Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Thermal Comfort in a Building Heated with a Tiled Fireplace with the Function of Heat Accumulation

Thermal comfort determines the state of satisfaction of a person or group of people with thermal conditions of the environment in which the person or group of persons is staying. This state of satisfaction depends on the balance between the amount of heat generated by the body’s metabolism, and the dissipation of heat from the body to the surrounding environment. Due to differences in body build, metabolism, clothing etc. individuals may feel the parameters of the environment in which they are staying differently. Therefore, it is impossible to ensure the thermal comfort of all users of the room. However, properly designed building systems (heating, ventilation, air conditioning) allow for creating optimal thermal conditions that will evaluated positively by the vast majority of users. Due to the fact that currently we spend even 100% of the day indoors, the subject becomes extremely important. The article presents the evaluation of thermal comfort in rooms heated with a tiled fireplace with the function of accumulation of heat using the PMV (Predicted Mean Vote) and PPD (Predicted Percentage Dissatisfied) indices. It also presents the results of studies, on the quality of the micro-climate in such spaces. The system of heating premises described in the article is not a standard solution, but is now more and more commonly used as a supplement to the heating system, or even as a primary heating system in small objects, e.g. single-family houses, seasonal homes, etc. The studies comprised the measurements and analysis of typical internal micro-climate parameters: temperature, relative humidity and CO2 concentration. The results obtained did not raise any major reservations. In order to fully assess the conditions of use, the evaluation of thermal comfort of the analyzed rooms was made. Therefore, additionally the temperature of radiation of the surrounding areas, and the insulation of the users’ clothing was determined. Based on the data obtained, the PPD and PMV indices were determined according to EN ISO 7730: 2005 Ergonomics of the thermal environment - Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria [1]. The obtained PMV values did not fit within the limits of thermal comfort, and the percentage of people dissatisfied reached almost 20%.
Transitar la frontera: Fricciones, desencadenantes y oportunidades para la integración de conocimientos en proyectos de Acción Social

La integración de conocimientos se plantea como la capacidad de agrupar diversos cuerpos de saberes para resolver problemas complejos y facilitar la innovación. El objetivo del texto es dilucidar posibles fricciones, desencadenantes y oportunidades para fomentar procesos de integración entre los responsables de los diversos proyectos de Acción Social como una estrategia de innovación social en el contexto académico. La metodología implicó la recolección de información mediante dos fuentes primarias: primeramente, se aplicaron entrevistas a una muestra de dieciséis informantes calificados, a partir del análisis de los datos recolectados se realizó una categorización y se detectaron necesidades que permiten identificar doce oportunidades de “Innovación guiada por resultados” (Ulwick, 2014). En una segunda etapa de investigación, esas doce oportunidades se incorporaron en un cuestionario en el que se solicitó a una muestra de veinticinco informantes la calificación del grado de satisfacción y del grado de importancia mediante una escala de Likert de cinco puntos sobre cada oportunidad. Conjuntamente se revisaron publicaciones relacionadas con la gestión y transferencia de conocimientos. Los resultados de esta identificación exploratoria muestran que algunos desencadenantes para la integración se dan bajo condiciones emergentes, el sentido del deber y el propósito. La colaboración entre pares se da en la medida en que las necesidades básicas de seguridad, beneficio percibido y reciprocidad son satisfechas. La cuantificación de resultados demuestra la necesidad de brindar formación y motivación para implicarse en procesos integradores que resulten en mayor innovación. Por último, se plantean consideraciones para el análisis prospectivo del caso.
‘Imagine talking about politics in a kids’ game’: Making sense of #BLM in Nintendo’s Splatoon 2

On Twitter and other established digital social networks, references to the Black Lives Matter movement almost doubled after George Floyd’s murder (see Giorgi et al., 2020, ‘Twitter corpus of the #blacklivesmatter movement and counter protests: 2013 to 2020’), alongside a similar rise in references to the counter-protest terms ‘All Lives Matter’ and ‘Blue Lives Matter’. Around the same time, the authors found online players of Splatoon 2 (Nintendo) expressing Black Lives Matter sentiments when using in-game design tools. These messages quickly disappeared in the game space to be replaced by longer-lived political content relating to LGBTQ+ activist sentiments and other non-political messaging. This visual essay provides documentation of memes captured by one of the authors between 6 and 14 March 2020 and discussion of their significance as data. The authors conclude that, despite being digital artefacts, Splatoon posts may be better understood using Cramer’s ‘What Is “Post-digital”’ (2014) reading with different characteristics from normal digital activism artefacts. The visual form attempts to underline the visual character of these post-digital artefacts, which contain no machine-readable textual content or metadata. Nevertheless, they represent a form of community discourse that is little examined and that the authors suggest should be documented and researched despite its awkward data structure.
Interspinous Process Devices Do Not Reduce Intervertebral Foramina and Discs Heights on Adjacent Segments

Aim Interspinous process device (IPD) placement is an attractive treatment option for lumbar spinal and foraminal stenosis. The goal of the treatment is to release the stress on facets joints as well as decompress the nerve roots by enlarging the intervertebral foramina and narrowed canal recesses. Purpose To evaluate possible structural changes in the lumbar spine after implantation of an IPD on operated and adjacent segments. Patients and Methods Twenty-two patients were enrolled in the study. Preoperative MRI scans of the lumbar spine evaluated recess and foraminal stenosis prior to the application of an IPD. CT exams were performed and morphometric measurements were made to assess the size of intervertebral foramina after implantation on the operated and adjacent segments. Results Statistically significant enlargements in diameter and surface area of the intervertebral foramen were seen at the operating level. On the right and left sides, foraminal enlargement after the procedure was 1 mm in diameter. The average enlargement of the foramina surface area at the level of implantation was 10 mm2. The median interspinous distance was significantly enlarged by 3.5 mm. No significant changes in adjacent segments were observed. Clinical improvement was confirmed by the Oswestry Disability Index (ODI) and visual analog scale (VAS). Preoperative disability was reduced (mean ODI from 70.5 (12.25) to 49.5 (23.75)), as well as back pain (mean VAS from 8.0 (1.7) to 4.4 (2.6)) and pain in lower limbs (mean VAS from 7.4 (1.9) to 3.8 (2.9)). Conclusion Decompression surgery using an IPD is effective in the treatment of lumbar foraminal and canal stenosis. It provides relief of symptoms in short-term observation through enlargement of intervertebral foramina and decompression of neural roots. It reduces overload of facet joints of the operated segment and does not decrease the size of the intervertebral foramina and disc heights of adjacent segments.
RealVR: Efficient, Economical, and Quality-of- Experience-Driven VR Video System Based on MPEG OMAF

Recent years have witnessed the explosion of virtual reality (VR) videos and applications. This new form of media grants us the precious freedom we never had before to look at any directions of the video content. With such privilege, our desires for higher video resolution and frame-rate, better visual quality, and smoother watching experience have remarkably risen. However, VR videos occupy an astronomical amount of data, which poses unprecedented challenges to computation efficiency, deployment cost, and user experience of the system. In this paper, we propose RealVR, an end-to-end tile-based VR video system that faces and tackles such challenges. With all essential procedures from the initial capturing to the ultimate rendering included, the system is designed, implemented, and configured specifically to achieve the best balance among efficiency, economy, and quality-of-experience (QoE). It leverages the promising international VR standard, MPEG OMAF, to process and deliver 8K 60 fps VR video, but is also improved for much better performance and user experience than the pristine standard, especially for reducing the motion-to-high-quality (MtHQ) latency. It does not rely on additional expensive edge servers to offer an immersive user experience, which makes it more economical than many other works. Through extensive experiments, it is proven that RealVR can significantly improve the MtHQ experience and save bandwidth consumption without compromising on encoding efficiency or application cost, maximizing the user‘s freedom.
Recent Advances in Aerobic Photo-Oxidation over Small-Sized IB Metal Nanoparticles

Aerobic photo-oxidation is a kind of green catalytic process that give valuable chemicals because of its mild reaction conditions and high product selectivity. Recently, small-sized IB metal nanoparticles (NPs; e.g., Cu, Ag, and Au, sized 1–3 nm) upon the surface of titanium oxide show excellent photocatalytic performance. The introduction of IB metal NPs can enhance the separation of photo-generated holes/electrons during photo-oxidations. In this account, we summarize the recent progress of small-sized IB metal NPs catalyzed by aerobic photo-oxidations, including the conversion of methanol, ethanol, sulfide, and benzylamine. More importantly, the structure–property correlations at the atomic level are detailed and discussed, e.g., the insights into the activation of oxygen and the identification of catalytic active sites. Future investigations are needed to carry out and reveal the catalytic mechanisms and conversion pathways.
Vision‐based displacement measurement enhanced by super‐resolution using generative adversarial networks

Monitoring the deformation or displacement response of buildings is critical for structural safety. Recently, the development of computer vision has led to extensive research on the application of vision‐based measurements in the structural monitoring. This enables the use of urban surveillance video cameras, which are widely installed and can produce numerous images and videos of urban scenes to measure the structural displacement. However, the structural displacement measurement may be inaccurate owing to the limited hardware resolution of the surveillance video cameras or the long distance from the cameras to the monitored targets. To this end, this study proposes a method to improve the displacement measurement accuracy using a deep learning super‐resolution model based on generative adversarial networks. The proposed method achieves texture detail enhancement of low‐resolution images or videos by supplementing high‐resolution photographs of the target, thus improving the accuracy of the vision‐based displacement measurement. The proposed method shows good accuracy and stability in both the static and dynamic experimental validations compared with the original low‐resolution images/video and interpolation‐based super‐resolution images/video. In conclusion, the proposed method can support the displacement measurement of buildings and infrastructures based on urban surveillance video cameras.
SSTD: A Novel Spatio-Temporal Demographic Network for EEG-Based Emotion Recognition

Emotion recognition is the key to making machines more intelligent. This study proposes a novel sing-link end-to-end spatio-temporal demographic network (SSTD) that fuses spatial, temporal, and demographic information for electroencephalography (EEG)-based emotion recognition. In the SSTD model, an adaptive time window using single-link hierarchical clustering based on Riemannian metrics was realized for data preprocessing to solve the problem of individual differences. Then, the preprocessed EEG data acted as a gate recurrent unit (GRU) network input to calculate high-level time-domain features. At the same time, the EEG covariance matrices were fed into the symmetric positive definite matrix network (SPDNet) to calculate high-level spatial features. Given the correlation between EEG signals and individual demographic information, gender and age factors were integrated into the spatio-temporal model, resulting in more effective high-level features for EEG-based emotion recognition. Finally, extensive comparative experiments were conducted on two public datasets: DEAP and DREAMER. The average accuracy of valence and arousal on the DEAP dataset are 68.28% and 71.48%, respectively. The average accuracy of valence and arousal on the DREAMER dataset are 76.81% and 81.64%, respectively. Experimental results show that the SSTD model has an excellent recognition performance.
Training of future psychologists on suicide prevention among adolescents based on work with parents

The aim of this study is to reveal the views of future psychologists on the training of suicide prevention among adolescents based on work with parents. The study was designed with a phenomenology pattern. The study data were collected with a semi-structured interview form prepared with questions suitable for the purpose of the study. The sample of the study consisted of psychologist candidates studying in Kazakhstan. As a result of the research, among the answers given to the question about the causes of suicide in adolescents were family, loneliness, hopelessness, psychological problems and temperament, and most of the participants answered psychological problems. Among the answers given to the question about determining what should be done in order to prevent suicide in adolescents based on working with parents were family education, early diagnosis, guidance of adolescents, prevention of alcohol and substance consumption, and the majority of the participants answered family education. The majority of the participants in the closed-ended question about the determination of the proficiency of future psychologists in preventing suicide in adolescents based on working with parents stated ‘I definitely do not find it sufficient’. Among the answers given to the question about increasing efficacy in preventing suicide in adolescents based on working with parents were in-service trainings, experience and practice for disadvantaged groups, and the majority of the participants answered the question as in-service trainings. Keywords: Suicide, adolescent, parent, education;
Finite element quantitative analysis and deep learning qualitative estimation in structural engineering

In the past two decades, finite element method (FEM) has been widely used to study mechanics of solids, fluid–structure interactions, and building construction strategies. FEM has been rapidly grown all over the world due to development of computer technology. Computer has much more powerful computing capability than humans. However, structural engineering education not only focused on teaching engineers to use FEM as computation tool, but also concentrated on cultivating engineers’ capability of experience-based qualitative analysis. In addition, artificial intelligence techniques have been rapidly developed in recent years. It is demonstrated that human experience-based capabilities might also be replaced by deep learning methods in various game-playing areas. Thus, this study aims at exploring what role artificial intelligence techniques will play in the futural structural analysis area. In this paper, several finite element analyses are carried out for three representative boundary value problems, such as tightly stretched wires under loading, soil seepage, and plane stress. Corresponding deep neural networks are trained using FEM simulation data to quickly and accurately predict results of relevant problems. It is indicated that to some extent artificial intelligence technique might replace human experience-based qualitative analysis as a surrogate of FEM.
The role of pro-resolution mediators in human parturition

Preterm labour and dysfunctional term labour lead to the most pre-eminent problems in obstetric practice today. We currently lack effective strategies for preventing spontaneous preterm labour, and prematurity remains the leading cause of perinatal morbidity and mortality. In contrast, some women do not labour effectively at term, or pregnancy becomes prolonged, both ofwhich increase the risk of caesarean section, rates ofwhich are on the rise in this country. Human labour is an inflammatory process, characterised by an influx of inflammatory cells into the myometrium and cervix at the onset of labour, and an increase in production ofproinflammatory cytokines and expression of cell adhesion molecules. A substantial body of evidence has now accumulated in support of this theory, but relatively little attention has yet focused on anti-inflammatory pathways within this process. The resolution of inflammation is now recognised to be an active process, driven by a variety of endogenous pro-resolution factors. These include the lipid mediator lipoxin A4 (LXA4), derived from arachidonic acid and signalling through a G-protein coupled receptor, a member of the formyl peptide receptor family, FPR2/ALX. Another is Annexin A1 (ANXA1), a glucocorticoid-regulated peptide that also signals via FPR2/ALX. The aim of this thesis was to explore the role of these anti-inflammatory and pro-resolution mediators in myometrial and placental tissues and examine what role they may have within the inflammatory process of labour. Expression of the receptor FPR2/ALX and enzymes involved in the synthesis of LXA4 was determined by quantitative RT-PCR in labouring and non-labouring tissues of the reproductive tract and FPR2/ALX was localised in these tissues using immunohistochemistry. It was found that expression of the receptor and the enzyme 5-lipoxygenase (ALOX5) were upregulated in labouring tissues and that the receptor localised primarily to immune cells. A microarray and functional genomics were used to examine inflammation in myometrium and interesting parallels were drawn between artificially-induced inflammation and the process of labour, identifying pathways of interest for further study. Myometrial tissue was cultured in hypoxia, a
Blind Estimation of the Reverberation Fingerprint of Unknown Acoustic Environments

Methods for blind estimation of a room’s reverberation properties have been proposed for applications including speech dereverberation and audio forensics. In this paper, we evaluate algorithms for online estimation of a room’s “reverberation fingerprint”, defined by its volume and its frequency-dependent diffuse reverberation decay time. Both quantities are derived adaptively by analyzing a single-microphone reverberant signal recording, without access to acoustic source reference signals. The accuracy and convergence of the proposed techniques is evaluated experimentally against the ground truth obtained from geometric and impulse response data. The motivations of the present study include the development of improved headphone 3D audio rendering techniques for mobile computing devices.
The Laplace operator on a hyperbolic manifold. II. Eisenstein series and the scattering matrix.

On considere des varietes M isometriques au quotient de l'espace hyperbolique a n dimensions H n par un groupe discret geometriquement fini T sans elements paraboliques et sans elements d'ordre fini. On demontre que la serie de Eisenstein associee admet un prolongement mesomorphe au plan complexe et on etudie l'operateur diffusion associe
CALMODULIN1 and WRKY53 Function in Plant Defense by Negatively Regulating the Jasmonic Acid Biosynthesis Pathway in Arabidopsis

Jasmonic acid (JA) is an important hormone that functions in plant defense. cam1 and wrky53 mutants were more resistant to Spodoptera littoralis than in the wild-type (WT) Arabidopsis group. In addition, JA concentration in cam1 and wrky53 mutants was higher compared with the WT group. To explore how these two proteins affect the resistance of Arabidopsis plants, we used a yeast two-hybrid assay, firefly luciferase complementation imaging assay and in vitro pull-down assay confirming that calmodulin 1 (CAM1) interacted with WRKY53. However, these two proteins separate when calcium concentration increases in Arabidopsis leaf cells. Then, electrophoretic mobility shift assay and luciferase activation assay were used to verify that WRKY53 could bind to lipoxygenases 3 (LOX3) and lipoxygenases 4 (LOX4) gene promoters and negatively regulate gene expression. This study reveals that CAM1 and WRKY53 negatively regulate plant resistance to herbivory by regulating the JA biosynthesis pathway via the dissociation of CAM1-WRKY53, then the released WRKY53 binds to the LOXs promoters to negatively regulate LOXs gene expression. This study reveals WRKY53′s mechanism in insect resistance, a new light on the function of WRKY53.
Analysis of Risk Factors of Coagulation Dysfunction and Hemorrhage in Newly Diagnosed Hyperleukocytic Acute Myeloma Leukemia

Purpose To explore whether and why abnormal coagulation function and hemorrhage can appear in patients with hyperleukocytic acute myeloid leukemia (HAML). Method We retrospectively reviewed the charts of 724 acute myeloid leukemia (AML) patients admitted with a white blood cell count of >100 × 109/L between 2010 and 2019 in order to analyze the coagulation index of patients with HAML and explore the correlation of abnormal coagulation. Result Prothrombin time (PT) was extended in group HAML compared with group non-HAML. Respiratory failure, intracranial hemorrhage, and infection were more common in the HAML group. Among the 76 HAML patients, there were 33 patients who had ≥3 abnormal items of coagulation index, and 51.5% of them had level 2 hemorrhage which was more than level 0 hemorrhage, and the difference is statistically significant (P < 0.01). Similarly, we can discover that 40.9% of patients with 2 abnormal items had level 2 hemorrhage in contrast to 0 abnormal items. The use of hydroxyurea had a significant effect on PT and D-dimer (DD). Survival analysis by the Kaplan–Meier method showed that there were statistically significant differences in white blood cell (WBC) count＞200 × 109//L and DD. Abnormal PT is associated with WBC count＞200 × 109//L, and abnormal activated partial thromboplastin time (APTT) is associated with HLA-DR mutation. Infection and respiratory failure were independent influencing factors for the coagulation of patients. Conclusion DD had a marked effect on the survival rate. Infection and respiratory failure were independent influencing factors for the coagulation of patients.