Miracle-dz/UniFAR-FTUs huggingface dataset:
Exercise Volume and Energy Expenditure Are Positively Associated With Fracture Risk In Physically-Active, Middle-Aged Men

Background: Weight-bearing exercise during growth is a key determinant of bone strength and, thus, of fracture risk. However, the effects of exercise during adulthood on fracture risk in middle-aged men are unknown. Objective: To investigate the relationship between recent fractures, i.e., those occurring within the past five years, and current exercise volume (hours per week; HR), energy expenditure (1000s of kilocalories per week; KCAL), and bone loading (ground reaction force-based scores), adolescent bone loading, and current bone mineral density (BMD) in apparently healthy middleaged men. Methods: Physically active men (n=201) between the ages of 25 and 63 y participated in this cross-sectional study. Fracture history was assessed using a medical history questionnaire. Participants reported physical activity across the lifespan, including current exercise, using the Historical Leisure Activity Questionnaire (Kriska, Sandler, Cauley, LaPorte, Hom & Pambianco, 1988). Current exercise-associated energy expenditure was estimated from the reported exercise type, frequency, duration, intensity, and body weight (Ainsworth, Haskell, Herrmann, Meckes, Bassett, Tudor-Locke, Greer, Vezina, Whitt-Glover & Leon, 2011). Bone loading scores for exercise during adolescence and current exercise were calculated based on ground reaction forces associated with each activity (Groothausen, 1997). Body composition and BMD of the whole body, hip and lumbar spine were assessed using dual-energy X-ray absorptiometry. Logistic regression was performed to examine potential relationships between recent fracture and adolescent bone loading, current BMD, and current purposeful exercise volume (hours, HR), energy expenditure (KCAL) and bone loading. Results: Current purposeful exercise volume (HR, odds ratio=1.066, p=0.037) and energy expenditure (KCAL, odds ratio=1.096, p=0.033) were positively associated with recent fracture. Conclusion: Exercise volume and energy expenditure were associated with a small, but significant increase in recent fracture risk, while current bone loading and BMD were not associated with recent fracture in healthy, middle-aged men.
DDoS Attack Detection via Multi-scale Convolutional Neural Network

: Distributed Denial-of-Service (DDoS) has caused great damage to the network in the big data environment. Existing methods are characterized by low computational efficiency, high false alarm rate and high false alarm rate. In this paper, we propose a DDoS attack detection method based on network flow grayscale matrix feature via multi-scale convolutional neural network (CNN). According to the different characteristics of the attack flow and the normal flow in the IP protocol, the seven-tuple is defined to describe the network flow characteristics and converted into a grayscale feature by binary. Based on the network flow grayscale matrix feature (GMF), the convolution kernel of different spatial scales is used to improve the accuracy of feature segmentation, global features and local features of the network flow are extracted. A DDoS attack classifier based on multi-scale convolution neural network is constructed. Experiments show that compared with correlation methods, this method can improve the robustness of the classifier, reduce the false alarm rate and the missing alarm rate.
Posterior wall acetabular fracture fixation: A mechanical analysis of fixation methods

Stable, anatomical fixation of acetabular fractures gives the best chance of successful outcome, while penetration of the acetabular articular surface with screws is associated with poor outcomes. Spring plates are an alternative to interfragmentary lag screws when penetration is a concern. A mechanical study comparing fracture stability and construct stiffness of three fixation methods for posterior wall acetabular fractures with transverse comminutions was performed. The three fixation methods tested were a posterior wall rim plate, a posterior wall buttress plate with separate lag screws and a posterior wall plate with two spring plates. Nine samples were tested, three for each fixation method. Two-dimensional motion analysis was used to measure fracture fragment displacement and construct stiffness. After two 6000 cycle-loading protocols, to a maximum 1.5 kN, the mean fracture displacement was 0.154 mm for the rim plate model, 0.326 mm for the buttress plate and 0.254 mm for the spring plate model. Mean maximum displacement was significantly less for the rim plate fixation than the buttress plate (p = 0.015) and spring plate fixation (p = 0.02). The rim plate was the stiffest construct 10,962 N/mm, followed by the spring plate model 5637 N/mm and the buttress plate model 4882 N/mm. Based on data obtained in this study, where possible a rim plate with interfragmentary lag screws should be used for isolated posterior wall fractures as this is the stiffest and most stable construct. When this method is not possible, spring plate fixation is a safe and a superior alternative to a posterior buttress plate method.
Evaluation of the efficacy of a non-penetrating captive bolt to euthanase neonatal goats up to 48 hours of age

Manual blunt force trauma is a common method of euthanasia or culling of goat kids, however it is difficult to apply consistently and may vary in effectiveness. Therefore, a controlled mechanical method is needed. The overall objective of this research was to evaluate the effectiveness of a non-penetrating captive bolt (NPCB) to euthanase goats (Capra hircus) up to 48 h of age. In a pilot study (n = 27), the optimum anatomical site for placement of the NPCB was evaluated using signs of insensibility and death, and post mortem assessment of traumatic brain injury. Three different anatomical sites (frontal bone, poll or behind the poll) were evaluated. In Experiment 1 (n = 100), goats were euthanased using the optimum anatomical placement determined in the pilot study and the presence of brainstem reflexes, rhythmic respiration, convulsions and cardiac activity were recorded. In Experiment 2 (n = 7), electroencephalogram (EEG) was recorded to assess awareness following application of the NPCB. Results from the pilot study showed that immediate insensibility followed by death was achieved when the muzzle of the NPCB was positioned behind the poll and the goat’s head was bent so that the chin touched the chest. In Experiment 1, all goats were rendered immediately insensible without return to sensibility prior to cessation of cardiac activity. In Experiment 2, application of the NPCB resulted in the immediate onset of EEG activity which was incompatible with awareness. In conclusion, the NPCB reliably caused immediate insensibility and death in goats up to 48 h of age.
Deep Layout of Custom-size Furniture through Multiple-domain Learning

In this paper, we propose a multiple-domain model for producing a custom-size furniture layout in the interior scene. This model is aimed to support professional interior designers to produce interior decoration solutions with custom-size furniture more quickly. The proposed model combines a deep layout module, a domain attention module, a dimensional domain transfer module, and a custom-size module in the end-end training. Compared with the prior work on scene synthesis, our proposed model enhances the ability of auto-layout of custom-size furniture in the interior room. We conduct our experiments on a real-world interior layout dataset that contains $710,700$ designs from professional designers. Our numerical results demonstrate that the proposed model yields higher-quality layouts of custom-size furniture in comparison with the state-of-art model.
Evaluation of Mesenchymal Stem Cells and Osteoblasts’ Adhesion and Proliferation in the Presence of HA-AL Biomaterials

There is an increased interest in developing biocomposite implants with high biocompatibility in order to be used as grafts or prostheses in orthopedic surgery. The purpose of the study was to determine the biocompatibility of titanium implants coated with synthesized hydroxyapatite-alendronate composites. The implants were obtained using Matrix Assisted Pulsed Laser Evaporation technique (MAPLE). The hydroxyapatite-alendronate composites were synthesized using the wet precipitation method. Immunofluorescence microscopy showed that composites support mesenchymal stem cells (MSCs) adhesion. Bone cells as well as human MSCs adhere to hydroxyapatite (HA)-based thin films obtained by matrix assisted laser deposition onto titanium. Alendronate doping into the films increased the number of cell-biomaterial focal points as compared to HA only. Thus, the synthesis of hydroxyapatite-alendronate composite (HA-AL) may be considered a viable solution for including the bisphosphonate on the surface of metallic prosthetic components used in orthopedics.
Paving the Way: A Grounded Theory of Discovery and Decision-Making for Persons Diagnosed with the CDH1 Marker

Purpose: To understand the process of discovery and decision-making for adults with the CDH1 marker for hereditary diffuse gastric cancer (HDGC) and inherited breast cancer. Participants and Setting : Purposeful sampling included 20 participants; 17 adults (11 women and 6 men, ages 23–77) recruited through the No Stomach for Cancer organization; six participants were interviewed two times;with three healthcare providers also interviewed. Nineteen interviews were by telephone; one was in person. Methodological Approach: Grounded theory with constant comparison. Findings: The person diagnosed with the genetic marker CDH1 undergoes the decision-making process of Paving the way as they address this healthcare challenge. Paving the way explains the entry points for learning the risk, discerning testing for confirmation, choosing iterative individual cycles of surveillance, surgery, and ongoing adjustments postoperatively while normalizing to live longer. Implications for Nursing: Understanding the process of Paving the way explains and describes the nine key factors for decision-making and predicts the timing for nursing interventions for both post-genetic testing and pre- and postoperative assessment and planning. Knowledge Translation: Advocacy for the self and family is key to Paving the Way . Nursing has an opportunity to develop and expand the roles for navigator and counselor in the area of genetic testing. Patients undergoing PTG have chronic healthcare needs. Family implications for genetic testing require assessment beyond the individual.
The Use of Guidebook on Socio-Personal Guidance for Autism Children

Enhancing a social interaction of children with autism at the school is challenging. Therefore, a guidebook for teachers regarding building social interaction among children with autism is essential. The purpose of this guidebook is to help teachers to improve children with autism social interaction. Thus, this research aims to understand the teachers' reception using guidebook on socio-personal guidance to improve social interaction among children with autism in an inclusive school. This research applied a quantitative approach. Data were collected through a questionnaire and analyzed with simple statistic descriptive. The results showed that teacher guidebook in personal social guidance with role-playing technique to increase social interaction of children with autism in inclusive school is well accepted by teachers as teachers' responses towards the use of this guidebook are positive. Keywords—socio-personal; guidance; children with autism;
Computer-assisted planning for percutaneous ethanol injection of hepatocellular carcinoma

ABSTRACT Percutaneous ethanol injection of hepatocellular carcinoma is indicated for the treatment of small tumours superimposed on liver cirrhosis. It involves destroying the cancer cells of the liver by injecting ethanol using a needle placed in the centre of the tumour under ultrasound or computed tomography scanner. A precise pre-operative planning of such intervention is a major challenge for a successful intervention. It requires an accurate estimation of the injected dose and the three-dimensional tumour centre location. In this work, we propose a computer-assisted pre-operative planning based on a three-dimensional reconstruction of all involved anatomical structures in order to avoid damaging surrounding healthy tissues, dangerous probe trajectories and under-treatment of the tumour. This system consists of two main modules : A decision support module that helps physicians to make a percutaneous treatment decision and a therapeutic support one that deals with needle guidance planning once percutaneous treatment is chosen. The proposed system was evaluated on two clinical data sets and has led to promising results.
PERAN GURU PAUD DALAM MENSTIMULASI PERKEMBANGAN BAHASA ANAK PADA KELOMPOK B USIA 5-6 TAHUN DI TK DARMA WANITA

Berdasarkan observasi awal yang penulis lakukan, permasalahan yang ditemukan dilapangan adalah Bagaimana peran guru paud dalam menstimulasi perkembangan bahasa anak pada kelompok B di Tk Darma Wanita Kabupaten seluma. Jenis penelitian ini adalah Penelitian ini menggunakan pendekatan kualitatif, data dalam penelitian tidak diperoleh melalui prosedur statistik atau bentuk hitung lainnya. Penelitian kualitatif adalah penelitian yang bermaksud untuk memahami fenomena tentang apa yang dialami oleh subjek penelitian. Berdasarkan hasil penelitian peran guru paud dalam menstimulasi perkembangan bahasa anak pada kelompok B usia 5-6 tahun di Tk Darma Wanita Kabupaten seluma, guru sudah melakukan stimulasi kepada anak namun perlu ditingkatkan dengan mengunakan berbagai media yang lebih menarik serta mengunakan metode yang berbeda agar perkembangan bahasa pada anak semakin meningkat dan anak dapat mengunakan bahasa dalam berkomunikasi, peran guru paud dalam menstimulasi perkembangan bahasa anak pada kelompok B usia 5-6 tahun di Tk Darma Wanita Kabupaten Seluma dengan memberikan contoh mengajarkan stimulasi perkembangan bahasa anak didik agar perkembangan bahasa semakin meningkat dan aspek perkembangan bahasa dapat berkembangan sesuai dengan tahap usia anak. Kata kunci: Peran Guru, Menstimulasi Perkembangan Bahasa Anak
Automated Differential Blood Count System

Blood Count is a time consuming task that requires expert examination. Automated differential blood counter system is an attempt for performing Differential Blood Count automatically by the aid of statistical and pattern recognition based classification methods. The process of counting blood cells on smear images requires four steps. These steps are acquisition, segmentation, feature extraction, and classification. The first aim of this system is detect White Blood Cell by means of an automatic thresholding based on a morphological approach. A major requirement of the whole system is an efficient method to segment cell images. The proportion of counts of different types of white blood cells in the bone marrow, called differential counts, provides invaluable information to doctors for diagnosis. Due to the tedious nature of the differential white blood cell counting process, an automatic system is preferable.
Gender is not a Prognostic Factor for Familial Mediterranean Fever

Giris: Ailevi Akdeniz atesi (AAA) en sik gorulen herediter, oto-inflamatuar hastaliktir. Bu calismada amacimiz AAA hastalarinda cinsiyet ve klinik bulgular, hastalik siddeti ve tedavi uyumu arasindaki iliskiyi incelemektir. Materyal ve Metot: AAA tanili 150 hastanin arsiv dosyalari retrospektif olarak incelendi. Hastalik siddeti uluslararasi AAA siddet skorlama sistemi (ISSF) ile, tedavi uyumlari 6 maddeli modifiye Morisky olcegi ile degerlendirildi ve cinsiyetler arasi kiyaslandi. Bulgular: AAA tanili 150 hastanin 87’si (%58) kadin ve 63’u (%42) erkekti. Erezipel benzeri eritem (EBE) kadinlarda (%51,70 ve %19, p= 0,03) ve miyalji erkeklerde daha sikti (% 31 ve % 36,50, p=0,015). Diger klinik bulgular cinsiyetler arasi farklilik gostermedi. ISSF skorlari arasinda da farklilik saptanmadi (2,93±2,05 ve 3,12±2,2; p=0,716). Tedavi uyumu ve bilgi duzeyleri her iki grupta benzerdi. (sirasiyla p=0,228 ve p=0,112,). Sonuc: AAA hastalarinda klinik bulgular, ISSF skorlari, tedavi uyumu cinsiyetler arasi farklilik gostermemektedir. AAA hastalarinda cinsiyetin prognoz uzerine etkisi yoktur.
Ramifications of Households’ Nonfarm Income on Agricultural Productivity: Evidence From a Rural Area of Pakistan

Currently in Pakistan, the agricultural sector contributes up to 18.9% of the gross domestic product. As a result of modern science and technology development, the source of income for rural households is changing, and nonfarm income has become the main source. This study investigates the effects of nonfarm income on agricultural productivity in rural Pakistan. The current research data has been collected from the Pakistan Social and Living Standards Measurement Survey (PSLM) 2017–2018, a sample of rural and urban areas designed by Pakistan’s Federal Bureau of Statistics. In this study, Heckman’s two-step procedure is used to tackle the problems of endogeneity and selection bias. The first phase, probit regression, indicates that the accessibility of banks, motorable roads, forest, telecommunication substructure, montane grasslands, and shrublands zone affects nonfarm income. On the other hand, the second stage, ordinary least squares regression, found a negative impact of nonfarm income on per capita farm income. Furthermore, results reveal that nonfarm household income has a significant positive effect on agricultural productivity.
Barriers and facilitators to use of a clinical evidence technology in the management of skin problems in primary care: insights from mixed methods

Objective: Few studies have examined the impact of a single clinical evidence technology (CET) on provider practice or patient outcomes from the provider's perspective. A previous cluster-randomized controlled trial with patient-reported data tested the effectiveness of a CET (i.e., VisualDx) in improving skin problem outcomes but found no significant effect. The objectives of this follow-up study were to identify barriers and facilitators to the use of the CET from the perspective of primary care providers (PCPs) and to identify reasons why the CET did not affect outcomes in the trial. Methods: Using a convergent mixed methods design, the authors had PCPs complete a post-trial survey and participate in interviews about using the CET for managing patients' skin problems. Data from both methods were integrated. Results: PCPs found the CET somewhat easy to use but only occasionally useful. Less experienced PCPs used the CET more frequently. Data from interviews revealed barriers and facilitators at four steps of evidence-based practice: clinical question recognition, information acquisition, appraisal of relevance, and application with patients. Facilitators included uncertainty in dermatology, intention for use, convenience of access, diagnosis and treatment support, and patient communication. Barriers included confidence in dermatology, preference for other sources, interface difficulties, presence of irrelevant information, and lack of decision impact. Conclusion: PCPs found the CET useful for diagnosis, treatment support, and patient communication. However, the barriers of interface difficulties, irrelevant search results, and preferred use of other sources limited its positive impact on patient skin problem management.
Introduction to the Handbook of Research on Entrepreneurship and Aging

There is a dramatic demographic change occurring across many developed countries in the world today where these countries are facing an increasing share of older individuals. Although the demographic structure within a country tends to be slowly changing over time, the effects of an aging society are already visible in many countries. One basic effect is that the labour force will become relatively smaller in proportion to the number of older individuals. Thus, a smaller labour force must carry the burden and sup port a larger number of older individuals. This is naturally a problem that policy makers need to address and plan for, specifically since the problem is expected to grow over time for several decades. One possible avenue which might partially reduce the problem is to encourage older individuals to stay longer in the labour force either as employed or as self-employed. Making it possible to be employed at an older age implies that the rules and regulations surrounding the mandatory retirement age need to be flexible but also that firms must be willing to retain their older employees but also to hire older individuals. Late-career transition to self-employment or entrepreneurship is another promising way to address some of the challenges of an aging population.1 Previous studies have found that a growing share of older individuals are transitioning to self-employment and entrepre neur ship (Brown, 2003). A survey in Britain shows that 84 per cent of the growth in self-employment between 2008 and 2012 can be attributed to individuals 50 years or older (Wainwright and Kibler, 2014). Moreover, Backman and Karlsson (2013) show that the relationship between age and self-employment and entrepreneurship looks like an M, that is, a curve with two maxima. People aged 65–74 have a significantly higher probability
A Random Forest Approach for Bounded Outcome Variables

Abstract Random forests have become an established tool for classification and regression, in particular in high-dimensional settings and in the presence of nonadditive predictor-response relationships. For bounded outcome variables restricted to the unit interval, however, classical modeling approaches based on mean squared error loss may severely suffer as they do not account for heteroscedasticity in the data. To address this issue, we propose a random forest approach for relating a beta distributed outcome to a set of explanatory variables. Our approach explicitly makes use of the likelihood function of the beta distribution for the selection of splits during the tree-building procedure. In each iteration of the tree-building algorithm it chooses one explanatory variable in combination with a split point that maximizes the log-likelihood function of the beta distribution with the parameter estimates derived from the nodes of the currently built tree. Results of several simulation studies and an application using data from the U.S.A. National Lakes Assessment Survey demonstrate the properties and usefulness of the method, in particular when compared to random forest approaches based on mean squared error loss and parametric regression models. Supplementary materials for this article are available online.
Big Data Analytics using Supervised Learning: A Comprehensive Review of Recent Techniques

: With the availability of text data in various forms on social media platforms, text mining, and sentiment analysis has received huge attention. The task of deriving information from this volume of data to extract knowledge is very complex and expensive because it is usually unstructured and contains noise. Recently, there is a growing need for implementing various approaches and models for efficiently processing this type of data and extracting useful information. This process is known as sentiment analysis, which includes: data gathering, data pre-processing, feature engineering and labeling, finally the application of various natural language processing and machine learning algorithms. This paper provides an overview of the most recent methods used in text mining and sentiment analysis along with their detailed description and a discussion of obtained results.