Miracle-dz/UniFAR-FTUs huggingface dataset:
Wearable Posture Monitoring System with Biofeedback via Smartphone

Abstract— In this paper a novel portable posture monitoring and feedback system is proposed. System is designed to be unobtrusively used during daily activities and provide alternative solution to traditional bracing used in treatment of scoliosis. System consists of wearable sensor network for posture data acquisition, wireless data transmission and conventional smartphone for data processing, visualization and vibrating feedback generation. Special data acquisition board is designed for data sampling from sensor network and wireless transmission to smartphone. A custom made Android application is used for real time data processing, current posture model visualization, data logging and instantaneous feedback. System was tested for posture monitoring and feedback generation on multiple test subjects. Tests demonstrated systems effectiveness on improving posture related behavior and ability to help subject to hold specific reference posture performing similar task as traditional bracing.
Spatially Precise DNA Bending Is an Essential Activity of the Sox2 Transcription Factor*

Sox proteins, a subclass of high mobility group box proteins, govern cell fate decisions by acting both as classical transcription factors and architectural components of chromatin. We aimed to demonstrate that the DNA bending activity of Sox proteins is essential to regulate gene expression. We focused on mouse Sox2, which participates in the transactivation of the Fgf4(fibroblast growth factor4) gene in the inner cell mass of the blastocyst. We generated six substitutions in the high mobility group box of Sox2. One mutant showed a reduced DNA bending activity on the Fgf4enhancer (46° instead of 80°), which resulted in more powerful transactivation compared with the wild type protein. We then selected two single-base mutations in the Fgf4 enhancer that make the DNA less bendable by the Sox2 protein. Again, a different DNA bend (0° and 42° instead of 80°) resulted in a different activation of transcription, but in this case reduced bending corresponded to decreased transcription. We found that the opposite effect on transcription of similar DNA bending angles is due to a 20° difference in the relative orientation of the DNA bends, proving that a correct three-dimensional geometry of enhanceosome complexes is necessary to promote transcription.
A numerical method for calculating the flow-induced vibration of the microstructure profiler

The flow-induced vibration is the determinant factor of the low end detection limit of microstructure profiler detecting the dissipation rate of turbulence kinetic energy. In the present investigation, a numerical method is proposed to calculate the flow-induced vibration of the microstructure profiler. In the method, the fluid-solid coupling calculation is conducted using ANSYS-CFX codes. The active force generated by the vortex shedding during the profiler sinking is first calculated using the CFX code. By applying the active force to the profiler in the environment of ANSYS, the vibration frequency and the acceleration of the profiler in horizontal direction are then obtained. To validate the numerical method, sea tests are executed using the free-falling microstructure profiler developed by Tianjin University in the Western Pacific. The acceleration signals of the flow-induced vibration obtained from the numerical method have good agreement with those from the sea tests. The present investigation provides a convenient and effective method to predict the flow-induced vibration and further estimate the low end detection limit of the microstructure profiler in design stage.
A comparison study between one-class and two-class machine learning for MicroRNA target detection

The application of one-class machine learning is gaining attention in the computational biology community. Different studies have described the use of two-class machine learning to predict microRNAs (miRNAs) gene target. Most of these methods require the generation of an artificial negative class. However, designation of the negative class can be problematic and if it is not properly done can affect the performance of the classifier dramatically and/or yield a biased estimate of performance. We present a study using one-class machine learning for miRNA target discovery and compare one-class to two-class approaches. Of all the one-class methods tested, we found that most of them gave similar accuracy that range from 0.81 to 0.89 while the two-class naive Bayes gave 0.99 accuracy. One and two class methods can both give useful classification accuracies. The advantage of one class methods is that they don’t require any additional effort for choosing the best way of generating the negative class. In these cases one- class methods can be superior to two-class methods when the features which are chosen as representative of that positive class are well defined.
Forming a new clinical team for frail older people: can a group development model help?

Abstract Integrated services which utilise the expertise of team members along care pathways are evolving. Changes in service structure and subsequent team working arrangements can be a challenge for practitioners expected to redefine how they work with one another. These services are particularly important for the care of frail older people. This exploratory study of one newly forming team presents the views of staff involved in establishing an interprofessional healthcare advisory team for older people within an acute hospital admissions unit. Staff experiences of forming a new service are aligned to a model of team development. The findings are presented as themes relating to the stages of team development and identify the challenges of setting up an integrated service alongside existing services. In particular, team process issues relating to the clarity of goals, role clarification, leadership, team culture and identity. Managers must allow time to ensure new services evolve before setting up evaluation studies for efficiency and effectiveness which might prove against the potential for interprofessional teamworking.
VISUAL HULL CONSTRUCTION FROM SEMITRANSPARENT COLOURED SILHOUETTES

This paper attempts to create coloured semi-transparent shadow images that can be projected onto multiple screens simultaneously from different viewpoints. The inputs to this approach are a set of coloured shadow images and view angles, projection information and light configurations for the final projections. We propose a method to convert coloured semi-transparent shadow images to a 3D visual hull. A shadowpix type method is used to incorporate varying ratio RGB values for each voxel. This computes the desired image independently for each viewpoint from an arbitrary angle. An attenuation factor is used to curb the coloured shadow images beyond a certain distance. The end result is a continuous animated image that changes due to the rotated projection of the transparent visual hull.
Combinatorial Algorithms for Minimizing the Maximum Laplacian and Signless Laplacian Eigenvalues of Weighted Graphs

We provide strongly polynomial time combinatorial algorithms to minimize the largest eigenvalue of the weighted Laplacian of a bipartite graph and the weighted signless Laplacian of an arbitrary graph by redistributing weights among the edges. This is accomplished by solving graph embedding problems which arise as dual programs of a semidefinite programming formulation. In particular, the problem for trees can be solved in time cubic in the number of vertices.
Environmental quality criteria for organic chemicals predicted from internal effect concentrations and a food web model

Environmental quality criteria (EQC) for hydrophobic organic chemicals were calculated with a model for bioaccumulation in food webs. The model was calibrated and verified using polychlorinated biphenyl concentrations in food webs of shallow lakes. The EQCs in water and sediment were derived based on internal effect concentrations (IECs) for several modes of toxic action. By reverse calculation with the food web model for each organism in the web, a different water or sediment concentration is calculated corresponding to the IEC in each organism. A statistical procedure with an acute‐to‐chronic value is used to derive chronic EQCs based on bioaccumulation. The model‐based chronic EQCs were compared with previously established EQCs. The EQCs calculated with the food web model generally are within an order of magnitude of the previously derived EQCs based on toxicity data on individual chemicals. Some previously derived EQCs are much lower than model predictions and usually based on small samples of toxicity data such as no‐observed‐effect concentrations (NOECs) with large assessment factors. When faced with data gaps, it is proposed to use model‐based chronic EQCs for (polar) narcotic chemicals. Other modes of action require a different model concept to account for receptor‐based toxicity.
Efferent connections of nucleus accumbens subdivisions of the domestic chicken (gallus domesticus): An anterograde pathway tracing study

Envisaged as a limbic‐motor interface, the mammalian nucleus accumbens (Ac) is responsible for motivation, emotionality, and reward mechanisms. As in mammals, Ac of the domestic chick has three subdivisions: the rostral pole (AcR) lying in the rostral part of basal telencephalon, the core (AcC), corresponding to the ventromedial medial striatum, and the shell (AcS), lying ventrally and ventrolaterally to the AcC. Less well known is the connectivity of subdivisions. Here we report on the efferents of Ac subregions, using biotinylated dextran amine as anterograde tracer, deposited into the AcR, AcS, and AcC. The projections of the accumbens subregions mainly overlap in the telencephalon and the diencephalon but differ in the brainstem. In the telencephalon, the main projection sites are the ventral pallidum, the basal nucleus (Meynert), and the nucleus of the diagonal band. The lateral hypothalamus and lateral preoptic area receive strong projections from the AcR and AcS, and weaker projections from the AcC. The AcR and AcC massively innervate the subthalamic nucleus. In the brainstem the bulk of accumbens fibers were found in the compact part of the substantia nigra. All subregions project to the parabrachial region, reticular formation, periaqueductal gray, and the raphe nuclei, with some differences in the weights and subregional distributions. AcR and AcS project extensively to the ventral tegmental area, while AcC sends massive innervation to the solitary and vagal motor nuclei. Overall, the results seem to support the previously suggested distribution of Ac subregions, emphasizing similarities and differences with mammals. J. Comp. Neurol. 519:2922–2953, 2011. © 2011 Wiley‐Liss, Inc.
Os gêneros Emplectonema Stimpson e Nemertopsis Bürger (Hoplonemertini monostilifera)

Com o presente trabalho pretendo trazer alguns esclarecimentos a morfologia e taxonomia de dosi generos afins dos Hoplonemertinos monostiliferos, emplectonema Stimpson e Nemertopsis Burger, anatomicamente pouco conhecidos (Friedrich 1936, p.37).
Performance evaluation of an Inveon PET preclinical scanner

We evaluated the performance of an Inveon preclinical PET scanner (Siemens Medical Solutions), the latest MicroPET system. Spatial resolution was measured with a glass capillary tube (0.26 mm inside diameter, 0.29 mm wall thickness) filled with 18F solution. Transaxial and axial resolutions were measured with the source placed parallel and perpendicular to the axis of the scanner. The sensitivity of the scanner was measured with a 22Na point source, placed on the animal bed and positioned at different offsets from the center of the field of view (FOV), as well as at different energy and coincidence windows. The noise equivalent count rates (NECR) and the system scatter fraction were measured using rat-like (Φ = 60, L = 150 mm) and mouse-like (Φ = 25 mm, L = 70 mm) cylindrical phantoms. Line sources filled with high activity 18F (>250 MBq) were inserted parallel to the axes of the phantoms (13.5 and 10 mm offset). For each phantom, list-mode data were collected over 24 h at 350–650 keV and 250–750 keV energy windows and 3.4 ns coincidence window. System scatter fraction was measured when the random event rates were below 1%. Performance phantoms consisting of cylinders with hot rod inserts filled with 18F were imaged. In addition, we performed imaging studies that show the suitability of the Inveon scanner for imaging small structures such as those in mice with a variety of tracers. The radial, tangential and axial resolutions at the center of FOV were 1.46 mm, 1.49 and 1.15 mm, respectively. At a radial offset of 2 cm, the FWHM values were 1.73, 2.20 and 1.47 mm, respectively. At a coincidence window of 3.4 ns, the sensitivity was 5.75% for EW = 350–650 keV and 7.4% for EW = 250–750 keV. For an energy window of 350–650 keV, the peak NECR was 538 kcps at 131.4 MBq for the rat-like phantom, and 1734 kcps at 147.4 MBq for the mouse-like phantom. The system scatter fraction values were 0.22 for the rat phantom and 0.06 for the mouse phantom. The Inveon system presents high image resolution, low scatter fraction values and improved sensitivity and count rate performance.
Convergence of probability measures

The author's preface gives an outline: "This book is about weakconvergence methods in metric spaces, with applications sufficient to show their power and utility. The Introduction motivates the definitions and indicates how the theory will yield solutions to problems arising outside it. Chapter 1 sets out the basic general theorems, which are then specialized in Chapter 2 to the space C[0, l ] of continuous functions on the unit interval and in Chapter 3 to the space D [0, 1 ] of functions with discontinuities of the first kind. The results of the first three chapters are used in Chapter 4 to derive a variety of limit theorems for dependent sequences of random variables. " The book develops and expands on Donsker's 1951 and 1952 papers on the invariance principle and empirical distributions. The basic random variables remain real-valued although, of course, measures on C[0, l ] and D[0, l ] are vitally used. Within this framework, there are various possibilities for a different and apparently better treatment of the material. More of the general theory of weak convergence of probabilities on separable metric spaces would be useful. Metrizability of the convergence is not brought up until late in the Appendix. The close relation of the Prokhorov metric and a metric for convergence in probability is (hence) not mentioned (see V. Strassen, Ann. Math. Statist. 36 (1965), 423-439; the reviewer, ibid. 39 (1968), 1563-1572). This relation would illuminate and organize such results as Theorems 4.1, 4.2 and 4.4 which give isolated, ad hoc connections between weak convergence of measures and nearness in probability. In the middle of p. 16, it should be noted that C*(S) consists of signed measures which need only be finitely additive if 5 is not compact. On p. 239, where the author twice speaks of separable subsets having nonmeasurable cardinal, he means "discrete" rather than "separable. " Theorem 1.4 is Ulam's theorem that a Borel probability on a complete separable metric space is tight. Theorem 1 of Appendix 3 weakens completeness to topological completeness. After mentioning that probabilities on the rationals are tight, the author says it is an
Enrichissement des modèles de classification de textes représentés par des concepts. (Improving text-classification models using the bag-of-concept paradigm)

La majorite des methodes de classification de textes utilisent le paradigme du sac de mots pour representer les textes. Pourtant cette technique pose differents problemes semantiques : certains mots sont polysemiques, d'autres peuvent etre des synonymes et etre malgre tout differencies, d'autres encore sont lies semantiquement sans que cela soit pris en compte et enfin, certains mots perdent leur sens s'ils sont extraits de leur groupe nominal. Pour pallier ces problemes, certaines methodes ne representent plus les textes par des mots mais par des concepts extraits d'une ontologie de domaine, integrant ainsi la notion de sens au modele. Les modeles integrant la representation des textes par des concepts restent peu utilises a cause des resultats peu satisfaisants. Afin d'ameliorer les performances de ces modeles, plusieurs methodes ont ete proposees pour enrichir les caracteristiques des textes a l'aide de nouveaux concepts extraits de bases de connaissances. Mes travaux donnent suite a ces approches en proposant une etape d'enrichissement des modeles a l'aide d'une ontologie de domaine associee. J'ai propose deux mesures permettant d'estimer l'appartenance aux categories de ces nouveaux concepts. A l'aide de l'algorithme du classifieur naif Bayesien, j'ai teste et compare mes contributions sur le corpus de textes labellises Ohsumed et l'ontologie de domaine Disease Ontology. Les resultats satisfaisants m'ont amene a analyser plus precisement le role des relations semantiques dans l'enrichissement des modeles. Ces nouveaux travaux ont ete le sujet d'une seconde experience ou il est question d'evaluer les apports des relations hierarchiques d'hyperonymie et d'hyponymie.
Towards the Design of a Mobile Mental Health Self-help System for Emergency Rescuers - A Pilot Study

This study explores the psychological need of emergency rescuers and proposes a strategy for addressing these needs through intelligent virtual advisory tools named ERMS. Drawing on the design science paradigm in the information systems discipline, we explore the key design principals that influence the value of the mental self-help system, through iterations of the user requirements elicitation, system design, development and theory testing. This paper focuses on a systematic review of the contemporary research work that weave together to inform our research emphasis and system design. In the next stage, we will propose our research framework, then testing the framework further through large scale experiments. This paper contributes to the advancement of Information Systems theories in the design of virtual advisory systems. It also highlights to practitioners a few important practical guidelines for the design and development of virtual advisory systems.
Analysis of multichannel wireless networks With priority-based polling MAC protocols

This paper presents an analytic approach for the modeling, analysis and performance evaluation of multichannel wireless networks using priority-based polling multiple access protocol. The multichannel operation is modeled by a multiserver polling system, where the order in which stations are polled can be accomplished either under regular cycles or at random. The number of messages transmitted per visit at each polled station is defined by using a gated + L-limited rule. The analytic model also accounts for multiple priority classes, that can be assigned to determine the order in which messages (within each visited station) are selected for transmission. Multi-channel operation is modeled by using an heuristic approximation for an M/G/K system, and the scenario also accounts for a classic Head-Of-Line (HOL) policy to support priority-based services. In addition, a terminal's random-choice component, implying a random polling policy, is added to approximate an Ad Hoc network. Numerical and simulation results indicate coherence of the models proposed under asymptotic and regular conditions.
A program to facilitate retention of employment among persons with multiple sclerosis.

OBJECTIVES The objective was to develop and evaluate the feasibility of a medical-community job-retention model in MS. STUDY DESIGN 43 individuals with MS at risk for losing their jobs were randomized to one of two groups. Both received standard medical care. The experimental group received specialized services geared toward job-retention conducted by medical personnel and an employment specialist. The control group received only standard medical care. Both groups were followed for 1 year. RESULTS The new program was feasible, however, participants made little use of its services. At the I-year follow-up there was no difference between the two groups in job retention. CONCLUSIONS A combined medical-community job-retention program is feasible in MS. However, patients do not generally wish to take advantage of job-retention services until an employment crisis develops. Future programs should develop more effective approaches to early intervention to realize their maximum potential.
Convergence of Alternating Optimization

Let f : Rs → R be a real-valued function, and let x = (x1,.,xs)T ∈ Rs be partitioned into t subsets of non-overlapping variables as x = (X1,.,Xt)T, with Xi ∈ Rpi for i = 1,. ,t, Σi=1tpi = s. Alternating optimization (AO) is an iterative procedure for minimizing f(x) = f(X1, X2,., Xt) jointly over all variables by alternating restricted minimizations over the individual subsets of variables X1,. , Xt. Alternating optimization has been (more or less) studied and used in a wide variety of areas. Here a self-contained and general convergence theory is presented that is applicable to all partitionings of x. Under reasonable assumptions, the general AO approach is shown to be locally, q-linearly convergent, and to also exhibit a type of global convergence.