Miracle-dz/UniFAR-FTUs huggingface dataset:
The Prediction of Marital Satisfaction and Sexual Satisfaction Based on Attachment Styles among Married Women in Gorgan

The objective of this research was to study the relationship between attachment styles with sexual satisfaction and marital satisfaction among married women and the prediction of marital satisfaction and sexual satisfaction based on attachment styles. For this purpose, 150 married women were selected by randomized cluster sampling from different parts of the city. In this study, the attachment style questionnaire of Collins and Read (RAAS), the sexual satisfaction questionnaire of Larson (LSSQ) and the marital satisfaction questionnaire of Enrich (ENRICH), were used. Data were analyzed by using Pearson correlation and stepwise regression analysis. The results revealed that the marital satisfaction and sexual satisfaction were positively correlated with secure attachment style and were in contrast with insecure attachment styles. Regarding to regression analysis it is also mentionable that the secure attachment is a strong predictor of marital satisfaction and sexual satisfaction. Findings have been studied based on research theoretical background, marital and sexual satisfaction and also attachment styles. Results revealed that Secure attachment style, increased satisfaction and Forms of insecure attachment styles, made it vulnerable in long time hence dissatisfaction in relation would happen.
Levetiracetam in the treatment of epilepsy

Epilepsy is a common chronic disorder that requires long-term antiepileptic drug therapy. Approximately one half of patients fail the initial antiepileptic drug and about 35% are refractory to medical therapy, highlighting the continued need for more effective and better tolerated drugs. Levetiracetam is an antiepileptic drug marketed since 2000. Its novel mechanism of action is modulation of synaptic neurotransmitter release through binding to the synaptic vesicle protein SV2A in the brain. Its pharmacokinetic advantages include rapid and almost complete absorption, minimal insignificant binding to plasma protein, absence of enzyme induction, absence of interactions with other drugs, and partial metabolism outside the liver. The availability of an intravenous preparation is yet another advantage. It has been demonstrated effective as adjunctive therapy for refractory partial-onset seizures, primary generalized tonic-clonic seizures, and myoclonic seizures of juvenile myoclonic epilepsy. In addition, it was found equivalent to controlled release carbamazepine as first-line therapy for partial-onset seizures, both in efficacy and tolerability. Its main adverse effects in randomized adjunctive trials in adults have been somnolence, asthenia, infection, and dizziness. In children, the behavioral adverse effects of hostility and nervousness were also noted. Levetiracetam is an important addition to the treatment of epilepsy.
A Practical Clinical Approach to Diagnosis of Fetal Alcohol Spectrum Disorders: Clarification of the 1996 Institute of Medicine Criteria

Background. The adverse effects of alcohol on the developing human represent a spectrum of structural anomalies and behavioral and neurocognitive disabilities, most accurately termed fetal alcohol spectrum disorders (FASD). The first descriptions in the modern medical literature of a distinctly recognizable pattern of malformations associated with maternal alcohol abuse were reported in 1968 and 1973. Since that time, substantial progress has been made in developing specific criteria for defining and diagnosing this condition. Two sets of diagnostic criteria are now used most widely for evaluation of children with potential diagnoses in the FASD continuum, ie, the 1996 Institute of Medicine (IOM) criteria and the Washington criteria. Although both approaches have improved the clinical delineation of FASD, both suffer from significant drawbacks in their practical application in pediatric practice. Objective. The purpose of this report is to present specific clarifications of the 1996 IOM criteria for the diagnosis of FASD, to facilitate their practical application in clinical pediatric practice. Methods. A large cohort of children who were prenatally exposed to alcohol were identified, through active case-ascertainment methods, in 6 Native American communities in the United States and 1 community in the Western Cape Province of South Africa. The children and their families underwent standardized multidisciplinary evaluations, including a dysmorphology examination, developmental and neuropsychologic testing, and a structured maternal interview, which gathered data about prenatal drinking practices and other demographic and family information. Data for these subjects were analyzed, and revisions and clarifications of the existing IOM FASD diagnostic categories were formulated on the basis of the results. Results. The revised IOM method defined accurately and completely the spectrum of disabilities among the children in our study. On the basis of this experience, we propose specific diagnostic criteria for fetal alcohol syndrome and partial fetal alcohol syndrome. We also define alcohol-related birth defects and alcohol-related neurodevelopmental disorder from a practical standpoint. Conclusions. The 1996 IOM criteria remain the most appropriate diagnostic approach for children prenatally exposed to alcohol. The proposed revisions presented here make these criteria applicable in clinical pediatric practice.
Kernel Method for Voice Activity Detection in the Presence of Transients

Voice activity detection in the presence of transient interferences is a challenging problem since transients are often detected incorrectly as speech by existing detectors. In this paper, we deviate from traditional approaches and take a geometric standpoint, in which the key element in obtaining an accurate voice activity detection is finding a metric that appropriately distinguishes between speech and transients. For example, speech and transients may often appear similar through the Euclidean distance when represented, e.g., by the Mel-frequency cepstral coefficients, thereby resulting in incorrect speech detection. To address this challenge, we propose to use a metric based on the statistics of the signal in short temporal windows and justify its use by modeling speech and transients by their latent generating variables. These latent variables may be related to physical constraints controlling the generation of the signal, and, as such, they accurately represent the content of the signal - speech or transient. We show that the Euclidean distance between the latent variables is approximated by the proposed metric. Then, by incorporating this metric into a kernel-based manifold learning method, we devise a measure of voice activity and show it leads to improved detection scores compared with competing detectors.
Obstacles for Teachers to Participate in Organizations Effectively

Civil organizations, while trying to save and develop their member's social and economic rights they also produce service about their occupational education and psychological needs. To be organized, is a necessity not only person but also people who hold administration. In this research, which is aimed to search obstacles for teachers to participate in organizations effectively, survey method was used and the thoughts of teachers and managers in Kayseri were asked. According to the results, teachers and managers who are working cannot participate occasional and civilian organizations effectively. Generally, teachers and managers hasn't got enough conscious of occasional and civilian organizations and also they think that being a member of an organization can be seen as being close to a political movement. Also, they share the idea that supports organizations cannot solve occasional problems and there isn't enough safety atmosphere to have organizational thoughts and movements. It is seen that just like all the other administrative and occasional movements, organizational movements also need safety atmosphere. They share the doubt that in the previous years there was lots of negative experiences for the organizational movements and also not having modern organizations which give the right of strike and collective agreement is a problem for them. It is necessary for the government to understand the meaning and importance of organizations and try to solve the problems of especially modern organizations, to support legal civilian attacks and organizational movements.
Lipid Peroxidation Is another Potential Mechanism besides Pore-Formation Underlying Hemolysis of Tentacle Extract from the Jellyfish Cyanea capillata

This study was performed to explore other potential mechanisms underlying hemolysis in addition to pore-formation of tentacle extract (TE) from the jellyfish Cyanea capillata. A dose-dependent increase of hemolysis was observed in rat erythrocyte suspensions and the hemolytic activity of TE was enhanced in the presence of Ca2+, which was attenuated by Ca2+ channel blockers (Diltiazem, Verapamil and Nifedipine). Direct intracellular Ca2+ increase was observed after TE treatment by confocal laser scanning microscopy, and the Ca2+ increase could be depressed by Diltiazem. The osmotic protectant polyethylenglycol (PEG) significantly blocked hemolysis with a molecular mass exceeding 4000 Da. These results support a pore-forming mechanism of TE in the erythrocyte membrane, which is consistent with previous studies by us and other groups. The concentration of malondialdehyde (MDA), an important marker of lipid peroxidation, increased dose-dependently in rat erythrocytes after TE treatment, while in vitro hemolysis of TE was inhibited by the antioxidants ascorbic acid—Vitamin C (Vc)—and reduced glutathione (GSH). Furthermore, in vivo hemolysis and electrolyte change after TE administration could be partly recovered by Vc. These results indicate that lipid peroxidation is another potential mechanism besides pore-formation underlying the hemolysis of TE, and both Ca2+ channel blockers and antioxidants could be useful candidates against the hemolytic activity of jellyfish venoms.
Matching Personality Skills with Marketing Careers

The Marketing field can be divided into 26 main Marketing occupations. While each of these occupations requires similar strengths and personality traits for success, some require certain skills more than others. The purpose of this study is to research which strengths and personality skills stand out within each of the 26 Marketing occupations, and then to examine how the research findings correlate with the results of a survey. A survey was administered at the University of Wisconsin-La Crosse to determine which of the 26 marketing occupations are most appealing to the respondents as potential future careers, along with which strengths and personality skills they believe best describe themselves as an individual.
Managing BGP Routes with a BGP Session Multiplexer

This paper presents the design, implementation, and evaluation of BGP-Mux, a system for providing multiple clients access to a common set of BGP update streams from multiple BGP peers. By providing multiple clients access to the same set of BGP feeds, BGP-Mux facilitates many applications, including: (1) scalable, real-time monitoring of BGP update feeds; (3) new routing architectures that require access to all BGP routing updates from neighboring ASes (as opposed to just the best BGP route for each destination); and (2) virtual networks running on shared infrastructure that share common underlying network connectivity. We have implemented BGP-Mux through by configuring existing features in the Quagga software router; we have deployed BGPMux on VINI and evaluated its scalability and performance in a controlled environment on the Emulab testbed.
SRAM cell design considerations for SOI technology

The performance and threshold-voltage variability of vertical SOI FinFETs are compared against those of planar fully depleted SOI MOSFETs with thin buried oxide, via three-dimensional device simulation with atomistic doping profiles and gate line-edge roughness, for the 22 nm CMOS technology node (25 nm gate length). Compact modeling is then used to estimate six-transistor SRAM cell performance metrics. Although FinFET technology offers superior performance, it is projected to have lower yield for comparable cell area, due to higher sensitivity to random and process-induced variations.
Phonotactics and Syllable Stress: Implications for the Processing of Spoken Nonsense Words

Two experiments using bisyllabic CVCCVC nonsense words that varied in phonotactic probability and stress placement were conducted to examine the influences of phonotactic and metrical information on spoken word recognition. Experiment 1 examined participants' intuitions about the phonological “goodness” of nonsense words. Experiment 2 examined processing times for the same stimuli in a speeded auditory repetition task. The results of both studies provide further evidence that the phonotactic configuration and stress placement of spoken stimuli have important implications for the representation and processing of spoken words.
Flexible Traffic Engineering: When OpenFlow Meets Multi-Protocol IP-Forwarding

In this letter, we present flexible traffic engineering (F-TE), a solution to achieve highly efficient traffic engineering in a hybrid network where IPv4 and IPv6 protocols co-exist. By leveraging the programmability of OpenFlow (OF), we design the OF system to facilitate IP forwarding interchanging (i.e., switching the packets between IPv4 and IPv6 at each hop according to the network status). The OF system is implemented in a real network testbed. We conduct experiments with video streaming to verify that the proposed F-TE can improve network throughput effectively with adaptive IP interchanging.
Genotype by environment interactions in viability and developmental time in populations of cactophilic Drosophila

The genetic and ecological basis of viability and developmental time differences between Drosophila buzzatii and D. koepferae were analysed using the isofemale line technique. Several isofemale lines were sampled from pairs of allopatric/sympatric populations of each species. Flies were reared in media prepared with decaying tissues of two of the main natural cactus hosts of each species. This experimental design enabled us to evaluate the relative contribution of phenotypic plasticity, genetic variation and genotype by environment interaction (G × E) to total phenotypic variation for two fitness traits, viability and developmental time. Our results revealed significant G × E in both traits, suggesting that the maintenance of genetic variation can be explained, at least in part, by diversifying selection in different patches of a heterogeneous environment in both species. However, the relative importance of the factors involved in the G × E varied between traits and populations within species. For viability, the G × E can be mainly attributed to changes in the rank order of lines across cacti. However, the pattern was different for developmental time. In D. buzzatii the G × E can be mainly accounted for by changes in among line variance across cacti, whereas changes in the rank order of lines across cacti was the main component in D. koepferae. These dissimilar patterns of variation between traits and species suggest that the evolutionary forces shaping genetic variation for developmental time and viability vary between populations within species and between species.
Regulation of motivation: predicting students’ homework motivation management at the secondary school level

This study examines models of variables posited to predict students’ homework motivation management (HMM), based on survey data from 866 8th graders (61 classes) and 745 11th graders (46 classes) in the south-eastern USA. Most of the variance in HMM occurred at the student level, with parent education as the only significant predictor at the class level. At the student level, HMM was positively associated with family help, peer-oriented reasons, learning-oriented reasons, homework interest, arranging the environment and managing time. Girls (compared with boys) and Blacks (compared with Whites) were more likely to manage homework motivation. The gender difference in HMM was more pronounced among Blacks (compared with Whites) and among 8th graders (compared with 11th graders).
Maternal Obesity and the Risk of Infant Death in the United States

Background: Maternal obesity (defined as prepregnancy body mass index [BMI] ≥30 kg/m2) is associated with increased risk of neonatal death. Its association with infant death, postneonatal death, and cause-specific infant death is less well-characterized. Methods: We studied the association between maternal obesity and the risk of infant death by using 1988 US National Maternal and Infant Health Survey data. A case-control analysis of 4265 infant deaths and 7293 controls was conducted using SUDAAN software. Self-reported prepregnancy BMI and weight gain were used in the primary analysis, whereas weight variables in medical records were used in a subset of 4308 women. Results: Compared with normal weight women (prepregnancy BMI = 18.5–24.9 kg/m2) who gained 0.30 to 0.44 kg/wk during pregnancy, obese women had increased risk of neonatal death and overall infant death. For obese women who had weight gain during pregnancy of <0.15, 0.15 to 0.29, 0.30 to 0.44, and ≥0.45 kg/wk, the adjusted odds ratios of infant death were 1.75 (95% confidence interval = 1.28–2.39), 1.42 (1.07–1.89), 1.59 (1.00–2.51), and 2.87 (1.98–4.16), respectively. Nonobese women with very low weight gain during pregnancy also had a higher risk of infant death. The subset with weight information from medical records had similar results for recorded prepregnancy BMI and weight gain. Maternal obesity was associated with neonatal death from pregnancy complications or disorders relating to short gestation and unspecified low birth weight. Conclusions: Maternal obesity is associated with increased overall risk of infant death, mainly neonatal death.
The Effects of Data Size and Frequency Range on Distributional Semantic Models

This paper investigates the effects of data size and frequency range on distributional semantic models. We compare the performance of a number of representative models for several test settings over data of varying sizes, and over test items of various frequency. Our results show that neural network-based models underperform when the data is small, and that the most reliable model over data of varying sizes and frequency ranges is the inverted factorized model.
Artiicial Biology

Artiicial Life spans a continuum from engineering to biology. Biological organisms are inspiring both as existence proofs for the tractability of many engineering problems and as testaments to the innovation and power of evolution as a sort of \blind" engineer. The middle of the continuum is occupied by researchers trying to synthesize life in novel substrates. Far from the nightmares of Frankenstein, theoretical biologists are beginning to open up some of the most intractable problems of biology through the use of new computer modeling techniques. Artiicial Biology is this approach of using computer models to simulate biological systems. These simulations allow us to gain experimental control over biological systems that are beyond direct empirical method-ologies. The models also allow us to address systems with complexities that would make an analytical model intractable. In this way, Artiicial Biology complements the traditional elds of empirical and theoretical biology. 1 The Structure of Artiicial Life We have only one example of how life can work. All of life, as we know it, is based on a genetic code of four nucleic acids and their translation into proteins. Yet, we have begun to suspect that perhaps \life" is a more general phenomenon and so might be found in unfamiliar substrates. It is almost as if we were stuck in the middle ages when our only experience of light was that it came from re. It is diicult to understand any complex phenomenon when you cannot abstract the concept from its implementation. This is the raison d'etre for the eld of Artiicial Life.13, 15, 14, 3, 23] In the long view, researchers in Artiicial Life seek to simulate and even synthesize life in novel media in order to understand the phenomenon of life itself. Only then can we hope to separate the historical accidents that led to life on Earth from the systematic constraints that shaped it. Artiicial Life can be understood as the froth that is thrown up when the waves of engineering hubris crash upon the shores of organismal biology. It is the intersection of 1
Ptf1a-mediated control of Dll1 reveals an alternative to the lateral inhibition mechanism

Neurog3-induced Dll1 expression in pancreatic endocrine progenitors ostensibly activates Hes1 expression via Notch and thereby represses Neurog3 and endocrine differentiation in neighboring cells by lateral inhibition. Here we show in mouse that Dll1 and Hes1 expression deviate during regionalization of early endoderm, and later during early pancreas morphogenesis. At that time, Ptf1a activates Dll1 in multipotent pancreatic progenitor cells (MPCs), and Hes1 expression becomes Dll1 dependent over a brief time window. Moreover, Dll1, Hes1 and Dll1/Hes1 mutant phenotypes diverge during organ regionalization, become congruent at early bud stages, and then diverge again at late bud stages. Persistent pancreatic hypoplasia in Dll1 mutants after eliminating Neurog3 expression and endocrine development, together with reduced proliferation of MPCs in both Dll1 and Hes1 mutants, reveals that the hypoplasia is caused by a growth defect rather than by progenitor depletion. Unexpectedly, we find that Hes1 is required to sustain Ptf1a expression, and in turn Dll1 expression in early MPCs. Our results show that Ptf1a-induced Dll1 expression stimulates MPC proliferation and pancreatic growth by maintaining Hes1 expression and Ptf1a protein levels.
Conversations with my washing machine: an in-the-wild study of demand shifting with self-generated energy

Domestic microgeneration is the onsite generation of low- and zero-carbon heat and electricity by private households to meet their own needs. In this paper we explore how an everyday household routine -- that of doing laundry -- can be augmented by digital technologies to help households with photovoltaic solar energy generation to make better use of self-generated energy. This paper presents an 8-month in-the-wild study that involved 18 UK households in longitudinal energy data collection, prototype deployment and participatory data analysis. Through a series of technology interventions mixing energy feedback, proactive suggestions and direct control the study uncovered opportunities, potential rewards and barriers for families to shift energy consuming household activities and highlights how digital technology can act as mediator between household laundry routines and energy demand-shifting behaviors. Finally, the study provides insights into how a "smart" energy-aware washing machine shapes organization of domestic life and how people "communicate" with their washing machine.