Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-world evaluation of safety and effectiveness of dydrogesterone in the management of threatened abortion

Background: Threatened abortion is a relatively common complication during pregnancy. Inadequate production of endogenous progesterone is implicated as a risk factor for miscarriages. Thus, supplementation of external progesterone can be used as a preventive strategy in these women. Dydrogesterone a stereoisomer of progesterone has a good safety and tolerability profile and is known to effectively prevent pregnancy loss in women with threatened miscarriage, however, real-world data safety and effectiveness analysis of dydrogesterone in Indian patients was lacking. Therefore, this real-world retrospective analysis of the case reports was done to evaluate the safety, effectiveness, compliance, and tolerability of oral dydrogesterone in the treatment of women with threatened abortion.Methods: Data was collected from 194 obstetricians and gynaecologists in India, on the use of oral dydrogesterone in women presenting with threatened abortion in the first trimester of pregnancy.Results: Completed case report forms of patients who met the eligibility criteria (n = 617) were considered for the analysis. The main presenting symptom was vaginal bleeding/spotting with an additional symptom of abdominal cramp/pelvic pain/low back pain in 364 (69.07%) patients. Miscarriage was reported in 45 (7.29%) patients and 23 (3.98%) patients needed surgical intervention before 20 weeks of gestation with dydrogesterone treatment. The median time for relief of symptoms from the start of dydrogesterone tablets was 3.32 days for low back pain, 3.9 days for abdominal pain, and 4.37 days for the establishment of hemostasis. Treatment with dydrogesterone was found to be well-tolerated and adverse events were reported in 3.72% of the patients.Conclusions: This retrospective analysis suggests that dydrogesterone is safe and effective in reducing the incidence of pregnancy loss in women with threatened abortion.
Agronegócio de países selecionados: análise de sustentabilidade entre o PIB e emissões de CO2

Resumo O objetivo do estudo foi mensurar e comparar a cadeia produtiva do agronegócio em 64 países e o restante do mundo considerando as variáveis renda (Produto Interno Bruto - PIB) e emissões de dióxido de carbono por queima de combustíveis fósseis entre os anos de 2005 e 2015 com metodologia baseada na matriz de insumo-produto. O PIB do agronegócio no ano de 2005 era de cerca de 6 trilhões de dólares em valores correntes e participava com 13,6% do PIB mundial e passou para 11 trilhões de dólares em 2015 (15,3%). O agronegócio gerou aproximadamente dois bilhões de toneladas de dióxido de carbono no ano de 2005, com participação de 8,5% nas emissões totais, e as emissões aumentaram cerca de 166 milhões de toneladas entre 2005 e 2015, porém a participação no total diminuiu para 7,6%. Os maiores emissores globais (setor produtivo e agronegócio) no ano de 2015 foram China, Estados Unidos, Índia e Rússia, respectivamente. Os resultados do indicador de sustentabilidade emissões por unidade de renda mostraram que na maior parte dos países o agronegócio se mostrou capaz de aumentar a produção com menor valor de emissões por unidade de renda em relação à média da economia.
A power management circuit with 50% efficiency and large load capacity for triboelectric nanogenerator

Recently, triboelectric nanogenerators (TENGs), as a collection technology with characteristics of high reliability, high energy density and low cost, has attracted more and more attention. However, the energy coming from TENGs needs to be stored in a storage unit effectively due to its unstable ac output. The traditional energy storage circuit has an extremely low energy storage efficiency for TENGs because of their high internal impedance. This paper presents a new power management circuit used to optimize the energy using efficiency of TENGs, and realize large load capacity. The power management circuit mainly includes rectification storage circuit and DC–DC management circuit. A rotating TENG with maximal energy output of 106 mW at 170 rpm based on PCB is used for the experimental verification. Experimental results show that the power energy transforming to the storage capacitor reach up to 53 mW and the energy using efficiency is calculated as 50%. When different loading resistances range from 0.82 to 34.5 k Ω are connected to the storage capacitor in parallel, the power energy stored in the storage capacitor is all about 52.5 mW. Getting through the circuit, the power energy coming from the TENGs can be used to drive numerous conventional electronics, such as wearable watches.
Cervical Cancer Screening among Female Refugees in Jordan: A Cross-Sectional Study

Background: Cervical cancer (CC) is mainly linked to infection with a high-risk oncogenic human papillomavirus (HPV), with 85% of deaths occurring in developing countries. Refugees are less likely to be aware of screening methods and to have routine gynecological examinations. Methods: This is a cross-sectional study involving a total of 359 women aged 19–64 living in the Jerash camp in Jordan. Data were collected using a carefully developed and validated questionnaire. Results: A total of 359 participants were included in the study, with a mean age of 38.99 ± 10.53. Participants demonstrated fair knowledge of CC risk factors (4.77 ± 2.85 out of 11). Among the participants, 73.5% had heard of the cervical smear test; however, only 12.8% had actually undergone the test, with a mean total number of smear tests performed of 1.48 ± 0.79 and the mean age at the time of the first test was 32.5 ± 7.89. Conclusions: Refugee women have a fair level of knowledge of CC risk factors but are unmotivated to have a Pap smear test to screen for CC. Efforts should be made to raise awareness about the issue and promote testing for underrepresented women in refugee camps.
RELIABILITY AND PROFIT ANALYSIS OF A METAL TREATMENT STATION (MTS) SYSTEM WITH EFFECT OF WAITING TIME FOR STANDBY MTS

This paper presents a Reliability model for Metal Treatment Station (MTS) system in piston foundry with facility of repair. The MTS system is used for predicting the best treatment practice based on ambient conditions melt temperature, rotor design and alloy composition. In the first model, Six Multi Level Die Block (MLDB) systems are divided into two systems containing three MLDB each and they are termed as : system one and system two. Both the systems have their own repairman. System one contains the three MLDB with one main unit i.e. Robotic A and system two also contains the three MLDB with one main unit i.e. Robotic B. Initially, two MTS appliances are operative and the third MTS is in cold standby state. For the functioning of the whole system, two MTS appliances should operate. The cold standby MTS is common for both systems. On the failure of one of the MTS, the standby MTS becomes operative and if in meanwhile, second MTS gets fail then it will wait for standby MTS system. The semi-Markov process and regenerative point technique have been used to derive the expressions for various measures of reliability. A particular case is considered to highlight the results graphically.
Digital Harmonic Canceling Algorithm for Power Amplifiers Based on Nonlinear Adaptive Filter

High power amplifier not only causes in-band intermodulation but also causes out-of-band harmonic distortion. For a wideband transmitter, harmonic distortion out of communication frequency can be restrained by a radio-frequency filter, but harmonic distortion in the communication frequency is difficult restrain. In this paper, we develop harmonic memory polynomial to model harmonic distortion and then propose a digital harmonic canceling algorithm based on direct learning structure — nonlinear filtered-x affine projection algorithm (NFX-APA). Simulation and measurement results demonstrate that this novel digital canceling method can cancel harmonic effectively.
A Two-Stage Cumulative Quantity Control Chart for Monitoring Poisson Processes

This paper is concerned with the cumulative quantity control chart (CQC chart) defined based on the gamma random variable that is the quantity of product inspected in order to observe r (≥ 1) nonconformities. A CQC chart with a small value of r has a smaller average run length (ARL), but has lower discriminating power for detecting shifts in the nonconforming rate λ than a CQC chart with a large r. In the present paper, inspired by the concepts of double sampling procedures in acceptance sampling as well as reduced inspection in MIL-STD-105E and the procedures for CSP plans in MIL-STD-1235C, a two-stage CQC chart is proposed aiming at gaining both the advantages of the 1-stage CQC charts with r = 1 and r = 2. The authors apply a rigorous analytic approach to perform sensitivity analysis to compare the discriminating power of CQC charts in detecting change in λ, rather than using the less rigorous approach of numerical verification based on an ac hoc choice of values of parameters. The authors also obtain and compare the analytic expressions for the ARLs of these CQC charts. Economic analysis of the CQC charts is performed. Numerical examples will be given to compare the performance of these control charts in terms of discriminating power (in detecting shift of λ), ARL, and average total cost, and to show that each of these charts could be the best choice in each specific situation. It is also shown that, when the penalty cost due to nonconformities is relatively low, it is optimal not to apply statistical process control at all.
The Effect of Statin on Anemia in Patients with Chronic Kidney Disease and End-Stage Kidney Disease: A Systematic Review and Meta-Analysis

Although erythropoietin-stimulating agents are effective in treating anemia in patients with end-stage kidney disease (ESKD) undergoing hemodialysis, some ESKD patients, especially those with inflammation, continue to suffer from anemia. Statin, an inhibitor of hydroxymethylglutaryl-CoA (HMG-CoA) reductase with lipid-lowering effects, may have a pleiotropic effect in reducing inflammation, and thus increase hemoglobin (Hb) level. We searched the PubMed, Embase, and Cochrane databases for relevant studies. The population of interest comprised advanced chronic kidney disease (CKD) patients and ESKD patients receiving hemodialysis with statin treatment. The included study designs were randomized control trial/cohort study/pre-post observational study, and outcomes of interest were Hb, erythropoietin resistance index (ERI) and ferritin. PRISMA 2020 guidelines were followed, and risk of bias (RoB) was assessed using the RoB 2.0 tool in randomized controlled trials, and the Newcastle-Ottawa scale (NOS) in cohort studies. We eventually included ten studies (5258 participants), comprising three randomized controlled trials and seven cohort studies. Overall, Hb increased by 0.84 g/dL (95% confidence interval [CI]: −0.02 to 1.70) in all groups using statins, including single-arm cohorts, and by 0.72 g/dL (95% CI: −0.02 to 1.46) in studies with placebo control. Hb levels were higher in the study group than in the control group, with a mean difference of 0.18 g/dL (95% CI: 0.04–0.32) at baseline and 1.0 g/dL (95% CI: 0.13–1.87) at the endpoint. Ferritin increased by 9.97 ng/mL (95% CI: −5.36 to 25.29) in the study group and decreased by 34.01 ng/mL (95% CI: −148.16 to 80.14) in the control group; ferritin fluctuation was higher in the control group. In conclusion, statin may improve renal anemia in ESKD patients receiving hemodialysis and regular erythropoietin-stimulating agents. Future studies with more rigorous methodology and larger sample size study should be performed to confirm this beneficial effect.
An Air-Coupled Electrostatic Ultrasound Transducer Using a MEMS Microphone Architecture

We demonstrate the transmission of ultrasound in air using a device that resembles a MEMS microphone in its construction. The device has a 1 mm diameter diaphragm and uses a perforated backplate for electrostatic actuation. The device is driven with large amplitude AC signals, with peak values that exceed the pull-in voltage of the diaphragm. In doing so, relatively large diaphragm displacements are achieved, as the diaphragm oscillations traverse the complete diaphragm-backplate gap. Large amplitude diaphragm vibration is advantageous for high SPL applications in air, as sound pressure is directly proportional to diaphragm displacement for a given operating frequency. Transient diaphragm displacement waveforms are measured in response to tone-burst waveforms ranging in frequency from 4 kHz to 97 kHz. Resultant acoustic pressure waveforms in air are made using a broadband microphone. [2022-0082]
Detection and Classification of Lung Cancer Cells Using Swin Transformer

Lung cancer is one of the greatest threats to human health. It is a very effective way to detect lung cancer by pathological pictures of lung cancer cells. Therefore, improving the accuracy and stability of diagnosis is very impor-tant. In this study, we develop an automatic detection scheme for lung cancer cells based on convolutional neural networks and Swin Transformer. Microscopic images of patients’ lung cells are first segmented using a Mask R-CNN-based network, resulting in a separate image for each cell. Part of the background information is preserved by Gaussian blurring of surrounding cells, while the target cells are highlighted. The classification model based on Swin Transformer not only reduces the computation but also achieves better results than the classical CNN model, ResNet50. The final results show that the accuracy of the method proposed in this paper reaches 96.16%. Therefore, this method is helpful for the detection and classification of lung cancer cells.
Three‐stage GaN‐on‐SiC medium‐power LNA exploiting a current‐reuse architecture

A recently presented implementation of the current‐reuse concept, specifically devised for microwave cascaded single‐ended amplifiers, is applied to the design of a three‐stage medium‐power low‐noise amplifier (LNA) operating in X‐band. The LNA is realized on a GaN‐on‐SiC 0.25 µm technology supplied by Leonardo S.p.A. 's internal foundry and achieves a transducer gain (GT) of 24 dB, a noise figure (NF) better than 2.5 dB and an output power at 1 dB gain compression (Pout,1dB) higher than 20 dBm over the whole X‐band. The first two stages of the LNA are stacked and share the same current while requiring, as a pair, a doubled external supply voltage, which corresponds to that of the third, medium‐power stage. The versatility of the adopted current‐reuse concept is exemplified by the fact that the two low‐noise stages are initially designed in a conventional single‐ended topology: only in a second step are they converted into a current‐sharing stage pair with no significant effect on RF performance. Nonconventional approaches to low‐noise design and small‐signal stability analysis developed by the Authors and adopted in this design are referred to the Reader.
Optical Multisensor System Based on Lanthanide(III) Complexes as Near-Infrared Light Sources for Analysis of Milk

Optical multisensor systems are easy-to-use and inexpensive analytical devices. In this work, we propose an optical multisensor system based on the luminescence of Nd(III) and Yb(III) complexes in the near-infrared (NIR) spectral region. The observed emission bands play the role of secondary light sources for further analysis of milk—for the determination of fat content and for the recognition of adulteration. The samples for analysis were prepared by putting a drop of milk upon a thin glass covering the powdered mixture of lanthanide complexes, which were excited by a light-emitting diode (LED) in the ultraviolet region (the maximum intensity at 365 nm). The diffuse-reflectance spectra of samples were acquired in the short-wave NIR range 750–1100 nm using a portable NIR spectrometer. The developed optical system was tested using two sets of milk samples with varying concentration levels of fat and added urea. The obtained spectral data were analyzed using a number of multivariate prediction and classification methods of chemometrics and the results were statistically compared. The regression and classification model performances achieved in this proof-of-concept study illustrate the feasibility of the optical multisensor analysis based on luminescent light sources in the short-wave NIR range, in particular, for their application in the dairy.
Leveraging Vehicular Communications in Automatic VRUs Accidents Detection

As technology advances on the field of Vehicular Ad hoc Networks (VANETs), there is a growing concern within the research community regarding the safety of the the Vulnerable Road Users (VRUs). These entities play an important role in traffic, but their typical agility and difficult to predict behavior pose challenges in the development of automatic systems that aim to protect them. The application of Machine Learning (ML) techniques on top of the communication data that can be collected from the road environment has the potential to predict VRUs movement, detect/locate them, or even compute probabilities of collisions. This paper proposes an automated and real-time VRU accident detection system (focused on motorcycles) by using neuronal networks with communication data that is generated by means of simulation, using the VEINS framework (coupling SUMO and ns-3). Results show that the proposed system is able to automatically detect any accidents between passenger vehicles and motorcycles at an intersection within 1 second, with an average of 0.61 second, after its occurrence.
DETERMINANT FACTORS OF EXCLUSIVE BREAST MILK IN PANGGUNGHARJO VILLAGE

The low level of breastfeeding is a threat to the growth and development of children which will affect the growth and development of the quality of human resources in general. This study aims to determine the relationship between knowledge, attitude, self-confidence and husband's support with exclusive breastfeeding in the Panggungharjo Village area. This research design is correlational with cross sectional approach method. The population in this study were 34 mothers who had babies aged 6-24 months in Panggungharjo Village, Bantul Regency, Yogyakarta Special Region Province. The samples taken in this study were mothers who lived in the Panggungharjo Village area who had babies aged 6 -24 months. Data were analyzed by chi-square analysis. The results showed that knowledge (p-value 0.000 (<0.05)), attitude (p-value 0, 039 (<0.05)), self-confidence (p-value 0.030 (<0.05)) and husband's support (p-value 0.005 (<0.05)) are variables related to exclusive breastfeeding in Panggungharjo Village. Conclusion: Knowledge, attitude, self-confidence and support from husbands of breastfeeding mothers are the determinants of exclusive breastfeeding in Panggungharjo Village.
Sense of Coherence and Work Stress or Well-Being in Care Professionals: A Systematic Review

Job-related stress affects the physical and psychological health of professionals dedicated to care. This work is a systematic review that aims to determine the relationships between a sense of coherence (SOC) and work stress and well-being perceived by care professionals. The review was carried out following the PRISMA guidelines, and the search was carried out using the Web of Science (WoS), PubMed, and Scopus databases, obtaining a final selection of 41 articles. The results indicate that stress, depression, burnout, and posttraumatic stress disorder (PTSD) negatively correlate with SOC; in contrast, job satisfaction, well-being, and quality of life positively correlate with SOC. It is concluded that SOC could act as a mediating variable and as a predictor variable of these health problems.
Living With The Lab: A Curriculum To Prepare Freshman Students To Meet The Attributes Of "The Engineer Of 2020"

Living With The Lab: A Curriculum To Prepare Freshman Students To Meet The Attributes Of "The Engineer Of 2020" Download Paper | Permalink Conference 2008 Annual Conference & Exposition Location Pittsburgh, Pennsylvania Publication Date June 22, 2008 Start Date June 22, 2008 End Date June 25, 2008 ISSN 2153-5965 Conference Session FPD4 Teaching Methods for First Year Students Tagged Division First-Year Programs Page Count 19 Page Numbers 13.855. 1 13.855. 19 Permanent URL https://peer.asee. org/4258 Download Count 45
IMPLEMENTASI RESILIENSI DENGAN WORK ENGAGEMENT PADA KARYAWAN PT. SUPRA MATRA ABADI

Tujuan daripada dilakukannya penelitian ini adalah untuk menguji dan membuktikan hubungan antara resiliensi terhadap work engagement. Sampel penelitian terdiri dari 112 karyawan PT. Supra Matra Abadi melalui teknik total sampling. Data penelitian dikumpul menggunakan skala resiliensi yang terdiri dari 23 item dan skala work engagement yang terdiri dari 32 aitem. Data dianalisis dengan menggunakan metode korelasi Pearson Product Moment. Hasil penelitian menunjukkan bahwa resiliensi berpengaruh positif dan signifikan terhadap work engagement dengan koefisien korelasi sebesar 0.667 dan nilai signifikansi sebesar 0.000 (p < 0.05) yang berarti semakin tinggi resiliensi maka akan semakin tinggi work engagement dan berlaku pula sebaliknya
Dynamic Physical Activity Recommendation Delivered through a Mobile Fitness App: A Deep Learning Approach

Regular physical activity has a positive impact on our physical and mental health. Adhering to a fixed physical activity regimen is essential for good health and mental wellbeing. Today, fitness trackers and smartphone applications are used to promote physical activity. These applications use step counts recorded by accelerometers to estimate physical activity. In this research, we performed a two-level clustering on a dataset based on individuals’ physical and physiological features, as well as past daily activity patterns. The proposed model exploits the user data with partial or complete features. To include the user with partial features, we trained the proposed model with the data of users who possess exclusive features. Additionally, we classified the users into several clusters to produce more accurate results for the users. This enables the proposed system to provide data-driven and personalized activity planning recommendations every day. A personalized physical activity plan is generated on the basis of hourly patterns for users according to their adherence and past recommended activity plans. Customization of activity plans can be achieved according to the user’s historical activity habits and current activity objective, as well as the likelihood of sticking to the plan. The proposed physical activity recommendation system was evaluated in real time, and the results demonstrated the improved performance over existing baselines.