Miracle-dz/UniFAR-FTUs huggingface dataset:
Love-Bombing: A Narcissistic Approach to Relationship Formation

The current study examined the relationship between attachment style, self-esteem, and narcissism as they pertain to behavioral tendencies, termed love-bombing behaviors, among a sample of young adult millennials. Love-bombing was identified as the presence of excessive communication at the beginning of a romantic relationship in order to obtain power and control over another’s life as a means of narcissistic self-enhancement. Millennials have shown a drastic increase in narcissism compared to generations prior, and the need for psychological services on college campuses has also increased. This study sought to establish empirical evidence for the presence of love-bombing behaviors amongst millennials as a gateway for further research to address the problem facing young adult relationships today. The sample consisted of 484 college students from a large southern university who ranged in age from 18 to 30. Results indicated that love-bombing was positively correlated with narcissistic tendencies and insecure attachment styles (lack of trust or value in self and others), and negatively associated with self-esteem. Secure attachment was a positive indicator of love-bombing behaviors. Lastly, love-bombing was also associated with more text and media usage within romantic relationships. In conclusion, love-bombing was found to be a logical and potentially necessary strategy for romantic relationships among individuals with high displays of narcissism and low levels of self-esteem. This is the first study to empirically examine love-bombing behaviors; thus, future research should address the impact that these behaviors may have on young adult relationships. The potential for negative psychological impact on both love-bombers and the subject of their attacks are discussed. * Claire C. Strutzenberg is a December 2016 honors program graduate with a degree in Human Development and Family Sciences. † Jacquelyn D. Wiersma-Mosley, the faculty mentor, is an Associate Professor in the School of Human Environmental Sciences. § Kristen N. Jozkowski is an Associate Professor and Program Coordinator for the Department of Public Health and a Research Fellow at The Kinsey Institute for Research in Sex, Gender, and Reproduction. ‡ Jennifer N. Becnel is an Assistant Professor in the School of Human Environmental Sciences.
i18n-CKG: Considerations in Building Internationalization Contextualized Knowledge Graphs

This paper proposes a methodology for creating an Interna-tionalization Contextualized Knowledge Graph (i18n-CKG) that is designed to capture the wide range of international concepts and concerns. This methodology ﬁrst surveys how well known entities are represented through diﬀerent properties in various language locales. Next, the i18n-CKG is constructed as a combination of the i18n properties with inter-language translations and a scoring system to measure the universality of the properties. As a brief exercise, an i18n-CKG that models the i18n diﬀerences for a popular entertainer in English, Korean, Russian, and Chinese is presented.
Mutation Screening of the ALS 2 Gene in Sporadic and Familial Amyotrophic Lateral Sclerosis

Methods: DNA from 95 unrelated familial, 95 unrelated sporadic, and 11 early-onset ALS patients was screened for mutations in ALS2 by denaturing highperformance liquid chromatography and direct sequencing of polymerase chain reaction–amplified fragments. Each variant identified was also analyzed among control subjects. All 34 exons of ALS2 plus the 5 and 3 untranslated region were screened.
Instance Based Learning with Automatic Feature Selection Applied to Word Sense Disambiguation

We describe an algorithm for Word Sense Disambiguation (WSD) that relies on a lazy learner improved with automatic feature selection. The algorithm was implemented in a system that achieves excellent performance on the set of data released during the SENSEVAL-2 competition. We present the results obtained and discuss the performance of various features in the context of supervised learning algorithms for WSD.
Nucleotide sequence of avian carcinoma virus MH2: two potential onc genes, one related to avian virus MC29 and the other related to murine sarcoma virus 3611.

The 5.2-kilobase (kb) RNA genome of avian carcinoma virus MH2 has the genetic structure 5'-delta gag (0.2 kb)- mht (1.2 kb)-myc (1.4 kb)-c (0.4 kb)-poly(A) (0.2 kb)-3'. delta gag is a partial retroviral core protein gene, mht and myc are cell-derived MH2-specific sequences, and c is the 3'-terminal retroviral vector sequence. Here we have determined the nucleotide sequence of 3.5 kb from the 3' end of delta gag to the 3' end of molecularly cloned proviral MH2 DNA, in order to elucidate the genetic structure of the virus and to compare it with other mht - and myc-containing oncogenic viruses as well as with the chicken proto-myc gene. The following results were obtained: (i) delta gag- mht forms a hybrid gene with a contiguous reading frame of 2682 nucleotides that terminates with a stop codon near the 3' end of mht . The 3' 969 nucleotides of mht up to the stop codon are 80% sequence related to the onc-specific raf sequence of murine sarcoma virus 3611 (94% homologous at the deduced amino acid level). (ii) The myc sequence is preceded by an RNA splice acceptor site shared with the cellular proto-myc gene, beyond which it is colinear up to a 3'-termination codon and 40 noncoding nucleotides with the myc sequences of avian retrovirus MC29 and chicken proto-myc. Thus, myc forms, together with a 5' retroviral exon, a second MH2-specific gene. (iii) myc is followed by the 3'-terminal c region of about 400 nucleotides, which is colinear with that of Rous sarcoma virus except for a substitution near the 5' end of the long terminal repeat. It is concluded that MH2 contains two genes with oncogenic potential, the delta gag- mht gene, which is closely related to the delta gag-raf transforming gene of MSV 3611, and the myc gene, which is related to the transforming gene of MC29. Furthermore, it may be concluded that the cellular proto-onc genes, which on sequence transduction become viral onc genes, are a small group because among the 19 known onc sequences, 5 are shared by different taxonomic groups of viruses of which the mht /raf homology is the closest determined so far.
Modelling real-time online information needs: A new research approach for complex consumer behaviour

Abstract A major challenge for online vendor website operations is serving information that meets visitor needs at a given point in their purchase process. The problem arises from the complexity of human behaviour, as well as changing needs with the evolution of consumer knowledge and skills through the purchase process. The most difficult element, however, is determining the effects of information provided on the site, as well as from other sources that the consumer may access, and anticipating resulting consumer needs. This paper discusses the contributions and limitations of current modelling techniques and utility studies of online consumer information to model consumer needs in real time. An alternative basis for real-time customer need appraisal is proposed using clickstream and customer input data combined with online information utility to enable more effective information serving. This requires further academic research and changes in practitioner online marketing operations.
Labour Mobility, Housing Prices and Unemployment: a Swedish perspective

The importance of the housing market and labour market has long been recognized and explored in macroeconomics. In this thesis the linkages between these two markets are highlighted and examined. In this paper the particular relationship that will be explored is that of rising housing costs and unemployment, thereby adding to the small number of papers observing rising costs as opposed to falling prices. The results generally perform as expected with significant results. Most of the variables of interest indicated a positive relationship between rising housing costs and unemployment, however one of the variables produced a surprising result and indicated that there was a negative relationship. Despite this result, there is sufficient evidence through theoretical framework and estimation to infer that rising housing costs act as a deterrent for relocation leading to labour mobility problems which can exacerbate or prolong unemployment.
The potential for emerging therapeutic options for Clostridium difficile infection

Clostridium difficile is mainly a nosocomial pathogen and is a significant cause of antibiotic-associated diarrhea. It is also implicated in the majority of cases of pseudomembranous colitis. Recently, advancements in next generation sequencing technology (NGS) have highlighted the extent of damage to the gut microbiota caused by broad-spectrum antibiotics, often resulting in C. difficile infection (CDI). Currently the treatment of choice for CDI involves the use of metronidazole and vancomycin. However, recurrence and relapse of CDI, even after rounds of metronidazole/vancomycin administration is a problem that must be addressed. The efficacy of alternative antibiotics such as fidaxomicin, rifaximin, nitazoxanide, ramoplanin and tigecycline, as well as faecal microbiota transplantation has been assessed and some have yielded positive outcomes against C. difficile. Some bacteriocins have also shown promising effects against C. difficile in recent years. In light of this, the potential for emerging treatment options and efficacy of anti-C. difficile vaccines are discussed in this review.
A Parallel Low Complexity Zero-Forcing Beamformer Design for Multiuser MIMO Systems Via a Regularized Dual Decomposition Method

Zero-forcing beamforming under per-antenna power constraint (PAPC) is considered in this paper, and the objective is to maximize the minimum user information rate. A parallel low complexity zero-forcing beamformer design is proposed in this paper for MU-MIMO systems by introducing a regularized dual decomposition method. The idea of this method is to solve the problem via solving its dual problem. Since the dual objective is not differentiable, a Tikhonov regularization is introduced. The regularized problem can be solved by using a gradient-based method in a parallel manner. Moreover, the optimal solution of the Lagrangian is in a closed form. The smoothness properties of the regularized dual function are investigated. We also estimate the error bound between the optimal function value of the primal problem and that of the regularized dual problem. Corresponding convergence analysis and convergence rate of the proposed algorithm are established. Computational complexity analysis is carried out to compare the complexity of the proposed method with that of state-of-the-art interior point method. Simulation results are provided to show the effectiveness of the proposed method.
Title Draft genome sequence of Halorubrum tropicale strain V 5 , a novel halophilic archaeon isolated from the solar salterns of Cabo Rojo , Puerto

Article history: Received 2 February 2016 Accepted 5 February 2016 Available online 6 February 2016 The genusHalorubrum is amember of the familyHalobacteriaceaewhich currently has the highest number of described species (31) of all the haloarchaea. Here we report the draft genome sequence of strain V5, a new species within this genus that was isolated from the solar salterns of Cabo Rojo, Puerto Rico. Assembly was performed and rendered the genome into 17 contigs (N50 = 515,834 bp), the largest of which contains 1,031,026 bp. The genome consists of 3.57 MB in length with G + C content of 67.6%. In general, the genome includes 4 rRNAs, 52 tRNAs, and 3246 protein-coding sequences. The NCBI accession number for this genome is LIST00000000 and the strain deposit number is CECT9000. © 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
ANALYZING THE REGULATION , STABILITY AND FUNCTIONAL DIFFERENCES BETWEEN SIN 3 ISOFORMS IN DROSOPHILA by ASHLESHA CHAUBAL

ANALYZING THE REGULATION, STABILITY AND FUNCTIONAL DIFFERENCES BETWEEN THE SIN3 ISOFORMS IN DROSOPHILA by ASHLESHA CHAUBAL December 2017 Advisor: Dr. Lori A. Pile Major: Biological Sciences Degree: Doctor of Philosophy SIN3 is a global transcriptional regulator, conserved from yeast to mammals, that acts as a scaffold protein for a histone modifying complex. In Drosophila, a single Sin3A gene is alternatively spliced to produce distinct SIN3 isoforms; SIN3 220, SIN3 190 and SIN3 187, that differ only at their C-terminus. These isoforms are differentially expressed during development. We have shown that there is an interplay between the predominant isoforms of SIN3, SIN3 220 and SIN3 187, that possibly regulates the overall level of SIN3 in the cell. Exogenous expression of SIN3 187 reduces the level of transcript and accelerates the proteasomal degradation of endogenous SIN3 220. This feedback can possibly ensure that the appropriate isoform is present during the correct developmental stage during embryogenesis. Differential expression of the SIN3 isoforms during embryo development suggests that they perform unique and specialized functions. The SIN3 proteins form distinct isoform specific complexes. SIN3 187 interacts with a single catalytic enzyme, the HDAC RPD3, while SIN3 220 interacts with two enzymes, RPD3 and the HDM dKDM5/LID. This differential interaction of SIN3 isoforms with distinct
Neurological signs and pre- and post-traction low-field MRI findings in Dobermanns with disc-associated cervical spondylomyelopathy.

OBJECTIVE To investigate whether the presence of neurological signs and magnetic resonance imaging findings could predict the presence of a traction-responsive lesion in Dobermanns affected by disc-associated cervical spondylomyelopathy. METHODS Retrospective review of neurological signs and low-field pre- and post-traction magnetic resonance imaging abnormalities of the cervical spine (abnormal vertebral body shape and vertebral tipping, intervertebral disc degeneration, protrusion and ligamentum flavum hypertrophy) in Dobermanns with disc-associated cervical spondylomyelopathy. The main outcome of interest was response to linear traction (dynamic versus static) at C6-C7 intervertebral disc space. The association between investigated variables and response to linear traction was assessed. RESULTS The study included 25 dogs. No association was identified between neurological status grading and the presence of a static or traction-responsive lesion. Of the investigated magnetic resonance findings, C7-T1 intervertebral disc degeneration was significantly (P = 0 · 03) associated with the presence of a traction-responsive lesion at C6-C7 intervertebral disc space. CLINICAL SIGNIFICANCE The presence of C7-T1 intervertebral disc degeneration might help in predicting the presence of traction-responsive C6-C7 intervertebral disc lesions.
Interaction Between Income Convergence and The Expansion of Trade Flows Between Iran and The Selected Blocks

Interdependence among countries is an inevitable international reality in the present era and it is a growing phenomenon. The countries' trade activities affect on economic and non-economic affairs of neighbors and even distant countries. So for the peaceful coexistence, international sustainable development and tackling some international challenges, governments are compelled to adopt required decisions and reactions to develop trade flows. As stated in the study, the thematic realm of the research refers to the investigation of economic integration and income convergence. Constant development of international economic organizations, regional-economic unions, monetary unions, freedom in exchanging merchandises and transporting capitals and so on are all some showings of economic globalization. This fact has provoked countries to acquire a comprehensive knowledge about economic globalization and make appropriate decisions to exploit its advantages and decrease its disadvantages. Iran's economy can also examine the advantages and disadvantages of joining different preferred trade contracts. The statistical analysis and model investigation showed that population rate, economy size and manufacturing capacity of countries have positive effects on trade flows. Also the economic capacity and power of studied countries has a negative effect on decreasing the income gap among those countries that are trade partners, while population rate has a positive impact on the rate of income convergence (the decrease of income gap) between a pair of partners.
The Temporal Order of Genetic and Pathway Alterations in Tumorigenesis

Cancer evolves through the accumulation of mutations, but the order in which mutations occur is poorly understood. Inference of a temporal ordering on the level of genes is challenging because clinically and histologically identical tumors often have few mutated genes in common. This heterogeneity may at least in part be due to mutations in different genes having similar phenotypic effects by acting in the same functional pathway. We estimate the constraints on the order in which alterations accumulate during cancer progression from cross-sectional mutation data using a probabilistic graphical model termed Hidden Conjunctive Bayesian Network (H-CBN). The possible orders are analyzed on the level of genes and, after mapping genes to functional pathways, also on the pathway level. We find stronger evidence for pathway order constraints than for gene order constraints, indicating that temporal ordering results from selective pressure acting at the pathway level. The accumulation of changes in core pathways differs among cancer types, yet a common feature is that progression appears to begin with mutations in genes that regulate apoptosis pathways and to conclude with mutations in genes involved in invasion pathways. H-CBN models provide a quantitative and intuitive model of tumorigenesis showing that the genetic events can be linked to the phenotypic progression on the level of pathways.
Shrink boost for selecting multi-LBP histogram features in object detection

Feature selection from sparse and high dimension features using conventional greedy based boosting gives classifiers of poor generalization. We propose a novel “shrink boost” method to address this problem. It solves a sparse regularization problem with two iterative steps. First, a “boosting” step uses weighted training samples to learn a full high dimensional classifier on all features. This avoids over fitting to few features and improves generalization. Next, a “shrinkage” step shrinks least discriminative classifier dimension to zero to remove the redundant features. In our object detection system, we use “shrink boost” to select sparse features from histograms of local binary pattern (LBP) of multiple quantization and image channels to learn classifier of additive lookup tables (LUT). Our evaluation shows that our classifier has much better generalization than those from greedy based boosting and those from SVM methods, even under limited number of train samples. On public dataset of human detection and pedestrian detection, we achieve better performance than state of the arts. On our more challenging dataset of bird detection, we show promising results.
Position predictive control of an anthropomorphic robotic arm using a time-of-flight camera

This paper introduces a predictive control strategy for visual servoing an anthropomorphic robotic arm in an object tracking task. Robot workspace constraints and the target location are addressed through a time-of-flight camera. We present a methodology to process the vision information to explicitly identify and remove obstacles and objects from the point cloud. Later, this information is used by a predictive-control strategy, achieving convergence during the robotic arm motion and avoiding obstacles that are included in the cost function as constraints. The proposal validation was successfully tested on a real robotic set-up.
Distributed Transfer Learning for Deep Convolutional Neural Networks by Basic Probability Assignment

Transfer learning is a popular practice in deep neural networks, but fine-tuning of a large number of parameters is a hard challenge due to the complex wiring of neurons between splitting layers and imbalance class distributions of original and transferred domains. Recent advances in evidence theory show that in an imbalance multiclass learning problem, optimizing of proper objective functions based on contingency tables prevents biases towards high-prior classes. Transfer learning usually deals with highly non-convex objectives and local minima in deep neural architectures. We propose a novel distributed transfer learning to tackle both optimization complexity and class-imbalance problem jointly. Our solution imposes separated greedy regularization to each individual convolutional filter to make single-filter neural networks such that the minority classes perform as the majority ones. Then, basic probability assignment from evidence theory boosts these distributed networks to improve the recognition performance on the target domains. Our experiments on several standard datasets confirm the consistent improvement as a result of our distributed transfer learning strategy.
WASTEWATER TREATMENT SYSTEMS : A REVIEW

Effluents from biological processes contain a wide range of complex organic compounds, including soluble microbial products (SMP) and extracellular polymers (ECP), released during bacteria metabolism in mixed culture in bioreactors. It is important to clearly identify the primary components of SMPs and ECPs in order to understand the fundamental mechanisms of biological activity that create these compounds, and how to reduce these compounds in the effluent. In addition, these compounds constitute the main foulants in membrane bioreactors which are being used more widely around the world. A review on the extraction of ECP, characterization, and identification of SMPs and ECPs is presented, and
A note on the performance measure of conservation auctions

We argue that previous assessments of discriminatory-price conservation auctions may have systematically overestimated their performance relative to uniform-payment schemes due to an inappropriate counterfactual comparison. We demonstrate that the cost curve (and not the bid curve) is the relevant supply curve when a uniform payment is offered and provide a theoretically rigorous counterfactual based on that insight. We estimate that the performance of BushTender may have been overrated by more than 50%.
Tax Treatment of Bequests when Donor Benefits do not Count

Recent literature on bequest taxation has made a case for subsidizing bequests on efficiency grounds, with the rate of subsidy declining with the size of the bequest to equalize opportunities among inheritors. These results rely heavily on the fact that bequests benefit both the donor and the recipient, creating an externality that is not taken into account by donors. The double-counting of the benefits of bequests is questionable on normative grounds. We study the consequences for bequest taxation of not counting the benefit to donors. We analyze a simple model of parents and children with different skills where parents differ in their preferences for bequests. The government implements nonlinear income taxes on both parents and children as well as a linear bequest tax, and gives differential linear bequest tax credits to donor parents. The nonlinear income taxes take standard forms. The bequest tax and tax credits are of indeterminate absolute level. Bequest tax credit rates are positive and may be higher for high-wage parents.