Miracle-dz/UniFAR-FTUs huggingface dataset:
[Experience of group art therapy with music improvisation in the integrated treatment at a psychiatric Day Hospital: preliminary results].

AIM The study aims at evaluating the resocializing effects of music therapy as add-on therapy in the course of integrated, pharmacological and psychological, treatment. METHODS During a six months period, 24 patients belonging to a psychiatric Day Hospital were recruited and divided into 2 groups. An accurate music anamnesis was collected for each patient. Group 1 (n=11) received as add-on therapy 14 improvisational music therapy sessions on a weekly basis, while group 2 (n=13) received 7 improvisational music therapy sessions alternated with 7 listening music therapy sessions, on a weekly basis. The response to music therapy was evaluated at the beginning and at the end of the add-on therapeutic process through a music therapy observation form consisting of 9 variables. RESULTS In both groups there was a good response from patients affected by mood disorders as well as obsessive-compulsive disorder, while schizophrenic patients response was either absent or reduced. The improvement of the variable interaction between the components, sharing of the instrument, facial expressions and tension was significantly higher in the group that received as add-on therapy both improvisational music therapy and listening music therapy. DISCUSSION AND CONCLUSIONS The findings suggest a significant role of the improvisational music therapy in gaining a re-socializing effect within a therapeutic group. The effectiveness turns out to be greater if the improvisation is combined with a listening therapy, aimed at educating the patient to a greater openness to the expressive aspect of sound. The active-passive music therapy association could then bring a valuable contribution as an add-on rehabilitative treatment.
The moderator effect of age in the association between mood and adiposity in the elderly is specific for the subcutaneous adipose compartment: An MRI study

The positive association between obesity and depressive mood in young‐ and middle‐age individuals is a phenomenon with major clinical implications in public health. Interestingly, the trend of this association in older individuals is not clear, given the conflicting results of multiple studies. Since aging is accompanied by changes in body fat distribution, we questioned whether age is a modulator of such association. This study explores the role of age in the association between mood and general (body mass index [BMI]) and abdominal adiposity (waist circumference [WC]) in older adults characterizing the different abdominal adipose tissue compartments (subcutaneous adipose tissue [SAT] and visceral adipose tissue [VAT]) with magnetic resonance imaging (MRI) techniques.
Biometrics of the primary dentition in a Nigerian sample

Objective: The purpose of this study was to determine normative values of crown dimensions, arch dimensions, and amount of interdental space in the primary dentition of Nigerian children. Method: Dental casts from alginate impressions obtained from 125 randomly selected nursery school children (65 boys, 60 girls) aged 3 to 5 years, were measured with electronic caliper. Independent tests were used to analyze sample differences between sexes. Result: There were significant gender differences in arch width, depth and length dimensions, with the exception of the left mandibular anterior length. The boys showed significantly larger mesiodistal crown dimensions, except in the maxillary and mandibular primary lateral incisors. Gender differences in buccolingual crown diameters were statistically significant for maxillary second primary molars. There was no significant gender difference in amount of interdental spaces. Conclusion: It can be concluded that males had larger tooth/arch dimensions than females in the primary dentition stage. Key words: Biometric, dental arch, primary dentition, Nigerian
EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH (CERN)

Results are presented on a search for CP violation in the production and decay of top quark-antiquark pairs in the lepton+jets channel. The search is based on data from proton-proton collisions at √ s = 13 TeV, collected with the CMS detector, corresponding to an integrated luminosity of 138 fb−1. Possible CP violation effects are evaluated by measuring uncorrected asymmetries in observables constructed from linearly independent four-momentum vectors of the final-state particles. The dimensionless chromoelectric dipole moment of the top quark obtained from the observed asymmetries is measured to be 0.04 ± 0.10 (stat) ± 0.07 (syst), and the asymmetries exhibit no evidence for CP-violating effects, consistent with expectations from the standard model. Submitted to the Journal of High Energy Physics © 2022 CERN for the benefit of the CMS Collaboration. CC-BY-4.0 license ar X iv :2 20 5. 02 31 4v 1 [ he pex ] 4 M ay 2 02 2
M N ] 2 1 D ec 2 00 7 A computational systems biology study of the λ-lac mutants

We present a comprehensive computational study of some 900 possible “λ-lac” mutants of the lysogeny maintenance switch in phage λ, of which up to date 19 have been studied experimentally (Atsumi & Little, PNAS 103: 4558-4563, (2006)). We clarify that these mutants realise regulatory schemes quite different from wild-type λ, and can therefore be expected to behave differently, within the conventional mechanistic setting in which this problem has often been framed. We verify that indeed, within this framework, across this wide selection of mutants the λ-lac mutants for the most part either have no stable lytic states, or should only be inducible with difficulty. In particular, the computational results contradicts the experimental finding that four λ-lac mutants both show stable lysogeny and are inducible. This work hence suggests either that the four out of 900 mutants are special, or that λ lysogeny and inducibility are holistic effects involving other molecular players or other mechanisms, or both. The approach illustrates the power and versatility of computational systems biology to systematically and quickly test a wide variety of examples and alternative hypotheses for future closer experimental studies.
Comment on "Novel Attractive Force between Ions in Quantum Plasmas"

In a recent Letter [1], Shukla and Eliasson reported a new attractive force between ions in degenerate quantum plasmas. This interesting result has potentially significant implications, as it can lead to formation of ion clusters in quantum plasmas, even at densities a few times below the solid density [2]. The suggested important consequence is the modification of the ignition criterion in the fast ignition schemes in inertial confinement fusion. It is not surprising that this result has already prompted a lively discussion in the literature [3, 4]. One of the reasons is that this prediction is a theoretical one, with no experimental verification done so far. Moreover, the generalized quantum hydrodynamical model used to obtain this result ignores some physics that, when taken into account, may significantly affect the predicted attractive force. Namely, this model, as any hydrodynamical model, completely misses kinetic effects, which in case of degenerate electrons are known to lead to the Kohn singularity in the dielectric response function, which in turn leads to Friedel oscillations in the potential of a charge screened by degenerate electrons [5, 6]. The depth of (at least some of) the potential wells associated with the Friedel oscillations could be comparable or even exceed the maximum depth of the potential well obtained within the generalized hydrodynamical model of Ref. [1], as the latter is rather shallow. It is thus important to compare the potentials produced by both models to establish whether and when the predicted attractive part of the Shukla-Eliasson’s (SE) screened ion potential is important relative to the attractive parts of such “Kohn” potential predicted by the kinetic model. The generalized quantum hydrodynamical model
Lived experiences of Ghanaian women diagnosed with HIV and AIDS

Living with HIV and AIDS is a recent worldwide phenomenon known to be a distressing condition causing disruptions in interpersonal relationships between women and their significant others, families and society. This study describes the meaning of living with HIV and AIDS for 16 HIV-positive women using a phenomenological qualitative method. In-depth interviews were conducted with purposively sampled HIV-positive women between March and December 2008. The purpose of the study was to investigate the lived experiences of HIV-positive women and consequently to develop, implement and evaluate a non-government organisation (NGO) based support framework to meet these needs. Tesch's data analysis approach was used to synthesise a description of the women's lived experiences. The findings revealed myths about methods of HIV transmission leading to negative public attitudes including stigmatisation, discrimination, humiliation, blame and rejection resulting in anxiety, suicidal ideations, low self esteem and sleeplessness. HIV-positive women's rights appeared to be often violated and legal aid services were inaccessible due to lack of privacy and confidentiality in court rooms. Parse's Theory of Human Becoming framed the researcher's theoretical perspective. The study concludes by emphasising the need for implementing HIV and AIDS anti-stigma programmes in Ghana.
Analysis of alveolar molding effects in infants with bilateral cleft lip and palate when treated with pre-surgical naso-alveolar molding appliance

본 연구의 목적은 1) 양측성 순구개열 신생아에 대한 수술전 비치조정형 장치 (Pre-surgical nasoalveolar molding appliance, PNAM) 치료를 소개하고, 2) 이 장치의 치조 골 조형 (molding) 효과를 평가하는 것이다. 서울대학교병원 교정과에 내원하여 PNAM 장치를 사용하여 치료받은 8명의 양측성 순구 개열 환자.
The Quality of Health Care Providers

Obtaining better information on the quality of health care providers is one of the most pressing issues in health policy today. In this paper we (1) develop a new method for measuring quality of care that overcomes the key limitations of available quality measures, and (2) apply this method to estimating the quality of hospital care for elderly patients with heart disease. Our approach optimally combines information from all available current and past quality indicators in order to more accurately estimate and forecast each provider's quality level. For patients with heart disease, the method is able to predict and forecast differences in patient outcomes across hospitals remarkably well - far better than existing methods. Our approach also provides an empirical basis for choosing among potential quality indicators. In particular, we find that differences across hospitals in short-term mortality rates following a heart attack, adjusted for patient demographics, are excellent indicators of quality of care: They vary dramatically across hospitals, are persistent over time, are highly correlated with alternative quality indicators, and are highly correlated with mortality rates that adjust more extensively for patient severity. Thus, comparing quality of care across providers may be far more feasible than many now believe.
Semantic Object Accuracy for Generative Text-to-Image Synthesis

Generative adversarial networks conditioned on textual image descriptions are capable of generating realistic-looking images. However, current methods still struggle to generate images based on complex image captions from a heterogeneous domain. Furthermore, quantitatively evaluating these text-to-image models is challenging, as most evaluation metrics only judge image quality but not the conformity between the image and its caption. To address these challenges we introduce a new model that explicitly models individual objects within an image and a new evaluation metric called Semantic Object Accuracy (SOA) that specifically evaluates images given an image caption. The SOA uses a pre-trained object detector to evaluate if a generated image contains objects that are mentioned in the image caption, e.g., whether an image generated from “a car driving down the street” contains a car. We perform a user study comparing several text-to-image models and show that our SOA metric ranks the models the same way as humans, whereas other metrics such as the Inception Score do not. Our evaluation also shows that models which explicitly model objects outperform models which only model global image characteristics.
Hydrodynamic excitations in hot QCD plasma

We study the long wavelength excitations in rotating QCD fluid in the presence of an external magnetic field at finite vector and axial charge densities. We consider the fluctuations of vector and axial charge currents coupled to energy and momentum fluctuations and compute the SO(3) covariant dispersion relations of the six corresponding hydrodynamic modes. Among them, there are always two scalar chiralmagnetic- vortical-heat (CMVH) waves; in the absence of a magnetic field (vorticity) these waves reduce to chiral-vortical-heat (CVH) [chiral-magnetic-heat (CMH)] waves. While CMVH waves are a mixture of CMH and CVH waves, they have generally different velocities compared to the sum of velocities of the latter waves. The other four modes, which are made out of scalar-vector fluctuations, are mixed soundAlfven waves. We show that when the magnetic field is parallel with the vorticity, these four modes are the two ordinary sound modes together with two chiral Alfven waves propagating along the common direction of the magnetic field and vorticity.
Thermal State of the Intergalactic Medium at z ∼ 2–4

We present a new method to infer parameters of the temperature–density relation in the intergalactic medium in the post-reionization epoch at z ∼ 2–4. This method is based on the analysis of the distribution of Lyα absorbers over column densities and Doppler parameters by the model joint probability density function. This approach allows us to measure the power-law index γ of the temperature–density relation and a certain combination of the temperature at the mean density T0 and hydrogen photoionization rate Γ. To estimate T0 and Γ separately, we employ measurements of the Lyα forest effective opacity and the model gas probability density function. We show that γ tends to be lower than 1.6 and reaches 1.3 at redshift ∼3. The inferred temperatures at the mean density are ∼(2 ± 0.5) × 104 K in the studied redshift range. Both these estimates favor He II reionization at z ≳ 3. We find that the hydrogen photoionization rate is ∼0.6 × 10−12 s−1, which is consistent with previous measurements.
Shielding Collaborative Learning: Mitigating Poisoning Attacks Through Client-Side Detection

Collaborative learning allows multiple clients to train a joint model without sharing their data with each other. Each client performs training locally and then submits the model updates to a central server for aggregation. Since the server has no visibility into the process of generating the updates, collaborative learning is vulnerable to poisoning attacks where a malicious client can generate a poisoned update to introduce backdoor functionality to the joint model. The existing solutions for detecting poisoned updates, however, fail to defend against the recently proposed attacks, especially in the non-IID (independent and identically distributed) setting. In this article, we present a novel defense scheme to detect anomalous updates in both IID and non-IID settings. Our key idea is to realize client-side cross-validation, where each update is evaluated over other clients’ local data. The server will adjust the weights of the updates based on the evaluation results when performing aggregation. To adapt to the unbalanced distribution of data in the non-IID setting, a dynamic client allocation mechanism is designed to assign detection tasks to the most suitable clients. During the detection process, we also protect the client-level privacy to prevent malicious clients from knowing the participations of other clients, by integrating differential privacy with our design without degrading the detection performance. Our experimental evaluations on three real-world datasets show that our scheme is significantly robust to two representative poisoning attacks.
GROWTH on S190814bv: Deep Synoptic Limits on the Optical/Near-infrared Counterpart to a Neutron Star–Black Hole Merger

On 2019 August 14, the Advanced LIGO and Virgo interferometers detected the high-significance gravitational wave (GW) signal S190814bv. The GW data indicated that the event resulted from a neutron star–black hole (NSBH) merger, or potentially a low-mass binary BH merger. Due to the low false-alarm rate and the precise localization (23 deg2 at 90%), S190814bv presented the community with the best opportunity yet to directly observe an optical/near-infrared counterpart to an NSBH merger. To search for potential counterparts, the GROWTH Collaboration performed real-time image subtraction on six nights of public Dark Energy Camera images acquired in the 3 weeks following the merger, covering >98% of the localization probability. Using a worldwide network of follow-up facilities, we systematically undertook spectroscopy and imaging of optical counterpart candidates. Combining these data with a photometric redshift catalog, we ruled out each candidate as the counterpart to S190814bv and placed deep, uniform limits on the optical emission associated with S190814bv. For the nearest consistent GW distance, radiative transfer simulations of NSBH mergers constrain the ejecta mass of S190814bv to be Mej < 0.04 M⊙ at polar viewing angles, or Mej < 0.03 M⊙ if the opacity is κ < 2 cm2g−1. Assuming a tidal deformability for the NS at the high end of the range compatible with GW170817 results, our limits would constrain the BH spin component aligned with the orbital momentum to be χ < 0.7 for mass ratios Q < 6, with weaker constraints for more compact NSs.
Charge distribution at metal-multilayered semiconductor interfaces.

Thicknesses-dependent performances of metal-multilayered semiconductor junctions have attracted increasing attention, but till present, the mechanism of interaction and the resulting charge distribution at interfaces which control the Schottky barrier and band offset between the semiconductor layers have not been systematically studied. Based on first-principles calculations, the nature and strength of the non-bonding interactions at Metal-MoS2 (M-S) and MoS2-MoS2 (S-S) interfaces in meta-multilayered MoS2 are investigated. We show that the charge distribution at M-S interfaces depends sensitively on the dimensionality and work function of metal substrates: 1) push back effect and metal induced gap states play a main role at 3D metal-MoS2 interfaces; 2) charge transfer occurs in Mo2C(OH)2 (or Mo2CO2)-MoS2 interfaces which means electron distribution is determined by the band alignment of metal and MoS2; 3) covalent-like feature appears at Mo2CF2-MoS2 interface. The S-S interface inherit the charge redistribution at M-S interface for 2D metal-2L MoS2 junction, and have a depinning effect for M-S interface in 3D metal-2L MoS2 junction. We are trying to start drawing general conclusions and developing new concepts to understand metal-multilayered semiconductor interfaces in the strong interaction limit, where charge-transfer effects must be taken into consideration in this paper.
Extensions of the John–Nirenberg theorem and applications

The John-Nirenberg theorem states that functions of bounded mean oscillation are exponentially integrable. In this article we give two extensions of this theorem. The first one relates the dyadic maximal function to the sharp maximal function of Fefferman-Stein, while the second one concerns local weighted mean oscillations, generalizing a result of Muckenhoupt and Wheeden. Applications to the context of generalized Poincar\'e type inequalities and to the context of the $C_p$ class of weights are given. Extensions to the case of polynomial BMO type spaces are also given.
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks

Active subspace is a model reduction method widely used in the uncertainty quantification community. In this paper, we propose analyzing the internal structure and vulnerability and deep neural networks using active subspace. Firstly, we employ the active subspace to measure the number of "active neurons" at each intermediate layer and reduce the number of neurons from several thousands to several dozens. This motivates us to change the network structure and to develop a new and more compact network, referred to as {ASNet}, that has significantly fewer model parameters. Secondly, we propose analyzing the vulnerability of a neural network using active subspace and finding an additive universal adversarial attack vector that can misclassify a dataset with a high probability. Our experiments on CIFAR-10 show that ASNet can achieve 23.98$\times$ parameter and 7.30$\times$ flops reduction. The universal active subspace attack vector can achieve around 20% higher attack ratio compared with the existing approach in all of our numerical experiments. The PyTorch codes for this paper are available online.
ERYTHROCYTE AGGREGABILITY IN PATIENTS WITH CORONARY HEART DISEASE

Erythrocyte aggregation (EA) rates were measured at stasis (M) and at 3 sec- 1 (Ml) in four groups: healthy controls (HC) and three groups of coronary heart disease (CHD); stable angina pectoris (SAP), unstable angina pectoris (USAP) and post myocardial infarction (PostMI) patients. All CHD patients had similar risk factors. EA values were significantly higher. at M and M1 in USAP and PostMI groups than HC and SAP (p O.05). Since EA is higher in more severe forms of CHD (USAP and PostMI) and atherosclerosis is more common in men than women before menopause, it is possible that EA might play a role in the development of especially severe forms of CHD.
Physical Characterization of an Unlensed, Dusty Star-forming Galaxy at z = 5.85

We present a physical characterization of MM J100026.36+021527.9 (a.k.a. “Mambo-9”), a dusty star-forming galaxy (DSFG) at z = 5.850 ± 0.001. This is the highest-redshift unlensed DSFG (and fourth most distant overall) found to date and is the first source identified in a new 2 mm blank-field map in the COSMOS field. Though identified in prior samples of DSFGs at 850 μm to 1.2 mm with unknown redshift, the detection at 2 mm prompted further follow-up as it indicated a much higher probability that the source was likely to sit at z > 4. Deep observations from the Atacama Large Millimeter and submillimeter Array (ALMA) presented here confirm the redshift through the secure detection of 12CO(J = 6→5) and p-H2O (21,1 → 20,2). Mambo-9 is composed of a pair of galaxies separated by 6 kpc with corresponding star formation rates of 590 M⊙ yr−1 and 220 M⊙ yr−1, total molecular hydrogen gas mass of (1.7 ± 0.4) × 1011M⊙, dust mass of (1.3 ± 0.3) × 109M⊙, and stellar mass of ( ) × 109M⊙. The total halo mass, (3.3 ± 0.8) × 1012M⊙, is predicted to exceed 1015M⊙ by z = 0. The system is undergoing a merger-driven starburst that will increase the stellar mass of the system tenfold in τdepl = 40−80 Myr, converting its large molecular gas reservoir (gas fraction of ) into stars. Mambo-9 evaded firm spectroscopic identification for a decade, following a pattern that has emerged for some of the highest-redshift DSFGs found. And yet, the systematic identification of unlensed DSFGs like Mambo-9 is key to measuring the global contribution of obscured star formation to the star formation rate density at z ≳ 4, the formation of the first massive galaxies, and the formation of interstellar dust at early times (≲1 Gyr).