Miracle-dz/UniFAR-FTUs huggingface dataset:
The degree of food processing can influence serum fatty acid and lipid profiles in women with severe obesity

Background The increase in the prevalence of obesity is associated with the increase in the consumption of ultra-processed foods and may be related to the increase in the disorders involving metabolism and the transport and storage of fatty acids. Objective To evaluate the effect of processed food consumption according to the degree of processing on the serum fatty acid levels and lipid profile of women with severe obesity. Methods This was a cross-sectional study. Data were collected from anthropometric assessments, the food frequency questionnaire (FFQ), and blood tests for lipidogram studies and serum fatty acid measurements. The foods consumed were identified through the FFQ and classified according to the degree of processing based on the NOVA rating, and the frequencies of consumption were transformed into scores, as proposed by Fornés methodology. Data were analyzed using IBM SPSS Statistics, version 21. The significance level for the analysis was set at 5%. Results This study included 44 women with a mean age of 40.59 years and mean body mass index of 48.61 kg/m2. An inverse association was observed between the consumption of unprocessed and the occurrence of hypertriglyceridemia (p = 0.021) and levels of triglycerides (p = 0.047), total cholesterol (p = 0.030), and very low-density lipoprotein-cholesterol (p = 0.039). The consumption of processed foods was positively associated with the presence of hypertriglyceridemia (p = 0.044) and omega 6/3 ratio (p = 0.001) and negatively associated with total omega 3 levels (p = 0.011). The consumption of processed foods was positively associated with total cholesterol (p = 0.041) and negatively associated with the omega 3/6 ratio (p = 0.001). A negative correlation was found between the average consumption of ultra-processed foods (at least once a week) and serum level of high-density lipoprotein (p = 0.035). Conclusion The consumption of processed and ultra-processed foods was associated with unfavorable lipid profiles and fatty acid levels in women with severe obesity. These results emphasize the importance of promoting the consumption of unprocessed food to mitigate metabolic disorders linked to processed food intake.
The print press and its politicization of public health: The case of COVID-19

This article is interested in the ways in which a serious public health issue, the COVID-19 pandemic, was used to categorize and reconfigure sections of the British citizenry into conformists and deviants. In constructing these categories, the print press was utilizing specific labels to identify those who were sceptical and noncompliant of preventative health strategies. Scepticism of Covid policy was reported along political lines, distinguishing between right-leaning conspiracy theorists who pose threats to health and safety, and those sceptics who were simply without access to accurate information and guidance. In its claims-making activity, the print media was portraying some concerns as more legitimate than other equally significant social issues. The politicization of a biological vector is not without serious implications for public health communication and, ultimately, compliance with disease preventative measures.
Iatrogenic air embolism: pathoanatomy, thromboinflammation, endotheliopathy, and therapies

Iatrogenic vascular air embolism is a relatively infrequent event but is associated with significant morbidity and mortality. These emboli can arise in many clinical settings such as neurosurgery, cardiac surgery, and liver transplantation, but more recently, endoscopy, hemodialysis, thoracentesis, tissue biopsy, angiography, and central and peripheral venous access and removal have overtaken surgery and trauma as significant causes of vascular air embolism. The true incidence may be greater since many of these air emboli are asymptomatic and frequently go undiagnosed or unreported. Due to the rarity of vascular air embolism and because of the many manifestations, diagnoses can be difficult and require immediate therapeutic intervention. An iatrogenic air embolism can result in both venous and arterial emboli whose anatomic locations dictate the clinical course. Most clinically significant iatrogenic air emboli are caused by arterial obstruction of small vessels because the pulmonary gas exchange filters the more frequent, smaller volume bubbles that gain access to the venous circulation. However, there is a subset of patients with venous air emboli caused by larger volumes of air who present with more protean manifestations. There have been significant gains in the understanding of the interactions of fluid dynamics, hemostasis, and inflammation caused by air emboli due to in vitro and in vivo studies on flow dynamics of bubbles in small vessels. Intensive research regarding the thromboinflammatory changes at the level of the endothelium has been described recently. The obstruction of vessels by air emboli causes immediate pathoanatomic and immunologic and thromboinflammatory responses at the level of the endothelium. In this review, we describe those immunologic and thromboinflammatory responses at the level of the endothelium as well as evaluate traditional and novel forms of therapy for this rare and often unrecognized clinical condition.
Poor Sensitivity of the MALDI Biotyper® MBT Subtyping Module for Detection of Klebsiella pneumoniae Carbapenemase (KPC) in Klebsiella Species

Rapid detection of Klebsiella pneumoniae carbapenemase (KPC) in the Klebsiella species is desirable. The MALDI Biotyper® MBT Subtyping Module (Bruker Daltonics) uses an algorithm that detects a peak at ~11,109 m/z corresponding to a protein encoded by the p019 gene to detect KPC simultaneously with organism identification by a matrix-assisted laser desorption ionization–time-of-flight mass spectrometry (MALDI-ToF MS). Here, the subtyping module was evaluated using 795 clinical Klebsiella isolates, with whole genome sequences used to assess for blaKPC and p019. For the isolates identified as KPC positive by sequencing, the overall sensitivity of the MALDI-ToF MS subtyping module was 239/574 (42%) with 100% specificity. For the isolates harboring p019, the subtyping module showed a sensitivity of 97% (239/246) and a specificity of 100%. The subtyping module had poor sensitivity for the detection of blaKPC-positive Klebsiella isolates, albeit exhibiting excellent specificity. The poor sensitivity was a result of p019 being present in only 43% of the blaKPC-positive Klebsiella isolates.
Etude de l'evolution de la vegetation par couplage de donnees spot et noaa-avhrr

La these porte sur l'utilisation de donnees satellitaires multi-capteurs pour l'identification de la vegetation et le suivi de son evolution temporelle. Les donnees utilisees pour effectuer ce travail proviennent de deux capteurs differents spot (a haute resolution spatiale) et noaa-avhrr (a haute frequence temporelle). Une premiere etape permet d'etudier le lien entre ces deux niveaux d'information. Puis, plusieurs approches combinant ces donnees sont presentees afin de repondre aux besoins de l'etude du paysage agricole europeen. Les problemes suivants sont abordes : - la resolution spatiale grossiere du capteur noaa-avhrr associee a la diversification du paysage agricole font que la reflectance du pixel correspond a plusieurs types d'occupations du sol. Une decomposition de ce pixel mixte est alors proposee afin d'extraire les profils temporels de reflectance caracterisant individuellement chaque type de vegetation. - les images spot possedent une resolution spatiale appropriee a la cartographie du sol, cependant a une date d'acquisition donnee plusieurs types de vegetation ont des reponses spectrales similaires et peuvent, par consequent etre confondus. Une analyse spatio-temporelle sur un ensemble d'images spot permet de mieux discriminer les composants du couvert vegetal et d'extraire une information temporelle utilisee pour verifier la coherence des deux sources de donnees. - une caracterisation precise de la vegetation necessite enfin de combiner l'information spatiale et temporelle, dans ce cadre nous proposons un processus faisant collaborer ces deux types d'information. Il s'agit d'une segmentation couplee spot-noaa exploitant au mieux la complementarite des donnees fournies par les deux capteurs.
Non-Structural Protein-W61 as a Novel Target in Severe Fever with Thrombocytopenia Syndrome Virus (SFTSV): An In-Vitro and In-Silico Study on Protein-Protein Interactions with Nucleoprotein and Viral Replication

The non-structural protein (NSs) and nucleoprotein (NP) of the severe fever with thrombocytopenia syndrome virus (SFTSV) encoded by the S segment are crucial for viral pathogenesis. They reside in viroplasm-like structures (VLS), but their interaction and their significance in viral propagation remain unclear. Here, we investigated the significance of the association between NSs and NP during viral infection through in-silico and in-vitro analyses. Through in-silico analysis, three possible binding sites were predicted, at positions C6S (Cystein at 6th position to Serine), W61Y (Tryptophan 61st to Tyrosine), and S207T (Serine 207th to Threonine), three mutants of NSs were developed by site-directed mutagenesis and tested for NP interaction by co-immunoprecipitation. NSsW61Y failed to interact with the nucleoprotein, which was substantiated by the conformational changes observed in the structural analyses. Additionally, molecular docking analysis corroborated that the NSW61Y mutant protein does not interact well compared to wild-type NSs. Over-expression of wild-type NSs in HeLa cells increased the SFTSV replication by five folds, but NSsW61Y exhibited 1.9-folds less viral replication than wild-type. We demonstrated that the W61Y alteration was implicated in the reduction of NSs-NP interaction and viral replication. Thus, the present study identified a critical NSs site, which could be targeted for development of therapeutic regimens against SFTSV.
MetNetComp: Database for Minimal and Maximal Gene-Deletion Strategies for Growth-Coupled Production of Genome-Scale Metabolic Networks

Growth-coupled production, in which cell growth forces the production of target metabolites, plays an essential role in the production of substances by microorganisms. The strains are first designed using computational simulation and then validated by biological experiments. In the simulations, gene-deletion strategies are often necessary because many metabolites are not produced in the natural state of the microorganisms. However, such information is not available for many metabolites owing to the requirement of heavy computation, especially when many gene deletions are required for genome-scale models. A database for such information will be helpful. However, developing such a database is not straightforward because heavy computation and the existence of replaceable genes render difficulty in efficient enumeration. In this study, the author developed efficient methods for enumerating minimal and maximal gene-deletion strategies and a web-based database system. MetNetComp provides information on 1) a total of 85,611 gene-deletion strategies excluding apparent duplicate counting for replaceable genes for 1,735 target metabolites, 11 constraint-based models, and 10 species; 2) necessary substrates and products in the process; and 3) reaction rates that can be used for visualization. MetNetComp is helpful for strain design and for new research paradigms using machine learning.
An analysis of design and technique of cluster point sampling in coastal Alaska old-growth forests

approved JohnR. Dilworth This study was a test of eight basal area factors and five point sampling cluster patterns in a computer oriented sampling study of coastal Alaska old-growth spruce-hemlock stands. It was an attempt to learn which basal area factor and which type of point sample cluster pattern should be used in such stands. A. test of the effect of stand density on point sampling was also made. All trees 3. 0 inches d. b. h. and larger on ten 3. 5 acre areas were measured and mapped in the field. Five of the areas had crown densities of from 40 to 69%, and the other five had crown densities of 70% or more, as determined from aerial photographs. The computer measured basal areas per acre for all forty of the basal area factor/sample cluster combinations on each of the stem mapped areas. These average basal areas were summarized for the five sampled areas in each density and analyzed in two ways. Analysis of variance was used to test for significant difference of precision and accuracy among the eight basal area factors, among the five sample cluster patterns, and between the two density classes. A chi-square analysis was used to determine the relative accuracy of the designs under test. Results of the analysis of variance indicated that there were highly significant differences among the variances of the basal area factors tested and a significant difference among the variances of the sample cluster patterns tested. There was no significant difference between the variances of the two stand density classes tested. No significant interaction was observed among the sample variances for the sets of variables tested. There were highly significant differences among the accuracies obtained with each of the basal area factors and with each of the sampie cluster patterns tested. There was no significant difference between accuracies of the density classes tested. A significant interaction was observed between the accuracies of the basal area factors tested and the accuracies of the cluster patterns tested. The data of this study indicated that samples from full density stands measured with large basal area factors tended to overestimate the true basal area of the stand. This overestimate increased as size of basal area factor increased. For that reason, and until further study denies that this bias exists, maximum basal area factors of 30 and 40 are recommended for sampling in medium and full density stands respectively. The data also indicate that, of the five cluster patterns tested, a 15 point cluster pattern provided the most accurate and most precise measure of basal area per acre. An Analysis of Design and Technique of Cluster Point Sampling in Coastal Alaska Old-Growth Forests
White Racial Identity, Racial Attitudes, and Latino Partisanship

Abstract While partisanship in American politics has been historically tied to racial identity and racial attitudes, most studies of Latino partisanship do not incorporate these factors into understanding their partisan attachments. I argue that the concepts of race, color, and mestizaje as they are understood within Latino communities in the United States can influence political attitudes and partisanship among Latinos themselves. Using six consecutive Cooperative Election Study (formerly Cooperative Congressional Election Study) surveys I examine how self-identification as white, racial resentment, and color-blind attitudes influence Latino partisanship. I find that white racial identity has a small but significant positive association with Republican partisanship among Latinos, and a negative association with Democratic partisanship. Additionally, negative racial attitudes among Latinos are strongly related to identification as Republican, even when controlling for ideology and other factors like immigrant generation and religion. These results have important implications for understanding current and future Latino voting patterns.
A review of the effects of earthquakes on underground mines

The n a t u r e and geography of earthquakes i s summarized and t h e e f f e c t s of ear thquakes on underground s t r u c t u r e s , due bo th t o t h e c a u s a t i v e process , f a u l t i n g , and t h e secondary p rocess , shaking, p r i m a r i l y i n t h e c o n t i n e n t a l United S t a t e s , i s reviewed. The p r i n c i p a l sou rces 'of information a r e eyewitness r e p o r t s , as i n s t r u m e n t a l l y der ived se ismologica l d a t a have been a v a i l a b l e f o r on ly about 70 yea r s . Reference i s made t o t h e r e s u l t s of instrumented s t u d i e s i n mines and da ta pe r t a in ing t o mine bumps and rock b u r s t s ' i n mines. The p e r c e p t i b i l i t y and p h y s i c a l e f f e c t s of ea r thquakes i n mines and underground workings deserve more sys t ema t i c s t u d y than they have received. Severe damage i s i n e v i t a b l e when a mine o r t u n n e l i n t e r s e c t s a f a u l t a long which movement o c c u r s dur ing an earthquake. Nines i n t h e e p i c e n t r a l reg ion o f s t r o n g ear thquakes , b u t not t ransec ted by f a u l t movement, may s u f f e r s e v e r e damage by shaking. Plines o u t s i d e of t h e epicent r a l r e g i o n a r e l i k e l y t o s u f f e r l i t t l e o r no damage from a s t r o n g earthquake. Other f a c t o r s be ing equal , i t appears reasonable t h a t t h e s e v e r i t y of damage due t o shaking would probably be l e a s t i n a mine l o c a t e d i n f r e s h , h i g h l y competent rock; somewhat g r e a t e r UU. S . Geologica l Survey, Nat ional Center , Reston, V i r g i n i a damage would probably b e expected i n a mine i n weathered o r l e s s competent rock; and t h e g r e a t e s t damage would be expected i n a mine loca ted i n l o o s e unconsol idated o r incompetent rock.
Effect of an activity wristband-based intermittent teaching unit in Physical Education on studentsʼ physical activity and its psychological mediators: a cluster-randomized controlled trial. School-fit study

Objective The main objective of the present study was to examine the effects of an intermittent teaching unit based on the use of activity wristbands and behavior modification strategies on high school studentsʼ perceptions of autonomy support, satisfaction of basic psychological needs, motivation toward Physical Education and physical activity, intention to be physically active, and habitual physical activity levels. Materials and methods An initial sample of 353 high school students (final sample = 175; 45.7% females; mean age = 13.3 ± 1.2 years) from two public high schools were cluster-randomly assigned into the intermittent (IG, n = 100) and control (CG, n = 75) groups. The IG performed an intermittent teaching unit twice a week for eight weeks. Specifically, the last 15 min of each lesson were used. As the main strategy to promote the practice of regular physical activity, students wore an activity wristband the whole day during the intervention period. Additionally, other behavior modification strategies were also applied (e.g., educational counseling, physical activity goals or reminders). Regarding the CG, during the intervention period (i.e,, the eight weeks that took place the intermittent teaching unit) they also performed two Physical Education sessions, but without using activity wristbands or other behavior modification strategies. Before and after the intervention, as well as at the end of the follow-up period (six weeks), students’ physical activity practice mediators and physical activity levels were measured by validated questionnaires. Results The Multilevel Linear Model results showed that the IG students statistically significantly improved cognitive and procedural autonomy support from pre- to post-intervention (p < 0.05). They also statistically significantly improved autonomy and relatedness basic psychological needs, and autonomous motivation toward physical activity scores from post-intervention to follow-up (p < 0.05). Moreover, the results showed that the IG students statistically significantly improved habitual physical activity scores from pre- to post-intervention, and from post-intervention to follow-up (p < 0.05). Conclusion The intermittent teaching unit based on the use of activity wristbands and other behavior modification strategies was effective for improving studentsʼ autonomy support and habitual physical activity levels, but not the rest of physical activity practice mediators. Clinical trial registration https://register.clinicaltrials. gov/, ID: NCT05949463.
Effects of Whey Protein Supplementation on Inflammatory Marker Concentrations in Older Adults

Although whey protein isolate (WPI) has been shown to be immunomodulatory, its ability to modulate production of a broad array of inflammatory markers has not previously been investigated in healthy adults. We investigated the effects of daily supplementation with 35 g of WPI for 3 weeks on inflammatory marker concentrations in the blood serum and feces of 14 older adult subjects (mean age: 59). Serum was analyzed using a multiplex assay to quantify the cytokines IFN-γ, IL-1β, IL-1RA, IL-2, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12p70, IL-13, IL-17A and TNF-α. Fecal samples were analyzed using an ELISA for the inflammatory markers calprotectin and lactoferrin. Our results yielded high inter-subject variability and a significant proportion of cytokine concentrations that were below our method’s limit of quantification. We observed decreases in serum IL-12p70 in the washout phase compared with baseline, as well as the washout stage for fecal lactoferrin relative to the intervention stage. Serum IL-13 was also significantly reduced during the intervention and washout stages. Our data suggest that whey protein supplementation did not significantly alter most inflammatory markers measured but can alter concentrations of some inflammatory markers in healthy older adults. However, our study power of 35% suggests the number of participants was too low to draw strong conclusions from our data.
Analysis of source term modeling of vortex generator

Vortex-generators (VGs) are widely used for flow control on aircrafts, however, its mechanism is not perfectly understood yet because of the complexity of flowwith interactions between vortex and turbulent boundary layer. Large eddy simulation (LES) can be a suitable tool to analyze the such complex dynamics, however, the detailed CFD analysis with VG created by computational grid directly requires much time and effort. Thus, the VGs modeling method, such as the BAY-model, is appropriate to calculate with low computational costs. In this paper, we compare between the VG of body-fitted grid and BAY-model, and assess the performance and properties of this model. We evaluate the two errors of the BAY-model, those are modeling error and grid induced error, separately. The results show that the modeling error is very small and it can be ignored to simulate a longitudinal vortex. However, it was observed that the difference of the grid selecting method influences the performance of the BAY-model on Cartesian grids.