Body Parameters Research Articles

Integrating analysis of mRNA expression profiles indicates Sgk1 as a key mediator in muscle-brain crosstalk during resistance exercise

Abundant evidence has shown the protective effect of aerobic exercise on central neuronal system, however, research about resistance exercise remains limited. To evaluate the effect and potential molecular mechanisms of resistance exercise in improving cognition and mental health, three-month-old male C57BL/6J mice underwent resistance training for five weeks. Body parameters, cognitive performance and synaptic plasticity were then assessed. In both groups, total RNA from the frontal cortex, hippocampus and gastrocnemius was isolated and sequenced, GO term and KEGG analysis were performed to identify molecular mechanisms. The results from RNA sequencing were then verified by RT-PCR. Our data found that mice in training group showed reduced anxiety-like behavior and better spatial memory. Accordingly, resistance exercise specifically increased the number of thin spines without affecting the number of other kind of spines. mRNA sequence analysis showed that resistance exercise induced differential expression of hundreds of genes in the above three tissues. KEGG analysis indicated the FoxO signaling pathway the most significant changed pathway throughout the brain and muscle. GO terms analysis showed that Sgk1 was enriched in the three key cognition related BP, including long-term memory, learning or memory and memory, and the expression level of Sgk1 was positive related with cognitive performance in the water maze. In conclusion, resistance exercise improved the mental health, cognition and synaptic plasticity of mice. Integrating analysis of mRNA expression profiles in frontal cortex, hippocampus and muscle reveals Sgk1 as the key mediator in brain-muscle crosstalk.

Biomechanical effects of men’s dress shoes made with bacterial cellulosic composite

PurposeThis study aimed to compare the performance of sustainable shoes made with bacterial cellulosic composite and commercial leather shoes using an experimental research design. The two specific research objectives were: (1) to examine the basic material properties of multi-layered bacterial cellulosic materials (MBC), which include green tea-based cellulosic (GBC) mats, hemp fabrics, and denim fabrics, in comparison with those of two-layered leathers (MCP) consisting of calf-skin and pig-skin – commonly used in shoe manufacturing; and (2) to explore wearers’ performance in the two types of shoes by assessing quantitative kinematic and kinetic parameters of lower body movements.Design/methodology/approachThis study focused on assessing the basic materials testing and performance of sustainable shoes through a biomechanical approach, in contrast to commercially available leather shoes, through human wear trials. In this study, green tea-based cellulosic (GBC) mats were developed using the optimal combination of ingredients for cellulose growth. Subsequently, the GBC, denim fabric (100% cotton), and 100% hemp fabric were combined to create multi-layered bacterial cellulosic materials (MBC) as an alternative to leather. Additionally, calf-skin and pig-skin leathers were utilized to produce a commercially available two-layered leather (MCP), commonly employed in shoe manufacturing. 37 of the 42 human subjects who participated in wear testing were collected. A paired t-test was conducted to determine whether significant mean differences existed between the two shoe types, a paired t-test was conducted.FindingsTo develop a biodegradable and compostable material that could be used as a leather alternative for the footwear industry, we proposed MBC and examined its properties compared with those of MCP, a product often used when making shoes. These findings confirmed the similar properties of MBC and MCP from the material testing and the possibility of using a men’s sustainable shoe prototype as a leather alternative, in terms of kinematics and kinetics.Practical implicationsThe new multi-layered bacterial cellulosic materials (MBC) could be an alternative to commercial leathers such as innovative sustainable material construction, advanced design, and advanced techniques to optimize the overall performance of sustainable footwear.Originality/valueInvestigating the integration of smart textile technologies, ergonomic design principles, and personalized customization will contribute to developing MBC and making sustainable shoes using MBC compared with commercial leather shoes. This study provides valuable insights into further refinement and innovation in the sustainable footwear industry.

Metabolic Syndrome in people treated with Antipsychotics (RISKMet): A multimethod study protocol investigating genetic, behavioural, and environmental risk factors.

The RISKMet project aims to: (1) identify risk factors for metabolic syndrome (MetS) by comparing patients with and without MetS; (2) characterise patients treated with second-generation antipsychotics (SGAs) about MetS diagnosis; (3) study behavioural patterns, including physical activity (PA) and dietary habits, in patients and healthy individuals using a prospective cohort design. The RISKMet project investigates MetS in individuals treated with SGAs, focusing on both adult and paediatric populations. The study utilizes a case-control design to examine potential risk factors for MetS, categorizing participants as MetS+ considered as "Cases" and MetS- considered as "Controls" matched by sex and age. The evaluation of factors such as MetS, lifestyle habits, and environmental influences is conducted at two time points, T0 and T3, after 3 months. Subsequently, the project aims to assess body parameters, including physical examinations, and blood, and stool sample collection, to evaluate metabolic markers and the impact of SGAs. The analysis includes pharmacological treatment data and genetic variability. Behavioural markers related to lifestyle, eating behaviour, PA, and mood are assessed at both T0 and T3 using interviews, accelerometers, and a mobile app. The study aims to improve mental and physical well-being in SGA-treated individuals, establish a biobank for MetS research, build an evidence base for physical health programs, and develop preventive strategies for SGA-related comorbidities. This project innovates MetS monitoring in psychiatry by using intensive digital phenotyping, identifying biochemical markers, assessing familial risks, and including genetically similar healthy controls. ISRCTN18419418 at www.isrctn.com.

HIDE: Hierarchical iterative decoding enhancement for multi‐view 3D human parameter regression

AbstractParametric human modeling are limited to either single‐view frameworks or simple multi‐view frameworks, failing to fully leverage the advantages of easily trainable single‐view networks and the occlusion‐resistant capabilities of multi‐view images. The prevalent presence of object occlusion and self‐occlusion in real‐world scenarios leads to issues of robustness and accuracy in predicting human body parameters. Additionally, many methods overlook the spatial connectivity of human joints in the global estimation of model pose parameters, resulting in cumulative errors in continuous joint parameters.To address these challenges, we propose a flexible and efficient iterative decoding strategy. By extending from single‐view images to multi‐view video inputs, we achieve local‐to‐global optimization. We utilize attention mechanisms to capture the rotational dependencies between any node in the human body and all its ancestor nodes, thereby enhancing pose decoding capability. We employ a parameter‐level iterative fusion of multi‐view image data to achieve flexible integration of global pose information, rapidly obtaining appropriate projection features from different viewpoints, ultimately resulting in precise parameter estimation. Through experiments, we validate the effectiveness of the HIDE method on the Human3.6M and 3DPW datasets, demonstrating significantly improved visualization results compared to previous methods.

Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis

BackgroundObesity substantially contributes to the onset of acute pancreatitis (AP) and influences its progression to severe AP. Although body mass index (BMI) is a widely used anthropometric parameter, it fails to delineate the distribution pattern of adipose tissue. To circumvent this shortcoming, the predictive efficacies of novel anthropometric indicators of visceral obesity, such as lipid accumulation products (LAP), cardiometabolic index (CMI), body roundness index (BRI), visceral adiposity index (VAI), A Body Shape Index (ABSI), and Chinese visceral adiposity index (CVAI) were examined to assess the severity of AP.MethodThe body parameters and laboratory indices of 283 patients with hyperlipidemic acute pancreatitis (HLAP) were retrospectively analysed, and the six novel anthropometric indicators of visceral obesity were calculated. The severity of HLAP was determined using the revised Atlanta classification. The correlation between the six indicators and HLAP severity was evaluated, and the predictive efficacy of the indicators was assessed using area under the curve (AUC). The differences in diagnostic values of the six indicators were also compared using the DeLong test.ResultsPatients with moderate to severe AP had higher VAI, CMI, and LAP than patients with mild AP (all P < 0.001). The highest AUC in predicting HLAP severity was observed for VAI, with a value of 0.733 and 95% confidence interval of 0.678–0.784.ConclusionsThis study demonstrated significant correlations between HLAP severity and VAI, CMI, and LAP indicators. These indicators, particularly VAI, which displayed the highest predictive power, were instrumental in forecasting and evaluating the severity of HLAP.

Utilization of IoT-Based Healthcare System and Vital Data Monitoring of patients

The next generation of technology, known as the Internet of Things (IoT), will provide a comprehensive system that connects different domains, functions, and innovations. With the increasing demand for elderly care due to the growing ageing population, health monitoring systems have become increasingly important. Continuous monitoring is required in ICU to monitor the health conditions of patients. In cases where patients are released from the hospital, they are advised to rest and observed for a certain period, and the IoT system is very helpful in such cases. This article primarily discusses the implementation of a precise autonomous medical facility management system using IoT. In the past, only current data was displayed, and the patient's history could not be accessed. In this study, we propose an IoT-based healthcare system for continuous monitoring of a patient's health conditions. The healthcare system focuses on measuring and monitoring various biological parameters of the patient's body, such as heart rate, blood oxygen saturation level, and temperature, using a web server and an Android application. Doctors can continuously monitor the patient's condition on their smart phones using the Android application. Moreover, the patient's history will be stored on the web server, and doctors can access the information from anywhere without being physically present.

Random polytopes generated by contoured distributions

Our work is a further investigation on the connection between probability and geometry. We extend several known results from convex bodies and log-concave measures to the setting of contoured probability distributions as we study the relation of several parameters of a convex body, a profile function and the resulting contoured distribution, where log-concavity is not required.

The effect of a combined lifestyle intervention with and without protein drink on inflammation in older adults with obesity and type 2 diabetes

BackgroundChronic low-grade inflammatory profile (CLIP) is one of the pathways involved in type 2 diabetes (T2D). Currently, there is limited evidence for ameliorating effects of combined lifestyle interventions on CLIP in type 2 diabetes. We investigated whether a 13-week combined lifestyle intervention, using hypocaloric diet and resistance exercise plus high-intensity interval training with or without consumption of a protein drink, affected CLIP in older adults with T2D. MethodsIn this post-hoc analysis of the PROBE study 114 adults (≥55 years) with obesity and type 2 (pre-)diabetes had measurements of C-reactive protein (CRP), pro-inflammatory cytokines interleukin (IL)-6, tumor-necrosis-factor (TNF)-α, and monocyte chemoattractant protein (MCP)-1, anti-inflammatory cytokines IL-10, IL-1 receptor antagonist (RA), and soluble tumor-necrosis-factor receptor (sTNFR)1, adipokines leptin and adiponectin, and glycation biomarkers carboxymethyl-lysine (CML) and soluble receptor for advanced glycation end products (sRAGE) from fasting blood samples. A linear mixed model was used to evaluate change in inflammatory biomarkers after lifestyle intervention and effect of the protein drink. Linear regression analysis was performed with parameters of body composition (by dual-energy X-ray absorptiometry) and parameters of insulin resistance (by oral glucose tolerance test). ResultsThere were no significant differences in CLIP responses between the protein and the control groups. For all participants combined, IL-1RA, leptin and adiponectin decreased after 13 weeks (p = 0.002, p < 0.001 and p < 0.001), while ratios TNF-α/IL-10 and TNF-α/IL-1RA increased (p = 0.003 and p = 0.035). CRP increased by 12 % in participants with low to average CLIP (pre 1.91 ± 0.39 mg/L, post 2.13 ± 1.16 mg/L, p = 0.006) and decreased by 36 % in those with high CLIP (pre 5.14 mg/L ± 1.20, post 3.30 ± 2.29 mg/L, p < 0.001). Change in leptin and IL-1RA was positively associated with change in fat mass (β = 0.133, p < 0.001; β = 0.017, p < 0.001) and insulin resistance (β = 0.095, p = 0.024; β = 0.020, p = 0.001). Change in lean mass was not associated with any of the biomarkers. Conclusion13 weeks of combined lifestyle intervention, either with or without protein drink, reduced circulating adipokines and anti-inflammatory cytokine IL-1RA, and increased inflammatory ratios TNF-α/IL-10 and TNF-α/IL-1RA in older adults with obesity and T2D. Effect on CLIP was inversely related to baseline inflammatory status.

Morphometric evaluation of Aedes aegypti (Linnaeus, 1762) and Culex quiquefasciatus (Say, 1823) (Diptera: Nematocera: Culicidae) of different metamorphosis stages

Morphometric comparison of Aedes. aegypti and Culex. quiquefasciatus larval instars and pupae were done through the measurements of total body length, length of head, thorax and abdomen as well as length and width of different external body parameters. From linear regression of the data from different larval instars showed that the important morphological features were the size of the head, thorax and abdomen of the Ae. Aegypti and Cx. Quinquefasciatus. They increased significantly with the advanced metamorphosis stages (p≤0.05). Size of the external larval organs viz. antennae, comb spine, siphon, anal papilla were also significantly (p≤0.05) increased during stages of metamorphosis. Bangladesh J. Zool. 51(3): 329-343, 2023

Flood Prediction System Using IOT &amp; Artificial Neural Network

Floods pose significant challenges as one of nature's most devastating disasters, making the development of accurate forecast model’s complex. This issue has led to severe consequences such as crop loss, population displacement, damage to infrastructure, and disruption of essential services. Advanced research on flood prediction models has played a crucial role in providing policy recommendations, mitigating risks, reducing human casualties, and minimizing property damage caused by floods. In this context, we propose an Internet of Things (IoT)-based flood prediction and forecasting model that prioritizes energy efficiency. Given the limited battery and memory capacity of IoT sensor nodes, we employ an energy-saving strategy within the fog layer, leveraging data diversity to minimize energy consumption. Additionally, cloud technology offers an effective storage solution. To accurately calibrate flood phases, we investigate climatic factors such as humidity, temperature, rainfall, as well as water body parameters including water flow and elevation. Neural networks are commonly used in constructing forecast systems, as they can replicate the complex calculations involved in flood physical processes, resulting in improved performance and cost-effectiveness. In our approach, the Artificial Neural Network (ANN) technique is employed for flood forecasting, and the effectiveness of different algorithms, such as Logistic Regression and Decision Tree, is assessed by comparing them to ANN. Accuracy values are computed using a classification report assessment, and graph parameters are carefully evaluated. Ultimately, our proposed system utilizes the ANN technique to train a predictive model by examining the dataset. This model generates real-time flood risk forecasts through a user-friendly graphical interface.

The Specifics of Self-Body Image Perception and Self-conception in Women with Different Body Mass Indexes

Introduction. Currently, a relevant object of research is the identification of differences in women’s perception of their actual weight and subjective assessment of their body image and self-conception in relation to weight. Since the perception of body image is greatly influenced by fashion trends and beauty standards broadcast in society, women may exhibit different cognitive and behavioral patterns depending on their body mass index.Objective. To study the relationship between the features of perception of body image and self-esteem in women with different body mass indexesMaterials and methods. The following methods were used in the study: author’s questionnaire-questionnaire of Yetumyan L. A. and Komerova N. A. and Komerova N. E.; Thomas Cash’s Multimodal Body Self-Relationship Questionnaire (MBSRQ, Thomas F. Cash) adapted by Baranskaya L. T. and Tataurova S. T. and Tataurova S. С. The Mann-Whitney U statistic for two independent samples and the r-Spearman rank correlation coefficient were used for mathematical processing of the data.Results. The study included 137 women with different BMI values ranging from 17 to 72 years of age. The mean age of the respondents was 35 years. According to our questionnaire survey, more than 40 % of respondents had overweight or obesity of the 1st, 2nd or 3rd degree. The results are presented by five scales reflecting the following parameters of attitude to one’s own body: evaluation of appearance, appearance orientation, satisfaction with body parameters, concern about being overweight, self-assessment of weight. The results of comparative analysis in two groups have been described – women with low and normal BMI and women with excessive BMI.Discussion. Women in groups with different body mass index have differences in their orientation to appearance. Thus, the higher the weight of women with high BMI, the lower they evaluate the level of their attractiveness and the less effort they put into improving their appearance. They are also more indifferent to appearance. No such correlation was found in women with low and normal BMI. The high importance of appearance for women from both subgroups is directly correlated with a high level of concern about excess weight, which indicates an attitude to one’s own weight as one of the factors determining external attractiveness.

Dynamics Analysis of Separation Mechanism for Rotating Projectiles at the End of Trajectory

Spin separation technology is a key technology for realizing the detection function at the end of the rotational trajectory. It is also a necessary condition for the fuse control system to adjust its control strategy according to actual combat needs. To explore a new type of proximity fuse detection method, this article first designs a detection separation mechanism for the end of the trajectory. An interior ballistic model of the separation mechanism was then established through closed bomb tests and equivalent interior ballistic equations, and the aerodynamic parameters of the front-stage separation body at the moment of separation were obtained based on computational fluid dynamics numerical simulation. Finally, a separation dynamics model of the separation mechanism was established to analyze the motion state after the separation action of the front-stage separation body. The results demonstrate the feasibility of the proposed separation mechanism. The discrepancy between the simulation and experiment of the velocity increment for the front-stage separation body is about 1.07%. The attack angle for the front-stage separation body is below 2°, and the period with a displacement between two stage bodies greater than 3 m is around 0.365 s. This research can provide new ideas and theoretical references for the design of a similar fuse detection separation mechanism.

Advanced Authentication and Energy-Efficient Routing Protocol for Wireless Body Area Networks

Recently, wireless body area network (WBAN) becomes a hot research topic in the advanced healthcare system. The WBAN plays a vital role in monitoring the physiological parameters of the human body with sensors. The sensors are small in size, and it has a small-sized battery with limited life. Hence, the energy is limited in the multi-hop routing process. The patient data is collected by the sensor, and the data are transmitted with high energy consumption. It causes failure in the data transmission path. To avoid this, the data transmission process should be optimized. This paper presents an advanced authentication and energy-efficient routing protocol (AAERP) for optimal routing paths in WBAN. Patients’ data are aggregated from the WBAN through the IoMT devices in the initial stage. To secure the patient’s private data, a hybrid mechanism of the elliptic curve cryptosystem (ECC) and Paillier cryptosystem is proposed for the data encryption process. Data security is improved by authenticating the data before transmission using an encryption algorithm. Before the routing process, the data encryption approach converts the original plain text data into ciphertext data. This encryption approach assists in avoiding intrusions in the network system. The encrypted data are optimally routed with the help of the teamwork optimization algorithm (TOA) approach. The optimal path selection using this optimization technique improves the effectiveness and robustness of the system. The experimental setup is performed by using Python software. The efficacy of the proposed model is evaluated by solving parameters like network lifetime, network throughput, residual energy, success rate, number of packets received, number of packets sent, and number of packets dropped. The performance of the proposed model is measured by comparing the obtained results with several existing models.

Biological Parameters and Spermatogenesis in Razorfish (Pelecus cultratus) Population Inhabiting the Largest Shallow Lake of Central Europe (Lake Balaton): Studies for In Vitro Conservation Purposes

The study aimed to investigate body parameters and the process of spermatogenesis from April to September. In addition, it sought to test the applicability of sperm cryopreservation for conservation purposes in a razorfish (Pelecus cultratus) population of Lake Balaton, the largest shallow lake in Central Europe. During the aforementioned period, measurements were taken for the standard length (SL, cm) and body weight (BW, g), and the sex of specimens was determined. Cells at different stages of spermatogenesis (spermatogonia-SG, spermatocytes-SC, spermatids-ST, and spermatozoa-SZ) were quantified monthly for each male sample. Sperm samples collected at the end of May were cryopreserved using a method designed for common carp. No significant differences were found between males (SL: 25 ± 2 cm and BW: 146 ± 38 g) and females (SL: 26 ± 3 cm and BW: 168 ± 53 g) in terms of measured body parameters. No significant correlations were found between the sex, SL, and BW. High standard deviations were observed for all mean values in all sampling periods, possibly due to the low number of individual samples per month. A significantly higher proportion of SC compared to SZ was found in April. In May, no differences were observed between the four groups. Significantly more SG and SZ than SC and ST were observed in June. In August and September, a slight dominance in the number of SG was recorded, with no differences measured among the cells in different developmental stages. The males studied exhibited a low gonadosomatic index (0.92% ± 0.27%). A significant reduction was recorded in motility (MOT), progressive motility (pMOT), and in most of the kinetic parameters (distance curved line-DCL, curvilinear velocity-VCL, straight line velocity-VSL, and beat cross frequency-BCF). The spermiation of males could have started in May and conceivably lasted until the end of June. It is recommended to increase sperm quality and quantity before cryopreservation.

Novel growth reference ImaGrow differed from existing charts for preterm children aged 0-2 years.

This study aimed to address the critical need for more accurate growth reference charts for preterm infants, with a particular focus on low- and very low-birth-weight infants. The subjects were recruited at a single tertiary centre. The cohort comprised singleton and twin infants born before 37 weeks of gestation, with data collected from 2000 to 2016. Standardised measurements of body parameters were recorded in this mixed longitudinal survey. LMS method was utilised for data analysis. Statistical analysis was performed using SPSS Statistics Version 21. The validation with another new cohort was executed. A total of 1781 infants (52.5% boys) met the inclusion criteria. The median gestational age at birth was 30 weeks, with a median birth weight of 1350 grams. The main findings included the construction of ImaGrow charts for low- and very low-birth-weight infants and significant differences in growth trajectories compared to Fenton+WHO charts. Our comprehensive growth references, ImaGrow, are based on a long-term auxological assessment of preterm infants and differ from charts derived from size-at-birth standards or charts for term babies. These charts have significant implications for clinical practice in monitoring and assessing the growth of preterm infants.

Ultrasonographic Assessment of Liver Size and its Association to Selected Morphometric Parameters of Domestic Dogs in Accra, Ghana

Introduction: The global unpopularity of linear ultrasonographic measurement, due to its inherent subjectivity, contrasts with the safety, portability, low cost, and real-time capabilities of this imaging modality. The increased availability of ultrasounds in veterinary practice in Ghana presents an opportunity to provide ultrasonographic liver size reference ranges to aid the diagnosis of hepatopathies in domestic dogs. Therefore, this study sought to establish ultrasonographic liver size reference ranges of dogs in Accra, Ghana. It also aimed to to investigate the correlation between liver size and selected morphometric parameters in these domestic dogs. Materials and methods: A total of 60 dogs from different domestic breeds, sexes (27 males and 33 females), age ranges (2.82 ± 2.12 years), weights (28.83 ±9.98kg), and body conformation were sampled. Purposive sampling of dogs was performed based on presenting history, clinical signs, physical exam, and blood analysis. Blood samples were collected for serum biochemistry to distinguish between those classified as healthy and those presenting with clinical illness. Additionally, all dogs were subjected to linear ultrasonographic liver size measurements in longitudinal and transverse planes. Results: The findings indicated a strong positive correlation of mean longitudinal sonographic liver measurement with body height, body girth (the widest point of the chest and the rib cage), the distance between the last rib and the tuber coxa, and the distance between the xiphoid and the tuber ischium. Equations were derived from the mean longitudinal sonographic measurement and these body parameters for deep and non-deep-chested breeds. This study helped to establish equations that can be used to estimate the longitudinal liver measurement. Conclusion: This information can be used in clinical settings to help veterinarians (even with basic knowledge of hepatic ultrasonography) to have a fair idea of hepatopathies relating to size.

Assessment of Body Mass Index, Body Composition, Physical Activity, and Dietary Preferences in University Students: A Pilot Study

(1) Background: Body composition analysis, particularly the assessment of the amount and distribution of body fat and muscle mass in young people, is of considerable clinical importance for the detection of nutritional disorders. (2) Methods: University students aged 19–25 years had their body composition measured using a bioimpedance (BIA) device InBody 370S. Furthermore, a questionnaire survey was performed using the questionnaires: factors that influence your choice of food (FCQ); food preference questionnaire for adolescents and adults (FPQ); the international physical activity questionnaire (IPAQ). (3) Results: Body mass index (BMI) values were within a normal range in 89.5% of men and 77.9% of women, while statistically significant differences between the sexes were confirmed for all body parameters (p &lt; 0.001; p = 0.025). The waist-to-hip ratio (WHR) and percentage body fat (PBF) were abnormally high in 50.4% and 44.3% of women, respectively. High values of skeletal muscle mass (SMM), protein, minerals, and bone mineral content (BMC) were identified in 36.8% of men. A total of 88 students (66.7% of men and women) had a higher level of physical activity, i.e., achieved metabolic equivalent (MET) values of more than 3000 per week. (4) Conclusions: BMI does not always have explanatory power for assessing body weight, as it does not consider the percentage distribution of fat and non-fat body mass in the total body weight. Physical activity and a varied diet have a positive effect on achieving optimal body weight and are effective in preventing nutritional disorders (such as obesity and malnutrition) and associated health problems.

Fast Human Motion reconstruction from sparse inertial measurement units considering the human shape

Inertial Measurement Unit-based methods have great potential in capturing motion in large-scale and complex environments with many people. Sparse Inertial Measurement Unit-based methods have more research value due to their simplicity and flexibility. However, improving the computational efficiency and reducing latency in such methods are challenging. In this paper, we propose Fast Inertial Poser, which is a full body motion estimation deep neural network based on 6 inertial measurement units considering body parameters. We design a network architecture based on recurrent neural networks according to the kinematics tree. This method introduces human body shape information by the causality of observations and eliminates the dependence on future frames. During the estimation of joint positions, the upper body and lower body are estimated using separate network modules independently. Then the joint rotation is obtained through a well-designed single-frame kinematics inverse solver. Experiments show that the method can greatly improve the inference speed and reduce the latency while ensuring the reconstruction accuracy compared with previous methods. Fast Inertial Poser runs at 65 fps with 15 ms latency on an embedded computer, demonstrating the efficiency of the model.

Agrotechnical performance indicators of the asymmetric working body of a fallow cultivator

BACKGROUND: Obtaining sustainable and high-quality harvest is important for the production of agricultural products. It is known that up to 40-45% of all energy costs are spent on preparing the soil for sowing when cultivating agricultural crops. Surface-fallow tillage is a subtle technological process, it influences on normal distribution of the seed material in depth and, as a consequence, the further uniformity of seedlings. To ensure the process flow of pre-sowing preparation of the soil for sowing, a new asymmetric working body for a fallow cultivator was developed in the Donskoy Agrarian Scientific Center, the structural subdivision of the SKNIIMESKh, Zernograd. There is a task to conduct a comparative analysis of operation of the new working body with V-shaped sweeps when preparing the soil for sowing. AIM: Conducting a comparative analysis of operation of a serial V-shaped sweep with the new proposed asymmetric working body of a fallow cultivator by field research in the fields of the Donskoy ANC. METHODS: The research in the fields of Donskoy ANC was conducted according to the GOST 33687-2015 “Machines and tools for surface tillage” regional standard. Well-known statistical extrapolation methods implemented in the Microsoft Excel environment were used for data processing. RESULTS: The optimal operating parameters of the new proposed asymmetric working body have been determined in comparison with the serial working body of a fallow cultivator. CONCLUSIONS: According to the conducted laboratory and field studies, the parameters and operating modes of the new asymmetric working body were obtained.

Poor diet quality is associated with biochemical parameters of protein nutritional status after Roux-en-Y gastric bypass

ObjectiveTo assess diet quality and its association with body and biochemical parameters in patients who underwent Roux-en-Y gastric bypass (RYGB). MethodsProspective observational study with individuals of both sexes subjected to RYGB. Body composition, biochemical parameters, and diet quality were assessed before and six months after RYGB. Diet quality was assessed by the Healthy Eating Index (HEI). Data were analyzed by the paired t-test or Wilcoxon signed-rank test, with a significance level of 5%. Spearman's correlation and simple linear regression were performed between variables. ResultsThe final sample included 34 patients. Their diet was classified as poor before and 6 mo after RYGB. BMI, fat mass, fat-free mass, waist perimeter, serum total protein, transthyretin, alpha-1-acid glycoprotein, and C-reactive protein decreased significantly (P < 0.05). Variations in the HEI score and caloric intake were associated with serum albumin and transthyretin (P < 0.05). ConclusionPoor diet quality was present before and six months after RYGB, and the study data suggest that poor diet quality is associated to a risk of loss of lean body mass and visceral protein six months after RYGB.