Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence of overweight and obesity among adolescents in Poland

Objectives: The purpose of the study was to evaluate the prevalence of overweight and obesity among Polish adolescents. Material and methods: Participants (13-19 years old, n = 14,044 students) were recruited from 207 schools, randomly selected from a total of 2058 schools. The stratified two-stage sampling method was used. First the schools were selected, and then the students. The study was conducted from 2013 to 2014. The body weight of students aged 13-18 years was assessed using IOTF criteria. For students aged 19 years old, standard WHO body mass index criteria were applied. Results: Excessive body weight was observed among 18.2% of all adolescents aged 13-19 years old, 11.6% were found to be overweight, and 6.6% obese. The prevalence of overweight ranged between 9.3% and 11.5% for girls, and 9.4% and 17.0% for boys. The prevalence of obesity ranged between 3.8% and 7.3% for girls, and 4.8% and 9.2% for boys. The obesity rate was higher among younger individuals for both gender groups, and a decreasing prevalence with age was observed. Conclusions: In Poland overweight was observed in one out of every eight adolescents, and obesity in one out of every 15 adolescents. The weight status was dependent on age and gender of adolescents. The highest prevalence of obesity was noted for the youngest boys (13 years old). Key wOrds: obesity, overweight, body weight, body mass index, adolescents/youth. address fOr cOrrespOndence: Anna Harton, Department of Dietetics, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (WULS-SGGW), 159c Nowoursynowska St., 02-787 Warszawa, Poland, e-mail: anna_harton@sggw.pl DOI: https://doi.org/10.5114/jhi.2019. 9137
Minimal viable sugar yield of biomass pretreatment

The pretreatment of biomass and the subsequent enzymatic hydrolysis to sugars play an important role in the production of biofuels from lignocellulosic biomass. However, the influence of pretreatment and hydrolysis yields on the production pathway performance of biofuels is rarely researched from the beginning. Moreover, a clear trade‐off between economic efficiency and environmental impact exists. Production pathways can be evaluated with reaction network flux analysis (RNFA) ( Voll A and Marquardt W, Reaction network flux analysis: Optimization‐based evaluation of reaction pathways for biorenewables processing. AIChE J 58(6):1788–1801 (2012)). Utilizing RNFA, this study explores the influence of biomass pretreatment, focusing on changes in biomass composition, fractionation efficiency, and sugar yield after hydrolysis on the production performance of biofuels for several pretreatment concepts and several wood sources. The results show that, for ethanol and ethyl levulinate production, specific fuel costs and carbon loss correlate reciprocally with the yields of pretreatment and hydrolysis. For a constant biofuel output, the main cost driver is the feed stream of biomass, which decreases with an improved overall sugar yield after pretreatment. Furthermore, above a threshold value, specific fuel costs increase strongly with carbon loss. As a result, a minimal yield of 40% carbohydrates from wood seems to be the limit of viable production in the processes that were considered. We therefore developed a facile strategy to assess the performance of pretreatment and hydrolysis in biomass processing © 2020 The Authors. Biofuels, Bioproducts, and Biorefining published by Society of Chemical Industry and John Wiley & Sons, Ltd.
Realisasi Multi Robot Simultaneous Localization And Mapping Berbasis Sensor Kamera

Mobile robot adalah suatu robot yang mana bergerak dari suatu titik ke titik lain dengan misi tertentu. Simultaneous Localization and Mapping (SLAM) merupakan suatu teknik yang digunakan oleh mobile robot untuk membangun peta, dengan menggunakan sensor visual diharapkan dapat membantu multi robot dalam memetakan area karena data yang diambil dari sensor visual akurat. Oleh karena itu akan dibuat realisasi dari multi robot dengan skema leader-follower yang memiliki kemampuan untuk mengeksplorasi lingkungan yang belum diketahui sebelumnya dengan proses mapping dan yang terpenting adalah multi robot dapat membantu robot lainnya dalam melakukan eksplorasi lingkungan. Untuk itu, maka digunakan metode ORB SLAM dan mendeteksi target yang mana akan membantu mobile robot dalam melakukan eksplorasi lingkungan yang belum diketahui. Dengan proses eksplorasi ini, multi robot akan bernavigasi secara outonomus dari posisi awal menuju lokasi yang akan dipetakan. Seluruh perancangan dari realisasi multi robot ini akan dirancang menggunakan framework yaitu Robot Operating System (ROS) dengan bantuan tools yang sudah tersedia di dalamnya. Untuk hasil dalam realisasi visual SLAM dengan menggunakan metode ORB SLAM dapat mendeteksi objek secara optimal dengan ukuran objek 31,5x56 cm pada jarak 70 cm dan mendapatkan nilai error 1,21% dan nilai akurasi sebesar 98,79%, lalu untuk realisasi multi robot sistem dengan skema leader dan follower yang telah dibuat ini dapat bekerja di lingkungan yang belum diketahui dan mendapatkan visualisasi map yang berasal dari sensor kamera dan sensor lidar. Kata kunci: Robot Operating System, ORB SLAM, Mobile Robot.
An investigation on the need for business advisors who can respond to the changing needs of small business enterprises faced with a dynamic operating environment.

Abstract The purpose of this paper is to demonstrate the need for Business Advisors (BAs) who are not only capable of responding to small business enterprises’ (SBEs) current constraints but also capable of responding to their evolving needs due to the changing context and their growth. This dynamic environment is characterised by issues such as changing legislation, technology disruption and ethnic diversity. This research is an exploratory study that adopts a multiple case method approach. Data was collected from SBEs and BAs using interviews. Propositions from the study indicate that the new environment has created a greater demand for diverse services that address emerging new needs for SBEs. This includes demand for advisory services in new niche business areas. Trust, integrity, knowledge and advisory experience emerged as a portfolio of principles and skills that SBEs look for in a BA, in order for them to address their evolving needs. Availability of new integrated technology platforms is changing SBEs’ preferences of contact methods and BAs’ own usage of these platforms to engage SBEs. Practical and policy implications include need for regular review of relevant legislation; continuous professional development, establishment of sector specialists and an industry Advisory Council that will monitor practices and provide continuous professional training for BAs.
Black Powder in Sales Gas Pipelines: Sources and Technical Recommendations

One of the most severe problems affecting the efficient operations of gas pipelines is corrosion caused by black powder. According to the literature, the primary source for the existence of black powder is condensed water. In this case study, the temperature (40°C) of the sales gas is much higher than its dew point (9.24°C). The water is therefore in vapor phase. It is then proposed to remove water vapor from the gas at the entrance of the plant using an adsorption process. The recommended technology is the Layered Bed Temperature-Swing Adsorption (LBTSA) with micro-channels with molecular sieve zeolite 4A and activated alumina as adsorbents. In the case of presence of aerosols that could condense water, it is suggested to utilize a RED (Rare Earth Drum) magnetic separator in order to remove black powder from the gaseous feed.
Diagnosis and follow-up of a case of nutcracker syndrome with MR angiography

- Abstract A case of nutcracker syndrome which was initially diagnosed by magnetic resonance angiography (MRA) is reported. On preoperative MRA in an 18-year-old male patient with gross hematuria , left renal vein was oblit erated at the level of superior mesenteric arteη and there was no connection with inferior vena cava. Th e fol low-up MRA after surgical coπection with external prosthesis demonstrated entire course of left renal vein without evidence of obstruction which might suggest a possible usage of MRA for a non-invasive diagnosis of nutcracker syndrome.
Bridging towards Medicare: Evidence from Massachusetts

There is extensive evidence in the health and labor literature that workers in their early 60s have incentive to stay employed so that they retain affordable coverage from employers until eligible for Medicare at age 65. The 2006 reform in Massachusetts, widely regarded as the precursor of the subsequent national reform of ACA, unties insurance affordability from employment, and partly offsets the incentive to “bridge towards Medicare”. Basing identification on insurance discontinuity at age 65, I document large pull-back from labor force among subsidy eligible workers in age 60-64, for whom retirement propensity is higher the closer to Medicare, and social security onset is more likely at age 62. I argue in a social insurance model that welfare gain of premium subsidy is limited by the degree of moral hazard distortion, which in turn is exacerbated by public program crowding out private insurance. Both effects I estimate using simulated subsidy rate as instrument. I find subsidy induces larger reduction in participation among near-retirement workers and longer unemployment duration among entering workers, whereas crowd-out is mostly concentrated at younger ages. Welfare calculation suggests current subsidy rate is higher than the optimal, especially for older workers.
Nudging Drivers to Safety: Evidence from a Field Experiment

Driving is an integral component of many operational systems, and any small improvement in driving quality can have a significant effect on accidents, traffic, pollution, and the economy in general. However, making improvements is challenging given the complexity and multidimensionality of driving as a task. In this paper, we investigate the effectiveness of nudging to improve driving performance. In particular, we leverage a smartphone application launched by our industry partners to send three types of nudges through notifications to drivers, indicating how they performed on the current trip with respect to their personal best, personal average, and latest driving performance. We measure the resulting driving performance using telematics technology (i.e., real-time sensor data from an accelerometer, Global Positioning System (GPS), and gyroscope in a mobile device). Compared with the “no-nudge” control group, we find that personal best and personal average nudges improve driving performance by approximately 18% standard deviations of the performance scores calculated by the application. In addition, these nudges improve interaccident times (by nearly 1.8 years) and driving performance consistency, as measured by the standard deviation of the performance score. Noting that driving abilities and feedback seeking may vary across individuals, we adopt a generalized random forest approach, which shows that high-performing drivers who are not frequent feedback seekers benefit the most from personal best nudges, whereas low-performing drivers who are also frequent feedback seekers benefit the most from the personal average nudges. Finally, we investigate the potential mechanism behind the results by conducting an online experiment in a nondriving context. The experiment shows that the performance improvements are directly driven by the changes in participants’ effort in response to different nudges and that our key findings are robust in alternative (nondriving) settings. Our analysis further shows that nudges are effective when the variability in reference points is low, which explains why the personal best and personal average nudges are effective, whereas the last score nudge is not. This paper was accepted by Vishal Gaur, operations management.
Research Relationships: Collaboration, Reflection, and Sustainability in a Northern Canadian Resource Town

First published advance online January 27, 2020The focus of this article is to share and reflect on our collaborative teaching, research, and community engagement experiences in the context of the Provincial North. We believe the university has a critical role to play in collaborative participatory research. This is particularly crucial when working in remote and northern communities in Canada that have been impacted by colonization and systemic issues such as racism and economic dependency on natural resource exploitation where prices fluctuate due to international demand. We describe our experiences and methods of teaching, learning, and community engagement through which students, faculty, and community members engaged in community based participatory research (CBPR). The focus of this work was on the inclusion of community voices in order to share local knowledge and make decisions about future development. In this article we first describe the geographical and socio-economic context of Northern Manitoba, Canada, and the City of Thompson. We then describe the methods used (appreciative inquiry, community cafe consultations, photovoice, participatory mapping) to include the voices of northern female students, as well as those experiencing homelessness, in order to be included in decisions about future initiatives and programs. We conclude with reflections on our experiences of the processes of using CBPR and on its potential contribution to sustainable development (Hall & Tandon, 2017), the importance of university-community engagement, and the contributions that can also potentially extend to communities across the Provincial North.
Does flexible work ‘work’ in Australia? A survey of employed mothers’ and fathers’ work, family and health

ABSTRACT Workplace flexibility is perceived to benefit parents yet evidence of the effectiveness of formal work arrangements in promoting parents’ health is mixed, and few have evaluated informal flexibility. This study investigates Australian mothers’ and fathers’ use of formal (employer-provided) and informal (self-directed) work arrangements and associations with work-family conflict and health outcomes (psychological distress, occupational fatigue, burnout). Online survey data from a national cross-sectional sample of 4268 employed parents (one or more children ≤18 years) were collected in 2016. Standardised measures of health outcomes were reported. Analyses were stratified by gender given the gendered division of work and care in Australia. Multivariate linear regression analyses showed greater use of flexible work arrangements (e.g. flexitime, flexiplace) was associated with lower fatigue and less burnout for fathers and mothers. Conversely, higher use of flexible leave arrangements (e.g. purchased leave) and informal arrangements (e.g. performing family-related tasks at work) were each associated with poorer health outcomes. Findings contribute novel evidence on the status of workplace flexibility for Australian fathers and mothers. Flexible work arrangements may have some health benefits, yet the widespread use of informal arrangements suggests flexible workplace provisions alone are not meeting parents’ needs for family-related support.
IPDDF: an improved precision dense descriptor based flow estimation

Large displacement optical flow algorithms are generally categorised into descriptor-based matching and pixel-based matching. Descriptor-based approaches are robust to geometric variation, however they have inherent localisation precision limitation due to histogram nature. This work presents a novel method called improved precision dense descriptor flow (IPDDF). The authors introduce an additional pixel-based matching cost within an existing dense Daisy descriptor framework to improve the flow estimation precision. Pixel-based features such as pixel colour and gradient are computed on top of the original descriptor in the authors' matching cost formulation. The pixel-based cost only requires a light-weight pre-computation and can be adapted seamlessly into the matching cost formulation. The framework is built based on the Daisy Filter Flow work. In the framework, Daisy descriptor and a filter-based efficient flow inference technique, as well as a randomised fast patch match search algorithm, are adopted. Given the novel matching cost formulation, the framework enables efficiently solving dense correspondence field estimation in a high-dimensional search space, which includes scale and orientation. Experiments on various challenging image pairs demonstrate the proposed algorithm enhances flow estimation accuracy as well as generate a spatially coherent yet edge-aware flow field result efficiently.
Optimizing endocrine therapy in postmenopausal women with early stage breast cancer: A decision analysis for biological subsets of tumors

529 Background: Choices for adjuvant endocrine therapy in postmenopausal breast cancer patients include sequential treatment with tamoxifen and then aromatase inhibitors, or upfront therapy with an aromatase inhibitor. Available data do not define which strategy would be optimal. Previously we modeled these strategies and found that sequential therapy with tamoxifen followed by crossover to an aromatase inhibitor at 2.5 years yielded superior 10-year disease-free survival (DFS) than treatment with either tamoxifen or aromatase inhibitor treatment, alone (SABCS 2004). Based on emerging data, we sought to analyze whether the optimal treatment strategy would differ for ER+PgR+ and ER+PgR- tumors. Methods: We developed a Markov model to simulate 10-year DFS among a cohort of postmenopausal women with hormone-receptor positive breast cancer. Treatment strategies analyzed were aromatase inhibitor alone, tamoxifen alone, or tamoxifen followed by crossover to an aromatase inhibitor at 2 years. Risk estimates were.
Simulation to Improve the Clinical Nursing Instructor's Teaching of Ethics to Students in the Clinical Setting

Ethical knowledge and skill is crucial to the discipline of nursing and is considered foundational knowledge for nursing practice (American Nurses Association [ANA], 2008). Nurses who assume roles in clinical teaching may be clinically competent but may have limited nursing education experience or knowledge in clinical instruction. The purpose of this project was to improve the educational experience of clinical instructors in the teaching of ethics to students in the clinical setting. This DNP capstone was a quality improvement project with a mixed method design using simulation as a teaching strategy. Eight clinical instructors from a university based baccalaureate nursing program in the Northeast were recruited to participate in an educational workshop designed to improve teaching of ethical decision making. Simulation and debriefing methods were utilized to increase the participant’s awareness of their own knowledge and skill in ethics, and provide an opportunity for reflection on useful teaching strategies in applied ethics during clinical instruction. Following the educational intervention, participants experienced an increase in knowledge and confidence in ethics and teaching ethics to students in the clinical setting. The results of this project provided insight to specific gaps in the clinical instructor’s knowledge of ethics and in teaching ethics in practice, as well as what knowledge was needed to apply ethics in clinical instruction. This project has implications for nursing faculty development and may be replicated by other nursing programs who desire to develop their clinical instructors’ teaching of ethics. A SIMULATION TO IMPROVE 5 Table of
Effect of Long Term Manuring on Carbon Sequestration Potential and Dynamics of Soil Organic Carbon Labile Pool Under Tropical Rice-Rice Agro-ecosystem

ABSTRACT Soil carbon sequestration is a complex process influenced by agricultural practices, climate and soil conditions. Labile organic carbon is sensitive to soil management practices and thus provides better management of carbon dynamics than total carbon alone. Thus, an attempt is made here to investigate the Carbon sequestration potential and labile pool of soil organic carbon (SOC) in post kharif-2014 in flooded tropical rice (Oryza sativa L.) under long-term fertilizer experiment started in the year 2005–06 in the central farm of Odisha University of Agriculture and Technology (OUAT) under All India Coordinated Research Project (AICRP) taking rice as a test crop. The experiment was laid out in a Randomized Block Design with quadruplicated treatments. The treatments include no fertilization, 100% N, 100% NP, 100% NPK, 150% NPK and 100% NPK+FYM. The results revealed that cultivation over the years caused a 14% decrease in SOC in unfertilized control over uncultivated soil. The carbon sequestration potential (1.77 Mg ha−1) was highest in 100%NPK +FYM treatment. The greater accumulation of microbial biomass C, water and extractable carbon (WEO-C), potassium permanganate oxidizable C (KMnO4-C) was recorded in 100%NPK + FYM treatment. The highest carbon management index (CMI) was computed in 100%NPK with FYM. CMI can be used as a more sensitive indicator of the rate of change of SOC in response to soil management changes. Results suggested that 100% NPK+ FYM are adequate for maintaining SOC stock and this practice may help in maintaining the sustainability of rice-rice cropping system.
Signs of radiation-induced accelerated ageing in survivors of childhood brain tumors : the incidence of cerebrovascular disease, neurocognitive impairment, secondary neoplasms, and low bone mineral density after 18 years of follow-up

Background: Childhood brain tumors (CBTs) are the most common solid tumors in childhood. CBT survivors have a high risk of several late-effects, including cerebrovascular disease (CVD), neurocognitive impairment, secondary neoplasms, and low bone mineral density; however, only a few studies have clinically investigated the late-sequelae in young-adult CBT survivors. Aim: To determine the prevalence of CVD, neurocognitive impairment, secondary neoplasms, and bone mineral density in a national cohort of radiotherapy-treated long-term survivors of CBT. Subjects and Methods: Radiotherapy-treated CBT survivors diagnosed between 1970–2008 were selected based on the following inclusion criteria: follow-up ≥5 years since the cessation of therapy and age of ≥16 years at the time of the study. Survivors were clinically and neuropsychologically examined, and investigated by magnetic resonance imaging (MRI), bone mineral densitometry, and laboratory analysis. Results: We included 74 survivors after a mean follow-up time of 18.9 ± 6.1 years. The mean age at follow-up was 28.4 ± 6.8 years and at diagnosis 8.3 ± 4.3 years. At the 20-year follow-up, the cumulative prevalence of CVD, along with smalland largevessel disease was 52%, 38%, and 16%, respectively. Ischemic infarcts or transient ischemic attacks were diagnosed in 11% of the survivors, lacunar infarcts in 10%, and cerebral hemorrhage in 3%. White matter lesions (WMLs) were noted in 49% of the survivors. Higher blood pressure was associated with CVD, large-vessel disease, WMLs, and lacunar infarcts. Survivors had lower cognitive performance in all neuropsychological domains than controls. Mean verbal intelligence quotient was 89 ± 14 and mean performance intelligence quotient 87 ± 19. Executive functions (Z-score -5.0 ± 5.3 SD) and processing speed (Z-score -4.3 ± 5.4 SD) were extensively impaired. Executive functions and processing speed were associated with everyday life skills. Cumulative incidence of secondary meningiomas was 10.2% at the 25-year follow-up using the clinical data, and that of secondary neoplasms was 2.4% using the Finnish Cancer Registry data. We observed low bone mineral density in 23.6% of the survivors, which was associated with fractures in long bones. Conclusions: Young adult CBT survivors experienced late-consequences typically associated with ageing.