Miracle-dz/UniFAR-FTUs huggingface dataset:
High voice pitch mitigates the aversiveness of antisocial cues in men's speech

Speech contains both explicit social information in semantic content and implicit cues to social behaviour and mate quality in voice pitch. Voice pitch has been demonstrated to have pervasive effects on social perceptions, but few studies have examined these perceptions in the context of meaningful speech. Here, we examined whether male voice pitch interacted with socially relevant cues in speech to influence listeners' perceptions of trustworthiness and attractiveness. We artificially manipulated men's voices to be higher and lower in pitch when speaking words that were either prosocial or antisocial in nature. In Study 1, we found that listeners perceived lower-pitched voices as more trustworthy and attractive in the context of prosocial words than in the context of antisocial words. In Study 2, we found evidence that suggests this effect was driven by stronger preferences for higher-pitched voices in the context of antisocial cues, as voice pitch preferences were not significantly different in the context of prosocial cues. These findings suggest that higher male voice pitch may ameliorate the negative effects of antisocial speech content and that listeners may be particularly avoidant of those who express multiple cues to antisociality across modalities.
Current strategies for integrative cartilage repair

ABSTRACT Osteoarthritis (OA) is a degenerative joint condition characterized by painful cartilage lesions that impair joint mobility. Current treatments such as lavage, microfracture, and osteochondral implantation fail to integrate newly formed tissue with host tissues and establish a stable transition to subchondral bone. Similarly, tissue-engineered grafts that facilitate cartilage and bone regeneration are challenged by how to integrate the graft seamlessly with surrounding host cartilage and/or bone. This review centers on current approaches to promote cartilage graft integration. It begins with an overview of articular cartilage structure and function, as well as degenerative changes to this relationship attributed to aging, disease, and trauma. A discussion of the current progress in integrative cartilage repair follows, focusing on graft or scaffold design strategies targeting cartilage–cartilage and/or cartilage–bone integration. It is emphasized that integrative repair is required to ensure long-term success of the cartilage graft and preserve the integrity of the newly engineered articular cartilage. Studies involving the use of enzymes, choice of cell source, biomaterial selection, growth factor incorporation, and stratified versus gradient scaffolds are therefore highlighted. Moreover, models that accurately evaluate the ability of cartilage grafts to enhance tissue integrity and prevent ectopic calcification are also discussed. A summary and future directions section concludes the review.
The Copenhagen Accord for limiting global warming: Criteria, constraints, and available avenues

At last, all the major emitters of greenhouse gases (GHGs) have agreed under the Copenhagen Accord that global average temperature increase should be kept below 2 °C. This study develops the criteria for limiting the warming below 2 °C, identifies the constraints imposed on policy makers, and explores available mitigation avenues. One important criterion is that the radiant energy added by human activities should not exceed 2.5 (range: 1.7–4) watts per square meter (Wm−2) of the Earth's surface. The blanket of man-made GHGs has already added 3 (range: 2.6–3.5) Wm−2. Even if GHG emissions peak in 2015, the radiant energy barrier will be exceeded by 100%, requiring simultaneous pursuit of three avenues: (i) reduce the rate of thickening of the blanket by stabilizing CO2 concentration below 441 ppm during this century (a massive decarbonization of the energy sector is necessary to accomplish this Herculean task), (ii) ensure that air pollution laws that reduce the masking effect of cooling aerosols be made radiant energy-neutral by reductions in black carbon and ozone, and (iii) thin the blanket by reducing emissions of short-lived GHGs. Methane and hydrofluorocarbons emerge as the prime targets. These actions, even if we are restricted to available technologies for avenues ii and iii, can reduce the probability of exceeding the 2 °C barrier before 2050 to less than 10%, and before 2100 to less than 50%. With such actions, the four decades we have until 2050 should be exploited to develop and scale-up revolutionary technologies to restrict the warming to less than 1.5 °C.
Dual-Band Dual-Polarized Circular Microstrip Patch Antenna with the Curved Slots on the Ground

A center-feed dual-band dual-polarized circular microstrip antenna employing the curved slots on the ground is proposed. The proposed antenna radiates ϕ-polarization by introducing 10 units of curved slots symmetrically on the ground and θ-polarization by the coaxial probe at the center. The measured results show that the proposed antenna provides two resonant bands, TM01 and TM02 modes, covering the frequency bands of the WLAN (2.4-2.484 GHz) with an omnidirectional right-handed circular polarized (RHCP) radiation pattern and the WiMAX (3.3-3.6 GHz) with an omnidirectional horizontal polarized radiation pattern, respectively. In addition, the effects of the unit number of the curved slots and the width of the slots on the frequency ratio of these two resonant frequencies are studied. Furthermore, for the low profile of 0. 056λ0 and good omnidirectional characteristic, the antenna is suitable for the modern multi-band wireless communication systems.
A Systematic Review of Interventions Addressing Adherence to Anti-Diabetic Medications in Patients with Type 2 Diabetes—Components of Interventions

Background Poor adherence to anti-diabetic medications contributes to suboptimal glycaemic control in patients with type 2 diabetes (T2D). A range of interventions have been developed to promote anti-diabetic medication adherence. However, there has been very little focus on the characteristics of these interventions and how effectively they address factors that predict non-adherence. In this systematic review we assessed the characteristics of interventions that aimed to promote adherence to anti-diabetic medications. Method Using appropriate search terms in Medline, Embase, CINAHL, International Pharmaceutical Abstracts (IPA), PUBmed, and PsychINFO (years 2000–2013), we identified 52 studies which met the inclusion criteria. Results Forty-nine studies consisted of patient-level interventions, two provider-level interventions, and one consisted of both. Interventions were classified as educational (n = 7), behavioural (n = 3), affective, economic (n = 3) or multifaceted (a combination of the above; n = 40). One study consisted of two interventions. The review found that multifaceted interventions, addressing several non-adherence factors, were comparatively more effective in improving medication adherence and glycaemic target in patients with T2D than single strategies. However, interventions with similar components and those addressing similar non-adherence factors demonstrated mixed results, making it difficult to conclude on effective intervention strategies to promote adherence. Educational strategies have remained the most popular intervention strategy, followed by behavioural, with affective components becoming more common in recent years. Most of the interventions addressed patient-related (n = 35), condition-related (n = 31), and therapy-related (n = 20) factors as defined by the World Health Organization, while fewer addressed health care system (n = 5) and socio-economic-related factors (n = 13). Conclusion There is a noticeable shift in the literature from using single to multifaceted intervention strategies addressing a range of factors impacting adherence to medications. However, research limitations, such as limited use of standardized methods and tools to measure adherence, lack of individually tailored adherence promoting strategies and variability in the interventions developed, reduce the ability to generalize the findings of the studies reviewed. Furthermore, this review highlights the need to develop multifaceted interventions which can be tailored to the individual patient’s needs over the duration of their diabetes management.
Computational Models in Social Neuroscience

The burgeoning field of social neuroscience aims to characterize the neural and psycho­ logical processes that are involved in suc­ cessfully navigating the social world. Building on a rich history of integrating the disciplines of social and cognitive psychol­ ogy, social neuroscience attempts to use methods from cognitive neuroscience to better understand how social cognitions are instantiated in the brain (Ochsner & Lieberman, 2001; Sarter, Berntson, & Cacioppo, 1996). Early pioneering efforts attempted to map brain regions to social processes by using social psychological experimental paradigms while participants underwent functional neuroimaging. How­ ever, this work has had limited success inte­ grating social processes into a broader processing stream that includes cognitive, perceptual, and motoric processes. Making these types of inferences requires formulat­ ing models that include multiple types of computations. The application of computational models has the potential to dramatically improve inferences in social neuroscience. A survey of members from two social neuroscience sci­ entific societies provided strong consensus that computational modeling is among the most promising approaches for progressing the field (Stanley & Adolphs, 2013). First, computational models provide a way to par­ simoniously represent how different social, affective, and cognitive processes might interact to produce behavior, simultane­ ously bridging different levels of analysis from molecular and cellular processes to systems and psychological level processes (Fox, Chang, Gorgolewski, & Yarkoni, 2014). Second, computational models force explicit formalization of a scientific hypothesis to make quantifiable predictions that can be tested and falsified. This is critical to evalu­ ating how well a model can account for a phenomenon while also comparing the pre­ dictions of competing models. Importantly, models can be compared not only by their ability to better account for behavior, but also by their capacity to explain neural pro­ cesses, which can substantially improve the model development and testing cycle. Finally, models can be combined, providing a prin­ cipled approach to developing a cumulative scientific understanding of how the brain operates. In this chapter, we review an emerging lit­ erature that uses computational models to study the psychological and brain processes involved in social learning and inferring others’ mental states. We focus specifically on reviewing literature that uses a rein­ forcement learning framework to under­ stand how people learn from interacting with others. 17
Endophytic Fungi—Alternative Sources of Cytotoxic Compounds: A Review

Cancer is a major cause of death worldwide, with an increasing number of cases being reported annually. The elevated rate of mortality necessitates a global challenge to explore newer sources of anticancer drugs. Recent advancements in cancer treatment involve the discovery and development of new and improved chemotherapeutics derived from natural or synthetic sources. Natural sources offer the potential of finding new structural classes with unique bioactivities for cancer therapy. Endophytic fungi represent a rich source of bioactive metabolites that can be manipulated to produce desirable novel analogs for chemotherapy. This review offers a current and integrative account of clinically used anticancer drugs such as taxol, podophyllotoxin, camptothecin, and vinca alkaloids in terms of their mechanism of action, isolation from endophytic fungi and their characterization, yield obtained, and fungal strain improvement strategies. It also covers recent literature on endophytic fungal metabolites from terrestrial, mangrove, and marine sources as potential anticancer agents and emphasizes the findings for cytotoxic bioactive compounds tested against specific cancer cell lines.
Gender Dysphoria in Adults: An Overview and Primer for Psychiatrists

Abstract Regardless of their area of specialization, adult psychiatrists are likely to encounter gender-variant patients; however, medical school curricula and psychiatric residency training programs devote little attention to their care. This article aims to assist adult psychiatrists who are not gender specialists in the delivery of respectful, clinically competent, and culturally attuned care to gender-variant patients, including those who identify as transgender or transsexual or meet criteria for the diagnosis of Gender Dysphoria (GD) as defined by The Diagnostic and Statistical Manual of Mental Disorders (5th edition). The article will also be helpful for other mental health professionals. The following areas are addressed: evolution of diagnostic nosology, epidemiology, gender development, and mental health assessment, differential diagnosis, treatment, and referral for gender-affirming somatic treatments of adults with GD.
Association between ERCC 2 rs 13181 and XRCC 2 rs 3218536 polymorphisms and the risk of ovarian cancer : a meta-analysis

This study is to evaluate the association between ERCC2 rs13181 and XRCC2 rs3218536 polymorphisms and ovarian cancer risk in diverse populations. We performed a meta-analysis of 14 case-control studies that included 3796 ovarian cancer cases and 7675 case-free controls. For the ERCC2 rs13181 polymorphism, no obvious associations were was observed in the overall comparison (KQ vs. KK: OR = 1.35, 95% CI 0.92-1.98, I2 = 63.5%, Pheterogeneity = 0.018; QQ vs. KK:OR = 1.92, 95% CI 1.00-3.68, I 2 = 64.7%, Pheterogeneity = 0.015; dominant model: OR = 1.40, 95% CI 0.97-2.01, I2 = 63.3%, Pheterogeneity = 0.018; and recessive model: OR = 1.32, 95% CI 0.79 -2.20, I 2 = 65.9%, Pheterogeneity = 0.012). When stratifying by ethnicity and source of control, still no obvious associations were found. For the XRCC2 rs3218536 polymorphism, however, when all studies were pooled into the meta-analysis, a significant association was found in heterozygous model (RH vs. RR: OR = 0.86, 95% CI 0.76-0.99, I2 = 38.6%, Pheterogeneity = 0.122), no obvious associations was observed in other model. When stratifying by source of control, a significantly reduced risk was found in population-based control (RH vs. RR: OR = 0.82, 95% CI 0.71-0.96, I2 = 22.9%, Pheterogeneity = 0.269; dominant model: OR = 0.81, 95% CI 0.69-0.96, I2 = 11.1%, Pheterogeneity = 0.343). In conclusion, the XRCC2 rs3218536 polymorphism could be an important risk factor for ovarian cancer.
Tagger: Practical PFC Deadlock Prevention in Data Center Networks

Remote direct memory access over converged Ethernet deployments is vulnerable to deadlocks induced by priority flow control. Prior solutions for deadlock prevention either require significant changes to routing protocols or require excessive buffers in the switches. In this paper, we propose Tagger, a scheme for deadlock prevention. It does not require any changes to the routing protocol and needs only modest buffers. Tagger is based on the insight that given a set of expected lossless routes, a simple tagging scheme can be developed to ensure that no deadlock will occur under any failure conditions. Packets that do not travel on these lossless routes may be dropped under extreme conditions. We design such a scheme, prove that it prevents deadlock, and implement it efficiently on commodity hardware.
The choice of stimulation strategy affects the ability to detect pure tone inter-aural time differences in children with early bilateral cochlear implantation

Abstract Objectives: To investigate if the interaural time difference (ITD) ability is dependent of stimulation strategy. To examine the correlation between ITD, interaural level differences (ILD) and the ability to localize different sounds. Methods: Thirty subjects aged 8–13 who were implanted bilaterally before 3 years of age were tested. Twenty of the subjects used processors programmed with fine structure (FS) strategy on both sides. ITD and ILD just noticeable difference (JND) of a 250 Hz pure tone was measured using their clinical processors. Furthermore, their ability to localize sound in the horizontal plane was measured using eye tracking. Results: Ten of the 20 subjects with FS obtained an ITD threshold compared to none in the group without FS (0/10). ILD JND was correlated to localization ability of the broadband (BB) sound. Mean absolute error of the localization of a low-frequency (LF) sound was larger than that of a BB sound. Conclusions: The ability to detect ITD was present only when the cochlear implant stimulation had FS. The LF sound was more difficult to localize than the BB sound and ITD ability of FS strategies did not affect the localization ability of either sound. A low ILD seems necessary to improve the localization ability.
An ambient temperature-stable antitoxin of nine co-formulated antibodies for botulism caused by serotypes A, B and E

Safe and effective antitoxins to treat and prevent botulism are needed for biodefense. We have developed recombinant antibody-based therapeutics for botulinum neurotoxin (BoNT) serotypes A, B, and E. The mechanism of action of this antitoxin requires that three mAbs bind one toxin molecule to achieve clearance. Here we present a co-formulation of an antitoxin to the three most important serotypes. Combining these antibodies obviates the need to identify the serotype causing intoxication prior to drug administration, which would facilitate administration. The lyophilized powder formulation contains nine mAbs, three mAbs for each of the three serotypes (A, B, E). The formulation was stored as a liquid and lyophilized powder for up to one year, and characterized by binding affinity and multiple physicochemical methods. No significant increase in soluble higher order aggregates, cleavage products, or change in charge isoforms was measured after storage as a lyophilized powder at 50°C for one year. Furthermore, toxin-domain binding ELISA data indicated that each of the individual antibodies in the lyophilized drug product showed essentially full binding capability to their respective toxin domains after being stored at 50°C for one year. Physicochemical characterization of the formulation demonstrated the nine individual mAbs were remarkably stable. This work demonstrates feasibility of lyophilized, oligoclonal antibody therapies for biodefense with ambient temperature stability, that would facilitate stockpiling, distribution, and administration.
Fundamental Limits to Near-Field Optical Response over Any Bandwidth

We develop an analytical framework to derive upper bounds to light--matter interactions in the optical near field, where applications ranging from spontaneous-emission amplification to greater-than-blackbody heat transfer show transformative potential. Our framework connects the classic complex-analytic properties of causal fields with newly developed energy-conservation principles, resulting in a new class of power--bandwidth limits. These limits demonstrate the possibility of orders-of-magnitude enhancement in near-field optical response with the right combination of material and geometry. At specific frequency and bandwidth combinations, the bounds can be closely approached by canonical plasmonic geometries, with the opportunity for new designs to emerge away from those frequency ranges. Embedded in the bounds is a material "figure of merit," which determines the maximum response of any material (metal/dielectric, bulk/2D, etc.), for any frequency and bandwidth. Our bounds on local density of states (LDOS) represent maximal spontaneous-emission enhancements, our bounds on cross density of states (CDOS) limit electromagnetic-field correlations, and our bounds on radiative heat transfer (RHT) represent the first such analytical rule, revealing fundamental limits relative to the classical Stefan--Boltzmann law.
Effect of seaweed extract of Sargassum vulgare on germination behavior of two bean cultivars (Phaseolus vulgaris L) under salt stress

Salt stress is a major adverse factor that can lower seed germination and seedlings growth, leading to reduced plant growth and ultimately lower crop productivity in arid and semi arid regions of the world. Bean (Phaseolus vulgaris L.) is an important crop occupying a large area in both Morocco and Tunisia, where salt stress is the most limiting factor. In the present investigation, an attempt has been made to study the effect of seaweed liquid extract (SWE) from Sargassum vulgare at different concentrations on seed germination and seedling growth of two bean cultivars (Phaseolus vulgaris L) under salt stress.
Principal component analysis for functional data on Riemannian manifolds and spheres

Functional data analysis on nonlinear manifolds has drawn recent interest. Sphere-valued functional data, which are encountered for example as movement trajectories on the surface of the earth, are an important special case. We consider an intrinsic principal component analysis for smooth Riemannian manifold-valued functional data and study its asymptotic properties. Riemannian functional principal component analysis (RFPCA) is carried out by first mapping the manifold-valued data through Riemannian logarithm maps to tangent spaces around the time-varying Frechet mean function, and then performing a classical multivariate functional principal component analysis on the linear tangent spaces. Representations of the Riemannian manifold-valued functions and the eigenfunctions on the original manifold are then obtained with exponential maps. The tangent-space approximation through functional principal component analysis is shown to be well-behaved in terms of controlling the residual variation if the Riemannian manifold has nonnegative curvature. Specifically, we derive a central limit theorem for the mean function, as well as root-$n$ uniform convergence rates for other model components, including the covariance function, eigenfunctions, and functional principal component scores. Our applications include a novel framework for the analysis of longitudinal compositional data, achieved by mapping longitudinal compositional data to trajectories on the sphere, illustrated with longitudinal fruit fly behavior patterns. RFPCA is shown to be superior in terms of trajectory recovery in comparison to an unrestricted functional principal component analysis in applications and simulations and is also found to produce principal component scores that are better predictors for classification compared to traditional functional functional principal component scores.
Moderating Influence of Gender on the Link of Spiritual and Emotional Intelligences with Mental Health among Adolescents

This study examined whether, Spiritual Intelligence (SI) and Emotional Intelligence (EI) can be considered as predictor for Mental Health (MH). Also, this study explored the moderating effects of gender on the link between SI and EI with MH among high school students. The participants in the study were 247 high school students, (124 male and 123 female, in the age range between 14-17 years old) at the Gorgan City, north of Iran. The research design was an ex post facto and tested the alternative hypotheses. Three valid and reliable instruments were used to assess SI, EI and MH. Descriptive statistics, multiple and moderated regression analysis were used to analyses the data. The result demonstrated that MH can be influence by SI and EI. In addition, the moderating effect of gender on the relationship of SI and EI with MH was not established.