Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling and Analysis of Compliant Mechanisms for Designing Nanopositioners

The research goal of this thesis is to develop new models and computational tools for the design and optimization of compliant mechanisms with the applications to nanopositioners. A nanopositioner is a high precision positioning device used to manipulate an object to a target position at a nanometer resolution. Due to the high precision control of motion, nanopositioners are widely used in industrial and research applications which require super resolution, such as microscopy, nanofabrication, nanopatterning and interfermometry. The design tools of nanopositioners can speed up computation, increase modeling accuracy, and hence improve quality of the designs. Ultimately they facilitate design engineers to produce high performance nanopositioners effectively by shortening the design cycle. Despite the current methods, it is still difficult to accurately and efficiently analyze and model nanopositioners, since the modeling involves nonlinear geometries, nonintuitive design and multiphysics. In this research, we developed novel methods that are based on screw theory and compliance matrix for modeling and design of nanopositioners. In results, we have generated a symbolic formulation for analytical compliance analysis of flexure mechanisms. Based on this formulation, we derived a kinematic model for actuation and control of a MEMS hexapod nanopositioner. Moreover, we created an analytical model for calculating the workspace of a meso-scale flexure-based hexapod nanopositioner. And based on the workspace calculation, we apply genetic algorithm to conduct the optimization of the ii MEMS hexapod nanopostioner to obtain a large worksapce. Finally, we derived the Jacobian matrix based kinematic model and calibrated the meso-scale hexapod nanopositioner.
Systematicity and variability in over time IL development: developmental sequences in the acquisition of order within VPs in English as a foreign language

The study reported here contributes to investigation of over time interlanguage development in an instructed acquisition setting. In particular, it examines the development of word order within VP in the L3 English of 45 Spanish/ Catalan bilinguals with knowledge of L2 German. The analysis of the data (factorizing procedure, distributional analysis, implicational scaling) suggests that development can be sequenced into stages, though transition across stages is gradual. Moreover, development is constrained by knowledge of a non-native language previously learned (i.e., by crosslinguistic in uence).
Characterizing video-based online information environment using VTracker

YouTube is the second most popular website on the internet and a major actor in information propagation, therefore making it efficient as a potential vehicle of misinformation. Current tools available for video platforms tend to hyperfocus on metadata aggregation and neglect the analysis of the actual videos. In an attempt to provide analysts the tools they need to perform various research (behavioral, political analysis, sociology,etc.), we present VTracker (formerly YouTubeTracker), an online analytical tool. Some of the insight analysts can derive from this tool are inorganic behavior detection and algorithmic manipulation. We aim to make the analysis of YouTube content and user behavior accessible not only to information scientists but also communication researchers, journalists, sociologists, and many more. We demonstrate the utility of the tool through some real world data samples.
Conversations around organizational risk and insider threat

Organizational risk and resilience as well as insider threat have been studied through the lenses of socio-psychological studies and information and computer sciences. As with all disciplines, it is an area in which practitioners, enthusiasts, and experts discuss the theory, issues, and solutions of the field in various online public forums. Such conversations, despite their public nature, can be difficult to understand and to study, even by those deeply involved in the communities themselves. Who are the key actors? How can we understand and characterize the culture around such communities, the problems they face, and the solutions favored by the experts in the field? Which narratives are being created and propagated, and by whom - and are these actors truly people, or are they autonomous agents, or "bots"? In this paper, we demonstrate the value in applying dynamic network analysis and social network analysis to gain situational awareness of the public conversation around insider threat, nation-state espionage, and industrial espionage. Characterizing public discourse around a topic can reveal individuals and organizations attempting to push or shape narratives in ways that might not be obvious to casual observation. Such techniques have been used to great effect in the study of elections, the COVID-19 pandemic, and the study of misinformation and disinformation, and we hope to show that their use in this area is a powerful way to build a foundation of understanding around the conversations in the online public forum, provide data and analysis for use in further research, and equip counter insider threat practitioners with new insights.
Exploring the Key Factors of Shared Decision-Making Through an Influential Network Relation Map: The Orthopedic Nurse's Perspective

Background Few studies have used quantitative methods to explore the key factors affecting shared decision-making (SDM) in nursing decision-making from the perspective of orthopedic nurses. Purpose To understand the intercorrelations among shared decision-making questionnaire–nurse (SDM-Q-NUR) factors and identify key factors for clinical nursing care decisions in orthopedics. Methods In May 2021, this study investigated the interdependence of the SDM-Q-NUR scale and developed an influential network-relation map (INRM) from the clinical experience of 13 trained orthopedic nurses using the Decision-making Trial and Evaluation Laboratory method. Results The INRM results showed that the nine criteria corresponded to three stages: preparation, discussion, and decision. “I helped my patient or patient's family understand all the information” (C5) and “I wanted to know from my patient or patient's family how they want to be involved in making the nursing care decision” (C2) are the main key factors for the beginning of nursing decision. In the discussion and decision stages, the corresponding key factors are “I made it clear to my patient or patient's family that a nursing care decision needs to be made” (C1) and “I asked my patient or patient's family which nursing care option they prefer” (C6). The result's statistical significance confidence and gap error were 98.106% and 1.894%, respectively. Conclusions When making nursing decisions with patients, orthopedic nurses need to have detailed information about how patients are involved in SDM and all relevant information. Nurses should also inform patients and their families regarding the purpose of the discussion, namely, to help one understand the content, advantages, and disadvantages of the nursing care options, and finally, make a decision.
Step-Up Approach for Sodium Butyrate Treatment in Children With Congenital Chloride Diarrhea

Objectives Oral salt substitutive therapy is pivotal for the survival of patients with congenital chloride diarrhea (CLD), however this therapy is unable to influence the symptoms severity. Butyrate has been proposed to limit diarrhea severity in CLD. Unfortunately, the optimal dose schedule is still largely undefined. In addition, butyrate seems not to be well-tolerated by all patients, with some subjects reporting diarrhea worsening. We investigated the efficacy of a step-up therapeutic approach with sodium butyrate in patients who experienced a diarrhea worsening or an absent improvement after the direct administration of 100 mg/kg/day of sodium butyrate. Methods The efficacy of a step-up therapeutic approach starting from 50 mg/Kg/day with a subsequent 25 mg/kg/day weekly increase up to 100 mg/kg/day of oral sodium butyrate was investigated in previously three unresponsive CLD children. Results The step-up therapeutic approach resulted effective in limiting diarrhea severity in all our three previously unresponsive CLD patients. Conclusions Our results suggest the efficacy of the step-up therapeutic approach in CLD children.
Yorkie Negatively Regulates the Expression of Antimicrobial Proteins by Inducing Cactus Transcription in Prawns Macrobrachium nipponense

The Hippo signaling pathway controls organ size and immune system in Drosophila and mammals. Yorkie acts as a transcriptional co-activator in the Hippo pathway and cross-talks with other essential pathways. In this study, a Yorkie gene and two Cactus isoforms (designated as MnYorkie, MnCactus-a, and MnCactus-b, respectively) were isolated and characterized from oriental river prawns (Macrobrachium nipponense). Results showed that MnYorkie includes 1620 bp open reading frame and encodes a protein of 539 amino acids (aa). MnCactus-a (377 aa) and MnCactus-b (471 aa) were produced by alternative splicing. MnYorkie and MnCactus were continuously expressed in all selected tissues. Upon Gram-positive bacterium Staphylococcus aureus and Gram-negative bacterium Vibrio parahaemolyticus stimulation, the mRNA levels of MnYorkie and MnCactus in hemocytes and intestines underwent time-dependent enhancement. RNA interference studies showed that MnYorkie silencing remarkably downregulated the transcription of MnCactus but upregulated the expression of seven immune-related genes. In addition, MnYorkie silencing in vivo decreased the susceptibility of prawns to bacterial challenge. After S. aureus and V. parahaemolyticus infection, the survival rate of prawns increased significantly from 2 to 6 days, which corresponded to the period of MnYorkie knockdown. All these findings suggested that MnYorkie in the Hippo pathway might exhibit remarkable biological roles in the immune defense of M. nipponense by negatively regulating the expression of immune-related genes and promoting the transcription of MnCactus.
The Impact of Sodium Alginate Hydrogel on Exogenous Glucose Oxidation Rate and Gastrointestinal Comfort in Well-Trained Runners

Purpose The purpose of this study is to quantify the effect of adding sodium alginate and pectin to a carbohydrate (CHO) beverage on exogenous glucose (ExGluc) oxidation rate compared with an isocaloric CHO beverage. Methods Following familiarization, eight well-trained endurance athletes performed four bouts of prolonged running (105 min; 71 ± 4% of VO2max) while ingesting 175 mL of one of the experimental beverages every 15 min. In randomized order, participants consumed either 70 g.h−1 of maltodextrin and fructose (10% CHO; NORM), 70 g.h−1 of maltodextrin, fructose, sodium alginate, and pectin (10% CHO; ENCAP), 180 g.h−1 of maltodextrin, fructose, sodium alginate, and pectin (26% CHO; HiENCAP), or water (WAT). All CHO beverages had a maltodextrin:fructose ratio of 1:0.7 and contained 1.5 g.L−1 of sodium chloride. Total substrate oxidation, ExGluc oxidation rate, blood glucose, blood lactate, serum non-esterified fatty acid (NEFA) concentration, and RPE were measured for every 15 min. Every 30 min participants provided information regarding their gastrointestinal discomfort (GID). Results There was no significant difference in peak ExGluc oxidation between NORM and ENCAP (0.63 ± 0.07 and 0.64 ± 0.11 g.min−1, respectively; p > 0.5), both of which were significantly lower than HiENCAP (1.13 ± 0.13 g.min−1, p < 0.01). Both NORM and HiENCAP demonstrated higher total CHO oxidation than WAT from 60 and 75 min, respectively, until the end of exercise, with no differences between CHO trials. During the first 60 min, blood glucose was significantly lower in WAT compared with NORM and HiENCAP, but no differences were found between CHO beverages. Both ENCAP and HiENCAP demonstrated a higher blood glucose concentration from 60–105 min than WAT, and ENCAP was significantly higher than HiENCAP. There were no significant differences in reported GID symptoms between the trials. Conclusions At moderate ingestion rates (i.e., 70 g.h−1), the addition of sodium alginate and pectin did not influence the ExGluc oxidation rate compared with an isocaloric CHO beverage. At very high ingestion rates (i.e., 180 g.h−1), high rates of ExGluc oxidation were achieved in line with the literature.
Understanding the Effects of Emergency Experience on Online First-Aid Learning Intention: The Mediating Role of Psychological Distances and Prosociality

The fast-paced lifestyle resulting from China's rapid economic development has caused more than 500 million sudden cardiac deaths in 2020. Online first-aid education for the public is considered a key potential solution to avoid such incidents and would have great practical value. This study focuses on understanding the impact of past first-aid experience on the intention for online learning of first-aid knowledge and skills from the perspective of individual psychological factors based on the construction level and prosociality theories. More specifically, it tests the mediating roles of psychological distances and prosociality, which reflect psychological status, in the relationship between experience and learning intention along with a series of associated demographic variables. Primary data collected via a survey are analyzed through regression analysis. The results show that first-aid experience has a significant positive impact on online first-aid learning intention. In addition, psychological distances from first-aid events, and prosociality, play mediating roles in the relationship between first-aid experience and learning intention. Thus, this study contributes to understanding first-aid learning intention by revealing the impact of the individual factors of psychological distances and prosociality.
THE ETHICS OF HEALTH-PROMOTING NUDGES LA ÉTICA DE LOS IMPULSOS (“NUDGES”) QUE PROMUEVEN LA SALUD

The paper aims to provide an overview of current knowledge related to the ethicality of health-promoting nudges and a further elaboration, particularly in terms of linking the interpretation of the findings of the study and the conclusions adopted. A comprehensive narrative review of literature on the topic of interest was undertaken, aiming to contribute to the current debate on the topic of interest. It is practically hard to determine whether or not the nudgee’s agency will be eroded by the particular nudge because the line of distinction between emotions or automatic ways of human reasoning and cognitive ways of human reasoning remains blurry, and the various types of nudges fall on a combination of two continuums: the one ranging from transparent to non-transparent and the other ranging from reflective to automatic. Therefore, the majority of nudges are most likely to work as reason-bypassing nonargumentative influences, thus eroding the nudgee’s agency. It is time to accept a deviation from the strict commitment to the principle of (individualistic) autonomy in degrees proportional to the incontestably anticipated patient’s Cuadernos de Bioética. 2021; 32(106): 301-320 DOI: 10.30444/CB.104 Copyright Cuadernos de Bioética Este trabajo se publica bajo una licencia de Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional Polychronis Voultsos TeThics and healTh-promoTing nudges Cuadernos de BioétiCa. 2021; 32(106): 301-320 302 benefit. In case that patient’s best interest is less than clear or the nudging promotes another individual’s best interest (not the decider’s one), or even the common good, the ethicality of nudging is not always beyond reasonable doubt. In such cases the deviation should be as minimal as possible (i.e. limited to nudges that are transparent or almost transparent and work reflectively or almost reflectively). Nudging may be used against the COVID-19 pandemic.
The Effect of Physical Activity Counseling Based on Health Promotion Model on Physical Activity Behaviors and Functional Capacity in Cardiovascular Patients

Introduction : Physical inactivity regarded as one of the risk f actors for cardiovascular disease has been identified as the fourth leading risk factor for gl obal mortality. Aims: This study was conducted to investigate the effec t of physical activity counseling based on Health Promotion Model on physical activity behaviors and functional capacity in individuals with cardiovascu lar disease. Method: Pretest–post-test and quasi-experimental study de sign was used. The research was carried out in the Cardiopulmonary Rehabilitation U it of a university hospital. The study sample cons isted of 56 patients who were cardiovascular disease. The contr ol group (n=28) consisted of patients receiving rou tine clinical care, the intervention group (n=28) consis ted of patients who received care based on the Heal th Promotion Model accompanied by individual physical activity counseling. Counseling for the interventio group was conducted in five sessions. Patient Information F rm, Healthy Living Behaviors Scale II physical a ctivity subscale, Exercise Benefits/Bariers Scale, body com position measurements and cardiopulmonary exercise test were used to collect data. Results: İt was found that there was a statistically signific ant difference in the repeated measurements of waist circumference, maximal oxygen uptake, metabolic equivalent, Healthy Lifestyle Behavior Scale II physical activity subscale and Ex ercise Benefit/Barrier Scale scores in favor of the int rvention group; in weight, Body Mass Index and body fat perc entage values positively among the intervention gro up (p<0.05). Conclusion: It was found that benefit/barrier perceptions rel at d to exercise, healthy lifestyle behaviors, body composition and functional capacity were positively affected in individuals with cardiovascular diseas to whom Health Promotion Model was applied.
Analysis Synthesis And Design Of Chemical Processes Free

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PPG BASED BLOOD PRESSURE MONITORING AND PREDICTION USING MACHINE LEARNING

In today’s world, stress plays a significant role in every person’s life. Blood pressure is a vital health indicator in human beings. Hypertension is a prevalent chronic disease that is affected by one-sixth of the total population in the world. Variations in blood pressure will lead to many critical conditions such as stroke and heart attack. Blood pressure has an inevitable part of every treatment. Hence knowing such a vital health indicator prior can help in the diagnosis and treatment of disease in advance. The main disadvantage of the conventional method is that it provides only static values for time instants. Hence to overcome this, a system that deals with the prediction of the future blood pressure values using a machine learning technique is proposed. The proposed system uses the PPG technique for collecting pressure values from the fingertip, a microcontroller that processes the signal to pressure values and finally the prediction of values by the machine learning algorithm. The pressure values are obtained from an embedded unit and these values are used for creating a database which in turn given to the machine learning algorithm. The best prediction algorithm with the highest accuracy is selected. The main advantage of the system over the existing system is that the future health status of a person can be understood in advance. Hence personalized actions can be recommended to control and improve the elevated or dropped blood pressure levels.
Towards the Addition of Recommendation to Visualising Learning Dashboards

There have been significant contributions from the learning analytics community on creating visualisations within student-facing learning dashboards to provide insight and enhance learners’ understanding of interactions with learning environments. While learning dashboards have been well-received in the research community, most of the developed dashboards, to date, have had limited ability in providing actionable insight for improving learning. In a separate body of work, inspired by the success of recommender systems, researchers have utilised the digital traces left by learners towards providing recommendation of resources that will assist students in overcoming their shortcomings. Despite the success of recommender systems in many other domains, they have not been well-adopted in the context of higher education. This may be because recommender systems often do not provide rationale for their recommendations. As a potential solution for addressing the twin challenges of visualisation without recommendation and recommendation without justification, we have designed, implemented, and validated an open-source student-facing learning platform called RiPPLE that couples visualisation and recommendation. We have evaluated the approach using syntheticdata sets. Our results indicate that RiPPLE can provide accurate personalised and justified recommendation for learners.