Miracle-dz/UniFAR-FTUs huggingface dataset:
Is Exposure to Titanium Dioxide Nanoparticle Associated with Occupational Lung Cancer among Titanium Dioxide Production Workers? An Emerging Issue

This systemic literature review was conducted to find out if there was an association between exposure to TiO2 NP (Titanium dioxide nanoparticle) and occupational lung cancer among TiO2 production workers. An electronic database search was employed which generated several studies relating to TiO2 nanoparticle toxicity. From these studies only ten (10) articles were chosen for this study because they met the review criteria. Two articles were centered around cohort study design while other 8 studies were on experimental design. The two cohort studies did answer the review question that showed no association of TiO2 toxicity and respiratory diseases while the experimental design studies produced conflicting results. The conflicting results were attributed to their objective, sample size, and the study designs. Despite the different conclusions there is adequate evidence in the experimental studies that demonstrated evidence of TiO2 nanoparticle toxicity. Notable cases include cytotoxicity, genotoxicity, apoptotic and cell necrosis in rat and human cells exposed to TiO2 which is generally dose response related. The strengths and limitations of the 10 studies are also discussed. General understanding gained from these studies is for appropriate agencies to be proactive in developing mitigation and controls measures against nanoparticle exposure. This is necessary to avert repetition of previous experiences with exposure to asbestos fibers as a point of reference.
Everybody wins? A discourse analysis of competing stakeholder expectations in Social Impact Bonds

ABSTRACT This paper explores how diverse stakeholders frame their expectations of Social Impact Bonds (SIBs). Using discourse analysis, the authors examine competing expectations in SIB press releases, showing how they differ between stakeholders, between institutional contexts, and how they evolve over time. The paper highlights how the prioritization of social finance and collaboration discourses privileges the role of private investors, which in turn diminishes the role of service providers as innovators. IMPACT This paper explains the competing rationales of stakeholders from different sectors and jurisdictions engaging in SIBs, and how these rationales shift over time. Policy-makers need to reprioritize the role of service providers in SIB communications as they are often marginalized in the overall public discourse—particularly in the early stages of SIB structuring. The differences the authors found between jurisdictions reveal that institutional contexts shape the nature of SIBs, and that the SIB model should not be transferred in a standardized way to differing contexts.
Bayesian inference of material properties in disordered media using sound characteristics

A simulation study of sound wave propagation is used to characterise material properties. The synthetic model consisting of a one-dimensional chain of particles with different mass distributions is used to generate space-time responses. The standard deviation of this mass distribution is chosen as the disorder parameter ξ, which eventually gives information about the longitudinal wave propagation (P-wave). The space-time responses obtained from the synthetic model are used by a Bayesian inference technique to infer the most probable values of the parameter ξ, which would have caused the responses. While it is found that, during the sampling process, the sampler could effectively choose a region in the neighborhood of the true causative ξ, results show that the estimation in a low disordered setting are acceptable when . A frequency domain analysis is also carried out which shows superior performance in identifying the true region, suggesting that it is a more suitable approach for inference in random media.
Learning through reflection

Reflection is a process of learning through everyday experiences and forms an integral part of undergraduate and post-graduate higher education midwifery programmes. Students are encouraged to use a structured model of reflection to demonstrate their ability to reflect on their experiences during clinical practice. These models of reflection will be discussed, and the use of reflective practice within midwifery higher education will be evaluated. The article will also consider the importance of reflection as part of continued professional development and revalidation, and the role it has to enable midwives to become reflective practitioners and ultimately increase self-awareness, self-identity and personal growth.
Pengembangan Media Pembelajaran Audio berbasis Podcast pada Materi Sejarah Lokal di Sumatera Selatan

Penelitian ini berjudul “ Pengembangan Media Pembelajaran A udio Berbasis Podcast Pada Ma teri Sejarah Lokal Di Sumatera Selatan ” memuat data mengenai sejarah lokal, Sriwijaya. Rumusan masalah penelitian ini adalah bagaimana Model Fisikal M edia pembelajaran berbasis Audio Podcast pada mata kuliah S ejarah I ndonesia K uno dan b agaimana efektifitas M edia pembelajaran berbasis Audio Podcast pada mata kuliah S ejarah I ndonesia K uno . Adapun yang menjadi tujuan dalam penelitian ini adalah mendapatkan prototype Media pembelajaran berbasis Audio Podcast pada mata kuliah S ejarah I ndonesia K uno dan mengetahui efektifitas Media pembelajaran berbasis Audio Podcast pada mata kuliah S ejarah I ndonesia K uno . Penelitian ini merupakan penelitian pengembangan yang menggunakan model penelitian ADDIE. Langkah-langkah pengembangan model ADDIE adalah sebagai berikut (1) Analisis, (2) Desain (3) Development (4) Implementasi (5) Evaluasi. Kevalidan media pembelajaran ini dinilai oleh empat tim ahli, yaitu ahli materi, ahli bahasa, dan ahli media. Kevalidan materi memiliki nilai sebesar 4,78 dengan kategori valid, kevalidan bahasa sebesar 4,38 dengan kategori valid, kevalidan media dengan nilai sebesar 4 dengan kategori valid dan kevlidan desain pembelajaran dengan kategori sangat valid. Penelitian pengembangan ini telah dilakukan dan diterapkan pada mahasiswa Pendidikan Sejarah FKIP Universitas Sriwijaya pada mata kuliah Sejarah Indonesia Kuno 1. Efek potensial penggunaan media Audio berbasis Podcast pada tahap Uji coba lapangan dengan hasil rata-rata pretest yaitu 36,42 dengan kategori sangat rendah dan kemudian rata-rata postest yaitu 82.32 dengan kategori baik. Terjadi peningkatan sebesar 45,9% dan nilai N-gain 0,72 jika 0,72 ≥ 0,7 maka termasuk dalam kategori tinggi. Hal ini menunjukan media Audio berbasis Podcast pada materi Sriwijaya telah berhasil diterapkan dan memiliki nilai kevalidan dan memiliki dampak efektifitas.
Predicting and Visualizing STK11 Mutation in Lung Adenocarcinoma Histopathology Slides Using Deep Learning

Studies have shown that STK11 mutation plays a critical role in affecting the lung adenocarcinoma (LUAD) tumor immune environment. By training an Inception-Resnet-v2 deep convolutional neural network model, we were able to classify STK11-mutated and wild type LUAD tumor histopathology images with a promising accuracy (per slide AUROC=0.795). Dimensional reduction of the activation maps before the output layer of the test set images revealed that less immune cells were accumulated around cancer cells in STK11-mutation cases. Our study demonstrated that deep convolutional network model can automatically identify STK11 mutations based on histopathology slides and confirmed that the immune cell density was the main feature used by the model to distinguish STK11-mutated cases.
Exploring the Effectiveness of a Prevocational Seminar on Self-Efficacy and Work Motivation among Adults Residing in an Inpatient Mental Health Facility

Objective: This study examined a work-related intervention designed to assist people with serious mental illness (SMI) in overcoming employment barriers. Methods: A pre- post-test experimental design was used to investigate the effects of a 10-session, prevocational seminar on self-efficacy and work motivation among adults with SMI residing in an inpatient psychiatric facility. Three one-way ANCOVAs were applied to analyze post-test results for the dependent measures. Findings: Although significant findings were not found regarding the effectiveness of the prevocational seminar on self-efficacy, other interesting discoveries were made. One noteworthy outcome was persons with SMI wanted to work but experienced barriers, including discrimination, decreased motivation, and work disincentives that impeded their return to employment. Conclusions and Implications for Practice: Vocational rehabilitation (VR) counselors continue to face challenges in their efforts to increase employment among persons with SMI. The results from the present study underscore the need for skills training and innovative VR strategies to mitigate barriers to employment among persons with SMI.
Optimization of Power Plant for Telecom Sector Based on Embedded System

Modern Telecom Sector is eventually facing exceptionally tough challenges because of continuous and unexpected increase in power density requirement for the communicating machinery and equipment. To fulfil the power requirements for the equipment, a significant architecture and an optimal technique must be introduced. In this paper, a microcontroller-based optimization use of power-density has been carried out. Meeting above requirements, various equipment and electronic devices are employed. We have designed a microcontroller-based system via PROTEUS Virtual System Modeling to acquire efficient and effective results. The main focus of our work is to supply the power to Telecom equipment in meantime. The power is feeding on batteries and DG (Diesel Generator) set, depending on the condition of the power requirements. The changeover operations are performed by different relays, which are dully programmed via a microcontroller in Keil software. The power capacity of Telecom ((Telecommunication) equipment is ranged from 39-48 Volts DC. The rectification process is done by switch mode rectifiers instead of linear rectifiers. Because the switch-mode rectifier technology has brought fabulous improvements in power density as compared to linear rectifiers. This is done via simulation of the smart switch in PROTEUS software. The outcomes of the proposed system are costeffective in terms of fuel consumption of DG.
Love acts and revolutionary praxis: challenging the neoliberal university through a teaching scholars development program

ABSTRACT There has been significant interest in developing academics through Teaching Scholar Development Programs across the USA, Canada, the UK, and more recently in Australia. At their core, such programs develop academics across teaching scholarship, leadership, promotion, and award opportunities, where universities reap the benefits of developing such a cadre of leaders. This paper pays witness to one such a program in an Australian university to highlight enactments of caring passionately. We use qualitative survey evaluation data, metaphor analysis and reflective practice to nuance the pleasures, passions and challenges of the lived experiences using phenomenological and metaphor lenses to describe our experiences. Metaphors provide powerful insights into the dimensions of experience as they open up how programs are perceived and experienced. Our paper disrupts traditional linear writing through rhizomatic, multivocal and multitextual encounters to challenge dominant authorial voicing. The academic identity work and emotional work required in the program is unfolded through evolving, experiencing and reflecting on the program to inform design and highlight what we have come to (re)value in our academic work when we come together to learn, share, and lead. We forge ways to be and become with and against neoliberal agendas that have choked the soul of ‘the university’ to evolve rich spaces and practices of/for reciprocity and kindness where not only learning can thrive, but where love acts – a much needed revolutionary praxis for our time.
Position Sensorless Drive and Online Parameter Estimation for Surface-Mounted PMSMs Based on Adaptive Full-State Feedback Control

In this article, a position sensorless drive and online parameter estimation method for surface-mounted permanent magnet synchronous machines-based on adaptive full-state feedback current control is proposed. The position sensorless drive is established by the detection of the back-electromotive force in the $\gamma \delta$ synchronous reference frame, which is effective at the medium-speed and high-speed range. Besides, accurate estimation of the winding resistance, the stator inductance, and the flux linkage of the PM is achieved independently. Compared with the traditional recursive-least-square methods, the proposed parameter identification method can be easily implemented because of the significantly reduced execution time. With the help of the parameter identification, the precise position estimation can be achieved by the proposed sensorless control method regardless of the parameter variation during the operation. The stability of the proposed method is proved by the Lyapunov-function method. Finally, the effectiveness of the proposed method is validated by the simulation and experimental results.
Intelligent Traffic Flow Assist: Optimized Highway Driving Using Conditional Behavior Prediction

Many conventional systems for driver assistance on highways determine vehicle motion based on static situation configurations only. Adaptive Cruise Control systems for example react to vehicles cutting-in from neighboring lanes only after these vehicles have entered the ego-lane. Some more recent systems include prediction of future behaviors, but often neglect mutual influences between these and the best behavior for the ego vehicle. This paper introduces ? intelligent Traffic Flow Assist? , an assistance system that analyzes the current traffic situation and predicts candidate future behaviors conditioned on different options for the ego behavior. It computes vehicle trajectories optimized for safety, comfort and utility for each of the possible future situations and selects the best option for vehicle control. We describe the system architecture and implementation on a prototype vehicle with close-toproduction sensors and report on tests performed in different situations on proving ground and public highways.
A survey to assess the value of the legume chimero (Bouffordia dichotoma syn. Desmodium dichotomum) in mixed farming systems in North and South Wollo Zones, Amhara Region, Ethiopia

This study was conducted to determine the yields and chemical composition of the legume, chimero (Bouffordia dichotoma syn. Desmodium dichotomum), at its niche in North and South Wollo Zones, Amhara Region, Ethiopia and how it is used by farmers in the region. Dry matter yields of chimero growing as spontaneous intercrop with sorghum in 3 Peasant Associations in each of the 5 sampled districts were determined as was the chemical composition of the forage, based on pooled samples. The average yield of chimero growing as a self-sown legume with sorghum was 4,400 kg DM/ha. Mean chemical composition was 15.4% ash, 22% CP, 31% NDF, 26% ADF and 5.8% ADL, while IVDMD was 61%. Mineral concentrations were: 0.6% Ca, 0.23% P, 1.5% K, 0.78% Mg, 0.01% Na, 0.27% S, 0.16% Fe, 4.4 mg/kg Cu, 45 mg/kg Mn and 12.3 mg/kg Zn. Chimero appears useful as a supplement for feeding to ruminant animals, provided no anti-nutritional factors are present. A self-sown legume that can produce at least 4 t DM/ha with 22% CP when growing with a sorghum crop seems worthy of further investigation. Further studies are needed to assess the impacts on grain and stover yields when chimero is sown with grain crops of sorghum and maize, as well as effects on soil N. The role of this legume in association with grasses warrants investigation. Multi-site evaluation of a range of ecotypes could identify more productive lines.
Analisis Bentuk Kontur Tepi Kraniofasial Penderita Sindroma Down dengan Metode Analisis Fourier

The purpose of this study is to determine the shape of the craniofacial margin of Down syndrome cephalograms compared with the normal children by using Fourier Analysis method. The subjects of the study are 18 Down syndrome patients matched to 18 non Down syndrome (normal) children aged 14-18 years. The craniofacial margin is divided into four section, those are the margin Bolton-Lambda (Bo-La), Lambda-Bregma (La-Br), Bregma-Nasion (Br-Na), and Menton-Articulare (Me-Ar). The discriminant function calculated on the harmonic amplitude values obtained from Fourier Analysis showed that the two groups can be correctly classified by the margin shape of Bo-La 83.33%, La-Br 63.89%, Br-Na can not be classified, and Me-Ar 80.56%. It is concluded that the difference between Down syndrome and the non Down syndrome (normal) craniofacial margin can be determined by the shape of Bo-La and Me-Ar.
Some explicit formulas for the generalized Frobenius-Euler polynomials of higher order

Our aim is to derive some explicit formulas for the generalized Bernoulli and Euler polynomials in terms of Whitney and translated Whitney numbers of the second kind. Also we derive some explicit formulas for the generalized Euler polynomials and Genocchi-like polynomials in terms of generalized Whitney polynomials of the second kind. We provide an algorithm for computing the generalized Frobenius-Euler polynomials of higher order.
Development of Speed Up Robust Feature Algorithm for aerial image feature extraction

Speed Up Robust Feature Algorithm (SURF) has been a very useful technique in the advancement of image feature algorithm. The strategy offers an extremely decent agreement between the runtime and accuracy, especially at object borders and fine structures. It has a wide scope of applications in remote sensing like getting computerized surface models from UAV and satellite images. In this paper, SURF algorithm has been discussed in details to enhance the capability of the system for image feature extraction technique to detect and obtain the maximum feature points from aerial imagery. The algorithms are developed depending upon such phenomena in which a maximum result can be obtained in very less time.
Reduction of Drain Induced Barrier Lowering in DM-HD-NA GAAFET for RF Applications

In this research work, a dual-metal hetero-dielectric with nitride gate all around field effect transistor (DM-HD-NA GAAFET) has been proposed to address and mitigate an essential issue of drain induced barrier lowering and tunnelling leakage current. This device also provides better transconductance, output conductance, early voltage, and transforming growth factor so that it can also be used for radio-frequency (RF) applications. In this structure, silicon dioxide (SiO 2 ) is used at the source side while the silicon nitride (Si 3 N 4 ) is used at drain side to reduce tunnelling of charge. In DM-HD-NA GAAFET, gate material engineering (GME) technique is also being used in which higher work function metal is used at source side in order to accelerate charge carriers while lower work function metal is used at drain side so that it can increase ON-state current ( I ON ). The obtained results are compared with dual-metal hetero-dielectric with vacuum gate all around field effect transistor (DM-HD-VA GAAFET) to analyse its performance. In the proposed device structure, I ON increased by GME approach while I OFF decreased by hetero-dielectric method so it improves I ON / I OFF ratio for DM-HD-NA GAAFET compared to DM-HD-VA GAAFET device.
Clean delivery practices during home deliveries in rural South Asia: effects on maternal and neonatal mortality and interventions aimed at improved use

Background: Globally, puerperal and neonatal sepsis account for an estimated 8-12% and 23% of maternal and neonatal deaths respectively. Clean delivery practices are known to help prevent sepsis, but evidence is lacking on the extent to which they can improve survival following home deliveries in rural communities in low-resource countries. Evidence is also lacking on effective methods to increase the use of different clean delivery practices in these settings. To address these issues, I sought to: (1) determine the associations between clean delivery practices and neonatal and maternal mortality for home deliveries in rural South Asia; (2) review the literature on effective means to promote the use of clean delivery practices; and (3) to determine the effectiveness of community mobilisation through women’s groups in promoting the use of clean delivery practices during home deliveries in rural South Asia. / Methods: I used data from four cluster-randomised controlled trials conducted in rural India, Bangladesh and Nepal. Each of these trials had the primary objective of evaluating the effect of a community mobilisation intervention through participatory women’s groups on neonatal survival. Using pooled datasets from the control arms of these trials, I tested associations between clean delivery practices and neonatal and maternal survival. I also investigated the robustness of the estimates through sensitivity analyses. To assess the effectiveness of community mobilisation in improving the uptake of clean delivery practices, I conducted a meta-analysis using individual patient data from the control and intervention arms of the four previously mentioned trials. / Results: The use of all clean delivery practices, except wearing gloves, was associated with a reduction in neonatal mortality. Hand washing was the only clean delivery practice associated with a reduction in maternal mortality. Sensitivity analyses raised some doubt as to the extent to which clean delivery practices improved neonatal and maternal survival. Analyses of the effect of community mobilisation through women’s groups on the use of clean delivery practices suggested that this was an effective approach to improve their use, especially in the most disadvantaged populations. / Conclusions: The use of clean delivery practices for home births has the potential of saving thousands of unnecessary deaths due to unhygienic conditions during delivery. Given that a substantial proportion of all deliveries in low and middle-income settings are still likely to occur at home, the use of clean delivery practices should be promoted through community interventions in a context appropriate manner. Community mobilisation through women’s groups may be an effective means of promoting the use of such practices, especially among the most vulnerable mothers.
Buy-and-Hold and Constant-Mix May Be Better Allocation Strategies Than You Think

Given mean-reverting equity and interest rate uncertainty, this article shows a relatively low economic cost of using a simple allocation strategy, buy-and-hold or constant-mix, instead of optimal reallocation. Moreover, given the decision to use one of the simple allocation strategies, the article identifies (1) which investors will be better off with buy-and-hold than with constant-mix, and vice versa, and (2) which investors will be better off with a horizon-maturity fixed-income position than with a sequence of short-maturity ones, and vice versa. The article uses illustrations in a three-period binomial model to bridge the academic/practitioner gap and provide useful insights to those interested in applied investment management. TOPICS: Portfolio management/multi-asset allocation, portfolio theory, portfolio construction Key Findings • Given mean-reverting equity and uncertain interest rates, investors sacrifice little in expected utility by replacing the optimal reallocation strategy with a simpler allocation strategy of either buy-and-hold or constant-mix. • Traditional investors, with positive allocations to both equity and fixed income, are better off with constant-mix than with buy-and-hold and with allocating to a horizon-maturity fixed-income instrument rather than a sequence of single-period fixed-income instruments. • More risk-tolerant investors with levered equity positions are better off with buy-and-hold than with constant-mix and with levering by a sequence of single-period fixed-income instruments instead of a horizon-maturity fixed-income instrument.