Miracle-dz/UniFAR-FTUs huggingface dataset:
Expression of the cell-cycle-related proteins E2F-1, p53, mdm-2, p21waf-1, and Ki-67 in multiple myeloma: correlation with cyclin-D1 immunoreactivity.

Approximately 30% of multiple myelomas (MMs) express cyclin D1 when assessed using immunohistochemical techniques. Cyclin D1 expression correlates with greater tumor burden in MM, because cyclin D1-positive cases are more frequently associated with extensive bone marrow involvement, i.e., high pathologic stage, than are cyclin D1-negative cases. The mechanisms that explain this association are unknown. To explore other differences between cyclin D1-positive and cyclin D1-negative MMs, we assessed 59 MMs immunohistochemically for several G1 cell-cycle regulatory proteins, including cyclin D1, E2F-1, p53, mdm-2, and p21waf-1, using routinely fixed and processed, paraffin-embedded bone marrow specimens. Twenty MMs (34%) were cyclin D1 positive, and 39 (66%) were cyclin D1 negative. Eighteen (90%) of 20 cyclin D1-positive MMs were Stage III, in contrast to 19 (49%) of 39 cyclin D1-negative MMs (P = .003). Cyclin D1-positive MMs were more likely to express E2F-1 (16/20 vs. 4/39, P < .001), p53 (11/20 vs. 10/39, P = .041), and p21waf-1 (12/20 vs. 7/39, P = .003). There was no significant difference in mdm-2 expression between these groups. We also assessed proliferation rate using an antibody specific for the Ki-67 antigen. A relatively high percentage (> 20%) of Ki-67-positive cells was found in cyclin D1-positive MMs compared with cyclin D1-negative MMs (13/20 vs. 3/39, P < 0.001). These results suggest that cyclin D1-positive MMs are more likely to possess additional derangements involving other G1 cell-cycle regulatory proteins. We speculate that these abnormalities might result in increased proliferation, thereby explaining the correlation between cyclin D1 expression and greater tumor burden.
Comparative evaluation of free gingival graft and AlloDerm® in enhancing the width of attached gingival: A clinical study

Background: The presence of an adequate width of keratinized tissue is important to maintain a healthy dentogingival junction. In case of inadequate width of attached gingiva, the gingival augmentation procedure has been performed classically using the patient's own masticatory mucosa and more recently, using an acellular dermal allograft as the donor material. Aims: The aim of the clinical study was to evaluate and compare the effectiveness of free gingival graft (FGG) and acellular dermal matrix (ADM) allograft in the ability to increase the zone of attached gingiva. Materials and Methods: Fifteen patients with 30 sites showing the inadequate width of attached gingiva (≤1 mm) were enrolled for the split-mouth study. The width of keratinized gingiva and other clinical parameters were recorded at baseline and 12th month postoperatively. Statistical Analysis: The difference in clinical parameters within the group was assessed by Wilcoxon signed rank test. However, Mann–Whitney U-test was used to analyze the differences between test and control groups. Results: The width of attached gingiva increased significantly (P < 0.01) following both the treatments but comparatively lesser gain with ADM allograft (2.13 mm vs. 4.8 mm). ADM site had significantly more shrinkage (76.6%) than FGG site (49.7%). Though FGG was found to be more effective, clinicians can prefer ADM allograft because of its certain advantages over the FGG. Conclusion: ADM allograft has resulted in sufficient increase in width of attached gingiva although lesser than FGG. Considering the disadvantages of FGG, it can be concluded that ADM allograft can be used as an alternative to FGG in increasing width of attached gingival in certain clinical situations.
Case‐mix adjustment for evaluation of mortality in cystic fibrosis *

Comparison of patient mortality rates in cystic fibrosis (CF) obtained from different institutions requires the use of case‐mix adjustment methods to account for baseline differences in patient and disease characteristics. There is no current professional consensus on the use of case‐mix adjustment methods for use in comparing mortality rates in CF. Characteristics used for this case‐mix adjustment should include those that are different across institutions and are associated with patient survival. They should not include characteristics of disease severity that may be a consequence of effectiveness of treatment. The goal of these analyses was to identify a set of these characteristics of patients or disease that would be useful for case‐mix adjustment of CF mortality rates. Data from the Cystic Fibrosis Foundation Patient Registry and from the United States Census of the Population (1990) were used in these analyses. Kaplan‐Meier techniques, the log‐rank test, and Cox proportional hazards regression were used to estimate survivorship, calculate hazard ratios (HR), 95% confidence intervals (CI95%), and to conduct tests of statistical significance.
On the Borders of Harmful and Helpful Beauty Biases

Research with European Caucasian samples demonstrates that attractiveness-based biases in social evaluation depend on the constellation of the sex of the evaluator and the sex of the target: Whereas people generally show positive biases toward attractive opposite-sex persons, they show less positive or even negative biases toward attractive same-sex persons. By examining these biases both within and between different ethnicities, the current studies provide new evidence for both the generalizability and the specificity of these attractiveness-based social perception biases. Examining within-ethnicity effects, Study 1 is the first to demonstrate that samples from diverse ethnic backgrounds parallel the finding of European Caucasian samples: The advantageous or adverse effects of attractiveness depend on the gender constellation of the evaluator and the evaluated person. Examining between-ethnicity effects, Study 2 found that these attractiveness-based biases emerge almost exclusively toward targets of the evaluator’s own ethnic background; these biases were reduced or eliminated for cross-ethnicity evaluations and interaction intentions. We discuss these findings in light of evolutionary principles and reflect on potential interactions between culture and evolved cognitive mechanisms.
Early Onset Childhood Cicatricial Pemphigoid: A Case Report and Review of the Literature

Abstract: Cicatricial pemphigoid is an extremely rare condition in children, since only 17 cases have been reported in the English literature, so far. We describe a new case in a 20‐month‐old boy, who is to our knowledge the youngest patient reported yet. The disorder had begun 10 months before he was referred to our department by mucosal crusted erosions of the oral and nasal cavities and conjunctivae. Cutaneous examination showed buccal erosions with limited mouth opening, entropion of the lower eyelids, trichiasis, cicatricial cornea, synechia of the nasal cavities and hypopigmented lesions of the abdomen. There were no anal or genital lesions. Cicatricial pemphigoid was confirmed by positive direct and indirect immunofluorescence on mucous biopsy. Systemic corticosteroids (2 mg/kg/day), maintained for 12 months, had led to complete healing of lesions. But due to cicatrization, synechia of the nasal cavities and corneal opacities, leading to a dramatic visual loss, have occurred. Dapsone 25 mg/day and topical ocular cyclosporine are now maintained to avoid relapse. Our review of the literature of all cases of CP showed that ocular and to a less degree, vulvar lesions are the most severe ones, due to the serious complications with scar formation.
Alcohol recidivism impairs long‐term patient survival after orthotopic liver transplantation for alcoholic liver disease

The aim of this study was to evaluate the rate of alcohol recidivism after orthotopic liver transplantation (OLT) for alcoholic liver disease (ALD) and its influence on the allograft and patient survival, as well as the development of comorbidities and de novo cancers. The study was performed on 54 subjects previously analyzed and transplanted in our center for ALD, whose follow‐up was prolonged to a mean of 99.2 (SD 31.7) months (range, 14–155). Medical records were reviewed, and data on alcohol consumption, therapeutic compliance, graft evolution, rejection, infections, comorbidities, rates of de novo malignancies and other clinical events, and survival were collected. Comparisons between groups were performed by the Fisher's exact test, and survival was assessed by the Kaplan‐Meier method. Survival curves were compared using the Mantel‐Cox statistic. The risk of death resulting from alcohol recidivism was analyzed with a Cox proportional hazards model. Fourteen patients who underwent transplantation for ALD (25.9%) returned to alcohol use between 5.0 and 86.9 months after OLT (median, 47.5). There was no significant association between the presence or absence of alcohol recidivism and the occurrence of graft rejection, infections, associated comorbidities after OLT, or compliance. The 5‐ and 10‐year survival rates for patients with alcohol recidivism were 92.9% and 45.1%, respectively, compared with 92.4% and 85.5%, respectively, for patients without alcohol recidivism. These figures show significantly lower survival rates in recidivistic patients after 10 years (P < 0.01, Mantel‐Cox). The fact that patients who resumed alcohol consumption have a worse 10‐year survival rate might be attributed to a higher frequency of deaths, primarily from cancer and cardiovascular events. (Liver Transpl 2005;11:420–426.)
Costly Information Processing: Evidence from Earnings Announcements

I examine the role of information processing costs on post earnings announcement drift. I distinguish between hard information - quantitative information that is more easily processed - and soft information which has higher processing costs. I find that qualitative earnings information has additional predictability for asset prices beyond the predictability in quantitative information. I also find that qualitative information has greater predictability for returns at longer horizons, suggesting that frictions in information processing generate price drift. Using a tool from natural language processing called typed dependency parsing, I demonstrate that qualitative information relating to positive fundamentals and future performance is the most difficult information to process.
Functional Phosphorylation Sites in the C-Terminal Region of the Multivalent Multifunctional Transcriptional Factor CTCF

ABSTRACT CTCF is a widely expressed and highly conserved multi-Zn-finger (ZF) nuclear factor. Binding to various CTCF target sites (CTSs) is mediated by combinatorial contributions of different ZFs. Different CTSs mediate distinct CTCF functions in transcriptional regulation, including promoter repression or activation and hormone-responsive gene silencing. In addition, the necessary and sufficient core sequences of diverse enhancer-blocking (insulator) elements, including CpG methylation-sensitive ones, have recently been pinpointed to CTSs. To determine whether a posttranslational modification may modulate CTCF functions, we studied CTCF phosphorylation. We demonstrated that most of the modifications that occur at the carboxy terminus in vivo can be reproduced in vitro with casein kinase II (CKII). Major modification sites map to four serines within the S604KKEDS609S610DS612E motif that is highly conserved in vertebrates. Specific mutations of these serines abrogate phosphorylation of CTCF in vivo and CKII-induced phosphorylation in vitro. In addition, we showed that completely preventing phosphorylation by substituting all serines within this site resulted in markedly enhanced repression of the CTS-bearing vertebrate c-myc promoters, but did not alter CTCF nuclear localization or in vitro DNA-binding characteristics assayed with c-myc CTSs. Moreover, these substitutions manifested a profound effect on negative cell growth regulation by wild-type CTCF. CKII may thus be responsible for attenuation of CTCF activity, either acting on its own or by providing the signal for phosphorylation by other kinases and for CTCF-interacting protein partners.
Two solar proton fluence models based on ground level enhancement observations

Solar energetic particles (SEPs) constitute an important component of the radiation environment in interplanetary space. Accurate modeling of SEP events is crucial for the mitigation of radiation hazards in spacecraft design. In this study we present two new statistical models of high energy solar proton fluences based on ground level enhancement (GLE) observations during solar cycles 19–24. As the basis of our modeling, we utilize a four parameter double power law function (known as the Band function) fits to integral GLE fluence spectra in rigidity. In the first model, the integral and differential fluences for protons with energies between 10 MeV and 1 GeV are calculated using the fits, and the distributions of the fluences at certain energies are modeled with an exponentially cut-off power law function. In the second model, we use a more advanced methodology: by investigating the distributions and relationships of the spectral fit parameters we find that they can be modeled as two independent and two dependent variables. Therefore, instead of modeling the fluences separately at different energies, we can model the shape of the fluence spectrum. We present examples of modeling results and show that the two methodologies agree well except for a short mission duration (1 year) at low confidence level. We also show that there is a reasonable agreement between our models and three well-known solar proton models (JPL, ESP and SEPEM), despite the differences in both the modeling methodologies and the data used to construct the models.
Precise, flexible and affordable gene stacking for crop improvement

ABSTRACT The genetic engineering of plants offers a revolutionary advance for crop improvement, and the incorporation of transgenes into crop species can impart new traits that would otherwise be difficult to obtain through conventional breeding. Transgenes introduced into plants, however, can only be useful when bred out to field cultivars. As new traits are continually added to further improve transgenic cultivars, clustering new DNA near previously introduced transgenes keep from inflating the number of segregating units that breeders must assemble back into a breeding line. Here we discuss various options to introduce DNA site-specifically into an existing transgenic locus. As food security is becoming a pressing global issue, the old proverb resonates true to this day: “give a man a fish and you feed him for a day; teach a man to fish and you feed him for a lifetime. ” Hence, we describe a recombinase-mediate gene stacking system designed with freedom to operate, providing an affordable option for crop improvement by less developed countries where food security is most at risk.
Proximal Martin–Gruber anastomosis mimicking ulnar neuropathy at the elbow

We present a case of Martin–Gruber anastomosis (MGA) mimicking conduction block between the above‐ and below‐elbow sites of ulnar nerve stimulation. We review the anatomical and electrophysiological literature on this subject and discuss its clinical implications. The potential for a MGA to occur very proximally in the forearm and thus mimic ulnar neuropathy at the elbow is underrecognized. We recommend that a check for MGA be performed on all patients with an apparent conduction block at the elbow, and suggest that 3 cm distal to the medial epicondyle may be an optimal below‐elbow ulnar nerve stimulation site. © 1999 John Wiley & Sons, Inc. Muscle Nerve 22: 1132–1135, 1999
Social networks and medium of exchange

We analyze the impact of different trading network topologies on the emergence of money as a medium of exchange. This work represents an extension of the Kiyotaki & Wright’s model [24] in which traders must have a relationship, or ”link”, to engage in exchange. We explore a simple economy using an agent-based simulation where traders are matched in pairs and the exchange can only be bilateral and quid pro quo. Agents update their trading strategies using an evolutionary approach. Properties of the trading network topology can drive the system towards monetary equilibria with either one or multiple currencies. In particular, we discover a significant and positive correlation between the shortest path, the diameter of the trading network and the number of currencies in the system. If the network is highly connected, a single good emerges as the medium of exchange. As connectivity decreases, more than one medium of exchange can exist simultaneously. When agents are allowed to reconfigure their links to other traders without additional costs, the networks tend toward specific characteristic configurations, regardless of the initial topology, where the majority of agents have only a few linkages to others nd the rest are quite connected. These latter traders own the same characteristics of the Middlemen agents reported in Rubinstein & Wolinsky [40] and Gilles et. al. [13]: high exchange rate, number of links and goods in their inventory. They also have the power to break up communication among other players in the network.
Structure of human neutral endopeptidase (Neprilysin) complexed with phosphoramidon.

Neutral endopeptidase is a mammalian type II integral membrane zinc-containing endopeptidase, which degrades and inactivates a number of bioactive peptides. The range of substrates cleaved by neutral endopeptidase in vitro includes the enkephalins, substance P, endothelin, bradykinin and atrial natriuretic factor. Due to the physiological importance of neutral endopeptidase in the modulation of nociceptive and pressor responses there is considerable interest in inhibitors of this enzyme as novel analgesics and anti-hypertensive agents. Here we describe the crystal structure of the extracellular domain (residues 52-749) of human NEP complexed with the generic metalloproteinase inhibitor phosphoramidon at 2.1 A resolution. The structure reveals two multiply connected folding domains which embrace a large central cavity containing the active site. The inhibitor is bound to one side of this cavity and its binding mode provides a detailed understanding of the ligand-binding and specificity determinants.
Age-Related Difference in Relationships Between Cognitive Processing Speed and General Cognitive Status

General cognitive status (GCS) is a composite of cognitive abilities reflecting full function. The literature suggests a relationship between cognitive processing speed and GCS, as well as age-related changes of processing speed on cognitive performance. Therefore, this study recruited 34 younger and 39 older adults to verify age-related differences in relationships between cognitive processing speed and GCS. We measured cognitive processing speed with the Processing Speed Index of the Wechsler Adult Intelligence Scale. Findings indicated that cognitive processing speed predicted GCS in older but not younger adults. Future research may be needed to verify the training effect of processing speed on GCS. This study also further examined cognitive factors related to processing speed in aging and the relationships between cognitive processing speed and verbal fluency, cognitive inhibition, and divided attention. A stepwise regression analysis indicated that only verbal fluency contributed significantly to cognitive processing speed in older adults, accounting for 21% of the variance. These observations suggest that age-related changes of prefrontal regions may not fully explain age-related decline in cognitive processing speed.
Antibody analysis of relationships among methanogenic bacteria

A bank of antisera to the majority of methanogenic bacteria is now available. Three antibody probes, R, S, and T, were derived from each antiserum in the bank and used for analysis of antigenic relatedness among methanogens by immunofluorescence. The T probe reacted only with the immunizing (or homologous) strain, the S probe gave strong cross-reactions with strains of the same species, and the R probe revealed some interspecies relationships. The results were confirmed and extended by enzyme immunoassays and standard serological methods involving serial dilution analysis, cross-adsorptions, and the use of reference strains. The immunological methods and standardized antibody probes are useful for rapid identification of methanogens and measurements of antigenic relationships which aid in the classification of these bacteria.
Genomic Analysis of Carbon Source Metabolism of Shewanella oneidensis MR-1: Predictions versus Experiments

ABSTRACT Genomic sequences have been used to find the genetic foundation for carbon source metabolism in Shewanella oneidensis MR-1. Annotated S. oneidensis MR-1 gene products were examined for their sequence similarity to enzymes participating in pathways for utilization of carbon and energy as described in the BioCyc database (http://www.biocyc.org/ ) or in the primary literature. A picture emerges that relegates five- and six-carbon sugars to minor roles as carbon sources, whereas multiple pathways for utilization of up to three-carbon carbohydrates seem to be present. Capacity to utilize amino acids for carbon and energy is also present. A few contradictions emerged in which enzymes appear to be present by annotations but are not active in the cell according to physiological experiments. Annotations are based on close sequence similarity and will not reveal inactivity due to deleterious mutations or due to lack of coordination of regulation and transport. Genes for a few enzymes known by experiment to be active are not found in the genome. This may be due to extensive divergence after duplication or convergence of function in separate lines in evolution rendering activities undetectable by sequence similarity. To minimize false predictions from protein sequences, we have been conservative in predicting pathways. We did not predict any pathway when, although a partial pathway was seen it was composed largely of enzymes already accounted for in any other complete pathway. This is an example of how a biochemically oriented sequence analysis can generate questions and direct further experimental investigation.
A Comparison of Machine Learning Algorithms for Emotional Intelligence Measure

Emotional Intelligence (EI) refers to a person's ability to recognize, express, understand, manage, and use his or her own and others' emotions. EI is currently regarded as a distinct course of action, capable of excelling in a variety of disciplines. It is now used to make fascinating and significant forecasts about a person's life outcomes. Automated emotional information processing has become a trend in recent research approaches, with Machine Learning (ML) development. ML can assist EI in light of the success it has experienced in several other fields. ML and the deep learning approach can be used for the prediction of certain human cognition aspects like intelligence, working memory, attention, or focus. This study is based on a comparison of different Machine Learning Algorithms (MLA) for regression analysis of PEC (Profile of Emotional Competence) data. The regression algorithms SVM (Support Vector Machine – Regression), k-NN (k-Nearest Neighbor), and Ridge Regression are applied to the dataset. These MLAs were implemented in Python, trained using 70% of the PEC dataset and tested with 30% data. A comparative analysis evaluates the performance of MLAs using error metrics like ME, RMSE, MAE, EVS, coefficient of determinant and model accuracy, on the PEC measure of EI. The result identified the performance of SVM and k-NN in different EI domains and Ridge Regression as the best performing method on the given PEC data. This work contributes to a better understanding of the ML approach to the PEC EI measure and opens up the possibility of using the same approach for other EI measures.