Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel Compact Design and Investigation of a Super Wideband Millimeter Wave Antenna for Body-Centric Communications

This paper presents a novel design for a multiple band millimeter wave antenna with a wide active region in the extremely high frequency (EHF) range. The antenna's performance was tested at three evenly separated frequencies: 60 GHz within the V-band region, 80 GHz within the E-band region, and 100 GHz. Simulation exhibits satisfactory results in terms of gain and efficiency, although the efficiency falling tendency for higher frequency persists. As millimeter wave antennas have miniature-like dimensions and low penetration depth into human body layers, the performance of these antennas is less disturbed by the presence of a human body, making them ideal for body-centric wireless communication (BCWC) applications. Thus, a human body model was created virtually with the necessary property data. Simulations are repeated at the same frequencies as before, with the antenna kept close to the constructed human body model. The results were promising as the gains found increased radiation patterns and return loss curves remained almost identical, except some efficiencies that were considered. Some H-plane radiation patterns are changed by the presence of a human body. Although all three frequencies present satisfactory results, 60 GHz is found to be more balanced, but 100 GHz shows better gain and directivity. Multiple band operability makes this antenna suitable for various applications. Finally, a distance-based analysis was conducted to realize the in-depth characteristics of the antenna by placing the antenna at five different gaps from the human body. The result verifies the antenna’s category as suitable for body-centric communications.
Spin dynamics in the skyrmion-host

G. Pokharel,1, 2, 3, † H. Suriya Arachchige,1, 2 S. Gao,2, 4 S. -H. Do,2 R. S. Fishman,2 G. Ehlers,5 Y. Qiu,6 J. A. Rodriguez-Rivera,6 M. B. Stone,4 H. Zhang,1 S. D. Wilson,3 D. Mandrus,7, 2, 1 and A. D. Christianson2, ‡ Department of Physics & Astronomy, University of Tennessee, Knoxville, TN 37996, USA Materials Science & Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA Materials Department and California Nanosystems Institute, University of California Santa Barbara, Santa Barbara, CA 93106, USA Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA Neutron Technologies Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA NIST Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA Department of Materials Science & Engineering, University of Tennessee, Knoxville, TN 37996, USA (Dated: October 26, 2021)
A Benchmark Framework for CAN IDS

This paper presents a benchmark framework for Controller Area Network (CAN) Intrusion Detection Systems (IDS). This framework ships with a dataset and currently supports 4 detection algorithms designed specifically for the CAN bus. The dataset is composed by a set of traces gathered from a licensed, unaltered passenger vehicle used for the training of the detection models and by a set of traces containing simulation of the most common attack scenarios affecting modern vehicle. The detection performance of the 4 supported detection algorithms allows to compare their behavior against different attack scenarios, highlighting the best detection algorithms against the different attack scenarios.
DMSO_A_329209 4523..4534

1Department of Endocrinology, The First People’s Hospital of Zunyi, Zunyi, Guizhou, 563000, People’s Republic of China; 2Department of Hand and Plastic Surgery, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, People’s Republic of China; 3Department of Neurosurgery, Affiliated Cixi Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, 315300, People’s Republic of China; 4Department of Neurosurgery, China-Japan Friendship Hospital, Beijing, 100029, People’s Republic of China
Analysing the evolutionary function of reproductive behaviour

Here I describe the reasoning behind dividing explanations for the evolution of behaviour into four different levels of explanation, two relating to proximate explanations relating to mechanism and development, and two ultimate explanations relating to evolutionary history and function. I outline the basic methods we can use to attempt to test functional hypotheses about the evolution of behaviour. I note that in natural populations, we often find ourselves studying proximate mechanisms even if our central interest is evolutionary function. I conclude that a distinction between proximate and ultimate explanations for behaviour can be a useful heuristic tool in many situations, even if in some real world studies of human behaviour, this distinction is sometimes blurred.
Distinct patterns of neuronal differentiation are strikingly apparent during the generation of the amniote spinal cord. Here neurons appear in the neural tube in a head to tail sequence

It is a feature of the developing vertebrate nervous system that neuronal differentiation commences in different regions at different times and that within each region neurons do not differentiate simultaneously. Mechanisms must therefore exist to regulate when and where neuronal differentiation can take place and these help to ensure that neurons are generated at a time when factors that convey neuronal identity and guide axons to their targets are present in the differentiating embryo (reviewed by Edlund and Jessell, 1999; Jessell, 2000; Tannahill et al., 2000). The controlled production of neurons within a particular region has been studied in many vertebrates and has been shown to rely on cascades of basic helix-loop-helix (bHLH) transcription factors that promote neuronal differentiation (e.g. Ma et al., 1996; Cau et al., 1997) (reviewed by Guillemot, 1999) and on lateral inhibition, acting through the Notch-Delta-HES1 signalling pathway, that antagonises such cascades and ensures that neighbouring cells do not differentiate simultaneously (reviewed by Lewis, 1996). However, much less is known about the mechanisms that control when a particular region of the nervous system begins to form neurons (although this has been addressed in the frog neural plate) (e.g. Brewster et al., 1998; Papalopulu and Kintner, 1996). Distinct patterns of neuronal differentiation are strikingly apparent during the generation of the amniote spinal cord. Here neurons appear in the neural tube in a head to tail sequence (McConnell and Sechrist, 1980; Langman and Haden, 1970; Sechrist and Bronner-Fraser, 1991; Nornes and Carry, 1978; Nornes and Das, 1974) that reflects the progressive generation of this region (Brown and Storey, 2000; Mathis et al., 2001; Mathis and Nicolas, 2000). The first neurons born in the chick embryo are future reticular and spinal interneurons, which start their final round of DNA synthesis as the head fold forms, while the first future spinal motor neurons undergo their last cell cycle 6-8 hours later (McConnell and Sechrist, 1980; Sechrist and Bronner-Fraser, 1991). This sequential rostrocaudal wave of neuronal differentiation could be a consequence of a cell autonomous neural programme or it could be generated in a series of steps that are regulated by extrinsic factors. A number of processes occur in parallel with the generation of the spinal cord including regression of the primitive streak, formation of the notochord and somitogenesis, and these adjacent tissues could provide extrinsic signals that regulate the o set of neuronal differentiation. The notochord has been shown to regulate cell type specification within the dorsoventral axis of the spinal cord (reviewed by Edlund and 1681 Development 129, 1681-1691 (2002) Printed in Great Britain © The Company of Biologists Limited 2002 DEV1772
The Relationship Between Loneliness and Psychological Adjustment: Validation of the Italian Version of the Interpersonal Acceptance–Rejection Loneliness Scale

In recent literature, many researchers have highlighted that the feeling of loneliness can be considered a sign of relevant distress with short- and long-term consequences on the health of people who needs to be appropriately monitored and treated. In this view, the Interpersonal Acceptance–Rejection Loneliness Scale (IPARLS) has been developed to evaluate the subjective feelings and distress related to interpersonal loneliness and to overcome the limits of the previous scales; however, its psychometric characteristics have not yet been fully investigated. Starting from these considerations, two studies have been conducted. The first study, involving 688 adults (19–69 years; 51% females), assessed dimensionality, reliability, and validity of and tested the measurement invariance (MI) of the Italian version of the IPARLS. The second study, involving 205 adults (20–69 years; 51% females), investigated the relationship between loneliness and psychological adjustment. Results confirmed the unidimensionality of the scale and showed that it is reliable, valid, and fully invariant as a function of age and gender. Moreover, data showed a strong association between perceived loneliness and psychological adjustment. The IPARLS is confirmed to be a valid and reliable measure to investigate loneliness in the life cycle from clinical and research perspectives.
A Social Monitor for Detecting Inappropriate Behavior

: In this paper we present a prototype of a social monitor aimed at detecting inappropriate behavior in social networks applying Machine Learning (ML) solutions. This monitor is able to retrieve textual data from two of the current main social networks (YouTube and Twitter) and analyze them using ML algorithms based systems trained on diﬀerent scenarios. In particular, those that have emerged in recent years in the Natural Language Processing (NLP) community and that are related to social and mental health issues, such as the detection of oﬀensive language, cyberbullying, fake news and the identiﬁcation of mental disorders.
Using pyroelectric sensors to detect continuous infrared radiation

This paper focuses on an optimized method for detecting continuous infrared rays make use of Pyroelectric devices. Now, Pyroelectric devices are usually very sensitive to changes in infrared radiation in the presence of an object when transfers or radiation is connected or disconnected. In this new approach, the thermo-electric cooler is employed to active temperature sensors instead of conventional modulation. They use mechanical parts, which are complex and un-reliable. The most of the sensor consists of a number of important restrictions, which are expected to be eliminated by a new method in this study. To simulate the thermal and electrical behavior of the detector, the equivalent electrical circuit is needed that will be proposed.The practical results of Pyroelectric sensor are sent to a computer by a digital oscilloscope, and then they are monitored and analyzed. After that, the model is simulated with MATLAB software. Finally, practical and theoretical results compared with each other and a good agreement of them is shown and confirms the validity of the model.
Neoantigen DNA vaccines are safe, feasible, and capable of inducing neoantigen-specific immune responses in patients with triple negative breast cancer

PURPOSE: Cancer neoantigens are important targets of cancer immunotherapy. Neoantigen vaccines have the potential to induce or enhance highly specific antitumor immune responses with minimal risk of autoimmunity. We have developed a neoantigen DNA vaccine platform capable of efficiently presenting both HLA class I and II epitopes. To test the safety, feasibility and efficacy of this platform, we performed a phase 1 clinical trial in triple negative breast cancer patients with persistent disease following neoadjuvant chemotherapy, a patient population at high risk of disease recurrence. EXPERIMENTAL DESIGN: Expressed somatic mutations were identified by tumor/normal exome sequencing and tumor RNA sequencing. The pVACtools software suite was used to identify and prioritize cancer neoantigens. Neoantigen DNA vaccines were designed and manufactured in an academic GMP facility at Washington University School of Medicine. Neoantigen DNA vaccines were administered via electroporation following completion of standard of care therapy. Safety was measured by clinical and laboratory evaluation. Immune responses were assessed by ELISPOT, flow cytometry and TCR sequencing. RESULTS: 18 subjects received three doses of a personalized neoantigen DNA vaccine encoding on average 11 neoantigens per patient (range 4-20). The vaccinations were well tolerated with limited adverse events, primarily related to injection site reactions. Neoantigen-specific immune responses were induced in 16/18 patients as measured by ELISPOT and flow cytometry. At a median follow-up of 36 months, progression-free survival was 87.5% (95% CI: 72.7-100%) in the cohort of vaccinated patients compared to 49% (95% CI: 36.4-65.9%) in a cohort of institutional historical control patients (p=0.011). CONCLUSIONS: Neoantigen DNA vaccines are safe, feasible, and capable of inducing a neoantigen-specific immune response. There is preliminary evidence of improved disease-free survival compared to historical controls.
Electroconvulsive therapy effects on anhedonia and reward circuitry anatomy: a dimensional structural neuroimaging approach

Anhedonia is a core symptom of major depressive disorder (MDD) resulting from maladaptive reward processing. Electroconvulsive therapy (ECT) appears to be an effective treatment for patients with treatment-resistant depression (TRD). However, no previous neuroimaging studies have taken a dimensional approach to assess whether ECT-induced gray matter (GM) volume changes are specifically related to improvements in anhedonia and positive valence emotional constructs. Here we aimed to assess the relationship between right unilateral (RUL) ECT-induced brain volumetric changes and improvement in anhedonia and reward processing in patients with TRD. We evaluated 15 patients at two time points (before the first ECT session and after acute ECT completion) using magnetic resonance imaging (MRI), clinical scales (i.e., Quick Inventory of Depressive Symptomatology [QIDS] for syndromal depression severity and Snaith-Hamilton Pleasure Scale [SHAPS] for anhedonia) and the Temporal Experience of Pleasure Scale (TEPS) for anticipatory and consummatory experiences of pleasure. Patients with TRD showed a significant improvement in anhedonia symptoms and both anticipatory and consummatory pleasure after RUL ECT completion. Moreover, GM volume increases within the right reward system were related to anhedonia responders and, specifically, improvement in anticipatory (but not consummatory) reward. We highlight the importance of a dimensional and circuit-based approach to understanding target engagement and the mechanism of action of ECT, with the goal to define symptom- and circuit-specific response biomarkers for device neuromodulation therapies.
Artificial intelligence in the respiratory sounds analysis and computer diagnostics of bronchial asthma

Using a database containing audio files of respiratory sound records of asthmatic patients and healthy patients, a method of computer-aided diagnostics based on the machine learning technique creation of neural networks, has been developed. The database contains 952 records of respiratory sounds of asthma patients at different stages of the disease, aged from several months to 47 years, and 167 records of volunteers. Records were carried out with a quiet breathing at four points: in the oral cavity, above the trachea, on the chest, the second intercostal space on the right side, and at a point on the back. The developed method of computer-aided diagnostics allows diagnosing bronchial asthma with high reliability: sensitivity of 89.3%, specificity of 86%, accuracy of about 88% and Youden index of 0.753. The program learned once makes it possible to diagnose bronchial asthma with high reliability regardless of patient's gender and age, a stage of disease, as well as the point of sound recording. The developed method can be used as an additional screening method for the diagnostics of bronchial asthma and serve as the basis for development of computer control methods, including remote control (telemedicine) of patients condition and the effectiveness of the applied drugs in real time.
A SPATIAL DEEP NETWORK ARCHITECTURE FOR BRAIN DECODING

We propose the Fixed Grouping Layer (FGL); a novel feedforward layer designed to incorporate structured smoothness in a deep learning model. FGL achieves this goal by connecting nodes across layers based on spatial similarity. The inductive bias of structured smoothness implemented by FGL is motivated by applications such as brain image decoding, i.e., predicting behavior based on brain images, where scientiﬁc prior knowledge suggests that brain responses conditioned on behaviour are smoothed. Experimental results on simulated and real data is provided. Our proposed model architecture performs better than conventional neural network architectures.
The Effect of Corporate Sustainability on Performance of Tourist Businesses and the Mediating Role of Employee Commitment, Investor Commitment and Community Participation: The Case in Vietnam South Central Coast

In the context of integration and globalization, the world is facing many serious challenges such as climate change, environmental pollution, inequality and social divisions. Reality shows that perceptions and practices of corporate sustainability are different between developed countries and the rest, as well as between Western and Eastern countries. In that context, research on corporate sustainability has received a lot of attention because of the great benefits that corporate sustainability brings to businesses in particular and to the society in general. However, most research on corporate sustainability has been conducted in developed countries. Up to now, in the world and in Vietnam, the author has not found any empirical studies examining the effect of corporate sustainability on corporate performance and the mediating role of employee commitment, investor commitment and community participation. The PLS-SEM technique is used to test the research model and hypotheses. The finding is that corporate sustainability positively impacts the performance of tourism businesses directly as well as indirectly through employee commitment, investor commitment, and local community involvement.
Healing the Hearts of Healers: A Framework to Cultivate Flourishing and Combat Burnout in Healthcare

Burnout is a leading issue in the United States healthcare system today, afflicting approximately 50% of physicians. It is characterized by emotional depletion and loss of energy, a sense of depersonalization, and a reduced sense of individual accomplishment, resulting in withdrawal from occupation. While often regarded as a personal issue, it is clear that burnout arises from organizational factors and therefore, warrants organizational solutions. However, just as wellbeing is more than just the absence of ill-being, physician flourishing requires more than just treatment of burnout. The HEAL (Hope, Engagement, Action, Lead) model, the subject matter of this paper, is a framework for instituting positive psychology practices to transform medical culture to address burnout and promote well-being for individuals and the healthcare system. This paper introduces the four pillars of HEALing, including specific interventions that may improve organizational cultures and aid in healing the system and the individual clinicians operating within it. Now more than ever in the era of COVID-19, solutions are needed to address this growing problem. Operating through the lens of positive psychology practices, informed by the unique culture of medical practice, healing our healers may be possible.
Cytogenotoxic Effect of Pesticides Induces Variability in Micronu- cleus and Nucleo-Cytoplasmic Abnormalities in Channa punctatus in vivo

Human being is the climax victim of each and every environmental pollutant directly/indirectly either naturally born or anthropogenic . Increase in human population and development puts immense stress on protection of crops by pesticides for high yielding to maintain food scarcity throughout the world. Industrial activities and agricultural drainage multi folded pollution, [2-5] discharging waste waters [6,7] to water bodies. These are responsible for multiple effects in the ecosystem and biodiversity in broad range. Carcinogenic and mutagenic compounds effect individual and may be active through following generations. Epizootic neoplasm have been found in a variety of exothermic species, such as shell fish, echinoderms, jawless and bony fish . Fish is excellent model for the study of the clastogenic, mutagenic and/or carcinogenic potential of contaminants present in water samples since they can metabolize, concentrate and store water borne pollutants [9-11] similar way to higher vertebrates like human. The main application of fish as a model is to determine the distribution and effects of chemical contaminants in the aquatic environment [12,13] to assess the genotoxicity of water in the field as well as in the laboratory.
Extremely Deep Proofs

We further the study of supercritical tradeoffs in proof and circuit complexity, which is a type of tradeoff between complexity parameters where restricting one complexity parameter forces another to exceed its worst-case upper bound. In particular, we prove a new family of supercritical tradeoffs between depth and size for Resolution, Res ( k ) , and Cutting Planes proofs. For each of these proof systems we construct, for each c ≤ n 1 − ε , a formula with n O ( c ) clauses and n variables that has a proof of size n O ( c ) but in which any proof of size no more than roughly exponential in n 1 − ε /c must necessarily have depth ≈ n c . By setting c = o ( n 1 − ε ) we therefore obtain exponential lower bounds on proof depth; this far exceeds the trivial worst-case upper bound of n . In doing so we give a simpliﬁed proof of a supercritical depth/width tradeoff for tree-like Resolution from [31]. Finally, we outline several conjectures that would imply similar supercritical tradeoffs between size and depth in circuit complexity via lifting theorems.
Design and evaluation of multi-resonant unit cells based on liquid crystals for reconfigurable reflectarrays

A multi-resonant unit-cell based on liquid crystals is proposed for reconfigurable reflectarray antennas. The proposed reflectarray element is made up of three parallel dipoles in the same cell and a tunable liquid crystal as substrate. The performance of the multi-resonant unit cell is compared with that of a single-resonant element in a frequency band from 30 to 40 GHz, showing a significant improvement in bandwidth, range of phase and losses. For a commercial liquid crystal, the proposed element provides a phase range greater than 360 within a 7.4 bandwidth and losses lower than 4.7 dB. These results represent a significant improvement with respect to the single-resonant unit cell based on the same liquid crystal. Finally, the proposed multi-resonant element is validated by measuring the phase response and losses in an X-band waveguide simulator.