Miracle-dz/UniFAR-FTUs huggingface dataset:
A CASE OF MOTOR VEHICLE ACCIDENT WITH RIBS AND MID STERNAL FRACTURE S

Motor vehicle a ccidents (MVAs) have been a major cause of morbidity and mortality since the introduction of the automobile. Multiple injuries often occur in people who are involved in traffic accidents, and rib fractures are among the most common of these injuries, with an occurrence as high as 60 %. The location of specific rib fractures is an important indicator of related injury. A case of ribs and sternal fracture s was discussed in this report. In this case, the patient was not wearing seatbelt and had a contact with the steering wheel on the lower abdomen . He complained of c hest and abdominal pain which were made worse upon movement and breathing. After careful examination and investigation , the patient was diagnosed with ribs and sternal fracture . Treatment plan duri ng admission included monitoring of vital signs and worsening of chest or abdominal pain, intravenous analgesic which was later switched to oral analgesics, incentive spirometry, breathing exercise and ambulation encouragement. Patient was allowed to be di scharged wit h oral analgesics after two days of admission and to be followed up in two weeks time .
Alexithymia and comparison of alternative treatments to talk therapy for people who have a mental health diagnosis

This research study was a quantitative, descriptive investigation of the relationship between the rate of alexithymia in the mental health population and exploring the helpfulness of alternative treatments compared to traditional talk therapy. An online based questionnaire, using the Toronto Alexithymia Scale (TAS-20), a Likert scale used to measure the presence of alexithymia, and an open-ended comment section, was administer anonymously to fifty-four people with a mental health diagnosis. The major areas of interest were levels of alexithymia in the mental health population and finding out about the helpfulness of alternative treatments. Participants had higher than average scores on the TAS-20. Though several participants found alternative treatments helpful for their mental health, a majority of the participants have never tried alternative treatments described in the study. ALEXITHYMIA AND COMPARISON OF ALTERNATIVE TREATMENTS TO TALK THERAPY FOR PEOPLE WHO HAVE A MENTAL HEALTH DIAGNOSIS A project based upon an independent investigation, submitted in partial fulfillment of the requirements for the degree of Masters of Social Work Rebekah Milhoan Smith College School for Social Work Northampton, Massachusetts 01063 2017
Risk Tolerance and Risk Exposure: Evidence from Panel Study of Income Dynamics

In this paper, I examined the attitude of U.S. households towards risk as well as its connections with the families’ exposure to actual financial risks. I also looked at factors that might affect the risky attitude and the financial position of the families, including age, education, income, the possession of pension, annuities and IRAs as well as the economy status. My result showed that the financial position generally conforms to the risky attitude of the families, given other factors constant, and that age has a negative effect on risk tolerance and risk exposure while income, education and the possession of IRAs have positive effects. The exposure to risk also changes with the changes in the economy.
Data-true Characterization Of Neuronal Models

In this thesis, a weighted least squares approach is initially presented to estimate the parameters of an adaptive quadratic neuronal model. By casting the discontinuities in the state variables at the spiking instants as an impulse train driving the system dynamics, the neuronal output is represented as a linearly parameterized model that depends on filtered versions of the input current and the output voltage at the cell membrane. A prediction errorbased weighted least squares method is formulated for the model. This method allows for rapid estimation of model parameters under a persistently exciting input current injection. Simulation results show the feasibility of this approach to predict multiple neuronal firing patterns. Results of the method using data from a detailed ion-channel based model showed issues that served as the basis for the more robust resonate-and-fire model presented. A second method is proposed to overcome some of the issues found in the adaptive quadratic model presented. The original quadratic model is replaced by a linear resonateand-fire model -with stochastic thresholdthat is both computational efficient and suitable for larger network simulations. The parameter estimation method presented here consists of different stages where the set of parameters is divided in to two. The first set of parameters is assumed to represent the subthreshold dynamics of the model, and it is estimated using a nonlinear least squares algorithm, while the second set is associated with the threshold and
Heavy Metal Contamination and Physico-Chemical Assessment of the Densu River Basin in Ghana

Physico-chemical and Trace metal analyses were carried out on water and sediment samples from the Densu River in Ghana to ascertain the water quality. The pH values ranged from 6.55 to 7.33 and were within the natural background level of 6.5-8.5. The Total Dissolved Solids (TDS) values ranged from 67.1 to 113.0 mg/L and were below the World Health Organization (WHO) recommended value of 1000 mg/L. The Electrical Conductivity (EC) values ranged from 150.3 to 223.0 :S/cm and were below the acceptable value of 350 :S/cm for unpolluted river. The salinity values were generally insignificant. The Atomic Absorption Spectrometry (AAS) technique was used for the trace metal analysis. The elemental analysis was done for Cd, Cu, Fe, Hg, Mn, Ni and Zn. The analysis gave Fe (1.590-6.090) mg/L, Mn (0.039- 0.661) mg/L and Zn (0.005-0.021) mg/L in the water samples. The concentrations of Cd, Cu, Hg and Ni were below their respective detection limits for the analytical method used. The elemental concentrations in the soil sediments were Cu (6.0-46.5) mg/kg, Fe (11,200-47,800) mg/kg, Mn (143-1488) mg/kg and Zn (6.5-108.0) mg/kg. Cd, Hg and Ni levels were below their respective detection limits. Enrichment factor computation for the soil sediments revealed that there could be moderate anthropogenic contributions to the levels of Mn and Zn in the sediments.
Quorum Sensing in Gram-Negative Plant Pathogenic Bacteria

Plant pathogenic bacteria regulate expression of specific genes through quorum sensing (QS). Some bacteria encode a single or more than one QS system while others encode a single LuxI and two or more LuxR homologs. Not all plant pathogenic bacteria encode the LuxI and in these situations the LuxR modulates cell behavior in a cell density man ner by utilizing signal molecules that are produced by their plant hosts. The advantage of having more than one system is still not well understood. However, it has been specu lated that it is essential for regulation of QS traits in different environmental conditions. Quorum sensing systems in plant pathogenic bacteria include those that use acyl homo serine lactones, 3-hydroxy palmitic acid methyl ester or methyl 3-hydroxypalmitate, vir - ulence factor modulation genes and diffusible signal factors. This chapter discusses the various QS systems in Gram-negative plant pathogenic bacteria, notably those listed as the top 10 plant pathogenic bacteria that cause significant reduction in yields and inflict economic losses in agriculture. In addition, it explores the various biological processes influenced by QS and the extent of QS regulons in these bacteria. receptor molecule. The AHL binds to the protein receptor molecule, the complex then binds to specific promoters and trigger multiple gene expression. The traits that are regulated by this system include pathogenicity, production of secondary metabolites, motility, secretion systems, stress response, conjugation, growth inhibition, biofilm formation and clustered regularly interspaced short Palindromic repeats (CRISPR-Cas). binds to promoters of the vfmAZCBD and vfmE kinase. This results in activation of production of a transcriptional activator, AraC (encoded by vfmE ) and regulation of specific phenotypes. Phenotypes regulated by the VFM QS include production of plant cell wall degrading enzymes and pathogenicity. system include motility, biofilm formation, production of plant cell wall degrading enzymes, iron acquisition, lipopolysaccharide/ exopolysaccharides (EPS) synthesis and secretion, expression of type IV pili and fitness. Other traits regulated include chemotaxis, multidrug resistance and detoxification, pathogenicity, metabolism, transport, interspecies competition and pigmentation.
Psychiatric disorders and nesfatin-1 Psikiyatrik hastaliklar ve nesfatin-1

Nowadays psychiatric disorders is complex group of diseases that many factors play a role in the etiology and prevalence of it's very higher. Neurotransmitters levels such as serotonin norepinefrin and dopamine in the brain is changed in case of illness. For instance Neurotransmitters such as serotonin, norepinefrin and dopamine is decreased in depression and dopamine is increased in schizophrenia. Many of the antidepressants drugs that used in the treatment of depression leads to weight gain in patients. Nesfatin-1 is expressed that recently discovered, being an anorexigenic peptid and derived NEFA / nukleobindin2 (NUCB2) in the brain's stress-related field. Plasma nesfatin-1 levels were found to be very high psychiatric patients than normal people with. Peptids' brings to mind the idea that may be important in the prognosis of the disease which the decreased of the level of hormone following treatment process and high in case of illness. It's will provide a better understanding of the prognosis of the disease that can also be explained the effect of these hormones under stress in this disease. In future studies, to understand the antidepressants effect of nesfatin-1 the important molecular mechanisms related with the nesfatin-1 receptor should be necessary to define. In light of recent studies, it is thought that nesfatin-1 could be a important antidepressant drug in the near future. Ozet Psikiyatrik hastaliklar gunumuzde prevalansi cok yuksek olan etiyolojisinde bircok faktorun rol oynadigi yaygin ve kompleks bir hastalik grubudur. Hastalik durumunda beyinde serotonin, norepinefrin, dopamin gibi norotransmitterlerin duzeyleri degismektedir. Ornegin depresyonda serotonin, norepinefrin ve dopamin azalmaktayken; sizofrenide ise dopamin artmaktadir. Major depresyon tedavisinde kullanilan antidepresan ilaclarin cogu hastalarda kilo alimina yol acmaktadir. NEFA/nukleobindin2 (NUKB2)'den kaynaklanan son yillarda kesfedilen anoreksijenik bir peptid olan nesfatin-1, beynin stresle alakali alanlarinda bulunmaktadir. Psikiyatrik hastalarda normal insanlara kiyasla plazma nesfatin-1 duzeyi cok yuksek bulunmustur. Hastalik durumunda yuksek iken, tedavi surecini takiben hormon seviyesinin dusmesi peptidin hastaligin prognozunda onemli olabilecegi fikrini akla getirmektedir. Bu rahatsizliklarda stres altinda bu gibi hormonlarin etkilerinin aciklanmasi hastaligin prognozunun daha iyi anlasilmasini saglayacaktir. Gelecek calismalarda, nesfatin-1'in antidepresif etkisini anlamak icin; nesfatin-1 reseptorleri ile ilgili onemli molekuler mekanizmalarin tanimlanmasi gerekmektedir. Son yapilan calismalarin isiginda, nesfatin-1'in yakin gelecekte onemli bir antidepresan ilaci olabilecegi dusunulmektedir.
Discovery of very nearby ultracool dwarfs from DENIS

Received idate? / Accepted idate? Abstract. We report new spectroscopic results, obtained with UKIRT/CGS4, of a sample of 14 candidate ultracool dwarfs selected from the DENIS (Deep Near-Infrared Survey of the Southern Sky) database. A further object, selected from the 2MASS Second Incremental Release, was observed at a later epoch with the same instrument. Six objects are already known in the literature; we re-derive their properties. A further four prove to be very nearby (< 10 pc) mid-to-late L-dwarfs, three unknown hitherto, two of which are almost certainly substellar. These findings increase the number of L-dwarfs known wit hin ∼ 10 pc by∼ 25%. The remainder of the objects discussed here are early L or very late M-type dwarfs lying between∼45 and 15 pc and are also new to the literature. Spectral types have been derived by direct comparison with J-,H- and K- band spectra of known template ultracool dwarfs given by Leggett et al. ⋆ For the known objects, we generally find agreement to within∼1 subclass with previously derived spectral types. Distances are determined from the most recent MJ vs. spectral type calibrations, and together with our derived proper motions yield kinematics for most targets consistent with that expected for the disk population; for three probable late M-dwarfs, membership of a dynamically older population is postulated. The very nearby L-type objects discussed here are of great interest f or future studies of binarity and parallaxes.
Fundamental performance differences between CMOS and CCD imagers: Part 1

In depth characterization of CMOS arrays is unveiling many characteristics not observed in CCD imagers. This paper is the first of a series of papers that will discuss unique CMOS characteristics related to fundamental performance differences between CMOS and CCD imagers with emphasis on scientific arrays. The first topic will show that CMOS read noise is ultimately limited by a phenomenon referred to as random telegraph signal (RTS) noise. RTS theory and experimental data discuss its creation, time and frequency domain characteristics, wide variance from pixel to pixel and magnitude on the sensor's overall read noise floor. Specific operating parameters that control and lower RTS noise are identified. It is shown how correlated double sampling (CDS) signal processing responds to RTS noise and demonstrate that sub electron CMOS read noise performance is possible. The paper also discusses CMOS sensitivity (V/e-) nonlinearity, an effect not familiar to CCD users. The problem plays havoc on conventional photon transfer analysis that leads to serious measurement errors. New photon transfer relations are developed to deal with the problem. Nonlinearity for custom CMOS pixels is shown to be beneficial for lowering read noise and extending dynamic range. The paper closes with a section on the high performance CMOS array used to generated data products presented.
AUTISM: ASSESSMENT AND MANAGEMENT

SUMMARY Autism and the related pervasive developmental disorders are characterized by patterns of delay and deviance in the development of social, communicative and cognitive skills, which arise in the first years in life. Differential diagnosis includes other psychiatric and pervasive developmental disorders, deafness and profound hearing loss. Autism is frequently associated with fragile X syndrome and tuberous sclerosis. Common co-morbidities include Mental Retardation, Seizure Disorder and Psychiatric disorders such as depression and anxiety. Early detection and intervention significantly improve outcomes, with about one third of autistic persons achieving some degree of independent living. Various treatment modalities administered by Multidisciplinary team are helpful. (e.g. Pharmacotherapy, special education, speech, communication therapy, and behavior modification). A Medline search dating back to 1970 was done, to look at the literature related to autism. Based on this search, up to date review of autism has been discussed with special emphasis on assessment and management.
FOLK DANCE PATTERN RECOGNITION OVER DEPTH IMAGES ACQUIRED VIA KINECT SENSOR

Abstract. The possibility of accurate recognition of folk dance patterns is investigated in this paper. System inputs are raw skeleton data, provided by a low cost sensor. In particular, data were obtained by monitoring three professional dancers, using a Kinect II sensor. A set of six traditional Greek dances (without their variations) consists the investigated data. A two-step process was adopted. At first, the most descriptive skeleton data were selected using a combination of density based and sparse modelling algorithms. Then, the representative data served as training set for a variety of classifiers.
Developing Computational Fluency with the Help of Science: A Turkish Middle and High School Grades Study.

Students need to achieve automaticity in learning mathematics without sacrificing conceptual understanding of the algorithms that are essential in being successful in algebra and problem solving, as well as in science. This research investigated the relationship between science-contextualized problems and computational fluency by testing an instructional method that was implemented as a non-traditional drill exercise. The study employed a quantitative analysis of pre- and post-test scores of Turkish middle and high school students after two interventions. The questions addressed were: Do the science-contextualized drill practices (SCP) improve students’ computational fluency better than traditional drill practices (TP)? Is there any statistical significance between middle and high school students in terms of their benefit from SCP? This study showed that sciencecontextualized drill exercises produced higher gains for both middle and high school students’ computational fluencies than the traditional context-free drill exercises.
THE STRUCTURE OF DELIBERATIVE PROCESS. AN ETHICAL ATTEMPT

The purpose of this paper is to highlight the structure of a deliberative process starting from a normative explanation, first individually (Rawls) and then extended to the concept of deliberative politics reflected in social institutions and understood as an “ideal case” of making the decision within the group. On the other hand I will try to outline the extent in which that such differences/complementarities can be noticed, the scope of the concept of deliberative democracy of that of the concept of democracy discourse in two stages: in the first instance I will consider how Habermas filters the result of deliberative action through the discourse theory (here at least two types of elements are important: communicative action, discourse principle as a principle of globalization based on a reasoning technique). In fact one can see that there is a conversion of the deliberative process with one with a dual purpose discursive structure: as deliberations to acquire a legitimizing force and subsequently to be socially integrated as citizens expect that the deliberation results to have a reasonable quality – the result of a decision process, the deliberative model provides an invariably true and balanced solution. The second stage brings into question the instrumental rationality critique (according to Dryzek, the instrumental rationality can be defined as the ability to design, select and execute through the best methods the clarified purposes). This type of criticism, primarily highlights a number of accents considered antidemocratic by Dryzek, noticed in political practice, political institutions or even in the individual actions arising from the official use of the instrumental rationality as effective instrumental action, and on the second hand, it determines all the elements of a new paradigm, based on communicative rationality, that of the discursive democracy
gl2vec: Learning Feature Representation Using Graphlets for Directed Networks

Learning network representation has a variety of applications, such as network classification. Most existing work in this area focuses on static undirected networks and does not account for presence of directed edges or temporal changes. Furthermore, most work focuses on node representations that do poorly on tasks like network classification. In this paper, we propose a novel network embedding methodology, gl2vec, for network classification in both static and temporal directed networks. gl2vec constructs vectors for feature representation using static or temporal network graphlet distributions and a null model for comparing them against random graphs. We demonstrate the efficacy and usability of gl2vec over existing state-of-the-art methods on network classification tasks such as network type classification and subgraph identification in several real-world static and temporal directed networks. We argue that gl2vec provides additional network features that are not captured by state-of-the-art methods, which can significantly improve their classification accuracy by up to 10% in real-world applications.
Do firms manage earnings and avoid tax for corporate social responsibility

This study examines the relationship between corporate tax avoidance (CTA), earnings management (EM) and corporate social responsibility (CSR) within a context of an emerging economy. The study employs system methods of moments (GMM) and logistic regression to establish whether firms in Ghana manage earnings and avoid tax to finance corporate social responsibility. The results show that almost all the firms sampled have engaged in some management of their earnings and tax during the period. The study also find evidence that an increase in CSR activities is associated with an increase in EM, suggesting that, sampled firms may use CSR as a cover for engaging in opportunistic behaviour such as earnings management. By extension, these results have important policy implications for policy makers in assessing the effectiveness of the tax laws. Key words: Corporate tax avoidance, corporate social responsibility, earnings management, developing country.
Book Review: Interactive Television as Magic Box? The Future of Television Between Money Making Machine and Viable Business Models [Zaubermaschine Interaktives Fernsehen? TV-Zukunft zwischen Blutentraumen und Businessmodellen]

This book represents a comprehensive collection of state-of-the-art ideas on the potentials of interactive television (iTV), which is, simply speaking, television broadcasting whereby a feedback loop enables instant (or even slightly delayed) two-way communication between the television broadcaster and the audience. The book initially affirms the magic appeal of interactivity for both scholarly thinking and media practice. In fact, starting with the book’s preface, one is reminded of antecedent critical pointers about TV’s role in contemporary society and discussions around its legitimacy as a social institution. This historical approach prepares us well for the discussions that surround the current pledge for a panacea of today’s television broadcasting illnesses brought about by interactivity. Indeed, as the book’s German title suggests, there is understandable scepticism as to the magic powers repeatedly ascribed to the interactive future of television broadcasting, perhaps because the promises are rather elusive. Let us cite Tracy Swedlow, founder and editor-in-chief of the U.S.-based Interactive TV Today, a widely read news source, who had surmised the medium’s promising future already in 2000 as follows:
A Method of Dynamically Associating Behavior Risks based on Time Thread in Smartphones

Behavior associated risks are analyzed and detected based on a series of software behaviors and user behaviors in a smartphone. Based on time threads, a method of dynamically associating and analyzing risks of behaviors is proposed. According to the time sequence of the behavior occurrence, the behaviors are organized into a behavior associated graph with time threads. Associated analysis and detection of risks among behaviors are achieved through matching association rules. The advantage of this method is that it cannot only realize dynamic analysis while behavior occurs, but can also realize static postmortem analysis using collected data sets. The dynamic association of behavior risk based on time thread improves behavior risk analysis and realizes the real-time risk detection in smartphones. Formalized definitions of behavior and behavior associated graphs are presented. Algorithms of behavior risk associating are described, and the results of the experimental analysis are given.