase, Scopus, and the Cochrane Library was conducted for studies published between 2015 and 2025. Comparative clinical studies reporting speech perception outcomes, residual hearing preservation, or electrode-related complications were included. Study selection followed PRISMA 2020 guidelines. Results: A total of 32 studies were included. Speech perception outcomes were generally comparable between straight and perimodiolar arrays. However, straight electrode arrays demonstrated significantly lower rates of scalar translocation and tip fold-over and superior residual hearing preservation in most comparative cohorts. Perimodiolar arrays showed potential advantages in electrophysiological efficiency but were associated with a higher risk of intracochlear trauma when malposition occurred. Conclusions: Contemporary evidence suggests that straight (lateral wall) electrode arrays offer a more favorable safety profile with equivalent functional hearing outcomes compared to perimodiolar arrays. Electrode positioning within the scala tympani appears to be a stronger determinant of outcome than electrode design alone.
Journal Article
Comprehensive review of methods for prediction of intrinsic disorder and its molecular functions
Computational prediction of intrinsic disorder in protein sequences dates back to late 1970 and has flourished in the last two decades. We provide a brief historical overview, and we review over 30 recent predictors of disorder. We are the first to also cover predictors of molecular functions of disorder, including 13 methods that focus on disordered linkers and disordered protein–protein, protein–RNA, and protein–DNA binding regions. We overview their predictive models, usability, and predictive performance. We highlight newest methods and predictors that offer strong predictive performance measured based on recent comparative assessments. We conclude that the modern predictors are relatively accurate, enjoy widespread use, and many of them are fast. Their predictions are conveniently accessible to the end users, via web servers and databases that store pre-computed predictions for millions of proteins. However, research into methods that predict many not yet addressed functions of intrinsic disorder remains an outstanding challenge.
Journal Article
Seeing the forest for the trees: Assessing genetic offset predictions from gradient forest
Gradient Forest (GF) is a machine learning algorithm designed to analyze spatial patterns of biodiversity as a function of environmental gradients. An offset measure between the GF‐predicted environmental association of adapted alleles and a new environment (GF Offset) is increasingly being used to predict the loss of environmentally adapted alleles under rapid environmental change, but remains mostly untested for this purpose. Here, we explore the robustness of GF Offset to assumption violations, and its relationship to measures of fitness, using SLiM simulations with explicit genome architecture and a spatial metapopulation. We evaluate measures of GF Offset in: (1) a neutral model with no environmental adaptation; (2) a monogenic “population genetic” model with a single environmentally adapted locus; and (3) a polygenic “quantitative genetic” model with two adaptive traits, each adapting to a different environment. We found GF Offset to be broadly correlated with fitness offsets under both single locus and polygenic architectures. However, neutral demography, genomic architecture, and the nature of the adaptive environment can all confound relationships between GF Offset and fitness. GF Offset is a promising tool, but it is important to understand its limitations and underlying assumptions, especially when used in the context of predicting maladaptation.
Journal Article