Miracle-dz/UniFAR-FTUs huggingface dataset:
Nibrin Forkhead-associated Domain and Breast Cancer C-terminal Domain Are Both Required for Nuclear Focus Formation and Phosphorylation*

The Mre11·Rad50·nibrin protein complex plays an essential role in the mammalian cellular response to DNA double-strand breaks. The disorder Nijmegen breakage syndrome (NBS) results from mutations in the NBS1 gene that encodes nibrin, and NBS cells are radiosensitive and defective in S-phase checkpoint activation following irradiation. In response to radiation, nibrin is phosphorylated by Atm, and the Mre11·Rad50·nibrin complex relocalizes to form punctate nuclear foci. The N terminus of nibrin contains a forkhead-associated (FHA) domain and a breast cancer C-terminal (BRCT) domain, the functions of which are unclear. To determine the role of the FHA and BRCT domains in nibrin function, we have performed site-directed mutagenesis of conserved residues in these motifs. Mutations in the nibrin FHA and BRCT domains did not affect interaction with Mre11·Rad50 or nuclear localization of the complex. However, mutation of conserved residues in either domain disrupted nuclear focus formation and blocked nibrin phosphorylation after irradiation, suggesting that these events may be functionally interdependent. Despite an effect on nibrin phosphorylation, expression of the FHA or BRCT mutants in NBS cells restored the downstream phosphorylation of Chk2 and Smc1, necessary for S-phase checkpoint activation. None of the mutations revealed separate functions for the FHA or BRCT domains, suggesting they do not function independently.
Investigating the Effects of Memorable Experiences: an Extended Model of Script Theory

ABSTRACT Providing visitors with unique and memorable experiences is believed to be a competitive advantage of theme parks. The purpose of this study was to examine the impact of theme park visitors’ experiences on their recollection-based memories, satisfaction, and loyalty using the foundation of script theory. Surveys were collected from visitors at the Fantasilandia theme park in Santiago, Chile. The findings indicated that satisfaction partially mediated the relationship between experience and recollection, and that both satisfaction and recollection influenced loyalty behaviors. The study is anticipated to provide theme park managers with effective strategies for the design of attractions and activities, as well as for the development of marketing techniques.
Hybrid Method for Customized Control of Induction Motor

—A hybrid method utilizing ladder logic diagram modeled Programmable Logic Controller and Pulse Width Modulation based variable frequency drive has been proposed for controlling the prime mover; induction motor. The paper epitomizes the basic requirements of the proposed panel based on ergonomics. The proposed design covers the implementation parameters aiming to ameliorate the human machine interaction. This computer controlled systems has the ability to continuously evolve its control strategy conditions for flexible operations. The tasks complied through the control panel include customized starting, direction controlling, inching and speed controlling.
KCNE5 (KCNE1L) Variants Are Novel Modulators of Brugada Syndrome and Idiopathic Ventricular Fibrillation

Background—Brugada syndrome (BrS) has a significantly higher incidence among the male sex. Among genes coding ion channels and their modulatory proteins, KCNE5 (KCNE1L) is located in the X chromosome and encodes an auxiliary &bgr;-subunit for K channels. KCNE5 has been shown to modify the transient outward current (Ito), which plays a key role in determining the repolarization process in the myocardium. This study investigated whether KCNE5 mutations could be responsible for BrS and other idiopathic ventricular fibrillation (IVF). Methods and Results—In 205 Japanese patients with BrS or IVF who tested negative for SCN5A mutation, we conducted a genetic screen for KCNE5 variants. We identified 2 novel KCNE5 variants: p.Y81H in 3 probands and p.[D92E;E93X] in 1 proband from 4 unrelated families. Y81H was identified in 1 man and 2 women; D92E;E93X was found in a 59-year-old man. All probands received implantable cardioverter-defibrillators. Functional consequences of the KCNE5 variants were determined through biophysical assay using cotransfection with KCND3 or KCNQ1. In the experiments with KCND3, which encodes Kv4.3, Ito was significantly increased for both KCNE5 variants compared to wild type. In contrast, there were no significant changes in current properties reconstructed by KCNQ1+ wild type KCNE5 and the 2 variants. With the simulation model, both variants demonstrated notch-and-dome or loss-of-dome patterns. Conclusions—KCNE5 modulates Ito, and its novel variants appeared to cause IVF, especially BrS, in male patients through gain-of-function effects on Ito. Screening for KCNE5 variants is relevant for BrS or IVF.
Assessment of Aortic Arch Stiffness Using Pulse‐Wave Tissue Doppler Imaging: A Transesophageal Echocardiographic Comparison Study of Acute Ischemic Stroke Patients and Stroke‐Free Patients

Elevated aortic stiffness determined by transesophageal echocardiography (TEE), and presence of complicated aortic plaque provide prognostic information about cerebrovascular disease risk. Recently, pulse‐wave tissue Doppler imaging (PW‐TDI) has offered a new technique for assessing aortic wall stiffness.
A TECHNICAL REPORT ON THE CLIFTON STRENGTHSFINDER ® WITH COLLEGE STUDENTS

The decision to use the results from any instrument in working with students should be based upon a careful examination of the reliability and validity of the instrument within the context of how it is intended to be used. Meeting scientific standards for test development is an important aspect in evaluating the use of any instrument such as the Clifton StrengthsFinder. Such standards have been developed by the American Psychological Association, the American Educational Research Association, and the National Council on Measurement in Education (1999). Before deciding to use the Clifton StrengthsFinder, three issues should be addressed by those who are using the results. The first has to do with the reliability of the instrument, or the consistency of the measurement. Are the results a dependable, consistent indicator of the quality that is being measured? The second question has to do with the validity of the instrument; that is, does this instrument actually measure what it claims to measure? The third question has to do with the appropriate use of the instrument: what is the purpose for which the instrument was designed? How should the results be used, given the purpose of the instrument? The issues of reliability, validity, and appropriate use will be addressed in this report. Development of the Clifton StrengthsFinder The Clifton StrengthsFinder, developed by Gallup under the leadership of educational psychologist Donald O. Clifton, has as its foundation the strengths philosophy that has formed the basis for the positive psychology movement. Positive psychology is a field that emphasizes optimal human functioning and factors that contribute to a sense of well-being and the ability to
Novel Approach for Modeling Separation Forces Between Deformable Bodies

Many minimally invasive surgeries (MISs) involve removing whole organs or tumors that are connected to other organs. Development of haptic simulators that reproduce separation forces between organs can help surgeons learn MIS procedures. Powerful computational approaches such as finite-element methods generally cannot simulate separation in real time. This paper presents a novel approach for real-time computation of separation forces between deformable bodies. Separation occurs either due to fracture when a tool applies extensive forces to the bodies or due to evaporation when a laser beam burns the connection between the bodies. The separation forces are generated online from precalculated force-displacement functions that depend on the local adhesion/separation states between bodies. The precalculated functions are accurately synthesized from a large number of force responses obtained through either offline simulation, measurement, or analytical approximation during the preprocessing step. The approach does not require online computation of force versus global deformation to obtain separation forces. Only online interpolation of precalculated responses is required. The state of adhesion/separation during fracture and evaporation are updated by computationally simple models, which are derived based on the law of conservation of energy. An implementation of the approach for the haptic simulation of the removal of a diseased organ is presented, showing the fidelity of the simulation
Fulminant type 1 diabetes: a nationwide survey in Japan.

OBJECTIVE To describe the clinical and immunologic characteristics of fulminant type 1 diabetes, a novel subtype of type 1 diabetes, we conducted a nationwide survey. RESEARCH DESIGN AND METHODS History and laboratory data, including islet-related autoantibodies, were examined in 222 patients with fulminant and nonfulminant type 1 diabetes in our hospitals in addition to another 118 patients with fulminant type 1 diabetes located outside our hospitals in Japan. RESULTS In our hospitals, of the 222 patients studied, 43 (19.4%) were diagnosed with fulminant type 1 diabetes, 137 (61.7%) were classified as having autoimmune type 1 diabetes, and 42 were type 1 diabetic subjects who were not fulminant and did not have anti-islet antibodies. An additional 118 fulminant patients outside our hospitals were enrolled, making a total of 161 fulminant type 1 diabetic subjects (83 male and 78 female subjects; 14 children/adolescents and 147 adults) identified from all over Japan. (In 2000, the average incidence was three cases per month.) Flu-like symptoms and pregnancy were more frequently observed in the fulminant than in the autoimmune group (P < 0.001). In the fulminant patients, 4.8% were positive for anti-GAD antibodies and none were positive for anti-islet antigen 2 antibodies. CONCLUSIONS Fulminant type 1 diabetes is a distinct subtype and accounts for approximately 20% of the ketosis-onset type 1 diabetes cases in Japan. Flu-like symptoms are characteristic of disease onset. Metabolic derangement is more severe in this subtype than in autoimmune type 1 diabetes.
The white gene of the tephritid fruit fly Bactrocera tryoni is characterized by a long untranslated 5′ leader and a 12 kb first intron

A 300 bp fragment from exon 6 of the white gene of Bactrocera tryoni was used to screen a B. tryoni genomic library. One positive (∼14 kb) insert contained exons 2–6 of white by nucleotide and amino acid sequence similarity to the white genes of D. melanogaster (O'Hare et al., 1984; Pepling & Mount, 1990). Lucilia cuprina (Garcia et al., 1996). Ceratitis capitata (Zwiebel et al., 1995) and Anopheles gambiae (Besansky et al., 1995). A white 5′ cDNA fragment containing exons 1, 2 and part of exon 3 was amplified, cloned and sequenced. An inverse PCR fragment of genomic DNA was generated, containing the exon 1 coding region plus ∼2.1 kb of upstream sequence, encompassing the putative promoter of the gene. Exon 1 was found to be 728 bp long, encoding the first twenty‐five amino acids. The full length of intron 1 was shown to be 12 kb (amplified using long PCR protocols), up to 3 times the length of the longest white intron 1 isolated to date.
Immature Dendritic Cells Acquire Cd8+Cytotoxic T Lymphocyte Priming Capacity upon Activation by T Helper Cell–Independent or–Dependent Stimuli

The well defined, immature murine dendritic cell (DC) line D1 was used to study the role of DC maturation in CTL induction in vitro and in vivo. Maturation of D1 cells, characterized by markedly increased expression of MHC and costimulatory molecules, was induced by incubation with lipopolysaccharide, agonistic CD40 antibody, or specific CD4+ T helper (Th) cells. Activated, but not immature, D1 cells efficiently primed alloreactive T cell responses in vitro. Similarly, priming of CTL immunity in vivo in CD4-depleted mice was only observed if these mice were immunized with activated D1 cells. This study provides formal evidence that activation of DCs, induced by Th-independent as well as Th-dependent stimuli, is essential for efficient induction of CTL responses.
American Journal of Epidemiology Original Contribution Effect of Iodine Supplementation during Pregnancy on Infant Neurodevelopment at 1 Year of Age

Iodine is the main constituent of thyroid hormones, which in turn are required for fetal brain development. However, the relation between iodine intake during pregnancy, thyroid function, and child neurodevelopment needs further evaluation. The authors assessed the association of maternal iodine intake from diet and supplements during pregnancy and of maternal and neonatal thyroid function with infant neurodevelopment. The Mental Development Index and Psychomotor Development Index (PDI) for 691 children were obtained between 2005 and 2007 using the Bayley Scales of Infant Development at age 1 year in a prebirth cohort in Valencia, Spain. In multivariate analyses, a maternal thyrotropin level >4 lU/mL was associated with an increased risk of a PDI <85 (odds ratio ¼ 3.5, P ¼ 0.02). Maternal intake of ! 150 lg/day, compared with <100 lg/day, of iodine from supplements was associated with a 5.2-point decrease in PDI (95% confidence interval: À8.1, À2.2) and a 1.8-fold increase in the odds of a PDI <85 (95% confidence interval: 1.0, 3.3). When analyses were stratified by sex, this association was intensified for girls but was not observed for boys. Further evidence on the safety and effectiveness of iodine supplementation during pregnancy is needed before it is systematically recommended in iodine-sufficient or mildly deficient areas. Adequate maternal iodine nutrition before and during pregnancy is essential for adjusting thyroid function to the increasing demands of the pregnant condition. Moreover, maternal thyroid hormones, especially during the first half of pregnancy, are crucial for correct maturation of the central nervous system of the fetus and subsequent neurodevel-opment of the child (1, 2). There is widespread evidence regarding the deleterious effects of severe iodine deficiency during pregnancy on both maternal thyroid function and child development (3, 4). Furthermore, overt maternal hypothyroidism has been related to adverse reproductive outcomes and poor developmental achievement in children (5, 6). However, the impact of maternal subtle dysfunctions, such as subclinical hypo-thyroidism or transient hypothyroxinemia, remains less well established (7–12). Ideally, women should have sufficient iodine nutrition long before conception; accordingly, universal salt iodization programs are considered the best strategy to prevent neurodevelopment disorders related to iodine deficiency (3, 13). However, a current common practice in developed countries consists of recommending systematic iodine supplementation early in pregnancy, even in areas considered iodine sufficient for the general population , such as the United States (14). The rationale forwarded is that the small risks of iodine excess are outweighed by the …
A qualitative study investigating the sources of teacher efficacy beliefs

A teacher’s efficacy beliefs have been found to influence their professional commitment (Coladarci, 1992; Ware and Kitsantas, 2007, 2011; Klassen et al., 2013), their job satisfaction (Caprara et al., 2006, Hoigaard et al., 2012) and how resilient they are in difficult situations (Ashton and Webb, 1986), as well as influencing student achievement and teaching performance (Armor et al., 1976; Caprara et al, 2006; Klassen and Tze, 2014). Bandura (1997) has suggested that self-efficacy beliefs are formed from four sources: enactive mastery experiences, vicarious experiences, verbal persuasion and physiological and affective states. Considering the potential importance of developing positive teacher efficacy cognitions, there has been a lack of research investigating the sources of teacher efficacy beliefs (Henson, 2002; Klassen et al, 2011). This study used a constructivist grounded theory method to investigate the sources of teachers’ efficacy beliefs, a method that has not been employed by other researchers in this area. The use of a social constructivist framework (Charmaz, 2006), with its focus on processes and the creation of knowledge through interaction, reflected my belief that my own experiences as a teacher may influence the interpretation of the data. In this study, 18 interviews were conducted with teachers in a secondary school in Essex. Teachers appeared to use a variety of sources to validate their efficacy beliefs. In contrast to Bandura’s (1997) theory about the sources of self-efficacy beliefs suggesting mastery experiences as the most important, verbal persuasion in the form of lesson observation feedback appeared to be a particularly salient source for teachers in this study. The study suggests that this may be due to the increasing accountability culture in English schools. The study contributes to our understanding of how teacher efficacy beliefs are influenced by contextual factors, in particular the influence of government agendas, and suggests some implications for school leaders and areas for future research.
The Trouble with "Articulatory" Pauses

The historical provenance of a minimum cut-off point (of about 0.25 sec) for pauses in temporal analyses of speech production is associated with Goldman-Eisler's usage. Her rationale was the predominance of articulatory pauses at lengths shorter than 0.25 sec. Both phonotactic facts and empirical analysis of several corpora of readings disconfirm this predominance with respect to pauses 0.13-0.25 sec in length. The vast majority of these pauses are found to be psychological; they are determined by syntax, punctuation, rhetorical and expressive emphasis, poetic format, and stylistic pecularities.
Interconnect Slew Metric Using Nakagami-M Distribution

Slew rate determines the ability of a device to handle the varying signals. Determination of the slew rate to a good proximity is thus essential for efficient design of high speed CMOS integrated circuits. This in turn reduces the output switching surges in the device. Interconnect slew has become a crucial bottleneck for any high density and high speed VLSI circuits. In this paper we have proposed an accurate and efficient model to compute the slew metric of on chip interconnect of high speed CMOS VLSI deigns. Our slew metric is based on the Nakagami-M distribution function. Comparison of simulation results with other established models justifies the accuracy of our slew approach.
Efficient context sensitivity for dynamic analyses via calling context uptrees and customized memory management

State-of-the-art dynamic bug detectors such as data race and memory leak detectors report program locations that are likely causes of bugs. However, programmers need more than static program locations to understand the behavior of increasingly complex and concurrent software. Dynamic calling context provides additional information, but it is expensive to record calling context frequently, e.g., at every read and write. Context-sensitive dynamic analyses can build and maintain a calling context tree (CCT) to track calling context--but in order to reuse existing nodes, CCT-based approaches require an expensive lookup. This paper introduces a new approach for context sensitivity that avoids this expensive lookup. The approach uses a new data structure called the calling context uptree (CCU) that adds low overhead by avoiding the lookup and instead allocating a new node for each context. A key contribution is that the approach can mitigate the costs of allocating many nodes by extending tracing garbage collection (GC): GC collects unused CCU nodes naturally and efficiently, and we extend GC to merge duplicate nodes lazily. We implement our CCU-based approach in a high-performance Java virtual machine and integrate it with a staleness-based memory leak detector and happens-before data race detector, so they can report context-sensitive program locations that cause bugs. We show that the CCU-based approach, in concert with an extended GC, provides a compelling alternative to CCT-based approaches for adding context sensitivity to dynamic analyses.
Stability enhancement of 3-D biped walking based on Passive Dynamic Autonomous Control

Previously, we have realized an efficient 3-D biped walking based on the Passive Dynamic Autonomous Control (PDAC), which is one of the point-contact methods. Since the dynamics based method such as the point-contact method utilizes the inherent dynamics of the robot, an efficient walking can be realized compared with the model based method. However, the stable range of the point-contact method is small and the robustness of the walking is not large enough for practical use. In order to increase robustness of the point-contact method, this paper proposes a swing leg retraction and a double support phase for the point-contact method. The swing leg retraction enhances the convergence range of the walking system; also, by use of the double support phase, the robot dynamics converges to a stable orbit even if a disturbance happens at a foot-contact. Finally, the proposed biped walking algorithm is verified by experiments.
Increasing the speed of convergence of an artificial neural network based ARMA coefficients determination technique

Abstract—In this paper, novel techniques in increasing the accu-racy and speed of convergence of a Feed forward Back propagationArtiﬁcial Neural Network (FFBPNN) with polynomial activationfunction reported in literature is presented. These technique wassubsequently used to determine the coefﬁcients of AutoregressiveMoving Average (ARMA) and Autoregressive (AR) system. Theresults obtained by introducing sequential and batch method of weightinitialization, batch method of weight and coefﬁcient update, adaptivemomentum and learning rate technique gives more accurate resultand signiﬁcant reduction in convergence time when compared t thetraditional method of back propagation algorithm, thereby makingFFBPNN an appropriate technique for online ARMA coefﬁcientdetermination. Keywords—Adaptive Learning rate, Adaptive momentum, Autore-gressive, Modeling, Neural Network. I. I NTRODUCTION The use of parametric modeling technique to predict orreconstruct a data sequence is concerned with the represen-tation of data in an efﬁcient technique [1]–[5], [11], [13]. This method have been used extensively in radar application,geophysical application, Medical signal processing, ultrasonictissue backscatter coefﬁcient estimation, speech processing,music understanding and more recently in the ﬁeld of Mag-netic Resonance Imaging (MRI) [2], [5], [11]–[13], [18], [19]. The use of parametric modeling technique involve two steps,namely Model selection and Model parameter determination[2], [8], [9]. Model selection is primarily concerned with theselection of appropriate modeling technique to represent thesystem or the signals under consideration [2], [4], [8]. someof the known and widely used models include AutoregressiveModel (AR), Moving Average Model (MA), Auto RegressiveMoving Average with External Input (ARX), Moving Average(MA) [2], [8], [9]. The use of different types of model maygive similar result for the same system but one of the modelsmay involve the determination of fewer model parameters,such a model is said to be more efﬁcient in its representationthan other technique. Furthermore, there exist a relationshipbetween MA, AR and ARMA modeling system, this rela-tionship is as captured in wold decomposition theorem [10]. The second step in parametric modeling is the determination