Miracle-dz/UniFAR-FTUs huggingface dataset:
Dropping Networks for Transfer Learning

Many tasks in natural language understanding require learning relationships between two sequences for various tasks such as natural language inference, paraphrasing and entailment. These aforementioned tasks are similar in nature, yet they are often modeled individually. Knowledge transfer can be effective for closely related tasks. However, transferring all knowledge, some of which irrelevant for a target task, can lead to sub-optimal results due to \textit{negative} transfer. Hence, this paper focuses on the transferability of both instances and parameters across natural language understanding tasks by proposing an ensemble-based transfer learning method. \newline The primary contribution of this paper is the combination of both \textit{Dropout} and \textit{Bagging} for improved transferability in neural networks, referred to as \textit{Dropping} herein. We present a straightforward yet novel approach for incorporating source \textit{Dropping} Networks to a target task for few-shot learning that mitigates \textit{negative} transfer. This is achieved by using a decaying parameter chosen according to the slope changes of a smoothed spline error curve at sub-intervals during training. We compare the proposed approach against hard parameter sharing and soft parameter sharing transfer methods in the few-shot learning case. We also compare against models that are fully trained on the target task in the standard supervised learning setup. The aforementioned adjustment leads to improved transfer learning performance and comparable results to the current state of the art only using a fraction of the data from the target task.
Phylogenetic ANOVA: Group‐clade aggregation, biological challenges, and a refined permutation procedure

Phylogenetic regression is frequently used in macroevolutionary studies, and its statistical properties have been thoroughly investigated. By contrast, phylogenetic ANOVA has received relatively less attention, and the conditions leading to incorrect statistical and biological inferences when comparing multivariate phenotypes among groups remain underexplored. Here, we propose a refined method of randomizing residuals in a permutation procedure (RRPP) for evaluating phenotypic differences among groups while conditioning the data on the phylogeny. We show that RRPP displays appropriate statistical properties for both phylogenetic ANOVA and regression models, and for univariate and multivariate datasets. For ANOVA, we find that RRPP exhibits higher statistical power than methods utilizing phylogenetic simulation. Additionally, we investigate how group dispersion across the phylogeny affects inferences, and reveal that highly aggregated groups generate strong and significant correlations with the phylogeny, which reduce statistical power and subsequently affect biological interpretations. We discuss the broader implications of this phylogenetic group aggregation, and its relation to challenges encountered with other comparative methods where one or a few transitions in discrete traits are observed on the phylogeny. Finally, we recommend that phylogenetic comparative studies of continuous trait data use RRPP for assessing the significance of indicator variables as sources of trait variation.
Gibbs-preserving maps outperform thermal operations in the quantum regime

In this brief paper, we compare two frameworks for characterizing possible operations in quantum thermodynamics. One framework considers thermal operations—unitaries which conserve energy. The other framework considers all maps which preserve the Gibbs state at a given temperature. Thermal operations preserve the Gibbs state; hence a natural question which arises is whether the two frameworks are equivalent. Classically, this is true—Gibbs-preserving maps are no more powerful than thermal operations. Here, we show that this no longer holds in the quantum regime: a Gibbs-preserving map can generate coherent superpositions of energy levels while thermal operations cannot. This gap has an impact on clarifying a mathematical framework for quantum thermodynamics.
Safety and efficacy of noncardiac surgical procedures in the management of patients with trisomy 13: A single institution‐based detailed clinical observation

Intensive treatment including surgery for patients with trisomy 13 (T13) remains controversial. This study aimed to evaluate the safety and efficacy of noncardiac surgical intervention for T13 patients. Medical records of patients with karyotypically confirmed T13 treated in the neonatal intensive care unit in Nagano Children's Hospital from January 2000 to October 2016 were retrospectively reviewed, and data from patients who underwent noncardiac surgery were analyzed. Of the 20 patients with T13, 15 (75%) underwent a total of 31 surgical procedures comprising 15 types, including tracheostomy in 10 patients and gastrostomy in 4. Operative time, anesthesia time, and amount of bleeding are described for the first time in a group of children with T13. All the procedures were completed safely with no anesthetic complications or surgery‐related death. The overall rate of postoperative complications was 19.3%. Patients receiving tracheostomy had stable or improved respiratory condition. Six of them were discharged home and were alive at the time of this study. These results suggest at least short‐term safety and efficacy of major noncardiac surgical procedures, and long‐term efficacy of tracheostomy on survival or respiratory stabilization for home medical care of children with T13. Noncardiac surgical intervention is a reasonable choice for patients with T13.
Influences of Human Cognition and Visual Behavior on Password Strength during Picture Password Composition

Visual attention, search, processing and comprehension are important cognitive tasks during a graphical password composition activity. Aiming to shed light on whether individual differences on visual behavior affect the strength of the created passwords, we conducted an eye-tracking study (N=36), and adopted an accredited cognitive style theory to interpret the results. The analysis revealed that users with different cognitive styles followed different patterns of visual behavior which affected the strength of the created passwords. Motivated, by the results of the first study, we introduced adaptive characteristics to the user authentication mechanism, aiming to assist specific cognitive style user groups to create more secure passwords, and conducted a second study with a new sample (N=40) to test the adaptive characteristics. Results strengthen our assumptions that adaptive mechanisms based on users' differences in cognitive and visual behavior uncover a new perspective for improving the password's strength within graphical user authentication realms.
Transference patterns in the psychotherapy of personality disorders: empirical investigation

Background The concept of transference has broadened to a recognition that patients often express enduring relational patterns in the therapeutic relationship. Aims To examine the structure of patient relational patterns in psychotherapy and their relation with DSM–IV personality disorder symptoms. Method A random sample of psychologists and psychiatrists (n=181) completed a battery of instruments on a randomly selected patient in their care. Results Exploratory factor analysis identified five transference dimensions: angry/entitled, anxious/preoccupied, avoidant/counterdependent, secure/engaged and sexualised. These were associated in predictable ways with Axis II pathology; four mapped on to adult attachment styles. An aggregated portrait of transference patterns in narcissistic patients provided a clinically rich, empirically based description of transference processes that strongly resembled clinical theories. Conclusions The ways patients interact with their therapists can provide important data about their personality, attachment patterns and interpersonal functioning. These processes can be measured in clinically sophisticated and psychometrically sound ways. Such processes are relatively independent of clinicians' theoretical orientation.
A mixed-methods evaluation of a community pharmacy signposting service to a commercial weight-loss provider

Abstract Objective Community pharmacies could provide access for clients to commercial weight management organizations. We evaluated recruitment, referral and outcomes of adults provided with free vouchers by community pharmacies to attend Scottish Slimmers classes. Design Prospective cohort design with qualitative interviews with clients and pharmacy personnel. Scottish Slimmers collected weight and attendance data. Setting Pharmacies in Aberdeen City, Scotland. Subjects Clients aged ≥18 years with BMI≥30 kg/m2. Results Ten of twenty-three pharmacies were recruited; eight successfully recruited clients. Of 129 clients recruited, ninety-seven (75 %) attended at least one class and fifty-one (40 %) attended all twelve classes. At baseline, clients’ mean weight was 99·4 (sd 17·5) kg, mean BMI was 37·8 (sd 6·0) kg/m2. After 12 weeks, mean weight change was −3·7 % (last observation carried forward) or −2·8 % (baseline observation carried forward) for all ninety-seven clients. Client interviews indicated that many individuals would have not addressed their weight problems if this referral service had not been available. They had positive attitudes towards the pharmacy signposting service, attributed to the use of consultation rooms for privacy, receiving professional service from personnel and ongoing support and encouragement. The free provision of 12-week access facilitated participation. Service providers had positive attitudes and indicated their willingness to provide this service in future. Conclusions Community pharmacies could be used to increase access to weight management services, with pharmacy personnel providing additional support to clients. Future provision of pharmacy referral schemes should be evaluated on a larger scale with an economic evaluation.
Small animal fluorescence and bioluminescence tomography: a review of approaches, algorithms and technology update

Emerging fluorescence and bioluminescence tomography approaches have several common, yet several distinct features from established emission tomographies of PET and SPECT. Although both nuclear and optical imaging modalities involve counting of photons, nuclear imaging techniques collect the emitted high energy (100–511 keV) photons after radioactive decay of radionuclides while optical techniques count low-energy (1.5–4.1 eV) photons that are scattered and absorbed by tissues requiring models of light transport for quantitative image reconstruction. Fluorescence imaging has been recently translated into clinic demonstrating high sensitivity, modest tissue penetration depth, and fast, millisecond image acquisition times. As a consequence, the promise of quantitative optical tomography as a complement of small animal PET and SPECT remains high. In this review, we summarize the different instrumentation, methodological approaches and schema for inverse image reconstructions for optical tomography, including luminescence and fluorescence modalities, and comment on limitations and key technological advances needed for further discovery research and translation.
Emblic Leafflower (Phyllanthus emblica L.) Fruits Ameliorate Vascular Smooth Muscle Cell Dysfunction in Hyperglycemia: An Underlying Mechanism Involved in Ellagitannin Metabolite Urolithin A

Ellagitannins in Phyllanthus emblica L. (emblic leafflower fruits) have been thought of as the beneficial constituents for ameliorating endocrinal and metabolic diseases including diabetes. However, the effect of emblic leafflower fruits on diabetic vascular complications involved in ellagitannin-derived urolithin metabolites is still rare. In this study, acetylcholine-induced endothelium-independent relaxation in aortas was facilitated upon emblic leafflower fruit consumption in the single dose streptozotocin-induced hyperglycemic rats. Emblic leafflower fruit consumption also suppressed the phosphorylation of Akt (Thr308) in the hyperglycemic aortas. More importantly, urolithin A (UroA) and its derived phase II metabolites were identified as the metabolites upon emblic leafflower fruit consumption by HPLC-ESI-Q-TOF-MS. Moreover, UroA reduced the protein expressions of phosphor-Akt (Thr308) and β-catenin in a high glucose-induced A7r5 vascular smooth muscle cell proliferation model. Furthermore, accumulation of β-catenin protein and activation of Wnt signaling in LiCl-triggered A7r5 cells were also ameliorated by UroA treatment. In conclusion, our data demonstrate that emblic leafflower fruit consumption facilitates the vascular function in hyperglycemic rats by regulating Akt/β-catenin signaling, and the effects are potentially mediated by the ellagitannin metabolite urolithin A.
CheckMate: Exploring a Tangible Augmented Reality Interface for Remote Interaction

The digitalized world comes with increasing Internet capabilities, allowing to connect persons over distance easier than ever before. Video conferencing and similar online applications create great benefits bringing people who physically cannot spend as much time as they want virtually together. However, such remote experiences can also tend to lose the feeling of traditional experiences. People lack direct visual presence and no haptic feedback is available. In this paper, we tackle this problem by introducing our system called CheckMate. We combine Augmented Reality and capacitive 3D printed objects that can be sensed on an interactive surface to enable remote interaction while providing the same tangible experience as in co-located scenarios. As a proof-of-concept, we implemented a sample application based on the traditional chess game.
ORION’S BAR: PHYSICAL CONDITIONS ACROSS THE DEFINITIVE H+/H0/H2 INTERFACE

Previous work has shown the Orion Bar to be an interface between ionized and molecular gas, viewed roughly edge-on, which is excited by the light from the Trapezium cluster. Much of the emission from any star-forming region will originate from such interfaces, so the Bar serves as a foundation test of any emission model. Here we combine X-ray, optical, infrared (IR), and radio data sets to derive emission spectra along the transition from H+ to H0 to H2 regions. We then reproduce the spectra of these layers with a simulation that simultaneously accounts for the detailed microphysics of the gas, the grains, and molecules, especially H2 and CO. The magnetic field, observed to be the dominant pressure in another region of the Orion Nebula, is treated as a free parameter, along with the density of cosmic rays. Our model successfully accounts for the optical, IR, and radio observations across the Bar by including a significant magnetic pressure and also heating by an excess density of cosmic rays, which we suggest is due to cosmic rays being trapped in the compressed magnetic field. In the Orion Bar, as we had previously found in M17, momentum carried by radiation and winds from the newly formed stars pushes back and compresses the surrounding gas. There is a rough balance between outward momentum in starlight and the total pressure in atomic and molecular gas surrounding the H+ region. If the gas starts out with a weak magnetic field, the starlight from a newly formed cluster will push back the gas and compress the gas, magnetic field, and cosmic rays until magnetic pressure becomes an important factor.
Detection of Salmonella enteritidis Using a Miniature Optical Surface Plasmon Resonance Biosensor

The frequent outbreaks of foodborne illness demand rapid detection of foodborne pathogens. Unfortunately, conventional methods for pathogen detection and identification are labor-intensive and take days to complete. Biosensors have shown great potential for the rapid detection of foodborne pathogens. Surface plasmon resonance (SPR) sensors have been widely adapted as an analysis tool for the study of various biological binding reactions. SPR biosensors could detect antibody-antigen bindings on the sensor surface by measuring either a resonance angle or refractive index value. In this study, the feasibility of a miniature SPR sensor (Spreeta, TI, USA) for detection of Salmonella enteritidis has been evaluated. Anti-Salmonella antibodies were immobilized on the gold sensor surface by using neutravidin. Salmonella could be detected by the Spreeta biosensor at concentrations down to 105 cfu/ml.
Ecological relevance of minimum seasonal water potentials

doi: 10.1111/j.1399-3054.2006. 00718.x The minimum seasonal water potential a plant experiences, cmin, provides an important measure of plant water status, as it reflects the maximum water deficit that leaves and xylem must tolerate to maintain physiological activity. cmin also acts as a selective force on xylem structure which, in turn, generates correlations between cmin and numerous hydraulic traits. This review focuses on the ecological relevance of cmin as a reflection of overall plant hydraulic strategy. The focus is on plant functional strategies with respect to soil drought, but we conclude with preliminary findings on the role of atmospheric drought.
Expression of Duodenal Iron Transporter Proteins in Diabetic Patients with and without Iron Deficiency Anemia

The role of iron transport proteins in the pathogenesis of anemia in patients with diabetes mellitus (T2DM) is still unclear. We investigated the expression of duodenal transporter proteins in diabetic patients with and without iron deficiency anemia (IDA). Methods. Overall, 39 patients were included: 16 with T2DM and IDA (group A), 11 with T2DM without IDA (group B), and 12 controls (group C). Duodenal mucosal expression of divalent metal transporter 1 (DMT1), ferroportin 1 (FPN), hephaestin (HEPH), and transferrin receptor 1 (TfR) was evaluated by Western blotting. Chronic disease activity markers were measured as well. Results. FPN expression was increased in group A compared to group B and controls: 1.17 (0.72–1.46), 0.76 (0.53–1.04), and 0.71 (0.64–0.86), respectively (p = 0.011). TfR levels were over expressed in groups A and B compared to controls: 0.39 (0.26–0.61), 0.36 (0.24–0.43), and 0.18 (0.16–0.24), respectively, (p = 0.004). The three groups did not differ significantly with regard to cellular HEPH and DMT1 expression. The normal CRP and serum ferritin levels, accompanied with normal FPN among diabetic patients without IDA, do not support the association of IDA with chronic inflammatory state. Conclusion. In patients with T2DM and IDA, duodenal iron transport protein expression might be dependent on body iron stores rather than by chronic inflammation or diabetes per se.
Numerical investigation on possibility of heat transfer enchancement using reduced weight fin configuration

ABSTRACT The heat transfer augmentation using extended surfaces (fins) is nothing new in the field of convective heat transfer, yet another milestone in this area is the usage of lesser weight porous fins to overcome the shortcoming of rigid fins in intrinsic passages. The present numerical analysis is focussed towards the heat transfer augmentation of concentric tube heat exchanger with the help of circumferentially attached porous fin. The analysis is aimed at predicting the effect of the following parameters fin height, spacing, conductivity and Darcy number (Da) on the non-dimensional convective heat transfer coefficient (Nu). Darcy's model is adopted for simulation and the finite volume method is adopted for discretisation. It is found that the permeability and height of the fin significantly affect the flow field. The heat transfer augmentation is inferred from the results and it is very high at large values of Da.
Knowledge, Attitudes and Practices of Caregivers in Relation to Oral Health of Preschool Children

Objective: To assess the knowledge, attitudes and practices of caregivers in Kuwait in relation to the oral health of preschool children. Subjects and Methods: Questionnaires with multiple-choice questions were distributed to 334 caregivers of children under the age of 6 years attending vaccination centers in Kuwait. For each question, one of the multiple-choice answers was consistent with the consensus in the pediatric dental literature in relation to early childhood caries prevention, and was considered to be correct. The χ2 test, independent t test, ANOVA, and stepwise linear regression were used to assess the associations between the variables in question and p ≤ 0.05 was accepted as statistically significant. Results: Of the 334 participants, 234 (70%) were between 20 and 40 years of age with a high school diploma or higher degree and had between 2 and 5 children. The mean knowledge score was 4.68 ± 1.87, the mean attitude score was 4.34 ± 0.88 and the mean practice score was 2.45 ± 0.99. Major weaknesses were reported in infant oral health-related concepts. Mothers had better knowledge than other caregivers (p < 0.001). Higher education was significantly associated with better knowledge (p = 0.003) and better practices (p = 0.017). In addition, knowledge, attitude and level of education were positively and significantly associated with practices (p < 0.005). Conclusions: Our study showed that caregivers had weak knowledge and practice in relation to the oral health of preschool children. Mothers and caregivers with higher education had better knowledge and practices. Education and attitude appeared to be favorable indicators of the caregivers’ practices with regard to the oral health of their preschool children.
Evaluating the Quality of Evidence from a Network Meta-Analysis

Systematic reviews that collate data about the relative effects of multiple interventions via network meta-analysis are highly informative for decision-making purposes. A network meta-analysis provides two types of findings for a specific outcome: the relative treatment effect for all pairwise comparisons, and a ranking of the treatments. It is important to consider the confidence with which these two types of results can enable clinicians, policy makers and patients to make informed decisions. We propose an approach to determining confidence in the output of a network meta-analysis. Our proposed approach is based on methodology developed by the Grading of Recommendations Assessment, Development and Evaluation (GRADE) Working Group for pairwise meta-analyses. The suggested framework for evaluating a network meta-analysis acknowledges (i) the key role of indirect comparisons (ii) the contributions of each piece of direct evidence to the network meta-analysis estimates of effect size; (iii) the importance of the transitivity assumption to the validity of network meta-analysis; and (iv) the possibility of disagreement between direct evidence and indirect evidence. We apply our proposed strategy to a systematic review comparing topical antibiotics without steroids for chronically discharging ears with underlying eardrum perforations. The proposed framework can be used to determine confidence in the results from a network meta-analysis. Judgements about evidence from a network meta-analysis can be different from those made about evidence from pairwise meta-analyses.