Academic literature on the topic 'Bi-negativity'

This study was performed to determine the false negativity rates of ultrasonography with mammography in the assessment of women with palpable breast lumps. The relevant data on 202 female patients aged above 14 years of age, who had presented to our institution with a breast lump, had been retrospectively reviewed from our hospital database. Out of these, 155 patients for whom mammography with sonography imaging (MSI) was done were included in the study population. It consisted of tissue-positive cases, tissue-negative cases, and false-negative MSI confirmed on pathology. All cancer cases and false-negative cases using MSI were identified. Cancer rates, false-negative rates, and negative predictive values were calculated based on MSI breast imaging reporting and BI-RADS categories. Among patients who had undergone MSI, 73.55 % (114/155) of patients had BI-RADS 1–2. Despite a benign result, 10.5% (12/114) of them had gone ahead with a tissue diagnosis, whereas BI-RADS 4 and 5 had a 100% biopsy rate (28/28, 4/4, respectively). Out of the seventeen cancers detected in toto, only one belonged to BI-RADS 1–2. The false-negative rate of MSI (i.e., BI-RADS 1–2) was found to be 1.75% (1/114). As none of the remaining cases had progressed into malignancy post-follow-up (Median: 9 months, Range: 2 – 13 months), The negative predictive value (NPV) and cancer rate were estimated to be 99.12% and 0.88% respectively. Therefore, low false negativity and high negative predictive value of mammography with ultrasonography imaging for breast lumps were established.

AbstractEarly behaviors that differentiate later biomarkers for psychopathology can guide preventive efforts while also facilitating pathophysiological research. We tested whether error-related negativity (ERN) moderates the link between early behavior and later psychopathology in two early childhood phenotypes: behavioral inhibition and irritability. From ages 2 to 7 years, children (n = 291) were assessed longitudinally for behavioral inhibition (BI) and irritability. Behavioral inhibition was assessed via maternal report and behavioral responses to novelty. Childhood irritability was assessed using the Child Behavior Checklist. At age 12, an electroencephalogram (EEG) was recorded while children performed a flanker task to measure ERN, a neural indicator of error monitoring. Clinical assessments of anxiety and irritability were conducted using questionnaires (i.e., Screen for Child Anxiety Related Disorders and Affective Reactivity Index) and clinical interviews. Error monitoring interacted with early BI and early irritability to predict later psychopathology. Among children with high BI, an enhanced ERN predicted greater social anxiety at age 12. In contrast, children with high childhood irritability and blunted ERN predicted greater irritability at age 12. This converges with previous work and provides novel insight into the specificity of pathways associated with psychopathology.

In this paper, the authors propose a new approach to detect opinion by SentiWorNet with the introduction of the concept of fuzzy logic. In this vein, the authors will build detection system fuzzy opinion “Fuzzy Opinion.” To give flexibility to their system, they will use a threshold of opinion. The texts are represented by a vector of word (bag of words) which will be reduced to vector the word bearer opinion by filtering with SentiWordNet. Consequently, the heart of their approach is to associate each text into two scores (bi- scoring): Sp represents the positivity of text and Sn represents the negativity of text; this is the stage of Fuzzification. To identify opinion of a text and to ensure flexibility, the authors have used a threshold of opinion. Further, they have adapted the defuzzification step for identifying opinion. Finally, they compared the results of this approach with the results of the same approach without fuzzy logic in using the same corpus.

In an optomechanical system consisting of two Fabry–Pérot cavities fed by squeezed light and coupled via Coulomb interaction, we respectively use the logarithmic negativity, Gaussian discord and Gaussian coherence to analyze the behavior of three different indicators of nonclassicality, namely the entanglement, quantum discord and quantum coherence. We perform the rotating wave approximation and work in the resolved sideband regime. In two bi-mode states (optical and mechanical), the coherence is generally found to be greater than entanglement and discord. More interestingly, we show that the Coulomb interaction can be used either to degrade or enhance the nonclassical properties of the optical subsystem. In addition, compared with the discord and coherence, the mechanical entanglement is found strongly sensitive to both thermal and Coulomb effects, and it requires a minimum value of cooperativity to be generated. Remarkably, this minimum increases when increasing the Coulomb coupling strength. Finally, we notice that an optimal transfer of quantum correlations between the optical and mechanical subsystems is achieved in the absence of the Coulomb interaction.

Most previous research has focused on the relationships between specific personality traits and specific facets of mental health. However, in reality most of the Big Five are associated at non–trivial levels with mental health. To account for this broad correlation, we proposed the ‘barometer hypothesis’, positing that behind both ratings of mental health and personality lies a barometer that indicates one's general feelings of positivity or negativity. To the extent that both the general factors of personality and mental health reflect this same barometer, we would expect them to be correlated. We tested alternative models using data from a large longitudinal panel study that includes two cohorts of participants who were assessed every two years, resulting in parallel 4–year longitudinal studies. Similar results were obtained across both studies. Supporting the ‘barometer hypothesis’, findings revealed that the optimal model included general latent factors for both personality traits and mental health. Compared to the broad raw pairwise correlations, the bi–factor latent change models revealed that the relation among levels and changes in the specific factors were substantially reduced when controlling for the general factors. Still, some relations remained relatively unaffected by the inclusion of the general factor. We discuss implications of these findings. Copyright © 2016 European Association of Personality Psychology

A better understanding of animal emotion is an important goal in disciplines ranging from neuroscience to animal welfare science. The conscious experience of emotion cannot be assessed directly, but neural, behavioural and physiological indicators of emotion can be measured. Researchers have used these measures to characterize how animals respond to situations assumed to induce discrete emotional states (e.g. fear). While advancing our understanding of specific emotions, this discrete emotion approach lacks an overarching framework that can incorporate and integrate the wide range of possible emotional states. Dimensional approaches that conceptualize emotions in terms of universal core affective characteristics (e.g. valence (positivity versus negativity) and arousal) can provide such a framework. Here, we bring together discrete and dimensional approaches to: (i) offer a structure for integrating different discrete emotions that provides a functional perspective on the adaptive value of emotional states, (ii) suggest how long-term mood states arise from short-term discrete emotions, how they also influence these discrete emotions through a bi-directional relationship and how they may function to guide decision-making, and (iii) generate novel hypothesis-driven measures of animal emotion and mood.

In this paper, a modified Leslie–Gower predator-prey model with Beddington–DeAngelis functional response and double Allee effect in the growth rate of a predator population is proposed. In order to consider memory effect on the proposed model, we employ the Caputo fractional-order derivative. We investigate the dynamic behaviors of the proposed model for both strong and weak Allee effect cases. The existence, uniqueness, non-negativity, and boundedness of the solution are discussed. Then, we determine the existing condition and local stability analysis of all possible equilibrium points. Necessary conditions for the existence of the Hopf bifurcation driven by the order of the fractional derivative are also determined analytically. Furthermore, by choosing a suitable Lyapunov function, we derive the sufficient conditions to ensure the global asymptotic stability for the predator extinction point for the strong Allee effect case as well as for the prey extinction point and the interior point for the weak Allee effect case. Finally, numerical simulations are shown to confirm the theoretical results and can explore more dynamical behaviors of the system, such as the bi-stability and forward bifurcation.

INTRODUCTION. Bortezomib, lenalidomide and dexamethasone (VRd) is considered a standard of care combination therapy for newly diagnosed multiple myeloma patients. Prior studies show that ~25% of patients treated with 8 cycles of VRd achieve minimal residual disease (MRD) negativity. Recently, 42% stringent complete response (sCR) rates were reported with the use of VRd combined with the CD38-targeted monoclonal antibody daratumumab (VRd-D). Prior studies using 8 cycles of bi-weekly carfilzomib 36 mg/m2 with lenalidomide and dexamethasone (bKRd) combination therapy in newly diagnosed multiple myeloma show ~40% MRD negativity rates. We were motivated to develop a phase 2 study (total N=82) using weekly dosing of carfilzomib 56 mg/m2 with lenalidomide and dexamethasone (wKRd) in combination with daratumumab (wKRd-D). Our study also included a parallel cohort of bi-weekly dosing of carfilzomib 36 mg/m2 with lenalidomide and dexamethasone (bKRd) in combination with daratumumab (bKRd-D). Primary end-point of our study was to rule out 60% and to target up to 80% MRD negativity rate. METHODS. This is a two-arm, Phase II clinical trial based on Simon's optimal two-stage design. The once-a-week carfilzomib (wKRd) (N=41) has the following treatment schedule: 8 cycles of treatment; 28-day cycles with carfilzomib 20/56 mg/m2 days 1, 8, and 15; lenalidomide 25 mg days 1-21; dexamethasone 40 mg weekly cycles 1-4, 20 mg after cycle 4; and daratumumab 16 mg/kg days 1, 8, 15, and 22 cycles 1-2, days 1 and 15 cycles 3-6, and day 1 cycles 7-8. The bi-weekly carfilzomib (bKRd) (N=41): 8 cycles of treatment; 28-day cycles with carfilzomib 20/36 mg/m2 days 1, 2, 8, 9, 15 and 16; lenalidomide, dexamethasone, and daratumumab are given at the same doses/schedules as the weekly cohort. For fit patients, stem cell collection is recommended after 4 to 6 cycles of therapy; DKRd therapy is resumed after collection to a total of 8 cycles DKRd. Treatment response is being assessed with parallel bone marrow-based MRD assays (10-color single tube flowcytometry and invivoscribe IGHV sequencing); per IMWG guidelines both MRD assays allow detection of 1 myeloma cell in 100,000 bone marrow cells (10^-5). Baseline bone marrow samples are evaluated with targeted DNA sequencing for FISH-Seq and somatic mutational characteristics (myTYPE). RESULTS. The first stage of the weekly cohort (wKRd-D) is fully enrolled (N=28) and the second stage of the cohort (N=13) is anticipated to complete enrollment shortly (total N=41). Currently, 29 patients meeting eligibility criteria were enrolled (14 males, 15 females) between October 2018 and August 2019. Baseline characteristics include; median age 59 years (range 36-70 years); 12 (41%) patients had high-risk FISH/SNP signature defined as one or more of the following: 1q+, t(4;14), t(14;16), t(14;20), and 17p-. At the submission of this abstract, 28 patients have completed one or more cycles wKRd-D; among these, 10 patients have completed therapy. The median number of cycles delivered is currently 6 (range 1-8). Seven of the 10 patients who have completed study treatment are MRD negative. So far, additional 8 patients have become MRD negative while on therapy. Thus, among patients treated on the weekly cohort (wKRd-D) and who were evaluable for the MRD primary end-point at this analysis, we found 15/18 (83%) to be MRD negative. We further show no added major clinical toxicities with wKRd-D compared to our institution standard of care bKRd. The bi-weekly carfilzomib cohort (bKRd-D) shows similar results to the weekly cohort (wKRd-D). With a comparable efficacy and safety profile coupled with a substantial reduction of the number of infusions (total of 51 vs 27 infusions with bKRd-D vs wKRd-D, respectively), we conclude that the weekly dosing (wKRd-D) may offer an attractive treatment modality for newly diagnosed multiple myeloma patients. CONCLUSIONS. Among patients evaluable for the MRD primary end-point, in the absence of an autologous bone marrow transplant, we show an unprecedented 15/18 (83%) MRD negativity rate among newly diagnosed multiple myeloma patients treated on the weekly cohort (wKRd-D) using carfilzomib 56 mg/m2 dosing. Our promising results have prompted the development of a large randomized multi-center study ("ADVANCE") evaluating wKRd-D in relation to established standard of care, which is anticipated to start enrollment in Q3/Q4 of 2019. Disclosures Landgren: Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Other: IDMC; Theradex: Other: IDMC; Abbvie: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees. Lesokhin:GenMab: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Research Funding; Juno: Consultancy, Honoraria; Janssen: Research Funding; Genentech: Research Funding; Takeda: Consultancy, Honoraria; Serametrix Inc.: Patents & Royalties. Mailankody:Juno: Research Funding; Celgene: Research Funding; Janssen: Research Funding; Takeda Oncology: Research Funding; CME activity by Physician Education Resource: Honoraria. Hassoun:Novartis: Consultancy; Celgene: Research Funding; Janssen: Research Funding. Smith:Fate Therapeutics and Precision Biosciences: Consultancy; Celgene: Consultancy, Patents & Royalties, Research Funding. Shah:Physicians' Education Resource: Honoraria. Landau:Caelum: Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Research Funding; Karyopharm: Consultancy, Honoraria; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Prothena: Membership on an entity's Board of Directors or advisory committees. Scordo:Angiocrine Bioscience, Inc.: Consultancy; McKinsey & Company: Consultancy. Arcila:Invivoscribe, Inc.: Consultancy, Honoraria. Ho:Invivoscribe, Inc.: Honoraria. Roshal:Auron Therapeutics: Equity Ownership, Other: Provision of services; Physicians' Education Resource: Other: Provision of services; Celgene: Other: Provision of Services. Dogan:Corvus Pharmaceuticals: Consultancy; Seattle Genetics: Consultancy; Celgene: Consultancy; Takeda: Consultancy; Novartis: Consultancy; Roche: Consultancy, Research Funding. OffLabel Disclosure: Dara-KRd is not an FDA approved combination therapy for newly diagnosed multiple myeloma.

Bisexual individuals experience negativity toward their identities from heterosexual as well as gay and lesbian individuals. While there is a large body of research on the negative mental health consequences due to bi-negativity among individuals who identify as bisexual, little research exists exploring the relational impacts of bi-negativity. Informed by symbolic interaction theory and minority stress theory, this study investigated the impacts of attitudes regarding bisexuality on relationship satisfaction in female same-gender couples with at least one bisexual-identified individual through the following research questions: (a) How, if at all, do the attitudes toward bisexuality of individual partners influence perceptions of relationship satisfaction? and (b) How do partners negotiate the influence of attitudes toward bisexuality on their relationship? To address these questions, data from semi-structured interviews of eight female same-gender couples were analyzed using constructivist grounded theory methodology. Findings indicated that couples moved through a process of the following: pre-relationship factors, relationship formation, relational emotion work, and shared relational meaning. Couples additionally are influenced in each phase of the process by macrosystemic oppressions. Clinical implications to assist mental health professionals better serve these couples were determined.
Doctor of Philosophy
Bisexual individuals experience negativity toward their identities from heterosexual as well as gay and lesbian individuals. While there is a large body of research on the negative mental health consequences due to bi-negativity among individuals who identify as bisexual, more research is need on the relational impacts of bi-negativity. Informed by symbolic interaction theory and minority stress theory, this study investigated the impact of attitudes regarding bisexuality on relationship satisfaction in female same-gender couples with at least one bisexual-identified individual. Eight couples were interviewed, and data was analyzed using constructivist grounded theory methodology. Findings indicated that couples moved through a process of the following: pre-relationship factors, relationship formation, relational emotion work, and shared relational meaning. Couples additionally are influenced in each phase of the process by macrosystemic oppressions. Clinical implications to assist mental health professionals better serve these couples were determined.

In this paper, the authors propose a new approach to detect opinion by SentiWorNet with the introduction of the concept of fuzzy logic. In this vein, the authors will build detection system fuzzy opinion “Fuzzy Opinion.” To give flexibility to their system, they will use a threshold of opinion. The texts are represented by a vector of word (bag of words) which will be reduced to vector the word bearer opinion by filtering with SentiWordNet. Consequently, the heart of their approach is to associate each text into two scores (bi- scoring): Sp represents the positivity of text and Sn represents the negativity of text; this is the stage of Fuzzification. To identify opinion of a text and to ensure flexibility, the authors have used a threshold of opinion. Further, they have adapted the defuzzification step for identifying opinion. Finally, they compared the results of this approach with the results of the same approach without fuzzy logic in using the same corpus.