Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALYSIS OF TREATMENT OUTCOMES IN LOCALLY ADVANCED CERVICAL CARCINOMA - AN INSTITUTIONAL STUDY

Introduction:Carcinoma cervix is the second most common cancer among women in India. Carcinoma cervix is associated with many risk factors such as multi parity, early age at marriage, early age at coitus and the most important basic cause is poor socioeconomic status, illiteracy, lack of proper self-hygiene, lack of awareness of screening programs and treatment modalities. The main objective of this study is to analyze various outcomes following treatment of locally advanced carcinoma cervix and also to determine the causes of treatment failure so as to improve disease free survival, progression free survival and overall survival. Materials And Methods: A retrospective study was conducted among 191 locally advanced cervical carcinoma patients treated in the Department of Radiotherapy, Stanley Medical College and Hospital, Chennai during the period between 2015 and 2019. Various parameters of our study included age distribution, chief complaints at presentation, histopathological types and grades, staging, type of treatment, details of brachytherapy, response assessment and follow up. Results: Majority of them belong to stage II(50%) followed by stage III (41%). 14 patients belong to stage IV and only 4 patients belong to stage I. Among them 102 patients (53.4%) showed complete response and 34 patients (17.8%) showed partial response. Discussion: Most of the patients were in 4th and 5th decade which is very close to TNCRPregistry. Stage grouping of patients is considered most signicant in assessing the outcome of the treatment wherein it was found necessary to identify and present the symptoms at early stage to fasten the treatment and aim at complete cure. Conclusion: This study brings a clear picture of the possible reasons for treatment failure in locally advanced cervical carcinoma and highlights necessary steps to be implemented in improving infrastructure facilities in Government hospitals that would result in better treatment for poor patients with maximum benets.
Oncogenic Role of Cancer Stem Cell LGR5 in Colorectal Cancer Progression

Department of Radiologic Technology, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran Department of Molecular Medicine, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran Department of Medical Genetics, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran Department of Tissue Engineering and Regenerative Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran Department of Genetics, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran
Study on the Applications of Internet of Things in the Field of Public Safety

Public safety is an important application field of Internet of Things(IOT),this paper makes the technical requirements of public safety's development and innovation as the starting point,the concept of IOT is introduced,and the structure diagram of public safety IOT is designed.Based on the four key technologies of IOT,including RFID technology,sensor networks technology,intelligent technology and nanotechnology,the applications of the key technologies in the aspects of monitoring,personnel positioning,information gathering,intelligent detection,and fire-protection equipments are analyzed with some concrete cases.Results show that the combination of IOT and public safety possesses important significance.The next work is to study and apply the new public safety devices and system based on IOT technologies.
Ecogeography of group size suggests differences in drivers of sociality among cooperatively breeding fairywrens

Cooperatively breeding species exhibit a range of social behaviours associated with different costs and benefits to group living, often in association with different environmental conditions. For example, recent phylogenetic studies have collectively shown that the evolution and distribution of cooperative breeding behaviour is related to the environment. However, little is known about how environmental variation may drive differences in social systems across populations within species, and how the relationship between environmental conditions and sociality may differ across species. Here, we examine variation in social group size along a steep environmental gradient for two congeneric cooperatively breeding species of fairywrens (Maluridae) and show that they exhibit opposing ecogeographic patterns. Purple-backed fairywrens, a species in which helpers increase group productivity, have larger groups in hot, dry environments and smaller groups in cool, wet environments. By contrast, superb fairywrens, a species with helpers that do not increase group productivity despite the presence of alloparental care, exhibit the opposite trend. We suggest differences in the costs and benefits of sociality contribute to these opposing ecogeographical patterns and demonstrate that comparisons of intraspecific patterns of social variation across species can provide insight into how ecology shapes social systems.
Design of Full Digital Time-lapse Trigger

The traditional monostable time delay circuit has to be connected to an exterior RC, resulting in bad accuracy and instability. Compared to this, the trigger with fully digitalized design has greatly improved the accuracy and stability because it realizes the time delay by comparing clock count with the prearranged value. The range of time delay is related to the frequency of clock and the number of counter digits. The devices speed determines the differentiability. The precision is related to the period of the input clock. Due to digitalized comparison methods, different ranges(μs~10 s) can be realized. This design can be used in higher-demanding experiment.
Tunable dual plasmon-induced transparency and slow-light analysis based on monolayer patterned graphene metamaterial

We propose a novel terahertz metamaterial structure based on patterned monolayer graphene. This structure produces an evident dual plasmon-induced transparency (PIT) phenomenon due to destructive interference between bright and dark modes. Since the Fermi level of graphene can be adjusted by an external bias voltage, the PIT phenomenon can be tuned by adjusting the voltage. Then the coupled-mode theory (CMT) is introduced to explore the internal mechanism of the PIT. After that, we investigate the variation of absorption rate at different graphene carrier mobilities, and it shows that the absorption rate of this structure can reach 50%, which is a guideline for the realization of graphene terahertz absorption devices. In addition, through the study of the slow-light performance for this structure, it is found that its group index is as high as 928, which provides a specific theoretical basis for the study of graphene slow-light devices.
Photoprotective effects of sphingomyelin-containing milk phospholipids in ultraviolet B-irradiated hairless mice by suppressing NF-κB expression.

Ceramide-containing phospholipids improve skin hydration and barrier function and are ideal for use in skin care products. In this study, we evaluated the photoprotective effect of milk phospholipids on the skin condition of UVB-irradiated hairless mice. Skin parameters were assessed following oral administration of milk phospholipids. The UVB irradiation induced photoaging in mice. The animals were divided into 5 groups: a control group (oral administration of saline with no UBV irradiation), UVB group (oral administration of saline with UVB irradiation), and 3 UVB irradiation groups receiving the milk phospholipids at 3 different concentrations of oral administration, 50 mg/kg (ML group), 100 mg/kg (MM group), and 150 mg/kg (MH group), for 8 wk. An increase in skin hydration and transepidermal water loss were improved in the 150 mg/kg of milk phospholipid-administered group. Hematoxylin and eosin staining revealed a decrease in epidermal thickness in the milk phospholipid-administered groups (50, 100, and 150 mg/kg of body weight). In particular, the 100 and 150 mg/kg groups showed significant changes in the area, length, and depth of the wrinkles compared with the UVB group. Moreover, the gene expression of matrix metalloproteins was attenuated, and that of proinflammatory cytokines, especially tumor necrosis factor-α, was significantly reduced in the milk phospholipid-administered groups than in the UVB group. The reduced ceramide and increased sphingosine-1-phosphate levels in the skin tissue due to UVB exposure were restored to levels similar to those of the control group following milk phospholipid administration. These results were confirmed to be due to the downregulation of protein expression of nuclear factor kappa-B (NF-κB) and phosphorylated IκB-α (inhibitor of κB α). Collectively, oral administration of milk phospholipids improves skin health through a synergistic effect on photoprotective activity.
Model design and parameter optimization of CNN for side-channel cryptanalysis

Background The side-channel cryptanalysis method based on convolutional neural network (CNNSCA) can effectively carry out cryptographic attacks. The CNNSCA network models that achieve cryptanalysis mainly include CNNSCA based on the VGG variant (VGG-CNNSCA) and CNNSCA based on the Alexnet variant (Alex-CNNSCA). The learning ability and cryptanalysis performance of these CNNSCA models are not optimal, and the trained model has low accuracy, too long training time, and takes up more computing resources. In order to improve the overall performance of CNNSCA, the paper will improve CNNSCA model design and hyperparameter optimization. Methods The paper first studied the CNN architecture composition in the SCA application scenario, and derives the calculation process of the CNN core algorithm for side-channel leakage of one-dimensional data. Secondly, a new basic model of CNNSCA was designed by comprehensively using the advantages of VGG-CNNSCA model classification and fitting efficiency and Alex-CNNSCA model occupying less computing resources, in order to better reduce the gradient dispersion problem of error back propagation in deep networks, the SE (Squeeze-and-Excitation) module is newly embedded in this basic model, this module is used for the first time in the CNNSCA model, which forms a new idea for the design of the CNNSCA model. Then apply this basic model to a known first-order masked dataset from the side-channel leak public database (ASCAD). In this application scenario, according to the model design rules and actual experimental results, exclude non-essential experimental parameters. Optimize the various hyperparameters of the basic model in the most objective experimental parameter interval to improve its cryptanalysis performance, which results in a hyper-parameter optimization scheme and a final benchmark for the determination of hyper-parameters. Results Finally, a new CNNSCA model optimized architecture for attacking unprotected encryption devices is obtained—CNNSCAnew. Through comparative experiments, CNNSCAnew’s guessing entropy evaluation results converged to 61. From model training to successful recovery of the key, the total time spent was shortened to about 30 min, and we obtained better performance than other CNNSCA models.
Design of wideband receiving antenna for VHF/UHF band passive radar

To broaden bandwidth of the receiving antenna for VHF/UHF band passive radar, a broadband improved biconical antenna loaded with resistor‐inductor‐capacitor (RLC) circuits is designed. Firstly, by introducing six metal rods into the biconical antenna to replace part of the cone, the feature size of the antenna is effectively reduced. Secondly, by introducing six parallel RLC‐loading circuits into the antenna, the bandwidth of the antenna at the low frequency end is effectively broadened, and at the meantime mutual coupling of the array composed of the proposed antenna becomes weak. The measured results show that the impedance bandwidth of the antenna corresponding to reflection coefficient less than −10 dB is 174–843 MHz. Moreover, the antenna also has good omnidirectional pattern in the horizontal plane, and the pattern characteristics have good consistency in the whole impedance bandwidth.
Research of Passive Tracking Arithmetic Based on Spatial Information Measurement

According to the erratic filter behavior of traditional extended Kalman filter(EKF) of bearing only algorithm in passive emitter location,in this paper,we introduced a new tracking algorithm of moving emitter,which added angle velocity measurement information on the basis of bearing measurement.And a new filtering method called Modified covariance EKF(MVEKF) is put forward in this algorithm.This method improves the location and tracking accuracy,reliability and defensive operational capability of the system and solves the problem of passive location better.With the help of computer simulation,the method is proven to be correct and effective.
Which One is the Best Safe Haven During the Special Time, Bitcoin or Gold?

The outbreak of COVID-19 in 2019 has had a huge impact on the global economy while also threatening people's lives and property. In this context, investment means and ideas have also undergone great changes, such as a shift from riskier investments to more prudent ones. Traditional investment means such as gold, emerging investment means such as bitcoin. In this paper, gold and bitcoin are taken as the research objects, and the relevant risks and policy status quo are reviewed and analyzed. The research results show that gold is more suitable for investment in abnormal economic forms, while bitcoin has higher risks. On the one hand, the conclusion of this paper provides countermeasures for national financial development, and on the other hand, provides relevant suggestions for individual investors.
Development of a Robust, Simple, and Affordable Human Gait Analysis System Using Bottom-Up Pose Estimation With a Smartphone Camera

Gait analysis is used in many fields such as Medical Diagnostics, Osteopathic medicine, Comparative and Sports-related biomechanics, etc. The most commonly used system for capturing gait is the advanced video camera-based passive marker system such as VICON. However, such systems are expensive, and reflective markers on subjects can be intrusive and time-consuming. Moreover, the setup of markers for certain rehabilitation patients, such as people with stroke or spinal cord injuries, could be difficult. Recently, some markerless systems were introduced to overcome the challenges of marker-based systems. However, current markerless systems have low accuracy and pose other challenges in gait analysis with people in long clothing, hiding the gait kinematics. The present work attempts to make an affordable, easy-to-use, accurate gait analysis system while addressing all the mentioned issues. The system in this study uses images from a video taken with a smartphone camera (800 × 600 pixels at an average rate of 30 frames per second). The system uses OpenPose, a 2D real-time multi-person keypoint detection technique. The system learns to associate body parts with individuals in the image using Convolutional Neural Networks (CNNs). This bottom-up system achieves high accuracy and real-time performance, regardless of the number of people in the image. The proposed system is called the “OpenPose based Markerless Gait Analysis System” (OMGait). Ankle, knee, and hip flexion/extension angle values were measured using OMGait in 16 healthy volunteers under different lighting and clothing conditions. The measured kinematic values were compared with a standard video camera based normative dataset and data from a markerless MS Kinect system. The mean absolute error value of the joint angles from the proposed system was less than 90 for different lighting conditions and less than 110 for different clothing conditions compared to the normative dataset. The proposed system is adequate in measuring the kinematic values of the ankle, knee, and hip. It also performs better than the markerless systems like MS Kinect that fail to measure the kinematics of ankle, knee, and hip joints under dark and bright light conditions and in subjects with long robe clothing.
Moderating Role of Organizational Culture in the Influence of Computerized Accounting Systems on Financial Reporting Quality in Small and Medium Enterprises

The increased adoption of computerized accounting systems by small and medium enterprises (SMEs) around the world has considerably attracted the attention of researchers to studies and discussions on the subject of computerized accounting systems and their impact on various aspects of the accounting function. Extant studies have indicated the existence of a strong, positive and significant relationship between computerized accounting systems usage and financial reporting quality. Particularly, recent study conducted by Itang (2021a), which investigated the relationship between computerized accounting systems and financial reporting quality among small and medium enterprises in Nigeria, showed that computerized accounting systems usage has a strong and significant influence on the quality of financial reporting information in terms of relevance, faithful representation, comparability, verifiability, and understandability. However, studies have also shown that certain factors, such as organizational culture, could influence the relationship between organizational variables. Therefore, this study sought to extend the findings of Itang (2021a) by examining the moderating effect of organizational culture on the influence of computerized accounting systems on financial reporting quality in small and medium enterprises in Nigeria. Hence, the study introduced organizational culture as a moderating variable into Itang (2021a) study model. Organizational culture was decomposed into three dimensions, namely people orientation, innovation, and outcome orientation. The study employed the same survey research methodology and dataset that were used in Itang (2021a) in conjunction with the research data on organizational culture that were collected concurrently then from a sample of 370 firms selected randomly from SMEs in the South-South region of Nigeria, of which 223 responses were found useful. The research data were analysed using structural equation modelling technique. Five hypotheses relating to the extent to which organizational culture moderates the influence of computerized accounting systems on financial reporting quality in terms of relevance, faithful representation, comparability, verifiability, and understandability, were tested. The results of the study indicate that organizational culture significantly and positively moderates the relationship between computerized accounting systems and financial reporting quality in terms of relevance, faithful representation, comparability, verifiability, and understandability. Therefore, all five null hypotheses were rejected. Consequently, the researcher concluded that organizational culture significantly and positively moderates the relationship between computerized accounting systems and the quality of financial reporting information in SMEs. The researcher has suggested areas for further studies that would help validate and, or, extend the study’s findings.
Experimental Study of Transient Dose Rate Effects of Two Level-Shifting Transceivers and Simulations on Their ESD Circuits

This article investigates the transient dose rate effect (TDRE) of two types of level-shifting transceivers. Experimental results show that both transceivers have a high latch-up threshold. One uncommon phenomenon is found that there are photocurrents generated at the input ports for both transceivers when exposed to transient $\gamma $ radiation. Moreover, the polarity and amplitude of the photocurrents are related to the input voltage level. A hypothesis is proposed that this uncommon phenomenon is caused by the electrostatic discharge (ESD) circuits at the input ports and then it is successfully verified by TCAD simulations. The simulation results show that the vertical parasitic p-n-p transistor in pMOS of the ESD circuit could turn on under transient $\gamma $ radiation, and generate a positive photocurrent when the input port is configured to high-level voltage. On the contrary, when the input port is configured to low-level voltage, its lateral parasitic p-n-p transistor in pMOS could turn on and generate a negative photocurrent. The amplitude of the positive photocurrent is obviously larger than the negative photocurrent due to different gains of the parasitic transistors. Simulation results also show the number of pMOSs in n-well has significant impacts on the amplitude of photocurrents.
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation

Grasping with anthropomorphic robotic hands involves much more hand-object interactions compared to parallel-jaw grippers. Modeling hand-object interactions is essential to the study of multi-finger hand dextrous manipulation. This work presents DVGG, an efficient grasp generation network that takes single-view observation as input and predicts high-quality grasp configurations for unknown objects. In general, our generative model consists of three components: 1) Point cloud completion for the target object based on the partial observation; 2) Diverse sets of grasps generation given the complete point cloud; 3) Iterative grasp pose refinement for physically plausible grasp optimization. To train our model, we build a large-scale grasping dataset that contains about 300 common object models with 1.5 M annotated grasps in simulation. Experiments in simulation show that our model can predict robust grasp poses with a wide variety and high success rate. Real robot platform experiments demonstrate that the model trained on our dataset performs well in the real world. Remarkably, our method achieves a grasp success rate of 70.7% for novel objects in the real robot platform, which is a significant improvement over the baseline methods.