Miracle-dz/UniFAR-FTUs huggingface dataset:
A Learning Control Method of Automated Vehicle Platoon at Straight Path with DDPG-Based PID

Cooperative adaptive cruise control (CACC) has important significance for the development of the connected and automated vehicle (CAV) industry. The traditional proportional integral derivative (PID) platoon controller adjustment is not only time-consuming and laborious, but also unable to adapt to different working conditions. This paper proposes a learning control method for a vehicle platooning system using a deep deterministic policy gradient (DDPG)-based PID. The main contribution of this study is automating the PID weight tuning process by formulating this objective as a deep reinforcement learning (DRL) problem. The longitudinal control of the vehicle platooning is divided into upper and lower control structures. The upper-level controller based on the DDPG algorithm can adjust the current PID controller parameters. Through offline training and learning in a SUMO simulation software environment, the PID controller can adapt to different road and vehicular platooning acceleration and deceleration conditions. The lower-level controller controls the gas/brake pedal to accurately track the desired acceleration and speed. Based on the hardware-in-the-loop (HIL) simulation platform, the results show that in terms of the maximum speed error, for the DDPG-based PID controller this is 0.02–0.08 m/s less than for the conventional PID controller, with a maximum reduction of 5.48%. In addition, the maximum distance error of the DDPG-based PID controller is 0.77 m, which is 14.44% less than that of the conventional PID controller.
The COVID-19 mRNA BNT163b2 Vaccine Was Well Tolerated and Highly Immunogenic in Young Adults in Long Follow-Up after Haematopoietic Stem Cell Transplantation

Sixty five patients (18–31 years) who had received allogeneic haematopoietic stem cell transplantation (3–27 years from HSCT) were evaluated for the tolerance and immunogenicity of the COVID-19 mRNA BNT163b2 vaccine. Methods: Patients were vaccinated with two doses at 5 weeks interval. After each dose, patients completed a survey concerning adverse events (AE) and anti-SARS-CoV-2 IgG antibodies were measured before the first vaccine dose (1stVD) and 14–21 days after the second dose (2ndVD). AE reported after 1stVD and 2ndVD, respectively were: fever 0%, 1.7%; fatigue 15.4%, 25.8%; headache 15.4%, 24.1%; chills 6.1%, 12.0%; muscle pain 15.4%, 24.1%; joint pain 3.0%, 6.9%; nausea 6.1%, 6.9%; pain at injection site 30.7%, 34.4%; swelling 3.0%, 10.3%; redness 0, 3.4%; pruritus 0, 5.2%; and axillary lymphadenopathy 3.0%, 1.7%. After 2ndVD, 96.5% patients were positive for anti-SARS-CoV-2 (GMC 3290.94 BAU/mL). No correlation presented between the antibody titer and symptoms of chronic Graft-versus-Host disease, total IgG, lymphocyte CD4+, or AE. Significantly higher titers were observed in COVID-19 convalescents, and inverse correlation (R2 = −0.0925, p = 0.02) between the time from HSCT and titers after 2ndVD was present. Conclusions: The young adults after HSCT tolerate the COVID-19 mRNA vaccine well and show immunologic response.
A Trust-Based Methodology to Evaluate Deep Learning Models for Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images

In the automatic diagnosis of ocular toxoplasmosis (OT), Deep Learning (DL) has arisen as a powerful and promising approach for diagnosis. However, despite the good performance of the models, decision rules should be interpretable to elicit trust from the medical community. Therefore, the development of an evaluation methodology to assess DL models based on interpretability methods is a challenging task that is necessary to extend the use of AI among clinicians. In this work, we propose a novel methodology to quantify the similarity between the decision rules used by a DL model and an ophthalmologist, based on the assumption that doctors are more likely to trust a prediction that was based on decision rules they can understand. Given an eye fundus image with OT, the proposed methodology compares the segmentation mask of OT lesions labeled by an ophthalmologist with the attribution matrix produced by interpretability methods. Furthermore, an open dataset that includes the eye fundus images and the segmentation masks is shared with the community. The proposal was tested on three different DL architectures. The results suggest that complex models tend to perform worse in terms of likelihood to be trusted while achieving better results in sensitivity and specificity.
Mesioangular impacted lower third molar angulation changes in non-extraction orthodontic treatment

The lower third molar is the most commonly impacted tooth, with higher prevalence in the mandibular and mesioangular angulation. In orthodontic patients, the observation of third molar impaction generally entails measurement of its angulation before and after treatment. This study aimed to determine mesioangular impacted lower third molar angulation changes in subjects with fixed orthodontic treatment in Teaching Dental Hospital, Faculty of Dentistry, Universitas Indonesia. 27 samples were selected and measured before and after treatment on panoramic radiograph using the Poosti method. The result showed an increase in angulation clinically on both sides of the jaw. Based on statistical analysis, however, these angulation changes were not significant (p > 0.05).
Car Ownership and the Built Environment: A Spatial Modeling Approach

Car ownership is linked to higher car use, which leads to important environmental, social and health consequences. As car ownership keeps increasing in most countries, it remains relevant to examine what factors and policies can help contain this growth. This paper uses an advanced spatial econometric modeling framework to investigate spatial dependences in household car ownership rates measured at fine geographical scales using administrative data of registered vehicles and census data of household counts for the Island of Montreal, Canada. The use of a finer level of spatial resolution allows for the use of more explanatory variables than previous aggregate models of car ownership. Theoretical considerations and formal testing suggested the choice of the Spatial Durbin Error Model (SDEM) as an appropriate modeling option. The final model specification includes sociodemographic and built environment variables supported by theory and achieves a Nagelkerke pseudo-R2 of 0.93. Despite the inclusion of those variables the spatial linear models with and without lagged explanatory variables still exhibit residual spatial dependence. This indicates the presence of unobserved autocorrelated factors influencing car ownership rates. Model results indicate that sociodemographic variables explain much of the variance, but that built environment characteristics, including transit level of service and local commercial accessibility (e.g., to grocery stores) are strongly and negatively associated with neighborhood car ownership rates. Comparison of estimates between the SDEM and a non-spatial model indicates that failing to control for spatial dependence leads to an overestimation of the strength of the direct influence of built environment variables.
Photodegradation of Stearic Acid Adsorbed on Copper Oxide Heterojunction Thin Films Prepared by Magnetron Sputtering

Nanocrystalline copper oxide thin films were fabricated by reactive DC magnetron sputtering. The structure and optical properties of the films were measured with X-ray diffraction, scanning electron microscopy, and spectrophotometry. Variations of oxygen partial pressure resulted in oxide composition ranging from Cu, Cu-Cu2O, Cu2O-CuO1−x, and CuO. Optical band transitions at 2.06 eV and 2.55 eV were found for Cu2O corresponding to the direct forbidden and direct allowed interband transitions. For CuO an indirect allowed interband transition was found at 1.28 eV. The photocatalytic activity was determined by quantifying the rate constant and quantum yield (destroyed molecules/photons absorbed) under stearic acid degradation. Photocatalytic activity was found to be highest in mixed-phase films with Cu-Cu2O films the highest. Results from post-annealed Cu-Cu2O and CuO films show similar results. We interpret our results as being due to efficient electron-hole charge separation in the heterojunction films. The obtained quantum yields were generally about ten times lower than for comparable dense TiO2 and WO3 binary oxides, which calls for further studies of the spectral dependence of the quantum yield and electron-hole pair life times for oxides with different purity levels.
An Automatic Detection and Classification System of Five Stages for Hypertensive Retinopathy Using Semantic and Instance Segmentation in DenseNet Architecture

The stage and duration of hypertension are connected to the occurrence of Hypertensive Retinopathy (HR) of eye disease. Currently, a few computerized systems have been developed to recognize HR by using only two stages. It is difficult to define specialized features to recognize five grades of HR. In addition, deep features have been used in the past, but the classification accuracy is not up-to-the-mark. In this research, a new hypertensive retinopathy (HYPER-RETINO) framework is developed to grade the HR based on five grades. The HYPER-RETINO system is implemented based on pre-trained HR-related lesions. To develop this HYPER-RETINO system, several steps are implemented such as a preprocessing, the detection of HR-related lesions by semantic and instance-based segmentation and a DenseNet architecture to classify the stages of HR. Overall, the HYPER-RETINO system determined the local regions within input retinal fundus images to recognize five grades of HR. On average, a 10-fold cross-validation test obtained sensitivity (SE) of 90.5%, specificity (SP) of 91.5%, accuracy (ACC) of 92.6%, precision (PR) of 91.7%, Matthews correlation coefficient (MCC) of 61%, F1-score of 92% and area-under-the-curve (AUC) of 0.915 on 1400 HR images. Thus, the applicability of the HYPER-RETINO method to reliably diagnose stages of HR is verified by experimental findings.
Effect of Integration of Linseed and Vitamin E in Charolaise × Podolica Bulls’ Diet on Fatty Acids Profile, Beef Color and Lipid Stability

Dietary supplementation with oilseeds improves the fatty acid profiles of meat, but results are often inconsistent. This study aimed to assess the effects of dietary linseed and vitamin E supplementation on fatty acid profile, cholesterol content and color stability of beef samples. Dorsal subcutaneous fat samples were subjected to lipid stability assessment. Eighteen young bulls (385 ± 15 kg BW, age 8–9 months) were allocated into three homogeneous groups, each receiving ad libitum wheat straw and concentrate only (CON = 5.5 kg/day), concentrate with linseed (LIN = 80 g/kg, i.e., 440 g/head/day), and concentrate with linseed plus vitamin E (L+E = 80 g/kg, i.e., 440 g/head/day + 2500 IU/head/day of Vitamin E). Group L+E showed significantly lower cholesterol content, lower n-6/n-3 ratio and a higher PUFA percentage compared to the CON group. Meat color was affected by feeding LIN with a decrease in a*, b*, and C* compared to the CON group. The experimental diets increased H° values compared to the CON group. A positive effect of vitamin E in protecting lipids of dorsal subcutaneous depots from oxidation was detected in group L+E compared to group LIN. The supplementation with extruded linseeds in the diet had positive effects on the nutritional profile of the meat. When vitamin E was included, linseed did not alter the color of meat, and the lipid stability of the subcutaneous fat improved.
Price-Setting Power and Information Asymmetry in Sealed Bidding

Diverging from the historical precedent of using a midpoint rule (k=½) to experimentally structure two-person bargaining under incomplete information, extreme values of k (k=l0, 1r) are invoked in an asymmetric information environment endowing one player with exclusive price-setting power and the other player with veto-only power. Theoretical analysis suggests that regardless of who possesses an information advantage, expected profits for a seller (buyer) decrease (increase) in k. Yet, experimental results show that under conditions of dramatic information asymmetry, not only is the observed share of the surplus is much smaller than predicted for the player with price-setting power, but also the player with the information advantage is unable to garner a greater share of the surplus as has been consistently demonstrated in previous studies providing a boundary test of Daniel et al.'s Information Disparity Hypothesis (1998). Published in 2006 by John Wiley & Sons, Ltd.
Performing teacher feedback literacy in peer mentoring meetings

Abstract In this study, we examine how university teachers perform teacher feedback literacy (TFL) during problem-based peer mentoring meetings (PPM). Using video observations, we analyse the topics and moment-to-moment interactions as the teachers collectively reflect on challenges experienced during feedback encounters with their graduate students and plan more productive feedback encounters in the future. Our findings provide examples of how TFL can be performed collaboratively by teachers sharing experiences, asking explorative questions and envisioning future scenarios together. In these interactions, teachers discuss topics addressing the feedback context, the candidate’s responses, feedback strategies as well as relational and emotional aspects of feedback encounters. The study’s empirical insights contribute to our conceptual understanding of TFL as a set of situated practices that include not only practices of enacting feedback encounters with students, but also practices of reflecting on previous feedback encounters and planning feedback encounters ahead.
The effect of silica nanoparticles on the stability of aqueous foams

Abstract An experimental study was performed on aqueous foams stabilized by a mixture of hexadecyltrimethylammonium bromide (HTAB) and negatively-charged silica nanoparticles. The effects of the nanoparticles on the stability of foams at different HTAB concentrations were investigated. The foams were characterized by measuring their foamability and stability. Rheological behavior of the foams was also studied. Furthermore, rheology of the air–water interfaces was studied in the linear and nonlinear deformation ranges. The thickness of the monolayer at the interface was measured. The actual size of the silica nanoparticles at the air–water interface was measured by transmission electron microscopy. Based on these measurements, the interaction between the monolayers across the foam film containing HTAB and nanoparticles was investigated. Smaller silica nanoparticles (i.e. diameter less than 10 nm) adsorbed at the air–water interface whereas the larger particles remained in the sub-phase or in the bulk liquid phase. It was found that these nanoparticles strongly influenced the foaming behavior at the low HTAB concentrations (i.e. below the CMC). A Langmuir-type monolayer was formed. The presence of the nanoparticles at the air–water interface provided mechanical strength to the foam films and prevented their rupture. This hindered coalescence of the bubbles, which resulted in a stable foam. Graphical Abstract
Novel protein-repellent and antimicrobial polysaccharide multilayer thin films

Abstract Nanostructured and bio-active polysaccharide-based thin films were manufactured by means of subsequent spin-coated deposition of a regenerated cellulose (RC) layer and a 2,2,6,6-Tetramethylpiperidine-1-oxyl radical (TEMPO) oxidised cellulose nanofibril (TOCN) layer. The bio-activity of the bilayer was achieved by addition of chitosan (CS). The chitosan was either mixed with the TOCN (TOCN+CS) and deposited on the RC layer by spin-coating, or deposited on the RC and TOCN bilayer by pumping its aqueous solution with various pH over the surface of the bilayer. The water content of the thin films and the CS interactions with the bilayer during deposition were studied in situ by means of a quartz crystal microbalance with dissipation (QCM-D). The pH dependent charging behaviour of the TOCN, TOCN+CS and CS dispersions was evaluated by pH-potentiometric titrations. The surface morphology of the thin films was characterised by atomic force microscopy (AFM). The bio-activity of the thin films was evaluated by studying their protein-repellent properties in situ with a continuous flow of bovine serum albumin (BSA) by means of QCM-D and by evaluating their antibacterial properties in vitro against Staphylococcus aureus and Escherichia coli. These polysaccharide-based thin films are high value-added products because of their multifunctionality, high water absorbance capacity, protein-repellence and antimicrobial activity, and have the potential for medical application as a wound dressing material.
The role of PKCγ subunit of rACC neurons in the development of bone cancer pain in rats

Background：To explore the role of PKCγ subunit of rACC neurons in the development of bone cancer pain in rats. Methods：40 adult female SD rats were divided into five groups: blank control group (Naive group), sham operation group (Sham group), bone cancer pain group (BCP group)，empty lentiviral vector group（Vehicle group） and PKCγ/shRNA recombinant lentiviral vector group (PKCγ group). 10μl MADB-106 rat mammary cancer cells suspension was inoculated into the tibia bone marrow cavity of rats in BCP group and Vehicle group similarly. 10μl saline was inoculated into the proximal tibia bone marrow cavity of rats in Sham group. In the PKCγ group, the rats were taken the same treatment as the BCP group, and then 10μl shRNA/PKCγ recombinant lentivirus was injected into the bilateral rACC on the 7th day. The mechanical withdrawal threshold and thermal withdrawal latency were measured every 3 days to assess the rat pain behavior. Immunohistochemistry, Western blotting technology and immunofluorescence were used to detect the expression of PKCγ subunits in rat rACC neurons after operation. Results: From the 3rd day after operation, the mechanical withdrawal thresholds in BCP group, Vehicle group and PKCγ group were significantly decreased than those in Naive group and Sham group (P<0.05). Compared with the BCP group and Vehicle group the mechanical withdrawal threshold in the PKCγ group increased significantly (P<0.05). On the 3rd postoperative day, the thermal withdrawal latency in BCP, Vehicle and PKCγ groups was significantly longer than those in Naive and Sham groups（P＜0.05). From the 14th postoperative day, the TWL in PKCγ group was shorter than that in BCP and Vehicle groups (P<0.05). Western blot analysis showed that the expression of PKCγ in rACC neurons on the 14th day after operation in rats of BCP and Vehicle groups were significantly higher than that in Naive group and Sham group. (P<0.05) However, in the PKCγ group, the expression of PKCγ in rACC neurons was significantly lower than that in BCP group (P<0.05). Conclusion: Up-regulation of PKC subunit of rACC neurons in bone cancer pain rats contributes to the development of pain sensitivity in bone cancer.
Preliminary Study with the Use of a Titanium Mesh as Space Maker and Implant Primary Stabilization for One-Stage Sinus Lift in Cases with Less Than 1.5 mm Residual Bone

(1) Background: In the lateral area of the maxilla, the alveolar bone can lose significant volume due to maxillary sinus pneumatization following teeth extractions. This preliminary study evaluated the effectiveness of a novel technique for one-stage sinus lifting and simultaneous implant placement in cases with less than 1.5 mm residual alveolar bone. The subsequent survival rate at 1-year post-occlusal loading was assessed. (2) Methods: 15 patients were selected, the main inclusion criteria were the partially edentulous area in the posterior maxilla with alveolar bone height of less than 1.5 mm below the sinus. All of the patients underwent one-stage sinus lifting, along with simultaneous implant placement using a “butterfly” anchorage device to optimize the primary stability and xenograft bone as graft material. At 6 to 9 months after surgery, the anchorage device was removed and implants were loaded. Panoramic x-ray images were used to assess the new bone formation, while the biological stability was measured using resonance frequency analysis. (3) Results: 15 implants were inserted. The mean implant stability quotient (ISQ) value was 71.3 (SD = ±2.51) and the mean healing period was 7.3 (SD = ±1.23) months. The mean bone height after the healing period was 14.4 (SD = ±2.05). A statistically significant correlation was found between the healing period and the ISQ value (Spearman rho = 0.684, sig. = 0.005). No statistically significant correlation was found between the ISQ value and the new regenerated bone height (Person r = 0.389, sig. = 0.152). Smoking was identified as a risk factor involved in postoperative complications. (4) Conclusions: The results of the present preliminary study demonstrated that the proposed “butterfly” technique was effective when performing one-stage sinus lifting and simultaneous implant placement in cases with less than 1.5 mm of residual alveolar bone. The survival rate was 100% at 1-year post occlusal loading.
A Systematic Mapping Study of Digital Marketing and Large Manufacturing Firms: Perspective from Japan

The very rapid development of ICT in the digital era has an impact on various lines of life, including changes in consumer behavior in shopping. Business people need to know the proper use of digital marketing in order to effectively target appropriate consumers. Digital marketing describes the use of technology in marketing efforts and business practices by marketing goods, services, information, and ideas via the internet, cell phones, display advertisements, and other electronic media. Data-driven marketing uncovers a variety of tactics to approach, attract, resuscitate, delight, and drive customers to online marketing. Digital marketing facilitates many-to-many communications because of the high level of connectivity and is usually used to promote products or services in a timely, relevant, more personal, and cost-effective manner. Marketing activities are carried out intensively using digital media, from promotions or product offers to product sales. Today, a website is arguably the most crucial element of your entire marketing strategy. Even a simple site without a lead capturing process or sales page will be consulted as a digital business card before a deal is struck or a purchase is made. For this reason, overhauling outdated designs to keep up with industry standards is a no-brainer. Traditional advertising is not completely dead yet. Manufacturers still use formal events like trade shows to good effect, and often spend on TV spots, magazines, and other traditional media forms. Based on the available literature, the old method of print advertising and radio ads still work but they are becoming less effective as people look to online sources for their shopping. Manufacturing companies still use these old school methods like networking events and trade shows and they still produce results. Keywords: Systematic mapping, Digital Marketing, Manufacturing, Industrial Revolution.
A Case of Multifactorial Viral Myocarditis

We present a case of viral myocarditis in the setting of Coxsackievirus and coronavirus disease 2019 (COVID-19) infection. This case is unique as there were two underlying active infections that could have caused the patient’s myocarditis. Though both viruses have been shown to cause myocarditis, it was difficult to differentiate the exact etiology in this particular case. The unique nature of this case presents the opportunity to explore whether further diagnostic workup is warranted.