Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effectiveness of Zhu Scalp Acupuncture and Body Acupuncture Therapy Methods on Increasing Intellectual Quotients and Emotional Quotients in Pre-School Children

BACKGROUND: Intellectual Quotients (IQ) is the ability to act purposefully, think rationally, and deal effectively with the environment. Emotional Quotients (EQ) includes empathy, expressing and understanding, feeling, controlling anger, independence, adaptability, liking, interpersonal problem-solving ability, perseverance, solidarity, friendliness, and respect; important for a person's success. Acupuncture therapy with Zhu Scalp and body acupuncture methods can be used to increase IQ and EQ in children. AIM: This study was to determine the effectiveness of acupuncture therapy with Zhu Scalp acupuncture and body acupuncture methods on the IQ and EQ of pre-school children. METHODS: The research method is a quantitative pre and post-test design with cross-sectional control with a paired T-test. The research sample was pre-school children in Sukoharjo district with a total of 54 respondents. The data collection instrument is a questionnaire for respondent characteristics, IQ test, and EQ measurement using VSMS (Vineland Social Maturity Scale). RESULTS: The research results showed chitosan 5%; a combination of chitosan 9% and snail seromucous 50% (ratio 1: 1) is a microbicide against MTB TB patient isolates. Snail seromucous was ineffective as a microbicide against MTB tuberculosis patients. The results showed that there was a significant difference in the IQ and EQ levels of children before and after acupuncture therapy using the Zhu Scalp method and body acupuncture with a p-value of 0.000. The results of the N Gain test showed that there are differences in the effectiveness of the Zhu Scalp acupuncture and the body acupuncture method on increasing IQ and EQ in pre-school children. CONCLUSION: The Zhu Scalp acupuncture method is more effective than the body acupuncture method to increase IQ and EQ of pre-school age children, which can be applied in the management of acupuncture therapy to improve child development.
Distributed Multiagent Deep Reinforcement Learning for Multiline Dynamic Bus Timetable Optimization

As a primary countermeasure to mitigate traffic congestion and air pollution, promoting public transit has become a global census. Designing a robust and reliable bus timetable is a pivotal step to increase ridership and reduce operating cost for transit authorities. However, most previous studies on bus timetabling rely on historical passenger count and travel time data to generate static schedules, which often yield biased results in these uncertain scenarios, such as demand surge or adverse weather. In addition, acquiring real-time passenger origin/destination from a limited number of running buses is not feasible. This article considers the multiline dynamic bus timetable optimization problem as a Markov decision process model to address the aforementioned issues, and proposes a multiagent deep reinforcement learning framework to ensure effective learning from the imperfect-information game, where the passenger demand and traffic condition are not always known in advance. Moreover, a distributed reinforcement learning algorithm is applied to overcome the limitation of high computational cost and low efficiency. A case study of multiple bus lines in Beijing, China, confirms the effectiveness and efficiency of the proposed model. The results demonstrate that our method outperforms heuristic and state-of-the-art reinforcement learning algorithms by reducing 20.30% of operating and passenger costs compared with actual timetables.
Examination of New Electrocardiographic Repolarization Markers in Diabetic Patients with Noncritical Coronary Artery Disease

Background Diabetes mellitus (DM) is a multisystemic, chronic disease that affects many organs. Coronary artery disease (CAD) is the leading cause of death in patients with DM. The electrocardiogram's new ventricular repolarization parameters can predict mortality and morbidity. The ventricular repolarization indices were examined in diabetic patients with a CAD diagnosis in this study. Methods The study group consisted of 84 DM patients (51 males; mean age 58.8 ± 6.6) with noncritical CAD. The control group consisted of 84 DM patients (47 males; mean age 58.7 ± 8.8) with a normal coronary artery. The intervals of QT, QRS, JT, and Tp-e were all measured. Tp-e/QT, Tp-e/QTc, Tp-e/JT, and Tp-e/JTc ratios were determined with QTc, QTd, QTdc, and JTc intervals. Results Heart rate (74.4 ± 13.1 vs. 70.0 ± 13.6 bpm, p: 0.036), QT (381.0 ± 30.3 vs. 368.6 ± 29.1 ms, p: 0.008), QTc (407.5 (359–450) vs. 389 (339–430) ms, p < 0.001), QTd (25.1 ± 6.2 vs. 21.9 ± 9.9 ms, p: 0.013), QTdc (26.7 ± 6.1 vs. 23.1 ± 10.8 ms, p: 0.010), Tp-e (95.7 ± 12.2 vs. 73.6 ± 9.8 ms, p < 0.001), JT (293.8 ± 22.0 vs. 283.5 ± 30.9 ms, p: 0.014), and JTc (313.6 ± 12.3 vs. 302.4 ± 33.7 ms, p=0.005) intervals, and Tp-e/QT (0.25 ± 0.03 vs. 0.20 ± 0.03 ms, p < 0.001), Tp-e/QTc [0.23 (0.19–2.33) vs. 0.19 (0.14–0.25) ms, p=0.007], Tp-e/JT (0.33 ± 0.04 vs. 0.26 ± 0.04 ms, p < 0.001), and Tp-e/JTc (0.30 ± 0.03 vs. 0.24 ± 0.03 ms, p < 0.001) ratios were all found to be significantly higher in diabetic patients with noncritical CAD. Conclusion In this study, ventricular repolarization markers on the surface ECG were found to be elevated in diabetic CAD patients. These variables may be related to fatal arrhythmic events. To be sure, large-scale, randomized controlled trials are required.
Nailfold microvascular abnormalities are associated with a higher prevalence of pulmonary arterial hypertension in patients with MCTD.

OBJECTIVE Mixed connective tissue disease (MCTD) manifests with microvasculopathy and overlapping clinical features of systemic lupus erythematosus (SLE), systemic sclerosis (SSc), and idiopathic inflammatory myopathies (IIM). The aim of this study was to investigate the clinical significance of microvasculopathy in patients with MCTD using nailfold videocapillaroscopy (NVC). METHODS Fifty patients with newly diagnosed and untreated MCTD were enrolled in this multicentre, prospective, and observational study. Clinical features and NVC findings were assessed at baseline and after 1-year post-intervention, along with disease controls [SLE (n = 40), SSc (n = 70), and IIM (n = 50)]. RESULTS All MCTD patients presented Raynaud's phenomenon and were positive for anti-U1 ribonucleoprotein antibodies, and 22.0% (11/50) had pulmonary arterial hypertension (PAH). The prevalence of NVC scleroderma patterns in MCTD was 38.0%, which was lower than SSc (88.6%) but higher than SLE (10.0%). In addition, when we divided MCTD patients into two groups by presence or absence of NVC scleroderma patterns, we found that a higher prevalence of PAH in patients with NVC scleroderma patterns. Namely, NVC scleroderma patterns were observed in all MCTD patients with PAH, and in 21.0% of those without PAH. After intensive immunosuppressive therapy, NVC scleroderma patterns disappeared in half of the MCTD patients but were not changed in SSc patients. CONCLUSIONS MCTD differed from SLE, SSc and IIM in terms of the prevalence and responsiveness of NVC scleroderma patterns to immunosuppressive therapy. Detection of nailfold microvascular abnormalities in MCTD could contribute to predicting PAH and help us to understand further aspects of the pathogenesis of MCTD.
FEASIBILITY STUDY OF USING TELESCOPIC INVERTED PENDULUM MODEL TO REPRESENT A THREE LINK SYSTEM FOR SIT TO STAND MOTION

Sit to stand (STS) is a very challenging motion for any humanoid robotic system. In humanoid robotics field, the STS motion on the sagittal plane can be predicted using three-link robot inverse kinematic and dynamic model. However, a three-link model is complicated and requires high computational resource to compute. Hence, in this paper a much simpler model namely telescopic inverted pendulum is proposed. The objective of this project is to model and validate sit to stand motion of humanoid robot using telescopic inverted pendulum model. In order to validate the model, simulated joint torques using both three-link and TIPS model are compared using MATLAB software. Result shows that there is a linear relationship between Telescopic Inverted Pendulum with the 3 Link model thus, it is feasible to use TIPS to represent STS motion of a three-link multi-segment robot.
Improving the Dimensional Accuracy of Micro Parts 3d Printed with Projection-Based Continuous Vat Photopolymerization Using a Model-Based Grayscale Optimization Method

Micro-scale additive manufacturing has seen significant growth over the past years, where improving the accuracy of complex micro-scale geometries is seen as an important challenge. Using grayscale images rather than black and white images during production is an effective method to improve the fabrication quality. This paper presents a model-based optimization method for improving the dimensional accuracy of parts using voxel-based grayscale dynamic optimization during continuous 3D printing. A detailed solidification model has been developed and used to estimate the curing dynamics of the resin used in 3D printing. The irradiance of the light beam projected for each pixel influences a larger volume on the resin than the targeted voxel. The proposed model-based method optimizes the images considering the light distribution from all closely related pixels to maintain the accuracy of the micro part. The results of this method have been applied to the printing of a complex 3D part to show that optimized grayscale images improve the areas with overcuring significantly. It is shown that the number of overcured voxels was reduced by 24.7% compared to the original images. Actual printing results from our experimental setup confirm the improvements in the accuracy and precision of the printing method.
Acesso Lexical na Leitura:
Síntese de achados a partir de estudos de rastreamento ocular e suas implicações para a alfabetização

Este artigo tem como objetivo apresentar o reconhecimento visual da palavra e o acesso lexical na leitura, descrevendo as etapas desse processo e integrando o conhecimento proveniente de estudos da Psicologia Cognitiva (modelos que explicam o processamento de leitura de palavras) e da Psicolinguística (que avaliam as variáveis linguísticas que afetam o processamento lexical), focalizando os achados obtidos por meio da técnica de rastreamento ocular. As etapas de reconhecimento da informação gráfica (processamento ortográfico) bem como o acesso aos aspectos fonológico, morfológico e semântico do processamento da palavra são sintetizado e discutido. Pretende-se que esta síntese, que inclui exemplos e esquemas gráficos, possa facilitar o acesso dessa informação por educadores envolvidos na alfabetização. O artigo traz os processos cognitivos que leitores proficientes usam a fim de reconhecer e pronunciar palavras individualmente. Ele contempla primeiramente o trabalho dos olhos durante a leitura, focando nas palavras de uma sentença, e a relação do movimento ocular com a materialidade linguística, além de especificar como o rastreador ocular registra o comportamento dos olhos. Em seguida discorre sobre os processos sublexicais e lexicais do processamento da palavra, apresentando dois modelos teóricos (Modelo Iterativo de Percepção e o Modelo de Dupla Rota em Cascata.), até a integração da palavra à sentença e ao discurso.
Circadian activity patterns and temporal overlap among cracids (Aves: Cracidae) within a vegetation mosaic in the Pantanal of Rio Negro, Brazil

Vertebrates, overall, present a daily activity pattern when managing their needs, such as foraging, resting or searching for sexual partners. Most of the available information regarding the circadian rhythm in birds comes from controlled laboratory conditions, and little is known about these patterns in the wild. In this study we used camera traps to describe the daily activity patterns of three cracid species in the Pantanal of Rio Negro, Brazil. We had a sampling effort of 9,617 camera trap-days along 231 days (5,544 hours) from September 2013 to May 2014. This resulted in 4,833 independent records of cracids from a total of 7,713 individuals. Crax fasciolata was the species with the most records (nrec = 3,792) and individuals (nind = 5,781), followed by Ortalis canicollis (nrec = 934; nind = 1,758) and Aburria grayi (nrec = 107; nind = 174). None of the species was uniformly distributed throughout the day, thus evidencing a periodization of their activities. The mean vectors of the activity patterns of C. fasciolata, O. canicollis and A. grayi were, respectively, mμ = 10:36 ± 04:26 (SD), mμ = 11:42 ± 03:57 and mμ = 11:44 ± 03:47. We observed a temporal overlap between A. grayi and O. canicollis, whereas C. fasciolata significantly differed from them. Because of their large home ranges, cracids are important indicators of environmental quality, and, as frugivores, they play key roles in the ecological dynamics of forests. In this sense, and given that cracids are notably more susceptible to extinction, the knowledge on their circadian activity patterns may be useful when establishing effective management and conservation strategies.
Creating Exercise Spaces in Parks for Older Adults With Fitness, Rehabilitation, and Play Elements: A Review and Perspective

Parks usually create a protective playground space for children to perform physical activity like jumping, running, and climbing. Specific spaces have rarely been created for older adults to perform physical activity in public parks. Now that park designs increasingly include outdoor exercise spaces for older adults, yet the important elements or considerations when designing this space remain unclear. Here, we present the emerging importance of and evidence for creating well-designed activity spaces for senior citizens in public parks in the era of population aging.
A generalized analytical solution of groundwater head response to dual tide in a multi‐layered island leaky aquifer system

The hydraulic properties of coastal aquifer systems are relevant to various hydrogeological, hydro‐ecological and engineering problems. This study presents an analytical solution for predicting groundwater head fluctuations induced by dual‐tide in multi‐layered island aquifer systems, consisting of an unconfined aquifer on the top and any number of leaky aquifers below. The solution was derived via the methods of matrix differential calculus and separation of variables. It is more general than any existing analytical solutions for the tidal pressure propagation since the new solution can consider multi‐layered aquifer systems along with the effects of leakage and aquifer length. Using this solution, we illustrated potential errors that may occur due to neglecting one or more vital factors affecting groundwater fluctuations. Besides, we articulated the groundwater response to the dual‐tide in complex coastal aquifers. Considering that some thin semipermeable layers may be ignored in practical field investigation, we also demonstrated the effects due to simplification of aquifer layers. The results showed that with the increase in the number of overlapped leaky layers, the tidal propagation in the bottom part of multi‐layered aquifer system approaches that in a single confined aquifer with the same transmissivity and storage.
REVEALING SIGNIFICANT CHEMICAL COMPOSITION EFFECTS ON THE SUPER ALLOYS PERFORMANCE BY DATA MINING TECHNIQUES APPLICATION

Based on the early developed integrated investigation approach combining mutually consistent computer aided: statistical exploratory techniques, multiple regression models development, Monte-Carlo simulations and multipurpose manufacturing technology parameters optimization, computer statistical investigations of chemical composition effects on some basic performance characteristics of modern industrial superalloys (SAs) were conducted. According to the developed approach, the Data Mining-based C&RT statistical technology was used in the current work as the first stage of the further analysis. An important feature of the developed approach to the “passive experimentation” in general and the applied technique in particular was emphasized as both providing minimal investigation expanses, as compared to the “active” one and so having no alternative in free market economic conditions. As the stage primary results, the dendrograms were constructed providing the following statistically grounded visual information for each SAs controlled performance index: – a full list of statistically significant chemical elements; allowable variants of the elements combinations; limits of the chemical element concentration intervals spillover of which provides changes in the chemical elements combinations; variation tendencies for the control indexes within the revealed concentration intervals. Interactions of the most of the chemical elements comprised by SAs in their effects on the investigated performance indexes were shown. High effectiveness of the obtained dendrograms application to reveal individual and mutual chemical element effects on the multi element alloys performance together with uniqueness of such an information for industrial alloys were emphasized. Some prospect possibilities were noted for the obtained dendrograms application: - as a first stage of a multi-parameter process analysis in industrial conditions, – a ground stage of the multiple regression models further development and final multipurpose technological processes optimization conducting.
Discussion on Protein Metabolism and Requirement of Aerobics Athletes during Training Based on Multisensor Data Fusion

Competitive aerobics has emerged as a highly competitive sport beyond its own physical limit. Modern competitive aerobics competition is very fierce; athletes cannot only rely on a specific competitive skill to achieve good results. Protein is the physical basis of life activity. The life activity of human body is closely related to protein, and protein is closely related to human exercise ability. This article aims to study protein metabolism and demand of aerobics athletes during training based on multisensor data fusion. A total of 26 female aerobics athletes were randomly divided into two groups: exercise group and exercise + nutrition group. According to the characteristics of human motion, a comprehensive measurement acquisition sensor system for collecting human motion information is designed and implemented, and the system is used to monitor the subject's protein condition in real time. The subjects took protein nutrient solution before breakfast every day. The dynamic recognition algorithm designed in this paper also has shortcomings, and the monitoring protein method based on gait and other signs is not completely correct. The experiment lasted for 7 weeks. The results showed that the level of serum transferrin receptor decreased significantly in the quiet + nutrition group for 4 weeks, which was significantly different from that at 0 and 3 weeks in the same group (P < 0.01) and was significantly different from that in the same group at 7 weeks (P < 0.05). In the exercise group, the level of serum transferrin receptor increased significantly at 5 weeks, compared with the same group at 0 and 3 weeks (P < 0.05).
Target recognition and localization based on lightweight single-shot multibox detector network for robotics

Abstract. Target recognition and localization are essential in computer vision and pattern recognition in robotics. The artificial extraction of features was omitted with the emergence of deep convolutional neural networks, reducing the influence of human factors on the results. The single-shot multibox detector (SSD) network has achieved excellent recognition by high precision and fast speed in target recognition and positioning. However, some small real-time systems are difficult to implement because of their demanding hardware and extended training time. Based on the digital normalization and residual network structure, the depth-wise separable convolution is proposed to replace the traditional convolution. The improved SSD network structure was used for identification and positioning in our work. The speed of training and testing increased without a decline in the accuracy, thus reducing the dependence on hardware. The method has achieved good results on the PASCAL VOC dataset after testing. It can also be applied to the field of intelligent inspection robots and intelligent security robots.
Energy-based learning for open-set classification in remote sensing imagery

ABSTRACT Scene classification in remote sensing imagery is generally addressed from a closed set-setting perspective where the training and testing domains share the same land-cover classes. In practice, we may face situations where test images can belong to new land-cover classes unseen during the training phase. Yet, the classifier will wrongly assign them to one of these known training classes. This calls for the development of specific open-set methods with unknown image detection ability. In this paper, we propose, an end-to-end learning approach based on vision transformers. We use energy-based learning to jointly model the class labels and data distribution by reinterpreting the logits of the token classification head of the transformer to learn the density of the training data. This trick allows the network to act as a generative model while retaining its discriminative power. In the test phase, we identify images with low log-likelihood scores as unknown and discard them from classification. Experiments on three remote sensing scene datasets confirm the promising capability of the proposed open-set classification model.
Evaluation of the Effect of Nutritional Intervention on Patients with Nasopharyngeal Carcinoma

Aim The paper aims to combine mathematical statistics to assess the effect of nutritional intervention in the population of nasopharyngeal cancer patients. Methodology. After following the inclusion and exclusion criteria, a total of 120 patients with nasopharyngeal carcinoma were selected. All patients are treated with intensity-modulated radiotherapy (IMRT). The nurse collects relevant clinical treatment data during the radiotherapy of the patient. After the patient's radiotherapy, the nurse remeasures the patient's nutritional status indicators. Three months after the completion of radiotherapy, the patient will be reexamined by MRI, and the radiotherapist will assess the patient's radiosensitivity based on the results of the MRI examination. All the blood biochemical indicators and body measurement indicators were also assessed and coordinated with nasopharyngeal carcinoma patients. This study performs multiple linear regression analysis on treatment-related factors that affect nutritional status during radiotherapy. Results The experimental results showed that the side effects of radiotherapy are independent influencing factors of nutritional status. Radiotherapy damages the DNA of cells, so that cells cannot continue to divide and grow, and all cells in the treatment area were affected by radiation. The standard radiotherapy treatment is quite long, and the oral cavity, throat, and parotid gland, are all within the irradiation range. In addition to killing the tumor cells, the radiation can also cause certain damage to the surrounding tissues of the tumor. This article takes radiosensitivity as the dependent variable (insensitivity = 0; sensitivity = 1) and takes the nutritional index NI, age, gender, education level, marriage, smoking, chronic disease history, TNM staging, whether the chemotherapy steps are the same or not, GTVnx prescription dose, and the number of radiotherapies as independent variables. AMC, albumin, hemoglobin, serum prealbumin, and transferrin are all correlated with radiosensitivity, which is consistent with the results of most studies. The results of multivariate logistic regression analysis showed that nutritional index (NI) was correlated with the radiosensitivity of nasopharyngeal carcinoma. Conclusion Finally, this paper concludes that nutritional intervention has a certain effect on the treatment of patients with nasopharyngeal carcinoma.