Miracle-dz/UniFAR-FTUs huggingface dataset:
The State of the Art of the DSM-5 “with Mixed Features” Specifier

The new DSM-5 “with mixed features” specifier (MFS) has renewed the interest of the scientific community in mixed states, leading not only to new clinical studies but also to new criticisms of the current nosology. Consequently, in our paper we have reviewed the latest literature, trying to understand the reactions of psychiatrists to the new nosology and its epidemiological, prognostic, and clinical consequences. It seems that the most widespread major criticism is the exclusion from the DSM-5 MFS of overlapping symptoms (such as psychomotor agitation, irritability, and distractibility), with a consequent reduction in diagnostic power. On the other hand, undoubtedly the new DSM-5 classification has helped to identify more patients suffering from a mixed state by broadening the narrow DSM-IV-TR criteria. As for the clinical presentation, the epidemiological data, and the therapeutic outcomes, the latest literature does not point out a univocal point of view and further research is needed to fully assess the implications of the new DSM-5 MFS. It is our view that a diagnostic category should be preferred to a specifier and mixed states should be better considered as a spectrum of states, according to what was stated many years ago by Kraepelin.
A Search for the Optical Counterpart of the Luminous X-Ray Source in NGC 6652

We examine images of the field of X1832-330, the luminous (LX ∼ 1036 ergs s-1) X-ray burst source near the center of the globular cluster NGC 6652, in order to identify the optical counterpart for further study. U and B ground-based images allow us to set a limit M ≳ 3.5 for the counterpart at the time of those observations, provided that the color is (U - B)0 ∼ -1, similar to the sources known in other clusters. Archival Hubble Space Telescope observations survey most, but not all, of the 1 σ X-ray error circle and allow us to set limits M > 5.9 and M > 5.2 in the Wide Field Planetary Camera 1 (WF/PC-1) and Wide Field Planetary Camera 2 (WFPC2) regions, respectively. In the WF/PC-1 images we do weakly detect a faint object with UV excess, but it is located 11. ″7 from the ROSAT X-ray position. This considerable (2.3 σ) discrepancy in position suggests that this candidate be treated with caution, but it remains the only reasonable one advanced thus far. We measure for this star m439 = 20.2 ± 0.2 and m336 - m439 = -0.5 ± 0.2 and estimate M = 5.5 and (U - B)0 = -0.9, similar to other known optical counterparts. If this candidate is not the identification, our limits imply that the true counterpart, not yet identified, is probably the optically faintest cluster source yet known or, alternatively, that it did not show significant UV excess at the time of these observations. Finally, we assess the outlook for the identification of the remaining luminous globular cluster X-ray sources.
Cracking the cultural code

The growth of Indian Information Technology (IT) sector has resulted in many Indian IT expatriates conducting projects at international client sites. Yet little is known about the sociocultural communication challenges these expatriates encounter. Adopting a qualitative, interpretive approach, semi-structured interviews were conducted with 47 Indian IT expatriates at client sites in Australia. The cultural validation and sociocultural competencies framework of the Excellence in Cultural Experiential Learning and Leadership Intercultural Skills Program was used to analyse expatriates’ workplace interactions. Respondents reported a lack of understanding of the ‘unwritten’ sociocultural communication rules in Australia. Communication differences contributed to their frustrations and dissatisfaction during expatriation. Insights into Indian IT expatriates’ experiences of negotiating communication competencies abroad can inform cross-cultural management scholarship and cross-cultural training. Making cultural norms explicit by embedding a cultural learning framework in cross-cultural training programs can contribute to productive, culturally diverse workplaces. The findings may provide fresh perspectives for organizations who prepare or receive expatriates, especially Indian professionals on assignment in Australia or other western countries.
Novel HER3/MUC4 oncogenic signaling aggravates the tumorigenic phenotypes of pancreatic cancer cells

Several studies have demonstrated that MUC4 is involved in progression and metastasis of pancreatic cancer (PC). Here, we report that HER3/MUC4 interaction in HER2 low cells is critical in driving pancreatic tumorigenesis. Upon HER2 knockdown, we observed elevated expression of HER3 and MUC4 and their interactions, which was confirmed by immunoprecipitation and bioinformatics analyses. In paired human PC tissues, higher percentage of HER3 positivity (10/33, 30.3%; p = 0.001) was observed than HER2 (5/33, 15.1%; p = 0.031), which was further confirmed in spontaneous mice (KPC; KrasG12D; Trp53R172H/+; Pdx-Cre) tumors of different weeks. Mechanistically, increased phosphorylation of ERK and expression of PI3K and c-Myc were observed in HER2 knockdown cells, suggesting a positive role for HER3/MUC4 in HER2 low cells. Further, HER2 knockdown resulted in increased proliferation, motility and tumorigenicity of PC cells. Consistently, transient knockdown of HER3 by siRNA in HER2 knockdown cells led to decreased proliferation. These observations led us to conclude that HER3 interacts with MUC4 to promote proliferation in HER2 low PC cells. Further, deficiency of both HER2 and HER3 leads to decreased proliferation of PC cells. Hence targeting these newly identified HER3/MUC4 signals would improve the PC patients survival by intercepting MUC4 mediated oncogenic signaling.
A variable-length category-based n-gram language model

A language model based on word-category n-grams and ambiguous category membership with n increased selectively to trade compactness for performance is presented. The use of categories leads intrinsically to a compact model with the ability to generalise to unseen word sequences, and diminishes the sparseness of the training data, thereby making larger n feasible. The language model implicitly involves a statistical tagging operation, which may be used explicitly to assign category assignments to untagged text. Experiments on the LOB corpus show the optimal model-building strategy to yield improved results with respect to conventional n-gram methods, and when used as a tagger, the model is seen to perform well in relation to a standard benchmark.
Design & Analysis of Proximity Fed Circular Disk Patch Antenna

To have efficient communication microwave antennas play major role, keeping this in mind we have designed a new micro strip antenna using proximity feeding in the range of 5GHz. The new design has been validated and has proved to be better than other designs. The bandwidth has been in the satisfactory range and also gain. This paper focus on the bandwidth enhancement of micro strip circular patch antenna by introducing a slot in the ground plane of length 4mm and width 4mm on the ground plane. The proposed antenna is excited through the proximity coupled feed technique and the antenna design and parametric studies has been executed using IE3D software. The resonate frequency is 5GHz having gain 4dBi.However it has not affected any quality parameter of the antenna. The results of new design are in accordance to the theoretical expectations.
Approximate Nearest Neighbor under edit distance via product metrics

We present a data structure for the approximate nearest neighbor problem under edit metric (which is defined as the minimum number of insertions, deletions and character substitutions needed to transform one string into another). For any <i>l</i> ≥ 1 and a set of <i>n</i> strings of length <i>d</i>, the data structure reports a 3<sup><i>l</i></sup>-approximate Nearest Neighbor for any given query string <i>q</i> in <i>O</i>(<i>d</i>) time. The space requirement of this data structure is roughly <i>O</i>(<i>n</i><sup><i>d</i><sup>1/(<i>l</i>+1)</sup></sup>), i.e., strongly subexponential. To our knowledge, this is the first data structure for this problem with both <i>o</i>(<i>n</i>) query time and storage subexponential in <i>d</i>.
A Watt-Level Stacked-FET Linear Power Amplifier in Silicon-on-Insulator CMOS

A single-stage stacked field-effect transistor (FET) linear power amplifier (PA) is demonstrated using 0.28-¿m 2.5-V standard I/O FETs in a 0.13-¿m silicon-on-insulator (SOI) CMOS technology. To overcome the low breakdown voltage limit of MOSFETs, a stacked-FET structure is employed, where four transistors are connected in series so that their output voltage swings are added in phase. With a 6.5-V supply, the measured PA achieves a small-signal gain of 14.6 dB, a saturated output power of 32.4 dBm, and a maximum power-added efficiency (PAE) of 47% at 1.9 GHz. Using a reverse-link IS-95 code division multiple access modulated signal, the PA shows an average output power of up to 28.7 dBm with a PAE of 41.2% while meeting the adjacent channel power ratio requirement. Using an uplink wideband code division multiple access modulated signal, the PA shows an average output power of up to 29.4 dBm with a PAE of 41.4% while meeting the adjacent channel leakage ratio requirement. The stacked-FET PA is designed to withstand up to 9 V of supply voltage before reaching its breakdown limit. This is the first reported stacked-FET linear PA in submicrometer SOI CMOS technology that delivers watt-level output power in the gigahertz frequency range with efficiency and linearity performance comparable to those of GaAs-based PAs.
Weinstein's Diffraction Problem: Embedding Formula and Spectral Equation in Parabolic Approximation

A short-wave problem of reflection and radiation by an open end of a two-dimensional planar waveguide is studied. The incident mode is assumed to have frequency close to the cut-off. The problem is studied in the parabolic approximation. A recently developed approach based on the embedding formula and the “spectral” equation for the directivity of an edge Green's function is applied to the problem.
Drosophila Hephaestus/Polypyrimidine Tract Binding Protein Is Required for Dorso-Ventral Patterning and Regulation of Signalling between the Germline and Soma

In the Drosophila oocyte, gurken (grk) mRNA encodes a secreted TGF-α signal that specifies the future embryonic dorso-ventral axes by altering the fate of the surrounding epithelial follicle cells. We previously identified a number of RNA binding proteins that associate specifically with the 64 nucleotide grk localization signal, including the Drosophila orthologue of polypyrimidine tract-binding protein (PTB), Hephaestus (Heph). To test whether Heph is required for correct grk mRNA or protein function, we used immunoprecipitation to validate the association of Heph with grk mRNA and characterized the heph mutant phenotype. We found that Heph is a component of grk mRNP complexes but heph germline clones show that Heph is not required for grk mRNA localization. Instead, we identify a novel function for Heph in the germline and show that it is required for proper Grk protein localization. Furthermore, we show that Heph is required in the oocyte for the correct organization of the actin cytoskeleton and dorsal appendage morphogenesis. Our results highlight a requirement for an mRNA binding protein in the localization of Grk protein, which is independent of mRNA localization, and we propose that Heph is required in the germline for efficient Grk signalling to the somatic follicle cells during dorso-ventral patterning.
Occludin OCEL-domain interactions are required for maintenance and regulation of the tight junction barrier to macromolecular flux

Occludin loss enhances paracellular macromolecular permeability (radius up to ∼62.5 Å) and is necessary for TNF-induced barrier loss. The latter requires the C-terminal OCEL domain, which stabilizes tight junction–associated occludin and regulates trafficking. Thus OCEL-mediated interactions are critical regulators of macromolecular paracellular flux.
In Vivo Tracking of Transplanted Mononuclear Cells Using Manganese-Enhanced Magnetic Resonance Imaging (MEMRI)

Background Transplantation of mononuclear cells (MNCs) has previously been tested as a method to induce therapeutic angiogenesis to treat limb ischemia in clinical trials. Non-invasive high resolution imaging is required to track the cells and evaluate clinical relevance after cell transplantation. The hypothesis that MRI can provide in vivo detection and long-term observation of MNCs labeled with manganese contrast-agent was investigated in ischemic rat legs. Methods and Findings The Mn-labeled MNCs were evaluated using 7-tesla high-field magnetic resonance imaging (MRI). Intramuscular transplanted Mn-labeled MNCs were visualized with MRI for at least 7 and up to 21 days after transplantation in the ischemic leg. The distribution of Mn-labeled MNCs was similar to that of 111In-labeled MNCs measured with single-photon emission computed tomography (SPECT) and DiI-dyed MNCs with fluorescence microscopy. In addition, at 1–2 days after transplantation the volume of the site injected with intact Mn-labeled MNCs was significantly larger than that injected with dead MNCs, although the dead Mn-labeled MNCs were also found for approximately 2 weeks in the ischemic legs. The area covered by CD31-positive cells (as a marker of capillary endothelial cells) in the intact Mn-MNCs implanted site at 43 days was significantly larger than that at a site implanted with dead Mn-MNCs. Conclusions The present Mn-enhanced MRI method enabled visualization of the transplanted area with a 150–175 µm in-plane spatial resolution and allowed the migration of labeled-MNCs to be observed for long periods in the same subject. After further optimization, MRI-based Mn-enhanced cell-tracking could be a useful technique for evaluation of cell therapy both in research and clinical applications.
The Industrial Necessity of Leakage Current Verification Using Sm Doped Ceria Electrolytes in SOFCs and Future Applications

The use of Sm-doped Ceria electrolytes (SDC) in SOFCs (solid oxide fuel cells) lowers the open circuit voltage (OCV) below the Nernst voltage (Vth) obtained using Yttria-stabilized Zirconia (YSZ) electrolytes. The OCV is classically calculated with Wagner's equation. However, using the SDC electrolytes requires both qualitative and quantitative experimental verification of leakage currents. Furthermore, there are limitations in Wagner's equation, due to linear transport theory, when SDC electrolytes are used. The constant voltage loss without leakage current due to a mixed ionic and electronic conducting (MIEC) dense anode is proposed, and local equilibrium is considered to address the transition state during ion hopping. Only a carrier species having sufficient energy to overcome the activation energy can contribute to current conduction, which is described by a different constant in the definition of chemical potential and electrical potential. This difference explains results from the use of dense MIEC anodes. In this study, the industrial importance of this topic is discussed, and applications to future technologies are introduced.
CATENA: CAusal and TEmporal relation extraction from NAtural language texts

We present CATENA, a sieve-based system to perform temporal and causal relation extraction and classification from English texts, exploiting the interaction between the temporal and the causal model. We evaluate the performance of each sieve, showing that the rule-based, the machine-learned and the reasoning components all contribute to achieving state-of-the-art performance on TempEval-3 and TimeBank-Dense data. Although causal relations are much sparser than temporal ones, the architecture and the selected features are mostly suitable to serve both tasks. The effects of the interaction between the temporal and the causal components, although limited, yield promising results and confirm the tight connection between the temporal and the causal dimension of texts.
Quantization of Integrable Systems and Four Dimensional Gauge Theories

We study four dimensional N=2 supersymmetric gauge theory in the Omega-background with the two dimensional N=2 super-Poincare invariance. We explain how this gauge theory provides the quantization of the classical integrable system underlying the moduli space of vacua of the ordinary four dimensional N=2 theory. The epsilon-parameter of the Omega-background is identified with the Planck constant, the twisted chiral ring maps to quantum Hamiltonians, the supersymmetric vacua are identified with Bethe states of quantum integrable systems. This four dimensional gauge theory in its low energy description has two dimensional twisted superpotential which becomes the Yang-Yang function of the integrable system. We present the thermodynamic-Bethe-ansatz like formulae for these functions and for the spectra of commuting Hamiltonians following the direct computation in gauge theory. The general construction is illustrated at the examples of the many-body systems, such as the periodic Toda chain, the elliptic Calogero-Moser system, and their relativistic versions, for which we present a complete characterization of the L^2-spectrum. We very briefly discuss the quantization of Hitchin system.
Magnification endoscopy in esophageal squamous cell carcinoma: a review of the intrapapillary capillary loop classification

Recent developments in image-enhancement technology have enabled clear visualization of the microvascular structure of the esophageal mucosa. In particular, intrapapillary capillary loops (IPCLs) are observed as brown loops on magnification endoscopy with narrow-band imaging (NBI). IPCLs demonstrate characteristic morphological changes according to the structural irregularity of esophageal epithelium and cancer infiltration, summarized in the IPCL classification. In this review, the process from the first endoscopic description of IPCLs to the eventual development of the IPCL classification is described and discussed, particularly focusing on early stage squamous cell carcinoma of the esophagus.
Extrinsic Camera Calibration without a Direct View Using Spherical Mirror

We consider the problem of estimating the extrinsic parameters (pose) of a camera with respect to a reference 3D object without a direct view. Since the camera does not view the object directly, previous approaches have utilized reflections in a planar mirror to solve this problem. However, a planar mirror based approach requires a minimum of three reflections and has degenerate configurations where estimation fails. In this paper, we show that the pose can be obtained using a single reflection in a spherical mirror of known radius. This makes our approach simpler and easier in practice. In addition, unlike planar mirrors, the spherical mirror based approach does not have any degenerate configurations, leading to a robust algorithm. While a planar mirror reflection results in a virtual perspective camera, a spherical mirror reflection results in a non-perspective axial camera. The axial nature of rays allows us to compute the axis (direction of sphere center) and few pose parameters in a linear fashion. We then derive an analytical solution to obtain the distance to the sphere center and remaining pose parameters and show that it corresponds to solving a 16th degree equation. We present comparisons with a recent method that use planar mirrors and show that our approach recovers more accurate pose in the presence of noise. Extensive simulations and results on real data validate our algorithm.
Convolutional Codes and Frequency Responses

Abstract Frequency responses are introduced as objects that are much finer than transfer functions, and their investigation is carried out via convolutional codes. In particular, a canonical one-to-one correspondence is established between frequency responses and equivalence classes of AR-models. These new objects are important because the study of linear dynamical systems can to a great extent be reduced to the study of them.
A Selective Retraction-Based RRT Planner for Various Environments

We present a novel randomized path planner for rigid robots to efficiently handle various environments that have different characteristics. We first present a bridge line test that can identify narrow passage regions and then selectively performs an optimization-based retraction only at those regions. We also propose a noncolliding line test, which is a dual operator to the bridge line test, as a culling method to avoid generating samples near wide-open free spaces. These two line tests are performed with a small computational overhead. We have tested our method with different benchmarks that have varying amounts of narrow passages. Our method achieves up to several times improvements over prior RRT-based planners and consistently shows the best performance across all the tested benchmarks.
The Relative Effects of Meditation and Prayer on Test Performance

BACKGROUND • Past research shows that individual religiosity is positively correlated with academic achievement. • Research also shows that meditation increases focus and decreases test anxiety, which is negatively correlated with test performance. • Therefore, we were curious to see how meditation and prayer would affect test scores. • First we wanted to determine whether our results would be consistent with these findings. • In addition, we wanted to examine whether meditation or prayer was more effective in improving test performance. RESULTS • A One-Way ANOVA showed no effect of condition on test performance (F(2,70) = 0.373, p = 0.690, η2 = 0.11). • A Repeated Measures ANOVA revealed no significant interaction effect between condition and pre-test versus post-test score (F(2, 70) = 0.307, p =. 737, η2 = 0.009). • Additionally, there was no main effect for condition (F(2, 70) = 0.337, p =. 715, η2 = 0.10). • Finally, there was no main effect for pre-test versus post-test performance (F(2, 70) = 2.711, p =. 104, η2 = 0.037).
Assessing Teacher Wellness: Confirmatory Factor Analysis and Measurement Invariance of the Teacher Subjective Wellbeing Questionnaire

Previous research demonstrates that there is an association between effective teaching and teachers’ positive psychological functioning at work. The current study explores the factor structure of the Teacher Subjective Wellbeing Questionnaire (TSWQ), which is a brief measure of two key dimensions of teachers’ positive psychological functioning: school connectedness and teaching efficacy. Confirmatory factor analysis was conducted on TSWQ responses from a sample of 1,883 teachers across eight states, with results suggesting that the TSWQ is a structurally valid measure of its two purported teacher well-being constructs. Furthermore, measurement invariance analyses reveal that the factor structure of the TSWQ stays consistent across elementary, middle, and high school teachers. Taken together, findings from the current study further support the technical adequacy and, by extension, the applied use of the TSWQ in schools to screen for intervention, measure outcomes, and monitor progress.