Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of human tendon cell populations in healthy and diseased tissue using combined single cell transcriptomics and proteomics

The long-term morbidity of tendon disease in an increasingly active and ageing population represents a growing area of unmet clinical need. Tendon disorders commonly affect the lower limb, ranging from isolated tendon rupture to degenerative joint deformity. In the absence of valid animal models of chronic tendinopathy, traditional methods to isolate and identify crucial sub types involved in disease are limited by the heterogeneity of tendon cells, by their relative paucity in tissue and by the density of the surrounding collagen matrix. To overcome this, we have used next generation CITE-sequencing to combine surface proteomics with in-depth, unbiased gene expression analysis of single cells derived ex vivo from healthy and diseased tendon. For the first time we have been able to show that human tendon consists of at least eight sub-populations of cells. In addition to endothelial cells, Tc cells, and macrophages, there are five distinct tenocyte populations expressing COL1A genes. These consist of a population of resident cells expressing microfibril associated genes (FBN1, VCAN, DCN, EMILIN1, MFAP5), a group of SCX+ cells co-expressing high levels of pro-inflammatory markers, a population of APOD+ fibro-adipogenic progenitors (FAPs), TPPP3/PRG4+ chondrogenic cells (COMP, CILP, PRG4) and ITGA7+ Smooth Muscle-Mesenchymal Cells, recently described in mouse muscle but not, as yet, in human tendon. Surface proteomic analysis identified markers by which these sub-classes could be isolated and targeted in future. In comparison to healthy tendon, diseased tendon harboured a greater proportion of SCX+ tendon cells and these expressed high levels of pro-inflammatory markers including CXCL1, CXCL6, CXCL8, PDPN and previously undescribed PTX3. We were also able to show that whereas disease associated genes such as CD248 and PDPN were expressed by COL1+ tenocytes, IL33 was restricted to endothelial cells of chronically diseased tendon.
The influence of the central warehouse on the functioning of Polish small and medium-sized enterprises operating in group purchasing organizations

Growing competition in the market forces primarily small and medium enterprises (SMEs) to implement certain mechanisms that will allow them to build an advantage over the competition. Most often, SMEs try to work together as part of multi-stakeholder organizations and organize themselves into group purchasing organizations (GPOs) with the central warehouse to improve the financial state of enterprises. The article aims to assess and analyze the impact of the central warehouse on the performance of Polish SMEs operating in group purchasing organizations. The research group comprised of 172 trading enterprises operating in Polish group purchasing organizations. The investigated companies were divided into two groups. In the first group, there were companies operating within GPOs, which have a central warehouse. In the second group, there were companies in which central unit does not have a central warehouse. The analysis and research showed that the central warehouse has a positive impact on financial security of small and medium enterprises operating in group purchasing organizations. The use of central warehouse optimizes the most costly current assets component – inventories. This is confirmed by better results of inventory turnover ratios in days, reduced share of inventories in the structure of current assets, and optimization of financial liquidity ratios.
LITERATURE REVIEW OF HISTORICAL MASONRY STRUCTURES WITH MACHINE LEARNING

The objective of this work is to use machine learning techniques to analyze a big database of papers published since 1990 regarding the conservation of masonry buildings considered as historical heritage. In this study, a database of nearly three thousand papers obtained from Scopus database [1] were investigated. In a first stage, the papers are analyzed using basic statistics in order to describe the evolution of the research during the past thirty years. In the second stage, Genetic Algorithms (GA) were implemented to create bibliometric maps for the visualization of co-word analysis that was performed using the provided database. The obtained diagrams constitute comprehensive maps of relevant characteristics among the investigated literature such as similarities between author keywords or author names. The maps are constructed using a rigorous methodology that involves the mapping of each item (for example, a keyword) to a two-dimensional point. The distances between the items represent their dissimilarity for a specific characteristic. The numerical procedure for the construction of the bibliometric map involves an optimization task solved by means of GA. The obtained result is a powerful tool for data analysis, which provides a deep insight of relevant characteristics of a large database in a very short time.
The complete chloroplast genome sequence of Populus mexicana (Salicaceae)

Abstract The complete chloroplast genome sequence of Populus mexicana was characterized from Illumina pair-end sequencing. The chloroplast genome of P. mexicana was 156,188 bp in length, containing a large single-copy region (LSC) of 86,871 bp, a small single-copy region (SSC) of 16,559 bp, and 2 inverted repeat (IR) regions of 26,377 bp. The overall GC content is 36.74%, while the corresponding values of the LSC, SSC, and IR regions are 64.8, 69.3, and 60.3, respectively. The genome contains 111 complete genes, including 72 protein-coding genes (62 protein-coding gene species), 31 tRNA genes (29 tRNA species), and 8 rRNA genes (4 rRNA species). The neighbor-joining phylogenetic analysis showed that P. mexicana and Populus fremontii clustered together as sisters to other Populus species.
An 8-ch LIDAR Receiver Based on TDC With Multi-Interval Detection and Real-Time $In~Situ$ Calibration

This article presents an 8-ch LIDAR receiver for pulsed time-of-flight (TOF) imaging laser detection and ranging application. The proposed LIDAR receiver can achieve both 100 m and high-precision range imaging with lower system cost, which was untrodden with conventional LIDARs. The time-to-digital converter (TDC) with multi-intervals detection is used to measure the TOF and eliminate the walking error. Spatial Savitzky–Golay smoothing filter (SSGSF) is used to improve measuring range and precision of the LIDAR system, which is based on mixed timing sampling (MTS). The MTS is realized by TDC, analog-to-digital converter (ADC) with 200-MS/s sampling rate, and mixed interpolation algorithm. Based on the proposed LIDAR receiver, extensive experiments have been performed to verify the performance of the LIDAR receiver. The ranging precision of the LIDAR receiver is 40 mm when the rising time of the echo signal is 3 ns and the signal-to-noise ratio (SNR) is 10. Furthermore, the LIDAR receiver achieves a measurement range of 100 m with a peak power of 30 W and an execution time of $2.4~\mu \text{s}$ for a complete measurement.
Joint Multilevel Model for Analyzing Length of Stay through Competing Endpoints in Dengue Epidemiology

Dengue is a common mosquito-borne tropical disease caused by a virus. It is a life threatening disease since it sometimes leads to death within a short period of time. Multilevel modeling is a form of statistical modeling when data is at different levels. Due to dengue seriousness and risk being more similar for patients within districts than between districts, there is correlation between patients within districts. Thus district has to be taken as a cluster variable. A frequently encountered response in epidemiological studies is the length of Stay (LOS) of a patient, which measures the time until the event of interest occurs. Complexity arises with the different states/destinations of the time event and competing risk modelling is a more appropriate method for handling such states. The association of platelet count and length of stay of a dengue patient leads to the joint modelling approach for analyzing the dengue patients. Formulation criteria for the joint model with clustered data is to link these models through two sub models that is by using the multilevel multinomial logistic model for the LOS of dengue patients with different destinations and multilevel continuous model for the log platelet count. The linkage between two responses was derived by sharing a common random effect. Factors that have an effect on different destinations of LOS are, time indicators, year, age, classification, rainfall, temperature and humidity, while age, sex, classification, year place treated, rainfall, temp and humidity are associated factors for the log platelet count of dengue patients. Moreover, supremacy of joint modelling was proved by the AIC and BIC values over two separate univariate models.
Using Intervention Mapping for a Needs Assessment on Preconception Care in Suriname: The Perisur Project

Background: Every year approximately 10,000 babies are born in Suriname of which an estimated 400 die in the perinatal period. The main purpose of the Perisur project is to improve perinatal outcomes and improve under-five and maternal health. This study focused on introducing preconception care in Suriname. Methods: Intervention Mapping was used as guiding framework and we focused on its first the needs assessment. Step: A mixed method study with a sequential design was performed. The PRECEDE model served as tool to conceptualize the needs. Results: Twenty-nine stakeholders responded to a web-based survey (response rate 41%). Important preconception risk factors included hypertension, diabetes mellitus and teenage pregnancies. Six interviews were conducted, identifying various perspectives on preconception problems and its causes. Lack of pregnancy planning was assessed as most alarming risk behaviour, causing two preconception problems: unplanned and teenage pregnancies. A sample of thirty-nine potential end-users (pregnant women) completed a survey on preconception counselling: 76% found preconception counselling important and 46% considered going. As a final step, we derived the following program goals: improve education, (equal) access to care services, risk awareness and risk perception; and increase the number of women preparing their pregnancy (e.g. via preconception counselling). Conclusion: This study made a first step in developing a tailored preconception care program to improve perinatal outcomes in Suriname. The methodological approach in this study provides a basis for future preconception care interventions within the Perisur project.
INVASIVE RUGOSE SPIRALLING WHITEFLY Aleurodicus rugioperculatus MARTIN, A SERIOUS PEST OF OIL PALM Elaeis guineensis IN INDIA

Occurrence and severe infestation of the invasive rugose spiralling whitefly (RSW), Aleurodicus rugioperculatus Martin (Hemiptera: Aleyrodidae) on oil palm (Elaeis guineensis Jacq. ) , (Arecales: Arecaceae) in India is reported for the first time. The severity of its infestation, impact on oil palm cultivation, occurrence of natural enemies and non-chemical management strategies against RSW are discussed.
The Root Cause Analysis Handbook

Root Cause Analysis Handbook-ABS Consulting 2014-10-01 Are you trying to improve performance, but find that the same problems keep getting in the way? Safety, health, environmental quality, reliability, production, and security are at stake. You need the long-term planning that will keep the same issues from recurring. Root Cause Analysis Handbook: A Guide to Effective Incident Investigation is a powerful tool that gives you a detailed step-by-step process for learning from experience. Reach for this handbook any time you need field-tested advice for investigating, categorizing, reporting and trending, and ultimately eliminating the root causes of incidents. It includes step-by-step instructions, checklists, and forms for performing an analysis and enables users to effectively incorporate the methodology and apply it to a variety of situations. Using the structured techniques in the Root Cause Analysis Handbook, you will: Understand why root causes are important. Identify and define inherent problems. Collect data for problem-solving. Analyze data for root causes. Generate practical recommendations. The third edition of this global classic is the most comprehensive, all-in-one package of book, downloadable resources, color-coded RCA map, and licensed access to online resources currently available for Root Cause Analysis (RCA). Called by users "the best resource on the subject" and "in a league of its own. " Based on globally successful, proprietary methodology developed by ABS Consulting, an international firm with 50 years' experience in 35 countries. Root Cause Analysis Handbook is widely used in corporate training programs and college courses all over the world. If you are responsible for quality, reliability, safety, and/or risk management, you'll want this comprehensive and practical resource at your fingertips. The book has also been selected by the American Society for Quality (ASQ) and the Risk and Insurance Society (RIMS) as a "must have" for their members.
The Interplay of Teacher Success, Credibility, and Stroke with Respect to EFL Students’ Willingness to Attend Classes

Given the significance of teacher characteristics in student motivation for class attendance, the present paper aimed to investigate the roles of teacher success, credibility, and stroke in students’ Willingness to Attend Classes (WTAC). To this aim, a total number of 276 undergraduate students majoring in Teaching English as a Foreign Language (TEFL) and English Language and Literature completed four scales: Characteristics of Successful EFL Teachers Questionnaire (Moafian & Pishghadam, 2008), Teacher Credibility Scale (McCroskey & Teven, 1999), Student Stroke Scale (Pishghadam & Khajavi, 2014), and WTAC Scale (Rajabnejad, Pishghadam, & Saboori, 2017). For data analysis, Pearson multiple correlation coefficients and path analysis were employed. The results of correlational analyses revealed a significantly positive correlation, first, between teacher success and students’ WTAC, secondly, between teacher credibility and students’ WTAC, and thirdly, between teacher stroke and students’ WTAC. Furthermore, the results of path analysis indicated that students’ WTAC was significantly predicted by teacher success, credibility, and stroke. At the end, the results were discussed in light of previous findings, and potential conclusions were made in the EFL context accordingly.
Using dynamic path analysis to estimate a mediation effect through a survival variable

Time-to-event composite outcomes are common in clinical trials. Reporting guidelines recommend that the treatment effect estimate for each component event be reported. In the setting with two components, when one precedes the other, there may be interest in estimating the indirect effect of treatment on the final event through the intermediate one. This thesis proposes a pragmatic solution to this problem. The motivating example is a dataset pooled from three clinical trials investigating a treatment effect on time to cancer progression or death in patients with advanced non-small cell lung cancer. There is interest in exploring whether treatment had an indirect effect on death through its effect on progression. This problem could be addressed by implementing dynamic path analysis, which combines linear regression and additive hazards models to estimate the indirect effect of an exposure on a time-to-event outcome. However, it is only appropriate for settings with continuous intermediate variables. The thesis therefore suggests an extension dealing with settings where both intermediate and final events are time-to-event variables. This extension is described and tested using simulation studies. The results suggest that this method gives rise to results very close to those predicted, when the rate of the intermediate event is not very fast relative to the final event rate. When the intermediate event occurs much more quickly than the final event, depletion of individuals from the risk set by experiencing the final event causes divergence between the estimated and expected indirect treatment effects. The extension of dynamic path analysis is implemented for the clinical trials dataset, showing a protective indirect effect of treatment on death through cancer progression. The thesis concludes that the extension of dynamic path analysis to settings with a time-to-event intermediate outcome is feasible, although some results should be interpreted with care.
COMPARATIVE ANALYSIS OF IMAGE RETRIEVAL TECHNIQUES IN CYBERSPACE

Purpose: With the popularity and remarkable usage of digital images in various domains, the existing image retrieval techniques need to be enhanced. The content-based image retrieval is playing a vital role to retrieve the requested data from the database available in cyberspace. CBIR from cyberspace is a popular and interesting research area nowadays for a better outcome. The searching and downloading of the requested images accurately based on meta-data from the cyberspace by using CBIR techniques is a challenging task. The purpose of this study is to explore the various image retrieval techniques for retrieving the data available in cyberspace. Methodology: Whenever a user wishes to retrieve an image from the web, using present search engines, a bunch of images is retrieved based on a user query. But, most of the resultant images are unrelated to the user query. Here, the user puts their text-based query in the web-based search engine and compute the related images and retrieval time. Main Findings: This study compares the accuracy and retrieval-time of the requested image. After the detailed analysis, the main finding is none of the used web-search engines viz. Flickr, Pixabay, Shutterstock, Bing, Everypixel, retrieved the accurate related images based on the entered query. Implications: This study is discussing and performs a comparative analysis of various content-based image retrieval techniques from cyberspace. Novelty of Study: Research community has been making efforts towards efficient retrieval of useful images from the web but this problem has not been solved and it still prevails as an open research challenge. This study makes some efforts to resolve this research challenge and perform a comparative analysis of the outcome of various web-search engines.
Physical activity prescription

18 Oberg—Research Review Physical inactivity has become epidemic. The media is calling it Sedentary Death Syndrome, and your patients are (or should be! ) asking you what to do about it. As set forth in the Healthy People 2010 guidelines (a framework of recommendations created jointly by the U.S. Department of Health and Human Services, other federal agencies, and various nongovernmental agencies to challenge Americans to lead healthier lives), the recommended amount of exercise is 30 minutes of moderate activity on 5 or more days of the week or 20 minutes of vigorous activity 3 or more days per week.1 Moderate activity (such as brisk walking) is defined as activity resulting in a noticeable increase in heart rate. Vigorous activity (such as jogging) is associated with rapid breathing and a greater increase in heart rate. Since 1984 state health departments, in conjunction with the Centers for Disease Control and Prevention, have been conducting the Behavioral Risk Factor Surveillance Survey (BRFSS), the world’s largest, on-going telephone health survey that yearly tracks health conditions and risk behaviors in the United States. According to the most recent survey, BRFSS 2001, more than 60% of Americans do not achieve the recommended amount of physical activity, and 26% of Americans reported no leisure-time physical activity at all.2 This level of inactivity produces a notable problem: 12% of depression and anxiety and 31% of colon cancer, heart disease, osteoporosis, and stroke cases are attributable to physical inactivity.3 For the first time in U.S. history, childhood lifespan predictions are lower than those for the previous generation. Largely attributed to pediatric obesity, many of today’s children are not expected to outlive their parents.4 For these reasons, doing more to help our patients get the recommended amount of physical activity and/or exercise is the strongest risk-reducing prescription we can offer to prevent chronic disease.5 RESEARCH REVIEW
Use of computational realistic models for the cardiac ejection fraction calculation

Ejection fraction is one of the most useful clinical descriptors to determine the cardiac function of a subject. For this reason, obtaining the value of this descriptor is of vital importance and requires high precision. However, in the clinical routine, to generate the mentioned descriptor value, a geometric hypothesis is assumed, obtaining an approximate value for this fraction, usually by excess, and which is a dependent-operator. The aim of the present work is to propose the accurate calculation of the ejection fraction from realistic models, obtained computationally, of the cardiac chamber called right ventricle. Normally, the geometric hypothesis that makes this ventricle coincide with a pyramidal type geometric shape, is not usually, fulfilled in subjects affected by several cardiac pathologies, so as an alternative to this problem, the computational segmentation process is used to generate the morphology of the right ventricle and from it proceeds to obtain, accurately, the ejection fraction value. In this sense, an automatic strategy based on no-lineal filters, smart operator and region growing technique is propose in order to generate the right ventricle ejection fraction. The results are promising due we obtained an excellent correspondence between the manual segmentation and the automatic one generated by the realistic models.
Santo remedio latino parents & students foster literacy through a culturally relevant folk medicine event

Mary Esther Soto Huerta is an assistant professor in the Department of Curriculum and Instruction of the College of Education at Texas State University-San Marcos, San Marcos, Texas. Mari Riojas-Cortez is a professor in the Department of Interdisciplinary Learning and Teaching of the College of Eduction and Human Development at the University of Texas at San Antonio, San Antonio, Texas. Santo Remedio
Unified Neural Adaptive Control for Multiple Human–Robot–Environment Interactions

To go from human demonstration to robot independent operation, there are generally three phases of interaction to undergo, including human–robot interaction (HRI), human–robot–environment interaction (HREI), and robot–environment interaction (REI). Most existing methods address problems of a single stage. In this article, a unified neural adaptive control method that organically fuses multiple interactions is proposed. HRI, REI, and their coupling effects in HREI are comprehensively considered. First, the iterative least squares method is used for robot dynamics identification based on the linearized momentum observer. The accuracy of external force observation is improved to deal with dynamic uncertainties. The human force and the environmental force are achieved and decoupled by using only a force sensor, a momentum observer, and a selection matrix S. Next, the neural adaptive control method compensating position errors caused by the model uncertainty is addressed. The control system is proved to be stable based on the Lyapunov theorem. The trajectory tracking error under the model uncertainties is reduced. Then, the adaptive admittance control method is introduced. The interaction force of HRI is minimized and the interaction force control of REI is realized. Finally, the proposed method is verified by simulations and experiments.