Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence of viral hepatitis infection in India: A systematic review and meta-analysis

BACKGROUND: Nowadays, Viral Hepatitis can be comparable to the big three communicable diseases: tuberculosis, HIV/AIDS, and malarial infections. The main purpose of this study was to summarize the prevalence of viral Hepatitis in India from peer-reviewed articles published from February 2000 to February 2021. MATERIALS AND METHODS: We conducted a systematic search on Science Direct, Scopus, Medline, PubMed, Web of Science, Google Scholar, and other open access journals. We evaluated all relevant papers that looked into the prevalence of viral Hepatitis systematically. Finally, 28 studies on viral Hepatitis published from February 2000 to February 2021 have been selected. These studies have been conducted across the northern, southern, central, eastern, and western regions of India. RESULTS: Twenty-eight full-text publications were obtained and evaluated consisting of 45,608 research participants. Hepatitis A was found to range from 2.1% to 52.5%. Hepatitis B was found in a wide range of individuals, ranging from 0.87% to 21.4% of the population. Hepatitis C was found to range from 0.57% to 53.7%. The majority of the children were affected by hepatitis A, and 47.4% of third-trimester pregnant mothers were affected by hepatitis E. Diabetes, hospital admission, history of jaundice, history of surgeries, and heterosexual contact were the leading modes of acquiring HBV and HCV infections. As a result of its great magnitude, this disease poses a severe threat to the national healthcare system. CONCLUSION: Effective public health measures are urgently needed to minimize the burden of viral Hepatitis and eliminate the disease.
Nonlinear Homotopic Continuation Methods: A Chemical Engineering Perspective Review

It is difficult to imagine mathematics or engineering to date without nonlinear algebraic systems; these topics have deserved more diverse and vigorous interest over the years. In fact, one of the most important modern branches of mathematics originated in this context, topology, which has been inseparable from homotopy theory, describes a powerful intuitive tool to solve nonlinear algebraic systems. In the present work, we attempt to briefly summarize the theoretical beginnings of homotopy, its eventual transformation into a numerical method, its most reiterative applications in chemical engineering, and some current challenges in this field from an engineering-friendly perspective, especially approachable for chemical engineers.
An External Parameter Optimize Method for 3D Optical Measurement System

A simple and effective external parameter calibration and optimize method based on epipolar geometry for improving the accuracy and stabilization of 3D optical measurement system are present. First, the internal parameters of two cameras are calibrated using the planar calibration method. Then using the parameters as initial value calibrates the external parameter of the 3D optical measurement system in every view. Optimization result is computed through minimizing epipolar line error of the same pair of points in every view. Experimental results show that the measurement precision is high and stable in the measurement volume.
The mediating role of perceived stress in the relationship between neuroticism and death anxiety among women in Isfahan during the coronavirus pandemic

BACKGROUND: The aim of this study was to evaluate the structural modeling of the mediating role of perceived stress in the relationship between neuroticism and death anxiety among 25–50-year-old women during coronavirus infection. MATERIALS AND METHODS: The present correlational study was conducted with the presence of 130 people (women) using the available sampling method in Isfahan. The Perceived Stress Scale, BFI Five Factor Scale and Death Anxiety Scale were used to measure the research variables. Data analysis was performed using structural equation modeling, and also SPSS version 23 and Smart PLS3 statistical. RESULT: Findings show that the indirect coefficient of neuroticism on death anxiety mediated by perceived stress in the model was significant (P < 0.05) although the mediation rate was partial. Also, in modeling structural equations, the direct effect of perceived stress on death anxiety (0.195), neuroticism on perceived stress (0.305), neuroticism on death anxiety (0.407) were achieved significantly (05/0p). CONCLUSIONS: Based on the results of the study, it can be concluded that with increase of neuroticism, death anxiety increases in women and with the entry of perceived stress in this regard and increasing this variable in women, the effect of neuroticism on death anxiety increases. Paying attention to this mechanism can be useful in formulating effective preventive and therapeutic interventions for women to reduce the effects of neuroticism and death anxiety.
Targeting the KLF5-EphA2 axis can restrain cancer stemness and overcome chemoresistance in basal-like breast cancer

Ephrin type-A receptor 2 (EphA2) is a member of the tyrosine receptor kinases, a family of membrane proteins recognized as potential anticancer targets. EphA2 highly expressed in a variety of human cancers, playing roles in proliferation, migration, and invasion. However, whether and how EphA2 regulates basal-like breast cancer (BLBC) cell stemness and chemoresistance has not been revealed. Here, KLF5 was proven to be a direct transcription factor for EphA2 in BLBC cells, and its expression was positively correlated in clinical samples from breast cancer patients. The inflammatory factor TNF-α could promote BLBC cell stemness partially by activating the KLF5-EphA2 axis. Moreover, phosphorylation of EphA2 at S897 (EphA2 pS897) induced by TNF-α and PTX/DDP contributes to chemoresistance of BLBC. Furthermore, the EphA2 inhibitor ALW-II-41-27 could effectively reduce EphA2 pS897 and tumor cell stemness in vitro and significantly enhance the sensitivity of xenografts to the chemotherapeutic drugs PTX and DDP in vivo. Clinically, tumor samples from breast patients with less response to neoadjuvant chemotherapy showed a high level of EphA2 pS897 expression. In conclusion, KLF5-EphA2 promotes stemness and drug resistance in BLBC and could be a potential target for the treatment of BLBC.
Koudougou (Burkina Faso, Africa), GPS-TEC Response to Recurrent Geomagnetic Storms during Solar Cycle 24 Declining Phase

In this paper, we presented the effect of moderate geomagnetic storms on the TEC variation at the Koudougou station (Geo Lat 12° 15 ′ N; Geo Long: -2° 20 ′ E) in Burkina Faso (Africa) during the descending phase of solar cycle 24. For this purpose, four moderate geomagnetic storms without storm sudden commencement (SSC) or sudden impulse (SI) that occurred on May 13, 2015 (Dst: -76 nT), June 08, 2015 (Dst: -73 nT), September 11, 2015 (Dst: -80 nT), and May 08-09, 2016 (Dst: -88nT), were considered. These moderate storms were found to be associated with transients induced by fast solar winds. At the Koudougou station, TEC variation shows a positive response to the different moderate geomagnetic storms studied, with increases of order of 2-21 TECU around 1300-1500 UT except for September 11, 2015, TEC variation which shows sometimes negative responses at a few hours (mainly at night). TEC increases observed are a function of geomagnetic parameter (magnitude and polarity) variation. Storm-induced electric field and neutral winds are the main drivers of TEC changes observed during the selected geomagnetic storms. In addition, it was found that the TEC peak on storm day behaves differently compared to the days before and after the storm depending on whether Dst is positive or negative before southward inversion. Indeed, a TEC small peak relative to the days before and after the storm is observed when Dst is negative before southward inversion, and a larger peak occurs in the opposite case. The reasons for these differences are not investigated in this paper.
Second order dynamical sliding mode control and its application to output tracking of mobile manipulators

Combining high-order sliding mode control with dynamical sliding mode control,a second order dynamical sliding mode controller is proposed for output tracking problem of mobile manipulators.Firstly,the reduced dynamic model including motor dynamics is developed for mobile manipulators.The system is then decomposed into four lower-dimensional subsystems by applying diffeomorphism and nonlinear input transformation to the reduced model.The design of the second order dynamical sliding mode controller is then addressed for the output tracking of mobile manipulators.Finally,the results of numerical simulation verify that the second order dynamical sliding mode controller can not only track the given trajectory but also considerably reduce the chattering of sliding mode control systems.
Impact localization and force reconstruction for composite plates based on virtual time reversal processing with time-domain spectral finite element method

Composite structures are widely used in different industries as important load-carrying components due to their excellent performance. These structures are prone to be damaged under low-velocity impacts with invisible cracks. Hence, impact identification is a critical part of composite structural health monitoring. In this paper, an approach is developed, which is based on time-reversal (T-R) processing and time-domain spectral finite element method. The spatial and temporal focusing properties of T-R are utilized to locate the impact source and restore the impact force, respectively. Moreover, the impact energy is evaluated by establishing the function of impact force and kinetic energy at the impact moment. The proposed method is validated experimentally for different scenarios. The influences of the signal length and accuracy of the numerical model on the proposed method are discussed in detail. The results demonstrate that the proposed method can correctly locate the impact source in composite structures, and the identified impact force can reproduce the impact event efficiently. The impact localization is essentially independent of the effect of signal length while it is vulnerable to the mesh grid. Besides, the developed method has consistent results in the case of data perturbation of material properties in the numerical model, which shows its good robustness.
IR modeling and simulation of space target/star and space environment

The implementation of the dynamic IR image simulation on space target/star and space environment was introduced. Firstly, by establishing 3D model of the space target, the heated condition of space target was analyzed, and the infrared heat radiation model of the target outer surface was built. The calculation results were quantized into gray-scale value, and the IR image of the space target was generated. Then, a new hybrid method, which combined traditional theory-model method with the method of eliminating targets in the IR image of real scene, was used in the IR image simulation on star and space environment. At last, the generated IR image of space target with the IR image of star and space environment were synthesized by gray scale normalizing in the gray level. And, the images were synthesized according to the optical axis direction of the IR sensor in the space level. Meanwhile, the whole dynamic image of space target/star and space environment was synthesized.
Implementing Human Resource Information System (HRIS) for Efficient Human Resource Management

Technological developments cause the need for changes in resource management. This is done so that resource management in a company becomes more efficient and can compete well with competing companies. One step in developing resource management to increase efficiency is implementing the Human Resource Information System (HRIS). This research will be conducted to see how the implementation of HRIS can improve the efficiency of Human Resource Management. This research will be carried out using a descriptive qualitative approach. The data used in this study comes from various research results and previous studies. The results of this study then found that the existence of HRIS has the potential to increase the effectiveness and efficiency of HRM. This is because HRIS can optimize human resource management in the areas of planning, recruitment and selection, development, performance evaluation, and compensation. This increase can help the organization succeed in competing with other organizations.
Application of mmWave Radar Sensor for People Identification and Classification

Device-free indoor identification of people with high accuracy is the key to providing personalized services. Visual methods are the solution but they require a clear view and good lighting conditions. Additionally, the intrusive nature leads to privacy concerns. A robust identification and classification system using the mmWave radar and an improved density-based clustering algorithm along with LSTM are proposed in this paper. The system leverages mmWave radar technology to overcome challenges posed by varying environmental conditions on object detection and recognition. The point cloud data are processed using a refined density-based clustering algorithm to extract ground truth in a 3D space accurately. A bi-directional LSTM network is employed for individual user identification and intruder detection. The system achieved an overall identification accuracy of 93.9% and an intruder detection rate of 82.87% for groups of 10 individuals, demonstrating its effectiveness.
Based on human-like variable admittance control for human–robot collaborative motion

Abstract Admittance control of the robot is an important method to improve human–robot collaborative performance. However, it displays poor matching between admittance parameters and human–robot collaborative motion. This results in poor motion performance when the robot interacts with the changeable environment (human). Therefore, to improve the performance of human–robot collaboration, the human-like variable admittance parameter regulator (HVAPR) based on the change rate of interaction force is proposed by studying the human arm’s static and dynamic admittance parameters in human–human collaborative motion. HVAPR can generate admittance parameters matching with human collaborative motion. To test the performance of the proposed HVAPR, the human–robot collaborative motion experiment based on HVAPR is designed and compared with the variable admittance parameter regulator (VAPR). The satisfaction, recognition ratio, and recognition confidence of the two admittance parameter regulators are statistically analyzed via questionnaire. Simultaneously, the trajectory and interaction force of the robot are analyzed, and the performance of the human–robot collaborative motion is assessed and compared using the trajectory smoothness index and average energy index. The results show that HVAPR is superior to VAPR in human–robot collaborative satisfaction, robot trajectory smoothness, and average energy consumption.
Regional differences in fatty acid composition in common minke whales (Balaenoptera acutorostrata) from the North Atlantic

Variation in fatty acid (FA) composition of blubber collected in 1998 from 170 common minke whales (Balaenoptera acutorostrata) was used to study population structure in the North Atlantic. Samples from seven IWC management units were analysed: West Greenland (‘WG’, n = 69); East Greenland (‘CG’, n = 3); Jan Mayen (‘CM’, n = 24); Svalbard (‘ES’, n = 16); the Barents Sea (‘EB’, n = 30); Vestfjorden/Lofoten (‘EC’, n = 7); and the North Sea (‘EN’, n = 21). FA analyses were conducted on both deep and superficial blubber with a one-step extraction and esterification method followed by gas-chromatography. The 43 FAs identified comprised 93-99% of total FAs. CART and MANOVA analyses on FA signatures in both blubber sections suggested a ‘3-geographic Regions model’ where the regions were Greenland (WG, CG), the Northeast Atlantic (CM, ES, EB, EC) and the North Sea (EN). This is in general agreement with a genetic study on the same samples and suggests that differences in FA signatures can be used for studying population structure in minke whales. Potential variation in FA signatures caused by internal and environmental factors needs to be better understood. It is recommended that future studies of blubber FA signatures in minke whales include samples from their entire North Atlantic range (including Canadian and Icelandic waters). Samples should be collected from a pre-specified body site to rule out possible internal variation and during a narrow time-window in the same year to rule out seasonal exchange between areas.
Comparison of somatic cell counting with the Fossomatic 360 and the Somascope.

Duplicate samples of mixed milk (n = 13 927) were collected to compare somatic cell counting with the Somascope and the Fossomatic 360. To estimate sampling and assay variability, somatic cell count (C) was measured with the Fossomatic 360 on 295 duplicate milk samples. The total variance was 1042 x 10 6 . The contribution of the measuring instrument (Fossomatic 360) and the sampling procedure were 12.7 and 87.3%, respectively. The overall variance of the paired differences of the logarithmically transformed numerical value of C (expressed in μL -1 ) (In{C}) of the 295 duplicate milk samples all measured with the Fossomatic 360, was 0.08. Additionally, accuracy of the Somascope was evaluated on 9558 duplicate milk samples. In one of the duplicate milk samples, C was measured with the Fossomatic 360; in the other, with the Somascope. The variance of the paired differences of ln{C} between the Somascope and the Fossomatic 360 was 0.14. Comparison of the ln{C} per class (class width = 1 on the log e scale) showed 77.4, 28.1 and 11.3% overestimation of In{C}, measured with the Somascope, in the classes ≤ 2,2-3 and 3-4, respectively, and 1.4, 2.6 and 4.6% underestimation in the classes 6-7, 7-8 and >8, respectively, indicating a lower accuracy of the Somascope in these classes. The Pearson correlation of In{C} between the Fossomatic 360 and the Somascope was 0.96. The Pearson correlation of In{C} of the duplicate milk samples measured twice with the Fossomatic 360 was 0.97. Simple linear regression (Somascope against Fossomatic) showed a significant intercept, b 0 (±s.e.)= 1.13 (±0.011) and the slope, b 1 (±s.e.) = 0.803 (±0.0022), differed from the ideal value of 1 (P 250 x 10 3 mL -1 using the Somascope as compared to the Fossomatic 360, was 0.89, 0.95 and 0.97, respectively. The Somascope, when correctly calibrated, is an acceptable alternative for measuring C for field trial purposes and for dairy herd improvement programme.
Retrospective Comparison of Hospital Outcomes among Mechanically Ventilated COVID-19 Patients in ICU Who Received Methylprednisolone or Dexamethasone

Background: A number of corticosteroids are commonly used to treat COVID-19 infection. The aim of this retrospective study was to compare various hospital outcomes among mechanically ventilated COVID-19 patients in an ICU, who were administered either dexamethasone or methylprednisolone. Methods: A total of 121 mechanically ventilated COVID-19 patients from the ICU were included in the analysis, of which 43.8% (n = 53) received methylprednisolone, while 56.2% (n = 68) received dexamethasone. Results: In-hospital mortality (p = 0.381) and hospital length of stay (p = 0.307) were lower among the methylprednisolone group, compared to the dexamethasone group, though not significantly. Survival analysis showed that there were no significant differences between the methylprednisolone and dexamethasone groups (p = 0.978). A Cox proportional regression analysis showed that in-hospital mortality was lower among COVID-19 patients receiving methylprednisolone, compared to the dexamethasone group, though not significantly (hazard ratio (HR), 0.64; 95% CI: 0.35–3.17). Conclusion: Our study showed that in-hospital mortality was lower and hospital length of stay was higher among COVID-19 patients receiving methylprednisolone, compared to dexamethasone. These findings could have been due to the small sample size and limited scope of the study. Therefore, future large-scale studies should evaluate and confirm the findings in this study.
EXPLAINING XGBOOST PREDICTIONS WITH SHAP VALUE: A COMPREHENSIVE GUIDE TO INTERPRETING DECISION TREE-BASED MODELS

Understanding the factors that affect Key Performance Indicators (KPIs) and how they affect them is frequently important in sectors where data and data science are crucial. Machine learning is utilized to model and predict pertinent KPIs in order to do this. Interpretability is important, nevertheless, in order to fully comprehend how the model generates its predictions. It enables users to pinpoint which traits have aided the model’s ability to learn and comprehend the data. A practical approach for evaluating the contribution of input attributes to model learning has evolved in the form of SHAP (SHapley Additive exPlanations offer an index for evaluating the influence of each feature on the forecasts made by the model. In this paper, it is demonstrated that the contribution of features to model learning may be precisely estimated when utilizing SHAP values with decision tree-based models, which are frequently used to represent tabular data.
Learning and Game Based Spectrum Allocation Model for Internet of Medical Things (IoMT) Platform

The Internet of Medical Things (IoMT) paradigm provides pervasive healthcare services in-home monitoring networks. Nowadays, these services play an imperative part in the life of human beings. However, excessive requirements of health services result in insufficient spectrum resources and service delays. In this study, a novel spectrum allocation scheme is proposed for the IoMT system platform. The main challenge of our scheme is to effectively share the limited spectrum resource while dynamically handling different service requests. To achieve a mutually desirable solution for multiple IoMT devices, our proposed scheme is designed as a bi-level control algorithm using the ideas of multi-agent reinforcement learning (MARL) and the Balakrishnan-G $\acute {o}$ mez-Vohra (BGV) solution. At the first level, each IoMT device selects its salient point according to the MARL model. At the second level, the spectrum resource is distributed through the BGV solution, which is implemented by considering the selected salient point of each device. Through the sequential interactions of intelligent devices, our bi-level control approach can effectively guide individual IoMT devices to choose cooperation strategies while optimizing the spectrum allocation process. Finally, numerical results show the effectiveness of our proposed scheme through the comparisons with benchmark protocols. We demonstrate the performance improvement of our method in terms of the normalized device payoff, IoMT system throughput and device fairness.