Miracle-dz/UniFAR-FTUs huggingface dataset:
Ocular von Hippel-Lindau Disease – clinical characteristics and future directions

ABSTRACT Introduction: von Hippel-Lindau (VHL) disease is an autosomal dominant, inherited multisystem cancer syndrome involving mutations in the VHL tumor suppressor gene. The hallmark lesion in ocular VHL disease is the retinal capillary hemangioblastoma (RCH), a benign vascular tumor capable of causing visual loss through exudative changes. Areas covered: Combining epidemiological and clinical data with an analysis of recent treatment and outcomes literature, this review aims to update the clinician on research findings and upcoming potential therapies. We describe the clinical features of ocular VHL disease and the factors that can help prognose visual outcome in affected patients and provide a summary of current treatment modalities. Expert commentary: We provide an update on the advent of genetic testing for pathogenic mutations in the VHL gene which has enabled earlier diagnoses and more detailed prognoses in affected patients, and have opened the way to future potential treatments aimed at the downstream molecular mediators of the disease.
Lightweight Mutual Authentication Protocol for V2G Using Physical Unclonable Function

Electric vehicles (EVs) have been slowly replacing conventional fuel based vehicles since the last decade. EVs are not only environment-friendly but when used in conjunction with a smart grid, also open up new possibilities and a Vehicle-Smart Grid ecosystem, commonly called V2G can be achieved. This would not only encourage people to switch to environment-friendly EVs or Plug-in Hybrid Electric Vehicles (PHEVs), but also positively aid in load management on the power grid, and present new economic benefits to all the entities involved in such an ecosystem. Nonetheless, privacy and security remain a serious concern of smart grids. The devices used in V2G are tiny, inexpensive, and resource constrained, which renders them susceptible to multiple attacks. Any protocol designed for V2G systems must be secure, lightweight, and must protect the privacy of the vehicle owner. Since EVs and charging stations are generally not guarded by people, physical security is also a must. To tackle these issues, we propose Physical Unclonable Functions (PUF) based Secure User Key-Exchange Authentication (SUKA) protocol for V2G systems. The proposed protocol uses PUFs to achieve a two-step mutual authentication between an EV and the Grid Server. It is lightweight, secure, and privacy preserving. Simulations show that the proposed protocol performs better and provides more security features than state-of-the-art V2G authentication protocols. The security of the proposed protocol is shown using a formal security model and analysis.
Repeated Usage of an L3 Motorway Chauffeur: Change of Evaluation and Usage

Most studies on users’ perception of highly automated driving functions are focused on first contact/single usage. Nevertheless, it is expected that with repeated usage, acceptance and usage of automated driving functions might change this perception (behavioural adaptation). Changes can occur in drivers’ evaluation, in function usage and in drivers’ reactions to take-over situations. In a driving simulator study, N = 30 drivers used a level 3 (L3) automated driving function for motorways during six experimental sessions. They were free to activate/deactivate that system as they liked and to spend driving time on self-chosen side tasks. Results already show an increase of experienced trust and safety, together with an increase of time spent on side tasks between the first and fourth sessions. Furthermore, attention directed to the road decreases with growing experience with the system. The results are discussed with regard to the theory of behavioural adaptation. Results indicate that the adaptation of acceptance and usage of the highly automated driving function occurs rather quickly. At the same time, no behavioural adaptation for the reaction to take-over situations could be found.
Elucidating Immune Signaling of Influenza A Virus and Aspergillus Fumigatus Co-Infections through Pioneered Model Development

Bacterial co-infections with influenza A virus (IAV) are extremely serious and life-threatening. However, there exists limited understanding about the importance of fungal infections with IAV. Clinical case reports indicate that fungal co-infections do occur and suggest the IAV pandemic of 2009 had a propensity to predispose patients to secondary fungal infections more than previous IAV strains. IAV-fungal co-infections are marked by high mortality rates of 47 to 61% in previously healthy individuals between the ages of 20 and 60. Yet, the variables involved in this co-infection remain undetermined. I achieved effective recapitulation of this co-infection using a C57Bl/6 murine (mouse) model which resulted in similar morbidity and mortality rates seen in humans. Here, I proposed that an exacerbated immune response during infection with IAV and the opportunistic saprophytic ubiquitous fungal pathogen, Aspergillus fumigatus, induces the development of more severe pneumonia. I explored the possible mechanisms regulating inflammation at the cellular level. To do this, a cellular model was designed using primary mouse bone marrow derived macrophages (BMDMs) infected first with IAV and later coinfected with A. fumigatus. Our in vitro data indicated that IAV and fungal co-infections synergistically enhanced immune cell signaling and pro-inflammatory cytokine production through the caspase-1 containing inflammasome. Through various immunological techniques, I established that, during co-infection, AIM2 mediated maturation of caspase-1 facilitates the observed increase in production of pro-inflammatory cytokines. Interestingly, enhanced caspase1 maturation is not due to increased NLRP3 inflammasome priming. NLRP3 expression actually diminishes over the course of infection, which could be explained through increased proteasomal degradation of NLRP3 through dysregulated DAPK1 signaling.
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation

Open-domain dialogue generation has gained increasing attention in Natural Language Processing. Its evaluation requires a holistic means. Human ratings are deemed as the gold standard. As human evaluation is inefficient and costly, an automated substitute is highly desirable. In this paper, we propose holistic evaluation metrics that capture different aspects of open-domain dialogues. Our metrics consist of (1) GPT-2 based context coherence between sentences in a dialogue, (2) GPT-2 based fluency in phrasing, (3) n-gram based diversity in responses to augmented queries, and (4) textual-entailment-inference based logical self-consistency. The empirical validity of our metrics is demonstrated by strong correlations with human judgments. We open source the code and relevant materials.
Considering a participatory approach to social work – Service user research

Service-user involvement in social work research is much vaunted and considered desirable. Yet, it is not common. This is despite the fact that research-funding bodies are increasingly mandating inclusion of service users in the research process. It would seem timely for the profession to look again at participatory research as an approach to working collaboratively with service users in the co-production of research. This article reviews the arguments for service-user collaboration in social work research; it considers the evolution of service-user engagement and its current status in practice. Building on the foundations of social work research methodologies, the article considers the practicalities of participatory research and the potential barriers. The article draws on vignettes of published participatory research to illustrate this type of research in social work.
Identificação de Polaridade de Sentimento no Twitter Aplicada à Indústria Calçadista

Diversos sao os trabalhos relatados na literatura cientifica sobre classificacao de sentimentos, com a extracao de mensagens da plataforma de Twitter. Todavia verificou-se a inexistencia de trabalhos focados especificamente referente a lingua portuguesa para a area calcadista. O artigo mostra como e possivel reconhecer opiniao (positiva ou negativa) de consumidores em relacao a area calcadista, utilizando de aprendizado de maquina a partir de tweets. Como modelo foi utilizado uma empresa de calcados da regiao Sul do Brasil. Foram coletados textos do Twitter, os quais foram pre-processados para a limpeza de termos irrelevantes, a extracao de caracteristicas para a obtencao de medidas e a diferenciacao da polaridade. E por fim foi feita a identificacao de qual classe o exemplar sob analise pertence com o uso de classificadores para o reconhecimento de polaridade. Os classificadores utilizados foram o Support Vector Machines (SVM), Multi-Layer Perceptron (MLP), Random Forest, Vizinhos mais proximos (KNN) e o Linear Discriminant Analysis (LDA). Os resultados mostraram que o melhor classificador para esse tipo de problema foi o MLP. Os resultados com o classificador MLP obtiveram especificidade de 78,5%, sensibilidade de 95,6% e uma acuracia de 86,0%. http://dx.doi. org/10.18226/23185279.v7iss2p177
Active cell balancing of lithium‐ion battery pack based on average state of charge

Differences in the environment and parameters of lithium‐ion battery (LiB) cells may lead the residual capacity between the battery cells to be inconsistent, and the battery cells may be damaged due to overcharging or overdischarging. In this study, an active balancing method for charging and discharging of LiB pack based on average state of charge (SOC) is proposed. Two different active balancing strategies are developed according to the different charging and discharging states of LiB pack. When the LiB pack is charging, charging balance strategy is performed, wherein the battery cells whose SOC is higher than the average SOC of the LiB pack are balanced to increase the charging capacity of the entire LiB pack. When the LiB pack is discharging or static standing, discharging balance strategy is performed, wherein the batter cells whose SOC is lower than the average SOC of the LiB pack are balanced to increase the discharging capacity of the entire LiB pack. The experimental results show that the proposed active balancing method can reduce the inconsistency of residual energy between the battery cells and improve the charging and discharging capacity of the LiB pack.
Diverging Roads: Theory-Based vs. Machine Learning-Implied Stock Risk Premia

We assess financial theory-based and machine learning-implied measurements of stock risk premia by comparing the quality of their return forecasts. In the low signal-to-noise environment of a one month horizon, we find that it is preferable to rely on a theory-based approach instead of engaging in the computerintensive hyper-parameter tuning of statistical models. The theory-based approach also delivers a solid performance at the one year horizon, at which only one machine learning methodology (random forest) performs substantially better. We also consider ways to combine the opposing modeling philosophies, and identify the use of random forests to account for the approximation residuals of the theory-based approach as a promising hybrid strategy. It combines the advantages of the two diverging paths in the finance world.
Physiological Responses of Indigenous Sheep under Water Restriction

Eighteen farm born indigenous hoggets were selected on the basis of body weight (25-30kg) and randomly divided in to three treatment groups viz. T1 (Control), T2 (WR1: 20%WR) and T3 (WR2: 40%WR) and each treatment comprised of six animals to evaluate physiological responses. The pulse rate (per min) recorded at 7.30 am significantly (P < 0.05) elevated in 40% WR group as compared to 20 and 0% WR groups whereas respiration rate (per min) and rectal temperature (0F) recorded at 2.30 pm significantly (P < 0.05) elevated when animals were subjected to 40% WR as compared to 20 and 0% WR indicated that the 40% water restriction was more stressful to the animals.
DETERMINANTES DA DEMANDA DE TURISMO INTERNACIONAL DO BRASIL: UMA ANÁLISE GRAVITACIONAL NO PERÍODO DE 2000 A 2015

O setor de turismo e responsavel por cerca de 9,0% do PIB e do total de empregos gerados no Brasil. As comparacoes internacionais indicam que ha capacidade para o crescimento do turismo brasileiro no tocante a demanda de turismo internacional. O objetivo deste artigo e analisar os principais determinantes da demanda de turismo internacional do Brasil no periodo 2000-2015. Para tanto, foi estimado um modelo gravitacional por meio do metodo Poisson Pseudo-Maximum-Likelihood - PPML . O modelo utilizado comprova a importância de variaveis gravitacionais, tais como a contiguidade e a distância geografica na explicacao da demanda de turismo internacional do Brasil. Os resultados encontrados tambem sugerem que o tamanho do mercado e a renda dos paises que enviam turistas para o Brasil constituem os importantes determinantes dessa demanda seguidos do grau de abertura da economia brasileira.
PENENTUAN KAPASITAS BESS (BATTERY ENERGY STORAGE SYSTEM) DENGAN PENDEKATAN MULTIPERIOD OPTIMAL POWER FLOW PADA SISTEM MICROGRID

Microgrid merupakan jaringan listrik skala kecil yang umumnya terdiri dari DG (Distributed Generation) dan beban. DG biasanya memanfaatkan sumber energi terbarukan seperti energi matahari dan angin, sehingga ketersediannya dipengaruhi oleh kondisi alam yang tidak pasti. Pada penelitian ini, sebuah pembangkit PV (photovoltaic) dengan skala kecil digunakan untuk menyuplai sebuah sistem microgrid dengan pembangkit biomassa secara bersamaan. Ketidakpastian suplai energi pada sistem microgrid dapat diatasi dengan menggunakan BESS (Battery Energi Storage System). BESS akan menyimpan kelebihan energi dari sistem dan akan menyuplai kembali ke sistem saat dibutuhkan. Daya keluaran PV dimodelkan dengan mengakomodir ketidakpastian menggunakan distribusi probabilitas pada solar irradiance. Penelitian ini mengusulkan pemodelan optimasi kapasitas BESS dengan pendekatan multiperiod optimal power flow. Metode optimasi yang digunakan adalah linear programming dengan fungsi objektif adalah meminimalkan daya dari generator dan ukuran BESS. Pendekatan fungsi kepadatan probabilitas distribusi Beta digunakan untuk memodelkan ketidakpastian solar irradiance. Pemodelan optimasi disimulasikan menggunakan bahasa pemrogramman Python. Untuk menguji program, digunakan sistem 16 bus Desa Margosari dan CIGRE Benchmark Low Voltage : American Topology dengan pola penyinaran solar irradiance diasumsikan berbeda-beda (5 pola). Pemodelan yang diusulkan dapat menghitung ukuran optimal BESS pada sistem yang disimulasikan dengan pola penyinaran yang berbeda-beda. Kata kunci : Microgrid, Photovoltaic, BESS, Multiperiod optimal power flow, Linear programming, Distribusi Beta.
Movement speaks for itself: The kinematic and neural dynamics of communicative action and gesture

Actions may be used to directly act on the world around us, or as a means of communication. Effective communication requires the addressee to recognize the act as being communicative. Humans are sensitive to ostensive communicative cues, such as direct eye gaze (Csibra & Gergely, 2009). However, there may be additional cues present in the action or gesture itself. Here we investigate features that characterize the initiation of a communicative interaction in both production and comprehension. We asked 40 participants to perform 31 pairs of object-directed actions and representational gestures in moreor lesscommunicative contexts. Data were collected using motion capture technology for kinematics and video recording for eye-gaze. With these data, we focused on two issues. First, if and how actions and gestures are systematically modulated when performed in a communicative context. Second, if observers exploit such kinematic information to classify an act as communicative. Our study showed that during production the communicative context modulates space-time dimensions of kinematics and elicits an increase in addressee-directed eye-gaze. Naïve participants detected communicative intent in actions and gestures preferentially using eye-gaze information, only utilizing kinematic information when eye-gaze was unavailable. Our study highlights the general communicative modulation of action and gesture kinematics during production but also shows that addressees only exploit this modulation to recognize communicative intention in the absence of eye-gaze. We discuss these findings in terms of distinctive but potentially overlapping functions of addressee directed eye-gaze and kinematic modulations within the wider context of human communication and learning.
The out Come of Conservative Treatment of Displaced Midclavicular Fractures in Adolescent , Experience at King Hussein Medical Center

Objective: To evaluate the outcome of conservative treatment of displaced midclavicular fractures in adolescent population. Methods: A retrospective review of all displaced mid clavicle fractures in children aged from ten to sixteen years over a period of four years in King Hussein Medical Center was done; the outcome was evaluated regarding the complications, duration of treatment and the functional outcome with the Constant Shoulder Score . Result: A total of 79 displaced fractures with a mean age of 13.4 years were included in the study, 56 boys and 23 girls. The mean fracture shortening was 14.3 mm (range,5 to 28 mm),the mean fracture displacement was18.4 mm (range, 4 to 23 mm), mean follow up was 20 months (range, 13 to 34 months), all patients were treated conservatively . the mean time to radiological union was 7.9 weeks (range ,6 to 11 weeks),the mean time to return to activity was13.1 weeks(range, 8 to 19 weeks), and the mean Constant Shoulder Score was 97.8 (range, 89 to 100). Conclusion: Conservative treatment of mid clavicle fractures in adolescents gives good results, and the surgical treatment for this fracture in the adolescent patients is not necessary.
Mimicking human drug metabolic reactions using microfluidic platforms

Microfluidics has shown great potential in a range of biomedical and drug development applications. Investigating metabolic reactions in vitro via microfluidic devices presents a potential route to predict the toxicity levels of a tested compound in vivo. This project focuses on the development of a microfluidic platform integrated with a screen-printed electrode and immobilised with drug metabolism enzymes for this purpose. To develop a methodology for mimicry of metabolic enzyme reactions in microfluidics, a well-understood enzyme transketolase (TK) was used as a model enzyme. A simplified immobilisation for attaching the histidine-tagged TK was designed and applied to a poly(methyl methacrylate) (PMMA) surface. The technique showed successful enzyme retention and stability of the immobilisation layer in the PMMA device. A modular microfluidic chip for mimicry of phase I cytochrome P450 (P450) and phase II glucuronosyltransferase (UGT) enzyme-catalysed reactions was developed. A gold electrode immobilised with P450 was integrated into the chip for emulating metabolism of an antimalarial drug, artemether (AM). The P450 electrode allowed electrochemical generation of phase I metabolite, dihydroartemisinin (DHA) without the need for an expensive NADPH system conventionally used in batch. The product of the on-chip P450 reaction was coupled to the second microchannel with microparticles bearing UGT to mimic phase II glucuronidation reaction. The analysis showed a successful proof-of-concept of coupled AM metabolism on-chip producing a final metabolite, dihydroartemisinin-glucuronide (DHA-G). The microfluidic platform gives insight into individual enzymatic transformations of a model drug compound and presents an alternative to expensive in vitro methods.
Data collection procedures for football injuries in lower leagues: Is there a need for an updated consensus statement?

ABSTRACT In 2006 a consensus statement recommending how football injury data should be collected and reported was published. These recommendations have provided a useful framework for research over the last 10 years. However, many questions related to the underlying methodology of studies concerned with injury epidemiology and prevention in football still exist. This is particularly true for research conducted in non-professional environments. The present point-counterpoint article highlights some of these issues and asks the question: are we in need of an updated consensus statement?
A left ventricular lead implantation at the latest site based on four-dimensional computed tomography: a case report

Abstract Background Cardiac resynchronization therapy (CRT) could be an effective therapy for patients suffering from severe heart failure (HF) despite optimal medical therapy. However, it has been reported that about 30% of patients receive ineffective results even if CRT has been performed. In a recent study, four-dimensional computed tomography (4DCT) was shown to be useful for pre-operative planning in transcatheter aortic valve intervention. The 4DCT is reconstructed with 10% increments over the cardiac cycle so that the displacement of the myocardium can be evaluated over time. From the above, we considered that the most delayed site where we would implant the left ventricular (LV) lead could be recognized by 4DCT. Case summary A 55-year-old man with a recurrent admission for HF indicated for CRT was referred to our hospital. In this patient, the 12-lead electrocardiogram (ECG) showed a relatively narrow QRS complex with a left bundle branch block pattern. An echocardiography demonstrated severe LV dysfunction. Although no dyssynchrony was detected, the LV lead was inserted into the most delayed site based on the 4DCT. Three-month later, the ejection fraction increased and the cardiothoracic ratio obviously shortened. Discussion We experienced a case in which we could evaluate the effective implantation site for the LV lead based on the 4DCT even though the effective site was not detected by echocardiography, and we could implant the LV lead at that effective site. The 4DCT may be useful for implanting LV leads in effective sites.
Chronic care, integrated care, and mental health: Moving the needle now

ABSTRACT Healthcare reform is currently a hot topic in the United States, and the Chronic Care Model has frequently been cited as the foundation of recent attempts to integrate mental health and physical health care. However, challenges exist to fully integrated care that have delayed adequately meeting the multiple needs of mental health service recipients. This article highlights multiple changes that can be incorporated into mental health care now, derived from the Chronic Care Model, to better meet clients’ physical and mental health needs. These changes include focusing on population-level data and incorporating technology and multidisciplinary teams in treatment and prevention efforts.
Comunicación familiar en la era del vacío: nuevas patologías asociadas al uso problemático del móvil

Today there are diverse family structures and dynamics. Communication and affect are key factors on emotional and behavioural regulation in order to develop a healthy personality. The technological revolution has had an undeniable influence on communication. Mobile phones have the highest incidence on family dynamics, and even though they offer many advantages, they are also most commonly associated with maladaptive use. Family relationships are mediated by the use of mobile phones. A higher level of technoference is associated with a higher level of intrafamily conflict, which has a strong impact on socio-psycho-physical health, leading to pathologies such as: addiction, nomophobia, phantom vibration syndrome, FoMo, and phubbing. Current pathologies of civilisation are characterised by a sense of hyper-expression and over-excitement which eventually become pathologies of the void. It is concluded that encouraging healthy mobile phone use habits would improve communication and prevent technological interference from damaging the quality of life.