Miracle-dz/UniFAR-FTUs huggingface dataset:
The Language Model for Legal Retrieval and Bert-based Model for Rhetorical Role Labeling for Legal Judgments

This paper mainly introduces the solutions to the two tasks published in FIRE2020(forum for information retrieval evaluation), For Task1 (statistic retrieval), The task 1 is, for a given query(description of a situation), identify relevant statutes and prior-cases. This task includes two subtasks, Task1a (identifying relevant prior cases) and Task1b (identifying relevant statistics), For these two subtasks, we use the language model to score each query, and then rank them according to the score. For Task2(rhetorical role labeling for legal judgments), It requires us to classify sentences. We think it's a multi-classification problem, and finally, we use Bert to complete the classification task. In the final result, the score of Task1a is 0.125, the score of Task1b is 0.2003, and the accuracy of Task2 is 0.549. The results and experiments show that the language model is a better way to complete Task1 and Bert is better to complete task2.
Oral Manifestations of HIV

Oral manifestations of HIV are common and have been important in identification of patients harboring the HIV virus and in predicting the decline in their immune system. Careful history taking and detailed examination of the patient’s oral cavity are important parts of the physical examination. Early recognition, diagnosis, and treatment of HIV-associated oral lesions may reduce morbidity. Orofacial manifestations are among the earliest and most common clinical signs of pediatric HIV disease too. Early diagnosis of perinatally exposed infants and children is especially important because the inter¬vals between infection, development of AIDS, and death are compressed in pediatric patients. Early diagnosis allows prompt institu¬tion of both multi-drug therapy, which appears to be most effective when instituted early, and prophylactic therapy to fore¬stall life-threatening opportunistic infections. The present paper discusses in detail the oral manifestations of HIV and their diagnostic criteria in adults as well as in pediatric patients.
Visibility in Digital Space: Controlling Personal Information Online

Individuals are increasingly visible in online spaces. Posting content to social media, browsing websites, and interacting with friends are all acts that render a person visible to other individuals, networks, and corporations. At the same time, these behaviors are being logged, archived, and aggregated in a variety of unexpected and emerging ways. In this panel, we explore the tensions that arise around controlling personal information online. We do so through a series of case studies around lesbian, gay, bisexual, and transgender (LGBT) identities, children, personal data exchange, and advertising. In each, we consider the politics of visibility around personal, family, social, and community identities, especially in the context of marginalized or scrutinized populations and experiences. We aim to generate debate about appropriate sharing behaviors online and to further an agenda that prioritizes greater control of personal information online.
Advances in geometry and reflectance acquisition (course notes)

The demands for digital 3D content for numerous applications such as video games, movies, virtual prototyping, advertisement, virtual reality, augmented reality or even digital preservation of cultural heritage objects has led to a need for efficient and accurate automatic acquisition systems for both geometry and reflectance. This short course sheds light on the acquisition ecosystem with three of its most important components that consist in accurate acquisition methods for geometry and reflectance as well as strategies towards an efficient acquisition pipeline to fulfill the demands of industry with respect to mass digitization of 3D contents. In this context, this course provides a thorough overview of the standard methods for the acquisition of both geometry and reflectance of surfaces with different types of reflectance behavior ranging from diffuse over opaque to specular surfaces or even translucent and transparent surfaces. These standard acquisition techniques are - by design - only well-suited for a limited range of surface materials and, hence, not adequate if no prior information with respect to the surface reflectance behavior is available. For this reason, we also discuss recent advances towards an efficient, fully automatic acquisition in the scope of the concluding remarks.
Lesiones cariosas reversibles e irreversibles en escolares mexicanos de 11 y 12 años de edad: un análisis de regresión binomial negativa

Introduccion. La caries dental es una de las enfermedades cronicas infantiles mas frecuentes. En Mexico es un problema de salud publica bucal. Objetivo. Identificar las variables asociadas a la presencia de caries (lesiones reversibles e irreversibles) en una muestra de escolares mexicanos. Materiales y metodos. Se hizo un estudio transversal en 640 escolares de 11 y 12 anos de edad. La variable dependiente fue el indice C 1+2 POD, contemplando las lesiones cariosas (caries dental) reversibles e irreversibles segun la clasificacion C 1 /C 2 / de Pitts. Se practicaron examenes clinicos por examinadores capacitados y estandarizados. Utilizando cuestionarios estructurados, se recogieron variables sociodemograficas, socioeconomicas y sobre conductas relacionadas con la salud bucal. En el analisis se empleo el modelo de regresion binomial negativa. Resultados. El indice C 1+2 POD fue 5,68±3,47. Las caracteristicas de los escolares que estuvieron asociadas a un incremento en la media esperada del indice de caries dental fueron: ser del sexo femenino (27,1 %), tener 12 anos de edad (23,2 %), consumir mayores cantidades de azucar (13,9 %), tener higiene bucal regular (31,3 %), o tener mala o muy mala higiene bucal (62,3 %). Contrariamente, el que la familia poseyera un automovil disminuyo 13,5 % la media esperada del C 1+2 POD. Conclusiones. Cuando se toman en consideracion las caries que presentan cavidades y aquellas que se encuentran en un estado incipiente de desarrollo, se acentua aun mas el caracter de esta enfermedad (promedio de casi seis dientes con caries) como un problema clinico comun y un problema de salud publica bucal. Los resultados revelan la necesidad de establecer estrategias preventivas y curativas en la muestra. doi: http://dx.doi. org/ 10.7705/biomedica.v33i1. 841
Functional capacity to perform activities of daily living among older persons living in rural areas registered in the Family Health Strategy

This article describes the socioeconomic profile and functional capacity of older persons living in rural areas in the Municipality of Pelotas-RS, Brazil based on the following sociodemographic characteristics: age, sex, income, schooling and chronic diseases. A cross-sectional analytical study was conducted between July and October 2014 using a sample of 820 older persons. We used the Pearson chi square test of homogeneity for nominal variables and the test for trend for ordinal variables. The majority of the sample was made up of women aged,60-69 years, who were white and living with a partner. With regard to functional capacity to perform basic activities of daily living (BADL), 81.8% of individuals were classified as independent, while 54.6% were deemed completely independent for performing instrumental activities of daily living (IADL). Variables such as sex (male), age (60-69 years age group) and not having any heart problems were closely associated with the ability to perform BADL , while the ability to perform IADL was associated with age (60-69 years age group), income (1-2 salaries), education (5-8 years), and no osteoporosis. The majority of the people assessed by this study were able to perform both basic and instrumental activities of daily living.
In-Vivo Assessment of Coronary Atherosclerosis

textabstractIntravascular ultrasound (IVUS) has emerged as a highly accurate tool for the serial assessment of the natural history of coronary atherosclerosis and to evaluate the effect of different conventional and emerging drug therapies on the progression of atherosclerosis. The contemporary and future application of IVUS is linked to the study of different applications of the analysis of radiofrequency data, both for the improvement of plaque characterization and for the assessment of mechanical properties of plaques. Overall, such insightful analysis of the radiofrequency data might potentially aid the detection of plaques with allegedly high-risk characteristics and monitor their natural history in prospective natural history studies. This thesis provides important data regarding the internal and external validation of spectral analysis of radiofrequency data for the assessment of plaque composition in vivo.
Insiders' Sales Under Rule 10b5-1 Plans and Meeting or Beating Earnings Expectations

We find that firms with insider sales executed under Rule 10b5-1 plans exhibit a higher likelihood of meeting or beating analysts' earnings expectations (MBE). This relation between MBE and plan sales is more pronounced for the plan sales of chief executive officers (CEOs) and chief financial officers (CFOs) and is nonexistent for other key insiders. The market reactions to firms that successfully meet or beat expectations are relatively positive compared with their peers that fail to do so. One interpretation of our results is that CEOs and CFOs who sell under these plans may be more likely to engage in strategic behavior to meet or beat expectations in an effort to maximize their proceeds from plan sales. However, readers should exercise caution in making inferences, because the potential presence of limit order transactions makes it difficult to unambiguously determine the direction of causality of the relation we document. This paper was accepted by Mary Barth, accounting.
Cardiovascular Effects and Safety of Dental Anesthesia and Dental Interventions in Patients With Recent Uncomplicated Myocardial Infarction

To determine the cardiovascular effects and safety of dental anesthesia and dental interventions in patients within three weeks of uncomplicated acute myocardial infarction, 40 patients were studied. Twenty patients, group 1, underwent injectable local dental anesthesia with 2% lidocaine and 1:100 000 epinephrine. Group 2, 20 patients, underwent vigorous dental prophylaxis (13 patients) or dental extraction (seven patients) after local anesthesia. Heart rate, blood pressure, electrocardiograms, and symptoms were monitored before, during, and after the dental intervention. There were no significant hemodynamic changes or complications related to dental anesthesia or the dental procedures. One patient experienced an asymptomatic, uncomplicated, self-limited, eight-beat run of ventricular tachycardia two hours after dental extraction. Limited dental anesthesia and dental interventions were well tolerated by these patients with recent myocardial infarction.
The Effects of Visuomotor Calibration to the Perceived Space and Body, through Embodiment in Immersive Virtual Reality

We easily adapt to changes in the environment that involve cross-sensory discrepancies (e.g., between vision and proprioception). Adaptation can lead to changes in motor commands so that the experienced sensory consequences are appropriate for the new environment (e.g., we program a movement differently while wearing prisms that shift our visual space). In addition to these motor changes, perceptual judgments of space can also be altered (e.g., how far can I reach with my arm? ). However, in previous studies that assessed perceptual judgments of space after visuomotor adaptation, the manipulation was always a planar spatial shift, whereas changes in body perception could not directly be assessed. In this study, we investigated the effects of velocity-dependent (spatiotemporal) and spatial scaling distortions of arm movements on space and body perception, taking advantage of immersive virtual reality. Exploiting the perceptual illusion of embodiment in an entire virtual body, we endowed subjects with new spatiotemporal or spatial 3D mappings between motor commands and their sensory consequences. The results imply that spatiotemporal manipulation of 2 and 4 times faster can significantly change participants’ proprioceptive judgments of a virtual object’s size without affecting the perceived body ownership, although it did affect the agency of the movements. Equivalent spatial manipulations of 11 and 22 degrees of angular offset also had a significant effect on the perceived virtual object’s size; however, the mismatched information did not affect either the sense of body ownership or agency. We conclude that adaptation to spatial and spatiotemporal distortion can similarly change our perception of space, although spatiotemporal distortions can more easily be detected.
The Impact of Structured Event Embeddings on Scalable Stock Forecasting Models

According to the efficient market hypothesis, financial prices are unpredictable. However, meaningful advances have been achieved on anticipating market movements using machine learning techniques. In this work, we propose a novel method to represent the input for a stock price forecaster. The forecaster is able to predict stock prices from time series and additional information from web pages. Such information is extracted as structured events and represented in a compressed concept space. By using such representation with scalable forecasters, we reduced prediction error by about 10%, when compared to the traditional auto regressive models.
Using focus groups to evaluate health promotion interventions

Introduces focus group methodology to health professionals interested in the possibility of using the method to evaluate health promotion interventions. A working definition and brief history of the method is provided, followed by a summary of possible uses in the three types of evaluation: formative; process; and outcome. It suggests that professionals deciding if and when to use focus groups should consider the aim of their evaluation, the research participants who will be involved in the evaluation and the resources available. Practical issues such as preparing an appropriate topic guide, recruiting participants, facilitating the discussion, analysis and report writing are discussed.
e-ATC: using an eye-tracker to instrument the activity of air traffic control

The activity of air traffic control is complex. The operators involved in numerous interactions with computer systems to ensure the flow of air traffic in conditions of security and optimization. The mouse is the main modality to interact with different screens, while many alternatives exist. In this article, we report our study of this area of activity with the goal of using the eyes as a new input of air traffic control systems. Our study, based on a user-centered approach, includes a study of the activity, a classification of interaction techniques based on the gaze and finally a functional prototype to evaluate the developed interaction techniques. Our goal is to make an inventory on the use of the gaze as a means of interaction, and give recommendations for its use in air traffic control systems (ATC).
Primary PCI for acute myocardial infarction: clinical and angiographic features

Objectives. We sought to investigate the impact of circadian patterns in the onset of acute myocardial infarction on the practice of primary angioplasty. Background. A circadian variation in the time of onset of acute myocardial infarction with a peak in the morning hours has been described. Methods. We studied 1702 consecutive patients with acute ST segment elevation myocardial infarction treated with primary angioplasty. We observed circadian variation in frequency of symptom-onset, hospital admission, and first balloon inflation. Circadian patterns of symptom-onset, hospital admission and balloon inflation are similar. Results. A majority of patients have symptom-onset (53%), hospital admission (53%) and first balloon inflation (52%) during routine duty hours (08.00-18.00h). There were no differences in baseline clinical characteristics or treatment delays between routine duty hours and off-hours patients. Hospital admission between 08.00 and 18.00 was associated with an angioplasty failure rate of 3.8%, compared to 6.9% between 18.00 and 08.00, p<0.01. Thirty day mortality was 1.9% in patients with hospital admission between 08.00 and 18.00, compared to 4.2% in patients with hospital admission between 18.00 and 08.00, p<0.01. Conclusions. Circadian variations may have a profound effect on the practice of primary angioplasty. A majority of patients is treated during routine duty hours. Patients treated during off-hours have a higher incidence of failed angioplasty and consequently a worse clinical outcome, when compared to patients treated during routine duty hours.
Training psychosocial counselling in Nepal: content review of a specialised training programme

This paper describes the training of psychosocial counsellors as conducted by the Centre for Victims of Torture, Nepal. Both the proceedings of the training and the content are described. For clarity purposes a division is made between that part of the training in which skills are taught that can be used with more frequently encountered problems and that part of the training that deals with problems requiring a more specialised approach, such as HIV AIDS.
S-SMART

The machine recognition of user trajectories and activities is fundamental to devise context-aware applications for support and monitoring in daily life. So far, tracking and activity recognition were mostly considered as orthogonal problems, which limits the richness of possible context inference. In this work, we introduce the novel unified computational and representational framework S-SMART that simultaneously models the environment state (semantic mapping), localizes the user within this map (tracking), and recognizes interactions with the environment (activity recognition). Thus, S-SMART identifies which activities the user executes where (e.g., turning a handle next to a window), and reflects the outcome of these actions by updating the world model (e.g., the window is now open). This in turn conditions the future possibility of executing actions at specific places (e.g., closing the window is likely to be the next action at this location). S-SMART works in a self-contained manner and iteratively builds the semantic map from wearable sensors only. This enables the seamless deployment to new environments. We characterize S-SMART in an experimental dataset with people performing hand actions as part of their usual routines at home and in office buildings. The framework combines dead reckoning from a foot-worn motion sensor with template-matching-based action recognition, identifying objects in the environment (windows, doors, water taps, phones, etc.) and tracking their state (open/closed, etc.). In real-life recordings with up to 23 action classes, S-SMART consistently outperforms independent systems for positioning and activity recognition, and constructs accurate semantic maps. This environment representation enables novel applications that build upon information about the arrangement and state of the user’s surroundings. For example, it may be possible to remind elderly people of a window that they left open before leaving the house, or of a plant they did not water yet, using solely wearable sensors.
Improving Penetration Forecasts Using Social Interactions Data

We propose an approach for using individual-level data on social interactions (e.g., number of recommendations received by consumers, number of recommendations given by adopters, number of social ties) to improve the aggregate penetration forecasts made by extant diffusion models. We capture social interactions through an individual-level hazard rate in such a way that the resulting aggregate penetration process is available in closed form and nests extant diffusion models. The parameters of the model may be estimated by combining early aggregate penetration data with social interactions data collected from a sample of consumers in as few as one time period. We illustrate our approach by applying it to the mixed influence model (Bass model) and the more recent asymmetric influence model. A field study conducted in collaboration with a consumer packaged goods company and a marketing research company confirms that incorporating social interactions data using the proposed approach has the potential to result in improved aggregate penetration forecasts in managerially relevant settings. This paper was accepted by Pradeep Chintagunta, marketing.
Advance Selling: Effects of Interdependent Consumer Valuations and Seller's Capacity

We examine the impact of consumer valuation interdependence and capacity on a firm's optimal selling strategies. We consider a seller who can offer a single product to consumers twice, in advance and in spot. Consumers choose whether and when to buy, but if they buy in advance, they are uncertain about their own valuations. Whether they buy in advance or in spot, consumers' valuations are realized in the spot period and they may range from fully independent to perfectly correlated, creating markets with different characteristics of aggregate demand for the seller. Facing these consumers, the seller chooses a portion of the total capacity to offer in advance and prices in both periods. We describe how the optimal strategy and benefits of advance selling depend on the interdependence of consumer valuation, as well as capacity level and other market parameters. We find that a change in valuation interdependence can lead to dramatically different policies for the seller. For example, when individual valuations are highly diverse and the consumer population is large, the seller must offer a discount during advance selling but may limit the advance sales. On the other hand, when valuations are highly correlated, the seller can charge a premium price during advance selling. For the same valuation interdependence, the qualitative nature of the optimal strategy changes with available capacity. This paper was accepted by Martin Lariviere, operations management.
On Product-Level Uncertainty and Online Purchase Behavior: An Empirical Analysis

Online consumers are uncertain about subjective product quality e.g., fit and feel of clothing and texture of materials because of the absence of experiential information. In this paper, we examine the dynamic change of the products purchased online over time in the presence of this type of uncertainty. Using individual-level transaction data, we find that consumers purchase products with a high degree of product uncertainty as their online shopping experiences help them better estimate product quality. Our results also show that the average and highest prices of market baskets decrease around 1% when online shopping experience increases 10%. This implies that online consumers are reluctant to buy expensive products with only digitally transferred information, whereas they tend to purchase more of the cheaper products online along with their accumulated online shopping experience. We also verify the interaction effects of product uncertainty and product price on online consumers' purchase decision. When online consumers buy products priced under $50, they readily buy products with a high degree of product uncertainty regardless of their online shopping experience. But consumers are unlikely to buy expensive products online if there is a high degree of product uncertainty, even when they have accumulated much online shopping experience. In addition, we find that online vendors can effectively overcome product-level uncertainty by taking advantage of retailer reputation in the physical world and through the use of digitized video commercials. Our study on the dynamics in the set of products purchased online expands the understanding of consumer purchase behavior under uncertainty. This paper was accepted by Lorin Hitt, information systems.