Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantitative Assessment of the Cryolipolysis Method for Body Contouring in Asian Patients

Purpose Cryolipolysis has been demonstrated to be a safe and efficient non-invasive treatment modality for reducing subcutaneous discrete areas of fat; however, only limited studies have focused on body contouring in Asian patients. The present work focuses on the quantitative assessment of the cryolipolysis method for body contouring in Asian patients. Patients and Methods The retrospective study evaluated the medical records of 4122 patients with body contouring who underwent cryolipolysis treatment in multiple centers across Japan from January 2019 to June 2019. We evaluated the demographic profiles, treatment areas, and safety assessments among these 4122 patients. The effectiveness of the treatment was assessed in 146 patients at one of the clinics, Shonan Beauty Clinic, out of which 54 and 27 had treatments in the abdomen and upper arm areas, respectively. Clinical outcomes were assessed based on patient surveys, circumference measurements, and assessment of photographs. Results Evaluation of choice for treatment area suggested that men generally focused more on the surrounding areas of the abdomen, while women even had options for the abdomen and the upper arm. No long-term side effects were observed during the study period. There was a significant reduction in the circumference of both the abdomen and upper arm areas (P < 0.05). Additionally, 16.7% and 18.5% of patients who had received treatment on their abdomen and upper arm, respectively, returned for the next sessions within six months. Patients who had received treatment on their upper arms were more satisfied in the categories of pain and bruising and treatment effectiveness compared to those who had received treatment on their abdomen. Conclusion Based on the results obtained in this retrospective study on Asian patients, it can be stated that cryolipolysis is a safe and well-tolerated nonsurgical fat-reduction procedure. Clinical effectiveness can be consistently achieved with proper patient evaluation and patient satisfaction.
A low-power SiGe-HBT active double-balanced mixer for compact integrated C-band wireless-LAN receivers

This paper presents the design, implementation and measurements of a C-band down-conversion active mixer. A Gilbert topology has been modified to provide RF power and noise matching, in order to improve the overall noise behavior. The circuit was fabricated in a 47 GHz BiCMOS process, achieving voltage conversion gain of 24 dB, double-side-band noise figure of 9.5 dB, P/sub 1dB/ and iIP/sub 3/ of -11 dBm and -4 dBm, respectively. Current consumption is 4 mA from a 3 V supply.
Three-Dimensional Calculation and Visualization of Fault Gouge Ratio

Abstract Understanding the sealing characteristics of faults is critical in assessing the hydrocarbon potential of traps formed by faults. Fault gouge ratio and juxtaposition analysis have often been limited to a single cross section (a two-dimensional approach) or to a single, isolated fault surface (a partial three-dimensional approach). We have now developed a full three-dimensional solution for calculating fault gouge ratio. This method uses a continually varying clay volume fraction, a network of faults (isolated, dying and/or branching), and displacement along the fault surface (instead of just the dip component). The structural model used as the framework for this calculation is based on geometric reconstruction techniques that construct faults and horizons in three-dimensional space, allowing easy and rigorous calculation of juxtaposition and displacement. These last two items are necessary input to the fault gouge ratio calculation. The steps in calculating fault gouge ratio in three-dimensional space are as follows: Create structural framework Calculate volume of clay (Vcl) as a continually varying property within this structural framework Determine displacement, allowing for oblique slip Calculate fault gouge ratio for hanging wall and foot wall blocks, and sum to determine the ratio for every point on the fault Rigorous calculation of fault gouge ratio depends on a robust structural model. With the model described herein, a variety of scenarios may be investigated, thus incorporating uncertainty into the calculation. Determining whether a fault will act as a seal, or whether there is potential for development of leaks during the production of the reservoir depends on many variables. Minimizing the uncertainty in this part of the analysis may provide increased confidence in assessing risk.
MICROBIAL QUALITY OF READY TO EAT BARBECUE MEAT (SUYA) SOLD ON THE STREETS OF LAGOS STATE

Ten (10) samples of barbecue meat (Suya) Meat from different location of Lagos State namely: Oshodi, Surulere Mushin, Ebute meta, Island, Ikeja, Ojota, Ketu, Ikorodu and Shomolu were collected randomly and analyzed microbiologically with streak method of i noculation with dilution factor of 10 -3 aliquot inoculum The total viable
Intelligent Transport Systems to Support Police Enforcement of Road Safety Laws

The aim of this project was to identify and define, from first principles, Intelligent Transport Systems (ITS) and telematics technologies which have significant potential to enhance the effectiveness and efficiency of police enforcement activities in Australia. Telematics technologies allow the transmission of information via computers and wireless telecommunications technology, and are used in applications such as vehicle tracking systems, on-line vehicle navigation and information systems, and electronic toll collection. The project was undertaken in three stages: identification of those Victorian Road Rules and Regulations that are safety-critical; identification of the tasks currently undertaken by the Victorian Police in carrying out these safety-critical enforcement activities; and identification of suitable ITS and telematics technologies that either currently exist, or could be brought together, to support and optimise the conduct of police enforcement activities. A number of new and existing ITS and telematics technologies that can be used to support police traffic enforcement were identified. These technologies have the potential to enhance traffic enforcement by providing practical support to police and encouraging drivers to comply with traffic laws. A number of challenges and issues associated with the use of automated enforcement technologies are discussed. (a)
Knockout of the hsd11b2 Gene Extends the Cortisol Stress Response in Both Zebrafish Larvae and Adults

The Hsd11b2 enzyme converts cortisol into its inactive form, cortisone and regulates cortisol levels, in particular in response to stress. Taking advantage of CRISPR/Cas9 technology, we generated a hsd11b2 zebrafish mutant line to evaluate the involvement of this gene in stress response regulation. The absence of a functional Hsd11b2 affects survival of zebrafish, although homozygous hsd11b2−/− mutants can reach adulthood. Reproductive capability of hsd11b2−/− homozygous adult males is almost completely abrogated, while that of females is reduced. Interestingly, basal cortisol levels and glucocorticoid-dependent transcriptional activities are not affected by the mutation. In agreement with basal cortisol results, we also demonstrated that basal response to light (LMR-L/D) or mechanical (VSRA) stimuli is not significantly different in wild-type (hsd11b2+/+) compared to mutant larvae. However, after exposure to an acute stressor, the cortisol temporal patterns of synthesis and release are prolonged in both 5 days post fertilization larvae and one-year-old adult hsd11b2−/− zebrafish compared to wild-type siblings, showing at the same time, at 5 dpf, a higher magnitude in the stress response at 10 min post stress. All in all, this new zebrafish model represents a good tool for studying response to different stressors and to identify mechanisms that are induced by cortisol during stress response.
Room temperature sub-terahertz PIN-photodiode photodetector based on multiple graphene layer absorber

Abstract. Given the importance of the 0.1- to 1-THz range in the security detection and diagnosis of cancer, we propose a structure for graphene-based terahertz (THz) photodetectors. We use the finite-difference time-domain and mathematical methods to calculate the light absorption in the graphene layers (GLs) and the detector’s figure of merits, including responsivity and detectivity. The proposed photodetector is based on single-layer and multilayer graphene absorbers within a p-type-intrinsic-n-type (PIN) photodiode structure. This detector is designed to achieve maximum absorption at the THz frequencies by creating adjustable Fabry–Perot resonances. Results show that it has two distinct and adjustable detection peaks in THz. So we set the operating frequency to 0.35 and 0.83 THz by adjusting the geometric parameters of the device, which also fit the atmospheric windows. Despite the low number of GLs, high absorption is provided at room temperature. It has high responsivity peaks of ∼1220 AW − 1 at the frequency of 0.35 THz and 420 AW − 1 at 0.83 THz, respectively, while we have achieved these characteristics with fewer GLs than other previous detectors.
Critical Success Factors for Value Management Studies in Construction

Value management (VM) studies often face pressure caused by limited time and resources. The identification of key factors for value management success enables appropriate allocation of the limited time and resources in order to achieve better output. Most of the related past work only identified critical success factors for value management studies in general. This paper seeks to distinguish these factors according to their degrees of importance in relation to success. A questionnaire survey was conducted to gather views from experts with experience in value management practice. The findings of the survey reveal the relative importance of the nominated success factors. Two factors that had not been highlighted by previous research are identified as having a significant influence on the success of VM studies. In order to explore the underlying construction among the identified critical success factors (CSFs), factor analysis was adopted to investigate the cluster of the relationship. The results indicate that the success of VM studies requires a combined effort from all parties involved.
A novel algorithm of MGWO-based PI controller for a single-stage grid-connected flyback inverter with ZVS

An effective approach on zero-voltage switching scheme for a single-stage grid-connected flyback inverter along with the introduction of Modified Grey Wolf Optimizer technique based on the proportional integral controller is proposed. A focus on soft-switching is attained by means of permitting the grid-side negative current along the bidirectional switches held in the transformer’s secondary side. Consequently, there is a discharge of metal–oxide–semiconductor field-effect transistor’s output capacitor. This function led the primary switch to turn ON at the condition of zero voltage. Therefore, it is essential to optimize the reactive current level for attaining zero-voltage switching. Generally, the basic Grey Wolf Optimization has some more disadvantages of accuracy-solving and less capability of finding the fitness solutions. Hence, to overcome this, optimizer can be modified for further enhancement in the optimization process. Modified Grey Wolf Optimizer based on the proportional integral controller with pulse width modulation technique is used for controlling the switches; thereby zero-voltage switching triggering takes place which results in decreased total harmonic distortion. Finally, the simulations can be carried out based on the total harmonic distortion which helps to illustrate the effectiveness of the suggested algorithm. A 24-V, 325-W prototype has been carried out to verify the proposed system.
An Improved Neural Network Application for Short-Term Load Forecasting in Power Systems

In this paper an improved neural network application for short-term load forecasting purposes is presented. To speed up the learning process on one side, and not to jeopardize the stability performance of the learning process on the other side, the adaptive approach to the learning-rate parameter has been employed. Also, instead of learning overall load characteristics, the preprocessing of input data has been designed with the idea to learn only load demand behavior that is important for a certain period. The proposed neural network has shown good performance, even in the case of the incomplete data temperature set and at high irregularities in weekly load data.
Validation of the College Planning Behaviors Scale

College preparation is an important topic in the educational attainment of high school students. Much of the research on college planning focuses on the importance and timing of preparing for postsecondary education; however, little research has explored the steps students actually take while preparing for college. The current study utilized the Social Cognitive Career Theory (SCCT) framework to create a validated measure to assess choice behavior. The purpose of the current study was to create a validated measure for choice actions that could be used with diverse student groups. The measure was found to demonstrate good reliability and validity in this population, providing strong internal consistency and construct validity. Further, these findings support college-planning behaviors’ linkage to barriers, college-going self-efficacy, and college outcome expectations (COE).
Suicide attempts among Taiwanese lesbian, gay, bisexual, and transgender adults during the 2018 Taiwan referendum on same‐sex issues

Abstract Purpose To examine suicide attempts and the influencing factors among Taiwanese lesbian, gay, bisexual, and transgender (LGBT) adults during the 2018 Taiwanese referendum on same‐sex issues. Research design and methods The 2018 Taiwanese referendum was held on November 24. A cross‐sectional online survey was conducted between October 2018 and February 2019. A total of 1012 self‐identified LGBT adults were included in the final sample. Results Among the 1012 Taiwanese LGBT adults, the rates of suicide attempts ranged from 9.1% to 24.4%. A younger age, being a student, having low income, having mental health issues, and having a high level of depressive symptoms were associated with a significantly higher risk of suicide attempts in the participants. Conversely, having a postgraduate degree, having high self‐esteem, and perceiving support from friends and family were associated with a lower risk of suicide attempts. Conclusion This is the first study to investigate suicide attempts among LGBT individuals and the influencing factors within the context of a same‐sex marriage referendum in an Asian country. The results of this study demonstrate the importance of suicide prevention measures for the LGBT community, particularly during times of increased social stress and conflict between social groups with diverse sexual and gender identities. Clinical relevance The results of this study suggest that nurses’ and health‐care providers’ sensitivity toward LGBT patients and their knowledge and skills in providing culturally competent care are key factors in suicide prevention for LGBT adults. Therefore, nurses and health‐care providers must be provided with training courses on culturally competent care.
Precision agriculture: soybean culture in South Brazil

The objective of describing the scientific production on precision agriculture for soybean cultivation in southern Brazil. Integrative review developed in five stages: 1) to identify research problems: what is the scientific production on precision agriculture for the soybean economy in Brazil, 2) data collection, 3) data evaluation, 4) analysis and interpretation of data and 5) presentation of results. 19 articles appeared, published in the period from 2011 to 2019. All involve the study of soy, created in Latosol, Cambisolo and Argisolo; study areas ranging from 1.74 to 225 hectares; predominance of no-tillage carried out over ten years; crop rotation in summer and winter. As topics addressed: Physiological quality of soybean seeds; Sowing of soybeans; Chemical and physical attributes of the soil; Spectral indices during soybean growth; Weeds and pest control. There was greater emphasis on technologies: digital maps, machinery, tests, computer systems / programs, software, georeferencing, soil analysis, electronic meters, digital images, equipment and optical sensors. The tools used in precision agriculture are important for professional qualification, increased reduction, environmental impacts, sustainability, optimization of time and products and services, cost reduction.
Particle concentration characteristics and density measurements of slurries using electromagnetic flowmeters

DC type electromagnetic flowmeters generate signals proportional to the flowrates of fluids in closed pipes. These signals are processed suitably for flow measurements. However, further studies indicate that the generated signals carry secondary information on the characteristics of fluids such as densities, particle size distributions of the solids, and the types of materials used which make up the slurry. This secondary information manifests itself by having a distinctly identifiable frequency component and amplitude component. A low-cost spectrum analyzer is an effective method of extracting the frequency components. A peak detector based on comparators and A/D conversion principles was found to be adequate in extracting the amplitude component of the signals. Results obtained from the spectrum analyzer and the peak amplitude detector can then be related, digitally, to the density and other characteristics of slurries. >
Probabilistic Model for Predicting Rail Breaks and Controlling Risk of Derailment

A model is developed to analyze the risk of derailment of railway vehicles by using a probabilistic approach to model the development of rail defects leading to rail breaks and further to derailment. The risk of derailment is measured by the expected number of rail breaks multiplied by the severity of rail break. To evaluate the risk, four submodels are combined to predict the rate of occurrence of rail defects and breaks. These submodels include one to predict the expected number of weld defects, considering the effect of rail repair; a fatigue model of the rails; and a grinding model to take into account removal of defects through maintenance. The fourth submodel concerns the impact of inspections that are imperfect and of nonconstant frequency. The performance and application of the proposed combined model are illustrated by an example that shows the effectiveness of alternative measures in reducing the risk of derailment. It also shows that the proposed model can be used as a tool for quantitatively evaluating the risk of derailment and for decision making on control of the risk.
An ice-motion tracking system at the Alaska SAR facility

An operational system for extracting ice-motion information from synthetic aperture radar (SAR) imagery is being developed as part of the Alaska SAR Facility. This geophysical processing system (GPS) will derive ice-motion information by automated analysis of image sequences acquired by radars on the European ERS-1, Japanese ERS-1, and Canadian RADARSAT remote sensing satellites. The algorithm consists of a novel combination of feature-based and area-based techniques for the tracking of ice floes that undergo translation and rotation between imaging passes. The system performs automatic selection of the image pairs for input to the matching routines using an ice-motion estimator. It is designed to have a daily throughput of ten image pairs. A description is given of the GPS system, including an overview of the ice-motion-tracking algorithm, the system architecture, and the ice-motion products that will be available for distribution to geophysical data users. >
Effects of self-ligating brackets and other factors influencing orthodontic treatment outcomes: A prospective cohort study

Objective The purpose of this study was to evaluate the effects of self-ligating brackets (SBs) and other factors that influence orthodontic treatment outcomes. Methods This two-armed cohort study included consecutively treated patients in a private practice. The patients were asked to choose between SBs and conventional brackets (CBs); if any patient did not have a preference, he or she was randomly allocated to the CB or SB group. All patients were treated using an identical archwire sequence. Evaluated parameters were as follows treatment duration, number of bracket failures, poor oral hygiene, poor elastic wear, extraction, use of orthodontic mini-implants (OMI), OMI failure, American Board of Orthodontics (ABO) Discrepancy Index (DI), arch length discrepancy, and ABO Cast-Radiograph Evaluation (CRE) score. Stepwise regression analysis was performed to generate the equation for prediction of the CRE. Results The final sample comprised 134 patients with an average age of 22.73 years. The average DI, CRE, and treatment duration were 21.81, 14.25, and 28.63 months, respectively. Analysis of covariance showed a significant difference in CRE between the CB and SB groups after adjusting for the effects of confounding variables. Stepwise regression analysis using four variables, namely extraction, SB use, poor elastic wear, and additional appliance use, could explain only 25.2% of the variance in the CRE. Conclusions Although the CRE was significantly better for CBs than for SBs, the clinical significance of this result seems to be limited. Extraction, SB use, poor elastic wear, and additional appliance use may have significant effects on treatment outcomes.
Impact of Inflation Targeting Policy Framework of Countries between the Period of 2009-2019

Today, many countries in the world tend to choose Inflation Targeting Monetary Policy Framework, in which context it has become a matter of debate whether inflation or economic growth is driven by monetary expansions. The common acceptance is that inflation is created by the continuous rise in the money supply which is strongly proved through the economic theories forwarded by Karl Marx, Irvin Fisher and Friedman. The main aim of the study is to examine the relationship between money supply and economic growth under a broad phenomenon by utilizing the countries with inflation targeting policies in action. The time-series data have been collected from different countries that exercise inflation targeting from 2009 to 2019 and the sample included 39 countries from all over the globe, both from developed and developing categories. The utilized Autoregressive Distribution Lag (ARDL) model forwarded the results suggesting that there is a significant negative relationship between the economic growth and money supply in the long run while no relationship has been observed in the short run.