Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Affective Temperaments on Suicidal Ideation and Behaviors: Results from an Observational Multicentric Study on Patients with Mood Disorders

Suicide ideation and behaviors are major health issues in the field of mental health. Several psychological and psychosocial factors have been taken into account as possible predictors of suicidality. Only recently affective temperaments have been considered as possible factors linked to suicide. This study aims to investigate the relationship between affective temperaments and suicidality, including the lifetime onset of suicide ideation, lifetime presence of suicide attempts and the total number of lifetime suicide attempts. This is a naturalistic multicentric observational study, involving outpatient units of seven University sites in Italy. Patients were administered with the short version of TEMPS-M and the Columbia Suicide Severity Rating Scale. A total of 653 participants were recruited, with a diagnosis of bipolar (55.7%), unipolar (35.8%) and cyclothymic disorder (8.4%). Regression models showed that the presence of lifetime suicide behaviors was increased in patients presenting trait related impulsivity (p < 0.0001), poor free-interval functioning (p < 0.05), higher number of affective episodes (p < 0.01), higher number of hospitalizations (p < 0.0001), cyclothymic and irritable affective temperaments (p < 0.05 and p < 0.05, respectively). Conversely, the presence of hyperthymic affective disposition reduced the likelihood of having suicidal behaviors (p < 0.01). Lifetime suicidal ideation was associated with trait-related impulsivity (p < 0.001), poor free-interval functioning (p < 0.05), higher number of affective episodes (p < 0.001) and of hospitalizations (p < 0.001). Depressive temperaments increased the likelihood of presenting suicidal ideation (p < 0.05), along with irritable temperaments (p < 0.01), contrary to hyperthymic affective (p < 0.05). Results of the present study confirm that affective disposition has a significant impact on the onset of suicidal ideation and behaviors, and that affective dispositions should be assessed in clinical settings to identify people at risk of suicide. Moreover, a wider clinical evaluation, including different clinical psychopathological dimensions, should be taken into consideration to develop effective preventive interventions.
Structure and motion of tropical squall‐lines over Venezuela

The characteristics of squall-lines observed during the second Venezuelan International Meteorological and Hydrological Experiment (VIMHEX-1972) are compared with the predictions of Moncrieff and Miller (1976). These squall-lines are highly organized, propagate in a distinctive fashion, and effect a significant modification on both the thermodynamic and dynamic structure of the synoptic-scale flow. The predicted propagation speeds and transport properties are similar to those observed, although some significant differences are also apparent.
Motion Hysteresis Compensation Based on Motor Current Segmentation for Elongated Cable-Driven Surgical Instruments

Cable-driven surgical instrument is a reusable and disposable component of Robot-assisted Minimally Invasive Surgery, and it is time-consuming to identify the motion hysteresis compensation model of each instrument in large-scale identification. Besides, the identification results failure caused by the loss of cable tension or lubrication conditions during repeated usage interferes with the accuracy of motion hysteresis compensation. To simplify the identification process and lengthen the instrument life, this paper leverages the relationship between actuate motor current and hysteresis phases, developing a novel motion hysteresis compensation method to compensate the motor reference trajectory. Firstly, prior knowledges including motor current and hysteresis curves of several instruments are collected to train the Hysteresis Identification model and Curve Generation model. Once the two models are well-trained in practical use, the only sensor data in need is the motor current for the Hysteresis Identification model, and the compensation curve will be generated pertinently for the instrument under current use. Finally, Feedforward Compensation scheme is conducted to compensate the reference trajectory of the actuate motor. Experiments study the range of hysteresis compensation errors when the method is applied to numerous surgical instruments with different motion hysteresis, and the feasibility and accuracy are verified. The method can be potentially applied to a wide range of cable-driven mechanisms facing the problem of large-scale identification or the identification results failure after repeated use. Note to Practitioners—This paper proposes a feasible motion hysteresis compensation method for cable-driven mechanism (CDM). For some CDMs like elongated cable-driven surgical instrument, their motion hysteresis characteristics will change during repeated use, and their distal angle and cable tension are not available in the environment of use. In these cases, the proposed method enables re-identification because the distal angle or cable tension are not needed during the practical use of our method. Besides, it is easy and low-cost for large-scale identification due to the simplicity of identification procedure. Once the Hysteresis Identification model and Curve Generation model are trained using the pre-collected prior knowledge including motor current and the angle of the end effector, the only sensor data in need to identify and compensate a certain CDM is the its motor current. Then, the pertinent compensation curve for the CDM device can be generated for the actuate motor to follow. The experimental results reveal that the competitive performance with other state-of-the-arts can be achieved. In the future research, we will integrate dynamic characteristics of CDM into the method to expand the scope of application.
Cardiac Structure and Cardiorespiratory Fitness in Young Male Japanese Rugby Athletes

Limited data are available on athlete’s heart for rugby athletes. This study aimed to investigate cardiac structure and its relationship with cardiorespiratory fitness in young Japanese rugby athletes. A prospective cross-sectional study using echocardiography and cardiopulmonary exercise testing (CPET) was conducted on 114 male collegiate rugby players. There was a higher prevalence of increased left ventricular (LV), atrial, and aortic dimensions in the young athletes than that in previously published reports, whereas the wall thickness was within the normal range. Anthropometry and CPET analyses indicated that the forwards and backs presented muscular and endurance phenotypes, respectively. Indexed LV and aortic dimensions were significantly larger in the backs than in the forwards, and the dimensions significantly correlated with oxygen uptake measured by CPET. On the four-tiered classification for LV hypertrophy, abnormal LV geometry was found in 16% of the athletes. Notably, the resting systolic blood pressure was significantly higher in athletes with concentric abnormal geometry than in the other geometry groups, regardless of their field positions. Japanese young athletes may exhibit unique phenotypes of cardiac remodeling in association with their fitness characteristics. The four-tiered LV geometry classification potentially offers information regarding the subclinical cardiovascular risks of young athletes.
TM-polarized photon tunneling phase time in a frustrated-total-internal-reflection structure

We calculate posttunneling positions and tunneling time (phase time) for TM photon tunneling in a frustrated-total-internal-reflection (FTIR) structure. We do this by converting the TM photon tunneling problem in the FTIR structure into the electron tunneling problem for a heterostructure potential barrier with a position-dependent effective mass. The results derived are compared with those of FTIR tunneling cases with TE photons.
Adaptive Design of Fluorescence Imaging Systems for Custom Resolution, Fields of View, and Geometries

Objective and Impact Statement: We developed a generalized computational approach to design uniform, high-intensity excitation light for low-cost, quantitative fluorescence imaging of in vitro, ex vivo, and in vivo samples with a single device. Introduction: Fluorescence imaging is a ubiquitous tool for biomedical applications. Researchers extensively modify existing systems for tissue imaging, increasing the time and effort needed for translational research and thick tissue imaging. These modifications are application-specific, requiring new designs to scale across sample types. Methods: We implemented a computational model to simulate light propagation from multiple sources. Using a global optimization algorithm and a custom cost function, we determined the spatial positioning of optical fibers to generate 2 illumination profiles. These results were implemented to image core needle biopsies, preclinical mammary tumors, or tumor-derived organoids. Samples were stained with molecular probes and imaged with uniform and nonuniform illumination. Results: Simulation results were faithfully translated to benchtop systems. We demonstrated that uniform illumination increased the reliability of intraimage analysis compared to nonuniform illumination and was concordant with traditional histological findings. The computational approach was used to optimize the illumination geometry for the purposes of imaging 3 different fluorophores through a mammary window chamber model. Illumination specifically designed for intravital tumor imaging generated higher image contrast compared to the case in which illumination originally optimized for biopsy images was used. Conclusion: We demonstrate the significance of using a computationally designed illumination for in vitro, ex vivo, and in vivo fluorescence imaging. Application-specific illumination increased the reliability of intraimage analysis and enhanced the local contrast of biological features. This approach is generalizable across light sources, biological applications, and detectors.
Palygorskite–TiO2 nanocatalysts for photocatalytic degradation of tebuconazole in water

Palygorskite–TiO2 nanoparticles are frequently used as nanocatalysts. In the present study, two different nanocatalysts were developed based on the use of different palygorskite–TiO2 ratios: 40–60 and 10–90. The nanocomposites were investigated for the photocatalytic degradation of the common fungicide tebuconazole (TEB), under aquatic conditions. The samples were extensively characterized by X‐ray powder diffraction, attenuated total reflectance–Fourier transform infrared spectroscopy, scanning electron microscopy and N2 specific surface area (SSA) by Brunauer–Emmett–Teller (BET) analytical techniques. The TiO2 nanoparticles were successfully dispersed on the mineral's surfaces and the photocatalytic activity reached 88.4% for the palygorskite–TiO2 ratio of 40:60, where the dispersion was better as proved by the total pore volume and BET parameters (0.49 cm3/g and 258 m2/g compared to 0.33 cm3/g and 220 m2/g of the 10:90 ratio). The photocatalytic efficiency of the proposed materials was significantly higher than Degussa P25 (33.2%), and that makes the palygorskite–TiO2 nanocomposites very promising for advanced application in fungicides' degradation in aquatic environments.
Facial Emotion Recognition with Inter-Modality-Attention-Transformer-Based Self-Supervised Learning

Emotion recognition is a very challenging research field due to its complexity, as individual differences in cognitive–emotional cues involve a wide variety of ways, including language, expressions, and speech. If we use video as the input, we can acquire a plethora of data for analyzing human emotions. In this research, we use features derived from separately pretrained self-supervised learning models to combine text, audio (speech), and visual data modalities. The fusion of features and representation is the biggest challenge in multimodal emotion classification research. Because of the large dimensionality of self-supervised learning characteristics, we present a unique transformer and attention-based fusion method for incorporating multimodal self-supervised learning features that achieved an accuracy of 86.40% for multimodal emotion classification.
Stress magnitudes in the crust: constraints from stress orientation and relative magnitude data

The World Stress Map Project is a global cooperative effort to compile and interpret data on the orientation and relative magnitudes of the contemporary in situ tectonic stress field in the Earth's lithosphere. Horizontal stress orientations show regionally uniform patterns throughout many continental intraplate regions. These regional intraplate stress fields are consistent over regions 1000-5000 km wide or ca. 100 times the thickness of the upper brittle part of the lithosphere (ca. 20 km) and about 10-15 times the thickness of typical continental lithosphere (ca. 150-200 km). Relative stress magnitudes or stress regimes in the lithosphere are inferred from direct in situ stress measurements and from the style of active faulting. The intraplate stress field in both the oceans and continents is largely compressional with one or both of the horizontal stresses greater than the vertical stress. The regionally uniform horizontal intraplate stress orientations are generally consistent with either relative or absolute plate motions indicating that plate-boundary forces dominate the stress distribution within the plates. Since most regions of normal faulting occur in areas of high elevation, the extensional stress régimes in these areas can be attributed to superimposed bouyancy forces related to crustal thickening and/or lithosphere thinning; stresses derived from these bouyancy forces locally exceed mid-plate compressional stresses. Evaluating the effect of viscous drag forces acting on the plates is difficult. Simple driving or resisting drag models (with shear tractions acting parallel or antiparallel to plate motion) are consistent with stress orientation data; however, the large lateral stress gradients across broad plates required to balance these tractions are not observed in the relative stress magnitude data. Current models of stresses due to whole mantle flow inferred from seismic tomography models (and with the inclusion of the effect of high density slabs) predict a general compressional stress state within continents but do not match the broad-scale horizontal stress orientations. The broad regionally uniform intraplate stress orientations are best correlated with compressional plate-boundary forces and the geometry of the plate boundaries.
Compact Shared-Aperture Slot/DR Antenna With Large Frequency Ratio

A compact shared-aperture antenna with a large frequency ratio is proposed. It consists of a low-frequency (LF) slot antenna and a high-frequency (HF) dielectric resonator antenna (DRA). The LF slot antenna is etched in the ground and loaded by the HF DRA. It employs a low-permittivity substrate, thus giving a wide bandwidth. The HF DRA is excited by a dual-microstripline-fed slot. The operating frequencies of these two antenna parts can be tuned independently. A prototype is fabricated and measured to verify the simulation. It has a very compact electrical size of 0.27 × 0.08 × 0. 03λ$_{0}^{3}$, where λ0 is the wavelength in air at the center frequency of the LF band. Its measured frequency ratio is 7.6, with reasonable agreement between the measured and simulated results.
The Design and Implementation of UniKV for Mixed Key-Value Storage Workloads

Persistent key-value (KV) stores are mainly designed based on the Log-Structured Merge-tree (LSM-tree), yet they suffer from large read and write amplifications, especially when KV stores grow in size. Existing design optimizations for LSM-tree-based KV stores often make certain trade-offs and fail to simultaneously improve both the read and write performance on large KV stores without sacrificing scan performance. We design UniKV, which unifies the key design ideas of hash indexing and the LSM-tree in a single system. Specifically, UniKV leverages data locality to differentiate the indexing management of KV pairs. It also develops multiple techniques (e.g., merge with partial KV separation, dynamic range partitioning) to tackle the issues caused by unifying the indexing techniques, so as to simultaneously improve the performance in reads and writes. Furthermore, it proposes a parallel optimization scheme to manage partitions in parallel and develops multiple strategies to optimize the scan performance. Experiments show that UniKV significantly outperforms several state-of-the-art KV stores (e.g., LevelDB, RocksDB, PebblesDB and Titan) in overall throughput under read-write mixed workloads.
Equivalence of vertical block linear complementarity problems and multi-objective programming problems

In this paper, Multi-objective Programming (MOP) approaches are proposed to deal with the feasible Vertical Block Linear Complementarity Problems (VLCP) and to look into the solvability and unsolvability of the VLCP. The characterization of an unsolvable VLCP is obtained via the existence of nonzero efficient point of the MOP problem. Also a perturbed problem is proposed if the VLCP is unsolvable for small disturbances in data. This perturbed problem is useful to construct the solvable VLCP corresponding to the original unsolvable VLCP. Examples are given to demonstrate the effectiveness of the results.
Wiretap Channel with Action-Dependent States and Rate-Limited Feedback

We introduce the wiretap channel with action-dependent states and rate-limited feedback. In the new model, the state sequence is dependent on the action sequence which is selected according to the message, and a secure rate-limited feedback link is shared between the transmitter and the receiver. We obtain the capacity-equivocation region and secrecy capacity of such a channel both for the case where the channel inputs depend noncausally on the state sequence and the case where they are restricted to causal dependence. We construct the capacity-achieving coding schemes utilizing Wyner's random binning, Gel'fand and Pinsker’s coding technique, and rate splitting. Furthermore, we compare our results with the existing approaches without feedback, with noiseless feedback, and without action-dependent states. The simulation results show that the secrecy capacity of our model is bigger than that of the first two existed approaches. Besides, it is also shown that, by taking actions to affect the channel states, we guarantee the data integrity of the message transmitted in the two-stage communication systems although the tolerable overhead of transmission time is brought.
On the interrelation between the surface photometric parameters and the internal velocities of galaxies

The interrelations between the surface photometric parameters and the internal velocities are explored by means of the principal component analysis and the regression line analysis of homogeneous data for 18 elliptical and 28 spiral galaxies of moderate inclinations in the Virgo Cluster. Extremely tight correlations are found both for ellipticals and spirals, between the visual magnitude and a combined parameter involving the internal velocity and the isophotal diameter of galaxies. The physical meaning of the parameter is inferred to be a sort of phase-space density related to the basic structure of galaxies, and its empirical behavior in the diameter versus surface brightness diagram is briefly described. 26 refs.
Determination of exciton binding energy using photocurrent spectroscopy of Ge quantum-dot single-hole transistors under CW pumping

We reported exciton binding-energy determination using tunneling-current spectroscopy of Germanium (Ge) quantum dot (QD) single-hole transistors (SHTs) operating in the few-hole regime, under 405–1550 nm wavelength (λ) illumination. When the photon energy is smaller than the bandgap energy (1.46 eV) of a 20 nm Ge QD (for instance, λ = 1310 nm and 1550 nm illuminations), there is no change in the peak voltages of tunneling current spectroscopy even when the irradiation power density reaches as high as 10 µW/µm^2. In contrast, a considerable shift in the first hole-tunneling current peak towards positive V_G is induced (ΔV_G ≈ 0.08 V at 0.33 nW/µm^2 and 0.15 V at 1.4 nW/µm^2) and even additional photocurrent peaks are created at higher positive V_G values (ΔV_G ≈ 0.2 V at 10 nW/µm^2 irradiation) by illumination at λ = 850 nm (where the photon energy matches the bandgap energy of the 20 nm Ge QD). These experimental observations were further strengthened when Ge-QD SHTs were illuminated by λ = 405 nm lasers at much lower optical-power conditions. The newly-photogenerated current peaks are attributed to the contribution of exciton, biexciton, and positive trion complexes. Furthermore, the exciton binding energy can be determined by analyzing the tunneling current spectra.
Lattice–Boltzmann Aeroacoustic Analysis of the LAGOON Landing-Gear Configuration

The unsteady flowfield about the ONERA–The French Aerospace Lab/Airbus SAS LAGOON two-wheel landing-gear configuration and the associated aerodynamic noise generation are computed using a hybrid approach in which the flowfield is provided by a lattice–Boltzmann simulation, and the noise radiation is computed using the Ffowcs-Williams–Hawkings analogy. A detailed validation study is carried out, following the guidelines of the second AIAA workshop on Benchmark Problems for Airframe Noise Computations and using the complete experimental database for detailed comparisons. The effect of grid resolution on both near- and far-field results is investigated, showing the physical consistency of the numerical model. In addition, an assessment of the numerical prediction is carried out by computing the maximum perceived noise level along a nominal approach trajectory. Finally, an unsteady flow mechanism involving the onset of cavity modes in the two facing rim cavities is analyzed in detail and correlated with the g.
A Recommender System for Robust Smart Contract Template Classification

IoT environments are becoming increasingly heterogeneous in terms of their distributions and included entities by collaboratively involving not only data centers known from Cloud computing but also the different types of third-party entities that can provide computing resources. To transparently provide such resources and facilitate trust between the involved entities, it is necessary to develop and implement smart contracts. However, when developing smart contracts, developers face many challenges and concerns, such as security, contracts’ correctness, a lack of documentation and/or design patterns, and others. To address this problem, we propose a new recommender system to facilitate the development and implementation of low-cost EVM-enabled smart contracts. The recommender system’s algorithm provides the smart contract developer with smart contract templates that match their requirements and that are relevant to the typology of the fog architecture. It mainly relies on OpenZeppelin, a modular, reusable, and secure smart contract library that we use when classifying the smart contracts. The evaluation results indicate that by using our solution, the smart contracts’ development times are overall reduced. Moreover, such smart contracts are sustainable for fog-computing IoT environments and applications in low-cost EVM-based ledgers. The recommender system has been successfully implemented in the ONTOCHAIN ecosystem, thus presenting its applicability.