Miracle-dz/UniFAR-FTUs huggingface dataset:
Convergence of MUSCL Relaxing Schemes forConservation Laws with Sti Source

We consider the convergence and stability property of MUSCL relaxing schemes applied to conservation laws with stii source terms. The maximum principle for the numerical schemes will be established. It will be also shown that the MUSCL relaxing schemes are uniformly l 1-and T V-stable in the sense that they are bounded by a constant independent of the relaxation parameter , the Lipschitz constant of the stii source term and the time step t. The Lipschitz constant of the l 1 continuity in time for the MUSCL relaxing schemes is shown to be independent of and t. The convergence of the relaxing schemes to the corresponding MUSCL relaxed schemes is then established.
Dengue and Soluble Mediators of the Innate Immune System

Huge emphasis has been placed on the role of the adaptive immune system in dengue pathogenesis. Yet there is increasing evidence for the importance of the innate immune system in regulating dengue infection and possibly influencing the disease. This review focuses on the interplay between the innate immune system and dengue and highlights the role of soluble immunological mediators. Type I and type II interferons of the innate immune system demonstrate non-overlapping roles in dengue infection. Furthermore, while some IFN responses to dengue are protective, others may exert disease-related effects on the host. But aside from interferons, a number of cytokines have also been implicated in dengue pathogenesis. Our expanding knowledge of cytokines indicates that these soluble mediators act upon a complicated network of events to provoke the disease. This cytokine storm is generally attributed to massive T cell activation as an outcome of secondary infection. However, there is reason to believe that innate immune response-derived cytokines also have contributory effects, especially in the context of severe cases of primary dengue infection. Another less popular but interesting perspective on dengue pathogenesis is the effect of mosquito feeding on host immune responses and viral infection. Various studies have shown that soluble factors from vector saliva have the capacity to alter immune reactions and thereby influence pathogen transmission and establishment. Hence, modulation of the innate immune system at various levels of infection is a critical component of dengue disease. In the absence of an approved drug or vaccine for dengue, soluble mediators of the innate immune system could be a strategic foothold for developing anti-viral therapeutics and improving clinical management.
Influence Good Corporate Governance (GCG) And Islamic corporate social responsibility (ICSR) Against Corporate Value With Financial Performance As Variable Intervening at Bank Muamalat Indonesia

Research Aims: Knowing the influence of GCG and ICSR on company value through financial performance. Methodology: The method used in this research is quantitative research with data analysis using PLS and path analysis. Research Findings: From the results of the analysis used in this research, the results showed that the influence of the GCG variable on company value and financial performance was proven to be significant in a positive direction, the influence of the ICSR variable on company value was proven to be insignificant but in a positive direction, the influence of the ICSR variable on financial performance was proven to be significant in a negative direction. , the influence of the GCG variable on company value through financial performance is proven to be mediating and the influence of the ICSR variable on company value through financial performance is proven not to mediate. Theoretical Contribution: The grand theory used in this research includes,legitimacy theory, stakeholder theory, signaling theory and agency theoryby testing four variables consisting of independent variables, dependent variables and mediating variables. Research limitation and implication: The limitations of this research are on the subject of banks that use one bank, namely Bank Muamalat Indonesia.
IMMUNOGLOBULIN D AS A LYMPHOCYTE RECEPTOR

A large proportion of the human peripheral blood lymphocytes of adults and newborns having IgD were found also to have IgM on their membranes and vice versa. A few lymphocytes had one of these classes only. IgD and IgM could be capped independently on the same cell. The possibility that IgD was acquired by a cytophilic process was excluded by the finding that IgD-bearing cells were of one light chain type only, and by the direct demonstration of reappearance of IgD on the lymphocyte membrane during incubation in an IgD-free culture medium. On the basis of these findings, it is proposed that IgD functions as a lymphocyte antigen receptor.
Binding of an Indenoisoquinoline to the Topoisomerase-DNA Complex Induces Reduction of Linker Mobility and Strengthening of Protein-DNA Interaction

Long-duration comparative molecular dynamics simulations of the DNA-topoisomerase binary and DNA-topoisomerase-indenoisoquinoline ternary complexes have been carried out. The analyses demonstrated the role of the drug in conformationally stabilizing the protein-DNA interaction. In detail, the protein lips, clamping the DNA substrate, interact more tightly in the ternary complex than in the binary one. The drug also reduces the conformational space sampled by the protein linker domain through an increased interaction with the helix bundle proximal to the active site. A similar alteration of linker domain dynamics has been observed in a precedent work for topotecan but the molecular mechanisms were different if compared to those described in this work. Finally, the indenoisoquinoline keeps Lys532 far from the DNA, making it unable to participate in the religation reaction, indicating that both short- and long-range interactions contribute to the drug poisoning effect.
Modified immunoradiometric assay of parathyroid hormone-related protein: clinical application in the differential diagnosis of hypercalcemia.

We have developed a sensitive, specific solid-phase immunoradiometric assay (IRMA) of parathyroid hormone-related protein (PTH-RP) with use of affinity-purified polyclonal immunoglobulins. Antibodies recognizing PTH-RP(37-74) are immobilized to a polystyrene bead to "capture" analytes from the sample; antibodies to epitopes within the 1-36 amino acid region of PTH-RP are labeled with 125I. This IRMA recognizes PTH-RP(1-74) and PTH-RP(1-86) equivalently, but does not detect N-terminal or C-terminal fragments of PTH-RP, intact human parathyrin (PTH), or fragments of PTH. PTH-RP is not stable in plasma at 3-5 degrees C or room temperature, but a mixture of aprotinin (500 kallikrein units/L) and leupeptin (2.5 mg/L) improves PTH-RP stability in blood samples. In plasma collected in the presence of these protease inhibitors from normal volunteers and patients with various disorders of calcium metabolism, PTH-RP concentrations were above normal (greater than 1.5 pmol/L) in 91% (42 of 46) of patients with hypercalcemia associated with nonhematological malignancy. In plasma from patients with other hypercalcemic conditions (e.g., primary hyperparathyroidism, sarcoidosis, and vitamin D excess), PTH-RP was undetectable. Above-normal concentrations of PTH-RP and total calcium decreased to normal in a patient with an ovarian cyst adenocarcinoma after surgical removal of the tumor. We conclude that PTH-RP is related to and probably the causative agent of hypercalcemia in most patients with cancer, and that measurements of PTH-RP are useful in the diagnosis and management of patients with tumor-associated hypercalcemia.
Proteolysis of the 85-Kilodalton Crystalline Cysteine Proteinase Inhibitor from Potato Releases Functional Cystatin Domains

The protein crystals found in potato (Solanum tuberosum L.) tuber cells consist of a single 85-kD polypeptide. This polypeptide is an inhibitor of papain and other cysteine proteinases and is capable of binding several proteinase molecules simultaneously (P. Rodis, J.E. Hoff [1984] Plant Physiol 74: 907–911). We have characterized this unusual inhibitor in more detail. Titrations of papain activity with the potato papain inhibitor showed that there are eight papain binding sites per inhibitor molecule. The inhibition constant (Ki) value for papain inhibition was 0.1 nM. Treatment of the inhibitor with trypsin resulted in fragmentation of the 85-kD polypeptide into a 32-kD polypeptide and five 10-kD polypeptides. The 32-kD and 10-kD fragments all retained the ability to potently inhibit papain (Ki values against papain were 0.5 and 0.7 nM, respectively) and the molar stoichiometries of papain binding were 2 to 3:1 and 1:1, respectively. Other nonspecific proteinases such as chymotrypsin, subtilisin Carlsberg, thermolysin, and proteinase K also cleaved the 85-kD inhibitor polypeptide into functional 22-kD and several 10-kD fragments. The fragments obtained by digestion of the potato papain inhibitor with trypsin were purified by reverse-phase high-performance liquid chromatography, and the N-terminal amino acid sequence was obtained for each fragment. Comparison of these sequences showed that the fragments shared a high degree of homology but were not identical. The sequences were homologous to the N termini of members of the cystatin superfamily of cysteine proteinase inhibitors. Therefore, the inhibitor appears to comprise eight tandem cystatin domains linked by proteolytically sensitive junctions. We have called the inhibitor potato multicystatin (PMC). By immunoblot analysis and measurement of papain inhibitory activity, PMC was found at high levels in potato leaves (up to 0.6 mg/g fresh weight tissue), where it accumulated under conditions that induce the accumulation of other proteinase inhibitors linked to plant defense. PMC may have a similar defensive role, for example in protecting the plant from phytophagous insects that utilize cysteine proteinases for dietary protein digestion.
Relationship between Knowledge Level and Compliance with Dietary in Elderly Patients with Diabetes Mellitus in Karang Rejo Village, Langkat Regency

Elderly refers to a more advanced phase of a physiological process marked by a decline in the body's capacity to adjust to external pressures. One contributing factor to the rise in Diabetes Mellitus is a deficiency of understanding, which can subsequently influence the adoption of harmful behaviors. Health providers propose dietary behavior as a means to normalize blood sugar levels in elderly individuals with Diabetes Mellitus. The objective of this The aim of this research is to examine the relationship between levels of knowledge and adherence to dietary recommendations among elderly adults diagnosed with diabetes mellitus who live in Karang Rejo Village, Langkat Regency. In this study, a quantitative approach is employed, utilizing a cross-sectional research design. The present investigation was carried out at Karang Rejo Village, located in the Langkat Regency, spanning from February to October 2023. The research sample consisted of 780 older individuals diagnosed with Diabetes Mellitus, residing in Karang Rejo Village, Langkat Regency. The study utilizes a basic random sampling technique to ensure that each participant has an equal probability of being chosen for the sample, without considering their individual features. Consequently, the sample size for this study consisted of 42 old individuals. The primary instrument employed for data collection in this study was a questionnaire. The present study employed bivariate analysis chi-square test for data analysis, and utilized software help in the form of SPSS version 20 for data processing. The findings indicated a statistically significant correlation (p-value = 0.001) between the extent of knowledge and adherence to dietary recommendations among older individuals diagnosed with diabetes mellitus residing in Karang Rejo Village, Langkat Regency. There is an aspiration for the senior population to enhance their knowledge and engage with information sourced from health centers and various social media platforms. Keywords: Compliance, Dietary, Elderly, Knowledge
Identifying Relationships among Genomic Disease Regions: Predicting Genes at Pathogenic SNP Associations and Rare Deletions

Translating a set of disease regions into insight about pathogenic mechanisms requires not only the ability to identify the key disease genes within them, but also the biological relationships among those key genes. Here we describe a statistical method, Gene Relationships Among Implicated Loci (GRAIL), that takes a list of disease regions and automatically assesses the degree of relatedness of implicated genes using 250,000 PubMed abstracts. We first evaluated GRAIL by assessing its ability to identify subsets of highly related genes in common pathways from validated lipid and height SNP associations from recent genome-wide studies. We then tested GRAIL, by assessing its ability to separate true disease regions from many false positive disease regions in two separate practical applications in human genetics. First, we took 74 nominally associated Crohn's disease SNPs and applied GRAIL to identify a subset of 13 SNPs with highly related genes. Of these, ten convincingly validated in follow-up genotyping; genotyping results for the remaining three were inconclusive. Next, we applied GRAIL to 165 rare deletion events seen in schizophrenia cases (less than one-third of which are contributing to disease risk). We demonstrate that GRAIL is able to identify a subset of 16 deletions containing highly related genes; many of these genes are expressed in the central nervous system and play a role in neuronal synapses. GRAIL offers a statistically robust approach to identifying functionally related genes from across multiple disease regions—that likely represent key disease pathways. An online version of this method is available for public use (http://www.broad.mit.edu/mpg/grail/).
Synoptic Analysis of Cold Air Outbreaks over the California Central Valley

AbstractHow does extreme cold air reach the California Central Valley (CCV) and most of the U.S. west coast? This question is answered using composite patterns for the 10 coldest cold air outbreaks (CAOs) to reach the CCV during 1979–2013. While unusually cold air over California occurs in all events by design, how it arrives there is complicated and varies. The only other feature present in all events for several days prior to CAO onset is unusually strong surface high pressure in and south of the Gulf of Alaska. This high has low-level cold air on its west side and a deep layer of cold air moving southward on its east side. Cold air aloft flows parallel to the North American west coast and sinks as it approaches the CCV. Farther west, warm advection builds a ridge aloft. The large-scale meteorological pattern (LSMP) is equivalent barotropic. The LSMP’s ridge over Alaska, trough near California, and ridge over the southeastern United States appear in all cases by onset and resemble the Pacific–North Amer.
Genome Sequence of the Thermophilic Cyanobacterium Thermosynechococcus sp. Strain NK55a

ABSTRACT The genome of the unicellular cyanobacterium Thermosynechococcus sp. strain NK55a, isolated from the Nakabusa hot spring, Nagano Prefecture, Japan, comprises a single, circular, 2.5-Mb chromosome. The genome is predicted to contain 2,358 protein-encoding genes, including genes for all typical cyanobacterial photosynthetic and metabolic functions. No genes encoding hydrogenases or nitrogenase were identified.
Fruits, vegetables, and colon cancer risk in a pooled analysis of 14 cohort studies.

BACKGROUND Fruit and vegetable intakes have been associated with a reduced risk of colon cancer; however, in more recent studies associations have been less consistent. Statistical power to examine associations by colon site has been limited in previous studies. METHODS Fruit and vegetable intakes in relation to colon cancer risk were examined in the Pooling Project of Prospective Studies of Diet and Cancer. Relative risks (RRs) and 95% confidence intervals (CIs) were estimated separately in 14 studies using Cox proportional hazards model and then pooled using a random-effects model. Intakes of total fruits and vegetables, total fruits, and total vegetables were categorized according to quintiles and absolute cutpoints. Analyses were conducted for colon cancer overall and for proximal and distal colon cancer separately. All statistical tests were two-sided. RESULTS Among 756,217 men and women followed for up to 6 to 20 years, depending on the study, 5838 were diagnosed with colon cancer. The pooled multivariable RRs (95% CIs) of colon cancer for the highest versus lowest quintiles of intake were 0.91 (0.82 to 1.01, P(trend) = . 19) for total fruits and vegetables, 0.93 (0.85 to 1.02, P(trend) = . 28) for total fruits, and 0.94 (0.86 to 1.02, P(trend) = . 17) for total vegetables. Similar results were observed when intakes were categorized by identical absolute cut points across studies (pooled multivariable RR = 0.90, 95% CI = 0.77 to 1.05 for 800 or more versus <200 g/day of total fruits and vegetables, P(trend) = . 06). The age-standardized incidence rates of colon cancer for these two intake categories were 54 and 61 per 100,000 person-years, respectively. When analyzed by colon site, the pooled multivariable RRs (95% CIs) comparing total fruit and vegetable intakes of 800 or more versus less than 200 g/day were 0.74 (0.57 to 0.95, P(trend) = . 02) for distal colon cancers and 1.02 (0.82 to 1.27, P(trend) = . 57) for proximal colon cancers. Similar site-specific associations were observed for total fruits and total vegetables. CONCLUSION Fruit and vegetable intakes were not strongly associated with colon cancer risk overall but may be associated with a lower risk of distal colon cancer.
The reducts of equality up to primitive positive interdefinability

Abstract We initiate the study of reducts of relational structures up to primitive positive interdefinability: After providing the tools for such a study, we apply these tools in order to obtain a classification of the reducts of the logic of equality. It turns out that there exists a continuum of such reducts. Equivalently, expressed in the language of universal algebra, we classify those locally closed clones over a countable domain which contain all permutations of the domain.
Attention and prediction in human audition: a lesson from cognitive psychophysiology

Attention is a hypothetical mechanism in the service of perception that facilitates the processing of relevant information and inhibits the processing of irrelevant information. Prediction is a hypothetical mechanism in the service of perception that considers prior information when interpreting the sensorial input. Although both (attention and prediction) aid perception, they are rarely considered together. Auditory attention typically yields enhanced brain activity, whereas auditory prediction often results in attenuated brain responses. However, when strongly predicted sounds are omitted, brain responses to silence resemble those elicited by sounds. Studies jointly investigating attention and prediction revealed that these different mechanisms may interact, e.g. attention may magnify the processing differences between predicted and unpredicted sounds. Following the predictive coding theory, we suggest that prediction relates to predictions sent down from predictive models housed in higher levels of the processing hierarchy to lower levels and attention refers to gain modulation of the prediction error signal sent up to the higher level. As predictions encode contents and confidence in the sensory data, and as gain can be modulated by the intention of the listener and by the predictability of the input, various possibilities for interactions between attention and prediction can be unfolded. From this perspective, the traditional distinction between bottom‐up/exogenous and top‐down/endogenous driven attention can be revisited and the classic concepts of attentional gain and attentional trace can be integrated.
To Hunt Or to Scavenge: Competitive Advantage and Competitive Strategy in Platform Industries

As in any industry, firms in platform industries choose competitive strategies to achieve competitive advantage. However, in platform industries the standards definition of competitive advantage that dichotomizes firms into those with or without competitive advantage is insufficient. We use a dynamic model to characterize types of competitive (dis-) advantage in platform industries and demonstrate that in such industries, market structures can be mapped into these types of competitive advantage. We simulate the model to find the optimal competitive strategy for each type of competitive advantage. Mapping these results back into market structure, we derive guidelines for determining a firm's optimal competitive strategy conditional on the firm's competitive position within the market, namely its competitive position within its platform and the position of its platform within the industry. We would like to thank Shane Greenstein as well as seminar participants at Harvard University, Northwestern University, University of Redlands, the ZEW conference in Mannheim, and the 3 Israel Strategy Conference for very helpful comments. All remaining errors are ours. * A previous version of this paper, entitled "To Hunt or to Scavenge: Optimal Investment Strategies in the Presence of Indirect Network Effects" received the best paper award of the 3 Israel Strategy Conference. ** Arison School of Management, Hertzliya, Israel, saritm@idc.ac. il *** School of Business, Redlands, Ca-92373-0999, Tel. : (909) 748-8779, johannes_moenius@redlands.edu To Hunt or to Scavenge page 2
Mimicking Very Efficient Network for Object Detection

Current CNN based object detectors need initialization from pre-trained ImageNet classification models, which are usually time-consuming. In this paper, we present a fully convolutional feature mimic framework to train very efficient CNN based detectors, which do not need ImageNet pre-training and achieve competitive performance as the large and slow models. We add supervision from high-level features of the large networks in training to help the small network better learn object representation. More specifically, we conduct a mimic method for the features sampled from the entire feature map and use a transform layer to map features from the small network onto the same dimension of the large network. In training the small network, we optimize the similarity between features sampled from the same region on the feature maps of both networks. Extensive experiments are conducted on pedestrian and common object detection tasks using VGG, Inception and ResNet. On both Caltech and Pascal VOC, we show that the modified 2.5&#xd7; accelerated Inception network achieves competitive performance as the full Inception Network. Our faster model runs at 80 FPS for a 1000&#xd7;1500 large input with only a minor degradation of performance on Caltech.