Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of Local Potential-Based Biodiversity E-booklets on Students' Critical Thinking Skills

Cirebon Regency is one of the areas in West Java which is located on the coast of the Java Sea and has good natural resource potential, causing the biodiversity in the Cirebon area to be relatively high and attractive, thus having potential that can be used as a learning resource. This study aims to analyze the effectiveness of implementing the local potential-based biodiversity e-booklet on critical thinking skills according to Ennis, which consists of aspects of providing simple explanations, building basic skills, concluding, further clarification, setting strategies and tactics. This research is a development research or Research and Development (R&D) that adopts the Sugiyono model (2017) with the research subject of 101 students of class X SMA Negeri 1 Losari, MAN 5 Cirebon and SMA NU Ciledug. The sampling technique was purposive sampling with a one group pre-test post-test design. The pretest and posttest questions consist of 20 multiple choice questions according to the critical thinking aspect according to Ennis. The results showed that the local potential-based biodiversity e-booklet was effective for improving critical thinking skills with the results of the N-gain test in the high category (35.67%), medium (58.53%), low (5.80%) with the average N-gain is 0.63 which is included in the medium category and classical completeness reaches 86.14%. Biodiversity e-booklets based on local potential are effectively used to improve students' critical thinking skills.
Jns Journal of Nutritional Science

Bioavailability of n-3 fatty acids from n-3-enriched foods and fish oil with different oxidative quality in healthy human subjects: a randomised single-meal cross-over study Abstract Regular consumption of long-chain n-3 fatty acids (LC n-3 FA) reduces postprandial triacylglycerolaemia. Functional foods and supplements are alternative sources of LC n-3 FA; however, emulsification technologies, food matrices and altered lipid oxidation levels affect their bioavailability. Moreover, which functional foods are optimal LC n-3 FA carriers is unknown. The aim of the study was to determine the bioavailability of LC n-3 FA and the postprandial TAG response after the intake of oxidised or non-oxidised cod liver oil and after the intake of emulsified or non-emulsified LC n-3 FA using novel functional food items as LC n-3 FA carriers in a randomised cross-over acute study. A total of twenty-four healthy subjects completed the study in which subjects consumed one of four different test meals containing 1·5 g LC n-3 FA, or a control meal with no LC n-3 FA. Postprandial TAG-rich lipoproteins were isolated and their fatty acid composition was measured. The LC n-3 FA from emulsified foods were more rapidly incorporated into TAG-rich lipo-proteins compared with non-emulsified foods. The incorporation of LC n-3 FA was similar for oils emulsified in yogurt or juice and was unaffected by the oxidative status of the oil. Postprandial TAG levels did not differ among the various test meals. In conclusion, emulsification increases the bioavailability of LC n-3 FA through a more rapid incorporation into TAG-rich lipoproteins, and juice and yogurt are equally suited as LC n-3 FA carriers. The acute intake of oxidised cod liver oil does not influence the incorporation of LC n-3 FA into TAG-rich lipoproteins. distributed under the terms of the Creative Commons Attribution licence (http://creative-commons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
The labour market integration of refugee and family reunion immigrants: a comparison of outcomes in Canada and Sweden

This paper assesses the employment and earnings trajectories of refugee and family reunion category immigrants in Canada and Sweden using two national level sources of data. The Canadian Immigration Database (IMDB) is a file that links the intake record of post-1979 immigrants with annual taxation records. The 2007 Swedish Register Data includes information on all legal permanent residents. Using standard regression methods, we compare labour force outcomes of age–sex–schooling–place of birth cohorts looking specifically at non-economic (family reunion and refugee intake) immigrants from Iran, Iraq, Afghanistan and the former Yugoslavia. We find that the employment and earning trajectories of the selected non-economic migrant groups are quite similar in the two host countries, although earnings are higher in Canada than in Sweden.
Novel inflammatory markers of coronary risk: theory versus practice.

For practitioners committed to coronary risk reduction, recent clinical trial data pose a considerable challenge. Specifically, in the Air Force/Texas Coronary Atherosclerosis Prevention Study (AFCAPS/TexCAPS), a primary prevention trial,1 treatment with lovastatin among an apparently healthy group of individuals without traditional coronary risk factors resulted in significant reductions in future cardiovascular events. Application of the results of that trial and of the West of Scotland primary prevention trial of pravastatin2 suggests that tens of millions of Americans without manifest atherosclerosis could benefit from lipid-lowering therapy. Such a blanket approach, however, may be unwise from medical as well as economic perspectives. Unnecessary exposure to pharmacological agents, even those as safe as the statins, will ultimately subject some asymptomatic and low-risk individuals to unwanted side effects. Furthermore, economic constraints dictate that primary prevention strategies with even modest cost must be limited to those individuals who are likely to gain the greatest benefit. Even when an inexpensive preventive therapy such as low-dose aspirin is proven effective,3 behavioral barriers on the parts of both physicians and patients must be overcome if long-term compliance is to be achieved. All of these considerations highlight the need for better methods to stratify risk of atherosclerotic events in apparently healthy populations. Clinical strategies designed to improve risk prediction have taken several forms. Imaging techniques including carotid ultrasound, MRI, and electron beam computed tomography (EBCT) all hold promise for identifying “vulnerable plaques” and detecting silent atheroma. However, prospective studies demonstrating the clinical utility of these approaches are limited. For example, a recent study4 of coronary calcification detected by EBCT has shown that this method does not accurately predict future coronary events, even in high-risk patients. The cost of these noninvasive imaging modalities may also prohibit their application for widespread screening application. Provocative testing of endothelium-dependent …
Self-assembly for discreet, fault-tolerant, and scalable computation on internet-sized distributed networks

When engineers compare biological and software systems, the former come out ahead in the majority of dimensions. For example, the human body is far more complex, better suited to deal with faulty components, more resistant to malicious agents such as viruses, and more adaptive to environmental changes than your favorite operating system. Thus it follows that we, the engineers, may be able to build better software systems than the ones we build today by borrowing technologies from nature and injecting them into our system design process. In this dissertation, I present an architectural style and accompanying implementation support for building distributed software systems that allow large networks, such as the Internet, to solve computationally intensive problems. This architectural style, the tile style, is based on a nature's system of crystal growth, and thus inherits some of nature's dependability, fault and adversary tolerance, scalability, and security. The tile style allows one to distribute computation onto a large network in a way that guarantees that unless someone controls a large fraction of the network, they cannot learn the private data within the computation or force the computation to fail. These systems are highly scalable, capable of dealing with faulty and malicious nodes, and are discreet since every sufficiently small group of nodes knows neither the problem nor the data. The tile style is based on a formal mathematical model of self-assembly. In order to leverage this model to build software, I define the notion of self-assembling computation and develop systems that compute functions such as adding, multiplying, factoring, and solving NP-complete problems SubsetSum and SAT. For each system, I prove its correctness, compute its probability of successful computation, and show that its running time and tileset size are asymptotically optimal. I use the mathematical nature of the tile assembly model to present a formal mathematical analysis of the tile style, proving that software systems built using this style are discreet, fault- and adversary-tolerant, and scalable. I further implement a tile-style system and use it to distribute computation to empirically evaluate the tile style's utility.
Application of the recurrent multilayer perceptron in modeling complex process dynamics

A nonlinear dynamic model is developed for a process system, namely a heat exchanger, using the recurrent multilayer perceptron network as the underlying model structure. The perceptron is a dynamic neural network, which appears effective in the input-output modeling of complex process systems. Dynamic gradient descent learning is used to train the recurrent multilayer perceptron, resulting in an order of magnitude improvement in convergence speed over a static learning algorithm used to train the same network. In developing the empirical process model the effects of actuator, process, and sensor noise on the training and testing sets are investigated. Learning and prediction both appear very effective, despite the presence of training and testing set noise, respectively. The recurrent multilayer perceptron appears to learn the deterministic part of a stochastic training set, and it predicts approximately a moving average response of various testing sets. Extensive model validation studies with signals that are encountered in the operation of the process system modeled, that is steps and ramps, indicate that the empirical model can substantially generalize operational transients, including accurate prediction of instabilities not in the training set. However, the accuracy of the model beyond these operational transients has not been investigated. Furthermore, online learning is necessary during some transients and for tracking slowly varying process dynamics. Neural networks based empirical models in some cases appear to provide a serious alternative to first principles models.
The Quality of Life in Patients with Spinal Cord Injury: Assessment and Rehabilitation

Background and Objectives: Spinal Cord Injury (SCI) develops when the spinal cord is damaged and leads to partial or complete loss of motor and/or sensory function, usually below the level of injury. Medical advances in the last few decades have enabled SCI patients to survive after their initial injury and extend their life expectancy. As a result, the need for outcome measures to assess health and Quality of Life (QoL) after rehabilitation is increasing. All QoL assessment measures include implicit or explicit reactions and evaluations of a person’s life characteristics. This review aims to investigate QoL and its assessment in patients with SCI and how the instruments that are used may influence rehabilitation. Materials and Methods: Studies were identified from an online search of PubMed, Cochrane Library, and Scopus databases. Studies published between 2013 and 2023 were selected. This review has been registered on OSF (n) 892NY. Results: We found that different psychological and physical aspects can positively or negatively influence the QoL of SCI patients, and the measurement of this aspect, despite the number of tools, is limited due to the lack of a universal definition of this theme and the greater prevalence of quantitative rather than qualitative tools. Conclusions: This review has demonstrated that clinicians and psychologists involved in SCI rehabilitation should consider tools that use high-quality standardized outcome measures to detect and compare potential differences and outcomes of interventions related to HRQoL and their relationship with the personality and functional status of the patient.
Georadar‐derived estimates of firn density in the percolation zone, western Greenland ice sheet

[1] Greater understanding of variations in firn densification is needed to distinguish between dynamic and melt-driven elevation changes on the Greenland ice sheet. This is especially true in Greenland's percolation zone, where firn density profiles are poorly documented because few ice cores are extracted in regions with surface melt. We used georadar to investigate firn density variations with depth along a ∼70 km transect through a portion of the accumulation area in western Greenland that partially melts. We estimated electromagnetic wave velocity by inverting reflection traveltimes picked from common midpoint gathers. We followed a procedure designed to find the simplest velocity versus depth model that describes the data within estimated uncertainty. On the basis of the velocities, we estimated 13 depth-density profiles of the upper 80 m using a petrophysical model based on the complex refractive index method equation. At the highest elevation site, our density profile is consistent with nearby core data acquired in the same year. Our profiles at the six highest elevation sites match an empirically based densification model for dry firn, indicating relatively minor amounts of water infiltration and densification by melt and refreeze in this higher region of the percolation zone. At the four lowest elevation sites our profiles reach ice densities at substantially shallower depths, implying considerable meltwater infiltration and ice layer development in this lower region of the percolation zone. The separation between these two regions is 8 km and spans 60 m of elevation, which suggests that the balance between dry-firn and melt-induced densification processes is sensitive to minor changes in melt.
Imaging of Melanin Disruption in Age-Related Macular Degeneration Using Multispectral Imaging.

BACKGROUND AND OBJECTIVE To investigate whether multispectral imaging (MSI) is able to obtain a noninvasive view of melanin disruption associated with age-related macular degeneration (AMD), which could support early diagnosis and potential treatment strategies. PATIENTS AND METHODS A single retinal center, retrospective, observational, image analysis study of MSI images of 43 patients was done to determine the extent of melanin pigment exhibited in association with AMD, based on the Age-Related Eye Disease Study classification and grading scale. Corresponding fundus photos were also graded for 12 of the eyes. RESULTS Fifty-one of 61 eyes (84%) of 43 patients with AMD were determined to have melanin disruption in their MSI images in at least the central and/or one of four inner ETDRS areas. There was a relationship between severity of disease and the degree of melanin disruption. The sensitivity of fundus photography for melanin pigment as compared to MSI was only 62.5%, with three false-negatives. CONCLUSION A direct, noninvasive, unobstructed view of melanin disruption associated with AMD can be observed using MSI.
Multimodel estimates of intercontinental source-receptor relationships for ozone pollution

Understanding the surface O-3 response over a "receptor" region to emission changes over a foreign "source" region is key to evaluating the potential gains from an international approach to abate ozone (O-3) pollution. We apply an ensemble of 21 global and hemispheric chemical transport models to estimate the spatial average surface O-3 response over east Asia (EA), Europe (EU), North America (NA), and south Asia (SA) to 20% decreases in anthropogenic emissions of the O-3 precursors, NOx, NMVOC, and CO (individually and combined), from each of these regions. We find that the ensemble mean surface O-3 concentrations in the base case (year 2001) simulation matches available observations throughout the year over EU but overestimates them by > 10 ppb during summer and early fall over the eastern United States and Japan. The sum of the O-3 responses to NOx, CO, and NMVOC decreases separately is approximately equal to that from a simultaneous reduction of all precursors. We define a continental-scale "import sensitivity" as the ratio of the O-3 response to the 20% reductions in foreign versus "domestic" (i.e., over the source region itself) emissions. For example, the combined reduction of emissions from the three foreign regions produces an ensemble spatial mean decrease of 0.6 ppb over EU (0.4 ppb from NA), less than the 0.8 ppb from the reduction of EU emissions, leading to an import sensitivity ratio of 0.7. The ensemble mean surface O-3 response to foreign emissions is largest in spring and late fall (0.7-0.9 ppb decrease in all regions from the combined precursor reductions in the three foreign regions), with import sensitivities ranging from 0.5 to 1.1 (responses to domestic emission reductions are 0.8-1.6 ppb). High O-3 values are much more sensitive to domestic emissions than to foreign emissions, as indicated by lower import sensitivities of 0.2 to 0.3 during July in EA, EU, and NA when O-3 levels are typically highest and by the weaker relative response of annual incidences of daily maximum 8-h average O-3 above 60 ppb to emission reductions in a foreign region(< 10-20% of that to domestic) as compared to the annual mean response (up to 50% of that to domestic). Applying the ensemble annual mean results to changes in anthropogenic emissions from 1996 to 2002, we estimate a Northern Hemispheric increase in background surface O-3 of about 0.1 ppb a(-1), at the low end of the 0.1-0.5 ppb a(-1) derived from observations. From an additional simulation in which global atmospheric methane was reduced, we infer that 20% reductions in anthropogenic methane emissions from a foreign source region would yield an O-3 response in a receptor region that roughly equals that produced by combined 20% reductions of anthropogenic NOx, NMVOC, and CO emissions from the foreign source
The Role of Human Cytochrome P450 Enzymes in the Formation of 2-Hydroxymetronidazole: CYP2A6 is the High Affinity (Low Km) Catalyst

Despite metronidazole’s widespread clinical use since the 1960s, the specific enzymes involved in its biotransformation have not been previously identified. Hence, in vitro studies were conducted to identify and characterize the cytochrome P450 enzymes involved in the formation of the major metabolite, 2-hydroxymetronidazole. Formation of 2-hydroxymetronidazole in human liver microsomes was consistent with biphasic, Michaelis-Menten kinetics. Although several cDNA-expressed P450 enzymes catalyzed 2-hydroxymetronidazole formation at a supratherapeutic concentration of metronidazole (2000 μM), at a “therapeutic concentration” of 100 μM only CYPs 2A6, 3A4, 3A5, and 3A7 catalyzed metronidazole 2-hydroxylation at rates substantially greater than control vector, and CYP2A6 catalyzed 2-hydroxymetronidazole formation at rates 6-fold higher than the next most active enzyme. Kinetic studies with these recombinant enzymes revealed that CYP2A6 has a Km = 289 μM which is comparable to the Km for the high-affinity (low-Km) enzyme in human liver microsomes, whereas the Km values for the CYP3A enzymes corresponded with the low-affinity (high-Km) component. The sample-to-sample variation in 2-hydroxymetronidazole formation correlated significantly with CYP2A6 activity (r ≥ 0.970, P < 0.001) at substrate concentrations of 100 and 300 μM. Selective chemical inhibitors of CYP2A6 inhibited metronidazole 2-hydroxylation in a concentration-dependent manner and inhibitory antibodies against CYP2A6 virtually eliminated metronidazole 2-hydroxylation (>99%). Chemical and antibody inhibitors of other P450 enzymes had little or no effect on metronidazole 2-hydroxylation. These results suggest that CYP2A6 is the primary catalyst responsible for the 2-hydroxylation of metronidazole, a reaction that may function as a marker of CYP2A6 activity both in vitro and in vivo.
Quantitative Cross-Species Extrapolation between Humans and Fish: The Case of the Anti-Depressant Fluoxetine

Fish are an important model for the pharmacological and toxicological characterization of human pharmaceuticals in drug discovery, drug safety assessment and environmental toxicology. However, do fish respond to pharmaceuticals as humans do? To address this question, we provide a novel quantitative cross-species extrapolation approach (qCSE) based on the hypothesis that similar plasma concentrations of pharmaceuticals cause comparable target-mediated effects in both humans and fish at similar level of biological organization (Read-Across Hypothesis). To validate this hypothesis, the behavioural effects of the anti-depressant drug fluoxetine on the fish model fathead minnow (Pimephales promelas) were used as test case. Fish were exposed for 28 days to a range of measured water concentrations of fluoxetine (0.1, 1.0, 8.0, 16, 32, 64 µg/L) to produce plasma concentrations below, equal and above the range of Human Therapeutic Plasma Concentrations (HTPCs). Fluoxetine and its metabolite, norfluoxetine, were quantified in the plasma of individual fish and linked to behavioural anxiety-related endpoints. The minimum drug plasma concentrations that elicited anxiolytic responses in fish were above the upper value of the HTPC range, whereas no effects were observed at plasma concentrations below the HTPCs. In vivo metabolism of fluoxetine in humans and fish was similar, and displayed bi-phasic concentration-dependent kinetics driven by the auto-inhibitory dynamics and saturation of the enzymes that convert fluoxetine into norfluoxetine. The sensitivity of fish to fluoxetine was not so dissimilar from that of patients affected by general anxiety disorders. These results represent the first direct evidence of measured internal dose response effect of a pharmaceutical in fish, hence validating the Read-Across hypothesis applied to fluoxetine. Overall, this study demonstrates that the qCSE approach, anchored to internal drug concentrations, is a powerful tool to guide the assessment of the sensitivity of fish to pharmaceuticals, and strengthens the translational power of the cross-species extrapolation.