Miracle-dz/UniFAR-FTUs huggingface dataset:
Breastfeeding Versus Bottle Feeding on Malocclusion in Children: A Meta-Analysis Study

Background: Breastfeeding plays an important role in child health. However, there are doubts about its influence on malocclusions. Systematic reviews have yielded contradictory results. Research aim: This study aimed to investigate whether the type and duration of breastfeeding are associated with malocclusions in primary teething. Methods: The review strategy included several electronic databases, lists of references, reviews, dissertation and thesis websites, experts, and other relevant documents. Published and unpublished observational studies (N = 42) were reviewed using the Participants (children), Interventions (breastfeeding), Comparisons (bottle feeding), Outcomes (malocclusion), and Study design (observational) strategy, without restrictions on language or locale. Information about the authors, publication year, country of study, setting, study design, sample size, age, type and duration of exclusive and mixed breastfeeding, and malocclusions was recorded by two blinded evaluators. Quantitative meta-analysis (N = 30) of the studies with available data was performed. Results: Breastfeeding was a protective factor against malocclusions. The odds of association increased with breastfeeding duration. Irrespective of duration, breastfeeding had a protective association with open bite. For those who were breastfed for up to 6 months, breastfeeding protected against overjet, open bite, posterior crossbite, and crowding. Breastfeeding for 12 months or longer was associated with lower odds of overjet, open bite, and posterior crossbite. Breastfeeding exclusively for 6 months was also a protective factor against malocclusions. However, studies on this subject presented low quality, statistical heterogeneity, and only unadjusted measures of association in most of the cases. Conclusion: Breastfeeding beneficially affects primary occlusion when practiced for at least 6 months.
TEACHER ’ S CORNER How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power

Taylor & Francis makes every effort to ensure the accuracy of all the information (the " Content ") contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content. This article may be used for research, teaching, and private study purposes. A common question asked by researchers is, " What sample size do I need for my study? " Over the years, several rules of thumb have been proposed. In reality there is no rule of thumb that applies to all situations. The sample size needed for a study depends on many factors, including the size of the model, distribution of the variables, amount of missing data, reliability of the variables, and strength of the relations among the variables. The purpose of this article is to demonstrate how substantive researchers can use a Monte Carlo study to decide on sample size and determine power. Two models are used as examples, a confirmatory factor analysis (CFA) model and a growth model. The analyses are carried out using the Mplus program (Muthén & Muthén, 1998). A common question asked by researchers is, " What sample size do I need for my study? " Over the years, several rules of thumb have been proposed, such as 5 to 10 observations per parameter, 50 observations per variable, no less than 100, and so on. In reality, there is no rule of thumb that applies to all situations. The sample size needed for a study depends on many factors, including the size of the model, distribution of the variables, amount of missing data, reliability of the variables, and strength of the relations among the variables. Although parameter estimates frequently have small bias, standard errors are more sensitive. Standard errors may be overestimated or underestimated depending on the situation. …
Tissue Engineering Approaches for Studying the Effect of Biochemical and Physiological Stimuli on Cell Behavior

Tissue Engineering Approaches for Studying the Effect of Biochemical and Physiological Stimuli on Cell Behavior. (August 2012) Andrea Carolina Jimenez Vergara, B.S., Universidad Industrial de Santander Chair of Advisory Committee: Dr. Mariah Hahn Tissue engineering (TE) approaches have emerged as an alternative to traditional tissue and organ replacements. The aim of this work was to contribute to the understanding of the effects of cell-material and endothelial cell (EC) paracrine signaling on cell responses using poly(ethylene glycol) diacrylate (PEGDA) hydrogels as a material platform. Three TE applications were explored. First, the effect of glycosaminoglycan (GAG) identity was evaluated for vocal fold restoration. Second, the influence of GAG identity was explored and a novel approach for stable endothelialization was developed for vascular graft applications. Finally, EC paracrine signaling in the presence of cyclic stretch, and hydrophobicity and inorganic content were studied for osteogenic applications. In terms of vocal fold restoration, it was found that vocal fold fibroblast (VFF) phenotype and extracellular matrix (ECM) production were impacted by GAG identity. VFF phenotype was preserved in long-term cultured hydrogels containing high molecular weight hyaluronan (HAHMW). Furthermore, collagen I deposition, fibronectin production and smooth muscle α-actin (SM-α-actin) expression in PEG–HA, PEG–
Multiple Resolution Community Structure Analysis

Detecting community structure is fundamental for uncovering the links between topological structure and function in complex networks. A popular method now widely used relies on the optimization of a quantity called modularity. But modularity optimization has a fundamental drawback: there exists a resolution limit which depends on the total size of the network and on the degree of interconnectedness of the modules. Resultantly there are tendencies to merge smaller modules. Intuitively the considered module is relative to the local structure, and is not relative to the total size of the network. In this paper, firstly, we give an simple explanation from the theoretic point of view that why the resolution limit depends on the total size of the network which seems to violate the intuition. Secondly, in order to address the issue of the resolution limit we propose a quantitative function MQλ with a tuning parameter λ (−1 6 λ 6 1/2) which contains modularity as a special case at λ = 0. In particular, MQ 1 2 optimization ensures the partition not to merge the smaller modules in any complex network. Numerical results show that the proposed method has been validated using synthetic networks, discovering the predefined structures at all scales and its applications to some real social networks can correctly identify the number of communities.
Methodology of fever research: why are polyphasic fevers often thought to be biphasic?

This study explains why the recently described triphasic lipopolysaccharide (LPS) fevers have been repeatedly mistaken for biphasic fevers. Experiments were performed in loosely restrained male Wistar rats with a catheter implanted into the right jugular vein. Each animal was injected with Escherichia coli LPS, and its colonic (Tc) and tail skin temperatures were monitored. The results are presented as time graphs and phase-plane plots; in the latter case the rate of change of Tc is plotted against Tc. At an ambient temperature (Ta) of 30.0°C, the response to the 10 μg/kg dose of LPS was triphasic, as is obvious from time graphs of Tc (3 peaks), time graphs of effector activity (3 waves of tail skin vasoconstriction), and phase-plane plots (3 complete loops). When the Ta was below neutral (22.0°C) or the LPS dose was higher (100 or 1,000 μg/kg), the time graph of Tc did not allow for the reliable detection of all three febrile phases, but the phase-plane plot and time graph of effector activity clearly revealed the triphasic pattern. In a separate experiment, LPS (10 μg/kg) or saline was injected via one of two different procedures: in the first group the injection was performed through the jugular catheter, from outside the experimental chamber; in the second group the same nonstressing injection was combined with opening the chamber and pricking the animal in its lower abdomen with a needle. In the first group the febrile response was obviously triphasic, and none of the phases was due to the procedure of injection per se (injection of saline did not affect Tc). In the second group the fever similarly consisted of three Tc rises, but it might have been readily mistaken for biphasic because the first rise was indistinguishable from stress hyperthermia occurring in the saline-injected (and needle-pricked) controls. We conclude that several methodological factors (dose of LPS, procedure of its injection, and Ta) have contributed, although each in a different way, to the common misbelief that there are only two febrile phases.
A simple, nonradioactive method for evaluating single-nephron filtration rate using FITC-inulin.

The determination of inulin concentration in nanoliter fluid samples is fundamental to micropuncture investigations of renal function, and this is generally accomplished through the use of radioisotopes. We report here a simple and reliable alternative to the use of radioisotopes that employs FITC-labeled inulin. Samples containing FITC-inulin are stored between oil columns in constant-bore microcapillary tubes, which are then used as cuvettes to determine fluorescence on a microscope fluorometer. Standard curves were generated and found to be linear, with correlation coefficients ( R) exceeding 0.99 in every case. Although the fluorescence of FITC-inulin was found to be pH dependent, the pH and fluorescence of each 20- to 40-nl sample could be normalized by the addition of 1 nl of 0.5 M HEPES at pH 7.5. In mice prepared for standard micropuncture, simultaneous measurements of tubular fluid-to-plasma ratios (TF/P) using FITC-inulin and [125I]iothalamate were highly correlated (slope = 0.95, y-intercept = 0.01, R = 0.942), as were whole kidney measurements of glomerular filtration rate (GFR) (slope = 1.25, y-intercept = -53.5 μl/min, R = 0.99). Micropuncture determinations of late-proximal samples from mice before and after treatment with acetazolamide showed expected changes: TF/P of FITC-inulin decreased from 1.89 ± 0.07 to 1.48 ± 0.10; single-nephron GFR (SNGFR) decreased from 9.64 ± 1.1 to 6.65 ± 1.0 nl/min; and fractional fluid reabsorption decreased from 45.3 ± 1.9 to 26.8 ± 5.2%. Measurements of TF/P of FITC-inulin, volume, and SNGFR using this technique were stable for at least 2 wk when samples were stored in the dark at 4°C. These data demonstrate that this simple method for determining inulin clearance represents a viable and accurate alternative to radioactive methods. This approach has the added benefits of being relatively inexpensive and leaving the micropuncture sample intact.
A marathon run increases the susceptibility of LDL to oxidation in vitro and modifies plasma antioxidants.

Physical activity increases the production of oxygen free radicals, which may consume antioxidants and oxidize low-density lipoprotein (LDL). To determine whether this occurs during strenuous aerobic exercise, we studied 11 well-trained runners who participated in the Helsinki City Marathon. Blood samples were collected before, immediately after, and 4 days after the race to determine its effect on circulating antioxidants and LDL oxidizability in vitro. LDL oxidizability was increased as determined from a reduction in the lag time for formation of conjugated dienes both immediately after (180 ± 7 vs. 152 ± 4 min, P < 0.001) and 4 days after (155 ± 7 min, P < 0.001) the race. No significant changes in lipid-soluble antioxidants in LDL or in the peak LDL particle size were observed after the race. Total peroxyl radical trapping antioxidant capacity of plasma (TRAP) and uric acid concentrations were increased after the race, but, except for TRAP, these changes disappeared within 4 days. Plasma thiol concentrations were reduced after the race. No significant changes were observed in plasma ascorbic acid, α-tocopherol, β-carotene, and retinol concentrations after the marathon race. We conclude that strenuous aerobic exercise increases the susceptibility of LDL to oxidation in vitro for up to 4 days. Although the increase in the concentration of plasma TRAP reflects an increase of plasma antioxidant capacity, it seems insufficient to prevent the increased susceptibility of LDL to oxidation in vitro, which was still observed 4 days after the race.
Automated Analysis and Feedback Techniques to Support and Teach Argumentation: A Survey

Argumentation is one of the key competencies in our private and professional lives. However, many people struggle to produce, interpret and evaluate arguments in a systematic and rational fashion. To remedy this situation, a number of computer-based argumentation systems have been developed over the past decades to support or teach argumentation. The use of artificial intelligence techniques holds promise to increase the effectiveness of such systems by automatically analyzing user actions and providing supportive feedback. In this chapter, we review and systemize argumentation analysis approaches with a special focus on the educational uses. We also discuss argument modeling and discussion systems including their analysis approaches, feedback strategies and architectures.
Nematode‐associated microbial taxa do not correlate with host phylogeny, geographic region or feeding morphology in marine sediment habitats

Studies of host‐associated microbes are critical for advancing our understanding of ecology and evolution across diverse taxa and ecosystems. Nematode worms are ubiquitous across most habitats on earth, yet little is known about host‐associated microbial assemblages within the phylum. Free‐living nematodes are globally abundant and diverse in marine sediments, with species exhibiting distinct buccal cavity (mouth) morphologies that are thought to play an important role in feeding ecology and life history strategies. Here, we investigated patterns in marine nematode microbiomes, by characterizing host‐associated microbial taxa in 281 worms isolated from a range of habitat types (deep‐sea, shallow water, methane seeps, Lophelia coral mounds, kelp holdfasts) across three distinct geographic regions (Arctic, Southern California and Gulf of Mexico). Microbiome profiles were generated from single worms spanning 33 distinct morphological genera, using a two‐gene metabarcoding approach to amplify the V4 region of the 16S ribosomal RNA (rRNA) gene targeting bacteria/archaea and the V1–V2 region of the 18S rRNA gene targeting microbial eukaryotes. Contrary to our expectations, nematode microbiome profiles demonstrated no distinct patterns either globally (across depths and ocean basins) or locally (within site); prokaryotic and eukaryotic microbial assemblages did not correlate with nematode feeding morphology, host phylogeny or morphological identity, ocean region or marine habitat type. However, fine‐scale analysis of nematode microbiomes revealed a variety of novel ecological interactions, including putative parasites and symbionts, and potential associations with bacterial/archaeal taxa involved in nitrogen and methane cycling. Our results suggest that in marine habitats, free‐living nematodes may utilize diverse and generalist foraging strategies that are not correlated with host genotype or feeding morphology. Furthermore, some abiotic factors such as geographic region and habitat type do not appear to play an obvious role in structuring host–microbe associations or feeding preferences.
A Criterion-Related Validation Study of the Army Core Leader Competency Model

Abstract : This report describes the gathering and evaluation of evidence of the criterion-related validity of the Army core leader competency model. Predictor data, in the form of ratings of the competencies and components, were collected from subordinates. Criterion data, in the form of ratings of leader effectiveness, were collected from supervisors. Results showed evidence of the criterion-related validity for the Army core leader competencies. Implications for an instrument to assess the competencies and components are also discussed.
e-Bitter: Bitterant Prediction by the Consensus Voting From the Machine-Learning Methods

In-silico bitterant prediction received the considerable attention due to the expensive and laborious experimental-screening of the bitterant. In this work, we collect the fully experimental dataset containing 707 bitterants and 592 non-bitterants, which is distinct from the fully or partially hypothetical non-bitterant dataset used in the previous works. Based on this experimental dataset, we harness the consensus votes from the multiple machine-learning methods (e.g., deep learning etc.) combined with the molecular fingerprint to build the bitter/bitterless classification models with five-fold cross-validation, which are further inspected by the Y-randomization test and applicability domain analysis. One of the best consensus models affords the accuracy, precision, specificity, sensitivity, F1-score, and Matthews correlation coefficient (MCC) of 0.929, 0.918, 0.898, 0.954, 0.936, and 0.856 respectively on our test set. For the automatic prediction of bitterant, a graphic program “e-Bitter” is developed for the convenience of users via the simple mouse click. To our best knowledge, it is for the first time to adopt the consensus model for the bitterant prediction and develop the first free stand-alone software for the experimental food scientist.
Antagonism of CD95 signaling blocks butyrate induction of apoptosis in young adult mouse colonic cells.

There is great interest in utilizing butyrate as a chemopreventive agent for colon tumorigenesis because of its ability to promote apoptosis in colon tumor cell lines. Because CD95 (APO-1/Fas) transduces signals resulting in apoptosis, we tested the hypothesis that butyrate-dependent colonocyte apoptosis is mediated by this death receptor. Butyrate (1 mM) exposure for 24 h upregulated expression of Fas and its ligand in young adult mouse colon (YAMC) cells. To delineate the proapoptotic effect of butyrate and to avoid the confounding effects of detachment from the extracellular matrix, adherent cell apoptosis was monitored as loss of plasma membrane asymmetry and dissipation of mitochondrial membrane potential (ΔΨmt) by laser cytometry. Soluble Fas receptor protein (Fas:Fc chimera) and caspase inhibitors (z-VAD-fmk and z-IETD-fmk) blocked butyrate induction of apoptosis. Treatment with Fas agonistic antibody (clone Jo-2) significantly induced cell death, indicating that Fas in colonocytes is functional. In addition, butyrate promoted apoptosis by inducing loss of ΔΨmt and phospholipid asymmetry of the plasma membrane after 12 and 24 h of exposure, respectively, before cell detachment. Therefore, Fas receptor-dependent signal transduction is involved in butyrate induction of apoptosis in colonocytes.
Switched single-electrode voltage-clamp amplifiers allow precise measurement of gap junction conductance.

Measurement of gap junction conductance ( g j) with patch-clamp amplifiers can, due to series resistance problems, be subject to considerable errors when large currents are measured. Formulas developed to correct for these errors unfortunately depend on exact estimates of series resistance, which are not always easy to obtain. Discontinuous single-electrode voltage-clamp amplifiers (DSEVCs) were shown to overcome series resistance problems in single whole cell recording. With the use of two synchronized DSEVCs, the simulated g j in a model circuit can be measured with a maximum error of <5% in all recording situations investigated (series resistance, 5-47 MΩ; membrane resistance, 20-1,000 MΩ; g j, 1-100 nS). At a very low g j of 100 pS, the error sometimes exceeded 5% (maximum of 15%), but the error was always <5% when membrane resistance was >100 MΩ. The precision of the measurements is independent of series resistance, membrane resistance, and g j. Consequently, it is possible to calculate g j directly from Ohm's law, i.e., without using correction formulas. Our results suggest that DSEVCs should be used to measure g j if large currents must be recorded, i.e., if cells are well coupled or if membrane resistance is low.
A Declaration of Independence: Implicit Alcohol Associations Have Independent, not Interactive, Relationships with Alcohol Consumption and AUD Risk

Aims The current study aimed to test for potential interactive effects of three implicit alcohol-related associations (drinking identity, alcohol approach and alcohol excitement) in predicting concurrent and prospective alcohol consumption and risk of alcohol use disorders (AUDs) in two samples of the US undergraduate drinkers and non-drinkers. Short summary We investigated the independent and interactive effects of three implicit associations on alcohol consumption and risk of AUD in two US undergraduate student samples. We found that implicit associations had independent but not interactive effects on concurrent and subsequent alcohol consumption and risk of AUD in two independent samples. Methods Implicit drinking identity, alcohol approach and alcohol excitement associations were assessed in two US undergraduate student samples (Sample 1: N = 300, 55% female; Sample 2: N = 506, 57% female). Alcohol consumption and risk of AUD were assessed at baseline (Samples 1 and 2) and 3 months later (Sample 2). We fit zero-inflated negative binomial models to test for independent and interactive effects of the three implicit associations on alcohol consumption and risk of AUD. Results Although we found multiple, unique main effects for alcohol associations, we found minimal evidence of interactions between implicit alcohol-related associations. There was no reliable evidence of interactions in models in predicting alcohol consumption or risk of AUD, concurrently or prospectively, in either sample. Conclusions Contrary to expectations, results from both studies indicated that implicit alcohol-related associations in the US undergraduate samples generally have independent, not interactive, relationships with alcohol consumption and risk of AUD.