Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-Power Transit Time-Based Gas Flow Sensor with Accuracy Optimization

In this paper, a fully designed ultrasonic transit time-based gas flow sensor is presented. The proposed sensor has been optimized in terms of accuracy, sensitivity, and power consumption at different design stages: mechanical design of the sensor pipe, piezoelectric transducer configuration and validation over temperature, time of flight detection algorithm, and electronics design. From the optimization and integration of each design part, the final designed gas flow sensor is based on the employment of 200 kHz-piezoelectric transducers mounted in a V-configuration and on the implementation of a cross-correlation algorithm based on the Hilbert Transform for time-of-flight detection purposes. The proposed sensor has been experimentally validated at different flow rates and temperatures, and it fully complies with the accuracy specifications required by the European standard EN14236, placing the proposed design into the state of the art of ultrasonic gas flow sensors regarding cost, accuracy, and power consumption, the latter of which is crucial for implementing smart gas meters that are able to autonomously operate as IoT devices by extending their battery life.
Diabetes has no additional impact on retinal ganglion cell loss in a mouse model of spontaneous glaucoma

Purpose There is no valid medical treatment for diabetic retinopathy mostly because its pathogenesis remains largely unknown. Early stages of diabetic retinopathy, just like glaucoma, are characterized by the loss of retinal ganglion cells. Whether the two diseases may share a similar pathogenic background is unknown. Methods To clarify this issue the thickness of retinal nerve fiber layer was studied in vivo by optical coherence tomography in 10 Ins2Akita (diabetic) and 10 C57BL/6J (control) mice. The number of retinal ganglion cells and retina's surface covered by neurofilaments were quantified ex vivo in 12 normoglycemic DBA/2J (glaucoma) and 11 diabetic (alloxan-induced) DBA/2J mice (glaucoma + diabetes). Results At 16 weeks of age retinal nerve fiber layer was significantly thinner in Ins2Akita mice confirming the neurodegenerative impact of diabetes. Number of retinal ganglion cells and retina's surface covered by neurofilaments were similar in normoglycemic and diabetic DBA/2J mice with the exception of the superior quadrant where the number of retinal ganglion cells was increased in animals with glaucoma + diabetes. Conclusions In presence of glaucoma, diabetes is unable to induce further retinal ganglion cells loss. The hypothesis that the mechanism leading to retinal ganglion cells loss may be shared by the two diseases cannot be ruled out. Whether early diabetes-driven retinal neurodegeneration could be prevented by neuroprotective treatment proven to be effective in case of glaucoma, remains to be clarified.
Talbot assisted hexagonal beam patterning in a thin liquid crystal film with a single feedback mirror at negative distance

We investigate experimentally the generation of hexagonal patterns of filaments in a laser beam traversing a thin liquid crystal cell placed in front of a single ‘‘virtual mirror. ’’ This mirror is the image of a real mirror and is placed either in front of or behind the cell. The results clearly support the physical idea that the Talbot effect governs the phenomenon. Edge effects due to the limited width of the pump beam are accounted for both theoretically and experimentally.
In Vitro Assessment on Designing Novel Antibiofilms of Pseudomonas aeruginosa Using a Computational Approach

An anti-biofilm that can inhibit the matrix of biofilm formation is necessary to prevent recurrent and chronic Pseudomonas aeruginosa infection. This study aimed to design compounds with a new mechanism through competitive inhibitory activity against phosphomannomutase/phosphoglucomutase (PMM/PGM), using in vitro assessment and a computational (in silico) approach. The active site of PMM/PGM was assessed through molecular redocking using L-tartaric acid as the native ligand and other small molecules, such as glucaric acid, D-sorbitol, and ascorbic acid. The docking program set the small molecules to the active site, showing a stable complex formation. Analysis of structural similarity, bioavailability, absorption, distribution, metabolism, excretion, and toxicity properties proved the potential application of ligands as an anti-biofilm. In vitro assessment with crystal violet showed that the ligands could reach up to 95.87% inhibition at different concentrations. The nitrocellulose membrane and scanning electron microscopic visualization showed that the untreated P. aeruginosa biofilm was denser than the ligand-treated biofilm.
Lean Mass is Associated with, but Does Not Mediate Sex Differences in Pressure Pain Sensitivity in Healthy Adults

Background Sex differences exist in pain sensitivity, however, the underlying mechanism(s) that explain these differences are not fully understood. Pain sensitivity has been shown to be influenced by body mass index, but limited data exist on the role of body composition on pain sensitivity. The purpose was to examine the influence of body composition on pain sensitivity in males and females. Methods This cross-sectional study design used pressure pain thresholds (PPT) of 87 participants (45 female) who were assessed in the vastus lateralis (leg PPT) and brachioradialis (arm PPT) using a pressure algometer. Fat and lean tissue were assessed via dual-energy X-ray absorptiometry (DXA). A two group by two limb, repeated measured ANOVA was used to assess differences between limbs and sex. Spearman correlations and hierarchical regression analyses were employed to determine the association between body composition and PPT. Results Males had higher PPTs then females (P<0.05) and had higher DXA assessed lean and lower levels fat mass (P<0.05). Total body and limb specific lean mass was associated with PPTs (r≥0.34; P<0.05). Hierarchical regression analysis revealed lean mass was a significant predictor of 8% of the variance in arm PPT (P<0.006) and 18% of the variance in leg PPT (P<0.001). However, lean mass was not found to statistically mediate the observed sex differences in PPT. Conclusion This finding suggests lean mass may play a previously unknown role in sex differences in pressure pain sensitivity. Future studies are needed to confirm this finding and a larger sample size is likely required to have sufficient power to perform the mediation analysis.
Unremitting Suicidality in Borderline Personality Disorder: A Single Case Study and Discussion of Technology in Clinical Care

CASE HISTORYAND TREATMENT This report presents the case of a young woman, “Jane. ” The case is followed by commentary from three experts in suicidal or self-destructive behavior and the use of technology in clinical care. Jane is a college-aged female with a diagnosis of borderline personality disorder (BPD) and a history of repetitive self-harm, including head banging and cutting, as well as chronic, unremitting suicidal ideation. Jane had been in an intensive residential program for many months, and during this time she was stepped up to inpatient psychiatric hospitalization multiple times due to concerns about safety. Jane had a history of multiple suicide attempts while in outpatient, residential, and inpatient settings.Most of these attempts occurred on hospital units using methods like self-strangulation with available objects, self-suffocation, and self-starvation. Upon discharge from her last inpatient psychiatric admission, Jane was admitted to an intensive specialized residential program for adult women with borderline and other severe personality disorders. This unit integrates evidence-based treatments includingdialectical behavior therapy (DBT),mentalization based treatment (MBT), and good psychiatric management (GPM). The standard treatment protocol includes daily DBT diary cards, check-ins with the program’s 24-hour counselors,
Nuclear quests for supernova dynamics and nucleosynthesis

Nuclear physics plays a crucial role in various aspects of core collapse supernovae. The collapse dynamics is strongly influenced by electron captures. Using modern many‐body theory improved capture rates have been derived recently with the important result that the process is dominated by capture on nuclei until neutrino trapping is achieved. Following the core bounce the ejected matter is the site of interesting nucleosynthesis. The early ejecta are proton‐rich and give rise to the recently discovered νp‐process. Later ejecta might be neutron‐rich and can be one site of the r‐process. The manuscript discusses recent progress in describing nuclear input relevant for the supernova dynamics and nucleosynthesis.
Analyse der sozialen Folgen von digitalen Technologien für Betriebe in der kleinstrukturierten Landwirtschaft

So far, only few results are available regarding the social consequences of digital technologies for everyday work in small-scale agriculture. At the same time, farmers often have little information to assess what to expect after investing in digital technologies. However, information on possible consequences becomes more and more relevant to support farmers in a targeted way and to increase acceptance. This article examines the possible consequences using the technology assessment approach, taking Baden-Württemberg as an example. For this purpose, we conducted 38 qualitative expert interviews and analyzed them qualitatively and content-wise. The results show technology- specific social consequences (e.g. for work, family) and possible solutions for (family) farms in small scale agriculture. They provide useful information for industry, trade, politics, education, and consulting.
A study of stock returns based on ARMA-GARCH model: Taking the CSI 300 Index as an example

This paper selects the daily return data of CSI 300 index from January 2, 2014 to September 30, 2020 to study the characteristics of CSI 300 index return volatility. An ARMA(3,3) model was fitted to the daily log returns of the CSI 300 index using R software, and the ARCH effect was found to exist. The returns were then fitted with an ARMA(3,3)-GARCH(1,1) model, the model fitting effect was tested, and finally the short-term returns of the CSI 300 index were predicted. The results of the empirical analysis show that the CSI 300 index return series has characteristics such as non-normal distributivity, spikes and thick tails, and aggregation.
Evaluation of two models for predicting Amazon stock based on machine learning

With the fast growth of artificial intelligence and technology, the use of machine learning techniques in financial markets is gaining popularity. As a result, many opportunities arise, such as predicting future stock movements. Financial markets are complex and constantly evolving environments, so analyzing them can be challenging and interesting. There are no specific rules to predict or estimate the value of a stock in the stock market, so one can do stock price prediction by various methods. In this project, the stock price data of Amazon for the past five years, ‘Date’, ‘Starting price’, ‘Closing price’, ‘Highest price’, ‘Lowest price’, ‘Adjusted close price’, and 'Volume’ are all included. The data were obtained from Yahoo Finance to predict the future stock price. Two forecasting models, the Linear Regression model, and the Long short-term memory model were analyzed, and based on the comparison of Mean Absolute Error, it was concluded that the LSTM forecasting model was shown to be more effective for forecasting the time-series data category.
Uygulamada Hidroksiklorokin Kullanımına Veda Öncesi: COVID-19’lu Çocuklarda Hidroksiklorokin Tedavisine İlişkin Güvenlik Verilerimizin Değerlendirilmesi

Objective: This study aimed to evaluate the adverse effects of hydroxychloroquine (HCQ) in children with COVID-19. Material and Methods: This study was conducted between MarchAugust 2020 at a referral tertiary hospital for pediatric infectious diseases in the Aegean Region of Turkey. All hospitalized children with COVID-19 who were received HCQ include in this study. An electrocardiogram (ECG) was performed prior to the initiation of HCQ and at certain times (first and 24th hours of HCQ administration and two hours after the final dose of HCQ) during treatment. Adverse effects associated with HCQ were evaluated during the hospitalization and also the first and second months after discharge. Results: A total of 62 children with COVID-19 who administered HCQ treatment were evaluated. Of these, 35 (56.5%) were girls and 27 (43.5%) were boys. The mean age 13.7 ± 3.0 years (range 6.0 to 18.0 years). Prior to the admission, none of the patients had arrhythmia, cardiovascular disease, or any cardiotoxic drugs usage. There was no abnormality on the baseline and following ECGs during the treatment with HCQ. Thirteen patients had nausea (20.9%) and 10 patients (17.7%) had mild abdominal pain. None of the patients had no arrhythmia. Conclusion: No cardiac side effects were observed in our patients. However, it is not possible to give a general statement on the safety data of HCQ therapy without any randomized controlled large-scale studies.
Counting metameric object-color stimuli using frequency-limited spectral reflectance functions

This paper is a supplementary article on counting metamers to one presented earlier in this journal. Whereas in the previous study the basic collection of object-color stimuli contained “jagged” spectral reflectance curves, including a great many that exhibit extreme reflectance variations within small spectral ranges, the present paper makes use of basic collections which contain “smooth” spectral reflectance curves generated by frequency-limited functions. The results obtained in the present study are similar to those obtained previously, particularly when the limiting frequency of the spectral reflectance functions is set at ω = 1/50. Such a limiting frequency leads to spectral reflectance curves of typically four oscillations within the visible spectrum, making them resemble practical spectral reflectance curves.
The Relationships of Creative Coping and College Students’ Achievement Emotions and Academic Stress: The Mediating Role of Psychological Capital

Creative coping is the use of creativity as a positive strategy when facing stress. The existing empirical investigation of creative coping is scarce, particularly in the field of educational psychology. The present study aims to explore the relationships of college students’ creative coping and their achievement emotions and academic stress as well as the underlying mechanism. The sample included 780 Chinese college students. The Creative Coping Scale, Positive Psychological Capital Questionnaire, Learning Stress Inventory for College Students, and the short version of the Achievement Emotions Questionnaire were used. Statistical results showed that creative coping was positively related with students’ positive achievement emotions and negatively related with negative achievement emotions, but insignificantly with academic stress. Moreover, psychological capital played a mediating role in the relationship between creative coping and achievement emotions and in the relationship between creative coping and academic stress with a suppression effect.
Research on data-driven control algorithm of automotive electronic control opening and closing system

This article presents a data-driven control algorithm for automotive electronic control opening and closing system. By collecting the data of various mixed complex working conditions, the automatic decision-making model is formed on the basis of data learning, which can reduce the design and research of the algorithm itself and improve the intelligence degree of ECU. The untrained data can be collected at any time to learn to get the new model, and the original model can be quickly replaced. According to a large number of data collected in complex mixed conditions, the control method has better adaptability, simplifies the electronic control algorithm, and has certain generality in the field of automotive electronics. This article takes the anti-pinch control of power lift door as an example, proposes a data-driven BP neural network anti-pinch force classification method, selects good data for network training, and the recognition accuracy reaches 99.7%. Based on DSPACE, the rapid prototype bench test results show that the anti-pinch forces are in the range of 70N-100N, which verifies the feasibility of the control method.
Congressional Bargaining and the Distribution of Grants

In the United States, state and local governments receive over $700 billion annually in federal grants, yet relatively little is known about how Congress designs these programs. I formalize a theory of congressional bargaining over grants and test the theory using an original dataset of Senate amendments. The results suggest that congressional rules and political considerations shape, and at times distort, federal grant programs. While grant programs may be intended to improve education or provide healthcare, I ﬁnd that members of Congress treat these programs as opportunities to procure more funding for their constituents. Further, I show how coalitions are shaped by the status quo policy and the distribution of population, poverty, and other measures of need across states. These results have important implications for our understanding of the policymaking process and the eﬀectiveness of federal programs.
Large Solutions to Elliptic Systems of ∞ -Laplacian Equations

— In this paper, we study the existence, uniqueness and boundary behavior of positive boundary blow-up solutions to the quasilinear system Δ ∞ u = a ( x ) u p v q , Δ ∞ v = b ( x ) u r v s in a smooth bounded domain Ω ⊂ R N , with the explosive boundary condition u = v = + ∞ on ∂ Ω , where the operator Δ ∞ is the ∞ -Laplacian, the positive weight functions a ( x ) , b ( x ) are H ¨ older continuous in Ω , and the exponents verify p , s > 3 , q , r > 0 , and ( p − 3)( s − 3) > qr .
The Intentionality of emotions and the possibility of unconscious emotions

Two features are often assumed about emotions: they are intentional states and they are experiences. However, there are important reasons to consider some affective responses that are not experienced or only partly experienced as emotions. But the existence of these affective responses does not sit well with the intentionality of conscious emotions which are somehow geared towards their object. We therefore face a trilemma: either these latter affective responses do not have intentional objects and we should renounce intentionality as a defining feature of emotions; or we have to explain how they actually have intentional, though unconscious, objects; or after all we must deny that they are really emotions. I suggest that the second option is the correct one: we can provide an account of the intentionality of unconscious emotions and its relation to the intentionality of conscious emotions. To do this, I rely on neuropsychological studies that distinguish two kinds of attention: salience as enriched treatment, and focus as a way of turning our attention. Then, given that only salience is always present in unconscious emotional phenomena, I suggest that emotions are intentional because they involve an object being made salient. I further argue that this feature of emotions explains why unconscious and conscious emotions can be taken as organized around their object. Finally, I defend this account against several objections, showing that the account can be applied whatever the cognitive base of the emotions may be and is not falsified by the fact that attentional aspects of emotions may vary in other dimensions.
The Molecular Envelope of the Helix Nebula

We present a fully sampled map of the Helix Nebula in the 1.3 mm CO J = 2-1 line, made using the Caltech Submillimeter Observatory. The angular resolution is 31'', and the velocity resolution is 1.5 km s-1. The CO emission is found to extend over a region ~1000′′ × 800′′ and delineates the well-known double ring or "helix" seen in optical images of the ionized gas. Our observations provide the first complete view of the global kinematics of the envelope and reveal the three-dimensional structure of the gas. The helix is seen to be an expanding, equatorial ring around the ionized nebula, with arcs extending to higher latitudes and exhibiting remarkable point symmetries about the central star. The molecular gas is fragmented into many small condensations with narrow line widths (~1 km s-1). The close relationship found between the structure of the envelope and the ionized nebula underscores the important role of neutral gas in determining the morphology of planetary nebulae. The point symmetries provide evidence for early shaping of the envelope by bipolar outflows or jets.
First Identification of a Large Set of Serine Hydrolases by Activity-Based Protein Profiling in Dibutyl Phthalate-Exposed Zebrafish Larvae

Despite the involvement of several serine hydrolases (SHs) in the metabolism of xenobiotics such as dibutyl phthalate (DBP), no study has focused on mapping this enzyme class in zebrafish, a model organism frequently used in ecotoxicology. Here, we survey and identify active SHs in zebrafish larvae and search for biological markers of SH type after exposure to DBP. Zebrafish were exposed to 0, 5, and 100 µg/L DBP from 4 to 120 h post-fertilization. A significant decrease in vitellogenin expression level of about 2-fold compared to the control was found in larvae exposed to 100 µg/L DBP for 120 h. The first comprehensive profiling of active SHs in zebrafish proteome was achieved with an activity-based protein profiling (ABPP) approach. Among 49 SHs identified with high confidence, one was the carboxypeptidase ctsa overexpressed in larvae exposed to 100 µg/L DBP for 120 h. To the best of our knowledge, this is the first time that a carboxypeptidase has been identified as deregulated following exposure to DBP. The overall results indicate that targeted proteomics approaches, such as ABPP, can, therefore, be an asset for understanding the mechanism of action related to xenobiotics in ecotoxicology.
IS VIETNAMESE A HARD LANGUAGE?

Is learning Vietnamese difficult? Conventional wisdom has it that Vietnamese is "a very difficult language. " Many Vietnamese believe that it's pretty much impossible for foreigners to master their language. A quick search in Google for phrases like tiếng Việt khó ('Vietnamese is difficult') yields tens of thousands of hits. According to George Milo: The supposed difficulty of Vietnam’s official language is a point of national pride amongst its 90 million inhabitants, and locals are happy to tell you “tiếng Việt khó! ” (Vietnamese is hard) at every possible opportunity.
Visual feedback control of rigid body motion base on dissipation theoretical approach

This paper investigates the relative rigid motion (positions and orientations) control problem with visual informations. The vector field of the special Euclidean space, SE(3), gives us the relative motion model. We then define the error function on the rotational matrix group, SO(3). The error function derives the visual feedback control of the relative motion. Next, the stability and L/sub 2/ gain performance analysis of the proposed visual feedback control algorithm are treated via the dissipative system theory.
Dynamics towards synchronization in hierarchical networks

We review some of the results obtained in our group in recent years concerning the dynamical behavior of phase oscillators in networks with a hierarchical structure. The dynamics highlights the role of communities at all levels. At the same time, by analyzing the resulting dynamical evolution we can infer details about the topological structure of the system. Thus a link between dynamical and topological properties of complex systems is established.