Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of an Educational Hybrid Physical Education Program on Physical Fitness, Body Composition and Sedentary and Physical Activity Times in Adolescents: The Seneb’s Enigma

Physical activity (PA), body composition and sedentary behavior may affect the health of children. Therefore, this study examined the effect of an educational hybrid physical education (PE) program on physical fitness (PF), body composition and sedentary and PA times in adolescents. A 9-month group-randomized controlled trial was conducted in 150 participants (age: 14.63 ± 1.38 years) allocated into the control group (CG, n = 37) and experimental group (EG, n = 113). Cardiorespiratory fitness, speed, strength, agility, flexibility and body mass index (BMI) were assessed through previously validated field tests. Sedentary time, PA at school and afterschool were evaluated with the Youth Activity Profile-Spain questionnaire. Significant differences were observed concerning to the CG in APA-weekend (p = 0.044), speed-agility (p = 0.005) and agility (p = 0.008). Regarding the intervention, cardiorespiratory fitness (p = 0.000), speed-agility (p = 0.000), strength (p = 0.000), flexibility (p = 0.000), agility (p = 0.000), PA in school (p = 0.011), APA-weekday (p = 0.001), APA-weekend (p = 0.000), APA-week (p = 0.000), and sedentary time (p = 0.000) increased significantly in the EG. The use of a hybrid program based on teaching personal and social responsibility and gamification strategies produced enhancements in cardiorespiratory fitness, agility, speed, APA-weekdays and APA-weekends, reducing the sedentary time.
MicroRNA-155 Controls iNKT Cell Development and Lineage Differentiation by Coordinating Multiple Regulating Pathways

The development of invariant natural killer T (iNKT) cells requires a well-attuned set of transcription factors, but how these factors are regulated and coordinated remains poorly understood. MicroRNA-155 (miR-155) is a key regulator of numerous cellular processes that affects cell development and homeostasis. Here, we found that miR-155 was highly expressed in early iNKT cells upon thymic selection, and then its expression is gradually downregulated during iNKT cell development. However, the mice with miR-155 germline deletion had normal iNKT cell development. To address if downregulated miR-155 is required for iNKT cell development, we made a CD4Cre.miR-155 knock-in (KI) mouse model with miR-155 conditional overexpression in the T cell lineage. Upregulated miR-155 led to interruption of iNKT cell development, diminished iNKT17 and iNKT1 cells, augmented iNKT2 cells, and these defects were cell intrinsic. Furthermore, defective iNKT cells in miR-155KI mice resulted in the secondary innate-like CD8 T cell development. Mechanistically, miR-155 modulated multiple targets and signaling pathways to fine tune iNKT cell development. MiR-155 modulated Jarid2, a critical component of a histone modification complex, and Tab2, the upstream activation kinase complex component of NF-κB, which function additively in iNKT development and in promoting balanced iNKT1/iNKT2 differentiation. In addition, miR-155 also targeted Rictor, a signature component of mTORC2 that controls iNKT17 differentiation. Taken together, our results indicate that miR-155 serves as a key epigenetic regulator, coordinating multiple signaling pathways and transcriptional programs to precisely regulate iNKT cell development and functional lineage, as well as secondary innate CD8 T cell development.
A Reproducible and Scalable Process for Manufacturing a Pfs48/45 Based Plasmodium falciparum Transmission-Blocking Vaccine

The cysteine-rich Pfs48/45 protein, a Plasmodium falciparum sexual stage surface protein, has been advancing as a candidate antigen for a transmission-blocking vaccine (TBV) for malaria. However, Pfs48/45 contains multiple disulfide bonds, that are critical for proper folding and induction of transmission-blocking (TB) antibodies. We have previously shown that R0.6C, a fusion of the 6C domain of Pfs48/45 and a fragment of PfGLURP (R0), expressed in Lactococcus lactis, was properly folded and induced transmission-blocking antibodies. Here we describe the process development and technology transfer of a scalable and reproducible process suitable for R0.6C manufacturing under current Good Manufacturing Practices (cGMP). This process resulted in a final purified yield of 25 mg/L, sufficient for clinical evaluation. A panel of analytical assays for release and stability assessment of R0.6C were developed including HPLC, SDS-PAGE, and immunoblotting with the conformation-dependent TB mAb45.1. Intact mass analysis of R0.6C confirmed the identity of the product including the three disulfide bonds and the absence of post-translational modifications. Multi-Angle Light Scattering (MALS) coupled to size exclusion chromatography (SEC-MALS), further confirmed that R0.6C was monomeric (~70 kDa) in solution. Lastly, preclinical studies demonstrated that the R0.6C Drug Product (adsorbed to Alhydrogel®) elicited functional antibodies in small rodents and that adding Matrix-M™ adjuvant further increased the functional response. Here, building upon our past work, we filled the gap between laboratory and manufacturing to ready R0.6C for production under cGMP and eventual clinical evaluation as a malaria TB vaccine.
Down-Regulation of Colonic ACE2 Expression in Patients With Inflammatory Bowel Disease Responding to Anti-TNF Therapy: Implications for COVID-19

Background and Aims: Angiotensin-converting enzyme II (ACE2) is the key molecule for understanding the pathophysiology of COVID-19. The risk of COVID-19 and impact of immunosuppressive treatment on disease course in patients with inflammatory bowel disease (IBD) remain controversial. We aimed to determine the change of intestinal ACE2 expression before and after biologics treatment including anti-tumor necrosis factor α (anti-TNFα), anti-integrin, and anti-interleukin (IL)12/23 in IBD patients. Methods: We analyzed the ACE2 expression through the public database of paired intestinal biopsies from IBD patients before and after biologic therapy. Change of ACE2 RNA and protein expression were validated in two independent cohorts (Birmingham cohort and Guangzhou cohort). The correlation between ACE2 expression and disease activity was also analyzed. Results: Mining information from the GEO database showed that compared with healthy control, intestinal ACE2 expression was downregulated in ileum of CD patients, while upregulated in colon of both CD and UC patients. Colonic ACE2 RNA expression was decreased significantly in patients responding to anti-TNFα but not anti-integrin and anti-IL12/23, which was validated in the Birmingham cohort. Using the Guangzhou cohort including 53 patients matched by pre- and post-anti-TNFα therapy, colonic ACE2 protein expression was significantly downregulated after anti-TNFα treatment in responders (P < 0.001) rather than non-responders. Colonic ACE2 expression was significantly higher in patients with severe histologically active disease compared with those with moderate (P < 0.0001) and mild (P = 0.0002) histologically active disease. Conclusion: Intestinal inflammation influences the expression of intestinal ACE2 in IBD patients, with different alterations in the ileum and colon. Colonic ACE2 expression was downregulated after anti-TNFα therapy in IBD patients responding to treatment. This might provide new clues regarding the risk of SARS-CoV-2 infection and the potential benefit of sustaining anti-TNFα treatment in patients with IBD.
Interfacial tension of immiscible polymer blends: temperature and molecular weight dependence

Abstract : Interfacial tensions between immiscible homopolymers are measured using an automated pendant drop apparatus, which utilizes Video Digital Image Processing techniques. A recently developed robust shape analysis algorithm is used to analyze the experimental drop profiles. The data show the effect of temperature and number average molecular weight (Mn) on the interfacial tension for the immiscible blends polystyrene-poly(methyl methacrylate), polybutadiene-poly(dimethyl siloxane) and polystyrene-hydrogenated 1,2 polybutadiene. Interfacial tension decreases linearly with temperature and increases with molecular weight. The data for all three systems can be approximated by an empirical relationship. The interfacial tension data for the latter blend system are compared with thermodynamic theories of polymeric interfaces. A square gradient theory approach, in conjunction with the Flory-Huggins expressions for the free energy of mixing, predicts a magnitude and temperature dependence of interfacial tension which are in reasonable agreement with experimental data, and does predict a molecular weight dependence which roughly follows the empirical relationship.
INVESTIGATING THE ROLE OF FLOW EXPERIENCES IN USERS’ REUSE INTENTIONS TOWARD RECOMMENDATION AGENTS: THE MODERATOR OF PRODUCT KNOWLEDGE

Online recommendation agents can help users decrease information overload and reduce search complexity and, in turn, help improve decision quality. Studies related to human-computer interactions have shown that flow experiences can increase users’ reuse intentions. However, few studies address the issue of users’ flow experiences during interactions with online recommendation agents. This study focuses on the interactive process between users and recommendation agents. It provides a research model based on flow theory, as well as an information adoption model. We considered the influence of users’ perceptions of operating processes and information content on flow experiences and the effects of flow experiences on information usefulness and reuse intentions. We conducted a 2*2 factorial laboratory experiment and derived three principal findings. First, flow directly influenced reuse intentions and indirectly influenced reuse intentions mediated by information usefulness. Users with flow experiences provided positive valuations of suggestions provided by recommendation agents. They were also willing to reuse these suggestions. Second, process similarity directly and positively affected flow experiences. Third, provision of explanation facility and consumer reviews influenced users’ flow experiences. Provision of consumer reviews positively influenced flow experiences. However, provision of explanation facility negatively influenced flow experiences. Several theoretical and managerial implications are proposed.
Comparison of the Sealing Ability of GuttaFlow Bioseal with Different Obturation Systems (An in vitro study)

The major goal of a root canal filling is the three-dimensional obturation with the complete seal of the whole canal system. The aim of this study is to quantitatively evaluate and compare the sealing ability of GuttaFlow bioseal with different obturation systems (GuttaFlow 2, AH plus, Bioceramic sealer) of single cone techniques. 64 freshly extracted maxillary first molars with a straight palatal root canal were selected. After sectioning of the palatal roots, their canals were instrumented using EdgeEndo X7 rotary system in sequence (20/04 – 40/04) then divided into 4 experimental groups according to the obturation system, Group I: AH plus sealer, Group II: GuttaFlow 2, Group III: Bioceramic sealer, Group IV: GuttaFlow bioseal sealer, and 2 control groups. Apical leakage evaluation was done by dye extraction methods. Data were analyzed using One-way ANOVA, and Tukey HSD tests. The lowest leakage was in GuttaFlow bioseal, while the highest leakage was for GuttaFlow 2. The statistical analysis revealed that GuttaFlow bioseal had significantly lower leakage than GuttaFlow 2 and Bioceramic sealer ( P< 0.05), while it had no significant difference in the mean leakage when compared with AH Plus. The type of the sealer act as a major determinant of the sealing ability when used with a single cone technique. Bioactive glass based sealer showed the best sealing ability. Review (J Int Dent Med Res 2020; 13(4): 1632-1636)
A 0.64-pJ/Bit 28-Gb/s/Pin High-Linearity Single-Ended PAM-4 Transmitter With an Impedance-Matched Driver and Three-Point ZQ Calibration for Memory Interface

A single-ended four-level pulse-amplitude modulation (PAM-4) transmitter (TX) for memory interfaces achieves high signal integrity by combining an impedance-matched PAM-4 driver with a three-point ZQ calibration scheme. This improves PAM-4 linearity by allowing the driver to compensate for its impedance variation caused by the change in the drain–source voltage ( $V_{\mathrm {DS}}$ ) to suit the four output levels considering both the TX and the receiver (RX). Resistors and inductors are eliminated from the voltage-mode (VM) driver, reducing the area requirement. The two-tap asymmetric feed-forward equalization (FFE) allocates six different coefficients to each minimum pull-up and pull-down transition, compensating for nonlinear equalization strengths and asymmetric characteristics of the driver. A prototype chip fabricated in the 65-nm CMOS has an area of 0.0333 mm2 and consumes 0.64 pJ/bit. It achieves a data rate of 28 Gb/s/pin with a ratio level separation mismatch (RLM) of 0.993.
Robust and Eﬃcient Semantic SLAM with Semantic Keypoints

Although SLAM has traditionally relied on representing the environment as low-level geometric features such as points, lines, and planes, recent advances in object recognition capabilities as well as demand for higher-level environment representations to facilitate higher-level autonomy have motivated object based environment representations, or Semantic SLAM. We present a Semantic SLAM algorithm that directly incorporates a sparse and deformable representation of objects into a factor graph SLAM system, resulting in a system that is eﬃcient, robust to varying object shapes and environments, and easy to incorporate into an existing SLAM system. This keypoint-based representation facilitates robust detection in varying conditions and intraclass shape variation as well as computational eﬃciency. The performance of our algorithm is demonstrated in two diﬀerent SLAM systems and in varying environments.
Towards Context-Preserving Human to Robot Motion Mapping

—We aim to learn a mapping of human communicative behavior to a robot with fewer degrees of freedom, which would preserve its high-level characteristics, such as attitude and intention. We take a deep learning approach, using the encoding-decoding idea. Our preliminary results of the human motion representation learning indicate that we can beneﬁt from having recurrent connections only in some layers of the neural network. The best-performing representation size is roughly two times less than the original input data dimensionality.
REGIONAL HEADQUARTERS OF MULTINATIONAL CORPORATIONS: LITERATURE REVIEW AND TAXONOMY

As part of the business globalization phenomena, executives are called upon, more frequently than before, to consider regionally-focused organizational structures, such as regional headquarters, and to determine their location. However, academic literature, as of now, has not placed much emphasis on the subject of regional headquarters and their study has only recently become an emerging area of interest in the field of international business. This paper presents a taxonomy and analysis of literature regarding regional headquarters of multinational corporations, with the purpose of identifying limitations of current literature, as a basis for future research.
Pitch Extraction Using Half-wave Rectification in Narrow-Band Noise

Summary In this paper, we propose a pitch extraction method effective in narrow-band noise. We first use the fourth-root spectrum instead of the logarithm spectrum by reducing the effect of noise. The noise-free fourth-root spectrum is then flattened inspired by the lifter approach for reducing the effect of vocal tract characteristics. In our proposed method, we use the half-wave rectification approach instead of clipping operation on liftered spectrum to suppress the noise effect and maintain the periodicity in between the harmonics. Therefore, we can extract the more accurate pitch. Through experiments, the excellent pitch extraction performance of the proposed method is validated. It is also shown that the computation of the proposed method is simple and fast.
ON THE ROLE OF CONTAGION EFFECTS IN TOTAL RESERVES IN SOUTH AMERICA

With the growth of international reserves in the last decades, the existence of contagion and financial integration between Argentina, Brazil, Chile, Colombia and Peru is found by Matos et al., (2014). We add to the international reserve literature using the Frenkel and Jovanovic (1981) buffer stock model. Our fundamental innovations are the consideration of the cross-effects of conditional volatilities, spreads and imports on the model. The joint estimation of this framework allows a considerable increase in the explanatory power in addition to detecting the relevant role of the volatility of the Colombian reserves, Argentine spreads and imports from Brazil and Chile in the modeling of reserves in other countries. In this period, too, one can see oscillation between a more daring and a conservative stance on the accumulation of international reserves in these countries.
PR ] 4 O ct 2 01 0 Maximizing the size of the giant

We consider two classes of random graphs: (a) Poissonian random graphs in which the n vertices in the graph have i.i. d. weights distributed as X, where E(X) = μ. Edges are added according to a product measure and the probability that a vertex of weight x shares and edge with a vertex of weight y is given by 1− e−xy/(μn). (b) A thinned configuration model in which we create a ground-graph in which the n vertices have i.i. d. ground-degrees, distributed as D, with E(D) = μ. The graph of interest is obtained by deleting edges independently with probability 1− p. In both models the fraction of vertices in the largest connected component converges in probability to a constant 1 − q, where q depends on X or D and p. We investigate for which distributions X and D with given μ and p, 1−q is maximized. We show that in the class of Poissonian random graphs, X should have all its mass at 0 and one other real, which can be explicitly determined. For the thinned configuration model D should have all its mass at 0 and two subsequent positive integers.
Development and evaluation of navigation system for dental implant surgery completed in all-in-one visit

Development and evaluation of navigation system for dental implant surgery completed in all-in-one visit Sung-Goo Kim, DDS, MSD Department of Oral and Maxillofacial Radiology The Graduate School Seoul National University Purpose: In this study, we have developed a new image guided navigation system for dental implant using cone-beam computed tomography image, and evaluated its accuracy. Materials and methods: Image guided navigation system based on an optical tracking camera was developed. In the developed system, new instrument tracking tool and patient tracking tool were applied. A patient-specific splint was improvised using a bite splint and dental impression material. Also, registration method using pre-recorded fiducials and direct offset determination method were developed. Accuracy of these registration and direct offset determination methods was measured through target registration errors (TRE) of 10 ceramic spheres. To measure error of the image guided navigation system for placed implants, the 110 implants were actually installed, and the accuracy of the developed system was evaluated. Results: The total mean (± SD) TRE of newly developed system was 0.35 ± 0.11 mm. After registration by pre-recorded fiducials, the mean TRE was 0.34 ± 0.18 mm. The offset for a random drill was directly calibrated, and then by using it, a mean TRE was 0.35 ± 0.16 mm as a result. There was no significant difference (P > 0.05) in accuracy among registration methods and direct offset determination. The total mean error between 110 planned implants and the actually placed implants was 0.41 ± 0.12 mm at the center point of platform, 0.56 ± 0.14 mm at the center point of apex, and 2.64 ± 1.31 ° was the angular deviation of the long axis of the implant. Conclusion: A new image guided navigation system based on CBCT images for dental implant was developed to overcome some disadvantages of the conventional method, and the accuracy of the developed system was proved to be sufficiently high for clinical application. It will be possible to perform a dental implant surgery in all-in-one visit by using the developed image guided navigation system.
An Individual Specific Electroencephalography Signal Pattern Verification Model Based on Machine Learning and Convolutional Neural Network

—Under the development trend of artificial intelligence, biometrics has become a broadly applied popular technology in various situations, such as finance, non-profit organizations, and customs. However, traditional identification tools existed in the risks of being easily leaked out, stolen, or attack by hackers. Electroencephalography (EEG), a method for research on biometrics, collects electromagnetic waves on specific positions on the scalp and reflects individual brain activity. Much research proved that α band in EEG could distinguish individual differences, and the significance was proven in clinical neurophysiology. In EEG biometrics, complicated electrode channels were used in most research to cover the entire head for collecting brainwave records; however, such equipment could not satisfy the requirement for collectability in biometrics applications. This study develops an individual specific verification model with brainwaves through Convolutional Neural Network (CNN) for identity identification to protect biometric data of the athletes. Brainwave features are selected from 2 minutes static brainwave signals of participants collected by handy EEG through the Butterworth Low Pass Filter (BLPF) and Short-time Fourier Transform (STFT), and the verification evaluation model is developed by comparing several machine learning classifiers and the deep learning CNN model. To solve the imbalance problem between personal data and general data, the Synthetic Minority Oversampling Technique (SMOTE) is adopted to achieve favorable effects in various model evaluation indicators. In the individual specific model, the selection of brainwave features at 2 second reveals the accuracy of 96.80%.
Halide Homogenization for High-Performance Blue Perovskite Electroluminescence

Metal halide perovskite light-emitting diodes (LEDs) have achieved great progress in recent years. However, bright and spectrally stable blue perovskite LED remains a significant challenge. Three-dimensional mixed-halide perovskites have potential to achieve high brightness electroluminescence, but their emission spectra are unstable as a result of halide phase separation. Here, we reveal that there is already heterogeneous distribution of halides in the as-deposited perovskite films, which can trace back to the nonuniform mixture of halides in the precursors. By simply introducing cationic surfactants to improve the homogeneity of the halides in the precursor solution, we can overcome the phase segregation issue and obtain spectrally stable single-phase blue-emitting perovskites. We demonstrate efficient blue perovskite LEDs with high brightness, e.g., luminous efficacy of 4.7, 2.9, and 0.4 lm W−1 and luminance of over 37,000, 9,300, and 1,300 cd m−2 for sky blue, blue, and deep blue with Commission Internationale de l'Eclairage (CIE) coordinates of (0.068, 0.268), (0.091, 0.165), and (0.129, 0.061), respectively, suggesting real promise of perovskites for LED applications.