Miracle-dz/UniFAR-FTUs huggingface dataset:
Edge triggered pulse latch design with delayed latching edge for radiation hardened application

We describe a novel edge triggered pulse latch design with delayed latching edge. Combined with dual interlocked cell (DICE) slave latch stage, the presented design is radiation hardened to both static single event upset (SEU) and dynamic single event transient (SET) on its internal sensitive nodes. Delayed latching edge design enables a new block level radiation hardening circuit design approach to trade timing resources in nontiming critical paths with the radiation hardness.
The Application of a Hybrid Genetic Algorithm in the Partners Selection of Virtual Enterprise

Selection of partners is one of the critical problems of Virtual Enterprise. In the paper, according to the deficiency in the existed quantitative methods, a partners-selection of optimization mathematic model is proposed, taking the advantages of simulated annealing algorithm and genetic algorithm, a hybrid genetic algorithm is used to slove the problem of partners selection in Virtual Enterprise. Finally, a typical simulation study is carried out to illustrate the algorithm's validity.
The proteome buccaneers: how to unearth your treasure chest via combinatorial peptide ligand libraries

The latest advances in combinatorial peptide ligand libraries, with their unique performance in discovering low-abundance species in proteomes, are reviewed here. Explanations of mechanism, potential applications, capture of proteomes at different pH values to enhance the total catch and quantitative elutions, such as boiling in the presence of 5% sodium dodecyl sulfate and 3% dithiothreitol are included. The reproducibility of protein capture among different experiments with the same batch of beads or with different batches is also reported to be very high, with coefficient of variations in the order of 10–20%. Miniaturized operations, consisting of capture with as little as 20 or even 5 µl of peptide beads are reported, thus demonstrating that the described technology could be exploited for routine biomarker discovery in a biomedical environment. Finally, it is shown that the signal of captured proteins is linear over approximately three orders of magnitude, ranging from nM to µM, thus ensuring that differential quantitative proteomics for biomarker discovery can be fully implemented, providing species do not saturate their ligands.
Interaction of normal and expanded CAG repeat sizes influences age at onset of Huntington disease

Huntington disease (HD) is a neurodegenerative disorder caused by the abnormal expansion of CAG repeats in the HD gene on chromosome 4p16.3. Past studies have shown that the size of expanded CAG repeat is inversely associated with age at onset (AO) of HD. It is not known whether the normal Huntington allele size influences the relation between the expanded repeat and AO of HD. Data collected from two independent cohorts were used to test the hypothesis that the unexpanded CAG repeat interacts with the expanded CAG repeat to influence AO of HD. In the New England Huntington Disease Center Without Walls (NEHD) cohort of 221 HD affected persons and in the HD‐MAPS cohort of 533 HD affected persons, we found evidence supporting an interaction between the expanded and unexpanded CAG repeat sizes which influences AO of HD (P = 0.08 and 0.07, respectively). The association was statistically significant when both cohorts were combined (P = 0.012). The estimated heritability of the AO residual was 0.56 after adjustment for normal and expanded repeats and their interaction. An analysis of tertiles of repeats sizes revealed that the effect of the normal allele is seen among persons with large HD repeat sizes (47–83). These findings suggest that an increase in the size of the normal repeat may mitigate the expression of the disease among HD affected persons with large expanded CAG repeats. © 2003 Wiley‐Liss, Inc.
Oviposition Preference and Survival of the Mexican Rice Borer (Lepidoptera: Crambidae) in Bioenergy and Conventional Sugarcane and Sorghum

Abstract Oviposition preference and host suitability of the Mexican rice borer, Eoreuma loftini (Dyar) (Lepidoptera: Crambidae), on bioenergy and conventional cultivars of sugarcane, Saccharum spp. , and sorghum, Sorghum spp. , were examined in a series of greenhouse experiments. Two energycane cultivars, two sugarcane cultivars, two high-biomass sorghum cultivars, and one sweet sorghum cultivar were assessed at two phenological stages (immature and mature). Mature plants possessed greater availability of dry leaf material compared with immature plants, and all E. loftini eggs were observed exclusively on dry leaves. Oviposition did not vary among host combinations (cultivar by phenological stage); however, eggs per plant and eggs per oviposition event were numerically greater on mature plants than immature plants. In a no-choice experiment, survival from egg to adult did not vary among host combinations, with <2.0% of E. loftini larvae surviving to adulthood. Failed establishment by neonates on plants was 13.4- to 53.9-fold greater than successful establishment across all host combinations. Results from this study suggest that plant physical characteristics continue to play an important role in host selection, but further evaluations will be needed to quantify other characteristics which influence host suitability.
Which way does the citric acid cycle turn during hypoxia? The critical role of α‐ketoglutarate dehydrogenase complex

The citric acid cycle forms a major metabolic hub and as such it is involved in many disease states involving energetic imbalance. In spite of the fact that it is being branded as a “cycle”, during hypoxia, when the electron transport chain does not oxidize reducing equivalents, segments of this metabolic pathway remain operational but exhibit opposing directionalities. This serves the purpose of harnessing high‐energy phosphates through matrix substrate‐level phosphorylation in the absence of oxidative phosphorylation. In this Mini‐Review, these segments are appraised, pointing to the critical importance of the α‐ketoglutarate dehydrogenase complex dictating their directionalities. © 2013 Wiley Periodicals, Inc.
The Significance of Measuring Plasma Leptin in Acute Myocardial Infarction

We measured leptin concentrations in patients with acute myocardial infarction (AMI, n = 21) and in 15 age-matched controls, and compared leptin concentrations with levels of other myocardial enzymes and indicators of AMI. Blood was sampled immediately after hospital admission and at 1 h, 2 h, 3 h, 6 h and 9 h, then every 12 h until 5 days post-admission. Patients were stratified into three groups according to peak leptin concentrations: hypoleptinaemia (< 3 ng/ml); normoleptinaemia (≥ 3 – < 15 ng/ml) and hyperleptinaemia (≥ 15 ng/ml). Hypoleptinaemic AMI patients had significantly increased concentrations of plasma lactate dehydrogenase compared with normoleptinaemic patients. No significant differences in other serum markers were noted between hyperleptinaemic and normoleptinaemic AMI patients. A significant negative correlation was found between the peak concentrations of leptin and interleukin 6. Leptin may play a role in the regulation of the development of cardiac damage in patients with AMI.
A flagellar sheath protein of Helicobacter pylori is identical to HpaA, a putative N-acetylneuraminyllactose-binding hemagglutinin, but is not an adhesin for AGS cells

The gene encoding a 29-kDa flagellar sheath protein was cloned and found to be similar to hpaA, reported to encode an N-acetylneuraminyllactose-binding fibrillar hemagglutinin (D. G. Evans, T. K. Karjalainen, D. J. Evans, Jr., D. Y. Graham, and C. H. Lee, J. Bacteriol. 175:674-683, 1993). The transcriptional start was mapped by primer extension from Helicobacter pylori mRNA, indicating an active consensus promoter at a location different from that suggested by Evans et al. Immunogold labelling of the flagellar sheath with a monoclonal antibody to HpaA was demonstrated in four strains, contrary to previous reports of a surface (D. G. Evans, T. K. Karjalainen, D. J. Evans, Jr., D. Y. Graham, and C. H. Lee, J. Bacteriol. 175:674-683, 1993) or a cytoplasmic (P. W. O'Toole, L. Janzon, P. Doig, J. Huang, M. Kostrzynska, and T. J. Trust, J. Bacteriol. 177:6049-6057, 1995) locale. Agglutination of erythrocytes and adherence to AGS cells by a delta hpaA mutant were no different from those of the parent strain, confirming a recent finding of O'Toole et al.
Obstetric complications and schizophrenia: historical and meta-analytic review.

OBJECTIVE This paper reviews the literature on obstetric complications as a risk factor for schizophrenia. The authors trace the evolution of this literature through different methods and carry out a quantitative review of the results from prospective, population-based studies. METHOD Relevant papers were identified by a MEDLINE search, by examination of reference lists of published papers, and through personal contact with researchers in the field. Studies were grouped in chronological order according to common themes or methods. Meta-analytic techniques were used to summarize the findings of prospective population-based studies. RESULTS The meta-analytic synthesis of the prospective population-based studies revealed that three groups of complications were significantly associated with schizophrenia: 1) complications of pregnancy (bleeding, diabetes, rhesus incompatibility, preeclampsia); 2) abnormal fetal growth and development: (low birthweight, congenital malformations, reduced head circumference), and 3) complications of delivery (uterine atony, asphyxia, emergency Cesarean section). Pooled estimates of effect sizes were generally less than 2. CONCLUSIONS Current methods of investigating the relationship between obstetric complications and schizophrenia are reaching the limit of their usefulness. Lack of statistical power to measure small and interactive effects and lack of detailed information about the prenatal period are major problems with current approaches. A combination of disciplines and approaches will be needed to elucidate the mechanisms underlying these small but important associations.
STAR Models: An Application for GDP Per Capita Growth Rate

The linearity assumption has been valid for a long time but most of the economic time series exhibit asymmetric behavior. The number of studies of nonlinear time series studies have increased in application by removing calculation difficulties. Markov regime switching models, TAR and STAR models are examples of nonlinear time series studies. GDP per capita is an important element of economical growth and has been the subject of many studies. This study covering the annual 1961-2017 data examined the nonlinear structure of GDP per capita growth rate for Turkey with STAR models. The serie is stationary according to the unit root test results and the delay length of the model has been found as two. Transition variables has been created by the delays of the dependent variable one by one and the linearity of the model has been tested against its nonlinearity alternative. The first delay has been selected as the transition variable. At the level of significance of 5%, the linearity hypothesis has been rejected. Findings of the study show that LSTAR model type is appropriate for growth. Since the appropriate model is LSTAR, transition variable has been standardized by its standard error. The parameter indicating the smoothness of transition shows that the transition from one regime to another is quick.
The Relationship between User Experience, Customer Satisfaction, Switching Cost and Customer Loyalty in Indonesia Cellular Operators

Industri telekomunikasi di Indonesia sangat kompetitif dalam beberapa tahun terakhir dengan jumlah langganan kartu SIM melebihi jumlah penduduk. Telkomsel, Indosat, XL Axiata dan Tri adalah penyedia layanan terbesar di Indonesia. Daya saing yang tinggi telah membuat XL Axiata mengalami pertumbuhan pelanggan yang negatif. Penelitian ini bertujuan untuk menguji hubungan antara Customer Loyalty, Customer Satisfaction, Switching Cost, dan User Experience. Enam prediktor User Experience pengguna telah dipilih untuk penelitian ini berdasarkan tinjauan literatur. Non probability sampling digunakan dalam penelitian ini dan selanjutnya teknik sampling insidental digunakan. Kuesioner dilakukan melalui 385 responden sebagai bagian dari populasi dengan menggunakan kuesioner format digital. Analisis Partial Least Square (PLS) digunakan untuk menjelaskan hasil kuesioner dengan menggunakan perangkat lunak SmartPLS. Dari hasil analisis data statistik, semua item yang diukur dalam penelitian ini valid dan reliabel. Pada analisis Partial Least Square, model yang digunakan dalam penelitian ini telah melewati analisis outer model dan analisis inner model. Lima dari enam predictor User Experience memiliki efek positif terhadap Customer Satisfaction, kecuali Emotional. Trust, Switching Cost, dan Customer Satisfaction berpengaruh positif terhadap Customer Loyalty. Keywords: User Experience, Customer Satisfaction, Service Providers, SEM-PLS
HIERARCHICAL ANALYSIS OF INBREEDING DEPRESSION IN PEROMYSCUS POLIONOTUS

The severity of inbreeding depression appears to vary among taxa, but few ecological or other patterns have been identified that predict accurately which taxa are most sensitive to inbreeding. To examine the causes of heterogeneity in inbreeding depression, the effects of inbreeding on reproduction, survival, and growth were measured in three replicate experimental stocks for each of three subspecies of Peromyscus polionotus mice. Inbreeding of the dam reduced the probability of breeding, the probability of producing a second litter, and litter size. Inbreeding of the litter caused depression of litter size, juvenile viability, and mass at weaning, and caused an increase in the within‐litter variance in mass. In spite of differences between the subspecies in natural population sizes, genetic variation, and mean rates of reproduction and survival, all variation observed between experimental populations in their responses to inbreeding could be attributed to random founder effects. The genetic load of deleterious alleles in each replicate was unequally partitioned among its founder pairs, and different founders contributed to the load affecting different fitness components. Thus, inbreeding depression for any one fitness component, in our experimental environment, must be due to relatively few deleterious alleles with major effects. Genetic loads so comprised would be expected to diverge among natural populations due to both random drift and selective removal of recessive deleterious alleles during population bottlenecks. The near universality of inbreeding depression would be maintained, however, if different alleles contribute to inbreeding depression of different fitness components and in different environments.
Stressors of Caregivers of School-Age Children With Epilepsy and Use of Community Resources

ABSTRACT Childhood epilepsy causes multiple stressors, difficulty in adjustment, and disruptions in family relations. This study sought to identify stressors of caregivers of school-age children and to assess whether use of community resources alleviates or contributes to caregiver stress. Stressors refer to concern about the child, communication with healthcare providers, changes in family relationships, interaction with school, and support within the community. A caregiver refers to the person who had looked after the child for the past 6-12 months. Support groups, religious or worship groups, counseling services, and traditional and spiritual faith healers were the community resources that were addressed. Face-to-face interviews were conducted on a convenience sample of 46 caregivers. A three-part structured interview schedule was used to describe demographic data, stressors of caregivers, and use of community resources. The top 6 stressors were the inability to get antiepileptic drugs, the deep pain or sadness caused by the child's seizures, caregiving (which was predominantly by mothers), limited help from the extended family, inadequate information on side effects of drugs, and inadequate information on seizures. The most commonly used community resource was religious or worship groups, with epilepsy support groups being least used. To alleviate caregiver stress, it is important that healthcare providers routinely assess the effect of seizures on caregivers and refer those requiring counseling, advocate for more male and extended family involvement in caregiving and provide adequate information on side effects of drugs and on seizures as standard practice. Nurses in developed countries should incorporate religious activities among complementary and alternative medicine interventions to reduce caregiver stress. Spiritual faith healers should be encouraged to refer clients with epilepsy for drug therapy and counseling.
Unsupervised Irony Detection: A Probabilistic Model with Word Embeddings

The automatic detection of figurative language, such as irony and sarcasm, is one of the most challenging tasks of Natural Language Processing (NLP). This is because machine learning methods can be easily misled by the presence of words that have a strong polarity but are used ironically, which means that the opposite polarity was intended. In this paper, we propose an unsupervised framework for domain-independent irony detection. In particular, to derive an unsupervised Topic-Irony Model (TIM), we built upon an existing probabilistic topic model initially introduced for sentiment analysis purposes. Moreover, in order to improve its generalization abilities, we took advantage of Word Embeddings to obtain domain-aware ironic orientation of words. This is the first work that addresses this task in unsupervised settings and the first study on the topic-irony distribution. Experimental results have shown that TIM is comparable, and sometimes even better with respect to supervised state of the art approaches for irony detection. Moreover, when integrating the probabilistic model with word embeddings (TIM+WE), promising results have been obtained in a more complex and real world scenario.
Modeling and nonlinear controller design of 1-D inverted magnetic needle in an nonuniform magnetic field

In this paper, we study the detailed modeling of the magnetic needle in a nonuniform external magnetic field. Center of the magnetic needle is pivoted so that it is allowed to rotate about one axis. A magnetic needle placed in an external magnetic field has two equilibrium points, one is stable and the other is unstable. A passivity based non-linear controller is designed for nonuniform external magnetic field system, and its tracking performance is studied at the unstable equilibrium point. The transient and steady state performance are compared between different control strategies in terms of settling time, peak overshoot, the steady state amplitude of oscillations. Further, the control strategies designed for uniform external magnetic field system are applied to the nonuniform external magnetic field system, to study the change in performance when compared to the designed controller for nonuniform external magnetic field system. The conclusions are made based on the simulation results.
Toward a Theory of Intuitive Decision–Making in Nursing

The author in this article presents a theory of decision-making in nursing, specifically a middle-range theory of intuitive decision-making in nursing created through the synthesis of Patricia Benner’s model of skill acquisition in nursing and Damasio’s somatic marker hypothesis. The author proposes that Damasio’s somatic state is equivalent to what Benner has identified as intuition. When a nurse is faced with a decision, intuition, if developed, is a somatic state that creates a measurable physiological biasing signal (skin conductive response) that helps in making an advantageous decision. Research, educational, clinical and theoretical implications are discussed.
Morphological and Molecular Identification of Botrytis Cinerea Causal Agent of Gray Mold in Rose Greenhouses in Centeral Regions of Iran

Botrytis cinerea is an important pathogen that causes diseases in ornamental crops. In presentresearch several greenhouses of roses located in central region of Iran were surveyed toidentify the Botrytis cinerea. A total of 80 isolates were collected from rose greenhouses incentral region of Iran. Morphological identification was based on characters such asconidiophore and conidial length. According to the results conidiophores length was (587)657-3123 (3896) μm, conidial dimension were in the range of (4)8–13(16)×(2)4–7(10) μm. Based on these characteristics, all isolates belonged to morphospecies Botrytis cinerea.Using specific primer pairs C729 and PCR molecular method, a DNA fragment of 700bpwas amplified to the gene isolates for 30 representative isolates identified by morphologicalassessment indicating the presence of Botrytis cinerea rose samples.
Promoter analysis and chromosomal mapping of human EBAG9 gene.

The human EBAG9 was previously identified as an estrogen responsive gene using CpG-genomic binding site cloning (Watanate et al., (1998) Mol. Cell. Biol. 18: 442-449). Recently it was revealed that the EBAG9 is identical with RCAS1 which is a cancer cell surface antigen implicated in immune escape. Here, we isolated and analyzed the 5'-flanking region of human EBAG9 gene. We determined transcription initiation site, which has a homology with an initiator element YYCAYYYY, and found that TATA motif was absent. Deletion analysis of the 5'-flanking region using MCF-7 breast cancer cells indicated that the sequences -86 to -36 containing the ERE had the basal level of promoter activity and the upstream GC-rich region positively regulated the activity. EBAG9 promoter luciferase reporters containing the ERE could respond to estrogen, and electrophoretic mobility shift assay showed that ERalpha bound to the ERE. Moreover, fluorescent in situ hybridization analysis has shown that the human EBAG9 gene is located at chromosome 8q23 which is frequently amplified in tumors. These findings suggest that the human EBAG9 might be involved in carcinogenesis as an estrogen responsive gene.
Fuzzy I-PD Controller for Level Control

This paper introduces a level control system using a fuzzy I-PD controller. The proposed controller composes of Mamdani fuzzy I and Mamdani fuzzy PD controllers and is adjusted to meet the desired control system performances both in transient state and steady state. The simulation results in controlling the level processes by using the fuzzy I-PD controller with the same parameters (proportional gain, integral gain and derivative gain) as the conventional I-PD controller are shown in this paper