Miracle-dz/UniFAR-FTUs huggingface dataset:
Earthquake Monitoring in Southern California for Seventy-Seven Years (1932-2008)

The Southern California Seismic Network (SCSN) has produced the SCSN earthquake catalog from 1932 to the present, a period of more than 77 yrs. This catalog consists of phase picks, hypocenters, and magnitudes. We present the history of the SCSN and the evolution of the catalog, to facilitate user understanding of its limitations and strengths. Hypocenters and magnitudes have improved in quality with time, as the number of stations has increased gradually from 7 to ~400 and the data acquisition and measuring procedures have become more sophisticated. The magnitude of completeness (M_c) of the network has improved from M_c ~3.25 in the early years to M_c ~1.8 at present, or better in the most densely instrumented areas. Mainshock–aftershock and swarm sequences and scattered individual background earthquakes characterize the seismicity of more than 470,000 events. The earthquake frequency-size distribution has an average b-value of ~1.0, with M≥6.0 events occurring approximately every 3 yrs. The three largest earthquakes recorded were 1952 M_w 7.5 Kern County, 1992 M_w 7.3 Landers, and 1999 M_w 7.1 Hector Mine sequences, and the three most damaging earthquakes were the 1933 M_w 6.4 Long Beach, 1971 M_w 6.7 San Fernando, and 1994 M_w 6.7 Northridge earthquakes. All of these events ruptured slow-slipping faults, located away from the main plate boundary fault, the San Andreas fault. Their aftershock sequences constitute about a third of the events in the catalog. The fast slipping southern San Andreas fault is relatively quiet at the microseismic level and has not had an M>6 earthquake since 1932. In contrast, the slower San Jacinto fault has the highest level of seismicity, including several M>6 events. Thus, the spatial and temporal seismicity patterns exhibit a complex relationship with the plate tectonic crustal deformation.
Platelet function profiles in the elderly: Results of a pharmacodynamic study in patients on clopidogrel therapy and effects of switching to prasugrel 5 mg in patients with high platelet reactivity

Summary Studies specifically designed to assess clopidogrel response in the elderly as well as treatment alternatives to improve platelet inhibition in this highrisk population are lacking. This study aimed to define phar-macodynamic (PD) profiles, including high platelet reactivity (HPR) rates, among elderly patients on maintenance clopidogrel therapy and to assess the PD effects of prasugrel 5 mg/day in elderly with HPR. This was a prospective observational PD study enrolling consecutive ≥75-year-old patients on maintenance clopidogrel therapy (75 mg/day) who were tested for clopidogrel response by the VerifyNow P2Y12 assay and light transmittance aggregometry (LTA). HPR rates were estimated using multiple definitions. HPR patients identified by the VerifyNow P2Y12 assay [P2Y12 reaction unit (PRU) ≥230] were switched to prasugrel 5 mg/day, and platelet function testing was performed after 15 days of treatment. PD testing was completed in 100 patients. The HPR prevalence varied between 25% and 32%, depending on the definition used. A PRU ≥230 was observed in 25 patients; of these, 20 switched to prasugrel 5 mg/day. This resulted in significant reduction in PRU mean values (279.8 ± 45.1 vs. 171.7 ± 65.2, p=0.0002) with an absolute between-treatment difference of 108.1 (95% confidence intervals 75.2–140.9). Accordingly, switching to prasugrel 5 mg/day overcame HPR in most (80%) patients. Consistently, all LTA measures were significantly lower after prasugrel compared with clopidogrel. In conclusion, a considerable proportion of elderly patients exhibit HPR while on standard clopidogrel therapy. Switching to 5 mg/day prasugrel in elderly patients with HPR is associated with enhanced platelet inhibition and overcomes HPR in the majority of these patients.
Ready or not? Pharmacist perceptions of a changing injection scope of practice before it happens

Background: Since 2012, Ontario pharmacists have been authorized to administer the influenza vaccine. In April 2016, the Ontario College of Pharmacists (OCP) proposed to expand the Pharmacy Act to allow pharmacists to vaccinate against 13 additional conditions. The OCP held an online public consultation and invited pharmacists, members of the public and organizations to weigh in on the proposed changes. Our objective was to explore the factors influencing how Ontario pharmacists may adopt or reject an expanding scope of practice, using data from the public consultation. Methods: We coded the responses to the public consultation in 2 ways: 1) sentiment analysis and 2) an integrative approach to coding using Rogers’s diffusion of innovations theory across 5 domains: relative advantage, compatibility, complexity, trialability and observability. Results: Responses from pharmacists, the public and organizations were moderately positive on average. Pharmacists most commonly mentioned relative advantages, including benefits for patients, pharmacists, physicians and the health system. Positive responses focused on accessibility for patients, improved vaccine coverage, lower health care spending and freed physician time but cited lack of prescribing privileges as a barrier to the proposed changes. Negative responses focused on increased workload, patient safety concerns and the complexity of travel medicine. Conclusions: The expanded immunization services are likely to be well received by most pharmacists. Convenience and accessibility for patients were commonly cited benefits, but the changes will be only a slight improvement over the current system unless pharmacists can prescribe these vaccines. Although employers responded positively, the question remains whether they will support pharmacists in a way that aligns with pharmacists’ values and expectations. Decision makers must pay close attention to the pharmacy infrastructure and how this will affect uptake of these services. Recognition of this, combined with pharmacists’ positive perceptions of the expanded scope, will facilitate smooth integration of this legislation into Ontario pharmacy practice.
Summarizing Relational Databases

Complex databases are challenging to explore and query by users unfamiliar with their schemas. Enterprise databases often have hundreds of inter-linked tables, so even when extensive documentation is available, new users must spend a considerable amount of time understanding the schema before they can retrieve any information from the database. The problem is aggravated if the documentation is missing or outdated, which may happen with legacy databases. In this paper we identify limitations of previous approaches to address this vexing problem, and propose a principled approach to summarizing the contents of a relational database, so that a user can determine at a glance the type of information it contains, and the main tables in which that information resides. Our approach has three components: First, we define the importance of each table in the database as its stable state value in a random walk over the schema graph, where the transition probabilities depend on the entropies of table attributes. This ensures that the importance of a table depends both on its information content, and on how that content relates to the content of other tables in the database. Second, we define a metric space over the tables in a database, such that the distance function is consistent with an intuitive notion of table similarity. Finally, we use a Weighted k-Center algorithm under this distance function to cluster all tables in the database around the most relevant tables, and return the result as our summary. We conduct an extensive experimental study on a benchmark database, comparing our approach with previous methods, as well as with several hybrid models. We show that our approach not only achieves significantly higher accuracy than the previous state of the art, but is also faster and scales linearly with the size of the schema graph.
Control of mitotic and meiotic centriole duplication by the Plk4-related kinase ZYG-1

Centriole duplication is of crucial importance during both mitotic and male meiotic divisions, but it is currently not known whether this process is regulated differently during the two modes of division. In Caenorhabditis elegans, the kinase ZYG-1 plays an essential role in both mitotic and meiotic centriole duplication. We have found that the C-terminus of ZYG-1 is necessary and sufficient for targeting to centrosomes and is important for differentiating mitotic and meiotic centriole duplication. Small truncations of the C-terminus dramatically lower the level of ZYG-1 at mitotic centrosomes but have little effect on the level of ZYG-1 at meiotic centrosomes. Interestingly, truncation of ZYG-1 blocks centrosome duplication in the mitotic cycle but leads to centrosome amplification in the meiotic cycle. Meiotic centriole amplification appears to result from the overduplication of centrioles during meiosis I and leads to the formation of multipolar meiosis II spindles. The extra centrioles also disrupt spermatogenesis by inducing the formation of supernumerary fertilization-competent spermatids that contain abnormal numbers of chromosomes and centrioles. Our data reveal differences in the regulation of mitotic and meiotic centrosome duplication, particularly with regard to ZYG-1 activity, and reveal an important role for centrosomes in spermatid formation.
Relationships between Test Suites, Faults, and Fault Detection in GUI Testing

Software-testing researchers have long sought recipes for test suites that detect faults well. In the literature, empirical studies of testing techniques abound, yet the ideal technique for detecting the desired kinds of faults in a given situation often remains unclear. This work shows how understanding the context in which testing occurs, in terms of factors likely to influence fault detection, can make evaluations of testing techniques more readily applicable to new situations. We present a methodology for discovering which factors do statistically affect fault detection, and we perform an experiment with a set of test-suite- and fault-related factors in the GUI testing of two fielded, open-source applications. Statement coverage and GUI-event coverage are found to be statistically related to the likelihood of detecting certain kinds of faults.
Enhanced Lung Tumor Development in Tobacco Smoke-Exposed p53 Transgenic and Kras2 Heterozygous Deficient Mice

A/J mice bearing either a mutation in the p53 gene or a Kras2 heterozygous deficiency were investigated for their susceptibility to tobacco smoke-induced lung tumorigenesis. Transgenic mice and their wild-type littermates were exposed to mainstream tobacco smoke (MS) for 5 mo, followed by 4 mo of recovery in filtered air. In sham (filtered air) groups, p53 transgenic mice did not exhibit a higher tumor multiplicity but did exhibit larger tumors, with tumor load increased 3.6-fold, when compared with wild-type mice. With exposure to MS, tumor multiplicity was increased 60% but there was a strikingly increased tumor load (15.9-fold) in p53 transgenic mice. Increased tumor load (5.3-fold) but not tumor multiplicity was seen in MS-exposed Kras2 heterozygous deficient mice. Interestingly, MS exposure did not increase benzo[a]pyrene-induced lung tumorigenesis when MS exposure was initiated after BaP treatment. These results indicate that a p53 mutation or loss of a Kras2 allele increases susceptibility to MS-induced lung tumor development.
Kinetic assay shows that increasing red cell volume could be a treatment for sickle cell disease

Significance Sickle cell disease can be treated by preventing polymerization of the mutant hemoglobin to form fibers during the time that red cells are transiting the smallest vessels of the tissues. However, most drugs in clinical trials are aimed at reducing the sequelae of fiber formation, such as inflammation and adhesion to the vascular endothelium. Searching for drugs that increase the delay before polymerization, which allows more cells to escape the small vessels before fibers form, has been hampered by the lack of a quantitative and sensitive assay, which we describe in this work. With this assay, we show that increasing the delay time by increasing red cell volume to reduce the intracellular hemoglobin concentration is a viable approach to therapy. Although it has been known for more than 60 years that the cause of sickle cell disease is polymerization of a hemoglobin mutant, hydroxyurea is the only drug approved for treatment by the US Food and Drug Administration. This drug, however, is only partially successful, and the discovery of additional drugs that inhibit fiber formation has been hampered by the lack of a sensitive and quantitative cellular assay. Here, we describe such a method in a 96-well plate format that is based on laser-induced polymerization in sickle trait cells and robust, automated image analysis to detect the precise time at which fibers distort (“sickle”) the cells. With this kinetic method, we show that small increases in cell volume to reduce the hemoglobin concentration can result in therapeutic increases in the delay time prior to fiber formation. We also show that, of the two drugs (AES103 and GBT440) in clinical trials that inhibit polymerization by increasing oxygen affinity, one of them (GBT440) also inhibits sickling in the absence of oxygen by two additional mechanisms.
The efficacy of some medicinal plants used locally within Transmara west, Narok County, Kenya against selected Enterobacteria and Candida

The bacterial family Enterobacteriaceae and fungal genus Candida have continued to be a great challenge worldwide including resistance to antibiotics and relapse of infections mediated by them. Among these organisms, Salmonella typhi, Shigella species, Klebsiella pneumoniae and Escherichia coli strains have emerged as the most frequent cause of diarrheal illnesses which account for an annual mortality rate of 4.6 million people worldwide and many other infections. Candida albicans has been reported as a causative agent of all types of candidiasis. In the present study, the efficacy of plants commonly used plants in Transmara west, Kenya against these microbes was investigated. An ethnobotanical survey using semi-structured questionnaire was done. Plant extracts were obtained through methanolic extraction. Antimicrobial susceptibility assay was done using Kirby Bauer disk diffusion technique. Minimum inhibitory Concentration (MIC), Minimum Bactericidal Concentration (MBC) for the bacterial test stains and Minimum Fungicidal Concentration (MFC) for C. albicans were determined using microtitre broth dilution method. Phytochemical tests were done using standard procedures. The study validates the ethno-medicinal use of Pterolobium stellatum, Rhamnus prinoides, Phyllanthus urinaria, Carissa edulis, Clutia abyssinica, Clerodendrum rotundifolium, Clerodendron myricoides and Dovyalis abyssinica and recommends consideration for the use of the studied plants as possible sources of antimicrobial agents in the development of drugs for treatment of Enterobacteria and Candida related infections.
“Being in a Funk”: Teens’ Efforts to Understand Their Depressive Experiences

Although there is literature about adults’ experiences of depression, little research has focused on teenagers’ experiences. In this article, the authors describe how a sample of adolescents makes sense of depression and responds to a depression diagnosis. Twenty-two adolescents participated in in-depth individual or focus group interviews. Teens discussed their experiences with depression and getting health care for depression, and described a trajectory similar to that found among adults: a slow growth of distress, a time of being in a funk, and a time of consideration of whether they are depressed. Teens who received a diagnosis from a medical provider then sought to make sense of their depression. Teens understood a depression diagnosis as a helpful label, a chronic medical problem, or a significant part of their identity. Understanding the subjective experience of adolescents who are depressed might increase health care providers’empathy and improve their communication with teens.
Evolving neural networks that are both modular and regular: HyperNEAT plus the connection cost technique

One of humanity's grand scientific challenges is to create artificially intelligent robots that rival natural animals in intelligence and agility. A key enabler of such animal complexity is the fact that animal brains are structurally organized in that they exhibit modularity and regularity, amongst other attributes. Modularity is the localization of function within an encapsulated unit. Regularity refers to the compressibility of the information describing a structure, and typically involves symmetries and repetition. These properties improve evolvability, but they rarely emerge in evolutionary algorithms without specific techniques to encourage them. It has been shown that (1) modularity can be evolved in neural networks by adding a cost for neural connections and, separately, (2) that the HyperNEAT algorithm produces neural networks with complex, functional regularities. In this paper we show that adding the connection cost technique to HyperNEAT produces neural networks that are significantly more modular, regular, and higher performing than HyperNEAT without a connection cost, even when compared to a variant of HyperNEAT that was specifically designed to encourage modularity. Our results represent a stepping stone towards the goal of producing artificial neural networks that share key organizational properties with the brains of natural animals.
Science, Medicine, and Intercessory Prayer

Among the many recent attempts to demonstrate the medical benefits of religious activity, the methodologically strongest seem to be studies of the effects of distant intercessory prayer (IP). In these studies, patients are randomly assigned to receive standard care or standard care plus the prayers or "healing intentions" of distant intercessors. Most of the scientific community has dismissed such research, but cavalier rejection of studies of IP is unwise, because IP studies appear to conform to the standards of randomized controlled trials (RCTs) and, as such, would have a significant advantage over observational investigations of associations between religious variables and health outcomes. As we demonstrate, however, studies of IP fail to meet the standards of RCTs in several critical respects. They fail to adequately measure and control exposure to prayer from others, which is likely to exceed IP and to vary widely from subject to subject, and whose magnitude is unknown. This supplemental prayer so greatly attenuates the differences between the treatment and control groups that sample sizes are too large to justify studies of IP. Further, IP studies generally do not specify the outcome variables, raising problems of multiple comparisons and Type 1 errors. Finally, these studies claim findings incompatible with current views of the physical universe and consciousness. Unless these problems are solved, studies of IP should not be conducted.
Liquid Chromatography Mass Spectrometry-Based Metabolite Pathway Analyses of Myeloma and Non-Hodgkin’s Lymphoma Patients

Objective This study attempted to identify altered metabolism and pathways related to non-Hodgkin’s lymphoma (NHL) and myeloma patients. Materials and Methods In this retrospective study, we collected plasma samples from 11 patients-6 healthy controls with no evidence of any blood cancers and 5 patients with either multiple myeloma (n=3) or NHL (n=2) during the preliminary study period. Samples were analyzed using quadrupole time-of-flight liquid chromatography mass spectrometry (LC-MS). Significant features generated after statistical analyses were used for metabolomics and pathway analysis. Results Data after false discovery rate (FDR) adjustment at q=0.05 of features showed 136 for positive and 350 significant features for negative ionization mode in NHL patients as well as 262 for positive and 98 features for negative ionization mode in myeloma patients. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis determined that pathways such as steroid hormone biosynthesis, ABC transporters, and arginine and proline metabolism were affected in NHL patients. In myeloma patients, pyrimidine metabolism, carbon metabolism, and bile secretion pathways were potentially affected by the disease. Conclusion The results have shown tremendous differences in the metabolites of healthy individuals compared to myeloma and lymphoma patients. Validation through quantitative metabolomics is encouraged, especially for the metabolites with significantly expression in blood cancer patients.
Secondary PDZ domain-binding site on class B plexins enhances the affinity for PDZ–RhoGEF

Significance Protein interactions mediated by modular domains, such as PDZ and SH2 domains, play critical roles in biology. The modules typically recognize a linear motif in their ligands, with a few residues in the motif determining the specificity. We report a crystal structure of the complex between the cytoplasmic region of PlexinB2 and the PDZ domain of PDZ–RhoGEF. The structure shows that, in addition to the PDZ/motif interaction, a secondary interface is formed between the three-dimensional domains of the two proteins. We further show that the secondary interface enhances the affinity between plexin and PDZ–RhoGEF and is important for plexin signaling. Our analyses suggest that secondary interface-mediated interactions may be a broadly used mechanism for modular domains to achieve high specificity. PDZ domains are abundant protein interaction modules and typically recognize a short motif at the C terminus of their ligands, with a few residues in the motif endowing the binding specificity. The sequence-based rules, however, cannot fully account for the specificity between the vast number of PDZ domains and ligands in the cell. Plexins are transmembrane receptors that regulate processes such as axon guidance and angiogenesis. Two related guanine nucleotide exchange factors (GEFs), PDZ–RhoGEF and leukemia-associated RhoGEF (LARG), use their PDZ domains to bind class B plexins and play critical roles in signaling. Here, we present the crystal structure of the full-length cytoplasmic region of PlexinB2 in complex with the PDZ domain of PDZ–RhoGEF. The structure reveals that, in addition to the canonical C-terminal motif/PDZ interaction, the 3D domain of PlexinB2 forms a secondary interface with the PDZ domain. Our biophysical and cell-based assays show that the secondary interface contributes to the specific interaction between plexin and PDZ–RhoGEF and to signaling by plexin in the cell. Formation of secondary interfaces may be a general mechanism for increasing affinity and specificity of modular domain-mediated interactions.